Burden and factors associated with body fat and visceral obesity among adults attending referral hospitals in Douala, Cameroon

Although body mass index (BMI) is widely used to classify obesity, it does not distinguish adiposity from lean mass or provide information on fat distribution. Bioelectrical impedance analysis (BIA)-derived body fat (BF) and visceral fat (VF) measurements may offer complementary information for identifying individuals at increased cardiometabolic risk. We analyzed the prevalence and associated factors of BIA-based adipose obesity during the COVID-19 pandemic in Cameroonian individuals. The overall prevalence of obesity was 27.1%, 46.2%, and 28.8% using BMI, BF, and VF, respectively. Discrepancies were noted between BMI, BF, and VF for identifying obese people. The strongest risk factors of BF-related obesity were BMI ≥ 30 Kg.m − 2 (aOR = 25.32, p < 0.0001) and university level (aOR = 3.97, p = 0.02), while being male (aOR = 4.68, p < 0.0001), advanced age (aOR = 2.01 to 3.25, p < 0.05), university level (aOR = 4.14, p = 0.04), and BMI ≥ 30 Kg.m − 2 (aOR = 4.38, p < 0.0001) were the strongest risk factors for high VF levels. This study outlined a high burden of adipose obesity and the need to implement preventive strategies to reduce its burden in Douala.

Authors

Institutions

Publication Details

Journal
BMC Research Notes
Published
2026-09-11
DOI
https://doi.org/10.1186/s13104-026-08014-y
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Burden and factors associated with body fat and visceral obesity among adults attending referral hospitals in Douala, Cameroon

Idriss Ntatou Lemouchele, Loick Pradel Kojom Foko, Elisée Libert Embolo Enyegue, Arlette Flore Moguem Soubgui et al.
BMC Research Notes
Body Composition Measurement Techniques
article

Burden and factors associated with body fat and visceral obesity among adults attending referral hospitals in Douala, Cameroon

Idriss Ntatou Lemouchele, Loick Pradel Kojom Foko, Elisée Libert Embolo Enyegue, Arlette Flore Moguem Soubgui, Martin Luther Koanga Mogtomo, Jerson Mekoulou Ndongo, Wilfred S. Ndeme Mboussi
article en

Abstract

Although body mass index (BMI) is widely used to classify obesity, it does not distinguish adiposity from lean mass or provide information on fat distribution. Bioelectrical impedance analysis (BIA)-derived body fat (BF) and visceral fat (VF) measurements may offer complementary information for identifying individuals at increased cardiometabolic risk. We analyzed the prevalence and associated factors of BIA-based adipose obesity during the COVID-19 pandemic in Cameroonian individuals. The overall prevalence of obesity was 27.1%, 46.2%, and 28.8% using BMI, BF, and VF, respectively. Discrepancies were noted between BMI, BF, and VF for identifying obese people. The strongest risk factors of BF-related obesity were BMI ≥ 30 Kg.m − 2 (aOR = 25.32, p < 0.0001) and university level (aOR = 3.97, p = 0.02), while being male (aOR = 4.68, p < 0.0001), advanced age (aOR = 2.01 to 3.25, p < 0.05), university level (aOR = 4.14, p = 0.04), and BMI ≥ 30 Kg.m − 2 (aOR = 4.38, p < 0.0001) were the strongest risk factors for high VF levels. This study outlined a high burden of adipose obesity and the need to implement preventive strategies to reduce its burden in Douala.

BMC Research Notes
University of Douala (CM), Ministry of Scientific Research and Innovation (CM)
Good health and well-being
Openalex Percentile: Top 11%
Body Composition Measurement Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.