Skip to main content

Advertisement

Log in

Three-Wave Longitudinal Study of a Dual-Factor Model: Mental Health Status and Academic Outcomes for High School Students in Academically Accelerated Curricula

  • Original Paper
  • Published:
School Mental Health Aims and scope Submit manuscript

Abstract

A dual-factor model (DFM) of mental health conceptualizes complete mental health as both low levels of psychopathology and high levels of subjective well-being (SWB). Although middle adolescence (ages 14 to 18 years old) is associated with increases in symptoms of psychopathology and declines in SWB, further research is needed to understand how youths’ membership in a DFM changes across multiple time points. This study analyzed the stability of a DFM for students enrolled in accelerated coursework, and the relationship between initial mental health status and immediate and distal academic outcomes (i.e., student engagement and grade point average). A sample of 328 students reported on well-being, symptoms of psychopathology, and engagement (affective, behavioral, and cognitive) during the 9th grade fall, 9th grade spring, and 10th grade spring. School records indicated grade point averages at the end of 9th and 10th grade. Findings indicated that approximately 53% of youth changed mental health status over time, frequently due to a simultaneous increase in psychopathology and decrease in SWB. Results from multilevel modeling indicated that, regardless of level of psychopathology, initial low levels of SWB significantly predicted lower academic performance and student engagement over time compared to complete mental health (i.e., high SWB in combination with low psychopathology). Given students’ declining mental health across 9th and 10th grade, and the relationship between mental health and academic outcomes, educators should consider monitoring and fostering both positive and negative indicators of mental health during the start of high school.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data Availability

The data used in this study are part of an ongoing intervention study and not yet publicly available.

References

  • Achenbach, T. M., McConaughy, S. H., Ivanova, M. Y., & Rescorla, L.A. (2011). Manual for the ASEBA brief problem monitorTM (BPM). University of Vermont, Research Center for Children, Youth, & Families.

  • Achenbach, T. M., McConaughy, S. H., Ivanova, M. Y., & Rescorla, L.A. (2017). Manual for the ASEBA brief problem monitorTM for ages 618 (BPM/618). University of Vermont, Research Center for Children, Youth, & Families.

  • Antaramian, S. P., & Huebner, E. S. (2009). Stability of adolescents’ multidimensional life satisfaction reports. Journal of Psychoeducational Assessment, 27(5), 421–425. https://doi.org/10.1177/0734282909331744

    Article  Google Scholar 

  • Benner, A. D., & Graham, S. (2009). The transition to high school as a developmental process among multiethnic urban youth. Child Development, 80(2), 356–376. https://doi.org/10.1111/j.1467-8624.2009.01265.x

    Article  PubMed  Google Scholar 

  • Bos, H. M. W., Sandfort, T. G. M., de Bruyn, E. H., & Hakvoort, E. M. (2008). Same-sex attraction social relationships psychosocial functioning and school performance in early adolescence. Developmental Psychology, 44(1), 59–68. https://doi.org/10.1037/0012-1649.44.1.59

    Article  PubMed  Google Scholar 

  • Cavallo, F., Dalmasso, P., Ottova-Jordan, V., Brooks, F., Mazur, J., Valimaa, R., Gobina, I., Gaspar de Matos, M., Raven-Sieberer, U., & The Positive Health Focus Group. (2015). Trends in life satisfaction in European and North-American adolescents from 2002 to 2010 in over 30 countries. The European Journal of Public Health, 25(suppl 2), 80–82.https://doi.org/10.1093/eurpub/ckv014

  • College Board. (2019). AP at a glance. https://apcentral.collegeboard.org/about-ap/ap-a-glance

  • Diener, E., Scollon, C. N., & Lucas, R. E. (2009). The evolving concept of subjective well-being: the multi-faceted nature of happiness. In E. Diener (Ed.), Assessing well-being: the collected works of Diener (pp. 67–100). ,: Springer.

