Interpersonal Processes in the Duration of Sick Leave of Workers with Chronic Diseases: A Dyadic Analysis.

Chronic health conditions Dyadic processes Illness perceptions Occupational health Return to work Return to work expectations Significant others

Journal

Journal of occupational rehabilitation
ISSN: 1573-3688
Titre abrégé: J Occup Rehabil
Pays: Netherlands
ID NLM: 9202814

Informations de publication

Date de publication:
03 Sep 2024
Historique:
accepted: 19 08 2024
medline: 3 9 2024
pubmed: 3 9 2024
entrez: 2 9 2024
Statut: aheadofprint

Résumé

Although there is increasing awareness that significant others' perceptions and behavior can affect health outcomes, the role of interpersonal processes between sick-listed workers and significant others in sick leave and return to work (RTW) has hardly been studied. This study aims to examine the associations between illness perceptions, RTW expectations, and behaviors of significant others (engagement, buffering and overprotection) with sick leave duration within dyads of sick-listed workers with chronic diseases and their significant others. We used survey data linked with sick leave registry data of 90 dyads. Pearson correlations were used to study the interdependence within dyads. Multiple linear regression analyses were conducted to examine associations between survey data of both dyad members and sick leave duration. We found moderate to strong correlations between workers and significant others, indicating interdependence within dyads regarding illness perceptions, RTW expectations and perceived significant other behaviors. Dyad members' illness perceptions (R This study indicates that negative illness perceptions and RTW expectations of both workers and their significant others are associated with a longer sick leave duration. Considering the interdependence within dyads, involving significant others when intervening on maladaptive illness perceptions and RTW expectations may be more effective than solely focusing on the worker's perceptions and expectations.

Identifiants

pubmed: 39223399
doi: 10.1007/s10926-024-10233-8
pii: 10.1007/s10926-024-10233-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Instituut Gak
ID : 2016755
Organisme : Instituut Gak
ID : 2016755
Organisme : Instituut Gak
ID : 2016755

Informations de copyright

© 2024. The Author(s).

