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Psychopathological Factors that can Influence Academic Achievement in early Adolescence: a Three-Year Prospective Study

Published online by Cambridge University Press:  30 December 2014

Núria Voltas
Affiliation:
Universitat Rovira i Virgili (Spain)
Carmen Hernández-Martínez
Affiliation:
Universitat Rovira i Virgili (Spain)
Estefania Aparicio
Affiliation:
Universitat Rovira i Virgili (Spain)
Victoria Arija
Affiliation:
Universitat Rovira i Virgili (Spain)
Josefa Canals*
Affiliation:
Universitat Rovira i Virgili (Spain)
*
*Correspondence concerning this article should be addressed to Josefa Canals. Departament de Psicologia. Centre de Recerca en Avaluació i Mesura de la Conducta (CRAMC). Universitat Rovira i Virgili. Crta. Valls, s/n. 43007. Tarragona (Spain). Phone: +34–977257897. E-mail: [email protected]

Abstract

This three-phase prospective study investigated psychosocial factors predicting or associated with academic achievement. An initial sample of 1,514 school-age children was assessed with screening tools for emotional problems (Screen for Childhood Anxiety and Related Emotional Disorders; Leyton Obsessional Inventory-Child Version; Children’s Depression Inventory). The following year, 562 subjects (risk group/without risk group) were re-assessed and attention deficit/hyperactivity disorder (ADHD) was assessed. Two years later, 242 subjects were followed, and their parents informed about their academic achievement. Results showed that early depression (phase 1 B = –.130, p = .001; phase 1 + phase 2 B = –.187, p < .001), persistent anxiety symptoms (phase 1 + phase 2 B = –1.721, p = .018), and ADHD were predictors of lower academic achievement (phase 1 + phase 2 B = -3.415, p = .005). However, some anxiety symptoms can improve academic achievement (Social phobia B = .216, p = .018; Generalized anxiety B = .313, p < .001). Socio-economic status (SES) was positively related to academic achievement. We can conclude that in the transition period to adolescence, school-health professionals and teachers need to consider the emotional issues of students to avoid unwanted academic outcomes.

