Who Cares What Other People Think? A Longitudinal Investigation of the Role of Autonomy-Connectedness in Self-Esteem Change Trajectories and Instability

  • Laura E. Kunst*
  • , Marcel A. L. M. van Assen
  • , Felix J. Clouth
  • , Caroline Hunt
  • , Maree J. Abbott
  • , Joyce Maas
  • , Marrie H. J. Bekker
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

BackgroundWhile low self-esteem is an established risk factor for depressive and anxiety disorders, psychological underpinnings of unstable self-esteem remain understudied. We investigated the role of autonomy-connectedness, the psychological capacity for self-governance, in self-esteem and its change trajectories and instability.MethodsData spanning 12 years of the Longitudinal Internet studies for the Social Sciences [LISS] panel, a large, nationally representative population sample (N = 5367, ages 16-91), were used.ResultsMixed model analyses revealed that autonomy-connectedness was positively associated with self-esteem. Autonomy-connectedness component Sensitivity to others predicted less deterioration of self-esteem over time. Latent growth mixture modeling exploring individual differences revealed seven latent classes differing in slope and self-esteem instability over time. Individuals with healthy autonomy were more likely to belong to classes with above average self-esteem, but not necessarily more stable self-esteem trajectories. A subgroup (11%) displayed alarming autonomy deficits, which corresponded with low, stable self-esteem, as well as high levels of depressive and anxiety symptoms.ConclusionsAutonomous individuals have higher self-esteem and better mental health, but autonomy deficits were not necessarily associated with unstable self-esteem trajectories. Being sensitive to others buffers against declining self-esteem in older age. Results are discussed in light of depression and anxiety vulnerability.
Original languageEnglish
Pages (from-to)1246-1263
Number of pages18
JournalCognitive Therapy and Research
Volume49
Issue number6
Early online date28 Apr 2025
DOIs
Publication statusPublished - Dec 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

Funding

The LISS panel data were collected by CentERdata (Tilburg University, The Netherlands) through its MESS project funded by the Netherlands Organization for Scientific Research, for more information, see https://www.lissdata.nl/ . The present study was funded by the Tilburg University Alumni Fund.

Funders
Universiteit van Tilburg
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Anxiety
    • Autonomy-connectedness
    • Depression
    • Latent growth mixture modeling
    • Self-esteem

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