UMMS Affiliation

Clinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences; Department of Population and Quantitative Health Sciences

Publication Date

2021-09-07

Document Type

Article

Disciplines

Epidemiology | Geriatrics | Health Services Research | Psychiatry and Psychology

Abstract

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

METHODS: Minimum 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).

RESULTS: In 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)moderate cognitive impairment: 1.01 (0.99-1.03); aOR (95%CI)severe cognitive impairment: 1.03 (1.01-1.05)] and much higher odds to the "severe physical frailty" subgroup [aOR (95%CI)moderate cognitive impairment: 2.41 (2.35-2.47); aOR (95%CI)severe cognitive impairment: 5.74 (5.58-5.90)].

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

Keywords

Cognitive impairment, Latent class analysis, Nursing home, Physical frailty

Rights and Permissions

Copyright © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

DOI of Published Version

10.1186/s12877-021-02433-1

Source

Yuan Y, Lapane KL, Tjia J, Baek J, Liu SH, Ulbricht CM. Physical frailty and cognitive impairment in older nursing home residents: a latent class analysis. BMC Geriatr. 2021 Sep 7;21(1):487. doi: 10.1186/s12877-021-02433-1. PMID: 34493211; PMCID: PMC8425049. Link to article on publisher's site

Journal/Book/Conference Title

BMC geriatrics

PubMed ID

34493211

Related Resources

Link to Article in PubMed

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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