Preventing type 2 diabetes mellitus in Qatar by reducing obesity, smoking, and physical inactivity: mathematical modeling analyses.

BACKGROUND: The aim of this study was to estimate the impact of reducing the prevalence of obesity, smoking, and physical inactivity, and introducing physical activity as an explicit intervention, on the burden of type 2 diabetes mellitus (T2DM), using Qatar as an example. METHODS: A population-level mathematical model was adapted and expanded. The model was stratified by sex, age group, risk factor status, T2DM status, and intervention status, and parameterized by nationally representative data. Modeled interventions were introduced in 2016, reached targeted level by 2031, and then maintained up to 2050. Diverse intervention scenarios were assessed and compared with a counter-factual no intervention baseline scenario. RESULTS: T2DM prevalence increased from 16.7% in 2016 to 24.0% in 2050 in the baseline scenario. By 2050, through halting the rise or reducing obesity prevalence by 10-50%, T2DM prevalence was reduced by 7.8-33.7%, incidence by 8.4-38.9%, and related deaths by 2.1-13.2%. For smoking, through halting the rise or reducing smoking prevalence by 10-50%, T2DM prevalence was reduced by 0.5-2.8%, incidence by 0.5-3.2%, and related deaths by 0.1-0.7%. For physical inactivity, through halting the rise or reducing physical inactivity prevalence by 10-50%, T2DM prevalence was reduced by 0.5-6.9%, incidence by 0.5-7.9%, and related deaths by 0.2-2.8%. Introduction of physical activity with varying intensity at 25% coverage reduced T2DM prevalence by 3.3-9.2%, incidence by 4.2-11.5%, and related deaths by 1.9-5.2%. CONCLUSIONS: Major reductions in T2DM incidence could be accomplished by reducing obesity, while modest reductions could be accomplished by reducing smoking and physical inactivity, or by introducing physical activity as an intervention.

Physical and Mental Health Characteristics of Hospitalized COVID-19 Patients with and without Type 2 Diabetes Mellitus in Turkey.

The aim of this study was to assess the rates of depression, anxiety, and stress and quality of sleeping among COVID-19 patients with and without type 2 diabetes mellitus (T2DM). A case and control design has been employed, involving patients affected by COVID-19 infection (884 with T2DM vs. 884 controls without T2DM) and hospitalized in Istanbul (Turkey) from January to December 2021. A multivariate stepwise regression approach was used to test the associations between sociodemographic, metabolic, serum markers, mental health scores, and T2DM/COVID-19 patients' clinical presentation. A statistically significant difference between T2DM and non-T2DM was found with respect to age, gender, BMI (body mass index), smoking, physical exercise, and physical comorbidities as well as levels of depression, anxiety, stress, and sleeping disorders (0.0003 ≤ all p = 0.025). With regard to serum biomarkers, vitamin D and ferritin were identified as useful parameters of reduction of glycated hemoglobin as well as COVID-19 infection among T2DM patients. This study detected that 25% of patients with COVID-19 and T2DM experienced mental distress, with sleeping disturbances and lifestyle changes markedly impacting their clinical outcome alongside metabolic and serum parameters.

Epidemiological impact of public health interventions against diabetes in Qatar: mathematical modeling analyses.

Aims: To predict the epidemiological impact of specific, and primarily structural public health interventions that address lifestyle, dietary, and commuting behaviors of Qataris as well as subsidies and legislation to reduce type 2 diabetes mellitus (T2DM) burden among Qataris. Methods: A deterministic population-based mathematical model was used to investigate the impact of public health interventions on the epidemiology of T2DM among Qataris aged 20-79 years, which is the age range typically used by the International Diabetes Federation for adults. The study evaluated the impact of interventions up to 2050, a three-decade time horizon, to allow for the long-term effects of different types of interventions to materialize. The impact of each intervention was evaluated by comparing the predicted T2DM incidence and prevalence with the intervention to a counterfactual scenario without intervention. The model was parameterized using representative data and stratified by sex, age, T2DM risk factors, T2DM status, and intervention status. Results: All intervention scenarios had an appreciable impact on reducing T2DM incidence and prevalence. A lifestyle management intervention approach, specifically applied to those who are categorized as obese and ≥35 years old, averted 9.5% of new T2DM cases by 2050. An active commuting intervention approach, specifically increasing cycling and walking, averted 8.5% of new T2DM cases by 2050. Enhancing consumption of healthy diets including fruits and vegetables, specifically a workplace intervention involving dietary modifications and an educational intervention, averted 23.2% of new T2DM cases by 2050. A subsidy and legislative intervention approach, implementing subsidies on fruits and vegetables and taxation on sugar-sweetened beverages, averted 7.4% of new T2DM cases by 2050. A least to most optimistic combination of interventions averted 22.8-46.9% of new T2DM cases by 2050, respectively. Conclusions: Implementing a combination of individual-level and structural public health interventions is critical to prevent T2DM onset and to slow the growing T2DM epidemic in Qatar.

Assessment of Overweight, Obesity, Central Obesity, and Type 2 Diabetes among Adolescents in Qatar: A Cross-Sectional Study.

