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
Abstract
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.
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.