Figure 1. Classical Omega-3 and Omega-6 Fatty acid synthesis pathways and the role of omega-3 fatty acid in regulating health/disease markers
The Agency for Healthcare Research and Quality (AHRQ), through its Evidence-Based Practice Centers (EPCs), sponsors the development of evidence reports and technology assessments to assist public- and private-sector organizations in their efforts to improve the quality of health care in the United States. This report on Effects of Omega-3 Fatty Acids on Cognitive Function with Aging, Dementia, and Neurological Diseases was requested and funded by AHRQ. The reports and assessments provide organizations with comprehensive, science-based information on common, costly medical conditions and new health care technologies. The EPCs systematically review the relevant scientific literature on topics assigned to them by AHRQ and conduct additional analyses when appropriate prior to developing their reports and assessments.
To bring the broadest range of experts into the development of evidence reports and health technology assessments, AHRQ encourages the EPCs to form partnerships and enter into collaborations with other medical and research organizations. The EPCs work with these partner organizations to ensure that the evidence reports and technology assessments they produce will become building blocks for health care quality improvement projects throughout the Nation. The reports undergo peer review prior to their release.
AHRQ expects that the EPC evidence reports and technology assessments will inform individual health plans, providers, and purchasers as well as the health care system as a whole by providing important information to help improve health care quality.
We welcome comments on this evidence report. They may be sent by mail to the Task Order Officer named below at: Agency for Healthcare Research and Quality, 540 Gaither Road, Rockville, MD 20850, or by email to epc@ahrq.gov.
Carolyn M. Clancy, M.D.
Director
Agency for Healthcare Research and Quality
Paul M. Coates, Ph.D.
Director, Office of Dietary Supplements
National Institutes of Health
Jean Slutsky, P.A., M.S.P.H.
Director, Center for Outcomes and Evidence
Agency for Healthcare Research and Quality
Kenneth S. Fink, M.D., M.G.A., M.P.H.
Director, EPC Program
Agency for Healthcare Research and Quality
Beth A. Collins-Sharp, R.N., Ph.D.
EPC Program Task Order Officer
Agency for Healthcare Research and Quality
The authors of this report are responsible for its content. Statements in the report should not be construed as endorsement by the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services of a particular drug, device, test, treatment, or other clinical service.
We thank Herbert D. Woolf of BASF Corporation for providing us with unpublished data on omega-3 fatty acids. We thank Di Valentine for providing translation of Italian studies, Takahiro Higashi for providing translation of Japanese studies, Matthius Schonlau for providing translation of German studies, and Grazyna Besser for providing translation of Polish studies.
Chapter 1 was written in collaboration with the New England Medical Center Evidence-based Practice Center.
Context: It has been suggested that omega 3-fatty acids have beneficial effects in several conditions and disorders affecting the central nervous system, including providing a protective effect on cognitive function with aging; dementia, particularly senile dementia of the Alzheimer's type; multiple sclerosis and some of the peroxisomal biogenesis disorders.
Objectives: To assess the effect of omega-3 fatty acids on 1) cognitive function in normal aging 2) the incidence of dementia, 3) treatment of dementia, 4) the incidence of several neurological diseases, and 5) clinical outcomes related to the progression of multiple sclerosis.
Data Sources: We searched computerized databases to identify potentially relevant studies and contacted industry experts for unpublished data.
Study Selection: We screened 5,865 titles, reviewed 497 studies - of which 62 underwent a detailed review, and found 12 studies that pertained to our objectives. We included controlled clinical trials and observational studies, including prospective cohort, case-control, and case series designs; we excluded case reports. We had no language restrictions.
Data Extraction: We abstracted data on the effects of omega-3 fatty acids and on study design; relevant outcomes; study population; source, type, amount, and duration of omega-3 fatty acid consumption; and parameters of methodologic quality.
Data Synthesis: 1) A single cohort study has assessed the effects of omega-3 fatty acids on cognitive function with normal aging and found no association for fish or total omega-3 consumption. 2 and 3) In four studies (3 prospective cohort studies and one RCT) that assessed the effects of omega-3 fatty acids on incidence and treatment of dementia, a trend in favor of omega-3 fatty acids (fish and total omega-3 consumption) toward reducing risk of dementia and improving cognitive function was reported. 4) Two studies, one cohort and one case-control, that assessed the effects of omega-3 fatty acids on incidence of MS were inconclusive. A single cohort study evaluating the effects of omega-3 fatty acids on incidence of Parkinson's disease found no significant association between dietary intake of omega 3 fatty acids (fish, ALA, EPA, or DHA) and Parkinson's. Another single case-control study found a significant association between maternal fish consumption at least once a week throughout pregnancy and a lower risk of cerebral palsy in offspring. 5) In one RCT, omega-3 fatty acids (fish, ALA, EPA, DHA) had no effect on the progression of multiple sclerosis; two single-arm open-label trials showed improvement in disability with omega-3 supplementation.
Conclusions: The quantity and strength of evidence for effects of omega-3 fatty acids on the neurological conditions assessed vary greatly. Due to the small number of studies that met our inclusion criteria, further research is necessary before substantive conclusions can be drawn. The paucity of evidence in this area suggests that a great deal of epidemiological and clinical research remains to be done before any conclusions can be drawn or policy recommendations can be made regarding the health effects of omega-3 fatty acids on normal cognitive function with aging, dementia, and neurological diseases.
This report is one of a group of evidence reports prepared by three Agency for Healthcare Research and Quality (AHRQ)-funded Evidence-Based Practice Centers (EPCs) on the role of omega-3 fatty acids (both from food sources and from dietary supplements) in the prevention or treatment of a variety of diseases. These reports were requested by the National Institutes of Health Office of Dietary Supplements and several institutes at the National Institutes of Health (NIH). The three EPCs - the Southern California EPC (SCEPC, based at RAND), the Tufts-New England Medical Center (NEMC) EPC, and the University of Ottawa EPC - have each produced evidence reports. To ensure consistency of approach, the three EPCs collaborated on selected methodological elements, including literature search strategies, rating of evidence, and data table design.
The aim of these reports is to summarize the current evidence on the effects of omega-3 fatty acids on prevention and treatment of cardiovascular diseases, cancer, child and maternal health, eye health, gastrointestinal/renal diseases, asthma, immune-mediated diseases, tissue/organ transplantation, mental health, and neurological diseases and conditions. In addition to informing the research community and the public on the effects of omega-3 fatty acids on various health conditions, it is anticipated that the findings of the reports will also be used to help define the agenda for future research.
This report focuses on the effects of omega-3 fatty acids on cognitive function with aging, dementia, and neurological diseases. Other reports from the SCEPC focus on cancer and immune-mediated diseases, bone metabolism, and gastrointestinal/renal diseases.
This chapter provides a brief review of the current state of knowledge about the metabolism, physiological functions, and sources of omega-3 fatty acids.
Dietary fat has long been recognized as an important source of energy for mammals, but in the late 1920s, researchers demonstrated the dietary requirement for particular fatty acids, which came to be called essential fatty acids. It was not until the advent of intravenous feeding, however, that the importance of essential fatty acids was widely accepted: Clinical signs of essential fatty acid deficiency are generally observed only in patients on total parenteral nutrition who received mixtures devoid of essential fatty acids or in those with malabsorption syndromes. These signs include dermatitis and changes in visual and neural function. Over the past 40 years, an increasing number of physiological functions, such as immunomodulation, have been attributed to the essential fatty acids and their metabolites, and this area of research remains quite active.1, 2
The fat found in foods consists largely of a heterogeneous mixture of triacylglycerols (triglycerides)--glycerol molecules that are each combined with three fatty acids. The fatty acids can be divided into two categories, based on chemical properties: saturated fatty acids, which are usually solid at room temperature, and unsaturated fatty acids, which are liquid at room temperature. The term “saturation” refers to a chemical structure in which each carbon atom in the fatty acyl chain is bound to (saturated with) four other atoms, these carbons are linked by single bonds, and no other atoms or molecules can attach; unsaturated fatty acids contain at least one pair of carbon atoms linked by a double bond, which allows the attachment of additional atoms to those carbons (resulting in saturation). Despite their differences in structure, all fats contain approximately the same amount of energy (37 kilojoules/gram, or 9 kilocalories/gram).
The class of unsaturated fatty acids can be further divided into monounsaturated and polyunsaturated fatty acids. Monounsaturated fatty acids (the primary constituents of olive and canola oils) contain only one double bond. Polyunsaturated fatty acids (PUFAs) (the primary constituents of corn, sunflower, flax seed, and many other vegetable oils) contain more than one double bond. Fatty acids are often referred to using the number of carbon atoms in the acyl chain, followed by a colon, followed by the number of double bonds in the chain (e.g., 18:1 refers to the 18-carbon monounsaturated fatty acid, oleic acid; 18:3 refers to any 18-carbon PUFA with three double bonds).
| Names | Abbreviations | |||
|---|---|---|---|---|
| Trivial | IUPAC* | Carboxyl-reference | Omega-reference | Other |
| Linolenic acid | 9, 12, 15-octadecenoic acid | 18:3Δ9 12 15 | 18:3n-3 | ALA |
| alpha-linolenic acid | 18:3 (ω-3) | α-LA | ||
| LNA | ||||
| α-LNA | ||||
| Docosahexaenoic acid | 4, 8, 12, 15, 19- docosahexaenoic acid | 22:6Δ4 8 12 15 19 | 22:6n-3 | DHA |
| cervonic acid | 22:6 (ω-3) | |||
| Docosapentaenoic acid | 7, 10, 13, 16, 19- docosapentaenoic acid | 22:5Δ7 10 13 16 19 | 22:5n-3 | DPA |
| 22:5 (ω-3) | ||||
| Eicosapentaenoic acid | 5, 8, 11, 14, 17- eicosapentaenoic acid | 20:5Δ5 8 11 14 17 | 20:5n-3 | EPA |
| Icosapentaenoic acid | 20:5 (ω-3) | |||
| Timnodonic acid | ||||
IUPAC=International Union of Pure and Applied Chemistry
Finally, PUFAs can be categorized according to their chain length. The 18-carbon n-3 and n-6 shorter-chain PUFAs are precursors to the longer 20- and 22-carbon PUFAs, called very-long-chain PUFAs (VLCPUFAs).
Mammalian cells can introduce double bonds into all positions on the fatty acid chain except the n-3 and n-6 position. Thus, the shorter-chain alpha-linolenic acid (ALA, chemical abbreviation: 18:3n-3) and linoleic acid (LA, chemical abbreviation: 18:2n-6) are essential fatty acids. No other fatty acids found in food are considered ‘essential’ for humans, because they can all be synthesized from the shorter chain fatty acids.
Following ingestion, ALA and LA can be converted in the liver to the long chain, more-unsaturated n-3 and n-6 VLCPUFAs by a complex set of synthetic pathways that share several enzymes (Figure 1.1
The omega-6 fatty acid LA is converted to gamma-linolenic acid (GLA, 18:3n-6), an omega-6 fatty acid that is a positional isomer of ALA. GLA, in turn, can be converted to the longer-chain omega-6 fatty acid, arachidonic acid (AA, 20:4n-6). AA is the precursor for certain classes of an important family of hormone-like substances called the eicosanoids (see below).
The omega-3 fatty acid ALA (18:3n-3) can be converted to the long-chain omega-3 fatty acid, eicosapentaenoic acid (EPA; 20:5n-3). EPA can be elongated to docosapentaenoic acid (DPA 22:5n-3), which is further elongated, desaturated, and beta-oxidized to produce docosahexaenoic acid (DHA; 22:6n-3). EPA and DHA are also precursors of several classes of eicosanoids and docosanoids, respectively, are known to play several other critical roles, some of which are discussed further below.
The conversion from parent fatty acids into the VLC PUFAs - EPA, DHA, and AA - appears to occur slowly in humans. In addition, the regulation of conversion is not well understood, although it is known that ALA and LA compete for entry into the metabolic pathways.
As stated earlier, fatty acids play a variety of physiological roles. The specific biological functions of a fatty acid are determined by the number and position of double bonds and the length of the acyl chain.