Qatar has a high obesity and type 2 diabetes mellitus (T2DM) burden. This study aimed to (1) determine the prevalence of overweight, obesity, and T2DM in 13-17-year-old adolescents and (2) evaluate associations with adolescents' lifestyle and breastfeeding history, parental weight, and familial T2DM history. A cross-sectional study (double-stage cluster sampling) was conducted in 2018-2020 using a self-administered parental and adolescent questionnaire. In the results, 23.4% of the adolescents (107/459) were overweight; 19.9% (91/459) were obese; and 37.6% (171/459) had evidence of central obesity. Random blood sugar (RBS) was suggestive of prediabetes (≥140 mg/dL) for 23 (5.0%) adolescents and T2DM (≥200 mg/dL) for none. In multivariable analysis, obesity was significantly associated with no breastfeeding (OR = 3.17, 95% CI: 1.09-9.26) compared to breastfed adolescents for ≥6 months, with first-degree family history of T2DM (OR = 2.27; 95% CI: 1.22-4.27), with maternal obesity (OR = 2.40; 95% CI: 1.01-5.70), and with acanthosis nigricans in adolescents (OR = 19.8; 95% CI: 8.38-46.9). Central obesity was significantly associated with maternal obesity (OR = 2.21; 95% CI: 1.14-4.27) and with acanthosis nigricans (OR = 3.67; 95% CI: 1.88-7.18). Acanthosis nigricans (OR = 4.06; 95% CI: 1.41-11.7) was the only factor associated with elevated RBS. Addressing future disease burden among adults in Qatar will require extensive health and well-being programs, focused on healthy lifestyles and behaviors such as nutritious diets, physical activity, stress management, and self-care.

Type 2 diabetes epidemic and key risk factors in Qatar: a mathematical modeling analysis.

INTRODUCTION: We aimed to characterize and forecast type 2 diabetes mellitus (T2DM) disease burden between 2021 and 2050 in Qatar where 89% of the population comprises expatriates from over 150 countries. RESEARCH DESIGN AND METHODS: An age-structured mathematical model was used to forecast T2DM burden and the impact of key risk factors (obesity, smoking, and physical inactivity). The model was parametrized using data from T2DM natural history studies, Qatar's 2012 STEPwise survey, the Global Health Observatory, and the International Diabetes Federation Diabetes Atlas, among other data sources. RESULTS: Between 2021 and 2050, T2DM prevalence increased from 7.0% to 14.0%, the number of people living with T2DM increased from 170 057 to 596 862, and the annual number of new T2DM cases increased from 25 007 to 45 155 among those 20-79 years of age living in Qatar. Obesity prevalence increased from 8.2% to 12.5%, smoking declined from 28.3% to 26.9%, and physical inactivity increased from 23.1% to 26.8%. The proportion of incident T2DM cases attributed to obesity increased from 21.9% to 29.9%, while the contribution of smoking and physical inactivity decreased from 7.1% to 6.0% and from 7.3% to 7.2%, respectively. The results showed substantial variability across various nationality groups residing in Qatar-for example, in Qataris and Egyptians, the T2DM burden was mainly due to obesity, while in other nationality groups, it appeared to be multifactorial. CONCLUSIONS: T2DM prevalence and incidence in Qatar were forecasted to increase sharply by 2050, highlighting the rapidly growing need of healthcare resources to address the disease burden. T2DM epidemiology varied between nationality groups, stressing the need for prevention and treatment intervention strategies tailored to each nationality.

Does Ramadan fasting have effects on sleep, fatigue and blood pressure among patients with hypertension?

AIM: The aim of this study was to determine the effect of Ramadan fasting on blood pressure (BP), fatigue, sleeping and physical activity among hypertensive patients. SUBJECTS AND METHODS: A cross-sectional study was conducted from April 2019 to July 2019. Of the total 1500 hypertensive patients approached, 1118 (74.5%) gave their consent. Data analysis included sociodemographics, lifestyle habits, anthropometric measurements and clinical biochemistry parameters at baseline, and after 3 months. RESULTS: Out of 1118 subjects, 593(47.6%) were male and 653(52.4%) were female. There were statistically significant differences between males and females regarding age groups in years, educational level, occupational status, income, smoking habits, physical exercise, sports activities and fatigue. There were statistically significant differences for the biochemistry parameters regarding vitamin D, blood glucose, HbA1c level, creatinine, bilirubin, albumin, total cholesterol, triglycerides, HDL-C, LDL-C, uric acid and SBP for both males and females after the holy month of Ramadan as compared to before Ramadan. Also, BMI was significantly lower during the after month of Ramadan as compared to before Ramadan (P < 0.001). Multiple linear regression analysis results revealed that less hours of sleeping (P < 0.001), SBP (mmHg) (P < 0.001), DBP (mmHg) (P < 0.001), family size (P = 0.002), obesity BMI (kg/m2) (P = 0.013), fatigue (P = 0.022) and smoking cigarette (P = 0.029) were identified as statistically significant predictors of hypertensive patients with Ramadan fasting as contributing at higher risk factors. CONCLUSION: This study confirmed that fasting during Ramadan has no effect on the BP, blood glucose, HbA1C level, sleep quality, fatigue and BMI among hypertensive patients.

Assessment of the Role of Serum 25-Hydroxy Vitamin D Level on Coronary Heart Disease Risk With Stratification Among Patients With Type 2 Diabetes Mellitus.

We investigated the role of vitamin D on glycemic regulation and cardiac complications in patients with type 2 diabetes mellitus (T2DM). A total of 1139 patients (49.3% males vs 50.7% females) were included. Information on sociodemographic lifestyle, family history, blood pressure (BP), and coronary heart disease (CHD) complications was collected. Significant differences were found between males and females regarding age-groups (P = .002), body mass index (BMI; P = .008), physical activity (P = .010), sheesha smoking (P = .016), cigarette smoking (P = .002), hypertension (P = .050), metabolic syndrome (P = .026), and CHD (P = .020). There were significant differences between vitamin D deficiency, insufficiency, and sufficiency in relation to age-group (P = .002), income (P = .002), waist circumference (P = .002), hip circumference (P = .028), waist-hip ratio (P = .002), and BMI (P = .002). Further, mean values of hemoglobin, magnesium, creatinine, hemoglobin A1c (HbA1c), total cholesterol, uric acid, and diastolic BP were significantly higher among patients with vitamin D deficiency compared with those with insufficiency and sufficiency. Multiple logistic regression analysis revealed that 25-hydroxy vitamin D, 25(OH)D, HbA1c, waist circumference, uric acid, duration of T2DM, total cholesterol, systolic and diastolic BP, and BMI were strong predictor risk factors for CHD among patients with T2DM. The present study supports that 25(OH)D may have a direct effect on CHD and on its risk factors.

