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.

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.

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.

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.

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.

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.

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.

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.

Interaction between diabetes mellitus and hypertension on risk of hearing loss in highly endogamous population.

AIM: The aim of this study was to determine the prevalence of hearing loss and its association with type 2 diabetes mellitus (T2DM) in a highly endogamous population. DESIGN: This is a cross-sectional study. SETTING: The present study is carried out in Ear Nose Throat (ENT) and Endocrinology outpatient clinics of the Hamad General and Rumeilah Hospitals, Hamad Medical Corporation. SUBJECTS: All subjects aged between 20 and 59 years who visited the Endocrinology and ENT outpatient clinics of the Hamad Medical Corporation with hearing difficulty were included in this study during the period from January 2013 to July 2014. METHOD: During the study period, prevalence, hearing, audiological test, family history and medical problems associated with hearing impairment in middle aged patients were recorded. Two audiometers Grason Stadler GSI 61 and Madsen Orbiter 922 were used to evaluate the hearing loss. RESULT: Majority of the hearing loss observed at the age above 45 years old, (44.8% vs 51.7%, p=0.05). The prevalence of hearing impairment was higher in Qataris than in non-Qataris (59.7% vs 46.6%, p<0.001). The consanguineous marriages were observed higher in Hearing loss (32.1%) than in normal hearing (21.8%) (p=0.028). The mean of diabetes onset duration (7.8±4.12years), sleeping disorder (5.81±1.29h), obese subjects (38% vs 27.4%); family history of diabetes (30.6 vs 23.1%) were higher among hearing impairment. The associated risk factors were significantly higher in T2DM with hearing loss, hypoglycemia (32.8% vs 27.4%), retinopathy (313% vs 18.5%), Nephropathy (17.9% vs 9.8%), Neuropathy (17.9% vs 10.2%), macro-vascular disease (11.9% vs 6.2%), diabetic foot ulcer (20.9% vs 12.6%), Tinnitus (68.7% vs 51.3%), and Vertigo (25.4% vs 16.9%) than in normal hearing diabetes. There was a statistically significant differences between hearing impairment and normal hearing among T2DM regarding hearing assessment frequency (p=0.041). There were statistically significant differences between hearing impairment versus normal hearing for vitamin D [18.91±7.65ng/mL vs 22.85±9.00ng/mL; p<0.001], calcium [1.80±0.12ng/mL vs 1.96±0.14mmol/L; p<0.001], magnesium [0.80±0.09mmol/L vs 0.8±0.14mmol/L; p<0.001], phosphorous [1.42±0.30mmol/L vs 1.56±0.26mmol/L; p<0.001], ceatinine [1.42±0.30mmol/L vs 1.56±0.26mmol/L; p<0.001], cholesterol [4.92±1.08mmol/L vs 4.40±1.01mmol/L; p=0.035], LDL [1.92±0.88mmol/L vs 2.09±0.92mmol/L; p=0.024], albumin [43.1±6.10mmol/L vs 39.8±7.93mmol/L; p=0.010], systolic blood pressure [135.8±16.6Hg vs 130.2±12.5Hg; p=0.017] and, diastolic blood pressure [85.1±9.2mmHg vs 83.0±7.9mmHg; p=0.012]. There were highly statistically significant differences between hearing impairment versus normal for both side right and left ear frequency in Db unit (p<0.001). The multivariate stepwise logistic regression analysis revealed that head ache (p<0.001), family history of DM (p<0.001), sleep disturbance (p<0.001), high blood pressure (p=0.006), consanguinity (p=0.010), nationality (p=0.014), age in years (p=0.025), and sheesha smokers (p=0.045) were considered at higher risk as a predictors of hearing loss among diabetic patients. CONCLUSION: The current study results confirm previous reports that adults with DM and hypertension associated showed greater hearing impairment in highly endogamous population… Diabetic patients with hearing loss were likely to have high blood glucose and other risk factors like hypertension, retinopathy, nephropathy and neuropathy.

The role of vitamin D, obesity and physical exercise in regulation of glycemia in Type 2 Diabetes Mellitus patients.

