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- Mahmoudi, H., et al.
(author)
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A mediating role for mental health in associations between COVID-19-related self-stigma, PTSD, quality of life, and insomnia among patients recovered from COVID-19
- 2021
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In: Brain and Behavior. - : John Wiley & Sons. - 2162-3279 .- 2162-3279.
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Journal article (peer-reviewed)abstract
- Introduction: Patients with COVID-19 often suffer from psychological problems such as post-traumatic stress disorder (PTSD) and self-stigmatization that may negatively impact their quality of life and sleep. This study examined mental health as a potential mediating factor linking self-stigmatization and PTSD to quality of life and sleep. Methods: Using a cross-sectional design, 844 people who had recovered from COVID-19 were called and interviewed. Data were collected using structured scales. Structural equation modeling was applied to assess fitness of a mediation model including self-stigma and PTSD as independent factors and quality of life and insomnia as dependent variables. Results: Mental health, COVID-19-related self-stigma, and mental quality of life were associated. Insomnia, PTSD, and COVID-19-related self-stigma displayed significant direct associations (r =.334 to 0.454; p <.01). A mediation model indicated satisfactory goodness of fit (CFI = 0.968, TLI = 0.950, SRMR = 0.071, RMSEA = 0.068). Mental health as a mediator had negative relationships with COVID-19-related self-stigma, PTSD, and insomnia and positive associations with quality of life. Conclusion: Mental health may mediate effects of COVID-19-related self-stigma and PTSD on quality of life and insomnia. Designing programs to improve mental health among patients with COVID-19 may include efforts to reduce negative effects of PTSD and COVID-19-related self-stigma on quality of life and insomnia.
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| 2. |
- Li, L., et al.
(author)
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Nomophobia Questionnaire (NMP-Q) Across China, Bangladesh, Pakistan, and Iran : Confirmatory Factor Analysis, Measurement Invariance, and Network Analysis
- 2023
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In: International Journal of Mental Health and Addiction. - : Springer. - 1557-1874 .- 1557-1882.
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Journal article (peer-reviewed)abstract
- The popularity and advancement of smartphones generate a new phenomenon of smartphone addiction. To promote early identification of individuals at risk of smartphone addiction, healthcare providers could assess if an individual has nomophobia (i.e., anxiety and worry of having no smartphone at hand). The present study aimed to evaluate the psychometric properties of the Nomophobia Questionnaire (NMP-Q) across four countries: China, Bangladesh, Pakistan, and Iran. Via cross-sectional design and convenience sampling, 7871 participants (5969 Chinese, 534 Bangladeshi, 666 Pakistani, and 702 Iranian) completed the NMP-Q. Confirmatory factor analysis (CFA) and network analysis were used to examine the psychometric properties of the NMP-Q across the four countries. CFA identified a four-factor structure (Tucker-Lewis index = 0.934, comparative fit index = 0.943, standardized root mean square residual = 0.037, and root mean square error of approximation = 0.079) for the NMP-Q, and the four-factor structure was measurement invariant across genders and countries. Network analysis results supported the CFA findings via visualized correlations among the NMP-Q items. The four-factor structure of the NMP-Q was consistently found in the four countries of China, Bangladesh, Pakistan, and Iran, indicating that the NMP-Q includes four specific domains. Measurement invariance suggests the NMP-Q may effectively assess nomophobia across genders and countries.
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| 3. |
- Li, Li, et al.
(author)
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A network analysis of the Internet Disorder Scale-Short Form (IDS9-SF) : A large-scale cross-cultural study in Iran, Pakistan, and Bangladesh
- 2023
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In: Current Psychology. - : Springer. - 1046-1310 .- 1936-4733. ; 42, s. 21994-22003
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Journal article (peer-reviewed)abstract
- The Internet Disorder Scale-Short Form (IDS9-SF) is a validated instrument assessing internet disorder which modified the internet gaming disorder criteria proposed in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). However, the relationships between the nine items in the IDS9-SF are rarely investigated. The present study used network analysis to investigate the features of the IDS9-SF among three populations in Bangladesh, Iran, and Pakistan. Data were collected (N = 1901; 957 [50.3%] females; 666 [35.0%] Pakistani, 533 [28.1%] Bangladesh, and 702 [36.9%] Iranians) using an online survey platform (e.g., Google Forms). All the participants completed the IDS9-SF. The central-stability-coefficients of the nine IDS9-SF items were 0.71, 0.89, 0.96, 0.98, 0.98, 1.00, 0.67, 0.79, and 0.91, respectively. The node centrality was stable and interpretable in the network. The Network Comparison Test (NCT) showed that the network structure had no significant differences among Pakistani, Bangladeshi, and Iranian participants (p-values = 0.172 to 0.371). Researchers may also use the IDS9-SF to estimate underlying internet addiction for their target participants and further explore and investigate the phenomenon related to internet addiction.
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