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[Changes in the prevalence of obesity and abdominal obesity in middle-aged Chengdu residents during 1992 and 2007].

Kai Wu, Xiaoping Chen, Ling Gong, Xiaojia Luo, Xiao-Ni Chen, D X Huang

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Abstract

OBJECTIVE: To analyze the changes in the prevalence of obesity and abdominal obesity in the middle-aged Chengdu residents during 1992 and 2007. METHODS: In 1992, a cohort of 1365 Chengdu residents were selected using a combination of nonrandom cluster sampling and intra-cluster random sampling stratified by age and gender for cardiovascular disease risk factor surveys. In 2007, 1061 of the selected residents completed a second survey. We analyzed the changes in the prevalence of obesity and abdominal obesity in the middle-aged residents using BMI and waist circumference as indicators. RESULTS: From 1992 to 2007, the BMI, waist circumference, prevalence of obesity and abdominal obesity of this cohort of respondents increased significantly (P < 0.05). The 2007 survey found significant higher BMI, waist circumference, and prevalence of obesity and abdominal obesity in the residents of 50-64 years old than those with the same age in 1992 (P < 0.05). The female respondents had consistently greater standardized prevalence of obesity and abdominal obesity than their male counterparts except for the abdominal obesity in the 2007 survey. CONCLUSION: Both prevalence of obesity and abdominal obesity are increasing in Chengdu residents, even after adjustment of age.

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OBJECTIVE: To analyze the changes in the prevalence of obesity and abdominal obesity in the middle-aged Chengdu residents during 1992 and 2007. METHODS: In 1992, a cohort of 1365 Chengdu residents were selected using a combination of nonrandom cluster sampling and intra-cluster random sampling stratified by age and gender for cardiovascular disease risk factor surveys. In 2007, 1061 of the selected residents completed a second survey. We analyzed the changes in the prevalence of obesity and abdominal obesity in the middle-aged residents using BMI and waist circumference as indicators. RESULTS: From 1992 to 2007, the BMI, waist circumference, prevalence of obesity and abdominal obesity of this cohort of respondents increased significantly (P < 0.05). The 2007 survey found significant higher BMI, waist circumference, and prevalence of obesity and abdominal obesity in the residents of 50-64 years old than those with the same age in 1992 (P < 0.05). The female respondents had consistently greater standardized prevalence of obesity and abdominal obesity than their male counterparts except for the abdominal obesity in the 2007 survey. CONCLUSION: Both prevalence of obesity and abdominal obesity are increasing in Chengdu residents, even after adjustment of age.

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Available abstract

OBJECTIVE: To analyze the changes in the prevalence of obesity and abdominal obesity in the middle-aged Chengdu residents during 1992 and 2007. METHODS: In 1992, a cohort of 1365 Chengdu residents were selected using a combination of nonrandom cluster sampling and intra-cluster random sampling stratified by age and gender for cardiovascular disease risk factor surveys. In 2007, 1061 of the selected residents completed a second survey. We analyzed the changes in the prevalence of obesity and abdominal obesity in the middle-aged residents using BMI and waist circumference as indicators. RESULTS: From 1992 to 2007, the BMI, waist circumference, prevalence of obesity and abdominal obesity of this cohort of respondents increased significantly (P < 0.05). The 2007 survey found significant higher BMI, waist circumference, and prevalence of obesity and abdominal obesity in the residents of 50-64 years old than those with the same age in 1992 (P < 0.05). The female respondents had consistently greater standardized prevalence of obesity and abdominal obesity than their male counterparts except for the abdominal obesity in the 2007 survey. CONCLUSION: Both prevalence of obesity and abdominal obesity are increasing in Chengdu residents, even after adjustment of age.

Key concepts: Abdominal obesity, Waist, Medicine, Obesity, Cohort, Body mass index, Demography, Circumference

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