AIM: The aims of this study were to determine the role of vitamin D, obesity and physical exercise in the regulation of glycemia in Type 2 Diabetes Mellitus patients in a highly consanguineous population. DESIGN: Case and control study. SETTING: The survey was carried out at the Hamad General Hospital and Primary Health Care (PHC) centers in the State of Qatar. SUBJECTS: The study was conducted from November 2012 to June 2014 among subjects above 30 years of age. Of the 2224 registered with diagnosed diabetes and free diseases attending Hamad General Hospital and PHC centers agreed and gave their consent to study. METHODS: Questionnaire included socio-demographic variables, body mass index (BMI), consanguinity, lifestyle habits, family history of diabetes, blood pressure and development of diabetes complications such as retinopathy, nephropathy, and neuropathy were collected at regular intervals throughout the follow-up. Univariate and multivariate statistical analysis were performed. RESULTS: There were statistically significant difference between patients with diabetic and control in terms of ethnicity (p=0.012), level of education (p=0.002), occupation (p<0.001), monthly income (p<0.001), BMI(p=0.024), sport activity (p=0.018), cigarette smoking (p<0.001), consanguinity (p=0.029) and family history of Diabetes Mellitus (p<0.001) and co-morbidity hypertension (p=0.041). Further, the biochemistry values in the studied subjects with T2DM compared to healthy controls and the study revealed that serum Vitamin D, BMI, fasting glucose level, calcium, HbA1c, total cholesterol HDL, LDL, bilirubin, triglycerides, uric acid and blood pressure systolic and diastolic were higher in T2DM compared to their counterparts. Multivariate logistic regression showed that vitamin D deficiency ng/mL, Family History of T2DM, BMI (kg/m2) hypertension, consanguinity, income, mother occupation, ethnicity, educational level and Lack of physical exercise variables were significant predictors of diabetes. In the group of Diabetes Mellitus Type 2 patients, 39.3% as opposed to 51.2% in the control group had vitamin D deficiency, 25(OH) D3 levels≤10ng/ml (p<0.001). In the group of Diabetes Mellitus Type 2 patients, 34.6% as opposed to 37.9% in the control group had vitamin D insufficiency, 25(OH)D3 levels <20ng/ml (p < 0.001). In the group of Diabetes Mellitus Type 2 patients, 22.8% as opposed to 14.2% in the control group had vitamin D sufficiency, 25(OH)D3 levels >30 10ng/ml (p < 0.001). CONCLUSION: Vitamin D, family history of diabetes, consanguinity marriages' and hereditary gene-environment interactions and physical exercise may also contribute to the current diabetes epidemic in Qatari's Arab populations.

A study of diabetes complications in an endogamous population: an emerging public health burden.

AIM: The aims of this study were to determine the prevalence of diabetic complications namely neuropathy, nephropathy, and retinopathy among Qatari's DM patients; and to find associations between these complications and socio-demographic and clinical characteristics in a highly consanguineous population. DESIGN: It is an observational cohort study. SETTING: The survey was carried out at the Hamad General Hospital and Primary Health Care (PHC) centers in the State of Qatar. SUBJECTS: The study was conducted from May 2011 to January 2013 among Qatari nationals above 20 years of age. Of the 2346 registered with diagnosed diabetes attending Hamad General Hospital and PHC centers, 1633 (69.3%) agreed and gave their consent to take part in this study. METHODS: Questionnaire included socio-demographic variables, body mass index (BMI), consanguinity, lifestyle habits, family history of diabetes, blood pressure and development of diabetes complications such as retinopathy, nephropathy, and neuropathy were collected at regular intervals throughout the follow-up. Univariate and multivariate statistical analysis were performed. RESULTS: Out of 1633 diabetic patients, 842 (51.6%) were males. The prevalence of diabetic nephropathy 12.4% and retinopathy was 12.5% followed by neuropathy 9.5% among diabetic population. The proportion of diabetic neuropathy and nephropathy were significantly higher among diabetic patients with age 60 years and above as compared to younger age groups (p=0.010). Nephropathy was significantly higher among male diabetic (p=0.014) and smokers (p<0.001) while diabetic neuropathy was more common among diabetic hypertensive patients (p=0.028). Multivariate logistic regression showed that Age (p=0.025), being male (p=0.045), and having high blood pressure (p=0.006) were significant predictors of diabetic neuropathy. For diabetic retinopathy, family history of DM (p<0.001), consanguinity (p=0.010), having high blood pressure (p=0.042) and physical activity (p<0.001) were significant predictors of diabetic retinopathy. Meanwhile, for diabetic nephropathy, age (p<0.001), smoking (p=0.045), physical activity (p<0.001) hypertension (p<0.001) and gender (p=0.012) were the significant predictors. CONCLUSION: Diabetes exerts a significant burden in Qatar, and this is expected to increase. Many diabetic patients face significant challenges accessing diagnosis and treatment, which contributes to the high morbidity and mortality and prevalence of complications observed. The significant interactions between diabetes and associated complications highlight the need and opportunity for health planners to develop integrated responses to communicable and non-communicable diseases.

