BACKGROUND: There has been a significant rise in the number of individuals diagnosed with type 2 diabetes mellitus (T2DM), with the condition reaching epidemic proportions globally. This study examined the dietary pattern of a sample of Saudi Arabian adults with T2DM compared to control non-diabetics.
METHODS: Data from 414 participants, 207 control and 207 T2DM was analyzed. Anthropometric measurements, foods intake such as vegetables, fruits, whole grains, fried foods, sweetened juice, sweets, and pastries consumption as well as physical activity were obtained by an interview-survey.
RESULTS: The consumption of vegetables, green and leafy vegetables, starchy vegetables, fruits, proteins, and milk was significantly higher in the diabetics (p< 0.0001 for all and p<0.01 for starchy vegetables). Of the case group, 79.7% of them consumed whole-wheat bread while 54.6% of them consumed low fat milk (p<0.0001). There was a significant decrease in the percentage of cases who consumed discretionary foods and sweetened juices and soft drinks (24.1%), avoided sweets (75.8%) and pastries (37.1%), (p<0.0001). There were also significant increases in the percentages of participants who use healthy fat (as olive oil) in the case group (78.7%) (p<0.001). There was a significant increase in the percentage of diabetics who followed a diet to lose weight (15%) (p<0.05). The majority of the two study groups were physically inactive (control 95.2% & case 94.2%).
CONCLUSIONS: The results of this study provide insight on that diabetics generally follow a healthy diet, yet their engagement in physical activity may not be optimal.

Despite Mississippi\'s high diabetes prevalence and the growing literature finding significant associations between adverse childhood experiences (ACEs) and diabetes, no research has examined the relationship between ACEs and diabetes risk in Mississippi adults. This study utilized data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) to determine if such a relationship existed. Data for Mississippi respondents were weighted to account for nonresponse bias and non-coverage errors. Each respondent\'s total ACE exposure score was calculated based on the number of ACE categories experienced. Multivariate logistic regression was utilized to model the relationship between diabetes and ACE categories and diabetes and total ACE exposure scores. Variables that were significant at p<0.05 were retained in the final (best-fitting) models. All models were adjusted for sex, age, race, level of education, income, and body mass index (BMI). After adjusting for covariates, those experiencing physical abuse (adjusted odds ratio (AOR) 1.72, 95% CI 1.69; 1.75) or sexual abuse (AOR 1.56, 95% CI 1.53; 1.58) had the highest odds of ever being diagnosed with diabetes. Experiencing one ACE (AOR 1.02, 95% CI 1.01; 1.03) was associated with slightly higher odds of having diabetes, while experiencing seven ACE categories (AOR 2.20, 95% CI 2.10; 2.31) had the highest odds. Overall, this study shows a strong association between ACEs and a diagnosis of diabetes in the state of Mississippi. This relationship represents an important focus area for prevention efforts in legislation, public health campaigns, and universal screening procedures in primary care that may decrease the prevalence and burden of diabetes in Mississippi.

