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Vegetable and fruit consumption associated with anthropometric, dietary and lifestyle factors in Spain

Published online by Cambridge University Press:  02 January 2007

Antonio Agudo  and
Guillem Pera
Antonio Agudo*
Affiliation:
IREC (Institut de Recerca Epidemiològica i Clínica), Mataró, Barcelona, Spain
Guillem Pera
Affiliation:
IREC (Institut de Recerca Epidemiològica i Clínica), Mataró, Barcelona, Spain
*
*Corresponding author: Email agudo@csm.scs.es
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Abstract

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Objective

To evaluate the association of vegetable and fruit intake with several demographic, anthropometric, lifestyle and dietary factors.

Design and setting

Cross-sectional analysis. Information on habitual diet was collected by means of the diet history method. Association of vegetable and fruit intakes with other factors was assessed separately by means of multiple lineal regression and the cumulative odds model.

Subjects

39 622 healthy subjects aged 29–69 years from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort in Spain.

Results

Fruit intake increased with age, education and physical activity and decreased with intake of saturated fatty acids and cholesterol; smoking and alcohol consumption were also negatively associated with fruit, with a very low consumption for current smokers and heavy drinkers. Vegetable intake increased with education and physical activity and with intake of unsaturated fatty acids, mainly mono-unsaturated. Former smokers consumed more vegetables than never or current smokers and non-consumers of alcohol ate less vegetables than consumers, among whom no differences were observed. All these estimates were adjusted by energy and body mass index (BMI).

Conclusions

When assessing the association of fruit and vegetables with chronic diseases it is important to take into account confounding factors. Furthermore, it would be useful to study dietary patterns including several interrelated factors.

Keywords

VegetablesFruitSmokingAlcohol drinkingDietary fatsRisk factorsStatistical modelsRegression analysis
Type
Research Article
Information
Public Health Nutrition , Volume 2 , Issue 3 , March 1999 , pp. 263 - 271
Copyright
Copyright © CABI Publishing 1999

