scholarly journals Family History of Diabetes, Awareness of Risk Factors, and Health Behaviors Among African Americans

2007 ◽  
Vol 97 (5) ◽  
pp. 907-912 ◽  
Author(s):  
Kesha Baptiste-Roberts ◽  
Tiffany L. Gary ◽  
Gloria L.A. Beckles ◽  
Edward W. Gregg ◽  
Michelle Owens ◽  
...  
Keyword(s):  
Risk Factors ◽  
Family History ◽  
African Americans ◽  
Health Behaviors ◽  
Family History Of Diabetes ◽  
History Of

scholarly journals Incidence of diabetes mellitus and associated risk factors in the adult population of the Basque country, Spain

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Inés Urrutia ◽  
◽  
Alicia Martín-Nieto ◽  
Rosa Martínez ◽  
J Oriol Casanovas-Marsal ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Family History ◽  
Basque Country ◽  
Adult Population ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Family History Of Diabetes ◽  
History Of ◽  
Incident Cases

AbstractThe aim of this study was to estimate the incidence of diabetes mellitus in the Basque Country and the risk factors involved in the disease by reassessing an adult population after 7 years of follow-up. In the previous prevalence study, 847 people older than 18 years were randomly selected from all over the Basque Country and were invited to answer a medical questionnaire, followed by a physical examination and an oral glucose tolerance test. In the reassessment, the same variables were collected and the resulting cohort comprised 517 individuals of whom 43 had diabetes at baseline. The cumulative incidence of diabetes was 4.64% in 7 years and the raw incidence rate was 6.56 cases/1000 person-years (95%CI: 4.11–9.93). Among the incident cases, 59% were undiagnosed. The most strongly associated markers by univariate analyses were age > 60 years, dyslipidaemia, prediabetes and insulin resistance. We also found association with hypertension, obesity, family history of diabetes and low education level. Multivariate analysis adjusted for age and sex showed that a set of risk factors assessed together (dyslipidaemia, waist-to-hip-ratio and family history of diabetes) had great predictive value (AUC-ROC = 0.899, 95%CI: 0.846–0.953, p = 0.942), which suggests the need for early intervention before the onset of prediabetes.

scholarly journals Differing Contributions of Classical Risk Factors to Type 2 Diabetes in Multi-Ethnic Malaysian Populations

2018 ◽  
Vol 15 (12) ◽  
pp. 2813
Author(s):  
Noraidatulakma Abdullah ◽  
Nor Abdul Murad ◽  
John Attia ◽  
Christopher Oldmeadow ◽  
Mohd Kamaruddin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Family History ◽  
Characteristic Curve ◽  
Lifestyle Factors ◽  
Predictive Utility ◽  
Family History Of Diabetes ◽  
History Of

The prevalence of type 2 diabetes is escalating rapidly in Asian countries, with the rapid increase likely attributable to a combination of genetic and lifestyle factors. Recent research suggests that common genetic risk variants contribute minimally to the rapidly rising prevalence. Rather, recent changes in dietary patterns and physical activity may be more important. This nested case-control study assessed the association and predictive utility of type 2 diabetes lifestyle risk factors in participants from Malaysia, an understudied Asian population with comparatively high disease prevalence. The study sample comprised 4077 participants from The Malaysian Cohort project and included sub-samples from the three major ancestral groups: Malay (n = 1323), Chinese (n = 1344) and Indian (n = 1410). Association of lifestyle factors with type 2 diabetes was assessed within and across ancestral groups using logistic regression. Predictive utility was quantified and compared between groups using the Area Under the Receiver-Operating Characteristic Curve (AUC). In predictive models including age, gender, waist-to-hip ratio, physical activity, location, family history of diabetes and average sleep duration, the AUC ranged from 0.76 to 0.85 across groups and was significantly higher in Chinese than Malays or Indians, likely reflecting anthropometric differences. This study suggests that obesity, advancing age, a family history of diabetes and living in a rural area are important drivers of the escalating prevalence of type 2 diabetes in Malaysia.

scholarly journals New Onset Diabetes after Transplant – Risk Factors, Clinical Profile and Outcome

2018 ◽  
Vol 2 (1) ◽  
pp. 35-40
Author(s):  
Sakthirajan R ◽  
Dhanapriya J ◽  
Dineshkumar T ◽  
Balasubramaniyan T ◽  
Gopalakrishnan N ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Family History ◽  
Fasting Blood Glucose ◽  
Hcv Infection ◽  
Clinical Profile ◽  
Family History Of Diabetes ◽  
Onset Diabetes ◽  
History Of ◽  
New Onset

