Department of Public Health, Usha Kundu, MD College of Health, University of West Florida, 11000 University Parkway, Pensacola, FL, 32514, USA.
School of Medicine, University of North Carolina at Chapel-Hill, 211B Cameron Ave, Chapel-Hill, NC, 27516, USA.
BMC Public Health. 2020 Jul 16;20(1):1121. doi: 10.1186/s12889-020-09231-1.
Demographic and anthropometric factors associated with the age at diagnosis of diabetes have not been extensively studied. Much of the literature using anthropometric measures has been associated with other health factors such as obesity and coronary heart disease. The purpose of this study was to assess the relationship between different sets of anthropometric factors and age of diabetes diagnosis in the United States.
Using the NHANES 2015-2016 data set, weighted linear regression analysis was performed on observations from 600 qualified individuals with diabetes to study associations between anthropometric and demographic factors and the age of diabetes diagnosis.
Results of our analysis support the evidence of significant relationships between the anthropometric characteristics and demographic factors and age at diabetes diagnosis. Specifically, age at diagnosis of diabetes is predicted to decrease by 1.03 (p < 0.01) and 0.91 (p < 0.01) years when BMI and upper leg length go up by one unit each, respectively. Similarly, age at diagnosis of diabetes decreases by 0.02 years and by 1.72 years when refrigerated glucose serum increases by 1 mg/dL (p < 0.05) and when household size increases by one person, respectively. Male respondents were diagnosed with diabetes 3.41 years later than their female counterparts. Conversely, age at diagnosis of diabetes increases by 1.24 years when the average sagittal abdominal diameter goes up by 1 cm (p < 0.05). In addition, Mexican American respondents were diagnosed 5.00 years younger than the non-Hispanic White counterparts.
Our findings show that anthropometric factors, including BMI, refrigerated glucose serum and upper leg length increase have an inverse linear association with age of diabetes diagnosis. The results of this study can help improve the efficiency of the methods of health professionals attempting to lower the rate of diabetes diagnoses.
与糖尿病诊断年龄相关的人口统计学和人体测量学因素尚未得到广泛研究。许多使用人体测量学指标的文献都与其他健康因素有关，如肥胖和冠心病。本研究的目的是评估美国不同人体测量学因素与糖尿病诊断年龄之间的关系。
使用 2015-2016 年 NHANES 数据集，对 600 名符合条件的糖尿病患者的观察结果进行加权线性回归分析，研究人体测量学和人口统计学因素与糖尿病诊断年龄之间的关系。
我们的分析结果支持以下证据，即人体测量学特征和人口统计学因素与糖尿病诊断年龄之间存在显著关系。具体来说，当 BMI 和大腿长度各增加一个单位时，糖尿病诊断年龄分别预计会减少 1.03 岁（p<0.01）和 0.91 岁（p<0.01）。同样，当冷藏葡萄糖血清增加 1mg/dL 时，糖尿病诊断年龄减少 0.02 岁，当家庭规模增加一人时，糖尿病诊断年龄减少 1.72 岁（p<0.05）。男性受访者比女性受访者晚 3.41 年被诊断出患有糖尿病。相反，当平均矢状腹径增加 1 厘米时，糖尿病诊断年龄增加 1.24 岁（p<0.05）。此外，墨西哥裔美国人的诊断年龄比非西班牙裔白人年轻 5 岁。
我们的研究结果表明，包括 BMI、冷藏葡萄糖血清和大腿长度在内的人体测量学因素与糖尿病诊断年龄呈负线性关系。本研究的结果有助于提高健康专业人员试图降低糖尿病诊断率的方法的效率。
