Development and validation of a predictive model for depression risk in the U.S. adult population
Evidence from the 2007–2014 NHANES
Bibliographic Data
| ID | 17819448 |
|---|---|
| Authors | Wei Tian (0000-0003-4125-4704, Harbin Medical University, corresponding author), Yafeng Zhang (0000-0002-0876-0499, First Affiliated Hospital of Zhengzhou University), Xinhao Han (Harbin Medical University), Yan Li (0000-0001-6650-7726, Harbin Medical University), Junping Liu (0000-0001-7442-2116, Harbin Medical University), Hongying Wang (0000-0002-8107-3492, Harbin Medical University), Qiuju Zhang (0000-0003-3407-2136, Harbin Medical University), Yujie Ma (0000-0001-6537-2604), Ma Yujie (Harbin Medical University), Guangcan Yan (0000-0002-9354-6461, Harbin Medical University) |
| Year | 2023 |
| Volume | 11 |
| Issue | 1 |
| Pages | 244-244 |
| Publication date | 2023-08-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Psychology (JOURNAL) |
| Journal identifiers | ISSN: 2050-7283 • E-ISSN: 2050-7283 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s40359-023-01278-0 |
| PMID | 37620859 |
| OpenAlex | W4386125565 |
| Language | EN |
| Citations received | 5 |
| References cited | 36 |
This study developed a depression risk assessment model that incorporates physical activity and blood lead factors. This model is a promising tool for screening, assessing, and treating depression in the general population. However, because the corrected c-indices of the predictive model have not yet reached an acceptable threshold of 0.70, caution should be exercised when drawing conclusions. Further research is required to improve the performance of this model
Population · Psychiatry · Sociology · Cardiac Health and Mental Health · Clinical Psychology · Demography · Health disparities and outcomes · Medicine · Mental Health Treatment and Access · Psychology · Gerontology
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| Unique citing works | 5 |
|---|---|
| Citations per year | 5 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |