U.S. National Profile of Older Adults with Cognitive Impairment Alone, Physical Frailty Alone, and Both.


Journal

Journal of the American Geriatrics Society
ISSN: 1532-5415
Titre abrégé: J Am Geriatr Soc
Pays: United States
ID NLM: 7503062

Informations de publication

Date de publication:
12 2020
Historique:
received: 24 01 2020
revised: 13 07 2020
accepted: 17 07 2020
pubmed: 30 8 2020
medline: 19 3 2021
entrez: 30 8 2020
Statut: ppublish

Résumé

To obtain national and regional estimates of prevalence of frailty with or without cognitive impairment, and cognitive impairment with or without frailty among older adults in the United States, and to identify profiles of characteristics that distinguish their joint versus separate occurrence. Cross-sectional. Community or non-nursing home residential care settings. A U.S. nationally representative sample of 7,497 older adults aged 65 and older from the National Health and Aging Trends Study. Frailty was measured by the physical frailty phenotype. Cognitive impairment was assessed by cognitive performance testing of executive function and memory or by proxy reports. Multinomial logistic regression was used to identify profiles of demographic, socioeconomic, health, behavioral, and psychosocial characteristics that distinguish four subgroups: not-frail and cognitively intact ("neither"), not-frail and cognitively impaired ("Cog. only"), frail and cognitively intact ("frailty only"), and frail and cognitively impaired ("both"). The prevalence of "Cog. only," "frailty only," and "both" was 25.5%, 5.6%, and 8.7%, respectively. Individuals with"frailty only" had the highest prevalence of obesity, current smoking, comorbidity, lung disease, and history of surgery. The "both" group had the highest prevalence of dementia, depression, cardiovascular diseases, and disability. No significant differences were found between the "Cog. only" group and the "neither" group with respect to history of surgery and comorbidity burden. The prevalence of dementia in the "Cog. only" was less than half of that in the "both" group. The finding of sizable subgroups having physical frailty but not cognitive impairment, and vice versa, suggests that the two cannot be considered necessarily as antecedent or sequela of one another. The study provided empirical data supporting the prioritization of comorbidity, obesity, surgery history, and smoking status in clinical screening of frailty and cognitive impairment before formal diagnostic assessments.

Sections du résumé

BACKGROUND/OBJECTIVES
To obtain national and regional estimates of prevalence of frailty with or without cognitive impairment, and cognitive impairment with or without frailty among older adults in the United States, and to identify profiles of characteristics that distinguish their joint versus separate occurrence.
DESIGN
Cross-sectional.
SETTING
Community or non-nursing home residential care settings.
PARTICIPANTS
A U.S. nationally representative sample of 7,497 older adults aged 65 and older from the National Health and Aging Trends Study.
MEASUREMENTS
Frailty was measured by the physical frailty phenotype. Cognitive impairment was assessed by cognitive performance testing of executive function and memory or by proxy reports. Multinomial logistic regression was used to identify profiles of demographic, socioeconomic, health, behavioral, and psychosocial characteristics that distinguish four subgroups: not-frail and cognitively intact ("neither"), not-frail and cognitively impaired ("Cog. only"), frail and cognitively intact ("frailty only"), and frail and cognitively impaired ("both").
RESULTS
The prevalence of "Cog. only," "frailty only," and "both" was 25.5%, 5.6%, and 8.7%, respectively. Individuals with"frailty only" had the highest prevalence of obesity, current smoking, comorbidity, lung disease, and history of surgery. The "both" group had the highest prevalence of dementia, depression, cardiovascular diseases, and disability. No significant differences were found between the "Cog. only" group and the "neither" group with respect to history of surgery and comorbidity burden. The prevalence of dementia in the "Cog. only" was less than half of that in the "both" group.
CONCLUSION
The finding of sizable subgroups having physical frailty but not cognitive impairment, and vice versa, suggests that the two cannot be considered necessarily as antecedent or sequela of one another. The study provided empirical data supporting the prioritization of comorbidity, obesity, surgery history, and smoking status in clinical screening of frailty and cognitive impairment before formal diagnostic assessments.

Identifiants

pubmed: 32860219
doi: 10.1111/jgs.16769
pmc: PMC7774869
mid: NIHMS1655537
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2822-2830

Subventions

Organisme : NIA NIH HHS
ID : P30 AG066507
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG032947
Pays : United States
Organisme : NIA NIH HHS
ID : K01 AG064040
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG021334
Pays : United States
Organisme : NIA NIH HHS
ID : R03 AG053743
Pays : United States

Informations de copyright

© 2020 The American Geriatrics Society.

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Auteurs

Mei-Ling Ge (ML)

The Center of Gerontology and Geriatrics (National Clinical Research Center for Geriatrics), West China Hospital, Sichuan University, Chengdu, China.

Michelle C Carlson (MC)

Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.

Karen Bandeen-Roche (K)

Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Nadia M Chu (NM)

Department of Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Jing Tian (J)

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Judith D Kasper (JD)

Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Qian-Li Xue (QL)

Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Department of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

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