scholarly journals Synergy of BMI and family history on diabetes: the Humboldt Study

2009 ◽  
Vol 13 (4) ◽  
pp. 461-465 ◽  
Author(s):  
Yue Chen ◽  
Donna C Rennie ◽  
James A Dosman
Keyword(s):  
Family History ◽  
Joint Effect ◽  
Cross Sectional Study ◽  
Additive Interaction ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
Increased Risk ◽  
History Of ◽  
Associated Family ◽  
Diagnosed Diabetes

AbstractObjectiveTo examine the joint effect of family history and BMI on diabetes.DesignCross-sectional study.SettingA rural community in Saskatchewan, Canada.SubjectsThe analysis was based on data from 2081 adults, 18–79 years of age, who participated in the Humboldt Study conducted in 2003. Doctor-diagnosed diabetes and family history of diabetes of biological parents and siblings were self-reported. Body weight and height were objectively measured. The interaction of family history and BMI on diabetes was assessed on an additive scale.ResultsThe prevalence of diabetes was 7·9 %, and BMI and history of diabetes were two important predictors. The adjusted prevalence ratios were 1·76 (95 % CI 1·37, 2·27) and 2·59 (95 % CI 2·05, 3·31) for those with a BMI of 25·0–29·9 kg/m2 and of at least 30 kg/m2, respectively, compared with a BMI of less than 25 kg/m2, and was 2·41 (95 % CI 2·08, 2·80) for those with a family history of diabetes v. those without. The data indicated an additive interaction of family history and BMI on diabetes.ConclusionsWhen exposed to both family history and overweight/obesity, individuals would have an increased risk that was greater than the sum of their single effects. Reduction of BMI would also reduce the risk of diabetes associated family history.

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 Sweet Taste Threshold among Medical Students with Family History of Diabetes Mellitus

2020 ◽  
Vol 7 (4) ◽  
Author(s):  
Nasya Aisah Latif ◽  
Yulia Sofiatin ◽  
Maya Kusumawati ◽  
Rully Marsis Amirullah Roesli
Keyword(s):  
Diabetes Mellitus ◽  
Medical Students ◽  
Family History ◽  
Sweet Taste ◽  
Diabetic Patients ◽  
Taste Threshold ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
Increased Risk ◽  
History Of

Background: Diabetic patients have low sensitivity towards sweet taste, thus consuming more sugar. A young adult with family history of diabetes mellitus (FHD) who lives with diabetic parents may have an increased risk of overconsumption of sugar due to a similar dietary pattern, leading to diabetes. This study aimed to explore the difference in the sweet taste threshold (STT) between students with and without a family history of diabetes mellitus. Methods: This cross-sectional study was conducted in October –November 2018 on Class 2018 medical students living in a student dormitory who were divided into those with family history of diabetes (FHD) and those without it (non-FHD). Family history of diabetes and other known diseases were self-reported. The three-Ascending Forced Choice method was used to determine the sweet recognition threshold. Mann-Whitney analysis was used to compare the sweet taste thresholds between the two groups. Result: A total of 183 subjects participated in this study. The non-FHD group had a higher rank of sweet taste threshold than subjects in the FHD group (94.21 vs 81.16), albeit insignificant (p=0.192). Interestingly, the modes of best estimation threshold (BET) for non-FHD group was than the FHD group (0.067 M vs 0.043 M). Conclusion: The BET for students without family history of diabetes is higher than those with family history of diabetes. It is imperative that low sugar consumption campaign should also aim young people without FHD.

scholarly journals Prevalence and commonest predictors of gestational diabetes mellitus: a cross-sectional study

2019 ◽  
Vol 6 (1) ◽  
pp. 96
Author(s):  
Saranya Nagalingam ◽  
Vaishnavi Murugaraj
Keyword(s):  
Diabetes Mellitus ◽  
Family History ◽  
Gestational Diabetes ◽  
Cross Sectional Study ◽  
Health Centers ◽  
Sectional Study ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
Rural And Urban ◽  
History Of