A two fold risk of metabolic syndrome in a sample of patients with schizophrenia: do consanguinity and family history increase risk?

BACKGROUND: Patients with schizophrenia are at greater risk for metabolic syndrome (MetS) and other cardiovascular risk factors. OBJECTIVE: The objective of the study was to examine the prevalence of metabolic syndrome (MetS) and its criteria among patients with schizophrenia (Sz) according to the revised criteria of NCEP ATP III and assess which component contributed to the increased risk of the MetS in schizophrenia patients. DESIGN: This was a matched case-control study. SETTING: Outpatient clinics of the Psychiatry department and Primary Health Care (PHC) Centers of the Supreme Council of Health, State of Qatar. SUBJECTS AND METHODS: The study was carried out among patients with schizophrenia (SZ) and healthy subjects above 20 years old. The study based on matched by age and gender of 233 cases and 466 controls. The survey was conducted from June 2010 to May 2011. Face to face interviews were conducted using a structured questionnaire followed by laboratory tests. Metabolic syndrome was defined using the National Cholesterol Education Program - Third Adult Treatment Panel (ATP III). RESULTS: The prevalence of metabolic syndrome among schizophrenic patients (36.5%) were significantly higher than healthy subjects (18.7%) (p<0.001). The prevalence of MetS in schizophrenic subjects was reported to be two times higher than in the general population. The MetS components were higher among schizophrenic patients than healthy subjects. Among the components of MetS, central obesity (63.9%) was the most common criteria among patients compared to healthy subjects (45.7%) (p<0.001). Schizophrenic patients (27%) were significantly obese than the healthy subjects (13.1%). Female schizophrenia patients were more likely to have three or more metabolic abnormalities compared to men. CONCLUSION: The study indicated that metabolic syndrome was highly prevalent in patients with schizophrenia. The female gender was significantly associated with a higher prevalence of metabolic syndrome. The identification and clinical management of this high risk group is of great importance.

Comparison of Cost-Effectiveness, Safety, and Efficacy of Rosuvastatin Versus Atorvastatin, Pravastatin, and Simvastatin in Dyslipidemic Diabetic Patients With or Without Metabolic Syndrome.

