Predictors of Mental Health Literacy in a Sample of Health Care Major Students: Pilot Evaluation Study.
COVID-19
awareness
digital health
digital health literacy
disorder
empathy
health literacy
literacy
mental health
mental health literacy
mentalizing
questionnaire
students
Journal
JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394
Informations de publication
Date de publication:
08 Feb 2024
08 Feb 2024
Historique:
received:
24
10
2022
accepted:
06
10
2023
revised:
04
10
2023
medline:
8
2
2024
pubmed:
8
2
2024
entrez:
8
2
2024
Statut:
epublish
Résumé
The numerous mental health awareness campaigns during the COVID-19 pandemic have shifted our understanding and perception of mental health. The purpose of this study is to evaluate predictors of mental health literacy (MHL), that is, one's knowledge and beliefs about mental disorders. We evaluate whether digital health literacy, empathy, and mentalizing contribute to MHL. Our sample consisted of 89 health care major students, aged between 17 and 32 years, studying at a university in Lebanon. The Mental Health Literacy Scale for Healthcare Students (MHLS-HS), the eHealth Literacy Questionnaire (eHLQ), the Basic Empathy Scale (BES), and the Reflective Functioning Questionnaire-8 (RFQ-8) were used. Multiple regression analyses revealed that the Engagement in Own Health subscale of digital health literacy constituted a predictor of MHL. While empathy and mentalizing did not directly predict MHL, they were found to predict components of MHL. This is the first study to evaluate digital health literacy, empathy, and mentalizing as predictors of MHL in Lebanon, a country where mental health is still considered taboo. Moreover, this pilot study is the first to provide some support for the predictive role of some digital health literacy subscales on MHL in light of the rise of the digital era following the COVID-19 pandemic.
Sections du résumé
BACKGROUND
BACKGROUND
The numerous mental health awareness campaigns during the COVID-19 pandemic have shifted our understanding and perception of mental health.
OBJECTIVE
OBJECTIVE
The purpose of this study is to evaluate predictors of mental health literacy (MHL), that is, one's knowledge and beliefs about mental disorders. We evaluate whether digital health literacy, empathy, and mentalizing contribute to MHL.
METHODS
METHODS
Our sample consisted of 89 health care major students, aged between 17 and 32 years, studying at a university in Lebanon. The Mental Health Literacy Scale for Healthcare Students (MHLS-HS), the eHealth Literacy Questionnaire (eHLQ), the Basic Empathy Scale (BES), and the Reflective Functioning Questionnaire-8 (RFQ-8) were used.
RESULTS
RESULTS
Multiple regression analyses revealed that the Engagement in Own Health subscale of digital health literacy constituted a predictor of MHL. While empathy and mentalizing did not directly predict MHL, they were found to predict components of MHL.
CONCLUSIONS
CONCLUSIONS
This is the first study to evaluate digital health literacy, empathy, and mentalizing as predictors of MHL in Lebanon, a country where mental health is still considered taboo. Moreover, this pilot study is the first to provide some support for the predictive role of some digital health literacy subscales on MHL in light of the rise of the digital era following the COVID-19 pandemic.
Identifiants
pubmed: 38329801
pii: v8i1e43770
doi: 10.2196/43770
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e43770Informations de copyright
©Pia Tohme, Nour Abi Fadel, Nour Yaktine, Rudy Abi-Habib. Originally published in JMIR Formative Research (https://formative.jmir.org), 08.02.2024.