Journal of Epidemiology
Online ISSN : 1349-9092
Print ISSN : 0917-5040
ISSN-L : 0917-5040
Original Article
Dynapenic Obesity and Prevalence of Type 2 Diabetes in Middle-Aged Japanese Men
Ryoko KawakamiSusumu S. SawadaI-Min LeeMunehiro MatsushitaYuko GandoTakashi OkamotoKoji TsukamotoMitsuru HiguchiMotohiko MiyachiSteven N. Blair
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Supplementary material

2015 Volume 25 Issue 10 Pages 656-662

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Abstract

Background: The independent and combined associations of muscle strength and obesity on the prevalence of type 2 diabetes in Japanese men remain unclear.
Methods: Hand grip strength was cross-sectionally evaluated between 2011 and 2013 to assess muscle strength in 5039 male workers aged 40 to 64 years. Weight and height were measured, and overweight/obesity was defined as a body mass index ≥25 kg/m2. The prevalence of type 2 diabetes, defined as fasting plasma glucose ≥126 mg/dL and/or hemoglobin A1c ≥6.5% and/or self-reported physician-diagnosed diabetes, was evaluated. Odds ratios (OR) and 95% confidence intervals (95% CI) for the prevalence of type 2 diabetes were obtained using a logistic regression model.
Results: In total, 611 participants had type 2 diabetes, and 1763 participants were overweight/obese. After adjustment for covariates, we found an inverse association between muscle strength and the prevalence of type 2 diabetes (P for trend <0.01). In addition, when the analyses were stratified by obesity status, the multivariable-adjusted OR per 2-standard-deviation increase in muscle strength was 0.64 (95% CI, 0.49–0.83) in the overweight/obese group, compared to a weaker relationship in the normal-weight group (OR 0.79 per 2-standard-deviation increase; 95% CI, 0.60–1.06).
Conclusions: Dynapenia, an age-related decrease in muscle strength, is associated with increased prevalence of type 2 diabetes, and this relationship is stronger in overweight/obese middle-aged Japanese men than in normal-weight men.

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© 2015 Ryoko Kawakami et al. This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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