Relationship between perceived social support and disability with the mediating role of perceived stress among older adults.

BACKGROUND: Social support is essential for individuals to cope with difficult circumstances. Older adults with disabilities face significant challenges in engaging with everyday activities. The current study examines the mediating role of perceived stress in the association between perceived social support and disability among Iranian community-dwelling older adults. METHODS: In this descriptive and cross-sectional study, 300 older adults were selected using cluster sampling from January to June 2022. The data were collected using the Multidimensional Scale of Perceived Social Support (MSPSS), the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2), and the Cohen Perceived Stress Scale-14 (PSS-14). The collected data was analyzed using structural equation modeling (SEM) in Mplus. RESULTS: The mean age of older adults was 68.71 ± 6.13 years, ranging from 60 to 85 years old. The results of this study revealed a significant relationship between perceived social support and disability (ß=-0.20, SE = 0.06, p < 0.001) and perceived stress and disability (ß = 0.50, SE = 0.05, p < 0.001). The results also confirmed the mediating role of perceived stress in the relationship between perceived social support and disability (ß=-0.17, SE = 0.03, p < 0.001). CONCLUSION: The results indicated that increasing social support could reduce disability by decreasing perceived stress. These results have important implications for policymakers and healthcare professionals in promoting healthy aging.

The moderating role of social support in the relationship between death anxiety and resilience among dialysis patients.

BACKGROUND: Chronic Kidney Disease (CKD) who receive social support can cope with the challenges. Therefore, this study determined the moderating role of social support in the relationship between death anxiety and resilience among dialysis patients in Qazvin City. METHODS: This cross-sectional study used a descriptive-analytical approach on 347 dialysis patients in Qazvin City. The data collection tools included several questionnaires. The convenience sampling method was employed. The data were analyzed using SPSS software version 22 and mplus software version 7.2, employing descriptive statistics, such as mean and standard deviation for continuous variables and using counts and percentages for categorical/nominal variables. Regression analysis and tests were used to examine the relationships between variables. Structural Equation Modeling (SEM) analysis was employed to determine direct and indirect relationships between independent and dependent variables. RESULTS: The prevalence of death anxiety was high (48.3%) among the patients. The mean resilience score was 62.59 ± 15.69, and the mean social support score was 52.23 ± 10.21. There was a significant association between resilience and social support (P < 0.001), as well as between resilience and death anxiety (P < 0.001). Furthermore, a significant relationship was observed between social support and death anxiety (p = 0.015). In the analysis of SEM, both the direct and indirect relationships between resilience and death anxiety were significant through the mediating variable of social support. CONCLUSION: This study demonstrates that there is a relationship between death anxiety and resilience, and social support significantly moderates the relationship between death anxiety and resilience.

Investigating the Effect of Welding Fume in Pulmonary Function of Welders in an Automobile Industry.

Context: Respiratory exposure to welding fumes directly or indirectly, in the long run, can lead to systematic effects among welders. Aims: This study aimed to investigate respiratory symptoms and pulmonary function parameters among welders working in the automotive industry. Material and Methods: This cross-sectional study was performed among 2304 workers from two groups in the manufacturing and administrative staff (as exposure and control groups). Pulmonary function parameters and respiratory symptoms were collected through periodic spirometry examinations and a standard respiratory symptoms questionnaire. Exposure to welding fumes was obtained from the annual measurement data based on the NIOSH7300 method. Data were analyzed using SPSS software version 22 and linear and multiple regression statistical tests. Results: The mean age of the subjects in the case and control groups were 37.5 and 38.5 years, respectively. All the apparent symptoms of respiratory diseases (cough, sputum) in the welder's group were more than in the control group. Also, there was a significant difference between the respiratory symptoms in the two groups (P < 0.001). The mean value of all spirometric parameters (FVC, FEV1, FEV1/FVC, FEF25-75, PEF) in the case group (welders) was significantly lower than the control group. Conclusion: The results of this study revealed that the variables of age and work experience effectively reduce all spirometric parameters of welders. Also, regarding the effect of metal vapors, a significant relationship has been seen between Cu in welding fume and FEF25-75 and FEV1 spirometric parameters.

