ArticleInternational journal of environmental research and public health2022
Frailty Risk Prediction Model among Older Adults: A Chinese Nation-Wide Cross-Sectional Study.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Trends and lifestyle contributions to frailty in US adults aged 50 and older: analysis of health and retirement study data (2004-2020).BMC public health · 2026Article
- Construction and validation of frailty risk prediction model in elderly patients with colorectal cancer.BMC geriatrics · 2025Article
- Article
- Frailty prediction in patients with chronic digestive system diseases: based on multi-task learning model.Frontiers in medicine · 2025Article
- Development and validation of PRE-FRA (PREdiction of FRAilty risk in community older adults) frailty prediction model.Frontiers in public health · 2025Article
- Development of a Frailty Prediction Model Among Older Adults in China: A Cross-Sectional Analysis Using the Chinese Longitudinal Healthy Longevity Survey.Nursing open · 2024Article
- The Impact of Social Participation on Frailty among Older Adults: The Mediating Role of Loneliness and Sleep Quality.Healthcare (Basel, Switzerland) · 2024Article
- Factors Associated with Frailty in Older Adults in Community and Nursing Home Settings: A Systematic Review with a Meta-Analysis.Journal of clinical medicine · 2024Review
- Comparative study of the risk prediction model of early postoperative frailty in elderly enterostomy patients based on machine learning methods.Frontiers in medicine · 2024Article
- Nomogram model for screening the risk of frailty in older adult atrial fibrillation patients: a cross-sectional study.Frontiers in public health · 2024Article
- Development and validation of a nomogram-assisted tool to predict potentially reversible cognitive frailty in Chinese community-living older adults.Aging clinical and experimental research · 2023Article
- The prevalence and predictors of geriatric giants in community-dwelling older adults: a cross-sectional study from the Middle East.Scientific reports · 2023Article
- Development and validation of a risk prediction model for frailty in patients with diabetes.BMC geriatrics · 2023Article
- Gender Differences in Socio-Demographic Factors Associated with Pre-Frailty in Japanese Rural Community-Dwelling Older Adults: A Cross-Sectional Study.International journal of environmental research and public health · 2023Article
- Development and Validation of a Risk Prediction Model for Frailty in Patients with Chronic Diseases.Gerontology & geriatric medicineArticle
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesNumerous studies have been performed on frailty, but rarely do studies explore the integrated impact of socio-demographic, behavioural and social support factors on frailty. This study aims to establish a comprehensive frailty risk prediction model including multiple risk factors.
methodsThe 2018 wave of the Chinese Longevity and Health Longitudinal Survey was used. Univariate and multivariate logistic regressions were performed to identify the relationship between frailty and multiple risk factors and establish the frailty risk prediction model. A nomogram was utilized to illustrate the prediction model. The area under the receiver operating characteristic curve (AUC), Hosmer-Lemeshow test and calibration curve were used to appraise the prediction model.
resultsVariables from socio-demographic, social support and behavioural dimensions were included in the final frailty risk prediction model. Risk factors include older age, working as professionals and technicians before 60 years old, poor economic condition and poor oral hygiene. Protective factors include eating rice as a staple food, regular exercise, having a spouse as the first person to share thoughts with, doing physical examination once a year and not needing a caregiver when ill. The AUC (0.881), Hosmer-Lemeshow test (
conclusionRisk factors from socio-demographic, behavioural and social support dimensions had a comprehensive effect on frailty, further supporting that a comprehensive and individualized intervention is necessary to prevent frailty.
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