First-degree Family History Of Diabetes Research Articles

Glycemic control and associated factors among type 2 diabetes mellitus patients: a cross-sectional study of Azar cohort population

BackgroundDespite the growing prevalence of diabetes and its complications, there is a dearth of data regarding factors associated with glycemic control. Therefore, in this cross-sectional study, we aimed to identify factors influencing glycemic control in patients with type 2 diabetes mellitus (T2DM) in the Iranian population.MethodsThis cross-sectional study was conducted among the Azar cohort population and the glycemic control status of patients with T2DM was investigated. Possible risk factors including age, sex, marital status, educational level, smoking status, sleep duration, family history of diabetes and hypertension, socioeconomic status, physical activity level, and co-existence of other chronic diseases and their relationship with glycemic control status were also assessed. Multivariate logistic regression analysis was used to identify determinants of glycemic control.ResultsAmong 1,710 T2DM patients (60.2% female), the overall prevalence of poor glycemic control was 56.8%. In the unadjusted logistic regression analysis model, a low wealth score index significantly increased the risk of poor glycemic control (OR: 1.49;1.10–2.02). Variables significantly associated with poor glycemic control even after adjusting for confounding factors were first-degree family history of diabetes (OR: 1.34; 1.08–1.65), and sleep duration (OR: 1.29 ;1.02–1.62 for 6.6-8 h/d; OR:1.42;1.10–1.88 for > 8 h/d). Interestingly, we found that the co-existence of ≥ 3 chronic diseases with diabetes decreased the risk of poor glycemic control.ConclusionsIn the current study, most of the patients with T2DM had uncontrolled glycemic control. Due to the individual and social costs of diabetes complications, it is necessary to suggest tailored and effective interventions for controlling blood glucose levels in people with diabetes.

Dietary patterns associated with the risk of type 2 diabetes in women with and without a history of gestational diabetes mellitus: A pilot study

Introduction: There is limited evidence on dietary patterns and the risk of type 2 diabetes (T2D) in women with a history of gestational diabetes mellitus (GDM) compared to their non-GDM counterparts, especially in the Asian population. The pilot study investigated dietary patterns in women with a history of GDM (HGDM) and without a history of GDM (non-HGDM), and the association with T2D risk. Methods: This comparative cross-sectional study involved 64 women (32 HGDM, 32 non-HGDM). Food intake was assessed using a validated food frequency questionnaire. Principal component analysis derived the dietary patterns. T2D risk score was determined using the Finnish Diabetes Risk Score tool. Results: HGDM group had significantly higher proportion of first-degree family history of diabetes; higher risk of T2D and better diabetes knowledge; lower gestational weight gain and postpartum weight retention; and consumed more fast food than nonHGDM. ‘Rice-noodle-pasta-meat’ dietary pattern was significantly associated with increased T2D risk after adjusting for age (β=0.272, p=0.032). ‘Bread-cereals-fast food-meat’ dietary pattern was positively and significantly associated with T2D risk after adjusting for confounders, including age, education level, family history of diabetes, diabetes knowledge score, gestational weight gain, and postpartum weight retention (β=0.251, p=0.012). Conclusion: Dietary patterns high in bread, cereals and cereal products, fast food and meat, as well as rice, noodle, pasta and meat were associated with an elevated T2D risk. A more extensive study is warranted to establish the association between dietary patterns and risk of T2D, focusing on women with a history of GDM.

Polygenic Risk of Prediabetes, Undiagnosed Diabetes, and Incident Type 2 Diabetes Stratified by Diabetes Risk Factors.

