Dataset Information

Association between shift work and poor sleep quality in an Asian multi-ethnic working population: A cross-sectional study.

ABSTRACT: BACKGROUND:We aimed to examine the association between shift work and sleep quality in a diverse occupational type. METHODS:This was a cross-sectional study of self-reported sleep quality in 424 workers aged ?21 using the Pittsburgh Sleep Quality Index (PSQI). We divided workers into two categories based on their PSQI score: (a) ?5 (good sleep quality) and (b) >5 (poor sleep quality). We used multiple logistic regressions to assess the association between shift work and sleep quality adjusted for potential confounders. RESULTS:The mean age was 39.2 (SD = 11.3) years, with shift workers being older than their counterparts. Most workers were of Chinese ethnicity (63.9%). Males were significantly more likely to undertake shift work than females (89% v 11%, p-value<0.001), but it should be noted that the majority of workers was male (78.8%) in this sample of workers. Shift workers had a 198% increased odds of poor sleep quality compared to non-shift workers (OR = 2.98; 95% CI:1.53-5.81). CONCLUSION:Shift work was significantly and independently associated with increased odds of poor sleep quality in this sample of workers. The present findings may inform employment guidelines and help develop workplace health promotion interventions aimed at improving sleep quality among workers and ultimately lead to a healthier workforce.

SUBMITTER: Thach TQ

PROVIDER: S-EPMC7055880 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Association between shift work and poor sleep quality in an Asian multi-ethnic working population: A cross-sectional study.

Thach Thuan-Quoc TQ Mahirah Dhiya D Dunleavy Gerard G Zhang Yichi Y Nazeha Nuraini N Rykov Yuri Y Nah Audrey A Roberts Adam Charles AC Christopoulos George I GI Soh Chee-Kiong CK Car Josip J

PloS one 20200304 3

<h4>Background</h4>We aimed to examine the association between shift work and sleep quality in a diverse occupational type.<h4>Methods</h4>This was a cross-sectional study of self-reported sleep quality in 424 workers aged ≥21 using the Pittsburgh Sleep Quality Index (PSQI). We divided workers into two categories based on their PSQI score: (a) ≤5 (good sleep quality) and (b) >5 (poor sleep quality). We used multiple logistic regressions to assess the association between shift work and sleep qual ...[more]

PMID: 32130268

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Project description:Night shifts are part of clinical care. It is unclear whether poor sleep quality of nurses working both consecutive night shifts and day shifts after quitting night shifts is common. In this cross-sectional study, Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality as study outcome. Univariable and multivariable linear and logistic regressions were performed to compare PSQI score and prevalence of poor sleep quality between 512 nurses currently working consecutive night shifts and 174 nurses having worked night shifts in the past. The prevalence of poor sleep quality was 62.11% in nurses working consecutive night shifts and 55.75% in nurses having worked night shifts before. In multivariable regressions with adjustment for potential confounders, compared with nurses working consecutive night shifts, nurses having worked past night shifts reported decreased PSQI score [mean difference: -0.82 (95% CI: -1.27 to -0.38, p < 0.001)] and lower poor sleep quality [odds ratio (OR): 0.49 (95% CI: 0.29 to 0.80, p = 0.005)]. In nurses working consecutive night shifts, a rising curve that plateaued at the end was observed between years of consecutive night shifts and PSQI score, p = 0.004. To explore the change in PSQI score after quitting night shift, we constructed a hypothetical prospective cohort from the cross-sectional data. Here, 98 pairs of nurses with consecutive and past night shifts were matched for the number of night shift years, religion, marital status, living condition, hypertension, and hyperlipidemia. In each pair, a hypothetical change in PSQI score was calculated between the two types of nurses and hypothetical years after quitting night shifts was obtained from the matched nurse with past night shifts. A U-shaped curve between change in PSQI and years after quitting night shifts was observed, p = 0.007. The rising curve and U-shaped curve together formed an S-shaped curve, which mapped the change in sleep quality. These results based on the hypothetical cohort constructed from cross-sectional data suggested the presence of persistent poor sleep quality in night shift nurses. Also, we support early and continuous sleep hygiene education and reflection for an optimal strategy for when to cease working night shifts with regard to sleep-related problems.

