ArticleBMC oral health2024
Analysis of the potential profile and influencing factors for oral frailty in olderly patients with dental implants.
Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Oral frailty in older adults: a scoping review of risk factors, adverse outcomes, and interventions.BMC geriatrics · 2026Article
- Heterogeneous trajectories of oral frailty and their determinants in older patients receiving dental implants: a longitudinal study.Frontiers in public health · 2026Article
- Oral frailty trajectories and influencing factors in older adults with stroke: a longitudinal study.BMC nursing · 2025Article
- Salivary alkaline phosphatase levels and alveolar bone crest changes in immediate vs. delayed implant placement.Journal of advanced periodontology & implant dentistry · 2025Article
- Factors associated with oral frailty in elderly stroke patients in Eastern China.Revista da Escola de Enfermagem da U S P · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the current state of oral frailty in oldely patients with require dental implants, analyze influencing factors in the characteristics of oral frailty across different patient categories, and provide a reference for clinical staff to identify high-risk groups and develop proactive management strategies.
methodsBetween January 2024 and March 2024, 654 patients with dental implants were selected using convenience sampling from six secondary and tertiary stomatological hospitals in Jiangsu and Zhejiang provinces. Data were collected via a general information questionnaire and the Oral Frailty Index-8. The latent profiles of oral frailty were examined, and univariate and Logistic regression analyses were conducted to determine the impact of various factors on these profiles.
resultsIn this cross-sectional study, 605 valid questionnaires were returned, yielding an effective rate of 92.58%. The mean oral frailty score was 6.64 ± 1.21, with the sample comprising 223 males and 382 females, averaging 72.54 ± 6.33 years old. Oral frailty was categorized into three latent profiles: high (20.50%), moderate (53.72%), and low (25.78%) frailty groups. Factor analysis indicated that age, gender, education level, family income, number of implants, and dyslipidemia significantly predicted the classification of these profiles (P < 0.05).
conclusionOral frailty in oldely patients with dental implants exhibits heterogeneity and is influenced by age, sex, education level, family income, number of implants, and dyslipidemia. Clinical staff should recognize the characteristics of different patient categories and implement proactive measures for those at high risk of oral frailty to enhance their quality of life.
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