IDEAS home Printed from https://ideas.repec.org/a/spr/chinre/v14y2021i3d10.1007_s12187-020-09792-y.html
   My bibliography  Save this article

Subjective Well-Being and Psychopathology Symptoms: Mental Health Profiles and their Relations with Academic Achievement in Brazilian Children

Author

Listed:
  • Aline Riboli Marasca

    (Universidade Federal do Rio Grande do Sul)

  • Maurício Scopel Hoffmann

    (Universidade Federal de Santa Maria
    London School of Economics and Political Science
    Universidade Federal do Rio Grande do Sul)

  • Anelise Reis Gaya

    (Universidade Federal do Rio Grande do Sul)

  • Denise Ruschel Bandeira

    (Universidade Federal do Rio Grande do Sul)

Abstract

The aim of this study is to examine the differences in children’s academic achievement considering their mental health profiles. Previous studies have started to seek those differences. However, it is not clear what are the academic achievement differences considering distinct children’s mental health profile. We used a cross-sectional study sample of 273 students from an elementary school (6–11 years of age) in Porto Alegre, Brazil. Mental health profiles were empirically investigated using latent class analysis by combining a subjective well-being measure and a psychopathology symptom screening. Standardized tests and school grades were considered to assess academic achievement. Findings reveal an empirical division of the sample into four mental health groups. The adjusted analysis revealed that the group with a high level of symptoms, despite having high subjective well-being, had lower levels of academic achievement when compared with the other groups, which have low to moderate levels of psychopathology. Present findings support the idea that psychopathology is a detrimental factor for educational achievement regardless of the levels of wellbeing.

