Relationships among COVID-19 phobia, health anxiety, and social relations in women living with HIV in Iran: A path analysis.

INTRODUCTION: The COVID-19 pandemic and its consequences have caused fear and anxiety worldwide and imposed a significant physical and psychological burden on people, especially women living with HIV (WLHIV). However, WLHIV were not studied as well as others during the pandemic. Hence, this study aimed to determine the relationships between COVID-19 phobia, health anxiety, and social relations in WLHIV. MATERIALS AND METHODS: This cross-sectional study enrolled 300 WLHIV who had records at the Iranian Research Center for HIV/AIDS of Tehran University of Medical Sciences. Data were collected using sociodemographic questionnaire, the fear of COVID-19 scale, the social relations questionnaire, the socioeconomic status scale and the health anxiety inventory. Path-analysis was used to assess the direct and indirct associations between variables. RESULTS: Based on the path analysis, among variables that had significant causal relationships with social relations, socioeconomic status (ß = -0.14) showed the greatest negative relationship, and health anxiety (ß = 0.11) had the strongest positive relationship on the direct path. On the indirect path, fear of COVID-19 (ß = 0.049) displayed the greatest positive relationship. The level of education (ß = 0.29) was the only variable showing a significant positive relationship with social relations on both direct and indirect paths. CONCLUSION: Our result showed that increased fear and health anxiety related to a higher social relations score in WLHIV. Hence, due to their vulnerability, these people require more support and education to adhere to health protocols in future pandemics and similar situations.

Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling.

BACKGROUND: Social networks and relationships create a sense of belonging and social identity; hence, can affect mental health and the quality of life, especially in young people. The present study was conducted to determine the predicting role of social networks and internet emotional relationships on students' mental health and quality of life. METHODS: The present cross-sectional study was conducted in 2021 on 350 students at Alborz University of Medical Sciences selected by convenience sampling. Data were collected using five questionnaires: socioeconomic status, social networks, internet emotional relationships, stress, anxiety, depression scale (DASS-21), quality of life, and a checklist of demographic details. Data were analyzed in SPSS-25, PLS-3, and Lisrel-8.8. RESULTS: According to the path analysis, the DASS-21 score had the most significant positive causal association with internet emotional relationships in the direct path (B = 0.22) and the most negative association with socioeconomic status (B = - 0.09). Quality of life had the highest negative causal association with the DASS-21 score in the direct path (B = - 0.26) and the highest positive association with socioeconomic status in the indirect path (B = 0.02). The mean duration of using social networks (B ≈ - 0.07) and internet emotional relationships (B ≈ - 0.09) had the highest negative association with quality of life. CONCLUSION: The use of the internet and virtual networks, internet emotional relationships, and unfavorable socioeconomic status were associated with higher DASS-21 scores and reduced quality of life in the students. Since students are the future of countries, it is necessary for policymakers to further address this group and their concerns.