Persona:
Carriedo López, M. Nuria

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0000-0003-2719-6333
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Carriedo López
Nombre de pila
M. Nuria
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2022 - 20243
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Autor: Rodríguez Villagra, Odir Antonio × Fecha de inicio: 2019 ×

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Mostrando 1 - 3 de 3
  • Miniatura
    Publicación
    Cognitive, emotional, and social factors promoting psychosocial adaptation: a study of latent profiles in people living in socially vulnerable contexts
    (Frontiers, 2024-04-12) Carriedo López, M. Nuria; Rodríguez Villagra, Odir Antonio; Moguilner, Sebastián; Morales Sepulveda, Juan Pablo; Huepe Artigas, Daniela; Soto, Vicente; Franco O’Byrne, Daniel; Ibáñez, Agustín; Bekinschtein, Tristan A.; Huepe, David; https://orcid.org/0000-0002-8545-0857; https://orcid.org/0000-0003-1731-8325; https://orcid.org/0000-0002-1258-5670; https://orcid.org/0000-0003-3494-4213; https://orcid.org/0000-0001-6758-5101; https://orcid.org/0000-0001-8351-5314
    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.
  • Miniatura
    Publicación
    The role of executive functions, social cognition and intelligence in predicting social adaptation of vulnerable populations
    (Springer Nature, 2022-11-04) Schulte, M.; Trujillo, N.; Rodríguez Villagra, Odir Antonio; Salas, N.; Ibañez, A.; Carriedo López, M. Nuria; Huepe, David; https://orcid.org/0000-0002-8545-0857; https://orcid.org/0000-0001-8351-5314
    This study sought to evaluate the roles of and interactions between cognitive processes that have been shown to exhibit impact from socioeconomic status (SES) and living conditions in predicting social adaptation (SA) in a population of adults living in socially vulnerable conditions. Participants included 226 people between the ages of 18 and 60 who have been living in vulnerable contexts throughout life in Santiago, Chile. Data was collected through a battery of psychological assessments. A structural equation model (SEM) was implemented to examine the interrelationships among cognitive and social variables. Results indicate a significant relationship between executive function (EF) and SA through both social cognition (SC) and intelligence. Theory of Mind (ToM), a component of SC, was shown to exhibit a significant relationship with affective empathy; interestingly, this was negatively related to SA. Moreover, fluid intelligence (FI) was found to exhibit a positive, indirect relationship with SA through crystallized intelligence (CI). Evaluation of these results in the context of research on the impacts of SES and vulnerable living conditions on psychological function may allow for the development of more effective clinical, political, and social interventions to support psychosocial health among socially vulnerable populations.
  • Miniatura
    Publicación
    Executive functioning skills and (low) math achievement in primary and secondary school
    (Elsevier, 2023-06-10) Iglesias Sarmiento, Valentín; Carriedo López, M. Nuria; Rodríguez Villagra, Odir Antonio; Pérez, Leire; https://orcid.org/0000-0002-3300-1718; https://orcid.org/0000-0002-8545-0857; https://orcid.org/0000-0002-2477-847X
    Schoolchildren with better executive functioning skills achieve better mathematics results. It is less clear how inhibition, cognitive flexibility, and working memory combine to predict mathematics achievement and difficulty throughout primary and secondary school. This study aimed to find the best combination of executive function measures for predicting mathematical achievement in Grades 2, 6, and 10 and to test whether this combination predicts the probability of having mathematical difficulties across school grades even when fluid intelligence and processing speed were included in the models. A total of 426 students—141 2nd graders (72 girls), 143 6th graders (72 girls), and 142 10th graders (79 girls)—were cross-sectionally assessed with 12 executive tasks, one standardized mathematical task, and a standardized test of intelligence. Bayesian regression analyses found various combinations of executive predictors of mathematical achievement for each school grade spanning Grade 2 to measures of cognitive inhibition (negative priming) and cognitive flexibility (verbal fluency); Grade 6 to measures of inhibition: resistance to distractor interference (receptive attention), cognitive flexibility (local–global), and working memory (counting span); and Grade 10 to measures of inhibition: resistance to distractor interference (receptive attention) and prepotent response inhibition (stop signal) and working memory (reading span). Logistic regression showed that the executive models derived from the Bayesian analyses had a similar ability to classify students with mathematical difficulty and their peers with typical achievement to broader cognitive models that included fluid intelligence and processing speed. Measures of processing speed, cognitive flexibility (local–global), and prepotent response inhibition (stop signal) were the main risk factors in Grades 2, 6, and 10, respectively. Cognitive flexibility (verbal fluency) in Grade 2 and fluid intelligence, which was more stable in all three grades, acted as protective factors against mathematical difficulty. These findings inform practical considerations for establishing preventive and intervention proposals.