scholarly journals Family History, Consanguinity and Other Risk Factors Affecting the Prevalence of Prediabetes and Undiagnosed Diabetes Mellitus in Overweight and Obese Yemeni Adults

2021 ◽  
Vol Volume 14 ◽  
pp. 4853-4863
Author(s):  
Butheinah A Al-Sharafi ◽  
Ahmed A Qais ◽  
Khalil Salem ◽  
Muneer O Bashaaib
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Family History ◽  
Undiagnosed Diabetes ◽  
Factors Affecting ◽  
Undiagnosed Diabetes Mellitus

scholarly journals Undiagnosed diabetes mellitus and associated factors among adults in Ethiopia: a systematic review and meta-analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Getachew Yideg Yitbarek ◽  
Gashaw Walle Ayehu ◽  
Sintayehu Asnakew ◽  
Ermias Sisay Chanie ◽  
Wubet Alebachew Bayih ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Family History ◽  
Impaired Fasting Glucose ◽  
Associated Factors ◽  
Fasting Glucose ◽  
Undiagnosed Diabetes ◽  
Family History Of Diabetes ◽  
History Of ◽  
Undiagnosed Diabetes Mellitus

AbstractDiabetes has become a major public health problem, with 4.6 million deaths annually. The number of people living with undiagnosed diabetes is on the rise and has a diverse prevalence. Thus, this systematic review and meta-analysis was aimed to synthesize the pooled estimate prevalence of undiagnosed diabetes mellitus, impaired fasting glucose and its associated factors in Ethiopia. The databases Medline, Hinari, Google Scholar, and Google search were used to find potential studies published from January 2013 until January 2021. Extracted data were entered into the excel spreadsheet. The random effects model with Der Simonian-Laird weights was used to assess the pooled estimate of prevalence of undiagnosed diabetes, impaired fasting glucose, and its associated factors. The Cochrane Q-test and I2 statistics were used to screen for statistical heterogeneity. A funnel plot and Egger's statistical test were also used to search for any publication bias (small study effect). After extensive searching of articles on different databases, a total of nine studies were included for this systematic review and meta-analysis. In random effects model, the pooled prevalence of undiagnosed diabetes mellitus and impaired fasting glucose was 5.75%, 95% CI (3.90–7.59%), and 8.94%, 95% CI (2.60–15.28%), respectively. Regarding the associated factors, participants family history of diabetes was significantly associated with diabetes status. The pooled odds of developing diabetes mellitus among participants with a family history of diabetes mellitus were about 3.56 times higher than those without a family history of diabetes mellitus (OR = 3.56, 95% CI (2.23, 5.68)). In this review, the higher prevalence of undiagnosed diabetes mellitus and impaired fasting glucose was observed among adults in Ethiopia. Family history of diabetes was found to have an association with increased risk of diabetes mellitus. Our finding highlights the need of screening at the community level, with special focus on adults with family history of diabetes mellitus.

Prevalence of diagnosed and undiagnosed diabetes mellitus and its risk factors in a population-based study of Qatar

2009 ◽  
Vol 84 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Abdulbari Bener ◽  
Mahmoud Zirie ◽  
Ibrahim M. Janahi ◽  
Abdulla O.A.A. Al-Hamaq ◽  
Manal Musallam ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Population Based ◽  
Undiagnosed Diabetes ◽  
Population Based Study ◽  
Undiagnosed Diabetes Mellitus

scholarly journals C, the diabetics Risk Factors for Type 1 Diabetes Mellitus among children and Adolescents at Suleimani Chronic Diabetes Health Center

2021 ◽  
pp. 56-68
Author(s):  
Pary Mohammad Azize ◽  
Chia H. Sadiq
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 1 Diabetes ◽  
Family History ◽  
Type 1 Diabetes Mellitus ◽  
Children And Adolescents ◽  
Health Center ◽  
Factors Affecting ◽  
Children And Adolescent

Diabetes mellitus is one of the most common chronic health condition worldwide and the most common endocrine disease in children and adolescences. The aim of this study is to find out the risk factors, which lead to pathogenesis of type 1 diabetes mellitus among children and adolescent in diabetes health center Suleimani city. A descriptive cross sectional study was conducted at a special center for Type 1 Diabetes Miletus A questionnaire was developed and administered to a convenience sample of (170 ) mothers or fathers. Descriptive statistics data (frequency, percentage, mean and stander deviation) and also Factorial analysis (principal component analysis) was used in order to identify the effective factors affecting diabetes in children and Adolescents. The finding show that, 39.4 %  of samples were aged between (9-13) years old, which stated as the highest rate among all age groups, while the minority of age was between (1-4) years old, which was equal to 8.2% of the total and the (Mean ±S.D) was equal to 10.44±4.04 respectively. The majority of age at diagnosis was between (5-8) years old, which is 35.3% and their food habit was normal diet, which is 73.5%, while the Sugar diet and Fatty diet were 25.9% and 0.6%y respectively. Most of the participants, 19.4% of  family history was Type 2 diabetes, which was the first rank of the family history and majority of them were Kurdish in nationality. Age at diagnosis and mode of delivery considered as the first factor affect the type 1 diabetics mellitus. The second most common factor effect on diabetes disease in children and adolescents are maternal habit and maternal disease followed by Gestational age at birth and Neonatal disease, then food habits, Neonatal weight was estimated as the fourth component factors affecting Type 1 diabetes mellitus.  Residency and Family history of autoimmune disease were ranked in the fifth line of factor, finally the weakest factor is nationality by total variance of 8.552%. The first years of life is play an important role in triggering and the development of  type 1 diabetes mellitus among children and adolescent , also maternal diseases ( gestational diabetes, pre-eclampsia and perinatal infection during pregnancy), healthy diet during pregnancy and education programs are recommended  

scholarly journals Undiagnosed diabetes mellitus and related factors in East Gojjam (NW Ethiopia) in 2016: a community-based study

