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Association of Positive Affect with Cognitive Health and Decline for Elder Mexican Americans

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Listed:
  • Laura Castro-Schilo

    (SAS Institute Inc.)

  • Barbara L. Fredrickson

    (The University of North Carolina at Chapel Hill)

  • Dan Mungas

    (University of California)

Abstract

The goal of this study was to investigate the linkages of positive affect (PA) with cognitive health and its decline among elder Mexican Americans. We conducted secondary analysis of longitudinal data from the Sacramento Area Latino Study on Aging. We used the structural equation modeling framework to achieve three specific aims: (1) identify a valid measure of PA, (2) describe within-person trajectories of PA and cognitive health, and (3) test the inter-relations of these two processes over time. Results showed that, on average, PA and cognitive ability (including verbal memory) decreased over time. Yet, there was significant variability in these patterns of change. Bivariate latent growth curve models showed significant correlations of baseline levels and rates of change of PA and cognitive ability even after controlling for age, education, sex, bilingualism, and depression. Results support the hypothesis that increases and decreases in PA tend to be related to increases and decreases in cognitive health at old age among Mexican Americans.

Suggested Citation

  • Laura Castro-Schilo & Barbara L. Fredrickson & Dan Mungas, 2019. "Association of Positive Affect with Cognitive Health and Decline for Elder Mexican Americans," Journal of Happiness Studies, Springer, vol. 20(8), pages 2385-2400, December.
    • Handle: RePEc:spr:jhappi:v:20:y:2019:i:8:d:10.1007_s10902-018-0053-5
    DOI: 10.1007/s10902-018-0053-5
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    References listed on IDEAS

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    1. Albert Satorra & Peter Bentler, 2001. "A scaled difference chi-square test statistic for moment structure analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 507-514, December.
    2. Terrence D. Hill & Amy M. Burdette & Jacqueline L. Angel & Ronald J. Angel, 2006. "Religious Attendance and Cognitive Functioning Among Older Mexican Americans," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(1), pages 3-9.
    3. Sarah Tomaszewski Farias & Vineeta Chand & Lisa Bonnici & Kathleen Baynes & Danielle Harvey & Dan Mungas & Christa Simon & Bruce Reed, 2012. "Idea Density Measured in Late Life Predicts Subsequent Cognitive Trajectories: Implications for the Measurement of Cognitive Reserve," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 67(6), pages 677-686.
    4. William Meredith & John Tisak, 1990. "Latent curve analysis," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 107-122, March.
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