痴呆
危险系数
医学
老年学
比例危险模型
队列研究
队列
前瞻性队列研究
混淆
冲程(发动机)
心理学
置信区间
内科学
疾病
机械工程
工程类
作者
T Tajima,Ai Ikeda,Takeshi Tanigawa,Hiroyasu Iso,Kazumasa Yamagishi,T. Matsumura,Nobufumi Yasuda,Shiori Tanaka,Shoichiro Tsugane,Norie Sawada
出处
期刊:The Journals of Gerontology: Series B
[Oxford University Press]
日期:2023-09-18
标识
DOI:10.1093/geronb/gbad129
摘要
Life enjoyment, linked to the ability to engage pleasurably with one's environment, may be related to the risk of developing dementia. This prospective cohort study examined the association between level of life enjoyment and disabling dementia incidence among Japanese community residents.The participants were Japanese, aged 45-74 years old at five-years follow-up, in the Japan Public Health Center-based (JPHC) study (N=38,660). Psychological conditions and other confounding variables were identified through self-administered questionnaires. Incident disabling dementia registered based on the Japan's Long-Term Care Insurance (LTCI) System from 2006 to 2016. Hazard ratios [95% confidence intervals] were assessed using Cox proportional hazards models.Over a median follow-up period of 9.4 years, a total of 4,462 cases of disabling dementia developed. Level of life enjoyment was inversely associated with the risk of disabling dementia: the multivariable hazard ratios were 0.75[0.67-0.84] (p <.001) and 0.68[0.59-0.78] (p <.001) with medium and high life enjoyment, respectively, compared to low life enjoyment. Furthermore, the association between greater life enjoyment and low risk for disabling dementia was strongest in the subgroup with low-medium mental stress. In the high mental stress group, this association was evident for post-stroke disabling dementia, but not for disabling dementia without a history of stroke.A higher level of life enjoyment was associated with a lower risk of disabling dementia, particularly in the low-medium mental stress group. This finding suggests the importance of having life enjoyment by managing mental stress for reducing risk of disabling dementia.
科研通智能强力驱动
Strongly Powered by AbleSci AI