Evaluation of Depression and its Related Factors Among Female Students in Fasa, Iran

Background: We aimed to determine frequency of depression among female adolescent students and its related factors in Fasa, Iran.Methods: In a cross-sectional study, female high school students were evaluated. Depression, mental disorder and family’s relative peace were measured using standard scales.Results: A total of 516 students were evaluated in which 157 (30.4%) students did not suffer any type of depression. The mean depression score of students had significant relationship with history of an addicted family member (P < 0.001), family relative peace (P < 0.001), history of any mental-psychological disorder in family (P < 0.001) and parents’ educational level (P = 0.03).Conclusion: The prevalence of depression was high in female students and was associated with variables such as drug-addicted family member, relative peace and history of mental-psychological disorders in the family

The Effect of Diet Based on Body Mass Index on Pregnancy Outcomes in 20 – 35 Year Old Pregnant Mothers with Gestational Diabetes Mellitus (GDM) Referred to Arash Hospital

Background: Gestational diabetes can cause macrosomia, fetal abnormalities, and increased prevalence of hypertension, which unreasonably increases fetal mortality rate. Nutrition plays a crucial role in the complications of pregnancy in these patients. The purpose of this study was to investigate the effect of a BMI (Body Mass Index) based diet on pregnancy outcomes in diabetic pregnant women aged between 20-35 years referred to Arash Hospital. Materials and Methods: In this randomized, double-blind clinical trial, 70 diabetic pregnant women aged between 20-35 years were divided into two groups as case and control. The control group received a diet including 30 kilocalories per kilogram energy regardless of their BMI. The first group, including participants with the BMI ranged between 19-24.9 received 30 kilocalories per kilogram energy diet, and the second group including participants with the BMI between 25-29.9 received 25 kilocalories per kilogram diet. The SPSS software version 23 was used for analyzing the data and P-value<0.05 was considered as significant. Results: There was no significant difference between the cases and control group in the mean of gaining weight at the end of pregnancy (p=0.3). There was also no significant difference between the mean birth weight (p=0.05), Insulin requirement (p=0.7), macrosomia (p=0.2), hypertension (p=0.1), intrauterine growth retardation (p=0.3), gestational age in delivery (p=0.3), and infant blood calcium (p=0.3) between the groups.However, the mean newborn blood sugar level in case group was significantly lower than the control group (p=0.01). Conclusion: BMI based calorie intake restriction in diet during pregnancy did not affect the main pregnancy outcomes such as average weight gain at the end of pregnancy, insulin requirement, newborns birth weight risk of fetal macrosomia r, maternal high blood pressure, intrauterine growth retardation, gestational age in delivery, infant blood calcium. However, newborn blood sugar was significantly lower in the case group compared to control group

The effects of Portulaca oleracea L (purslane) on psychologic symptoms and malondialdehyde level in schizophrenic patients

Background and Aim: Despite the availability of antipsychotic drugs, a large number of patients with schizophrenia do not show a good response to monotherapy with these drugs. In this study we evaluated the effect of purslane on psychologic symptoms and malondialdehyde (MDA) level in schizophrenic patients in Sina Hospital. Materials and Methods: This randomized clinical trial study was carried out on 60 chronic schizophrenic patients treated with risperidone in Sina Hospital in Joneghan, Iran between 2011 and 2012. Patients were randomly divided into intervention and control groups. The control group received risperidone 6mg/day and biperiden 4mg/day for 8 weeks. The Patients in the intervention group received 1g extract of purslane daily in addition to risperidone and biperiden for 8 weeks. The scales for assessment of positive symptoms (SAPS), assessment of negative symptoms (SANS) and MDA level were recorded at the baseline and at the end of the 8th week of study. Data analysis was performed by using mean, SD, student t-test and paired t- test. Results: At the end of the study, the respective mean scores of positive symptoms were 47.93±18.56 in the intervention and 57.1±14.83 in the control group (P<0.05), and the mean scores of negative symptoms were 40.83±11.03 in the intervention and 46.13± 9.34 in the control group (P<0.05).In addition, the MDA levels of the patients in the intervention and control groups were 3.25±1.25 and 5.43± 1.76 respectively (P<0.05). Conclusion: According to findings of this study, simultaneous use of purslane and respridone can lead to improvement of psychological condition and decreased MDA level in the patients with chronic schizophrenia

Sleep quality in medical students; the impact of over-use of mobile cell-phone and social networks

