Cognitive, emotional, and social factors promoting psychosocial adaptation: a study of latent profiles in people living in socially vulnerable contexts

Front Psychol. 2024 Apr 12:15:1321242. doi: 10.3389/fpsyg.2024.1321242. eCollection 2024.

Abstract

Introduction: Social adaptation is a multifaceted process that encompasses cognitive, social, and affective factors. Previous research often focused on isolated variables, overlooking their interactions, especially in challenging environments. Our study addresses this by investigating how cognitive (working memory, verbal intelligence, self-regulation), social (affective empathy, family networks, loneliness), and psychological (locus of control, self-esteem, perceived stress) factors interact to influence social adaptation.

Methods: We analyzed data from 254 adults (55% female) aged 18 to 46 in economically vulnerable households in Santiago, Chile. We used Latent profile analysis (LPA) and machine learning to uncover distinct patters of socioadaptive features and identify the most discriminating features.

Results: LPA showed two distinct psychosocial adaptation profiles: one characterized by effective psychosocial adaptation and another by poor psychosocial adaptation. The adaptive profile featured individuals with strong emotional, cognitive, and behavioral self-regulation, an internal locus of control, high self-esteem, lower stress levels, reduced affective empathy, robust family support, and decreased loneliness. Conversely, the poorly adapted profile exhibited the opposite traits. Machine learning pinpointed six key differentiating factors in various adaptation pathways within the same vulnerable context: high self-esteem, cognitive and behavioral self-regulation, low stress levels, higher education, and increased social support.

Discussion: This research carries significant policy implications, highlighting the need to reinforce protective factors and psychological resources, such as self-esteem, self-regulation, and education, to foster effective adaptation in adversity. Additionally, we identified critical risk factors impacting social adaptation in vulnerable populations, advancing our understanding of this intricate phenomenon.

Keywords: affective; cognitive and social factors; latent profiles analyses; psychosocial adaptation; social adaptation; socially vulnerable populations.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by grants from Comisión Nacional de Investigación Científica y Tecnológica (ANID/FONDECYT Regular N ° 1231117 to David Huepe and 1210195 to Agustín Ibáñez). Nuria Carriedo was supported by a grant from La Secretaría de Estado de Universidades, Investigación, Desarrollo e Innovación de España. Subvención Modalidad A Estancias de profesores e investigadores Sénior en centros extranjeros, incluido el programa Salvador de Madariaga (PRX19/00147). AI is supported by the Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat), funded by the National Institutes of Aging of the National Institutes of Health under award number R01AG057234, an Alzheimer’s Association grant (SG-20-725707-ReDLat), the Rainwater Foundation, and the Global Brain Health Institute; as well as by CONICET; FONCYT-PICT (2017–1818, 2017–1820); ANID/FONDECYT Regular (1210195 and 1210176); ANID/FONDAP (15150012); ANID/PIA/ANILLOS ACT210096; and Sistema General de Regalías (BPIN2018000100059), Universidad del Valle (CI 5316). AMG is an Atlantic Fellow at the Global Brain Health Institute (GBHI) and is supported with funding from GBHI, Alzheimer’s Association, and Alzheimer’s Society (Alzheimer’s Association GBHI ALZ United Kingdom-22-865742); CONICET; ANID, FONDECYT Regular [1210176]; and Programa Interdisciplinario de Investigación Experimental en Comunicación y Cognición (PIIECC), Facultad de Humanidades, USACH.