Background: Babies born to mothers with GDM are at increased risk of complications, primarily growth abnormalities and chemical imbalances such as hypoglycemia, GDM is a reversible condition and women who have adequate control of glucose level scan effectively decrease the associated risks and give birth to healthy babies. The objective was to estimate the prevalence and the predictors of gestational diabetes mellitus.Methods: This study was conducted as a cross sectional study among the antenatal mothers at the outpatient department of the rural and urban health centers of the KG hospital and PG institute and its affiliated centers in Coimbatore. The study period was one year and during which 150 antenatal mothers participated in the study.Results: The prevalence of GDM was 76 (9%) and 74 (11%) in rural and urban health centers respectively. The maximum number of GDM Mothers to be 26-30years of age with a peak indicating 42% and 39% of GDM mothers were found to be in primigravida, 48% of GDM mothers were primipara. About 65% of GDM pre-pregnant mothers were overweight according to BMI, 53% of GDM mothers had positive family history of DM. Majority of the study population 100 (67%) had HBA1C less than 6% and the remaining 50 (33%) had more than 6% value. The variables like age, gravida, parity, family history of diabetes, pre-pregnant BMI, history of PCOS, history of hypertension, history of hypothyroidism was compared with the glycaemic status (HBA1C values) and it was found to be statistically significant at P<0.05.Conclusions: The commonest risk factors which increases the incidence of GDM were family history of diabetes mellitus, overweight pre-pregnant BMI, history of PCOS, hypothyroidism, increasing gravidity and parity respectively.

scholarly journals Prevalence of Pre-diabetes and its associated risk factors: A cross-sectional study in West Tripura district of India

2020 ◽  
Vol 32 (3) ◽  
pp. 533-539
Author(s):  
Bitan Sengupta ◽  
Himadri Bhattacharjya
Keyword(s):  
Risk Factors ◽  
Socioeconomic Status ◽  
Family History ◽  
Physical Inactivity ◽  
Data Entry ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
History Of

Background: Early detection of Pre-diabetes and controlling the risk factors may delay the development of Diabetes and related complications. Objectives: To estimate the prevalence of Pre-diabetes in West Tripura district of India and to study it’s associations with selected risk factors. Methods: This community based cross-sectional study was conducted in West Tripura district of India, during 1st January 2018 to 31st December 2019 among 320 individuals selected by multistage sampling. Fasting blood sugar was tested for diagnosing Pre-diabetes. Data entry and analysis were performed using SPSS-24. Result: Prevalence of Pre-diabetes in West Tripura district was 19.4%, 28.1% were hypertensive and 32.5% had high BMI. Multivariable logistic regression has identified age ≥40 yr (OR: 20.62, 95% CI: 4.97 – 85.49) higher socioeconomic status (OR: 4.99, 95% CI: 1.95 – 12.72), family history of diabetes (OR: 9.72, 95% CI: 2.51 – 37.61), higher BMI (OR: 2.79, 95% CI: 1.32 – 5.89) and physical inactivity (OR: 3.52, 95% CI: 1.66 – 7.46) as the predictors of Pre-diabetes. Conclusion: West Tripura district of India has higher prevalence of pre-diabetes than the national average. Age ≥40 yr, higher socioeconomic status, family history of diabetes, higher BMI and physical inactivity were identified as significant predictors of Pre-diabetes in this region.

scholarly journals Risk factors for type 2 diabetes mellitus: An urban perspective

2019 ◽  
Vol 71 ◽  
pp. 16-21
Author(s):  
Reshma Patil ◽  
Jayashree Gothankar
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Family History ◽  
Waist Circumference ◽  
Cross Sectional Study ◽  
Lifestyle Changes ◽  
Chi Square ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
History Of

Background: Diabetes mellitus is rising to an alarming epidemic level; hence, strategies formulated based on the risk factors can be helpful to curb the rising trend of the same. Objective: The objective of the study was to assess the prevalence of diagnosed cases of diabetes mellitus and correlate it with various risk factors and sociodemographic variables. Methods: A cross-sectional study was carried out in randomly selected wards under the field practice area of Urban Health Training Center of Private Medical College, Pune, Maharashtra. A total of 425 subjects aged 20 years and above residing in the study area were screened for diabetes mellitus. Risk factors such as age, waist circumference, waist-to-hip ratio (WHR), family history of diabetes, and physical activities were recorded. The statistical analysis of the data was performed using Chi-square test. Results: The prevalence of diagnosed cases of diabetes mellitus found in this study was 9.88%. There was a significant increase in the prevalence of diabetes as age increases (age 20–34 years: 1.66%, 35–49 years: 7.53%, ≥50 years: 15.66%, and P < 0.05). Furthermore, male gender, obesity, waist circumference, WHR, and diabetes mellitus were found to be statistically significant. Conclusions: Risk factors such as rising age, family history of diabetes mellitus, lack of physical activity, and central obesity were the most common factors found in diagnosed cases of diabetes mellitus. Therefore, lifestyle changes and awareness regarding risk factors is needed to make control over the diabetes.

