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Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study

Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study

The prevalence of frailty is high among older adults aged ≥60 years [5]. Global frailty prevalence ranges from approximately 10% to 12% [6-11]. The percentage varies by age, gender, and frailty classification tool. In Thailand, frailty prevalence was 22.1%, which is twice the global frailty prevalence, according to the Thai National Health Examination Survey cohort in 2018. Specifically, Thailand’s northern region frailty prevalence was found to be 15% [12,13].

Natthanaphop Isaradech, Wachiranun Sirikul, Nida Buawangpong, Penprapa Siviroj, Amornphat Kitro

JMIR Aging 2025;8:e62942

FRAILSURVEY—an mHealth App for Self-Assessment of Frailty Based on the Portuguese Version of the Groningen Frailty Indicator: Validation and Reliability Study

FRAILSURVEY—an mHealth App for Self-Assessment of Frailty Based on the Portuguese Version of the Groningen Frailty Indicator: Validation and Reliability Study

Portugal ranks among the European countries with the highest prevalence of frailty (20.7%) [5,6]. Frailty is characterized by a reduced physiologic reserve and increased susceptibility to stressors, leading to an elevated risk of adverse health outcomes such as falls, hospitalization, disability, and death.

Luis Midao, Mafalda Duarte, Rute Sampaio, Marta Almada, Cláudia Camila Dias, Constança Paúl, Elísio Costa

JMIR Form Res 2025;9:e51975

Agreement Between Provider-Completed and Patient-Completed Preoperative Frailty Screening Using the Clinical Risk Analysis Index: Cross-Sectional Questionnaire Study

Agreement Between Provider-Completed and Patient-Completed Preoperative Frailty Screening Using the Clinical Risk Analysis Index: Cross-Sectional Questionnaire Study

Frailty is a multidimensional syndrome characterized by decreased physiological reserve reducing recovery from stressors including surgery and is associated with increased postoperative morbidity and mortality [1]. Frailty screening and multidisciplinary management of persons with frailty before elective surgery improve perioperative functional performance, decrease postoperative mortality, and may improve postoperative morbidity [2,3].

Mehraneh Khalighi, Amy C Thomas, Karl J Brown, Katherine C Ritchey

JMIR Perioper Med 2025;8:e66440

Comparison of 3 Aging Metrics in Dual Declines to Capture All-Cause Dementia and Mortality Risk: Cohort Study

Comparison of 3 Aging Metrics in Dual Declines to Capture All-Cause Dementia and Mortality Risk: Cohort Study

A meta-analysis highlighted an increased dementia risk in individuals with both physical frailty and cognitive impairment compared to those with cognitive impairment alone [7]. Therefore, composite aging metrics may serve as focal points for interventions aimed at preventing or delaying disability onset and enhancing the healthy lifespan of the elderly [8,9].

Anying Bai, Shan He, Yu Jiang, Weihao Xu, Zhanyi Lin

JMIR Aging 2025;8:e66104

Association of Frailty Index at 66 Years of Age with Health Care Costs and Utilization Over 10 Years in Korea: Retrospective Cohort Study

Association of Frailty Index at 66 Years of Age with Health Care Costs and Utilization Over 10 Years in Korea: Retrospective Cohort Study

Frailty is defined by a decline in physiological reserves across multiple organ systems, leading to increased susceptibility to poor health outcomes following stressors [5]. Previous studies have found that frailty was associated with increased health care costs and utilization [6-10]. Moreover, individuals with frailty accounted for 43.9% of preventable health care expenditures [11].

Jieun Jang, Anna Kim, Mingee Choi, Ellen P McCarthy, Brianne Olivieri-Mui, Chan Mi Park, Jae-Hyun Kim, Jaeyong Shin, Dae Hyun Kim

JMIR Public Health Surveill 2025;11:e50026

The Usability and Effect of a Novel Intelligent Rehabilitation Exergame System on Quality of Life in Frail Older Adults: Prospective Cohort Study

The Usability and Effect of a Novel Intelligent Rehabilitation Exergame System on Quality of Life in Frail Older Adults: Prospective Cohort Study

Frailty is a clinical aging syndrome attributed to chronic disease interactions and other factors, including an unbalanced diet and adverse lifestyle habits. In Taiwan, the prevalence of frailty and prefrailty in older adults aged 65 years and above is 5.4% and 41.5%, respectively, with a higher prevalence among females than males [1-3].

Chien-Hsiang Chang, Chun-Chun Wei, Wei-Chih Lien, Tai-Hua Yang, Bo Liu, Yimo Lin, Poh Thong Tan, Yang-Cheng Lin

JMIR Serious Games 2025;13:e50669

Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study

Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study

Early diagnosis and management of frailty are important not only for tailoring care plans and predicting adverse health outcomes at the individual level but also for strategizing public health initiatives that meet the distinct requirements of the rapidly growing older population [3]. Although the concept of frailty is universally recognized, methods for measuring frailty have not yet been standardized.

Taehwan Kim, Jung-Yeon Choi, Myung Jin Ko, Kwang-il Kim

JMIR Med Inform 2025;13:e57298