AIM: The aim of the current study was to determine the efficacy of the 4 most commonly prescribed statins (rosuvastatin, atorvastatin, pravastatin, and simvastatin) for managing dyslipidemia among diabetic patients with and without metabolic syndrome (MetS). MATERIAL AND METHODS: This was a cohort observational population-based study conducted at Hamad Medical Hospital and Primary Health Care Centre. The participants were 1542 consecutive diabetes patients who were diagnosed with dyslipidemia and were prescribed any of the indicated statins. Sociodemographic and clinical characteristics were taken from medical records, and lipid profile at baseline and 2 years after the initiation of statin therapy were retrieved from electronic medical records database (EMR-viewer). Reduction in different lipid profile after 2 years of therapy was compared among different types of statins between patients with and without MetS. RESULTS: Out of total 1542 subjects, 562(36.4%) were diagnosed with MetS using the criteria of International Diabetes Federation. Among those with MetS, 125 were prescribed with atorvastatin, 162 pravastatin, 177 rosuvastatin, and 98 simvastatin. Among those without MetS, 365 used atorvastatin, 172 pravastatin, 345 rosuvastatin, and 98 simvastatin therapies. Among patients with MetS, rosuvastatin therapy resulted in significantly higher low-density lipoprotein cholesterol and total cholesterol reduction (23%, P = .006; and 20.3%, P = .015, respectively) as compared with other statins. Similarly, significantly higher percentage of patients receiving rosuvastatin therapy were successful in achieving the target of total cholesterol <4 mmol/L and triglycerides <1.7 mmol/L after 2 years (38.4%, P = .012; and 67.2%, P = .010, respectively) as compared with other therapies. In contrast, among patients without MetS, rosuvastatin therapy resulted in highest percentage drop in total cholesterol (20.1%; P = .016) than other statin therapies. CONCLUSION: The present study confirmed that rosuvastatin therapy in commonly prescribed doses is the most effective statin for low-density lipoprotein cholesterol goal achievement and for improving the lipid profile in hypercholesterolemic diabetic patients with and without MetS.

Comparison of efficacy, safety, and cost-effectiveness of various statins in dyslipidemic diabetic patients.

BACKGROUND AND AIM: To determine efficacy safety and the cost effectiveness, of the four most commonly prescribed statins (rosuvastatin, atorvastatin, pravastatin, and simvastatin) in the treatment of dyslipidemia among diabetic patients. MATERIALS AND METHODS: This is a cohort, observational, population-based study conducted at diabetic clinics of the Hamad Medical Hospital and Primary Health Care Centers (PHCC) over a period from January 2007 to September 2012. The study included 1,542 consecutive diabetes patients above 18 years of age diagnosed with dyslipidemia and prescribed any of the indicated statins. Laboratory investigations were taken from the Electronic Medical Records Database (EMR-viewer). The sociodemographic, height, weight, and physical activities were collected from Patient's Medical Records. Information about statin was extracted from the pharmacy drug database. The effective reductions in total cholesterol using rosuvastatin with atorvastatin, simvastatin, and pravastatin in achieving cholesterol goals and improving plasma lipids in dyslipidemic diabetic patients were measured. Serum lipid levels measured a 1 week before the treatment and at the end 2(nd) year. RESULTS: Rosuvastatin (10 mg) was the most effective in reducing low-density lipoprotein cholesterol (LDL-C; 28.59%), followed by simvastatin 20 mg (16.7%), atorvastatin 20 mg (15.9%), and pravastatin 20 mg (11.59.3%). All statins were safe with respect to muscular and hepatic functions. Atorvastatin was the safest statin as it resulted in the least number of patients with microalbuminuria (10.92%) as compared to other statins. Treatment with rosuvastatin 10 mg was more effective in allowing patients to reach European and Adult Treatment Plan (ATP) III LDL-C goals as compared to other statins (P < 0.0001) and produced greater reductions in LDL-C, total cholesterol, and non-HDL-C, produced similar or greater reductions in triglycerides (TGs) and increased in HDL-C. CONCLUSION: Rosuvastatin 10 mg was the most effective statin in reducing serum lipids and total cholesterol in dyslipidemic diabetic patients.

Obesity index that better predict metabolic syndrome: body mass index, waist circumference, waist hip ratio, or waist height ratio.

AIM: The aim was to compare body mass index (BMI), waist circumference (WC), waist hip ratio (WHR), and waist height ratio (WHtR) to identify the best predictor of metabolic syndrome (MetS) among Qatari adult population. METHODS: A cross-sectional survey from April 2011 to December 2012. Data was collected from 1552 participants followed by blood sampling. MetS was defined according to Third Adult Treatment Panel (ATPIII) and International Diabetes Federation (IDF). Receiver operating characteristics (ROC) curve analysis was performed. RESULTS: Among men, WC followed by WHR and WHtR yielded the highest area under the curve (AUC) (0.78; 95% CI 0.74-0.82 and 0.75; 95% CI 0.71-0.79, resp.). Among women, WC followed by WHtR yielded the highest AUC (0.81; 95% CI 0.78-0.85 & 0.79; 95% CI 0.76-0.83, resp.). Among men, WC at a cut-off 99.5 cm resulted in the highest Youden index with sensitivity 81.6% and 63.9% specificity. Among women, WC at a cut-off 91 cm resulted in the highest Youden index with the corresponding sensitivity and specificity of 86.5% and 64.7%, respectively. BMI had the lowest sensitivity and specificity in both genders. CONCLUSION: WC at cut-off 99.5 cm in men and 91 cm in women was the best predictor of MetS in Qatar.

