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J R Soc Med. Sep 2005; 98(9): 411–414.
PMCID: PMC1199636

Malnutrition screening in the elderly population

Dylan Harris, MB MRCP1 and Nadim Haboubi, MD FRCP2

Malnutrition is a state in which a deficiency, excess or imbalance of energy, protein and other nutrients causes adverse effects on body form, function and clinical outcome.1 To justify screening for this state in the elderly, four criteria must be satisfied: malnutrition must be a frequent cause of ill-health in this population; it must have a negative effect on outcomes; a simple, reliable, valid and acceptable screening test must be available to detect those who are malnourished or at risk of malnutrition; and there must be benefit from nutritional intervention in those identified by screening. In this review we consider whether these conditions are satisfied by tests of various kinds.


The above question is difficult to answer in the absence of universally accepted criteria to define malnutrition.2-7

In the older population, undernutrition rather than overnutrition is the main cause for concern, since its relation to morbidity and mortality is stronger than that of obesity.8 The prevalence of malnutrition increases with escalating frailty and physical dependence.1 The complex biological process of ageing is accompanied by many socioeconomic factors that also impact on nutritional status.9 Anorexia and weight loss are common in the elderly and the physiological decrease in appetite and food intake that accompanies normal ageing can be augmented by acute and chronic disease.10 Contributing factors are altered smell/taste, poor dental health and age-related achlorhydria, in addition a decrease in physical activity leads to reduction of lean body mass and accumulation of body fat.4,10,11 Also important are social factors such as poverty and isolation, psychological factors such as depression and dementia, and medical factors such as poor visual acuity and prescribed medication.1,4,10,12 Many of these are reversible or responsive to treatment.10 In 2002 the Royal College of Physicians highlighted the over-65s as a nutritionally vulnerable group, with 12% of those living in the community at high or medium risk of malnutrition. The prevalence was reckoned at 20% among those in residential accommodation and up to 40% in those admitted to hospital.13 The College identified nutritional screening as an integral part of clinical practice.

The economic cost of preventable malnutrition to the National Health Service has been estimated at £260 million a year.14


There is ample evidence of the adverse consequences of malnutrition on physical and psychosocial outcomes,13,15-17 and seemingly these are independent of underlying disease and disability.18 Malnourished older people are at increased risk of falls, lengthy hospital stays and rehabilitation, institutionalization, postoperative complications, infections, pressure ulcers, poor wound healing, impaired muscle and respiratory function and death.1,7,19


Nutritional screening, in its various forms, looks for characteristics associated with nutritional problems so that the individuals identified can undergo full nutrition assessment and possible intervention.20

The process, as well as being quick and simple, needs to be acceptable to patients and healthcare workers. Furthermore, it must have good sensitivity for detecting treatable malnutrition, even if the specificity is lower.21,22 Ideally, a single nutritional marker would be consistently abnormal in patients with protein-energy malnutrition (high sensitivity), consistently normal in patients without protein-energy malnutrition (high specificity), nutrition-specific (unaffected by non-nutritional factors), and made normal by nutritional support.23

Body mass index (BMI)

Body mass index (weight[kg]/height[m2]) predicts disease risk both in those termed underweight and in those who are obese.6 The World Health Organization categorizes underweight as BMI 518.5, normal 18.5-24.9, over-weight 25-29.9, obese 30-39.9 and extreme obesity 440. However, BMI may be unreliable in the presence of confounding factors such as oedema or ascites, and may not identify significant unintentional weight loss if used as a single assessment.17,25,26 Furthermore, reliable measurement of height can be difficult in the elderly because of vertebral compression, loss of muscle tone and postural changes.17,27 For this reason, some screening tools use alternatives such as measurement of ulna length.8


Skinfold thickness can be measured with standardized callipers but requires a skilled technique. Several different sites can be used—subscapular, supra-iliac, biceps, triceps, thigh, calf. The distribution of skinfold thickness varies with ageing and between sexes and between ethnic groups.23

Use of arm circumference depends on the assumption that the mass of the muscle group is proportional to its protein content and also reflects total body muscle mass.23 Mid-upper arm circumference is a helpful indicator of malnutrition applicable in ill patients (normal 23 cm males, 422 cm females).28

Anthropometric indices are simple and inexpensive to obtain,29 but have to be interpreted in the light of age, gender and ethnicity.27 Furthermore, some are unreliable in conditions that cause limb oedema.

