ArticleBMC geriatrics2021
A web-based dynamic Nomogram for predicting instrumental activities of daily living disability in older adults: a nationally representative survey in China.
Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.
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Who cites it
27 citing papers in PubMed, 2 syntheses or guidelines pooled 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
- Association between muscle-specific strength and disability in instrumental activities of daily living in patients with chronic kidney disease.International urology and nephrology · 2026Article
- The promise and peril of AI for disability health equity: A justice-centered narrative review.PLOS digital health · 2026Review
- Assessment of disability in the older adults using electronic health record-based data: a machine learning approach.Frontiers in public health · 2026Article
- Development and external validation of a machine learning model for three-tier disability risk stratification in older adults.Frontiers in public health · 2026Article
- Advancing healthcare allocation and prevention of disability: the role of disease-based predictive model for disability in aging adults.BMC geriatrics · 2025Article
- A body shape index modifies the association between air pollution and cardiometabolic multimorbidity.Scientific reports · 2025Article
- Associations between sleep duration trajectories and physical dysfunction among middle-aged and older Chinese adults.BMC public health · 2025Article
- The correlation between high temperature and cognitive function: a CHARLS 2018 cross-sectional study.Archives of public health = Archives belges de sante publique · 2025Article
- Depressive symptoms and chronic disease trajectories and predictors in middle-aged and older adults in China: An eight-year multi-trajectory analysis.Global health & medicine · 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
- Construction of disability risk prediction model for the elderly based on machine learning.Scientific reports · 2025Article
- The effect of cognitive function heterogeneity on depression risk in older adults: a stratified analysis based on functional status.Frontiers in public health · 2025Article
- A web-based dynamic nomogram for predicting readmission in patients with heart failure with preserved ejection fraction.Frontiers in cardiovascular medicine · 2025Article
- AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders.Frontiers in psychiatry · 2024Article
- Association between disability in activities of daily living and phase angle in hemodialysis patients.BMC nephrology · 2023Observational
- A novel staging system based on deep learning for overall survival in patients with esophageal squamous cell carcinoma.Journal of cancer research and clinical oncology · 2023Article
- Constructing and Validating a Dynamic Nomogram to Predict Response to Bariatric Surgery: A Multicenter Retrospective Study.Obesity surgery · 2023Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInstrumental Activities of Daily Living (IADL) disability is a common health burden in aging populations. The identification of high-risk individuals is essential for timely targeted interventions. Although predictors for IADL disability have been well described, studies constructing prediction tools for IADL disability among older adults were not adequately explored. Our study aims to develop and validate a web-based dynamic nomogram for individualized IADL disability prediction in older adults.
methodsData were obtained from the China Health and Retirement Longitudinal Study (CHARLS). We included 4791 respondents aged 60 years and over, without IADL disability at baseline in the 2011 to 2013 cohort (training cohort) and 371 respondents in the 2013 to 2015 cohort (validation cohort). Here, we defined IADL disability as needing any help in any items of the Lawton and Brody's scale. A web-based dynamic nomogram was built based on a logistic regression model in the training cohort. We validated the nomogram internally with 1000 bootstrap resamples and externally in the validation cohort. The discrimination and calibration ability of the nomogram was assessed using the concordance index (C-index) and calibration plots, respectively.
resultsThe nomogram incorporated ten predictors, including age, education level, social activity frequency, drinking frequency, smoking frequency, comorbidity condition, self-report health condition, gait speed, cognitive function, and depressive symptoms. The C-index values in the training and validation cohort were 0.715 (bootstrap-corrected C-index = 0.702) and 0.737, respectively. The internal and external calibration plots for predictions of IADL disability were in excellent agreement. An online web server was built ( https://lilizhang.shinyapps.io/DynNomapp/ ) to facilitate the use of the nomogram.
conclusionsWe developed a dynamic nomogram to evaluate the risk of IADL disability precisely and expediently. The application of this nomogram would be helpful for health care physicians in decision-making.
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