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Longitudinal analysis of dietary patterns in Chinese adults from 1991 to 2009

  • Carolina Batis (a1), Daniela Sotres-Alvarez (a2), Penny Gordon-Larsen (a1), Michelle A. Mendez (a1), Linda Adair (a1) and Barry Popkin (a1)...

Abstract

In the present study, we aimed to identify the changes or stability in the structure of dietary patterns and tracking, trends and factors related to the adherence to these dietary patterns in China from 1991 to 2009. We analysed dietary data collected during seven waves of the China Health and Nutrition Survey and included 9253 adults with complete dietary data for three or more waves. Dietary intake assessment was carried out over a 3 d period with 24 h recalls and a household food inventory. Using factor analysis in each wave, we found that the structure of the two dietary patterns identified remained stable over the studied period. The traditional southern dietary pattern was characterised by high intakes of rice, fresh leafy vegetables, low-fat red meat, pork, organ meats, poultry and fish/seafood and low intakes of wheat flour and maize/coarse grains and the modern high-wheat dietary pattern was characterised by high intakes of wheat buns/breads, cakes/cookies/pastries, deep-fried wheat, nuts/seeds, starchy root/tuber products, fruits, eggs/egg products, soya milk, animal-based milk and instant noodles/frozen dumplings. Temporal tracking (maintenance of a relative position over time) was higher for the traditional southern dietary pattern, whereas adherence to the modern high-wheat dietary pattern had an upward trend over time. Higher income, education and urbanicity levels were positively associated with both the dietary patterns, but the association became weaker in the later years. These results suggest that even in the context of rapid economic changes in China, the way people chose to combine their foods remained relatively stable. However, the increasing popularity of the modern high-wheat dietary pattern, a pattern associated with several energy-dense foods, is a cause of concern.

