Shehzad Farrukh, Hussain Waqas Ghulam, Akbar Atif
The Islamia University of Bahawalpur, Pakistan.
Bahauddin Zakariya University, Multan, Pakistan.
Sage Open Aging. 2025 Aug 8;11:30495334251361319. doi: 10.1177/30495334251361319. eCollection 2025 Jan-Dec.
This study evaluates the impact of the recently developed BSSI on diabetic adults in Pakistan. A comparative analysis was conducted between BSSI, body mass index (BMI), and body surface area (BSA) to assess the performance of BSSI and identify ideal measures that can accurately predict the incidence of diabetes in Pakistani adults. The research is based on a cross-sectional dataset collected from 1,928 individuals in Pakistan over 2-years. Pregnant women were excluded from the study, and all participants aged 20 years or older, including both males and females, were included and provided required information. Quantile regression curve analyses were employed to investigate the projecting influence of baseline BSSI, BSA, and BMI on the development of Type-2 diabetes. The findings revealed that during the follow-up period, 511 new cases of Type-2 diabetes emerged. The results suggest that BSSI is the most effective measure for predicting Type-2 diabetes in males, as evidenced by quantile regression curve analyses. In contrast, for women, the predictive abilities of BSSI and BMI are similar and superior to those of BSA. For both sex, BSA was found to be the weakest factor. Notably, BSSI and BMI emerged as the best predictors of Type-2 diabetes, while BSA was identified as the weakest measure for assessing diabetes in adults.
本研究评估了最近开发的身体表面积指数（BSSI）对巴基斯坦成年糖尿病患者的影响。对BSSI、体重指数（BMI）和体表面积（BSA）进行了比较分析，以评估BSSI的性能，并确定能够准确预测巴基斯坦成年人糖尿病发病率的理想指标。该研究基于在两年内从巴基斯坦1928名个体收集的横断面数据集。孕妇被排除在研究之外，所有年龄在20岁及以上的参与者，包括男性和女性，均被纳入研究并提供所需信息。采用分位数回归曲线分析来研究基线BSSI、BSA和BMI对2型糖尿病发展的预测影响。研究结果显示，在随访期间，出现了511例新的2型糖尿病病例。结果表明，分位数回归曲线分析表明，BSSI是预测男性2型糖尿病最有效的指标。相比之下，对于女性，BSSI和BMI的预测能力相似且优于BSA。对于两性而言，BSA是最薄弱的因素。值得注意的是，BSSI和BMI是2型糖尿病的最佳预测指标，而BSA被确定为评估成年人糖尿病最薄弱的指标。