Type
Research Article
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2014 

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References

Aronen, E. T., Vuontela, V., Steenari, M. R., Salmi, J., & Carlson, S. (2005). Working memory, psychiatry symptoms, and academic performance at school. Neurobiology of Learning and Memory, 83, 3342. http://dx.doi.org/10.1016/j.nlm.2004.06.010 CrossRefGoogle ScholarPubMed
Barber, B. K., & Olsen, J. A. (2004). Assessing the transitions to middle and high school. Journal of Adolescent Research, 19, 330. http://dx.doi.org/10.1177/0743558403258113 Google Scholar
Berg, C. Z., Whitaker, A., Davies, M., Flament, M. F., & Rapoport, J. L. (1988). The survey form of the Leyton Obsessional Inventory-Child Version: Norms from an epidemiological study. Journal of the American Academy of Child & Adolescent Psychiatry, 27, 759763. http://dx.doi.org/10.1097/00004583-198811000-00017 Google Scholar
Birmaher, B., Khetarpal, S., Brent, D., Cully, M., Balach, L., Kaufman, J., & Neer, S. M. (1997). The Screen for Child Anxiety Related Emotional Disorders (SCARED): Scale construction and psychometric characteristics. Journal of the American Academy of Child & Adolescent Psychiatry, 36, 545553. http://dx.doi.org/10.1097/00004583-199704000-00018 Google Scholar
Calero, J., Choi, A., & Waisgrais, S. (2010). Determinants of the school failure risk in Spain: A multilevel logistic model approach to PISA-2006. Revista de Educación, N° Extraordinario, 225256.Google Scholar
Canals, J., Hernández-Martínez, C., Cosi, S., & Domènech, E. (2012). Examination of a cutoff score for the Screen for Child Anxiety Related Emotional Disorders (SCARED) in a non-clinical Spanish population. Journal of Anxiety Disorders, 26, 785791. http://dx.doi.org/10.1016/j.janxdis.2012.07.008 Google Scholar
Canals, J., Hernández-Martínez, C., Cosi, S., Lázaro, L., & Toro, J. (2012). The Leyton Obsessional Inventory-Child Version and reliability in Spanish non-clinical population. International Journal of Clinical and Health Psychology, 12, 8196.Google Scholar
Canals, J., Martí-Henneberg, C., Ferdández-Ballart, J., & Domènech, E. (1995). A longitudinal study of depression in urban Spanish puberal population. European Child & Adolescent Psychiatry, 4, 102111.Google Scholar
Caro, D. H., McDonald, J. T., & Willms, J. D. (2009). Socio-economic status and academic achievement trajectories from childhood to adolescence. Canadian Journal of Education, 32, 558590.Google Scholar
Chamorro-Premuzic, T., & Furnham, A. (2005). Personality and intellectual competence. New Jersey, NJ: Lawrence Erlbaum Associates.Google Scholar
Christopher, G., & MacDonald, J. (2005). The impact of clinical depression on working memory. Cognitive Neuropsychiatry, 10, 379399. http://dx.doi.org/10.1080/13546800444000128 Google Scholar
Durlak, J. A., Weissberg, R. P., Dymnicki, A. B., Taylor, R. D., & Schellinger, K. B. (2011). The impact of enhancing students social and emotional learning: A meta-analysis of school-based universal interventions. Child Development, 82, 405432. http://dx.doi.org/10.1111/j.1467-8624.2010.01564.x Google Scholar
Esbjorn, B. H., Bender, P. K., Reinholdt-Dunne, M. L., Munck, L. A., & Ollendick, T. H. (2012). The development of anxiety disorders: Considering the contributions of attachment and emotion regulation. Clinical Child and Family Psychology Review, 15, 129143. http://dx.doi.org/10.1007/s10567-011-0105-4 Google Scholar
Eysenck, M. W., & Derakshan, N. (2011). New perspectives in attentional control theory. Personality and Individual Differences, 50, 955960. http://dx.doi.org/10.1016/j.paid.2010.08.019 Google Scholar
Fergusson, D. M., & Woodward, L. J. (2002). Mental health, educational, and social role outcomes of adolescents with depression. Archives of General Psychiatry, 59, 225231. http://dx.doi.org/10.1001/archpsyc.59.3.225 CrossRefGoogle ScholarPubMed
Fernández-Macías, E., Antón, J. I., Braña, F. J., & Muñoz de Bustillo, R. (2013). Early school-leaving in Spain: Evolution, intensity and determinants. European Journal of Education, 48, 150164. http://dx.doi.org/10.1111/ejed.12000 Google Scholar
Figueras, A., Amador-Campos, J. A., Gómez-Benito, J., & Del Barrio, V. (2010). Psychometric properties of the Children’s Depression Inventory in community and clinical sample. The Spanish Journal of Psychology, 13, 990999. http://dx.doi.org/10.1017/S1138741600002638 Google Scholar
