Breastfeeding Duration Reduces the Risk of Childhood Leukemia and Modifies the Risk of Developing Functional Gastrointestinal Disorders.

Objective: The aim of this study was to test the hypothesis that the duration of breastfeeding in infancy reduces the risk of childhood leukemia or lymphoma, and modifies the risk of developing functional gastrointestinal disorders (FGIDs). Subjects and Methods: This case-control study involved the recruitment of children with lymphoid malignancy and functional gastrointestinal symptoms with healthy children as controls. Focused questionnaires were used to collect data on breastfeeding history and other key risk factors. Univariate and multivariate analyses were undertaken. Results: Of the 334 children with lymphoid malignancy, 65% were male. The control group included 334 age- and sex-matched participants. Most (n = 189; 56.6%) of the children with leukemia were <10 years of age. Differences between cases and controls included the duration of breastfeeding (p < 0.0001), mean birthweight (p < 0.001), maternal age (p < 0.001), paternal age (p < 0.001), birth order (p < 0.001), mean number of children (p < 0.001), BMI percentile (p = 0.042), and maternal smoking (p = 0.012). Breastfeeding duration of up to 6 months' duration, when compared with feeding of longer than 6 months, was associated with increased odds ratios (OR) for acute lymphoblastic leukemia (OR = 3.43, 95% confidence interval [CI] 2.37-4.98; p < 0.001), Hodgkin's lymphoma (OR = 1.58, 95% CI: 0.88-2.84, p = 0.120), Non-Hodgkin's lymphoma (OR = 2.14, 95% CI: 1.25-3.65, p = 0.005), and overall (OR = 1.95, 95% CI: 1.40-2.71, p < 0.001). Cases also differed from controls with regard to FGIDs, such as stomach ache (p < 0.001), dyspepsia (p < 0.001), early satiety (p = 0.017), bowel satisfaction (p < 0.001), bloating (p < 0.001), nausea (p = 0.005), vomiting (p = 0.039), constipation (p = 0.003), diarrhea (p = 0.010), gastrointestinal canal congestion (p =0.039), muscle aches pains (p = 0.008), fecal incontinence (p = 0.021), and indigestion (p = 0.003). A multivariate stepwise regression analysis revealed that maternal smoking (p < 0.001), formula feeding (p < 0.001), duration of breastfeeding (p < 0.001), birth order (p = 0.002), mother's age (p = 0.004) and the child's birthweight (p = 0.009) were predictors for leukemia. Further analysis showed that dyspepsia (p < 0.001), gastrointestinal tract canal congestion (p < 0.001), constipation (p = 0.009), diarrhea (p = 0.013), bowel satisfaction (p = 0.021), bloating (p = 0.022), duration of breastfeeding (p < 0.001), and stomach ache (p = 0.025) were significant predictors for developing FGID symptoms after adjusting for age, gender, and other confounding variables. Conclusion: This study confirmed that breastfeeding has some effect on reducing possible risk of childhood lymphoma and leukemia and FGID symptoms compared with healthy control children.

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.

Food impaction in older age: Think about an eosinophilic esophagitis.

Eosinophilic esophagitis is an inflammatory condition of esophagus. It is generally seen in childhood and young population. Men are more commonly affected than women. However, it is not common in an advanced age. Eosinophilic esophagitis decreases the ability of the esophagus to stretch and accommodation against foods. Therefore, the major symptom in adults with eosinophilic esophagitis is difficulty in swallowing solid food (dysphagia). Specifically, the food gets stuck in the esophagus after it is swallowed. Less common symptoms include heartburn and chest pain. Because of this, it may be incorrectly diagnosed as a gastroesophageal reflux disease. Here, we reported a case presented with food impaction at advanced age. As a conclusion, eosinophilic esophagitis is a rare entity that must be remembered in advance aged patients presenting with food impaction.