BACKGROUND: The harmful effects of sedative medications and substances in conjunction with limited research regarding predictive psychological constructs of drug abuse necessitate further investigation of associated factors. Therefore, the present study aimed to elucidate the roles of perceived stress, alexithymia, and psychological health as predictors of sedative abuse in medical students. METHODS: In this cross-sectional study, 548 students at Kermanshah University of Medical Sciences, Iran, were selected using stratified random sampling. The data were obtained using the Perceived Stress Scale, an alexithymia scale (Farsi version of the Toronto Alexithymia Scale-20), and a General Health Questionnaire to assess psychological health. Data were analyzed using discriminant analyses. RESULTS: The results demonstrated that the user and non-user of sedative substances groups had significantly different predictive variables (except for social function disorder) (P>0.05). Physical complaints, alexithymia, and perceived stress, which had standard coefficients of 0.80, 0.60, and -0.27, respectively, predicted sedative drug use. CONCLUSION: The results of the present study indicate that perceived stress, alexithymia, physical complaints, anxiety, and depression are associated with sedative drug abuse.
Affective Symptoms* ; Anxiety ; Cross-Sectional Studies ; Depression ; Humans ; Iran ; Students, Medical ; Substance-Related Disorders

Objectives: The purpose of this study is to examine the impact of subjective socioeconomic status and social capital on self-rated health and quality of life among a minority group in Iran. Methods: This cross-sectional study involved 800 individuals from a minority group in Iran. The sampling method was clustering, and data collection was conducted using a questionnaire. Data analysis was performed using SPSS version 18 and Stata version 8. Results: The results of logistic regression analysis revealed that subjective socioeconomic status (odds ratio [OR], 1.47; 95% confidence interval [CI], 1.34 to 1.61), belonging and empathy (OR, 1.09; 95% CI, 1.03 to 1.15), and trust (OR, 1.06; 95% CI, 1.00 to 1.13) significantly impacted the quality of life. Additionally, the logistic regression analysis for factors influencing self–rated health demonstrated significant effects for the age group of 31-50 years (OR, 0.59; 95% CI, 0.38 to 0.91), gender (OR, 0.65; 95% CI, 0.46 to 0.92), academic education (OR, 2.00; 95% CI, 1.22 to 3.26), subjective socioeconomic status (OR, 1.27; 95% CI, 1.16 to 1.38), chronic disease (OR, 4.52; 95% CI, 2.49 to 8.19), belonging and empathy (OR, 1.06; 95% CI, 1.01 to 1.11), and participation (OR, 1.12; 95% CI, 1.00 to 1.24). Conclusions The findings indicate that bonding social capital significantly influences health levels and quality of life. Focusing on delegating local responsibilities to community members and striving to promote participation in health programs, along with increasing the socioeconomic status of minority groups, can effectively improve their health and quality of life.

Objectives: The purpose of this study is to examine the impact of subjective socioeconomic status and social capital on self-rated health and quality of life among a minority group in Iran. Methods: This cross-sectional study involved 800 individuals from a minority group in Iran. The sampling method was clustering, and data collection was conducted using a questionnaire. Data analysis was performed using SPSS version 18 and Stata version 8. Results: The results of logistic regression analysis revealed that subjective socioeconomic status (odds ratio [OR], 1.47; 95% confidence interval [CI], 1.34 to 1.61), belonging and empathy (OR, 1.09; 95% CI, 1.03 to 1.15), and trust (OR, 1.06; 95% CI, 1.00 to 1.13) significantly impacted the quality of life. Additionally, the logistic regression analysis for factors influencing self–rated health demonstrated significant effects for the age group of 31-50 years (OR, 0.59; 95% CI, 0.38 to 0.91), gender (OR, 0.65; 95% CI, 0.46 to 0.92), academic education (OR, 2.00; 95% CI, 1.22 to 3.26), subjective socioeconomic status (OR, 1.27; 95% CI, 1.16 to 1.38), chronic disease (OR, 4.52; 95% CI, 2.49 to 8.19), belonging and empathy (OR, 1.06; 95% CI, 1.01 to 1.11), and participation (OR, 1.12; 95% CI, 1.00 to 1.24). Conclusions The findings indicate that bonding social capital significantly influences health levels and quality of life. Focusing on delegating local responsibilities to community members and striving to promote participation in health programs, along with increasing the socioeconomic status of minority groups, can effectively improve their health and quality of life.

