ArticleBMC geriatrics2024
Frailty predicts all-cause and cause-specific mortality among older adults in Austria: 8-year mortality follow-up of the Austrian Health Interview Survey (ATHIS 2014).
Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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
- Network Analysis of Food Intake Patterns and Frailty Dimensions in Chinese Older Adults: A National Cross-Sectional Study.Nutrients · 2026Article
- Robustness in Older Adults: A Concept Analysis Using Rodgers' Evolutionary Approach.Nursing & health sciences · 2026Review
- Frailty index predicts the risk of 17 health outcomes in distinct ways: prospective findings from the Moli-sani Study.Age and ageing · 2026Article
- Frailty trajectories and mortality risk in community-dwelling older adults: a 9-year follow-up study.European geriatric medicine · 2025Article
- Therapeutic competitions and frailty among older adults in São Paulo city: a cross-sectional population-based study, 2015.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025Article
- Association of 3-year change in frailty index with risk of all-cause mortality among older Chinese population: a national cohort study.BMC geriatrics · 2024Article
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6 authors.
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Abstract
backgroundThe frailty index (FI) is an established predictor of all-cause mortality among older adults, but less is known with regard to cause-specific mortality, and whether the predictive power of the FI varies between men and women and by socio-economic position.
methodsWe assessed all-cause and cause-specific mortality during 8 years of follow-up (median = 7 years) among the population-representative sample of older adults (65 + , n = 2,561) from the European Health Interview Survey in Austria (ATHIS 2014). A FI at baseline was constructed from 41 health deficits. Official cause of death information from Statistics Austria was linked with the survey data by the Austrian Micro Data Center (AMDC). Next to all-cause mortality, we differentiated between mortality from cardiovascular diseases (CVD), cancer, and other causes. Cox proportional hazard models adjusted for socio-demographic variables and causes of death as competing risks were used to assess mortality prediction.
resultsAmong the participants, 43.5% were robust (FI < 0.10), 37.7% pre-frail (FI = 0.10-0.21), and 18.7% were frail (FI > 0.21). 405 (15.8%) participants died during follow-up. Among the deceased, 148 (36.5%) died from CVD, 127 (31.4%) died from cancer, and 130 (32.1%) died from other causes of death. The FI predicted all-cause (hazard ratio, HR = 1.33 per 0.1 FI and HR = 2.4 for frail compared to robust older adults) and cause-specific mortality risk (HR
conclusionsThe FI predicts all-cause and cause-specific mortality (CVD, other causes) well, which points to its relevance as a potential screening tool for risk stratification among community-dwelling older adults.
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