Temperament Traits in Pediatric Obsessive-Compulsive Disorder in Relation to Tourette Syndrome and Attention-Deficit Hyperactivity Disorder.

INTRODUCTION: Pediatric obsessive-compulsive disorder (OCD), attention-deficit hyperactivity disorder (ADHD), and Tourette syndrome (TS) are often concurrent. This study explores the temperament profile of complex OCD phenotypes. METHODS: A clinical registry recorded demographic data, psychiatric diagnoses, and temperament traits, including novelty seeking (exploratory behaviors), harm avoidance (fear of uncertainty), reward dependence (sentimentality), and persistence (perseverance). Temperament data were accrued from the Junior Temperament and Character Inventory (JTCI). Participants were divided into (1) OCD only; (2) OCD+ADHD or TS; and (3) OCD+ADHD+TS to compare temperament. RESULTS: Participants include 126 youths with OCD (61.9% male, 88.9% white) between the ages 6 and 18 years (12.7 ± 3.1). Among the three groups, the complex neurodevelopmental disorder group OCD+ADHD+TS expresses the highest novelty seeking and lowest persistence. Harm avoidance is increased in all groups compared to reference controls, irrespective of concurrent ADHD or TS. For the OCD+ADHD+TS group, contamination and washing symptoms have higher novelty seeking (p < 0.01), while counting and ordering have lower novelty seeking (p < 0.05). Harm avoidance is increased with aggressive, somatic, and checking symptoms in OCD only (p < 0.01), while persistence is increased with repeating and counting symptoms in the comorbid groups (OCD+ADHD or TS, OCD+ADHD+TS). DISCUSSION/CONCLUSION: The complex subtype, OCD+ADHD+TS, is associated with high novelty seeking and low persistence, while high harm avoidance is linked to pediatric OCD irrespective of ADHD or TS co-occurrence. In sum, pediatric OCD with ADHD and TS confers a unique temperament profile, further refining complex phenotypes of pediatric OCD for future research.

Associations between long-term exposure to air pollution, diabetes, and hypertension in metropolitan Iran: an ecologic study.

Epidemiological studies on air pollution, diabetes, and hypertension conflict. This study examined air pollution, diabetes, and hypertension in adults in 11 metropolitan areas of Iran (2012-2016). Local environment departments and the Tehran Air Quality Control Company provided air quality data. The VIZIT website and Stepwise Approach to Chronic Disease Risk Factor Surveillance study delivered chronic disease data. Multiple logistic regression and generalized estimating equations evaluated air pollution-related diabetes and hypertension. In Isfahan, Ahvaz, and Tehran, PM2.5 was linked to diabetes. In all cities except Urmia, Yasuj, and Yazd, PM2.5 was statistically related to hypertension. O3 was connected to hypertension in Ahvaz, Tehran, and Shiraz, whereas NO2 was not. BMI and gender predict hypertension and diabetes. Diabetes, SBP, and total cholesterol were correlated. Iran's largest cities' poor air quality may promote diabetes and hypertension. PM2.5 impacts many cities' outcomes. Therefore, politicians and specialists have to control air pollution.

Cornelia de Lange syndrome and the Cohesin complex: Abstracts from the 9th Biennial Scientific and Educational Virtual Symposium 2020.

Cornelia de Lange syndrome (CdLS) is a spectrum disorder due to variants in genes of the cohesin protein complex. The following abstracts are from the Cornelia de Lange Syndrome Scientific and Educational Symposium held virtually in October 2020. Aspects of behavior, including autistic features, impulsivity, adaptive skills, executive function, and anxiety are described. Applied behavioral analysis is a promising approach for autism, and an N-acetylcysteine trial is proposed. Children below 6 years with CdLS have an increased number of and further travel to medical providers, with insurance type comprising a significant barrier. Speech, language, and feeding abilities fall significantly below expectations for age in CdLS. Augmentative alternative communication can yield potential barriers as well as interesting benefits. Developmentally, studies in animal models further elucidate the mechanisms and roles of cohesin: link with mediator transcriptional complex; facilitation of enhancer-promoter communication; regulation of gene expression; allocation of cells to germ layers; and repair of spontaneous DNA damage in placental cells. Genome and RNA sequencing can help identify the molecular cause in the 20% of individuals with suspected CdLS and negative testing. The phenotypes in individuals with variants in the SMC1A gene are distinct, and that with intractable seizures has been further evaluated. AMA CME credits provided by GBMC, Baltimore, MD. All studies approved by an ethics committee.

