Department of Global Health, Center for Global Health and Development, Boston University School of Public Health, Boston, MA, USA.
Department of Sociology, Population Studies Center, University of Pennsylvania, Philadelphia, PA, USA.
Prev Med. 2017 Aug;101:91-95. doi: 10.1016/j.ypmed.2017.05.031. Epub 2017 Jun 1.
We assessed the contribution of increasing adiposity to the rising prevalence of diabetes in the United States over the period 1988-2014.
Data from NHANES III (1988-1994) and continuous waves (1999-2014) were pooled for the current study. Diabetes status was assessed using data on Hemoglobin A1c. We estimated a multivariable logistic regression model that predicted the odds of having diabetes as a function of age, sex, racial/ethnic group, educational attainment, and period of observation. At a second stage, we introduced measures of general and abdominal adiposity into the model. Changes in coefficients pertaining to period of observation between the first and second models were interpreted as indicating the extent to which adiposity can account for trends in the prevalence of diabetes. Sensitivity analyses were conducted to investigate how alternative definitions of adiposity and diabetes status would affect results.
The predicted prevalence of diabetes rose by 2.59%/yr between 1988 and 2014 after adjusting for changes in population composition. Increasing adiposity explained 72% of the rise in diabetes. Results were consistent for men and women.
Rising levels of adiposity explained the large majority of the rise in diabetes prevalence between 1988 and 2014.
我们评估了在 1988 年至 2014 年间,美国肥胖率上升对糖尿病患病率上升的影响。
本研究的数据来自 NHANES III(1988-1994 年)和连续波(1999-2014 年)。糖尿病的状况通过糖化血红蛋白的数据进行评估。我们估计了一个多变量逻辑回归模型,该模型预测了年龄、性别、种族/民族、教育程度和观察期等因素对患糖尿病的几率的影响。在第二阶段,我们将一般和腹部肥胖的测量值引入到模型中。第一和第二模型之间与观察期相关的系数变化可解释为肥胖程度对糖尿病患病率趋势的解释程度。进行了敏感性分析,以调查肥胖和糖尿病状态的替代定义将如何影响结果。
在调整人口构成变化后,1988 年至 2014 年间,糖尿病的预测患病率每年上升 2.59%。肥胖程度的增加解释了糖尿病发病率上升的 72%。男性和女性的结果一致。
肥胖程度的上升解释了 1988 年至 2014 年间糖尿病患病率上升的绝大多数原因。