scholarly journals Role of Adiposity and Lifestyle in the Relationship Between Family History of Diabetes and 20-Year Incidence of Type 2 Diabetes in U.S. Women

Diabetes Care ◽  
2010 ◽  
Vol 33 (4) ◽  
pp. 763-767 ◽  
Author(s):  
E. van 't Riet ◽  
J. M. Dekker ◽  
Q. Sun ◽  
G. Nijpels ◽  
F. B. Hu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Family History ◽  
Family History Of Diabetes ◽  
History Of ◽  
The Relationship

scholarly journals Vitamin D status and risk of type 2 diabetes in the Norwegian HUNT cohort study: does family history or genetic predisposition modify the association?

2021 ◽  
Vol 9 (1) ◽  
pp. e001948
Author(s):  
Marion Denos ◽  
Xiao-Mei Mai ◽  
Bjørn Olav Åsvold ◽  
Elin Pettersen Sørgjerd ◽  
Yue Chen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Family History ◽  
Genetic Predisposition ◽  
Effect Modification ◽  
P Value ◽  
Family History Of Diabetes ◽  
Increased Risk ◽  
History Of

IntroductionWe sought to investigate the relationship between serum 25-hydroxyvitamin D (25(OH)D) level and the risk of type 2 diabetes mellitus (T2DM) in adults who participated in the Trøndelag Health Study (HUNT), and the possible effect modification by family history and genetic predisposition.Research design and methodsThis prospective study included 3574 diabetes-free adults at baseline who participated in the HUNT2 (1995–1997) and HUNT3 (2006–2008) surveys. Serum 25(OH)D levels were determined at baseline and classified as <50 and ≥50 nmol/L. Family history of diabetes was defined as self-reported diabetes among parents and siblings. A Polygenic Risk Score (PRS) for T2DM based on 166 single-nucleotide polymorphisms was generated. Incident T2DM was defined by self-report and/or non-fasting glucose levels greater than 11 mmol/L and serum glutamic acid decarboxylase antibody level of <0.08 antibody index at the follow-up. Multivariable logistic regression models were applied to calculate adjusted ORs with 95% CIs. Effect modification by family history or PRS was assessed by likelihood ratio test (LRT).ResultsOver 11 years of follow-up, 92 (2.6%) participants developed T2DM. A higher risk of incident T2DM was observed in participants with serum 25(OH)D level of<50 nmol/L compared with those of ≥50 nmol/L (OR 1.72, 95% CI 1.03 to 2.86). Level of 25(OH)D<50 nmol/L was associated with an increased risk of T2DM in adults without family history of diabetes (OR 3.87, 95% CI 1.62 to 9.24) but not in those with a family history (OR 0.72, 95% CI 0.32 to 1.62, p value for LRT=0.003). There was no effect modification by PRS (p value for LRT>0.23).ConclusionSerum 25(OH)D<50 nmol/L was associated with an increased risk of T2DM in Norwegian adults. The inverse association was modified by family history of diabetes but not by genetic predisposition to T2DM.

scholarly journals Differential expression of micro RNA-29 family in non-diabetic adults of diabetic and non-diabetic parents

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Uzair Abbas ◽  
Bushra Imdad ◽  
Sikander Adil Mughal ◽  
Israr Ahmed Baloch ◽  
Afshan Mehboob Khan ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Family History ◽  
Positive Family History ◽  
Cross Sectional Study ◽  
Vital Role ◽  
Micro Rna ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
History Of

Abstract Objective MicroRNAs are known to regulate 60% of genes at post translational level. MicroRNAs including Micro RNA-29 family play a vital role in cellular activities and have validate role in numerous metabolic disorders inclusive of diabetes mellitus and its complications. While micro RNA profile changes years before the occurrence of disease. This cross-sectional study was conducted in non-diabetic adults of diabetic and non-diabetic parents to explore the early changes in expression of micro RNA-29 family as it can be served as early biomarker of type 2 diabetes in non-diabetic adults. This study was conducted from January 2019 to January 2021. Micro RNA was extracted from plasma of 50 participants and expression was compared through qPCR. While data was analyzed through SPSS version 21.0. Results 29a and 29b had lower expression in participants with family history of DM compared to those having no family history of DM (P < 0.0001). While micro RNA 29c was found to be significantly higher in participants with positive family history of type 2 diabetes as compared to those without family history of diabetes (P = 0.001).