Diagnostic accuracy of first and early second trimester multiple biomarkers for prediction of gestational diabetes mellitus: a multivariate longitudinal approach.

BACKGROUND: Gestational Diabetes Mellitus (GDM) is an underlying cause of maternal and newborn morbidity and mortality all around the world. Timely diagnosis of GDM plays an important role in reducing its adverse consequences and burden. This study aimed to determine diagnostic accuracy of multiple indicators in complete blood count (CBC) test for early prediction of GDM. METHODS: In this prospective cohort study, the data from 600 pregnant women was analyzed. In the study sample, the two-step approach was utilized for the diagnosis of GDM at 24-28 weeks of gestation. We also used the repeated measures of hemoglobin (Hb), hematocrit (Hct), fasting blood sugar (FBS) and red blood cell count (RBC) in the first and early second trimesters of pregnancy as the longitudinal multiple indicators for early diagnosis of GDM. The classification of pregnant women to GDM and non-GDM groups was performed using a statistical technique based on the random-effects modeling framework. RESULTS: Among the sample, 49 women (8.2%) were diagnosed with GDM. In the first and early second trimester of pregnancy, the mean HcT, Hb and FBS of women with GDM was significantly higher than non-GDMs (P < 0.001). The concurrent use of multiple longitudinal data from HcT, Hb, RBC and FBS in the first and early second trimester of pregnancy resulted in a sensitivity, specificity and area under the curve (AUC) of 87%, 70% and 83%, respectively, for early prediction of GDM. CONCLUSIONS: In general, our findings showed that the concurrent use of repeated measures data on Hct, Hb, FBS and RBC in the first and early second trimester of pregnancy might be utilized as an acceptable tool to predict GDM earlier in pregnancy.

The effects of chitosan supplementation on anthropometric indicators of obesity, lipid and glycemic profiles, and appetite-regulated hormones in adolescents with overweight or obesity: a randomized, double-blind clinical trial.

BACKGROUND: Chitosan is one of dietary fiber that has received great attention in improving obesity-related markers, but little is known on its effects on adolescents. OBJECTIVES: To analyze the effects of chitosan supplementation on obesity-related cardiometabolic markers and appetite-related hormones in adolescents with overweight or obesity. METHODS AND ANALYSIS: A randomized clinical trial was performed on 64 adolescents with overweight and obesity, who were randomly allocated to receive chitosan supplementation (n = 32) or placebo as control (n = 32) for 12 weeks. Anthropometric measures, lipid and glycemic profiles, and appetite-related hormones were examined. RESULTS: Sixty-one participants completed study (chitosan = 31, placebo = 30). Chitosan supplementation significantly improved anthropometric indicators of obesity (body weight: - 3.58 ± 2.17 kg, waist circumference: - 5.00 ± 3.11 cm, and body mass index: - 1.61 ± 0.99 kg/m2 and - 0.28 ± 0.19 Z-score), lipid (triglycerides: - 5.67 ± 9.24, total cholesterol: - 14.12 ± 13.34, LDL-C: - 7.18 ± 10.16, and HDL-C: 1.83 ± 4.64 mg/dL) and glycemic markers (insulin: - 5.51 ± 7.52 µIU/mL, fasting blood glucose: - 5.77 ± 6.93 mg/dL, and homeostasis model assessment of insulin resistance: - 0.24 ± 0.44), and appetite-related hormones (adiponectin: 1.69 ± 2.13 ng/dL, leptin - 19.40 ± 16.89, and neuropeptide Y: - 41.96 ± 79.34 ng/dL). When compared with the placebo group, chitosan supplementation had greater improvement in body weight, body mass index (kg/m2 and Z-score), waist circumference, as well as insulin, adiponectin, and leptin levels. Differences were significant according to P-value < 0.05. CONCLUSION: Chitosan supplementation can improve cardiometabolic parameters (anthropometric indicators of obesity and lipid and glycemic markers) and appetite-related hormones (adiponectin, leptin, and NPY) in adolescents with overweight or obesity.

