ArticleBMC geriatrics2019
Development of a clinical prediction model for the onset of functional decline in people aged 65-75 years: pooled analysis of four European cohort studies.
Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 5 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Body mass index and activities of daily living impairment: systematic review and meta-analysis.European journal of clinical nutrition · 2026Pooled it
- Disability risk prediction models in community-dwelling older adults: a systematic review.BMC geriatrics · 2026Pooled it
- Risk prediction models for disability in older adults: a systematic review and critical appraisal.BMC geriatrics · 2024Pooled it
- Prediction models for functional status in community dwelling older adults: a systematic review.BMC geriatrics · 2022Pooled it
- Do morbidity measures predict the decline of activities of daily living and instrumental activities of daily living amongst older inpatients? A systematic review.International journal of clinical practice · 2021Pooled it
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- Statistical methods for retrospective harmonization of longitudinal epidemiological data: a scoping review.European journal of epidemiology · 2026Article
- Predicting the risk of activities of daily living dysfunction in middle-aged and older adults with comorbid hypertension and diabetes: a national population-based survey analysis.BMC medical informatics and decision making · 2026Article
- Development and Validation of a Disability Risk Prediction Model for Older Adults Based on Machine Learning: A Multi-Algorithm Comparison with SHAP Interpretation.Clinical interventions in aging · 2026Article
- Application of interpretable machine learning to predict activities of daily living disability in sarcopenia: insights from the CHARLS dataset.BMC geriatrics · 2025Article
- Advancing healthcare allocation and prevention of disability: the role of disease-based predictive model for disability in aging adults.BMC geriatrics · 2025Article
- Development and Validation of a Predictive Model for Activities of Daily Living Dysfunction in Older Adults: Retrospective Analysis of Data From the China Health and Retirement Longitudinal Study.JMIR medical informatics · 2025Article
- Observational
- Article
- Function Impairment Screening Tool predicts eight-year mortality in older adults: Beijing Longitudinal Study of Aging.The journal of nutrition, health & aging · 2024Article
- Deep learning model for the prediction of all-cause mortality among long term care people in China: a prospective cohort study.Scientific reports · 2024Article
- Effects of Cognitive-Motor and Motor-Motor Dual Tasks on Gait Performance in Older Adults with Sarcopenia.Healthcare (Basel, Switzerland) · 2024Article
- Low Physical Performance Could Be Associated with Adverse Health Outcomes over Time: Results from a Cohort of Older Adults.International journal of environmental research and public health · 2024Article
- Correlation of muscle strength, working memory, and activities of daily living in older adults.Frontiers in aging neuroscience · 2024Article
- Muscular strength, mobility in daily life and mental wellbeing among older adult Inuit in Greenland. The Greenland population health survey 2018.International journal of circumpolar health · 2023Article
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18 authors.
Funding
Abstract
backgroundIdentifying those people at increased risk of early functional decline in activities of daily living (ADL) is essential for initiating preventive interventions. The aim of this study is to develop and validate a clinical prediction model for onset of functional decline in ADL in three years of follow-up in older people of 65-75 years old.
methodsFour population-based cohort studies were pooled for the analysis: ActiFE-ULM (Germany), ELSA (United Kingdom), InCHIANTI (Italy), LASA (Netherlands). Included participants were 65-75 years old at baseline and reported no limitations in functional ability in ADL at baseline. Functional decline was assessed with two items on basic ADL and three items on instrumental ADL. Participants who reported at least some limitations at three-year follow-up on any of the five items were classified as experiencing functional decline. Multiple logistic regression analysis was used to develop a prediction model, with subsequent bootstrapping for optimism-correction. We applied internal-external cross-validation by alternating the data from the four cohort studies to assess the discrimination and calibration across the cohorts.
resultsTwo thousand five hundred sixty community-dwelling people were included in the analyses (mean age 69.7 ± 3.0 years old, 47.4% female) of whom 572 (22.3%) reported functional decline at three-year follow-up. The final prediction model included 10 out of 22 predictors: age, handgrip strength, gait speed, five-repeated chair stands time (non-linear association), body mass index, cardiovascular disease, diabetes, chronic obstructive pulmonary disease, arthritis, and depressive symptoms. The optimism-corrected model showed good discrimination with a C statistic of 0.72. The calibration intercept was 0.06 and the calibration slope was 1.05. Internal-external cross-validation showed consistent performance of the model across the four cohorts.
conclusionsBased on pooled cohort data analyses we were able to show that the onset of functional decline in ADL in three years in older people aged 65-75 years can be predicted by specific physical performance measures, age, body mass index, presence of depressive symptoms, and chronic conditions. The prediction model showed good discrimination and calibration, which remained stable across the four cohorts, supporting external validity of our findings.
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