Empathy and Mental Health Literacy

Depression Literacy and Self-Reported Help-Giving Behaviour in Adolescents in Ireland

This questionnaire-based study aimed to explore depression literacy (DL) and help-giving experiences in 12-18-year-old adolescents (N = 535, Mage = 14.9 years, 51.8% male) in Ireland. In response to a vignette depicting a character displaying symptoms of depression, 46.7% labelled these symptoms 'depression', with increasing age and empathy associated with increased likelihood of labelling as such. Almost all (92.1%) believed the character needed help, but the perceived helpfulness of potential responses varied. Over one-third (38.2%) indicated they knew someone who had displayed similar symptoms in the past year, with 85.2% of these reporting having helped this person. Reported help-giving responses included comforting the person, encouraging professional help-seeking, and informing an adult. The findings suggest adolescent DL can be best supported by developmentally-sensitive interventions that encourage empathy and the importance of engaging adults' assistance.

Predictors of Mental Health Literacy in a Sample of Health Care Major Students: Pilot Evaluation Study

BACKGROUND

The numerous mental health awareness campaigns during the COVID-19 pandemic have shifted our understanding and perception of mental health.

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

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

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

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.