Physical Activity and Well-being Status among Employees of University of Medical Sciences.

Background: Workplace physical activity plays an important role in employees' health. As university employees are a population at risk for a sedentary working pattern, this study aimed to investigate the physical activity status of employees of Iran University of Medical Sciences (IUMS) and its subsequent effects on their well-being. Methods: This cross-sectional study included 472 employees from different units of IUMS in Tehran. The participants were selected by a multistage sampling method. Interviews were conducted by using an international physical activity questionnaire, a questionnaire for stages of behavioral change, the World Health Organization Well-being Questionnaire, and a demographic checklist from July to October 2019. Analysis of variance, t test, and logistic regression analysis were used. Data were analyzed using IBM SPSS (Version 21.0). Results: Total physical activity in the study population was 6216.58 ± 5886.09 MET-minutes/week. The mean score of the well-being index was 54.72 ± 22.4; there was an association between sex and location of work with physical activity in domains (p<0.05). The highest prevalence rates for change of stage of physical activity were found in the maintenance stage for men and the contemplation stage for women. There was a significant difference between men and women's well-being index-men reported being more active and energetic than women (p<0.001). Results also revealed that having vigorous physical activity compared with a moderate level could increase the well-being index. Conclusion: Physical activity behavior at the workplace was associated with well-being level. It could, therefore, be postulated that enhancing physical activity may be beneficial to improving well-being in an academic environment.

Progress towards Every Newborn Action Plan (ENAP) implementation in Iran: obstacles and bottlenecks.

BACKGROUND: Neonatal mortality accounts for more than 47% of deaths among children under five globally but proper care at and around the time of birth could prevent about two-thirds of these deaths. The Every Newborn Action Plan (ENAP) offers a plan and vision to improve and achieve equitable and high-quality care for mothers and newborns. We applied the bottleneck analysis tool offered by ENAP to identify obstacles and bottlenecks hindering the scale-up of newborn care across seven health system building blocks. METHODS: We applied the every newborn bottleneck analysis tool to identify obstacles hindering the scale-up of newborn care across seven health system building blocks. We used qualitative methods to collect data from five medical universities and their corresponding hospitals in three provinces. We also interviewed other national experts, key informants, and stakeholders in neonatal care. In addition, we reviewed and qualitatively analyzed the performance report of neonatal care and services from 16 medical universities around the country. RESULTS: We identified many challenges and bottlenecks in the scale-up of newborn care in Iran. The major obstacles included but were not limited to the lack of a single leading and governing entity for newborn care, insufficient financial resources for neonatal care services, insufficient number of skilled health professionals, and inadequate patient transfer. CONCLUSIONS: To address identified bottlenecks in neonatal health care in Iran, some of our recommendations were as follows: establishing a single national authorizing and leading entity, allocating specific budget to newborn care, matching high-quality neonatal health care providers to the needs of all urban and rural areas, maintaining clear policies on the distribution of NICUs to minimize the need for patient transfer, and using the available and reliable private sector NICU ambulances for safe patient transfer.

The prevalence of attention deficit hyperactivity disorder in Iran: An updated systematic review.

Background: Attention deficit hyperactivity disorder (ADHD) is among the most common neurodevelopmental disorders in children and adolescents. There is a controversy over the true prevalence of ADHD in Iran, the knowledge of which is crucial for allocating health care resources and identifying research priorities. This is an updated systematic review of the prevalence of ADHD in Iranian children and adolescents. Methods: For this systematic review, PubMed/Medline, Web of Science, Scopus, PsycINFO, IranPsych, IranMedex, Irandoc, Google Scholar, and grey literature were reached for publications between January 1990 and December 2018 that reported prevalence estimates of ADHD in Iran. Parallel independent assessments were conducted. The Quality Assessment Checklist for Prevalence Studies was used to assess the overall quality of studies. Results: A total of 34 original studies covering 33 621 Iranian children, adolescents, and adults were included. The included studies were mostly conducted on the population of preschool, elementary, middle, and high school-aged children as well as adolescents. Also, 6 studies addressed university students. Prevalence estimates of ADHD reported varied substantially across the studies and offered a range of heterogeneous data. Conclusion: Overall, making exact comparisons among studies was not easy because the assessment method and the type of sampling could impact prevalence estimates. These factors need to be considered when comparing data from different studies.

