Evidence map›Paper›PMID 40621542›Full record

ArticlePakistan journal of medical sciences2025

Comparison of body adiposity index and body mass index for assessment of body fat percentage among office workers: A validation study.

Ramsha Habib, Syed Fawad Mashhadi, Ayesha Javed, Mommana Ali Rathore

Abstract read
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Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ramsha HabibRamsha Habib, MBBS, MPhil Department of Community Medicine/Public Health, Army Medical College, National University of Medical Sciences, Rawalpindi, Pakistan.
Syed Fawad MashhadiSyed Fawad Mashhadi, MBBS, MPH, MCPS, MPhil, Ph.D Professor/ Head of Department of Community Medicine/Public Health, Army Medical College, National University of Medical Sciences, Rawalpindi, Pakistan.
Ayesha JavedAyesha Javed, MBBS, MPhil, Department of Community Medicine/Public Health, Army Medical College, National University of Medical Sciences, Rawalpindi, Pakistan.
Mommana Ali RathoreMommana Ali Rathore, MBBS, PGD(nut), MPhil, CHPE, Department of Community Medicine/Public Health, Army Medical College, National University of Medical Sciences, Rawalpindi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the diagnostic accuracy of Body Mass Index (BMI) and Body Adiposity Index (BAI) in assessing body fat percentage among office workers. Methods: This validation study was carried out among office workers in WAPDA center offices of three districts (Abbottabad, Haripur and Mansehra) in Hazara division of Khyber Pakhtunkhwa province from July 2024 to December 2024.Two stage probability sampling was used to select the sample. Data were collected regarding sociodemographics, anthropometric measures, behavioural factors and body fat percentage was obtained through bioimpedance analysis. BMI and BAI were calculated and compared to body fat percentage derived from bioimpedance analysis (reference method). Results: Overall BAI showed better sensitivity of 81% (95%CI =70.6% - 88.9%) than BMI. ROC analysis showed greater AUC value of 0.85 (95% CI=0.79-0.91) in males and 0.97(95% CI=0.95-0.99) in females as compared to BMI (p < 0.05).Multiple linear regression showed age, weight and hip circumference to be positively associated with body fat percent (B values being 0.19, 0.28 and 0.33 respectively) while height, gender and physical activity were negatively associated with body fat percentage (B values -0.38,-0.43 and -0.26 respectively) (p<0.05). Conclusions: BAI is a better predictor of body fat as compared to BMI among office workers and can replace BMI as a screening tool to measure body fat in community settings.

Indexed as

Bioimpedance analysisBody adiposity indexBody fat percentageBody mass indexObesityOffice workers

Identifiers

PMID40621542
PMCPMC12223724

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.