Evidence map›Paper›PMID 42037214›Full record

ArticleAutism : the international journal of research and practice2026

Falls and Fall-Related Injuries and Hospitalizations in Autistic Older Adults: A Medicare Data Study.

Lauren Bishop, Madison Blake, Melica Nikahd, J Madison Hyer, Brian W Patterson, Bethany J Wolf, Brittany N Hand

Abstract read
In one paragraph

Article in Autism : the international journal of research and practice, 2026. 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

7 authors.

Lauren BishopUniversity of Wisconsin-Madison, USA.ORCID 0000-0003-1269-4129
Madison BlakeThe Ohio State University, USA.ORCID 0009-0008-8874-9476
Melica NikahdThe Ohio State University, USA.ORCID 0009-0000-1848-2122
J Madison HyerThe Ohio State University, USA.ORCID 0000-0002-0825-3462
Brian W PattersonUniversity of Wisconsin-Madison School of Medicine and Public Health, USA.ORCID 0000-0002-4584-3808
Bethany J WolfMedical University of South Carolina, USA.ORCID 0000-0002-7124-5158
Brittany N HandThe Ohio State University, USA.ORCID 0000-0003-2026-8461

Funding

Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI DAVIDSON, RICHARD J · 2016 to 2020
$6.0M
Developing an autism-specific mortality risk index using data from Medicare-enrolled autistic older adultsR01AG082873 · NIA · OHIO STATE UNIVERSITY · PI Lauren Bishop, Brittany Nicole Hand · 2023 to 2026
$2.7M
NIA NIH HHS R01 AG082873NICHD NIH HHS U54 HD090256
6 · The paper itself

Abstract

Fall-related injuries are a major public health issue for older adults, contributing to mortality, morbidity, decreased functional ability, loss of independence, and increased healthcare costs. Autistic older adults may be at greater risk for falls due to motor coordination difficulties and antipsychotic medication use. This cohort study used multivariable logistic regression to compare the odds of falling and negative binomial regression to compare the rate of fall-related injuries. Data from Medicare Standard Analytical Files (2013-2021) for autistic and non-autistic older adults aged 65+ were analyzed. The sample included 13,732 autistic and 25,497 matched non-autistic older adults. Our dependent variables were (1) falls, (2) unique fall-related injuries, and (3) fall-related hospitalizations. Overall, 47.4% of autistic older adults had a fall compared to 31.5% of non-autistic older adults. Autistic older adults also had more fall-related injuries and hospitalizations. Accounting for duration of observation, autistic older adults had significantly higher odds of any fall (odds ratio = 1.99; 95% confidence interval = 1.89-2.08), rate of fall-related injuries (incidence rate ratio = 1.93; 95% confidence interval = 1.86-2.01), and rate of fall-related hospitalizations (incidence rate ratio = 1.43; 95% confidence interval = 1.35-1.51) than non-autistic older adults. These findings highlight the need for targeted fall prevention strategies for autistic older adults to reduce morbidity and mortality.Lay AbstractFalls are a big problem for older adults, often causing injuries and making it hard for them to live independently. Autistic older adults might be at higher risk of falling because of movement difficulties. However, no one has studied how often autistic older adults fall. Our study looked at the difference in fall rates, injuries, and hospitalizations between autistic and non-autistic older adults. We used Medicare data from 2013 to 2021 and included people aged 65 and older. We had 13,732 autistic older adults and 25,497 non-autistic older adults in our study. We matched them based on factors like sex, race, and health status to make sure the comparison was fair. We found that almost half (47.4%) of autistic older adults had a fall, compared to only 31.5% of non-autistic older adults. Autistic older adults also had more injuries and hospitalizations from falls. They had about double the likelihood of falling than non-autistic older adults. The rates of injuries and hospitalizations from falls were more about double for autistic older adults compared to non-autistic older adults. These results suggest that we need special programs to help prevent falls and support the health of autistic older adults.

Indexed as

Accidental FallsAutistic DisorderHospitalizationWounds and InjuriesAgedAged, 80 and overFemaleHumansMaleMedicareRisk FactorsUnited StatesagingautismfallsfrailtyMedicare

Identifiers

PMID42037214
PMCPMC13124077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.