Biochemical markers

Serum proteins synthesized by the liver have been used as markers of nutrition—albumin, transferrin, retinol-binding protein and thyroxine-binding prealbumin.6 Of these, serum albumin has been most widely adopted because it predicts mortality and other outcomes (for example, perioperative complications) in older people. Nutritional state, however, is not the only factor affecting these proteins, others being inflammation and infection. This limits their usefulness, especially in the acutely ill.5,6,16 In addition, the long half-life of albumin means that serum albumin does not respond to short-term changes in protein and energy intake.16 Transferrin is a more sensitive indicator of early protein-energy malnutrition but is unreliable in conditions including pregnancy, iron deficiency, hypoxaemia, chronic infection and hepatic disease.16 A low total lymphocyte count signifies a poor prognosis and is independent of low serum albumin.6,11 Malnutrition contributes to age-related immune dysregulation, including decreased lymphocyte proliferation.10 A low total cholesterol has also been correlated with risk of malnutrition3 and assessment of vitamin and trace element status is also important (including thiamine, riboflavin, pyridoxine, calcium, vitamin D, B12, folate and ferritin).

No biochemical marker on its own offers a satisfactory screening test. Their main value is in more detailed assessment (particularly risk stratification of patients identified by screening) and for monitoring.18

Malnutrition screening tools

In view of the limitations of individual methods, over fifty combinations have been tried, with different criteria, scoring systems, intended users, and acceptability.8 Below we discuss two that have been well validated.

The Malnutrition Universal Screening Tool (MUST) derives a score classifying malnutrition risk as low, medium or high on the basis of three components—BMI, history of unexplained weight loss and acute illness effect.8 MUST was developed primarily for use in the community (where it predicts admission rates and need for general practitioner visits) but has also been shown to have high predictive validity in the hospital environment (length of hospital stay, mortality in elderly wards, discharge destination in orthopaedic patients).8,21 Stratton et al.30 compared it with various other validated screening tools and found it as good as and faster than most (3-5 minutes).

The Mini Nutritional Assessment (MNA) was developed to evaluate the risk of malnutrition in the elderly in home-care programmes, nursing homes and hospitals. In theory it should be better at identifying frail elderly patients at risk of undernutrition since it encompasses physical and mental aspects of health;20,21,31 moreover, it detects risk of malnutrition at a time when albumin levels and BMI are still normal.32 The score for screening is derived from six components—reduced food intake in the preceding three months; weight loss during the preceding three months; mobility; psychological stress or acute disease in the preceding three months; neuropsychological problems; body mass index.20

The MNA has predictive validity for adverse health outcome, social functioning, mortality and rate of visits to the general practitioner as well as length of hospital stay, likelihood of discharge to a nursing home and mortality.20,21 A score of 11 or more on the screening component of the MNA offers strong evidence that malnutrition is absent.33 The MNA has also shown itself practical and reliable.19,21,34


The above key question is made difficult to answer by the wide range of interventions, differences between populations studied and diversity of outcome measures.14,35,36 Most trials have used primary nutritional outcome measures such as weight change and dietary intake rather than mortality, morbidity and functional outcomes.14 On existing evidence, however, dietary supplementation does appear beneficial in terms of weight gain, arm muscle circumference, length of hospital stay and mortality.14,35-37 Weight gain is an outcome measure of particular importance since it correlates with improvements in immune function, muscle function and functional independence.36 In meta-analyses of the benefits of supplementation in elderly people at risk from malnutrition, a significantly reduced mortality is seen in the following groups: patients defined as undernourished; supplements of more than 400 kcal per day; age over 75; supplements for more than 35 days; those acutely unwell; patients in hospital or nursing homes.7

Large multicentre randomized controlled trials are needed to assess the benefits of nutritional intervention in clearly defined patient groups.14,36 Evidence has been offered that nutritional support is cost-effective, particularly in terms of hospital and nursing care.38


The importance of nutrition is now specified in documents such as the UK National Service Framework for older people but there is no consensus on methods of detection. Anthropometry and biochemical markers have drawbacks, and the choice falls on ‘screening tools’ employing combinations that can be applied without specific skills or training.

In a particular hospital or community, there is much to be said for use of a single such tool, and one that attracts wide support is MUST, supported by the British Dietetic Association, the British Association for Parenteral and Enteral Nutrition, the Royal College of Nursing, the Registered Nursing Homes Association and the Royal College of Physicians.


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