Resource loss, resource gain, and psychological resilience and dysfunction following cancer diagnosis: A growth mixture modeling approach.

Hou, Wai Kai; Law, Chi Ching; Yin, Jing; Fu, Yiu Tung

doi:10.1037/a0020809

Cited by 133Cancer survivorship and careOptimism, Hope, and Well-beingResilience and Mental Health

Resource loss, resource gain, and psychological resilience and dysfunction following cancer diagnosis: A growth mixture modeling approach.

Hou, Wai Kai, Law, Chi Ching, Yin, Jing, Fu, Yiu Tung·2010·Health Psychology

DOI 10.1037/a0020809

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Abstract

OBJECTIVE: This study investigated trajectories of psychological distress and their relationships with change in psychosocial resources in the year following cancer diagnosis. DESIGN: Chinese colorectal cancer (CRC) patients (n = 234) were assessed within 12 weeks of diagnosis (T1) and again at 3-month (T2) and 12-month (T3) follow-ups. Growth mixture modeling was used to analyze the longitudinal data. MAIN OUTCOME MEASURES: Psychological distress was measured at the three time-points using Hospital Anxiety and Depression Scale (HADS). RESULTS: Growth mixture models identified four classes: chronic distress (7-9%), delayed distress (10-13%), recovery (13-16%), and resilient (65-67%). People in chronic distress were more likely to demonstrate loss in physical functioning and social relational quality than those in delayed distress, and loss in physical functioning, optimism, and hope than those in recovery, but more likely to demonstrate stability/gain in optimistic personalities than those in delayed distress and resilient. People in resilient were more likely to report stability/gain in optimistic personalities than those in delayed distress but not those in recovery. CONCLUSION: Understanding differential outcome trajectories and associated change in coping resources has implications for developing ongoing psychological services for cancer patients during the diagnosis and treatment process.

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The Hospital Anxiety and Depression Scale (HADS) anxiety subscale is validated, widely used, focuses on broad anxiety symptoms, and is widely used to evaluate anxiety and distress among cancer patients and survivors.
“The validated, widely-used Hospital Anxiety and Depression Scale (HADS; [74]) anxiety subscale will serve as the primary outcome due to its focus on broad anxiety symptoms and its wide use to evaluate anxiety and distress among cancer patients and survivors (e.g., [75, 76]).”
From A randomized controlled trial of a group acceptance-based intervention for cancer survivors experiencing anxiety at re-entry ('Valued Living'): Study protocol (2019) · cites this paper as [75]

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Authors: Hou, W. K., Law, C. C., Yin, J., & Fu, Y. T.
Affiliations: Education University of Hong Kong (HK)
Queen Elizabeth Hospital (GB)
University of Hong Kong (HK)
ORCID: Hou, Wai Kai
Venue: Health Psychology
Publisher: American Psychological Association (APA)
Published: 2010-09
Volume: 29
Issue: 5
Pages: 484-495
ISSN: 0278-6133 (ISSN-L)
1930-7810
DOI: 10.1037/a0020809
OpenAlex: W1974766034
Cited by: 130
References: 86
Citations by year: 2026: 7 · 2025: 1 · 2024: 1 · 2023: 7 · 2022: 7 · 2021: 11 · 2020: 10 · 2019: 15 · 2018: 10 · 2017: 11 · 2016: 12 · 2015: 7 · 2014: 8 · 2013: 12 · 2012: 6
FWCI: 3.60
Type: journal article
Language: en
Open access: closed
Locations: Health Psychology (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Oncology › Cancer survivorship and care
Social Sciences › Psychology › Applied Psychology › Optimism, Hope, and Well-being
Social Sciences › Psychology › Clinical Psychology › Resilience and Mental Health
Keywords: cancer diagnosis, psychological distress, psychological resilience, psychosocial resources, colorectal cancer, anxiety, depression, physical function, interpersonal relationships, optimism, hope, coping resources, Chinese patients
MeSH terms: Adaptation, Psychological, Adult, Aged, Aged, 80 and over, China, Depression, Female, Follow-Up Studies, Humans, Life Change Events, Male, Middle Aged, Models, Psychological, Personality, Prospective Studies, Psychiatric Status Rating Scales, Social Support, Socioeconomic Factors, Stress, Psychological, Time Factors, Colorectal Neoplasms, Asian People, Resilience, Psychological

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Resource loss, resource gain, and psychological resilience and dysfunction following cancer diagnosis: A growth mixture modeling approach.

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