Prevalence and Socio-Demographic Correlates of Mental Health Problems Among Iranian Health Sciences Students.

OBJECTIVE: The primary objective of the present study was to compare the mental health status of Iranian medical vs other health sciences students and to examine how demographic factors relate to their mental health problems. METHODS: A total of 560 medical and other health sciences students (250 (44.6%) males and 310 (55.4%) females) were recruited from Iran University of Medical Sciences. Data were obtained by self-administered questionnaire, including questions on socio-demographic characteristics. The Beck Depression Inventory, Beck Anxiety Inventory, General Health Questionnaire, and WHO well-being index were used to assess mental health status of students. RESULTS: Ten percent of students had BDI scores consistent with clinically significant depression (6.6% mild, 1.8% moderate, 1.6% severe), and 28.7% had BAI scores consistent with clinically significant anxiety (20.7% mild, 7.1% moderate, 0.9% severe). Kurdish students had an odds ratio (OR) of 2.71 (95% CL, 1.22-6.02) for mild to severe depression symptoms when compared to Persian students. The prevalence of distressed health sciences students and poor psychological well-being was 13.4% and 14.1%, respectively. Maternal education gave an OR of 0.57 (0.35-0.93) for anxiety symptoms, after adjustment for all other factors. The possibility of general psychiatric morbidity was significantly lower in students who studied medicine (OR, 0.40 (0.21-0.71)). Being born in the capital city was associated with better psychological well-being (OR, 0.48 (0.26-0.86)). CONCLUSIONS: Ethnicity, birthplace, discipline, and maternal educational level were major determinants of mental health status among health sciences students. Further research should be undertaken to determine the prevalence of psychological disorders using more reliable diagnostic interview.

Stillbirth in Iran and associated factors (2014-2016): A population-based study.

Background: Under Every Newborn Action Plan (ENAP), stillbirth rate in every country should be reduced by 12 or fewer per 1000 total births by 2030. The aims of this study were to determine stillbirth rate at national and subnational levels and to investigate its associated risk factors in Iran. Methods: Using all data from Iranian Maternal and Neonatal Network (IMaN), we calculated stillbirth rate of Iran from 2014-2016. This network registers information of almost all births across the country. The logistic regression was used to estimate the adjusted odds ratio (aOR) with 95% confidence intervals (CIs) for stillbirth. Results: In 2014, still birth rate was 7.40 per 1000 births. In 2015 and 2016, stillbirth rates were 7.22 per 1000 births and 7.63 per 1000 births, respectively. The most important related factors of stillbirth were preterm birth (aOR= 62.53, 95% CI; 60.77-64.34), sexual ambiguity (aOR= 14.51, 95% CI; 12.76-16.50), and post term birth (aOR= 3.31, 95% CI; 2.66-4.13). Conclusion: Under Every Newborn Action Plan (ENAP), stillbirth rate in every country should be reduced by 12 or fewer per 1000 total births by 2030. Iran has achieved stillbirth target of ENAP at national level. It is important for the health care system to establish and improve specific and focused policies, interventions, and programs for achieving this target even in the most deprived areas.

Prediction of Diabetes Using Data Mining and Machine Learning Algorithms: A Cross-Sectional Study.

