Diabetes Risk Factors Research Articles

Ethnic disparities in the prevalence of diabetes and its association with sleep disorder among older adults in rural southwest China

ABSTRACT Objectives This study aimed to examine ethnic disparities in the prevalence of diabetes and its association with sleep disorders among the older adults Han and ethnic minority (Bai, Ha Ni, and Dai) population in rural southwest China. Methods A cross-sectional survey of 5,642 was conducted among the rural southwest population aged ≥60 years, consisting of a structured interview and measurement of fasting blood glucose, height, weight, and waist circumference. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Results The overall prevalence of diabetes and sleep disorder was 10.2% and 40.1%, respectively. Bai participants had the highest prevalence of diabetes (15.9%) and obesity (9.9%)(P < 0.01), while Ha Ni participants had the lowest prevalence of diabetes (5.1%) and obesity (3.4%)(P < 0.01). The highest prevalence of sleep disorder (48.4%) was recorded in Bai participants, while Dai participants had the lowest prevalence of sleep disorder (25.6%)(P < 0.01). In all four studied ethnicities, females had a higher prevalence of sleep disorder than males (P < 0.01), and the prevalence of sleep disorder increased with age (P < 0.01). The results of multivariate logistic regression analysis indicated older adults with sleep disorder had a risk of developing diabetes (P < 0.05). Moreover, the higher educational level, family history of diabetes, and obesity were the main risk factors for diabetes in participants (P < 0.01). Conclusion There are stark ethnic disparities in the prevalence of diabetes and sleep disorders in southwest China. Future diabetes prevention and control strategies should be tailored to address ethnicity, and improving sleep quality may reduce the prevalence of diabetes.

Validation of Nutritional Approaches to Modulate Cardiovascular and Diabetic Risk Factors in Patients with Hypertriglyceridemia or Prediabetes-The MoKaRi II Randomized Controlled Study.

Hypertriglyceridemia and diabetes mellitus type 2 are among the most important metabolic diseases globally. Diet plays a vital role in the development and progression of both clinical pictures. For the 10-week randomized, controlled, intervention study, 67 subjects with elevated plasma triglyceride (TG) concentrations (≥1.7 mmol/L) and 69 subjects with elevated fasting glucose concentrations (≥5.6 < 7.0 mmol/L) were recruited. The intervention groups received specially developed, individualized menu plans and regular counseling sessions to lower (A) TG or (B) fasting glucose and glycated hemoglobin A1c as well as other cardiovascular and diabetic risk factors. The hypertriglyceridemia intervention group was further supplemented with fish oil (3.5 g/d eicosapentaenoic acid + docosahexaenoic acid). The two control groups maintained a typical Western diet. Blood samples were taken every 2 weeks, and anthropometric data were collected. A follow-up examination was conducted after another 10 weeks. In both intervention groups, there were comparable significant reductions in blood lipids, glucose metabolism, and anthropometric parameters. These results were, with a few exceptions, significantly more pronounced in the intervention groups than in the corresponding control groups (comparison of percentage change from baseline). In particular, body weight was reduced by 7.4% (6.4 kg) and 7.5% (5.9 kg), low-density lipoprotein cholesterol concentrations by 19.8% (0.8 mmol/L) and 13.0% (0.5 mmol/L), TG concentrations by 18.2% (0.3 mmol/L) and 13.0% (0.2 mmol/L), and homeostatic model assessment for insulin resistance by 31.8% (1.1) and 26.4% (0.9) (p < 0.05) in the hypertriglyceridemia and prediabetes intervention groups, respectively. Some of these changes were maintained until follow-up. In patients with elevated TG or fasting glucose, implementing individualized menu plans in combination with regular counseling sessions over 10 weeks led to a significant improvement in cardiovascular and diabetic risk factors.

