Epidemiology of Metabolic Syndrome among Adult Nigerians in a Rural Hospital in Eastern Nigeria
Science Journal of Public Health
Volume 2, Issue 2, March 2014, Pages: 135-143
Received: Mar. 20, 2014;
Accepted: Apr. 8, 2014;
Published: Apr. 10, 2014
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Gabriel Uche Pascal Iloh, Department of Family Medicine, Federal Medical Centre, Umuahia, Abia state, Nigeria
Godwin Oguejiofor Chukwuebuka Okafor, Department of Community Medicine, Federal Medical Centre, Umuahia, Abia state, Nigeria
Agwu NkwaAmadi, Department of Public Health Technology, Federal University of Technology, Owerri, Imo state, Nigeria
Background: Biological and socio-behavioural variations exist in the epidemiology of metabolic syndrome (MetS). As the case detection of MetS increases in Nigeria describing its prevalence and risk factors remain relevant for proactive control interventions. Aim: This study was designed to describe the epidemiology of MetS among adult Nigerians in a rural hospital in Eastern Nigeria. Materials and Methods: A cross sectional study was carried out on 365 adult patients who were screened for MetS using International Diabetes Federation(IDF) criteria: An Individual was considered to have MetS in the presence of WC ≥94 cm for men and ≥80 cm for women plus any two or more of the following: systolic and/or diastolic blood pressure ≥130/85 mmHg and/or hypertension on treatment; fasting blood glucose ≥ 100mg/dL and/or diabetes mellitus on treatment; triglyceride level ≥150 mg/dL and/or hypertriglyceridaemia on treatment and high density lipoprotein(HDL-C) cholesterol <40mg/dL for men or <50 mg/dL for women and/or HDL-C dyslipidaemia on treatment. The data collected included basic demographic variables, metabolic and nutri-behavioural risk factors. Results: The prevalence of MetS was 34.0%. MetS was significantly associated with old age(p=0.029), female sex(p=0.016) and physical inactivity(p=0.002). The most significant predictor of MetS was physical inactivity.(p=0.014, OR=4.58(1.52-9.63). The patients with MetS were four and half times more likely to be physically inactive compared to their non-MetS counterparts. Conclusion: This study has shown that MetS exist among the study population. The risk factors significantly associated with MetS were old age, female sex and physical inactivity. The most significant predictor variable was physical inactivity. Early primary and secondary prevention interventions should be a compelling health priority in the study area.
Gabriel Uche Pascal Iloh,
Godwin Oguejiofor Chukwuebuka Okafor,
Epidemiology of Metabolic Syndrome among Adult Nigerians in a Rural Hospital in Eastern Nigeria, Science Journal of Public Health.
Vol. 2, No. 2,
2014, pp. 135-143.
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