Références

Schuring M, Burdorf L, Kunst A, et al. The effects of ill health on entering and maintaining paid employment: evidence in european countries. J Epidemiol Community Health. 1978;2007(61):597–604. https://doi.org/10.1136/jech.2006.047456 .
doi: 10.1136/jech.2006.047456
Van Rijn RM, Robroek SJW, Brouwer S, et al. Influence of poor health on exit from paid employment: a systematic review. Occup Environ Med. 2014;71:295–301. https://doi.org/10.1136/oemed-2013-101591 .
doi: 10.1136/oemed-2013-101591 pubmed: 24169931
Yildiz B, Burdorf A, Schuring M. The influence of chronic diseases and multimorbidity on entering paid employment among unemployed persons – a longitudinal register-based study. Scand J Work Environ Health. 2021;47:208–16. https://doi.org/10.5271/sjweh.3942 .
doi: 10.5271/sjweh.3942 pubmed: 33350454 pmcid: 8126442
Robroek SJW, Schuring M, Croezen S, et al. Poor health, unhealthy behaviors, and unfavorable work characteristics influence pathways of exit from paid employment among older workers in Europe: a four year follow-up study. Scand J Work Environ Health. 2013;39:125–33. https://doi.org/10.5271/sjweh.3319 .
doi: 10.5271/sjweh.3319 pubmed: 22949091
Whitehead L, Jacob E, Towell A, et al. The role of the family in supporting the self-management of chronic conditions: a qualitative systematic review. J Clin Nurs. 2018;27:22–30. https://doi.org/10.1111/jocn.13775 .
doi: 10.1111/jocn.13775 pubmed: 28231630
Karademas EC. A new perspective on dyadic regulation in chronic illness: the dyadic regulation connectivity model. Health Psychol Rev. 2022;16:1–21. https://doi.org/10.1080/17437199.2021.1874471 .
doi: 10.1080/17437199.2021.1874471 pubmed: 33427585
Falconier MK, Kuhn R. Dyadic coping in couples: a conceptual integration and a review of the empirical literature. Front Psychol. 2019;10:1–23. https://doi.org/10.3389/fpsyg.2019.00571 .
doi: 10.3389/fpsyg.2019.00571
Snippen NC, de Vries HJ, van der Burg-Vermeulen SJ, et al. Influence of significant others on work participation of individuals with chronic diseases: a systematic review. BMJ Open. 2019;9:1–13. https://doi.org/10.1136/BMJOPEN-2018-021742 .
doi: 10.1136/BMJOPEN-2018-021742
Hoving JL, van der Meer M, Volkova AY, et al. Illness perceptions and work participation: a systematic review. Int Arch Occup Environ Health. 2010;83:595–605. https://doi.org/10.1007/s00420-010-0506-6 .
doi: 10.1007/s00420-010-0506-6 pubmed: 20130906 pmcid: 2902734
Boot CRLL, Heijmans M, Gulden JWJJ, et al. The role of illness perceptions in labor participation of the chronically ill. Int Arch Occup Environ Health. 2008;82:13–20. https://doi.org/10.1007/s00420-007-0298-5 .
doi: 10.1007/s00420-007-0298-5 pubmed: 18188579 pmcid: 2467500
Løvvik C, Shaw W, Øverland S, et al. Expectations and illness perceptions as predictors of benefit recipiency among workers with common mental disorders: secondary analysis from a randomised controlled trial. BMJ Open. 2014;4:1–9. https://doi.org/10.1136/bmjopen-2013-004321 .
doi: 10.1136/bmjopen-2013-004321
Heymans MW, De Vet HCWW, Knol DL, et al. Workers’ beliefs and expectations affect return to work over 12 months. J Occup Rehabil. 2006;16:685–95. https://doi.org/10.1007/s10926-006-9058-8 .
doi: 10.1007/s10926-006-9058-8 pubmed: 17063403
Aasdahl L, Pape K, Vasseljen O, et al. Improved expectations about length of sick leave during occupational rehabilitation is associated with increased work participation. J Occup Rehabil. 2019;29:475–82. https://doi.org/10.1007/s10926-018-9808-4 .
doi: 10.1007/s10926-018-9808-4 pubmed: 30151631
Sullivan V, Wilson MN, Gross DP, et al. Expectations for return to work predict return to work in workers with low back pain: an individual participant data (IPD) meta-analysis. J Occup Rehabil. 2022;32(4):575–90. https://doi.org/10.1007/s10926-022-10027-w .
doi: 10.1007/s10926-022-10027-w pubmed: 35152369
Badr H, Acitelli LK. Re-thinking dyadic coping in the context of chronic illness. Curr Opin Psychol. 2017;13:44–8. https://doi.org/10.1016/j.copsyc.2016.03.001 .
doi: 10.1016/j.copsyc.2016.03.001 pubmed: 28813292
Berg CA, Upchurch R. A developmental-contextual model of couples coping with chronic illness across the adult life span. Psychol Bull. 2007;133:920–54. https://doi.org/10.1037/0033-2909.133.6.920 .
doi: 10.1037/0033-2909.133.6.920 pubmed: 17967089
McCluskey S, Brooks J, King N, et al. The influence of ‘significant others’ on persistent back pain and work participation: a qualitative exploration of illness perceptions. BMC Musculoskelet Disord. 2011;12:236. https://doi.org/10.1186/1471-2474-12-236 .
doi: 10.1186/1471-2474-12-236 pubmed: 21999726 pmcid: 3209455