The future burden of type 2 diabetes in Belgium: a microsimulation model

ObjectiveTo forecast the annual burden of type 2 diabetes and related socio-demographic disparities in Belgium until 2030.MethodsThis study utilized a discrete-event transition microsimulation model. A synthetic population was created using 2018 national register data of the Belgian population aged 0–80 years, along with the national representative prevalence of diabetes risk factors obtained from the latest (2018) Belgian Health Interview and Examination Surveys using Multiple Imputation by Chained Equations (MICE) as inputs to the Simulation of Synthetic Complex Data (simPop) model. Mortality information was obtained from the Belgian vital statistics and used to calculate annual death probabilities. From 2018 to 2030, synthetic individuals transitioned annually from health to death, with or without developing type 2 diabetes, as predicted by the Finnish Diabetes Risk Score, and risk factors were updated via strata-specific transition probabilities.ResultsA total of 6722 [95% UI 3421, 11,583] new cases of type 2 diabetes per 100,000 inhabitants are expected between 2018 and 2030 in Belgium, representing a 32.8% and 19.3% increase in T2D prevalence rate and DALYs rate, respectively. While T2D burden remained highest for lower-education subgroups across all three Belgian regions, the highest increases in incidence and prevalence rates by 2030 are observed for women in general, and particularly among Flemish women reporting higher-education levels with a 114.5% and 44.6% increase in prevalence and DALYs rates, respectively. Existing age- and education-related inequalities will remain apparent in 2030 across all three regions.ConclusionsThe projected increase in the burden of T2D in Belgium highlights the urgent need for primary and secondary preventive strategies. While emphasis should be placed on the lower-education groups, it is also crucial to reinforce strategies for people of higher socioeconomic status as the burden of T2D is expected to increase significantly in this population segment.

Changes in physical activity and diabetes risk after cancer diagnosis: a nationwide cohort study.

Physical activity has the potential to reduce the risk of diabetes after cancer diagnosis. However, current evidence supporting its effects is limited. This study aims to examine the associations between changes in physical activity and subsequent risk of diabetes among cancer survivors. A total of 264,250 cancer survivors (mean age 56.7 (12.5) years, 44.2% males) without a prior history of diabetes were assessed for adherence to physical activity both before and after their diagnosis. The primary outcome was incident diabetes. The Fine-Gray proportional sub-distribution hazards model was used to calculate sub-distribution hazard ratios (sHRs) and 95% confidence intervals (CIs) for diabetes risk, considering death as a competing risk. Over a follow-up of 1,065,802 person-years, maintaining regular physical activity from pre-diagnosis was associated with a 10% reduced risk of diabetes after cancer diagnosis (sHR 0.90, 95% CI 0.85-0.96), considering traditional diabetes risk factors, sociodemographics, and primary cancer sites. Cancer survivors who became active and inactive after their cancer diagnosis exhibited a marginally decreased risk of diabetes (sHR 0.98, 95% CI 0.93-1.03; sHR 0.97, 95% CI 0.92-1.03). The strength and direction of the association varied depending on the primary site of cancer. Regular physical activity starting before a cancer diagnosis is associated with a lower risk of diabetes following the diagnosis, independent of established diabetes risk factors. The study underscores the importance of engaging in sufficient physical activity to mitigate the risk of diabetes in cancer survivors.

Correlation Between HbA1c and Body Mass Index Among Patients with High Lipid Profile Attending Johns Hopkins Aramco Healthcare Hospital in Saudi Arabia

BACKGROUND: Dyslipidemia is a modifiable risk factor for cardiovascular diseases, diabetes, and stroke. Obesity and elevated HbA1c levels are both risk factors for cardiovascular diseases. OBJECTIVES: The main objective of this study was to examine the relationship between HbA1C and body mass index among patients with high lipid profiles. METHODS: This retrospective, hospital-based study was conducted at Johns Hopkins Aramco Healthcare Facilities. Data were extracted from medical health records and included demographics, lipid profiles, and HbA1c measurements. The study included 2368 non-diabetic participants, and DATAtab was used to analyze the data. RESULTS: The participants were 57.05% male and 78.42% Saudi. The mean age was 41.48±12.1 years, and the mean body mass index was 28.44±5.53. There was a statistically significant relationship between the use of lipid lowering medicine and HbA1c (P&lt;0.001). There was a very weak positive but statistically significant relationship between HbA1c and body mass index (r = 0.18, P&lt;0.001). HbA1c and systolic blood pressure appeared to have a statistically significant positive association (r = 0.16, P&lt; 0.001). There was no correlation between HbA1c and low-density lipoprotein cholesterol, total cholesterol, or diastolic blood pressure. There was an inverse correlation between HbA1c and high-density lipoprotein cholesterol (r = -0.11, P&lt; 0.001). Regression was performed using a linear multivariable analysis with HbA1c as the dependent variable and age (B 0.192, P&lt;0.001), body mass index (B 0.119, P&lt;0.001), high-density lipoprotein cholesterol (B -0.058, P&lt;0.005), triglyceride (B 0.093, P&lt;0.001), lipid-lowering medication (B 0.104, P&lt;0.001), and systolic blood pressure (B 0.060, P&lt; 0.003) as independent variables. CONCLUSION: The results indicated that HbA1c is linked to body mass index, age, systolic blood pressure, triglycerides, and high-density lipoprotein cholesterol levels. There was no correlation between HbA1c and low-density lipoprotein cholesterol, total cholesterol, or diastolic blood pressure.