Both EPA (20:5n-3) and AA (20:4n-6) are precursors for the formation of a family of hormone-like agents called eicosanoids. Eicosanoids are rudimentary hormones or regulatory molecules that appear to occur in most forms of life. However, unlike endocrine hormones, which travel in the blood stream to exert their effects at distant sites, the eicosanoids are autocrine or paracrine factors, which exert their effects locally - in the cells that synthesize them or adjacent cells. Processes affected include the movement of calcium and other substances into and out of cells, relaxation and contraction of muscles, inhibition and promotion of clotting, regulation of secretions including digestive juices and hormones, and control of fertility, cell division, and growth.3
EPA (0522:6 n-3) also affects lipoprotein metabolism and decreases the production of substances - including cytokines, interleukin 1β (IL-1β), and tumor necrosis factor α (TNF-α) - that have pro-inflammatory effects (such as stimulation of collagenase synthesis and the expression of adhesion molecules necessary for leukocyte extravasation [movement from the circulatory system into tissues]).2 DPA (22:5n-3), the elongation product of EPA, is metabolized to DHA (22:6n-3). DHA (22:6n-3) is the precursor to a newly-described metabolite called 10,17S-docosatriene,4 which is part of a family of compounds called ‘resolvins.’5 They are in the brain in response to an ischemic insult and counteract the pro-inflammatory actions of infiltrating leukocytes by blocking interleukin 1-beta-induced NF-kappaB activation and cyclooxygenase-2 expression.6 DHA also plays a role in retinal rod outer segments by influencing membrane fluidity so as to optimize G protein coupled signaling.7 The mechanism responsible for the suppression of cytokine production by omega-3 LC PUFAs and VLCPUFAs remains unknown, although suppression of omega-6-derived eicosanoid production by omega-3 fatty acids may be involved, because the omega-3 and omega-6 fatty acids compete for common enzymes in the fatty acid metabolic pathway, including delta-6 desaturase, as well as the rate-limiting enzymes in the eicosanoid pathway - phospholipases A2, cyclooxygenase, and lipoxygenase.
DPA (22:5n-3) (the elongation product of EPA) and its metabolite DHA (22:6n-3) are frequently referred to as very long chain n-3 fatty acids (VLCFA). Along with AA, DHA is the major PUFA found in the brain and is thought to be important for brain development and function. Recent research has focused on this role and the effect of supplementing infant formula with DHA (since DHA is naturally present in human breast milk but not in formula).
| Food/supplement | EPA | DHA | DPA | ALA |
|---|---|---|---|---|
| 20:5n-3 | 22:6n-3 | 22:5n-3 | 18:3n-3 | |
| Food/Supplement in which Total Omega-3 Fatty Acids account for more than 50% of Total PUFA | ||||
| Fish | ||||
| Anchovy | ![]() | ![]() | ![]() | |
| Halibut | ![]() | ![]() | ![]() | |
| Herring | ![]() | ![]() | ![]() | |
| Mackerel | ![]() | ![]() | ![]() | |
| Salmon | ![]() | ![]() | ![]() | |
| Sardine | ![]() | ![]() | ![]() | |
| Tuna | ||||
Canned, water packed | ![]() | ![]() | ![]() | |
| Fresh Bluefin | ![]() | ![]() | ![]() | |
| Oils/Supplements | ||||
| Cod liver oils | ![]() | ![]() | ![]() | |
| Coromega* | ![]() | ![]() | ||
| Fish oil capsules* | ![]() | ![]() | ||
| Flaxseed/linseed oil* | ![]() | |||
| Herring oil | ![]() | ![]() | ![]() | |
| MaxEPA* | ![]() | ![]() | ||
| Menhaden oil | ![]() | ![]() | ![]() | |
| Neuromins* | ![]() | |||
| Omacor* | ![]() | ![]() | ||
| Ropufa* | ![]() | ![]() | ![]() | |
| Salmon oil | ![]() | ![]() | ![]() | |
| Sardine oil | ![]() | ![]() | ![]() | |
| Seeds and other foods | ||||
| Flaxseeds/Linseeds | ![]() | |||
| Spinach, cooked | ![]() | |||
| Foods/Supplements in which total Omega 3 fatty acids are 10–50% of total PUFA | ||||
| Oils | ||||
| Black currant oil | ![]() | |||
| Canola oil† | ![]() | |||
| Mustard seed oils | ![]() | |||
| Soybean oil | ![]() | |||
| Walnut oil | ![]() | |||
| Wheat germ oil | ![]() | |||
| Other foods | ||||
| Wheat germ | ![]() | |||
| Human milk‡ | ![]() | |||
| Foods/Supplements in which total omega 3 fatty acids are less than 10% of total PUFA | ||||
| Efamol Marine* | ![]() | ![]() | ||
| Peanut butter | ![]() | |||
| Soybeans | ![]() | |||
| Olive oil | ![]() | |||
| Walnuts | ![]() | |||
Dietary Supplement;
† Also called rapeseed oil;
‡ The amounts of ALA, EPA, and DHA in human milk vary greatly as a function of maternal diet; the amount of DHA rarely seems to exceed 25 percent of the total n-3 PUFA content (ALA is present in the greatest amount), but that content as well as the proportion of DHA is assumed to meet the requirements of the infant.
| EPA+DHA | ALA | EPA+DHA | ALA | ||
|---|---|---|---|---|---|
| Fish (3oz. Cooked) | Oils (1 Tbs.) | ||||
| Anchovy | ![]() | Canola | ![]() | ||
| Halibut | ![]() | Cod liver | ![]() | ||
| Herring, Atlantic | ![]() | Flaxseed/linseed | ![]() | ||
Pacific | ![]() | Herring | ![]() | ||
| Mackerel, Atlantic | ![]() | Menhaden | ![]() | ||
Pacific | ![]() | Salmon | ![]() | ||
| Salmon, Atlantic† | ![]() | Sardine | ![]() | ||
| Sardines | ![]() | Soybean | ![]() | ||
| Trout, Rainbow | ![]() | Walnut | ![]() | ||
| Tuna, Albacore |
| Wheat germ |
| ||
Canned light, water-packed |
| ||||
Canned white, water-packed |
| ||||
Fresh Bluefin | ![]() | ||||
| Organ Meats (3 oz. Cooked) | Seeds | ||||
| Brain, lamb | ![]() | Flaxseeds/linseeds (1 Tbs.) | ![]() | ||
| Brain, pork | ![]() | ||||
| Thymus, calf | ![]() | ||||
| Other Foods | |||||
| Caviar (1 oz.) ‡ | ![]() | ||||
| Human breast milk (1c) ‡ | § | ![]() | |||
| Soybeans, cooked (1/2c) | ![]() | ||||
| Spinach, cooked (1/2c) | ![]() | ||||
| Tofu, regular (1/2c) | ![]() | ||||
| Walnuts (1/4c) | ![]() | ||||
| Wheat germ (1/4c) ‡ | ![]() | ||||
Source: Figures adapted from USDA, 2003;
Foods that provide (per serving) 10 percent or more of the Adequate Intake (AI) for ALA or the Acceptable Macronutrient Distribution Range (AMDR) for EPA and DHA (10 percent of the AMDR for ALA); an AI is a recommended average daily intake level based on observed or experimentally determined estimates of nutrient intake by a group of apparently healthy people (thus, assumed to be adequate) when an RDA cannot be determined; an AMDR is defined as “a range of intakes for a particular energy source that is associated with reduced risk of chronic disease while providing adequate intake of essential nutrients.”;
† Farm-raised Atlantic salmon have nearly identical omega-3 fatty acid levels to wild Atlantic salmon and significantly more omega-3 fatty acids than wild Pacific salmon;
‡ Standard serving size not established;
| Grams/day | Percent energy intake/day | |||
|---|---|---|---|---|
| Mean ± SEM | Median (range)† | Mean ± SEM | Median (range)† | |
| LA (18:2n-6) | 14.1 ± 0.2 | 9.9 (0 – 168) | 5.79 ± 0.05 | 5.30 (0 – 39.4) |
| ALA (18:3n-3) | 1.33 ± 0.02 | 0.90 (0 – 17) | 0.55 ± 0.004 | 0.48 (0 – 4.98) |
| EPA (20:5n-3) | 0.04 ± 0.003 | 0.00 (0 – 4.1) | 0.02 ± 0.001 | 0.00 (0 – 0.61) |
| DHA (22:6n-3) | 0.07 ± 0.004 | 0.00 (0 – 7.8) | 0.03 ± 0.002 | 0.00 (0 – 2.86) |
Based on analysis of a single 24-hour dietary recall from NHANES III data;
† Distributions are not adjusted for the over-sampling of Mexican -Americans, non-Hispanic African Americans, children five years old and under, and adults 60 years and over in the NHANES III dataset.
| Mean (gms/d) (± SEM)† | Range of Means (gms/d) (±SEM) | Median (gms/d) (± SEM)† | |
|---|---|---|---|
| LA (18:2n-6) | 13.0 ± 0.1 | 6.7 ± 0.1–17.6 ± 0.5 | 12.0 ± 0.1 |
| Total n-3 FA | 1.40 ± 0.01 | 0.72 ± 0.02 – 1.86 ± 0.04 | 1.30 ± 0.01 |
| ALA (18:3n-3) | 1.30 ± 0.01 | 0.72 ± 0.02 – 1.73 ± 0.04 | 1.21 ± 0.01 |
| EPA (20:5n-3) | 0.028 | 0.002 – 0.049 | 0.004 |
| DPA (22:5n-3) | 0.013 | 0.001 – 0.019 | 0.005 |
| DHA (22:6n-3) | 0.057 ± 0.018 | < 0.0005 ± 0.001 | 0.046 ± 0.013 |
Source: Adapted from Dietary Reference Intakes Report;
Estimates are based on respondents' intakes on the first day of survey and were adjusted using the Iowa State University method;
† For all individuals.
Lacking sufficient evidence from research on the effects or correction of dietary deficiencies to establish Recommended Dietary Allowances (RDAs) for the essential fatty acids, the Food and Nutrition Board (FNB) of the Institute of Medicine9 has set adequate intakesii (AI) for the essential fatty acids, based on the average intakes of healthy CSFII participants. The AIs for the essential fatty acids vary by age group and sex, as well as for particular conditions such as pregnancy and breastfeeding. For ALA, the AI for men 19 and older, is 1.6 grams/day and the AI for (non-pregnant, non-breastfeeding) women is 1.1 grams/day. The AI for LA is 17 grams/day for men and 11 grams/day for women.
