%A Misra, P
%A Singh, A
%A Archana, S
%A Lohiya, A
%A Kant, S
%T Relationship between body mass index and percentage of body fat, estimated by bio-electrical impedance among adult females in a rural community of North India: A cross-sectional study
%9 Original Article
%D 2019
%J Journal of Postgraduate Medicine
%R 10.4103/jpgm.JPGM_218_18
%P 134-140
%V 65
%N 3
%U http://www.jpgmonline.com/article.asp?issn=0022-3859;year=2019;volume=65;issue=3;spage=134;epage=140;aulast=Misra
%8 July 1, 2019
%X
**Introduction:** Body adiposity measured by percentage of body fat (BF%) is found to be better predictor of cardiovascular morbidity and mortality than body mass index (BMI). Limited information exists showing relationship between BMI and BF% in North Indian population. **Objectives:** To study the relationship between BMI and BF% among North Indian adult females across various age strata and level of BMI. **Materials and Methods:** This was a cross-sectional study conducted at Ballabgarh Health and Demographic Surveillance Site (HDSS) among randomly selected females. BMI using standard techniques and BF% using bioelectrical impedance analysis was estimated. Linear regression was performed using general linear model with BF% as dependent variable and BMI as main independent variable. **Results:** Mean (±2 SD) age of participants was 41.3 ± 15.7 years. Mean BMI (±SD) was 23.3 (±4.6) kg/m^{2}, whereas mean fat mass (±2 SD) and BF% (±95% CI) was 19.2 (±7.9) kg and 33.6 (±6.9) %. BMI and BF% were highly correlated among obese (*r* = 0.77), whereas least correlated (*r* = 0.32) in underweight females. Across age strata, correlation between BMI and BF% was maximum in 18–35 years age group (*r* = 0.95), whereas least in females ≥56 years (*r* = 0.67). Age and BMI together predicted 73% of variability in BF% in hierarchical linear regression model. **Conclusions:** In this population, we have found strong correlation between BMI and BF% particularly at higher level of BMI and in younger females. There is need to conduct more robust prospective longitudinal studies to assess BF%, which is a better predictor of cardiovascular morbidity and mortality.
%0 Journal Article
%I Wolters Kluwer Medknow Publications
%@ 0022-3859