OBJECTIVES: This study aimed to develop a model to predict fasting blood glucose status using machine learning and data mining, since the early diagnosis and treatment of diabetes can improve outcomes and quality of life. METHODS: This crosssectional study analyzed data from 3376 adults over 30 years old at 16 comprehensive health service centers in Tehran, Iran who participated in a diabetes screening program. The dataset was balanced using random sampling and the synthetic minority over-sampling technique (SMOTE). The dataset was split into training set (80%) and test set (20%). Shapley values were calculated to select the most important features. Noise analysis was performed by adding Gaussian noise to the numerical features to evaluate the robustness of feature importance. Five different machine learning algorithms, including CatBoost, random forest, XGBoost, logistic regression, and an artificial neural network, were used to model the dataset. Accuracy, sensitivity, specificity, accuracy, the F1-score, and the area under the curve were used to evaluate the model. RESULTS: Age, waist-to-hip ratio, body mass index, and systolic blood pressure were the most important factors for predicting fasting blood glucose status. Though the models achieved similar predictive ability, the CatBoost model performed slightly better overall with 0.737 area under the curve (AUC). CONCLUSIONS: A gradient boosted decision tree model accurately identified the most important risk factors related to diabetes. Age, waist-to-hip ratio, body mass index, and systolic blood pressure were the most important risk factors for diabetes, respectively. This model can support planning for diabetes management and prevention.

Predictors of COVID-19 vaccine uptake among people who use substances: a case study in Tehran.

BACKGROUND: Vaccination is one of the most effective ways to manage infectious disease epidemics such as Covid-19. However, the low rates of vaccination in populations at risk including people using illicit substances, hinders the effectiveness of preventive vaccines in reducing transmission. The aim of this study was to investigate the rate of Covid-19 vaccination and its related factors among people who use substances in Tehran, Iran. METHODS: Between July and December 2022, 386 people who use substances aged ≥ 18 years old were recruited by convenience street-based sampling in Tehran. The outcome variable in this study was self-reported completion of at least two doses of the Covid-19 vaccine. Logistic regression was used to investigate the factors related to Covid-19 vaccination. Data were analyzed using SPSS software version 20 at the 0.05 level of significance. As a measure of risk, 95% Confidence interval (CI) was used. The level of significance was considered at 0.05. RESULTS: Almost three-quarters (n = 286) of the participants reported receiving at least two doses of the Covid-19 vaccine (95% CI, 70.2-79.3). Those participants with high school diplomas were 1.17 times more likely than less educated participants to report having had 2 vaccinations (OR of 1.17, CI 95%: 1.03-1.81). Participants with a higher mean score of having a positive attitude towards Covid-19 vaccination were more likely to have received a vaccination (OR of 1.12, CI 95%: 1.08-1.17). Ethnicity was also an influential variable, people with non-Fars ethnicity were less likely to be vaccinated than those of Fars ethnicity (OR of 0.33, CI 95%: 0.13-0.81). People with higher-than-average monthly income were more likely to report vaccination than those with low monthly incomes (OR of 1.27, CI 95%: 1.09-1.8). Also, participants reporting less access to vaccination centers had a lower chance of reporting having been vaccinated than those who reported high access to vaccination centers (OR of .17, CI 95%: .08-.36). CONCLUSIONS: Covid-19 vaccine uptake was found to be relatively high among people using illicit substances in this study. Higher levels of education, Fars ethnicity, higher income levels, having a positive attitude towards vaccination and access to vaccination centers were the most important predictors of Covid-19 vaccination in this study.

Factors affecting the physical activity of healthcare workers of Iran University of Medical Sciences: a qualitative study.

BACKGROUND: Low physical activity in adulthood is a major public health challenge. The majority of adults spend many hours each week at work, and workplace thus becomes a suitable location in which to promote health and implement physical activity programs. This qualitative study was conducted to identify the barriers and facilitators of worksite physical activity from the perspective of the employees of Iran University of Medical Sciences. METHODS: In this qualitative thematic analysis, five focus group discussions were held with the participation of 68 staff members of Iran University of Medical Sciences who had been selected by purposive sampling with maximum diversity. RESULTS: The analysis of the data led to the identification of three general themes, including challenges and barriers, strategies, and incentives (facilitators). The four main categories of challenges and barriers included policy-making and legislation, organizational factors, structural factors, and personal factors. Most barriers identified by the participants were placed in the personal factors and organizational factors categories. The strategies for increasing physical activity were identified in the following three categories: Policy-making and legislation, organizational factors, and environmental factors. The majority of the strategies proposed were placed in the organizational factors and policy-making and legislation categories. CONCLUSIONS: Increasing physical activity in the workplace as a strategy for the general promotion of physical activity in people requires interventions in different areas, especially with regard to organizational factors and policy-making and legislation.