Gender and age-related differences in patients with the metabolic syndrome in a highly endogamous population.

The objective of the study was to examine the differences in gender and age prevalences of metabolic syndrome (MetS) among adult Qatari population according to the revised criteria of NCEP ATP III and IDF, assess which component contributed to the higher prevalence of the MetS and identify the characteristics of the subjects with MetS. The study was designed as a cross-sectional study. The survey was carried out in urban and semi-urban primary health care centers. The survey was conducted in the period from January 2007 to July 2008 among Qatari nationals above 20 years of age. Of the 1536 subjects who were approached to participate in the study, 1222 (79.6%) gave their consent. Face to face interviews were conducted using a structured questionnaire followed by laboratory tests. MetS was defined using the National Cholesterol Education Program - Third Adult Treatment Panel (ATP III) as well as the International Diabetes Federation (IDF). The overall prevalence of MetS in studied subjects was 26.7% and 33.9% according to ATPIII and IDF (p<0.001) criteria respectively. The prevalence of MetS by both definitions peaked in the 30-39 years age group among males, and the 40-49 years age group among females. The greatest number of males with MetS were university educated; while the greatest number of females with MetS were either illiterate or had a primary school education. The prevalence of MetS was higher among females. Among the components of MetS, the prevalence of central obesity was significantly higher in studied subjects. The overall prevalence of MetS and its components according to IDF criteria was higher in studied subjects than the estimates given by the ATPIII criteria. Overall, the prevalence of the metabolic syndrome in the State of Qatar is about 10-15% higher than in most developed countries, with generally higher prevalence rates for women. Preventive strategies will require identifying socio-demographic factors and addressing modifiable risk behaviours, including lack of physical activity, and dietary intake.

Is male fertility associated with type 2 diabetes mellitus?

OBJECTIVE: The aim of this study was to determine the prevalence of infertility in Qatari men with Diabetes Mellitus (T2DM) and to examine the association between T2DM and infertility. DESIGN: This is a cross-sectional study. SETTING: The survey was conducted at Primary Health Care Centers during a period from January 2008 to June 2008. SUBJECTS: The selected subjects for the study were Qatari men aged 25-60 years who were married for more than 1 year. A total of 1,165 men were approached and only 857 men gave consent, giving a response rate of 73.6%. METHODS: Face-to-face interviews were based on a questionnaire that included variables on socio-demographic characteristics, type of infertility in men, life style habits, type of environmental exposures, and common diseases found among infertile men. All studied men were recruited using cluster random sampling at 13 randomly selected primary health care centers at the Hamad Medical Corporation. RESULTS: The prevalence of infertility in Qatari T2DM men was 35.1%. The prevalence of primary infertility (16%) and secondary infertility (19.1%) was significantly higher in diabetic men (P = 0.003) as compared to non-diabetic men. Also, secondary infertility was higher than primary infertility in our studied Qatari diabetic men. Half of the diabetic infertile men were overweight (50.6%) and 29.1% of them were obese. The smoking habit was more common in diabetic infertile men (45.6%) than in diabetic fertile men (33.6%). Multivariate logistic regression analysis confirmed that age (P < 0.001), smoking habits (ex-smokers, P = 0.003 and current smokers, P = 0.001) and obesity (P < 0.001) were the significant major contributors for infertility in diabetic men. Obesity was the leading contributor for the infertility. Other co-morbid factors associated with infertility in diabetic men were hypertension, erectile dysfunction, and varicocele. CONCLUSION: The present study findings revealed that there is a strong association between male infertility and Diabetes Mellitus. In Qatari diabetic men, male infertility is high and a significant public health problem in Qatar. The study results confirmed a strong association between T2DM and infertility in Qatari men.

