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Work Fatigue Profiles: Nature, Implications, and Associations With Psychological Empowerment.

ABSTRACT: The present study examined the distinct configurations, or profiles, taken by work fatigue dimensions among samples of military (n = 1,436) and civilian (n = 2,477) employees. We also tested profile similarity across these two samples of employees. In addition, this research documented the relations between the identified work fatigue profiles, one predictor variable (psychological empowerment), and a series of attitudinal outcomes (job satisfaction, career satisfaction, and turnover intentions) among military employees. Six profiles of employees characterized by different levels of global and specific (emotional, physical, and mental) work fatigue were identified using latent profile analyses: Low Fatigue, Physically and Emotionally Depleted, Emotionally Depleted, Globally and Mentally Depleted, Globally and Emotionally Depleted, and Balanced. In both samples, employees corresponding to the Balanced profile displayed average levels of global and specific work fatigue. However, this profile slightly differed across sample, as indicated by the observation of work fatigue levels that were slightly higher among the military than among civilians. Militaries' perceptions of psychological empowerment were significantly related to their likelihood of belonging to all profiles. In turn, militaries' career satisfaction, job satisfaction, and turnover intentions were also found to differ as a function of profile membership.

SUBMITTER: Blais AR

PROVIDER: S-EPMC7732697 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Work Fatigue Profiles: Nature, Implications, and Associations With Psychological Empowerment.

Blais Ann-Renée AR Gillet Nicolas N Houle Simon A SA Comeau Caitlin A CA Morin Alexandre J S AJS

Frontiers in psychology 20201126

The present study examined the distinct configurations, or profiles, taken by work fatigue dimensions among samples of military (<i>n</i> = 1,436) and civilian (<i>n</i> = 2,477) employees. We also tested profile similarity across these two samples of employees. In addition, this research documented the relations between the identified work fatigue profiles, one predictor variable (psychological empowerment), and a series of attitudinal outcomes (job satisfaction, career satisfaction, and turnov ...[more]

PMID: 33329261

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Project description:AimTo investigate whether pain, sleep duration, insomnia, sleepiness, work-related factors, anxiety, and depression associate with excessive fatigue in nurses.BackgroundFatigue among nurses is a problem in the context of ongoing nursing shortages. While myriad factors are associated with fatigue not all relationships are understood. Prior studies have not examined excessive fatigue in the context of pain, sleep, mental health, and work factors in a working population to determine if associations between excessive fatigue and each of these factors remain when adjusting for each other.MethodsA cross-sectional questionnaire study among 1,335 Norwegian nurses. The questionnaire included measures for fatigue (Chalder Fatigue Questionnaire, score ≥4 categorized as excessive fatigue), pain, sleep duration, insomnia (Bergen Insomnia Scale), daytime sleepiness (Epworth Sleepiness Scale), anxiety and depression (Hospital Anxiety and Depression Scale), and work-related factors. Associations between the exposure variables and excessive fatigue were analyzed using chi-square tests and logistic regression analyses.ResultsIn the fully adjusted model, significant associations were found between excessive fatigue and pain severity scores for arms/wrists/hands (adjusted OR (aOR) = 1.09, CI = 1.02-1.17), hips/legs/knees/feet (aOR = 1.11, CI = 1.05-1.18), and headaches/migraines (aOR = 1.16, CI = 1.07-1.27), sleep duration of <6 hours (aOR = 2.02, CI = 1.08-3.77), and total symptom scores for insomnia (aOR = 1.05, CI = 1.03-1.08), sleepiness (aOR = 1.11, CI = 1.06-1.17), anxiety (aOR = 1.09, CI = 1.03-1.16), and depression (aOR = 1.24, CI = 1.16-1.33). The musculoskeletal complaint-severity index score (aOR = 1.27, CI = 1.13-1.42) was associated with excessive fatigue in a separate model adjusted for all variables and demographics. Excessive fatigue was also associated with shift work disorder (OR = 2.25, CI = 1.76-2.89) in a model adjusted for demographics. We found no associations with shift work, number of night shifts and number of quick returns (<11 hours between shifts) in the fully adjusted model.ConclusionExcessive fatigue was associated with pain, sleep- and mental health-factors in a fully adjusted model.

Project description:BACKGROUND: Night work has been reported to be associated with various mental disorders and complaints. We investigated relationships between night work and anxiety, depression, insomnia, sleepiness and fatigue among Norwegian nurses. METHODS: The study design was cross-sectional, based on validated self-assessment questionnaires. A total of 5400 nurses were invited to participate in a health survey through the Norwegian Nurses' Organization, whereof 2059 agreed to participate (response rate 38.1%). Nurses completed a questionnaire containing items on demographic variables (gender, age, years of experience as a nurse, marital status and children living at home), work schedule, anxiety/depression (Hospital Anxiety and Depression Scale), insomnia (Bergen Insomnia Scale), sleepiness (Epworth Sleepiness Scale) and fatigue (Fatigue Questionnaire). They were also asked to report number of night shifts in the last 12 months (NNL). First, the parameters were compared between nurses i) never working nights, ii) currently working nights, and iii) previously working nights, using binary logistic regression analyses. Subsequently, a cumulative approach was used investigating associations between NNL with the continuous scores on the same dependent variables in hierarchical multiple regression analyses. RESULTS: Nurses with current night work were more often categorized with insomnia (OR = 1.48, 95% CI = 1.10-1.99) and chronic fatigue (OR = 1.78, 95% CI = 1.02-3.11) than nurses with no night work experience. Previous night work experience was also associated with insomnia (OR = 1.45, 95% CI = 1.04-2.02). NNL was not associated with any parameters in the regression analyses. CONCLUSION: Nurses with current or previous night work reported more insomnia than nurses without any night work experience, and current night work was also associated with chronic fatigue. Anxiety, depression and sleepiness were not associated with night work, and no cumulative effect of night shifts during the last 12 months was found on any parameters.

Project description:BackgroundClinical decision-making is considered an essential behaviour in clinical practice. However, no research has been done to examine the associations among midwives' clinical decision-making, work environment and psychological empowerment. Thus, this study aimed to determine the influence of work environment on midwives' clinical decision-making and confirm the mediating role of psychological empowerment.MethodThis study was designed as a multicentre cross-sectional study, and included 602 registered midwives from 25 public hospitals in China. A sociodemographic questionnaire, Work Environment Scale, Psychological Empowerment Scale and Clinical decision-making Scale were applied. A structural equation model was conducted to estimate the hypothesis model of the clinical decision-making among midwives and explore the potential mediating mechanism of midwives' clinical decision-making. This model was employed maximum likelihood estimation method and bootstrapping to examine the statistical significance.ResultsThe mean score of clinical decision-making among midwives was 143.03 ± 14.22, at an intermediate level. The data of this hypothesis model fitted well, and the results showed that work environment positively affected psychological empowerment, which in turn positively affected clinical decision-making; psychological empowerment partly mediated the relationship between work environment and clinical decision-making among midwives.ConclusionsMidwives' clinical decision-making could be promoted directly or indirectly by providing a healthy work environment and improving psychological empowerment. It is essential for hospital managers to pay attention to the assessment of the midwives' work environment and actively improve it, such as establishing a supportive, fair and just workplace, and maintaining effective communication with midwives. Furthermore, managers can also promote midwives' clinical decision-making behaviour by enhancing their psychological empowerment via enhancing job autonomy.

Dataset Information

Work Fatigue Profiles: Nature, Implications, and Associations With Psychological Empowerment.

Publications

Work Fatigue Profiles: Nature, Implications, and Associations With Psychological Empowerment.

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