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Stability and Change in Latent Movement Behaviour Profiles During Adolescence and links with Future Depressive Symptoms

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Abstract

Movement behaviours are known to influence long-term health and wellbeing. During adolescence, daily movement diminishes while depressive symptoms increase. The principle of time displacement dictates that when awake, altering time spent in one movement state (i.e., Sedentary, Light Physical Activity or Moderate-to-Vigorous Physical Activity) necessarily alters time spent in others, yet few studies examine daily movement behaviour using composite behavioural profiles. The current study used Random Intercepts Latent Transition Analysis (RI-LTA) to: identify latent profiles of movement behaviour age 12, 14 and 16; examine transition probabilities and predictors; and assess whether transition patterns contributed to depressive symptoms age 18 and 22. Data were drawn from 4,964 participants in the Avon Longitudinal Study of Parents and their Children. Movement behaviours were assessed via Actigraph (AM7164-2.2) accelerometery; depressive symptoms via the Short Mood and Feelings Questionnaire. A 3 × 3 non-invariant RI-LTA model fit the data well (BIC = 410417; Entropy = 0.902) distinguishing Maximal-, Moderate-, and Minimal-Movers. Once accounting for non-invariance (i.e., that all profiles moved less over time), the Moderate-Mover profile presented as highly stable across adolescence. Females, and those with higher BMI and more educated parents were likely to transition to profiles characterised by lesser movement. Transition patterns containing a period of minimal movement predicted worse depressive symptoms at ages 18 and 22. Notably, maximal movement age 12 conferred protection against depressive symptoms age 22, even when followed by later declines. Findings highlight the value of maximising movement early, underscoring the importance of early intervention strategies to promote movement and reduce young peoples’ depressive symptoms long-term.

Original languageEnglish
Article number21716
JournalScientific Reports
Volume15
Issue number1
Early online date1 Jul 2025
DOIs
Publication statusPublished online - 1 Jul 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

Funding

We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists, and nurses. The UK Medical Research Council and Wellcome (Grant ref: 217065/Z/19/Z) and the University of Bristol provide core support for ALSPAC. A comprehensive list of grants funding is available on the ALSPAC website (http://www.bristol.ac.uk/alspac/external/documents/grant-acknowledgements.pdf); Sources of funding relevant to the data used herein: NIH (grant ref: PD301198SC101645); Wellcome Trust and MRC: (grant ref: 092731). This publication is the work of the authors who will serve as guarantors for the contents of this paper. Authors received no funding to support this secondary research.

FundersFunder number
Wellcome Trust
University of Bristol
217065/Z/19/Z
NIHPD301198SC101645
Medical Research Council092731

    Keywords

    • ALSPAC
    • Adolescence
    • Depressive symptoms
    • Latent Transition Analysis
    • Light Physical Activity
    • Mixture Modelling
    • MVPA
    • Sedentary behaviour
    • Mixture modelling
    • Latent transition analysis
    • Light physical activity
    • Movement
    • Humans
    • Depression/physiopathology
    • Exercise/physiology
    • Male
    • Young Adult
    • Adolescent
    • Adult
    • Female
    • Surveys and Questionnaires
    • Adolescent Behavior
    • Child
    • Longitudinal Studies
    • Depression - physiopathology - epidemiology - psychology
    • Exercise - physiology

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