{"title":"Trajectories of Cognitive Function and Predictors Among Older Adults in Korea for 8 Years: A National Panel Data Analysis.","authors":"Dayeon Lee, Sunghee H Tak","doi":"10.1177/07334648251314281","DOIUrl":null,"url":null,"abstract":"<p><p>This study aims to examine the trajectory of older adults' cognitive function over time and identify its predictors. Based on the model of neuroplasticity and cognitive reserve, participants' general characteristics as well as their physical, mental, and social factors were included as predictors of cognitive function. A latent growth model analysis was used to examine the trajectory of cognitive function and its predictors. The analysis of the unconditional model revealed that older adults' cognitive function significantly decreased over time. The rate of cognitive decline was significantly related with age, current smoking status, depression scores, number of social activities, time spent in group cognitive activities, and number of individual cognitive activities. The findings identified predictors affecting initial cognitive function and the rate of cognitive decline in older adults. The rate of cognitive decline varies widely among individuals. Identifying these differences is essential for effectively tailoring interventions that address individual needs.</p>","PeriodicalId":47970,"journal":{"name":"Journal of Applied Gerontology","volume":" ","pages":"7334648251314281"},"PeriodicalIF":2.2000,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Gerontology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/07334648251314281","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims to examine the trajectory of older adults' cognitive function over time and identify its predictors. Based on the model of neuroplasticity and cognitive reserve, participants' general characteristics as well as their physical, mental, and social factors were included as predictors of cognitive function. A latent growth model analysis was used to examine the trajectory of cognitive function and its predictors. The analysis of the unconditional model revealed that older adults' cognitive function significantly decreased over time. The rate of cognitive decline was significantly related with age, current smoking status, depression scores, number of social activities, time spent in group cognitive activities, and number of individual cognitive activities. The findings identified predictors affecting initial cognitive function and the rate of cognitive decline in older adults. The rate of cognitive decline varies widely among individuals. Identifying these differences is essential for effectively tailoring interventions that address individual needs.
期刊介绍：
The Journal of Applied Gerontology (JAG) is the official journal of the Southern Gerontological Society. It features articles that focus on research applications intended to improve the quality of life of older persons or to enhance our understanding of age-related issues that will eventually lead to such outcomes. We construe application broadly and encourage contributions across a range of applications toward those foci, including interventions, methodology, policy, and theory. Manuscripts from all disciplines represented in gerontology are welcome. Because the circulation and intended audience of JAG is global, contributions from international authors are encouraged.
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