Complication profiles and their associated factors in Malaysian adult type 2 diabetes mellitus—an analysis of ADCM registry

2015 ◽  
Vol 35 (3) ◽  
pp. 356-367 ◽  
Author(s):  
Boon-How Chew ◽  
Ping-Yein Lee ◽  
Ai-Theng Cheong ◽  
Mastura Ismail ◽  
Mohamad-Adam Bujang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Associated Factors ◽  
Adult Type

scholarly journals Prevalence of Microalbuminuria and Associated Factors Among Type 2 Diabetes Mellitus Patients in Jigjiga Town Public Hospitals, Somali Regional State, Ethiopia, 2020

2021 ◽  
Author(s):  
Abdilahi Ibrahim Muse ◽  
Mohamed Omar Osman ◽  
Girma Tadesse Wedajo ◽  
Kalkidan Hassen Abate ◽  
Ahmed Mohammed Ibrahim ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Associated Factors ◽  
Density Lipoprotein ◽  
Public Hospitals ◽  
P Value ◽  
Adult Type

Abstract Background and AimUnder normal circumstances, a urine albumin excretion of 5-10 mg/L is considered to be normal. Micro-albuminuria is, however, defined as a level of albumin in the urine that is between 20 mcg/min, and 200 mcg/min (30-300mg/24h) with normal urine flow of 1 ml/min.The aim of this study is to assess the prevalence of micro-albuminuria and associated factors among adult type two diabetes mellitus clients in public hospitals of Jigjiga town, Somali region, Ethiopia, from April 1 to July15, 2020Methods: Institutional based cross-sectional study design was used from April 1 to July 15, 2020. A pre-tested structured questionnaire was used to collect a data from 204 Type 2 diabetes mellitus patients visiting at Karamara general and Jigjiga University referral hospitals for follow up. Descriptive statistics was computed. Logistic regression model was used to identify covariates using SPSS version 20. The direction and strength of statistical association was measured by odds ratio with 95 % CI and a P-value < 0.05 was considered as statistically significant.Results: The prevalence of micro-albuminuria was 48.0% with [95% CI (41.2, 54.9)] Duration of DM between 11-20 years [AOR=3.71; 95% CI (1.45, 9.49)] Family history of hypertension [AOR=2.24; 95% CI: (1.02, 4.70)] Systolic blood pressure [AOR=3.36; 95% CI:(1.39, 8.13)], Low density lipoprotein [AOR=5.60; 95%CI: (2.22,14.11)] High density lipoprotein [AOR=5.210;95%CI:(2.067,13.131)] and Glycated hemoglobin [AOR = 3.246; 95% CI (1.356, 7.78)] were significantly associated with micro-albuminuriaConclusion: There is a significant level of micro-albuminuria among type 2 diabetes mellitus patients. Effective secondary prevention program directed on blood glucose and lipid with steps to improve blood pressure are critical in undertaking in the setting and regular screening of micro-albuminuria is needed so that an early preventive and treatment measures against its burden are put in place.

scholarly journals Prevalence of Anaemia and Its Associated Factors among Type 2 Diabetes Mellitus Patients in University of Gondar Comprehensive Specialized Hospital

Anemia ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Sewnet Adem Kebede ◽  
Biruk Shalmeno Tusa ◽  
Adisu Birhanu Weldesenbet
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Associated Factors ◽  
Microvascular Complications ◽  
Combined Treatment ◽  
Factors Associated ◽  
Specialized Hospital ◽  
Patients With Diabetes

