Abernethy David, Bennie Jason, Pavey Toby
School of Exercise and Nutrition Science, Queensland University of Technology, Brisbane, Queensland, Australia.
Murrumbidgee Primary Health Network, Wagga Wagga, New South Wales, Australia.
J Diabetes Res. 2025 Mar 8;2025:7466757. doi: 10.1155/jdr/7466757. eCollection 2025.
To investigate the joint effects of physical activity (PA) and body mass index (BMI) on prevalent diabetes mellitus in a nationally representative sample of US adults. Data were pooled from five US Behavioral Risk Factor Surveillance System (BRFSS) surveys from 2011 to 2019. Cross-sectional associations between independent and combined PA and BMI status and diabetes were analysed using Poisson's log-linear regression with a robust-error variance, reported by adjusted prevalence ratios (APRs). These models were adjusted for relevant sociodemographic, behavioral, and health-related factors. Data was available for 1,913,732 individuals (≥ 18 years). Considering individuals highly active and with normal weight as the reference group, there was an association between decreasing levels of PA and increasing BMI and diabetes prevalence. APRs ranged from APR = 1.09 (nonactive, normal weight group; 95% CI = 1.09-1.09), 1.67 (nonactive, overweight group; 95% CI = 1.67-1.67), 2.23 (nonactive, Class I obesity group; 95% CI = 2.23-2.23), 2.71 (nonactive, Class II obesity group; 95% CI = 2.71-2.71), and 3.17 (nonactive, Class III obesity group; 95% CI = 3.16-3.17). BMI appears to be a substantially larger predictor of diabetes compared to PA in a large population-level sample of US adults. PA provided modest reductions in the prevalence of diabetes but did not attenuate the detrimental impact of overweight and increasing levels of obesity on diabetes prevalence.
在美国成年人具有全国代表性的样本中，研究身体活动（PA）和体重指数（BMI）对糖尿病患病率的联合影响。数据来自2011年至2019年美国五项行为风险因素监测系统（BRFSS）调查的汇总。使用具有稳健误差方差的泊松对数线性回归分析独立及综合的PA和BMI状态与糖尿病之间的横断面关联，以调整患病率比（APR）报告。这些模型针对相关的社会人口统计学、行为和健康相关因素进行了调整。有1,913,732名个体（≥18岁）的数据可用。以高度活跃且体重正常的个体作为参照组，PA水平降低、BMI升高与糖尿病患病率之间存在关联。APR范围从APR = 1.09（不活动、体重正常组；95%可信区间 = 1.09 - 1.09）、1.67（不活动、超重组；95%可信区间 = 1.67 - 1.67）、2.23（不活动、I类肥胖组；95%可信区间 = 2.23 - 2.23）、2.71（不活动、II类肥胖组；95%可信区间 = 2.71 - 2.71）和3.17（不活动、III类肥胖组；95%可信区间 = 3.16 - 3.17）。在一大群美国成年人的样本中，与PA相比，BMI似乎是糖尿病的一个大得多的预测指标。PA使糖尿病患病率适度降低，但并未减弱超重和肥胖程度增加对糖尿病患病率的有害影响。
