Association of sleep disturbance with shift work, occupational stress, and musculoskeletal pain in Chinese public hospital emergency workers: A multicentre cross-sectional study

Dong, Hongyun; Zhang, Qiong; Zhang, Zhenkun; Zhu, Chunji

doi:10.1080/07420528.2022.2048662

Cited by 5 publications

(5 citation statements)

References 35 publications

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“…The number of participants in each study ranged from 11 (Wehrens et al, 2012) to 27 637 (Xu et al, 2023) in the shift work groups and from 14 (Geliebter et al, 2000;Wehrens et al, 2012;Yoshizaki et al, 2013) to 197 597 (Ho et al, 2022) Female and man participants ranged from 24.4 ± 2.9 years (Morikawa et al, 2008) to 56.3 ± 8.5 years (Lavie & Lavie, 2007) in the shift group and from 25.2 ± 2.9 years to 55.5 ± 3.6 years (Kubo et al, 2011). The mean period of exposure to shift work ranged from 2.1 ± 2.2 (Morikawa et al, 2008) to 28.6 ± 4.2 years (Dong et al, 2022). Thirteen studies included Asian workers, 10 studies included workers from other regions, and the rest of the studies did not characterize their target population.…”

Section: Population and Study Characteristicsmentioning

confidence: 99%

The effect of shift work on body mass index: A systematic review and meta‐analysis of observational studies

Łagowska,

Kuleta‐Koberska,

Michalak

et al. 2024

American J Hum Biol

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ContextShift work involves working outside the standard working hours of 9 am to 5 pm Monday to Friday and may include working evening, night, weekend, or rotating shift patterns. Since shift workers sleep less and their circadian rhythms are disrupted, they are reported to have higher body weight than day workers.ObjectiveThis meta‐analysis aims to determine whether shift workers (SW) are more prone to higher body mass index (BMI) than their day workers (DW) counterparts. It also addresses the question of whether the duration of shift work exposure, sex, or occupational type affect BMI value.MethodsFour databases that is PubMed, EBSCO Host, Scopus, and Web of Science were searched for reports published up to October 2023.ResultsSixty‐three studies involving a total of 693 449 participants met our inclusion criteria. Meta‐analyses showed a significant effect of shift work on BMI value (standard mean difference; SMD: 0.10 kg/m2 [95% confidence interval; 95% CI: 0.07; 0.13; p < .001]) as compared with non‐shift counterparts. Subgroup analysis revealed that shift work significantly increased BMI for studies where male working on this job schedule (SMD: 0.10 kg/m2 [95% CI: 0.04; 0.17; p = .0018]) for studies where shift workers worked ≥13 years (calculated as the median of shift work experience; SMD: 0.14 kg/m2 [95% CI: 0.10; 0.18; p < .001]) as well as for studies where industrial (SMD: 0.12 kg/m2 [95% CI: 0.05; 0.19; p = .0012]) and other type of occupations were dominated (0.12 kg/m2 [95% CI: 0.07; 0.16; p < .001]).ConclusionsWe found that in general working on a shift schedule increases BMI as compared with day workers, especially in case of male employed in this job schedule, for shift workers working for long periods of time (≥13 years), and for shift workers employed in industry and other type of occupations(e.g., airline workers, firefighters, police officers, blue collar, security personnel, bus drivers, garbage collectors, railway workers, postal, oil and gas workers).

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Section: Population and Study Characteristicsmentioning

confidence: 99%

The effect of shift work on body mass index: A systematic review and meta‐analysis of observational studies

Łagowska,

Kuleta‐Koberska,

Michalak

et al. 2024

American J Hum Biol

View full text Add to dashboard Cite

show abstract

“…Psychological factors have received repeated attention, including depression and anxiety 9,34,51 mental health, 30,58,64 cognitive impairments, 54 avoidance, 31 and psychological capital. 32 Other workplace-related factors 9,53,56,63,67 have been found to impact both occupational stress and sleep quality. Gender, age, educational level, 30,56,57,63 lifestyle habits, 26,53,56 illnesses, 29,50,53,56 and pandemic situations 63,65 have also shown associations.…”

Section: Other Factorsmentioning

confidence: 99%

“…32 Other workplace-related factors 9,53,56,63,67 have been found to impact both occupational stress and sleep quality. Gender, age, educational level, 30,56,57,63 lifestyle habits, 26,53,56 illnesses, 29,50,53,56 and pandemic situations 63,65 have also shown associations. However, it is important to note that these factors may yield different results in different studies, being associated with either occupational stress, sleep quality, or showing no significant association.…”

