Validation of a Dynamic Measure of Current Cognitive Reserve in a Longitudinally Assessed Sample of Healthy Older Adults: The Tasmanian Healthy Brain Project

Summers, Mathew J.; Thow, Megan E.; Ward, David; Saunders, Nichole L.; Klekociuk, Shannon Z.; Imlach, Abbie-Rose; Summers, Jeffery J.; Vickers, James C.

doi:10.1177/1073191116685806

Cited by 5 publications

(6 citation statements)

References 17 publications

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“…Associations between education and age are evident particularly in the attention and speed processing domains (Perry et al, 2017). In line with these findings, Summers et al (2017) found that 92.5% of individuals 50 years and older who had attended university for at least 12 months showed increased cognitive performance in domains that may be a proxy for cognitive reserve.…”

Section: Cognitive Reserve and Brain Connectivitysupporting

confidence: 65%

The Influence of Genetic Factors and Cognitive Reserve on Structural and Functional Resting-State Brain Networks in Aging and Alzheimer’s Disease

Pietzuch

King

Ward

et al. 2019

Front. Aging Neurosci.

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Magnetic resonance imaging (MRI) offers significant insight into the complex organization of neural networks within the human brain. Using resting-state functional MRI data, topological maps can be created to visualize changes in brain activity, as well as to represent and assess the structural and functional connections between different brain regions. Crucially, Alzheimer’s disease (AD) is associated with progressive loss in this connectivity, which is particularly evident within the default mode network. In this paper, we review the recent literature on how factors that are associated with risk of dementia may influence the organization of the brain network structures. In particular, we focus on cognitive reserve and the common genetic polymorphisms of APOE and BDNF Val66Met.

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Section: Cognitive Reserve and Brain Connectivitysupporting

confidence: 65%

The Influence of Genetic Factors and Cognitive Reserve on Structural and Functional Resting-State Brain Networks in Aging and Alzheimer’s Disease

Pietzuch

King

Ward

et al. 2019

Front. Aging Neurosci.

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“…The present investigation found significant high levels of CFA fit indices at baseline and at follow-up. A Healthy Brain Project cohort found consistent results, demonstrating the stability of the longitudinal structure of the CFA in CR [ 16 ]. Moreover, this study applied measurement invariance, aiming to ensure reliable conclusions about real CR changes across time.…”

Section: Discussionmentioning

confidence: 85%

Longitudinal validation of cognitive reserve proxy measures: a cohort study in a rural Chinese community

Chen,

Hu,

Gui

et al. 2024

Alz Res Therapy

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Background While evidence supports cognitive reserve (CR) in preserving cognitive function, longitudinal validation of CR proxies, including later-life factors, remains scarce. This study aims to validate CR’s stability over time and its relation to cognitive function in rural Chinese older adults. Methods Within the project on the health status of rural older adults (HSRO), the survey included baseline assessment (2019) and follow-up assessment (2022). 792 older adults (mean age: 70.23 years) were followed up. The confirmatory factor analysis (CFA) was constructed using cognitive reserve proxies that included years of formal education, social support, hobbies, and exercise. We examined the longitudinal validity of the CR factor using confirmatory factor analyses and measurement invariance and explored the association of CR with cognition using Spearman’s correlation and Generalized Estimating Equations (GEE). Results The results showed that CR’s CFA structure was stable over time (T0, χ2/df: 3.21/2; RMSEA: 0.02, and T1, χ2/df: 7.47/2; RMSEA: 0.05) and that it accepted both configural and metric invariance (Δχ2/df = 2.28/3, P = 0.52). In addition, it was found that CR had a stable positive relationship with cognitive function across time (T0, r = 0.54; T1, r = 0.49). Furthermore, longitudinal CR were associated with MMSE (β = 2.25; 95%CI = 2.01 ~ 2.49). Conclusions This study provided valuable evidence on the stability and validity of cognitive reserve proxy measures in rural Chinese older adults. Our findings suggested that cognitive reserve is associated with cognitive function over time and highlighted the importance of accumulating cognitive reserve in later life.

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“…CFA model fit success may result from chance associations in the samples due to sampling error; analyses using completely independent samples could have increased the generalizability of the results (Brown, 2015). However, the use of overlapping samples is common in factor analyses (Flom et al, 2018; Foster & Mohler-Kuo, 2018; Olver et al, 2018), especially in multiwave studies (Castillo-Mayén et al, 2020; McKay et al, 2001; Summers et al, 2019). We believe the current CFA model results are likely to replicate because of the theoretical and empirical support for social and nonsocial anhedonia factors in other studies examining partially overlapping constructs (Chapman et al, 1976; Langvik & Borgen Austad, 2019).…”

Section: Discussionmentioning

confidence: 99%

Physical and social anhedonia in female adolescents: A factor analysis of self-report measures.

Yang

Casement

Keenan

et al. 2022

Emotion

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Anhedonia is a transdiagnostic symptom of psychopathology that includes diminished positive emotions and anticipation and enjoyment of reward, with particular salience during adolescence. However, the construct validity of anhedonia dimensions is not well established, thus limiting operationalization and generalization of the construct. We applied exploratory and confirmatory factor analyses to identify latent dimensions of anhedonia across four commonly used self-report measures covering different facets of anhedonic experience within a nonclinical sample of female adolescents across two waves of data collection (N = 173, Mage = 19.25; N = 147, Mage = 20.23). Factor analyses yielded a two-factor model with a physical anhedonia factor emphasizing enjoyment from physical sensations and a social anhedonia factor focusing on emotional connections with other people. These results have implications for the measurement of anhedonia in women’s emotional well-being and mental health research, including research designed to identify facets of anhedonia that predict the onset, severity, and persistence of psychopathology.

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Validation of a Dynamic Measure of Current Cognitive Reserve in a Longitudinally Assessed Sample of Healthy Older Adults: The Tasmanian Healthy Brain Project

Abstract: The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription.

Cited by 5 publications

References 17 publications

The Influence of Genetic Factors and Cognitive Reserve on Structural and Functional Resting-State Brain Networks in Aging and Alzheimer’s Disease

The Influence of Genetic Factors and Cognitive Reserve on Structural and Functional Resting-State Brain Networks in Aging and Alzheimer’s Disease

Longitudinal validation of cognitive reserve proxy measures: a cohort study in a rural Chinese community

Physical and social anhedonia in female adolescents: A factor analysis of self-report measures.

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