Early diagnosis of type 2 diabetes is crucial to reduce severe comorbidities and complications. Current screening recommendations for type 2 diabetes include traditional risk factors, primarily body mass index (BMI) and family history, however genetics also plays a key role in type 2 diabetes risk. It is important to understand whether genetic predisposition to type 2 diabetes modifies the effect of these traditional factors on type 2 diabetes risk. This work aimed to investigate whether genetic risk of type 2 diabetes modifies associations between BMI and first-degree family history of diabetes with 1) prevalent prediabetes or undiagnosed diabetes; and 2) incident confirmed type 2 diabetes. We included 431 658 individuals aged 40 to 69 years at baseline of multiethnic ancestry from the UK Biobank. We used a multiethnic polygenic risk score for type 2 diabetes (PRST2D) developed by Genomics PLC. Prediabetes or undiagnosed diabetes was defined as baseline glycated hemoglobin greater than or equal to 42 mmol/mol (6.0%), and incident type 2 diabetes was derived from medical records. At baseline, 43 472 participants had prediabetes or undiagnosed diabetes, and 17 259 developed type 2 diabetes over 15 years follow-up. Dose-response associations were observed for PRST2D with each outcome in each category of BMI or first-degree family history of diabetes. Those in the highest quintile of PRST2D with a normal BMI were at a similar risk as those in the middle quintile who were overweight. Participants who were in the highest quintile of PRST2D and did not have a first-degree family history of diabetes were at a similar risk as those with a family history who were in the middle category of PRST2D. Genetic risk of type 2 diabetes remains strongly associated with risk of prediabetes, undiagnosed diabetes, and future type 2 diabetes within categories of nongenetic risk factors. This could have important implications for identifying individuals at risk of type 2 diabetes for prevention and early diagnosis programs.

A clinical model and nomogram for early prediction of gestational diabetes based on common maternal demographics and routine clinical parameters.

We aimed to develop a risk prediction model for gestational diabetes mellitus (GDM) based on the common maternal demographics and routine clinical variables in Chinese population. Individual information was collected from December 2018 to October 2019 by a pretested questionnaire on demographics, medical and family history, and lifestyle factors. Multivariable logistic regression was performed to establish a predictive model for GDM by variables in pre- and early pregnancy. The consistency and discriminative validity of the model were evaluated by Hosmer-Lemeshow goodness-of-fit testing and ROC curve analysis. Internal validation was appraised by fivefold cross-validation. Clinical utility was assessed by decision curve analysis. Total 3263 pregnant women were included with 17.2% prevalence of GDM. The model equation was: LogitP = -11.432 + 0.065 × maternal age (years) + 0.061 × pre-pregnancy BMI (kg/m2 ) + 0.055 × weight gain in early pregnancy (kg) + 0.872 × history of GDM + 0.336 × first-degree family history of diabetes +0.213 × sex hormone usages during pre- or early pregnancy + 1.089 × fasting glucose (mmol/L) + 0.409 × triglycerides (mmol/L) + 0.082 × white blood cell count (109/L) + 0.669 × positive urinary glucose. Homer-Lemeshow goodness-of-fit testing indicated a good consistency between predictive and actual data (p = 0.586). The area under the ROC curve (AUC) was 0.720 (95% CI: 0.697 ~ 0.744). Cross-validation suggested a good internal validity of the model. A nomogram has been made to establish an easy to use scoring system for clinical practice. The predictive model of GDM exhibited well acceptable predictive ability, discriminative performance, and clinical utilities. The project was registered in clinicaltrial.gov.com with identifier of NCT03922087.

A multicenter prospective study of early gestational diabetes mellitus: Rates, severity, and risk factors based on IADPSG-defined fasting glycemia.

To describe the epidemiology of early gestational diabetes mellitus (GDM) based on the International Association of Diabetes and Pregnancy Study Groups (IADPSG) defined fasting glycemia. A prospective multicenter study testing fasting venous plasma glucose (FPG) in women aged 18-45years between 6 and 23+6 weeks of pregnancy in secondary health facilities in Ondo State, Nigeria. Early GDM was defined using the IADPSG threshold for fasting hyperglycemia, and its severity was examined. Potential risk factors for early GDM were assessed using logistic regression analysis. Of the 8915 women who underwent FPG testing, the prevalence of early GDM was 12.5% (11.9%-13.3%). Multivariable analysis identified a dose-response association between body mass index (BMI) (calculated as weight in kilograms divided by the square of height in meters) and early GDM, with a BMI of 35 or more (adjusted odds ratio [aOR] 1.92, 95% confidence interval [CI] 1.03-3.55) associated with early GDM. Primiparity (aOR 1.49, 95% CI 1.25-1.76), multiparity (aOR 1.73, 95% CI 1.47-2.04), and a first-degree family history of diabetes (aOR 1.60, 95% CI 1.27-2.02) were associated with significantly higher odds of early GDM. This study established the prevalence, severity and risk factors for early GDM in a specific country that potentially represents a global region with no previous relevant data.

