ArticleFrontiers in aging neuroscience2024
Association between frailty index and cognitive dysfunction in older adults: insights from the 2011-2014 NHANES data.
Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Associations of cumulative exposure and dynamic trajectories of the combined atherogenic and frailty index with incident cardiometabolic multimorbidity: a longitudinal analysis based on the China Health and Retirement Longitudinal Study (CHARLS).Cardiovascular diabetology · 2026Article
- Gender differences in the association between physical frailty and cognitive function among older adults: A cross-sectional study in rural Guizhou, China.Scientific reports · 2026Article
- Construction and validation of oral frailty risk assessment model in elderly hospitalized patients.BMC oral health · 2026Article
- Association of central adiposity indices with cognitive impairment in elderly populations: Development and validation of a risk prediction nomogram using NHANES and CHARLS cohorts.Journal of Alzheimer's disease : JAD · 2026Article
- Frailty is Independently Associated with Stress Urinary Incontinence in Women: A SHAP-Enhanced Machine Learning Analysis.International urogynecology journal · 2026Article
- The impact of frailty scores on latent tuberculosis infection and all-cause mortality in this population.Medicine · 2026Article
- Association of systemic inflammation with balance and falls in older adults: National Health and Nutrition Examination Survey and Mendelian randomization study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Association of transitions in frailty with dementia risk: findings from two longitudinal cohort studies.Frontiers in medicine · 2026Article
- The association between frailty and recurrent pregnancy loss in reproductive-aged women: a cross-sectional study.Scientific reports · 2025Article
- Diet-microbiome synergy: unraveling the combined impact on frailty through interactions and mediation.Nutrition journal · 2025Article
- Frailty links the heterogeneity of tinnitus disorder and response to interventions in older patients.Frontiers in neurology · 2025Review
- Integration of Immunometabolic Composite Indices and Machine Learning for Diabetic Retinopathy Risk Stratification: Insights from NHANES 2011 - 2020.Ophthalmology scienceArticle
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4 authors.
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Abstract
Background: As the population ages, the occurrence of cognitive decline and dementia is continuously increasing. Frailty is a prevalent problem among older adults. Epidemiologic studies have shown a comorbidity between frailty and cognitive impairment. However, their relationship remains unclear. The frailty index is an important indicator for measuring frailty. This study aims to investigate the relationship between frailty index and cognitive dysfunction in older adults aged 60 years and older in the United States from the 2011-2014 National Health and Nutrition Examination Survey (NHANES). Methods: Community-dwelling older adults aged 60 years or older from 2011 to 2014 were extracted from the NHANES database. The frailty index was calculated using the formula: frailty index = total number of deficits present/total number of deficits measured. The Animal Fluency (AF), the Digit Symbol Substitution Test (DSST), the Consortium to Establish a Registry for Alzheimer's disease Delayed Recall (CERAD-DR), and Word Learning (CERAD-WL) were used to evaluate cognitive dysfunction. Firstly, weighted logistic regression analysis was used to explore the relationship between frailty index and cognitive dysfunction. Secondly, the influence of covariates on the frailty index was evaluated by subgroup analysis and interaction. Finally, the non-linear relationship is discussed by using the restricted cubic spline regression model. Results: Our study included a total of 2,574 patients, weighted logistic regression analysis, after adjusting for all covariates, showed that the frailty index was associated with every test score. The interaction showed that covariates had no significant effect on this association in AF. The association between the frailty index and AF in the restricted cubic spline regression model is non-linear. As the frailty index increased, the risk of AF reduction increased, suggesting a higher risk of cognitive dysfunction. Conclusion: In general, a high frailty index appears to be associated with an increased risk of cognitive dysfunction in the elderly. Consequently, protecting against cognitive decline necessitates making geriatric frailty prevention and treatment top priorities.
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