Fatty and lean red meat consumption in China: Differential association with Chinese abdominal obesity

Nutrition, Metabolism and Cardiovascular Diseases

Volumn 24, Issue 8, 2014, Pages 869-876

  Wang, Z ^a,b   Zhang, B ^b   Zhai, F ^b   Wang, H ^b   Zhang, J ^b   Du, W ^b   Su, C ^b   Jiang, H ^b   Popkin, B M ^a  

^a University of North Carolina   (United States)

^b CHINESE CENTER FOR DISEASE CONTROL AND PREVENTION   (China)

Author keywords

Abdominal obesity; Chinese; Fatty fresh red meat; Waist circumference

Indexed keywords

ABDOMINAL OBESITY; ADULT; AGED; ARTICLE; CALORIC INTAKE; FEMALE; FOOD COMPOSITION; HUMAN; MALE; MEAT; NUTRITIONAL ASSESSMENT; PHYSICAL ACTIVITY; PRIORITY JOURNAL; QUESTIONNAIRE; RED MEAT; WAIST CIRCUMFERENCE; ADOLESCENT; ASIAN CONTINENTAL ANCESTRY GROUP; BODY MASS; CHINA; DIET; FAT INTAKE; LONGITUDINAL STUDY; MIDDLE AGED; OBESITY, ABDOMINAL; PROSPECTIVE STUDY; STATISTICAL MODEL; YOUNG ADULT;

FAT INTAKE;

ADOLESCENT; ADULT; AGED; ASIAN CONTINENTAL ANCESTRY GROUP; BODY MASS INDEX; CHINA; DIET; DIETARY FATS; FEMALE; HUMANS; LINEAR MODELS; LOGISTIC MODELS; LONGITUDINAL STUDIES; MALE; MEAT; MIDDLE AGED; NUTRITION ASSESSMENT; OBESITY, ABDOMINAL; PROSPECTIVE STUDIES; WAIST CIRCUMFERENCE; YOUNG ADULT;

EID: 84904722890     PISSN: 09394753     EISSN: 15903729     Source Type: Journal    
DOI: 10.1016/j.numecd.2014.03.002     Document Type: Article

References (30)

