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International Archives of Occupational and Environmental Health

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30.05.2021 | Original Article

Associations between work-related stressors and QALY in a general working population in Japan: a cross-sectional study

verfasst von: Yui Hidaka, Kotaro Imamura, Kazuhiro Watanabe, Akizumi Tsutsumi, Akihito Shimazu, Akiomi Inoue, Hisanori Hiro, Yuko Odagiri, Yumi Asai, Toru Yoshikawa, Etsuko Yoshikawa, Norito Kawakami

Erschienen in: International Archives of Occupational and Environmental Health | Ausgabe 6/2021

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Abstract

Objective

To investigate an association between quality-adjusted life years (QALY) and work-related stressors (job strain, effort/reward imbalance, and poor support from supervisor and coworkers), and estimate loss in QALY caused by these stressors.

Methods

A cross-sectional study investigated data from a third-wave survey (in December 2017) of a 2-year prospective cohort study of Japanese workers. At baseline (first-wave survey), 5000 participants were recruited from workers who registered with an internet survey company. A total of 2530 participants responded to the second-wave survey 1 year later. Participants were then further recruited to the third-wave survey. An online questionnaire collected information regarding health-related quality of life (measured by EQ-5D-5L), job strain, supervisor and coworker support (Brief Job Stress Questionnaire), effort/reward imbalance (Effort/reward Imbalance Questionnaire), and demographic variables (age, sex, education, occupation, work contract, smoking, and alcohol drinking). Multiple linear regression analysis of the QALY score calculated from responses to EQ-5D-5L was employed on standardized scores of the work-related stressors and adjusted for demographic variables (SPSS version 26).

Results

Data of 1986 participants were analyzed. Job strain (unstandardized coefficient, b = − 0.013, p < 0.01) and effort/reward imbalance (b = − 0.011, p < 0.01) and coworker support (b = 0017, p < 0.01) were significantly associated with QALY score in the fully adjusted model.

Conclusion

Job strain, effort/reward imbalance, and poor coworker support may be associated with a reduced QALY score among workers. A substantial impairment in QALY associated with the work-related stressors indicates that workplace interventions targeting work-related stressors may be cost-effective.

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Chiaburu DS, Harrison DA (2008) Do peers make the place? conceptual synthesis and meta-analysis of coworker effects on perceptions, attitudes, OCBs, and performance. J Appl Psychol 93:1082–1103. https://doi.org/10.1037/0021-9010.93.5.1082CrossRef

Erdfelder E, FAul F, Buchner A, Lang AG, (2009) Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav Res Methods 41:1149–1160. https://doi.org/10.3758/BRM.41.4.1149CrossRef

Faul F, Erdfelder E, Lang AG, Buchner A (2007) G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 39:175–191CrossRef

Ferreira LN, Ferreira PL, Pereira LN et al (2013) Exploring the consistency of the SF-6D. Value Heal 16(6):1023–1031. https://doi.org/10.1016/j.jval.2013.06.018CrossRef

Guyatt GH, Feeny DH, Patrick DL (1993) Measuring health-related quality of life. Ann Intern Med 118:622–629CrossRef

Harvey SB, Modini M, Joyce S et al (2017) Can work make you mentally ill? A systematic meta-review of work-related risk factors for common mental health problems. Occup Environ Med 74:301–310. https://doi.org/10.1136/oemed-2016-104015CrossRef

Herdman M, Gudex C, Lloyd A et al (2011) Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res 20:1727–1736. https://doi.org/10.1007/s11136-011-9903-xCrossRef

Herr RM, Bosch JA, Loerbroks A et al (2015) Three job stress models and their relationship with musculoskeletal pain in blue- and white-collar workers. J Psychosom Res 79:340–347. https://doi.org/10.1016/j.jpsychores.2015.08.001CrossRef

Hoogendoorn WE, Van Poppel MNM, Bongers PM et al (2000) Systematic review of psychosocial factors at work and private life as risk factors for back pain. Spine 25:2114–2125. https://doi.org/10.1097/00007632-200008150-00017CrossRef

Horsman J, Furlong W, Feeny D, Torrance G (2003) The Health Utilities Index (HUI®): Concepts, measurement properties and applications. Health Qual Life Outcomes 1(1):54CrossRef

Ikeda S, Shiroiwa T, Igarashi A et al (2015) Developing a Japanese version of the EQ-5D-5L value set. J Natl Inst Public Heal 64:47–55

Inoue A, Kawakami N, Shimomitsu T et al (2014) Development of a short questionnaire to measure an extended set of job demands, job resources, and positive health outcomes: the new brief job stress questionnaire. Ind Health 52:175–189. https://doi.org/10.2486/indhealth.2013-0185CrossRef

Karasek RA (1979) Job demands, job decision latitude, and mental strain: implications for job redesign. Adm Sci Q 24:285. https://doi.org/10.2307/2392498CrossRef

Kivimäki M, Virtanen M, Elovainio M et al (2006) Work stress in the etiology of coronary heart disease—a meta-analysis. Scand J Work Environ Heal 32:431–442. https://doi.org/10.5271/sjweh.1049CrossRef

Krause N, Rugulies R, Maslach C (2010) Effort-reward imbalance at work and self-rated health of Las Vegas hotel room cleaners. Am J Ind Med 53:372–386. https://doi.org/10.1002/ajim.20732CrossRef

