Body Mass Index versus Other Adiposity Traits: Best Predictor of Cardiometabolic Risk

  • 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
Keywords: Obesity; Body mass index; Waist circumference; Pakistan

Abstract

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.

 

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Published
2019-12-02
How to Cite
1.
SAQLAIN M, AKHTAR Z, KARAMAT R, MUNAWAR S, IQBAL M, FIAZ M, ZAFAR MM, SAEED S, NASIR MF, NAQVI SS, RAJA GK. Body Mass Index versus Other Adiposity Traits: Best Predictor of Cardiometabolic Risk. Iran J Public Health. 48(12):2224-2231.
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Original Article(s)