Early identification and lifestyle intervention is beneficial for people with risk for diabetes. The aim of this study was to evaluate the risk of type 2 diabetes (T2D) in healthy overweight or obese women using the FINDRISC score and a twelve-week long mobile app-based lifestyle intervention.Fifty-four subjects were involved and forty-eight were analysed, n = 28 in the intervention group (online group: OG) and n = 20 in the control group (CG). Body composition was assessed using the InBody 720 device and diabetes risk was evaluated with the Finnish Diabetes Risk Questionnaire. The calorie intake and macronutrients were evaluated by a 3-day diary. Group differences and pre- and post-results were analysed using student t-tests by TIBCO Statistica 13.40.14.Significantly decreased body mass index (28.0 ± 2.5 kg m-2 vs 25.8 ± 4.3 kg m-2, P = 0.00), body fat percentage (37.5 ± 6.3% vs 34.1 ± 5.9%, P = 0.03), waist circumference (100.8 ± 7.2 cm vs 94.7 ± 8.2 cm, P = 0.00) and visceral fat (124.0 ± 29.2 cm³ vs 109.0 ± 24.6 cm³, P = 0.04) were found in the OG. By the end of the programme, both groups showed significant decrease in food consumption, daily calorie intake (OG: 2,348.6 ± 348.0 vs 1,483.1 ± 114.4, CG: 2,372.4 ± 464.2 vs 1,654.1 ± 201.3 kcal day-1, P = 0.00), fibre (OG: 19.5 ± 3.7 vs 26.1 ± 3.4, CG: 17.8 ± 3.9 vs 22.0 ± 4.8 g day-1, P = 0.00) and cholesterol consumption (OG: 365.2 ± 58.9 vs 266.2 ± 65.8, CG: 377.4 ± 72.1 vs 269.2 ± 42.7 mg day-1, P = 0.00). OG had a more significant reduction in body mass index (P = 0.03) and body fat percentage (P = 0.04) values at the end of the programme compared to the control group.In this study, it was found that mHealth intervention is a useful and effective method in the Hungarian female population. Further studies are needed to investigate modifications of this intervention to achieve more health-related effects.

UNASSIGNED: The diabetes is one of the most common noncommunicable diseases, the prevalence of which is increasing worldwide. This study aimed to determine the prevalence, and correlates the factors of diabetes in the setting of Shahedieh cohort study in Yazd, Iran.
UNASSIGNED: The present study is a cross-sectional study conducted on the data of the initial stage of Shahdieh Yazd cohort. This study examined the data of 9747 participants aged from 30 to 73 years. The data included demographic, clinical, and blood test variables. Multivariable logistic regression was used to calculate the adjusted odds ratio (OR), and the risk factors of diabetes were studied. Meanwhile, population attributable risks for diabetes were estimated, and reported.
UNASSIGNED: The prevalence of diabetes was 17.9% (CI95%: 17.1-18.9); 20.5% in women, and 15.4% in men. Based on the results of multivariable logistic regression showed female sex (OR = 1.4, CI95%: 1.24-1.58), waist-hip ratio (OR = 1.4, CI95%: 1.24-1.58), high blood pressure (OR = 2.1, CI95%: 1.84-2.4), cardiovascular diseases (CVD) (OR = 1.52, CI95%: 1.28-1.82), stroke (OR = 1.91, CI95%: 1.24-2.94), age (OR = 1.81, CI95%: 1.67-1.96), hypercholesterolemia (OR = 1.79, CI95% triglyceride: 1.59-2.02), and low-density lipoprotein (LDL) (OR = 1.45, CI95%: 1.4-1.51), as risk factors for diabetes. Among the modifiable risk factors, high blood pressure(52.38%), waist-to-hip ratio (48.19%), the history of stroke (47.64%), hypercholesterolemia (44.13%), history of CVD (34.21%), and LDL ≥ 130 (31.03%) had the greatest population-attributable, respectively.
UNASSIGNED: The results showed that some of the main determinants of diabetes are the modifiable risk factors. Therefore, implementing early detection, and screening programs for people at risk and preventive measures, such as lifestyle modification programs, and control of risk factors can prevent this disease.

Regular monitoring of public awareness of diabetes is necessary to provide effective educational and preventive strategies. This study aimed to assess (1) public knowledge and awareness of diabetes among adults in Poland, as well as (2) to identify sociodemographic factors associated with public awareness of diabetes.
This cross-sectional survey was carried out between 24 and 27 June 2022, on a non-probability random quota sample of 1,051 adults in Poland. The questionnaire included ten questions related to the awareness of risk factors, symptoms, and complications of diabetes.
Among the respondents, 10.5% had diabetes and 43.8% declared that they have a history of diabetes in their family. Only 17.3% of respondents declared a good level of knowledge of diabetes. Out of 10 symptoms of diabetes analyzed in this study, high blood sugar (80.7%) and chronic fatigue (74.6%) were the most recognized. Out of 8 diabetes risk factors analyzed in this study, overweight/obesity (80.4%) and unhealthy diet (74.1%) were the most recognized diabetes risk factors, while only 22.7% of respondents indicated tobacco use. The diabetic foot was the most recognized diabetes complication (79.8%), but approximately half of the respondents indicated vision problems (56.9%), kidney damage (52.1%), or cardiovascular diseases (50.2%) as diabetes complications. Female gender, having higher education and having a family member with diabetes were the most im-portent factors associated (p < 0.05) with a higher level of awareness of diabetes.
This study demonstrated insufficient public awareness of diabetes among adults in Poland. Gender and educational level were the most important factors significantly associated with the awareness of the selected aspects of diabetes, while self-reported financial situation and place of residence had none or marginal influence. The presented data manifest the importance of adopting a comprehensive education strategy regarding diabetes in Poland.