Genetic and Epigenetic Associations with Post-Transplant Diabetes Mellitus.

Post-transplant diabetes mellitus (PTDM) is a common complication of solid organ transplantation. PTDM prevalence varies due to different diabetes definitions. Consensus guidelines for the diagnosis of PTDM have been published based on random blood glucose levels, glycated hemoglobin (HbA1c), and oral glucose tolerance test (OGTT). The task of diagnosing PTDM continues to pose challenges, given the potential for diabetes to manifest at different time points after transplantation, thus demanding constant clinical vigilance and repeated testing. Interpreting HbA1c levels can be challenging after renal transplantation. Pre-transplant risk factors for PTDM include obesity, sedentary lifestyle, family history of diabetes, ethnicity (e.g., African-Caribbean or South Asian ancestry), and genetic risk factors. Risk factors for PTDM include immunosuppressive drugs, weight gain, hepatitis C, and cytomegalovirus infection. There is also emerging evidence that genetic and epigenetic variation in the organ transplant recipient may influence the risk of developing PTDM. This review outlines many known risk factors for PTDM and details some of the pathways, genetic variants, and epigenetic features associated with PTDM. Improved understanding of established and emerging risk factors may help identify people at risk of developing PTDM and may reduce the risk of developing PTDM or improve the management of this complication of organ transplantation.

Yogurt, in the context of a healthy diet, for the prevention and management of diabetes and obesity: a perspective from Argentina.

Diabetes is a non-communicable chronic, but preventable, disease whose occurrence is related to unhealthy lifestyles, including inadequate diet. Obesity is a risk factor for diabetes. In Argentina, 12.7% of the population is living with diabetes. In this work, we aimed at giving a perspective on the role of yogurt, as part of a healthy lifestyle, for the prevention and management of obesity and diabetes. The intake of yogurt declined in the last decade in Argentina. In the context of the global diet, the contribution of a moderate increase of yogurt consumption has the potential to improve up to 10% the nutritional density of the Argentine population's diet, given its present low diversity and wide gaps in nutritive foods. The consumption of yogurt can be beneficial in the prevention and management of obesity and T2DM. The ready availability of yogurt and its easy introduction to diverse diets suggests that educating the general public to incorporate this fermented milk as part of a healthy diet may potentially contribute to improved public health through prevention of NCDs and the costs associated with them.

Muscleness and fatness phenotypes for diabetes and hypertension prediction from the Chilean National Health Survey 2016-17

Introduction: diabetes and arterial hypertension are increasing in adults, where calf circumference and waist circumference are two clinical epidemiological markers poorly studied for predicting cardiometabolic risk. Objective: to characterize four phenotypical models in the Chilean adult population based on muscleness and fatness using both calf circumference and waist circumference outcomes. Methodology: An epidemiological observational cross-sectional representative study based on the Chilean National Health Survey 2016-17, where four phenotypes groups were analyzed; Low skeletal muscle mass and high-waist circumference (Lsmm-Hwc, n=140), low skeletal muscle mass and low waist circumference (Lsmm-Lwc, n=242), high skeletal muscle mass and high waist circumference (Hsmm-Hwc, n=1076), and high skeletal muscle mass and low waist circumference (Hsmm-Lwc, n=1358). These groups described information about diabetes, hypertension prevalence, including other risk factors. Results: the reference group Hsmm-Lwc group showed lower fasting plasma glucose (FPG) vs. Hsmm-Hwc (90,4 [95%CI] [89,0; 91,8] vs. 111,7 [109,1; 114,3]), and vs. Lsmm-Hwc (90,4 [89,0; 91,8] vs. 118.,3 [107,2; 129,4] mg/dL, both P&lt;0,0001). Lower levels (i.e., appropriate) of FPG (R2 4,8 %), glycated hemoglobin (R2 2,6 %), systolic BP (R2 19,0 %), and diastolic BP (R2 2,5 %) were significantly associated (all, P&lt;0,0001) with the Reference group Hsmm-Lwc. Conclusion: A high muscleness and low fatness phenotype is present in those who are younger adults, is associated with better glucose/blood pressure control, and reports low cardiovascular risk factors for diabetes and hypertension in Chilean adults

Assessing Priorities in a Statewide Cardiovascular and Diabetes Health Collaborative Based on the Results of a Needs Assessment: Cross-Sectional Survey Study.

