Can Social Resources Explain the Limitations in the Activities of Daily Living of Older Adults Classified by the Phenotype of Physical Frailty?

The objective is to investigate the mediating roles of living alone and personal network in the relationship between physical frailty and activities of daily living (ADL) limitations among older adults. 2271 individuals were classified as vulnerable (pre-frail or frail) or robust. Mediating variables were living alone and personal network. Katz Index and Lawton-Brody scale were used to assess ADL. Mediating effects were analyzed with beta coefficients from linear regression models using the bootstrapping method. Mediation analysis showed significant mediating effects of living alone (β = .011; 95% CI = .004; .018) and personal network (β = .005; 95% CI = .001; .010) on the relationship between physical frailty and basic ADL limitations. Mediation effects of living alone and personal network on the relationship between physical frailty and instrumental ADL limitations were β = −.074 (95% CI=−.101; −.046) and β = −.044 (95% CI = −.076; −.020), respectively. Physically vulnerable older adults who lived alone or had poor personal network were more dependent on basic and instrumental ADL.

The Impact of High Carbohydrate Intake on Physical Frailty in Older Korean Adults: a Cohort-based Cross-sectional Study

Background: The relationship between macronutrients and frailty is unclear. Previous studies have confirmed the relationships between energy and protein intake and physical frailty, while few studies have examined the role of carbohydrate or fat intake in the prevalence of frailty. The aim of this study is to investigate the relationship of energy and macronutrients with physical frailty in the Korean elderly population who had a high proportion of energy intake from carbohydrates.Methods: This study included 954 adults aged 70 to 84 years who have completed the assessment of frailty and 24-h recall upon enrolment in the Korean Frailty and Aging Cohort Study and have no extreme intake under 400 kcal (n = 2). The relationship between energy or macronutrients and frailty was evaluated using multivariate logistic regression models and multivariate nutrient density models.Results: In the subjects with low energy intake (odds ratio [OR] = 2.94, 95% confidence interval [CI] = 1.34–6.45) and total subjects (OR = 2.01, 95% CI = 1.03–3.93), consuming carbohydrates above the acceptable macronutrient distribution range (65% of energy) was related to a higher risk of frailty. Substituting the energy from fat with carbohydrates was related to a higher risk of frailty (1%, OR = 1.05, 95% CI = 1.00–1.09; 5%, OR = 1.26, 95% CI = 1.02–1.56; 10%, OR = 1.59, 95% CI = 1.03–2.43).Conclusions: This study showed that the proportion of energy intake from carbohydrates and fats may be an important nutritional intervention factor for reducing the risk of frailty.

Prediction of Physical Frailty in Orthogeriatric Patients Using Sensor Insole–Based Gait Analysis and Machine Learning Algorithms: Cross-sectional Study

Background Assessment of the physical frailty of older patients is of great importance in many medical disciplines to be able to implement individualized therapies. For physical tests, time is usually used as the only objective measure. To record other objective factors, modern wearables offer great potential for generating valid data and integrating the data into medical decision-making. Objective The aim of this study was to compare the predictive value of insole data, which were collected during the Timed-Up-and-Go (TUG) test, to the benchmark standard questionnaire for sarcopenia (SARC-F: strength, assistance with walking, rising from a chair, climbing stairs, and falls) and physical assessment (TUG test) for evaluating physical frailty, defined by the Short Physical Performance Battery (SPPB), using machine learning algorithms. Methods This cross-sectional study included patients aged >60 years with independent ambulation and no mental or neurological impairment. A comprehensive set of parameters associated with physical frailty were assessed, including body composition, questionnaires (European Quality of Life 5-dimension [EQ 5D 5L], SARC-F), and physical performance tests (SPPB, TUG), along with digital sensor insole gait parameters collected during the TUG test. Physical frailty was defined as an SPPB score≤8. Advanced statistics, including random forest (RF) feature selection and machine learning algorithms (K-nearest neighbor [KNN] and RF) were used to compare the diagnostic value of these parameters to identify patients with physical frailty. Results Classified by the SPPB, 23 of the 57 eligible patients were defined as having physical frailty. Several gait parameters were significantly different between the two groups (with and without physical frailty). The area under the receiver operating characteristic curve (AUROC) of the TUG test was superior to that of the SARC-F (0.862 vs 0.639). The recursive feature elimination algorithm identified 9 parameters, 8 of which were digital insole gait parameters. Both the KNN and RF algorithms trained with these parameters resulted in excellent results (AUROC of 0.801 and 0.919, respectively). Conclusions A gait analysis based on machine learning algorithms using sensor soles is superior to the SARC-F and the TUG test to identify physical frailty in orthogeriatric patients.