Six-Decade Trend Analysis of Life Expectancy at Birth in Asia, Regions of Asia and Iran: A Joinpoint Analysis.

Background: Life expectancy is one of the key indicators for investigating the overall health status of a population. Thus, analyzing the trend of this demographic measure is of great importance for planning health and social services in different societies. In this study, we aimed to model the trends of life expectancy in Asia, regions of Asia, and Iran over the past six decades. Methods: The annual life expectancy at birth data sets were extracted for Iran and the total Asia population between 1960 and 2020 from the database provided by the Our World in Data website. The trend analysis was performed using the joinpoint regression model. Results: During the study period, Iranians and Asians have, respectively, experienced about 32 and 28.6 years increase in life expectancy. The results from joinpoint regression showed that the average annual percent change (AAPC) of life expectancy was positive for all regions of Asia, and ranged from 0.4% for Central Asia to 0.9% for Southern Asia. In addition, the estimated AAPC in Iranian people was about 0.1 higher than the total Asian population (0.9% vs. 0.8%). Conclusion: Despite protracted wars, poverty, and social inequality in some parts of Asia, life expectancy has drastically increased in this continent over the last decades. However, life expectancy in Asia (and Iran) is still remarkably lower than in more developed parts of the world. To elevate life expectancy to a higher level, the policymakers in Asian countries should put more effort into improving the standards of living and access to health facilities in their societies.

Colorectal Cancer Screening Program Results in Iran.

Background: Colorectal cancer (CRC) accounts for a large proportion of the global burden of cancer and is the fourth leading cause of cancer-related mortality worldwide. Fecal Immunochemical Testing (FIT) can be used for CRC screening programs due to its high accuracy and compliance. The present study reports the preliminary results of the CRC screening program in Iran among all people aged 50 to 69 years. Methods: This cross-sectional study was carried out on 2,669,625 participants referred to health centers in Iran for CRC screening programs in 2018 and 2019. The data required for this study was taken from the CRC screening program. Relevant information for all individuals aged 50 to 69 referred to the health system that was called for colorectal cancer screening was extracted from the Integrated Electronic Health Records (SIB) database. Finally, the standards indices were calculated for all provinces. Gender, history of inflammatory bowel disease (IBD) (Crohn's disease or ulcerative colitis), history of colon cancer or adenoma in a first-degree family (father, mother, siblings or children), history of colon cancer in a second-degree family if occurred under the age of fifty (aunt, uncle, grandparents), lower gastrointestinal bleeding in a prior month, constipation in the prior month (with or without diarrhea, abdominal pain and feeling of fullness in the colon after defecation), more than ten percent weight loss in the last six months and FIT were assessed. Results: Among a total number of over 2.6 million, 56.3% were female, and the number of people evaluated by health care providers for CRC screening programs in 2018 and 2019 were 1,365,248 (14.23%) and 1,304,377 (12.89%), respectively. The number of people with positive FIT evaluated for the CRC screening program in 2018 and 2019 was 33,299 (3.09%) and 33,583 (2.57%), respectively. Bushehr province (0.59%) and Isfahan province (7.35%) had the lowest and highest positive FIT rate in 2018, respectively. Also, the correlation between the above-mentioned variables and the number of people with a positive FIT across gender was statistically significant (p<0.05). The study of the relationship between the number of positive FIT cases and the variables examined by Behvarz and community health worker showed that the number of people with a family history of colon cancer in second-degree relatives under the age of 50 and also the number of people with an individual history of inflammatory bowel disease had a significant association with the number of positive FIT cases (p<0.05) (ß=-0.718, 95% CI; -2.557-14.992, ß=0.388, 95% CI; 0.322-16.737, respectively). The relationship between the number of positive FIT cases and effective variables was not statistically significant (p>0.05). Conclusion: Positive cases should be referred for further evaluation and colonoscopy. Before performing a screening program, the conditions for performing colonoscopy for these people must be assessed and prepared. The FIT for CRC screening program can be easily promoted in Iran.

