Disability, community participation, and life satisfaction in working-age cancer survivors
DOI:
https://doi.org/10.2340/jrm.v58.46071Keywords:
ability of daily living, Cancer, International Classification of Functioning, Disability and Health (ICF), ParticipationAbstract
Objective: To examine whether community participation mediates the disability–life satisfaction association in working-age cancer survivors, and whether contextual factors moderate this pathway.
Design: Cross-sectional online survey.
Subjects: 2,999 working-age US cancer survivors, employed or seeking employment (mean age 42.8 years; 53.1% male; 75.7% in remission).
Methods: Disability (World Health Organization Disability Assessment Schedule 2.0), perceived community participation (5-item Wisconsin Community Participation Scale), and life satisfaction (Satisfaction With Life Scale) were assessed. A single-mediator model was estimated with bias-corrected bootstrap; 7 moderators were tested with false-discovery-rate correction.
Results: Disability was associated with lower participation (β = −0.14) and life satisfaction (β = −0.12); participation with greater life satisfaction (β = 0.57). The indirect association (β = −0.08, 95% CI −0.10 to −0.06) accounted for 39.8% of the modest total association, but for only 13.0% when the full 12-item participation scale was used. At high instrumental support the conditional indirect association was indistinguishable from zero; at high self-efficacy and hope it reversed in sign.
Conclusion: In this cross-sectional study, community participation statistically accounted for a measure-dependent part of the disability–life satisfaction association, and contextual factors were associated with differential attenuation across pathway segments. These hypothesis-generating findings require longitudinal confirmation before informing practice.
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References
Miller KD, Nogueira L, Devasia T, Mariotto AB, Yabroff KR, Jemal A, et al. Cancer treatment and survivorship statistics, 2022. CA Cancer J Clin 2022; 72: 409–436. DOI: https://doi.org/10.3322/caac.21731
Cao C, Yang L, Schmitz KH, Ligibel JA. Prevalence and cancer-specific patterns of functional disability among US cancer survivors, 2017–2022. J Clin Oncol 2024; 42: 2257–2270. DOI: https://doi.org/10.1200/JCO.23.02536
Magasi S, Marshall HK, Winters C, Victorson D. Cancer survivors’ disability experiences and identities: a qualitative exploration to advance cancer equity. Int J Environ Res Public Health 2022; 19: 3112. DOI: https://doi.org/10.3390/ijerph19053112
World Health Organization. International Classification of Functioning, Disability and Health: ICF. Geneva: World Health Organization; 2001.
Pollard B, Johnston M, Dieppe P. Exploring the relationships between International Classification of Functioning, Disability and Health (ICF) constructs of Impairment, Activity Limitation and Participation Restriction in people with osteoarthritis prior to joint replacement. BMC Musculoskelet Disord 2011; 12: 97. DOI: https://doi.org/10.1186/1471-2474-12-97
Chen X, Muller V, Lee B, Wu JR, Iwanaga K, Lee D. Community participation as both a mediator and moderator for the relationship between functional disability and life satisfaction of individuals with fibromyalgia. J Appl Rehabil Couns 2020; 51: 31–41. DOI: https://doi.org/10.1891/JARC-D-19-00010
Armoogum J, Foster C, Llewellyn A, Harcourt D, McCabe C. ‘I think it affects every aspect of my life, really’: cancer survivors’ experience of living with chronic pain after curative cancer treatment in England, UK. PLoS One 2023; 18: e0290967. DOI: https://doi.org/10.1371/journal.pone.0290967
Fisher HM, Winger JG, Miller SN, Wright AN, Plumb Vilardaga JC, Majestic C, et al. Relationship between social support, physical symptoms, and depression in women with breast cancer and pain. Support Care Cancer 2021; 29: 5513–5521. DOI: https://doi.org/10.1007/s00520-021-06136-6
Snyder CR, Harris C, Anderson JR, Holleran SA, Irving LM, Sigmon ST, et al. The will and the ways: development and validation of an individual-differences measure of hope. J Pers Soc Psychol 1991; 60: 570–585. DOI: https://doi.org/10.1037/0022-3514.60.4.570
Seiler A, Jenewein J. Resilience in cancer patients. Front Psychiatry 2019; 10: 208. DOI: https://doi.org/10.3389/fpsyt.2019.00208
Maxwell SE, Cole DA. Bias in cross-sectional analyses of longitudinal mediation. Psychol Methods 2007; 12: 23–44. DOI: https://doi.org/10.1037/1082-989X.12.1.23
Judge TA, Erez A, Bono JE, Thoresen CJ. The Core Self-Evaluations Scale: development of a measure. Pers Psychol 2003; 56: 303–331. DOI: https://doi.org/10.1111/j.1744-6570.2003.tb00152.x
Bower JE, Lacchetti C, Alici Y, Barton DL, Bruner D, Canin BE, et al. Management of fatigue in adult survivors of cancer: ASCO–Society for Integrative Oncology guideline update. J Clin Oncol 2024; 42: 2456–2487. DOI: https://doi.org/10.1200/JCO.24.00541
Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 2003; 88: 879–903. DOI: https://doi.org/10.1037/0021-9010.88.5.879
Douglas BD, Ewell PJ, Brauer M. Data quality in online human-subjects research: comparisons between MTurk, Prolific, CloudResearch, Qualtrics, and SONA. PLoS One 2023; 18: e0279720. DOI: https://doi.org/10.1371/journal.pone.0279720
Hauser DJ, Moss AJ, Rosenzweig C, Jaffe SN, Robinson J, Litman L. Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk. Behav Res Methods 2023; 55: 3953–3964. DOI: https://doi.org/10.3758/s13428-022-01999-x
Litman L, Robinson J, Abberbock T. TurkPrime.com: a versatile crowdsourcing data acquisition platform for the behavioral sciences. Behav Res Methods 2017; 49: 433–442. DOI: https://doi.org/10.3758/s13428-016-0727-z
Üstün TB, Kostanjsek N, Chatterji S, Rehm J, editors. Measuring health and disability: manual for WHO Disability Assessment Schedule (WHODAS 2.0). Geneva: World Health Organization; 2010.
Iwanaga K, Chen X, Wu JR, Lee B, Deppert B, Tansey TN, et al. Psychometric validation of the Wisconsin Community Participation Scale in a sample of people with chronic health conditions and disabilities living in the community. Rehabil Couns Bull 2022; 66: 58–65. DOI: https://doi.org/10.1177/00343552211063873
Diener E, Emmons RA, Larsen RJ, Griffin S. The satisfaction with life scale. J Pers Assess 1985; 49: 71–75. DOI: https://doi.org/10.1207/s15327752jpa4901_13
Hahn EA, DeWalt DA, Bode RK, Garcia SF, DeVellis RF, Correia H, et al. New English and Spanish social health measures will facilitate evaluating health determinants. Health Psychol 2014; 33: 490–499. DOI: https://doi.org/10.1037/hea0000055
Rosseel Y. lavaan: an R package for structural equation modeling. J Stat Softw 2012; 48: 1–36. DOI: https://doi.org/10.18637/jss.v048.i02
Cohen S, Wills TA. Stress, social support, and the buffering hypothesis. Psychol Bull 1985; 98: 310–357. DOI: https://doi.org/10.1037/0033-2909.98.2.310
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