Fruit and vegetable intakes and subsequent changes in body weight in European populations: results from the project on Diet, Obesity, and Genes (DiOGenes).

BACKGROUND High fruit and vegetable intakes may limit weight gain, particularly in susceptible persons, such as those who stop smoking. OBJECTIVE The objective was to assess the association of fruit and vegetable intake with subsequent weight change in a large-scale prospective study. DESIGN The data used were from 89,432 men and women from 5 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC). The association between fruit and vegetable intake and weight change after a mean follow-up of 6.5 y was assessed by linear regression. Polytomous logistic regression was used to evaluate whether fruit and vegetable intake relates to weight gain, weight loss, or both. RESULTS Per 100-g intake of fruit and vegetables, weight change was -14 g/y (95% CI: -19, -9 g/y). In those who stopped smoking during follow-up, this value was -37 g/y (95% CI: -58, -15 g/y; P for interaction < 0.0001). When weight gain and loss were analyzed separately per 100-g intake of fruit and vegetables in a combined model, the odds ratios (95% CIs) were 0.97 (0.95, 0.98) for weight gain > or =0.5 and <1 kg/y, 0.94 (0.92, 0.96) for weight gain > or =1 kg/y, and 0.97 (0.95, 0.99) for weight loss > or =0.5 kg/y. In those who stopped smoking during follow-up, the odds ratios (95% CIs) were 0.93 (0.88, 0.99), 0.87 (0.81, 0.92), and 0.97 (0.88, 1.07), respectively (P for interaction < 0.0001). CONCLUSIONS Fruit and vegetable intake relates significantly, albeit weakly inversely, to weight change. For persons who stop smoking, high fruit and vegetable intakes may be recommended to reduce the risk of weight gain.

[1]  R. Goldbohm,et al.  Higher dietary flavone, flavonol, and catechin intakes are associated with less of an increase in BMI over time in women: a longitudinal analysis from the Netherlands Cohort Study. , 2008, The American journal of clinical nutrition.

[2]  S. Sasaki,et al.  Three major dietary patterns are all independently related to the risk of obesity among 3760 Japanese women aged 18–20 years , 2008, International Journal of Obesity.

[3]  J. Vioque,et al.  Intake of Fruits and Vegetables in Relation to 10‐year Weight Gain Among Spanish Adults , 2008, Obesity.

[4]  Ahmad Esmaillzadeh,et al.  Major dietary patterns in relation to general obesity and central adiposity among Iranian women. , 2008, The Journal of nutrition.

[5]  N Slimani,et al.  The EPIC nutrient database project (ENDB): a first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study , 2007, European Journal of Clinical Nutrition.

[6]  S. McNaughton,et al.  Dietary patterns throughout adult life are associated with body mass index, waist circumference, blood pressure, and red cell folate. , 2007, The Journal of nutrition.

[7]  A. Wolk,et al.  Longitudinal changes in food patterns predict changes in weight and body mass index and the effects are greatest in obese women. , 2006, The Journal of nutrition.

[8]  J. Manson,et al.  Dietary Patterns and Changes in Body Weight in Women , 2006, Obesity.

[9]  M. Martínez-González,et al.  Adherence to a Mediterranean dietary pattern and weight gain in a follow-up study: the SUN cohort , 2006, International Journal of Obesity.

[10]  J. Manson,et al.  Use of a dummy (pacifier) during sleep and risk of sudden infant death syndrome (SIDS): population based case-control study , 2005, BMJ : British Medical Journal.

[11]  W. Mechelen,et al.  Effects of retirement on lifestyle in relation to changes in weight and waist circumference in Dutch men: a prospective study , 2005, Public Health Nutrition.

[12]  U. John,et al.  Smoking status, cigarettes per day, and their relationship to overweight and obesity among former and current smokers in a national adult general population sample , 2005, International Journal of Obesity.

[13]  W. Saris,et al.  DiOGenes: a multidisciplinary offensive focused on the obesity epidemic , 2005, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[14]  U. Nöthlings,et al.  Identification of a food pattern characterized by high-fiber and low-fat food choices associated with low prospective weight change in the EPIC-Potsdam cohort. , 2005, The Journal of nutrition.

