The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Strength and vulnerability integration: A model of emotional well-being across adulthood.
Open accessAbstract
The following article presents the theoretical model of strength and vulnerability integration (SAVI) to explain factors that influence emotion regulation and emotional well-being across adulthood. The model posits that trajectories of adult development are marked by age-related enhancement in the use of strategies that serve to avoid or limit exposure to negative stimuli but by age-related vulnerabilities in situations that elicit high levels of sustained emotional arousal. When older adults avoid or reduce exposure to emotional distress, they often respond better than younger adults; when they experience high levels of sustained emotional arousal, however, age-related advantages in emotional well-being are attenuated, and older adults are hypothesized to have greater difficulties returning to homeostasis. SAVI provides a testable model to understand the literature on emotion and aging and to predict trajectories of emotional experience across the adult life span.
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Cited by
More than a feeling: A unified view of stress measurement for population science
Epel, E. S., Crosswell, A. D., Mayer, S. E., Prather, A. A., Slavich, G. M., Puterman, E., & Mendes, W. B. (2018) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2018.03.001 · Cited by 1,077
“These enhanced regulatory processes are related to better emotional well-being (Charles, 2010).”
BackgroundLife-span development of self-esteem and its effects on important life outcomes.
Orth, U., Robins, R. W., & Widaman, K. F. (2012) · Journal of Personality and Social Psychology · doi:10.1037/a0025558 · Cited by 860
Westbrook, A., Kester, D., & Braver, T. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068210 · Cited by 533
Bruine de Bruin, W. (2021) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbaa074 · Cited by 477
Mechanisms of motivation–cognition interaction: challenges and opportunities
Braver, T. S., Krug, M. K., Chiew, K. S., Kool, W., Westbrook, J. A., Clement, N. J., Adcock, R. A., Barch, D. M., Botvinick, M. M., Carver, C. S., et al. (2014) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-014-0300-0 · Cited by 391
Metadata
- Authors
- Charles, S. T.
- Venue
- Psychological Bulletin
- Published
- 2010-11
- Volume
- 136
- Issue
- 6
- Pages
- 1068-1091
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W1982750237
- Cited by
- 1,190
- References
- 41
- FWCI
- 26.94
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.