Prevalence of metabolic syndrome according to Adult Treatment Panel III and International Diabetes Federation criteria: a population-based study.

OBJECTIVE: The objective of the study was to examine the prevalence of metabolic syndrome among adult Qatari population according to the revised criteria of the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) and the International Diabetes Federation (IDF), assess which component contributed to the increased risk of the metabolic syndrome, and identify the characteristics of the subjects with metabolic syndrome. DESIGN: This was a cross-sectional study. SETTING: The survey was carried out in urban and semiurban primary health-care centers. SUBJECTS AND METHODS: The survey was conducted from January, 2007, to July, 2008, among Qatari nationals above 20 years of age. Of the 1496 subjects who were approached to participate in the study, 1204 (80.5%) gave their consent. Face-to-face interviews were conducted using a structured questionnaire followed by laboratory tests. Metabolic syndrome was defined using the NCEP ATP III as well as IDF criteria. RESULTS: The overall prevalence of metabolic syndrome in studied subjects was 26.5% and 33.7% according to ATP III and IDF criteria (P < 0.001). The prevalence of metabolic syndrome by ATP III and IDF increased with age and body mass index (BMI), whereas it decreased with higher education and physical activity. Also, the prevalence of metabolic syndrome was more common in women. Among the components of metabolic syndrome, central obesity was significantly higher in the studied subjects. The IDF definition of metabolic syndrome gave a higher prevalence in all age groups. The overall prevalence of metabolic syndrome and its components according to IDF criteria was higher in the studied subjects than the estimates given by the ATP III. Multivariate logistics regression analysis (ATP III and IDF) showed that age and BMI were significant contributors for metabolic syndrome. Both definitions strongly supported age and obesity as associated factors for metabolic syndrome. CONCLUSIONS: The current study found a high prevalence of metabolic syndrome among Qataris. There was a steady increase in the prevalence of metabolic syndrome through the decades, independent of the definition. Age and BMI were important significant predictors for metabolic syndrome.

Prevalence of diagnosed and undiagnosed diabetes mellitus and its risk factors in a population-based study of Qatar.

OBJECTIVE: The objective of the study was to determine the prevalence of diagnosed and undiagnosed diabetes, pre-diabetes and to identify the associated risk factors in the sample of adult Qatari population. DESIGN: This was a cross-sectional study. SETTING: The survey was carried out in urban and semi-urban primary health care centers. SUBJECTS AND METHODS: The survey was conducted from January 2007 to July 2008 among Qatari nationals above 20 years of age. Of the 1434 subjects who were approached to participate in the study, 1117 (77.9%) gave their consent. Face to face interviews were conducted using a structured questionnaire followed by laboratory tests. DM was defined according to the WHO expert group. Pre diabetes status was based on the presence of impaired fasting glucose or impaired glucose tolerance. RESULTS: The overall prevalence of diabetes mellitus among adult Qatari population was high (16.7%) with diagnosed DM (10.7%) and newly diagnosed DM (5.9%). The impaired glucose tolerance (IGT) was diagnosed in 12.5%, while impaired fasting glucose was in 1.3% with a total of (13.8%). The proportion of DM was higher in Qatari women (53.2%) than in Qatari men (46.8%) and it peaked in the age group 40-49 years (31.2%). The age-specific prevalence of total DM and IGT increased with age. Risk factors were significantly higher in diabetic adult Qatari population: central obesity (p<0.001), hypertension (p<0.001), triglyceride (p<0.001), HDL (p=0.003), metabolic syndrome (p<0.001), heart diseases (p<0.001). Smoking habits and family history of DM were the major contributors for diabetes disease. The central obesity was associated with higher prevalence of DM and IFG among Qatari men and women. CONCLUSION: The present study has found a moderately high prevalence of diabetes mellitus in the adult Qatari population. High proportion of pre-diabetes in Qatari adults will increase the prevalence of DM in the next few years. Smoking habits and family history of DM were the major contributors for DM. Early diagnosis of DM is of major importance to reduce the risk of these diabetes-related conditions.