The Ohio Cardiovascular and Diabetes Health Collaborative (Cardi-OH) unites general and subspecialty medical staff at the 7 medical schools in Ohio with community and public health partnerships to improve cardiovascular and diabetes health outcomes and eliminate disparities in Ohio's Medicaid population. Although statewide collaboratives exist to address health improvements, few deploy needs assessments to inform their work. Cardi-OH conducts an annual needs assessment to identify high-priority clinical topics, screening practices, policy changes for home monitoring devices and referrals, and preferences for the dissemination and implementation of evidence-based best practices. The results of the statewide needs assessment could also be used by others interested in disseminating best practices to primary care teams. A cross-sectional survey was distributed electronically via REDCap (Research Electronic Data Capture; Vanderbilt University) to both Cardi-OH grant-funded and non-grant-funded members (ie, people who have engaged with Cardi-OH but are not funded by the grant). In total, 88% (103/117) of Cardi-OH grant-funded members and 8.14% (98/1204) of non-grant-funded members completed the needs assessment survey. Of these, 51.5% (53/103) of Cardi-OH grant-funded members and 47% (46/98) of non-grant-funded members provided direct clinical care. The top cardiovascular medicine and diabetes clinical topics for Cardi-OH grant-funded members (clinical and nonclinical) were lifestyle prescriptions (50/103, 48.5%), atypical diabetes (38/103, 36.9%), COVID-19 and cardiovascular disease (CVD; 38/103, 36.9%), and mental health and CVD (38/103, 36.9%). For non-grant-funded members, the top topics were lifestyle prescriptions (53/98, 54%), mental health and CVD (39/98, 40%), alcohol and CVD (27/98, 28%), and cardiovascular complications (27/98, 28%). Regarding social determinants of health, Cardi-OH grant-funded members prioritized 3 topics: weight bias and stigma (44/103, 42.7%), family-focused interventions (40/103, 38.8%), and adverse childhood events (37/103, 35.9%). Non-grant-funded members' choices were family-focused interventions (51/98, 52%), implicit bias (43/98, 44%), and adverse childhood events (39/98, 40%). Assessment of other risk factors for CVD and diabetes across grant- and non-grant-funded members revealed screening for social determinants of health in approximately 50% of patients in each practice, whereas some frequency of depression and substance abuse screening occurred in 80% to 90% of the patients. Access to best practice home monitoring devices was challenging, with 30% (16/53) and 41% (19/46) of clinical grant-funded and non-grant-funded members reporting challenges in obtaining home blood pressure monitoring devices and 68% (36/53) and 43% (20/46) reporting challenges with continuous glucose monitors. Cardi-OH grant- and non-grant-funded members shared the following high-priority topics: lifestyle prescriptions, CVD and mental health, family-focused interventions, alcohol and CVD, and adverse childhood experiences. Identifying high-priority educational topics and preferred delivery modalities for evidence-based materials is essential for ensuring that the dissemination of resources is practical and useful for providers.

The use of artificial intelligence in the diagnosis and detection of complications of diabetes

Introduction: Diabetes poses a significant global health challenge, impacting patient well-being and longevity. Despite advances in diagnosis and treatment, the prevalence of diabetes continues to rise, with projections indicating a substantial increase in affected individuals in the coming years. The complications of diabetes, including cardiovascular disease, retinopathy, nephropathy, and neuropathy, underscore the importance of early detection and management. In this context, artificial intelligence (AI) offers promising opportunities to revolutionize diabetes care, enabling faster diagnostics, more effective treatment strategies.&#x0D; Description of the State of Knowledge: Artificial intelligence (AI) has emerged as a transformative force in healthcare, leveraging machine learning and deep learning algorithms to analyze vast amounts of medical data. These algorithms enable more accurate diagnosis, prediction of disease onset, and early detection of complications associated with diabetes. Machine learning models, including support vector machines and neural networks, have shown promise in identifying diabetes risk factors and predicting disease progression. Deep learning techniques, with their ability to analyze complex data patterns, offer further insights into diabetes diagnosis. Additionally, fuzzy cognitive maps provide a framework for decision-making based on patient data, enhancing early detection efforts.&#x0D; Summary: Artificial intelligence holds immense potential to transform diabetes care, offering solutions for early detection, personalized treatment, and improved patient outcomes. By harnessing the power of AI algorithms, healthcare providers can enhance diagnostic accuracy, predict disease progression, and implement targeted interventions.