A diabetes risk score for Qatar utilizing a novel mathematical modeling approach to identify individuals at high risk for diabetes.

We developed a diabetes risk score using a novel analytical approach and tested its diagnostic performance to detect individuals at high risk of diabetes, by applying it to the Qatari population. A representative random sample of 5,000 Qataris selected at different time points was simulated using a diabetes mathematical model. Logistic regression was used to derive the score using age, sex, obesity, smoking, and physical inactivity as predictive variables. Performance diagnostics, validity, and potential yields of a diabetes testing program were evaluated. In 2020, the area under the curve (AUC) was 0.79 and sensitivity and specificity were 79.0% and 66.8%, respectively. Positive and negative predictive values (PPV and NPV) were 36.1% and 93.0%, with 42.0% of Qataris being at high diabetes risk. In 2030, projected AUC was 0.78 and sensitivity and specificity were 77.5% and 65.8%. PPV and NPV were 36.8% and 92.0%, with 43.0% of Qataris being at high diabetes risk. In 2050, AUC was 0.76 and sensitivity and specificity were 74.4% and 64.5%. PPV and NPV were 40.4% and 88.7%, with 45.0% of Qataris being at high diabetes risk. This model-based score demonstrated comparable performance to a data-derived score. The derived self-complete risk score provides an effective tool for initial diabetes screening, and for targeted lifestyle counselling and prevention programs.

Prevalence of Helicobacter pylori Infection among Type 2 Diabetes Mellitus.

BACKGROUND: Several conducted studies have reported a higher and more frequent Helicobacter pylori infection rate in type 2 diabetes mellitus (T2DM). The aim of this study was to investigate the prevalence and its association between H. pylori infection and T2DM. MATERIALS AND METHODS: A case and control study was conducted based on 529 T2DM patients and 529 control. H. pylori was assessed by Serum anti-H. pylori immunoglobulin G (IgG) and IgA. Furthermore, patients were investigated for fasting blood glucose (FBG) levels, glycosylated hemoglobin (HbA1c), serum cholesterol, and other biochemistry parameters. RESULTS: The findings showed a positive significantly higher antibody titer for H. pylori infection (IgA > 250) in diabetic patients (50.7%) compared to controls (38.2%) (P < 0.001). Similarly, H. pylori infection for IgG > 300 titer was higher in T2DM patients (73.5%) compared to controls 61.8%) (P < 0.001). Further, the mean values were statistically significant diabetes with H. pylori infection for IgG > 300 titer and IgA > 250 titer, regarding Vitamin D, HbA1C (P < 0.001), FBG, calcium, creatinine, total cholesterol, LHDL, triglyceride levels, uric acid, bilirubin, thyroid-stimulating hormone (TSH), and systolic and diastolic blood pressure. The diabetic patients showed higher prevalence rate of symptoms than controls included: hypertension (14.3%), vomiting (15.5%), muscular symptoms (35.2%), bloating/distension (13.2%), abdominal pain (17%), nausea (9.6%), anemia (17%), kidneys (20.8%), chronic bronchitis (14.7%), gastrointestinal (23.8%), and diarrhea (20.4%). CONCLUSIONS: The current study revealed that H. pylori infections were significantly higher in diabetic patients compared to controls. Furthermore, T2DM patients infected with H. pylori positive reported a higher prevalence rate of symptoms than H. pylori negative.

Sleeping disturbances and predictor risk factors among type 2 diabetic mellitus patients.

Background: Sleep disturbance is a major health issue among people with type 2 diabetes mellitus (T2DM). The Pittsburgh Sleep Quality Index (PSQI) has been the most widely used instrument to measure subjective sleep disturbance. Aim: The aim of this study was to determine the impact of sleeping factor structure of the PSQI as potential predictor for glycosylated hemoglobin A1c (HbA1C) among people living with T2DM in the Turkish community to facilitate its use in the clinical practice and research. Subjects and Methods: This is a cross-sectional study and participants were between the age group of 25 and 65 years old who visited the diabetes and endocrinology department of Mega Medipol University Teaching Hospital, Istanbul. The PSQI was conducted on 871 patients with T2DM. Good sleep quality was defined as PSQI score <5. Multivariate logistic regression analysis was used to estimate the associated risk factors for the T2DM. Results: The current study showed significant differences between male and female patients with respect to their age in years, body mass index (BMI) (kg/m2), physical activity, smoking habit, sheesha smoking, income, family history of metabolic syndrome, coronary heart disease (CHD), and PSQI. The results revealed significant differences between HbA1c ≤7 and females and HbA1c >7 T2DM patients with respect to gender, BMI (kg/m2), CHD, and PSQI. The study demonstrated significant differences between sleeping categories PSQI as good, average, and poor sleeping among T2DM patients with respect to age and gender. Meanwhile, significant differences were reported between sleeping categories among T2DM patients with respect to their: number of sleeping hours, wake-up time, sleeping time, HbA1c, fasting blood glucose, uric acid, and systolic and diastolic blood pressure. This study showed very strong statistically significant correlations between low HbA1c and poor sleep quality in patients with T2DM patients, including subjective sleep quality r = 0.763, sleep latency r = 0.327, sleep duration r = 0.472, habitual sleep efficiency r = 0.575, sleep disturbances r = 0.564, use of sleep medication r = 0.728, and daytime dysfunction r = 0.734. Multivariate stepwise logistic regression analysis revealed that Vitamin D (mmol/L) (P < 0.001), HbA1c (P < 0.001), duration of DM (P < 0.001), uric acid (mmol/L) (P < 0.001), systolic blood pressure mmHg (P = 0.006), diastolic blood pressure mmHg (P = 0.015), and BMI (P = 0.024) were considered at higher risk as the predictors for sleeping quality among T2DM patients. Conclusion: The results suggest a strong positive correlation between PSQI with HbA1c levels, systolic and diastolic blood pressure, age, BMI, among type 2 diabetic patients. This study ascertains that poor sleep quality may be due to elevated level of HbA1c, metabolic syndrome, diabetes, obesity, and/or hypertension.

RésuméObjectif: Le but de cette étude était de déterminer l'impact de la structure du facteur de sommeil du PSQI en tant que prédicteur potentiel de l'HbA1C chez les personnes vivant avec le DT2 dans la communauté turque afin de faciliter son utilisation dans la pratique clinique et la recherche. Méthodes: Il s'agit d'une étude transversale et les participants étaient âgés de 25 à 65 ans et ont visité le service de diabète et d'endocrinologie du Mega Medipol University Teaching Hospital d'Istanbul. Le PSQI a été mené sur 871 patients atteints de DT2. Une bonne qualité de sommeil a été définie comme un score PSQI <5. Une analyse de régression logistique multivariée a été utilisée pour estimer les facteurs de risque associés au T2DM. Résultats: la présente étude a montré des différences significatives entre les hommes et les femmes en ce qui concerne leur âge en années, l'IMC (kg / m2), l'activité physique, le tabagisme, le tabagisme, le revenu, les antécédents familiaux de syndrome métabolique, les maladies coronariennes ( CHD) et PSQI. Les résultats ont révélé des différences significatives entre l'HbA1C≤7 et les femmes et l'HbA1C> 7 patients T2DM en termes de sexe, d'IMC (kg/m2), de maladie coronarienne (CHD) et de PSQI. L'étude a démontré des différences significatives entre les catégories de sommeil PSQI comme bon, moyen et mauvais sommeil chez les patients T2DM en ce qui concerne l'âge et le sexe.. Une analyse de régression logistique par étapes multivariée a révélé que la vitamine D (mmol / L) (P <0,001), l'HbA1c (P <0,001), la durée de la DM (P <0,001), l'acide urique (mmol / L) (P <0,001), la systolique La pression artérielle mmHg (P = 0,006), la pression artérielle diastolique mmHg (P = 0,015) et l'IMC (P = 0,024) étaient considérées comme présentant un risque plus élevé comme prédicteurs de la qualité du sommeil chez les patients atteints de DT2.Conclusion: Les résultats suggèrent une forte corrélation positive entre le PSQI avec les niveaux d'HbA1C, la pression artérielle systolique et diastolique, l'âge, l'IMC, chez les patients diabétiques de type 2. Cette étude établit qu'une mauvaise qualité de sommeil peut être due à un niveau élevé d'HbA1C, au syndrome métabolique, au diabète, à l'obésité et / ou à l'hypertension.

Effect of intensive lifestyle intervention on bodyweight and glycaemia in early type 2 diabetes (DIADEM-I): an open-label, parallel-group, randomised controlled trial.

BACKGROUND: Type 2 diabetes is affecting people at an increasingly younger age, particularly in the Middle East and in north Africa. We aimed to assess whether an intensive lifestyle intervention would lead to significant weight loss and improved glycaemia in young individuals with early diabetes. METHODS: This open-label, parallel-group, randomised controlled trial (DIADEM-I), done in primary care and community settings in Qatar, compared the effects of an intensive lifestyle intervention with usual medical care on weight loss and glycaemic outcomes in individuals with type 2 diabetes, aged 18-50 years, with a short diabetes duration (≤3 years), had a BMI of 27·0 kg/m2 or more, and who were from the Middle East and north Africa region. Participants were randomly allocated (1:1) either to the intensive lifestyle intervention group or the usual medical care control group by a computer-generated sequence and an online randomisation service. The intensive lifestyle intervention comprised a total diet replacement phase, in which participants were given formula low-energy diet meal replacement products followed by gradual food reintroduction combined with physical activity support, and a weight-loss maintenance phase, involving structured lifestyle support. Participants in the control group received usual diabetes care, which was based on clinical guidelines. The primary outcome was weight loss at 12 months after receiving the assigned intervention. Our analysis was based on the intention-to-treat principle. Key secondary outcomes included diabetes control and remission. The trial was registered with the ISRCTN registry, ISRCTN20754766, and ClinicalTrials.gov, NCT03225339. FINDINGS: Between July 16, 2017, and Sept 30, 2018, we enrolled and randomly assigned 158 participants (n=79 in each group) to the study. 147 participants (70 in the intervention group and 77 in the control group) were included in the final intention-to-treat analysis population. Between baseline and 12 months, the mean bodyweight of participants in the intervention group reduced by 11·98 kg (95% CI 9·72 to 14·23) compared with 3·98 kg (2·78 to 5·18) in the control group (adjusted mean difference -6·08 kg [95% CI -8·37 to -3·79], p<0·0001). In the intervention group, 21% of participants achieved more than 15% weight loss between baseline and 12 months compared with 1% of participants in the control group (p<0·0001). Diabetes remission occurred in 61% of participants in the intervention group compared with 12% of those in the control group (odds ratio [OR] 12·03 [95% CI 5·17 to 28·03], p<0·0001). 33% of participants in the intervention group had normoglycaemia compared with 4% of participants in the control group (OR 12·07 [3·43 to 42·45], p<0·0001). Five serious adverse events were reported in four participants in the control group; four admissions to hospital because of unanticipated events (supraventricular tachycardia, abdominal pain, pneumonia, and epididymo-orchitis), and one admission to hospital for an anticipanted event (hyperglycaemia). INTERPRETATION: Our findings show that the intensive lifestyle intervention led to significant weight loss at 12 months, and was associated with diabetes remission in over 60% of participants and normoglycaemia in over 30% of participants. The provision of this lifestyle intervention could allow a large proportion of young individuals with early diabetes to achieve improvements in key cardiometabolic outcomes, with potential long-term benefits for health and wellbeing. FUNDING: Qatar National Research Fund.