Workplace interventions for increasing physical activity in employees: A systematic review.

BACKGROUND: There is scattered evidence of the impact of workplace interventions in improving employees' physical activity. This systematic review was performed to evaluate the strategies of workplace interventions and their effectiveness, as reported in primary studies. METHOD: Primary experimental trials, both randomized controlled trials (RCTs) and non-RCTs, which examined interventions to increase healthy adult employees' physical activity were included in this review. Studies in English or Persian published between 2009 and 2019 with access to full text of resources were considered. Google Scholar, PubMed, Web of Science, Scopus and Cochrane Library, ProQuest (Thesis) and World Health Organization Clinical Trial Registration Databases and Persian databases such as SID, Magiran, IranMedex, Irandoc were searched. All the stages of review were conducted based on PRISMA. RoB and ROBINS-I were used to assess the risk of bias of the primary studies. RESULTS: Thirty-nine studies, with a total of 18 494 participants, met the inclusion criteria. Of these, 22 were RCTs, 17 were non-RCTs. Effective interventions were reported in 15 RCTs and 14 non-RCTs. Four main strategies of interventions were identified, consisting of motivation and support; monitoring and feedback; information and education; and activity. Thirteen different behavior change techniques (BCT) were identified with self-determination theory (SDT) being the most frequent behavior change theory used. CONCLUSION: It seems that a multi-strategy intervention that one of the strategies of which is physical activity in the workplace (Activity), the use of behavioral change theories, especially SDT, may be indicative of a more effective intervention. It is recommended that BCTs be considered when designing physical activity interventions.

50 bp deletion in promoter superoxide dismutase 1 gene and increasing risk of cardiovascular disease in Mashhad stroke and heart atherosclerotic disorder cohort study.

Cardiovascular disease (CVD), one of the main mortality causes worldwide is considered to be affected by general oxidative stress and inadequacy antioxidant system. Superoxide dismutase 1 (SOD1), a cytosolic antioxidant enzyme has a key role in neutralizing the excessive prooxidant by scavenging the super oxide anions. SOD1 polymorphic variants exhibit the altered activity properties. In the current study, we are aimed to investigate the association between the SOD1 polymorphism and CVD prevalence. A 6-years case control follow up study was designed to genotype the 526 participants (311 controls and 215 cases) for studying the 50 bp INS/DEL polymorphism at SOD1 promoter gene and analyze their blood lipid profile and anthropometric characteristics. Among the two possible alleles of the SOD1 gene (Wild [W] and Mutant [M]) the meaningful association was detected between the Mutants' frequency and the prevalence of CVD patients (p-value <.001). The W and M allele refer to inserted and deleted 50 bp in the polymorphic site of the SOD1 promoter, respectively. The WM and MM genotypes' frequency which indicate the wild heterozygotes and Mutant homozygotes, respectively, were significantly correlated with the prevalence of cardiovascular disease (p-value <.001). The present study has the potential to introduce the 50 bp INS/DEL polymorphism of SOD1 genotyping as a novel unique diagnostic approach for screening the high risk CVD.

Altered serum Zinc and Copper in Iranian Adults who were of normal weight but metabolically obese.

