Evidence map›Paper›PMID 40321457›Full record

ArticleObesity science & practice2025

Determining Body Composition-Based BMI Cut-Offs for Ethiopian Adults in Northwest Ethiopia: A Population-Based Cross-Sectional Study.

Mekonnen Assefa, Aster Tsegaye, Adamu Addissie, Alemayehu Worku

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Article in Obesity science & practice, 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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5 · Who and what money

Authors and funding

4 authors.

Mekonnen AssefaPublic Health Department College of Medicine and Health Science Debre Tabor University Debre Tabor Ethiopia.ORCID https://orcid.org/0000-0003-2603-2003
Aster TsegayeDepartment of Medical Laboratory Science, Immunohematology Unit College of Health Sciences Addis Ababa University Addis Ababa Ethiopia.
Adamu AddissieDepartment of Preventive Medicine College of Health Sciences School of Public Health Addis Ababa University Addis Ababa Ethiopia.
Alemayehu WorkuDepartment of Preventive Medicine College of Health Sciences School of Public Health Addis Ababa University Addis Ababa Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Body mass index (BMI) is widely used as a population-level measure of obesity, given its robustness and inclusion in health surveys. However, for Ethiopians, the applicability of universally recognized anthropometric cutoffs may be inadequate. This study aimed to determine body composition-based BMI cutoffs for the healthy adult population of Ethiopia. Method: A population-based cross-sectional study was conducted in the Amhara region of Ethiopia from June to August 2023, collecting anthropometric data and body fat percentage from 838 adult participants. The body fat percentage was measured using the Omron Body Composition Monitor and Scale, which utilizes the bioelectrical impedance analysis (BIA) method to estimate various body measurements. Data were analyzed using Stata and MedCalc software. BMI cutoff values were determined using the receiver operating characteristics (ROC) analysis, and performance was assessed using area under the curve (AUC), Youden index, sensitivity, and specificity. Results: The optimal BMI cutoff values for defining obesity were 24.8 kg/m Conclusion: The identified BMI cutoff values for Ethiopians were lower than international standards. Adopting these country-specific cutoffs would be more appropriate for clinical practice and research in Ethiopia.

Indexed as

BMI cutoffsbody compositioncross‐sectional studyEthiopian adultspopulation‐based

Identifiers

PMID40321457
PMCPMC12047209

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