Clinical and metabolic characteristics of the Diabetes Intervention Accentuating Diet and Enhancing Metabolism (DIADEM-I) randomised clinical trial cohort.

OBJECTIVES: Diabetes Intervention Accentuating Diet and Enhancing Metabolism-I (DIADEM-I) is the first randomised controlled trial (RCT) in the Middle East and North Africa (MENA) region testing the effectiveness of an intensive lifestyle intervention (ILI) for weight loss and diabetes remission. We report on the recruitment process and baseline characteristics of the DIADEM-I cohort based on origin (Middle East vs North Africa), and waist circumference. DESIGN: DIADEM-I is an open-label randomised, controlled, parallel group RCT recruiting young individuals (18-50 years) with early type 2 diabetes (≤3 years since diagnosis) originating from MENA. Individuals from primary care were randomised to usual medical care or ILI (total dietary replacement phase using meal replacement products, followed by staged food reintroduction and physical activity support). The primary outcome is weight loss at 12 months. Other outcomes are glycaemic control and diabetes remission. SETTING: Primary care, Qatar. PARTICIPANTS: 147 (73% men) randomised within DIADEM-I who were included in the final trial data analysis. OUTCOME MEASURES: Recruitment metrics, and baseline clinical and metabolic characteristics. RESULTS: Of 1498 people prescreened, 267 (18%) were invited for screening and 209 (78%) consented. 173 (83%) were eligible. 15 (7%) withdrew before randomisation and the remaining 158 were randomised. Mean age was 42.1 (SD 5.6) years and mean body mass index was: 36.3 (5.5) kg/m2 (women) and 34.4 (5.4) kg/m2 (men). Mean diabetes duration was 1.8 (1.0) years and mean glycosylated haemoglobin (HbA1c) was 7.0% (1.30) (52.5 mmol/mol (SD 14.3)). Participants originated from 13 countries. Those from North Africa reported greater physical activity and had lower family history of diabetes. 90% of subjects were taking diabetes medications and 31% antihypertensives. Those with greater waist circumference had significantly higher insulin resistance and lower quality of life. CONCLUSION: Recruitment of participants originating from the MENA region into the RCT was successful, and study participation was readily accepted. While DIADEM-I participants originated from 13 countries, there were few baseline differences amongst participants from Middle East versus North Africa, supporting generalisability of RCT results. TRIAL REGISTRATION NUMBER: ISRCTN20754766; NCT03225339.

Vitamin D and Elevated Serum Uric Acid as Novel Predictors and Prognostic Markers for Type 2 Diabetes Mellitus.

AIM: To ascertain the active role of uric acid and vitamin D as potential biomarkers for impaired glucose metabolism among people living with type 2 diabetes mellitus (T2DM) in Turkish community. SUBJECTS AND METHODS: This study was based on 680 patients with T2DM and 680 healthy subjects aged between 25 and 70 years, who visited the diabetes and endocrinology department of Istanbul Mega Medipol University Teaching Hospital, Istanbul, Turkey, during January 2016 to April 2018. The investigated biochemical indices included lipid profiles (low-density lipoprotein [LDL], high-density lipoprotein, total cholesterol, and triglyceride [TG]), uric acid, blood pressure (BP), serum creatinine, glycosylated hemoglobin (HbA1c), thyroid-stimulating hormone (TSH), postprandial glucose, and any related comorbidities. RESULTS: This study reported significant differences between family history duration of patients with T2DM of ≤5 and >5 years when compared to that of control subjects with respect to body mass index (BMI), smoking habit, sheesha smoking, income, family history of metabolic syndrome, hypertension, coronary heart disease, and nephropathy. Similarly, significant differences were found between patients with T2DM (with family history T2DM duration of less than 5 years and more than 5 years in contrast to healthy subjects' level of LDL, TG, fasting blood glucose, HbA1c, systolic BP (SBP), bilirubin, albumin, magnesium, potassium, calcium, number of sleeping hours, and TSH. We uncovered the correlation between serum uric acid level with the clinical biochemical indices related to T2DM: serum calcium (r = 0.336), magnesium (r = 0.272), potassium (r = 0.205), HbA1c (r = 0.638), fasting blood glucose (P = 0.486), bilirubin (r = 0.251), albumin (r = 0.285), LDL (r = 0.322), TG (r = 0.434), diastolic BP (DBP) (r = 0.392), SBP (r = 0.344), BMI (r = 0.482), waist circumference (WC) (r = 0.366), age (r = 0.217), number of sleeping hours (r = 0.275), and TSH (r = 0.445). Multivariate stepwise logistic regression showed that variables, such as serum vitamin D, uric acid, TSH, HbA1c, DBP, WC, BMI, and SBP, were considered at higher risk as significant (P < 0.001) predictors for T2DM. CONCLUSION: The results suggest strong positive correlation between serum uric acid level with BP (SBP and DBP), age, BMI, and WC among patients with T2DM. This study ascertains that an increase in uric acid level may be due to elevated level of HbA1c, metabolic syndrome, diabetes, obesity, and/or hypertension.

The prevalence of restless legs syndrome and comorbid condition among patient with type 2 diabetic mellitus visiting primary healthcare.