Metabolically obese normal weight (MONW) individuals are potentially at increased risk of developing metabolic syndrome. Serum zinc and copper concentrations were assessed in individuals with MONW to determine whether MONW is associated with altered serum zinc and/or copper status. Normal weight subjects (total n = 2419; 1298 men and 1121 women), were recruited as part of Mashhad Stroke and Heart Association Disorder (MASHAD) Study cohort. They were divided into two groups according to the presence or absence of MetS, defined using IDF criteria. Serum zinc and copper concentrations were determined by atomic absorption. Of the 2419 normal weight adults, 377 had MetS. Of this group, 53.7% and 49.7% had a serum zinc <70 µg/dl (Q1) (p = 0.001) or a serum copper <79 µg/dl (Q1) respectively. Furthermore, 27.3% had a serum copper >131 µg/dl (Q4) (p = 0.034), and 18.8% had a serum zinc >95 µg/dl (Q4). Logistic regression analysis was performed to determine the odds ratio (OR) for an association of serum zinc, copper and zinc to copper ratio with MetS in normal weight subjects. The subjects with a serum zinc >95 µg/dl (Q4) had 0.386 [OR: 0.614(95%CI 0.457-0.823)] lower chance of MetS (p = 0.001) and the subjects with a serum copper >131 (Q4) had OR 1.423 (95% CI: 1.09-1.857) higher chance of MetS (p = 0.009). These data remained significant after adjustment for age and sex, for serum zinc and copper, respectively. Furthermore, our results strongly suggested that zinc and copper were the independent risk factor for metabolic syndrome in normal weight subjects. There is an imbalance between serum copper and zinc concentrations among individuals with MONW when compared with normal BMI individuals without MetS. This may increase the risk of individuals with MONW developing conditions associated with this imbalance, such as diabetes and cardiovascular disease.

Association Between Trace Element Status and Depression in HTLV-1-Infected Patients: a Retrospective Cohort Study.

Depression and Anxiety are two important public health problems that are known to be associated with viral infections. The association between the intake of nutrients such as zinc and copper with symptoms of depression has been studied previously. The aim of the current study was to investigate the association between depression with human T cell lymphotropic virus type 1 (HTLV-1) infection and serum content of zinc and copper in a large Iranian population cohort. The study population consisted of 279 HTLV-1-positive patients who were identified after recruitment as part of a large cohort study: the Mashhad Stroke and Heart Association Disorder (MASHAD) study. They were divided into two groups of diagnosed with or without depression based on their symptoms. Serum zinc and copper levels of all subjects were measured using the flame atomic absorption spectrometry. The population sample comprised of 279 individuals infected with HTLV-1 of whom 192 (68.8%) were women. The mean serum zinc in the group with and without depression was 78.69 ± 13.79 µg/dl and 86.87 ± 19.44 µg/dl, respectively (p < 0.001). Also, the serum copper level was higher in the depressive group (116.75 ± 39.56) than in the non-depressive group (104.76 ± 30.77) (p 0.004). The association between serum zinc and copper with depression in HTLV-1-infected patients which was shown in this study could be considered in the treatment strategies in these patients.

Oxidative stress and inflammation, two features associated with a high percentage body fat, and that may lead to diabetes mellitus and metabolic syndrome.

Obesity is an important feature of the metabolic syndrome and is associated with an increased risk of type 2 diabetes mellitus, cardiovascular disease, and some cancers. The aim of this study was to determine the relationship between body fat percentage and an imbalance of the prooxidant/antioxidant balance (PAB), serum superoxide dismutase (SOD1) and inflammation (serum hs-CRP) and increase risk of metabolic syndrome and diabetes mellitus. In this study, 9154 individuals were recruited as part of the Mashhad Stroke and Heart Association Disorder (MASHAD) study. Subjects were categorized into two groups according to body fat percentage as defined >25% in male and > 30% in female, according to gender. Biochemical factors, including serum PAB, SOD1, and hs-CRP were measured in all subjects. SPSS version 18 was used for statistical analyses for all. GraphPad Prism 6 for figures was used. Of total number of subjects (9154), 6748 (73.7%) were found to have a high body fat (BF) percentage. Serum hs-CRP and PAB were significantly higher in individuals with a high BF percentage (P < 0.05) but SOD1 was not significantly different between the two groups (P > 0.05). BF percentage, serum PAB and serum hs-CRP were significantly higher in individuals with metabolic syndrome and diabetes versus those without metabolic syndrome and diabetes mellitus (P < 0.05), however serum SOD1 was significantly lower in individuals with metabolic syndrome (P < 0.005). Oxidative stress and inflammation are two factors that may link the presence of high BF percentage with the development of metabolic syndrome, diabetes, and cardiovascular disease. © 2018 BioFactors, 45(1):35-42, 2019.

