Families' experiences with adolescents and young adults exhibiting non-suicidal self-injury (NSSI): a qualitative study in Thailand

This study underscores the significant impact of NSSI on families and emphasizes the need for collaborative approaches involving families, schools, and communities to support the mental health of affected adolescents and young adults.

Authors

Institutions

Publication Details

Journal
International Journal of Qualitative Studies on Health and Well-Being
Published
2025-11-20
DOI
https://doi.org/10.1080/17482631.2025.2588939
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Families' experiences with adolescents and young adults exhibiting non-suicidal self-injury (NSSI): a qualitative study in Thailand

Masatha Thongpan, Natcha Auernaruemonsuk
International Journal of Qualitative Studies on Health and Well-Being
Suicide and Self-Harm Studies
article

Families' experiences with adolescents and young adults exhibiting non-suicidal self-injury (NSSI): a qualitative study in Thailand

Masatha Thongpan, Natcha Auernaruemonsuk
article en

Abstract

This study underscores the significant impact of NSSI on families and emphasizes the need for collaborative approaches involving families, schools, and communities to support the mental health of affected adolescents and young adults.

International Journal of Qualitative Studies on Health and Well-BeingVol. 20(1)
Mahidol University (TH), Ramathibodi Hospital (TH)
Openalex Percentile: Top 52%
Suicide and Self-Harm Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.