The Prevalence of Metabolic Syndrome and Its Components among Type 2 Diabetes Mellitus Patients at a Tertiary Hospital, Northwest Ethiopia

Biadgo, Belete; Melak, Tadele; Ambachew, Sintayehu; Baynes, Habtamu Wondifraw; Limenih, Miteku Andualem; Jaleta, Kefyalew Negerie; Tachebele, Belaynesh; Melku, Mulugeta; Abebe, Molla

doi:10.4314/ejhs.v28i5.16

Cited by 40 publications

(41 citation statements)

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“…The prevalence of metabolic syndrome in this study is lower compared to findings of studies done in Ghana [ 24 ] and rural Uganda [ 24 ]. Similarly, the prevalence of metabolic syndrome in the study was lower than reports in Jimma, South West Ethiopia, and that of the University of Gondar Hospital [ 19 , 28 ]; but those two studies were conducted among individuals with mental health problems. This finding is lower than the report from other studies conducted in Mekelle, Northern Ethiopia (20.8%), and Haramaya University employees (20.1%) in Eastern Ethiopia; and, it is also lower than the pooled prevalence (34.9%) done in Ethiopia [ 14 , 15 ].…”

Section: Discussioncontrasting

confidence: 49%

“…Hence, this study assessed metabolic syndrome using both criteria (ATP III and IDF) and found criteria agreements for the same study population at the community level which will show a better picture of the distribution of metabolic syndrome with different factors [ 1 ]. Moreover, previous studies seem to have gaps in terms of lifestyle and anthropological perspectives which are needed to explain the reasons, deterrence, and control of metabolic syndrome, especially in Ethiopia, where health outcomes are highly dependent on dietary practice [ 18 , 19 ]. Therefore, establishing community-based baseline data on the prevalence of metabolic syndrome using Adult Treatment Panel III (ATP III and IDF) is imperative to developing and strengthening national NCD prevention and control programs.…”

Section: Introductionmentioning

confidence: 99%

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Magnitude of metabolic syndrome in Gondar town, Northwest Ethiopia: A community-based cross-sectional study

et al. 2021

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Background Metabolic 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. Methods This 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. Result Of 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 recommendation There 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.

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Section: Discussioncontrasting

confidence: 49%

Section: Introductionmentioning

confidence: 99%

Magnitude of metabolic syndrome in Gondar town, Northwest Ethiopia: A community-based cross-sectional study

et al. 2021

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“…Its predominant vasoconstriction effect is appeared through the activation of its endothelin A (ETA) and Endothelin B (ETB) receptors through the body organs and vessels [2]. Usually, T2DM is accompanied by hypertriglyceridemia [3], hypercholesterolemia [4], hyperuricemia [5], and hyperhomocysteinemia [6] and hypertension. These effects change the tone and stability of vasculatures, causing a mechanical stress on veins and arteries that are already under oxidative stress load in T2DM [7].…”

Section: Introductionmentioning

confidence: 99%

Association of Serum Urotensin-II Levels with Insulin Resistance and Endothelin-I in Type-II Diabetes Mellitus Patients

Khidhir

Mahmud

Maulood

2021

eijs

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Urotensin-II (UII), a pluripotent vasoactive cyclic peptide, exhibits the progression of cardiovascular diseases and the glucose metabolic disorder of insulin resistance. Type 2 Diabetes Mellitus (T2DM) is entirely associated with insulin resistance. This study aimed to demonstrate the association of UII with insulin resistance in diabetic and non-diabetic subjects. A total of 73 male and female subjects aged 40-60 years were recruited in this case-control study. They included 35 non- diabetic subjects with a body mass index of (BMI) ≤ 25 and 38 patients with Diabetes Mellitus and BMI ≥ 25. UII levels were assessed beside other vasoactive and clinical parameters. The results revealed that patients with T2DM had elevated UII and Endothelin-I (ET-I) levels, along with positive correlations with the insulin-resistance marker of Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), blood pressure (BP), fasting blood glucose (FBG), hemoglobin A1c (HbA1C), and asymmetric dimethylarginine (ADMA). Results from stepwise multiple regressions indicated that UII correlated positively with the increases in the levels of serum cholesterol, ET-I, urea, ADMA, and FBG. This study concludes that the increase in UII level has a positive relation with insulin-resistance and the increase in ET-I level. However, UII could inhibit glucose-induced insulin secretion and, hence, can be utilized as a marker for T2DM and its complications through inflammatory microangiopathy.

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“…Each of these disorders is a well-known risk factor for cardiovascular disease and type 2 diabetes (5). The prevalence of MetS has been estimated at around 20-25% of the world's adult population (6). It has increased rapidly in both developed and developing countries during recent years (7)(8)(9).…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic Status and Metabolic Syndrome in Southwest Iran: Results from Hoveyzeh Cohort Study(HCS)

Saki¹,

Hashemi²,

Rahimi³

et al. 2021

Preprint

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BackgroundSocioeconomic status (SES) is a strong predictor of morbidity and premature mortality, especially non-communicable diseases (NCDs). However, the effect of these factors on Metabolic Syndrome (MetS) is not yet clear. This study is to assess the relationship between socioeconomic indicators and MetS.MethodsIn this prospective cohort study, 10009 people aged 35-70 years enrolled from May 2016 to August 2018. MetS was determined based on the standard national cholesterol education program (NCEP) - adult treatment panel III (ATP III) or NCEP-ATP III criteria. Demographics and socioeconomic data were gathered face to face by trained interviews. Also, lab, anthropometrics, and blood pressure measurements were assayed for participants. Logistic regression was used to estimate the association between SES and MetS, with adjustment of potential confounding variables. ResultsThe overall prevalence of MetS in participants was 39.1%. The crude odds ratios for all the assessed variables were statistically significant (p<0.05). After adjustment for age, sex, physical activity, smoking, and alcohol use as potential confounders, the results indicated significant direct independent associations between skill level (p=0.006) and Townsend index (p=0.002) with MetS, while no significant associations were seen between educational level and wealth status with MetS. ConclusionThe results of our study showed that SES is related to MetS. Among four assessed SES indicators, skilled levels and Townsend score had a stronger association with MetS. We recommend considering people’s SES when interventional programs are planning and conducting on MetS in each community.

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The Prevalence of Metabolic Syndrome and Its Components among Type 2 Diabetes Mellitus Patients at a Tertiary Hospital, Northwest Ethiopia

Cited by 40 publications

References 32 publications

Magnitude of metabolic syndrome in Gondar town, Northwest Ethiopia: A community-based cross-sectional study

Magnitude of metabolic syndrome in Gondar town, Northwest Ethiopia: A community-based cross-sectional study

Association of Serum Urotensin-II Levels with Insulin Resistance and Endothelin-I in Type-II Diabetes Mellitus Patients

Socioeconomic Status and Metabolic Syndrome in Southwest Iran: Results from Hoveyzeh Cohort Study(HCS)

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