Objectives: The purpose of this study is to examine the impact of subjective socioeconomic status and social capital on self-rated health and quality of life among a minority group in Iran. Methods: This cross-sectional study involved 800 individuals from a minority group in Iran. The sampling method was clustering, and data collection was conducted using a questionnaire. Data analysis was performed using SPSS version 18 and Stata version 8. Results: The results of logistic regression analysis revealed that subjective socioeconomic status (odds ratio [OR], 1.47; 95% confidence interval [CI], 1.34 to 1.61), belonging and empathy (OR, 1.09; 95% CI, 1.03 to 1.15), and trust (OR, 1.06; 95% CI, 1.00 to 1.13) significantly impacted the quality of life. Additionally, the logistic regression analysis for factors influencing self–rated health demonstrated significant effects for the age group of 31-50 years (OR, 0.59; 95% CI, 0.38 to 0.91), gender (OR, 0.65; 95% CI, 0.46 to 0.92), academic education (OR, 2.00; 95% CI, 1.22 to 3.26), subjective socioeconomic status (OR, 1.27; 95% CI, 1.16 to 1.38), chronic disease (OR, 4.52; 95% CI, 2.49 to 8.19), belonging and empathy (OR, 1.06; 95% CI, 1.01 to 1.11), and participation (OR, 1.12; 95% CI, 1.00 to 1.24). Conclusions The findings indicate that bonding social capital significantly influences health levels and quality of life. Focusing on delegating local responsibilities to community members and striving to promote participation in health programs, along with increasing the socioeconomic status of minority groups, can effectively improve their health and quality of life.

Adherence to coronavirus disease 2019 (COVID-19) preventive guidelines (ACPG) is an important strategy to control the COVID-19 pandemic effectively. The present study aimed to identify and summarize the social determinants of ACPG among the general population. A comprehensive review was performed from December 2019 to February 2021 through searching electronic databases. Two independent reviewers assessed and selected relevant studies. Next, the characteristics and main findings of the included studies were summarized. Finally, the World Health Organization’s conceptual framework of social determinants of health was used to synthesize the identified social determinants of ACPG. Forty-one of 453 retrieved articles met the inclusion criteria. The study results showed different patterns of ACPG among various communities. Furthermore, 84 social determinants were identified and categorized into structural and intermediary determinants. ACPG is a set of complex behaviors associated with different individual sociodemographic and behavioral characteristics; living and working conditions; COVID-19 knowledge, attitudes, and risk perceptions; exposure to sources and information level; leisure activities; social support; trust; social norms; psychosocial well-being; socio-economic position; and the socio-economic and political context. Interventions to promote ACPG among the general population should consider the identified social determinants of ACPG.

Objectives: This study investigated preventive behaviors toward coronavirus disease 2019 (COVID-19) and related factors in a Kurdish Iranian sample. Methods: This online survey was conducted among the population aged 18 and above in Kermanshah Province, in western Iran, in April 2020. Samples were invited and recruited through social media. Data were collected using a questionnaire consisting of 4 sections (questions on demographic variables, risk perception, risk communication, and COVID-19 preventive behaviors) and analyzed using Stata ver. 8. Results: The Pearson correlation test showed that risk communication was significantly correlated with COVID-19 preventive behaviors (r = 0.320, p < 0.01). In the final model, where the explanatory power increased with the entry of the risk communication variable, the variables explained a total of 14% of variance in COVID-19 preventive behaviors. Sex (β = −0.482), risk perception (β = 0.047), and risk communication (β = 0.662) were significant determinants. Conclusion Risk communication and risk perception related to COVID-19, as well as being a woman, were determinants of COVID-19 preventive behaviors.