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Depression and telomere length: A meta-analysis.

Kathryn K Ridout1, Samuel J Ridout1, Lawrence H Price1

  • 1Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.

Journal of Affective Disorders
|December 22, 2015
PubMed
Summary

This meta-analysis found a significant negative association between depression and telomere length, indicating shorter telomeres in individuals with depression. Factors like depression severity and assessment methods influence this relationship.

Keywords:
DepressionMajor depressive disorderMeta-analysisTelomere

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Area of Science:

  • Psychiatry and Cellular Biology
  • Genetics and Aging Research

Background:

  • Inconsistent findings exist regarding the link between telomere length and depression.
  • This meta-analysis aimed to clarify the association and identify influencing factors.

Purpose of the Study:

  • To determine if telomere length is associated with clinically significant unipolar depression.
  • To explore factors that may moderate the relationship between telomere length and depression.

Main Methods:

  • Included 38 studies (N=34,347) measuring telomere length in depressed individuals.
  • Conducted a comprehensive literature search across multiple databases.
  • Utilized a continuous random effects model with standardized mean differences for analysis.

Main Results:

  • A significant negative association was found between depression and telomere length (Cohen's d = -0.205, p<0.0001).
  • Depression severity was significantly associated with telomere length (p=0.03).
  • Publication bias was present but did not negate the overall significance; subgroup analyses revealed significant moderators.

Conclusions:

  • A negative association exists between depression and telomere length.
  • Further research is needed to establish causality and understand the biological mechanisms linking depression, stress, and cellular aging.