Associations between lifestyle factors and multidimensional frailty: a cross-sectional study among community-dwelling older people

Background Multidimensional frailty, including physical, psychological, and social components, is associated to disability, lower quality of life, increased healthcare utilization, and mortality. In order to prevent or delay frailty, more knowledge of its determinants is necessary; one of these determinants is lifestyle. The aim of this study is to determine the association between lifestyle factors smoking, alcohol use, nutrition, physical activity, and multidimensional frailty. Methods This cross-sectional study was conducted in two samples comprising in total 45,336 Dutch community-dwelling individuals aged 65 years or older. These samples completed a questionnaire including questions about smoking, alcohol use, physical activity, sociodemographic factors (both samples), and nutrition (one sample). Multidimensional frailty was assessed with the Tilburg Frailty Indicator (TFI). Results Higher alcohol consumption, physical activity, healthy nutrition, and less smoking were associated with less total, physical, psychological and social frailty after controlling for effects of other lifestyle factors and sociodemographic characteristics of the participants (age, gender, marital status, education, income). Effects of physical activity on total and physical frailty were up to considerable, whereas the effects of other lifestyle factors on frailty were small. Conclusions The four lifestyle factors were not only associated with physical frailty but also with psychological and social frailty. The different associations of frailty domains with lifestyle factors emphasize the importance of assessing frailty broadly and thus to pay attention to the multidimensional nature of this concept. The findings offer healthcare professionals starting points for interventions with the purpose to prevent or delay the onset of frailty, so community-dwelling older people have the possibility to aging in place accompanied by a good quality of life.

The SINgapore GERiatric Intervention Study to Reduce Cognitive Decline and Physical Frailty (SINGER): Study Design and Protocol

Background: The SINgapore GERiatric intervention study to reduce cognitive decline and physical frailty (SINGER) randomised controlled trial (RCT) uses a multidomain lifestyle interventions approach, shown to be effective by the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) trial, to delay cognitive decline. Objective: To investigate the efficacy and safety of the SINGER multidomain lifestyle interventions in older adults at risk for dementia to delay cognitive decline. Participants: 1200 participants between 60-77 years old, with Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) dementia risk score ≥6, fulfilling at least one of the following LIBRA index for diet, cognitive activity, physical activity and a Montreal Cognitive Assessment (MoCA) score ≥18, ≤27 points, will be recruited across Singapore. Methods: SINGER is a 2-year multi-site RCT consisting of multidomain interventions: dietary advice, exercise, cognitive training, and vascular risk factors management. Participants will be randomised into either the Self-Guided Intervention (SGI; general lifestyle and health information and resources) or Structured Lifestyle Intervention (SLI) group. The SLI comprises diet training (6 group and 3 individual sessions over 12 months); exercise (supervised: 1-hour twice weekly for 6 months, unsupervised: 2-3/week for the rest of the study duration); cognitive sessions (15-30 minutes/session, 3/week for 6 months, together with 10 workshops in 24 months). Vascular management takes place every 3-6 months or otherwise as specified by study physicians. The primary outcome is global cognition measured using the modified Neuropsychological Battery assessing performance in various domains, such as episodic memory, executive function and processing speed. Secondary outcome measures include: domain-specific cognition and function, imaging evidence of brain and retinal changes, incidence and progression of chronic diseases, blood biomarkers, quality of life, mental health and cost-benefit analysis. Conclusions: SINGER is part of the Worldwide-FINGERS international network, which is at the forefront of harmonizing approaches to effective non-pharmacological interventions in delaying cognitive decline in older adults at risk of dementia. By establishing the efficacy of multidomain interventions in preventing cognitive decline, SINGER aims to implement the findings into public health and clinical practices by informing policy makers, and guiding the design of community- and individual-level health promotion initiatives.

Oral Functions Are Associated with Muscle Strength and Physical Performance in Old-Old Japanese

Grip strength and walking speed are considered to be important indicators of physical frailty. However, no study has contemporaneously examined any association of multiple oral functions with grip strength and walking speed. The purpose of this study was to examine which oral functions are associated with muscle strength (grip strength), physical performance (walking speed) or both. The study participants were 511 community-dwelling people (254 men and 257 women) aged 77–81 years old. Six oral functions—oral wetness, occlusal force, tongue-lip motor function, tongue pressure, masticatory performance and swallowing function—were measured. Grip strength and walking speed were also measured. A partial correlation analysis, adjusted for gender, showed that occlusal force, tongue-lip motor function, masticatory performance and swallowing function were significantly associated with both grip strength and walking speed. In addition, tongue pressure was significantly associated with grip strength. A general linear model showed that tongue pressure and occlusal force were significantly associated with grip strength. Swallowing function and tongue-lip motor function were significantly associated with walking speed. It is suggested that there are different oral function measures for muscle strength and physical performance, and these oral function measures could be a useful proxy for physical frailty.