Fröjd, S. A., Nissinen, E. S., Pelkonen, M. U. I., Marttunen, M. J., Koivisto, A. M. &, Kaltiala-Heino, R. (2008). Depression and school performance in middle adolescent boys and girls. Journal of Adolescence, 31, 485498. http://dx.doi.org/10.1016/j.adolescence.2007.08.006 Google Scholar
Gadow, K., & Sprafkin, J. (1999). Youth’s Inventory-4 Manual. Stony Brook, NY: Checkmate Plus, Ltd.Google Scholar
Gadow, K. D., Sprafkin, J., Carlson, G. A., Schneider, J., Nolan, E. E., Mattison, R. E., & Rundberg-Rivera, V. (2002). A DSM-IV-Referenced, adolescent self-report rating scale. Journal of the American Academy of Child & Adolescent Psychiatry, 41, 671679. http://dx.doi.org/10.1097/00004583-200206000-00006 Google Scholar
Geller, D. A., & March, J. (2012). Practice parameter for assessment and treatment of children and adolescents with obsessive-compulsive disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 51, 98113. http://dx.doi.org/10.1016/j.jaac.2011.09.019 CrossRefGoogle Scholar
Grills-Taquechel, A. E., Fletcher, J. M., Vaughn, S. R., Denton, C. A., & Taylor, P. (2013). Anxiety and inattention as predictors of achievement in early elementary school children. Anxiety, Stress, & Coping, 26, 391410. http://dx.doi.org/10.1080/10615806.2012.691969 Google Scholar
Hackman, D. A., Farah, M. J., & Meaney, M. J. (2010). Socioeconomic status and the brain: Mechanistic insights from human and animal research. Science and Society, 11, 651659. http://dx.doi.org/10.1038/nrn2897 Google Scholar
Hollingshead, A. B. (2011). Four factor index of social status. Yale Journal of Sociology, 8, 2152.Google Scholar
Hughes, A. A., Lourea-Waddell, B., & Kendall, P. C. (2008). Somatic complaints in children with anxiety disorders and their unique prediction of poorer academic performance. Child Psychiatry & Human Development, 39, 211220. http://dx.doi.org/10.1007/s10578-007-0082-5 Google Scholar
Karbach, J., Gottschling, J., Spengler, M., Hegewald, K., & Spinath, F. M. (2013). Parental involvement and general cognitive ability as predictors of domain-specific academic achievement in early adolescence. Learning and Instruction, 23, 4351. http://dx.doi.org/10.1016/j.learninstruc.2012.09.004 Google Scholar
Keogh, E., Bond, F. W., French, C. C., Richards, A., & Davis, R. E. (2004). Test anxiety, susceptibility to distraction and examination performance. Anxiety, Stress, & Coping, 17, 241252. http://dx.doi.org/10.1080/10615300410001703472 Google Scholar
Kovacs, M. (1992) Children’s Depression Inventory. North Tonawanda, NY: Multi-HeBaialth Systems INC.Google Scholar
Langberg, J. M., Dvorsky, M. R., & Evans, S. W. (2013). What specific facets of executive function are associated with academic functioning in youth with attention-deficit/hyperactivity disorder? Journal of Abnormal Child Psychology, 41, 11451159. http://dx.doi.org/10.1007/s10802-013-9750-z Google Scholar
Langley, A. K., Lewin, A. B., Bergman, R. L., Lee, J. C., & Piacentini, J. (2010). Correlates of comorbid anxiety and externalizing disorders in childhood obsessive compulsive disorder. European Child & Adolescent Psychiatry, 19, 637645. http://dx.doi.org/10.1007/s00787-010-0101-0 Google Scholar
Lundy, S. M., Silva, G. E., Kaemingk, K. L., Goodwin, J. L., & Quan, S. F. (2010). Cognitive functioning and academic performance in elementary school children with anxious/depressed and withdrawn symptoms. The Open Pediatric Medicine Journal, 4, 19. http://dx.doi.org/10.2174/1874309901004010001 Google Scholar
Ly, J., Zhou, Q., Chu, K., & Chen, S. H. (2012). Teacher-child relationship quality and academic achievement of Chinese American children from immigrant families. Journal of School Psychology, 50, 535553. http://dx.doi.org/10.1016/j.jsp.2012.03.003 Google Scholar
Marcotte, D., Lévesque, N., & Fortin, L. (2006). Variations of cognitive distortions and school performance in depressed and non-depressed high school adolescents: A two-year longitudinal study. Cognitive Therapy and Research, 30, 211225. http://dx.doi.org/10.1007/s10608-006-9020-2 Google Scholar
Matthews, K., Coghill, D., & Rhodes, S. (2008). Neuropsychological functioning in depressed adolescent girls. Journal of Affective Disorders, 111, 113118. http://dx.doi.org/10.1016/j.jad.2008.02.003 Google Scholar
Mychailyszyn, M. P., Brodman, D. M., Read, K. L., & Kendall, P. C. (2012) Cognitive-behavioral school-based interventions for anxious and depressed youth: A meta-analysis of outcomes. Clinical Psychology: Science and Practice, 19, 129153. http://dx.doi.org/10.1111/j.1468-2850.2012.01279.x Google Scholar
