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Interpersonal Problem-Solving Skills, Executive Function and Learning Potential in Preadolescents with High/Low Family Risk

Published online by Cambridge University Press:  30 October 2017

Sara Mata*
Affiliation:
Universidad de Granada (Spain)
M. Mar Gómez-Pérez
Affiliation:
Universidad de Granada (Spain)
Clara Molinero
Affiliation:
Universidad de Granada (Spain)
M. Dolores Calero
Affiliation:
Universidad de Granada (Spain)
*
*Correspondence concerning this article should be addressed to Sara Mata. Personality, Assessment and Treatment Department. Universidad de Granada. Campus Cartuja s/n. 18071. Granada (Spain). Phone: +34–680904650. E-mail: saramata@ugr.es

Abstract

Situations generated by high family risk have a negative effect on personal development, especially during preadolescence. Growing up in the presence of risk factors can lead to negative consequences on mental health or on school performance. The objective of this study focuses on individual factors related to this phenomenon during preadolescence. Specifically, we seek to establish whether level of family risk (high vs. low risk) is related to interpersonal problem-solving skills, executive function and learning potential in a sample of preadolescents controlling age, sex, total IQ, verbal comprehension ability and the classroom influences. The participants were 40 children, 23 boys and 17 girls between the ages of 7 and 12, twenty of which had a record on file with the Social and Childhood Protection Services of Information deleted to maintain the integrity of the review process, and therefore, a high family risk situation. The other 20 participants had a low family risk situation. Results show that the preadolescents from high family risk performed worse on interpersonal solving-problem skills and executive function (p < .05, b from –119,201.81 to 132,199.43, confidence interval from –162,589.78/–75,813.8 to 84,403.05/179,995.8). Nevertheless, they showed the same ability to learn as the participants from low family risk. These results highlight the negative effects of high family risk situation in preadolescents and give value of taking into account protective factors such as learning potential when assessing preadolescents from high family risk.

Type
Research Article
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2017 

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Footnotes

This research was supported by the Spanish Ministerio de Ciencia e Innovación, R&D Project Ref. 2011–24370 and by the Junta de Andalucía through Proyecto de Excelencia convocatoria 2012, Ref. P12-SEJ-560. The data included in this paper are part of the Doctoral dissertation of M. Mar Gómez-Pérez. We are grateful to the participants, their parents and staff from the Salle school Sagrado Corazón de Jesús, in Antequera (Spain). This project was approved by the Ethics Committee of the Universidad de Granada. All authors are affiliated to Centro de Investigación Mente, Cerebro y Comportamiento (CIMCYC), Facultad de Psicología, Universidad de Granada.

How to cite this article:

Mata, S., Gómez-Pérez, M. M., Molinero, C., & Calero, M. D. (2017). Interpersonal problem-solving skills, executive function and learning potential in preadolescents with high/low family risk. The Spanish Journal of Psychology, 20. e56. Doi:10.1017/sjp.2017.54

