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

doi:10.1186/s12877-021-02433-1

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.

Authors

Yiyang Yuan^{1

2}, Kate L Lapane³, Jennifer Tjia³, Jonggyu Baek³, Shao-Hsien Liu³, Christine M Ulbricht⁴

Affiliations

¹ Clinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA, USA. yiyang.yuan@umassmed.edu.
² Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA. yiyang.yuan@umassmed.edu.
³ Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
⁴ National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.

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.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Aged
Cognitive Dysfunction* / diagnosis
Cognitive Dysfunction* / epidemiology
Frailty* / diagnosis
Frailty* / epidemiology
Humans
Latent Class Analysis
Nursing Homes
Physical Examination

Abstract

Publication types

MeSH terms

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