Akaida Shoma, Katayama Osamu, Yamaguchi Ryo, Yamagiwa Daiki, Shimada Hiroyuki
Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu City, Aichi, 474-8511, Japan.
Faculty of Medicine, Kagoshima University, Kagoshima, Japan.
Eur Geriatr Med. 2025 Jun 18. doi: 10.1007/s41999-025-01253-5.
This study aimed to investigate the association between currently employed but unwilling to remain employed (occupational gaps) and mild cognitive impairment (MCI) in older workers.
A cross-sectional analysis was conducted on 2272 workers aged 65 years and older (mean age: 71.2 years, 52.2% male) who participated in a large community-based cohort study from 2017 to 2018. MCI was assessed using the National Center for Geriatrics and Gerontology-Functional Assessment Tool, which measures four cognitive domains: memory, attention, executive function, and processing speed. Participants with a decline ≥ 1.5 standard deviations below the age- and education-adjusted norms in one or more domains were classified as having MCI. Occupational gaps were categorized into two groups based on self-reported willingness to work. Logistic regression analysis was performed with MCI as the dependent variable and occupational gaps as the independent variable, and adjusted for covariates.
Among older workers, 18.0% experienced MCI and 46.1% experienced occupational gaps. The proportion of individuals with occupational gaps was 44.2% in the non-MCI group and 54.6% in the MCI group, with a significantly higher proportion in the MCI group (p < 0.001). Logistic regression analysis revealed a significant association between occupational gaps and MCI (odds ratio 1.44, 95% confidence interval 1.15-1.80).
The findings suggest that occupational gaps may be associated with MCI in older workers.
本研究旨在调查老年工作者中当前在职但不愿继续工作(职业差距)与轻度认知障碍(MCI)之间的关联。
对2017年至2018年参与一项大型社区队列研究的2272名65岁及以上的工作者(平均年龄:71.2岁,男性占52.2%)进行横断面分析。使用国立老年医学和老年学中心功能评估工具评估MCI,该工具测量四个认知领域:记忆、注意力、执行功能和处理速度。在一个或多个领域中下降幅度≥低于年龄和教育调整后规范1.5个标准差的参与者被归类为患有MCI。根据自我报告的工作意愿,职业差距分为两组。以MCI为因变量,职业差距为自变量进行逻辑回归分析,并对协变量进行调整。
在老年工作者中,18.0%经历了MCI,46.1%经历了职业差距。非MCI组中存在职业差距的个体比例为44.2%,MCI组中为54.6%,MCI组中的比例显著更高(p<0.001)。逻辑回归分析显示职业差距与MCI之间存在显著关联(优势比1.44,95%置信区间1.15-1.80)。
研究结果表明,职业差距可能与老年工作者的MCI有关。