Health factors associated with cognitive frailty in older adults living in the community

被引:9
|
作者
Corral-Perez, Juan [1 ]
Casals, Cristina [1 ]
Avila-Cabeza-de-Vaca, Laura [1 ]
Gonzalez-Mariscal, Andrea [1 ]
Martinez-Zaragoza, Ildefonsa [2 ]
Villa-Estrada, Francisca [3 ]
Reina-Campos, Remedios [4 ]
Vazquez-Sanchez, Maria A. [5 ,6 ]
机构
[1] Univ Cadiz, Inst Invest & Innovac Biomed Cadiz INiBICA, Dept Phys Educ, ExPhy Res Grp, Cadiz, Spain
[2] Malaga Guadalhorce Hlth Dist, Puerta Blanca Hlth Ctr, Malaga, Spain
[3] Malaga Guadalhorce Hlth Dist, Trinidad Jesus Cautivo Hlth Ctr, Malaga, Spain
[4] Malaga Guadalhorce Hlth Dist, Huelin Hlth Ctr, Malaga, Spain
[5] Univ Malaga, Fac Hlth Sci, Dept Nursing, Malaga, Spain
[6] Univ Malaga, UMA REDIAS Network Law & Artificial Intelligence A, PASOS Res Grp, Malaga, Spain
来源
FRONTIERS IN AGING NEUROSCIENCE | 2023年 / 15卷
关键词
physical activity; physical function; accelerometer; quality of life; malnutrition risk; cognitive impairment; aging; frail adults; MENTAL STATUS QUESTIONNAIRE; IMPAIRMENT; PREVALENCE; VALIDATION; RISK;
D O I
10.3389/fnagi.2023.1232460
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Introduction: This study aims to investigate the health factors associated with cognitive frailty in frail and pre-frail older adults living in the community. Methods: A total of 233 older adults meeting Fried's criteria for pre-frailty or frailty were included. Cognitive status was evaluated using the Short Portable Mental Status Questionnaire. Health factors encompassed nutritional status (evaluated using the Mini Nutritional Assessment tool, body mass index, and waist, arm, and leg circumferences), physical function (assessed with the Short Physical Performance Battery), quality of life (measured with the total index of the EuroQoL 5-Dimension 5-Level questionnaire - EQoL-Index -, and the Visual-Analogue Scale - QoL-VAS - for today's health state), as well as sleep, physical activity, and inactivity estimated through wrist-worn accelerometers. Multivariable logistic regression analyses were conducted to identify potential predictors of cognitive frailty, considering age as a confounding factor. Results: Cognitive frail participants exhibited advanced age, heightened self-reported exhaustion, diminished overall physical performance, reduced leg perimeter, decreased engagement in moderate-to-vigorous physical activity, and higher levels of inactivity (all p<0.05). However, after adjusting for age, only QoL-VAS emerged as a cognitive frailty risk factor (Odds ratio: 1.024), while the EQoL-Index, calf perimeter, and levels of moderate-to-vigorous physical activity were identified as protective factors (Odds ratios: 0.025, 0.929, and 0.973, respectively). Discussion: This study highlights the complex relationship between non-modifiable factors such as age, and modifiable factors including quality of life, nutritional status, and physical activity in the development of cognitive frailty among older adults with a frailty phenotype living in the community.
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页数:12
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