Trend analysis of cardiovascular disease mortality, incidence, and mortality-to-incidence ratio: results from global burden of disease study 2017.

BACKGROUND: Cardiovascular diseases (CVDs) are one of the global leading causes of concern due to the rising prevalence and consequence of mortality and disability with a heavy economic burden. The objective of the current study was to analyze the trend in CVD incidence, mortality, and mortality-to-incidence ratio (MIR) across the world over 28 years. METHODS: The age-standardized CVD mortality and incidence rates were retrieved from the Global Burden of Disease (GBD) Study 2017 for both genders and different world super regions with available data every year during the period 1990-2017. Additionally, the Human Development Index was sourced from the United Nations Development Programme (UNDP) database for all countries at the same time interval. The marginal modeling approach was implemented to evaluate the mean trend of CVD incidence, mortality, and MIR for 195 countries and separately for developing and developed countries and also clarify the relationship between the indices and Human Development Index (HDI) from 1990 to 2017. RESULTS: The obtained estimates identified that the global mean trend of CVD incidence had an ascending trend until 1996 followed by a descending trend after this year. Nearly all of the countries experienced a significant declining mortality trend from 1990 to 2017. Likewise, the global mean MIR rate had a significant trivial decrement trend with a gentle slope of 0.004 over the time interval. As such, the reduction in incidence and mortality rates for developed countries was significantly faster than developing counterparts in the period 1990-2017 (p < 0.05). Nevertheless, the developing nations had a more rather shallow decrease in MIR compared to developed ones. CONCLUSIONS: Generally, the findings of this study revealed that there was an overall downward trend in CVD incidence and mortality rates, while the survival rate of CVD patients was rather stable. These results send a satisfactory message that global effort for controlling the CVD burden was quite successful. Nonetheless, there is an urgent need for more efforts to improve the survival rate of patients and lower the burden of this disease in some areas with an increasing trend of either incidence or mortality.

Trend analysis of disability adjusted life years due to cardiovascular diseases: results from the global burden of disease study 2019.

BACKGROUND: Cardiovascular diseases (CVDs) are the number one cause of global mortality representing about one third of all deaths across the world. The objective of the present study was to model the global trend in disability-adjusted life years (DALY) and its components due to CVD over the past three decades. We also aimed to evaluate the longitudinal relationship between CVD DALY and Human Development Index (HDI) in this period of time. METHODS: The age-standardized rates of years lost due to disability (YLD), years of life lost (YLL) and DALY were extracted for cardiovascular diseases from the Global Burden of Disease (GBD) Study 2019 in years 1990 to 2019. Additionally, the United Nations Development Programme (UNDP) database was used to retrieve HDI values for all world countries at the same period time. The trend analysis was performed using the joinpoint regression model. RESULTS: The obtained revealed a significant downward trend for DALY and its components with the average annual percent change of - 1.0, - 0.3 and - 1.1 per 100,000 population, respectively for DALY, YLD and YLL. We also found that countries with high/very high levels of HDI have remarkably experienced steeper declining slope of trend than those in lower levels of HDI over the study period. CONCLUSIONS: Although the observed decreasing trend of CVD burden is a hopeful message for all world countries, the considerable gap in slope of trend between richer and poorer parts of the world is a serious alarm for health policy makers. Regarding this, there is an urgent need to put more efforts on implementing preventive programs, improving the level of patients' care and providing efficient treatment, especially in regions with lower levels of HDI.