The Impact of Socioeconomic Inequality on Mental Health among Adolescents in Qazvin, Iran: Blinder-Oaxaca Decomposition Method.

Background: Mental health is integral to public health in adolescents. Although previous studies have shown that low socioeconomic status (SES) is associated with mental disorders (MD), it is unclear which mental health domains are most important. Thus, our study aimed to investigate the associations between 5 domains of mental disorder and SES inequality in adolescents. Methods: We conducted a cross-sectional study among adolescents (N = 1724). Associations between SES inequality with mental disorders, such as emotional symptoms, conduct problems, hyperactivity, peer relationship problems, and prosocial behavior, were examined. We used the concentration index (CI) to determine inequality. The gap between the low and high socioeconomic groups was decomposed into its determinants using the Blinder-Oaxaca decomposition method. Results: Mental health's overall CI was -0.085 (P ˂ 0.001). The emotional problem was primarily caused by SES inequality (-0.094 [P = 0.004]). Decomposition of the gap between the 2 economic groups showed that physical activity, school performance, exercise, parents' smoking status, and gender were the most important determinants of inequality. Conclusion: SES inequality plays a vital role in adolescents' mental health. It seems that the emotional problem domain of mental health might be more amenable to interventions than other domains.

Prevalence and the affecting factors on depression, anxiety and stress (DASS) among elders in Qazvin City, in the Northwest of Iran.

BACKGROUND: Depression, anxiety, and stress are among the most common mental health disorders of the elderly that affect the health of individuals and society. Considering the growing trend of the elderly population in Iran, this study aimed to determine the prevalence of these disorders and to identify the factors affecting them in the elderly. METHODS: We conducted this cross-sectional study using cluster random sampling on 301 elderly people referred to Qazvin health centers. Data was collected using the Depression, Anxiety, Stress Scale 21 (DASS-21) questionnaire and analyzed through univariate and multivariate linear regression tests with the interaction between variables in STATA Version 14 software. A P-value of less than 0.05 was significant. RESULTS: The prevalence of depression was 45.5%, anxiety 35.5%, and stress 40.2%. Our findings showed that 22.9%, 7.9%, and 14.3% of people had severe and very severe levels of depression, anxiety, and stress. The variables of age, comorbidity, living status and job status had a significant relationship with the DASS score (p < 0.05). There was an interaction between the variables of comorbidity and income status influencing the DASS score (ß = 0.68, 95% CI 0.15, 1.22). CONCLUSION: The prevalence of depression, anxiety and stress in the elderly was high, indicating the inappropriate status of their mental health. Therefore, it is necessary to take operational steps to reduce some problems in the elderly, prioritize the elderly suffering from concurrent diseases, the unemployed elderly, those who do not have a certain income, and the elderly who live alone.

Food insecurity status and its contributing factors in slums' dwellers of southwest Iran, 2021: a cross-sectional study.

BACKGROUND: One major factor causing food insecurity is believed to be poverty. Approximately 20 million Iranians live in slums with a vulnerable socioeconomic context. The outbreak of COVID-19, on top of the economic sanctions against Iran, has increased this vulnerability and made its inhabitants prone to food insecurity. The current study investigates food insecurity and its associated socioeconomic factors among slum residents of Shiraz, southwest Iran. METHODS: Random cluster sampling was used to select the participants in this cross-sectional study. The heads of the households completed the validated Household Food Insecurity Access Scale questionnaire to assess food insecurity. Univariate analysis was utilized to calculate the unadjusted associations between the study variables. Moreover, a multiple logistic regression model was employed to determine the adjusted association of each independent variable with the food insecurity risk. RESULTS: Among the 1227 households, the prevalence of food insecurity was 87.20%, with 53.87% experiencing moderate and 33.33% experiencing severe food insecurity. A significant relationship was observed between socioeconomic status and food insecurity, indicating that people with low socioeconomic status are more prone to food insecurity (P < 0.001). CONCLUSIONS: The current study revealed that food insecurity is highly prevalent in slum areas of southwest Iran. The socioeconomic status of households was the most important determinant of food insecurity among them. Noticeably, the coincidence of the COVID-19 pandemic with the economic crisis in Iran has amplified the poverty and food insecurity cycle. Hence, the government should consider equity-based interventions to reduce poverty and its related outcomes on food security. Furthermore, NGOs, charities, and governmental organizations should focus on local community-oriented programs to make basic food baskets available for the most vulnerable households.