    Chapter  Google Scholar 

  • Doll, B., Dart, E. H., Arora, P., & Collins, T. A. (2021). Framing school mental health services within a dual-factor model of mental health. In P. J. Lazarus, S. M. Suldo, & B. Doll (Eds.), Fostering the emotional well-being of youth: A school-based approach. Oxford University Press.

    Google Scholar 

  • Ebesutani, C., Regan, J., Smith, A., Reise, S., Higa-McMillan, C., & Chorpita, B. F. (2012). The 10-item Positive and Negative Affect Schedule for children, child and parent shortened versions: application of item response theory for more efficient assessment. Journal of Psychopathology and Behavioral Assessment, 34, 191–203. https://doi.org/10.1007/s10862-011-9273-2

    Article  Google Scholar 

  • Florida Department of Education. (2020). Gifted education. http://www.fldoe.org/academics/exceptional-student-edu/gifted-edu.stml

  • Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218–226.

    Article  PubMed  Google Scholar 

  • Furlong, M. J., You, S., Renshaw, T. L., Smith, D. C., & O’Malley, M. D. (2014). Preliminary development and validation of the social and emotional health survey for secondary school students. Social Indicators Research, 117(3), 1011–1032. https://doi.org/10.1007/s11205-013-0373-0

    Article  Google Scholar 

  • García-Moya, I., Johansson, K., Ragnarsson, S., Bergström, E., & Petersen, S. (2019). School experiences in relation to emotional and conduct problems in adolescence: A 3-year follow up study. European Journal of Public Health, 29(3), 436–441. https://doi.org/10.1093/eurpub/cky244

    Article  PubMed  Google Scholar 

  • Goldbeck, L., Schmitz, T. G., Besier, T., Herschbach, P., & Henrich, G. (2007). Life satisfaction decreases during adolescence. Quality of Life Research, 16(6), 969–979. https://doi.org/10.1007/s11136-007-9205-5

    Article  PubMed  Google Scholar 

  • Greenspoon, P. J., & Saklofske, D. H. (2001). Toward an integration of subjective well-being and psychopathology. Social Indicators Research, 54(1), 81–108.

    Article  Google Scholar 

  • Huebner, E. S. (1991). Initial development of the Student’s Life Satisfaction Scale. School Psychology International, 12(3), 231–240. https://doi.org/10.1177/0143034391123010

    Article  Google Scholar 

  • Kelly, R. M., Hills, K. J., Huebner, E. S., & McQuillin, S. D. (2012). The longitudinal stability and dynamics of group membership in the dual-factor model of mental health: psychosocial predictors of mental health. Canadian Journal of School Psychology, 27(4), 337–355. https://doi.org/10.1177/0829573512458505

    Article  Google Scholar 

  • Kiang, L., & Ip, E. (2018). Longitudinal profiles of eudaimonic well-being in Asian American adolescents. Cultural Diversity and Ethnic Minority Psychology, 24(1), 62–74. https://doi.org/10.1037/cdp0000156

    Article  PubMed  Google Scholar 

  • King, R. B., & Gaerlan, M. J. M. (2014). High self-control predicts more positive emotions better engagement and higher achievement in school. European Journal of Psychology of Education, 29(1), 81–100. https://doi.org/10.1007/s10212-013-0188-z

    Article  Google Scholar 

  • Laurent, J., Catanzaro, S. J., Joiner, T. E., Jr., Rudolph, K. D., Potter, K. I., Lambert, S., Osborne, L., & Gathright, T. (1999). A measure of positive and negative affect for children: scale development and preliminary validation. Psychological Assessment, 11(3), 326–338. https://doi.org/10.1037/1040-3590.11.3.326

    Article  Google Scholar 

  • Lewis, A., Huebner, E. S., Malone, P., & Valois, R. (2011). Life satisfaction and student engagement in adolescents. Journal of Youth and Adolescence, 40(3), 249–262. https://doi.org/10.1007/s10964-010-9517-6