UNASSIGNED: A little less than half of American adults have diabetes or pre-diabetes. In 2016, West Virginia (WV) had the highest percentage (15.2%) of adults with diagnosed diabetes in the U.S.
UNASSIGNED: In partnership with the Health Sciences and Technology Academy (HSTA), a cross-sectional study was preformed to assess knowledge, behaviors, and perceptions of diabetes risk.
UNASSIGNED: Data was collected by trained HSTA students and teachers who lived in rural counties in WV. Information was assessed using validated surveys, and HbA1c was obtained by utilizing professional point-of-care (Bayer) kits.
UNASSIGNED: Mean age and Body Mass Index (BMI) was 36.11±17.86 years and 27.80±6.09 kg/m2, respectively. More than half of the participants had a family history of diabetes (58.8%) and hypertension (60.2%), and a majority had elevated BMI (65.9%). However, only 29.2% rated their future risk for diabetes as moderate to high. Eighty percent (80%) had an inadequate amount of weekly exercise, and 36% had lower quality of diet. Overall, dietary quality and diabetes knowledge was associated with a low to moderate diabetes risk score; risk score positively correlated with higher HbA1c (r=0.439, P<.001). Participants\' HbA1c, perceived future risk of diabetes and family history of diabetes emerged as significant predictors of diabetes risk in the regression model, controlling for health behavior and diabetes knowledge.
UNASSIGNED: HbA1c, perceived future risk of diabetes and family history of diabetes may be the best predictors of developing diabetes in the future and, therefore, are important to assess during community screening. Perception of diabetes risk is lower than actual diabetes risk in WV.

Psychosocial factors such as self-efficacy may be important in helping high-risk adults prevent diabetes. We aimed to describe psychosocial and diabetes risk factors in adults with prediabetes and evaluate if these varied by demographic characteristics. Cross-sectional data came from baseline surveys and electronic health records (2018-2021) of adults with prediabetes enrolled in a randomized study of peer support for diabetes prevention at Kaiser Permanente Northern California and Michigan Medicine. Linear regression was used to compare differences between racial/ethnic groups, adjusting for age, sex, and clinic. Of 336 participants in the study, 62% were female; median age was 57; 41% were White, 35% African American, 9% Hispanic. Mean autonomous motivation was 6.6 and self-efficacy to prevent diabetes was 6.0 (1-7 scale); mean perceived social support was 47 (12-72 scale). Hispanic adults reported higher autonomous motivation and African American adults reported higher self-efficacy compared to White adults. Hispanic and African American adults had more diabetes risk factors than White adults, including greater family history of diabetes, hypertension, sugar-sweetened beverage consumption, physical inactivity and food insecurity. In conclusion, participants reported high levels of autonomous motivation and self-efficacy at baseline, with Hispanic and African American adults reporting higher levels of some psychosocial factors related to behavior change, suggesting a significant opportunity to engage a diverse population of adults with prediabetes in diabetes prevention strategies. However, Hispanic and African American participants showed greater diabetes risk factors levels. Diabetes prevention efforts should address both to reduce diabetes incidence.