Ivermectin-Induced Clinical Improvement and Alleviation of Significant Symptoms of COVID-19 Outpatients: A Cross-Sectional Study.

Although several drugs have been proposed and used to treat the COVID-19 virus, but recent clinical trials have concentrated on ivermectin. It appears that ivermectin can potentially act against COVID-19 and stop the development in its infancy. The purpose of this study was to determine the effect of ivermectin on the recovery of outpatients with COVID-19. In this cross-sectional study, we compared the symptoms reduction in COVID-19 disease in two groups of patients by administering ivermectin. A total of 347 mild outpatients in the Iranian provinces of Qazvin and Khuzestan with a confirmed PCR were enrolled. The symptoms of outpatients with COVID-19 were analyzed using SPSS (V23). In this cross-sectional study, the sex ratio was 0.64 (female/male: 37.9/59.8) and most patients were under 50 years old (72.8%). The results of this study demonstrated a significant decrease in several COVID-19 disease symptoms, including fever, chills, dyspnea, headache, cough, fatigue, and myalgia in the group administered ivermectin compared to the control group. In addition, the odds ratio of the above symptoms was significantly lower in patients who received ivermectin than in patients who did not receive the drug (OR = 0.16, 95% CI = 0.09, 0.27).

Family clustering of SARS-CoV-2 in Qazvin, Northwest of Iran.

Background: Human infection affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been recognized as a global health concern. We report the epidemiological and clinical characteristics of patients with a familial cluster of SARS-CoV-2 from Qazvin province (located in the northwest of Iran). Methods: In this cross-sectional study, we enrolled 332 hospitalized patients that were confirmed SARS-CoV-2 diseases with laboratory-based (PT-PCR) test in Qazvin province, Iran. Having family infection transmission and subsequently, family clustering of SARS-COV-2 disease was assessed with the Generalized Estimating Equation model in patients. Results: Crude odds ratio estimates of creating family clustering of SARS-CoV-2 infection was 0.47 times [95% CI: 0.23, 0.98, p=0.045] less for female compared to the males; 2.26 [95% CI: 1.11, 4.58, p=0.024] and 2.69 [95% CI: 1.47, 4.93, p=0.001] for SARS-CoV-2 patients that had digestive and muscle pain in comparison with those did not this mentioned symptoms, respectively. 1.52 [95% CI: 1.05, 2.23, p=0.024] for patients with a longer hospitalization compared with patients that had shorter duration of hospitalization and adjusted odds ratio estimates were 2.13 [95% CI: 1.12, 4.03, p=0.020] for patients who receive public health services in comparison those did not receive public health services. Conclusion: Our findings confirm the person-to-person transmission of this novel coronavirus in family settings and hospitals, and the reports of infected travelers in other geographical regions. Major gaps in our knowledge about the potential factors in creating family clustering of SARS-CoV-2 infection, epidemiology, duration of human transmission and etc. need fulfillment by future studies.

Predictive factors of Quality of Life in older adults during the COVID-19 pandemic.

BACKGROUND: Given the vulnerability of older people to COVID-19, it is important to consider their physical and mental wellbeing and quality of life (QoL) in the COVID-19 pandemic. Therefore, the present study was aimed to identify the QoL and its predictive factors among a sample of Iranian older adults during the COVID-19 pandemic. METHODS: This descriptive and cross-sectional study was conducted on 500 older people residing in Qazvin, Iran, from May 22th to November 21rd, 2021. Multistage cluster sampling method was used for selecting the eligible older adults. Data were collected using the demographic checklist, fear of COVID-19 scale, and Elderly Quality of Life Questionnaire (LIPAD). The multivariate regression model was used for determining the predictive factors of QoL in older people. RESULTS: The mean age of older participants was 69.17 ± 6.75 years old. The results of multivariate regression model showed that fear of COVID-19, age, marital status, level of education, living arrangement, and economic situation were the significant predictors of QoL in the older adults during the COVID-19 pandemic. CONCLUSIONS: It is recommended to pay close attention to divorced, lonely, and illiterate older people and those with low economic situation during the COVID-19 pandemic.