Neil, A. L., & Christensen, H. (2009). Efficacy and effectiveness of school-based prevention and early intervention programs for anxiety. Clinical Psychology Review, 29, 208215. http://dx.doi.org/10.1016/j.cpr.2009.01.002 Google Scholar
Newcomb, M. D., Abbott, R. D., Catalano, R. F., Hawkins, J. D., Battin-Pearson, S., & Hill, K. (2002). Mediational and deviance theories of late high directly: Process roles of structural strains, academic competence, and general versus specific problema behavior. Journal of Counseling Psychology, 49, 172186. http://dx.doi.org/10.1037/0022-0167.49.2.172 Google Scholar
Ng, E., & Lee, K. (2010). Children’s task performance under stress and non-stress conditions: A test of the processing efficiency theory. Cognition & Emotion, 24, 12291238. http://dx.doi.org/10.1080/02699930903172328 Google Scholar
Owens, M., Stevenson, J., Hadwin, J. A., & Norgate, R. (2014). When does anxiety help or hinder cognitive test performance? The role of working memory capacity. British Journal of Psychology. 105, 92101. http://dx.doi.org/10.1111/bjop.12009 Google Scholar
Pérez-Sánchez, C. N., Betancort-Montesinos, M., & Cabrera-Rodríguez, L. (2013). Influencias de la familia en el rendimiento académico. Un estudio en Canarias. [Family influences in academic achievement. A study of the Canary Islands]. Revista Internacional de Sociología, 71, 169187. http://dx.doi.org/10.3989/ris.2011.04.11 CrossRefGoogle Scholar
Quiroga, C. V., Janosz, M., Lyons, J. S., & Morin, A. J. S. (2012). Grade retention and seventh-grade depression symptoms in the course of school dropout among high-risk adolescents. Psychology, 3, 749755. http://dx.doi.org/10.4236/psych.2012.329113 Google Scholar
Rapee, R. M., Schniering, C. A., & Hudson, J. L. (2009). Anxiety disorders during childhood and adolescence: Origins and treatment. Annual Review of Clinical Psychology, 5, 311341. http://dx.doi.org/10.1146/annurev.clinpsy.032408.153628 Google Scholar
Scholtens, S., Rydell, A. M., & Yang-Wallentin, F. (2013). ADHD symptoms, academic achievement, self-perception of academic competence and future orientation: A longitudinal study. Scandinavian Journal of Psychology, 54, 205212. http://dx.doi.org/10.1111/sjop.12042 Google Scholar
Sheehan, D. V., Sheehan, K. H., Shytle, R. D., Janavs, J., Bannon, Y., Rogers, J. E., … & Wilkinson, B. (2010). Reliability and validity of the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI- KID). Journal of Clinical Psychiatry, 71, 313326. http://dx.doi.org/10.4088/JCP.09m05305whi Google Scholar
Sheehan, D., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., … & Dunbar, G. C. (1998). The Mini-International Neuropsychiatric Interview (M.I.N.I): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry, 59, 2233.Google Scholar
Srin, S. R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75, 417453. http://dx.doi.org/10.3102/00346543075003417 Google Scholar
Stallard, P., Taylor, G., Anderson, R., Daniels, H., Simpson, N., Phillips, R., & Skryabina, E. (2012). School-based intervention to reduce anxiety in children: Study protocol for randomized controlled trial (PACES). Trials, 13, 227. http://dx.doi.org/10.1186/1745-6215-13-227 Google Scholar
Valiente, C., Swanson, J., & Eisenberg, N. (2012). Linking students’ emotions and academic achievement: When and why emotions matter. Child Development Perspectives, 6, 129135. http://dx.doi.org/10.1111/j.1750-8606.2011.00192.x CrossRefGoogle ScholarPubMed
Vigil-Colet, A., Canals, J., Cosi, S., Lorenzo-Seva, U, Ferrando, P. J., Hernández-Martínez, C. ,... & Domènech, E. (2009). The factorial structure of the 41-item version of the Screen for Child Anxiety related Emotional Disorders (SCARED) in a Spanish population of the 8 to 12 years-old. International Journal of Clinical and Health Psychology, 9, 313327.Google Scholar
Visu-Petra, L., Cheie, L., Benga, O., & Packiam-Alloway, T. (2011). Effects of anxiety on memory storage and updating in young children. Journal of Behavioral Development, 35, 3847. http://dx.doi.org/10.1177/0165025410368945 CrossRefGoogle Scholar
Yeo, L. S., & Choi, P. M. (2011). Cognitive-behavioural therapy for children with behavioural difficulties in the Singapore mainstream school setting. School Psychology International, 32, 616631. http://dx.doi.org/10.1177/0143034311406820 Google Scholar