Prevalence and associated risks for metabolic syndrome in nigerians with type 2 diabetes mellitus

Berhe²,

Belay³

et al. 2019

Preprint

Objective The aim of this study was to assess magnitude of metabolic syndrome and its associated factors among type 2 diabetes mellitus patients in Ayder comprehensive specialized hospital. A hospital based cross sectional study design was used. Binary logistic regression was used and all independent variables were analyzed to test the association with dependent variable. Finally, in multivariable analysis statistical association was declared at P-value <0.05. Result A total of 420 respondents (208 males and 211 females) were enrolled; the mean age was 56.36 (SD 10.18), 51.1% of the respondents had metabolic syndrome according to international diabetes federation. Sex and age were statistically associated with metabolic syndrome with [AOR (95% CI) = 1.93(1.057, 3.533) and 1.04 (1.012, 1.072)] respectively. Regular physical exercise, overweight and obesity were statistically associated with metabolic syndrome with [AOR (95% CI) =1.84 (1.002, 3.362), 2.68 (1.518, 4.747) and 3.55 (1.254, 10.074)] respectively. To conclude, Magnitude of metabolic syndrome was high. The associated factors for metabolic syndrome are physical inactivity, inadequate intake of fruits, family history, overweight, and obesity.

Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 91%

Section: Discussioncontrasting

confidence: 77%

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Magnitude of metabolic syndrome and its associated factors among patients with type 2 diabetes mellitus in Ayder comprehensive specialized hospital, Tigray, Ethiopia, 2019: a cross sectional study

Berhe²,

Belay³

et al. 2019

Preprint

“…In addition, the odds of MetS were 2.66 and 3.5 times higher among overweight and obesity compared to those normal weigh respondents respectively among type 2 DM patients. This is in line with studies done in Ethiopia, Gahanna, Iran and Nigeria (10,14,15,23). But lower in AOR from a study in Ethiopia.…”

Section: Discussionsupporting

confidence: 91%

Magnitude of metabolic syndrome and its associated factors among patients with type 2 diabetes mellitus in Ayder comprehensive specialized hospital, Tigray, Ethiopia, 2019: a cross sectional study

Berhe²,

Belay³

et al. 2019

Preprint

Objective : The objective of this study was to assess magnitude of metabolic syndrome and its associated factors among type 2 diabetes mellitus patients in Ayder comprehensive specialized hospital. A hospital based cross sectional study design was used. Binary logistic regression model was used. Result : A total of 419 respondents (208 males and 211 females) were enrolled; the mean age was 56.39 (SD 10.18), 51.1% of the respondents had metabolic syndrome according to international diabetes federation. Sex and age were statistically associated with metabolic syndrome with [AOR (95% CI) = 1.93(1.057, 3.533) and 1.04 (1.012, 1.072)] respectively. Regular physical exercise, overweight and obesity were statistically associated with metabolic syndrome with [AOR (95% CI) =1.84 (1.002, 3.362), 2.68 (1.518, 4.747) and 3.55 (1.254, 10.074)] respectively. To conclude, Magnitude of metabolic syndrome was high. The associated factors for metabolic syndrome are physical inactivity, inadequate intake of fruits, family history, overweight, and obesity. Key words : Ethiopia, Associated Factors, Magnitude, Metabolic syndrome

“…This difference is due to difference in study setting, sample size, and the criteria used to define metabolic syndrome. The magnitude of MetS in this study is lower than from studies done in Gahanna (68.6%), Nigeria (68.7%) and Iran (64.9%) (14)(15)(16).This variation could be due to difference in socio-cultural, study setting, study design and life style.…”

Section: Discussioncontrasting

confidence: 78%

Magnitude of metabolic syndrome and its associated factors among patients with type 2 diabetes mellitus in Ayder comprehensive specialized hospital, Tigray, Ethiopia, 2019: a cross sectional study

Berhe²,

Belay³

et al. 2019

Preprint