性别选择性地调节认知正常老年人的性别与记忆力之间的关系

IF 4.9 3区 医学 Q1 GERIATRICS & GERONTOLOGY Innovation in Aging Pub Date : 2024-10-10 eCollection Date: 2024-01-01 DOI:10.1093/geroni/igae094
Linzy Bohn, Astrid Y Han, G Peggy McFall, Shannon M Drouin, Jacqueline A Pettersen, M Natasha Rajah, Gillian Einstein, Kaarin J Anstey, Roger A Dixon
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引用次数: 0

摘要

背景和目的:性和性别是老龄化和痴呆症研究中越来越受关注的重要课题。很少有研究在一项研究中同时研究性(作为生物属性)和性别(作为社会文化和行为特征)。我们探索了一种新颖的数据挖掘方法,将性和性别作为潜在的相关影响因素纳入记忆老化研究:参与者为维多利亚纵向研究(Victoria Longitudinal Study)中的 746 名认知正常的老年人。首先,我们改编了性别结果国际小组(Gender Outcomes INternational Group:GOING-FWD)框架--该框架参考了妇女健康研究网络(Women's Health Research Network)的性别维度--来识别、提取和操作数据库中与性别相关的变量。其次,我们对潜在的性别变量库进行了主成分分析(PCA),以创建经验得出的性别相关成分。第三,我们验证了记忆表现中预期的性别差异模式,并将每个性别相关成分作为观察到的性别-记忆关联的潜在中介进行了评估:结果:系统数据挖掘产生了一份潜在的性别相关变量名册,其中 56 个变量与 GOING-FWD 框架中的性别维度相对应。PCA 显示了 6 个与性别相关的成分(n 指标 = 37):非日常家务劳动、主观记忆信念、闲暇时间、社交和日常家务管理、健康观念和实践以及脑力游戏。我们观察到了潜记忆表现的性别差异,其中女性的表现优于男性。手工非日常家务劳动、社交和日常家务管理以及脑力游戏对记忆表现的性别差异起到了中介作用。后续分析表明,教育也是性别-记忆关联的中介:我们的研究表明:(i) 数据挖掘可以在老龄化和痴呆症档案数据库中识别和操作与性别相关的变量;(ii) 可以研究这些变量与性别之间的关联;(iii) 记忆表现的性别差异是由选定的性别因素介导的。
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Gender Selectively Mediates the Association Between Sex and Memory in Cognitively Normal Older Adults.

Background and objectives: Sex and gender are important topics of increasing interest in aging and dementia research. Few studies have jointly examined sex (as a biological attribute) and gender (as a sociocultural and behavioral characteristic) within a single study. We explored a novel data mining approach to include both sex and gender as potentially related influences in memory aging research.

Research design and methods: Participants were 746 cognitively normal older adults from the Victoria Longitudinal Study. First, we adapted the Gender Outcomes INternational Group: To Further Well-being Development (GOING-FWD) framework-which is informed by gender dimensions of the Women's Health Research Network-to identify, extract, and operationalize gender-related variables in the database. Second, we applied principal component analysis (PCA) to a pool of potential gender variables for creating empirically derived gender-related components. Third, we verified the expected pattern of sex differences in memory performance and evaluated each gender-related component as a potential mediator of the observed sex-memory association.

Results: Systematic data mining produced a roster of potential gender-related variables, 56 of which corresponded to gender dimensions represented in the GOING-FWD framework. The PCA revealed 6 gender-related components (n indicators = 37): Manual Non-Routine Household Tasks, Subjective Memory Beliefs, Leisure Free Time, Social and Routine Household Management, Health Perceptions and Practices, and Brain Games. We observed sex differences in latent memory performance whereby females outperformed males. Sex differences in memory performance were mediated by Manual Non-Routine Household Tasks, Social and Routine Household Management, and Brain Games. Follow-up analyses showed that education also mediated the sex-memory association.

Discussion and implications: We show that (i) data mining can identify and operationalize gender-related variables in archival aging and dementia databases, (ii) these variables can be examined for associations with sex, and (iii) sex differences in memory performance are mediated by selected facets of gender.

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来源期刊
Innovation in Aging
Innovation in Aging GERIATRICS & GERONTOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
72
审稿时长
15 weeks
期刊介绍: Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.
期刊最新文献
Life-Course Multidisciplinary Psychosocial Predictors of Dementia Among Older Adults: Results From the Health and Retirement Study. What Characteristics Modify the Relation of Neighborhood Walkability and Walking Behavior in Older Adults? Gender Selectively Mediates the Association Between Sex and Memory in Cognitively Normal Older Adults. The Effects of Social Interaction Intervention on Cognitive Functions Among Older Adults Without Dementia: A Systematic Review and Meta-Analysis. The Association Between Social Isolation and Incident Dementia Among Older Adults: Evidence From National Health and Aging Trend Study.
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