Diagnosed and undiagnosed Diabetes mellitus among urban adults: a population based cross-sectional study

Ayele, Behailu Hawulte; Shore, Hirbo; Shunu, Addisu; Mengesha, Melkamu Merid

doi:10.1101/532705

Cited by 5 publications

(7 citation statements)

References 42 publications

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“…This finding is comparable with findings of studies done in Indonesia (3.5%), 28 Northwest Nigeria (4.3%), 29 Gilgel Gibe Field Research Center, Ethiopia (3.8%), 30 and Dire Dawa town (3.3%). 31 However, the current study found a relatively higher proportion of unrecognized DM than the study conducted in Kenya (2.4%), 16 Benin (1.4%), 32 Southern Ethiopia, Sidama zone (1.9%), 33 and rural Koladiba town (2.3%). 34 This discrepancy might be due to differences in socio-demographic characteristics of study participants, study setting, and sample size.…”

Section: Discussioncontrasting

confidence: 85%

“…This is in line with previous studies conducted around the world. 16,17,31,37,[46][47][48] This is most likely due to a decline in lean body mass and an increase in body fat, particularly visceral adiposity which may contribute to the development of insulin resistance, the tendency of low physical activity, and increased body weight. 44,49 This also supplemented with the present study.…”

Section: Discussionmentioning

confidence: 99%

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The Hidden Burden of Diabetes Mellitus in an Urban Community of Southwest Ethiopia

Yunka¹,

Mogas²,

Zawdie³

et al. 2020

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Introduction: Early detection of the unrecognized diabetes mellitus (DM) and its risk factors in the community is crucial to minimizing the burden of DM and associated complications. Hence, this study aimed to assess unrecognized DM and its relationship with behavioral characteristics, physical characteristics, and lipid profile among adults in Jimma Town, Southwest Ethiopia. Methods: A community-based cross-sectional study was conducted on 915 adults in Jimma Town from June 17 to July 27, 2019. Physical measurements, lipid profile, and blood sugar levels were measured. The collected data were entered and analyzed using Epi Data 3.1 and SPSS version 21, respectively. Multivariable logistic regression was fitted to assess predictors of unrecognized DM where adjusted odds ratio (AOR) with its corresponding 95% confidence interval (CI) was used to assess the strength of association at P-value ≤05. Results: The prevalence of unrecognized DM and impaired glucose metabolism (prediabetes) were 3.1% (95% CI; 2.0-4.4) and 14.8% (95% CI; 12.5-17.2), respectively. The risk of unrecognized DM was higher among male participants (AOR = 2.94, 95% CI: 1.19, 7.29), age group of 35 years and above (AOR = 3.45, 95% CI: 1.16, 10.27), and high waist circumference (AOR = 4.21, 95% CI: 1.72, 10.33). On the other hand, participants who perform sufficient physical activity (AOR = 0.14, 95% CI: 0.03, 0.58) had low risk of undetected DM. Conclusion: The prevalence of unrecognized diabetes mellitus was relatively high. Male sex, advanced age, physical inactivity, and high waist circumference were found to be predictors of unrecognized DM. Thus, awareness needs to be created among the community to practice regular physical activity and maintaining normal body weight. Additionally, screening of DM should be promoted for early detection, prevention, and treatment.

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Section: Discussioncontrasting

confidence: 85%

Section: Discussionmentioning

confidence: 99%

The Hidden Burden of Diabetes Mellitus in an Urban Community of Southwest Ethiopia

Yunka¹,

Mogas²,

Zawdie³

et al. 2020

DMSO

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“…[14][15][16]31 Moreover, the result is higher than other similar studies conducted in Ethiopia, namely in Mizan Aman (6.5%), Dire Dawa city (8.95%), Gilgel Gibe of Jimma zone (4.4%), in Addis Abeba (5%) and at Bishoftu town (5%). 7,17,[19][20][21][22] In the same way our result is much higher than prevalence of type 2 diabetes in other Sub-Saharan countries like 0.6% in rural Uganda, a study based on random plasma glucose test 34 and 0.8% in rural Cameroon, a study based on fasting blood glucose test/oral glucose tolerance test. 35 This variation may be due to variances in the period the studies were done, the area of the study, designs of the study, sample sizes used, the sociodemographic and life style of the studied population and the composition of the study population.…”

Section: Discussionsupporting

confidence: 49%

“…3 Preceding studies through the World stated the diabetes mellitus prevalence ranges from 1.4% to 13.55%. [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] Some of the factors associated with the incidence of diabetes encompassed: being overweight and obese, 7,[21][22][23][24]27,28,32 older age, 17,18,21,31,32 having tertiary educational level, 18,21 poor physical activity, 31 having a family history of DM, 21,22,29 low fruit and vegetable consumption, 17 cigarette smoking, 7,31 alcohol consumption 15,22 waist to hip ratio (WHR), 7,18,21,22,24,…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Associated Factors of Diabetes Mellitus Among Adult Population in Hawassa Zuria Woreda, Sidama Region, Ethiopia