Section: Other Factorsmentioning

confidence: 99%

Association Between Occupational Stress and Sleep Quality: A Systematic Review

Mao,

Raju,

Zabidi

2023

NSS

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Occupational stress and sleep quality are prevalent issues that can impact the physical and mental well-being of adults. An association between occupational stress and sleep quality has been found. However, this association is not entirely the same across different occupational groups. Additionally, variations are present in the research design and instruments employed.This systematic review aims to investigate the association between these two factors and identify gaps and limitations in current research. Articles published between January 1, 2011, and December 31, 2022, were retrieved from the WOS, Scopus, and PubMed databases. Out of 1225 articles, 38 studies met the predetermined inclusion and exclusion criteria and were included in the review. In the study, research designs, samples, instruments, and associations between occupational stress and sleep quality were statistically analyzed.These studies encompassed a diverse range of occupations, including both blue-collar and white-collar workers. Cross-sectional study is the most common research method. The Pittsburgh Sleep Quality Index (PSQI) was the most frequently utilized tool for assessing sleep quality, while there was a wide variety of measurement tools employed to assess occupational stress. The association between occupational stress and sleep quality consistently demonstrated a negative association, although the specific dimensions varied among studies. Moreover, several other factors were identified to have direct or indirect effects on occupational stress and sleep quality. For future research in this field, we propose four recommendations: (1) Consider utilizing objective measures to assess occupational stress and sleep quality. (2) Employ controlled experiments to further validate the causal relationship between occupational stress and sleep quality. (3) Investigate occupational groups that have received less attention. (4) Take into account the potential influence of other factors on occupational stress and sleep quality.

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“…Their findings report that general and occupational stress were reported to be significantly related to sleep disorders. However, another study found that in emergency HCWs, sleep disturbances are significantly associated with MSDs and occupational stress [ 27 ]. Moreover, according to studies, there is a bidirectional relationship between sleep problems and MSDs [ 28 , 29 ], whereby sleep disturbances have been found to exacerbate symptoms of MSDs, while MSDs hinder the ability to achieve restful sleep.…”

Section: Introductionmentioning

confidence: 99%

Hidden risk factors and the mediating role of sleep in work-related musculoskeletal discomforts

Darvishi,

Osmani,

Aghaei

et al. 2024

BMC Musculoskelet Disord

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Objective Musculoskeletal discomforts (MSDs) are prevalent occupational health issues that are associated with a wide range of risk factors. This study aimed to investigate some of the occupational hidden risk factors and the mediating role of sleep in work-related musculoskeletal discomforts. Methods In a cross-sectional study, the role of job stress and shift work as two hidden risk factors and sleep problems as the mediator in work-related musculoskeletal discomforts was investigated in 302 healthcare workers using the path analysis models. For this aim, healthcare workers’ Occupational Stress and musculoskeletal discomforts were evaluated using the Health and Safety Executive questionnaire and Cornell questionnaire, respectively. Moreover, the Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI) were used to examine the sleep characteristics of participants. Shift work and job stress as predictor variables and sleep characteristics as mediating variables were analyzed. Results The results showed that the path coefficients of job stress on indexes of quality sleep and insomnia severity were significant. Also, the path coefficient of shift work on quality sleep index was significant. In return, the path coefficients of shift work on the insomnia severity index were not significant. Additionally, there was a mutually significant association between indexes of quality sleep and the severity of insomnia and musculoskeletal discomforts. The direct effect coefficient of job stress on MSDs was significant, whereas the direct effect coefficient of shift work on MSDs was insignificant. This means that shift work alone does not significantly impact these disorders. Conclusion It would seem that shift work and job stress as two occupational hidden risk factors can mediate sleep indexes and indirectly play a critical role in the incidence of musculoskeletal discomforts. Moreover, sleep disorders and musculoskeletal discomforts are mutually related and have a bidirectional relationship.

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Association of sleep disturbance with shift work, occupational stress, and musculoskeletal pain in Chinese public hospital emergency workers: A multicentre cross-sectional study

Cited by 5 publications

References 35 publications

The effect of shift work on body mass index: A systematic review and meta‐analysis of observational studies

The effect of shift work on body mass index: A systematic review and meta‐analysis of observational studies

Association Between Occupational Stress and Sleep Quality: A Systematic Review

Hidden risk factors and the mediating role of sleep in work-related musculoskeletal discomforts

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