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JCR 2016
جستجوی مقالات
سه شنبه 18 آذر 1404
Iranian Journal of Public Health
، جلد ۴۸، شماره ۱۲، صفحات ۲۲۲۴-۲۲۳۱
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Body Mass Index versus Other Adiposity Traits: Best Predictor of Cardiometabolic Risk
چکیده انگلیسی مقاله
Abstract Background: A number of anthropometric indices have been used in different world populations as markers to estimate obesity and its related health risks. The present study is large population based study dealing with five anthropometric obesity scales; Body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), basal adiposity index (BAI), and Visceral adiposity index (VAI) to identify common adiposity trait(s) that best predict obesity and associated health complication(s). Methods: A total of 4000 subjects including 1000 in each category of BMI from four provinces (Punjab, Sindh, Kahyber pakhtoonkha and Balochistan) of Pakistan from 2012-2017 were collected. Complete anthropometric measurementswere obtained and blood samples were collected and Biochemical profiling was performed. Descriptive statistics, linear regression, binary and multiple regression analysis was done. Results: Our data analysis explored the relationships of obesity five indices; BMI, WC, WHR, BAI, and VAI with common metabolic health complications. Effect size analysis clearly indicates that a unit increase in BMI significant raised all anthropometric and clinical parameters. General and sex specific association analysis of adiposity traits with risk phenotypes (hypertension, hyperglycemia and dyslipidemia) indicated significant associations of WC with all three metabolic risks. Varying degrees of correlations of other adiposity traits with metabolic risks were observed. Frequency of different obesity classes among obese population group were as follows; 55.7% class I, 28.50% Class II and 15.80% Class III. Conclusion: WC is the strong predictor of obesity associated metabolic health issues in Pakistani populations. While BMI has significant increasing effect on other obesity indices like WHR, VAI and BAI.
کلیدواژههای انگلیسی مقاله
نویسندگان مقاله
| Muhammad SAQLAIN
Department of Biochemistry, PMAS–Arid Agriculture University, Rawalpindi, Pakistan
| Zainab AKHTAR
Department of Biochemistry, PMAS–Arid Agriculture University, Rawalpindi, Pakistan
| Raheela KARAMAT
Department of Biochemistry, PMAS–Arid Agriculture University, Rawalpindi, Pakistan
| Samra MUNAWAR
Department of Biochemistry, PMAS–Arid Agriculture University, Rawalpindi, Pakistan
| Maria IQBAL
Department of Biochemistry, PMAS–Arid Agriculture University, Rawalpindi, Pakistan
| Muhammad FIAZ
Department of Pathology, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan
| Muhammad Mubeen ZAFAR
Department of Biochemistry, PMAS–Arid Agriculture University, Rawalpindi, Pakistan
| Sadia SAEED
Department of Biochemistry, PMAS–Arid Agriculture University, Rawalpindi, Pakistan
| Muhammad Farooq NASIR
Department of Entomology, PMAS–Arid Agriculture University, Rawalpindi, Pakistan
| S.M. Saqlan NAQVI
Department of Biochemistry, PMAS–Arid Agriculture University, Rawalpindi, Pakistan
| Ghazala Kaukab RAJA
Department of Biochemistry, PMAS–Arid Agriculture University, Rawalpindi, Pakistan
نشانی اینترنتی
http://ijph.tums.ac.ir/index.php/ijph/article/view/19074
فایل مقاله
اشکال در دسترسی به فایل - ./files/site1/rds_journals/86/article-86-2087296.pdf
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