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

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Kasuni Nisansala Wijesena Walatara ◽  
Lohini Vijayendran Athiththan ◽  
Usha Kumari Hettiaratchi ◽  
Pradeep Rasika Perera
Keyword(s):  
Family History ◽  
Healthy Subjects ◽  
Vigorous Physical Activity ◽  
Fasting Blood Glucose ◽  
Positive Family History ◽  
Monthly Income ◽  
Lifestyle Habits ◽  
Family History Of Diabetes ◽  
History Of ◽  
Apparently Healthy

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.

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.

scholarly journals The association between diabetes and thyroid cancer risk: a hospital-based case-control study in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Meng Wang ◽  
Wei-Wei Gong ◽  
Feng Lu ◽  
Ru-Ying Hu ◽  
Qing-Fang He ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Family History ◽  
Case Control Study ◽  
Positive Family History ◽  
Case Control ◽  
Diabetes Duration ◽  
Family History Of Diabetes ◽  
Thyroid Cancer Risk ◽  
History Of ◽  
Control Study

Abstract Background Previous studies have indicated inconsistent relationships of diabetes with thyroid cancer risk, yet little is known in China. In this study, we aimed to investigate the associations between diabetes, diabetes duration and the risk of thyroid cancer in Chinese population. Methods A 1:1 matched case-control study was performed between 2015 and 2017 in Zhejiang Province including 2,937 thyroid cancer cases and 2,937 healthy controls. Odds ratios (ORs) with 95 % confidence intervals (CIs) for thyroid cancer were estimated in logistic regression models. Specific effects stratified by age, as well as sex, body mass index (BMI) and family history of diabetes were also examined. Results Overall, neither diabetes (OR = 0.75, 95 % CI: 0.21–2.73) nor diabetes duration (OR = 0.14, 95 % CI: 0.02–1.22 for diabetes duration ≦ 5 years; OR = 2.10, 95 % CI: 0.32–13.94 for diabetes duration > 5 years) was significantly associated with thyroid cancer. In stratified analyses, significant lower risk of thyroid cancer was observed among subjects with diabetes and shorter diabetes duration ( ≦ 5 years), but limited to those who were aged more than 40 years, female, overweight/obese and had positive family history of diabetes. Conclusions Diabetes and shorter diabetes duration were significantly associated with decreased risk of thyroid cancer in individuals characterized by older age, female sex, higher BMI and positive family history of diabetes.

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 Comparison of Maternal and Fetal Outcomes in Parturients With and Without a Diagnosis of Gestational Diabetes

2019 ◽  
Vol 41 (11) ◽  
pp. 647-653 ◽  
Author(s):  
Inês Carolina Siqueira Freitas ◽  
Micheli Cristiane Hintz ◽  
Larissa Chaiane Orth ◽  
Tamara Gonçalves da Rosa ◽  
Betine Moehlecke Iser ◽  
...  
Keyword(s):  
Family History ◽  
Gestational Diabetes ◽  
Statistical Significance ◽  
Positive Family History ◽  
Previous History ◽  
Diabetes Diagnosis ◽  
Fetal Outcomes ◽  
Family History Of Diabetes ◽  
Significant Difference ◽  
History Of

Abstract Objective The present study aims to compare the maternal and fetal outcomes of parturients with and without a gestational diabetes diagnosis. Methods A case-control study including parturients with (cases) and without (control) a gestational diabetes diagnosis, who delivered at a teaching hospital in Southern Brazil, between May and August 2018. Primary and secondary data were used. Bivariate analysis and a backward conditional multivariate logistic regression were used to make comparisons between cases and controls, which were expressed by odds ratio (OR), with a 95% confidence interval (95%CI) and a statistical significance level of 5%. Results The cases (n = 47) were more likely to be 35 years old or older compared with the controls (n = 93) (p < 0.001). The cases had 2.56 times greater chance of being overweight (p = 0.014), and a 2.57 times greater chance of having a positive family history of diabetes mellitus (p = 0.01). There was no significant difference regarding weight gain, presence of a previous history of gestational diabetes, height, or delivery route. The mean weight at birth was significantly higher in the infants of mothers diagnosed with diabetes (p = 0.01). There was a 4.7 times greater chance of macrosomia (p < 0.001) and a 5.4 times greater chance of neonatal hypoglycemia (p = 0.01) in the infants of mothers with gestational diabetes. Conclusion Therefore, maternal age, family history of type 2 diabetes, obesity and pregestational overweightness are important associated factors for a higher chance of developing gestational diabetes.

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 Identification of Potential Type II Diabetes in a Chinese Population with a Sensitive Decision Tree Approach

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Dongmei Pei ◽  
Chengpu Zhang ◽  
Yu Quan ◽  
Qiyong Guo
Keyword(s):  
Family History ◽  
Decision Tree ◽  
Positive Family History ◽  
Screening Tools ◽  
Significant Feature ◽  
Work Related Stress ◽  
Family History Of Diabetes ◽  
Work Related ◽  
History Of ◽  
Related Stress

Background. Diabetes mellitus is a chronic disease with a steadfast increase in prevalence. Due to the chronic course of the disease combining with devastating complications, this disorder could easily carry a financial burden. The early diagnosis of diabetes remains as one of the major challenges medical providers are facing, and the satisfactory screening tools or methods are still required, especially a population- or community-based tool. Methods. This is a retrospective cross-sectional study involving 15,323 subjects who underwent the annual check-up in the Department of Family Medicine of Shengjing Hospital of China Medical University from January 2017 to June 2017. With a strict data filtration, 10,436 records from the eligible participants were utilized to develop a prediction model using the J48 decision tree algorithm. Nine variables, including age, gender, body mass index (BMI), hypertension, history of cardiovascular disease or stroke, family history of diabetes, physical activity, work-related stress, and salty food preference, were considered. Results. The accuracy, precision, recall, and area under the receiver operating characteristic curve (AUC) value for identifying potential diabetes were 94.2%, 94.0%, 94.2%, and 94.8%, respectively. The structure of the decision tree shows that age is the most significant feature. The decision tree demonstrated that among those participants with age≤49, 5497 participants (97%) of the individuals were identified as nondiabetic, while age>49, 771 participants (50%) of the individuals were identified as nondiabetic. In the subgroup where people were 34<age≤49 and BMI≥25, when with positive family history of diabetes, 89 (92%) out of 97 individuals were identified as diabetic and, when without family history of diabetes, 576 (58%) of the individuals were identified as nondiabetic. Work-related stress was identified as being associated with diabetes. In individuals with 34<age≤49 and BMI≥25 and without family history of diabetes, 22 (51%) of the individuals with high work-related stress were identified as nondiabetic while 349 (88%) of the individuals with low or moderate work-related stress were identified as not having diabetes. Conclusions. We proposed a classifier based on a decision tree which used nine features of patients which are easily obtained and noninvasive as predictor variables to identify potential incidents of diabetes. The classifier indicates that a decision tree analysis can be successfully applied to screen diabetes, which will support clinical practitioners for rapid diabetes identification. The model provides a means to target the prevention of diabetes which could reduce the burden on the health system through effective case management.

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.

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