The Joint Public Health Impact of Family History of Diabetes and Cardiovascular Disease among Adults in the United States: A Population-Based Study

Introduction: Family history is an established risk factor for both cardiovascular disease (CVD) and diabetes; however, no study has presented population-based prevalence estimates of family histories of CVD and diabetes and examined their joint impact on prevalence of diabetes, CVD, cardiometabolic risk factors, and mortality risk. Methods: We analyzed data from a representative sample of the US adult population including 29,440 participants from the National Health and Nutrition Examination Survey (2007–2018) and assessed self-reported first-degree family history of diabetes and CVD (premature heart disease before age of 50 years) as well as meeting criteria and/or having risk factors for CVD and diabetes. Results: Participants with joint family history exhibit 6.5 greater odds for having both diseases and are diagnosed with diabetes 6.6 years earlier than participants without family history. Healthy participants without prevalent CVD or diabetes but with joint family history exhibit a greater prevalence of diabetes risk factors compared to no family history counterparts. Joint family history is associated with an increase in all-cause mortality, but with no interactive effect. Conclusion: Over 44% of the US adult population has a family history of CVD and/or diabetes that is comparable in risk to common cardiometabolic risk factors. This wide presence of high-risk family history and its simplicity of ascertainment suggests that clinical and public health efforts should collect and act on joint family history of CVD and diabetes to improve population efforts in the prevention and early detection of these common chronic diseases.

First-degree family history of diabetes is associated with nonalcoholic fatty liver disease independent of glucose metabolic status

BackgroundThe first-degree relatives of patients with diabetes (FDRs) share a common genetic background with patients with diabetes. Insulin resistance is recognized as a common contributor to diabetes and nonalcoholic fatty liver disease (NAFLD). The present study aimed to investigate the association between a first-degree family history of diabetes (FHD) and NAFLD and the influence of glucose metabolic status. MethodsThe present work analyzed a part of the baseline data of the REACTION study conducted in a community population. A total of 11,162 participants with an average age of 55.57 ± 9.66 years were enrolled, including 9870 non-FDRs and 1292 FDRs. First-degree FHD was defined as at least one patient with diabetes among parents, siblings or children. The fatty liver index (FLI) was calculated to identify NAFLD. ResultsThe proportions of subjects without NAFLD, with intermediate FLI, and with NAFLD differed significantly between non-FDRs and FDRs (P < 0.001). FLI was one of the metabolic factors independently associated with first-degree FHD (P = 0.006). Multivariate variance analysis revealed positive associations of first-degree FHD and glucose metabolic status (both P < 0.001) with FLI, which were independent of each other (P for interaction = 0.182). Multiple stepwise linear regression analysis identified that first-degree FHD was independently and positively associated with FLI in men, premenopausal women, and postmenopausal women (all P < 0.05). ConclusionA first-degree FHD was an independent risk factor for NAFLD. Regardless of the status of glucose metabolism, FDRs were more susceptible to NAFLD.

Associations of early-life exposure to famine with abdominal fat accumulation are independent of family history of diabetes and physical activity.

The present study aimed to investigate the association of early-life exposure to famine with abdominal fat accumulation and function and further evaluate the influence of first-degree family history of diabetes and physical activity on this association. The present work analysed parts of the REACTION study. A total of 3033 women were enrolled. Central obesity was defined as waist circumferences (W) ≥ 85 cm. Chinese visceral adiposity index (CVAI) was used to evaluate visceral adipose distribution and function. Partial correlation analysis showed BMI, W, glycated Hb and CVAI were associated with early-life exposure to famine (both P < 0·05). Logistic regression showed that the risks of overall overweight/obesity and central obesity in fetal, early-childhood, mid-childhood and late-childhood exposed subgroups were increased significantly (all P < 0·05). Compared with the non-exposed group, the BMI, W and CVAI of fetal, early- to late-childhood exposed subgroups were significantly increased both in those with or without first-degree family history of diabetes and in those classified as physically active or inactive, respectively (all P < 0·05). The associations of BMI, W and CVAI with early-life exposure to famine were independent of their associations with first-degree family history of diabetes (all P < 0·01) or physical activity status (all P < 0·001). Early-life exposure to famine contributed to abdominal fat accumulation and dysfunction, which was independent of the influence of genetic background and exercise habits. Physical activity could serve as a supplementary intervention for women with high risk of central obesity.