Validation of the Persian version of Skindex-16 among older patients with skin diseases.

BACKGROUND: Skin conditions often considerably impact the older patients' psycho-social health and quality of life (QoL). The present study was aimed to examine the validity and reliability of the Persian version of Skindex-16 among older people with skin diseases. METHODS: In this validation study, 260 older patients suffering from a range of skin conditions were recruited from a dermatology clinic in Rasht, Iran. Data were collected using a checklist for demographic and clinical characteristics and the Skindex-16 questionnaire. In this study, validity (face, content, and construct) and reliability (Cronbach's alpha) of the Skindex-16 were assessed and reported. RESULTS: The mean age of participants was 64.51 ± 5.04 years. The results of confirmatory factor analysis showed that the model had acceptable fitness into the expected three-factor structure [χ 2 /df = 249.363, P < 0.001; GFI = 0.961; TLI =0.952; RMSEA = 0.078 (90% CI = 0.06, 0.09) and SRMR = 0.06]. The reliability analysis results confirmed that the values of Cronbach's alpha coefficient for Skindex-16 were in the acceptable range (0.923). CONCLUSIONS: Our evaluation of the Skindex-16 indicates that it is reliable and a valid instrument that can be used for measuring QoL for Iranian dermatologic patients.

The real-time reproduction number, impact of interventions and prediction of the epidemic size of COVID-19 in the center of Iran.

BACKGROUND: The monitoring of reproduction number over time provides feedback on the effectiveness of interventions and on the need to intensify control efforts. Hence, we aimed to compute basic (R0) and real-time (Rt) reproduction number and predict the trend and the size of the coronavirus disease 2019 (COVID-19) outbreak in the center of Iran. MATERIALS AND METHODS: We used the 887 confirmed cases of COVID-19 from February 20, 2020, to April 17, 2020 in the center of Iran. We considered three scenarios for serial intervals (SIs) with gamma distribution. Rt was calculated by the sequential Bayesian and time-dependent methods. Based on a branching process using the Poisson distributed number of new cases per day, the daily incidence and cumulative incidence for the next 30 days were predicted. The analysis was applied in R packages 3.6.3 and STATA 12.0. RESULTS: The model shows that the Rt of COVID-19 has been decreasing since the onset of the epidemic. According to three scenarios based on different distributions of SIs in the past 58 days from the epidemic, Rt has been 1.03 (0.94, 1.14), 1.05 (0.96, 1.15), and 1.08 (0.98, 1.18) and the cumulative incidence cases will be 360 (180, 603), 388 (238, 573), and 444 (249, 707) for the next 30 days, respectively. CONCLUSION: Based on the real-time data extracted from the center of Iran, Rt has been decreasing substantially since the beginning of the epidemic, and it is expected to remain almost constant or continue to decline slightly in the next 30 days, which is consequence of the schools and universities shutting down, reduction of working hours, mass screening, and social distancing.

Age-standardized mortality rate and predictors of mortality among COVID-19 patients in Iran.

