Interpretable machine learning for classification and risk factor identification of anxiety, depression, and insomnia symptoms after the full opening of China’s COVID-19 lockdown
The explainable ML model found that healthy habits and positive social ties were linked to lower anxiety, depression, and insomnia symptoms. In contrast, past mental health issues and stressors were tied to higher levels. Public health efforts should focus on encouraging these modifiable habits and strengthening community support, to help improve residents' mental health, especially in the aftermath of a pandemic.
Authors
- Yuxia Ma (ORCID: https://orcid.org/0000-0002-9084-8691)
- Zhihao Li (ORCID: https://orcid.org/0000-0002-1597-2676)
- Zidan Wang (ORCID: https://orcid.org/0000-0002-4028-2271)
- Hao Wu (ORCID: https://orcid.org/0000-0003-2746-5337)
- Guanli Su (ORCID: https://orcid.org/0000-0002-6372-4642)
- Yujing Zhang (ORCID: https://orcid.org/0009-0003-1054-9857)
- Anqi Zhang (ORCID: https://orcid.org/0000-0001-5128-2464)
- Yujie Wang (ORCID: https://orcid.org/0000-0002-3729-2743)
- Jinfeng Li (ORCID: https://orcid.org/0000-0002-4312-5917)
- Pengpeng Liu (ORCID: https://orcid.org/0000-0001-6515-4682)
- Jun Ge (ORCID: https://orcid.org/0000-0003-3391-790X)
- Meng-Yang Liu (ORCID: https://orcid.org/0009-0008-3566-7784)
Institutions
- Hebei Medical University (CN)
- Wuqing District People's Hospital (CN)
- Urumqi 4th People's Hospital (CN)
- Fourth Hospital of Hebei Medical University (CN)
- First Hospital of Shijiazhuang (CN)
- First Affiliated Hospital of Hebei Medical University (CN)
Publication Details
- Journal
- BMC Psychiatry
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1186/s12888-025-07569-7
- Citations
- 1
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 2.44