12-month trajectories of depressive symptoms among nurses—Contribution of personality, job characteristics, coping, and burnout

W. Duan-Porter, D. Hatch, J.F. Pendergast, G. Freude, U. Rose, H. Burr, G. Müller, P. Martus, A. Pohrt, G. Potter

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background: Job related factors have been associated with higher risk for developing depression, but past studies lacked full consideration of individual factors such as personality and coping. We sought to evaluate associations of personality, coping, job characteristics, and burnout with 12-month trajectories of depressive symptoms among nursing workers. Methods: Cohort of nursing workers (N = 281) in a private hospital system, with baseline assessments of personality, job characteristics, and coping. Burnout and depression were measured at baseline and during monthly follow-ups. Linear mixed modeling was used to examine contributions to between- and within-individual variation in monthly depressive symptoms. Results: Personality trait of negative affectivity accounted for 36% of between-individual variation in depressive symptoms over 12 months, while job characteristics and coping explained an additional 5% and 8% of this variation, respectively. Exhaustion dimension of burnout was associated with between-individual variation in depressive symptoms (fixed effect β coefficient 2.44, p <0.001), but not with within-individual variation in symptoms. Disengagement dimension of burnout was not associated with between-individual variation in depressive symptoms, but contributed to within-individual variation in depressive symptoms over time (fixed effect β coefficient 0.52, p = 0.01). Limitations: Participants were nursing workers within a single hospital system. Participants who were excluded due to missing baseline data were more likely of non-white race, which may also limit the generalizability of our results. We used latent variables to represent certain job and coping characteristics, which may make our results less comparable with other studies examining the role of these factors in work-associated depression. Conclusions: Future interventions to prevent depression in healthcare workers should consider multiple job and individual factors. Potential components include strategies to manage negative affectivity and reduce avoidant coping, such as cognitive reframing and mindfulness-based techniques, and organizational approaches to address burnout through augmentation of job resources. © 2018 Elsevier B.V.
Original languageEnglish
Pages (from-to)67-73
Number of pages7
JournalJournal of Affective Disorders
Volume234
DOIs
StatePublished - 2018

Fingerprint

Personality
Depression
Nursing
Personality Assessment
Mindfulness
Private Hospitals
Delivery of Health Care

Bibliographical note

Export Date: 26 December 2018

CODEN: JADID

Correspondence Address: Duan-Porter, W.; Minneapolis VA Health Care System HSR&D, One Veterans Dr, United States; email: wei.duanporter@va.gov

Funding details: Office of Academic Affiliations, Department of Veterans Affairs, OAA, VA, TPH 21-024

Funding details: U.S. Department of Veterans Affairs, VA

Funding details: National Institutes of Health, NIH

Funding details: National Institutes of Health, NIH, T32-AG000029

Funding details: Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, BAuA, F2318

Funding details: Claude D. Pepper Older Americans Independence Center, University of California San Francisco, P30AG028716

Funding text 1: This work was primarily supported by the German Federal Institute for Occupational Safety and Health ( Bundesanstalt für Arbeitsschutz und Arbeitsmedizin , BAuA: Project F2318 ) to promote cross-national measurement and understanding of workplace mental and cognitive health. BAuA authors participated in the initial design and conceptualization of the larger project, and provided review of current analyses and conclusions for this specific study. Support for Daniel Hatch was provided by the National Institutes of Health (NIH Grant No. T32-AG000029 ). Fellowship support for Wei Duan-Porter was provided by the U.S. Department of Veteran Affairs (VA) Office of Academic Affiliations (Grant No. TPH 21-024 ). Support for Jane F. Pendergast was provided by the Duke University Claude D. Pepper Older Americans Independence Center (NIH Grant No. P30AG028716 ). NIH and VA sponsors had no role in study design, data collection, analysis and interpretation of data, writing of the report, or decision to submit article for publication. Appendix A

Keywords

  • adult
  • aged
  • Article
  • burnout
  • cohort analysis
  • coping behavior
  • depression
  • disease course
  • disease duration
  • exhaustion
  • female
  • follow up
  • human
  • major clinical study
  • male
  • nurse
  • personality
  • priority journal
  • private hospital
  • work
  • job satisfaction
  • mental stress
  • middle aged
  • nursing staff
  • prospective study
  • psychology
  • statistics and numerical data
  • United States
  • Adaptation, Psychological
  • Adult
  • Aged
  • Burnout, Professional
  • Cohort Studies
  • Depression
  • Female
  • Humans
  • Job Satisfaction
  • Male
  • Middle Aged
  • Nursing Staff, Hospital
  • Personality
  • Prospective Studies
  • Southeastern United States
  • Stress, Psychological

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

Cite this

12-month trajectories of depressive symptoms among nurses—Contribution of personality, job characteristics, coping, and burnout. / Duan-Porter, W.; Hatch, D.; Pendergast, J.F.; Freude, G.; Rose, U.; Burr, H.; Müller, G.; Martus, P.; Pohrt, A.; Potter, G.