Background: New onset diabetes after transplant (NODAT) remains one among the significant threats to both renal allograft and patient survival. The aim of this study was to analyse the clinical profile and risk factors for NODAT.Methods: This prospective observational study involved patients who underwent renal transplantation in our centre between 2010 and 2015.Results: During the mean follow up period of 18 ± 6 months, incidence of NODAT was 26.6% and the cumulativeincidence was highest in the first year after transplant. Recipient age, pre transplant impaired fasting glucose, Hepatitis C virus (HCV) infection, family history of diabetes, tacrolimus, post transplant hypertriglyceridemia and metabolic syndrome were found to be statistically significant risk factors for NODAT. In Cox multivariate regression analysis, age and family history of diabetes were found to be independent risk factors for NODAT. Fasting C-peptide level underlines insulin resistance as predominant mechanism for NODAT in two third of patients. There were higher incidence of urinary tract infection in the NODAT patients. NODAT was found to be an independent risk factor for fungal infection and 10 year cardiovascular risk in the renal recipients. There was no significant impact of NODAT on short term graft and patient survival.Conclusion: Age, pre-transplant fasting blood glucose, family history of diabetes, HCV infection and tacrolimus were found to be the important risk factors, with insulin resistance as the predominant mechanism for NODAT.

scholarly journals Prevalence and Risk Factors for Glucose Intolerance among Saudi Women with Gestational Diabetes

2018 ◽  
Vol 2018 ◽  
pp. 1-5 ◽  
Author(s):  
Hayfaa Wahabi
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Gestational Diabetes ◽  
Glucose Intolerance ◽  
Fasting Blood Glucose ◽  
Positive Family History ◽  
Family History Of Diabetes ◽  
Saudi Women ◽  
History Of ◽  
One Year

Objectives. The objective of this study was to determine the incidence and risk factors of glucose intolerance one year after delivery in women with gestational diabetes (GDM). Methods. All women who had GDM and completed one year since delivery at King Khalid University Hospital were contacted to participate in the study. Based on to the American Diabetes Association criteria and the results of fasting blood glucose (FPG) and HbA1c, participants were classified into three groups: diabetic, impaired glucose tolerance (IGT), and normal. The incidence of diabetes and IGT was calculated. Clinical, biochemical, and sociodemographic predictors of glucose intolerance were compared between the three groups. Odds ratio (OR) for risk factors with P value less than 0.05 was calculated. Results. From a total 316 eligible women, 133 fulfilled the inclusion criteria and agreed to participate in the study. From the study participants, 58 (44%) women were normoglycemic, 60 (45%) women had IGT, and 15 (11%) women were diabetic. The odds of developing IGT or diabetes increased to nearly fourfold when women needed insulin for the control of GDM during pregnancy (OR 3.8, 95% CI 0.81–18.3, P=0.08) and to nearly one-and-a-half-fold when they have positive family history of T2DM (OR 1.2, 95% CI 0.74–2.09, P=0.40). Nevertheless, none of the odds ratios was statistically significant. Conclusion. The incidence of postpartum hyperglycemia (diabetes and IGT) is very high in Saudi women with GDM. Family history of diabetes and insulin treatment of GDM may be predictors of postpartum hyperglycemia.

Family history of diabetes, autoimmunity, and risk factors for cardiovascular disease among children with diabetes in the SEARCH for Diabetes in Youth Study

2007 ◽  
Vol 8 (6) ◽  
pp. 354-361 ◽  
Author(s):  
Lisa K Gilliam ◽  
Angela D Liese ◽  
Clifford A Bloch ◽  
Cralen Davis ◽  
Beverly M Snively ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Family History ◽  
Family History Of Diabetes ◽  
History Of ◽  
Youth Study ◽  
Diabetes In Youth

scholarly journals Potential risk factors for developing diabetes mellitus type 2

2010 ◽  
Vol 63 (3-4) ◽  
pp. 231-236 ◽  
Author(s):  
Dusica Zivanovic ◽  
Sandra Sipetic ◽  
Marina Stamenkovic-Radak ◽  
Jelena Milasin
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Family History ◽  
Physical Inactivity ◽  
Positive Family History ◽  
Diabetes Type 2 ◽  
Diabetes Type ◽  
Family History Of Diabetes ◽  
History Of

