Physical Activity, Adiposity, and Diabetes Risk in Middle-Aged and Older Chinese Population

Li Qin, Eva Corpeleijn, Chaoqiang Jiang*, G. Neil Thomas, C. Mary Schooling, Weisen Zhang, Kar Keung Cheng, Gabriel M. Leung, Ronald P. Stolk, Tai Hing Lam

*Corresponding author for this work

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Abstract

OBJECTIVE- Physical activity may modify the association of adiposity with type 2 diabetes. We investigated the independent and joint association of adiposity and physical activity with fasting plasma glucose, impaired fasting glucose, and type 2 diabetes in a Chinese population.

RESEARCH DESIGN AND METHODS- Middle-aged and older Chinese (n = 28,946, >= 50 years, 72.4%women) from the Guangzhou Biobank Cohort Study were examined in 2003-2008. Multivariable regression was used in a cross-sectional analysis.

RESULTS- BMI, waist circumference, and waist-to-hip ratio (WHR) were positively associated with type 2 diabetes after multiple adjustment, most strongly for WHR with odds ratio (OR) of 3.99 (95% CI 3.60-4.42) for highest compared with lowest tertile. Lack of moderate-to-vigorous physical activity, but not walking, was associated with diabetes with an OR of 1.29 (1.17-1.41.). The association of moderate-to-vigorous activity with fasting glucose varied with WHR tertiles (P = 0.01 for interaction). Within the high WHR tertile, participants who had a lack of moderate-to-vigorous activity had an OR of 3.87 (3.22-4.65) for diabetes, whereas those who were active had an OR of 2.94 (2.41-3.59).

CONCLUSIONS- In this population, WHR was a better measure of adiposity-related diabetes risk than BMI or waist circumference. Higher moderate-to-vigorous activity was associated with lower diabetes risk, especially in abdominally obese individuals.

Original languageEnglish
Pages (from-to)2342-2348
Number of pages7
JournalDiabetes Care
Volume33
Issue number11
DOIs
Publication statusPublished - Nov-2010

Keywords

  • RANDOMIZED CONTROLLED-TRIAL
  • BODY-MASS INDEX
  • INSULIN-RESISTANCE
  • LIFE-STYLE
  • WOMEN
  • MORTALITY
  • GLUCOSE
  • PREVALENCE
  • PREDICTORS
  • OBESITY

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