Association Between Hypertension in Healthy Participants and Zinc and Copper Status: a Population-Based Study.

The prevalence of hypertension (HTN) is increasing globally. It has been shown that there is an association between micronutrient deficiency and HTN. In the current study, we aimed to assess the association between HTN with serum copper and zinc concentrations in a large representative Iranian population. The participants were enrolled into the Mashhad stroke and heart atherosclerotic disorders study (MASHAD study), a cohort study that was initiated in 2010. Anthropometric indices were assessed using standard procedures. Systolic (SBP) and diastolic (DBP) blood pressures were measured using a standard mercury sphygmomanometer. Fasting blood glucose (FBG), lipid profile, uric acid and blood urea nitrogen (BUN), and hs-CRP were measured using routine methods. HTN defined as persons who had SBP ≥ 130 mmHg and/or DBP ≥ 85 mmHg and/or medication use. Flame atomic absorption (Varian AA240FS) was used to measure serum Zn and Cu concentrations. SPSS software was used for all statistical analyses. A total of 9588 participants were recruited into the MASHAD study project. Participants were divided into two groups; 5695 healthy (non-hypertensive) (mean age 45.85 ± 7.5 years) and 3893 hypertensive participants (mean age 51.18 ± 7.67 years). Systolic (p < 0.001) and diastolic blood pressure (p < 0.001) were significantly different for different serum copper quartiles. The participants with serum copper levels < 80 µg/dl had 1.33 times greater risk of an increased blood pressure than other participants. Participants with serum copper levels > 130 µg/dl had a 1.94-fold higher risk of raised blood pressure. Serum zinc was not associated with systolic blood pressure, but individuals in the first quartile level of serum zinc had a diastolic blood pressure that was significantly higher than other quartiles (p = 0.035). Serum copper is associated with blood pressure status in adults in a U-shaped relationship, with a range of serum copper between 80 and 130 µg/dl being associated with normal blood pressure.

Patients' Satisfaction with the Diabetes Control and Prevention Program in Tehran, Iran: A Cross Sectional Study.

BACKGROUND: Although diabetes control and prevention program has been initiated in Tehran, Iran and five other large cities in the country since 2010, patients' satisfaction with the services provided by this program has not been evaluated yet. The aim of this study was to determine the patient satisfaction with this program in Tehran. METHODS: This cross-sectional study, were conducted in 15 primary health care centers in Tehran, Iran in 2013. We enrolled 386 people aged older than 30 yr referred to primary health care centers. A questionnaire was used to evaluate the degree of patients' satisfaction with the services (the questionnaire included six domains: access to services, continuity of care, the humanness of staff, provision of health education materials, effectiveness of services, comprehensiveness of care). The chi-square test, independent t test and one-way ANOVA were used for data analysis. RESULTS: Overall, 239 patients (62%) were female. The mean age (SD) of the patients was 51±11 yr. Overall, 263 patients (68%) were highly satisfied with providing services. The highest levels of patients' satisfaction were in the domains of continuity of care, the humanness of staff, and effectiveness of services. The lowest level of satisfaction was in the domain of provision of health education materials. CONCLUSIONS: Diabetes control and prevention program seems to be a suitable program in health care centers in Tehran, however, it is necessary to make further plans to improve the level of training materials provided to patients and comprehensiveness of care.

Inpatient data, inevitable need for policy making at national and sub-national levels: a lesson learned from NASBOD.