scholarly journals Association between family history of diabetes and clusters of adherence to healthy behaviors: cross-sectional results from the Health Examinees-Gem (HEXA-G) study

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e025477 ◽  
Author(s):  
Jaesung Choi ◽  
Ji-Yeob Choi ◽  
Sang-Ah Lee ◽  
Kyoung-Mu Lee ◽  
Aesun Shin ◽  
...  
Keyword(s):  
Body Composition ◽  
Family History ◽  
Cross Sectional Study ◽  
Healthy Diet ◽  
Regular Exercise ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
Healthy Behaviors ◽  
Normal Body ◽  
History Of

ObjectivesThis study evaluated whether individuals with affected family member adhered to healthy behaviours.Design and settingThis was a cross-sectional study of participants selected from health examinees who underwent the national health check-up programme of Korea in 39 centres between 2004 and 2013.ParticipantsThe baseline data of 128 520 participants enrolled in the Health Examinees-Gem study were used for analysis.Main outcomes and measuresAssociations of family history of diabetes with adherence to regular exercise, healthy diet and body composition, and clusters of healthy behaviours were evaluated while adjusting for potential confounders selected by a directed acyclic graph.ResultsParticipants with a family history of diabetes were more likely to adhere to a regular exercise regimen (OR=1.12, 95% CI 1.06 to 1.18 for men and OR=1.10, 95% CI 1.07 to 1.14 for women) and healthy diet (OR=1.06, 95% CI 1.01 to 1.12 for men and OR=1.06, 95% CI 1.01 to 1.12 for women) but were less likely to have a normal body composition (OR=0.83, 95% CI 0.78 to 0.87 for men and OR=0.83, 95% CI 0.80 to 0.86 for women). These associations were strengthened when the affected family members were siblings, the number of affected members was increased or the age at diagnosis of the affected member was younger than 50 years. In men and women, having a normal body composition is important in determining the cluster of behaviours, and those with a family history of diabetes were less likely to adhere to the normal body composition cluster.ConclusionsThe group with high risk of diabetes showed healthy behaviors, but they did not have a normal body composition. Policies and campaigns targeting integrated health behaviors will be needed to reduce the burden of diseases and improve public health.

scholarly journals Evaluation of Dyslipidaemia Using an Algorithm of Lipid Profile Measures among Newly Diagnosed Type II Diabetes Mellitus Patients: A Cross-Sectional Study at Dormaa Presbyterian Hospital, Ghana

Medicina ◽  
2019 ◽  
Vol 55 (7) ◽  
pp. 392
Author(s):  
Enoch Odame Anto ◽  
Christian Obirikorang ◽  
Max Efui Annani-Akollor ◽  
Eric Adua ◽  
Sampson Donkor ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Family History ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Newly Diagnosed ◽  
Sectional Study ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
Presbyterian Hospital ◽  
History Of

Background and Objectives: Dyslipidaemia and its associated complications have been reported to increase mortality among type 2 diabetes mellitus (T2DM) patients. However, there is a dearth of data on the incidence of dyslipidemia among Ghanaian patients with T2DM. This study evaluated dyslipidemia among newly diagnosed T2DM patients at Dormaa Presbyterian Hospital, Ghana. Materials and Methods: This cross-sectional study recruited a total of 215 participants at the Presbyterian Hospital, Dormaa-Ghana. A well-structured questionnaire was administered to collect demographic data. Predisposing factors of dyslipidemia such as BMI, hypertension, and family history of diabetes were also obtained. Lipid profile was performed on the serum obtained from each respondent. Dyslipidaemia was defined as total cholesterol (TC) >200 mg/dL, triglyceride (TG) >150 mg/dL, low density lipoprotein cholesterol (LDL-c) >100 mg/dL, and high-density lipoprotein cholesterol (HDL-c) <40 in males and <50 mg/dL in females. Combinations of the individual parameters of dyslipidaemia were further evaluated. Results: Of the total (215) participants, 86 (40%) were males and 129 (60%) were females, representing a ratio of 1:1.5. High total cholesterol was more prevalent in females (69.0%) than males (53.5%). Generally, dyslipidaemia was predominant among those aged >40 years, with the exception of increased LDL-c (25.1%), which was higher among the 20–40 years age group. The male participants exhibited significantly (p < 0.001) higher percentages of all combined measures of dyslipidaemia—such as high TG and reduced HDL-c (77.9%), high TG and elevated LDL-c (75.6%) and high LDL and low HDL (65.1%). BMI was significantly associated with HDL levels (p = 0.02), whereas family history of diabetes was associated with TC (p = 0.004) and TG levels (p = 0.019). Conclusion: Combined dyslipidaemia is relatively high among newly diagnosed T2DM patients in Ghana, and in those >40 years. Gender is significantly associated with combined dyslipidaemia in T2DM, and males may be at a higher risk than females. BMI and family history of diabetes are potential risk factors of dyslipidaemia in T2DM.

