Abstract:
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 sexes, 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.
Keywords: Integrated Obesity Measures, Body Surface Area, Body Shape and Size Index, Body Mass Index, Quantile Regression and Diabetes
Biography:
Dr. Waqas Ghulam Hussain, a Lecturer in Statistics at Govt. Associate College (Boys), Tiba Sultanpur, Tehsil Mailsi, District Vehari, Pakistan. I hold a Ph.D. in Statistics from The Islamia University Bahawalpur, he was awarded in 2024 with a CGPA of 3.88 out of 4.00. Prior to that, he earned M.Phil. in Statistics from Bahauddin Zakariya University, Multan, in 2018, where he was honored as a Silver Medalist with a CGPA of 3.76. I also completed my B.S. in Statistics from the same university in 2016, graduating as a Gold Medalist with a CGPA of 3.91.
Waqas Ghulam Hussain have extensive research experience, with numerous publications focusing on topics such as quantile regression, growth charts, anthropometric measurements, and statistical modeling related to human health and development. his work has been published in reputable journals including Sage Journals, Juniper Publishers, and others. Currently, he serve as a reviewer and editorial board member for several international journals, including the Journal of Medical Internet Research (Canada), Baishideng Publishing Group (USA), and Science Publishing Group (USA).
His professional experience includes teaching at various colleges and taking on administrative roles such as Assistant Director in the Higher Education Department of South Punjab. he have participated in numerous capacity-building trainings and international webinars to enhance my expertise in statistical analysis, healthcare research, and academic leadership. He is proficient in statistical software such as R, SPSS, Stata, Minitab, and Eviews, and he also have skills in programming languages like Python. He is fluent in English, Urdu, Punjabi, and Saraiki. Waqas Ghulam Hussain dedication to research and teaching reflects his strong commitment to advancing knowledge in biostatistics, human growth analysis, and related fields.