Suggested Citation

  • Aline Riboli Marasca & Maurício Scopel Hoffmann & Anelise Reis Gaya & Denise Ruschel Bandeira, 2021. "Subjective Well-Being and Psychopathology Symptoms: Mental Health Profiles and their Relations with Academic Achievement in Brazilian Children," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(3), pages 1121-1137, June.
    • Handle: RePEc:spr:chinre:v:14:y:2021:i:3:d:10.1007_s12187-020-09792-y
    DOI: 10.1007/s12187-020-09792-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12187-020-09792-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12187-020-09792-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Unni Moksnes & Audhild Løhre & Monica Lillefjell & Don Byrne & Gørill Haugan, 2016. "The Association Between School Stress, Life Satisfaction and Depressive Symptoms in Adolescents: Life Satisfaction as a Potential Mediator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(1), pages 339-357, January.
    2. Peter Greenspoon & Donald Saklofske, 2001. "Toward an Integration of Subjective Well-Being and Psychopathology," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 54(1), pages 81-108, April.
    3. Linzer, Drew A. & Lewis, Jeffrey B., 2011. "poLCA: An R Package for Polytomous Variable Latent Class Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i10).
    4. Shannon Suldo & Michael Frank & Ashley Chappel & Melanie Albers & Lisa Bateman, 2014. "American High School Students’ Perceptions of Determinants of Life Satisfaction," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 485-514, September.
    5. Michael Lyons & E. Huebner & Kimberly Hills, 2013. "The Dual-Factor Model of Mental Health: A Short-Term Longitudinal Study of School-Related Outcomes," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(2), pages 549-565, November.
    6. Susana Marques & J. Pais-Ribeiro & Shane Lopez, 2011. "The Role of Positive Psychology Constructs in Predicting Mental Health and Academic Achievement in Children and Adolescents: A Two-Year Longitudinal Study," Journal of Happiness Studies, Springer, vol. 12(6), pages 1049-1062, December.
    7. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    8. Ferran Casas & Sergiu Bălţătescu & Irma Bertran & Mònica González & Adrian Hatos, 2013. "School Satisfaction Among Adolescents: Testing Different Indicators for its Measurement and its Relationship with Overall Life Satisfaction and Subjective Well-Being in Romania and Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(3), pages 665-681, May.
    9. Rachel Sun & Daniel Shek, 2013. "Longitudinal Influences of Positive Youth Development and Life Satisfaction on Problem Behaviour among Adolescents in Hong Kong," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(3), pages 1171-1197, December.
    10. Magalhães, Eunice & Calheiros, Maria Manuela, 2017. "A dual-factor model of mental health and social support: Evidence with adolescents in residential care," Children and Youth Services Review, Elsevier, vol. 79(C), pages 442-449.
    11. Ed Diener & Shigehiro Oishi & Louis Tay, 2018. "Advances in subjective well-being research," Nature Human Behaviour, Nature, vol. 2(4), pages 253-260, April.
    12. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zi Jia Ng & Eugene Scott Huebner & Alberto Maydeu-Olivares & Kimberly Joy Hills, 2018. "Confirmatory Factor Analytic Structure and Measurement Invariance of the Brief Multidimensional Students’ Life Satisfaction Scale (BMSLSS) in a Longitudinal Sample of Adolescents," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(4), pages 1237-1247, August.
    2. Guangchao Feng, 2014. "Estimating intercoder reliability: a structural equation modeling approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2355-2369, July.
    3. repec:jss:jstsof:06:i02 is not listed on IDEAS
    4. Md. Matiar Rahman & Mahbubul Muttakin & Animesh Pal & Abu Zar Shafiullah & Bidyut Baran Saha, 2019. "A Statistical Approach to Determine Optimal Models for IUPAC-Classified Adsorption Isotherms," Energies, MDPI, vol. 12(23), pages 1-34, November.
    5. Marianna Virtanen & Jussi Vahtera & Jenny Head & Rosemary Dray-Spira & Annaleena Okuloff & Adam G Tabak & Marcel Goldberg & Jenni Ervasti & Markus Jokela & Archana Singh-Manoux & Jaana Pentti & Marie , 2015. "Work Disability among Employees with Diabetes: Latent Class Analysis of Risk Factors in Three Prospective Cohort Studies," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-14, November.
    6. Po-Hsien Huang, 2017. "Asymptotics of AIC, BIC, and RMSEA for Model Selection in Structural Equation Modeling," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 407-426, June.
    7. Vicente Prado-Gascó & Virginia Romero-Reignier & Patricia Mesa-Gresa & Ana Belén Górriz, 2020. "Subjective Well-Being in Spanish Adolescents: Psychometric Properties of the Scale of Positive and Negative Experiences," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
    8. Qi Chen & Wen Luo & Gregory J. Palardy & Ryan Glaman & Amber McEnturff, 2017. "The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored," SAGE Open, , vol. 7(1), pages 21582440177, March.
    9. Wang, Wan-Lun & Castro, Luis M. & Lin, Tsung-I, 2017. "Automated learning of t factor analysis models with complete and incomplete data," Journal of Multivariate Analysis, Elsevier, vol. 161(C), pages 157-171.
    10. Bartolucci, Francesco & Bacci, Silvia & Pigini, Claudia, 2017. "Misspecification test for random effects in generalized linear finite-mixture models for clustered binary and ordered data," Econometrics and Statistics, Elsevier, vol. 3(C), pages 112-131.
    11. Terry Elrod & Gerald Häubl & Steven Tipps, 2012. "Parsimonious Structural Equation Models for Repeated Measures Data, with Application to the Study of Consumer Preferences," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 358-387, April.
    12. Yu Ling & E. Scott Huebner & Hongmei Yuan & Zhihua Li & Wenli Liu, 2016. "Subtyping of Strengths and Difficulties in a Chinese Adolescent Sample: a Latent Class Analysis," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(4), pages 933-948, December.
    13. Laurent Ott & Mehdi Farsi & Sylvain Weber, 2021. "Beyond political divides: analyzing public opinion on carbon taxation in Switzerland," Chapters, in: Axel Franzen & Sebastian Mader (ed.), Research Handbook on Environmental Sociology, chapter 17, pages 313-339, Edward Elgar Publishing.
    14. Pablo Nájera & Francisco J. Abad & Chia-Yi Chiu & Miguel A. Sorrel, 2023. "The Restricted DINA Model: A Comprehensive Cognitive Diagnostic Model for Classroom-Level Assessments," Journal of Educational and Behavioral Statistics, , vol. 48(6), pages 719-749, December.
    15. Tsung-I Lin & Pal Wu & Geoffrey McLachlan & Sharon Lee, 2015. "A robust factor analysis model using the restricted skew- $$t$$ t distribution," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(3), pages 510-531, September.
    16. Lehrl, Simone & Smidt, Wilfried & Grosse, Christiane & Richter, David, 2014. "Patterns of Literacy and Numeracy Activities in Preschool and Their Relation to Structural Characteristics and Children's Home Activities," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29(5), pages 577-597.
    17. Steven B. Caudill & James E. Long & Franklin G. Mixon, 2012. "Female athletic participation and income: evidence from a latent class model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(3), pages 477-488, June.
    18. Francesco BARTOLUCCI & Silvia BACCI & Claudia PIGINI, 2015. "A Misspecification Test for Finite-Mixture Logistic Models for Clustered Binary and Ordered Responses," Working Papers 410, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    19. dos Santos, Fabio Luis Marques & Duboz, Amandine & Grosso, Monica & Raposo, María Alonso & Krause, Jette & Mourtzouchou, Andromachi & Balahur, Alexandra & Ciuffo, Biagio, 2022. "An acceptance divergence? Media, citizens and policy perspectives on autonomous cars in the European Union," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 224-238.
    20. Nicolas Depraetere & Martina Vandebroek, 2014. "Order selection in finite mixtures of linear regressions," Statistical Papers, Springer, vol. 55(3), pages 871-911, August.
    21. Stephens, Christina M. & Crosby, Danielle A. & Mendez Smith, Julia, 2024. "Accessibility of the early care and education supply: Variation within the center-based provider sector," Children and Youth Services Review, Elsevier, vol. 164(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:chinre:v:14:y:2021:i:3:d:10.1007_s12187-020-09792-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.