ArticleFrontiers in medicine2022
Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Association of frailty and mortality risk in community-dwelling older adults: a systematic review and meta-analysis of 59 international prospective cohort studies.BMC public health · 2026Pooled it
- Development and validation of an Online Comprehensive Geriatric Screening (O-CGS) Tool.BMC public health · 2026Article
- Development and validation of the Frailty Questionnaire-5 (FQ-5), a PRISMA-7-derived screening tool for frailty: a diagnostic accuracy study in primary care.BMC geriatrics · 2026Article
- Development of a frailty screening tool using components from clinical parameters and frailty criteria for Thai community-dwelling older adults.BMC geriatrics · 2026Observational
- Translation and validation of the Thai clinical frailty scale and classification tree in older adults.BMC geriatrics · 2025Article
- Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study.JMIR aging · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Frailty has been increasingly recognized as a public health problem for aging populations with significant social impact, particularly in low- and middle-income countries. We aimed to develop a modified version of the Thai Frailty Index (TFI) and explore the association between different frailty statuses, socioeconomic factors, and mortality in community-dwelling older people from a middle-income country. Methods: The data from participants aged ≥60 years in the Fourth Thai National Health Examination Survey were used to construct the 30-item TFI. Cutoff points were created based on stratum-specific likelihood ratio. TFI ≤ 0.10 was categorized as fit, 0.10-0.25 as pre-frail, 0.25-0.45 as mildly frail, and >0.45 as severely frail. The association of frailty status with mortality was examined using Cox proportional hazard models. Findings: Among 8,195 older adults with a mean age of 69.2 years, 1,284 died during the 7-year follow-up. The prevalence of frailty was 16.6%. The adjusted hazard ratio (aHR) for mortality in pre-frail was 1.76 (95% CI = 1.50-2.07), mildly frail 2.79 (95% CI = 2.33-3.35), and severely frail 6.34 (95% CI = 4.60-8.73). Having a caretaker in the same household alleviated mortality risk for severely frail participants with an aHR of 2.93 (95% CI = 1.92-4.46) compared with an aHR of 6.89 (95% CI = 3.87-12.26) among those living without a caretaker. Interpretation: The severity of frailty classified by the modified TFI can predict long-term mortality risk for community-dwelling older adults. Identification of severely frail older people to provide appropriate care might alleviate mortality risk. Our findings can inform policymakers to appropriately allocate services in a resource-limited setting.
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