Background: Poor sleep quality is closely associated with lifestyle habits including use of mobile cell-phones. This study aimed to identify the relationship between sleep quality due to abuse in mobile cell-phones and engagement in social networks. Methods: This cross-sectional study was conducted on 380 undergraduate students selected by proportional stratified sampling in Qom, Iran in 2015. Data were collected by two statndard questionnaire including Cell-Phone Over-Use Scale (COS) and Pittsburgh sleep quality questionnaire beside the status of usage in cell-phone social networks. T-test, chi-square, Pearson correlation coefficient and multivariate logistic regression were used in data analysis. Results: The mean age of participants was 21.8 ±3.2 yr, 69.1% were female, and 11.7% were married. The mean of COS and sleep quality scores were 48.18 ±17.5 and 5.38 ±2.31, respectively. The prevalence of over-use of cell phone was 10.7% (CI 0.95; 8.8%, 12.6%) and the prevalence of poor sleep quality was 61.7% (CI 0.95; 57.1%, 66.3%). The mean of all aspects and total score of sleep quality showed a direct significant association by cell-phone addiction score except sleep duration score that was inversely. Based on multivariate analysis affected to cell-phone addiction, being male gender and studying in general physician level are the most important predictors of poor sleep quality. Conclusions: Over use of internet and social networks via smart phones is related to poor sleep quality and quantity. Predefined sport programs, educational, cultural, and interesting entertainment are the essential needs for all medical students. These interventions are more important especially for male students who have longer educational

The effect of Migri-Heal® on nitric oxide production in an in vitro inflammatory model of primary microglial cells

Background: Recently, much attention has been directed towards considering activated microgelial cells as putative targets for treatment of neurological disorders. MigriHeal® as a novel herbal remedy was introduced for the treatment of migraine headaches. The previous researches has shown that MigriHeal® extracts can decrease NO in an in vitro inflammatory model. The aim of this study was to investigate the effect of MigriHeal® on NO generation from LPS- stimulated microglia cells.Materials and Methods: Neonatal rat primary microglial cells were isolated from the mixed glial cultures and the purity of the cultures was determined by immunocytochemistry. Microglial cells were pretreated with Migri-Heal® and activated by 1μg/ml LPS. Subsequently, NO levels in the culture supernatants were measured by a griess reaction. Our results showed that Migri-Heal® 50μg/ml significantly reduced NO level in inflamed microglia in a dose-dependent manner. Results: The results showed that different concentrations of Migri-Heal® had no prominent effect on cell viability in presence of LPS as compared with the control group. In addition, the pretreatment of microglia cells with Migri-Heal® can prevent from a morphological changes of the cells into the round and phagocytic shape. Conclusion: Our study demonstrated that MigriHeal® might have NO scavenging properties. Integrative studies are warranted to uncover the novel pharmacological insights of this herbal remedy as an putative therapeutic approach against diseases - associated with inflammation

Self-rated health and internet addiction in Iranian medical sciences students; prevalence, risk factors and complications

Introduction: Self-rated health is a brief measure for general health. It is a comprehensive and sensitive index for prediction of health in future. Due to the high internet usage in medical students, the current study designed to evaluate the self-rated health (SR H) in relationship with internet addiction risk factors in medical students. Methods: This cross sectional study conducted on 254 students of Qom University of Medical Sciences 2014. Participants selected by two stage sampling method including stratified and simple random sampling. The Young’s questionnaire of internet addiction and SR H question used for data collection. Chisquare, t-test, and logistic regression used in data analysis. Results: More than 79.9% of students reported their general health good and very good. The student’s mean score of general health was higher than the average. In addition, the prevalence of internet addiction was 28.7%. An inverse significant correlation observed between SR H and internet addiction score (r=-0.198, p=0.002). Using internet for Entertainment, using private Email and chat rooms were the most important predictors of affecting to internet addiction. Moreover, internet addiction is the most predictors of SR H and increased the odds of bad SR H. Conclusion: The good SR H of medical students was higher than general population but in health faculty’ students were lower than others. Due to the effect of internet addiction on SRH and increasing trend of internet use in medical students, as well as low age of participants, attention to psychological aspects and the job expectancy in future, can effective on increasing the good SRH

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2\ub75th percentile and 100 as the 97\ub75th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59\ub74 (IQR 35\ub74–67\ub73), ranging from a low of 11\ub76 (95% uncertainty interval 9\ub76–14\ub70) to a high of 84\ub79 (83\ub71–86\ub77). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030

Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017.

BACKGROUND: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of 'leaving no one behind', it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment. METHODS: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator