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dc.contributor.authorSzubert, Zuzanna
dc.contributor.authorMakowiec-Dabrowska, Teresa
dc.contributor.authorMerecz-Kot, Dorota
dc.contributor.authorSobala, Wojciech
dc.date.accessioned2016-07-21T08:52:42Z
dc.date.available2016-07-21T08:52:42Z
dc.date.issued2016
dc.identifier.citationInt J Occup Med Environ Health 2016;29(4):539–562en
dc.identifier.issn1232-1087
dc.identifier.doi10.13075/ijomeh.1896.00795
dc.identifier.urihttp://hdl.handle.net/10146/617299
dc.description.abstractBackground: The aim of this study was to highlight major predictors of the frequency of sickness absence in a group of workers directly involved in customer service. Material and Methods: The study was carried out on a random sample of 229 women employed as assistants and clerks in post offices. The survey was based on the Subjective Work, Health Status and Life Style Characteristics Questionnaire, and sickness absence data for the years 2004–2006. Results: The negative binominal regression model of sickness absence risk revealed the following significant predictors of short-term absence spells (1–29 days): 1) marital status, sickness absence risk for single women was (rate ratio (RR)) = 1.56 (95% confidence interval (CI): 1.01–2.39) vs. married women; 2) post offices employing 7 workers had a rate ratio of sickness absence of 1.6 (95% CI: 1.04–2.42); 13–25 workers – RR = 2.03 (95% CI: 1.41–2.93); > 25 workers – RR = 1.82 (95% CI: 1.15–2.88) compared with an average number of 8–12 workers; 3) shift work, RR = 1.57 (95% CI: 1.14–2.14); 4) breaks from work – the risk of absence in the case of any breaks amounted to RR = 1.5 (95% CI: 1.07–2.07) in comparison with the statutory breaks; 5) self-rated health reported as moderate relative to good health, RR = 1.71 (95% CI: 1.26–2.32); and 6) occurrence of respiratory diseases resulted in the risk of RR = 1.51 (95% CI: 1.08–2.08). The Poisson regression model of long-term sickness absence spells (≥ 30 days) revealed the following significant predictors: 1) number of clients per shift: 51–100 clients, RR = 3.62 (95% CI: 1.07–22.6) compared with a lower number of clients; 2) self-rated health, assessed as moderate, RR = 1.97 (95% CI: 1.06–3.78) and 3) household chores performed for at least 4 h a day, RR = 0.4 (95% CI: 0.18–0.79). Conclusions: Association between sickness absence and workload as well as work organization indicates directions of corrective actions, which could reduce the scale of the problem.
dc.description.sponsorshipIMP 10.3 “Physical and psychosocial determinants of sickness absence in workers employed in the customer service sector.”en
dc.language.isoen_USen
dc.relation.urlhttp://www.journalssystem.com/ijomeh/PREDICTORS-OF-SHORT-AND-LONG-TERM-SICKNESS-ABSENCE-IN-FEMALE-POST-OFFICE-WORKERS-IN-POLAND,59385,0,2.htmlen
dc.relation.urlhttp://ijomeh.eu/Predictors-of-short-and-long-term-sickness-absence-in-female-post-office-workers-in-Poland,59385,0,2.htmlen
dc.rightsArchived with thanks to International Journal of Occupational Medicine and Environmental Healthen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectsick leaveen
dc.subjectworking conditionsen
dc.subjectpost office workersen
dc.subjectpsychosocial workloaden
dc.subjectrisk factorsen
dc.subjecthealth statusen
dc.titlePredictors of short- and long-term sickness absence in female post office workers in Polanden_US
dc.typeArticleen
dc.contributor.departmentNofer Institute of Occupational Medicine, Lodz, Polanden
dc.identifier.journalInternational Journal of Occupational Medicine and Environmental Healthen
refterms.dateFOA2018-12-17T17:53:35Z
html.description.abstractBackground: The aim of this study was to highlight major predictors of the frequency of sickness absence in a group of workers directly involved in customer service. Material and Methods: The study was carried out on a random sample of 229 women employed as assistants and clerks in post offices. The survey was based on the Subjective Work, Health Status and Life Style Characteristics Questionnaire, and sickness absence data for the years 2004–2006. Results: The negative binominal regression model of sickness absence risk revealed the following significant predictors of short-term absence spells (1–29 days): 1) marital status, sickness absence risk for single women was (rate ratio (RR)) = 1.56 (95% confidence interval (CI): 1.01–2.39) vs. married women; 2) post offices employing 7 workers had a rate ratio of sickness absence of 1.6 (95% CI: 1.04–2.42); 13–25 workers – RR = 2.03 (95% CI: 1.41–2.93); > 25 workers – RR = 1.82 (95% CI: 1.15–2.88) compared with an average number of 8–12 workers; 3) shift work, RR = 1.57 (95% CI: 1.14–2.14); 4) breaks from work – the risk of absence in the case of any breaks amounted to RR = 1.5 (95% CI: 1.07–2.07) in comparison with the statutory breaks; 5) self-rated health reported as moderate relative to good health, RR = 1.71 (95% CI: 1.26–2.32); and 6) occurrence of respiratory diseases resulted in the risk of RR = 1.51 (95% CI: 1.08–2.08). The Poisson regression model of long-term sickness absence spells (≥ 30 days) revealed the following significant predictors: 1) number of clients per shift: 51–100 clients, RR = 3.62 (95% CI: 1.07–22.6) compared with a lower number of clients; 2) self-rated health, assessed as moderate, RR = 1.97 (95% CI: 1.06–3.78) and 3) household chores performed for at least 4 h a day, RR = 0.4 (95% CI: 0.18–0.79). Conclusions: Association between sickness absence and workload as well as work organization indicates directions of corrective actions, which could reduce the scale of the problem.


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Archived with thanks to International Journal of Occupational Medicine and Environmental Health
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