The effects of cognitive behavioral therapy for insomnia (CBT-I) have consistently been shown to improve insomnia symptoms and other health-related outcomes, but the effects on QoL have been inconsistent. Many factors including the type CBT-I delivery and type of instrument used to assess QoL make the topic complex. The present systematic review and meta-analysis synthesized the evidence of CBT-I efficacy on QoL outcomes across different populations, delivery modes, and methodological aspects. Following the guidelines on preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), a literature search was conducted through PubMed, Web of Science, Scopus, and PsycINFO using keywords from relevant MeSH terms based on PICOS (Participants, Intervention, Comparison, Outcome and Study) criteria. Clinical trials investigating the effect of CBT-I as an intervention on QoL with any kind of control group were eligible if they reported mean scores and variation of QoL. Meta-analysis using a random-effect model was conducted to calculate the standardized mean differences (SMDs) in a set including all identified studies, as well as in three sub-sets: face-to-face CBT-I using randomized controlled trials (RCTs), online CBT-I using RCTs, and one-group pre- and post-treatment design. A total of 24 studies comprising 1977 participants (808 in an intervention group) from 12 countries were eligible for meta-analysis. The overall pooled estimate of SMD of QoL when all 24 studies were included was 0.47 (95% CI: 0.22; 0.72; I² = 84.5%; tau² = 0.31; p < 0.001). The overall pooled estimate of SMD of QoL was 0.46 (95% CI: 0.01-0.90; I² = 87.5%; tau² = 0.48, p < 0.001) for intervention groups with face-to-face CBT-I compared to controls; 0.47 (95% CI: 0.02-0.92; I² = 88.3%; tau² = 0.36; p = 0.04) for intervention groups with digital CBT-I compared to controls, and 0.46 (95% CI: 0.12-0.80; I² = 52.9%; tau² = 0.07; p = 0.08) for one-group pre- and post-comparison using CBT-I intervention compared to baseline. Moreover, effects of CBT-I on QoL were different across populations (pooled SMD = 0.59 for patients with insomnia; 0.29 for patients with insomnia comorbid with another major disorder; and 0.48 for other conditions) and types of QoL instruments (pooled SMD = 0.36 for disease-specific QoL instrument not on insomnia, 0.43 for generic QoL instrument, and 0.67 for a single-QoL-item instrument). The probability of publication bias was ruled out in overall and design specific sub-group analysis based on funnel plot and Egger's test. In conclusion, this meta-analysis confirmed a moderate, overall effect of CBT-I in improving QoL. However, due to small power and heterogeneity, future studies are needed to better explore the impact of moderating factors such as mode of delivery and type of QoL measure for assessment used.

Background: Binge-watching, the viewing of online videos or streamed content, may be associated with different types of mental health problems. The present study aimed to investigate the associations between binge-watching and five mental health concerns including depression, loneliness, sleep problems, anxiety, and stress. Methods: Academic databases of PubMed, Scopus, Web of Science, ProQuest, PsycINFO, and Psych Articles were systematically searched through February of 2022. The Newcastle–Ottawa Scale was used to assess the methodological quality. A meta-analysis was performed on Fisher’s z values as effect sizes, using a random effect model. Publication bias, small study effect, and moderators in this association were assessed. Results: Binge-watching was significantly associated with the five types of mental health concerns with the most robust correlations found with stress (0.32) and anxiety (0.25). Stronger associations between binge-watching and two types of mental health problems (depression and sleep problems) were found during the COVID-19 pandemic than before the pandemic. Moreover, stronger associations between binge-watching and two types of mental health problems (stress and sleep problems) were found in developing countries than in developed countries. Conclusions: The associations between binge-watching and mental health concerns were significant and positive. Programs and interventions to reduce binge-watching should be considered and tested.

Technological advances have created the environment for Internet addiction (IA). A specific form of IA is social media addiction. Moreover, social media addiction may be further classified into general or specific social media addiction, with YouTube addiction among the latter because YouTube is viewed as a video streaming application. The present study aimed to design an instrument assessing YouTube addiction (named as the YouTube Addiction Scale, YAS) for psychometric testing. Guided by the component model of addiction, the YAS included six items corresponding to salience, mood modification, tolerance, withdrawal, conflict, and relapse. Through an online survey, the first sample (N = 530; 50.6% female) completed the YAS together with other measures assessing general social media addiction, psychological distress, and demographic information. Afterward, a second sample (N = 512; 45.5% female) completed the YAS in another period of time. The YAS was found to be unidimensional with strong factor loadings in both exploratory factor analysis (the first sample) and confirmatory factor analysis (the second sample). Internal consistency of the YAS was acceptable for both samples. Using the first sample’s data, Rasch models suggested that the six items in the YAS all fit well in the embedded construct of YouTube addiction. No differential item functioning was displayed for all YAS items across age, gender, and weekly time spent using YouTube. Network analysis results showed that the YAS items grouped together and had a clear distance from all items assessing general social media addiction. In addition, participants with higher levels of YouTube addiction had significantly greater general social media addiction, psychological distress, and time spent on YouTube. The YAS has promising psychometric properties for healthcare providers and researchers to assess individuals’ YouTube addiction levels. Future studies should examine the extent to which with the use of YAS, healthcare providers may monitor the severity of individuals’ YouTube addiction and provide early intervention, if needed.

