Prevalence and Predictors of Metabolic Syndrome among Adults in North-Central, Nigeria.
Autor: | Osunkwo D; National Hospital, Abuja, Nigeria.; African Field Epidemiology Network, Nigeria Country Office, Abuja, Nigeria., Mohammed A; Federal Ministry of Health, Abuja, Nigeria.; Jos University Teaching Hospital, Jos, Plateau State, Nigeria., Kamateeka M; African Field Epidemiology Network, Nigeria Country Office, Abuja, Nigeria., Nguku P; African Field Epidemiology Network, Nigeria Country Office, Abuja, Nigeria., Umeokonkwo CD; African Field Epidemiology Network, Nigeria Country Office, Abuja, Nigeria.; Alex Ekwueme Federal University Teaching Hospital Abakaliki, Nigeria., Abolade OS; National Bureau of Statistics, Abuja Nigeria., Ibrahim M; Ahmadu Bello University, Zaria, Kaduna State, Nigeria., Ibrahim K; Jos University Teaching Hospital, Jos, Plateau State, Nigeria., Nwokeukwu H; Federal Medical Centre, Umuahia, Nigeria., Zoakah AI; Jos University Teaching Hospital, Jos, Plateau State, Nigeria. |
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Jazyk: | angličtina |
Zdroj: | West African journal of medicine [West Afr J Med] 2022 Apr 29; Vol. 39 (4), pp. 375-380. |
Abstrakt: | Background: Metabolic syndrome contributes to the burden of non-communicable diseases and is a growing public health problem in both developed and developing countries. We determined the prevalence and predictors of metabolic syndrome among adults in Benue State, North-Central, Nigeria to guide targeted interventions. Methods: We conducted a community-based cross-sectional study in Benue State, North-Central, Nigeria. Multistage sampling technique was used to recruit 823 respondents. We defined metabolic syndrome using the National Cholesterol Education Programme Adult Treatment Panel III guideline and adapted a component of the WHO Stepwise questionnaire for data collection. Prevalence of metabolic syndrome and the associated risk factors were estimated using Chi square test and logistic regression at 5% level of significance. Statistical analysis was done using SPSS version 23.0. Results: The mean age of the respondents was 40.1± 15.7 years. Most of the respondents were literate (86.8%) and married (67.0%). The prevalence of metabolic syndrome was 19.4%. One in every four of the respondents had pre-metabolic syndrome (25.6%) and this was more in females (28.2%) compared to males (22.9%). Thirty-four percent of the respondents had only one whereas 20.7% did not have any of the risk factors for metabolic syndrome. Age [aOR:10.3; 95%CI: 4.8-22.2], sex [aOR:2.4; 95% CI: 1.7-3.5] and education [aOR:2.9; 95%CI: 1.4-6.1] were significantly associated with metabolic syndrome among the respondents. Conclusion: The prevalence of metabolic syndrome was high. The associated risk factors were age, gender and educational status. Therefore, interventions should be targeted at young adults to reduce the long-term impact of the disease. Competing Interests: The Authors declare that no competing interest exists. (Copyright © 2022 by West African Journal of Medicine.) |
Databáze: | MEDLINE |
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