| Food item | EPA | DHA | ALA |
|---|---|---|---|
| Fish (Cooked in dry heat unless otherwise specified) | |||
| Anchovy, European | 0.8 | 1.3 | - |
| Bass, Freshwater, Mixed Sp. | 0.3 | 0.5 | 0.1 |
| Bass, Striped | 0.2 | 0.8 | trace |
| Bluefish | 0.3 | 0.7 | - |
| Carp | 0.3 | 0.3 | 0.3 |
| Catfish, Channel, farmed | trace | 0.1 | 0.1 |
| Cod, Atlantic | trace | 0.2 | trace |
| Cod, Pacific | 0.1 | 0.2 | trace |
| Eel, Mixed Sp. | 0.1 | 0.1 | 0.6 |
| Flounder & Sole Sp. | 0.2 | 0.3 | trace |
| Grouper, Mixed Sp. | trace | 0.2 | - |
| Haddock | 0.1 | 0.2 | trace |
| Halibut, Atlantic and Pacific | 0.1 | 0.4 | 0.1 |
| Halibut, Greenland | 0.7 | 0.5 | 0.1 |
| Herring, Atlantic | 0.9 | 1.1 | 0.1 |
| Herring, Pacific | 1.2 | 0.9 | 0.1 |
| Mackerel, Atlantic | 0.5 | 0.7 | 0.1 |
| Mackerel, Pacific and Jack | 0.7 | 1.2 | 0.1 |
| Mullet, Striped | 0.2 | 0.1 | trace |
| Ocean Perch, Atlantic | 0.1 | 0.3 | 0.1 |
| Pike, Northern | trace | 0.1 | trace |
| Pike, Walleye | 0.1 | 0.3 | trace |
| Pollock, Atlantic | 0.1 | 0.5 | - |
| Pompano, Florida | 0.2 | 0.5 | - |
| Roughy, Orange | trace | - | trace |
| Salmon, Atlantic, Farmed | 0.7 | 1.5 | 0.1 |
| Salmon, Atlantic, Wild | 0.4 | 1.4 | 0.4 |
| Salmon, Chinook | 1.0 | 0.7 | 0.1 |
| Salmon, Chinook, Smoked(lox) | 0.2 | 0.3 | - |
| Salmon, Chum | 0.3 | 0.5 | trace |
| Salmon, Coho, Farmed | 0.4 | 0.9 | 0.1 |
| Salmon, Coho, Wild | 0.4 | 0.7 | 0.1 |
| Salmon, Pink | 0.4 | 0.6 | trace |
| Salmon, Pink, Canned | 0.8 | 0.8 | 0.1 |
| Salmon, Sockeye | 0.5 | 0.7 | 0.1 |
| Sardine, Atlantic, Canned in Oil | 0.5 | 0.5 | 0.5 |
| Sea bass, Mixed Sp. | 0.2 | 0.6 | - |
| Seatrout, Mixed Sp. | 0.2 | 0.3 | trace |
| Shark, Mixed Sp., battered and fried | 0.3 | 0.4 | 0.2 |
| Snapper, Mixed Sp. | 0.1 | 0.3 | 0.1 |
| Swordfish | 0.1 | 0.7 | 0.2 |
| Trout, Mixed Sp. | 0.3 | 0.7 | 0.2 |
| Trout, Rainbow, Farmed | 0.3 | 0.8 | 0.1 |
| Trout, Rainbow, Wild | 0.5 | 0.5 | 0.2 |
| Tuna, Fresh, Bluefin | 0.4 | 1.1 | - |
| Tuna, Fresh, Skipjack | trace | 0.2 | - |
| Tuna, Fresh, Yellowfin | trace | 0.2 | trace |
| Tuna, Light, Canned in Oil | trace | 0.1 | trace |
| Tuna, Light, Canned in Water | trace | 0.2 | trace |
| Tuna, White, Canned in Oil | trace | 0.2 | 0.2 |
| Tuna, White, Canned in Water | 0.2 | 0.6 | trace |
| Whitefish, Mixed Sp. | 0.4 | 1.2 | 0.2 |
| Whitefish, Mixed Sp., Smoked | trace | 0.2 | - |
| Wolf fish, Atlantic | 0.4 | 0.4 | trace |
| Shellfish (Raw) | |||
| Abalone, Mixed Sp., fried | 0.1 | 0.1 | 0.1 |
| Clam, Mixed Sp., moist heat | 0.1 | 0.1 | trace |
| Crab, Alaska King, moist heat | 0.3 | 0.1 | - |
| Crab, Blue, moist heat | 0.2 | 0.2 | - |
| Crayfish, Mixed Sp., Farmed | 0.1 | trace | trace |
| Lobster, Northern, moist heat | 0.1 | trace | trace |
| Mussel, Blue | 0.3 | 0.5 | trace |
| Oyster, Eastern, Farmed | 0.2 | 0.2 | 0.1 |
| Oyster, Eastern, Wild | 0.3 | 0.3 | 0.1 |
| Oyster, Pacific | 0.9 | 0.5 | 0.1 |
| Scallop, Mixed Sp. | 0.2 | 0.2 | - |
| Shrimp, Mixed Sp. | 0.2 | 0.1 | trace |
| Squid, Mixed Sp., fried | 0.2 | 0.4 | 0.1 |
| Fish Oils | |||
| Cod Liver Oil | 6.9 | 11.0 | 0.9 |
| Herring Oil | 6.3 | 4.2 | 0.8 |
| Menhaden Oil | 13.2 | 8.6 | 1.5 |
| Salmon Oil | 13.0 | 18.2 | 1.1 |
| Sardine Oil | 10.1 | 10.7 | 1.3 |
| Nuts and Seeds | |||
| Butternuts, Dried | - | - | 8.7 |
| Flaxseed | 18.1 | ||
| Walnuts, English | - | - | 9.1 |
| Plant Oils | |||
| Canola (Rapeseed) | - | - | 9.3 |
| Flaxseed Oil | - | - | 53.3 |
| Soybean Lecithin Oil | - | - | 5.1 |
| Soybean Oil | - | - | 6.8 |
| Walnut Oil | - | - | 10.4 |
| Wheatgerm Oil | - | - | 6.9 |
Source: Figures adapted from USDA, 2003;
Sp = species.
About 50 to 60 percent of the dry weight portion of the human brain consists of lipids. PUFAs constitute approximately 35 percent of that lipid content.10 Omega-3 fatty acids, particularly EPA and DHA, play important roles in the development and maintenance of normal central nervous system (CNS) structure and function. Along with the omega-6 fatty acid, AA, DHA is a major constituent of neuronal membranes, making up about 20 percent of the brain's dry weight.11 Synapses contain a high concentration of DHA, which appears to play a role in synaptic signal transduction.12 The metabolic pathways of the essential fatty acids that play an important role in neuronal signal transduction are schematically illustrated in Figure 1.2
Work in animal models has reported superior learning and memory in animals fed omega-3 fatty acids compared with control animals.17, 18 In transgenic mouse models, dietary DHA improved memory, increased synapse density and decreased amyloid beta toxicity, thus providing evidence of protection against AD and cognitive decline.19, 20
Deficiencies in omega-3 FA and/or an imbalance in the ratio of omega-6 FA to omega-3 FA have been implicated in a variety of disorders affecting the CNS, including Alzheimer's disease (AD),21–26 the peroxisomal biogenesis disorders (a collection of relatively rare neurological conditions, of which Zellweger's syndrome is one of the most common),27–32 several psychiatric disorders,9, 11, 13, 33 Parkinson's disease,34, 35 amyotrophic lateral sclerosis (ALS),36 Huntington's disease,37–39 ischemic brain injury,36 and multiple sclerosis (MS).40–49 Indeed, dietary intake of omega-3 FA has been associated with a reduced incidence of MS since the early studies of Swank in the 1950s.50
Various animal and human studies have suggested several possible biological mechanisms for the role of FA in disease processes. Evidence for a positive association between intake of omega-3 FA and reduction of cardiovascular risk and adverse outcomes,51 along with the finding that certain forms of dementia have been related to cardiovascular risk factors, suggest that one mechanism linking FA and cognitive function or dementia may be atherosclerosis and thrombotic events.52 Inflammation is another mechanism that may explain the role that omega-3 fatty acids play in dementia.53
Several intervention trials in human infants have investigated the effects of omega-3 FA on cognitive development.50, 54 Research has also shown these FA to be important in human infant visual development. A meta-analysis of several intervention trials showed that healthy pre-term infants who were administered DHA-supplemented formula had significantly higher visual resolution acuity at two and four months of age compared with infants fed DHA-free formula.55
However, few clinical intervention trials have examined the role of omega-3 FA in changes in cognitive function with aging and adult neurological conditions. The studies that have investigated the relationship between omega-3 FA intake and cognitive function, dementia, or other neurological diseases are mainly observational.
Epidemiological studies have suggested that groups of people who consume diets high in omega-3 FAs may experience a lower prevalence of certain neurological conditions, particularly cognitive impairment and dementia disorders. In addition, several studies have attempted to assess the effects of adding omega-3 FA to the diet, either as omega-3 FA-rich foods or as dietary supplements (primarily fish oils) in the treatment of certain neurological diseases, notably MS.
In response to this evidence, a number of omega-3 FA-containing dietary supplements that claim to protect against a variety of conditions have appeared on the market. Thus, AHRQ and the National Institutes of Health (NIH) Office of Dietary Supplements (ODS) have requested a synthesis of the research to date on the health effects of diets rich in omega-3 FA.
The remainder of this report is organized into four chapters. Chapter Two describes the methods we used to identify and review studies related to the role of omega-3 FA in cognitive function with aging, dementia, and other neurological diseases/conditions. We did not analyze any studies on the role of omega-3 fatty acids in stroke because this topic has been addressed by the New England EPC in their report on Effects of Omega-3 Fatty Acids on Cardiovascular Disease. Chapter Three presents our findings related to the effects of omega-3 FA on those diseases/conditions. Chapter Four presents our conclusions and recommendations for future research in this area.
The topic of this report was nominated by the NIH ODS. The three participating Evidence-Based Practice Centers (EPCs) were asked to examine the effects of omega-3 fatty acids, in general, and on the following conditions: Cardiovascular Disease, Transplantation, Immune-Mediated Diseases, Gastrointestinal/Renal Diseases, Cancer, Neurological conditions, Asthma, Child/Maternal Health, Eye Health, and Mental Health. The Southern California EPC (SCEPC) was responsible for examining Immune-Mediated Diseases and Gastrointestinal/Renal Diseases in Year-one of the project and Cancer and Neurological conditions in Year-two of the project.
The methodology that we used for this study included the following:
Refining the preliminary questions provided by AHRQ,
Convening a technical expert panel to advise the SCEPC on the study,
Identifying sources of evidence in the scientific literature,
Establishing inclusion/exclusion criteria for the studies identified in the scientific literature,
Identifying potential evidence with attention to controlled clinical trials using omega-3 fatty acids,
Evaluating potential evidence for methodological quality and relevance,
Extracting data from studies meeting methodological and clinical criteria,
Synthesizing the results,
Performing further statistical analysis on selected studies, as appropriate,
Performing meta-analyses where appropriate,
Submitting the results to technical experts for peer review,
Incorporating reviewers' comments into a final report for submission to AHRQ.
Preliminary questions for the project were developed by ODS in collaboration with the following NIH Institutes: (a) National Cancer Institute (NCI); (b) National Eye Institute (NEI); (c) National Heart, Lung, and Blood Institute (NHLBI); (d) National Institute of Alcohol Abuse and Alcoholism (NIAAA); (e) National Institute of Allergy and Infectious Diseases (NIAID); (f) National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS); (g) National Institute of Child Health and Human Development (NICHD); (h) National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK); (i) National Institute of Mental Health; and (j) National Institute of Neurological Disorders and Stroke (NINDS). The general and disease-specific questions that were originally proposed are detailed in Appendix A.1.
Each AHRQ evidence report is guided by a Technical Expert Panel (TEP). The TEP advises the SCEPC on refining the preliminary questions, determining the proper inclusion/exclusion criteria for the studies, determining populations of interest, establishing proper outcome measures, and conducting appropriate analyses.
We convened a TEP that focused on neurological diseases and conditions. The TEP was composed of distinguished basic scientists and clinicians, with established expertise in omega-3 FA, human nutrition, dietary assessment methods, and neurology. In addition to the experts that we identified, AHRQ and the NIH Institute of Neurological Disorders and Stroke (NINDS) and Institute on Aging (NIA) recommended a number of industry experts. The members of our technical expert panel are listed by name along with a summary of their key comments and recommendations in Appendix A.2.
Based on input from our TEP, the preliminary disease-specific questions were revised. The questions that are addressed in this report are as follows:
What is the evidence that omega-3 fatty acids play a role in maintaining cognitive function in normal aging?
What is the evidence that omega-3 fatty acids affect the incidence of dementia including Alzheimer's disease?
What is the evidence that omega-3 fatty acids are effective in the treatment of dementia including Alzheimer's disease?
What is the evidence that omega-3 fatty acids affect the incidence of neurological diseases?
What is the evidence that omega-3 fatty acids prevent the progression of multiple sclerosis?
Potential evidence for our study came from three sources: on-line library databases, the reference lists of all relevant articles, and industry experts.
Jessie McGowan, Senior Information Scientist, and Nancy Santesso, Knowledge Translation Specialist, at the University of Ottawa were responsible for developing a common search strategy for omega-3 FA for the 3 participating EPCs. Nancy Santesso developed a core omega-3 search strategy in collaboration with project librarians, biochemists, nutritionists, and clinicians, who also provided biochemical names, abbreviations, food sources, and commercial product names for omega-3 FA. The literature search was not restricted by language of publication or by study design, in order to increase sensitivity. When possible, the searches were limited to studies involving human subjects. The core search strategy is detailed in Appendix A.4.
For the SCEPC, this core search strategy was incorporated into a search for cognitive function with aging, Alzheimer's disease, and other neurological diseases/conditions. The strategy for this search is detailed in Appendix A.4.
