TY - JOUR
T1 - Cognitive, emotional, and social factors promoting psychosocial adaptation
T2 - a study of latent profiles in people living in socially vulnerable contexts
AU - Carriedo, Nuria
AU - Rodríguez-Villagra, Odir A.
AU - Moguilner, Sebastián
AU - Morales-Sepulveda, Juan Pablo
AU - Huepe-Artigas, Daniela
AU - Soto, Vicente
AU - Franco-O’Byrne, Daniel
AU - Ibáñez, Agustín
AU - Bekinschtein, Tristan A.
AU - Huepe, David
N1 - Publisher Copyright:
Copyright © 2024 Carriedo, Rodríguez-Villagra, Moguilner, Morales-Sepulveda, Huepe-Artigas, Soto, Franco-O’Byrne, Ibáñez, Bekinschtein and Huepe.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - affective
KW - cognitive and social factors
KW - latent profiles analyses
KW - psychosocial adaptation
KW - social adaptation
KW - socially vulnerable populations
UR - http://www.scopus.com/inward/record.url?scp=85191374190&partnerID=8YFLogxK
U2 - 10.3389/fpsyg.2024.1321242
DO - 10.3389/fpsyg.2024.1321242
M3 - Article
AN - SCOPUS:85191374190
SN - 1664-1078
VL - 15
JO - Frontiers in Psychology
JF - Frontiers in Psychology
M1 - 1321242
ER -