Introduction Type 2 diabetes mellitus is a common multifactorial genetic syndrome, which is determined by several genes and environmental factors. The aim of the present study was to investigate the presence of risk factors for developing diabetes type 2 among diabetic individuals and to compare the presence of risk factors among diabetic individuals with and without positive family history for type 2 diabetes. Material and methods This study was conducted in Cuprija during the period from February to June 2002. The case group included 137 individuals having diagnosis type 2 diabetes. The control group included 129 subjects having the following diagnoses: hypertension, angina pectoris, chronic obstructive lung disease, gastric ulcer or duodenal ulcer. All participants were interviewed at the Medical Center Cuprija using structural questionnaire. The data were collected regarding demographic characteristics, exposure to various chemical and physical agents, stress, smoking, obesity, physical inactivity and family history of diabetes. In the statistical analysis chi square test was used. Results The diabetic individuals were statistically significantly older (40 and more years old) (p=0,000), and they came from rural areas more frequently (p=0,006) than the individuals without diabetes. Significantly more diabetics had lower educational level (p=0,000) and they were agriculture workers and housewives significantly more frequently (p=0,000) than nondiabetic individuals. Furthermore, obesity (p=0,000) and physical inactivity (p=0,003) were significantly more frequent among the diabetic individuals than the nondiabetics. The diabetic individuals had significanly (p=0,000) more numbers of relatives with diabetes mellitus type 2 than the nondiabetics. The diabetic individuals with positive family history of diabetes were significantly older (p=0,021) and more frequently from urban areas (p=0,018) than the diabetic individuals without the positive family history of diabetes. Also they were significantly less exposed to physical agents (p=0,004). Discussion In our study, like in many others, age, place of residence, education, occupation, obesity, physical inactivity, positive family history of diabetes type 2 and exposure to physical agents were identified as potential risk factors for diabetes type 2. Conclusion Different risk factors are probably responsible for developing type 2 diabetes among individuals with and without positive family history of type 2 diabetes.

scholarly journals Family History of Diabetes and Pancreatic Cancer as Risk Factors for Pancreatic Cancer: The PACIFIC Study

2013 ◽  
Vol 22 (10) ◽  
pp. 1913-1917 ◽  
Author(s):  
Melissa A. Austin ◽  
Elena Kuo ◽  
Stephen K. Van Den Eeden ◽  
Margaret T. Mandelson ◽  
Teresa A. Brentnall ◽  
...  
Keyword(s):  
Risk Factors ◽  
Pancreatic Cancer ◽  
Family History ◽  
Family History Of Diabetes ◽  
The Pacific ◽  
History Of

scholarly journals Post-transplantation diabetes mellitus after kidney transplantation and its related factors in Iranian patients: a retrospective single-center study

2020 ◽  
Vol 10 (2) ◽  
pp. e14-e14
Author(s):  
Elham Ramezanzadeh ◽  
Azin Tirbakhsh ◽  
Ali Monfared ◽  
Masoud Khosravi ◽  
Mohammadkazem Lebadi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Family History ◽  
Beta Blocker ◽  
Cumulative Incidence ◽  
Single Center ◽  
Post Transplantation ◽  
Family History Of Diabetes ◽  
Kidney Recipients ◽  
History Of

Introduction: Post-transplantation diabetes mellitus (PTDM) is a metabolic complication following transplantation, which is associated with cardiovascular disease and leads to increased post-ttransplantation morbidity and mortality. Objectives: To identify the incidence of PTDM and its risk factors in kidney recipients at a single-center in Iran. Patients and Methods: This retrospective study was conducted on 379 kidney recipients with a negative history of diabetes mellitus who underwent transplant before January 2017. PTDM was defined according to the diagnostic criteria of the American Diabetes Association (ADA) and the World Health Organization (WHO). Data on demographic, clinical characteristics and laboratory parameters were collected. Kaplan-Mayer analysis was used to evaluate the cumulative incidence of PTDM. The association between risk factors and PTDM incidence was identified with stepwise Cox regression. Results: The cumulative incidence of PTDM during a 24-month follow-up was 30.1% (95% CI: 25.6-34.8). By univariate analysis, modifiable or non-modifiable risk factors for PTDM development included recipient age, body mass index (BMI), marital status, family history of diabetes, smoking, type of transplant, hepatitis C virus (HCV), cytomegalovirus (CMV), transplant rejection, TG, tacrolimus, cyclosporine and beta blocker. In this study, family history of diabetes, type of transplant, HCV, CMV, TG, tacrolimus, and beta blocker were predictors of development of PTDM in Cox proportional hazard models. Conclusion: The incidence of PTDM was high. Identification of risk factors determines appropriate strategies for PTDM incidence risk reduction.

Sign in / Sign up

Export Citation Format

Share Document