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Data_Sheet_1_Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country.PDF

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NIAID Data Ecosystem2026-03-14 收录
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https://figshare.com/articles/dataset/Data_Sheet_1_Severity_of_frailty_using_modified_Thai_frailty_index_social_factors_and_prediction_of_mortality_among_community-dwelling_older_adults_in_a_middle-income_country_PDF/21700232
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BackgroundFrailty 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. MethodsThe 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. FindingsAmong 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. InterpretationThe 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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2022-12-09
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