The following databases were searched: Medline (1966-2003), Premedline (December, 2003), Embase (1980-2003), Cochrane Central Register of Controlled Trials (4th Quarter, 2003), CAB Health (1973-2003), Dissertation Abstracts (1861-2003). All of these databases were searched using the Ovid interface, except CAB Health, which was searched through SilverPlatter. Any duplicate records were identified and removed within each search question using Reference Manager software. The citations obtained from these literature searches were sent to the SCEPC via e-mail.
Two experienced reviewers, Walter Mojica and Amalia Issa, who were blinded to study authors and sources independently evaluated the citations and corresponding abstracts, if available. The reviewers selected article titles that focused on omega-3 FA and normal cognitive function with aging, dementia, and other neurologic diseases/conditions. In addition, they selected article titles that pertained to the disease conditions of the other participating EPCs. Language was not a barrier to inclusion. Articles that either reviewer selected were ordered, as well as those articles whose relevance could not be determined from the title or abstract. The articles were ordered from the UCLA library, or Infotrieve, a Los Angeles-based literature retrieval firm with contacts around the world. The literature was tracked using ProCite and Access software.
In addition, we sent letters to industry experts recommended by the ODS to obtain any unpublished data (Figure A.3.1).
For the studies that passed our screening criteria, two reviewers independently abstracted detailed data onto a specialized quality review form (QRF) (Figure B.2, Appendix B).
Walter Mojica and Amalia Issa independently reviewed all of the studies. The reviewers resolved differences through consensus, and a senior physician researcher, Catherine MacLean, resolved any disagreements that could not be resolved through this method.
The QRF included questions about the study design; the outcomes of interest; study sample characteristics; details on the intervention, such as the dose, frequency, and duration; adverse events; the elapsed time between the intervention and outcome measurements, and, the types of outcome measures.
We consulted with several outside scientists to complete QRFs for foreign-language articles. Foreign language articles were reviewed as follows. Spanish-language articles were reviewed by Walter Mojica, French-language articles by Amalia Issa who are fluent in these languages. For other foreign-language articles, a single reviewer who is fluent in the language worked with Catherine MacLean to complete the standard abstraction form.
To evaluate the quality of the design and execution of observational studies, we collected information about the validity of ascertainment of cases and exposure, description of withdrawals and dropouts, and adjustment for confounders and blinded assessment of exposure and case status when ascertaining case and exposure status, respectively.57, 58 We also described whether exposure occurred prior to the outcome, whether study groups were comparable, and whether there appeared to be selection bias. A score for quality was not calculated for observational studies, as there is no validated method to do so.
Because too few studies were identified to perform pooled analyses (meta-analysis), we performed a qualitative synthesis of the evidence.
This report is organized by five different study questions. For each study question we describe the number and design of studies identified that pertained to the question and describe the overall effect of omega-3 fatty acids across the studies. We describe the unit of analysis for omega-3 consumption, i.e. fish, total omega-3, DHA, EPA or ALA. We summarized the point estimates and statistical testing that were described in the original studies and state when these parameters were not reported. We specifically comment on whether the studies assessed the effects of omega-3 fatty acids on sub-populations, the effects of covariates on outcomes, the effects of omega-3 fatty acid source, dose and exposure duration and sustainment of effect after treatment with omega-3 fatty acids. When these parameters were assessed they were described. We also describe the quality and applicability of the studies for each topic. Of note, we describe whether information on covariates was reported in two ways and for two reasons. First, we report whether covariates had a specific effect on the outcome of interest and the magnitude of the effect if it was significant. Second, we report whether there was adjustment for covariates as a measure of methodologic quality.
Figure 3.1
Summaries of all evaluated neurological studies can be found in Appendix C (Tables C.1 through C.4).
| Author, Year | Outcome | Study arm (quartile, quintile or dose group) | n | Amount | Estimates of effect | ||||
|---|---|---|---|---|---|---|---|---|---|
| Cohort | Age-adjusted OR (95% CI) | Multivariable RR (95% CI) | Multivariable Adjustors | ||||||
| Fish | |||||||||
| Kalmijn, 199759 | Cognitive impairment | None | NR | none | 1.0 | 1.0 | Age, education, cigarette smoking, alcohol consumption, energy intake, baseline MMSE score. | ||
| Zutphen Elderly Study | High | NR | > 0–20 g/day | 0.43 | (0.23–0.78) | 0.63 | (0.33–1.21) | ||
| Total 476 | p = 0.004‡ | p = 0.13‡ | |||||||
| Cognitive decline | None | NR | none | NR | 1.0 | ||||
| High | NR | > 0–20 g/day | NR | 0.45 | (0.17–1.16) | ||||
| Total 342 | p = 0.09‡ | ||||||||
| Omega-3 fatty acids† | |||||||||
| Kalmijn, 199759 | Cognitive impairment | Low | NR | 0–37.5 mg/day | 1.00 | NR | Age, education, cigarette smoking, alcohol consumption, energy intake, baseline MMSE score. | ||
| Zutphen Elderly Study | Medium | NR | 37.5–155.5 mg/day | 1.09 | (0.65–1.80) | NR | |||
| High | NR | 155.5–2,110.5 mg/d | 0.96 | (0.57–1.62) | NR | ||||
| Total 476 | p = 0.9‡ | ||||||||
| Cognitive decline | Low | NR | 0–37.5 mg/day | 1.00 | NR | NR | |||
| Medium | NR | 37.5–155.5 mg/day | 0.85 | (0.40–1.82) | NR | ||||
| High | NR | 155.5–2,110.5 mg/d | 0.78 | (0.35–1.73) | NR | ||||
| Total 342 | p=0.5 | ||||||||
NR= not reported;
† EPA and DHA;
‡ test for trend.
Sub-populations. This study did not evaluate the differential effects of omega-3 FA on distinct subpopulations.
Source: This study assessed omega-3 fatty acid effects in terms of fish consumption and total omega-3 fatty acid consumption. Fish consumption was associated with a reduced risk of cognitive impairment but had no association with cognitive decline; omega-3 fatty acid consumption was not associated with either outcome.
Dose: Dose effect was not assessed for fish. A dose effect was observed for omega-3 fatty acid consumption and cognitive impairment on unadjusted analyses (p for trend = 0.9), but not on adjusted analyses. No dose effect was found with omega-3 fatty acid consumption and cognitive decline.
Exposure Duration: Effects of exposure duration were not assessed.
Sustainment of Effect. Sustainment of effect was not reported.
Quality and Applicability. Parameters of methodologic quality are as follows:
This study adjusted for confounders, had valid ascertainment of exposures and outcomes, ascertained that exposure occurred before outcome measurement, and described withdrawals and drop outs. It did not blind to exposure/outcome and did not describe selection bias.
This study had an applicability rating of II because the population sampled included only males. Thus, although this study represented a relevant sub-group of the target population, it was not representative of the entire target population because of its exclusive sampling of one gender.
| Author, Year | Type of dementia | Study arm (quartile, quintile or dose group) | Total n | No. of Cases | Amount by category | Estimates of effect | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Cohort | Age adjusted RR (95% CI) | Multivariable adjusted RR (95% CI) | Multivariable Adjustors | |||||||
| FISH | ||||||||||
| Barberger-Gateau, 200221 | Dementia | 1 | NR | NR | NR | 1.0 | 1.0 | Age, sex, education | ||
| PAQUID (Personnes Agées QUID) Study | 2 | 1122 | 124 | At least once a week | 0.66† | (0.47–0.93) | 0.73† | (0.52–1.03) | ||
| Alzheimer's disease | 1 | NR | NR | NR | 1.0 | NR | ||||
| 2 | 1122 | 99 | At least once a week | 0.69† | (0.47–1.01) | NR | ||||
| Total 1122 | 223 | |||||||||
| Kalmijn, 199767 | Total dementia | 1 | 1807 | 58 | ≤ 3 g/day | NR | 1.0 | Age, sex, education, total energy intake. | ||
| Rotterdam Study | 2 | 1773 | 58 | 3.0–18.5 g/day | NR | 0.8 | (0.4–1.4) | |||
| 3 | 1806 | 58 | > 18.5 g/day | NR | 0.4 | (0.2–0.9) | ||||
| 58 | p = 0.03‡ | |||||||||
| Alzheimer's disease without vascular component | 1 | 1807 | 37 | ≤ 3 g/day | NR | 1.0 | ||||
| 2 | 1773 | 37 | 3.0–18.5 g/day | NR | 0.9 | (0.4–1.8) | ||||
| 3 | 1806 | 37 | > 18.5 g/day | NR | 0.3 | (0.1–0.9) | ||||
| 37 | p = 0.005‡ | |||||||||
| Dementia with a vascular component | 1 | 1807 | 12 | ≤ 3 g/day | NR | 1.0 | ||||
| 2 | 1773 | 12 | 3.0–18.5 g/day | NR | 0.6 | (0.2–2.5) | ||||
| 3 | 1806 | 12 | > 18.5 g/day | NR | 0.7 | (0.2–2.8) | ||||
| Total 5386 | 12 | p = 0.39‡ | ||||||||
| Morris, 200323 | Alzheimer's disease | 1 | 121 | 32 | never | 1.0 | 1.0 | Age, sex, race, education, vitamin E intake, other fat intake, cardiovascular disease, APO-ε 4 status. | ||
| Chicago Health and Aging Project | 2 | 250 | 39 | 1–3 servings/ month | 0.7 | (0.3–1.6) | 0.6 | (0.3–1.3) | ||
| 3 | 296 | 43 | 1 serving/ week | 0.5 | (0.2–1.0) | 0.4 | (0.2–0.9) | |||
| 4 | 148 | 26 | ≥ 2 servings/week | 0.6 | (0.2–0.9) | 0.4 | (0.2–0.9) | |||
| Total 815 | 140 | p = 0.18‡ | p = 0.07‡ | |||||||
| Omega-3 fatty acids | ||||||||||
| Morris, 200323 | Alzheimer's disease | 1 | NR | 32 | 0.9 g/day | 1.0 | 1.0 | Age, sex, race, education, vitamin E intake, other fat intake, cardiovascular disease, APO-ε 4 status. | ||
| Chicago Health and Aging Project | 2 | NR | 30 | 1.13 g/day | 1.1 | (0.4–2.9) | 1.2 | (0.5–3.0) | ||
| 3 | NR | 22 | 1.30 g/day | 0.5 | (0.2–1.4) | 0.6 | (0.2–1.7) | |||
| 4 | NR | 24 | 1.49 g/day | 0.6 | (0.2–1.5) | 0.7 | (0.3–1.6) | |||
| 5 | NR | 23 | 1.75 g/day | 0.3 | (0.1–0.7) | 0.4 | (0.1–0.9) | |||
| Total 815 | 131 | p = 0.01‡ | p = 0.01‡ | |||||||
| ALA | ||||||||||
| Morris, 200323 | Alzheimer's disease | 1 | NR | 26 | 0.72 g/day | 1.0 | 1.0 | Age, sex, race, education, vitamin E intake, other fat intake, cardiovascular disease, APO-ε 4 status. | ||
| Chicago Health and Aging Project | 2 | NR | 33 | 0.92g/day | 1.7 | (0.7–3.8) | 1.8 | (0.8–3.8) | ||
| 3 | NR | 24 | 1.06g/day | 0.8 | (0.4–1.9) | 0.8 | (0.4–2.0) | |||
| 4 | NR | 25 | 1.23g/day | 0.8 | (0.4–1.7) | 0.9 | (0.4–2.0) | |||
| 5 | NR | 23 | 1.46g/day | 0.5 | (0.2–1.1) | 0.7 | (0.3–1.6) | |||
| Total 815 | 131 | p = 0.01‡ | p = 0.10‡ | |||||||
| DHA | ||||||||||
| Morris, 2003 23 | Alzheimer's disease | 1 | NR | 28 | 0.03 g/day | 1.0 | 1.0 | Age, sex, race, education, vitamin E intake, other fat intake, cardiovascular disease, APO-ε 4 status. | ||
| Chicago Health and Aging Project | 2 | NR | 45 | 0.05 g/day | 0.8 | (0.3–2.1) | 0.8 | (0.3–2.1) | ||
| 3 | NR | 14 | 0.06 g/day | 0.4 | (0.1–1.1) | 0.4 | (0.1–1.0) | |||
| 4 | NR | 19 | 0.07 g/day | 0.3 | (0.1–0.9) | 0.2 | (0.1–0.8) | |||
| 5 | NR | 25 | 0.10 g/day | 0.4 | (0.2–1.1) | 0.3 | (0.1–0.9) | |||
| Total 815 | 131 | p = 0.05‡ | p = 0.02‡ | |||||||
| EPA | ||||||||||
| Morris, 2003 23 | Alzheimer's disease | 1 | NR | 55 | 0.0 g/day | 1.0 | 1.0 | Age, sex, race, education, vitamin E intake, other fat intake, cardiovascular disease, APO-ε 4 status. | ||
| Chicago Health and Aging Project | 2 | NR | NR§ | 0.0 g/day | NR§ | NR§ | NR§ | NR§ | ||
| 3 | NR | 35 | 0.01 g/day | 1.0 | (0.4–2.4) | 1.1 | (0.4–2.8) | |||
| 4 | NR | 14 | 0.02 g/day | 0.5 | (0.2–1.2) | 0.5 | (0.2–1.2) | |||
| 5 | NR | 27 | 0.03 g/day | 0.9 | (0.4–2.1) | 0.9 | (0.4–2.3) | |||
| Total 815 | 131 | p = 0.40‡ | p = 0.40‡ | |||||||
NR = not reported, g = grams;
† hazard ratio;
‡ age and sex adjusted; test for trend;
§ Authors report that 40% of participants had 0 g/day of intake.
