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 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 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 Evaluation of multiple risk factors involved in the development of Diabetic Retinopathy

2019 ◽  
Vol 35 (1) ◽  
Author(s):  
Syeda Birjees Anwar ◽  
Naveed Asif ◽  
Syed Abid Hassan Naqvi ◽  
Sidra Malik
Keyword(s):  
Risk Factors ◽  
Diabetic Retinopathy ◽  
Family History ◽  
Positive Family History ◽  
Family History Of Diabetes ◽  
Duration Of Diabetes ◽  
Multiple Risk Factors ◽  
History Of ◽  
The Mean ◽  
The Difference

Objective: To determine the role of hypertension, hyperlipidemia, smoking and positive family history of diabetes and hypertension in the development of diabetic retinopathy. Methods: This prospective cohort study was conducted at the Department of Chemical Pathology, Armed Forces Institute of Pathology, Rawalpindi over 2 years period from June 2014 to June 2016. One hundred consecutive diabetic patients with no signs of diabetic retinopathy and good glycemic control (HbA1c<6.5%) were registered by non-probability convenient sampling after taking written informed consent. They were evaluated for hypertension, hyperlipidemia and smoking status. These patients were then followed 6 monthly for 2 years to look for the development of diabetic retinopathy. Results: The mean age of the patients was 50.72±9.29 years and there were 57 (57%) male and 43 (43%) female patients. Majority (82%) of the patients had NIDDM. The mean duration of diabetes was 8.31±6.83 years. 11% of the patients were smoker, 37% were hypertensive, 6% had hyperlipidaemia, 62% had family history of diabetes and 30% had family history of hypertension. At the end of follow-up, 9 (9.0%) patients had diabetic retinopathy. The frequency of diabetic retinopathy increased with increasing age of the patient; however, the difference was statistically insignificant. A comparatively higher frequency of diabetic retinopathy was also seen in patients with IDDM and those with positive family history of diabetes and hypertension yet again, the difference was statistically insignificant. Also, no significant difference was noted among male and female genders and smokers vs. non-smoker. However, the frequency of diabetic retinopathy increased significantly with increasing duration of diabetes. It was also higher among those with hypertension and hyperlipidemia. Conclusion: Higher patient age (≥50 years), increasing duration of diabetes (≥20 years), insulin dependent diabetes mellitus, hypertension, hyperlipidemia, and positive family history of diabetes and hypertension were found to be associated with increased frequency of diabetic retinopathy. How to cite this:Anwar SB, Asif N, Naqvi SAH, Malik S. Evaluation of multiple risk factors involved in the development of Diabetic Retinopathy. Pak J Med Sci. 2019;35(1):---------. doi: https://doi.org/10.12669/pjms.35.1.279 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The impact of family history of diabetes on risk factors for gestational diabetes

2007 ◽  
Vol 67 (5) ◽  
pp. 754-760 ◽  
Author(s):  
Ravi Retnakaran ◽  
Philip W. Connelly ◽  
Mathew Sermer ◽  
Bernard Zinman ◽  
Anthony J. G. Hanley
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Gestational Diabetes ◽  
Family History Of Diabetes ◽  
History Of ◽  
The Impact

scholarly journals Risk Factors Associated with Gestational Diabetes among Pregnant Women in Owerri Municipal Council, Southeastern Nigeria

2013 ◽  
Vol 5 (1) ◽  
pp. 39-46 ◽  
Author(s):  
JC Nwaokoro ◽  
CO Emerole ◽  
SNO Ibe ◽  
AN Amadi ◽  
INS Dozie
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Significant Relationship ◽  
Previous History ◽  
Southeastern Nigeria ◽  
Family History Of Diabetes ◽  
Factors Associated ◽  
History Of

Background Gestational diabetes is emerging as a serious public health problem in Nigeria where the largest number of people with diabetes in Africa occurs. Current studies in Nigeria give an overall prevalence of gestational diabetes as 13.4% among pregnant women with unidentified risk factors. Aims and Objectives This study aimed at investigating the risk factors associated with gestational diabetes. Materials and Methods A cross-section analytical study design was adopted for this research and comprising a total of 100 pregnant women receiving ante-natal health care service at the Federal Medical Center, Owerri. A structured questionnaire including a set of detailed pre-determined questions was administered on the subjects. Data collected were analyzed statistically, using chi-square and T test. Results The results obtained suggest that there is a significant relationship (p<0.05) between previous macrosomic baby, parity, previous history of caesarean section, family history of diabetes and occurrence of gestational diabetes, respectively. However, there is no significant relationship (p>0.05) between history of miscarriages and stillbirth, socioeconomic status and occurrence of gestational diabetes. A family history of diabetes is independently and significantly associated with the development of gestational diabetes itself even after adjusting for other risk factors. Conclusion This study will be a working tool to guide obstetricians and midwives in counseling and advising women of their risk of developing GDM. DOI: http://dx.doi.org/10.3126/ajms.v5i1.8302 Asian Journal of Medical Science Vol.5(1) 2014 pp.39-46  

scholarly journals Assessing Factors Related to Waist Circumference and Obesity: Application of a Latent Variable Model