Trend analysis and longitudinal clustering of tuberculosis mortality in Asian and North African countries: Results from the global burden of disease 2017 study.

Background: Tuberculosis (TB) is still a serious health problem with a remarkable global burden. In this study, we aimed to assess the trend of TB mortality in Asian and North African countries in the period 1990-2017 and provide a new classification according to TB mortality trend. Methods: TB mortality rates from 1990 to 2017 were extracted from the Global Burden of Disease website for 55 Asian and North African countries. Trend analysis of TB mortality rates for males, females, and the total population was performed using the marginal modeling approach. Moreover, the latent growth mixture modeling (LGMM) framework was applied to classify these 55 countries based on their trend of TB mortality rate. Results: In the period between 1990 and 2017, South Asia and High Income Asia-Pacific regions had the highest and lowest death rates due to TB, respectively. The marginal modeling results showed that the Asian and North African countries had experienced a downward trend with an intercept of 28.79 (95%CI: 19.64, 37.94) and a slope (mean annual reduction) of -0.67 (95%CI: -0.91, -0.43) per 100,000 the study period. Finally, the LGMM analysis classified these 55 countries into four distinct classes. Conclusion: In general, our findings revealed that although the countries in Asia and North Africa super region experienced a descending TB mortality trend in the past decades, the slope of this reduction is quite small. Also, our new classification may be better suited for combating TB through future healthcare planning in lieu of the commonly used geographic classifications.

Trend Analysis of HIV/AIDS Burden in Iran: Results from the Global Burden of Disease 2017 Study.

Background: Despite global efforts, human immunodeficiency virus/ acquired immunodeficiency syndrome (HIV/AIDS) is still one of the major public health problems in the entire world. In this context, assessing the burden of this disease in different parts of the world is of great importance. In this study, we aimed to investigate the trends of HIV/AIDS incidence and mortality in Iran during 1990 and 2017. Methods: The HIV/AIDS burden data, including the age-standardized incidence rate (ASIR) and the mortality rate (ASMR), was extracted from the Global Burden of Diseases 2017 study for the total Iranian population and by gender from 1990 to 2017. The trend analysis was performed using joinpoint regression modeling approach. Results: The obtained results showed that in 2017, the HIV/AIDS ASIR and ASMR were, respectively, more than 12 and 10 times of these rates in 1990. Also, the estimated average annual percent change (AAPC) was 9.8% and 8.7%, respectively for the ASIR and the ASMR. In this period, women have experienced a sharper slope of ASIR and ASMR trends compared with Iranian men. Conclusion: The increasing trend of HIV/AIDS burden is a serious alarm for the Iranian health policymakers. To achieve the United Nations Programme on HIV and AIDS goals, there is an urgent need for an efficient national action plan that breaks the HIV/AIDS taboo in the society, promote access to HIV testing and prevention facilities, especially among the key populations, and provide care and treatments for all infected people.

Predicting coronary artery disease: a comparison between two data mining algorithms.

BACKGROUND: Cardiovascular diseases (CADs) are the first leading cause of death across the world. World Health Organization has estimated that morality rate caused by heart diseases will mount to 23 million cases by 2030. Hence, the use of data mining algorithms could be useful in predicting coronary artery diseases. Therefore, the present study aimed to compare the positive predictive value (PPV) of CAD using artificial neural network (ANN) and SVM algorithms and their distinction in terms of predicting CAD in the selected hospitals. METHODS: The present study was conducted by using data mining techniques. The research sample was the medical records of the patients with coronary artery disease who were hospitalized in three hospitals affiliated to AJA University of Medical Sciences between March 2016 and March 2017 (n = 1324). The dataset and the predicting variables used in this study was the same for both data mining techniques. Totally, 25 variables affecting CAD were selected and related data were extracted. After normalizing and cleaning the data, they were entered into SPSS (V23.0) and Excel 2013. Then, R 3.3.2 was used for statistical computing. RESULTS: The SVM model had lower MAPE (112.03), higher Hosmer-Lemeshow test's result (16.71), and higher sensitivity (92.23). Moreover, variables affecting CAD (74.42) yielded better goodness of fit in SVM model and provided more accurate result than the ANN model. On the other hand, since the area under the receiver operating characteristic (ROC) curve in the SVM algorithm was more than this area in ANN model, it could be concluded that SVM model had higher accuracy than the ANN model. CONCLUSION: According to the results, the SVM algorithm presented higher accuracy and better performance than the ANN model and was characterized with higher power and sensitivity. Overall, it provided a better classification for the prediction of CAD. The use of other data mining algorithms are suggested to improve the positive predictive value of the disease prediction.