Sub-populations. One study assessed whether gender modified the effect of total omega-3 fatty acid consumption or consumption of fish, ALA, EPA, or DHA.23 Total intake of omega-3 fatty acids was protective in females only (p for interaction= 0.02); gender did not modify the effect of fish, ALA, EPA, or DHA.
Covariates. Two of the studies23, 67 assessed the influence of covariates on the effect of omega-3 FA on incidence of dementia.
In one study,23 the multivariable relative risks for intakes of total omega-3 fatty acids, DHA, and EPA did not change when adjusted for vitamin E intake, other fat intake, and cardiovascular disease. In the same study, multivariable risks for intake of ALA were reported as approximately 1.0 with adjustment for vitamin E but not affected by adjustment for cardiovascular disease; intake of ALA was strongly protective among people with the APO-E-4 genotype (RR = 0.08 per natural log {milligram} increase in ALA, p = 0.02).
In the other study,67 estimates of relative risk did not change with adjustment for cigarette smoking, alcohol consumption, fiber consumption, antioxidant intake, stroke, myocardial infarction, or serum total and high-density lipoprotein cholesterol.
Source: Fish consumption was associated with a significantly reduced risk of dementia in three of the studies.21 In the one study that assessed the effect of total omega-3 fat consumption, ALA, DHA, and EPA on the incidence of dementia, total omega-3 and DHA were associated with significant reduced risk in multivariable analyses; ALA and EPA were not.
Exposure Duration: None of the studies addressed exposure duration.
Sustainment of effect. Sustainment of effect was not assessed in any of the studies.
Quality and applicability. Among these three studies, all adjusted for confounders, reported using valid methods to ascertain outcomes, and confirmed that the exposure occurred prior to the outcome.
One study did not describe a valid method to ascertain dietary intake21 (method used was not described). One of the studies explicitly described whether the investigators were blinded to information on exposure when obtaining data on outcome or on outcome when obtaining data on exposure.23, 34, 61
Of the three studies, two23, 67 had an applicability rating of I (applicable to the general target population of adults). One study received an applicability rating of II because it was performed in France.21
| Author, Year | Results | ||||
|---|---|---|---|---|---|
| Terano, 199424 | Total n | Before | After 3 months | After 6 months | After 12 months |
| Mean scores of HDS-R | |||||
| Standard nursing home diet | 10 | 16.3 | 16.7 | 16.7 | 15.3 |
| Standard nursing home diet PLUS DHA 4.3 grams/day | 10 | 17.2 | 20.6† | 19.9† | 20.2 |
| Mean scores of MMSE | |||||
| Standard nursing home diet | 10 | 19.7 | 19.4 | 19.6† | 19.1 |
| Standard nursing home diet PLUS DHA 4.3 grams/day | 10 | 20.1 | 21.3 | 22.2 | 21.9 |
HDS-R = Hasegawa's Dementia rating scale;
MMSE = Mini Mental Status Exam;
† p < 0.05 for comparisons between groups with paired t-test.
Sub-populations. The study did not evaluate the differential effects of omega-3 FA on distinct subpopulations.
Covariates. The study did not evaluate covariates.
Source: The source assessed was DHA.
Dose: A single dose of 4.3 g of DHA was administered; dose effect was not assessed.
Exposure Duration: The duration of exposure was 12 months. Significant differences between study groups were observed after 3 months and after 6 months, but not after 12 months.
Sustainment of effect. Sustainment of effect was not assessed in either report.
| Methodologic Quality | ||||
|---|---|---|---|---|
| Applicability | A | B | C | |
| I | ||||
| II | Terano24 | |||
| III | ||||
| Disease | Author, Year | Study arm (quartile; quintile; dose group; case or control) | n† | Amount | Estimates of effect | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Study Design | Multivariable adjusted RR (95% CI) | Multivariable Adjustors, | ||||||||
| Matching parameters | ||||||||||
| Fish | ||||||||||
| Multiple sclerosis | Zhang, 200061 | Dose Groups | Multivariable adjustors: Age, smoking (cigarettes/day), energy intake (quintiles), alcohol consumption | |||||||
| Cohort Study: The Nurses' Health Study I and II | 1 | 81 | < 1/week | 1.0 | Matching: NA | |||||
| 2 | 77 | 1–2.9/week | 1.0 | (0.8–1.4) | ||||||
| 3 | 37 | 3–4.9/week | 0.9 | (0.6–1.3) | ||||||
| p = 0.79‡ | ||||||||||
| Multiple sclerosis | Ghadirian, 1998,43 | Men | Control | 64 | - | 1.0 | Multivariable adjustors: Total energy, body mass index | |||
| Case control study | Case | 61 | - | 1.08§ | (0.84–1.40) | Matching: Age, sex, phone number | ||||
| Women | Control | 138 | - | 1.0 | ||||||
| Case | 136 | - | 0.83§ | (0.69–1.00) | ||||||
| All | Control | 202 | - | 1.0 | ||||||
| Case | 197 | - | 0.91§ | (0.78–1.05) | ||||||
| Cerebral palsy | Petridou, 1998,60 | Control | 166 | 1/week | 1.0 | Multivariable adjustors: ‘Core’ variables|| plus total energy intake, body mass index | ||||
| Case control study | Case | 58 | 1/week | 0.63 | (0.37–1.08) | Matching: Age, neighborhood or age, physician | ||||
| Omega-3 fat from fish | ||||||||||
| Parkinson's Disease | Chen, 200334 | Men | Quintiles | Multivariable adjustors: Age, smoking (cigarettes/day), energy intake (quintiles), alcohol consumption | ||||||
| Cohort Study: Health Professional Follow-up Study and The Nurses' Health Study | 1 | NR | 0.03 % of energy | 1.0 | Matching: NA | |||||
| 2 | NR | 0.07% of energy | 0.84 | (0.52–1.37) | ||||||
| 3 | NR | 0.1% of energy | 1.08 | (0.69–1.69) | ||||||
| 4 | NR | 0.2% of energy | 0.88 | (0.55–1.40) | ||||||
| 5 | NR | 0.3 % of energy | 0.99 | (0.63–1.55) | ||||||
| Total 47,331 | p = 0.9‡ | |||||||||
| Women | Quintiles | |||||||||
| 1 | NR | 0.03 % of | 1.0 | |||||||
| 2 | NR | 0.05 % of energy | 0.70 | (0.41–1.19) | ||||||
| 3 | NR | 0.08 % of energy | 0.76 | (0.45–1.29) | ||||||
| 4 | NR | 0.1% of energy | 0.75 | (0.45–1.26) | ||||||
| 5 | NR | 0.2 % of energy | 0.90 | (0.55–1.47) | ||||||
| Total 88,653 | p = 0.9‡ | |||||||||
| Pooled men and women | Quintiles | |||||||||
| 1 | NR | NR | 1.0 | |||||||
| 2 | NR | NR | 0.77 | (0.54–1.11) | ||||||
| 3 | NR | NR | 0.93 | (0.66–1.31) | ||||||
| 4 | NR | NR | 0.82 | (0.58–1.16) | ||||||
| 5 | NR | NR | 0.94 | (0.68–1.32) | ||||||
| Total 135,894 | p = 0.9‡ | |||||||||
| ALA | ||||||||||
| Multiple Sclerosis | Zhang, 200061 | Groups | Multivariable adjustors: Age, smoking (cigarettes/day), energy intake (quintiles), alcohol consumption | |||||||
| Cohort Study: The Nurses' Health Study I and II | 1 | NR | < 1% of energy | 1.0 | Matching: NA | |||||
| 2 | NR | ≥ 1% of energy | 0.3 | (0.1–1.1) | ||||||
| Parkinson's Disease | Chen, 200334 | Men | Quintiles | Multivariable adjustors: Age, smoking (cigarettes/day), energy intake (quintiles), alcohol consumption | ||||||
| Cohort Study: Health Professional Follow-up Study and The Nurses' Health Study | 1 | NR | 0.05 % of energy | 1.0 | Matching: NA | |||||
| 2 | NR | 0.06% of energy | 0.54 | (0.34–0.87) | ||||||
| 3 | NR | 0.08% of energy | 0.75 | (0.49–1.15) | ||||||
| 4 | NR | 0.09% of energy | 0.88 | (0.58–1.32) | ||||||
| 5 | NR | 0.1 % of energy | 0.69 | (0.45–1.07) | ||||||
| Total 47,331 | p = 0.4‡ | |||||||||
| Women | Quintiles | |||||||||
| 1 | NR | 0.04 % of energy | 1.0 | |||||||
| 2 | NR | 0.06 % of energy | 0.83 | (0.51–1.34) | ||||||
| 3 | NR | 0.07 % of energy | 0.71 | (0.43–1.17) | ||||||
| 4 | NR | 0.09% of energy | 0.68 | (0.41–1.13) | ||||||
| 5 | NR | 0.1 % of energy | 0.60 | (0.35–1.01) | ||||||
| Total 88,563 | p = 0.04‡ | |||||||||
| Pooled men and women | Quintiles | |||||||||
| 1 | NR | NR | 1.0 | |||||||
| 2 | NR | NR | 0.67 | (0.47–0.93) | ||||||
| 3 | NR | NR | 0.73 | (0.53–1.01) | ||||||
| 4 | NR | NR | 0.79 | (0.57–1.09) | ||||||
| 5 | NR | NR | 0.65 | (0.46–0.91) | ||||||
| Total 135,894 | p = 0.05‡ | |||||||||
| EPA | ||||||||||
| Parkinson's Disease | Chen, 200334 | Men | Quintiles | |||||||
| Cohort Study: Health Professional Follow-up Study and The Nurses' Health Study | 1 | NR | 0.009 % of energy | 1.0 | Multivariable adjustors: Age, smoking (cigarettes/day), energy intake (quintiles), alcohol consumption | |||||
| 2 | NR | 0.02 % of energy | 0.77 | (0.48–1.25) | ||||||
| 3 | NR | 0.04 % of energy | 0.88 | (0.56–1.39) | ||||||
| 4 | NR | 0.06 % of energy | 0.92 | (0.59–1.44) | ||||||
| 5 | NR | 0.1 % of energy | 0.91 | (0.59–1.42) | ||||||
| Total 47,331 | p = 0.9‡ | |||||||||
| Women | Quintiles | |||||||||
| 1 | NR | 0.007 % of energy | 1.0 | |||||||
| 2 | NR | 0.01 % of energy | 0.67 | (0.39–1.16) | ||||||
| 3 | NR | 0.02 % of energy | 0.80 | (0.48–1.34) | ||||||
| 4 | NR | 0.04 % of energy | 0.74 | (0.44–1.24) | ||||||
| 5 | NR | 0.07 % of energy | 0.91 | (0.56–1.49) | ||||||
| Total 88,563 | p = 0.8‡ | |||||||||
| Pooled men and women | Quintiles | |||||||||
| 1 | NR | NR | 1.0 | |||||||
| 2 | NR | NR | 0.73 | (0.51–1.04) | ||||||
| 3 | NR | NR | 0.84 | (0.60–1.19) | ||||||
| 4 | NR | NR | 0.84 | (0.60–1.18) | ||||||
| 5 | NR | NR | 0.91 | (0.66–1.27) | ||||||
| Total 135,894 | p = 0.9‡ | |||||||||
| DHA | ||||||||||
| Parkinson's Disease | Chen, 200334 | Men | Quintiles | Multivariable adjustors: Age, smoking (cigarettes/day), energy intake (quintiles), alcohol consumption | ||||||
| Cohort Study: Health Professional Follow-up Study and The Nurses' Health Study | 1 | NR | 0.02 % of energy | 1 | ||||||
| 2 | NR | 0.05 % of energy | 0.79 | (0.49–1.28) | ||||||
| 3 | NR | 0.07 % of energy | 1.05 | (0.67–1.64) | ||||||
| 4 | NR | 0.1 % of energy | 0.90 | (0.57–1.42) | ||||||
| 5 | NR | 0.2 % of energy | 0.92 | (0.58–1.44) | ||||||
| Total 47,331 | p = 0.9‡ | |||||||||
| Women | Quintiles | |||||||||
| 1 | NR | 0.02 % of energy | 1 | |||||||
| 2 | NR | 0.04 % of energy | 0.62 | (0.36–1.07) | ||||||
| 3 | NR | 0.06 % of energy | 0.65 | (0.38–1.09) | ||||||
| 4 | NR | 0.08 % of energy | 0.81 | (0.49–1.32) | ||||||
| 5 | NR | 0.1 % of energy | 0.76 | (0.46–1.26) | ||||||
| Total 88,563 | p = 0.8‡ | |||||||||
| Pooled men and women | Quintiles | |||||||||
| 1 | NR | NR | 1 | |||||||
| 2 | NR | NR | 0.71 | (0.49–1.02) | ||||||
| 3 | NR | NR | 0.86 | (0.61–1.21) | ||||||
| 4 | NR | NR | 0.86 | (0.61–1.20) | ||||||
| 5 | NR | NR | 0.84 | (0.60–1.18) | ||||||
| Total 135,894 | p = 0.8‡ | |||||||||
NR = Not Reported;
† Number of people included in analysis;
‡ test for trend.
