Zang Emma, Zhang Yunxuan, Wang Yi, Wu Bei, Fried Terri R, Becher Robert D, Gill Thomas M
Department of Sociology, Yale University, New Haven, Connecticut, USA.
Department of Biostatistics, Yale University, New Haven, Connecticut, USA.
J Gerontol A Biol Sci Med Sci. 2024 Aug 1;79(8). doi: 10.1093/gerona/glae143.
Cognitive decline may be an early indicator of major health issues in older adults, though research using population-based data is lacking. Researchers objective was to assess the relationships between distinct cognitive trajectories and subsequent health outcomes, including health status, depressive symptoms, and mortality, using a nationally representative cohort.
Data were drawn from the National Health and Aging Trends Study. Global cognition was assessed annually between 2011 and 2018. The health status of 4 413 people, depressive symptoms in 4 342 individuals, and deaths among 5 955 living respondents were measured in 2019. Distinct cognitive trajectory groups were identified using an innovative Bayesian group-based trajectory model. Ordinal logistic, Poisson, and logistic regression models were used to examine the associations between cognitive trajectories and subsequent health outcomes.
Researchers identified five cognitive trajectory groups with distinct baseline values and subsequent changes in cognitive function. Compared with the group with stably high cognitive function, worse cognitive trajectories (ie, lower baseline values and sharper declines) were associated with higher risks of poor health status, depressive symptoms, and mortality, even after adjusting for relevant covariates.
Among older adults, worse cognitive trajectories are strongly associated with subsequent poor health status, high depressive symptoms, and high mortality risks. Regular screening of cognitive function may help to facilitate early identification and interventions for older adults susceptible to adverse health outcomes.
认知能力下降可能是老年人主要健康问题的早期指标,不过缺乏基于人群数据的研究。研究人员的目标是使用具有全国代表性的队列,评估不同认知轨迹与后续健康结果之间的关系,包括健康状况、抑郁症状和死亡率。
数据来自国家健康与老龄化趋势研究。在2011年至2018年期间每年评估整体认知能力。2019年对4413人的健康状况、4342人的抑郁症状以及5955名在世受访者中的死亡情况进行了测量。使用创新的基于贝叶斯分组的轨迹模型确定不同的认知轨迹组。使用有序逻辑回归、泊松回归和逻辑回归模型来检验认知轨迹与后续健康结果之间的关联。
研究人员确定了五个认知轨迹组,它们具有不同的基线值和随后的认知功能变化。与认知功能持续较高的组相比,较差的认知轨迹(即较低的基线值和更急剧的下降)与健康状况不佳、抑郁症状和死亡率较高的风险相关,即使在调整了相关协变量之后也是如此。
在老年人中,较差的认知轨迹与随后的健康状况不佳、高抑郁症状和高死亡风险密切相关。定期筛查认知功能可能有助于促进对易出现不良健康结果的老年人的早期识别和干预。