Magnitude, components and predictors of metabolic syndrome in Northern Ethiopia: Evidences from regional NCDs STEPS survey, 2016

• Published in: PloS one Vol. 16; no. 6; p. e0253317
• Main Authors: Ajemu, Kiros Fenta, Desta, Abraham Aregay, Berhe, Asfawosen Aregay, Woldegebriel, Ataklti Gebretsadik, Bezabih, Nega Mamo, Negash, Degnesh, Wuneh, Alem Desta, Woldearegay, Tewolde Wubayehu
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 21.06.2021; Public Library of Science (PLoS)
• Subjects: Biology and Life Sciences; Blood pressure; Cholesterol; Classification; Data analysis; Data collection; Diabetes; Diabetes mellitus; Diagnosis; Disease susceptibility; Editing; Epidemiology; Evaluation; Fasting; Health promotion; Health risks; Hypertension; Medical research; Medicine and Health Sciences; Metabolic disorders; Metabolic syndrome; Metabolic syndrome X; Obesity; Overweight; People and Places; Reviews; Risk analysis; Risk factors; Sample size; Sociodemographics; Variables; Visualization; Womens health; Ethiopia; United States > US; Africa
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0253317

Individuals with metabolic syndrome are five times more susceptible to chronic diseases. Assessment of its magnitude, components, and risk factors is essentials to deploy visible interventions needed to avoid further complications. The study aimed to assess magnitude, components, and predictors of metabolic syndrome in Tigray region northern Ethiopia, 2016. Data were reviewed from Tigray region NCDs STEPs survey data base between May to June 2016. A total of 1476 adults aged 18-64 years were enrolled for the study. Multi-variable regression analysis was performed to estimate the net effect of size to risk factors associated with metabolic syndrome. Statistical significance was declared at p-value of [less than or equal to]0.05 at 95% confidence interval (CI) for an adjusted odds ratio (AOR). The study revealed that unadjusted and adjusted prevalence rate of Metabolic Syndrome (MetS) were (CPR = 33.79%; 95%CI: 31.29%-36.36%) and (APR = 34.2%; 95% CI: 30.31%-38.06%) respectively. The most prevalent MetS component was low HDL concentration (CPR = 70.91%; 95%CI: 68.47%-73.27%) and (APR = 70.61; 95%CI; 67.17-74.05). While; high fasting blood glucose (CPR = 20.01% (95%CI: 18.03-22.12) and (APR = 21.72; 95%CI; 18.41-25.03) was the least ones. Eating vegetables four days a week, (AOR = 3.69, 95%CI; 1.33-10.22), a salt sauce added in the food some times (AOR = 5.06, 95%CI; 2.07-12.34), overweight (AOR = 24.28, 95%CI; 10.08-58.47] and obesity (AOR = 38.81; 12.20-111.04) had strong association with MetS. The magnitude of metabolic syndrome was found to be close to the national estimate. Community awareness on life style modification based on identified MetS components and risk factors is needed to avoid further complications.