|| Core variables = Age of child, sex, maternal age at menarche, maternal age at delivery, maternal chronic disease, previous spontaneous abortion, persistent vomiting during index pregnancy, multiple pregnancy, number of obstetric visits, timing of membrane rupture, use of general anesthesia, mode of delivery, abnormal placenta, head circumference, evident congenital malformation, place of deliver, use of iron during pregnancy, intentional physical exercise during pregnancy, painless delivery classes;
§ Risk of MS per 100 grams of fish per day (log transformation).
In a pooled analysis of men and women across two cohorts, ALA was associated with a reduced risk of developing Parkinson's disease (RR = 0.65, 95% CI 0.46, 0.91 for comparison of highest to lowest quintiles of risk). Among women, there was a significant trend but no significant risk reduction for any individual quintile of consumption. This finding is particularly noteworthy given the statistical power of the Health Professionals Follow-up Study and the Nurses' Health Study and the longitudinal analysis of dietary intake in these studies.
One study60 evaluated the effects of maternal dietary intake on the risk of cerebral palsy in offspring in a case-control study of 91 cases of cerebral palsy identified from statistics of hospitals and rehabilitation centers in Greece and 246 neighborhood controls. Mothers of cases and controls were interviewed about their dietary habits during pregnancy using a food-frequency questionnaire. Consumption of fish once a week throughout pregnancy was associated with a lower risk of cerebral palsy (OR= 0.63, 95% C.I. 0.37–1.08; p < 0.09) compared with no fish intake.
Sub-populations. Two studies34, 43 stratified the effects of omega-3 FA by gender. The study that investigated the relationship between dietary intake of fat and Parkinson's disease found no apparent association between omega-3 FA intake and risk of Parkinson's disease for either males or females (p for trend = 0.9 for males and 0.8 for females).
Covariates. Effects of any specific covariates on the observed omega-3 associations were not reported in any of the studies.
Source: The effect of fish consumption on the incidence of two different neurological diseases was assessed in three different reports. Fish consumption was associated with a reduced risk of cerebral palsy;60 it had no overall effect on the incidence of MS in two studies,43, 61 but was associated with a reduced risk for women in one.43 Omega-3 FA from fish had no effect on the incidence of MS43 or Parkinson's disease.34 ALA was associated with a reduced risk of MS in one study61 and had no effect on the incidence of Parkinson's disease in another.34 EPA and DHA had no effect on the incidence of MS61 or Parkinson's disease.34
Dose: Dose effect was assessed in two studies.34, 61 One study34 assessed the effect of fish dose on the incidence of MS and found no dose (or other) effect. A dose effect for ALA on the incidence of MS was reported in one study,34 but no dose effect for ALA on the incidence of Parkinson's disease was found in the other study.61 There was no dose effect for EPA or DHA in either study.
Exposure Duration: None of the studies assessed the effect of exposure duration.
Sustainment of effect. Sustainment of effect was not assessed in any of the reports.
| Parameters | Chen, 200334 | Ghadirian, 199843 | Petridou, 199860 | Zhang, 200061 |
|---|---|---|---|---|
| Adjustment for confounders | Y | Y | Y | Y |
| Blinding of exposure/outcome | Y | Y | Y | Y |
| Valid ascertainment of outcome | Y | Y | Y | Y |
| Valid ascertainment of exposure | Y | Y | Y | Y |
| Exposure before outcome | Y | Y | Y | Y |
| Selection bias | N | N | Y | N |
| Description of withdrawals and dropouts | NR | Y | Y | Y |
NR = not reported.
| Author, Year | Treatment Group | Disability, number (%)of patients | Mean relapse rates | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bates, 198940 | Overall | Kurtzke ≤ 2 | Duration ≤ 5 years | Kurtzke ≤ 2 | Kurtzke > 2 | ||||||
| Better/same | Worse | Better/same | Worse | Better/same | Worse | Better/same | Worse | Better/same | Worse | ||
| Max EPA 10 grams/day for 24 months | 79 (51) | 66 (43) | 50 (59) | 35 (41) | 30 (57) | 23 (43) | 0.44 | 0.15 | 0.55 | 0.05 | |
| Olive oil 10 grams/day for 24 months | 65 (42) | 82 (52) | 41 (46) | 49 (54) | 24 (42) | 33 (58) | 0.55 | 0.16 | 0.63 | 0.70 | |
No significant difference between groups for any comparisons.
| Author, Year | Intervention | Mean EDSS Scores* | Mean Progression Index | |||
|---|---|---|---|---|---|---|
| n, clinical diagnosis | Before | After | Before | After | ||
| Cendrowski, 198662 | MaxEPA (4.2 g/day EPA; 2.8 g/day DHA) | 5, acute remitting MS | 3.30 | 2.70 | 0.59 | 0.44† |
| Cendrowski, 198662 | MaxEPA (4.2 g/day EPA; 2.8 g/day DHA) | 7; slowly progressive MS | 6.92 | 7.07 | 0.35 | 0.36 |
| Nordvik, 200063 | Fish oil supplement (0.4 g/day EPA; 05 g/day DHA) | 16; MS | 2.16 | 1.63‡ | NA | NA |
NA = Not Applicable;
EDSS = Expanded Disability Status Scale;
† p < 0.05;
‡ = p = 0.005.
Sub-populations. The effects of omega-3 FA on subpopulations were not assessed.
Covariates. The effects of covariates on omega-3 FA effects were not assessed.
Source: The source of omega-3 FA was fish oil in one study63 and fish oil capsules in the other.62
Dose: A single dose was assessed in each study; hence, dose effect was not assessed.
Exposure Duration: The effect of exposure duration was not assessed.
Sustainment of effect. Sustainment of effect was not assessed.
| Methodologic Quality | ||||
|---|---|---|---|---|
| Applicability | A | B | C | |
| I | ||||
| II | Bates40 | |||
| III | ||||
We screened 5,868 titles, from which we reviewed 500 full-text articles. Among these, 62 articles met our inclusion criteria for further review. Fifty were rejected and 12 met our inclusion criteria and were reviewed further for data abstraction. Among these, two articles were randomized controlled trials, six articles were prospective cohort studies, two articles were case-controls, and two were one-arm open label trials.
Cognitive function in normal aging. In a single prospective cohort study59 that evaluated the effects of omega-3 fatty acid on cognitive function in normal aging, there was no significant association between omega-3 FA intake in the form of fish consumption and cognitive decline.
Treatment of dementia. One RCT24 assessed omega-3 fatty acids as a treatment for dementia. This study demonstrated statistically significant improvements on both Hasegawa's Dementia rating scale and the MMSE scores with omega-3 supplementation. However, the sample size was small and the methodologic quality was poor.
Incidence of neurological diseases. We identified four studies that assessed the association of omega-3 FA consumption with risk or incidence of particular neurological diseases other than dementia: two assessed the incidence of MS,43, 61 one assessed the risk of Parkinson's disease,34 and one assessed the risk of cerebral palsy.60 Overall, there was no significant association between omega-3 FA and the incidence of MS in either a study that pooled data across two cohort studies61 or in a case-control study.43 However, the case-control study did demonstrate a reduced risk of MS with fish consumption, but only among women. A single observational cohort study34 found that ALA was associated with a reduced risk of Parkinson's disease when comparing highest and lowest quintile of intake in a pooled analysis of men and women; among women, but not men, there was a trend for risk reduction. There was no significant association between dietary intake of other omega-3 FAs and Parkinson's disease. A single case-control study60 found a reduced risk of cerebral palsy in offspring of women who consumed fish at least once a week throughout pregnancy, relative to women who did not.
Progression of multiple sclerosis. We identified one RCT40 and two single arm, open-label clinical trials62, 63 that assessed the effect of omega-3 fatty acids on the progression of MS.63–66 There were no significant differences in disability or relapse rates between the treatment and placebo groups in the RCT.40 The one-arm open label trials both reported a significant reduction on the Expanded Disability Status Scale (EDSS) after treatment with the omega-3 supplement; one also reported improvement on an index of disease progression.62
Dose, source, duration effects and sustainment of effect. Data were insufficient to draw conclusions about source or duration effects or about sustainment of effect.
Quality and applicability. The quality of the clinical trials was generally poor. Among the two RCTs that met our inclusion criteria, one33 was of good quality with an overall summary quality of B (Jadad score 3, no concealment of allocation), and the other24 was of poor quality with an overall summary quality of C (Jadad score1, no concealment of allocation). The two open-label one-arm trials62, 63 were both of poor methodologic quality: there was no comparison group or blinding; additionally there was no description of withdrawals or dropouts. The applicability ratings for all four of these clinical trials were II, meaning that the study populations were representative of a subgroup of the general population; these subjects had either MS or dementia.
The quality of the eight observational studies was generally good. Among these six prospective observational cohort and two case-control studies, all eight adjusted for confounders, reported using valid methods to ascertain outcomes, and confirmed that the exposure occurred prior to the outcome. The methods used to enroll subjects in one study would be expected to introduce selection bias.60 All but one study described withdrawals and dropouts34 or a valid method to ascertain dietary intake21 (method used was not described). Only three of the studies explicitly described whether the investigators were blinded to information on exposure when obtaining data on outcome or on outcome when obtaining data on exposure.23, 34, 61 For the two case-control studies, we also assessed whether the case and control groups were comparable, and they were in both studies.43, 60 The applicability ratings were I (representative of the US population) for one study23 and II for all other studies. The studies with applicability ratings of II either had subjects that were part of a subpopulation34, 43, 60, 61 and/ or were population-based, but the populations were not from the United States.21, 59, 67
It is important to point out that a major limitation of studies of omega-3 FA and disease is the lack of standardized methods to measure nutrient intakes.68 Thus, it is possible to overestimate or underestimate true associations with outcomes, because of errors in measurement of nutrients.
Furthermore, the studies we reviewed lacked a uniform or consistent approach to quantifying the type of omega-3 FA. For example, some measured nutrient intake from food frequency questionnaires without reporting type of fish or method of preparation; other studies defined omega-3 fatty acid supplements. This issue will increasingly become important in the design of future studies of omega-3 fatty acids and disease.
