{"title":"Airport security personnel's working hour characteristics and associations with sickness absence-a retrospective cohort study in 2016-2019.","authors":"Annina Ropponen, Maria Hirvonen, Mikael Sallinen","doi":"10.2486/indhealth.2024-0062","DOIUrl":null,"url":null,"abstract":"<p><p>We aimed to investigate the associations of working hour characteristics based on the international and local definitions with sickness absence (SA) among airport security personnel. The payroll-based registry data of daily working hours for 2016-2019 at one airport was limited to those with ≥30 work shifts in a year (n=377-687 employees). The conditional Poisson model for incidence rate ratios (IRR) with 95% confidence intervals (CI) was used for analyses. Based on the international definitions, only a few associations were found: each one-unit increase in weekly working hours and the number of consecutive working days were associated with a lower likelihood of SA. The local definitions were more consistently associated with SA: Each one-unit increase in shift length and time between shifts, higher variation in shift length, and the number of consecutive evening and night shifts were associated with a higher likelihood of SA. To conclude, especially the local definitions of working hour characteristics seem to be important limits for short SA. Thus, high variability of shift lengths and prolonged shifts could be avoided to reduce the risk of SA. Overall, keeping the working hours within any of the recommendations among airport security personnel could support well-being and health.</p>","PeriodicalId":13531,"journal":{"name":"Industrial Health","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2486/indhealth.2024-0062","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
We aimed to investigate the associations of working hour characteristics based on the international and local definitions with sickness absence (SA) among airport security personnel. The payroll-based registry data of daily working hours for 2016-2019 at one airport was limited to those with ≥30 work shifts in a year (n=377-687 employees). The conditional Poisson model for incidence rate ratios (IRR) with 95% confidence intervals (CI) was used for analyses. Based on the international definitions, only a few associations were found: each one-unit increase in weekly working hours and the number of consecutive working days were associated with a lower likelihood of SA. The local definitions were more consistently associated with SA: Each one-unit increase in shift length and time between shifts, higher variation in shift length, and the number of consecutive evening and night shifts were associated with a higher likelihood of SA. To conclude, especially the local definitions of working hour characteristics seem to be important limits for short SA. Thus, high variability of shift lengths and prolonged shifts could be avoided to reduce the risk of SA. Overall, keeping the working hours within any of the recommendations among airport security personnel could support well-being and health.
我们旨在研究基于国际和本地定义的工时特征与机场安保人员病假(SA)之间的关联。某机场 2016-2019 年基于工资单的每日工时登记数据仅限于一年内工作班次≥30 次的员工(n=377-687)。分析中使用了带有 95% 置信区间 (CI) 的发病率比 (IRR) 条件泊松模型。根据国际定义,只发现了几种关联:每周工作时间和连续工作日数量每增加一个单位,罹患 SA 的可能性就会降低。而本地定义与 SA 的相关性更为一致:轮班时间和轮班间隔时间每增加一个单位、轮班时间的变化幅度越大、连续上晚班和夜班的次数越多,发生 SA 的可能性就越大。总之,特别是当地对工作时间特征的定义似乎是短时间内 SA 的重要限制因素。因此,可以避免轮班时间变化大和轮班时间过长,以降低 SA 风险。总之,将机场安检人员的工作时间控制在任何建议的范围内都有助于他们的福利和健康。
期刊介绍:
INDUSTRIAL HEALTH covers all aspects of occupational medicine, ergonomics, industrial hygiene, engineering, safety and policy sciences. The journal helps promote solutions for the control and improvement of working conditions, and for the application of valuable research findings to the actual working environment.