Care dependency in older stroke patients with comorbidities: a latent profile analysis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AGJJU2S5W" target="_blank" >RIV/00216208:11320/25:GJJU2S5W - isvavai.cz</a>
Výsledek na webu
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195575735&doi=10.3389%2ffnagi.2024.1366380&partnerID=40&md5=9d3b31d84a1b28a0258058b60765a280" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195575735&doi=10.3389%2ffnagi.2024.1366380&partnerID=40&md5=9d3b31d84a1b28a0258058b60765a280</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fnagi.2024.1366380" target="_blank" >10.3389/fnagi.2024.1366380</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Care dependency in older stroke patients with comorbidities: a latent profile analysis
Popis výsledku v původním jazyce
Objectives: To explore latent profiles of care dependency in older stroke patients with comorbidities and to analyze the factors influencing different latent profiles. Methods: A total of 312 older ischemic stroke patients with comorbidities were included in the analysis. Latent Profile Analysis (LPA) was used to classify the participants into potential subgroups with different types of care dependency. The influencing factors of the classification of care dependency subgroups were determined using multivariate Logistic regression analysis. Results: The care dependency score of older ischemic stroke patients with comorbidities was (51.35 ± 13.19), and the patients could be classified into 3 profiles, namely Universal dependency (24.0%), Moderate activity-social-learning dependency (28.0%), and Mild activity-social-learning dependency (48.0%); caregiver, BI at admission, and functional impairments were independent factors influencing care dependency (P < 0.05). Conclusion: There are three latent profiles of care dependency in older ischemic stroke patients with comorbidities. According to the characteristics of various populations, medical staff are able to implement specific interventions to lower the level of dependency and further improve the quality of life of patients.
Název v anglickém jazyce
Care dependency in older stroke patients with comorbidities: a latent profile analysis
Popis výsledku anglicky
Objectives: To explore latent profiles of care dependency in older stroke patients with comorbidities and to analyze the factors influencing different latent profiles. Methods: A total of 312 older ischemic stroke patients with comorbidities were included in the analysis. Latent Profile Analysis (LPA) was used to classify the participants into potential subgroups with different types of care dependency. The influencing factors of the classification of care dependency subgroups were determined using multivariate Logistic regression analysis. Results: The care dependency score of older ischemic stroke patients with comorbidities was (51.35 ± 13.19), and the patients could be classified into 3 profiles, namely Universal dependency (24.0%), Moderate activity-social-learning dependency (28.0%), and Mild activity-social-learning dependency (48.0%); caregiver, BI at admission, and functional impairments were independent factors influencing care dependency (P < 0.05). Conclusion: There are three latent profiles of care dependency in older ischemic stroke patients with comorbidities. According to the characteristics of various populations, medical staff are able to implement specific interventions to lower the level of dependency and further improve the quality of life of patients.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
—
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Frontiers in Aging Neuroscience
ISSN
1663-4365
e-ISSN
—
Svazek periodika
16
Číslo periodika v rámci svazku
2024
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
18
Strana od-do
1-18
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85195575735