AIM: The aim of this study was to determine the prevalence of restless legs syndrome (RLS) and Pittsburgh Sleep Quality Index (PSQI) in patients with type 2 diabetes mellitus (T2DM) attending primary healthcare. SUBJECTS AND METHODS: This is a cross-sectional study and participants were between 25 and 70 years old who visited the diabetes and endocrinology department of Mega Medipol University Teaching Hospital, Istanbul. The diagnosis of RLS was performed according to the International Restless Legs Syndrome Study Group consensus criteria. The RLS and PSQI instruments were conducted on 871 patients with T2DM. Good sleep quality was defined as PSQI score <5. RLS severity was assessed by the Restless Legs Syndrome-6 Scales (RLS-6). The scale development and validation was carried out using Rasch measurement model. RESULTS: The prevalence of RLS was 22.8% including 60.3% of females and 39.7% of males. This study showed significant differences between RLS and no RLS patients with respect to their age (years), body mass index (BMI) (kg/m2), physical activity, smoking habit, sheesha smoking, income, and sleeping quality with PSQI. Also, the analysis presented that statistically significant differences between both RLS and no RLS reported sleep complaints including difficulty falling asleep, inadequate sleep, anytime fatigue, and leg discomfort. There were statistically significant differences between RLS and no RLS patients regarding hypoglycemia, numbness in legs, retinopathy, neuropathy, nephropathy high blood pressure, depression, stroke, anemia, diabetic foot, ulcer, arthritis, respiratory disease, metabolic syndrome, and coronary heart disease. Furthermore, there were statistically significant differences between RLS and no RLS concerning the number of sleeping hours, wake-up time (AM), sleeping time (PM), BMI (kg/m2), HbA1c, vitamin D, calcium, creatinine, fasting blood glucose, low-density lipoprotein, triglyceride, uric acid, and systolic and diastolic blood pressure (mmHg). CONCLUSION: This study confirms positive relation and high prevalence of RLS among patients with T2DM visiting primary healthcare. The results suggest that physical activity is associated with a better perception of functional capacity and pain in diabetic patients with RLS, and thus a more active lifestyle should be encouraged.

Lack of association between the Pro12Ala polymorphism of the PPAR-gamma 2 gene and type 2 diabetes mellitus in the Qatari consanguineous population.

Peroxisome proliferators-activated receptor gamma (PPAR gamma) is a nuclear hormone receptor that serves as a master regulator for adipocytes-specific genes contributing to adipocytes differentiation, insulin sensitivity and lipid metabolism. The substitution of proline to alanine at codon 12 of the PPAR gamma 2 gene (Pro12Ala polymorphism) is most widely studied, and the associations with diabetes, obesity, and other clinical parameters have been reported and discussed in several ethnic groups. Among native Qatar ethnicity, however, there is no report about this polymorphism. The aim of this study was to estimate the allele frequency of the Pro12Ala polymorphism of PPAR gamma 2 gene among Qatari population and investigate the association between this polymorphism and obesity or type 2 diabetes. This is a matched case-control study. It was carried out among diabetic patients and healthy subjects at the Primary Healthcare Clinics, and the survey was conducted from February 2003 to March 2006 in Qatari male and female nationals aged 35 to 60 years. The study was based on matched age, sex, and ethnicity of 400 cases (with diabetes) and 450 controls (without diabetes). Face-to-face interviews were based on a questionnaire that included variables such as age, sex, sociodemographic status, body mass index (BMI), and obesity. Their health status was assessed by medical conditions, family history, and blood pressure measurements. The allele frequency of Pro12Ala polymorphism in PPAR gamma 2 gene among Qataris is lower than that in many Caucasian ethnic groups. No association is seen between the Pro12Ala and type 2 Diabetes (0.055 vs 0.059, OR = 1.1311, P = 0.669). Nearly half of the diabetic type 2 patients (48.5%) were obese (BMI > 30) compared to nondiabetic subjects (29.8%) (P < 0.001). In this study, no association is seen between the Pro12Ala polymorphism in PPAR gamma 2 gene and the type 2 diabetes in Qatar.

Prevalence of erectile dysfunction in male stroke patients, and associated co-morbidities and risk factors.

BACKGROUND: Sexual problems have been a common finding in chronically ill and physically disabled patients such as those with cerebrovascular accidents. Previous studies have supported the association between stroke and erectile dysfunction (ED). OBJECTIVES: The aim of this study was to investigate the prevalence of ED and its severity in male stroke patients in Qatar and to assess the co-morbidities and risk factors associated with ED. DESIGN: This was a cross-sectional study. SETTING: The study was conducted from January to December 2006 at the Hamad General Hospital, Hamad Medical Corporation (HMC). SUBJECTS: Eight hundred Qatari and non-Qatari patients 35-75 years of age were invited to participate in this study; 605 patients gave their consent, which was a response rate of 75.6%. METHODS: Face-to-face interviews were based on a questionnaire that included socio-demographic factors. The classification of the type of stroke was made according to the criteria of stroke by the World Health Organization (WHO). All patients completed a second questionnaire addressing their general medical history, type of treatment and co-morbidity with other diseases or risk factors. Sexual function was evaluated with the International Index of Erectile Function (IIEF). RESULTS: The mean age of subjects was 56.1+/-9.8 years. Approximately 48.3% of the studied population reported some degree of erectile dysfunction. Of the stroke patients with ED, 36% had severe ED, 32.9% had moderate ED and 31.2% had mild ED. More than half of the stroke patients (59.6%) with ED were in the age group 60-75 years. The prevalence of ED increased with increasing age. The co-morbidities and risk factors were significantly more prominent in ED patients than in those without ED for hypercholesterolemia (P<0.001), diabetes (P=0.002), and hypertension (P=0.031). Medication taken for these diseases also had a significant association with ED. CONCLUSIONS: Our study findings revealed a greater prevalence of ED in stroke patients in the population of Qatar. The most important co-morbid factors for ED in stroke patients were diabetes, hypertension and hypercholesterolemia, and the risk factors were smoking and obesity.