Kurioka S, Inoue A, Tsutsumi A (2013) Optimum cut-off point of the Japanese short version of the effort-reward imbalance questionnaire. J Occup Health. https://doi.org/10.1539/joh.12-0235-OACrossRef

Lang J, Ochsmann E, Kraus T, Lang JWB (2012) Psychosocial work stressors as antecedents of musculoskeletal problems: a systematic review and meta-analysis of stability-adjusted longitudinal studies. Soc Sci Med 75(7):1163–1174. https://doi.org/10.1016/j.socscimed.2012.04.015CrossRef

La Torre G, Sestili C, Mannocci A et al (2018) Association betweenwork related stress and health related quality of life: the impact of socio-demographic variables. a cross sectional study in a region of central Italy. Int J Environ Res Public Health 15:1–9. https://doi.org/10.3390/ijerph15010159CrossRef

Liu C, Wang L, Zhao Q (2015) Factors related to health-related quality of life among Chinese psychiatrists: occupational stress and psychological capital. BMC Health Serv Res 15:1–10. https://doi.org/10.1186/s12913-015-0677-7CrossRef

McCabe C, Claxton K, Culyer AJ (2008) The NICE cost-effectiveness threshold: what it is and what that means. Pharmacoeconomics 26:733–744. https://doi.org/10.2165/00019053-200826090-00004CrossRef

McDonald M, Dibonaventura MD, Ullman S (2011) Musculoskeletal pain in the workforce: the effects of back, arthritis, and fibromyalgia pain on quality of life and work productivity. J Occup Environ Med 53:765–770. https://doi.org/10.1097/JOM.0b013e318222af81CrossRef

Ministry of Internal Affairs and Communications, Japan (2017) National Labor Force Survey, December 2012, Ministry of Internal Affairs and Communications, Japan, Tokyo. (in Japanese).

Netterstrøm B, Conrad N, Bech P et al (2008) The relation between work-related psychosocial factors and the development of depression. Epidemiol Rev 30:118–132. https://doi.org/10.1093/epirev/mxn004CrossRef

Sarafis P, Rousaki E, Tsounis A et al (2016) The impact of occupational stress on nurses’ caring behaviors and their health related quality of life. BMC Nurs 15:1–9. https://doi.org/10.1186/s12912-016-0178-yCrossRef

Sassi F (2006) Calculating QALYs, comparing QALY and DALY calculations. Health Policy Plan 21:402–408. https://doi.org/10.1093/heapol/czl018CrossRef

Shimomitsu, T. (2000). The final development of the Brief Job Stress Questionnaire mainly used for assessment of individuals, The Ministry of Labour sponsored grant for the prevention of work-related illness. The 1999 research report, 117–164.

Siegrist J, Wege N, Pühlhofer F, Wahrendorf M (2009) A short generic measure of work stress in the era of globalization: Effort-reward imbalance. Int Arch Occup Environ Health. 82(8):1005–1013. https://doi.org/10.1007/s00420-008-0384-3CrossRef

Sjöberg A, Pettersson-Strömbäck A, Sahlén KG et al (2020) The burden of high workload on the health-related quality of life among home care workers in Northern Sweden. Int Arch Occup Environ Health. https://doi.org/10.1007/s00420-020-01530-9CrossRef

Tengland PA (2006) The goals of health work: Quality of life, health and welfare. Med Heal Care Philos 9:155–167. https://doi.org/10.1007/s11019-005-5642-5CrossRef

Van Wilder L, Rammant E, Clays E et al (2019) A comprehensive catalogue of EQ-5D scores in chronic disease: results of a systematic review. Qual Life Res 28:3153–3161. https://doi.org/10.1007/s11136-019-02300-yCrossRef

Vandenbroucke JP, Von Elm E, Altman DG et al (2007) Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration. PLoS Med. https://doi.org/10.1371/journal.pmed.0040297CrossRef

Weinstein MC, Torrance G, McGuire A (2009) QALYs: the basics. Value Heal 12:S5–S9. https://doi.org/10.1111/j.1524-4733.2009.00515.xCrossRef

Whitehead SJ, Ali S (2010) Health outcomes in economic evaluation: the QALY and utilities. Br Med Bull 96:5–21. https://doi.org/10.1093/bmb/ldq033CrossRef

Yamada K, Matsudaira K, Imano H et al (2016) Influence of work-related psychosocial factors on the prevalence of chronic pain and quality of life in patients with chronic pain. BMJ Open. https://doi.org/10.1136/bmjopen-2015-010356CrossRef

Titel: Associations between work-related stressors and QALY in a general working population in Japan: a cross-sectional study
verfasst von: Yui Hidaka
Kotaro Imamura
Kazuhiro Watanabe
Akizumi Tsutsumi
Akihito Shimazu
Akiomi Inoue
Hisanori Hiro
Yuko Odagiri
Yumi Asai
Toru Yoshikawa
Etsuko Yoshikawa
Norito Kawakami
Publikationsdatum: 30.05.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: International Archives of Occupational and Environmental Health / Ausgabe 6/2021
Print ISSN: 0340-0131
Elektronische ISSN: 1432-1246
DOI: https://doi.org/10.1007/s00420-021-01710-1

Springer Medizin

Abstract

Objective

Methods

Results

Conclusion

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