Home › Research › Brain scans and imaging
Depression and Alzheimer's Disease Biomarkers Predict Driving Decline
Ganesh M Babulal, Suzie Chen, Monique M Williams, Jean-Francois Trani, Parul Bakhshi, Grace L Chao, Sarah H Stout, Anne M Fagan et al.. Journal of Alzheimer's disease : JAD, 2018
Topic: Brain imaging, connectivity and assessment
Data were available from 131 participants with age ranging from 65.4 to 88.2 years and mean follow up of 2.4 years (SD = 1.0). A depression diagnosis was associated with a faster time to receiving a marginal/fail rating on a road test and antidepressant use (p = 0.024, HR = 2.62). Depression diagnosis and CSF and amyloid PET imaging biomarkers were associated with driving performance on the road test (p≤0.05, HR = 2.51-3.15). In the CSF ptau181 model, depression diagnosis (p = 0.031, HR = 2.51) and antidepressant use (p = 0.037, HR = 2.50) were statistically significant predictors. There were no interaction effects between depression diagnosis, antidepressant use, and biomarker groups. Depressive symptomology was not a statistically significant predictor of driving performance. While, as previously shown, preclinical AD alone predicts a faster time to receiving a marginal/fail rating, these results suggest that also having a diagnosis of depression accelerates the onset of driving problems in cognitively normal older adults.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Babulal, G. M., Chen, S., Williams, M. M., Trani, J.-F., Bakhshi, P., Chao, G. L., et al. (2018). Depression and Alzheimer's Disease Biomarkers Predict Driving Decline. Journal of Alzheimer's disease : JAD. https://doi.org/10.3233/jad-180564
Vancouver
Babulal GM, Chen S, Williams MM, Trani J.-F, Bakhshi P, Chao GL, et al. Depression and Alzheimer's Disease Biomarkers Predict Driving Decline. Journal of Alzheimer's disease : JAD. 2018. doi:10.3233/jad-180564. PMID: 30400098.
BibTeX
@article{babulal2018-30400098,
author = {Babulal, Ganesh M and Chen, Suzie and Williams, Monique M and Trani, Jean-Francois and Bakhshi, Parul and Chao, Grace L and Stout, Sarah H and Fagan, Anne M and others},
title = {{Depression and Alzheimer's Disease Biomarkers Predict Driving Decline}},
journal = {Journal of Alzheimer's disease : JAD},
year = {2018},
doi = {10.3233/jad-180564},
pmid = {30400098},
url = {https://doi.org/10.3233/jad-180564}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
Key findings
- Data were available from 131 participants with age ranging from 65.4 to 88.2 years and mean follow up of 2.4 years (SD = 1.0).
- A depression diagnosis was associated with a faster time to receiving a marginal/fail rating on a road test and antidepressant use (p = 0.024, HR = 2.62).
- Depression diagnosis and CSF and amyloid PET imaging biomarkers were associated with driving performance on the road test (p≤0.05, HR = 2.51-3.15).
- In the CSF ptau181 model, depression diagnosis (p = 0.031, HR = 2.51) and antidepressant use (p = 0.037, HR = 2.50) were statistically significant predictors.
- There were no interaction effects between depression diagnosis, antidepressant use, and biomarker groups.
New to this subject? Start with our plain-English guide: Brain scans & tests →
Study details
- Participants131
- Effect sizeHR = 2.62; HR = 2.51-3.15; HR = 2.51
- Evidence strengthLow
How this study scored 54/100
Published in a peer-reviewed journal. Scored zero for study design and randomized / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multicenter collaboration and free to read, so those were left out: it earned 30 of the 56 points we could judge it on, which is 54 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of Alzheimer's disease : JAD) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| 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 | 2 / 5 | 2018 — within 10 year(s) of the newest study here |
| Sample size | 2 / 4 | 131 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) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multicenter collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 30400098) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 30 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 30 of the 56 points we could judge it on is 54 out of 100. |
| Total | 54 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Free copy unknown: no free-copy check has an answer for this record yet. That does not mean it is paywalled.
Related
Studies in the library that share something with this one. The line above each title says what.
Related studies in Brain scans and imaging
Also tagged “late-life-depression”
139 studies in the library carry the topic tag “late-life-depression”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 139 tagged studies.