Conference Abstract | Volume 8, Abstract NACNDC/19JASH012 (Poster A28) | Published: 18 Nov 2025
David Lubogo1,&, Henry Wamani1, Roy William Mayega2, Gerald Mutungi3, Ronald Sennyonga2, Christopher Garimoi Orach1
1Department of Community Health and Behavioural Sciences, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda, 2Department of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda, 3Department of Non-Communicable Diseases Prevention and Control, Ministry of Health, Kampala, Uganda
&Corresponding author: David Lubogo, Department of Community Health and Behavioural Sciences, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda, Email: dlubogo@musph.ac.ug
Received: 20 Oct 2025 Accepted: 20 Oct 2025 Published: 18 Nov 2025
Domain: Non-Communicable Disease Epidemiology
Keywords: Metabolic syndrome, females, reproductive age
©David Lubogo et al. Journal of Interventional Epidemiology and Public Health (ISSN: 2664-2824). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article: David Lubogo et al., Metabolic syndrome and associated factors among females of reproductive age in Wakiso district, central Uganda: A cross-sectional study. Journal of Interventional Epidemiology and Public Health. 2025;8(ConfProc6):012. https://doi.org/10.37432/JIEPH-CONFPRO6-00012
Metabolic syndrome (MetS) is increasingly prevalent in sub-Saharan Africa. It disproportionately affects females of reproductive age and contributes to adverse maternal and perinatal outcomes. This study assessed the prevalence of metabolic syndrome and associated factors among females of reproductive age in Wakiso district, central Uganda, to inform policy.
A community-based cross-sectional study was conducted among 697 women of reproductive age in Wakiso district, using a three-stage sampling method at cluster/enumeration area, household and individual levels. Quantitative data were collected using a structured questionnaire on sociodemographic, behavioural risk, physical, and biochemical factors. MetS was defined by the Joint Interim Statement criterion. Analysis was by modified Poisson regression, obtain crude and adjusted prevalence ratios associated with MetS with 95% confidence intervals (CI) and a p-value of < 0.05 considered statistically significant. All results were weighted based on sampling probabilities.
18.7% of women of reproductive age in Wakiso district are affected by metabolic syndrome. Overweight and obese women were more likely to have metabolic syndrome, while women who breastfed their most recent baby were less likely to have metabolic syndrome. These findings highlight the need for community-based interventions that promote breastfeeding, healthy nutrition, and physical activity to manage overweight and obesity and reduce MetS among reproductive-age women in Uganda.
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