| Title: | Association of active commuting with incidence of depression and anxiety: prospective cohort study |
| Journal: | Translational Psychiatry |
| Published: | 1 Feb 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39893172/ |
| DOI: | https://doi.org/10.1038/s41398-024-03219-w |
Publication 14451
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Abstract
Evidence is limited on the incidence of depression and anxiety in relation to active commuting. Our study aimed to explore their association and examine the mediating role of inflammatory. This study included 240,547 workers in the UK Biobank. The exposure variable was the mode of transport used to get to and from work including active (walking, cycling, mixed mode) and non-active commuting (car or public transport). The incidence of depression and anxiety was defined using ICD-10 codes. Cox proportional hazard regression models were used to explore the hazard ratios (HRs) of active commuting with depression and anxiety, and mediation analyses were used to test the mediating role of inflammatory in this association. There were 10,862 depression and 9407 anxiety events. Active commuting was associated with lower risk of depression [cycling: HR 0.775, 95% confidence interval (0.674-0.890); mixed mode walking: 0.858 (0.800-0.919); mixed mode cycling: 0.821 (0.744-0.907)] and anxiety [cycling: 0.781 (0.675-0.904); mixed mode walking: 0.867 (0.805-0.934); mixed mode cycling 0.810 (0.728-0.902)], and there were distinct dose-response trends between commuting distance and incidence of depression or anxiety. Inflammatory explained 19.75% of the association between cycling with depression, and 18.05% with anxiety. There were interactions between commuting and occupation type. Cycle and mix mode commuting were associated with lower risk of depression and anxiety, and inflammation partially mediated these association. Implementing initiatives that facilitate active commuting may help alleviate the poor mental health.</p>
15 Keywords
- Adult
- Aged
- Anxiety
- Bicycling
- Depression
- Female
- Humans
- Incidence
- Male
- Middle Aged
- Proportional Hazards Models
- Prospective Studies
- Transportation
- United Kingdom
- Walking
10 Authors
- Jingwen Fan
- Xuesong Zhang
- Xiaocan Jia
- Zhixing Fan
- Chaojun Yang
- Yuping Wang
- Chenyu Zhao
- Nana Wang
- Xuezhong Shi
- Yongli Yang
1 Application
| Application ID | Title |
|---|---|
| 170605 | Association analysis, causal inference, and modeling of genetic, environmental, lifestyle, and clinical determinants in the occurrence, progression, and prognosis of age-related diseases |
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