1. Popkin B.M., Adair L.S., Ng S.W. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev 2012, 70:3-21.
2. Fengying Z., Du Shufa, Wang Zhihong, Zhang J., Du Wenwen, Popkin Barry M. Dynamics of the Chinese diet and the role of urbanization, 1991-2011. Obes Rev 2014, 15(Suppl. 1):16-26.
3. Ng S.W., Howard Annie-Green, Wang Huijun, Su Chang, Zhang Bing The physical activity transition among adults in China: 1991-2011. Obes Rev 2014, 15(Suppl. 1):27-36.
4. Yan S., Li J., Li S., Zhang B., Du S., Gordon-Larsen P., et al. The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obes Rev 2012, 13:810-821.
5. Adair L.S., Gordon-Larsen Penny, Du Shufa, Zhang Bing, Popkin Barry The emergence of cardiometabolic disease risk in Chinese children and adults: consequences of changes patterns of diet, physical activity, and obesity. Obes Rev 2014, 15(Suppl. 1):49-59.
6. Yang Z.J., Liu J., Ge J.P., Chen L., Zhao Z.G., Yang W.Y. Prevalence of cardiovascular disease risk factor in the Chinese population: the 2007-2008 China National Diabetes and Metabolic Disorders Study. Eur Heart J 2012, 33:213-220.
7. Gordon-Larsen P., Adair L.S., Meigs J.B., Mayer-Davis E., Herring A., Yan S.K., et al. Discordant risk: overweight and cardiometabolic risk in Chinese adults. Obesity (Silver Spring) 2013, 21:E166-E174.
8. Janssen I., Katzmarzyk P.T., Ross R. Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 2004, 79:379-384.
9. Wang H.J., Wang Z.H., Yu W.T., Zhang B., Zhai F.Y. Changes of waist circumference distribution and the prevalence of abdominal adiposity among Chinese adults from 1993 to 2006. Chin J Epidemiol 2008, 29:953-958.
10. Babio N., Sorli M., Bullo M., Basora J., Ibarrola-Jurado N., Fernandez-Ballart J., et al. Association between red meat consumption and metabolic syndrome in a Mediterranean population at high cardiovascular risk: cross-sectional and 1-year follow-up assessment. Nutr Metab Cardiovasc Dis 2012, 22:200-207.
11. Wang Y., Beydoun M.A. Meat consumption is associated with obesity and central obesity among US adults. Int J Obes (Lond) 2009, 33:621-628.
12. Nooyens A.C., Visscher T.L., Schuit A.J., van Rossum C.T., Verschuren W.M., van Mechelen W., et al. Effects of retirement on lifestyle in relation to changes in weight and waist circumference in Dutch men: a prospective study. Public Health Nutr 2005, 8:1266-1274.
13. Drapeau V., Despres J.P., Bouchard C., Allard L., Fournier G., Leblanc C., et al. Modifications in food-group consumption are related to long-term body-weight changes. Am J Clin Nutr 2004, 80:29-37.
14. Halkjaer J., Sorensen T.I., Tjonneland A., Togo P., Holst C., Heitmann B.L. Food and drinking patterns as predictors of 6-year BMI-adjusted changes in waist circumference. Br J Nutr 2004, 92:735-748.
15. Halkjaer J., Tjonneland A., Overvad K., Sorensen T.I. Dietary predictors of 5-year changes in waist circumference. J Am Diet Assoc 2009, 109:1356-1366.
16. Lee J.E., McLerran D.F., Rolland B., Chen Y., Grant E.J., Vedanthan R., et al. Meat intake and cause-specific mortality: a pooled analysis of Asian prospective cohort studies. Am J Clin Nutr 2013, 98:1032-1041.
17. Popkin B.M. Reducing meat consumption has multiple benefits for the world's health. Arch Intern Med 2009, 169:543-545.
18. McAfee A.J., McSorley E.M., Cuskelly G.J., Moss B.W., Wallace J.M., Bonham M.P., et al. Red meat consumption: an overview of the risks and benefits. Meat Sci 2010, 84:1-13.
19. Wang Z., Tang L., Sun G., Tang Y., Xie Y., Wang S., et al. Etiological study of esophageal squamous cell carcinoma in an endemic region: a population-based case control study in Huaian, China. BMC Cancer 2006, 6:287.
20. Jones-Smith J.C., Popkin B.M. Understanding community context and adult health changes in China: development of an urbanicity scale. Soc Sci Med 2010, 71:1436-1446.
21. Wang Z., Zhang B., Wang H., Zhang J., Du W., Su C., et al. Study on the multilevel and longitudinal association between meat consumption and changes in body mass index, body weight and risk of incident overweight among Chinese adults. Chin J Epidemiol 2013, 34:1-7.
22. Yang Y., Wang G., Pan X. China food composition table 2009 2009, Peking University Medical Press, Beijing. 2nd ed.
23. Chen C., Lu F.C. the guidelines for prevention and control of overweight and obesity in Chinese adults. Biomed Environ Sci 2004, 17(Suppl.):1-36. Department of Disease Control Ministry of Health PRC.
24. Romaguera D., Angquist L., Du H., Jakobsen M.U., Forouhi N.G., Halkjaer J., et al. Dietary determinants of changes in waist circumference adjusted for body mass index - a proxy measure of visceral adiposity. PLoS One 2010, 5:e11588.
25. Moghaddam E., Vogt J.A., Wolever T.M. The effects of fat and protein on glycemic responses in nondiabetic humans vary with waist circumference, fasting plasma insulin, and dietary fiber intake. J Nutr 2006, 136:2506-2511.
26. Wagemakers J.J., Prynne C.J., Stephen A.M., Wadsworth M.E. Consumption of red or processed meat does not predict risk factors for coronary heart disease; results from a cohort of British adults in 1989 and 1999. Eur J Clin Nutr 2009, 63:303-311.
27. Casas-Agustench P., Lopez-Uriarte P., Bullo M., Ros E., Gomez-Flores A., Salas-Salvado J. Acute effects of three high-fat meals with different fat saturations on energy expenditure, substrate oxidation and satiety. Clin Nutr 2009, 28:39-45.
28. Storlien L.H., Hulbert A.J., Else P.L. Polyunsaturated fatty acids, membrane function and metabolic diseases such as diabetes and obesity. Curr Opin Clin Nutr Metab Care 1998, 1:559-563.
29. Paeratakul S., Popkin B.M., Kohlmeier L., Hertz-Picciotto I., Guo X., Edwards L.J. Measurement error in dietary data: implications for the epidemiologic study of the diet-disease relationship. Eur J Clin Nutr 1998, 52:722-727.
30. Wang Z., Zhai F., Du S., Popkin B. Dynamic shifts in Chinese eating behaviors. Asia Pac J Clin Nutr 2008, 17:123-130.