Evidence map›Paper›PMID 34493211›Full record

ArticleBMC geriatrics2021

Physical frailty and cognitive impairment in older nursing home residents: a latent class analysis.

Yiyang Yuan, Kate L Lapane, Jennifer Tjia, Jonggyu Baek, Shao-Hsien Liu, Christine M Ulbricht

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Observational
  9. Article
  10. Article
  11. Physical fitness and incident mild cognitive impairment: a systematic review.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
    Review
  12. Article
  13. Article
  14. BMC digital health · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors at 2 institutions in 1 country.

Yiyang YuanClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA, USA. yiyang.yuan@umassmed.edu.
Kate L LapaneDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Jennifer TjiaDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Jonggyu BaekDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Shao-Hsien LiuDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Christine M UlbrichtNational Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
University of Massachusetts Chan Medical School · USNational Institute of Mental Health · US

Funding

Person-centered approaches for understanding suicidal ideation and behaviors among nursing home residentsR01MH117586 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LAPANE, KATE L · 2018 to 2021
$1.9M
Concurrent trajectories of physical frailty and cognitive impairment among nursing home residents and community-dwelling older adultsF99AG068591 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI YUAN, YIYANG · 2020 to 2021
$68k
NIA NIH HHS F99 AG068591NIMH NIH HHS R01 MH117586
6 · The paper itself

Abstract

backgroundLittle is known about the heterogeneous clinical profile of physical frailty and its association with cognitive impairment in older U.S. nursing home (NH) residents.

methodsMinimum Data Set 3.0 at admission was used to identify older adults newly-admitted to nursing homes with life expectancy ≥6 months and length of stay ≥100 days (n = 871,801). Latent class analysis was used to identify physical frailty subgroups, using FRAIL-NH items as indicators. The association between the identified physical frailty subgroups and cognitive impairment (measured by Brief Interview for Mental Status/Cognitive Performance Scale: none/mild; moderate; severe), adjusting for demographic and clinical characteristics, was estimated by multinomial logistic regression and presented in adjusted odds ratios (aOR) and 95% confidence intervals (CIs).

resultsIn older nursing home residents at admission, three physical frailty subgroups were identified: "mild physical frailty" (prevalence: 7.6%), "moderate physical frailty" (44.5%) and "severe physical frailty" (47.9%). Those in "moderate physical frailty" or "severe physical frailty" had high probabilities of needing assistance in transferring between locations and inability to walk in a room. Residents in "severe physical frailty" also had greater probability of bowel incontinence. Compared to those with none/mild cognitive impairment, older residents with moderate or severe impairment had slightly higher odds of belonging to "moderate physical frailty" [aOR (95%CI)

conclusionsFindings indicate the heterogeneous presentations of physical frailty in older nursing home residents and additional evidence on the interrelationship between physical frailty and cognitive impairment.

Indexed as

Cognitive DysfunctionFrailtyAgedHumansLatent Class AnalysisNursing HomesPhysical ExaminationCognitive impairmentLatent class analysisNursing homePhysical frailty

Identifiers

PMID34493211
PMCPMC8425049
OpenAlexW3198515938

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.