Another major limitation with respect to studies relating omega-3 FA interventions to dementia, particularly Alzheimer's disease, is that the majority of studies have been done in subjects aged 60 and older. Since the length of the latency period for AD is unknown and may precede the presentation of any symptoms by several decades, the potential effect of implementing dietary interventions aimed at prevention at an advanced age may be limited. Furthermore, in studies that assessed the effects of omega-3 fatty acids on cognitive function in normal aging or dementia, standard measures often are not used or the instruments used to assess cognitive function lack uniformity.
It is also important to note that in observational studies, it is not possible to control exposure,69 which can lead to confounding.70
An additional limitation is the possibility of publication bias. For large observational studies, this issue is slightly different than that observed for randomized trials. Publication bias for the latter generally means that no results of the trial are published at all. For the former, which are the main source of evidence for this report, findings may be published, but only for outcomes that achieve statistical significance, with no regard for whether such outcomes were secondary in nature. Results for primary outcomes may not be published. We must interpret our findings in light of such possible publication bias.
It is possible that additional information that would change our conclusions is available in reports that we were unable to locate or for which we were unable to find a translator. However, among 505 requested articles, only five were not found, and we were able to screen all 500 articles retrieved.
For each of the conditions assessed in this report, conclusions can be drawn from a few studies on the effects of Omega-3 FA. Additionally, the strength of evidence for effects of omega-3 FA on outcomes in the conditions assessed varies greatly. The evidence suggests a possible association between omega- 3 FA and reduced risk of dementia. However, due to the small number of studies that inform this topic, further research is necessary before a strong conclusion can be drawn. Data are insufficient to draw conclusions about the effects of omega-3 FA on incidence of Parkinson's disease, cerebral palsy, or MS. In addition, the evidence regarding the progression of MS is inconsistent and inconclusive. There was insufficient evidence in the studies that met our systematic inclusion criteria to draw any substantive conclusions on omega-3 fatty acid intake. The paucity of evidence in this area suggests that further epidemiological and clinical research remains to be done before any conclusions can be drawn or policy recommendations can be made in this area.
We offer the following observations and recommendations regarding future research on the effects of omega-3 FA on the various neurological conditions reviewed.
Additional research on the effects of omega-3 FA needs to be performed on all of the conditions reviewed in this report before recommendations regarding the use of omega-3 FA can be made for these conditions.
Of particular importance, properly designed randomized clinical trials that are sufficiently powered and of an adequate length (e.g. three to five years of follow-up) need to be conducted for dementia, especially Alzheimer's disease, as distinct from vascular dementia.
Given the concern described above regarding the possible difficulty of conducting valid studies on dementia, due to a lengthy presymptomatic latency period, it would be of interest to conduct intervention clinical trials of omega-3 fatty acids in middle-aged adults as well as in populations of cognitively-impaired adults prior to a dementia diagnosis, such as individuals with various sub-types of mild cognitive impairment (MCI).
Properly designed randomized clinical trials that are sufficiently powered and of an adequate length (e.g. three to five years of follow-up) need to be conducted for multiple sclerosis.
Studies should address the effects of different types of omega-3 fatty acids (i.e. DHA, EPA, ALA, and total omega-3 FA) as well as the ratio of omega-3 to omega-6 FA.
Studies that assess the effects of omega-3 FA should be designed to evaluate the effect of source, dose, treatment duration, and the sustainment of effect after discontinuation of omega-3 FA consumption.
Trials of omega-3 FA should include a baseline assessment of dietary omega-3 and omega-6 FA intake.
In controlled trials that assess the effects of omega-3 FA, analysis should include and report explicit testing of the effects of the omega-3 FA relative to the control substance.
All studies that assess the effects of omega-3 FA should use standard validated instruments to assess clinical outcomes.
Studies that investigate the effects of omega-3 FA on cognition should include repeated measures of cognitive function using standard validated instruments to evaluate within-person cognitive change.
All studies that assess the effects of omega-3 FA should use standard validated dietary assessment instruments to assess nutritional intake.
Observational studies should report data about type of fish consumed and method of preparation.
Observational studies focused on repeated measures of diet for long-term intake, and sub-group analysis among persons with cardiovascular conditions (including history of stroke or myocardial infarction) also need to be performed in order to determine whether change in diet among these sub-groups results is confounding.
| AA | Arachidonic acid | Mo | Month |
| Ab | Antibody | MS | Multiple sclerosis |
| AHRQ | Agency for Healthcare Research and Quality | n | Number |
| AI | Adequate intake | n-3 | Omega-3 |
| ALA | Alpha-linolenic acid | n-6 | Omega-6 |
| AMDR | Acceptable macronutrient distribution ranges | NA | Not applicable |
| ANCOVA | Analysis of covariance | NHANES III | The Third National Health and Nutrition Examination |
| ANOVA | Analysis of variance | NCI | National Cancer Institute |
| Ca | Calcium | NEI | National Eye Institute |
| CCT | Controlled clinical trial | NEMC | New England Medical Center |
| CI | Confidence interval | NHANES | National Health and Nutrition Examination |
| CP | Cerebral palsy | NHLBI | National Heart, Lung and Blood Institute |
| CRP | C-reactive protein | NIAAA | National Institute of Alcohol Abuse and Alcoholism |
| CSFII | Continuing Food Survey of Intakes by Individuals | NIAID | National Institute of Allergy and Infectious Diseases |
| d | day | NIAMS | National Institute of Arthritis and Musculoskeletal and Skin Diseases |
| D6D | Delta-6 Desaturase | NICHD | National Institute of Child Health and Human Development |
| DGLA | Dihomo-gamma-linolenic acid | NIDDK | National Institute of Diabetes and Digestive and Kidney Diseases |
| DHA | Docosahexaenoic acid | NIH | National Institutes of Health |
| DPA | Docosapentaenoic acid | NINCDS Criteria | National Institute of Neurological and Communicative Disorders and Alzheimer's Disease and Related Disorders Criteria |
| DRI | Dietary Reference Intake | NNH | Number needed to harm |
| Ds-DNA | Double-stranded DNA | NR | Not reported |
| EDSS | Expanded Disability Status Scale | ODS | Office of Dietary Supplements |
| EF | Effect size | PG | Prostaglandin |
| EFA | Essential fatty acid | PGD | Prostaglandin-D |
| EPA | Eicosapentaenoic acid | PGE | Prostaglandin-E |
| EPC | Evidence-Based Practice Center | PGF | Prostaglandin-F |
| ESR | Erythrocyte sedimentation rate | PGL | Prostaglandin-L |
| FNB | Food and Nutrition Board | PGH | Prostaglandin-H |
| FFQ | Food Frequency Questionnaire | PUFA | Polyunsaturated fatty acid |
| g | Grams | QRF | Quality review form |
| GLA | Gamma-linolenic acid | RCT | Randomized controlled trial |
| HDL | High density lipoprotein | RDA | Recommended daily allowances |
| RXT | Randomized crossover trial | ||
| IL-1β | Interleukin 1β | Sd | Standard deviation |
| IOM | Institute of Medicine | SCEPC | Southern California Evidence-Based Practice Center |
| LA | Linoleic acid | SEM | Standard errors of the means |
| LC PUFA | Long-chain polyunsaturated fatty acid | TEP | Technical expert panel |
| LDL | Low density lipoprotein | TNF-a | Tumor necrosis factor-a |
| MA | Metaanalysis | TX | Treatment |
| MANOVA | Multivariable analysis of variance | TXA | Thromboxane-A |
| MeSH Term | Medical Subject Headings Term | UCLA | University of California, Los Angeles |
| mg/dl | Milligrams per deciliter | VLCFA | Very long chain fatty acid |
| min | Minutes | VLN-3FA | Very long chain n-3 fatty acids |
| Wk | Week | ||
| GENERAL QUESTIONS: Questions posed for all three participating EPCs, for years 1 and 2. |
| 1. What is the evidence that variable clinical effects may reflect differences in: |
• Serving size (fish vs. dietary supplement); |
• Source (fish, food, plant) vs. dietary supplement (fish oil, plant oil); |
• Specific type(s) of omega-3 fatty acids (docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and alpha-linolenic acid (ALA), fish, fish oil), or the ratio of omega-6/omega-3 fatty acids used; |
• Manufacturer (different purity, presence of other potentially active agents)? |
| 2. What is the evidence for adverse events, side effects, or counter-indications associated with omega-3 fatty acids (DHA, EPA, DPA, ALA, fish oil, fish)? |
| 3. What is the evidence that omega-3 fatty acids are associated with adverse events in specific subpopulations such as diabetics? |
| 4. What are the mean and median intakes of DHA, EPA, DPA, ALA, fish, fish oil, omega-6, omega-6/omega-3 ratio in the US population? |
| 5. What is the evidence that omega-3 fatty acids influence overall energy balance? |
| 6. What is the evidence that accurate interpretation of the results of clinical studies is dependent on knowing the absolute fatty acid content of the baseline data, the relative fatty acid content of the baseline diet, or the tissue ratios of fatty acids (omega-6/omega-3) during the investigative period? |
| DISEASE-SPECIFIC QUESTIONS: questions posed to the SCEPC for Year 2 of the project: |
| Neurology: |
| 1. What is the evidence that omega-3 fatty acids play a role in maintaining cognitive function with aging? |
| 2. What is the evidence that the level of brain or retinal DHA levels affect the incidence of neurological diseases? |
| Neurology | ||
|---|---|---|
| Name | Area of Expertise | Institution |
| Alberto Ascherio, M.D., M.P.H., Dr. P.H. | Neurology | Harvard Medical School |
| Julie Conquer, M.S., Ph.D. | Neurological Disorders/Nutrition | University of Guelph |
| William S. Harris, PhD | Omega-3 Fatty Acids | University of Missouri-Kansas City School of Medicine |
| Irwin Rosenberg, M.D. | Nutrition/Aging | Tufts University |
| Paul Sheehy, Ph.D. | Neurology | National Institute of Neurological Disorders and Stroke |
| Molly Wagster, Ph.D. | Neurology/Aging | Neuroscience and Neuropsychology of Aging Program |
| Neurology |
| 1. What is the evidence that omega-3 fatty acids play a role in maintaining cognitive function with aging? |
| • This question pertains to 1) both maintenance and gains in cognitive functioning with normal aging, and 2) the prevention of dementia.. |
| • The literature primarily includes studies on Alzheimers' disease, but other forms of dementia are also of interest. |
| • Normative data should be used to measure cognitive function. |
| • Focus on domains of cognitive function rather than specific tests. Domains of function include 1) general memory, 2) working memory, and 3) executive function. |
| • Part B of the Trail Making Test and praxis components of the ADAS-Cog are scales that can be used to define normal cognitive function. |
| • The following instruments can be used to screen for or assess cognitive function in dementia: the Folstein Mini Mental Status Exam, the Alzheimer's Disease Assessment Scale, the Modified Mini-Mental State Examination, and the Telephone Interview of Cognitive Status. |
| • Look at cognitive domains that are likely to change with aging: executive function, concentration, perceptual/motor processing, verbal learning and memory, verbal and spatial working memory and semantic memory. |
| • There is no single answer regarding the time frame within which an improvement or decline in cognitive function would occur. Most studies range from 6 months to 1–2 years. To determine the impact of a treatment, you would need to look at the impact over a period of years. |
| • To determine an effect over time, it may be necessary to look at large observational studies. |