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Sahar Dalvand ◽  
Jalil Koohpayehzadeh ◽  
Masoud Karimlou ◽  
Fereshteh Asgari ◽  
Ali Rafei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Family History ◽  
Waist Circumference ◽  
Latent Variable ◽  
Fasting Blood Glucose ◽  
Latent Variable Model ◽  
Variable Model ◽  
Family History Of Diabetes ◽  
History Of

Background. Because the use of BMI (Body Mass Index) alone as a measure of adiposity has been criticized, in the present study our aim was to fit a latent variable model to simultaneously examine the factors that affect waist circumference (continuous outcome) and obesity (binary outcome) among Iranian adults.Methods. Data included 18,990 Iranian individuals aged 20–65 years that are derived from the third National Survey of Noncommunicable Diseases Risk Factors in Iran. Using latent variable model, we estimated the relation of two correlated responses (waist circumference and obesity) with independent variables including age, gender, PR (Place of Residence), PA (physical activity), smoking status, SBP (Systolic Blood Pressure), DBP (Diastolic Blood Pressure), CHOL (cholesterol), FBG (Fasting Blood Glucose), diabetes, and FHD (family history of diabetes).Results. All variables were related to both obesity and waist circumference (WC). Older age, female sex, being an urban resident, physical inactivity, nonsmoking, hypertension, hypercholesterolemia, hyperglycemia, diabetes, and having family history of diabetes were significant risk factors that increased WC and obesity.Conclusions. Findings from this study of Iranian adult settings offer more insights into factors associated with high WC and high prevalence of obesity in this population.

Study the Effect of Maternal Factors on Prevalence of Gestational Diabetes Mellitus and Effect of Treatment Types on Serum Blood Glucose

2021 ◽  
pp. 5264-5269
Author(s):  
Shaymaa Hasan Abbas ◽  
Sura Abbas Khdair
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Glucose ◽  
Family History ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Blood Glucose Level ◽  
Family History Of Diabetes ◽  
Treatment Groups ◽  
History Of

Introduction: Gestational diabetes mellitus (GDM) is one of the most common medical problems occurred during pregnancy. GDM increase the chance for developing type 2 diabetes meletus by seven times. The overall prevalence of GDM in pregnancy is 1-14% according to the American Diabetes Association. Material and Methods: a self-administered questionnaire was used to collect data. The information was collected from pregnant women with gestational DM to assess some maternal risk factors and compare blood glucose level according to different treatment types for GDM. Results: The present study reported that (40.38%) of GDM patients have advanced age (≥35 yrs.). First pregnancy was a risk factors for GDM and it was reported by (9.62%). History of HT and GDM during prior pregnancies were reported by (11.54%) and (% 34.62) respectively. Hypertension or preeclampsia in the current pregnancy was reported by (3.85%). Positive family history of diabetes was associated with (26.92%) GDM patients. All Patients of the present study reported no previous PCOS and smoking history. Also in this study, 44 patients out of 52 GDM patients use medications to control the glucose intolerance, while other patients control it by diet. There were no statistical differences found between treatment groups in term of blood glucose control. Conclusion: Age, history of GDM in the previous pregnancies and family history of diabetes mellitus were identifiable as a risk factors for GDM and their effect were significant in this study while the effect of other risk factors were non-significant. No statistical differences found between treatment groups in term of blood glucose level control and no group achieved the glycemic target.

scholarly journals The Prevalence of Dyslipidemia and Hyperglycemia among Stroke Patients: Preliminary Findings

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Iyad Ali ◽  
Mahmoud Abuissa ◽  
Anan Alawneh ◽  
Omar Subeh ◽  
Ahmad Abu Sneineh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Glycosylated Hemoglobin ◽  
Fasting Blood Glucose ◽  
Significant Risk ◽  
High Density Lipoproteins ◽  
Stroke Patients ◽  
Family History Of Diabetes ◽  
Low Hdl ◽  
History Of

Background/Aim. Stroke or cerebrovascular accident is defined as sudden or sub acute onset of focal neurologic deficit, caused by the interruption of blood flow to parts of the brain. In this study, we aimed to investigate the prevalence of dyslipidemia and hyperglycemia among stroke patients in Palestine. Materials and Methods. A total of 70 patients with stroke were included in a cross-sectional study between November 2017 and February 2018. Stroke patients were diagnosed based on a CT scan reviewed by a neurologist. Fasting venous blood samples were collected to measure the lipid profile (cholesterol, low-density lipoproteins (LDL), triacylglycerol (TAG), high-density lipoproteins (HDL)), fasting blood glucose (FBG), and glycosylated hemoglobin (HbA1c) levels. An interview-based questionnaire, included background data, past medical history, family history, and other risk factors for stroke, was filled for each patient. Results. Based on our results, 28.57% of patients had high LDL, 17.1% had high cholesterol, 15.7% had high TAG and 61.3% had low HDL. About half of the patients (51.4%) had abnormal HbA1c and abnormal FBG (52.8%). The majority (67.1%) of patients were males, whereas, 11% of patients were obese (BMI of more than 30 kg/m2) and 51.4% were smokers. Regarding the family history of diseases, 81% of patients had a family history of hypertension, 50% had a family history of stroke, and 58% had a family history of diabetes mellitus. Conclusion. Male gender and smoking were most likely to increase the risk of stroke. Risk factors like low HDL, high LDL, high FBG, high HbA1c, and hypertension contribute substantially to the incidence of stroke. A family history of stroke, hypertension and diabetes were significant risk factors for stroke.

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.

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