    Article  PubMed  Google Scholar 

  • Lyons, M. D., Huebner, E. S., & Hills, K. J. (2013). The dual-factor model of mental health: a short-term longitudinal study of school-related outcomes. Social Indicators Research, 114(2), 549–565. https://doi.org/10.1007/s11205-012-0161-2

    Article  Google Scholar 

  • Lyons, M. D., Huebner, E. S., Hills, K. J., & Shinkareva, S. V. (2012). The dual-factor model of mental health: further study of the determinants of group differences. Canadian Journal of School Psychology, 27(2), 183–196. https://doi.org/10.1177/0829573512443669

    Article  Google Scholar 

  • Maddux, J. E. (2005). Stopping the “madness.” In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 3–12). Oxford University Press.

    Google Scholar 

  • McCoach, D. B., & Siegle, D. (2003). The school attitude assessment survey-revised: a new instrument to identify academically able students who underachieve. Educational and Psychological Measurement, 63, 414–429.

    Article  Google Scholar 

  • McMahan, M. M. (2012). A longitudinal examination of high school students’ group membership in a dual-factor model of mental health: Stability of mental health status and predictors of change (Doctoral dissertation). Retrieved from ProQuest dissertations publishing. (UMI No. 3546509)

  • Moilanen, K. L., Shaw, D. S., & Maxwell, K. L. (2010). Developmental cascades: externalizing, internalizing, and academic competence from middle childhood to early adolescence. Development and Psychopathology, 22, 635–653. https://doi.org/10.1017/S0954579410000337

    Article  PubMed  PubMed Central  Google Scholar 

  • Moore, S. A., Dowdy, E., Nylund-Gibson, K., & Furlong, M. J. (2019). An empirical approach to complete mental health classification in adolescents. School Mental Health, 11, 438–453. https://doi.org/10.1007/s12310-019-09311-7

    Article  PubMed  PubMed Central  Google Scholar 

  • O’Brennan, L. M., Suldo, S. M., Shaunessy-Dedrick, E., Dedrick, R. F., Parker, J. S., Lee, J. S., Ferron, J. M., & Hanks, C. (2020). Supports for youth in accelerated high school curricula: An initial study of applicability and acceptability of a motivational interviewing intervention. Gifted Child Quarterly, 64(1), 19–40. https://doi.org/10.1177/0016986219886933

    Article  Google Scholar 

  • Okano, L., Jeon, L., Crandall, A., Powell, T., & Riley, A. (2020). The cascading effects of externalizing behaviors and academic achievement across developmental transitions: Implications for prevention and intervention. Prevention Science, 21(2), 211–221. https://doi.org/10.1007/s11121-019-01055-9

    Article  PubMed  Google Scholar 

  • Prenoveau, J. M., Craske, M. G., Zinbarg, R. E., Mineka, S., Rose, R. D., & Griffith, J. W. (2011). Are anxiety and depression just as stable as personality during late adolescence? Results from a three-year longitudinal latent variable study. Journal of Abnormal Psychology, 120(4), 832–843. https://doi.org/10.1037/a0023939

    Article  PubMed  PubMed Central  Google Scholar 

  • Raiziene, S., Pilkauskaite-Valickiene, R., & Zukauskiene, R. (2013). School burnout and subjective well-being: evidence from cross-lagged relations in a 1-year longitudinal sample. Procedia-Social and Behavioral Sciences, 116, 3254–3258. https://doi.org/10.1016/j.sbspro.2014.01.743

    Article  Google Scholar 

  • Reitz, E., Dekovic, M., & Meijer, A. (2005). The structure and stability of externalizing and internalizing problem behavior during early adolescence. Journal of Youth and Adolescence, 34, 577–588. https://doi.org/10.1007/s10964-005-8947-z

    Article  Google Scholar 

  • Reynolds, C. R., & Kamphaus, R. W. (2015). Behavioral assessment system for children (3rd ed.). Pearson.