Background. Anaemia is one of the commonest blood disorders seen in patients with diabetes. In Ethiopia, chronic illnesses are tremendously raising with their complications. But very little research has been conducted, particularly on anaemia among diabetes mellitus (DM) patients. Therefore, this study aimed at assessing the prevalence of anaemia and associated factors among type 2 diabetes mellitus patients in Northwest Ethiopia. Methods. A cross-sectional study design was employed at University of Gondar Comprehensive Specialized Hospital from March 1 to April 15, 2019, among 372 type 2 diabetes mellitus patients (T2DM). Multivariable logistic regression analysis was fitted, and the corresponding adjusted odds ratio (AOR) and 95% CI were used to identify factors associated with anaemia. Level of significance was declared at the p value less than 0.05. Results. The study revealed 8.06% (95% CI: 5.68–11.31%) of the participants were anaemic. Being male (AOR = 2.74, CI: 1.02, 7.38), combined type of treatment (AOR = 8.38, CI: 1.66, 42.25), having diabetes-related microvascular complications (AOR = 3.24, CI: 1.14, 9.26), and hypertension (AOR = 0.01, CI: 0.002, 0.06) were the significant factors associated with anaemia. Conclusions. The finding of the current study revealed low prevalence of anaemia among T2DM patients. Sex, type of treatment, diabetes-related microvascular complications, and hypertension were factors associated with anaemia. Assessment of haemoglobin levels among T2DM patients may help to prevent ensuing microvascular complications. Incorporate anaemia screening into the routine assessment of diabetic complication particularly for those who are hypertensive and took combined treatment to allow early appreciation and treatment of anaemia and later improve the overall care of patients with diabetes.

scholarly journals Prevalence of self-reported Type 2 diabetes mellitus and associated socio-economic-demographic factors among adults above 20 years in a residential area of Delhi

2016 ◽  
Vol 7 (4) ◽  
pp. 6-13
Author(s):  
Reeta Devi ◽  
Bimla Kapoor ◽  
M. Meghachandra Singh
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Associated Factors ◽  
Multivariate Logistic Regression Analysis ◽  
Demographic Factors ◽  
Residential Area ◽  
Self Report ◽  
Per Capita

Background: There is changing epidemiology of type 2 diabetes mellitus in India. Few studies have reported prevalence of self reported diabetes in Delhi. Aims and Objectives: To assess the prevalence of self–reported Type 2 diabetes mellitus (T2DM) and find out its association with socio-economic-demographic factors among adults above 20 years in a residential area of Delhi. Materials and Methods: This was a community based cross-sectional study done in a residential area of East Delhi. The subjects were identified by door to door survey based onavailable records and self-report. They were interviewed using a pre-tested interview schedule with items on socio-economic and demographic characteristics. Chi-square test was used for qualitative data. Multivariate logistic regression analysis was used to find out associated factors with T2DM. Odds ratio (95% CI) was calculated. ‘p’ < 0.05 considered significant.Results: The self-reported prevalence of T2DM was 8.5% (461/5444) among 20 years andabove population. It was more in males (9.1%) than females (7.8%), highest (25%) in primary educated, least (7.3%) in graduates and above (p<0.001). Age-specific prevalence was maximum (22.4% in 60-69 years), least (0.2%) in 20-29 years (p<0.001). Occupation wise, maximum (19.2%) was in retired and least (0.7%) in unemployed (p<0.001). The associated factors were: age 50 years and above (OR 6.99, 95% CI 5.4-8.9), males (OR 1.33, 95% CI 1.07-1.65), secondary education (OR 1.39, 95% CI 1.05-1.84), unemployed (OR 1.45, 95% CI 1.15-1.83), per capita per month income Indian Rupees (INR) 20001 and above (OR 1.39, 95% CI 1.10-1.75). Conclusion: Self-reported prevalence of T2DM was 8.5%, more among males, >50 years, retired, secondary educated and with per capita income per month of Rs 20001 and above. It is necessary to create awareness among the people to identify, manage and prevent T2DM.Asian Journal of Medical Sciences Vol.7(4) 2016 6-13

scholarly journals Prevalence of Undiagnosed Type 2 Diabetes Mellitus and Its Associated Factors Among the Malaysian Population: The 2015 National Health and Morbidity Survey, Malaysia

2018 ◽  
Vol 10 (8) ◽  
pp. 153
Author(s):  
Hasimah Ismail ◽  
Mohd Azahadi Omar ◽  
Thamil Arasu Saminathan ◽  
Muhammad Fadhli Muhammad Yusof ◽  
Nor Azian Mohd Zaki ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Associated Factors ◽  
Adult Population ◽  
Cross Sectional Study ◽  
Undiagnosed Diabetes ◽  
Cross Sectional ◽  
Face To Face