Case report: adult onset diabetes with partial pancreatic agenesis and congenital heart disease due to a de novo GATA6 mutation

BackgroundMutations in GATA6 are the most frequent cause of pancreatic agenesis. Most cases present with neonatal diabetes mellitus.Case presentationThe case was a female born after an uncomplicated pregnancy and delivery in a non-consanguineous family (3.59 kg, 70th percentile). Severe cardiac malformations were diagnosed at two and a half months old. No hyperglycaemic episodes were recorded in the neonatal period. Diabetes was diagnosed at 21 years due to the detection of incidental glycosuria. She had a low but detectable C-peptide level at diagnosis. Anti-GAD and Islet-cell antibodies were negative and she failed oral hypoglycaemic therapy and was started on insulin. Abdominal MRI revealed the absence of most of the neck, body, and tail of pancreas with normal pancreas elastase levels. Criteria for type 1 or type 2 diabetes were not fulfilled, therefore a next generation sequencing (NGS) panel was performed. A novel heterozygous pathogenic GATA6 mutation (p.Tyr235Ter) was identified. The GATA6 variant was not detected in her parents, implying that the mutation had arisen de novo in the proband.ConclusionRarely GATA6 mutations can cause adult onset diabetes. This report highlights the importance of screening the GATA6 gene in patients with adult-onset diabetes, congenital cardiac defects and pancreatic agenesis with no first-degree family history of diabetes. It also emphasizes the importance of genetic counselling in these patients as future offspring will be at risk of inheriting the variant and developing GATA6 anomalies.

Family history of diabetes in both parents is strongly associated with impaired residual β-cell function in Japanese type2 diabetes patients.

Aims/IntroductionThe objective of the present study was to clarify the association of the type and number of first‐degree family history of diabetes (FHD) with the clinical characteristics, especially with residual β‐cell function, in type 2 diabetes patients.Materials and MethodsA total of 1,131 type 2 diabetes patients were recruited and divided into four groups according to FHD information as follows: (i) patients without FHD (FHD−); (ii) those with at least one sibling who had diabetes without parental diabetes (FHD+); (iii) those with one parent (FHD++); or (iv) those with both parents (FHD+++) who had diabetes with or without a sibling with diabetes.ResultsThe percentages of the FHD−, FHD+, FHD++ and FHD+++ groups were 49.4%, 13.4%, 34.0% and 3.2%, respectively. Patients in the FHD++ and FHD+++ groups were significantly younger at the time of diabetes diagnosis (P < 0.001) than those in the FHD− and FHD+ groups, even after adjusting for confounding factors. In addition, the levels of insulin secretion were significantly lower in the patients in the FHD+, FHD++ and FHD+++ groups than those in the FHD− group (P < 0.05) after adjusting for confounding factors, and the patients in the FHD+++ group presented with the lowest levels of insulin secretion among the four groups.ConclusionsOur results showed that in type 2 diabetes patients, the degree of the associations between FHD and clinical characteristics differs according to the number and the type of FHD. In particular, FHD in both parents is most strongly associated with impaired residual β‐cell function.

First-degree family history of diabetes and its relationship with serum osteocalcin levels independent of liver fat content in a non-diabetic Chinese cohort

BackgroundFirst-degree relatives of patients with diabetes (FDR) tend to have impaired insulin activity, which lead to the alternation of circulating cytokine levels. Liver is a main target tissue of insulin action; therefore, liver fat content (LFC) has a close relationship with insulin resistance. This study aimed to find the alteration in serum osteocalcin levels in FDR and the relationship of serum osteocalcin levels with FDR and non-alcoholic fatty liver disease (NAFLD).MethodsIn total, 1206 subjects including 413 men and 793 women from the communities, aged 59.7 (range, 54.8–64.3) years, were enrolled. An electrochemiluminescence immunoassay was performed to measure the levels of serum osteocalcin. LFC was measured using quantitative ultrasonography.ResultsA significant decrease was found in serum osteocalcin levels in subjects with NAFLD (P < 0.001) as well as in FDR (19.8 ± 5.7 ng/mL versus 20.7 ± 6.8 ng/mL, P = 0.028). Furthermore, among the subjects with NAFLD, those with FDR had lower levels of osteocalcin than those without FDR (P = 0.011). The presence of FDR remained a predictor for decreased serum osteocalcin levels after adjusting for body mass index, blood glucose, blood lipids, and LFC (standardized β = − 0.057, P = 0.028).ConclusionsFDR had lower serum osteocalcin levels than non-FDR. The inverse association between FDR and serum osteocalcin levels was independent of metabolic factors.