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 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 Coffee consumption and type 2 diabetes mellitus

Medicina ◽  
2009 ◽  
Vol 45 (1) ◽  
pp. 61
Author(s):  
Lina Radzevičienė ◽  
Rytas Ostrauskas
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Family History ◽  
Lower Risk ◽  
Conditional Logistic Regression ◽  
Coffee Consumption ◽  
Family History Of Diabetes ◽  
History Of

The aim of the study was to determine the association between coffee consumption and the risk of type 2 diabetes mellitus. Material and methods. A case-control study included 234 cases with newly confirmed diagnosis of type 2 diabetes mellitus and 468 controls who were free of the disease in 2001. Cases and controls were matched by gender and age (±5 years). Data on age, education level, occupation status, marital status, family history of diabetes, lifestyle (dietary habits, smoking habits, coffee consumption, alcohol consumption, physical activity), and stress were collected via a questionnaire. Variables were retained in models as confounders when their inclusion changed the value of the OR by more than 10% in any exposure category. Conditional logistic regression to compute the odds ratio (OR), 95% confidence interval (CI), and P for trend was used. Results. After adjustment for possible confounders (family history of diabetes, body mass index, eating speed, morning exercise, cigarette smoking, years of education, and stress), a statistically significant relationship was observed between type 2 diabetes mellitus and coffee consumption. Individuals consuming four or more cups of coffee per day were at lower risk of 2 diabetes mellitus (OR=0.51; 95% CI, 0.27–0.97) compared to those who consumed one or less than one cup of coffee per day. Conclusion. Habitual coffee consumption of four or more cups per day might be related to the lower risk of type 2 diabetes mellitus.

scholarly journals Renal outcomes and prognostic factors in patients with type-2 diabetes and chronic kidney disease confirmed by renal biopsy

2021 ◽  
Vol 12 ◽  
pp. 204062232110523
Author(s):  
Na Jing ◽  
Mengxing Pan ◽  
Yi Song ◽  
Feng Guo ◽  
Haohao Zhang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Prognostic Factors ◽  
Family History ◽  
Kidney Disease ◽  
Renal Disease ◽  
Family History Of Diabetes ◽  
Renal Outcomes ◽  
History Of

Aim: To evaluate the renal outcomes and prognostic factors among patients with type-2 diabetes (T2D) and biopsy-confirmed diabetic nephropathy (DN), non-diabetic renal disease (NDRD) and DN mixed with NDRD (MIX). Design and Methods: Patients with both T2D and chronic kidney disease (CKD) who underwent renal biopsy between January 2014 and December 2016 were recruited in this prospective observational study. Participants were divided into DN group, NDRD group, or MIX group according to the baseline pathological diagnosis. The primary endpoint was a composite renal event of end-stage renal disease (ESRD) or ⩾ 40% reduction in estimated glomerular filtration rate (eGFR). Results: Among the 292 participants included, 153 (52.4%) belonged to the DN group, 30 (10.3%) belonged to the NDRD group, and 109 (37.3%) belonged to the MIX group. During the median follow-up of 27 months, the adverse renal events occurred in 132 (44.2%) patients. Compared with NDRD group, the multiple adjusted hazard ratios (HRs) for renal events in patients with DN and MIX groups were 3.900 (95% confidence interval [CI]: 1.103–13.788) and 2.691 (95% CI: 0.662–10.936), respectively. Baseline lower eGFR (HR: 1.159, 95% CI: 1.060–1.266), severe proteinuria (HR: 2.047, 95% CI: 1.227–3.416), lower hemoglobin (HR: 1.170, 95% CI: 1.008–1.267), and a family history of diabetes (HR: 1.138, 95% CI: 1.008–2.285) were independent predictors for adverse renal outcomes in patients with DN. Conclusion: In patients with T2D and CKD, pure DN and MIX group displayed a worse renal prognosis than NDRD group. Worse renal function, severe proteinuria, lower hemoglobin, and a family history of diabetes may be associated with adverse renal outcomes in patients with DN.

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