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Prognostic Models for Changes in Memory Performance After Memory Training in Healthy Older Adults: a Systematic Review

机译:健康老年人记忆训练后记忆力训练后记忆力的变化的预后模型:系统评价

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Identifying individuals' profiles of prognostic factors that predict improvements after nonpharmacological interventions such as memory trainings may help to not only predict individuals' future outcomes after such intervention, but also tailor new trainings for individuals with specific characteristics. However, until now, no systematic review on prognostic models, defined as a set of multiple prognostic factors to predict a future outcome, for changes in memory performance after memory training exist. MEDLINE, Web of Science Core Collection, CENTRAL, and PsycInfo were searched up to November 2019 to identify studies investigating prognostic models on verbal and non-verbal short- and long-term memory after conducting memory training in healthy older adults. The PROBAST tool was used to assess risk of bias. After screening n = 10,703 studies, n = 12 studies were included. These studies and the investigated statistical models are highly heterogeneous, so that conclusions are limited. However, one consistent result was that lower age combined with higher education seems to predict higher improvements after memory training. More studies on prognostic models for memory changes after memory training have to be conducted before clear conclusions which will help to tailor memory trainings to individuals' profiles can be drawn. Registration: CRD42018105803,
机译:识别个人在非药理干预措施(例如记忆训练)之后预测改善的预后因素的概况,这不仅有助于预测这种干预后个人的未来结果,还可以为具有特定特征的个体量身定制新培训。但是,到目前为止,还没有对预后模型进行系统的审查,该模型定义为一组多个预测因素,可以预测未来结果,对于内存训练后的记忆性能的变化。截至2019年11月,Medline,Web of Science Core Collection,Central和Psycinfo进行了搜索,以确定研究对健康老年人进行记忆训练后的口头和非语言短期和长期记忆的预后模型。 Probast工具用于评估偏见的风险。筛选n = 10,703项研究后,包括n = 12项研究。这些研究和研究的统计模型是高度异质的,因此结论受到限制。但是,一个一致的结果是,较低的年龄与高等教育相结合似乎可以预测记忆训练后的更高改善。在明确的结论之前,必须对记忆训练进行记忆变化的预后模型的更多研究,这将有助于对个人的概况量身定制记忆培训。注册:CRD42018105803,

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