Association of bone mineral density with a first-degree family history of diabetes in normoglycemic postmenopausal women.

A first-degree family history of diabetes (FHD) contributes to increased risks of metabolic and cardiovascular diseases. Bone is an insulin-resistant site and an organ susceptible to microvascular complications. The goal of the present study was to investigate the association of FHD with bone mineral density (BMD) in postmenopausal women. In all, 892 normoglycemic postmenopausal women were divided into subgroups of participants with or without a first-degree FHD. BMD was measured using dual-energy x-ray absorptiometry. Fasting plasma insulin and glucose levels were measured, and insulin resistance was evaluated using the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) index. The BMD of the lumbar spine and femoral neck were much higher in the participants with a first-degree FHD than in those without an FHD (all P < 0.05). Lumbar spine BMD and femoral neck BMD were both positively associated with HOMA-IR (P = 0.041 and P = 0.005, respectively). Multiple stepwise regression analysis showed that a first-degree FHD was an independent factor that was positively associated with lumbar spine BMD (standardized β = 0.111, P = 0.001) and femoral neck BMD (standardized β = 0.078, P = 0.021). A first-degree FHD was associated with increased BMD, insulin resistance, and hyperinsulinemia. Our study indicated that normoglycemic postmenopausal women with a first-degree FHD exhibit increased BMD with insulin resistance and hyperinsulinemia. A first-degree FHD was an independent factor associated with elevated BMD in Chinese women after menopause.

The Association Between First-Degree Family History of Diabetes and Metabolic Syndrome

Objective: Because they share genetic and environmental factors with patients with diabetes, the first-degree relatives (FDRs) of patients with diabetes exhibit early signs of metabolic abnormalities. The present study aimed to investigate the correlation between family history of diabetes in FDRs and metabolic syndrome (MS), as well as changes in related risk factors. Methods: The present study population was a part of the baseline survey from the REACTION study. FDRs were defined as individuals having one or more FDRs with diabetes. MS and its components were defined according to the 2007 Joint Committee for Developing Chinese Guidelines. Results: A total of 2,692 individuals with an average age of 57.24 ± 8.35 years were enrolled in the present study. The prevalence of MS in FDRs (36.44%) was significantly higher than that in non-FDRs (25.28%; P<.001). FDRs accounted for 13.37%, 14.32%, 16.67%, 22.47%, 23.53%, and 25.58% of subjects with 0 to 5 MS components, showing an increasing trend (P for trend <.001). After adjusting for gender and age, partial correlation analyses showed significant associations of first-degree family history of diabetes with MS-related indexes (all P<.05). After adjusting for gender, age, lifestyle habits, and total metabolic traits, the first-degree family history of diabetes remained an independent factor that was positively associated with MS (odds ratio, 1.765; P<.001). Conclusion: A first-degree family history of diabetes predisposes individuals to developing MS and stands out as an independent risk factor for MS even without considering the subsequent effects of hyperglycemia. Abbreviations: BMI = body mass index; DBP = diastolic blood pressure; FDR = first-degree relative; FPG = fasting plasma glucose; HbA1c = glycated hemoglobin A1c; HDL-c = high-density-lipoprotein cholesterol; LDL-c = low-density-lipoprotein cholesterol; MAP = mean arterial pressure; MS = metabolic syndrome; OR = odds ratio; SBP = systolic blood pressure; TC = total cholesterol; TG = triglyceride; WC = waist circumference; WHR = waist-to-hip ratio; 2hPG = 2-hour plasma glucose.