Comparing the effectiveness of vitamin D plus iron vs vitamin D on depression scores in anemic females: Randomized triple-masked trial.

Background: Low levels of 25-hydroxyvitamin D (25(OH)D) have been related to depression and anxiety. It seems that anemia is associated with vitamin D deficiency. We aimed to evaluate the effects of iron-vitamin D co-supplementation versus vitamin D alone on depression scores in anemic females with low levels of serum 25-hydroxyvitamin D. Methods: This randomized controlled trial was conducted on eighty premenopausal females who were recruited between May 2015 and October 2015 from primary health care centers. Women with anemia and low concentrations of 25(OH)D were randomized to either 1000 IU/d vitamin D plus 27 mg/d iron (D-Fe) or vitamin D plus placebo supplements (D-P) for 12 weeks. Depressive and anxious symptoms were evaluated with the Beck Depression Inventory (BDI) with subscales 1-13 and 14-21 and Beck Anxiety Inventory (BAI). To compare the groups, Mann-Whitney or chi-squared tests were used and within groups comparison was performed using Wilcoxon signed ranks test. The study was registered on www.clinicaltrial.org as NC 01876563. Results: The serum concentrations of 25(OH)D were increased significantly in both groups at the end of the study. In both groups, there was a significant improvement in total BDI, the BDI subscale, and the BAI scores (p<0.001). No differences were found between groups (p>0.05). Conclusion: Although the potential positive effect of vitamin D on mental health was evident, iron plus vitamin D co-supplementation did not demonstrate any significant benefits over vitamin D alone, neither in depression score reduction nor anxiety symptoms.

Determination of effective factors on geographic distribution of the incidence of colorectal cancer in Tehran using geographically weighted Poisson regression model.

Background: This study aimed to determine effective factors on geographic distribution of the Incidence of Colorectal Cancer (CRC) in Tehran, Iran using Geographically Weighted Poisson Regression Model. Methods: This ecological study was carried out at neighborhood level of Tehran in 2017-2018. Data for CRC incidence was extracted from the population-based cancer registry data of Iran. The socioeconomic variables, risk factors and health costs were extracted from the Urban HEART Study in Tehran. Geographically weighted Poisson regression model was used for determination of the association between these variables with CRC incidence. GWR 4, Stata 14 and ArcGIS 10.3 software systems were used for statistical analysis. Results: The total number of incident CRC cases were 2815 in Tehran from 2008 to 2011, of whom, 2491 cases were successfully geocoded to the neighborhood. The median IRR for local variables were : unemployed people over 15 year old (median IRR: 1.17), women aged 17 years or older with university education (median IRR: 1.17), women head of household (median IRR: 1.06), people without insurance coverage (median IRR: 1.10), households without daily consumption of milk (median IRR: 0.85), smoking households (median IRR: 1.07), household's health expenditure (median IRR: 1.39), disease diagnosis costs (median IRR: 1.03), medicines costs of households (median IRR: 1.05), cost of the hospital (median IRR: 1.09), cost of medical visits (median IRR: 1.27). Conclusion: The spatial variability was observed for most socioeconomic variables, risk factors and health costs that had effects on CRC incidence in Tehran. Spatial variability is necessary when interpreting the results and utterly helpful for implementation of prevention programs.

The association between parental consanguinity and primary immunodeficiency diseases: A systematic review and meta-analysis.

