Objectives: To analyze prefrailty's relationship with limitations in activities of daily living (ADLs) and restrictions in social participation.
Method: Robust (Fried 0/4; = 214; = 82.3 years [ ±2.1]) and prefrail (Fried 1-2/4; = 191; = 83.8 years [ ±3.2]) community-dwelling older individuals were included. Frailty scores were obtained from weight loss, exhaustion, gait speed, and grip strength. A total disability index (DI) expressed dependency for basic (b-), instrumental (i-), and advanced (a-)ADLs. Total participation score, being a member, total number of memberships, being a board member, level of participation, membership over time, volunteering, and formal participation represented social participation.
Results: Logistic regression retained age (OR = 1.224; 95% CI = [1.122, 1.335]), sex (OR = 3.818; 95% CI = [2.437, 5.982]), and a-ADL-DI (OR = 1.230; 95% CI = [1.018, 1.486]) as variables significantly related to prefrailty (68.3%; χ = 68.25; = 3; < .001).
Discussion: Subtle limitations in a-ADLs, higher age, and being a man were associated with prefrailty, revealing the possible role of personal and culturally related a-ADLs as red flags for (pre)frailty.
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http://dx.doi.org/10.1177/0733464821991007 | DOI Listing |
Acta Diabetol
January 2025
Department of Cardiology, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, People's Republic of China.
Background: To investigate the association of frailty status and its changes with new-onset diabetes.
Methods: A total of 4638 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included. Frailty status was assessed by the frailty index (FI) and categorized as robust, pre-frail, and frail.
Age Ageing
January 2025
Northumbria Healthcare NHS Foundation Trust-Department of Elderly Care, North Shields, UK.
Background: As populations age, low- and middle-income countries (LMICs) are rapidly adapting hospital services to meet the needs of older populations. This systematic review aimed to establish the prevalence of frailty and pre-frailty amongst older people admitted to hospital in LMICs, and to compare levels with existing estimates for high-income settings.
Methods: Databases Medline, Embase, CINAHL and PsychInfo were searched, and results were manually screened by two researchers.
J Prosthodont Res
January 2025
Department of Prosthodontics, Gerontology and Oral Rehabilitation, Osaka University Graduate School of Dentistry, Suita, Japan.
Purpose: Although the association between oral health and physical frailty is well established, psychological frailty has not been investigated. Therefore, this prospective cohort study was conducted to examine the association between masticatory performance and psychological frailty in older community-dwelling Japanese individuals.
Methods: The participants included 498 older adults who completed baseline and 3- and 6-year follow-up surveys.
J Cancer Surviv
January 2025
School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Purpose: This study aimed to evaluate the prevalence and predictors of frailty and the association between frailty and neurocognitive impairments among Chinese survivors of childhood cancer.
Methods: A total of 185 survivors of childhood cancer were recruited from a long-term follow-up clinic in Hong Kong (response rate: 94.4%; 48.
Background: Frailty in older adults is linked to increased risks and lower quality of life. Pre-frailty, a condition preceding frailty, is intervenable, but its determinants and assessment are challenging. This study aims to develop and validate an explainable machine learning model for pre-frailty risk assessment among community-dwelling older adults.
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