730-P: Inverse Association between Physical Activity and Blood Glucose Is Independent of Sex, Menopause, and Family History of Diabetes

Objectives: Exercise training is critical to the prevention, treatment and management of diabetes and prediabetes. The present study was to investigate the association between physical activity and blood glucose, as well as the influence of sex, menopause status, and family history of diabetes. Methods: Subjects with normal weight (body mass index ≥ 18.5 and &amp;lt; 25) were selected from REACTION study, and divided into inactive (moderate-to-vigorous-intensity physical activity [MVPA] &amp;lt; 30 min/week), low-degree (MVPA ≥ 30 and ≤ 420 min/week), and high-degree (MVPA &amp;gt; 420 min/week) active groups. Results: A total of 2601 individuals with an average age of 57.85 ± 8.39 years were enrolled. Multivariate ANOVA uncovered that after adjustment for sex and menopause status and first-degree family history of diabetes respectively, fasting plasma glucose (FPG), 2-hour plasma glucose (2hPG), and glycated hemoglobin A1c (HbA1c) decreased through inactive, low-degree and high-degree active groups (all P for trend &amp;lt; 0.05). The association of blood glucose indexes with physical activity was independent of this association with sex and menopause status and family history of diabetes, respectively. Multivariate linear regression analyses showed that MVPA was an independent factor associated negatively with FPG (standardized β = -0.057, P = 0.003), 2hPG (standardized β = -0.094, P &amp;lt; 0.001), and HbA1c (standardized β = -0.071, P &amp;lt; 0.001), respectively. Conclusions: Higher degree of physical activity was associated with lower blood glucose regardless of sex, menopause status, and family history of diabetes. MVPA is a negative factor associated with blood glucose independently. Physical activity with adequate time and intensity is strongly recommended to individuals with susceptibility to diabetes but without overweight/obesity. Disclosure X. Hu: None. X. Gu: None. Funding National Key Research and Development Program of China (2016YFC1305202); Wenzhou Science &amp; Technology Bureau (Y20170047)

Inverse association between physical activity and blood glucose is independent of sex, menopause status and first-degree family history of diabetes.

Aims/IntroductionExercise training is a recognized strategy central to the prevention, treatment, and management of diabetes and prediabetes. The aim of the present study was to investigate the association between physical activity and blood glucose, as well as the influence of sex, menopause status and family history of diabetes.Materials and MethodsParticipants with normal weight were selected from Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study, and divided into inactive (moderate‐to‐vigorous‐intensity physical activity [MVPA] <30 min/week), low‐degree (MVPA ≥30 and ≤420 min/week) and high‐degree (MVPA >420 min/week) activity groups.ResultsA total of 2,601 individuals with an average age of 57.85 ± 8.39 years were enrolled. Multivariate anova uncovered that after adjustment for sex and menopause status, and family history of diabetes, respectively, fasting plasma glucose, 2‐h plasma glucose and glycated hemoglobin A1c decreased through inactive, low‐degree and high‐degree activity groups (all P for trend <0.05). The association of blood glucose indexes with physical activity was independent of this association with sex and menopause status, and first‐degree family history of diabetes, respectively. Multivariate linear regression analyses showed that MVPA was an independent factor associated negatively with fasting plasma glucose, 2‐h plasma glucose and glycated hemoglobin A1c, respectively (all P < 0.01).ConclusionsA higher degree of physical activity was associated with lower blood glucose regardless of sex, menopause status and first‐degree family history of diabetes. MVPA is a negative factor associated with blood glucose independently. Physical activity of adequate duration and intensity is strongly recommended to individuals with susceptibility to diabetes as a result of sex and family history, but without overweight/obesity.

Evaluating the utility of self-reported questionnaire data to screen for dysglycemia in young adults: Findings from the US National Health and Nutrition Examination Survey

Dysglycemia, including prediabetes and type 2 diabetes, is dangerous and widespread. Yet, the condition is transiently reversible and sequelae preventable, prompting the use of prediction algorithms to quickly assess dysglycemia status through self-reported data. However, as current algorithms have largely been developed in older populations, their application to younger adults is uncertain considering associations between risk factors and dysglycemia vary by age. We sought to identify sex-specific predictors of current dysglycemia among young adults and evaluate their ability to screen for prediabetes and undiagnosed diabetes. We analyzed 2005–2014 data from the National Health and Nutrition Examination Survey for 3251 participants aged 20–39, who completed an oral glucose tolerance test (OGTT), had not been diagnosed with diabetes, and, for females, were not pregnant. Sex-specific stepwise logistic models were fit with predictors identified from univariate analyses. Risk scores were developed using adjusted odds ratios and model performance was assessed using area under the curve (AUC) measures. The OGTT identified 906 (27.9%) and 78 (2.4%) participants with prediabetes or undiagnosed diabetes, respectively. Predictors of dysglycemia status for males were BMI, age, race, and first-degree family history of diabetes, and, in addition to those, education, delivered baby weight, waist circumference, and vigorous physical activity for females. Our male- and female-specific models demonstrated improved validity to assess dysglycemia presence among young adults relative to the widely-used American Diabetes Association test (AUC = 0.69 vs. 0.61; 0.92 vs. 0.71, respectively). Thus, age-specific scoring algorithms employing questionnaire data show promise and are effective in identifying dysglycemia among young adults.

