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Nutrients. 2017 May 3;9(5). pii: E452. doi: 10.3390/nu9050452.

Polyphenol Levels Are Inversely Correlated with Body Weight and Obesity in an Elderly Population after 5 Years of Follow Up (The Randomised PREDIMED Study).

Author information

1
Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA-UB, School of Pharmacy and Food Science, University of Barcelona, 08028 Barcelona, Spain. guoxiaohui1130@gmail.com.
2
Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA-UB, School of Pharmacy and Food Science, University of Barcelona, 08028 Barcelona, Spain. annatresserra@ub.edu.
3
CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. annatresserra@ub.edu.
4
CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. restruch@clinic.ub.es.
5
Department of Internal Medicine, Hospital Clínic, IDIBAPS, University of Barcelona, 08036 Barcelona, Spain. restruch@clinic.ub.es.
6
CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. mamartinez@unav.es.
7
Department of Preventive Medicine and Public Health, School of Medicine & IdiSNA (Institute for Health Research), University of Navarra, 31080 Pamplona, Spain. mamartinez@unav.es.
8
Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA 02115, USA. mamartinez@unav.es.
9
CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. amedina@ub.edu.
10
Department of Internal Medicine, Hospital Clínic, IDIBAPS, University of Barcelona, 08036 Barcelona, Spain. amedina@ub.edu.
11
CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. mfito@imim.es.
12
Cardiovascular Risk and Nutrition Research Group (CARIN, Regicor Study Group), IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain. mfito@imim.es.
13
CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. dolores.corella@uv.es.
14
Department of Epidemiology, Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain. dolores.corella@uv.es.
15
CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. jordi.salas@urv.cat.
16
Human Nutrition Unit, University Hospital of Sant Joan de Reus, Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, IISPV, Rovira i Virgili University, 43201 Reus, Spain. jordi.salas@urv.cat.
17
CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. mariapuy.portillo@ehu.es.
18
Nutrition and Obesity Group, Department of Nutrition and Food Science, Faculty of Pharmacy and Lucio Lascaray Research Institute, University of País Vasco (UPV/EHU), 01006 Vitoria, Spain. mariapuy.portillo@ehu.es.
19
Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA-UB, School of Pharmacy and Food Science, University of Barcelona, 08028 Barcelona, Spain. jjmoreno@ub.edu.
20
New York Obesity Research Center, Department of Medicine and Institute of Human Nutrition, Columbia University, New York, NY 10032, USA. fxp1@columbia.edu.
21
Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA-UB, School of Pharmacy and Food Science, University of Barcelona, 08028 Barcelona, Spain. lamuela@ub.edu.
22
CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain. lamuela@ub.edu.

Abstract

Overweight and obesity have been steadily increasing in recent years and currently represent a serious threat to public health. Few human studies have investigated the relationship between polyphenol intake and body weight. Our aim was to assess the relationship between urinary polyphenol levels and body weight. A cross-sectional study was performed with 573 participants from the PREDIMED (Prevención con Dieta Mediterránea) trial (ISRCTN35739639). Total polyphenol levels were measured by a reliable biomarker, total urinary polyphenol excretion (TPE), determined by the Folin-Ciocalteu method in urine samples. Participants were categorized into five groups according to their TPE at the fifth year. Multiple linear regression models were used to assess the relationships between TPE and obesity parameters; body weight (BW), body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR). After a five years follow up, significant inverse correlations were observed between TPE at the 5th year and BW (β = -1.004; 95% CI: -1.634 to -0.375, p = 0.002), BMI (β = -0.320; 95% CI: -0.541 to -0.098, p = 0.005), WC (β = -0.742; 95% CI: -1.326 to -0.158, p = 0.013), and WHtR (β = -0.408; 95% CI: -0.788 to -0.028, p = 0.036) after adjustments for potential confounders. To conclude, a greater polyphenol intake may thus contribute to reducing body weight in elderly people at high cardiovascular risk.

KEYWORDS:

PREDIMED; obesity; overweight; polyphenol; urine

PMID:
28467383
PMCID:
PMC5452182
DOI:
10.3390/nu9050452
[Indexed for MEDLINE]
Free PMC Article

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