IDEAS home Printed from https://ideas.repec.org/a/plo/pmen00/0000596.html

Dynamic pathways of maternal well-being: A longitudinal latent class analysis of risk and adaptive trajectories in low-income families

Author

Listed:
  • Jesseca Perlman
  • Samantha Burns
  • Esther Yu
  • Jennifer Jenkins
  • Michal Perlman

Abstract

Maternal well-being is shaped by a dynamic interplay of structural, relational, and psychological factors, yet most research has examined risk processes across broad economic ranges rather than within families experiencing persistent disadvantage. Grounded in ecological systems, family stress, and resilience theories, this longitudinal study examined patterns of risk and resilience among 634 very low-income, racially diverse (25.6% White, 36.4% Black, 24.8% Asian, 11.4% Other) families, 43% of whom were single-parent households. Using latent class analysis, we identified four distinct maternal profiles based on mental health symptoms, parenting practices, parental conflict, and economic and demographic characteristics: (1) Cumulative Economic and Family Disadvantage (N = 137), (2) Relational Conflict with Relative Economic Stability (N = 163), (3) Adaptive Functioning Amid Family Disadvantage (N = 185), and (4) Stable Well-Being with Relative Economic Stability (N = 149). Analyses examining change in mental health from Time 1 to Time 2 revealed significant class-by-time interactions, indicating that maternal mental health trajectories varied across classes – some improving despite adversity, others declining despite initial advantage. Findings highlight the dynamic and heterogenous nature of maternal well-being and underscore the importance of contextual factors in shaping mental health trajectories among families experiencing economic disadvantage.

Suggested Citation

  • Jesseca Perlman & Samantha Burns & Esther Yu & Jennifer Jenkins & Michal Perlman, 2026. "Dynamic pathways of maternal well-being: A longitudinal latent class analysis of risk and adaptive trajectories in low-income families," PLOS Mental Health, Public Library of Science, vol. 3(10), pages 1-16, October.
  • Handle: RePEc:plo:pmen00:0000596
    DOI: 10.1371/journal.pmen.0000596
    as

    Download full text from publisher

    File URL: https://journals.plos.org/mentalhealth/article?id=10.1371/journal.pmen.0000596
    Download Restriction: no

    File URL: https://journals.plos.org/mentalhealth/article/file?id=10.1371/journal.pmen.0000596&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pmen.0000596?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
    ---><---

    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:plo:pmen00:0000596. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: mentalhealth (email available below). General contact details of provider: https://journals.plos.org/mentalhealth/ .

    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.