References

1Steinmetz, KA, Potter, JD. Vegetables, fruit, and cancer prevention: a review. J. Am. Diet. Assoc. 1996; 96: 1027–39.CrossRefGoogle ScholarPubMed
2Ness, AR, Powles, JW. Fruit and vegetable, and cardiovascular diseases: a review. Int. J. Epidemiol. 1997; 26: 1–13.CrossRefGoogle ScholarPubMed
3Marshall, JR. Improving Americans' diet—setting public policy with limited knowledge (Editorial). Am. J. Public Health 1995; 85: 1609–11.CrossRefGoogle Scholar
4Nestle, M. Fruits and vegetables: protective or just fellow travelers. Nutr. Rev. 1996; 54: 255–7.CrossRefGoogle ScholarPubMed
5EPIC Group of Spain. Dietary intake of vegetables and fruits among adults in five regions of Spain. Eur. J. Clin. Nutr. 1999; 53: 174–80.CrossRefGoogle Scholar
6EPIC Group of Spain. Relative validity and reproducibility of a diet history questionnaire in Spain. I. Foods. Int. J. Epidemiol. 1997; 26 (Suppl. 1): S91–9.CrossRefGoogle Scholar
7Slimani, N, Torrent, M, Farriols, N, et al. European Prospective Investigation into Cancer and Nutrition (EPIC): Food Composition Tables—Spain. Lyon: International Agency for Research on Cancer, 1991.Google Scholar
8Pols, MA, Peeters, PHM, Ocké, MC, et al. Estimation of reproducibility and relative validity of the questions included in the EPIC physical activity questionnaire. Int. J. Epidemiol. 1997; 26 (Suppl. 1): S181–9.CrossRefGoogle ScholarPubMed
9Snedecor, GW, Cochran, WG. Statistical Methods. Ames: Iowa State University Press, 1967.Google Scholar
10Armstrong, BG, Sloan, M. Ordinal regression models for epidemiologic data. Am. J. Epidemiol. 1989; 129: 191–204.CrossRefGoogle ScholarPubMed
11Ananth, CV, Kleinbaum, DG. Regression models for ordinal responses: a review of methods and applications. Int. J. Epidemiol. 1997; 26: 1323–33.Google Scholar
12Williams, C. Healthy eating: clarifying advice about fruit and vegetables. BMJ 1995; 310: 1453–5.CrossRefGoogle ScholarPubMed
13Hosmer, DW, Lemeshow, S. Applied Logistic Regression. New York: John Wiley & Sons, 1989.Google Scholar
14Serdula, MK, Byers, T, Mokdad, AH, Simoes, E, Mendlein, JM, Coates, RJ. The association between fruit and vegetable intake and chronic disease risk factors. Epidemiology 1996; 7: 161–5.CrossRefGoogle ScholarPubMed
15Subar, AF, Heimendinger, J, Patterson, BH, Krebs-Smith, SM, Pivonka, E, Kessler, R. Fruit and vegetable intake in the United States: the baseline survey of the Five a Day for Better Health program. Am. J. Health Promot. 1995; 9: 352–60.Google Scholar
16Osler, M, Heutmann, BL. Food patterns associated with intakes of fat, carbohydrate and dietary fibre in a cohort of Danish adults followed for six years. Eur. J. Clin. Nutr. 1997; 51: 354–61.Google Scholar
17Ursin, G, Ziegler, RG, Subar, AF, Graubard, BI, Haile, RW, Hoover, R. Dietary patterns associated with low-fat diet in the national health examination follow-up study: identification of potential confounders for epidemiologic analyses. Am. J. Epidemiol. 1993; 137: 916–27.CrossRefGoogle ScholarPubMed
18EPIC Group of Spain. Patterns and sources of fat and specific fatty acids intake in the participants of the European Prospective Study on Cancer and Nutrition (EPIC) in Spain. Med. Clin. (Barc.) 1999; 112: 125–32.Google Scholar
19Nebeling, LC, Forman, MR, Graubard, BI, Snyder, RA. Specific and total carotenoids intakes among oral contraceptive and estrogen hormone users in the United States. J. Am. Coll. Nutr. 1996; 15: 608–13.CrossRefGoogle ScholarPubMed
20Margetts, BM, Jackson, AA. Interactions between people's diet and their smoking habits; the dietary and nutritional survey of British adults. BMJ 1993; 307: 1381–4.CrossRefGoogle ScholarPubMed
21Zondervan, KT, Ocké, MC, Smit, HA, Seidell, JC. Do dietary and supplementary intakes of antioxidants differ with smoking status? Int. J. Epidemiol. 1996; 25: 70–9.CrossRefGoogle ScholarPubMed
22Martínez, MA, Pérez, R, Martínez, J, García, M, Bueno, A. Dietary intake of some food items in smokers and non-smokers in a Mediterranean population. Eur. J. Public Health 1997; 7: 40–4.Google Scholar
23Oshaugh, A, Bjonnes, CH, Bugge, KH, Trygg, KU. Tobacco smoking, an independent determinant for unhealthy diet? Eur. J. Public Health 1996; 6: 196–202.CrossRefGoogle Scholar
24Subar, AF, Harlan, LC, Mattson, ME. Food and nutrient intake differences between smokers and non-smokers in the US. Am. J. Public Health 1990; 80: 1323–9.CrossRefGoogle ScholarPubMed
25Thompson, RL, Pyke, SDM, Scott, EA, Thompson, SG, Wood, DA. Dietary changes after smoking cessation: a prospective study. Br. J. Nutr. 1995; 74: 27–38.CrossRefGoogle ScholarPubMed
26Bingham, SA, Nelson, M. Assessment of food composition and nutrient intake. In: Margetts, BM, Nelson, M, eds. Design Concepts in Nutritional Epidemiology. Oxford: Oxford University Press, 1991, 153–91.Google Scholar
27Willet, W. Nutritional Epidemiology. New York: Oxford University Press, 1990.Google Scholar
28Krebs-Smith, SM, Cleveland, LE, Ballard-Barbash, R, Cook, DA, Kahle, LL. Characterizing food intake patterns of American adults. Am. J. Clin. Nutr. 1997; 65 (Suppl.): S1264–8.CrossRefGoogle ScholarPubMed