Purpose:
This study explored the risk factors, cut-off points, sensitivity, specificity, positive predictive values, and negative predictive values of physical performance testing among community-dwelling frail elderly people in Taiwan.
Organizing Construct:
The empirical measurement of frailty is based on the following five indicators: weight loss, weakness, exhaustion, slow responses, and minimal physical activity. The frail phenotype is considered present if three or more of the indicators are observed. Meanwhile, a short battery of physical performance tests was conducted to assess the balance, mobility, and flexibility among elderly people.
Methods:
A cross-sectional research design was executed. Participants were evaluated using a short battery of physical performance tests to assess their physical performance. Multivariate logistic regression and receiver operating characteristic (ROC) analyses were performed.
Findings:
The logistic regression results showed that the factors significantly correlated to frailty included falls in the previous year, smoking, hypertension, and bone and joint disease. Physical performance test scores were analyzed using the ROC curves to discriminate frailty statuses. The analysis results showed that the areas under the ROC curves for the diagnostic accuracy of right-hand grip, left-hand grip, and the 8-foot up-and-go test reached 0.70, and the optimal cut-off points determined using Youden's index were 17.25 kg, 20.75 kg, and 8.13 s, respectively.
Conclusions:
The research findings suggest that physical performance variables can be used to effectively screen elderly people at risk for frailty in the community.
Clinical Relevance:
The findings offer reference values for physical performance tests specific to community-dwelling frail elderly people. The information can enable health practitioners to achieve early identification of frailty among elderly people with anthropometric characteristics similar to those associated with people in Asian countries.
Citing Articles
Short Physical Performance Battery and Study of Osteoporotic Fractures Index in the Exploration of Frailty Among Older People in Cameroon.
Metanmo S, Simo-Tabue N, Kuate-Tegueu C, Bonnet M, Gbessemehlan A, Metanmo F
Int J Public Health. 2023; 68:1605900.
PMID: 37609077
PMC: 10441226.
DOI: 10.3389/ijph.2023.1605900.
Frailty assessment as part of transplant listing: yes, no or maybe?.
McAdams-DeMarco M, Thind A, Nixon A, Woywodt A
Clin Kidney J. 2023; 16(5):809-816.
PMID: 37151416
PMC: 10157764.
DOI: 10.1093/ckj/sfac277.
Addition of high-intensity interval training to a moderate intensity continuous training cardiovascular rehabilitation program after ischemic cerebrovascular disease: A randomized controlled trial.
Lapointe T, Houle J, Sia Y, Payette M, Trudeau F
Front Neurol. 2023; 13:963950.
PMID: 36686521
PMC: 9846748.
DOI: 10.3389/fneur.2022.963950.
Transplant centers that assess frailty as part of clinical practice have better outcomes.
Chen X, Liu Y, Thompson V, Chu N, King E, Walston J
BMC Geriatr. 2022; 22(1):82.
PMID: 35086480
PMC: 8793239.
DOI: 10.1186/s12877-022-02777-2.
Review of frailty measurement of older people: Evaluation of the conceptualization, included domains, psychometric properties, and applicability.
Huang E, Lam S
Aging Med (Milton). 2021; 4(4):272-291.
PMID: 34964008
PMC: 8711219.
DOI: 10.1002/agm2.12177.
Mapping instruments for assessing and stratifying frailty among community-dwelling older people: a scoping review.
Andrade L, New York B, Goncalves R, Fernandes S, Maciel A
BMJ Open. 2021; 11(12):e052301.
PMID: 34937719
PMC: 8704957.
DOI: 10.1136/bmjopen-2021-052301.
Role of Cachexia and Fragility in the Patient Candidate for Cardiac Surgery.
Pisano C, Polisano D, Balistreri C, Altieri C, Nardi P, Bertoldo F
Nutrients. 2021; 13(2).
PMID: 33562449
PMC: 7915488.
DOI: 10.3390/nu13020517.
Frailty and Physical Fitness in Elderly People: A Systematic Review and Meta-analysis.
Navarrete-Villanueva D, Gomez-Cabello A, Marin-Puyalto J, Moreno L, Vicente-Rodriguez G, Casajus J
Sports Med. 2020; 51(1):143-160.
PMID: 33201455
DOI: 10.1007/s40279-020-01361-1.
The Effects of a Multicomponent Lower Extremity Training Technique on Physical Function in Healthy Older Adults: A Randomized Controlled Trial.
Jung H, Miki Y, Tanaka R, Yamasaki M
Gerontol Geriatr Med. 2020; 6:2333721420935702.
PMID: 32637463
PMC: 7313343.
DOI: 10.1177/2333721420935702.
Some clarifications of terminology may facilitate sarcopenia assessment.
Lewandowicz A, Slawinski P, Kadalska E, Targowski T
Arch Med Sci. 2020; 16(1):225-232.
PMID: 32051727
PMC: 6963130.
DOI: 10.5114/aoms.2020.91293.
The Role of Physical Frailty Independent Components on Increased Disabilities in Institutionalized Older Women.
Furtado G, Letieri R, Caldo A, Patricio M, Loureiro M, Hogervorst E
Transl Med UniSa. 2019; 19:17-26.
PMID: 31360663
PMC: 6581498.
Frail Phenotype and Disability Prediction in Community-Dwelling Older People: A Systematic Review and Meta-Analysis of Prospective Cohort Studies.
Chang S, Cheng C, Lin H
J Nurs Res. 2019; 27(3):e28.
PMID: 30747818
PMC: 6553966.
DOI: 10.1097/jnr.0000000000000299.
Hypertension and frailty: a systematic review and meta-analysis.
Vetrano D, Palmer K, Galluzzo L, Giampaoli S, Marengoni A, Bernabei R
BMJ Open. 2018; 8(12):e024406.
PMID: 30593554
PMC: 6318510.
DOI: 10.1136/bmjopen-2018-024406.
Differences in handgrip strength protocols to identify sarcopenia and frailty - a systematic review.
Sousa-Santos A, Amaral T
BMC Geriatr. 2017; 17(1):238.
PMID: 29037155
PMC: 5644254.
DOI: 10.1186/s12877-017-0625-y.
Construct Validity of the Late-Life Function and Disability Instrument in African American Breast Cancer Survivors.
Pandya E, Mistry J, Dobhal M, Borra S, Paxton R
Healthcare (Basel). 2016; 4(4).
PMID: 27854321
PMC: 5198129.
DOI: 10.3390/healthcare4040087.
Psychometric properties of multicomponent tools designed to assess frailty in older adults: A systematic review.
Sutton J, Gould R, Daley S, Coulson M, Ward E, Butler A
BMC Geriatr. 2016; 16:55.
PMID: 26927924
PMC: 4772336.
DOI: 10.1186/s12877-016-0225-2.