Health Status of Working Women in a Tertiary Care Center, North Kerala, India: During the COVID-19 Pandemic

Introduction: Women constitute about one-half of the workforces in most countries and spend a significant proportion of their time at the workplace, contributing to a lot of physical and mental stress. The health-care professional in the workforce was the most affected during the COVID-19 pandemic. COVID-19 and noncommunicable diseases (NCDs) and associated risk factors have a substantial correlation. According to numerous studies from around the world, people who already have established risk factors such as diabetes, hypertension, obesity, or other vascular risk factors, are more likely to contract COVID-19 and experience complications or even pass away from it. Objectives: The objective is to assess the health status of working women in a tertiary health-care center in Kerala during the COVID-19 pandemic. Methodology: The study was done in a tertiary health-care center in Kozhikode district, Kerala, South India. This center comprises medical, paramedical and nursing institutes. A total of 262 women were included in the study, and data were collected using a semi-structured questionnaire. Results: This study demonstrated that working women’s stress was prevalent. It reveals that 94 (99.4%) women experience stress, 60.7% experience depression, 72.5% do not engage in daily physical activity and 80.8% of women were at risk of having NCDs. Conclusion: This study was an attempt to explore the health status of the women’s working health status during COVID-19 time. It found that some women are hypertensive, depressed and have stress-related disorders such as anxiety and worries. Mental health is directly linked with physical activity. The stress levels were controlled for those who were involved in physical activity on regular basis. Hence, we should work on this area to help improve these conditions.

Trend and projection of non-communicable diseases risk factors in Iran from 2001 to 2030

This study aims to investigate the trends and project the major risk factors of Non-communicable Diseases (NCDs) in Iran. We obtained the trend of prevalence of main risk factors related to NCDs in 30 to 70-year-old-individuals. The data were extracted from WHO STEP wise approach to NCDs risk factor surveillance (STEPS) survey. Also,the previous studies conducted at national and subnational levels from 2001 to 2016 were employed. The prevalence of risk factors was projected by 2030 using Bayesian Model Averaging (BMA) and Spatio-temporal model stratified by sex and province. The percent change for the age-standardized prevalence of smoking in men between 2001 and 2016 was calculated to be − 27.0. Also, the corresponding values for the risk factors of diabetes, hypertension, obesity and overweight, physical inactivity (PI), and mean of salt intake were − 26.1, 29.0, 70.0, 96.8, 116.6, and 7.5, respectively. It is predicted that smoking and these risk factors will undergo a change to show values of − 1.26, 38.7, 43.7, 2.36, and 15.3 by 2030, respectively. The corresponding values in women for the time interval of 2001–2016 were − 27.3, 26.3, 82.8, 1.88, 75.2, and 4.2, respectively. Plus, projections indicate that the 2030 variation values are expected to be − 25.0, 16.7, 37.5, 28.7, 26.7, and 10.9 respectively. This study showed that the prevalence of four risk factors of PI, overweight and obesity, hypertension, and diabetes is increasing in Iran. Therefor, it is necessary to carry out effective interventions to adopt a healthy lifestyle and reduce the risk factors.

Prevalence of cardiometabolic risk factors according to urbanization level, gender and age, in apparently healthy adults living in Gabon, Central Africa.

The prevalence of cardiometabolic risk factors (CMRFs) is increasing in sub-Saharan Africa and represents a serious public health issue. Accurate data are required to implement adapted prevention programs and healthcare strategies. Thus, the aim of this study was to estimate the prevalence rates of CMRFs according to the level of urbanization, age and gender in Gabon. A cross-sectional study was conducted in northern (Bitam), western coast (Libreville, Melen) and southeast (Koulamoutou) areas of Gabon using the World Health Organization's (WHO) stepwise approach for the surveillance of chronic disease risk factors. Participants over 18 years of age, without known underlying disease, living in rural and urban areas of Gabon were included. Sociodemographic, biological, and behavioral data were collected. Univariate and multivariate analysis were used to identify the CMRFs. Of the 978 participants, 499 lived in urban and 479 in rural areas. Their median age was 38[28-50] years. Tobacco (26.1% vs 6.2%; p < 0.01) and excessive alcohol consumption (19.4% vs 9.6%; p < 0.01) predominated in rural than in urban areas, respectively. Urban dwellers had more often insufficient physical activity than rural people (29.5% vs 16.3%; p < 0.01). In total, 79.9% of participants aged under 54 years had a high blood pressure;10.6% of the younger participants had pre-hypertension. Metabolic syndrome was more frequent in women (21.7%) than in men (10.0%) (p < 0.01); 6.4% of men and 2.5% of women had a high Framingham score (p = 0.03). Finally, 54.0% of the participants had three or four CMRFs. The multivariate analysis showed that men were more likely to be smokers and to be at risk of pre-hypertension or high blood pressure (p < 0.01). Women were more likely to be obese or to have a metabolic syndrome (p < 0.01). Living in urban areas was also a risk factor for hypertension, diabetes, metabolic syndrome and high LDL cholesterol level. The prevalence of CMRFs was high in the study population. Disparities were observed according to urban and rural areas, gender and age. National prevention and healthcare strategies for cardiometabolic diseases in Gabon should consider these observed differences.

