Evidence map›Paper›PMID 33565618›Full record

ArticleJournal of the American Geriatrics Society2021

Modified STEADI Fall Risk Categories Predict Incident Cognitive Impairment.

Rebecca S Crow, Christian Haudenschild, Matthew C Lohman, Robert M Roth, Meredith Roderka, Travis Masterson, John Brand, Tyler Gooding, Todd A Mackenzie, John A Batsis

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Rebecca S CrowVeterans Affairs Medical Center, White River Junction, White River Junction, Vermont, USA.
Christian HaudenschildGeisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
Matthew C LohmanDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina, USA.ORCID 0000-0002-2273-2160
Robert M RothGeisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
Meredith RoderkaDepartment of Medicine, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire, USA.
Travis MastersonDepartment of Nutritional Sciences, The Pennsylvania State University, State College, Pennsylvania, USA.
John BrandGeisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
Tyler GoodingDepartment of Medicine, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire, USA.
Todd A MackenzieGeisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
John A BatsisDivision of Geriatric Medicine, School of Medicine, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-0845-4416

Funding

SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
SCH: INT: Collaborative Research: Exploiting Voice Assistant Systems for Early Detection of Cognitive DeclineR01AG067416 · NIA · UNIVERSITY OF MASSACHUSETTS BOSTON · PI LIANG, XIAOHUI · 2019 to 2022
$1.2M
Mobile Health Obesity Wellness Intervention in Rural Older Adults_Res1K23AG051681 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BATSIS, JOHN A. · 2016 to 2022
$1.1M
Mechanisms of Increased Fall Risk among Older Adults with Depression: A Causal Mediation AnalysisR21AG064310 · NIA · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LOHMAN, MATTHEW CHRISTOPHER · 2019 to 2020
$289k
NCATS NIH HHS UL1 TR001086NCATS NIH HHS UL1TR001086NIA NIH HHS K23 AG051681NIA NIH HHS K23AG051681NIA NIH HHS R01 AG067416NIA NIH HHS R01-AG067416NIA NIH HHS R21 AG064310NIA NIH HHS R21AG064310
6 · The paper itself

Abstract

BACKGROUND/

objectivesIt is unknown whether older adults at high risk of falls but without cognitive impairment have higher rates of subsequent cognitive impairment.

designThis was an analysis of cross-sectional and longitudinal data from National Health and Aging Trends Study (NHATS).

settingNHATS, secondary analysis of data from 2011 to 2019.

participantsCommunity dwelling adults aged 65 and older without cognitive impairment. MEASUREMENTS: Participants were classified at baseline in three categories of fall risk (low, moderate, severe) using a modified algorithm from the Center for Disease Control's STEADI (Stop Elderly Accidents, Deaths, and Injuries) and fall risk from data from the longitudinal NHATS. Impaired global cognition was defined as NHATS-derived impairment in either the Alzheimer's Disease-8 score, immediate/delayed recall, orientation, clock-drawing test, or date/person recall. The primary outcome was the first incident of cognitive impairment in an 8 year follow-up period. Cox-proportional hazard models ascertained time to onset of cognitive impairment (referent = low modified STEADI incidence).

resultsOf the 7,146 participants (57.8% female), the median age category was 75 to 80 years. Prevalence of baseline fall modified STEADI risk categories in participants was low (51.6%), medium (38.5%), and high (9.9%). In our fully adjusted model, the risk of developing cognitive impairment was hazard ratio (HR) 1.18 [95% CI = 1.08, 1.29] in the moderate risk category, and HR 1.74 [95% CI = 1.53, 1.98] in the high-risk category.

conclusionOlder, cognitively intact adults at high fall risk at baseline had nearly twice the risk of cognitive decline at 8 year follow-up.

Indexed as

Accidental FallsAgedAged, 80 and overCognitive DysfunctionCross-Sectional StudiesFemaleGeriatric AssessmentHumansIncidenceIndependent LivingLongitudinal StudiesMaleNeuropsychological TestsPrevalenceProportional Hazards ModelsRisk Factorscognitive declinedementiafallfrequent falls

Identifiers

PMID33565618
PMCPMC8232824

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.