Temporal precedence of resilience: evidence of a protective cross-lagged effect on depressivity and anxiousness among young people with chronic disabling health conditions in Hong Kong

This two-wave longitudinal study examined whether resilience predicted later mental health difficulties among 227 Hong Kong youth aged 15–29 with chronic disabling health conditions. Using latent cross-lagged panel models, we tested reciprocal associations between resilience, depressivity, and anxiousness over time. Findings showed a clear unidirectional pattern: higher resilience at Wave 1 predicted lower depressivity and anxiousness at Wave 2, while earlier depressivity and anxiousness did not significantly predict later resilience. This supports resilience as a protective factor rather than something eroded by prior distress. Chinese participants reported lower depressivity than non-Chinese participants, while younger age and higher educational attainment were associated with greater anxiousness. Overall, the study provides culturally grounded longitudinal evidence that baseline resilience can reduce later mental health difficulties among disadvantaged youth. The findings highlight the importance of strength-based interventions that build resilience and support mental health during the transition into adulthood.

Authors

Institutions

Publication Details

Journal
International Journal of Adolescence and Youth
Published
2026-09-14
DOI
https://doi.org/10.1080/02673843.2026.2732564
Primary Topic
Adolescent and Pediatric Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Temporal precedence of resilience: evidence of a protective cross-lagged effect on depressivity and anxiousness among young people with chronic disabling health conditions in Hong Kong

Hiu-Lam Ngai, Steven Sek‐yum Ngai, Qiushi Zhou, Laing‐ming Wong et al.
International Journal of Adolescence and Youth
Adolescent and Pediatric Healthcare
article

Temporal precedence of resilience: evidence of a protective cross-lagged effect on depressivity and anxiousness among young people with chronic disabling health conditions in Hong Kong

Hiu-Lam Ngai, Steven Sek‐yum Ngai, Qiushi Zhou, Laing‐ming Wong, Mike Cheung, Yuen‐hang Ng, Chau‐kiu Cheung, Onur Ramazan, Pamela Pui Yu Leung, Haoyi Guo
article en

Abstract

This two-wave longitudinal study examined whether resilience predicted later mental health difficulties among 227 Hong Kong youth aged 15–29 with chronic disabling health conditions. Using latent cross-lagged panel models, we tested reciprocal associations between resilience, depressivity, and anxiousness over time. Findings showed a clear unidirectional pattern: higher resilience at Wave 1 predicted lower depressivity and anxiousness at Wave 2, while earlier depressivity and anxiousness did not significantly predict later resilience. This supports resilience as a protective factor rather than something eroded by prior distress. Chinese participants reported lower depressivity than non-Chinese participants, while younger age and higher educational attainment were associated with greater anxiousness. Overall, the study provides culturally grounded longitudinal evidence that baseline resilience can reduce later mental health difficulties among disadvantaged youth. The findings highlight the importance of strength-based interventions that build resilience and support mental health during the transition into adulthood.

International Journal of Adolescence and YouthVol. 31(1)
City University of Hong Kong (HK), Chinese University of Hong Kong (HK)
Openalex Percentile: Top 7%
Adolescent and Pediatric Healthcare
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.