scholarly journals PRE-DIABETES;

2017 ◽  
Vol 24 (12) ◽  
pp. 1860-1866
Author(s):  
Rizwana Kitchlew ◽  
Aijaz Zeeshan Khan Chachar ◽  
Miqdad Haider ◽  
Abdul Rehman Saleem ◽  
Muhammad Shahjehan Mirza ◽  
...  

Introduction: Early intervention among patients with prediabetes can prevent ordelay diabetes. Moreover, regression from prediabetes to normal glucose regulation has beenassociated with reduction in cardiovascular disease (CVD) risk. Estimate of prevalence of thiscondition is vital as diabetes is now a global epidemic requiring steps towards its prevention.Study Design: Descriptive study. Setting: Fatima Memorial Hospital & Medical & Dental CollegeLahore. Period: 1st February 2016 till 1st February 2017. Objective: To determine the prevalenceof pre-diabetes and associated risk factors and demographic features in our local populationusing HbA1c as a screening test. Material and Methods: The study population includes adults18 years and above who reported in hospital outdoor as well as employees, faculty membersand students. Subjects were included in the study after taking written consent. The statisticalanalysis was performed on SPSS version 23. Results: The number of subjects included was400. 138(34%) had HbA1c value in prediabetic range (5.7-6.4%) and 56 (14%) in diabetic range(>6.4%). Mean age of prediabetics was 41± 13, 34% were males and 66% were females, 27%were in age group less than 30 years. Their mean HbA1c was 5.9%. Above normal body massindex (BMI) was reported in 128 (93%) and positive family history of diabetes mellitus (DM) in135 (98 %) subjects (P value: 0.00). All females with history of Polycystic Ovarian Syndromeand Gestational Diabetes showed prediabetes. Conclusion: The prevalence of prediabetes issignificant in our studied population. It has strong association with family history of diabetes andabove normal BMI values. There are also a significant number of undiagnosed asymptomaticdiabetics in our population.

Author(s):  
Syeda Ujala Sohail ◽  
Nasima Iqbal ◽  
Ashok Kumar ◽  
Sarwath Fatimee ◽  
Ayesha Khan ◽  
...  

Aim: To find out the prevalence of psoriasis vulgaris and its associated risk factors. Study Design: Descriptive cross-sectional. Place and Duration of Study: Study was conducted at Rawalpindi Leprosy Hospital during January 2019 to December 2019. Methodology: The diagnosed cases of Psoriasis Vulgaris (PsV) were included in the study. All the patients were investigated on the basis of an in depth Performa. The Performa include all the relevant clinical and family history of the patient along with the personal details. Data was analyzed by using Statistical Package for the Social Sciences (SPSS) version 20. All the numerical variables were presented as mean with standard deviation while categorical data as frequency and percentages. The association of risk factors with the Psoriasis was calculated by using the Chi-square test. p-value less than 0.05 was considered as significant. Results: Mean age with standard deviation of patients was 34.7±14. Most of the diagnosed patients were male and below 40 years of age, only 4.2% cases were having positive family history of Psoriasis and found significant correlation. The frequency of onset of symptoms in adolescent was more as compared to childhood i.e. 95.3% and 4.7% respectively. Majority of psoriasis cases (65.3%) were from non-smoker group and having strong association with smoking. The frequency of arthritis among psoriasis patients was 23.7% and majority of the patients, who developed arthritis were those having age <40 year and were suffering from psoriasis since 5-10 years. Conclusion: Current study concluded that Psoriasis vulgar is having higher prevalence rate among male and below 40 years of age group. The results also suggested a strong association of severity of psoriasis with certain risk factors including family history, age of onset of symptoms, smoking and arthritis.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Meng Wang ◽  
Wei-Wei Gong ◽  
Feng Lu ◽  
Ru-Ying Hu ◽  
Qing-Fang He ◽  
...  

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.


2021 ◽  
Vol 9 (1) ◽  
pp. e001948
Author(s):  
Marion Denos ◽  
Xiao-Mei Mai ◽  
Bjørn Olav Åsvold ◽  
Elin Pettersen Sørgjerd ◽  
Yue Chen ◽  
...  

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.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Uzair Abbas ◽  
Bushra Imdad ◽  
Sikander Adil Mughal ◽  
Israr Ahmed Baloch ◽  
Afshan Mehboob Khan ◽  
...  

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).


Author(s):  
Inês Carolina Siqueira Freitas ◽  
Micheli Cristiane Hintz ◽  
Larissa Chaiane Orth ◽  
Tamara Gonçalves da Rosa ◽  
Betine Moehlecke Iser ◽  
...  

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.


2018 ◽  
Vol 2018 ◽  
pp. 1-5 ◽  
Author(s):  
Hayfaa Wahabi

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.


2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Dongmei Pei ◽  
Chengpu Zhang ◽  
Yu Quan ◽  
Qiyong Guo

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.


2010 ◽  
Vol 63 (3-4) ◽  
pp. 231-236 ◽  
Author(s):  
Dusica Zivanovic ◽  
Sandra Sipetic ◽  
Marina Stamenkovic-Radak ◽  
Jelena Milasin

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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