Economics Discipline, Social Science School, Khulna University, Khulna, Bangladesh.
School of Commerce, University of Southern Queensland, Toowoomba, QLD, Australia.
PLoS One. 2020 May 27;15(5):e0233512. doi: 10.1371/journal.pone.0233512. eCollection 2020.
Excess weight can increase absenteeism of workers and can have a negative influence on their productivity. Current evidence on this association is mostly based on cross-sectional data and there is little evidence concerning the longitudinal relationship between obesity, and disability with workplace absenteeism. Further, gender differences in this association have often ignored in the existing literature.
This study aims to examine gender differences in the longitudinal association between obesity, and disability with absenteeism in the workplace.
Data from thirteen waves (2006 to 2018) of the Household, Income and Labour Dynamics in Australia (HILDA) survey were pooled, resulting in 117,769 observations for 19,851 adult employees. The Zero-Inflated Negative Binomial (ZINB) regression model was deployed to investigate the links between obesity, and disability with workplace absenteeism for the total sample and stratified by gender.
The findings showed that overweight (Incidence Rate Ratio [IRR]: 1.23, 95% confidence interval [CI]: 1.02-1.47), obesity (IRR: 1.35, 95% CI: 1.12-1.64) and disability (IRR: 2.83, 95% CI: 2.36-3.38) were associated with prolonged workplace absenteeism irrespective of gender. This study found that the multiplicative interaction between weight status and gender is significantly associated with absenteeism. The results reveal that the rate of absenteeism was 2.79 times (IRR: 2.79, 95% CI: 1.96-3.97) and 1.73 times (IRR: 1.73, 95% CI: 1.20-2.48) higher among overweight and obese women than male counterparts, respectively. Moreover, this study found that the weight status of male workers is not associated with absenteeism. However, disability (IRR: 3.14, 95% CI: 2.43-4.05) is positively associated with longer days of absence among male workers. Finally, the study results showed that the rate of absenteeism is 1.82 (IRR: 1.82, 95% CI: 1.36-2.44), 1.61 (IRR: 1.61, 95% CI: 1.21-2.13), and 2.63 (IRR: 2.63, 95% CI: 1.99-3.48) times higher among overweight, obese, and female workers with a disability, respectively, compared with their lower weight counterparts.
Workplace absenteeism is significantly associated with overweight and obesity among Australian workers. An active workplace health promotion program is very important for weight management of overweight and obese workers and thus to reduce workplace absenteeism. For example, employers may provide incentives for maintaining recommended body weights, encourage exercise, and promote healthy diets amongst their workers.
超重会增加员工的旷工率,并对其生产力产生负面影响。目前关于这种关联的证据主要基于横断面数据,关于肥胖和残疾与工作场所旷工之间的纵向关系的证据很少。此外,现有文献中经常忽略这种关联的性别差异。
本研究旨在探讨肥胖和残疾与工作场所旷工之间的纵向关联在性别上的差异。
对来自澳大利亚家庭、收入和劳动力动态调查(HILDA)的 13 个波次(2006 年至 2018 年)的数据进行了汇总,为 19851 名成年员工生成了 117769 个观测值。使用零膨胀负二项回归模型(ZINB)来调查肥胖和残疾与总样本和按性别分层的工作场所旷工之间的联系。
研究结果表明,超重(发病率比 [IRR]:1.23,95%置信区间 [CI]:1.02-1.47)、肥胖(IRR:1.35,95%CI:1.12-1.64)和残疾(IRR:2.83,95%CI:2.36-3.38)与旷工时间延长有关,无论性别如何。本研究发现,体重状况和性别之间的乘法交互作用与旷工显著相关。结果表明,超重和肥胖女性的旷工率分别是男性的 2.79 倍(IRR:2.79,95%CI:1.96-3.97)和 1.73 倍(IRR:1.73,95%CI:1.20-2.48)。此外,本研究发现男性工人的体重状况与旷工无关。然而,残疾(IRR:3.14,95%CI:2.43-4.05)与男性工人缺勤天数的增加呈正相关。最后,研究结果表明,超重、肥胖和残疾的女性员工的旷工率分别比体重较低的员工高 1.82 倍(IRR:1.82,95%CI:1.36-2.44)、1.61 倍(IRR:1.61,95%CI:1.21-2.13)和 2.63 倍(IRR:2.63,95%CI:1.99-3.48)。
澳大利亚工人的工作场所旷工与超重和肥胖显著相关。对于超重和肥胖工人来说,积极的工作场所健康促进计划非常重要,以帮助他们控制体重,从而减少旷工。例如,雇主可以为保持建议体重提供激励措施,鼓励锻炼,并促进工人的健康饮食。