The Association Between Shift Work, Sleep Quality, and Health-Related Quality of Life Among Workers in the Logistics Industry.
The booming online shopping industry has accelerated the growth of logistic services, often subjecting workers to irregular schedules. This study aims to examine the association between night-shift work and health-related quality of life among logistics workers, with a special focus on the mediating...
| Publicado en: | Journal of Community Health Vol. 50; no. 3; pp. 406 - 416 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jun2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=185099783&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 185099783 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00945145 JCH jtl: Journal of Community Health issn: 00945145 maglogo: N pubinfo: dt: Jun2025 vid: 50 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 185099783 10.1007/s10900-024-01426-6 ppf: 406 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P size: 991KB tig: atl: The Association Between Shift Work, Sleep Quality, and Health-Related Quality of Life Among Workers in the Logistics Industry. aug: au: Xu, Qingyuan Li, Yanzhuo Xu, Qiaochu Wu, Yuxuan Ling, Chengxiu Jordan, Kelvin P. Chen, Ying affil: https://ror.org/03zmrmn05 Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, 215213, Suzhou, China https://ror.org/00340yn33 School of Medicine, Keele University, Keele, UK su: China Quality of work life Health status indicators Shift systems Industrial hygiene Questionnaires Structural equation modeling Descriptive statistics Industries Sleep quality Factor analysis Regression analysis sug: subj: Quality of work life Health status indicators Shift systems Industrial hygiene China Questionnaires Structural equation modeling Descriptive statistics Industries Sleep quality Factor analysis Regression analysis keyword: Health status Insomnia Logistics worker Medical and Health Sciences Public Health and Health Services Night-shift work Occupational health Population survey Health status Insomnia Logistics worker Medical and Health Sciences Public Health and Health Services Night-shift work Occupational health Population survey ab: The booming online shopping industry has accelerated the growth of logistic services, often subjecting workers to irregular schedules. This study aims to examine the association between night-shift work and health-related quality of life among logistics workers, with a special focus on the mediating role of sleep characteristics. A survey was conducted among logistics workers across China, who filled out an online questionnaire. The questionnaire collected information about shift work, sleep characteristics, health-related quality of life, various sociodemographic factors, and specific job categories. The Insomnia Severity Index measured sleep quality, while the 12-Item Short Form Health Survey assessed health-related quality of life, including the physical and mental components. Linear regression analysis and structural equation modeling were used to examine the proposed associations and conduct mediation analysis, respectively. Out of the 484 respondents, 352 (72.7%) worked night shifts. These workers were predominantly males, smokers, alcohol users, less educated, and those with longer working hours involved in goods transportation and distribution. Our results showed a considerable trend of declining general health when transitioning from day to night shifts. There was a negative association between the frequency of night shift work and physical health. Specifically, those who worked more than 12 night shifts a month reported poorer health compared to those working permanent daytime, after adjustments for confounding variables. Sleep quality emerged as a significant mediator in this relationship. Our findings underscore the need to prioritize improving sleep quality to enhance the health and well-being of logistics workers. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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