Exposure to the COVID-19 news on social media and consequent psychological distress and potential behavioral change.

Exposure to coronavirus disease 2019 (COVID-19) news pandemic is inevitable. This study aimed to explore the association between exposure to COVID-19 news on social media and feeling of anxiety, fear, and potential opportunities for behavioral change among Iranians. A telephone-based survey was carried out in 2020. Adults aged 18 years and above were randomly selected. A self-designed questionnaire was administered to collect information on demographic variables and questions to address exposure to news and psychological and behavioral responses regarding COVID-19. A multivariate logistic regression analysis was performed to assess the relationship between anxiety, fear, behavioral responses, and independent variables, including exposure to news. In all, 1563 adults participated in the study. The mean age of respondents was 39.17 ± 13.5 years. Almost 55% of participants reported moderate to high-level anxiety, while fear of being affected by COVID-19 was reported 54.1%. Overall 88% reported that they had changed their behaviors to some extent. Exposure to the COVID-19 news on social media was the most influencing variable on anxiety (OR 2.21, 95% CI 1.62-3.04; P < 0.0001), fear (OR 1.95, 95% CI 1.49-2.56; P < 0.0001), and change in health behaviors (OR 2.02, 95% CI 1.28-3.19; P = 0.003) in the regression model. The fear of being infected by the COVID19 was associated with the female gender and some socioeconomic characteristics. Although exposure to the COVID-19 news on social media seemed to be associated with excess anxiety and fear, it also, to some extent, had positively changed people's health behaviors towards preventive measures.

Translation and psychometric properties of the Persian version of the Audit of Diabetes Dependent Quality of Life (IR-ADDQoL).

BACKGROUND: This study aimed to undertake linguistic validation and assess the psychometric properties of the Persian version of the Audit of Diabetes-Dependent Quality of Life (IR-ADDQoL) questionnaire in Iranian patients with type 1 and type 2 diabetes. METHODS: The gold-standard linguistic-validation procedure required by the developer of the ADDQoL (see https://www.healthpsychologyresearch.com ) including cross-cultural adaptation was followed. Validity and reliability of the Persian ADDQoL were then evaluated in a cross-sectional study of a sample of 153 patients with diabetes. Exploratory and confirmatory factor analyses were applied to assess structural validity. Internal consistency reliability was assessed. RESULTS: Both forced one-factor and unforced four-factor solutions were extracted from the exploratory factor analysis that jointly accounted for 48% and 66.53% of the variance observed, respectively. Confirmatory factor analysis indicated an acceptable model fit for the Persian ADDQoL. Cronbach's alpha showed excellent internal consistency for the questionnaire (alpha = 0.931 for the single scale). CONCLUSION: The Persian ADDQoL (IR-ADDQoL) showed adequate structural validity and excellent internal consistency. Therefore, it could be efficiently used to evaluate the impact of diabetes on quality of life in outcome studies and research settings in Iran.

The relationship between happiness and self-rated health: A population-based study of 19499 Iranian adults.

BACKGROUND: Health is one of the most important factors that affect happiness. This study aimed to assess the association between happiness and self-rated health among the Iranian adult population. METHODS: This cross-sectional study was conducted on a sample of adults aged 18-65 In Iran in 2020. Demographic information, the Oxford Happiness Questionnaire, and a single item on self-rated health were used to collect the data. The relationship between happiness with demographic variables and self-rated health was examined by performing logistic regression analyses. RESULTS: In all, 19499 were studied (9845 males and 9654 females). The mean age of participants was 36.38± 8.17 years. The mean happiness score was 4.1± 0.57 (out of 6) and this for self-rated health was 3.66±1.2 (out of 5). The results obtained from logistic regression analysis showed that very poor health status (OR: 5.114, 95% CI, P = 4.490-5.824, p <0.001), poor or very poor income status (OR: 1.553, 95% CI, P = 1.406-1.716, p <0.001), unemployment (OR: 1.704, 95% CI, P = 1.432-2.029, p <0.001), being aged 25-34 years (OR: 1.190, 95% CI, P = 1.088-1.302, p <0.001), and years of education (OR for 10-12 years of education: 1.271, 95% CI = 1.174-1.377, p< 0.001) were significant contributing factors to a lower happiness. CONCLUSION: The results showed that self-rated health was the most significant factor that affected happiness even after adjustment for socioeconomic variables, including age, income, employment, and education. Indeed, improving population health might be an effective measure to improve happiness among Iranians.