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Associations between Coping Profile and Work Performance in a Cohort of Japanese Employees

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  • Yuichiro Otsuka

    (Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, 30-1 Oyaguchi-kamimachi, Itabasi-ku, Tokyo 173-8610, Japan)

  • Osamu Itani

    (Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, 30-1 Oyaguchi-kamimachi, Itabasi-ku, Tokyo 173-8610, Japan)

  • Yuuki Matsumoto

    (Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, 30-1 Oyaguchi-kamimachi, Itabasi-ku, Tokyo 173-8610, Japan)

  • Yoshitaka Kaneita

    (Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, 30-1 Oyaguchi-kamimachi, Itabasi-ku, Tokyo 173-8610, Japan)

Abstract

This study aimed to investigate the effects of coping profiles on work performance. Data were collected during a 2-year prospective cohort study of 1359 employees in Japan. Participants completed a self-administered questionnaire in 2018 (T1; baseline) and again in 2020 (T2; followup; followup rate: 69.8%) to enable the assessment of work performance, perceived stress, and stress coping profiles at T1 and T2. Multivariate logistic regression models and causal mediation analysis were performed to identify the effects of coping profiles on work performance. Covariates included age, sex, company, job type, employment status, working hours, holidays, and lifestyle behaviors (e.g., smoking, sleep duration). A dysfunctional coping profile (β = −1.17 [95% CI, −2.28 to −0.06], p = 0.039) was negatively associated with work performance. Coping profiles of planning (β = 0.86 [95% CI, 0.07–1.66]) and self-blame (β = −1.33 [95% CI, −1.96 to −0.70], p < 0.001) were significantly associated with work performance. Dysfunctional coping, specifically, self-blame (β = −1.22 [95% CI, −1.83 to −0.61]), mediated the association between stress and work performance. Thus, some coping profiles may lead to an increase or decrease in work performance. The possible impact of coping strategies on workers’ productivity requires further exploration. Furthermore, information on effective coping profiles should be incorporated into occupational health examinations.

Suggested Citation

  • Yuichiro Otsuka & Osamu Itani & Yuuki Matsumoto & Yoshitaka Kaneita, 2022. "Associations between Coping Profile and Work Performance in a Cohort of Japanese Employees," IJERPH, MDPI, vol. 19(8), pages 1-13, April.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4806-:d:794588
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    References listed on IDEAS

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    1. James Campbell Quick & Demetria F. Henderson, 2016. "Occupational Stress: Preventing Suffering, Enhancing Wellbeing," IJERPH, MDPI, vol. 13(5), pages 1-11, April.
    2. Royston, Patrick & White, Ian R., 2011. "Multiple Imputation by Chained Equations (MICE): Implementation in Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i04).
    3. Jee-Hyun Hwang & Hye-Sun Jung, 2021. "The Effects of Work Characteristics Related to Work–Life Imbalance on Presenteeism among Female Workers in the Health and Social Work Sectors: Mediation Analysis of Psychological and Physical Health P," IJERPH, MDPI, vol. 18(12), pages 1-15, June.
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    1. Ewa Sygit-Kowalkowska & Andrzej Piotrowski & Ole Boe & Samir Rawat & Jelena Minic & Alexandra Predoiu & Radu Predoiu & Žermēna Vazne & Andra Fernate & Romualdas Malinauskas & Nguyen Phuc Nguyen & John, 2022. "Evaluation of Work Mode and Its Importance for Home–Work and Work–Home Relationships: The Role of Resilience, Coping with Stress, and Passion for Work," IJERPH, MDPI, vol. 19(21), pages 1-19, November.

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