Seifu

Tsegaw

Haji

et al. 2020

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Background: Diabetes mellitus (DM) is one of the main health problems in unindustrialized countries. According to the International Diabetes Federation report, adults living with diabetes were growing from time to time globally. Worldwide, diabetes mellitus accounts for 8.8% (424.9 million) morbidity and 4 million deaths. Ethiopia is one of the countries frequently affected by the disease with about 2.567 million (5.2%) of its population affected with diabetes mellitus. Objective: This study was aimed at determining the prevalence and associated factors of diabetes mellitus among adult population in Hawassa Zuria Woreda, Sidama Region, Ethiopia. Methods: Community-based cross-sectional study was conducted from January 1 to February 15, 2019 among 519 adult population. A study participant was selected using a multistage sampling technique. We had employed the World Health Organization (WHO) stepwise method for non-communicable disease surveillance to collect the data. Fasting glucose meter was used from venous blood to test for blood glucose level. EPI info was used to enter and clean the data and the data were transported to SPSS for analysis. To assess associated factors with diabetes mellitus adjusted odds ratio (aORs) with 95% confidence intervals (CIs) was employed and p.value <0.05 was considered significant. Results: A total of 516 participants were included in the study. The diabetes mellitus prevalence was found to be 12.4% (95% CI: 9.5-15.2). Factors associated with diabetes mellitus were being obese [AOR=9.2, 95% CI:4.3, 19.8], hypertensive (AOR=3.8, 95% CI:1.75, 8.4), cigarette smoking (AOR=7.8, 95% CI: 3.45, 18.1) and high waist circumference (AOR=25, 95% CI:8.5, 79). Conclusion: This study revealed that the prevalence of diabetes mellitus was found to be high, which was greater than the estimated national prevalence of diabetes mellitus. Obesity, hypertension, cigarette smoking and high waist circumference were determinant factors for diabetes mellitus. Appropriate actions such as creating community awareness on regular blood sugar testing and preventive measures are recommended.

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“…In this study, the prevalence of T2DM was found to be higher when compared to national [8,18] as well as other small-scale studies [12,[19][20][21][22][23][24][25] conducted so far in Ethiopia. This could be due to different reasons.…”

Section: Discussionmentioning

confidence: 50%

Community-Based Findings of Magnitude of Type 2 Diabetes Mellitus among Adults in Selected Towns of Western Ethiopia

Feyisa

Mosisa

Biru

et al. 2022

Dubai Diabetes Endocrinol J

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Background: The risk of diabetes mellitus (DM) is remarkably increasing globally, and it is alarmingly increasing in developing countries including Ethiopia, especially in urban residents. The present study was aimed at uncovering the magnitude of type 2 DM (T2DM) among adults residing in the selected towns of western part of Ethiopia. Methods: A community-based cross-sectional study design was conducted in towns of western Ethiopia from June 1 to June 30, 2019. Multistage and systematic random sampling techniques were employed. The data were collected using structured interviewer-administered questionnaire based on the World Health Organization STEPwise approach. Data were entered into EpiData 3.1, cleaned, and analyzed by the statistical package for social sciences software version 24. Descriptive statistics and logistic regression were used for the analysis. Results: The prevalence of T2DM was 7.0% (95% confidence interval [CI] 5.4–8.8) with 8.5% (95% CI 5.6–11.0) and 6.0% (95% CI 3.9–8.1) among males and females, respectively. Being married (AOR = 4.0, 95% CI 1.1–14.7) and divorced (AOR = 6.2, 95% CI 1.1–34.4), consumption of inadequate fruits and vegetables per day (AOR = 2.8, 95% CI 1.1–6.8), physical inactivity (AOR = 5.0, 95% CI 2.5–10.0), hypertension (AOR = 2.9, 95% CI 1.3–6.2), overweight (AOR = 2.3, 95% CI 1.1–4.9), and obesity (AOR = 19, 95% CI 4.5–50.1) were factors independently associated with T2DM. Conclusion: The prevalence of DM in the study area was found to be substantially higher than the national prevalence and other pocket studies in the country. Sociodemography and modifiable risk factors were affecting the prevalence of DM.

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Diagnosed and undiagnosed Diabetes mellitus among urban adults: a population based cross-sectional study

Cited by 5 publications

References 42 publications

<p>The Hidden Burden of Diabetes Mellitus in an Urban Community of Southwest Ethiopia</p>

<p>The Hidden Burden of Diabetes Mellitus in an Urban Community of Southwest Ethiopia</p>

<p>Prevalence and Associated Factors of Diabetes Mellitus Among Adult Population in Hawassa Zuria Woreda, Sidama Region, Ethiopia</p>

Community-Based Findings of Magnitude of Type 2 Diabetes Mellitus among Adults in Selected Towns of Western Ethiopia

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