A decrease in serum 1,5‐anhydroglucitol levels is associated with the presence of a first‐degree family history of diabetes in a Chinese population with normal glucose tolerance

This study aimed to investigate alterations in HbA1c , glycated albumin (GA) and 1,5-anhydroglucitol (1,5-AG) in Chinese first-degree relatives of individuals with diabetes (FDR) in pursuit of an index for early screening of glucose metabolism disturbance. A total of 467 participants (age range: 20-78 years) with normal weight and normal glucose tolerance, as determined by a 75-g oral glucose tolerance test, were enrolled. HbA1c was measured using high-performance liquid chromatography. Serum GA and 1,5-AG levels were determined by enzymatic methods. Serum insulin levels were measured using an electrochemiluminescence immunoassay. The study population included 208 FDR and 259 non-FDR. Serum 1,5-AG levels were lower in FDR than that in non-FDR (20.4 ± 7.5 vs 23.8 ± 8.3 μg/ml, P < 0.001), but HbA1c and GA levels did not differ between them (P = 0.835 and 0.469, respectively). Logistic regression analysis revealed an independent relationship between a first-degree family history of diabetes and reduced serum 1,5-AG levels (odds ratio = 0.944, P < 0.001). Multiple regression analysis showed that a first-degree family history of diabetes (β = -3.041, P < 0.001) and insulinogenic index (β = 0.081, P = 0.001) were independently associated with serum 1,5-AG levels. In a Chinese population with normal glucose tolerance, serum 1,5-AG levels were lower among FDR, and serum 1,5-AG levels were independently associated with FDR status. For FDR, serum 1,5-AG levels were more sensitive than HbA1c or GA levels to early-phase abnormality in glucose metabolism.

Association between consumption of private well water contaminated by low levels of arsenic and dysglycemia in a rural region of Quebec, Canada

The association between arsenic (As) exposure and diabetes is not clearly defined for populations exposed to low or moderate levels of inorganic As (iAs) in drinking water (< 150µg/L). In the present study, the relationship between iAs concentration in drinking water (contaminated at a median level of 10.5µg/L) or As biomarkers (ie, urine and nails) and diabetes or prediabetes (defined as level of glycosylated hemoglobin - HbA1c – higher than 6%, self-reported diagnosis of diabetes by a physician, or the use of insulin or oral hypoglycemic drugs) was evaluated in 257 adults from Canada. For that we used logistic regression models and reported the odds ratio (OR) comparing participants in the 80th vs 20th percentile of iAs exposure indicators. The association between iAs exposure indicators and HbA1c was also explored for 234 adults and 35 children not taking insulin or oral hypoglycemic drugs using a linear regression analysis. All models were controlled for confounding variables (age, gender, first-degree family history of diabetes, obesity or overweight in adults’ model). We attempted to exclude adults with organic arsenic of marine origin in their urine by removing participants with detectable arsenobetaine or arsenocholine in urinary models. iAs biomarkers (toenail and urine) were not associated with diabetes or prediabetes in adults. iAs in well water was associated with a borderline significantly increased odds of diabetes or prediabetes (OR = 2.39; 95% CI: 0.99–5.72). Higher well water iAs concentrations were significantly associated with increased HbA1c in both children and adults (β: 0.002; p = 0.041 and β: 0.003; p < 0.0001 respectively). In children, HbA1c was also associated with toenail As concentration (β: 0.18; p = 0.016). These results suggest low-level iAs exposure is associated with a continuum of dysglycemia.