References

Andersen, S. L. (2003). Trajectories of brain development: Point of vulnerability or window of opportunity? Neuroscience and Biobehavioral Reviews, 27, 318. https://doi.org/10.1016/S0149-7634(03)00005-8 CrossRefGoogle ScholarPubMed
Arán-Filippetti, V., & Richaud de Minzi, M. C. (2011). Efectos de un programa intervención para aumentar la reflexividad y la planificación en un ámbito escolar de alto riesgo por pobreza [Effects of an intervention program to increase reflectivity and planning in a high poverty-risk school setting]. Universitas Psychologica, 10, 341354.CrossRefGoogle Scholar
Bäckman, O., & Nilsson, A. (2011). Pathways to social exclusion. A life-course study. European Sociological Review, 27(1), 107123. https://doi.org/10.1093/esr/jcp064 CrossRefGoogle Scholar
Bornstein, M. H., Hahn, C. S., & Haynes, O. M. (2010). Social competence, externalizing, and internalizing behavioral adjustment from early childhood through early adolescence: Developmental cascades. Development and Psychopathology, 22, 717735. https://doi.org/10.1017/S0954579410000416 CrossRefGoogle ScholarPubMed
Calero, M. D., Fernández-Parra, A., López-Rubio, S., Carles, R., Mata, S., Vives, M. C., … Márquez, J. (2013). Variables involved in personal, social and school adjustment in a sample of preschool-aged children from different cultural backgrounds. European Journal of Psychology of Education, 28(1), 133155. https://doi.org/10.1007/s10212-012-0107-8 CrossRefGoogle Scholar
Calero, M. D., García-Martín, M. B., Molinero, C., & Bonete, S. (2009). Evaluación de solución de conflictos interpersonales (ESCI) [Assessment of interpersonal conflict resolution]. Unpublished manuscript. University of Granada, Spain.Google Scholar
Calero, M. D., Mata, S., Carles, R., Vives, C., López-Rubio, S., Fernández-Parra, A., & Navarro, E. (2013). Learning potential and adaptation to the educational context: The usefulness of the ACFS for assessing immigrant preschool children. Psychology in the Schools, 50, 705721. https://doi.org/10.1002/pits.21701 CrossRefGoogle Scholar
Chang, E. C., D´Zurilla, T. J., & Sanna, L. J. (2009). Social problem solving as a mediator of the link between stress and psychological well-being in middle-adulthood. Cognitive Therapy and Research, 33(1), 3349. https://doi.org/10.1007/s10608-007-9155-9 CrossRefGoogle Scholar
De Carlo, C., Wadsworth, M. E., & Stump, J. (2011). Socioeconomic status, neighborhood disadvantage, and poverty-related stress: Prospective effects on psychological syndromes among diverse low-income families. Journal of Economic Psychology, 32, 218230. https://doi.org/10.1016/J.JOEP.2009.10.008 Google Scholar
D’Zurilla, T. J., & Nezu, A. M. (2010). Problem-solving therapy. In Dobson, K. S. (Ed.), Handbook of cognitive-behavioral therapies (pp. 197225). New York, NY: Guilford Press.Google Scholar
Ekman, P., & Friesen, W. V. (1976). Pictures of facial affect. Palo Alto, CA: Consulting Psychologist´s Press.Google Scholar
Golden, C. J. (2006). Stroop: Test de colores y palabras [Stroop: Color and word test]. Madrid, Spain: TEA ediciones.Google Scholar
Haywood, H. C. (2012). Dynamic assessment: A history of fundamental ideas. Journal of Cognitive Education and Psychology, 11, 217229. https://doi.org/10.1891/1945-8959.11.3.217 CrossRefGoogle Scholar
Haywood, H. C., & Lidz, C. S. (2007). Dynamic assessment in practice: Clinical and educational applications. Cambridge, UK: University Press.Google Scholar
Isaacowitz, D. M., & Standley, J. T. (2011). Bringing an ecological perspective to the study of aging and recognition of emotional facial expression: Past, current and future methods. Journal of Non-verbal Behavior, 35, 261278. https://doi.org/10.1007/s10919-011-0113-6 CrossRefGoogle Scholar
Ison, M. S., & Morelato, G. S. (2002). Contextos familiar y desarrollo de habilidades cognitivas para la resolución de problemas interpersonales en niños [Family contexts and development of cognitive skills for the resolution of interpersonal problems in children]. PSYKHE, 11(1), 149157.Google Scholar
Leist, T., & Dadds, M. R. (2009). Adolescents’ ability to read different emotional faces relates to their history of maltreatment and type of psychopathology. Clinical Child Psychology and Psychiatry, 14, 237250. https://doi.org/10.1177/1359104508100887 CrossRefGoogle ScholarPubMed
Leshner, A. F., Tom, S. R., & Kern, R. S. (2013). Errorless learning and social problem solving ability in schizophrenia: An examination of the compensatory effects of training. Psychiatry Research, 206(1), 17. https://doi.org/10.1016/j.psychres.2012.10.007 CrossRefGoogle ScholarPubMed
Magura, S., & Moses, B. S. (1986). Outcome measures for child welfare services. Washington, DC: Child Welfare League of America.Google Scholar
Martin, J. P., Stack, D. M., Serbin, L. A., Schwartzman, A. E., & Ledingham, J. (2012). Social problem solving in high-risk mother-child dyads: An intergenerational study. Social Development, 21(1), 4767. https://doi.org/10.1111/j.1467-9507.2011.00600.x CrossRefGoogle Scholar
