The LIBRA index of modifiable risk factors for mild cognitive impairment and dementia in a late-life population-based cohort study.

AJE advances : research in epidemiology Pub Date : 2025-10-01 Epub Date: 2025-10-24 DOI:10.1093/ajeadv/uuaf018
Yueting Wang, Erin Jacobsen, Tiffany F Hughes, Beth E Snitz, Chung-Chou H Chang, Mary Ganguli
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Abstract

The Lifestyle for Brain Health (LIBRA) index, a weighted measure of modifiable risk factors for dementia, has been widely applied in European cohorts but less explored in US populations. We applied it to a cohort aged 65+ years, sampled from a relatively low-socioeconomic US region, and compared its predictive validity for incident mild cognitive impairment (MCI) and incident dementia risk. We used both reference factor weights derived from published meta-analyses and cluster-specific factor weights based on estimation results using our own cohort data. We also compared the original LIBRA index with an updated version (LIBRA2), which added three new risk factors including hearing impairment, sleep disturbance, and low social contact. We used joint modeling to account for informative attrition over time. Higher baseline LIBRA indexes were consistently associated with increased dementia risk across factor weight estimation methods. LIBRA2 demonstrated better predictive validity for incident dementia compared to MCI, further improving its performance. Cohort-specific factor weights strengthened associations with cognitive impairment risk but may limit comparability across studies. These findings contribute to valid use of LIBRA for dementia prediction in a late-life US cohort and support the incorporation of additional factors and cohort-specific adjustments to enhance its utility in diverse populations.

Abstract Image

Abstract Image

在一项以老年人群为基础的队列研究中,轻度认知障碍和痴呆的可改变危险因素的LIBRA指数
脑健康生活方式指数(LIBRA)是一种衡量痴呆症可改变风险因素的加权指标,已在欧洲人群中广泛应用,但在美国人群中探索较少。我们将其应用于来自美国相对低社会经济水平地区的65岁以上人群,并比较了其对轻度认知障碍(MCI)和痴呆风险的预测有效性。我们使用了来自已发表的荟萃分析的参考因子权重和基于我们自己的队列数据的估计结果的集群特定因子权重。我们还将原始的LIBRA指数与更新版本(LIBRA2)进行了比较,该版本增加了三个新的风险因素,包括听力障碍、睡眠障碍和低社交接触。我们使用联合建模来解释随时间推移的信息损耗。在各种因素权重估计方法中,较高的基线LIBRA指数始终与痴呆风险增加相关。与MCI相比,LIBRA2对偶发性痴呆的预测效度更好,进一步提高了其性能。特定队列的因素权重加强了与认知障碍风险的关联,但可能限制了研究之间的可比性。这些发现有助于在美国老年队列中有效地使用LIBRA来预测痴呆,并支持纳入其他因素和队列特定调整,以增强其在不同人群中的效用。
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