Association between dental scaling and metabolic syndrome and lifestyle.

Periodontal disease is a risk factor for diabetes and metabolic syndrome, and non-surgical periodontal treatment has been shown to help maintain stable blood sugar in diabetic patients. Determining the level of preventive scaling in patients with metabolic syndrome will help manage the disease. The purpose of this study was to investigate the extent to which people with metabolic syndrome or bad lifestyle performed scaling and the association between preventive scaling and metabolic syndrome or lifestyle in a large population. This study was conducted on adults aged 20 years or older from January 2014 to December 2017 in the National Health Insurance System (NHIS) database. Among 558,067 people who underwent health checkups, 555,929 people were included. A total of 543,791 people were investigated for preventive scaling. Metabolic syndrome components were abdominal obesity, lower high density lipoprotein cholesterol (HDL)-C, high triglycerides, high blood pressure and hyperglycemia. Unhealthy lifestyle score was calculated by assigning 1 point each for current smokers, drinkers, and no performing regular exercise. When multiple logistic regression analysis was performed after adjusting for age, sex, income, body mass index (BMI), smoking, drinking and regular exercise, the Odds ratios (OR) and 95% confidence intervals (CI) of the group with 5 metabolic syndrome components were 0.741 (0.710, 0.773) (p<0.0001). After adjustment for age, sex, income, BMI, smoking, drinking, regular exercise, diabetes, hypertension and dyslipidemia, the OR (95% CI) of the group with unhealthy lifestyle score = 3 was 0.612 (0.586, 0.640) (p<0.0001). The more metabolic syndrome components, and the higher unhealthy lifestyle score, the less scaling was performed.

230 Assessing the Role of Youth Sports in Diabetes Prevention and Perceived Discrimination

OBJECTIVES/GOALS: Our study aims to 1) examine the link between engagement in CLR Academy and youth diabetes risk factors—physical activity, nutrition, mental health, and weight status; 2) examine CLR’s role in moderating the relationship between perceived discrimination and these risk factors. Includes a program evaluation of CLR &amp; interviews of members. METHODS/STUDY POPULATION: Youth-onset diabetes is rising in American minority communities. Youth sports programs like the Community Leadership Revolution (CLR) Academy in Washtenaw County, MI are emerging responses to this issue. CLR targets diabetes risk factors through team sports by promoting mindfulness and healthy habits. Employing a mixed-methods, pretest-posttest approach, our study focuses on how the frequency of engagement in CLR impacts CLR’s effect on youth’s diabetes risk factors. Considering the discrimination minority youth experience, we also aim to see if CLR potentially buffers the impact of perceived discrimination on diabetes risk factors. A posttest program evaluation of CLR will also include semi-structured interviews with CLR staff and participants. RESULTS/ANTICIPATED RESULTS: There is potential that youth with high engagement in CLR Academy may see enhanced benefits in managing diabetes risk factors compared to less active participants. This may be particularly true for youth experiencing high perceived discrimination, with potential marked improvements in mental health, like reduced anxiety and depression. Additionally, through a program evaluation and semi-structured interviews, our study aims to uncover the factors contributing to CLR’s success as a community-led intervention while also identifying areas for enhancement. Post-study, CLR will receive financial support to integrate these insights into their program, furthering their effectiveness in youth diabetes prevention and overall well-being. DISCUSSION/SIGNIFICANCE: This study may provide significant insights into the relationship between sports participation, diabetes risk factors, and perceived discrimination. The findings could help CLR improve its program and guide more effective diabetes prevention strategies in minority youth through other youth sports programs.

IJCM_179A: Prevalence of Overweight and Obesity among M.B.B.S students.

Background: Overweight and obesity are defined as abnormal or excessive fat accumulation that may impair health. Prevalence of overweight and obesity is rising in India. Medical students are vulnerable to overweight and obesity because of the sedentary lifestyle which is frequently adopted due to massive work burden, erratic food timings and exposure to stressful situations. Obesity is a well known risk factor for diabetes, hypertension, fatty liver disease, gall stones and osteoarthritis. Hence, this study is taken up to assess prevalence of overweight and obesity among M.B.B.S students. Objective: To assess prevalence of overweight and obesity and associated factors among M.B.B.S students in N.S.C.B Medical College, Jabalpur, Madhya Pradesh. Methodology: A descriptive cross - sectional study is conducted among medical students of N.S.C.B Medical College, Jabalpur, Madhya Pradesh. Socio demographic details are recorded using structured proforma. Anthropometric and clinical parameters are measured using standard techniques. The data will be analyzed using SPSS software. Statistical analysis will be done by using appropriate statistical test. Results: Out of 310 medical students 61% (189) were males and 39% (121) were females. Prevalence of overweight and obesity according to WHO classification of BMI, was 14.33% and 3.34% respectively and according to Asia Pacific classification, it was 9.7 % and 17.66 % respectively. Significant association was found between overweight/obesity and eating junk food and carbonated drinks (p&lt;0.05) and habit of munching between meals (p&lt;0.05). Conclusion: Prevalence of overweight and obesity was 14.33% and 3.34% respectively among medical students of NSCB Medical College, Jabalpur, MP.

