Sleep onset latency in students living in dormitories at Tehran University of medical sciences: A survival analysis

Difficulty Initiating Sleep is a prevalent disorder in university students. In this study, we aimed to estimate the time of going to bed to get sleep and to identify its determinants by survival analysis. This study is based on a cross-sectional study that was been performed on 277 students who lived in dormitories of Tehran University of Medical Sciences (TUMS). We used Pittsburgh Sleep Quality Index(PSQI), General Health Questionnaire(GHQ) and a demographic questionnaire for data collection. Independent t-test, One-way ANOVA and survival analysis were used for analyzing the data. Mean ± SD of time of going to bed to get sleep was 23.61±16.31 minutes. Range of this time was between 0 to 90 minutes. This time was related to sleep quality, mental health and tea drinking in univariate analysis. Cox regression model showed sleep quality, working alongside academic affairs, financial source type for living expences and effect modification between two last variables were significant determinants of sleep latency. All determinants of sleep latency in our study are changeable factors. It means educationonal programs can play a very important role in controlling of these factors and improvement of sleep status of dormitory students

Relationship between Quality of Sleep and Mental Health among Students Living in Dormitories

Abstract: Introduction: This study was carried out to investigate the sleep quality and its relationship with mental health among students living in dormitories. Methods: In this cross-sectional study, 277 students residing in dormitories of Tehran University of Medical Sciences were selected through stratified random sampling procedure. A demographic questionnaire, Pittsburgh Sleep Quality Index (PSQI) and General Health Questionnaire (GHQ-28) were used for data collection. Chi-square, Spearman and logistic regression were used to analyze the data. Results: The prevalence of sleep disturbance was 73.3% (68.1-78.5) in this sample and the prevalence of poor mental health was 34.4% (28.7-39. 9). The findings showed a significant relationship between quality of sleep and mental health (P<0.001). Conclusion: Our study displayed a significant relationship between quality of sleep and mental health. So interventionist programs are suggested to improve the sleep quality of students ant to prevent mental health disorders among students living in dormitories

Sleep Quality of Students living in Dormitories in Tehran University of Medical Sciences (TUMS) in 2011

Background & Objectives: Sleep quality is an important factor in student life and affects in their learning process. Sleep problems are related to increased health concerns, irritability, depression, fatigue, attention and concentration difficulties, along with poor academic performance. The aim of this paper is to conduct a survey based on a questionnaire that would characterize the quality of sleep in students living in dormitories of Tehran University of Medical Sciences (TUMS). Methods: We conducted a cross-sectional study using the ..

How within-city socioeconomic disparities affect life expectancy? Results of Urban HEART in Tehran, Iran

There is substantial lack of knowledge about the role of socioeconomic status (SES) indicators on life expectancy (LE) within-cities, especially within mega-cities. We aimed to investigate the disparities of LE within city districts of Tehran, Iran, and specify how SES inequalities play role on LE.; The death and population data for 2010 by different age, gender, and residency district were obtained from the main cemetery of Tehran and statistical centre of Iran, respectively. Age-specific mortality rates and consequently LE were calculated for all 22 districts by different genders. Finally, based on the results of first Tehran's Urban Health Equity Assessment and Response Tool (Urban HEART) project in 2008, the influence of social classes (SCs), total costs, and education indicators were analyzed on LE at birth (e0).; The e0 for total males and females in Tehran were calculated as 74.6 and 78.4 years for 2010, respectively. The maximum LE of 80 years was observed in females of northern part with higher SES, and the minimum e0 of 72.7 years observed in males of southern part with lower SES. The e0 gender gap among districts was 5.5 years for females and 3.7 years for males. The highest and lowest mean of e0 observed in SC1 (highest class) and SC5 (lowest class), were 77.6 and 76.0 years, respectively. The lowest mean of e0 observed in the first group of total costs indicator and was 76.2 years. In addition, the lowest observed mean of e0 was in the first category of education indicator (illiterate) and was 76.0 years.; RESULTS indicate substantial disparities in LE within city districts. This confirms that SES disparities within-cities would have direct influences on LE

Associations between dietary risk factors and ischemic stroke: a comparison of regression methods using data from the Multi-Ethnic Study of Atherosclerosis

OBJECTIVES We analyzed dietary patterns using reduced rank regression (RRR), and assessed how well the scores extracted by RRR predicted stroke in comparison to the scores produced by partial least squares and principal component regression models. METHODS Dietary data at baseline were used to extract dietary patterns using the 3 methods, along with 4 response variables: body mass index, fibrinogen, interleukin-6, and low-density lipoprotein cholesterol. The analyses were based on 5,468 males and females aged 45-84 years who had no clinical cardiovascular disease, using data from the Multi-Ethnic Study of Atherosclerosis. RESULTS The primary factor derived by RRR was positively associated with stroke incidence in both models. The first model was adjusted for sex and race and the second model was adjusted for the variables in model 1 as well as smoking, physical activity, family and sibling history of stroke, the use of any lipid-lowering medication, the use of any anti-hypertensive medication, hypertension, and history of myocardial infarction (model 1: hazard ratio [HR], 7.49; 95% confidence interval [CI], 1.66 to 33.69; p for trend=0.01; model 2: HR, 6.83; 95% CI, 1.51 to 30.87 for quintile 5 compared with the reference category; p for trend=0.02). CONCLUSIONS Based primarily on RRR, we identified that a dietary pattern high in fats and oils, poultry, non-diet soda, processed meat, tomatoes, legumes, chicken, tuna and egg salad, and fried potatoes and low in dark-yellow and cruciferous vegetables may increase the incidence of ischemic stroke

Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12·2 million (95% UI 11·0–13·6) incident cases of stroke, 101 million (93·2–111) prevalent cases of stroke, 143 million (133–153) DALYs due to stroke, and 6·55 million (6·00–7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8–12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1–6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0–73·0), prevalent strokes increased by 85·0% (83·0–88·0), deaths from stroke increased by 43·0% (31·0–55·0), and DALYs due to stroke increased by 32·0% (22·0–42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0–18·0), mortality decreased by 36·0% (31·0–42·0), prevalence decreased by 6·0% (5·0–7·0), and DALYs decreased by 36·0% (31·0–42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0–24·0) and incidence rates increased by 15·0% (12·0–18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5–3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5–3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57–8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97–3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01–1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7–90·8] DALYs or 55·5% [48·2–62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3–48·6] DALYs or 24·3% [15·7–33·2]), high fasting plasma glucose (28·9 million [19·8–41·5] DALYs or 20·2% [13·8–29·1]), ambient particulate matter pollution (28·7 million [23·4–33·4] DALYs or 20·1% [16·6–23·0]), and smoking (25·3 million [22·6–28·2] DALYs or 17·6% [16·4–19·0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries.publishedVersio

Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12.2 million (95% UI 11.0-13.6) incident cases of stroke, 101 million (93.2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6.55 million (6.00-7.02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11.6% 10.8-12.2] of total deaths) and the third-leading cause of death and disability combined (5.7% 5.1-6.2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70.0% (67.0-73.0), prevalent strokes increased by 85.0% (83.0-88.0), deaths from stroke increased by 43.0% (31.0-55.0), and DALYs due to stroke increased by 32.0% (22.0-42.0). During the same period, age-standardised rates of stroke incidence decreased by 17.0% (15.0-18.0), mortality decreased by 36.0% (31.0-42.0), prevalence decreased by 6.0% (5.0-7.0), and DALYs decreased by 36.0% (31.0-42.0). However, among people younger than 70 years, prevalence rates increased by 22.0% (21.0-24.0) and incidence rates increased by 15.0% (12.0-18.0). In 2019, the age-standardised stroke-related mortality rate was 3.6 (3.5-3.8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3.7 (3.5-3.9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62.4% of all incident strokes in 2019 (7.63 million 6.57-8.96]), while intracerebral haemorrhage constituted 27.9% (3.41 million 2.97-3.91]) and subarachnoid haemorrhage constituted 9.7% (1.18 million 1.01-1.39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79.6 million 67.7-90.8] DALYs or 55.5% 48.2-62.0] of total stroke DALYs), high body-mass index (34.9 million 22.3-48.6] DALYs or 24.3% 15.7-33.2]), high fasting plasma glucose (28.9 million 19.8-41.5] DALYs or 20.2% 13.8-29.1]), ambient particulate matter pollution (28.7 million 23.4-33.4] DALYs or 20.1% 16.6-23.0]), and smoking (25.3 million 22.6-28.2] DALYs or 17.6% 16.4-19.0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries

Evaluation of thyroid dysfunction and thyroid autoantibodies in patients with Vitiligo

Background and Objective: Vitiligo is one of the most frequent skin disorders with a prevalence of 1-2% in different populations. Although many theories have been suggested for its pathogenesis, but the most popular hypotheses is the role of autoimmunity in Vitiligo. This study was done to evaluate the thyroid dysfunction and thyroid autoantibodies in patients with Vitiligo. Methods: This case-control study was carried out on 45 patients with Vitiligo and 45 age- and sex-matched healthy individuals as control group. Age, gender, duration of the disease and type of Vitiligo were collected through a standard questionnaire. Thyroid autoantibodies including thyroglobulin antibody, anti- thyroglobulin and thyroid peroxidase antibody, and anti-TPO thyroid hormones Tetraiodothyronine (T4), Triiodothyronine (T3) and thyroid stimulating hormone (TSH) in Vitiligo patients and healthy volunteers were measeared. Results: Serum level of T4 was significantly reduced in Vitiligo patient compared to controls (P<0.05). Serum level of T4 in 20% of Vitiligo patient and 2.2% of control cases was less the normal level. Anti-TPO in 14 (31.1%) of Vitiligo patient and 6 (13.3%) of controls were higher than normal range (<60 IU/m) (P<0.05). Serum level of anti- thyroglobulin was significantly higher in those with Vitiligo in compared to controls (P<0.05). Conclusion: This study showed that the thyroid dysfunction particularly hypothyroidism and anti-TPO is more common in Vitiligo patients

How climate change can affect cholera incidence and prevalence? A systematic review

Although the number of cholera infection decreased universally, climate change can potentially affect both incidence and prevalence rates of disease in endemic regions. There is considerable consistent evidence, explaining the associations between cholera and climatic variables. However, it is essentially required to compare and interpret these relationships globally. The aim of the present study was to carry out a systematic review in order to identify and appraise the literature concerning the relationship between nonanthropogenic climatic variabilities such as extreme weather- and ocean-related variables and cholera infection rates. The systematic literature review of studies was conducted by using determined search terms via four major electronic databases (PubMed, Web of Science, Embase, and Scopus) according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. This search focused on published articles in English-language up to December 31, 2018. A total of 43 full-text studies that met our criteria have been identified and included in our analysis. The reviewed studies demonstrated that cholera incidence is highly attributed to climatic variables, especially rainfall, temperature, sea surface temperature (SST) and El Niño Southern Oscillation (ENSO). The association between cholera incidence and climatic variables has been investigated by a variety of data analysis methodologies, most commonly time series analysis, generalized linear model (GLM), regression analysis, and spatial/GIS. The results of this study assist the policy-makers who provide the efforts for planning and prevention actions in the face of changing global climatic variables.</p