[15]  G A Colditz,et al.  Changes in intake of fruits and vegetables in relation to risk of obesity and weight gain among middle-aged women , 2004, International Journal of Obesity.

[16]  A. Drewnowski,et al.  Dietary energy density and body weight: is there a relationship? , 2004, Nutrition reviews.

[17]  Hendriek C Boshuizen,et al.  Within- and between-cohort variation in measured macronutrient intakes, taking account of measurement errors, in the European Prospective Investigation into Cancer and Nutrition study. , 2004, American journal of epidemiology.

[18]  A. Tjønneland,et al.  Food and drinking patterns as predictors of 6-year BMI-adjusted changes in waist circumference , 2004, British Journal of Nutrition.

[19]  C. Bouchard,et al.  Modifications in food-group consumption are related to long-term body-weight changes. , 2004, The American journal of clinical nutrition.

[20]  T. Sørensen,et al.  A longitudinal study of food intake patterns and obesity in adult Danish men and women , 2004, International Journal of Obesity.

[21]  Julia A. Ello-Martin,et al.  What can intervention studies tell us about the relationship between fruit and vegetable consumption and weight management? , 2004, Nutrition reviews.

[22]  Denis Muller,et al.  Dietary patterns and changes in body mass index and waist circumference in adults. , 2003, The American journal of clinical nutrition.

[23]  F. Clavel-Chapelon,et al.  Physical activity of subjects aged 50–64 years involved in the European Prospective Investigation into Cancer and Nutrition (EPIC) , 2002, Public Health Nutrition.

[24]  N E Day,et al.  European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection , 2002, Public Health Nutrition.

[25]  A. Miller,et al.  Overweight, obesity and fat distribution in 50- to 64-year-old participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) , 2002, Public Health Nutrition.

[26]  F. Clavel-Chapelon,et al.  European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics , 2002, Public Health Nutrition.

[27]  R. D'Agostino,et al.  Dietary patterns predict the development of overweight in women: The Framingham Nutrition Studies. , 2002, Journal of the American Dietetic Association.

[28]  S. Ziebland,et al.  Effects of fruit and vegetable consumption on plasma antioxidant concentrations and blood pressure: a randomised controlled trial , 2002, The Lancet.

[29]  H. Boeing,et al.  Food groups as predictors for short-term weight changes in men and women of the EPIC-Potsdam cohort. , 2002, The Journal of nutrition.

[30]  H. Boeing,et al.  Recent weight changes and weight cycling as predictors of subsequent two year weight change in a middle-aged cohort , 2002, International Journal of Obesity.

[31]  T. Sørensen,et al.  Food intake patterns and body mass index in observational studies , 2001, International Journal of Obesity.

[32]  B. Rosner,et al.  Measurement error correction in nutritional epidemiology based on individual foods, with application to the relation of diet to breast cancer. , 2001, American journal of epidemiology.

[33]  P. Albert,et al.  Implementation of a 4-y, high-fiber, high-fruit-and-vegetable, low-fat dietary intervention: results of dietary changes in the Polyp Prevention Trial. , 2001, The American journal of clinical nutrition.

[34]  M. Thun,et al.  Stable behaviors associated with adults' 10-year change in body mass index and likelihood of gain at the waist. , 1997, American journal of public health.

[35]  C. Derby,et al.  Dietary factors in relation to weight change among men and women from two southeastern New England communities , 1997, International Journal of Obesity.

[36]  K. Flegal,et al.  The influence of smoking cessation on the prevalence of overweight in the United States. , 1995, The New England journal of medicine.

[37]  E Riboli,et al.  Calibration of dietary intake measurements in prospective cohort studies. , 1995, American journal of epidemiology.

[38]  S. Greenland Dose‐Response and Trend Analysis in Epidemiology: Alternatives to Categorical Analysis , 1995, Epidemiology.

[39]  J F Sallis,et al.  Compendium of physical activities: classification of energy costs of human physical activities. , 1993, Medicine and science in sports and exercise.

[40]  T. Byers,et al.  Smoking cessation and severity of weight gain in a national cohort. , 1991, The New England journal of medicine.

[41]  S. Premakumari,et al.  Energy and protein requirements. , 1986, WHO chronicle.