Literature DB >> 17590207

Psychological, lifestyle and coping contributors to chronic fatigue in shift-worker nurses.

Elias Samaha1, Sara Lal, Najwa Samaha, Jennifer Wyndham.   

Abstract

AIM: This paper is a report of a study to assess the following in shift-worker nurses: (1) the relationships amongst chronic fatigue and psychological variables including anxiety, mood and locus of control; (2) the relationships amongst chronic fatigue and a number of lifestyle factors such as shiftwork, sleep and exercise; and (3) various coping behaviours that best predict chronic fatigue.
BACKGROUND: In the shift-working population, individual psychological, lifestyle and coping differences influence fatigue levels. However, some of these factors are somewhat unexplored and their relative contribution to fatigue remains poorly understood. Methods. An exploratory design was adopted with 111 eldercare shift-worker nurses. Data were collected during 2006. Nurses completed self-administered questionnaires examining fatigue, anxiety, mood disturbance, locus of control, sleep, work, lifestyle and coping characteristics.
FINDINGS: Multiple regressions showed that mood disturbance, locus of control and trait anxiety are statistically significant predictors of chronic fatigue. Poor sleep quality was the lifestyle factor which most strongly contributed to fatigue. Other lifestyle predictors included higher workload perception, lack of exercise and the non-availability of support. Whilst problem-focused coping behaviours were not associated with fatigue, coping by using alcohol, letting emotions out and avoiding the situation significantly predicted chronic fatigue.
CONCLUSION: The challenge for improving the fatigue outcomes requires further investigation of the profile of a nurse who is at a high risk of fatigue, and then integrating this profile into a fatigue management programme which considers relative contributions of the psychological, lifestyle and coping factors.

Entities:  

Mesh:

Year:  2007        PMID: 17590207     DOI: 10.1111/j.1365-2648.2007.04338.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  20 in total

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2.  Post-Work Recovery from Fatigue and Sleep Episodes among Nurses Who Are Engaged in 16-Hour Night Shifts: A Prospective Observational Study.

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3.  The Mediating Role of Coping Style in the Relationship Between Sleep Quality and Burnout: A Cross-Sectional Study Among Psychiatric Nurses.

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Journal:  Front Psychiatry       Date:  2022-06-23       Impact factor: 5.435

Review 4.  Twenty-four/seven: a mixed-method systematic review of the off-shift literature.

Authors:  Pamela B de Cordova; Ciaran S Phibbs; Ann P Bartel; Patricia W Stone
Journal:  J Adv Nurs       Date:  2012-03-11       Impact factor: 3.187

5.  Morning-evening type and burnout level as factors influencing sleep quality of shift nurses: a questionnaire study.

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6.  Depression, Anxiety and Symptoms of Stress among Hong Kong Nurses: A Cross-sectional Study.

Authors:  Teris Cheung; Paul S F Yip
Journal:  Int J Environ Res Public Health       Date:  2015-09-07       Impact factor: 3.390

Review 7.  Prevention of fatigue and insomnia in shift workers-a review of non-pharmacological measures.

Authors:  Kneginja Richter; Jens Acker; Sophia Adam; Guenter Niklewski
Journal:  EPMA J       Date:  2016-08-02       Impact factor: 6.543

8.  The impact of shift work on the psychological and physical health of nurses in a general hospital: a comparison between rotating night shifts and day shifts.

Authors:  Paola Ferri; Matteo Guadi; Luigi Marcheselli; Sara Balduzzi; Daniela Magnani; Rosaria Di Lorenzo
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9.  Relationship Between Shift Work and Personality Traits of Nurses and Their Coping Strategies.

Authors:  Fereshteh Farzianpour; Saeadeh Ansari Nosrati; Abbas Rahimi Foroushani; Fateme Hasanpour; Zahra Khakdel Jelodar; Meysam Safi Keykale; Mohammad Bakhtiari; Niusha Shahidi Sadeghi
Journal:  Glob J Health Sci       Date:  2015-09-28

10.  The Association between Job-Related Psychosocial Factors and Prolonged Fatigue among Industrial Employees in Taiwan.

Authors:  Feng-Cheng Tang; Ren-Hau Li; Shu-Ling Huang
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

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