Brooks J, McCluskey S, King N, et al. Illness perceptions in the context of differing work participation outcomes: exploring the influence of significant others in persistent back pain. BMC Musculoskelet Disord. 2013;14:1–11. https://doi.org/10.1186/1471-2474-14-48 .
doi: 10.1186/1471-2474-14-48
Nilsson M, Olsson M, Wennman-Larsen A, et al. Return to work after breast cancer: women’s experiences of encounters with different stakeholders. Eur J Oncol Nurs. 2011;15:267–74. https://doi.org/10.1016/j.ejon.2011.03.005 .
doi: 10.1016/j.ejon.2011.03.005 pubmed: 21478053
Tamminga SJ, de Boer AGEM, Verbeek JH, et al. Breast cancer survivors’ views of factors that influence the return-to-work process - a qualitative study. Scand J Work Environ Health. 2012;38:144–54. https://doi.org/10.5271/sjweh.3199 .
doi: 10.5271/sjweh.3199 pubmed: 21986836
Auerbach ES, Richardson P. The long-term work experiences of persons with severe and persistent mental illness. Psychiatr Rehabil J. 2005;28:267–73. https://doi.org/10.2975/28.2005.267.273 .
doi: 10.2975/28.2005.267.273 pubmed: 15690740
McCluskey S, de Vries H, Reneman M, et al. ‘I think positivity breeds positivity’: a qualitative exploration of the role of family members in supporting those with chronic musculoskeletal pain to stay at work. BMC Fam Pract. 2015;16:1–7. https://doi.org/10.1186/s12875-015-0302-1 .
doi: 10.1186/s12875-015-0302-1
Duijts SFA, van Egmond MP, Gits M, et al. Cancer survivors’ perspectives and experiences regarding behavioural determinants of return to work and continuation of work. Psychooncology. 2017;39:2164–72. https://doi.org/10.1080/09638288.2016.1219924 .
doi: 10.1080/09638288.2016.1219924
Snippen NC, de Vries HJ, Roelen CAM, et al. The associations between illness perceptions and expectations about return to work of workers with chronic diseases and their significant others: a dyadic analysis. J Occup Rehabil. 2023;33(1):189–200. https://doi.org/10.1007/s10926-022-10062-7 .
doi: 10.1007/s10926-022-10062-7 pubmed: 35978150
Kenny DA, Kashy DA, Cook WL. Dyadic Data Analysis. Guilford Press 2006.
Broadbent E, Petrie KJ, Main J, et al. The brief illness perception questionnaire. J Psychosom Res. 2006;60:631–7. https://doi.org/10.1016/j.jpsychores.2005.10.020 .
doi: 10.1016/j.jpsychores.2005.10.020 pubmed: 16731240
de Raaij EJ, Schröder C, Maissan FJ, et al. Cross-cultural adaptation and measurement properties of the brief illness perception questionnaire-dutch language version. Man Ther. 2012;17:330–5. https://doi.org/10.1016/j.math.2012.03.001 .
doi: 10.1016/j.math.2012.03.001 pubmed: 22483222
Sterba KR, DeVellis RF. Developing a spouse version of the illness perception questionnaire-revised (IPQ-R) for husbands of women with rheumatoid arthritis. Psychol Health. 2009;24:473–87. https://doi.org/10.1080/08870440701867788 .
doi: 10.1080/08870440701867788 pubmed: 20205006 pmcid: 3549265
Storheim KGA. Evaluation of the brief illness perception questionnaire in sub-acute and chronic low back pain patients: data quality. Reliability And Validity J Pain Relief. 2013;2:1–6. https://doi.org/10.4172/2167-0846.1000122 .
doi: 10.4172/2167-0846.1000122
Chittem M, Norman P, Harris PR. Relationships between perceived diagnostic disclosure, patient characteristics, psychological distress and illness perceptions in Indian cancer patients. Psychooncology. 2013;22:1375–80. https://doi.org/10.1002/pon.3149 .
doi: 10.1002/pon.3149 pubmed: 22930492
Radat F, Lantéri-Minet M, Nachit-Ouinekh F, et al. The GRIM2005 study of migraine consultation in france, III: psychological features of subjects with migraine. Cephalalgia. 2009;29:338–50. https://doi.org/10.1111/j.1468-2982.2008.01718.x .
doi: 10.1111/j.1468-2982.2008.01718.x pubmed: 19175776
Carriere JS, Pimentel SD, Bou-Saba S, et al. Recovery expectations can be measured with single-item measures: findings of a systematic review and meta-analysis on the role of recovery expectations on return-to-work outcomes following musculoskeletal pain conditions. Pain. 2023;164:190–206.
doi: 10.1097/j.pain.0000000000002789
Buunk BP, Berkhuysen MA, Sanderman R, et al. Actieve betrokkenheid, beschermend bufferen en overbescherming. meetinstrumenten voor de rol van de partner bij hartrevalidatie [the role of the partner in heart disease: active engagement, protective buffering, and overprotection]. Gedrag & Gezondheid: Tijdschrift voor Psychologie en Gezondheid. 1996;24:304–13.
Kuijer RG, Ybema JF, Buunk BP, et al. Active engagement, protective buffering, and overprotection: three ways of giving support by intimate partners of patients with cancer. J Soc Clin Psychol. 2000;19:256–75. https://doi.org/10.1521/jscp.2000.19.2.256 .
doi: 10.1521/jscp.2000.19.2.256
Rottmann N, Hansen DG, Larsen PV, et al. Dyadic coping within couples dealing with breast cancer: a longitudinal, population-based study. Health Psychol. 2015;34:486–95. https://doi.org/10.1037/hea0000218 .