Low Vitamin D Deficiency Associated With Thyroid Disease Among Type 2 Diabetic Mellitus Patients.

BACKGROUND: The aim of this study was to investigate the relationship between vitamin D deficiency and thyroid diseases among type 2 diabetes mellitus (T2DM) patients. METHODS: This was a cohort case and control study, 546 T2DM patients and 546 control study participants were enrolled, aged between 25 and 65 years. The subjects were also investigated for fasting blood glucose levels (FBG), post prandial glucose (PPG,) glycosylated hemoglobin (HbA1c), thyroid stimulating hormone (TSH), T3, T4, and presence of other comorbid conditions. Thyroid fine needle aspiration biopsy was suggested to patients whose thyroid nodules were greater than 1.00 cm. RESULTS: There were significant differences between T2DM patients and control subjects regarding BMI (kg/m2), physical activity, cigarette smoking, sheesha smoking, family history of diabetes, hypertension and family history of thyroid nodules. The clinical biochemistry values among T2DM for vitamin D, calcium, magnesium, potassium, phosphorous, fasting blood glucose, cholesterol, HbA1c, HLDL, LDL, triglyceride, systolic blood pressure (SBP) and diastolic blood pressure (DBP) were lower than control subjects, but higher in creatinine, albumin, TSH, T3, and T4 which appeared statistically significant differences (P < 0.001). Also, the study revealed statistically significant differences between subjects vitamin D deficiency and with thyroid nodules for calcium, magnesium, phosphorous, HbA1c, high density lipoprotein (HDL), SBP and DBP, TSH, T3, and T4 among T2DM patients and control subjects (P < 0.001). Multivariable stepwise logistic regression analysis showed that TSH, HbA1c, vitamin D deficiency, SBP (mm Hg), BMI, family history of DM, serum calcium level and family history of thyroid were considered at higher risk as predictors of thyroid among T2DM patients. CONCLUSIONS: This study suggests that obesity, HbA1c, the environment, and genetic susceptibility among T2DM, may increase the risk of thyroid disease and cancer. Although evidence has shown that thyroid cancer incidence has been rising more rapidly over time than the occurrence of cancers of other sites, due to an increase of obesity, diabetes and lack of physical activity, this study lacks of direct evidence supporting this conclusion.

Effect of ramadan fasting on glycemic control and other essential variables in diabetic patients.

Background: Fasting during the holy month of Ramadan is a religious obligation for all Muslims who represent 1.8 billion of the world population (24%). This study explores the effect of Ramadan fasting on the blood glucose, glycated hemoglobin (HbA1c), lipid profile, sleeping quality, and essential lifestyle parameters and also explores the safety of fasting for a whole month among diabetic patients. Aim: The aim of the present study was to assess the impact of Ramadan fasting on the blood glucose, HbA1c, lipid profile, sleeping quality, and lifestyle parameters among patients with type 2 diabetes mellitus (T2DM) in Turkey. Subjects and Methods: A total of 1780 diabetic patients were approached, and 1246 (70%) participated in this cross-sectional study carried out during the period from May 27, 2017, to June 24, 2017. Data analysis comprised sociodemographic features, lifestyle habits, blood pressure measurements, serum lipid profiles, serum calcium, Vitamin D 25-hydroxy, uric acid, and HbA1c at before 4 weeks and after 12 weeks from Ramadan. Results: Out of 1246 patients, 593 (47.6%) were male and 653 (52.4%) were female. The mean ± standard deviation age of the patients was 50.39 ± 15.3 years. Males were significantly older than females (51.53 ± 12.56 vs. 49.26 ± 14.4; P = 0.003, respectively). Significant differences were found in Vitamin D, blood glucose, HbA1c level, creatinine, bilirubin, albumin, total cholesterol, triglycerides, high-density lipoprotein-cholesterol (female), low-density lipoprotein-cholesterol (male), uric acid, and systolic and diastolic blood pressure after and before the holy month of Ramadan (P < 0.05 for each). HbA1c (P < 0.001), physical activity (P < 0.001), hours of sleeping (P < 0.001), systolic blood pressure (BP) (mmHg) (P = 0.007), BMI (P = 0.016), diastolic BP (mmHg) (P = 0.018), family history (P = 0.021), and smoking (P = 0.045) were identified as significantly associated with Ramadan fasting as contributing factors. Conclusion: In one of the largest studies of its kind, we show that Ramadan fasting has positive effects on T2DM patients as it reduces their blood pressure, blood glucose, HbA1C, and BMI. Furthermore, there are improvements in the duration of sleep and physical activity, the role of Ramadan fasting in diabetes therapy has been confirmed.