In: Journal of Affective Disorders, Vol. 234, 2018, p. 67-73.

Research output: Contribution to journalArticle

Duan-Porter, W. ; Hatch, D. ; Pendergast, J.F. ; Freude, G. ; Rose, U. ; Burr, H. ; Müller, G. ; Martus, P. ; Pohrt, A. ; Potter, G. / 12-month trajectories of depressive symptoms among nurses—Contribution of personality, job characteristics, coping, and burnout. In: Journal of Affective Disorders. 2018 ; Vol. 234. pp. 67-73.
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abstract = "Background: Job related factors have been associated with higher risk for developing depression, but past studies lacked full consideration of individual factors such as personality and coping. We sought to evaluate associations of personality, coping, job characteristics, and burnout with 12-month trajectories of depressive symptoms among nursing workers. Methods: Cohort of nursing workers (N = 281) in a private hospital system, with baseline assessments of personality, job characteristics, and coping. Burnout and depression were measured at baseline and during monthly follow-ups. Linear mixed modeling was used to examine contributions to between- and within-individual variation in monthly depressive symptoms. Results: Personality trait of negative affectivity accounted for 36{\%} of between-individual variation in depressive symptoms over 12 months, while job characteristics and coping explained an additional 5{\%} and 8{\%} of this variation, respectively. Exhaustion dimension of burnout was associated with between-individual variation in depressive symptoms (fixed effect β coefficient 2.44, p <0.001), but not with within-individual variation in symptoms. Disengagement dimension of burnout was not associated with between-individual variation in depressive symptoms, but contributed to within-individual variation in depressive symptoms over time (fixed effect β coefficient 0.52, p = 0.01). Limitations: Participants were nursing workers within a single hospital system. Participants who were excluded due to missing baseline data were more likely of non-white race, which may also limit the generalizability of our results. We used latent variables to represent certain job and coping characteristics, which may make our results less comparable with other studies examining the role of these factors in work-associated depression. Conclusions: Future interventions to prevent depression in healthcare workers should consider multiple job and individual factors. Potential components include strategies to manage negative affectivity and reduce avoidant coping, such as cognitive reframing and mindfulness-based techniques, and organizational approaches to address burnout through augmentation of job resources. {\circledC} 2018 Elsevier B.V.",
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T1 - 12-month trajectories of depressive symptoms among nurses—Contribution of personality, job characteristics, coping, and burnout

AU - Duan-Porter, W.

AU - Hatch, D.

AU - Pendergast, J.F.

AU - Freude, G.

AU - Rose, U.

AU - Burr, H.

AU - Müller, G.

AU - Martus, P.

AU - Pohrt, A.

AU - Potter, G.

N1 - Export Date: 26 December 2018 CODEN: JADID Correspondence Address: Duan-Porter, W.; Minneapolis VA Health Care System HSR&D, One Veterans Dr, United States; email: wei.duanporter@va.gov Funding details: Office of Academic Affiliations, Department of Veterans Affairs, OAA, VA, TPH 21-024 Funding details: U.S. Department of Veterans Affairs, VA Funding details: National Institutes of Health, NIH Funding details: National Institutes of Health, NIH, T32-AG000029 Funding details: Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, BAuA, F2318 Funding details: Claude D. Pepper Older Americans Independence Center, University of California San Francisco, P30AG028716 Funding text 1: This work was primarily supported by the German Federal Institute for Occupational Safety and Health ( Bundesanstalt für Arbeitsschutz und Arbeitsmedizin , BAuA: Project F2318 ) to promote cross-national measurement and understanding of workplace mental and cognitive health. BAuA authors participated in the initial design and conceptualization of the larger project, and provided review of current analyses and conclusions for this specific study. Support for Daniel Hatch was provided by the National Institutes of Health (NIH Grant No. T32-AG000029 ). Fellowship support for Wei Duan-Porter was provided by the U.S. Department of Veteran Affairs (VA) Office of Academic Affiliations (Grant No. TPH 21-024 ). Support for Jane F. Pendergast was provided by the Duke University Claude D. Pepper Older Americans Independence Center (NIH Grant No. P30AG028716 ). NIH and VA sponsors had no role in study design, data collection, analysis and interpretation of data, writing of the report, or decision to submit article for publication. Appendix A