2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Amsalu Taye Wondemagegn ◽  
Habtamu Mellie Bizuayehu ◽  
Dagninet Derebe Abie ◽  
Getachew Mengistu Ayalneh ◽  
Tenaw Yimer Tiruye ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Family History ◽  
Gestational Diabetes ◽  
Sedentary Behaviour ◽  
Undiagnosed Diabetes ◽  
Community Based ◽  
Related Factors ◽  
Family History Of Diabetes ◽  
History Of ◽  
Undiagnosed Diabetes Mellitus

<em>Introduction</em>. Currently, diabetes is the second most common non-communicable disease (NCD) in Ethiopia. Its burden is 4.8% in this country, even though three quarter of its population live with undiagnosed diabetes mellitus (DM), which causes complications like heart failure, blood vessels, eyes, kidneys and nerves damages. Early detection of DM is vital for a timely intervention to prevent these life threatening complications. The aim of this study was to assess the prevalence of undiagnosed DM and related factors in East Gojjam, North West Ethiopia, in 2016. <br /><em>Materials and methods.</em> A community-based cross-sectional study was conducted among 757 individuals in East Gojjam from June to September 2016. The sampled population was selected using multi-stage cluster sampling method. Basic data were collected in Amharic (local language) and a pretested interviewer administered the questionnaire. Peripheral blood samples were collected by puncturing the ring finger in order to measure fasting blood glucose. Univarite and multivariate logistic regressions analysis were performed using Statistical Package for Social Sciences (SPSS) software version 20.0. <br /><em>Results</em>. The percentage of undiagnosed DM in the study area was 11.5% (95%CI=9.2, 13.7). The prevalence was 11.3% among male vs. 11.8% among female; 13.4% in urban areas vs. 10.3% in rural areas. The occurrence of undiagnosed DM was mainly associated with older age (AOR=5.99, 95%CI=1.54, 23.24), family history of diabetes (AOR=9.86, 95%CI=4.25, 22.89), history of gestational diabetes (AOR=3.01, 95%CI=1.17, 8.39) and sedentary behaviour &gt;4 hours per day (AOR=2.13, 95%CI=1.04, 4.34). Being non-smoker (AOR=0.05, 95%CI=0.01, 0.17) and unmarried (AOR=0.09, 95%CI=0.02, 0.42) were also predictive characteristics for undiagnosed DM in the study area. <br /><em>Conclusions</em>. In conclusion, this study revealed a relatively high prevalence of undiagnosed DM in the study area. The occurrence of undiagnosed DM was significantly higher when associated with the age of the participants, their marital status, history of hypertension, diabetes family history, history of gestational diabetes mellitus, current smoking practices and sedentary behaviour. Thus, efforts have to be made, particularly by the individuals involved in health practice, to early detect the disease and thereby initiate a suitable therapeutic service, before complications arise.

scholarly journals Undiagnosed Diabetes Prediction With Development of Scoring System Based on Risk Factors

2020 ◽  
Vol 11 (1) ◽  
pp. 9-21
Author(s):  
Irene Febriani
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Risk Score ◽  
Central Obesity ◽  
Prediction Models ◽  
Undiagnosed Diabetes ◽  
Predictive Score ◽  
Undiagnosed Diabetes Mellitus

Undiagnosed Diabetes Mellitus (UDDM) is a person condition where has never been diagnosed with diabetes, but when a blood sugar examination survey shows the criteria for diabetes. Late diagnosis is a major problem for diabetes. In some cases, 50% of patients do not know the condition of diabetes mellitus, so the complications of diabetes mellitus become very severe. This study aimed to analyze dominant risk factors and make a risk score for Undiagnosed Diabetes Mellitus (UDDM). Making a risk score was carried out in 2016 based on secondary data from 2013 Basic Health Research (Riskesdas). The study population was adults aged ≥ 18 years, diagnosed early in diabetes during the 2013 Riskesdas, did not suffer from other chronic / contagious diseases. The sample size analyzed amounted to 18,963 people. The value of β coefficient from the results of multiple logistic regression predictive models was used to develop the score. The accuracy of the diabetes predictive score was assessed by ROC (Receiver Operating Characteristic). 2 prediction models developed into risk scores. Model 1 predictions of UDDM with 8 predictors (AUC 73.13%, sensitivity 29.19%, specificity 90.33%, PPV 25.32%, NPV 91.90%, cutoff ≥30), model 2 predictions of UDDM with 5 predictors (AUC 74.22%, sensitivity of 64.91%, spessivity 67.95%, PPV 18.37%, NPV 94.60%, cutoff 21). Undiagnosed diabetes risk factors and predictors in making scores on model 1 were gender, age, hypertension, body mass index, central obesity, HDL and LDL. In model 2 were gender, age, hypertension, body mass index, central obesity.

scholarly journals 164 Undiagnosed diabetes mellitus in rural communities in Sudan: prevalence and risk factors

2015 ◽  
Vol 21 (3) ◽  
pp. 164-170 ◽  
Author(s):  
S.K.M. Noor ◽  
S.O.E. Bushara ◽  
A.A. Sulaiman ◽  
W.M.Y. Elmadhoun ◽  
M.H. Ahmed
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Rural Communities ◽  
Undiagnosed Diabetes ◽  
Undiagnosed Diabetes Mellitus
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