RésuméContexte: Le jeûne pendant le mois sacré du Ramadan est une obligation religieuse pour tous les musulmans qui représentent 1,8 milliard de personnes dans le monde population (24%). Cette étude explore l'effet du jeûne du Ramadan sur la glycémie, l'hémoglobine glyquée (HbA1c), le profil lipidique, qualité de sommeil, et les paramètres essentiels de style de vie et explore également la sécurité du jeûne pour un mois entier chez les patients diabétiques. But: Le but de la présente étude était d'évaluer l'impact du jeûne du Ramadan sur la glycémie, l'HbA1c, le profil lipidique, le sommeil paramètres de qualité et de style de vie chez les patients atteints de diabète sucré de type 2 (DT2) en Turquie. Sujets et méthodes: Un total de 1780 patients diabétiques ont été approchés, et 1246 (70%) ont participé à cette étude transversale réalisée au cours de la période Du 27 mai 2017 au 24 juin 2017. L'analyse des données comprenait des caractéristiques sociodémographiques, des habitudes de vie, des mesures de la tension artérielle, les profils sériques des lipides, le calcium sérique, la vitamine D 25-hydroxy, l'acide urique et l'HbA1c avant 4 semaines et après 12 semaines de Ramadan. Résultats: Sur 1246 patients, 593 (47,6%) étaient des hommes et 653 (52,4%) étaient des femmes. L'âge moyen ± écart-type des patients était de 50,39 ± 15,3 ans. Les mâles étaient significativement plus âgés que les femelles (51,53 ± 12,56 contre 49,26 ± 14,4, P = 0,003, respectivement). Important différences ont été trouvées dans la vitamine D, la glycémie, le taux d'HbA1c, la créatinine, la bilirubine, l'albumine, le cholestérol total, les triglycérides, la densité lipoprotéine-cholestérol (femelle), lipoprotéine-cholestérol de basse densité (mâle), acide urique et tension artérielle systolique et diastolique après et avant le mois sacré du Ramadan (P <0,05 pour chacun). HbA1c (P < 0,001), activité physique (P <0,001), heures de sommeil (P <0,001), tension artérielle systolique (TA) (mmHg) (P = 0,007), IMC (P = 0,016), TA diastolique (mmHg) (P = 0,018), antécédents familiaux (P = 0,021), et le tabagisme (P = 0,045) a été identifié comme étant significativement associé au jeûne du Ramadan en tant que facteurs contributifs. Conclusion: Dans l'un des les plus grandes études de son genre, nous montrons que le jeûne du Ramadan a des effets positifs sur les patients atteints de DT2 car il réduit leur tension artérielle, le sang glucose, HbA1C et BMI. En outre, il y a des améliorations dans la durée du sommeil et de l'activité physique, le rôle du jeûne du Ramadan dans la thérapie du diabète a été confi rmée. Mots-clés: Indice de masse corporelle, diabète sucré, hémoglobine glyquée, jeûne du Ramadan, qualité de sommeil.

Diabetes Intervention Accentuating Diet and Enhancing Metabolism (DIADEM-I): a randomised controlled trial to examine the impact of an intensive lifestyle intervention consisting of a low-energy diet and physical activity on body weight and metabolism in early type 2 diabetes mellitus: study protocol for a randomized controlled trial.

BACKGROUND: Type 2 diabetes mellitus (T2DM) and obesity are syndemic and will have a significant impact on affected individuals and healthcare services worldwide. Evidence shows that T2DM remission can be achieved with significant weight loss in those who are younger with early diabetes and requiring fewer medications for glycaemic control. DIADEM-I aims to examine the impact of an intensive lifestyle intervention (ILI) using a low-energy diet (LED) meal replacement approach combined with physical activity in younger individuals with early T2DM. METHODS: The planned study is an ongoing, non-blinded, pragmatic, randomised controlled, parallel-group trial examining the impact of an LED-based ILI on body weight and diabetes remission in younger (18-50 years) T2DM individuals with early diabetes (≤ 3-year duration). The ILI will be compared to usual medical care (UMC). The primary outcome will be weight loss at 12 months. Other key outcomes of interest include diabetes remission, glycaemic control, diabetes complications, cardiovascular health, physical activity, mental health, and quality of life. It is planned for the study to include 138 subjects for assessment of the primary outcome. Safety will be assessed throughout. DISCUSSION: If DIADEM-I demonstrates a clinically significant effect for younger individuals with early T2DM, it will inform clinical guidelines and services of the future for management of T2DM. TRIAL REGISTRATION: ISRCTN: ISRCTN20754766 (date assigned: 7 June 2017); ClinicalTrials.gov, ID: NCT03225339 Registered on 26 June 2017.

Prevalence of erectile dysfunction among hypertensive and nonhypertensive Qatari men.

OBJECTIVES: The aim of this study was to investigate the prevalence of erectile dysfunction, its severity, and other sexual function domains in hypertensive and normotensive Qatari's men and to estimate the association between hypertension and predictors of erectile dysfunction. MATERIAL AND METHODS: A matched case-control study was conducted at the primary health care clinics during a period from May to October 2006. Four hundred twenty-five hypertensive patients and 425 age-matched normotensive attendants of primary health care clinics, aged 30-75 years, were approached for the study. Of them, 296 hypertensive participants (74%) and 298 normotensive men (70.1%) gave their consent to participate in it. The mean age of the hypertensive participants was 54.8+/-11.5 years as compared to nonhypertensive participants with a mean age of 54.5+/-12.1 years. Face-to-face interviews were based on a questionnaire that included variables on age, sociodemographic status, educational level, occupation, cigarette smoking, and blood pressure. Hypertension was defined as mild for systolic blood pressure (SBP) 120-139 mmHg and diastolic blood pressure (DBP) 80-89 mmHg; moderate for SBP 140-159 mmHg and DBP 90-99 mmHg; and severe for SBP >160 mmHg and DBP >100 mmHg. All patients completed a detailed questionnaire addressing their general medical history, with special emphasis on hypertension (i.e., duration of hypertension, type of treatment, and presence of any complications). Sexual function was evaluated with the International Index of Erectile Function (IIEF). RESULTS: Of the 296 hypertensive patients, 196 participants reported erectile dysfunction (66.2%), while among the 298 nonhypertensive participants, only 71 had erectile dysfunction (23.8%). Of the hypertensive participants studied, 25% had severe, 29.1% had moderate, and 12.1% had mild erectile dysfunction. The percentages of various sexual activity domains were highly significant and at higher risk among hypertensive patients than normotensive men (P<0.001). Frequency and severity of erectile dysfunction increased with advancing age. CONCLUSIONS: Our results have shown that the prevalence of erectile dysfunction was significantly higher in Qatari hypertensive men than in normotensive men. Age, level of education, diabetes mellitus, occupation, and duration of hypertension were considered statistically significant predictors of erectile dysfunction. Erectile dysfunction was more common in hypertensive individuals receiving antihypertensive treatment.