Taimela Simo, Läärä Esa, Malmivaara Antti, Tiekso Jaakko, Sintonen Harri, Justén Selina, Aro Timo
Evalua International, Vantaa, Finland.
Occup Environ Med. 2007 Nov;64(11):739-46. doi: 10.1136/oem.2006.027789. Epub 2007 Feb 15.
To study the associations between self-reported health problems and sickness absence from work.
The results of a questionnaire survey were combined with archival data of sickness absence of 1341 employees (88% males; 62% blue-collar) in the construction, service and maintenance work within one corporation in Finland. Sex, age and occupational grading were controlled as confounders. A zero-inflated negative binomial (ZINB) regression model was used in the statistical analysis of sickness absence data.
The prevalence of self-reported health problems increased with age, from 23% in 18-30-year-olds to 54% in 55-61-year-olds. However, in those aged 18-30 years, 71% had been absent from work and in those aged 55-61 years this proportion was 53%. When health problems and occupational grading were accounted for in the ZINB model, age as such was not associated with the number of days on sick leave, but the young workers still had higher propensity for (any) sickness absence than the old. Self-rated future working ability and musculoskeletal impairment were strong determinants of sickness absence. Among those susceptible to taking sick leave, the estimated mean number of absence days increased by 14% for each rise of 1 unit of the impairment score (scale 0-10).
Young subjects had surprisingly high probability for sickness absence although they reported better health than their older colleagues. A higher total count of absence days was found among subjects reporting health problems and poorer working ability, regardless of age, sex and occupational grade. These findings have implications for both management and the healthcare system in the prevention of work disability.
研究自我报告的健康问题与因病缺勤之间的关联。
将一项问卷调查的结果与芬兰一家公司内从事建筑、服务和维护工作的1341名员工(88%为男性;62%为蓝领)的病假档案数据相结合。将性别、年龄和职业等级作为混杂因素进行控制。在病假数据的统计分析中使用零膨胀负二项式(ZINB)回归模型。
自我报告的健康问题患病率随年龄增长而增加,从18 - 30岁人群中的23%增至55 - 61岁人群中的54%。然而,18 - 30岁人群中有71%曾缺勤,而在55 - 61岁人群中这一比例为53%。在ZINB模型中考虑健康问题和职业等级后,年龄本身与病假天数无关,但年轻员工仍比年长员工有更高的(任何形式的)因病缺勤倾向。自我评估的未来工作能力和肌肉骨骼损伤是因病缺勤的重要决定因素。在那些容易请病假的人群中,损伤评分(0 - 10分制)每升高1个单位,估计的平均缺勤天数增加14%。
尽管年轻受试者报告的健康状况优于年长同事,但他们因病缺勤的概率出奇地高。无论年龄、性别和职业等级如何,报告有健康问题和工作能力较差的受试者的缺勤总天数更多。这些发现对管理部门和医疗保健系统预防工作残疾均有启示。