Mistry, R. S., Benner, A. D., Biesanz, J. C., Clark, S. L., & Howes, C. (2010). Family and social risk, and parental investments during the early childhood years as predictors of low-income children’s school readiness outcomes. Early Childhood Research Quarterly, 25, 432449. https://doi.org/10.1016/j.ecresq.2010.01.002 CrossRefGoogle Scholar
Molinero, C. (2015). Análisis psicométrico de la Escala de Evaluación de Solución de Conflictos Interpersonales (ESCI) [Psychometric analysis of the assessment of interpersonal conflict resolution test] (Unpublished doctoral dissertation). University of Granada, Spain.Google Scholar
Molinero, C., Bonete, S., Gómez-Pérez, M. M., & Calero, M. D. (2015). Estudio normativo del test de 60 caras de Ekman para adolescentes españoles [Normative study of Ekman 60 Faces test for Spanish adolescents]. Behavioral Psychology/Psicología Conductual, 23, 361371.Google Scholar
Montgomery, J. M., Stoesz, B. M., & McCrimmon, A. W. (2013). Emotional intelligence, theory of mind, and executive functions as predictors of social outcomes in young adults with Asperger Syndrome. Focus on Autism and Other Developmental Disabilities, 28(1), 413. https://doi.org/10.1177/1088357612461525 CrossRefGoogle Scholar
Pollack, S. D, Cicchetti, D., Klorman, R., & Brumaghim, J. T. (1997). Cognitive brain event-related potentials and emotion processing in maltreated children. Child Development, 68, 773787. https://doi.org/10.1111/j.1467-8624.1997.tb01961.x CrossRefGoogle Scholar
Prochnow, D., Brunheim, L., Steinhäuser, S., & Seitz, R. J. (2014). Reasoning about the implications of facial expressions: A behavioral and fMRI study on low and high social impact. Brain and Cognition, 90, 165173. https://doi.org/10.1016/j.bandc.2014.07.004 CrossRefGoogle Scholar
Sarsour, K., Sheridan, M., Jutte, D., Nuru-Jeter, A., Hinshaw, S., & Boyce, W. T. (2011). Family socioeconomic status and child executive functions: The roles of language, home environment, and single parenthood. Journal of the International Neuropsychological Society, 17(1), 120132. https://doi.org/10.1017/S1355617710001335 CrossRefGoogle ScholarPubMed
Schölmerich, A., Leyendecker, B., Citlak, B., Caspar, U., & Jäkel, J. (2008). Assessment of migrant and minority children. Zeitschrift für Psychologie/Journal of Psychology, 216, 187194. https://doi.org/10.1027/0044-3409.216.3.187 CrossRefGoogle Scholar
Tzuriel, D. (2013). Mediated learning experience and cognitive modifiability. Journal of Cognitive Education and Psychology, 12(1), 5980. https://doi.org/10.1891/1945-8959.12.1.59 CrossRefGoogle Scholar
Wechsler, D. (2005). Escala de Inteligencia de Wechsler para Niños- IV (WISC-IV) [Wechsler Intelligence Scale for Children-IV]. Madrid, Spain: TEA Ediciones.Google Scholar
Weingartz, S., Wiedl, K. H., & Watzke, S. (2008). Dynamic assessment of executive functioning: How can we measure change? Journal of Cognitive Education and Psychology, 7, 368387. https://doi.org/10.1891/194589508787724088 CrossRefGoogle Scholar
Whittaker, J. E. V., Harden, B. J., See, H. M., Meisch, A. D., & Westbrook, T. R. (2011). Family risks and protective factors: Pathways to early head start toddlers’ social-emotional functioning. Early Childhood Research Quarterly, 26(1), 7486. https://doi.org/10.1016/j.ecresq.2010.04.007 CrossRefGoogle Scholar
Wiedl, K. H., Mata, S., Waldorf, M., & Calero, M. D. (2014). Dynamic testing with native and migrant preschool children in Germany and Spain, using the Application of Cognitive Functions Scale. Learning and Individual Differences, 35, 3440. https://doi.org/10.1016/j.lindif.2014.07.003 CrossRefGoogle Scholar
Wiedl, K. H., Schöttke, H., & Calero, M. D. (2001). Dynamic assessment of cognitive rehabilitation potential in schizophrenic persons and in old people with and without dementia. European Journal of Psychological Assessment, 17, 112119.CrossRefGoogle Scholar
Yoshikawa, H., Aber, J. L., & Beardslee, W. R. (2012). The effects of poverty on the mental, emotional, and behavioral health of children and youth. Implications for prevention. American Psychologist, 67, 272284. https://doi.org/10.1037/a0028015 CrossRefGoogle ScholarPubMed
Young, A. W., Perrett, D., Calder, A., Sprengelmeyr, R., & Ekman, P. (2002). Facial expressions of emotions: Stimuli and test. San Antonio, TX: Harcourt Assessment.Google Scholar
Young, J. C., & Widom, C. S. (2014). Long-term effects of child abuse and neglect on emotion processing in adulthood. Child Abuse & Neglect, 38, 13691381. https://doi.org/10.1016/j.chiabu.2014.03.008 CrossRefGoogle ScholarPubMed
Youngstrom, E., Wolpaw, J. M., Kogos, J. L., Schoff, K., Ackerman, B., & Izard, C. (2000). Interpersonal problem solving in preschool and first grade: Developmental change and ecological validity. Journal of Clinical Child Psychology, 29, 589602. https://doi.org/10.1207/S15374424JCCP2904_11 CrossRefGoogle ScholarPubMed