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Metabolic syndrome among residents of Mizan-Aman town, South West Ethiopia, 2017: A cross sectional study.

ABSTRACT: INTRODUCTION:Globally, it is estimated that around 20-25% adult population has metabolic syndrome. Individuals who have metabolic syndrome are up to five times more susceptible for chronic diseases than those who have no metabolic syndrome. In Ethiopia there is no sufficient information regarding the magnitude and factors of metabolic syndrome. The aim of this study is to assess prevalence and associated factors of metabolic syndrome among residents of Mizan-Aman town, South West, Ethiopia. METHODS:The community based cross-sectional study was held at Mizan-Aman town residents. Systematic random sampling was employed to select each household and lottery method was used to select one individual from the household. Data were cleaned, coded and entered by EPI-INFO version 3.5.4 and were transported to SPSS version 20 for further analysis. To indicate the strength of association, odds ratios (OR) and 95% confidence intervals (95% CI) were used. RESULTS:In this study from a total of 558 respondents 534 were completed the interview correctly, which gives a response rate of 95.7%. The overall prevalence of metabolic syndrome was 9.6%. Multivariate logistic regression revealed that physical inactivity [AOR = 2.61, 95% CI (1.22, 5.58)], age from 18 to 28 years [AOR = 0.36, 95% CI (0.14, 0.90)], being male [AOR = 0.46, 95% CI (0.22, 0.96)] and educational status with cannot write and read [AOR = 0.15, 95% CI (0.04,0.53)], from grade 1 to 8 [AOR = 0. 17, (0.11,0.55)], from grade 9 to12 [AOR = 0.11, (0.03, 0.38)] and from diploma to degree [AOR = 0. 13, (0.01, 0.36)] were significantly associated with metabolic syndrome. CONCLUSION:The prevalence of metabolic syndrome in this study was found to be high. Age, physical activity, educational status and sex were significantly associated with metabolic syndrome. Physical activity was found to be the means of metabolic syndrome prevention.

SUBMITTER: Kerie S

PROVIDER: S-EPMC6354988 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundMetabolic syndrome (MetS) is becoming a major public health problem globally; it is clear that the burden of MetS is rapidly increasing the rates of non-communicable diseases (NCD). In Ethiopia studies done so far have shown a large disparity in magnitude of the prevalence of MetS and were mainly institution-based studies. Therefore, this study assess the prevalence of MetS among adults who are residing in Gondar city using Adult Treatment Panel III (ATP III) and the International Diabetes Federation (IDF) assessment tool. The findings are imperative to developing and strengthening national NCD prevention and control programs.MethodsThis study was conducted in Gondar city Northwest Ethiopia in 2018. It employs a community-based cross-sectional study design among 3,227 individuals 18 years of age or older. Data was collected using the WHO stepwise tool, lipid profile, blood pressure (BP), waist circumference (WC) body mass index (BMI), fasting blood glucose levels (FG), and anthropometric measurements. The prevalence estimation was made along with a 95% confidence interval (CI). The Kappa statistic was used to analyze the statistical agreement between ATP III and IDF definitions of the MetS. Stratified analysis was also performed for description and analysis components using ATP III and IDF as an outcome.ResultOf the total study participants (3227), 3059 (94.8%) were included in the final analysis and 52.5% were female. The mean (±SD) age of the study participant was 40.8 years (16.2 ±SD). The overall prevalence of MetS using ATP III was 11.2% [95%CI: 10.1, 12.3] and using IDF was 11.9% [95%CI: 10.8, 13.2]. The sex-specific proportion was high in females rather than males irrespective of the criteria. The overall level of agreement between ATP III and IDF prevalence was 91.7% and the Kappa statistics was 0.594. Older age, low-density lipoprotein cholesterol, body mass index, being female, born in an urban area, consumption of an alcoholic drink in the preceding 30 days, and non-fasting practice was significantly associated with MetS.Conclusion and recommendationThere was a higher prevalence of metabolic syndrome among females than males irrespective of metabolic syndrome diagnostic criteria. This also shows good agreement between ATP III and IDF. Being female, urban birthplace, frequent alcohol consumption in the last 30 days, and non-fasting practice are factors associated with higher rates of metabolic syndrome. Hence, awareness campaigns, physical exercise, and nutrition education intervention should be undertaken to promote health behavioral practice.

