Prevalence, risk factors, and glycaemic control of type 2 diabetes mellitus in eastern Sudan: a community-based study

Omar, Saeed M.; Musa, Imad R.; ElSouli, Amir; Adam, Ishag

doi:10.1177/2042018819860071

Cited by 43 publications

(39 citation statements)

References 47 publications

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“…Also, aging has been shown to induce a decrease in insulin sensitivity and inadequate response of β-cell functional mass and is also associated with a decrease of β-cell proliferative capacity [44,45]. Besides, studies in Africa have shown the association between increasing age and prevalence of DM [40,41,[46][47][48].…”

Section: Increasing Agementioning

confidence: 99%

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Diabetes mellitus in primary and secondary schools in Africa: an exploratory review

Agofure

Akpojubaro

2020

Alexandria Journal of Medicine

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Introduction: The prevalence of Diabetes Mellitus (DM) is currently reported to be on the increase in the school environment among teachers and students in Africa. This review highlighted the current state of DM in primary and secondary schools in Africa. Methods: The review assessed critical literature on African Journals Online, Google Scholar search, PubMed, Medline, and Science Direct as well as information available about DM in the Africa continent. Relevant search terms included prevalence of DM in primary schools, the prevalence of DM in secondary schools, prevalence of DM among teachers and students, knowledge of DM among teachers and students, risk factors of DM among teachers and students in Africa. Results: The review highlighted the prevalence of T2DM among teachers, while prediabetes and T1DM were reported among students. Furthermore, only two studies were identified to assessing knowledge of DM among teachers while few studies reported poor knowledge of DM among students. Conclusion: The issue of DM in both primary and secondary schools should be given the needed attention by the concerned stakeholders. This is because of the possible escalation of T1DM and T2DM within the school environment in Africa in the nearest future.

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Section: Increasing Agementioning

confidence: 99%

“…This is a characteristic of urban populations that have been exposed to westernization [49]. Studies in Africa have reported physical inactivity as a risk factor for the increasing prevalence of DM [9,40,[46][47][48][49][50][51][52].…”

Section: Physical Inactivitymentioning

confidence: 99%

Diabetes mellitus in primary and secondary schools in Africa: an exploratory review

Agofure

Akpojubaro

2020

Alexandria Journal of Medicine

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“…Higher percentage of DM and hypertension may be linked to the global increase in the prevalence, including some developing countries [4] [5] [6] [7]. Furthermore, the presence of one or more comorbidities, would be reflected in severity of the disease and a higher percentage of hospital admission: in intensive care unit (ICU) (78%) and non-ICU hospitalizations (71%) [2].…”

Section: Introductionmentioning

confidence: 99%

Risk Factors Contributing in Increased Susceptibility and Severity of COVID-19 Infection during Pregnancy

Musa¹

2020

OJOG

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The corona virus disease 2019 (COVID-19) pandemic has spread globally and pregnant women are considerably prone to COVID-19 infection with increased maternal and perinatal complications. Aim: This study aims to explore the risk factors that contribute to susceptibility and severity of COVID-19 infection among pregnant women. Method: A literature search of articles relating to COVID-19 infection during pregnancy, was conducted, using PubMed, Scopus and Google scholar engine. Result: A total of 168 articles were initially identified. Eighty four papers were excluded for failing to address the aim of the study. After screening titles and abstracts, eighty four full-text articles were retrieved for eligibility analysis. Nineteen studies addressed the susceptibility related to pregnancy, twenty-two studies evaluated the associated comorbidities, nineteen focused on immune system, thirty-six articles concentrated on the risk of coagulopathy and eleven addressed more than one risk factor. Conclusion: Pregnancy, associated comorbidities, modulated immune response during pregnancy and risk of coagulopathy are considerable risk factors contributing to COVID-19 pathogenesis among pregnant women and may predict the outcome.

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“…In primary care and community settings, interventions targeting diabetes management were better targeted at individuals with poor glycemic control, old age, and family history [6,7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Influencing Factors of Community Management of Diabetes based on Adaptive-Lasso Logistic Regression Model

Lin¹,

Huang²,

Cao³

et al. 2020

Preprint

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Background: Influencing factors of community management of diabetes are complex and controversial, and how to select the most effective multiple influencing factors requires in-depth research. This study aims to analyse multiple influencing factors by adaptive-lasso logistic regression model for the effectiveness of diabetes management of the community to improve the efficiency and reduce the burden of diabetes. Methods: A cross-sectional survey (N=1,127) was adopted to establish the adaptive-lasso logistic regression model of influencing factors for community management of diabetic patients based on cluster sampling data of diabetic patients in Chengdu city, China. By comparing with the full-variable logistic model and the ridge logistic model to find the advantages of the adaptive lasso-logistic regression model in community diabetes management. Results: A total of 1,127 diabetic patients were included in the cross-sectional survey. The latest fasting blood glucose was included in the analysis. Among the included population, 90.6% of them had a fasting glucose level higher than 6.1mol/L, and 9.4% of them were below 6.1mol/L. By cross-validation, after folding eight times, the variables involved in the Adaptive lasso-logistic regression model include age, education level, main source of income, marital status, average monthly income, free medical service, basic medical insurance for residents, hospital history, number of follow-up evaluations by family doctor team, voluntary participation in community blood glucose measurement. The AIC and BIC criteria of adaptive lasso-logistic regression model were 2062 and 1981, which were lower than the full-variable logistic model (2349, 2023) and the ridge logistic model (2312, 2013). From the perspective of time cost, the adaptive-lasso logistic regression model was better than the other two models. Conclusions: The adaptive-lasso logistic regression model can be used to analyse the influencing factors of community management in patients with diabetes. Community intervention and intensive management measures can significantly improve the blood glucose status of patients with diabetes.

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Prevalence, risk factors, and glycaemic control of type 2 diabetes mellitus in eastern Sudan: a community-based study

Cited by 43 publications

References 47 publications

Diabetes mellitus in primary and secondary schools in Africa: an exploratory review

Diabetes mellitus in primary and secondary schools in Africa: an exploratory review

Risk Factors Contributing in Increased Susceptibility and Severity of COVID-19 Infection during Pregnancy

Analysis of Influencing Factors of Community Management of Diabetes based on Adaptive-Lasso Logistic Regression Model

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