| • There is more likely to be data on decline over time than on improvement. |
| • For mild cognitive impairment where there is a significant problem with memory only, look for a change in the conversion rate and at historical cohort studies. |
| • Look at whether omega-3 fatty acids are both preventing and staving the course of dementia. |
| • A new set of measurements was published two years ago to assess the rate of change. Do not restrict to these criteria, however, since all of the data should be examined. |
| • The minimum age limit to assess cognitive function with aging should be 50 years. Other neurological diseases have earlier onset so the age limit should be 45 years for those diseases. |
| 2. What is the evidence that the level of brain or retinal DHA levels affect the incidence of neurological diseases? |
| • Do not restrict the review to studies that assess brain or retinal levels of DHA. |
| • Look at brain levels separate from blood levels |
| • This question is marginal compared to Question #1 and could be limited. |
| • The mechanisms that affect DHA levels are unknown. |
| • It would be helpful to have data on blood levels to show the link between dietary intake of omega-3 fatty acids and blood levels. |
| • If a study doesn't report blood levels, it should not be included. |
| • The accuracy of dietary intake data is not as effective as blood levels, but dietary intake studies should not be excluded. |
| • It is critical to include information on studies that have negative results. |
| • For studies that compare supplements versus placebo, it is important to get information on dose effect. |
| • The evidence available for dementia is disproportionate to other neurological diseases. Other diseases to consider include Attention Deficit Disorder and non-verbal learning disabilities. |
| • This question is not necessarily restricted to adults. |
| • Focus on the effects of omega-3 fatty acids on disease incidence rather than on the effects of omega-3 fatty acids on prevalent disease, except for multiple sclerosis. For multiple sclerosis, the effects of omega-3 fatty acids is of interest. |
| • Revise the key questions as follows: |
ο What is the evidence that omega-3 fatty acids play a role in maintaining cognitive function in normal aging? |
ο What is the evidence that omega-3 fatty acids affect the incidence of dementia including Alzheimer's disease? |
ο What is the evidence that omega-3 fatty acids are effective in the treatment of dementia including Alzheimer's disease? |
ο What is the evidence that omega-3 fatty acids affect the incidence of neurological diseases? |
ο What is the evidence that omega-3 fatty acids prevent the progression of multiple sclerosis? |
| Name | Affiliation |
|---|---|
| Ian Newton | Roche Vitamins |
| Herb Woolf, PhD | BASF Corporation |
| Annette Dickinson | Council for Responsible Nutrition |
| 1. exp fatty acids, omega-3/ |
| 2. fatty acids, essential/ |
| 3. Dietary Fats, Unsaturated/ |
| 4. linolenic acids/ |
| 5. exp fish oils/ |
| 6. (n 3 fatty acid$ or omega 3).tw. |
| 7. docosahexa?noic.tw,hw,rw. |
| 8. eicosapenta?noic.tw,hw,rw. |
| 9. alpha linolenic.tw,hw,rw. |
| 10. (linolenate or cervonic or timnodonic).tw,hw,rw. |
| 11. menhaden oil$.tw,hw,rw. |
| 12. (mediterranean adj diet$).tw. |
| 13. ((flax or flaxseed or flax seed or linseed or rape seed or rapeseed or canola or soy or soybean or walnut or mustard seed) adj2 oil$).tw. |
| 14. (walnut$ or butternut$ or soybean$ or pumpkin seed$).tw. |
| 15. (fish adj2 oil$).tw. |
| 16. (cod liver oil$ or marine oil$ or marine fat$).tw. |
| 17. (salmon or mackerel or herring or tuna or halibut or seal or seaweed or anchov$).tw. |
| 18. (fish consumption or fish intake or (fish adj2 diet$)).tw. |
| 19. diet$ fatty acid$.tw. |
| 20. or/1–19 |
| 21. dietary fats/ |
| 22. (randomized controlled trial or clinical trial or controlled clinical trial or evaluation studies or multicenter study).pt. |
| 23. random$.tw. |
| 24. exp clinical trials/ or evaluation studies/ |
| 25. follow-up studies/ or prospective studies/ |
| 26. or/22–25 |
| 27. 21 and 26 |
| 28. (Ropufa or MaxEPA or Omacor or Efamed or ResQ or Epagis or Almarin or Coromega).tw. |
| 29. (omega 3 or n 3).mp. |
| 30. (polyunsaturated fat$ or pufa or dha or epa or long chain or longchain or lc$).mp. |
| 31. 29 and 30 |
| 32. 20 or 27 or 28 or 31 |
| Neurology |
|---|
| 1. exp fatty acids, omega-3/ |
| 2. fatty acids, essential/ |
| 3. Dietary Fats, Unsaturated/ |
| 4. linolenic acids/ |
| 5. exp fish oils/ |
| 6. (n 3 fatty acid$ or omega 3).tw. |
| 7. docosahexa?noic.tw,hw,rw. |
| 8. eicosapenta?noic.tw,hw,rw. |
| 9. alpha linolenic.tw,hw,rw. |
| 10. (linolenate or cervonic or timnodonic).tw,hw,rw. |
| 11. menhaden oil$.tw,hw,rw. |
| 12. (mediterranean adj diet$).tw. |
| 13. ((flax or flaxseed or flax seed or linseed or rape seed or rapeseed or canola or soy or soybean or walnut or mustard seed) adj2 oil$).tw. |
| 14. (walnut$ or butternut$ or soybean$ or pumpkin seed$).tw. |
| 15. (fish adj2 oil$).tw. |
| 16. (cod liver oil$ or marine oil$ or marine fat$).tw. |
| 17. (salmon or mackerel or herring or tuna or halibut or seal or seaweed or anchov$).tw. |
| 18. (fish consumption or fish intake or (fish adj2 diet$)).tw. |
| 19. diet$ fatty acid$.tw. |
| 20. or/1–19 |
| 21. dietary fats/ |
| 22. (randomized controlled trial or clinical trial or controlled clinical trial or evaluation studies or multicenter study).pt. |
| 23. random$.tw. |
| 24. exp clinical trials/ or evaluation studies/ |
| 25. follow-up studies/ or prospective studies/ |
| 26. or/22–25 |
| 27. 21 and 26 |
| 28. exp Aging/ |
| 29. Aged/ |
| 30. (aging or aged or geriatric$).tw. |
| 31. or/28–30 |
| 32. 27 and 31 |
| 33. limit 27 to “all aged <65 and over>” |
| 34. 32 or 33 |
| 35. exp Nervous System Diseases/ |
| 36. Alzheimer Disease/ |
| 37. exp Dementia/ |
| 38. parkinson disease/ or Parkinson disease, secondary/ |
| 39. parkinson disease/ or Parkinson disease, secondary/ |
| 40. exp Multiple Sclerosis/ |
| 41. exp Guillain-Barre Syndrome/ |
| 42. (alzheimer or parkinson or dementia or multiple sclerosis or guillain barre).tw. |
| 43. (neurological disease$ or neurological disorder$).tw. |
| 44. (neurological disease$ or neurological disorder$).tw. |
| 45. exp Optic Nerve Diseases/ |
| 46. (myopathy or neuropathy).tw. |
| 47. Cognition Disorders/ |
| 48. exp Cognition/ |
| 49. (cognition or cognitive).tw. |
| 50. or/35–49 |
| 51. 27 and 50 |
| 52. exp fatty acids, omega-3/ |
| 53. fatty acids, essential/ |
| 54. Dietary Fats, Unsaturated/ |
| 55. linolenic acids/ |
| 56. exp fish oils/ |
| 57. (n 3 fatty acid$ or omega 3).tw. |
| 58. docosahexa?noic.tw,hw,rw. |
| 59. eicosapenta?noic.tw,hw,rw. |
| 60. alpha linolenic.tw,hw,rw. |
| 61. (linolenate or cervonic or timnodonic).tw,hw,rw. |
| 62. menhaden oil$.tw,hw,rw. |
| 63. (mediterranean adj diet$).tw. |
| 64. ((flax or flaxseed or flax seed or linseed or rape seed or rapeseed or canola or soy or soybean or walnut or mustard seed) adj2 oil$).tw. |
| 65. (walnut$ or butternut$ or soybean$ or pumpkin seed$).tw. |
| 66. (fish adj2 oil$).tw. |
| 67. (cod liver oil$ or marine oil$ or marine fat$).tw. |
| 68. (salmon or mackerel or herring or tuna or halibut or seal or seaweed or anchov$).tw. |
| 69. (fish consumption or fish intake or (fish adj2 diet$)).tw. |
| 70. diet$ fatty acid$.tw. |
| 71. or/52–70 |
| 72. dietary fats/ |
| 73. (randomized controlled trial or clinical trial or controlled clinical trial or evaluation studies or multicenter study).pt. |
| 74. random$.tw. |
| 75. exp clinical trials/ or evaluation studies/ |
| 76. follow-up studies/ or prospective studies/ |
| 77. or/73–76 |
| 78. 72 and 77 |
| 79. (Ropufa or MaxEPA or Omacor or Efamed or ResQ or Epagis or Almarin or Coromega).tw. |
| 80. (omega 3 or n 3).mp. |
| 81. (polyunsaturated fat$ or pufa or dha or epa or long chain or longchain or lc$).mp. |
| 82. 80 and 81 |
| 83. 71 or 78 or 79 or 82 |
| 84. 83 and 50 |
| 85. 84 not 51 |
| 86. 83 and 31 |
| 87. 86 not 34 |
| 88. limit 87 to “all aged <65 and over>” |
| Assessed the effect of omega-3 fatty acids on neurology |
| Presented research on human subjects |
| Reported the results of randomized or controlled clinical trials or controlled clinical trials or case-control trials or case series or prospective cohort studies† |
| Exclusion criteria: cross-sectional studies, case reports |
Language was not a barrier to inclusion;
† We defined a randomized controlled trial (RCT) as one in which the participants were assigned to one of two (or more) study groups using a process of random allocation (e.g., random number generation, coin flips); we defined a controlled clinical trial (CCT) as one in which participants were either: (1) assigned to one of two (or more) study groups using a quasi-random allocation method (e.g., alternation, date of birth, patient identifier), or (2) possibly assigned to one of two (or more) study groups using a process of random or quasi-random allocation.
| Summary Score | Jadad Score | Concealment of Allocation |
|---|---|---|
| A | 5 | Performed |
| B | 5 | Not performed, or Not reported |
| 3 or 4 | Performed, Not performed, or Not reported | |
| 0,1, or 2 | Performed | |
| C | 0, 1, or 2 | Not performed or not reported |
| Applicability | Health state | |
|---|---|---|
| I | Sample is representative of the U.S. population. | A General population. Typical healthy people similar to Americans without known neurological diseases/conditions. |
| II | Sample is representative of a relevant sub-group of the target population, but not the entire population. For example, a study that is restricted to women or a fish oil study in Japan where the background diet is very different from that of the US would fall into this category. | B Diseased population. Subjects with neurological disease/condition. |
| III | Sample is representative of a narrow subgroup of subjects only, and not well applicable to other subgroups. For example, a study of oldest old men or a study of a population on highly controlled diet. | |
| Peer Reviewer | Area of Expertise | Affiliation |
|---|---|---|
| Judith Ashley, Ph.D., M.S.P.H., R.D. | Nutrition | University of Nevada, Reno |
| Mona Baumgarten, Ph.D. | Epidemiology | University of Maryland |
| Graham Colditz, M.D., DR.P.H. | Neurology | Harvard |
| David Heber, M.D., Ph.D. | Nutrition | UCLA |
| Martha Clare Morris, Sc.D. | Neurology | Rush Institute for Healthy Aging |
| Lon Schneider, M.D. | Geriatric Psychiatry/Clinical Neuroscience | University of Southern California |
| Philip A. Wolf, M.D. | Neurology | Boston University |
| Christina Wolfson Ph.D. | Neurology | McGill University |
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Free Full text in PMC]The population represented by NHANES III includes individuals ages 2 months and older. Mexican Americans and non-Hispanic African-Americans, children 5 years old and younger, and adults 60 years of age and over were over-sampled to produce more precise estimates for these population groups. There were no imputations for missing 24-hour dietary recall data. A total of 29,105 participants had complete and reliable dietary recall data. The NHANES III also included a physical examination and health survey of each participant.
An Adequate Intake (AI) is defined as “the recommended average daily intake level based on observed or experimentally determined approximations or estimates of nutrient intake, by a group (or groups) of apparently healthy people, that are assumed to be adequate - used when a recommended dietary allowance cannot be determined.”9 An AI is set when data are insufficient or inadequate to establish an Estimated Average Requirement, on which the RDA is based, and indicate the need for more and better research. The EAR is “the average daily nutrient intake level estimated to meet the requirement of half the healthy individuals in a particular life stage and gender group,” based on a specific indicator or criterion of adequacy.
Identifying a food as a “good source” of a nutrient strictly means that one standard serving of the food supplies 10 to 19 percent of the Daily Value for that nutrient. The Daily Values are based on the FDA's Daily Reference Values, standards for the macronutrients (fats, protein, carbohydrates, and dietary fiber), which are similar, although not identical to the DRIs (RDAs) and are based on the amount of energy consumed per day (2000 kcal/d is the reference for calculating DVs). In the case of the PUFAs, no DVs have been established: For this report, the FNB's AIs and AMDRs, have been used instead.