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Inequalities in Mild Cognitive Impairment Risk Among Chinese Middle-Aged and Older Adults: Insights from an Integrated Learning Model
Shengxian Bi, Dandan Guo, Huawei Tan, Yingchun Chen, Gang Li. Risk Management and Healthcare Policy, 2025-06-01
Topic: Risk, prevention and care in population studies
The CNN-BiLSTM-Attention model demonstrated relatively promising predictive performance (AUC: 0.7317), with moderately high sensitivity (0.6902) and a high negative predictive value (NPV) of 0.9414. Education emerged as the most critical predictor, followed by Instrumental Activities of Daily Living (IADL) and gender. Mediation analysis revealed that education influenced MCI risk indirectly through health insurance, social interaction, physical activity, and depression. We present an interpretable, data-driven framework for predicting MCI risk while uncovering key inequality factors, particularly the pivotal role of education. The model's robust performance and interpretability highlight its potential to inform public health strategies and interventions aimed at addressing inequalities in dementia risk.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Bi, S., Guo, D., Tan, H., Chen, Y., & Li, G. (2025). Inequalities in Mild Cognitive Impairment Risk Among Chinese Middle-Aged and Older Adults: Insights from an Integrated Learning Model. Risk Management and Healthcare Policy. https://doi.org/10.2147/rmhp.s519049
Vancouver
Bi S, Guo D, Tan H, Chen Y, Li G. Inequalities in Mild Cognitive Impairment Risk Among Chinese Middle-Aged and Older Adults: Insights from an Integrated Learning Model. Risk Management and Healthcare Policy. 2025. doi:10.2147/rmhp.s519049. PMID: 40485918.
BibTeX
@article{bi2025-40485918,
author = {Bi, Shengxian and Guo, Dandan and Tan, Huawei and Chen, Yingchun and Li, Gang},
title = {{Inequalities in Mild Cognitive Impairment Risk Among Chinese Middle-Aged and Older Adults: Insights from an Integrated Learning Model}},
journal = {Risk Management and Healthcare Policy},
year = {2025},
doi = {10.2147/rmhp.s519049},
pmid = {40485918},
url = {https://doi.org/10.2147/rmhp.s519049}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- The CNN-BiLSTM-Attention model demonstrated relatively promising predictive performance (AUC: 0.7317), with moderately high sensitivity (0.6902) and a high negative predictive value (NPV) of 0.9414.
- Education emerged as the most critical predictor, followed by Instrumental Activities of Daily Living (IADL) and gender.
- Mediation analysis revealed that education influenced MCI risk indirectly through health insurance, social interaction, physical activity, and depression.
- We present an interpretable, data-driven framework for predicting MCI risk while uncovering key inequality factors, particularly the pivotal role of education.
- The model's robust performance and interpretability highlight its potential to inform public health strategies and interventions aimed at addressing inequalities in dementia risk.
Why it matters
This study developed a model to predict mild cognitive impairment risk and found education was the most critical predictor, acting indirectly through factors like health insurance and social interaction. It is about predicting risk and identifying inequalities, not about treating, curing, or preventing Alzheimer's disease.
Study details
- Participants4,626
- Effect sizeAUC: 0.7317
- Evidence strengthLow
How this study scored 44/100
Published in a peer-reviewed journal. Scored zero for study design and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 42 of the 96 points we could judge it on, which is 44 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Risk Management and Healthcare Policy) |
| Journal's citation record | 0 / 4 | Risk Management and Healthcare Policy: journal h-index 71 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 3 / 4 | 4,626 participants |
| Effect reported | 3 / 3 | Effect reported with a statistic (interval, p-value, ratio or similar) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 4 times (OpenAlex, 2026-10-10) |
| Citations per year | 1 / 5 | 1.3 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 2 / 6 | Cited 2.5× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 1 / 4 | Cited 4 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | 1 / 3 | Shanghai Jiao Tong University: institution h-index 975 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 3 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 40485918) |
| Free to read | 2 / 2 | Free to read |
| Points | 42 / 96 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 42 of the 96 points we could judge it on is 44 out of 100. |
| Total | 44 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.2147/rmhp.s519049
- PubMed: 40485918
- Original source →
- Free full text: Risk Management and Healthcare Policy →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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