BACKGROUND: To have a thorough understanding of epidemic surveillance, it is essential to broaden our knowledge of death tolls worldwide. This study aimed to determine the age-standardized mortality rate (ASMR) and predictors of mortality among coronavirus disease 2019 (COVID-19) patients. MATERIALS AND METHODS: In this cross-sectional design, all COVID-19 patients with a positive polymerase chain reaction test in the population covered by Arak University of Medical Sciences (AUMS) were entered to the study. Data collection was conducted by phone interview. The study variables comprised age, sex, coronary heart diseases, diabetes, and some symptoms at admission. The adjusted odds ratio (OR) and 95% confidence intervals (CIs) were obtained by logistic regression. The direct method was applied to calculate ASMR (per 100,000) of COVID-19. The analysis was applied by STATA software 12.0. RESULTS: A total of 208 cases of COVID-19 (out of 3050 total infected cases) were dead and 2500 cases were recovered. The mean age of dead patients was 70 years. The COVID-19 fatality rate in the population equaled 6.8%; in those patients who were 70 years old or more, however, the case fatality rate was 16.4%. The ASMR of COVID-19 was 12.9 (CI 95%: 11.2, 14.8). The odds of COVID-19-related death in the age over 60 were 10.87 (CI 95%: 6.30, 18.75) times than lower 45 years old. Moreover, it was observed that COVID-19 significantly increased the odds of COVID-19-related death in diabetes patients (OR = 1.45, CI 95%: 1.02, 2.06, P = 0.036). CONCLUSION: The ASMR of COVID-19 was relatively higher in males than females. In general, the COVID-19 fatality rate was relatively high. We found that older age and diabetes can have impact on the death of COVID-19, but the headache was found to have a negative association with the COVID-19-related death.

Mental Health Problems and the Associated Family and School Factors in Adolescents: A Multilevel Analysis.

Objective: Mental health is one of the most important issues in adolescents' life. Adolescents' health is highly important, because of their role in the future. This study was conducted using multilevel analysis to investigate the risk factors at student and school levels. Method : This was a cross sectional study for which 1740 students and 53 schools were selected between February and March 2018 in Qazvin, Iran. Multistage stratified cluster sampling was used for data collection. Mental health problems were measured by the Strengths and Difficulties Questionnaire (SDQ). Emotional symptom, conduct problem, hyperactivity, peer relationship problem, and prosocial behavior were the subscales. This study used multilevel analysis to determine the association between each of the questionnaire scales and students and schools variables. Results: The prevalence of the mental health problems was 16.2%. Conduct problem was more prevalent than others (21.1%). Overall, the score of mental health problems was significantly lower in boys' schools, in adolescents with physical activity, and in families with high socioeconomic status. Hyperactivity and emotional symptoms were significantly higher in girls' schools. While prosocial behavior and peer relationship problems were significantly higher in boys' schools. The association between variables and the scales of mental health problems was different.Conclusion: Results indicated desirable physical activity and socioeconomic status are effective components in the adolescents' mental health, and, mostly girls' schools were more vulnerable than boys' schools. Therefore, the educational authorities and health policymakers should consider this diversity to design interventional programs and pay more attention to the high-risk adolescents in different schools.

Predicting the incidence of brucellosis in Western Iran using Markov switching model.

OBJECTIVE: Brucellosis is a zoonosis almost chronic disease. Brucellosis bacteria can remain in the environment for a long time. Thus, climate irregularities could pave the way for the survival of the bacterium brucellosis. Brucellosis is more common in men 25 to 29 years of age, in the western provinces, and in the spring months. The aim of this study is to investigate the effect of climatic factors as well as predicting the incidence of brucellosis in Qazvin province using the Markov switching model (MSM). This study is a secondary study of data collected from 2010 to 2019 in Qazvin province. The data include brucellosis cases and climatic parameters. Two state MSM with time lags of 0, 1 and 2 was fitted to the data. The Bayesian information criterion (BIC) was used to evaluate the models. RESULTS: According to the BIC, the two-state MSM with a 1-month lag is a suitable model. The month, the average-wind-speed, the minimum-temperature have a positive effect on the number of brucellosis, the age and rainfall have a negative effect. The results show that the probability of an outbreak for the third month of 2019 is 0.30%.

The role of mental health, academic stress, academic achievement, and physical activity on self-rated health among adolescents in Iran: A multilevel analysis.

