The challenge of undiagnosed pre-diabetes, diabetes and associated cardiovascular disease

Gossain, Ved V.; Aldasouqi, Saleh

doi:10.1016/j.ijdm.2009.10.004

Cited by 29 publications

(24 citation statements)

References 51 publications

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“…Ineffective screening was cited as a major contributing factor [14] [15] to the high prevalence of undiagnosed DM and PreDM. Hence there is the need for more effecting screening campaigns.…”

Section: Introductionmentioning

confidence: 99%

Detection of Undiagnosed Prediabetes and Diabetes in Dental Patients: A Proposal of a Dental-Office-Friendly Diabetes Screening Tool

Maples¹,

Aldasouqi

Little

et al. 2016

JDM

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Objective: This study was designed to develop a dental-office-friendly diabetes self-screening tool for diabetes mellitus (DM) and prediabetes (PreDM). Methods: Consecutive dental patients, aged 18 years or older, without history of DM or PreDM, completed a 14-question questionnaire without assistance. They subsequently underwent onsite finger-sticks for capillary blood collection for glycohemoglobin (A1c) measurement. Results: Of the total 500 patients who completed the study, 302 were women (60.4%) and 198 were men (39.6%), with a collective mean age of 47.8 (±16.8) years old. The prevalence of PreDM and DM was 19.2% and 1.2%, respectively. Predictors of PreDM or DM included age, >10% above ideal body weight, waist size above 40" for men or 35" for women, reported hypertension, reported abnormal lipids, tingling of hands or feet, and visual symptoms or conditions (blurring, cataracts, glaucoma). Conclusions: This study introduces a newly developed, user-friendly, PreDM and DM self-screening tool, abbreviated as DiDDO (Diabetes detection in the dental office). This screening tool requires no body weighing or BMI calculation (undesirable by dentists) nor laboratory tests or blood pressure measurement, allowing dentists to identify patients at moderate and high risk for DM/PreDM, and perform (or refer for) * Corresponding author. S. Maples et al.26 diagnostic A1c testing. This dental-office-friendly self-screening tool is proposed for validation in other dental populations.

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Section: Introductionmentioning

confidence: 99%

Detection of Undiagnosed Prediabetes and Diabetes in Dental Patients: A Proposal of a Dental-Office-Friendly Diabetes Screening Tool

Maples¹,

Aldasouqi

Little

et al. 2016

JDM

Self Cite

View full text Add to dashboard Cite

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“…Most of them don't know about their diabetic situation. But undiagnosed pre-diabetes and diabetes is a major health problem [16]. Also, ICDDR,B (2009) found that diabetes and pre-diabetic conditions exist as a significant but hidden public health problem in Matlab and suggested that primary prevention may reduce the burden of diabetes in the community [17].…”

Section: Introductionmentioning

confidence: 99%

The Risk Factors of Type 2 Diabetic Patients Attending Rajshahi Diabetes Association, Rajshahi, Bangladesh and Its Primary Prevention

Islam¹,

Rahman²

2012

FPH

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Diabetes is a serious harmful disease. The purpose of this study is to find out the risk factors of Type 2 diabetic patients in Bangladesh. For this purpose, the data are collected from the diabetic patients of Rajshahi Diabetes Association, Bangladesh. To fulfill this objective, chi square test and logistic regression analysis have been used. It is found that diabetes affects more in the age 35 years and over which is 89.7% in which 68.3% have type 2 diabetes. Again, 79.3% of diabetic patients have type 2 diabetes in which females (43.7%) are more affected than males (35.7%). It has been found that age, controlling diabetic through exercise, controlling diabetic through taking medicine and living house of the respondents are significantly associated with the type 2 diabetes of diabetic patients. It is also identified from logistic model that respondent's age, occupation, controlling diabetic through dieting, controlling diabetic through exercise, controlling diabetic through taking medicine, time spending in walking, calorie intake according to diabetic food table and living house of the respondents have statistically significant effect on type 2 diabetes.

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“…Numerous studies have found that the undiagnosed cases of IFG and IGT cause the progression to overt diabetes [21]. There were 10.1% subjects with undiagnosed prediabetes with high mean FBG and FSI level in our study.…”

Section: Discussionmentioning

confidence: 44%

Effect of Demographic Status and Lifestyle Habits on Glycaemic Levels in Apparently Healthy Subjects: A Cross-Sectional Study

Walatara

Athiththan

Hettiaratchi

et al. 2016

Journal of Diabetes Research

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Aim. To identify the effects of sociodemographic status, family history, and lifestyle habits on fasting blood glucose (FBG) and fasting serum insulin (FSI) levels in apparently healthy subjects. Methods. Information was gathered using an interviewer-administered questionnaire from 227 apparently healthy nondiabetic subjects residing in a suburban area in Sri Lanka. Venous blood samples were collected after an overnight fast for FBG and FSI analysis. Correlations and differences were analyzed using SPSS (ver. 17) software. Results. The majority of the subjects were females, having secondary or tertiary education, monthly income ≥Rs. 25,000 (USD 175), and a positive family history of diabetes. Among the subjects, 10.1% were identified as prediabetics and the majority had familial diabetes with monthly income ≥Rs. 25,000 (USD 175). Subjects with high income had significantly higher mean FBG. In addition FBG had a significant correlation with age. Males and subjects with less than 6 hours/day sleeping duration at night had significantly higher FBG. Subjects with less vigorous physical activity and longer sitting duration had significantly higher FSI levels. Conclusions. Increasing age, higher income, positive familial history of diabetes, sedentary lifestyle, and short sleep at night have positive impact on glycaemic status in apparently healthy subjects.

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The challenge of undiagnosed pre-diabetes, diabetes and associated cardiovascular disease

Cited by 29 publications

References 51 publications

Detection of Undiagnosed Prediabetes and Diabetes in Dental Patients: A Proposal of a Dental-Office-Friendly Diabetes Screening Tool

Detection of Undiagnosed Prediabetes and Diabetes in Dental Patients: A Proposal of a Dental-Office-Friendly Diabetes Screening Tool

The Risk Factors of Type 2 Diabetic Patients Attending Rajshahi Diabetes Association, Rajshahi, Bangladesh and Its Primary Prevention

Effect of Demographic Status and Lifestyle Habits on Glycaemic Levels in Apparently Healthy Subjects: A Cross-Sectional Study

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