Age at natural menopause and development of chronic diseases in the female population of Kharameh, Iran: A historical cohort study.

Declines in estradiol levels after menopause have been reported to be associated with several health outcomes. This study aimed to determine the effect of age at natural menopause (ANM) on some of the most common chronic diseases. This historical cohort study was performed on 2636 postmenopausal women aged 40-70 years participating in phase one of the PERSIAN cohort study in Kharameh, Iran, during 2015-2017. The effect of early (<45 years), intermediate (45-53 years), and late menopause (>53 years) on chronic diseases such as hypertension, diabetes, ischemic heart diseases, stroke, thyroid diseases, and depression was assessed using classic logistic regression for diseases with an incidence rate of more than 10% and Firth's logistic regression for diseases with an incidence of less than this amount. The mean age of women was 53.48 ± 8.59. Respectively, early and intermediate menopause was associated with ischemic heart disease (odds ratio [OR = 1.61, 95% confidence interval [CI]: 1.08-2.42; p = 0.020), (OR = 1.57, 95% CI: 1.13-2.21; p = 0.008) and thyroid diseases (OR = 3.10, 95% CI: 1.64-6.24; p < 0.001), (OR = 1.83, 95% CI: 1.02-3.57; p = 0.042). furthermore, early menopause was a risk factor for diabetes (OR = 1.46, 95% CI: 1.07-2.00; p = 0.018), depression (OR = 4.79, 95% CI: 2.20-11.79; p = <0.001) and stroke (OR = 3.00, 95% CI: 1.08-9.32; p = 0.034). In this study, women with diabetes, ischemic heart diseases, stroke, thyroid disorders, and depression had a younger ANM compared to their healthy counterparts. Therefore, applying appropriate strategies to postpone the age of menopause, can reduce the incidence of these types of chronic diseases.

Dietary fat consumption frequency and body mass index of middle-age adults in Mumbai city, India during COVID-19 pandemic

Obesity and COVID-19 are global pandemics listed by World Health Organization, which need urgent attention. Obesity involves low grade chronic inflammation, which is characterised by sustained pro-inflammatory innate immune responses mediated through activation of the NLR family pyrin domain-containing 3 (NLRP3) inflammasome/IL-1 axis, and is a strong risk factor for Diabetes and Heart diseases(1). Dietary fats provide energy, satiety, source of fat-soluble vitamins and essential fatty acids – Omega 3 (n-3) and Omega 6 (n-6) fatty acids, but must be consumed in right amounts and ratios. Essential fatty acids (EFA) deficiency and n-6/n-3 imbalance is linked with chronic illnesses such as, heart attacks, cancer, insulin resistance, stroke, obesity, and diabetes(2). Excess dietary fat intake and imbalance of fatty acids, contribute to obesity, inflammation, comorbidities and faster disease progression. A cross-sectional survey aimed to understand the fatty food frequency of overweight and obese middle age adults from Mumbai, India during the COVID-19 outbreak. Using purposive sampling, 100 adults (30-60 years), a questionnaire (demographics, anthropometrics and fat food frequency questionnaire) was administered. Data was analysed using SPSS 26.0. As per BMI standards, 60.2% participants were overweight, 12.6% were obese and 27.1% had normal BMI. For visible fat consumption, sunflower oil (47.6%), ghee (38.8%), rice bran oil (34%) groundnut oil (11.7%) and invisible fats – milk (100%). Other dairy products, nuts and oilseeds were consumed weekly. twice a week, majority (92.3%) consumed packaged high fat foods as compared to eating deep-fried items (58.9%). We concluded that excess dietary fat intake is high risk factor for obesity and related comorbidities diabetes, and hypertension. High BMI increases the risk for non-communicable diseases (NCDs) such as obesity, cardiovascular disease (CVD), insulin resistance and type 2 diabetes. People with co-morbidities are high risk groups for COVID-19 infection susceptibility. Hence, managing weight could be a cost-effective preventive strategy to help in delaying the onset and progression of NCDs, thereby lowering the susceptibility to COVID-19. Our findings have important implications in working towards adopting healthy fats and reducing mortality and reducing the global burden of pandemic. High dietary fat intake is a modifiable risk factor for overweight and obesity. Comorbidities increased risk for COVID-19 infection, disease severity and mortality. Hence, there is a need to understand the dietary fat consumption patterns in obesity and COVID-19. Dietary carbohydrate, sugar and fat quality in relation to obesity and pandemic such as, COVID-19 could be explored in future studies.

