College of Medicine, The Catholic University of Korea, Seoul, Korea.
Department of Occupational and Environmental Medicine, Dong-A University College of Medicine, Busan, Korea.
Epidemiol Health. 2023;45:e2023096. doi: 10.4178/epih.e2023096. Epub 2023 Oct 28.
The physical activity paradox suggests that occupational physical activity (OPA), unlike leisure-time physical activity (LTPA), may detrimentally impact health. We explored the relationships of OPA and LTPA with work ability (WA) and health-related productivity loss (HRPL).
This study included 5,501 workers in Korea who were recruited in 2021 through a web-based cross-sectional questionnaire. The questionnaire was utilized to quantify OPA and LTPA in metabolic equivalents, while WA and HRPL were also measured. Non-parametric regression, using a generalized additive model (GAM), was employed to visualize the relationships of LTPA and OPA with WA and HRPL. Mean differences in WA and HRPL, in relation to OPA and LTPA, were examined using linear regression models. These models were adjusted for covariates including sex, age, body mass index, education level, alcohol consumption, smoking history, insomnia, occupation, hours worked, and income.
The GAM and linear regression analyses revealed that higher LTPA corresponded with higher WA and lower HRPL. In contrast, as OPA increased, WA decreased and HRPL increased. However, within the group with high OPA, HRPL was not significantly lower in the high-LTPA subgroup relative to the low-LTPA subgroup (mean difference=1.92%, p=0.343). This pattern was especially pronounced among workers aged 60 years and older, with an increase in HRPL observed with increasing LTPA among the respondents with high OPA.
High LTPA levels were associated with elevated WA and diminished HRPL. In contrast, higher levels of OPA were associated with lower WA and higher HRPL.
体力活动悖论表明,与休闲时间体力活动(LTPA)相比,职业体力活动(OPA)可能对健康产生不利影响。我们探讨了 OPA 和 LTPA 与工作能力(WA)和与健康相关的生产力损失(HRPL)的关系。
本研究纳入了 2021 年通过网络横断面问卷调查招募的韩国 5501 名工人。该问卷用于量化代谢当量的 OPA 和 LTPA,同时还测量了 WA 和 HRPL。使用广义加性模型(GAM)进行非参数回归,以可视化 LTPA 和 OPA 与 WA 和 HRPL 的关系。使用线性回归模型检查 WA 和 HRPL 与 OPA 和 LTPA 的差异。这些模型调整了协变量,包括性别、年龄、体重指数、教育水平、饮酒、吸烟史、失眠、职业、工作时间和收入。
GAM 和线性回归分析表明,较高的 LTPA 与较高的 WA 和较低的 HRPL 相关。相反,随着 OPA 的增加,WA 降低,HRPL 增加。然而,在 OPA 较高的组中,高 LTPA 亚组的 HRPL 与低 LTPA 亚组相比并没有显著降低(平均差异=1.92%,p=0.343)。这种模式在 60 岁及以上的工人中尤为明显,随着 OPA 较高的受访者中 LTPA 的增加,HRPL 呈上升趋势。
高水平的 LTPA 与较高的 WA 和减少的 HRPL 相关。相反,高水平的 OPA 与较低的 WA 和较高的 HRPL 相关。