| Title: | The relationship between leukocyte telomere length and risk of depression and anxiety: Evidence from UK Biobank |
| Journal: | Journal of Affective Disorders |
| Published: | 29 Sep 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39353511/ |
| DOI: | https://doi.org/10.1016/j.jad.2024.09.138 |
Publication 13572
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Abstract
BACKGROUND: Telomere length is a cellular aging marker implicated in various health outcomes. A growing body of evidence suggests a link between leukocyte telomere length (LTL) and mental health outcomes. However, there have been no studies focused on the relationship between LTL and the future risk of depression and anxiety. This study aimed to investigate the associations between LTL and depression/anxiety, examining both cross-sectional prevalence and prospective incidence.</p>
METHODS: Data from 364,331 UK Biobank participants were analyzed. LTL was measured at baseline, and mental health status was assessed through hospital records and online surveys. Logistic regression and Cox proportional hazards models were employed for cross-sectional and prospective analyses with appropriate adjustment, respectively.</p>
RESULTS: The mean (SD) age of the subjects was 57.03 (13.34) years and follow-up duration was 8.80 (5.39) years. Cross-sectionally, shorter LTL was associated with increased odds of depression (OR: 1.401, 95 % CI: 1.291-1.521) and anxiety (1.347 (1.198-1.515)) at baseline, which remained significant after adjustment. Among those free of depression/anxiety at baseline, baseline shorter LTL was associated with a higher risk of incident depression (HR: 1.615, 95 % CI: 1.447-1.803) and anxiety (1.430 (1.293-1.581)) during follow-up period. These associations remained robust after adjusting for various covariates.</p>
CONCLUSIONS: Our findings indicated an association between shorter telomeres and an increased risk of prevalent depression/anxiety and shorter telomeres precede the onset of these mental health conditions. Considering the potential clinical implications, our study underscores the relevance of LTL as a predictive tool for identifying individuals at risk of developing depression and anxiety.</p>
6 Authors
- Yuanyuan Wu
- Chuiguo Huang
- Baoqi Fan
- Hongjiang Wu
- Ying Mei
- Feifei Cheng
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