Determinants of obesity among adults aged 35 to 65 years attending Ssekanyonyi Health Centre IV, Mityana District. A cross-sectional study.

Suzan  Nakubulwa; Hasifa  Nansereko; Jane Frank  Nalubega; Immaculate  Naggulu Posperia; Edith  Akankwasa; Elizabeth  Okello; David  Kavuma

doi:10.51168/sjhrafrica.v6i9.1940

Authors

Suzan Nakubulwa Mildmay Uganda School of Nursing and Midwifery
Hasifa Nansereko Mildmay Uganda School of Nursing and Midwifery
Jane Frank Nalubega Mildmay Uganda School of Nursing and Midwifery
Immaculate Naggulu Posperia Mildmay Uganda School of Nursing and Midwifery
Edith Akankwasa Mildmay Uganda School of Nursing and Midwifery
Elizabeth Okello Mildmay Uganda School of Nursing and Midwifery
David Kavuma Mildmay Uganda School of Nursing and Midwifery

DOI:

https://doi.org/10.51168/sjhrafrica.v6i9.1940

Keywords:

Determinants of Obesity, Ssekanyonyi Health Centre IV, Mityana District

Abstract

Background

In Uganda, the prevalence of obesity among adults has been steadily increasing, reaching an estimated prevalence of 29% in urban areas and 14.3% in rural settings. The purpose of the study was to assess the determinants of obesity among adults aged 35 to 65 years attending Ssekanyonyi Health Centre IV in Mityana District.

Methods

A descriptive cross-sectional study design was used employing quantitative methods of data collection and was conducted in Ssekanyonyi Health Centre IV. In 4 days, 33 adults were selected using a simple sampling method. A structured questionnaire was used to collect data, and it involved closed-ended questions. The data collected was analyzed manually, and the findings were entered into Microsoft Excel 2013, which was then presented in the form of tables, pie-charts, and graphs.

Results

Out of 33 participants, 30.3% were aged 45-49 years, and more than half (58%) were females. For individual determinants, over half (64%) were rarely exercising, more than half (55%) were taking sugary drinks daily, and 85% overate when stressed. Concerning health facility determinants, more than half (58%) health workers could sometimes support them in addressing their weight management issues, all (100%) didn’t have weight management programs and (52%) could wait for a very long time and socio-cultural determinants, (64%) large body size was perceived as a sign of wealth and (94%) had a family history of obesity.

Conclusion

Obesity among adults was driven by poor lifestyle choices, limited healthcare support, cultural perceptions, and genetic predisposition; hence, the need for clear interventions.

Recommendation

Promote regular physical activity, reduce sugary drink intake, establish accessible weight management programs, educate communities on healthy body image, and improve health facility support services.

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