BACKGROUND: Estimating burden of disease, injuries and risk factors is crucial for health policy decision making. The Burden of Diseases (BoD) studies provide data about the magnitude and distribution of health problems among the population at national and sub-national levels. The BoD studies are designed to use secondary data for estimating prevalence and incidence of diseases, injuries and risk factors. However, due to the scarcity of data sometimes it becomes unavoidable to collect data from medical records. Among all needed source of data, including surveys, registries, censuses, inpatient and outpatient data, hospital data are an essential source for BoD studies. Hospital Data Survey (HDS) aims to estimate the prevalence and incidence of diseases and injuries that led to admission to hospitals. This paper aims to describe the required steps for data gathering, sampling, analytical methods, and other needed procedures for HDS. STUDY DESIGN: The designed questionnaire includes demographic data, current health status, diseases, injuries and co-morbidities with their ICD10 codes, curative procedures, and treatment. A pilot study was conducted on 302 medical records from 6 hospitals to evaluate the validity and reliability of the questionnaire. Sampling frame was designed and probability proportional was used after being tested in the pilot study. In the next step, we will collect 367500 medical files from 863 hospitals (0.5% of all inpatient records in hospitals from1996 - 2013). The HDS is the first national study in Iran that is gathering data through an online-offline web-based system based on electronic version of the questionnaire which makes the process of data cleaning and analyses more comfortable.

Comparison of two data mining techniques in labeling diagnosis to Iranian pharmacy claim dataset: artificial neural network (ANN) versus decision tree model.

BACKGROUND: This study aimed to evaluate and compare the prediction accuracy of two data mining techniques, including decision tree and neural network models in labeling diagnosis to gastrointestinal prescriptions in Iran. METHODS: This study was conducted in three phases: data preparation, training phase, and testing phase. A sample from a database consisting of 23 million pharmacy insurance claim records, from 2004 to 2011 was used, in which a total of 330 prescriptions were assessed and used to train and test the models simultaneously. In the training phase, the selected prescriptions were assessed by both a physician and a pharmacist separately and assigned a diagnosis. To test the performance of each model, a k-fold stratified cross validation was conducted in addition to measuring their sensitivity and specificity. RESULT: Generally, two methods had very similar accuracies. Considering the weighted average of true positive rate (sensitivity) and true negative rate (specificity), the decision tree had slightly higher accuracy in its ability for correct classification (83.3% and 96% versus 80.3% and 95.1%, respectively). However, when the weighted average of ROC area (AUC between each class and all other classes) was measured, the ANN displayed higher accuracies in predicting the diagnosis (93.8% compared with 90.6%). CONCLUSION: According to the result of this study, artificial neural network and decision tree model represent similar accuracy in labeling diagnosis to GI prescription.

National and sub-national prevalence, trend, and burden of mental disorders and substance abuse in Iran: 1990 - 2013, study protocol.

BACKGROUND: The measurement of population-based dimensions of mental disorders and their effects on the population health is one of the major public health concerns.  There is some evidence on the trend and point estimations of mental disease and substance abuse for many specific groups of Iranian population but there is a progressive requirement to documents on their exposure distribution at sub-national level, information about their trends, and their effects on the population health.  METHODS: The present protocol is aimed to provide the standards of data collection and methodology processes for estimating the trends of selected mental disorders and their attributed burden at national and sub-national levels. For nine categories of mental disorders, we will estimate 1990 to 2013 trends of prevalence, Years of Life Lost due to premature mortality (YLLs), and Years Lived with Disability (YLDs) and Disability-Adjusted Life Years DALYs by sex, age group, and province. We will also quantify the uncertainty intervals for the estimates of interest. CONCLUSION: The study of National and sub-national prevalence, trend, and burden of mental disorders and substance abuse in Iran provides valuable convincing evidences for policy makers and other stakeholders for more evidence-based priority setting, resource allocation, interventions, service providing, and evaluation at both national and sub-national levels. The results also could be used for future complementary global, regional, national, and sub national studies.