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Corresponding author

* Corresponding author: B. Popkin, fax +1 919 966 9159, email popkin@unc.edu

References

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1 Wang, Y, Mi, J, Shan, X, et al. (2006) Is China facing an obesity epidemic and the consequences? The trends in obesity and chronic disease in China. Int J Obes (Lond) 31, 177188.
2 Yang, ZJ, Liu, J, Ge, JP, et al. (2012) Prevalence of cardiovascular disease risk factor in the Chinese population: the 2007–2008 China National Diabetes and Metabolic Disorders Study. Eur Heart J 33, 213220.
3 Wang, Z, Zhai, F, Du, S, et al. (2008) Dynamic shifts in Chinese eating behaviors. Asia Pac J Clin Nutr 17, 123130.
4 Wang, Z, Zhai, F, Zhang, B, et al. (2012) Trends in Chinese snacking behaviors and patterns and the social-demographic role between 1991 and 2009. Asia Pac J Clin Nutr 21, 253262.
5 Popkin, BM, Lu, B & Zhai, F (2002) Understanding the nutrition transition: measuring rapid dietary changes in transitional countries. Public Health Nutr 5, 947953.
6 Zhai, F, Wang, H, Du, S, et al. (2009) Prospective study on nutrition transition in China. Nutr Rev 67, S56S61.
7 Moeller, SM, Reedy, J, Millen, AE, et al. (2007) Dietary patterns: challenges and opportunities in dietary patterns research. An Experimental Biology workshop, April 1, 2006. J Am Diet Assoc 107, 12331239.
8 Hoffmann, K, Schulze, M, Boeing, H, et al. (2002) Dietary patterns: report of an international workshop. Public Health Nutr 5, 8990.
9 Hu, FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13, 39.
10 Wang, D, He, Y, Li, Y, et al. (2011) Dietary patterns and hypertension among Chinese adults: a nationally representative cross-sectional study. BMC Public Health 11, 925.
11 Li, Y, He, Y, Lai, J, et al. (2011) Dietary patterns are associated with stroke in Chinese adults. J Nutr 141, 18341839.
12 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.
13 Popkin, BM, Du, S, Zhai, F, et al. (2010) Cohort Profile: The China Health and Nutrition Survey – monitoring and understanding socio-economic and health change in China, 1989–2011. Int J Epidemiol 39, 14351440.
14 Bollen, KA (1989) Structural Equations with Latent Variables. New York: Wiley.
15 Maydeu-Olivares, A, García-Forero, C, Gallardo-Pujol, D, et al. (2009) Testing categorized bivariate normality with two-stage polychoric correlation estimates. Methodology 5, 131136.
16 Kim, JO & Mueller, CW (1978) Factor Analysis: Statistical Methods and Practical Issues. Oaks, CA: Sage.
17 Lorenzo-Seva, U & Ten Berge, JM (2006) Tucker's congruence coefficient as a meaningful index of factor similarity. Methodology 2, 5764.
18 Mishra, GD, McNaughton, SA, Bramwell, GD, et al. (2006) Longitudinal changes in dietary patterns during adult life. Br J Nutr 96, 735744.
19 Crozier, SR, Robinson, SM, Godfrey, KM, et al. (2009) Women's dietary patterns change little from before to during pregnancy. J Nutr 139, 19561963.
20 Northstone, K & Emmett, PM (2008) A comparison of methods to assess changes in dietary patterns from pregnancy to 4 years post-partum obtained using principal components analysis. Br J Nutr 99, 10991106.
21 Elstgeest, LEM, Mishra, GD & Dobson, AJ (2012) Transitions in living arrangements are associated with changes in dietary patterns in young women. J Nutr 142, 15611567.
22 Muthén, BO (1998–2004) Mplus Technical Appendices. Los Angeles, CA: Muthén & Muthén.
23 Twisk, JW (2003) Tracking. In Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide, pp. 225240 [Twisk, JW, editor]. Cambridge, UK: Cambridge University Press.
24 Hernán, MA & Robins, JM (2006) Estimating causal effects from epidemiological data. J Epidemiol Community Health 60, 578586.
25 Zhang, Y, Tan, H, Dai, X, et al. (2012) Dietary patterns are associated with weight gain in newlyweds: findings from a cross-sectional study in Shanghai, China. Public Health Nutr 15, 876884.
26 Villegas, R, Yang, G, Gao, YT, et al. (2010) Dietary patterns are associated with lower incidence of type 2 diabetes in middle-aged women: the Shanghai Women's Health Study. Int J Epidemiol 39, 889899.
27 Cui, X, Dai, Q, Tseng, M, et al. (2007) Dietary patterns and breast cancer risk in the Shanghai Breast Cancer Study. Cancer Epidemiol Biomarkers Prev 16, 14431448.
28 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.
29 Zuo, H, Shi, Z, Yuan, B, et al. (2013) Dietary patterns are associated with insulin resistance in Chinese adults without known diabetes. Br J Nutr 109, 16621669.
30 Nanri, A, Shimazu, T, Ishihara, J, et al. (2012) Reproducibility and validity of dietary patterns assessed by a food frequency questionnaire used in the 5-year follow-up survey of the Japan Public Health Center-Based Prospective Study. J Epidemiol 22, 205215.
31 Hu, FB, Rimm, E, Smith-Warner, SA, et al. (1999) Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr 69, 243249.
32 Khani, BR, Ye, W, Terry, P, et al. (2004) Reproducibility and validity of major dietary patterns among Swedish women assessed with a food-frequency questionnaire. J Nutr 134, 15411545.
33 Newby, PK, Weismayer, C, Akesson, A, et al. (2006) Long-term stability of food patterns identified by use of factor analysis among Swedish women. J Nutr 136, 626633.
34 Ng, SW & Popkin, BM (2012) Monitoring foods and nutrients sold and consumed in the United States: dynamics and challenges. J Acad Nutr Diet 112, 4145.
35 Hu, D, Reardon, T, Rozelle, S, et al. (2004) The emergence of supermarkets with Chinese characteristics: challenges and opportunities for China's agricultural development. Dev Policy Rev 22, 557586.
36 WHO Expert Consultation (2004) Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363, 157163.
37 Jones-Smith, JC & Popkin, BM (2010) Understanding community context and adult health changes in China: development of an urbanicity scale. Soc Sci Med 71, 14361446.

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