Sensitivity and specificity of the body mass index to assess low percent body fat in African women

Citation
A. Gartner et al., Sensitivity and specificity of the body mass index to assess low percent body fat in African women, AM J HUM B, 12(1), 2000, pp. 25-31
Citations number
24
Categorie Soggetti
Sociology & Antropology","Medical Research General Topics
Journal title
AMERICAN JOURNAL OF HUMAN BIOLOGY
ISSN journal
10420533 → ACNP
Volume
12
Issue
1
Year of publication
2000
Pages
25 - 31
Database
ISI
SICI code
1042-0533(200001/02)12:1<25:SASOTB>2.0.ZU;2-A
Abstract
The objective of this study was to evaluate the ability of the body mass in dex (BMI, kg/m(2)) to reflect low percent body fat (%BF) in a population wi th a rather mild but widespread prevalence of low BMI. A sample of 586 wome n was studied in the Plateau Koukouya, a rural area of the Republic of Cong o, Central Africa. Percent BF was estimated from bioelectrical impedance (B IA). BIA parameters were assumed to reflect lean body mass. The correlation between %BF and BMI was high (r = 0.84; P < 0.001). Low %BF or low BIA par ameters were defined as the first quartile of the distribution. Sensitivity , specificity, positive and negative predictive value of BMI <18.5, an acce pted international cutoff for thinness, in relation to %BF was 58.5%, 93.6% , 75.4%, and 87.1%, respectively. A continuous sensitivity/specificity anal ysis (receiver operator characteristic [ROC] curves) for characterizing low %BF or low BIA parameters was done for a large range of BMI values. ROC cu rve analysis for %BF suggested that an acceptable trade-off between sensiti vity (89.8%) and specificity (77.9%) occurred at a BMI of 19.7 kg/m(2). How ever, the positive predictive value was low (57.6%). For the prediction of low BIA parameters, results were similar, showing moderate sensitivity and high specificity for BMI <18.5, a cutoff point of BMI = 19.6, and low posit ive predictive values (<48%). The data suggest that BMI was not a good pred ictor of low %BF. This is consistent with the assumption of a decrease in b oth fat and fat free body mass in cases of low BMI. (C) 2000 Wiley-Liss, In c.