Having a child is important event for families worldwide. Attitudes toward childbearing are influenced by many factors. The aim of the present study was to investigate Iranian women's attitude toward childbearing and its association with generalized trust, social support, marital satisfaction, mental health, and socio-economic characteristics in Qazvin province. A cross-sectional survey study was conducted between April and July 2022. Using convenience sampling, 347 women with no children or one child in Qazvin province (Iran) participated in the study. Data were collected via the Iranian online platform Porsline. The survey included a demographic and fertility characteristics questionnaire, Attitudes Toward the Government's Childbearing Incentives Scale (ATGCIS), Attitudes Toward Fertility and Childbearing Scale (ATFCS), ENRICH Marital Satisfaction Scale (ENRICH MSS), Patient Health Questionnaire (PHQ-4), Multidimensional Scale of Perceived Social Support (MSPSS), and Generalized Trust Scale (GTS). The average age of participants was 35.66 years (SD = 6.89). The score of attitudes toward fertility and childbearing was 84.66 out of 134 (SD = 19.17). The average number of expected children by the couple was 2.36 (SD = 1.35). Multivariable linear regression found a positive and significant relationship between participants' attitudes toward fertility and childbearing (ATFC) and (i) governmental childbearing incentives (β = 0.365, p < 0.001, with 1.37 increase in ATFC with each unit increase in this scale) (ii) generalized trust (i.e., individual's expectation of others' trustworthiness), (β = 0.155, p < 0.003, with 0.60 increase in ATFC with each unit increase in generalized trust) and (iii) marital satisfaction (β = 0.146, p < 0.005, with 0.26 increase in ATFC with each unit increase marital satisfaction). The multivariable linear regression model also showed that attitudes toward fertility and childbearing was the only predictor of couples' expected number of children in the future (β = 0.214, p < 0.001, with 0.38 increase in couples' expected number of children with each unit increase in ATFC). Government incentives were the strongest independent predictor of participants' attitudes toward childbearing which can indirectly influence couples' expected number of children in the future. Consequently, governments may be able to influence couples' childbearing decisions by providing appropriate incentives. Generalized trust and marital satisfaction were other significant predictors of attitudes toward childbearing. Therefore, implementing programs to improve generalized trust, and increasing marital satisfaction might be other influential measures in couples’ childbearing decisions.

Many studies have assessed the prevalence of alcohol consumption in Iran. In this study, we investigated the prevalence of alcohol consumption in different groups.We searched international and data...

Health literacy is important for health behavior engagement. Therefore, it is important to have a good instrument assessing health literacy with a theoretical framework. The present study aimed to examine the measurement invariance and differential item functioning (DIF) of a newly developed health literacy instrument; that is, the Health Literacy Instrument for Adults (HELIA). Confirmatory factor analysis (CFA) and Rasch models were used to examine the data collected from a large Iranian sample (N = 9775; 67.3% females; mean age = 36.44 years). All the participants completed the HELIA. CFA was used to examine if the HELIA had a five-factor structure (including reading, access to information, understanding, appraisal, and decision making/behavioral intention factors) and multigroup CFA to examine if the five-factor structure of HELIA was invariant across gender, educational level, accommodation, and age subgroups. Rasch models were used to examine whether each factor of HELIA was unidimensional and DIF contrast in Rasch to examine if the HELIA items were interpreted similarly across the aforementioned subgroups. The CFA results supported the five-factor structure of HELIA, and the Rasch models verified that each HELIA factor is unidimensional. Additionally, multigroup CFA supported the measurement invariance of HELIA across the following subgroups: male vs. female; highly educated vs. poorly educated; city residents vs. suburban residents; and younger age vs. older age. The DIF contrasts in the Rasch models additionally showed that there are no substantial DIF items in the HELIA across aforementioned subgroups. Therefore, the HELIA is a feasible and comprehensive instrument assessing health literacy across different populations in Iran.