Screening for glucose intolerance and development of a lifestyle education programme for prevention of type 2 diabetes in a population with intellectual disabilities: the STOP Diabetes research project

BackgroundThe prevalence of type 2 diabetes mellitus (T2DM) and of cardiovascular disease (CVD) is believed to be higher among people with intellectual disability (ID) than in the general population. However, research on prevalence and prevention in this population is limited.ObjectivesThe objectives of this programme of work were to establish a programme of research that would significantly enhance the knowledge and understanding of impaired glucose regulation (IGR) and T2DM in people with ID; to test strategies for the early identification of IGR and T2DM in people with ID; and to develop a lifestyle education programme and educator training protocol to promote behaviour change in a population with ID and IGR (or at a high risk of T2DM/CVD).SettingLeicestershire, UK.ParticipantsAdults with ID were recruited from community settings, including residential homes and family homes. Adults with mild to moderate ID who had an elevated body mass index (BMI) of ≥ 25 kg/m2and/or IGR were invited to take part in the education programme.Main outcome measuresThe primary outcome of the screening programme was the prevalence of screen-detected T2DM and IGR. The uptake, feasibility and acceptability of the intervention were assessed.Data sourcesParticipants were recruited from general practices, specialist ID services and clinics, and through direct contact.ResultsA total of 930 people with ID were recruited to the screening programme: 58% were male, 80% were white and 68% were overweight or obese. The mean age of participants was 43.3 years (standard deviation 14.2 years). Bloods were obtained for 675 participants (73%). The prevalence of previously undiagnosed T2DM was 1.3% [95% confidence interval (CI) 0.5% to 2%] and of IGR was 5% (95% CI 4% to 7%). Abnormal IGR was more common in those of non-white ethnicity; those with a first-degree family history of diabetes; those with increasing weight, waist circumference, BMI, diastolic blood pressure or triglycerides; and those with lower high-density lipoprotein cholesterol. We developed a lifestyle educational programme for people with ID, informed by findings from qualitative stakeholder interviews (health-care professionals,n = 14; people with ID,n = 7) and evidence reviews. Subsequently, 11 people with ID (and carers) participated in pilot education sessions (two groups) and five people attended education for the feasibility stage (one group). We found that it was feasible to collect primary outcome measures on physical activity and sedentary behaviour using wrist-worn accelerometers. We found that the programme was relatively costly, meaning that large changes in activity or diet (or a reduction in programme costs) would be necessary for the programme to be cost-effective. We also developed a quality development process for assessing intervention fidelity.LimitationsWe were able to screen only around 30% of the population and involved only a small number in the piloting and feasibility work.ConclusionsThe results from this programme of work have significantly enhanced the existing knowledge and understanding of T2DM and IGR in people with ID. We have developed a lifestyle education programme and educator training protocol to promote behaviour change in this population.Future workFurther work is needed to evaluate the STOP Diabetes intervention to identify cost-effective strategies for its implementation.Trial registrationClinicalTrials.gov NCT02513277.FundingThe National Institute for Health Research Programme Grants for Applied Research programme and will be published in full inHealth Research Programme Grants for Applied Research; Vol. 5, No. 11. See the NIHR Journals Library website for further project information.

Elevation in fibroblast growth factor 23 and its value for identifying subclinical atherosclerosis in first-degree relatives of patients with diabetes.

Accumulating evidence supported an association between diabetes and fibroblast growth factor 23 (FGF23). The goal of the present study was to explore alteration in serum FGF23 levels and to assess its value for identifying subclinical atherosclerosis in normoglycemic individuals with a first-degree family history of diabetes (FHD). The study enrolled 312 subjects with a first-degree FHD and 1407 subjects without an FHD. Serum FGF23 levels were detected by a sandwich enzyme-linked immunosorbent assay. Serum FGF23 levels were much higher in subjects with a first-degree FHD than in those without an FHD (P = 0.006). A first-degree FHD was positively associated with serum FGF23 levels, independent of C-IMT and cardiovascular factors (both P < 0.05). In subjects with a first-degree FHD, only those with serum FGF23 levels in the upper quartile were more likely to have an increased C-IMT (odds ratio = 2.263, P < 0.05). As conclusions, a first-degree FHD contributes to the increased serum FGF23 levels independently. Subjects with a first-degree FHD need higher serum FGF23 levels to indicate subclinical atherosclerosis. The influence of a first-degree FHD on serum FGF23 levels should be considered to avoid overestimating the risk of cardiovascular disease in normoglycemic individuals with a first-degree FHD.