PY - 2018

Y1 - 2018

N2 - Background: Job related factors have been associated with higher risk for developing depression, but past studies lacked full consideration of individual factors such as personality and coping. We sought to evaluate associations of personality, coping, job characteristics, and burnout with 12-month trajectories of depressive symptoms among nursing workers. Methods: Cohort of nursing workers (N = 281) in a private hospital system, with baseline assessments of personality, job characteristics, and coping. Burnout and depression were measured at baseline and during monthly follow-ups. Linear mixed modeling was used to examine contributions to between- and within-individual variation in monthly depressive symptoms. Results: Personality trait of negative affectivity accounted for 36% of between-individual variation in depressive symptoms over 12 months, while job characteristics and coping explained an additional 5% and 8% of this variation, respectively. Exhaustion dimension of burnout was associated with between-individual variation in depressive symptoms (fixed effect β coefficient 2.44, p <0.001), but not with within-individual variation in symptoms. Disengagement dimension of burnout was not associated with between-individual variation in depressive symptoms, but contributed to within-individual variation in depressive symptoms over time (fixed effect β coefficient 0.52, p = 0.01). Limitations: Participants were nursing workers within a single hospital system. Participants who were excluded due to missing baseline data were more likely of non-white race, which may also limit the generalizability of our results. We used latent variables to represent certain job and coping characteristics, which may make our results less comparable with other studies examining the role of these factors in work-associated depression. Conclusions: Future interventions to prevent depression in healthcare workers should consider multiple job and individual factors. Potential components include strategies to manage negative affectivity and reduce avoidant coping, such as cognitive reframing and mindfulness-based techniques, and organizational approaches to address burnout through augmentation of job resources. © 2018 Elsevier B.V.

AB - Background: Job related factors have been associated with higher risk for developing depression, but past studies lacked full consideration of individual factors such as personality and coping. We sought to evaluate associations of personality, coping, job characteristics, and burnout with 12-month trajectories of depressive symptoms among nursing workers. Methods: Cohort of nursing workers (N = 281) in a private hospital system, with baseline assessments of personality, job characteristics, and coping. Burnout and depression were measured at baseline and during monthly follow-ups. Linear mixed modeling was used to examine contributions to between- and within-individual variation in monthly depressive symptoms. Results: Personality trait of negative affectivity accounted for 36% of between-individual variation in depressive symptoms over 12 months, while job characteristics and coping explained an additional 5% and 8% of this variation, respectively. Exhaustion dimension of burnout was associated with between-individual variation in depressive symptoms (fixed effect β coefficient 2.44, p <0.001), but not with within-individual variation in symptoms. Disengagement dimension of burnout was not associated with between-individual variation in depressive symptoms, but contributed to within-individual variation in depressive symptoms over time (fixed effect β coefficient 0.52, p = 0.01). Limitations: Participants were nursing workers within a single hospital system. Participants who were excluded due to missing baseline data were more likely of non-white race, which may also limit the generalizability of our results. We used latent variables to represent certain job and coping characteristics, which may make our results less comparable with other studies examining the role of these factors in work-associated depression. Conclusions: Future interventions to prevent depression in healthcare workers should consider multiple job and individual factors. Potential components include strategies to manage negative affectivity and reduce avoidant coping, such as cognitive reframing and mindfulness-based techniques, and organizational approaches to address burnout through augmentation of job resources. © 2018 Elsevier B.V.

KW - adult

KW - aged

KW - Article

KW - burnout

KW - cohort analysis

KW - coping behavior

KW - depression

KW - disease course

KW - disease duration

KW - exhaustion

KW - female

KW - follow up

KW - human

KW - major clinical study

KW - male

KW - nurse

KW - personality

KW - priority journal

KW - private hospital

KW - work

KW - job satisfaction

KW - mental stress

KW - middle aged

KW - nursing staff

KW - prospective study

KW - psychology

KW - statistics and numerical data

KW - United States

KW - Adaptation, Psychological

KW - Adult

KW - Aged

KW - Burnout, Professional

KW - Cohort Studies

KW - Depression

KW - Female

KW - Humans

KW - Job Satisfaction

KW - Male

KW - Middle Aged

KW - Nursing Staff, Hospital

KW - Personality

KW - Prospective Studies

KW - Southeastern United States

KW - Stress, Psychological

U2 - 10.1016/j.jad.2018.02.090

DO - 10.1016/j.jad.2018.02.090

M3 - Article

VL - 234

SP - 67

EP - 73

JO - Journal of Affective Disorders

JF - Journal of Affective Disorders

SN - 0165-0327

ER -