Quality of Life Research

, Volume 22, Issue 4, pp 759–770

Prospective individual and social predictors of changes in adjustment for patients attending a regional cancer service

  • Heather J. Green
  • Megan Ferguson
  • David H. K. Shum
  • Suzanne K. Chambers
Article

Abstract

Purpose

This study applied the social-cognitive processing (SCP) model to examine whether positive (social support) and negative (social constraints) aspects of the social environment influenced emotional distress, quality of life (QoL), well-being, and benefit finding after cancer.

Methods

Participants were 439 adults at a median of 66 weeks post-diagnosis and 79 % of them had completed cancer treatments. Outcome measures and predictors were assessed twice, 6 months apart, and their relationships were analyzed using hierarchical multiple regressions.

Results

Participants reported improved physical QoL at retest. Correlations showed that better outcomes for depression, anxiety, QoL, and well-being were associated with higher social support and lower social constraints. In addition, benefit finding correlated with social support but not social constraints. After other predictors were taken into account, lower initial social constraints were modestly associated with improved mental QoL at retest. Higher social constraints scores also predicted the development of clinically significant depression and anxiety.

Conclusions

Results provided some support for the SCP model’s prediction that both positive and negative aspects of social environment can contribute to adjustment in people with cancer. Although several findings supported the model, a heterogeneous sample and small effect sizes indicate that replication and further study is needed.

Keywords

Cancer Quality of life Psychological factors Social support Longitudinal studies 

Abbreviations

SCP

Social-cognitive processing

T1

Time 1

T2

Time 2

HADS

Hospital anxiety and depression scale

SF-36

Medical outcomes study short form 36 items version 2

ENRICHD

Enhancing recovery in coronary heart disease

QoL

Quality of life

ANOVA

Analysis of variance

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Heather J. Green
    • 1
    • 4
  • Megan Ferguson
    • 2
  • David H. K. Shum
    • 1
  • Suzanne K. Chambers
    • 1
    • 2
    • 3
  1. 1.Behavioural Basis of Health Program, Griffith Health Institute and School of Applied PsychologyGriffith UniversityGold CoastAustralia
  2. 2.Cancer Council QueenslandBrisbaneAustralia
  3. 3.Health and Wellness InstituteEdith Cowan UniversityPerthAustralia
  4. 4.School of Applied Psychology, Gold Coast campusGriffith UniversityGold CoastAustralia

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