    Google Scholar 

  • Rose, T., Lindsey, M. A., Xiao, Y., Finigan-Carr, N. M., & Joe, S. (2017). Mental health and educational experiences among black youth: a latent class analysis. Journal of Youth and Adolescence, 46(11), 2321–2340. https://doi.org/10.1007/s10964-017-0723-3

    Article  PubMed  Google Scholar 

  • Roth, R. A., Suldo, S. M., & Ferron, J. M. (2017). Improving middle school students’ subjective well-being: efficacy of a multicomponent positive psychology intervention targeting small groups of youth. School Psychology Review, 46(1), 21–41. https://doi.org/10.17105/10.17105/SPR46-1.21-41

    Article  Google Scholar 

  • Salmela-Aro, K., Savolainen, H., & Holopainen, L. (2008). Depressive symptoms and school burnout during adolescence: evidence from two cross-lagged longitudinal studies. Journal of Youth and Adolescence, 38, 1316–1327. https://doi.org/10.1007/s10964-008-9334-3

    Article  PubMed  Google Scholar 

  • Seligman, M., & Csikszentmihalyi, M. (2000). Positive psychology: an introduction. American Psychologist, 55, 5–14.

    Article  Google Scholar 

  • Shaunessy-Dedrick, E., Suldo, S. M., O’Brennan, L. M., Dedrick, R. F., Parker, J. S., Ferron, J.M., & DiLeo, L. L. (2021). Acceptability of a preventative coping and connectedness curriculum for high school students entering accelerated courses [Manuscript submitted for publication]. College of Education, University of South Florida.

  • Skinner, E. A., Kindermann, T. A., & Furrer, C. J. (2009). A motivational perspective on engagement and disaffection: conceptualization and assessment of children’s behavioral and emotional participation in academic activities in the classroom. Educational and Psychological Measurement, 69, 493–525.

    Article  Google Scholar 

  • Steinmayr, R., Wirthwein, L., Modler, L., & Barry, M. M. (2019). Development of subjective well-being in adolescence. International Journal of Environmental Research and Public Health, 16(19), 3690–3713. https://doi.org/10.3390/ijerph16193690

    Article  PubMed Central  Google Scholar 

  • Suldo, S. M., & Doll, B. (2021). Conceptualizing youth mental health through a dual-factor model. In P. J. Lazarus, S. M. Suldo, & B. Doll (Eds.), Fostering the emotional well-being of youth: a school-based approach. Oxford University Press. https://doi.org/10.1093/med-psych/9780190918873.001.00001

    Chapter  Google Scholar 

  • Suldo, S. M., & Huebner, E. S. (2004). The role of life satisfaction in the relationship between authoritative parenting dimensions and adolescent problem behavior. Social Indicators Research, 66(1/2), 165–195. https://doi.org/10.1023/B:SOCI.0000007498.62080.1e.

    Article  Google Scholar 

  • Suldo, S. M., Mariano, J. M., & Gilfix, H. (2021). Promoting students’ positive emotions, character, and purpose. In P. J. Lazarus, S. M. Suldo, & B. Doll (Eds.), Fostering the emotional well-being of youth: a school-based approach. Oxford University Press. https://doi.org/10.1093/med-psych/9780190918873.001.00001

    Chapter  Google Scholar 

  • Suldo, S. M., & Shaffer, E. J. (2008). Looking beyond psychopathology: the dual-factor model of mental health in youth. School Psychology Review, 37(1), 52–68.

    Article  Google Scholar 

  • Suldo, S. M., Shaffer, E. J., & Shaunessy, E. (2008). An independent investigation of the validity of the School Attitudes Assessment Survey—Revised. Journal of Psychoeducational Assessment, 26, 69–82.

    Article  Google Scholar 

  • Suldo, S. M., & Shaunessy-Dedrick, E. (2013a). The psychosocial functioning of high school students in academically rigorous programs. Psychology in the Schools, 50(8), 823–843. https://doi.org/10.1002/pits.21708

    Article  Google Scholar 

  • Suldo, S. M., & Shaunessy-Dedrick, E. (2013b). Changes in stress and psychological adjustment during the transition to high school among freshmen in an accelerated curriculum. Journal of Advanced Academics, 24(3), 195–218. https://doi.org/10.1177/1932202X13496090

    Article  Google Scholar 

  • Suldo, S. M., Shaunessy-Dedrick, E., Ferron, J., & Dedrick, R. (2018). Predictors of success among high school students in advanced placement and international baccalaureate programs. Gifted Child Quarterly, 62(4), 350–373. https://doi.org/10.1177/0016986218758443

    Article  Google Scholar 

  • Suldo, S., Thalji, A., & Ferron, J. (2011). Longitudinal academic outcomes predicted by early adolescents’ subjective well-being, psychopathology, and mental health status yielded from a dual factor model. The Journal of Positive Psychology, 6(1), 17–30. https://doi.org/10.1080/17439760.2010.536774

    Article  Google Scholar 

  • Suldo, S. M., Thalji-Raitano, A., Kiefer, S. M., & Ferron, J. M. (2016). Conceptualizing high school students’ mental health through a dual-factor model. School Psychology Review, 45(4), 434–457. https://doi.org/10.17105/SPR45-4.434-457

    Article  Google Scholar 

  • Voelkl, K. E. (1996). Measuring students’ identification with school. Educational and Psychological Measurement, 56(5), 760–770. https://doi.org/10.1177/0013164496056005003

    Article  Google Scholar 

  • Waters, L., Loton, D. J., Grace, D., Jacques-Hamilton, R., & Zyphur, M. J. (2019). Observing change over time in strength-based parenting and subjective wellbeing for pre-teens and teens. Frontiers in Psychology, 10, 1–21. https://doi.org/10.3389/fpsyg.2019.02273

    Article  Google Scholar 

  • Wigelsworth, M., Qualter, P., & Humphrey, N. (2017). Emotional self-efficacy, conduct problems, and academic attainment: Developmental cascade effects in early adolescence. European Journal of Developmental Psychology, 14(2), 172–189. https://doi.org/10.1080/17405629.2016.1180971

    Article  Google Scholar 

  • Xiong, J., Qin, Y., Gao, M., & Hai, M. (2017). Longitudinal study of a dual-factor model of mental health in Chinese youth. School Psychology International, 38(3), 287–303. https://doi.org/10.1177/0143034317689970

    Article  Google Scholar 

Download references

Funding

The data reported here were collected as part of a larger study supported by the Institute of Education Sciences, US Department of Education, through Grant R305A150543 to the University of South Florida. The opinions expressed are those of the authors and do not represent views of the Institute or the US Department of Education.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation and data collection were performed by Letty L. DiLeo, Shannon M. Suldo and Elizabeth Shaunessy-Dedrick. Data analysis was performed by LL. DiLeo and JM. Ferron. The first draft of the manuscript was written by LL. DiLeo, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Shannon M. Suldo.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to declare that are relevant to the content of this article.

Ethics Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee (University of South Florida, IRB Number: Pro00022787) and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

Consent to Participate

Written consent was obtained from the parents of all participants. Written assent was obtained from all participating youth (high school students).

Consent to Publish

Parents of all participants signed informed consent regarding publishing student data. Participating youth signed informed assent indicating their permission for publishing of findings from the study that included their data.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 29 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

DiLeo, L.L., Suldo, S.M., Ferron, J.M. et al. Three-Wave Longitudinal Study of a Dual-Factor Model: Mental Health Status and Academic Outcomes for High School Students in Academically Accelerated Curricula. School Mental Health 14, 514–530 (2022). https://doi.org/10.1007/s12310-021-09497-9

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12310-021-09497-9

Keywords

Navigation