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自我报告的健康问题和肥胖可预测12个月随访期间的病假情况:一项针对来自不同行业的21608名员工的前瞻性队列研究。

Self-reported health problems and obesity predict sickness absence during a 12-month follow-up: a prospective cohort study in 21 608 employees from different industries.

作者信息

Pihlajamäki Minna, Uitti Jukka, Arola Heikki, Ollikainen Jyrki, Korhonen Mikko, Nummi Tapio, Taimela Simo

机构信息

Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Terveystalo, Helsinki, Finland.

出版信息

BMJ Open. 2019 Oct 31;9(10):e025967. doi: 10.1136/bmjopen-2018-025967.

DOI:10.1136/bmjopen-2018-025967
PMID:31676640
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6830705/
Abstract

OBJECTIVES

To study whether self-reported health problems predict sickness absence (SA) from work in employees from different industries.

METHODS

The results of a health risk appraisal (HRA) were combined with archival data of SA of 21 608 employees (59% female, 56% clerical). Exposure variables were self-reported health problems, labelled as 'work disability (WD) risk factors' in the HRA, presence of problems with occupational well-being and obesity. Age, socioeconomic grading and the number of SA days 12 months before the survey were treated as confounders. The outcome measure was accumulated SA days during 12-month follow-up. Data were analysed separately for males and females. A Hurdle model with negative binomial response was used to analyse zero-inflated count data of SA.

RESULTS

The HRA results predicted the number of accumulated SA days during the 12-month follow-up, regardless of occupational group and gender. The ratio of means of SA days varied between 2.7 and 4.0 among those with 'WD risk factors' and the reference category with no findings, depending on gender and occupational group. The lower limit of the 95% CI was at the lowest 2.0. In the Hurdle model, 'WD risk factors', SA days prior to the HRA and obesity were additive predictors for SA and/or the accumulated SA days in all occupational groups.

CONCLUSION

Self-reported health problems and obesity predict a higher total count of SA days in an additive fashion. These findings have implications for both management and the healthcare system in the prevention of WD.

摘要

目的

研究自我报告的健康问题是否能预测不同行业员工的工作缺勤情况。

方法

将健康风险评估(HRA)结果与21608名员工(59%为女性,56%为文职人员)的工作缺勤档案数据相结合。暴露变量包括自我报告的健康问题(在HRA中标记为“工作残疾(WD)风险因素”)、职业幸福感问题和肥胖情况。年龄、社会经济分级以及调查前12个月的缺勤天数被视为混杂因素。结果指标是12个月随访期间累计的缺勤天数。对男性和女性分别进行数据分析。使用具有负二项式响应的障碍模型来分析缺勤的零膨胀计数数据。

结果

HRA结果预测了12个月随访期间累计的缺勤天数,与职业组和性别无关。在有“WD风险因素”的人群与无此类发现的参照组之间,缺勤天数的均值比在2.7至4.0之间,具体取决于性别和职业组。95%置信区间的下限最低为2.0。在障碍模型中,“WD风险因素”、HRA之前的缺勤天数和肥胖是所有职业组中缺勤和/或累计缺勤天数的累加预测因素。

结论

自我报告的健康问题和肥胖以累加方式预测更高的缺勤天数总数。这些发现对管理部门和医疗保健系统在预防工作残疾方面均有启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41bc/6830705/4bee7b3996ce/bmjopen-2018-025967f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41bc/6830705/4bee7b3996ce/bmjopen-2018-025967f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41bc/6830705/4bee7b3996ce/bmjopen-2018-025967f01.jpg

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