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Health literacy (HL) promotes healthy lifestyle behaviors among older adults, and its relationship with frailty remains unclear. This study examined whether HL is a predictor of frailty progression among community-dwelling older adults. Data from two surveys conducted in 2012 and 2016 involving older residents (mean age, 71.6 ± 4.6 years) of Kashiwa City, Chiba Prefecture, Japan were used. Only healthy individuals without frailty and cognitive impairments participated in the 2012 assessment, where the Kihon Checklist (KCL), HL, and other variables were assessed. Logistic and multiple logistic analyses were used to assess the effects of HL and other factors on frailty between the ‘high HL’ vs. ‘low HL’ groups in 2012 and between the ‘robust’ vs. ‘frailty-progressing’ groups in 2016. Of the 621 robust participants, 154 (25.4%) had progression of frailty in 2016, which was significantly associated with advanced age, higher KCL score, lower HL, poor mental health, and lack of social support. Furthermore, low HL was a predictor of frailty progression. Low HL may be associated with frailty progression. The obtained results suggest that increased health literacy should be effective in preventing frailty for community-dwelling older residents.

A statistical model to predict oral frailty based on information obtained from questionnaires might help to estimate its prevalence and clarify its determinants. In this study, we aimed to develop and validate a predictive model to assess oral frailty thorough a secondary data analysis of a previous cross-sectional study on oral frailty conducted on 843 patients aged ≥ 65 years. The data were split into training and testing sets (a 70/30 split) using random sampling. The training set was used to develop a multivariate stepwise logistic regression model. The model was evaluated on the testing set and its performance was assessed using a receiver operating characteristic (ROC) curve. The final model in the training set consisted of age, number of teeth present, difficulty eating tough foods compared with six months ago, and recent history of choking on tea or soup. The model showed good accuracy in the testing set, with an area of 0.860 (95% confidence interval: 0.806–0.915) under the ROC curve. These results suggested that the prediction model was useful in estimating the prevalence of oral frailty and identifying the associated factors.

Background: Sarcopenia is a major cause of frailty, which relates to nutrition-related, physical, and social factors. In this study, we aimed to discuss the cross-sectional association of sarcopenia with the above three factors both individually and comprehensively. Methods: Overall, 1257 older adults (≥65 years old) participated in this study. Sarcopenia was determined via the Asian Working Group for Sarcopenia 2019 criteria. The independent variables for nutrition-related, physical, and social factors and especially their criteria for health condition were defined separately. Binomial logistic regression analysis was carried out to testify the associations of sarcopenia with three factors individually and in combination. Results: The mean age was 74.6 (±5.5), and women were 47.7%. Sarcopenia prevalence was 7.5%. Participants who did not meet the criteria of nutritional health, physical fitness, or social robustness independently had significant associations with a higher adjusted odds ratio (aOR) of sarcopenia or its indices of lower grip strength, muscle mass, or gait speed. In comparison to participants meeting three criteria, those who met two, one, or none showed (marginally) significant association with increased aOR for sarcopenia (aOR (95% confidence interval)): two: 1.97 (0.84–4.64); one: 2.35 (1.00–5.23); none: 5.52 (2.30–13.23). Conclusions: Comprehensive countermeasures with the above three factors are indispensable for sarcopenia prevention.

Background: The aim of this study was to examine the association of the multiple facets of oral, motor, and social functions in community-dwelling older adults, to identify factors that might influence the risk of frailty. Methods: Of the 82 participants included in the study, 39 (5 males and 34 females) were young-old adults, with an average age of 70.5 ± 2.8 years, and 43 (14 males and 29 females) were old-old adults, with an average age of 78.7 ± 2.9 years. We assessed the risk factors for frailty among oral, motor, and social functions. Results: Statistical analysis showed a significant difference in the oral diadochokinesis between the groups (p = 0.006). According to the Spearman correlation analysis, a significant association was observed with age and oral diadochokinesis (rs = −0.262, p = 0.018), and social support (rs = −0.219, p = 0.049). Moreover, binomial logistic regression analysis revealed a significant association of frailty with the occlusal force (odds ratio, 0.031; 95% confidence interval (95% CI), 0.002–0.430; p = 0.010), General Oral Health Index (odds ratio, 0.930; 95% CI, 0.867–0.999, p = 0.046), and availability of social support (odds ratio, 0.803, 95% CI, 0.690–0.934, p = 0.004). Conclusions: To prevent frailty at an early stage, assessments of oral functions, and also that of the availability of social support, are important.