BACKGROUND: Health promotion of adolescents requires appropriate evidences of its determinants. The aim of this study was to investigate predictors of self-rated health (SRH) among adolescents in Qazvin, Iran. MATERIALS AND METHODS: In this descriptive cross-sectional study, with a multistage sampling method, we recruited 1740 adolescents aged 12-19 years from 53 schools in Qazvin, Iran (2018). We used the Strengths and Difficulties Questionnaire and Adolescents' Academic Stress Questionnaire for data collection. The analysis was conducted using a multilevel logistic regression model. Gender, educational period, and socioeconomic status were considered as confounders. RESULTS: Almost 21% of the adolescents reported their SRH suboptimal. Suboptimal SRH was higher in girls and older adolescents. Mental health disorders and academic stress had a positive association with SRH. However, this association was negative for academic achievement and physical activity. The interaction between mental health disorders and academic stress with SRH had a significant association in a crud regression model. CONCLUSION: Mental health, academic stress, academic achievement, and physical activity were important predictors for SRH. Interventions that focus on promoting mental health, academic stress, academic achievement, and physical activity such as physical activity for 1 h and each day for 3 days per week can improve SRH in adolescents. Hence, policymakers should pay more attention to this issue in health promotion programs of adolescents.

Designing and Psychometric Evaluation of Iranian Students' Academic Stress Questionnaire (IAASQ).

BACKGROUND: Academic stress is one of the factors affecting the health of adolescents. The aim of present study was to design an academic stress questionnaire for Iranian adolescents with regard to the cultural and educational system of the country. METHODS: After reviewing the literature and identifying available tools in 2018, Iranian adolescents' views on academic stress were extracted. Similar questions have been used in other tools. According to expert opinion, the results were overviewed and the initial version was designed. The steps of content validity and instrument reliability were carried out. Internal consistency was investigated with Cronbach's alpha (α) and repeatability with Intra Class Correlation (ICC). After dividing the data into two randomized samples, exploratory factor analysis (EFA) with 899 subjects and confirmatory factor analysis (CFA) with 717 subjects were performed. The association between this tool and the Morgan and Jink's Self Efficacy Scale and the Strengths and Difficulties Questionnaire questionnaires was investigated. Data were analyzed using SPSS and Mplus softwares. RESULTS: The Iranian Adolescent Academic Stress Questionnaire (IAASQ) was designed with 57 questions. Relevancy and clarity of the whole tool were obtained as 0.81 and 0.83, respectively. In different domains, Cronbach's alpha was in the range (0.58-0.85) and ICC (0.80 (95% CI:0.66-0.90)). In the EFA, 9 factors were extracted. CFA confirmed the suitability of the model in another sample. Discriminant and convergent validity tool was approved. CONCLUSION: The IAASQ questionnaire has acceptable reliability and validity. This tool is recommended for use in related studies in the Iranian community.

Forecasting the monthly incidence rate of brucellosis in west of Iran using time series and data mining from 2010 to 2019.

BACKGROUND: The identification of statistical models for the accurate forecast and timely determination of the outbreak of infectious diseases is very important for the healthcare system. Thus, this study was conducted to assess and compare the performance of four machine-learning methods in modeling and forecasting brucellosis time series data based on climatic parameters. METHODS: In this cohort study, human brucellosis cases and climatic parameters were analyzed on a monthly basis for the Qazvin province-located in northwestern Iran- over a period of 9 years (2010-2018). The data were classified into two subsets of education (80%) and testing (20%). Artificial neural network methods (radial basis function and multilayer perceptron), support vector machine and random forest were fitted to each set. Performance analysis of the models were done using the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Root Error (MARE), and R2 criteria. RESULTS: The incidence rate of the brucellosis in Qazvin province was 27.43 per 100,000 during 2010-2019. Based on our results, the values of the RMSE (0.22), MAE (0.175), MARE (0.007) criteria were smaller for the multilayer perceptron neural network than their values in the other three models. Moreover, the R2 (0.99) value was bigger in this model. Therefore, the multilayer perceptron neural network exhibited better performance in forecasting the studied data. The average wind speed and mean temperature were the most effective climatic parameters in the incidence of this disease. CONCLUSIONS: The multilayer perceptron neural network can be used as an effective method in detecting the behavioral trend of brucellosis over time. Nevertheless, further studies focusing on the application and comparison of these methods are needed to detect the most appropriate forecast method for this disease.