BACKGROUND: We aimed to establish the prevalence of parental consanguinity among patients with primary immunodeficiency diseases (PID) and compare the prevalence with the general population. METHOD: We searched PubMed, EMBASE, and Scopus for studies mentioning parental consanguinity prevalence in patients with PID and calculated the prevalence odds ratio (POR) of parental consanguinity in each study, compared to a matched healthy population. RESULTS: We identified 21 eligible studies with a total population of 18091 accounting for sample overlap. The POR among studies on a sample of mixed patients with PID ranged from 0.6 to 21.9 with the pooled POR of 3.0 (p < 0.001; I2 = 89%, 95% CI: 2.5-3.7). CONCLUSION: PIDs with an autosomal recessive pattern of inheritance had significant odds of parental consanguinity compared to the healthy population, a phenomenon not observed in other inheritance patterns. Determining the extent of the impact that consanguinity imposes upon the progeny paves the way for convincing healthcare policymakers in highly consanguineous communities to act more diligently in informing the masses about the consequences of practicing inbreeding.

Relationship between personal characteristics of specialist physicians and choice of practice location in Iran.

INTRODUCTION: Uneven geographic distribution of physicians is a major healthcare issue in Iran. This study aimed to explore the relationship between personal characteristics of the recently graduated specialist physicians in Iran and their choice of practice location. METHODS: A cross-sectional study was conducted to extract information with regard to 3825 recently graduated specialist physicians from all medical schools across Iran between 2009 and 2012. The relationship between physicians' personal attributes and their desire to practise in underdeveloped areas was analyzed using χ2 test and logistic regression analysis. RESULTS: Birthplace, sex, exposure to rural practice before residency program, place of residence, and year of graduation were associated with physicians' desire to practise in an underdeveloped area. The logistic regression showed that female physicians were less likely to choose underdeveloped areas to practise as compared with their male counterparts (OR=0.659, 95%CI, 0.557-0.781, p≤0.001). Physicians who lived in underdeveloped areas were nine times more likely to choose underdeveloped areas to practise as compared with those living in other areas (OR=8.966, 95%CI, 4.717-17.041, p≤0.001). Physicians who did not have previous exposure to rural practice were 28% less likely to choose to serve in the underdeveloped areas as compared to those who had such exposure (OR=0.780, 95%CI, 0.661-0.922, p=0.004). Neither physicians' marital status nor their success in the board certification exam was associated with their choice of practice location. CONCLUSIONS: It seems that increasing the enrollment of physicians with a rural background in residency programs may solve the problem of uneven distribution of specialist physicians in Iran. Because female physicians are less willing to work in the underdeveloped areas than male physicians, increasing the number of male student admissions to residency programs, particularly in certain specialties that are more in demand in the underdeveloped areas, could alleviate the problem of uneven distribution of physicians in the short run. Further, programs that support raising the admissions of female students with a rural background into local medical universities along with providing incentives to encourage them to live and work in rural areas should be put on the policy agenda.

Artificial neural networks versus bivariate logistic regression in prediction diagnosis of patients with hypertension and diabetes.

BACKGROUND: Diabetes and hypertension are important non-communicable diseases and their prevalence is important for health authorities. The aim of this study was to determine the predictive precision of the bivariate Logistic Regression (LR) and Artificial Neutral Network (ANN) in concurrent diagnosis of diabetes and hypertension. METHODS: This cross-sectional study was performed with 12000 Iranian people in 2013 using stratified- cluster sampling. The research questionnaire included information on hypertension and diabetes and their risk factors. A perceptron ANN with two hidden layers was applied to data. To build a joint LR model and ANN, SAS 9.2 and Matlab software were used. The AUC was used to find the higher accurate model for predicting diabetes and hypertension. RESULTS: The variables of gender, type of cooking oil, physical activity, family history, age, passive smokers and obesity entered to the LR model and ANN. The odds ratios of affliction to both diabetes and hypertension is high in females, users of solid oil, with no physical activity, with positive family history, age of equal or higher than 55, passive smokers and those with obesity. The AUC for LR model and ANN were 0.78 (p=0.039) and 0.86 (p=0.046), respectively. CONCLUSION: The best model for concurrent affliction to hypertension and diabetes is ANN which has higher accuracy than the bivariate LR model.