BACKGROUND: The prevalence of diabetes has increased dramatically in the last decade. Compounding the problem are undiagnosed cases of type 2 diabetes mellitus. These respondents are those who do not know that they have the disease. Undiagnosed cases have substantial implications as they are at more risk to develope fatal complications. This study aims to determine the prevalence of undiagnosed T2DM and to identify its associated factors in Malaysia.METHODS: A nationwide cross-sectional study was conducted involving 19,935 respondents. Two-stage stratified sampling design was used to select a representative sample of the Malaysian adult population. Face-to-face interviews using structured, validated questionnaires were used to obtain data from the respondents. Respondents who claimed that they were not diagnosed with diabetes before were asked to undergo a finger-prick test.RESULTS: The overall prevalence of T2DM was 17.5% while the prevalence of undiagnosed T2DM was 9.2% (n=2103). Respondents aged 60 years old &amp; above had the highest percentage of undiagnosed T2DM at about 13.6 %, followed by those with no formal educational at 12.9%, among Indians were 11.9%, among female at 9.2%, among non-working citizen at 9.8%, widowed/divorced (12.0%), smokers (9.5%), obesity (13.6%) and hypertensive (12.8%). Multivariable analyses revealed that age group, ethnicity, education level, marital status, obesity and hypertensive were more likely to have undiagnosed T2DM.CONCLUSION: This study showed a high prevalence of undiagnosed T2DM in Malaysia. Factors associated with undiagnosed diabetes mellitus were obesity, age, ethnicity, educational level and hypertension. Screening is essential among adults aged 30 to 60 year old to enable early intervention and prevent development of serious complications of this disease.

Prevalence and associated factors of non-alcoholic fatty liver disease in patients with type-2 diabetes mellitus

2009 ◽  
Vol 29 (1) ◽  
pp. 113-119 ◽  
Author(s):  
Nathalie C. Leite ◽  
Gil F. Salles ◽  
Antonio L. E. Araujo ◽  
Cristiane A. Villela-Nogueira ◽  
Claudia R. L. Cardoso
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Liver Disease ◽  
Fatty Liver ◽  
Fatty Liver Disease ◽  
Associated Factors ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

scholarly journals Prevalence and Associated Factors of Diabetic Foot at Risk among Type 2 Diabetes Mellitus Patients Attending Primary Health Clinics in Kuantan

2020 ◽  
Vol 19 (3) ◽  
Author(s):  
NH Azmi ◽  
A Abdul Hadi ◽  
MA Md Aris ◽  
HE Nasreen ◽  
A Che-Ahmad
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
At Risk ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Foot ◽  
Associated Factors ◽  
Care Practice ◽  
Health Clinics ◽  
Primary Health

Introduction: The diabetic foot at risk is the diabetic foot which is at risk of ulceration, hence the importance of identifying the foot at this stage. This study aims to assess the prevalence of diabetic foot at risk and its associated factors among type 2 diabetes mellitus patients’ attending primary health clinics in Kuantan. Methods and methods : This was a cross-sectional study conducted at four primary health clinics in Kuantan involving 450 study participants who were selected by using universal sampling method. Foot examination was carried out and foot at risk was classified based on the Kings’ Classification. Multiple logistic regressions were performed to identify the predictors for diabetic foot at risk. Results: The prevalence of diabetic foot at risk was 31.3%. Multivariate logistic regression analysis identified age (OR 1.04, 95% CI: 1.01-1.06), smoker (OR 4.11, 95% CI: 1.96-8.63) and duration of diabetes more than 10 years (OR1.77, 95% CI: 1.05-2.98) as risk factors for diabetic foot at risk. Respondents with higher diabetic foot practice score (OR 0.87, 95% CI: 0.77-0.98) have lesser risk of developing diabetic foot at risk. Conclusion: Patients who are older, smoker and/or have chronic diabetes are predicted to be at higher risk to develop the diabetic foot at risk. This study also showed that patients with better foot care practice has lesser risk. Therefore, these are the groups of patients that need to be targeted for early detection and intervention to prevent serious complications.

Sign in / Sign up

Export Citation Format

Share Document