Isolation Compliance and Associated Factors Among COVID-19 Patients in North-West Iran: A Cross-Sectional Study.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) has now turned into a public health emergency. Isolation of patients is a possible solution for controlling epidemic infectious diseases. We assessed the compliance of isolation and associated factors among patients with COVID-19. METHODS: This cross-sectional study was conducted on 320 COVID-19 patients discharged from hospitals of Qazvin province. Patients' isolation, self-care health behaviors, reference to public health services and possible related factors were assessed. Data were analyzed using multiple logistic regression. RESULTS: In this study, 320 patients were enrolled, including 175 men (54.7%). Two hundred and eighty-six patients (89.4%) had complete isolation. Factors such as phone tracking by health center (OR = 1.30; 95% CI: 1.01 to 1.75) and dry cough (OR = 2.36; 95% CI: 1.09 to 5.09) increased odds of complete isolation in COVID-19 patients, but having a COVID-19 patient in the family (OR = 0.32; 95% CI: 0.15 to 0.71) and symptoms of disease like shortness of breath (OR = 0.39; 95% CI: 0.18 to 0.85) and muscle pain (OR = 0.43; 95% CI: 0.20 to 0.95) decreased odds ratio for these patients. CONCLUSION: Phone tracking by the health center was the most important factor to increase the odds of patient isolation. Thus, the health system should consider improving health workers' knowledge and skills through education.

Academic Stress and Adolescents Mental Health: A Multilevel Structural Equation Modeling (MSEM) Study in Northwest of Iran.

BACKGROUND: We aimed to determine the relation of different sources of academic stress and adolescents´ mental health through mediator variables on the student and school levels. STUDY DESIGN: A cross-sectional study. METHODS: Overall, 1724 students aged 12-19 yr were selected from 53 high schools in Qazvin City, central Iran through stratified cluster sampling. The sources of academic stress include family conditions, education system, future concerns, academic competitions, interaction with teachers, school disciplines, peer pressure, parental involvement, and financial problems. Academic self-efficacy and self-concept were the mediator constructs. The students and schools´ information were considered on levels 1 and 2, respectively. A Multilevel Structural Equation Modeling (MSEM) analysis was done. RESULTS: High value of academic stress was associated with reduction of mental health. On the student level, the academic stress caused by the families 0.31 (95% CI: 0.28, 0.34), peers 0.29 (95% CI: 0.27, 0.32), and the education system 0.21 (95% CI: 0.18, 0.24) had the highest impact on the adolescents' mental health, respectively. There was a direct and indirect relation between academic stress and mental health through the self-concept. On the school level, only family conditions stress had a relation with mental health (P=0.015, b=1.08). Academic self-efficacy showed no significant relation in the model. CONCLUSION: The stress from the family is the most important source of stress associated with adolescent mental health. Self-concept unlike academic self-efficacy had an important mediating role in the relation between different sources of academic stress and adolescents' mental health.

Epidemiologic assessment of self-concept and academic self-efficacy in Iranian high school students: Multilevel analysis.

INTRODUCTION: In social cognitive theory, self-efficacy and self-concept (SC) have been introduced as important constructs that associate with adolescents' achievements. The aim of this study was to investigate the determinant factors of academic self-efficacy (ASE) and SC in Iranian high school students based on the multilevel analysis. MATERIALS AND METHODS: In this descriptive-analytical cross-sectional study, 1740 students from 53 high schools selected with stratified random sampling method in 2018 in Qazvin, Iran. Data collection tools were the Morgan and Jinks Self-Efficacy Scale and the Piers-Harris Children's SC Scale-Second Edition. The association between some of the students and school variables with ASE and SC was analyzed by hierarchical linear regression models. RESULTS: The score of the students' standardized ASE was lower than SC. ASE and SC had a strong positive significant association with economic status, grade point average, and the educational period of high school. Sex had no association with any of them. Physical activity had a positive significant association with SC but was no found association by ASE. CONCLUSION: These findings revealed that for improving the adolescents' ASE and SC should be attention to the adolescents' family condition and school-related factors. Proper educational, sports, and supportive programs can be effective on the adolescents' self-efficacy and SC.