A PRECEDE-PROCEED based educational intervention in quality of life of women-headed households in Iran.

Background: Women-headed households are more exposed to social damages than other women. Such condition remarkably influences the women's health-related life quality. The present study is aimed to investigate the effect of an educational intervention in quality of life of women-headed households under protection of Tehran Welfare Organization, in 2015. Methods: In this quasi-experimental study with control group, 180 women-headed households participated. Sampling method was random allocation. Data collection tools were Life Quality standard questionnaire (WHOQOL-BREF) and a researcher-made questionnaire about structures of ecological and educational diagnosis phase of PRECEDE-PROCEED model. Validity and reliability of the questionnaire approved in a primary study. Based on the results obtained from the primary study, the intervention was performed in the case group only. Participants were followed one and three months after intervention. Data were analyzed through SPSS v. 15 software using descriptive and analytical tests. Results: Before intervention no significant difference was observed among the mean scores of life quality, behavioral factors, and knowledge, enabling, and reinforcing factors in the two groups. But, one month and three months after intervention a significant difference was observed between the mean scores of these variables (in five instances p<0.001). Conclusion: Intervention through the PRECEDE-PROCEED model improved the women-headed households' quality of life. The innovation of this study is using such intervention on quality of life in women-headed households for the first time.

Zero inflated Poisson and negative binomial regression models: application in education.

BACKGROUND: The number of failed courses and semesters in students are indicators of their performance. These amounts have zero inflated (ZI) distributions. Using ZI Poisson and negative binomial distributions we can model these count data to find the associated factors and estimate the parameters. This study aims at to investigate the important factors related to the educational performance of students. METHODS: This cross-sectional study performed in 2008-2009 at Iran University of Medical Sciences (IUMS) with a population of almost 6000 students, 670 students selected using stratified random sampling. The educational and demographical data were collected using the University records. The study design was approved at IUMS and the students' data kept confidential. The descriptive statistics and ZI Poisson and negative binomial regressions were used to analyze the data. The data were analyzed using STATA. RESULTS: In the number of failed semesters, Poisson and negative binomial distributions with ZI, students' total average and quota system had the most roles. For the number of failed courses, total average, and being in undergraduate or master levels had the most effect in both models. CONCLUSION: In all models the total average have the most effect on the number of failed courses or semesters. The next important factor is quota system in failed semester and undergraduate and master levels in failed courses. Therefore, average has an important inverse effect on the numbers of failed courses and semester.

Application of Rasch model for evaluating the quality of life in blind war veterans.

UNLABELLED: Background Quality of life evaluates the general well-being of individuals and it can be considered as one of the important aspects in programming and giving service to disabled people. Blindness is one of the most important kinds of physical disability that has a direct effect on quality of life, so this study aimed to explore how war blindness influences the quality of life. METHODS: In this cross-sectional study, data from 71 blind war (Iran-Iraq) veterans in 2010 were collected using the Short Form Health Survey instrument (SF36). Rasch model was fitted by running WINSTEPS software and then item parameter (ß), i.e. difficulty of items, and person parameter ([Formula: see text] ), i.e. the ability or attainment level of respondents, were estimated. RESULTS: In a total of 71 cases, 69 cases (97 %) were male with a mean (±SD ) age and blindness duration range of 48.97 (±10.655) yrs and 25.74 (±3.692) yrs, respectively. Item difficulty ranged from 2.962 to 4.441. Comparison of the SF36 scores and Rasch measurements showed that standard error of Rasch model estimates in physical and total scores are less than SF36 scores. CONCLUSION: Due to the advantages and higher accuracy of the Rasch model, using this model can be a good alternative for the traditional models. With due regard to the relative low quality of life of blind war veterans in this study and other similar study, further investigation are recommended to be carried out to this group of society.