doi: 10.1037/hea0000218 pubmed: 25730611
Hemphill JF. Interpreting the magnitudes of correlation coefficients. Am Psychol. 2003;58:78–9. https://doi.org/10.1037/0003-066X.58.1.78 .
doi: 10.1037/0003-066X.58.1.78 pubmed: 12674822
Kenny DA. APIM with Between- and Within Dyads Outcomes [PowerPoint slides]. 2014;1–12.
Figueiras MMJ, Weinman J. Do similar patient and spouse perceptions of myocardial infarction predict recovery? Psychol Health. 2003;18:201–16. https://doi.org/10.1080/0887044021000057266 .
doi: 10.1080/0887044021000057266
Kim S, Blieszner R, Roberto KA. Effects of dyadic discrepancy in awareness of mild cognitive impairment on changes in care partner’s burden over time. Aging Ment Health. 2022;26:1027–34.
doi: 10.1080/13607863.2021.1922602 pubmed: 34082621
Kong W, Tang D, Luo X, et al. Prediction of return to work outcomes under an injured worker case management program. J Occup Rehabil. 2012;22:230–40. https://doi.org/10.1007/s10926-011-9343-z .
doi: 10.1007/s10926-011-9343-z pubmed: 22120023
Churruca K, Pomare C, Ellis LA, et al. Patient-reported outcome measures (PROMs): a review of generic and condition-specific measures and a discussion of trends and issues. Health Expect. 2021;24:1015–24. https://doi.org/10.1111/hex.13254 .
doi: 10.1111/hex.13254 pubmed: 33949755 pmcid: 8369118
Hagedoorn M, Hein FL, Schulz T, et al. Are patient and relationship variables associated with participation of intimate partners in couples research? Health Psychol. 2015;34:270–3. https://doi.org/10.1037/hea0000141 .
doi: 10.1037/hea0000141 pubmed: 25133832
Barton AW, Lavner JA, Stanley SM, et al. ‘Will you complete this survey too?’ differences between individual versus dyadic samples in relationship research. J Fam Psychol. 2019;34:196–203. https://doi.org/10.1037/fam0000583 .
doi: 10.1037/fam0000583 pubmed: 31380689 pmcid: 7000299
Wittenborn AK, Dolbin-Macnab ML, Keiley MK. Dyadic research in marriage and family therapy: methodological considerations. J Marital Fam Ther. 2013;39:5–16. https://doi.org/10.1111/J.1752-0606.2012.00306.X .
doi: 10.1111/J.1752-0606.2012.00306.X pubmed: 25073839
Sampere M, Gimeno D, Serra C, et al. Return to work expectations of workers on long-term non-work-related sick leave. J Occup Rehabil. 2012;22:15–26. https://doi.org/10.1007/s10926-011-9313-5 .
doi: 10.1007/s10926-011-9313-5 pubmed: 21701951
Broadbent E, Ellis CJ, Thomas J, et al. Can an illness perception intervention reduce illness anxiety in spouses of myocardial infarction patients? a randomized controlled trial. J Psychosom Res. 2009;67:11–5. https://doi.org/10.1016/j.jpsychores.2008.11.006 .
doi: 10.1016/j.jpsychores.2008.11.006 pubmed: 19539813
Petrie K, Weinman J. Why illness perceptions matter. Clin Med. 2006;6:536–9.
doi: 10.7861/clinmedicine.6-6-536
Siemonsma PC, Stuive I, Roorda LD, et al. Cognitive treatment of illness perceptions in patients with chronic low back pain: a randomized controlled trial. Phys Ther. 2013;93:435–48. https://doi.org/10.2522/ptj.20110150 .
doi: 10.2522/ptj.20110150 pubmed: 23162040
Broadbent E, Leggat A, McLachlan A, et al. Providing cardiovascular risk management information to acute coronary syndrome patients: a randomized trial. Br J Health Psychol. 2013;18:83–94. https://doi.org/10.1111/j.2044-8287.2012.02081.x .
doi: 10.1111/j.2044-8287.2012.02081.x pubmed: 22709363
Keogh KM, Smith SM, White P, et al. Psychological family intervention for poorly controlled type 2 diabetes. Am J Managed Care. 2011;17:105–13.
Snippen NC, de Vries HJ, Bosma A, et al. Workers’ views on involving significant others in occupational health services. A focus group study. Disabil Rehabil. 2021;44(26):8252–63. https://doi.org/10.1080/09638288.2021.2011435 .
doi: 10.1080/09638288.2021.2011435 pubmed: 34904485

Auteurs

Haitze J de Vries (HJ)

Department of Health Sciences, Community and Occupational Medicine, University of Groningen, University Medical Center Groningen, PO Box 196, 9700 AD, Groningen, The Netherlands. h.j.de.vries@umcg.nl.

Nicole C Snippen (NC)

Department of Health Sciences, Community and Occupational Medicine, University of Groningen, University Medical Center Groningen, PO Box 196, 9700 AD, Groningen, The Netherlands.

Corné A M Roelen (CAM)

Department of Health Sciences, Community and Occupational Medicine, University of Groningen, University Medical Center Groningen, PO Box 196, 9700 AD, Groningen, The Netherlands.
Arbo Unie, Nieuwegein, The Netherlands.

Mariët Hagedoorn (M)

Department of Health Sciences, Health Psychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Sandra Brouwer (S)

Department of Health Sciences, Community and Occupational Medicine, University of Groningen, University Medical Center Groningen, PO Box 196, 9700 AD, Groningen, The Netherlands.

Classifications MeSH