Department of Public Health, University of Helsinki, Finland.
Unit of Research, Development and Innovation, Laurea University of Applied Sciences, Finland.
Scand J Public Health. 2020 Mar;48(2):155-163. doi: 10.1177/1403494818802990. Epub 2018 Sep 29.
Obesity and weight change are associated with sickness absence; however, less is known about the diagnoses for sickness absence. We examined the association between stable and changing weight by body mass index groups with sickness absence due to any, musculoskeletal and mental diagnoses among midlife female and male employees. The Finnish Helsinki Health Study phase 1 survey took place in 2000-2002 (response rate 67%) and phase 2 in 2007 (response rate 83%). Based on self-reported body mass index, we calculated the weight change between phases 1 and 2 (body mass index change ⩾5%). The data were linked with registers of the Social Insurance Institution of Finland, including information on diagnoses (ICD-10) for sickness absence >9 days. We used a negative binom ial model to examine the association with sickness absence among 3140 women and 755 men during the follow-up (2007-2013). Results are presented as rate ratios. Covariates were age, sociodemographic factors, workload, health behaviors and prior sickness absence. Weight-gain (rate ratio range=1.27-2.29), overweight (rate ratio range=1.77-2.02) and obesity (rate ratio range=2.16-2.29) among women were associated with a higher rate of sickness absence due to musculoskeletal diseases, compared to weight-maintaining normal-weight women. Similarly, obesity among men was associated with sickness absence due to musculoskeletal diseases (rate ratio range=1.55-3.45). Obesity among women (rate ratio range=1.54-1.72) and weight gain among overweight men (rate ratio=3.67; confidence interval=1.72-7.87) were associated with sickness absence due to mental disorders.
肥胖和体重变化与病假有关;然而,对于病假的诊断知之甚少。我们研究了中年女性和男性员工中,通过体重指数组稳定和变化的体重与任何原因、肌肉骨骼和精神疾病病假之间的关系。芬兰赫尔辛基健康研究第一阶段调查于 2000-2002 年进行(应答率为 67%),第二阶段于 2007 年进行(应答率为 83%)。根据自我报告的体重指数,我们计算了第一阶段和第二阶段之间的体重变化(体重指数变化≥5%)。这些数据与芬兰社会保险机构的登记册相关联,包括病假超过 9 天的诊断信息(ICD-10)。我们使用负二项式模型在随访期间(2007-2013 年)研究了与女性 3140 人和男性 755 人病假之间的关系。结果以发病率比表示。协变量为年龄、社会人口因素、工作量、健康行为和既往病假。与保持体重正常的女性相比,女性体重增加(发病率比范围为 1.27-2.29)、超重(发病率比范围为 1.77-2.02)和肥胖(发病率比范围为 2.16-2.29)与肌肉骨骼疾病病假的发病率较高相关。同样,男性肥胖与肌肉骨骼疾病病假相关(发病率比范围为 1.55-3.45)。女性肥胖(发病率比范围为 1.54-1.72)和超重男性体重增加(发病率比=3.67;置信区间为 1.72-7.87)与精神障碍病假相关。