scholarly journals Serum adiponectin is associated with family history of diabetes independently of obesity and insulin resistance in healthy Korean men and women

2009 ◽  
Vol 160 (1) ◽  
pp. 39-43 ◽  
Author(s):  
Jae Woong Sull ◽  
Hee Jin Kim ◽  
Ji Eun Yun ◽  
Grace Kim ◽  
Eun Jung Park ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Family History ◽  
Cross Sectional Study ◽  
Serum Adiponectin ◽  
Model Assessment ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
Men And Women ◽  
History Of

BackgroundAdiponectin has been reported as a new risk factor for the development of diabetes. However, it is not clear whether adiponectin levels are associated with family history of diabetes (FHD).ObjectiveThe objective of this study was to measure the independent association of serum adiponectin with FHD in relation to insulin resistance and obesity.MethodsIn 2006, a cross-sectional study was conducted in which waist circumference (WC), body mass index (BMI), and serum adiponectin were measured in 5919 healthy Korean men and women. Multiple linear regression models were used to assess the association of serum adiponectin levels with FHD. The population was classified into two groups according to median values for each of the following variables: WC, BMI, and homeostasis model assessment of insulin resistance (HOMA-IR).ResultsThe positive FHD group had higher HOMA-IR and lower adiponectin levels in both men and women than those without FHD. Adiponectin levels were significantly associated with FHD in men and women respectively, after adjusting for age, BMI, and alcohol consumption (P=0.0123 and 0.0004). The relationship between adiponectin and FHD was similar between the high and low insulin resistance, BMI, and WC groups in male non-smokers and in all Korean women.ConclusionThese results confirm that adiponectin levels are associated with FHD. These data also suggest that the association of serum adiponectin with FHD may be independent of obesity and insulin resistance.

Factors Associated with Insulin Resistance in Women with Migraine: A Cross-Sectional Study

Pain Medicine ◽  
2019 ◽  
Vol 20 (10) ◽  
pp. 2043-2050
Author(s):  
Selen Gur-Ozmen ◽  
Ruhan Karahan-Ozcan
Keyword(s):  
Insulin Resistance ◽  
Family History ◽  
Descriptive Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Increased Risk ◽  
History Of ◽  
The Impact

AbstractObjectiveStudies have shown a relationship between insulin resistance (IR) and migraine that is more evident in some migraineurs. Long-term use of various drugs and increased risk of diverse side effects is an unavoidable reality in this population of patients. Thus, in this study, we aimed to investigate factors associated with IR in migraine and the impact of chronic usage of various drugs, which might play a part in development of IR.DesignCross-sectional study.SettingGebze Fatih General Hospital, Kocaeli, Turkey.SubjectsMigraine patients (N = 150) were investigated.MethodsWeight, height, waist circumference, and blood pressure were measured. Fasting glucose, fasting insulin, glycated hemoglobin, and lipid profile were also measured. IR was selected as a dependent variable. The independent variables included age, cigarette smoking, alcohol consumption, family history of migraine, diabetes mellitus and hypertension, characteristics of pain, migraine triggers and subgroups, medication used during attack treatment, medication used as prophylactic treatment, and oral contraceptive treatment. Descriptive analysis and multivariate logistic regression were performed.ResultsCentral obesity (odds ratio [OR] = 7.131, 95% confidence interval [CI] = 2.451–20.741, P < 0.0001), metoclopramide treatment during an attack (OR = 3.645, 95% CI = 0.996–13.346, P = 0.041), family history of DM (OR = 3.109, 95% CI = 1.189–8.132, P = 0.035), nonsteroidal anti-inflammatory drug (NSAID) usage during an attack (OR = 2.578, 95% CI = 1.053–6.311, P = 0.043), and negative family history of hypertension (OR = 0.226, 95% CI = 0.085–0.602, P = 0.002) were significant factors for exhibiting IR in migraine.ConclusionsOur study demonstrates an association between metoclopramide and NSAID treatments and IR in migraine.

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