Project description:ObjectiveMost research on night and shift work focuses on employee health in large companies, primarily in the healthcare and transportation sectors. However, many night workers work on their own or in small businesses related to services or food. This survey focuses on sleep habits and disorders concerning night work in pastry production and sales.MethodsAn epidemiological telephone cross-sectional survey of night shift workers and their sleep habits was proposed to all employers and employees in the French pastry industry via their insurance health prevention company. Sleep logs allow us to estimate the total sleep time (TST) on workdays and enquire on napping episodes and length. In order to estimate the ideal TST, we added a question on the ideal amount of sleep the subjects need to be in good shape in the morning. We also define sleep debt as the difference between the ideal TST and TST on workdays, and considered a sleep debt when the difference was above 60?min and severe sleep debt above 90?min. Finally we retained subjects as long sleepers for those with a TSTof more than 7?hours and short sleepers when TST was under 5?hours. Insomnia, sleepiness and sleep apnoea have been defined based on the International Classification of Sleep Disorders-Third Edition and the classification of mental disorders (Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition). Bivariate and multivariate logistic regression models were applied to investigate the association with short TST, long TST, sleep debt and napping.ResultsWe analysed 2622 complete questionnaires from 1313 men and 1309 women aged 22-50 years old. 1397 workers began work before 07:00, whereas 1225 began later. The 24-hour TST was 6.7±1.4?hours, whereas the ideal TST was 7.0±1.2?hours. Severe sleep debt (>90?min) was reported by 6% women versus 5% men, whereas moderate sleep debt (>60?min) was reported by 11.5% women versus 9.3% men. Napping is one way to improve 24-hour TST for 58% of pastry producers (75±13?min) and 23% of shopkeepers (45±8?min). Nevertheless, 26.2% of the respondents complained of chronic insomnia, especially women aged 45-54?years old (31%). Finally, 29.6% had evocative criteria for obstructive sleep apnoea, although only 9.1% had a high score on the Berlin Questionnaire.ConclusionOur study demonstrates that both pastry producers and shopkeepers can have disturbed sleep schedules and a high prevalence of sleep disorders, although many have used napping as a behavioural countermeasure to fight sleep debt. The results of our survey lead us to conclude that, besides the need to take care of night workers in big industries, more information and occupational prevention must be focused on night workers in individual and small businesses.

Project description:ObjectivesNight-shift work may adversely affect health. This study aimed to determine the impact of night-shift work on health-related quality of life (HRQoL), and to assess whether sleep quality was a mediating factor.DesignA cross-sectional study.Setting11 manufacturing factories in Malaysia.Participants177 night-shift workers aged 40-65 years old were compared with 317 non-night-shift workers.Primary and secondary outcomesParticipants completed a self-administered questionnaire on socio-demographics and lifestyle factors, 12-item Short Form Health Survey V.2 (SF-12v2) and the Pittsburgh Sleep Quality Index (PSQI). The Baron and Kenny's method, Sobel test and multiple mediation model with bootstrapping were applied to determine whether PSQI score or its components mediated the association between night-shift work and HRQoL.ResultsNight-shift work was associated with sleep impairment and HRQoL. Night-shift workers had significantly lower mean scores in all the eight SF-12 domains (p<0.001). Compared with non-night-shift workers, night-shift workers were significantly more likely to report poorer sleep quality, longer sleep latency, shorter sleep duration, sleep disturbances and daytime dysfunction (p<0.001). Mediation analyses showed that PSQI global score mediated the association between night-shift work and HRQoL. 'Subjective sleep quality' (indirect effect=-0.24, SE=0.14 and bias corrected (BC) 95% CI -0.58 to -0.01) and 'sleep disturbances' (indirect effect=-0.79, SE=0.22 and BC 95% CI -1.30 to -0.42) were mediators for the association between night-shift work and physical well-being, whereas 'sleep latency' (indirect effect=-0.51, SE=0.21 and BC 95% CI -1.02 to -0.16) and 'daytime dysfunction' (indirect effect=-1.11, SE=0.32 and BC 95% CI -1.86 to -0.58) were mediators with respect to mental well-being.ConclusionSleep quality partially explains the association between night-shift work and poorer HRQoL. Organisations should treat the sleep quality of night-shift workers as a top priority area for action to improve their employees' overall wellbeing.

Dataset Information

Association between shift work and poor sleep quality in an Asian multi-ethnic working population: A cross-sectional study.

Publications

Association between shift work and poor sleep quality in an Asian multi-ethnic working population: A cross-sectional study.

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