Factor structure of the General Health Questionnaire-28 (GHQ-28) from infertile women attending the Yazd Research and Clinical Center for Infertility

Background: Nowadays, infertility problems have become a social concern, and are associated with multiple psychological and social problems. Also, it affects the interpersonal communication between the individual, familial, and social characteristics. Since women are exposed to stressors of physical, mental, social factors, and treatment of infertility, providing a psychometric screening tool is necessary for disorders of this group. Objective: The aim of this study was to determine the factor structure of the general health questionnaire-28 to discover mental disorders in infertile women. Materials and Methods: In this study, 220 infertile women undergoing treatment of infertility were selected from the Yazd Research and Clinical Center for Infertility with convenience sampling in 2011. After completing the general health questionnaire by the project manager, validity and, reliability of the questionnaire were calculated by confirmatory factor structure and Cronbach's alpha, respectively. Results: Four factors, including anxiety and insomnia, social dysfunction, depression, and physical symptoms were extracted from the factor structure. 50.12% of the total variance was explained by four factors. The reliability coefficient of the questionnaire was obtained 0.90. Conclusion: Analysis of the factor structure and reliability of General Health Questionnaire-28 showed that it is suitable as a screening instrument for assessing general health of infertile women

Latent class analysis of knowledge, attitude, and practice of a population-based sample of Iranian pregnant women toward COVID-19

Background: The aim of the study is to identify latent class (LC)-derived patterns of women's knowledge, attitude, and practice (KAP) toward coronavirus disease 2019 (COVID-19) in Iran. Materials and Methods: This cross-sectional survey of 2029 women, who participated in the PERSIAN Birth Cohort, was conducted in Isfahan, Iran. KAP was assessed by shortened and validated form of a recently used questionnaire in Iran. LC analysis was used to discover underlying response patterns of KAP toward COVID-19 using Mplus 8.0 software. Results: Three classes were identified: Class 1 (n = 514, 25.33%) “Low knowledge and poor practice, Class 2 (n = 423, 22.08%) “Moderate knowledge and proper practice,” and Class 3 (n = 1092, 53.82%) “Low knowledge and proper practice.” The lowest rate of positive attitude was seen in Class 3. Women living in rural areas, as well as those with lower education, were more likely to member classes with improper practice. Conclusion: The findings suggest that the LCA approach can provide important information reflecting different levels of adoption of protection toward COVID-19 infection. The results may be useful to conducting health-care programs during the outbreaks

Factors associated with screen time in Iranian children and adolescents: The CASPIAN-IV study

Background: Prolonged screen time is frequent in children and adolescents. Implementing interventions to reduce physical inactivity needs to assess related determinants. This study aims to assess factors associated with screen time in a national sample of children and adolescents. Methods: This nationwide study was conducted among 14,880 students aged 6–18 years. Data collection was performed using questionnaires and physical examination. The World Health Organization-Global School Health Survey questionnaire was used. Logistic regression analysis was used to examine the relationship between demographic variables, socioeconomic status (SES), family structure, physical activity, unhealthy eating habits, body mass index, and mental distress with screen time. Results: The participation rate was 90.6% (n = 13,486), 50.8% were male, and 75.6% lived in urban areas. Mean (standard deviation) age of participants was 12.47 (3.36) years. The SES, eating junk foods, urban residence, and age had significant association with screen time, watching television (TV), and computer use (P < 0.05). With increasing number of children, the odds ratio of watching TV reduced (P < 0.001). Statistically, significant association existed between obesity and increased time spent watching TV (P < 0.001). Girls spent less likely to use computer and to have prolonged screen time (P < 0.001). Participants in the sense of worthlessness were less likely to watch TV (P = 0.005). Screen time, watching TV, and using computer were higher in students with aggressive behaviors (P < 0.001); screen time was higher in those with insomnia. Conclusions: In this study, higher SES, unhealthy food habits, and living in urban areas, as well as aggressive behaviors and insomnia increased the risk of physical inactivity