UNASSIGNED: In pregnant women with gestational diabetes mellitus (GDM), insulin resistance (IR) increases the risk of developing manifest type 2 diabetes mellitus and is associated with complications in both mother and fetus.
UNASSIGNED: This research aimed to evaluate the associations between IR evaluated by 3 indices (namely updated homeostasis model assessment model (HOMA2), QUICKI, and McAuley\'s index) and the diabetes risk factors and the fetal growth indices in Vietnamese women with GDM.
UNASSIGNED: A cross-sectional descriptive study was conducted on 370 women with GDM and 40 healthy pregnant women from January 2015 to May 2019. IR was calculated by HOMA2 (HOMA2-IR), QUICKI, and McAuley\'s index. Fetal anthropometric measurements were assessed via ultrasound which was performed and interpreted by ultrasound experts.
UNASSIGNED: In the simple regression analysis, McAuley\'s index illustrated had statistically significant correlations to the highest number of risk factors of diabetes mellitus compared with HOMA2-IR and QUICKI indices. Moreover, McAuley\'s index correlated statistically significantly to the highest number of fetal ultrasound measurements factors such as including biparietal diameter (BPD) (r = -0.271, P < .001), head circumference (HC) (r = -0.225, P < .001), abdominal circumference (AC) (r = -0.214, P < .001), femur length (FL) (r = -0.231, P < .001), estimated fetal weight (EFW) (r = -0.239, P < .001) and fetal estimated age (r = -0.299, P < .001). In the multivariable analysis, the McAuley\'s index contributed the greatest to AC (Standardized B of -0.656, P < .001).
UNASSIGNED: The McAuley\'s index was significantly associated with a higher number of more risk factors for diabetes mellitus as well as fetal ultrasound sonography findings measurements than compared with HOMA2-IR and QUICKI indices.

The prevalence of diabetes mellitus (DM) is growing enormously worldwide, and actions need to be taken in order to minimize the burden of diabetes mellitus and reduce its complications. Since two-thirds of Kuwait\'s population are expatriates, the prevalence of and factors associated with diabetes among migrant workers was assessed as it has a significant impact on migrant workers\' quality of life, health, and productivity. The data used in this study was for all migrant workers who attended Shuaiba Industrial Medical Center (SIMC) for physical examination in the year 2018. Univariate and multivariate regression were used to assess the relationship between diabetes mellitus and the other independent factors where odds ratios with confidence intervals were delineated. Information for a total of 3477 participants was recorded in the dataset for 2018. Of the total participants, 10.1% had diabetes mellitus. About 49% of the participants were overweight. The largest age group of participants was between 31 and 40 years of age. A small percentage of the participants were diagnosed with hypertension at 11.8%. Additionally, 76.1% of the participants reported themselves as non-smokers. Diabetes was positively associated with age, hypertension, and nationalities. However, no association was found between BMI and smoking tobacco. This is the first study in SIMC to assess DM and its associated risk factor among migrants, since migrant workers are neglected subpopulations that need our focus and attention to achieve justice and fairness. The findings revealed that the prevalence of DM among our study population was considerably lower. However, a healthy lifestyle, including a healthy diet and being physically active, need to be introduced to prevent any further damage.

Diabetes mellitus is one of the most common human diseases worldwide and may cause several health-related complications. It is responsible for considerable morbidity, mortality, and economic loss. A timely diagnosis and prediction of this disease could provide patients with an opportunity to take the appropriate preventive and treatment strategies. To improve the understanding of risk factors, we predict type 2 diabetes for Pima Indian women utilizing a logistic regression model and decision tree-a machine learning algorithm. Our analysis finds five main predictors of type 2 diabetes: glucose, pregnancy, body mass index (BMI), diabetes pedigree function, and age. We further explore a classification tree to complement and validate our analysis. The six-fold classification tree indicates glucose, BMI, and age are important factors, while the ten-node tree implies glucose, BMI, pregnancy, diabetes pedigree function, and age as the significant predictors. Our preferred specification yields a prediction accuracy of 78.26% and a cross-validation error rate of 21.74%. We argue that our model can be applied to make a reasonable prediction of type 2 diabetes, and could potentially be used to complement existing preventive measures to curb the incidence of diabetes and reduce associated costs.