Psychosocial work factors and sleep problems: findings from the French national SIP survey

Chazelle, Émilie; Chastang, Jean-François; Niedhammer, Isabelle

doi:10.1007/s00420-015-1087-1

Cited by 27 publications

(32 citation statements)

References 44 publications

(57 reference statements)

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“…Other studies reveal the relationship between stress and musculoskeletal problems [ 2 , 14 – 16 ]. At the same time, occupational stress might be the cause of severe depression [ 17 , 18 ] and insomnia [ 19 – 22 ], which itself conditions and promotes the labor absenteeism of those workers who suffer from it [ 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Recognition and Social Support on European Health Professionals’ Occupational Stress: A Demands-Control-Social Support-Recognition Bayesian Network Model

Herrero

López-García

Herrera

et al. 2017

BioMed Research International

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Healthcare professionals undergo high levels of occupational stress as a result of their working conditions. Thus, the aim of this study is to develop a model that focuses on healthcare professionals so as to analyze the influence that job demands, control, social support, and recognition have on the likelihood that a worker will experience stress. The data collected correspond to 2,211 healthcare workers from 35 countries, as reported in the sixth European Working Condition Survey (EWCS). The results obtained from this study allow us to infer stress under several working condition scenarios and to identify the more relevant variables in order to reduce this stress in healthcare professionals, which is of paramount importance to managing the stress of workers in this sector. The Bayesian network proposed indicates that emotional demands have a greater influence on raising the likelihood of stress due to workload than do family demands. The results show that the support of colleagues, in general, has less effect on reducing stress than social support from superiors. Furthermore, the sensitivity analysis shows that, in high-demand and low-control situations, recognition clearly impacts stress, drastically reducing it.

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Section: Introductionmentioning

confidence: 99%

The Influence of Recognition and Social Support on European Health Professionals’ Occupational Stress: A Demands-Control-Social Support-Recognition Bayesian Network Model

Herrero

López-García

Herrera

et al. 2017

BioMed Research International

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“…[17][18][19] According to previous research, occupational exposure to the environmental hazards of noise and vibration can play an important role in addressing the issue of fatigue, eye strain/headache, sleep disturbance, and insomnia of workers. [17][18][19] According to previous research, occupational exposure to the environmental hazards of noise and vibration can play an important role in addressing the issue of fatigue, eye strain/headache, sleep disturbance, and insomnia of workers.…”

mentioning

confidence: 99%

Symptoms of Nervous System Related Disorders Among Workers Exposed to Occupational Noise and Vibration in Korea

Lee

Roh

et al. 2017

Journal of Occupational &Amp; Environmental Medicine

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“…Self-reported insomnia symptoms are not a specific measure of clinical insomnia, but are commonly used in epidemiological studies. 12 , 20 , 21 , 37 We used a summary outcome of any insomnia symptoms, and to confirm the appropriateness of this approach, we conducted similar analyses for individual insomnia symptoms. The results were consistent with those presented.…”

Section: Discussionmentioning

confidence: 99%

Change in Job Strain as a Predictor of Change in Insomnia Symptoms: Analyzing Observational Data as a Non-randomized Pseudo-Trial

Halonen

Lallukka

Pentti

et al. 2016

Sleep

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Study objectives:To examine whether change in job strain leads to change in insomnia symptoms.Methods:Among 24873 adults (82% women, mean age 44 years) who participated in a minimum of three consecutive study waves (2000–2012), job strain was assessed at the first and second wave and insomnia symptoms at all three waves. We analyzed observational data as a “pseudo-trial” including participants with no job strain in the first wave and no insomnia symptoms in the first and second wave (n = 7354) to examine whether the onset of job strain between the first and second waves predicted the onset of insomnia symptoms in the third wave. We used a corresponding approach, including those with job strain in the first wave and insomnia symptoms in the first and second wave (n = 2332), to examine whether the disappearance of job strain between the first two waves predicted remission of insomnia symptoms in the third wave.Results:The onset of job strain predicted the onset of subsequent insomnia symptoms after adjustment for sex, age, marital status, education, smoking, physical activity, alcohol consumption, body mass index, and comorbidities (odds ratio compared to no onset of job strain 1.32, 95% CI 1.16–1.51). The disappearance of job strain was associated with lower odds of repeated insomnia symptoms (odds ratio compared to no disappearance of job strain 0.78, 95% CI 0.65–0.94). Further adjustment for shift work or sleep apnea did not change these associations.Conclusions:These results suggest that job strain is a modifiable risk factor for insomnia symptoms.

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Psychosocial work factors and sleep problems: findings from the French national SIP survey

Abstract: Classical and emergent psychosocial work factors were associated with sleep problems. More prospective studies and prevention policies may be needed.

Cited by 27 publications

References 44 publications

The Influence of Recognition and Social Support on European Health Professionals’ Occupational Stress: A Demands-Control-Social Support-Recognition Bayesian Network Model

The Influence of Recognition and Social Support on European Health Professionals’ Occupational Stress: A Demands-Control-Social Support-Recognition Bayesian Network Model

Symptoms of Nervous System Related Disorders Among Workers Exposed to Occupational Noise and Vibration in Korea

Change in Job Strain as a Predictor of Change in Insomnia Symptoms: Analyzing Observational Data as a Non-randomized Pseudo-Trial

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