Diabetes, hypertension, and other cardiovascular disease risk factors among adults in an urban underprivileged community in Bangalore city, India.

Diabetes and hypertension are major risk factors of cardiovascular disease, which is known to be the leading cause of global mortality in the world today. Studies have shown that the prevalence of these risk factors is on the rise, with the burden of diabetes alone increasing by 80% in the last two decades. Complications of diabetes and hypertension result in huge public health challenges for the country and catastrophic medical expenditures for families among the urban poor. Our study aims to estimate the prevalence of diabetes, hypertension, and other cardiovascular risk factors among adults in an urban underprivileged community of Bengaluru city. A cross-sectional study was conducted over a period of 6 months where 2245 individuals aged 30 or older were interviewed using a structured interviewer-administered questionnaire used to capture sociodemographic details that assessed modifiable risk factors for diabetes and hypertension. Inclusion criteria for diabetes were considered if the random blood sugar reading was ≥200 mg/dL, whereas a diagnosis of hypertension was taken into consideration if the systolic blood pressure reading was ≥140 mmHg and/or diastolic blood pressure was ≥90 mmHg. Among the 2245 participants that took part in the study, 15.5% were diabetics and 17.2% were hypertensive. There was a strong association of diabetes among consumers of alcohol, with more than one-third having a high prevalence of the disease (odds ratio (OR): 2.09, 95% confidence interval (95% CI): 1.1-3.9). More than half the population were consumers of junk food; the prevalence of diabetes in this group was 1.35 times higher than that in their counterparts (OR: 1.35, 95% CI: 1.0-1.8). A significant association of diabetes was also seen among those identified with central obesity (OR: 1.83, 95% CI: 1.4-2.5). One-third of the population who consumed alcohol were found to be diagnosed with hypertension (OR: 3.08, 95% CI: 1.6-5.9), and one-fifth of individuals who were regular consumers of junk food had a higher prevalence of hypertension (OR: 1.41, 95% CI: 1.1-1.8). A higher prevalence of hypertension was also seen among individuals with central obesity or a body mass index (BMI) of >30 (OR: 1.59, 95% CI: 1.2-2.1; OR: 1.92, 95% CI: 1.4-2.6). The findings from our study conducted in an urban underprivileged area of Bengaluru city shed light on the significant associations between diabetes and hypertension and various demographic and lifestyle factors. Specifically, male gender and lower educational status were found to have a significant association with diabetes, whereas being unmarried and having a high BMI status were strongly linked to hypertension. In addition, the study revealed that elderly individuals, alcohol consumers, junk food eaters, and those with central obesity demonstrated an increased risk for both diabetes and hypertension. By identifying these risk factors, targeted interventions can be developed to address the unique challenges faced by this vulnerable section of society. Strategies can be designed to raise awareness, encourage healthier lifestyle choices, and improve access to healthcare services to effectively prevent and manage diabetes and hypertension in this community.

Diagnosis and Risk Factors of Prediabetes and Diabetes in People Living With Human Immunodeficiency Virus: Evaluation of Clinical and Microbiome Parameters.

Diabetes mellitus (DM) is more common among people living with human immunodeficiency virus (PLWH) compared with healthy individuals. In a prospective multicenter study (N = 248), we identified normoglycemic (48.7%), prediabetic (44.4%), and diabetic (6.9%) PLWH. Glycosylated hemoglobin (HbA1c) and fasting blood glucose (FBG) sensitivity in defining dysglycemia was 96.8%, while addition of oral glucose tolerance test led to reclassification of only 4 patients. Inclusion of 93 additional PLWH with known DM enabled identification of multiple independent predictors of dysglycemia or diabetes: older age, higher body mass index, Ethiopian origin, HIV duration, lower integrase inhibitor exposure, and advanced disease at diagnosis. Shotgun metagenomic microbiome analysis revealed 4 species that were significantly expanded with hyperglycemia/hyperinsulinemia, and 2 species that were differentially more prevalent in prediabetic/diabetic PLWH. Collectively, we uncover multiple potential host and microbiome predictors of altered glycemic status in PLWH, while demonstrating that FBG and HbA1c likely suffice for diabetes screening. These potential diabetic predictors merit future prospective validation.