Tian Tian, Pei Hualian, Chen Zhen, Hailili Gulisiya, Wang Shuxia, Sun Yong, Yao Hua, Jianghong Dai
School of Public Health, Xinjiang Medical University, Urumqi, China.
School of Health Management, Xinjiang Medical University, Urumqi, China.
PeerJ. 2020 Feb 10;8:e8483. doi: 10.7717/peerj.8483. eCollection 2020.
We aimed to assess if lipid accumulation product (LAP) could outperform body mass index (BMI) as a marker for diabetes diagnosis.
We analyzed the results of a national physical examination project in Urumqi, China. This project was conducted in 442 community clinics in Urumqi from October 2016 to February 2017.
LAP was highly correlated with diabetes. The subjects with higher amounts of LAP had a higher risk of diabetes, and the prevalence of diabetes in the fourth quartile of LAP was dramatically higher than in the first quartile (5.72% vs. 21.76%). The adjusted odds ratios (AOR) associated with diabetes in the fourth quartile of LAP was significantly higher than the AOR associated with diabetes in the first quartile, and when BMI ≥ 28 kg/m was compared with BMI < 28 kg/m (3.24 (3.11, 3.37) vs. 1.65 (1.60, 1.70)). The LAP's area under the curve (AUC) was significantly higher than the BMI's AUC when based on diabetes (0.655 vs. 0.604). In the normal BMI group, 34% of participants had a LAP value higher than the cutoff point found during ROC analysis. In this subgroup, we observed a significantly higher prevalence of diabetes that was similar to that of the subgroup with a BMI ≥ 28 kg/m, and both of their LAP values were higher than the cutoff point.
When use as a tool for diabetes diagnosis, LAP performed better than BMI, implying that LAP could be a preferable anthropometry assessment.
我们旨在评估脂质蓄积产物(LAP)作为糖尿病诊断标志物是否优于体重指数(BMI)。
我们分析了中国乌鲁木齐一项全国性体检项目的结果。该项目于2016年10月至2017年2月在乌鲁木齐的442家社区诊所开展。
LAP与糖尿病高度相关。LAP含量较高的受试者患糖尿病的风险更高,LAP第四四分位数组的糖尿病患病率显著高于第一四分位数组(5.72%对21.76%)。LAP第四四分位数组与糖尿病相关的校正比值比(AOR)显著高于第一四分位数组与糖尿病相关的AOR,且当BMI≥28kg/m²与BMI<28kg/m²相比较时(3.24(3.11,3.37)对1.65(1.60,1.70))。基于糖尿病时,LAP的曲线下面积(AUC)显著高于BMI的AUC(0.655对0.604)。在正常BMI组中,34%的参与者LAP值高于ROC分析中确定的切点。在该亚组中,我们观察到糖尿病患病率显著更高,与BMI≥28kg/m²的亚组相似,且这两个亚组的LAP值均高于切点。
当用作糖尿病诊断工具时,LAP的表现优于BMI,这意味着LAP可能是一种更优的人体测量学评估指标。