Papier Keren, D'Este Catherine, Bain Chris, Banwell Cathy, Seubsman Sam-Ang, Sleigh Adrian, Jordan Susan
National Centre for Epidemiology and Population Health (NCEPH) and Department of Global Health, Research School of Population Health, College of Medicine, Biology and Environment, The Australian National University, Canberra, Australia.
Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
BMC Public Health. 2017 Sep 15;17(1):707. doi: 10.1186/s12889-017-4708-7.
Body mass index (BMI) cut-off values (>25 and >30) that predict diabetes risk have been well validated in Caucasian populations but less so in Asian populations. We aimed to determine the BMI threshold associated with increased type 2 diabetes (T2DM) risk and to calculate the proportion of T2DM cases attributable to overweight and obesity in the Thai population.
Participants were those from the Thai Cohort Study who were diabetes-free in 2005 and were followed-up in 2009 and 2013 (n = 39,021). We used multivariable logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the BMI-T2DM association. We modelled non-linear associations using restricted cubic splines. We estimated population attributable fractions (PAF) and the number of T2DM incident cases attributed to overweight and obesity. We also calculated the impact of reducing the prevalence of overweight and obesity on T2DM incidence in the Thai population.
Non-linear modelling indicated that the points of inflection where the BMI-T2DM association became statistically significant compared to a reference of 20.00 kg/m were 21.60 (OR = 1.27, 95% CI 1.00-1.61) and 20.03 (OR = 1.02, 95% CI 1.02-1.03) for men and women, respectively. Approximately two-thirds of T2DM cases in Thai adults could be attributed to overweight and obesity. Annually, if prevalent obesity was 5% lower, ~13,000 cases of T2DM might be prevented in the Thai population.
A BMI cut-point of 22 kg/m, one point lower than the current 23 kg/m, would be justified for defining T2DM risk in Thai adults. Lowering obesity prevalence would greatly reduce T2DM incidence.
预测糖尿病风险的体重指数(BMI)临界值(>25和>30)在白种人群体中已得到充分验证,但在亚洲人群体中验证较少。我们旨在确定与2型糖尿病(T2DM)风险增加相关的BMI阈值,并计算泰国人群中可归因于超重和肥胖的T2DM病例比例。
参与者来自泰国队列研究,于2005年未患糖尿病,并于2009年和2013年进行随访(n = 39,021)。我们使用多变量逻辑回归来估计BMI与T2DM关联的比值比(OR)和95%置信区间(CI)。我们使用受限立方样条对非线性关联进行建模。我们估计人群归因分数(PAF)以及可归因于超重和肥胖的T2DM新发病例数。我们还计算了降低超重和肥胖患病率对泰国人群T2DM发病率的影响。
非线性建模表明,与参考值20.00 kg/m²相比,BMI与T2DM关联具有统计学意义的拐点,男性为21.60(OR = 1.27,95% CI 1.00 - 1.61),女性为20.03(OR = 1.02,95% CI 1.02 - 1.03)。泰国成年人中约三分之二的T2DM病例可归因于超重和肥胖。每年,如果肥胖患病率降低5%,泰国人群中可能预防约13,000例T2DM病例。
对于定义泰国成年人的T2DM风险,BMI切点为22 kg/m²(比当前的23 kg/m²低1个点)是合理的。降低肥胖患病率将大大降低T2DM发病率。