Prevalence and clustering of selected cardiometabolic risk factors among primary school teachers in a municipality in Ghana

Workplace-based health assessment may identify cardiometabolic abnormalities in low-resource settings where metabolic testing may be limited. Teachers constitute an important occupational group in sub-Saharan Africa, yet evidence on clustering of cardiometabolic risk factors remains limited. This study assessed the prevalence and clustering of selected cardiometabolic risk factors among participants from selected schools in a Ghanaian municipality. This cross-sectional study included 166 primary school teachers. Three risk components were assessed: elevated blood pressure (SBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg), overweight/obesity (BMI ≥ 25 kg/m²), and elevated fasting glucose (≥ 7.0 mmol/L). Clustering was defined as the presence of two or more components and was not intended to represent metabolic syndrome. Firth penalized logistic regression examined the association between elevated waist-to-hip ratio (WHR) and clustering after adjustment for age, sex, alcohol use, and family metabolic risk. A sensitivity analysis excluded BMI from the clustered-risk definition. Clustering of selected cardiometabolic risk factors was observed in 15.1% of participants. Elevated blood pressure, overweight/obesity, and elevated fasting glucose were present in 30.1%, 23.5%, and 13.9%, respectively. Participants with clustering were older and had higher WHR. Elevated WHR was associated with higher odds of clustering in the adjusted model (adjusted OR = 4.49, 95% CI: 1.53–13.15, p = 0.006), and the association persisted after excluding BMI from the clustered-risk definition. Clustering of selected cardiometabolic risk factors was observed in 15.1% of participants. Elevated WHR was associated with clustering and may represent an anthropometric marker requiring further evaluation in workplace-based cardiometabolic health assessment.

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Journal
Discover Public Health
Published
2026-10-16
DOI
https://doi.org/10.1186/s12982-026-03186-1
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
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article
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article

Prevalence and clustering of selected cardiometabolic risk factors among primary school teachers in a municipality in Ghana

Daniel Oppong Mensah, Isaac Amoah, Victor Owusu Mensah, Yenuban T. Kombat¹ et al.
Discover Public Health
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Prevalence and clustering of selected cardiometabolic risk factors among primary school teachers in a municipality in Ghana

Daniel Oppong Mensah, Isaac Amoah, Victor Owusu Mensah, Yenuban T. Kombat¹, Priscilla H. Mensah
article en

Abstract

Workplace-based health assessment may identify cardiometabolic abnormalities in low-resource settings where metabolic testing may be limited. Teachers constitute an important occupational group in sub-Saharan Africa, yet evidence on clustering of cardiometabolic risk factors remains limited. This study assessed the prevalence and clustering of selected cardiometabolic risk factors among participants from selected schools in a Ghanaian municipality. This cross-sectional study included 166 primary school teachers. Three risk components were assessed: elevated blood pressure (SBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg), overweight/obesity (BMI ≥ 25 kg/m²), and elevated fasting glucose (≥ 7.0 mmol/L). Clustering was defined as the presence of two or more components and was not intended to represent metabolic syndrome. Firth penalized logistic regression examined the association between elevated waist-to-hip ratio (WHR) and clustering after adjustment for age, sex, alcohol use, and family metabolic risk. A sensitivity analysis excluded BMI from the clustered-risk definition. Clustering of selected cardiometabolic risk factors was observed in 15.1% of participants. Elevated blood pressure, overweight/obesity, and elevated fasting glucose were present in 30.1%, 23.5%, and 13.9%, respectively. Participants with clustering were older and had higher WHR. Elevated WHR was associated with higher odds of clustering in the adjusted model (adjusted OR = 4.49, 95% CI: 1.53–13.15, p = 0.006), and the association persisted after excluding BMI from the clustered-risk definition. Clustering of selected cardiometabolic risk factors was observed in 15.1% of participants. Elevated WHR was associated with clustering and may represent an anthropometric marker requiring further evaluation in workplace-based cardiometabolic health assessment.

Discover Public HealthVol. 23(1)
Kwame Nkrumah University of Science and Technology (GH)
Good health and well-being
Openalex Percentile: Top 11%
Diabetes, Cardiovascular Risks, and Lipoproteins
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