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Dietary pattern and weight change in a 5-year follow-up among Chinese adults: results from the Jiangsu Nutrition Study

  • Zumin Shi (a1) (a2), Baojun Yuan (a1), Gang Hu (a3), Yue Dai (a1), Hui Zuo (a1) and Gerd Holmboe-Ottesen (a2)...
Abstract

The aim of the present study was to examine the association between dietary patterns and weight change prospectively. We followed up 1231 adults aged 20 years and older (mean age 49·3 years) from 2002 to 2007. Food intake was assessed at baseline by an FFQ. Factor analysis was used to identify dietary patterns. Nutrient intake was measured by food weighing plus consecutive individual 3 d food records. Body weight and height were measured. The mean 5-year weight gain among all participants was 0·8 (sd 4·7) kg. The mean weight changes across quartiles of the ‘traditional’ pattern (rice, fresh vegetables, pork and wheat flour) were 2·0, 0·6, 0·6 and 0·0 kg. The corresponding values were 0·4, 0·5, 0·7 and 1·6 kg across quartiles of the ‘vegetable-rich’ pattern. No significant association between the ‘macho’ dietary pattern (meat and alcohol), the ‘sweet tooth’ pattern (drinks and cake) and weight gain was found. In multivariate linear regression, using the first quartile as the reference, participants in the highest quartile of the ‘traditional’ pattern had a β of − 2·18 (95 % CI − 2·91, − 1·45) for weight gain. However, the β from weight change of the highest quartile of the ‘vegetable-rich’ pattern was 1·00 (95 % CI 0·25, 1·74). In conclusion, the ‘traditional’ dietary pattern was negatively and the ‘vegetable-rich’ pattern was positively associated with weight gain in Chinese adults.

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Corresponding author
*Corresponding author: Z. Shi, email zumins@vip.sina.com
References
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1 World Health Organization (2000) Obesity: Prevention and Managing the Global Epidemic. WHO Technical Report Series no. 894. Geneva: World Health Organization.
2 WHO/FAO (2003) Diet, Nutrition and the Prevention of Chronic Diseases: Report of a Joint WHO/FAO Expert Consultation. Geneva: World Health Organization.
3 Hu, FB (2008) Obesity Epidemiology. New York: Oxford University Press.
4 Newby, PK & Tucker, KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62, 177203.
5 Newby, PK, Muller, D, Hallfrisch, J, et al. (2004) Food patterns measured by factor analysis and anthropometric changes in adults. Am J Clin Nutr 80, 504513.
6 Newby, PK, Weismayer, C, Akesson, A, et al. (2006) Longitudinal changes in food patterns predict changes in weight and body mass index and the effects are greatest in obese women. J Nutr 136, 25802587.
7 Togo, P, Osler, M, Sorensen, TI, et al. (2004) A longitudinal study of food intake patterns and obesity in adult Danish men and women. Int J Obes Relat Metab Disord 28, 583593.
8 Okubo, H, Sasaki, S, Murakami, K, et al. (2008) Three major dietary patterns are all independently related to the risk of obesity among 3760 Japanese women aged 18–20 years. Int J Obes (Lond) 32, 541549.
9 Cai, H, Zheng, W, Xiang, YB, et al. (2007) Dietary patterns and their correlates among middle-aged and elderly Chinese men: a report from the Shanghai Men's Health Study. Br J Nutr 98, 10061013.
10 Shi, Z, Hu, X, Yuan, B, et al. (2008) Vegetable rich food pattern is related to obesity in China. Int J Obes (Lond) 32, 975984.
11 Shai, I, Schwarzfuchs, D, Henkin, Y, et al. (2008) Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. N Engl J Med 359, 229241.
12 Sacks, FM, Bray, GA, Carey, VJ, et al. (2009) Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. N Engl J Med 360, 859873.
13 Woo, J, Woo, KS, Leung, SS, et al. (2001) The Mediterranean score of dietary habits in Chinese populations in four different geographical areas. Eur J Clin Nutr 55, 215220.
14 Chen, CM, Zhao, W, Yang, Z, et al. (2008) The role of dietary factors in chronic disease control in China. Obes Rev 9, Suppl. 1, 100103.
15 Zhao, W, Hasegawa, K & Chen, J (2002) The use of food-frequency questionnaires for various purposes in China. Public Health Nutr 5, 829833.
16 Li, YP, He, YN, Zhai, FY, et al. (2006) Comparison of assessment of food intakes by using 3 dietary survey methods. Zhonghua Yu Fang Yi Xue Za Zhi 40, 273280.
17 Yang, Y (2005) Chinese Food Composition Table 2004. Beijing: Peking University Medical Press.
18 Ma, G, Luan, D, Liu, A, et al. (2007) The analysis and evaluation of a physical activity questionnaire of Chinese employed population. Ying Yang Xue Bao 29, 217221.
19 Prentice, AM & Jebb, SA (2003) Fast foods, energy density and obesity: a possible mechanistic link. Obes Rev 4, 187194.
20 Savage, JS, Marini, M & Birch, LL (2008) Dietary energy density predicts women's weight change over 6 y. Am J Clin Nutr 88, 677684.
21 Guallar-Castillon, P, Rodriguez-Artalejo, F, Fornes, NS, et al. (2007) Intake of fried foods is associated with obesity in the cohort of Spanish adults from the European Prospective Investigation into Cancer and Nutrition. Am J Clin Nutr 86, 198205.
22 Sichieri, R (2002) Dietary patterns and their associations with obesity in the Brazilian city of Rio de Janeiro. Obes Res 10, 4248.
23 Zhang, X, Dagevos, H, He, Y, et al. (2008) Consumption and corpulence in China: a consumer segmentation study based on the food perspective. Food Policy 33, 3747.
24 Lin, H, Bermudez, OI & Tucker, KL (2003) Dietary patterns of Hispanic elders are associated with acculturation and obesity. J Nutr 133, 36513657.
25 Borland, SE, Robinson, SM, Crozier, SR, et al. (2007) Stability of dietary patterns in young women over a 2-year period. Eur J Clin Nutr 62, 119126.
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British Journal of Nutrition
  • ISSN: 0007-1145
  • EISSN: 1475-2662
  • URL: /core/journals/british-journal-of-nutrition
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