1.Influencing Factors for Sleep Quality Among Shift-working Nurses:A Cross-Sectional Study in China Using 3-factor Pittsburgh Sleep Quality Index.
Li ZHANG ; Dong mei SUN ; Chang bing LI ; Min fang TAO
Asian Nursing Research 2016;10(4):277-282
PURPOSE: The aim of this study was to identify influencing factors for sleep quality among shift-working nurses based on a three-factor scoring model that included sleep efficacy, sleep quality and daily dysfunction. METHODS: A cross-sectional survey of 513 nurses in a hospital in Shanghai, China, was conducted using a self-reported questionnaire. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed based on the three-factor PSQI model: Factor 1, sleep efficacy; Factor 2, sleep quality; Factor 3, daily disturbances. RESULTS: After adjusting for age, marital status, and having children, multivariate logistic regression analysis showed that participants who had previous shift work experience which was at least 6 months ago, or were currently performing shift work were significantly more likely to have poor sleep quality (PSQI > 5) than those who had never done shift work (adjusted odds ratios of 3.943 and 3.975, respectively, both p < .001). Mean scores of the three individual factors increased significantly among nurses currently performing shift work compared with those who had never done shift work (Factor 1, β = 0.61, p < .001; Factor 2, β = 1.86, p < .001; Factor 3, β = 0.45, p = .002). Mean scores of Factor 2 and Factor 3 increased significantly among nurses with previous shift work experience compared with those who had never done shift work (Factor 2, β = 1.15, p = .003; Factor 3, β = 0.52, p = .005). CONCLUSIONS: Performing current shift work and performing shift work previously were significantly associated with poor sleep quality. An appropriate arrangement and intervention strategies are needed in Chinese hospitals in order to improve sleep quality among shift-working nurses.
Adult
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China/epidemiology
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Cross-Sectional Studies
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Female
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Humans
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Male
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Nurses/*statistics & numerical data
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Risk Factors
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Sleep/*physiology
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Sleep Deprivation/*epidemiology
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Work Schedule Tolerance/*physiology
2.How Work Organization Affects the Prevalence of WMSDs: A Case-control Study.
Lu LIU ; Song Gen CHEN ; Shi Chuan TANG ; Sheng WANG ; Li Hua HE ; Ze Hua GUO ; Jing Yun LI ; Shan Fa YU ; Zhong Xu WANG
Biomedical and Environmental Sciences 2015;28(9):627-633
OBJECTIVEIn this study, we aimed at exploring the association between work-related musculoskeletal disorders (WMSDs) and work organization based on a case-control study.
METHODSA total of 1938 workers who claimed to suffer from WMSDs were selected from Beijing, Henan, Hubei, and the Guangdong province. The control group consisted of 2009 workers employed in similar industries without severe disease or musculoskeletal discomforts. We used a modified version of the questionnaire developed by the NMQ and the DMQ to investigate individual and work-related factors.
RESULTSA total of 13 variables (P<0.1) were selected by the chi-square test and finally, 7 variables entered into the equation, with 6 variables reaching statistical significance (P<0.05). The odds ratios (OR) of 'work changing with season' and 'sufficient rest time' did not reach 1 (0.749 and 0.441, respectively). In addition, 'sufficient rest time' seemed to be the stronger protective factor according to its higher standardized coefficient. And 'repetitive work every minute', 'constantly repetitive work' (every day), 'shortage of site personnel', and 'often switching shifts with others' seemed to be the risk factors.
CONCLUSIONWork organization may have comprehensive effects on the occurrence of WMSDs. This pattern of associations suggests that further investigation into the mechanism of how work organization affects the prevalence of WMSDs is required.
Adult ; Case-Control Studies ; Chi-Square Distribution ; China ; epidemiology ; Cross-Sectional Studies ; Cumulative Trauma Disorders ; epidemiology ; etiology ; Demography ; Ergonomics ; standards ; Female ; Humans ; Logistic Models ; Male ; Musculoskeletal Diseases ; epidemiology ; etiology ; Occupational Diseases ; epidemiology ; etiology ; Personnel Staffing and Scheduling ; organization & administration ; Prevalence ; Risk Factors ; Seasons ; Surveys and Questionnaires ; Work Schedule Tolerance ; physiology ; Workplace ; organization & administration ; Young Adult