Project description:IntroductionPost-traumatic stress disorder is marked by increased stress and anxiety following exposure to a traumatic or stressful event. Events of conflict and war-related traumas were commonly reported situations and people who have undergone through have a higher tendency to develop PTSD Woldia town had been under a serious military surge and a five-month encroachment, so the expected destruction in property, impact on physical, social and mental health of civilians was potentially high. More importantly, there is no study that investigated the significance of association between war-related traumatic events and post-traumatic stress disorder in the area. so this study aims to assess prevalence of post-traumatic stress disorder and its associated factors among war-affected residents in Woldia town, North East Ethiopia, 2022.MethodA community-based cross-sectional study design was employed by using a multi-stage systematic random sampling technique from May-15 to June-15/2022. A total of 609 participants were enrolled. PTSD was measured by the post-traumatic stress disorder checklist for DSM-5 (PCL-5). Data were entered by Epi data version 4.6.0.2 and analyzed using STATA version 14. Bivariable and Multivariable logistic regression analysis was done to identify associated factors to PTSD and P-values less than 0.05 were considered statistically significant.ResultsThe overall prevalence of PTSD was 56.28%. Destruction/looting of property (AOR = 1.6,95%CI,1.11-2.47), murder/injury of family member (AOR = 2.1,95% CI,1.37-3.22), witness of murder of family member/others (AOR = 1.6,95% CI,1.01-2.71), unlawful imprisonment (AOR = 1.7, 95%CI, 1.06-2.74), depression (AOR = 2, 95%CI, 1.37-2.93), anxiety (AOR = 3.3, 95%CI,2.26-4.97), experience trauma on themselves (AOR = 2.0,95%CI,1.22-3.58), poor (AOR = 3.1,95%CI,1.60-6.04) and moderate (AOR = 3.0, 95%CI, 1.56-5.87) social support were statistically associated with PTSD at a p-value < 0.05.ConclusionThe study reveals that the prevalence of PTSD was high in Woldia town following an armed conflict between Federal Government and Tigray forces. Destruction/looting of property, murder/injury of family, witness murder of family/others, unlawful imprisonment, depression, anxiety, experience on themselves, poor and moderate social support were statistically associated with PTSD. Hence, encourage organization working on mental health, routine patient assessment with a history of trauma, facilitating means to support affected residents is recommended.

Project description:BackgroundUterine prolapse is an important but neglected public health problem that causes maternal morbidity and mortality in women of reproductive age in low- and middle-income countries, including Ethiopia. However, little data are available concerning uterine prolapse in Ethiopia. The objective of this study was to assess the prevalence of and factors associated with uterine prolapse in women of reproductive age in Ethiopia.MethodsA community-based cross-sectional study was conducted in Loma Woreda, Dawro, south-west Ethiopia, in November and December 2019. Four hundred and twenty-two randomly selected women of reproductive age participated in the study. Face-to-face interviews with a pre-structured questionnaire collected data, and diagnoses were made clinically. Epi Data v3.2.1 and SPSS v24 were used for data entry, processing, and analysis. Binary logistic regression was used to determine associations between dependent and independent variables. Variables with P-values less than 0.25 in bivariate logistic regression were further examined using multivariate logistic regression to investigate associations between the dependent variable and independent variables.ResultsThe mean age of respondents was 35.4 ±7.994 years. The prevalence of symptomatic and anatomical uterine prolapse was 6.6% (28) and 5.9% (25), respectively. The prevalence of anatomical prolapse was used as a reference when determining associated factors. Age at first marriage (Adjusted Odd Ratio (AOR): 0.25, 95%CI 0.07, 0.89), place of delivery (AOR: 3.33, 95%CI 1.21, 9.13), birth attendant-assisted delivery (AOR 0.21; 95%CI 0.06, 0.71), and history of abortion (AOR: 2.94, 95%CI 1.08, 7.97) were found significantly and independently associated with the prevalence of uterine prolapse.ConclusionUterine prolapse is common in women of reproductive age. Age at first marriage, place of delivery, birth attendant-assisted delivery, and history of abortion were independent predictors of the prevalence of uterine prolapse. We recommend that the health system link primary health care to hospital-set for uterine prolapse treatment programs. Health institution delivery should be encouraged by the local government. Early marriage and unwanted pregnancy need to be prevented through appropriate strategies.

Project description:BACKGROUND:The first 12 months after childbirth may represent a high-risk time for depression. In Ethiopia there is a paucity of evidence about its magnitude and associated factors during that period. So, the aim of this study was to assess the magnitude of depression and associated factors among postpartum women in Mizan Aman town, Bench Maji Zone, Southwest Ethiopia 2017. METHODS:A community based cross- sectional study design was employed from March 15 to April 15, 2017. Four hundred sixty women were selected using multistage random sampling technique. Face to face interview were conducted using structured questionnaires and standardized scales. Bivariate logistic regression analysis was done to see crude association between each independent variable and outcome variable. Variables with p value?<?0.25 in bivariate analysis were entered to multivariable logistic regression analysis to control for confounding. Adjusted odd ratios with 95%CI were calculated to identify independent predictors of postpartum depression. RESULT:Four hundred fifty-six postpartum women participated in the study giving a response rate of 99%. The magnitude of postpartum depression among the study population was 102 (22.4%, 95% CI: 19.84-24.96). Postpartum depression is relatively higher in the first 6 weeks after birth. Postpartum depression is higher among mothers with age range between 18 and 23 years (aOR 3.89 95%CI: 1.53-9.90), unplanned pregnancy (aOR 3.35 95% CI: 1.701-6.58), child having sleeping problems (aOR 3.72 95%CI: 1.79-7.72), domestic violence (aOR 2.86 95%CI 1.72-8.79), unsatisfied marital relation (aOR 2.72 95% CI 1.32-5.62), poor social support (aOR 4.30 95% CI 1.79-10.30), history of previous depression (aOR 7.38 95% CI 3.12-17.35) and substance use (aOR 5.16 95% CI 2.52-10.60). CONCLUSION:The magnitude of postpartum depression was high. This underlines health care planners' needs to incorporate screening strategies for depression following childbirth.

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Metabolic syndrome among residents of Mizan-Aman town, South West Ethiopia, 2017: A cross sectional study.

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