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September 29, 2025

Identifying mood disorder subgroups at early risk of metabolic dysfunction: a cross-sectional cohort study in young people at early intervention services.

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Authors

SMSarah McKennaQueen's University BelfastMSMirim ShinUniversity of Technology SydneySPShin ParkUniversity of Technology Sydney

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Overview

Cross-sectional cohort study compares metabolic profiles in young individuals with mood disorders, indicating specific subgroups may require targeted interventions.

Key Points

  • Young individuals in the circadian-bipolar spectrum exhibited higher fasting glucose levels and insulin resistance.
  • Analysis involved 751 participants aged 16-25, assessing BMI and metabolic factors across mood disorder subtypes.
  • Findings suggest circadian disturbances may heighten metabolic risks among those with mood disorders.
  • Implications for early assessments emphasize the need for tailored interventions based on specific mood disorder subgroups.

Cite This Study

McKenna et al. (2025) studied this question.

synapsesocial.com/papers/68da58d1c1728099cfd10bb5https://doi.org/10.1136/bmjopen-2024-097140
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Increased metabolic risk in young people with emerging mood disorders and circadian rhythm disruption.2024 · 3 citations
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  3. 3Identifying pathways to early‐onset metabolic dysfunction, insulin resistance and inflammation in young adult inpatients with emerging affective and major mood disorders2021 · 22 citations
  4. 4Uncovering relationships between 24-hour rest-activity patterns and immune-metabolic dysfunction in young people with mood disorders.2025
  5. 5Early risk factors for metabolic dysfunction in young people with major mood disorders: Longitudinal path analysis of a prospective birth cohort using structural equation modelling.2025