Bertrais Sandrine, Pineau Elodie, Niedhammer Isabelle
INSERM, Univ Angers, Univ Rennes, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, ESTER Team, F-49000 Angers, France.
Am J Ind Med. 2023 Nov;66(11):938-951. doi: 10.1002/ajim.23526. Epub 2023 Aug 10.
Some psychosocial work factors are associated with sickness absence, however little information is available on the associations of various psychosocial work factors and multiple exposures with sickness absence spells and duration, and gender differences.
Data were from the French working conditions survey conducted on a nationally representative sample of the working population. The study sample included 17,437 employees (7292 men, 10,145 women) followed from 2013 to 2016 and/or from 2016 to 2019. Occupational exposures (20 psychosocial work factors, 4 working time/hours factors, 4 physical work exposures) were measured at the beginning of each follow-up period. Hurdle and multinomial models were used to study the associations with the number of days and spells of sickness absence.
Most of the psychosocial work factors predicted the risk of at least 1 day of sickness absence. Stronger associations were found among women than men for some factors. Psychosocial work factors were more likely to predict the number of spells than the number of days of sickness absence. Some physical work exposures predicted sickness absence spells and days, whereas shift work in women predicted the risk of at least 1 day of sickness absence. Dose-response associations were found between multiple psychosocial work exposures and sickness absence spells, and between multiple physical exposures and sickness absence spells and days.
Comprehensive prevention policies oriented toward the whole psychosocial and physical work environment should be useful to reduce sickness absence among men and women.
一些社会心理工作因素与病假缺勤有关,然而,关于各种社会心理工作因素以及多种暴露因素与病假缺勤的次数、时长和性别差异之间的关联,目前所知甚少。
数据来自对法国工作人群进行的具有全国代表性样本的工作条件调查。研究样本包括17437名员工(7292名男性,10145名女性),随访时间为2013年至2016年和/或2016年至2019年。在每个随访期开始时测量职业暴露(20种社会心理工作因素、4种工作时间/时长因素、4种体力工作暴露)。采用障碍模型和多项模型研究与病假缺勤天数和次数的关联。
大多数社会心理工作因素可预测至少1天病假缺勤的风险。在某些因素上,女性的关联比男性更强。社会心理工作因素更有可能预测病假缺勤的次数而非天数。一些体力工作暴露可预测病假缺勤的次数和天数,而女性的轮班工作可预测至少1天病假缺勤的风险。在多种社会心理工作暴露与病假缺勤次数之间,以及多种体力暴露与病假缺勤次数和天数之间,发现了剂量反应关联。
针对整个社会心理和体力工作环境的综合预防政策,对于减少男性和女性的病假缺勤可能会有帮助。