DOI: 10.5061/dryad.x0k6djhmz
title: Predictors of metabolic syndrome among adults in Ethiopia

description: Background Available evidence showed that metabolic syndrome in the adult
 population is persistently elevated due to nutrition transition, genetic
 predisposition, individual-related lifestyle factors, and other
 environmental risks. However, in developing nations, the burden and
 scientific evidence on the pattern, and risk exposures for the development
 of the metabolic syndrome were not adequately investigated. Thus, the
 study aimed to measure the prevalence of metabolic syndrome and to
 identify specific risk factors among adult populations who visited Dessie
 Comprehensive Specialized Hospital, Ethiopia. Methods A hospital-based
 cross-sectional study was conducted among randomly selected 419 adults
 attending Dessie Comprehensive Specialized Hospital from January 25 to
 February 29, 2020. We used the WHO STEP-wise approach for non-communicable
 disease surveillance to assess participants’ disease condition. Metabolic
 syndrome was measured using the harmonized criteria recommended by the
 International Diabetes Federation Task Force in 2009. Data were explored
 for missing values, outliers, and multicollinearity before presenting the
 summary statistics and regression results.  Multivariable
 logistic regression was used to disentangle statistically significant
 predictors of metabolic syndrome expressed using an odds ratio with a 95%
 of uncertainty interval. All statistical tests were managed using SPSS
 version 26.  A non-linear dose-response analysis was performed to
 show the relationships between metabolic syndrome with potential risk
 factors. Results The overall prevalence of metabolic syndrome among adults
 was 35.0 %( 95% CI, (30.5, 39.8)). Women were more affected than men (i.e.
 40.3% vs 29.4%).  After adjusting for other variables, being
 female [OR=1.85; 95% CI (1.01, 3.38)], urban residence [OR=1.94; 95% CI
 (1.08, 3.24)], increased age [OR= 18.23; 95% CI (6.66, 49.84)], 
 shorter sleeping durations [OR= 4.62; 95% CI (1.02, 20.98)], sedentary
 behaviour[OR=4.05; 95% CI (1.80, 9.11)], obesity[OR=3.14; 95% CI (1.20,
 8.18) and alcohol drinking[OR=2.85; 95% CI (1.27,6.39)] were positively
 associated with the adult metabolic syndrome. Whilst have no formal
 education [OR=0.30; 95% CI (0.12, 0.74)] was negatively associated with
 metabolic syndrome. Conclusions The prevalence of the adult metabolic
 syndrome is found to be high. Metabolic syndrome has linear relationships
 with BMI, physical activity, sleep duration, and level of education. The
 demographic and behavioral factors are strongly related to the risk of
 metabolic syndrome. Since most of the factors are modifiable, there should
 be urgent large-scale community intervention programs focusing on
 increased physical activity, healthy sleep, weight management, minimizing
 behavioral risk factors, and healthier food interventions targeting a
 lifecycle approach. The existing policy should be evaluated whether due
 attention has been given to prevention strategies of NCDs.
description: The Data were collected using an interviewer-administered
 questionnaire, anthropometric measurements, and biochemical profiles of
 adults attending Dessie Comprehensive Specialized hospital.  It was
 managed using SPSS software to explore missing data, outliers, and
 logistic regression analysis.
description: The dataset contained the minimum data required for metabolic
 syndrome diagnosis and risk factors.  There are some system missings that
 can't affect the model assumptions.