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Building Inner Strength: The Interplay between Temperament and Adolescent Resilience.

  • Published In: Indian Journal of Positive Psychology, 2025, v. 16, n. 3. P. 434 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Malhotra, Priyanka; Sharma, Saumya 3 of 3

Abstract

This study explores the relationship between temperament traits and resilience in adolescents, aiming to understand how self-regulatory and affective dimensions of temperament contribute to adaptive functioning. The sample included 110 adolescents (48 males, 62 females) aged 14-16 years, recruited from the Delhi NCR region using purposive and snowball sampling. Participants completed the Early Adolescent Temperament Questionnaire-Revised (EATQ-R) (Ellis & Rothbart, 2001) and the Resilience Scale (Lashmi & Narain, 2017). Pearson correlation analyses were conducted to examine associations between temperament dimensions and resilience factors. Significant positive correlations emerged between attention and inhibitory control with resilience dimensions such as perseverance, composure, and self-reliance. In contrast, traits like fear, frustration, aggression, shyness, and depressive mood showed significant negative correlations with resilience indicators. The findings suggest that effortful control and emotional regulation are integral to fostering resilience in adolescents (Eisenberg et al., 2004). These results highlight temperament as a potential target for resilience-building interventions during adolescence. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Indian Journal of Positive Psychology. 2025/09, Vol. 16, Issue 3, p434
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2025
  • ISSN:2229-4937
  • Accession Number:188772364
  • Copyright Statement:Copyright of Indian Journal of Positive Psychology is the property of Indian Association of Health, Research & Welfare 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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