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34/100

✓ Peer-reviewed alzhub usefulness score 34 out of 100. Risk factors

Topic: Risk, prevention and care in population studies

Results of our model on 43 counties showed that county-level rates of SCD were significantly associated with all auxiliary variables except annual income (F = 1.49, df = 4, 38). Direct survey-weighted rates were correlated with model-predicted rates in 43 counties (Pearson r = 0.32). Regarding predicted rates for the entire USA, the average county-level prevalence rate of veteran SCD in 2011 was 13.83% (SD = 7.35), but 29.13% in 2019 (SD = 14.71) - although variation in these rates were evident across counties. SCD has increased since 2011 among veterans. Veterans Affairs hospitals should implement plans that include cognitive assessments, referral to resources, and monitoring patient progress, especially in rural areas.

Key findings

Results of our model on 43 counties showed that county-level rates of SCD were significantly associated with all auxiliary variables except annual income (F = 1.49, df = 4, 38).
Direct survey-weighted rates were correlated with model-predicted rates in 43 counties (Pearson r = 0.32).
Regarding predicted rates for the entire USA, the average county-level prevalence rate of veteran SCD in 2011 was 13.83% (SD = 7.35), but 29.13% in 2019 (SD = 14.71) - although variation in these rates were evident across counties.
SCD has increased since 2011 among veterans.
Veterans Affairs hospitals should implement plans that include cognitive assessments, referral to resources, and monitoring patient progress, especially in rural areas.

Why it matters

This modeling study estimated that subjective cognitive decline among US veterans rose from 13.83% in 2011 to 29.13% in 2019, with variation across counties. The authors suggest VA hospitals plan for cognitive assessments and referrals, especially in rural areas.

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Study details

Study designcross-sectional
Effect size13.83%; 29.13%
Evidence strengthLow

How this study scored 34/100

Published in a peer-reviewed journal, and it is a snapshot of people at one point in time. Scored zero for sample size, studied in people 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 33 of the 96 points we could judge it on, which is 34 out of 100.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (The Journal of Prevention of Alzheimer s Disease)
Journal's citation record	0 / 4	The Journal of Prevention of Alzheimer s Disease: journal h-index 63 (OpenAlex, 2026-10-29)
Study design	4 / 12	A snapshot of people at one point in time
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	3 / 5	2021 — within 6 year(s) of the newest study here
Sample size	0 / 4	Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported	2 / 3	Effect reported as a number, without an interval or test
Studied in people	0 / 3	Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded	0 / 2	No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited	1 / 7	Cited 3 times (OpenAlex, 2026-10-10)
Citations per year	0 / 5	0.4 citations a year over 7 year(s) since 2021
Impact for its field and year	1 / 6	Cited 0.3× 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	0 / 4	Cited 2 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	— / 4	OpenAlex's profile for last-listed author Trina L. Schneider holds only 8 work(s), too few to judge a track record — left out of this score
Institution's track record	0 / 3	Southern Illinois University Carbondale: institution h-index 396 (OpenAlex)
Multi-centre collaboration	0 / 3	OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete)
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 34585220)
Free to read	2 / 2	Free to read
Points	33 / 96	Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 33 of the 96 points we could judge it on is 34 out of 100.
Total	34 / 100	—

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Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

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.

APA 7th

McDaniel, J. T., McDermott, R. J., & Schneider, T. L. (2021). A Fay-Herriot Model for Estimating Subjective Cognitive Decline among Military Veterans. The Journal of Prevention of Alzheimer s Disease. https://doi.org/10.14283/jpad.2021.28

Vancouver

McDaniel JT, McDermott RJ, Schneider TL. A Fay-Herriot Model for Estimating Subjective Cognitive Decline among Military Veterans. The Journal of Prevention of Alzheimer s Disease. 2021. doi:10.14283/jpad.2021.28. PMID: 34585220.

BibTeX

@article{mcdaniel2021-34585220,
  author  = {McDaniel, Justin Tyler and McDermott, Robert J. and Schneider, Trina L.},
  title   = {{A Fay-Herriot Model for Estimating Subjective Cognitive Decline among Military Veterans}},
  journal = {The Journal of Prevention of Alzheimer s Disease},
  year    = {2021},
  doi     = {10.14283/jpad.2021.28},
  pmid    = {34585220},
  url     = {https://doi.org/10.14283/jpad.2021.28}
}

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