IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03136-9.html
   My bibliography  Save this article

Longitudinal trajectories of self-esteem, related predictors, and impact on depression among students over a four-year period at college in China

Author

Listed:
  • Xinqiao Liu

    (Tianjin University)

  • Yilin Yuan

    (Tianjin University)

  • Wenjuan Gao

    (Beihang University)

  • Yunfeng Luo

    (University of Electronic Science and Technology of China)

Abstract

Self-esteem plays a crucial role in the psychological development of college students. Based on four-wave longitudinal data, this study empirically investigated the longitudinal trajectories of self-esteem, related predictors, and the impact on depression in a sample of Chinese college students. Piecewise growth mixture modeling was utilized to identify potential self-esteem trajectories. Furthermore, multinomial logistic regression models were employed along with the Kruskal‒Wallis test to analyze the factors that influence self-esteem development trajectories and assess variations in depression. The results showed that college students’ self-esteem trajectories can be divided into three categories: slowly decreasing (81.04%), rising then falling (16.94%), and falling then rising (2.02%). Various personal factors (e.g. ethnicity, family residence, self-reported health status, extroversion) and socioeconomic factors (e.g. closeness with classmates, family economic level, family social status, and the mother’s educational level) can influence the classification of students’ self-esteem development trajectories. Moreover, notable differences in depression were observed among students in different self-esteem trajectory groups. The results emphasize the imperative of implementing interventions to enhance self-esteem among college students.

Suggested Citation

  • Xinqiao Liu & Yilin Yuan & Wenjuan Gao & Yunfeng Luo, 2024. "Longitudinal trajectories of self-esteem, related predictors, and impact on depression among students over a four-year period at college in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-8, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03136-9
    DOI: 10.1057/s41599-024-03136-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03136-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-03136-9?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. Gilles Celeux & Gilda Soromenho, 1996. "An entropy criterion for assessing the number of clusters in a mixture model," Journal of Classification, Springer;The Classification Society, vol. 13(2), pages 195-212, September.
    2. Xinqiao Liu & Yan Li & Xiaojie Cao, 2024. "Bidirectional reduction effects of perceived stress and general self-efficacy among college students: a cross-lagged study," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-8, December.
    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. Julian Aichholzer & Sylvia Kritzinger & Carolina Plescia, 2021. "National identity profiles and support for the European Union," European Union Politics, , vol. 22(2), pages 293-315, June.
    2. Adrian Bruhin & Ernst Fehr & Daniel Schunk, 2019. "The many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences," Journal of the European Economic Association, European Economic Association, vol. 17(4), pages 1025-1069.
    3. Nicoleta Serban & Huijing Jiang, 2012. "Multilevel Functional Clustering Analysis," Biometrics, The International Biometric Society, vol. 68(3), pages 805-814, September.
    4. Jacky C. K. Ng & Joanne Y. H. Chong & Hilary K. Y. Ng, 2023. "The way I see the world, the way I envy others: a person-centered investigation of worldviews and the malicious and benign forms of envy among adolescents and adults," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    5. Gillian C. Williams & Karen A. Patte & Mark A. Ferro & Scott T. Leatherdale, 2021. "Associations between Longitudinal Patterns of Substance Use and Anxiety and Depression Symptoms among a Sample of Canadian Secondary School Students," IJERPH, MDPI, vol. 18(19), pages 1-14, October.
    6. Mélissa Lemoine & Gerhard Gmel & Simon Foster & Simon Marmet & Joseph Studer, 2020. "Multiple trajectories of alcohol use and the development of alcohol use disorder: Do Swiss men mature-out of problematic alcohol use during emerging adulthood?," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-17, January.
    7. Sarstedt, Marko & Salcher, André, 2007. "Modellselektion in Finite Mixture PLS-Modellen," Discussion Papers in Business Administration 1394, University of Munich, Munich School of Management.
    8. Lebret, Rémi & Iovleff, Serge & Langrognet, Florent & Biernacki, Christophe & Celeux, Gilles & Govaert, Gérard, 2015. "Rmixmod: The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i06).
    9. Andrew Clark & Fabien Postel-Vinay, 2009. "Job security and job protection," Oxford Economic Papers, Oxford University Press, vol. 61(2), pages 207-239, April.
    10. Ellen Bouchery & Monica Farid, "undated". "Variation in Staff Salary Costs Associated with Characteristics of Substance Use Disorder Treatment Facilities," Mathematica Policy Research Reports 65b1484724354c0ca8270d1c6, Mathematica Policy Research.
    11. Wijesundera, Isuri & Halgamuge, Malka N. & Nirmalathas, Ampalavanapillai & Nanayakkara, Thrishantha, 2016. "MFPT calculation for random walks in inhomogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 986-1002.
    12. Wang, Kun & Marbut, Alexander R. & Suntai, Zainab & Zheng, Dianhan & Chen, Xiayu, 2022. "Patterns in older adults' perceived chronic stressor types and cognitive functioning trajectories: Are perceived chronic stressors always bad?," Social Science & Medicine, Elsevier, vol. 311(C).
    13. Tolu O Oyesanya & Roger L Brown & Lyn S Turkstra, 2017. "Caring for Patients with traumatic brain injury: a survey of nurses' perceptions," Journal of Clinical Nursing, John Wiley & Sons, vol. 26(11-12), pages 1562-1574, June.
    14. Omar N. Solinger & Woody van Olffen & Robert A. Roe & Joeri Hofmans, 2013. "On Becoming (Un)Committed: A Taxonomy and Test of Newcomer Onboarding Scenarios," Organization Science, INFORMS, vol. 24(6), pages 1640-1661, December.
    15. Anne Mäkikangas & Wilmar Schaufeli & Esko Leskinen & Ulla Kinnunen & Katriina Hyvönen & Taru Feldt, 2016. "Long-Term Development of Employee Well-Being: A Latent Transition Approach," Journal of Happiness Studies, Springer, vol. 17(6), pages 2325-2345, December.
    16. Mengya Xia & Caitlin M. Hudac, 2023. "Social Connection Constellations and Individual Well-Being Typologies: Using the Loglinear Modeling Approach with Latent Variables," Journal of Happiness Studies, Springer, vol. 24(6), pages 1991-2012, August.
    17. Laura Dal Corso & Alessandro De Carlo & Francesca Carluccio & Daiana Colledani & Alessandra Falco, 2020. "Employee burnout and positive dimensions of well-being: A latent workplace spirituality profile analysis," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-17, November.
    18. Meng Li & Sijia Xiang & Weixin Yao, 2016. "Robust estimation of the number of components for mixtures of linear regression models," Computational Statistics, Springer, vol. 31(4), pages 1539-1555, December.
    19. Thomas Bassetti & Raul Caruso & Darwin Cortes, 2015. "Behavioral differences in violence: The case of intra-group differences of Paramilitaries and Guerrillas in Colombia," DISCE - Quaderni del Dipartimento di Politica Economica ispe0073, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    20. Alyssa Lozano & Tae Kyoung Lee & Elliott R. Weinstein & Yannine Estrada & Beck Graefe & Maria I. Tapia & Guillermo Prado, 2023. "Trajectories of Drug Use and Depressive Symptoms among Latinx Youth and Sexual Minority Youth," IJERPH, MDPI, vol. 20(10), pages 1-13, May.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03136-9. 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: https://www.nature.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.