JOURNAL ARTICLE
Does Social Intelligence Training Improve Daily Well-Being and Responsiveness to Daily Negative and Positive Events in Custodial Grandmothers?
Published In: Journals of Gerontology Series B: Psychological Sciences & Social Sciences, 2024, v. 79, n. 7. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Infurna, Frank J; Castro, Saul A; Webster, Britney A; Dolbin-MacNab, Megan L; Smith, Gregory C; Crowley, D Max; Musil, Carol 3 of 3
Abstract
This article examines the effectiveness of an online Social Intelligence Training (SIT) program in improving daily well-being, socioemotional skills, and emotional responsiveness to daily positive and negative events among custodial grandmothers (CGMs)—grandparents who raise grandchildren full-time in the absence of the birth parents. In a randomized clinical trial involving 200 CGMs across the United States, participants completed 14-day daily surveys before and after engaging in either the SIT program or an attention control condition focused on healthy living habits. Results indicated that CGMs who completed the SIT program showed stronger emotional responsiveness to daily positive events, with improvements in positive affect, social engagement, and perspective-taking, while no significant changes were observed in response to daily negative events. The study highlights the SIT program's potential as a scalable, accessible intervention to support the socioemotional functioning of this vulnerable population, though effects were modest and data collection occurred during the COVID-19 pandemic, which may have influenced outcomes and attrition.
Additional Information
- Source:Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2024/07, Vol. 79, Issue 7, p1
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:1079-5014
- DOI:10.1093/geronb/gbae069
- Accession Number:178300162
- Copyright Statement:Copyright of Journals of Gerontology Series B: Psychological Sciences & Social Sciences is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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