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Guelmami N, Tannoubi A, Chalghaf N, Saidane M, Kong J, Puce L, Fairouz A, Bragazzi NL, Alroobaea R. Latent Profile Analysis to Survey Positive Mental Health and Well-Being: A Pilot Investigation Insight Tunisian Facebook Users. Front Psychiatry 2022; 13:824134. [PMID: 35463494 PMCID: PMC9021554 DOI: 10.3389/fpsyt.2022.824134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND To examine mental health during COVID-19 peaks, lockdown, and times of curfew, many studies have used the LPA/LCA person-centered approach to uncover and explore unobserved groups. However, the majority of research has focused only on negative psychological concepts to explain mental health. In this paper, we take another perspective to explore mental health. In addition, the study focuses on a period of peak decline in the COVID-19 pandemic. OBJECTIVE The present paper aim (a) empirically identifies different profiles among a cohort of Facebook users in Tunisia based on positive factors of mental health using a person-centered approach, (b) outline identified profiles across sociodemographic, internet use, and physical activity, and (c) establish predictors of these profiles. METHODS Cross-sectional data were collected through an online survey among 950 Facebook users were female (n = 499; 52.53%) and male (n = 451; 47.47) with an average age =31.30 ± 9.42. Subjects filled Arabic version of Satisfaction with Life Scale, Scale of Happiness (SWLS), Gratitude Questionnaire (GQ-6), International Physical Activity Questionnaire (IPAQ), and the Spirituel Well-Being Scale (SWBS). RESULTS The LPA results revealed three clusters. The first cluster (n = 489, 51,47%) contains individuals who have low scores on the positive psychology scales. The second cluster (n = 357, 37,58%) contained individuals with moderate positive psychology scores. However, a third cluster (n = 104, 10,95%) had high positive psychology scores. The selected variables in the model were put to a comparison test to ensure that the classification solution was adequate. Subsequently, the clusters were compared for the variables of socio-demographics, use of the internet for entertainment and physical activity, the results showed significant differences for gender (low mental well-being for the female gender), socio-economic level (low for the low-income class), and physical activity (low mental well-being for the non-exerciser). However, no significant differences were found for the variables age, location, and use of the Internet for entertainment. CONCLUSION Our results complement person-centered studies (LPA/LCA) related to the COVID-19 pandemic and can serve researchers and mental health practitioners in both diagnostic and intervention phases for the public. In addition, the GQ6 scale is a valid and reliable tool that can be administered to measure gratitude for culturally similar populations.
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Affiliation(s)
- Noomen Guelmami
- Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Group for the Study of Development and Social Environment (GEDES), Faculty of Human and Social Science of Tunis, Tunis, Tunisia.,Department of Human and Social Sciences, Higher Institute of Sport and Physical Education of Kef, University of Jendouba, Jendouba, Tunisia
| | - Amayra Tannoubi
- Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Group for the Study of Development and Social Environment (GEDES), Faculty of Human and Social Science of Tunis, Tunis, Tunisia.,Department of Human and Social Sciences, Higher Institute of Sport and Physical Education of Kef, University of Jendouba, Jendouba, Tunisia.,Department of Human Sciences, Higher Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Nasr Chalghaf
- Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Group for the Study of Development and Social Environment (GEDES), Faculty of Human and Social Science of Tunis, Tunis, Tunisia.,Department of Human Sciences, Higher Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Mouna Saidane
- Department of Human and Social Sciences, Higher Institute of Sport and Physical Education of Kef, University of Jendouba, Jendouba, Tunisia
| | - Jude Kong
- Department of Neuroscience, University of Genoa, Genoa, Italy
| | - Luca Puce
- Laboratory for Industrial and Applied Mathematics (LIAM), York University, Toronto, ON, Canada
| | - Azaiez Fairouz
- Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Group for the Study of Development and Social Environment (GEDES), Faculty of Human and Social Science of Tunis, Tunis, Tunisia.,Department of Human Sciences, Higher Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Nicola Luigi Bragazzi
- Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Laboratory for Industrial and Applied Mathematics (LIAM), York University, Toronto, ON, Canada.,Department of Mathematics and Statistics, York University, Toronto, ON, Canada
| | - Roobaea Alroobaea
- Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia
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