Prefrailty In Older Adults Research Articles

Impact of tailored message notifications for frailty prevention in older adults: a quasi-randomized controlled study using a regression discontinuity design.

[Purpose] This study investigated the potential of tailored message notifications based on municipal health check-up results to improve pre-frailty and frailty in older adults. [Participants and Methods] This study was conducted in Iiyama City, Nagano Prefecture, Japan, by using the Kihon Checklist to assess the health status of older adults. Since 2019, Iiyama City has sent notifications to individuals with pre-frailty (Kihon Checklist score: 4-7) and frailty (Kihon Checklist score: ≥8). A regression discontinuity design was used to estimate the effects of the intervention by comparing the groups with scores just above and below the cutoff points. Data from 6,382 individuals aged ≥65 years from 2019 to 2022 were analyzed. [Results] The intervention slightly improved the Kihon Checklist scores in the pre-frailty group. No statistically significant effects were observed in the frailty group or after multiple imputations for missing data. [Conclusion] The findings suggest that tailored message notifications can improve frailty prevention among pre-frail older adults. However, the limited frequency and content of these messages may have reduced their effectiveness. Therefore, more frequent and targeted messages are needed to address the needs of frail individuals.

The reliability and suitability of strength assessments in frail and pre-frail older adults: recommendations for strength testing in older populations

BackgroundLifelong strength is fundamental to physical function, health, and quality of life. Reliable appropriate strength assessment measures for older adults play an important role in effective evaluation of baseline ability and exercise prescription to counter disease and disuse. This study aimed to investigate the within-session reliability of maximal isometric knee extension and flexion, hip abduction and adduction, and handgrip strength measures in frail and pre-frail older adults.MethodThe study was conducted at a residential care home in Birmingham, UK. All care home residents aged ≥ 65 years; pre-frail or frail according to the Fried Frailty phenotype criteria; able to speak and read English; not currently involved in any other clinical trial; without severe sensory impairments; and with a predicted life expectancy greater than the trial length were eligible. Maximal isometric lower limb testing was performed using specialised resistance training equipment and a portable measurement device, and grip strength was assessed using a portable dynamometer. All eligible participants attended a single testing session and performed three trials per measure. Peak force measures were obtained for analysis. Within-session reliability for each measure was calculated from repeated-measures analysis of variance, intraclass correlation coefficients (ICC), and coefficients of variation (CV) with 95% confidence intervals.ResultsEleven frail and eleven pre-frail older adults participated in the study. Within-session absolute and relative measures were found to be reliable with the highest overall repeatability indicated between trial 2 and trial 3 for knee extension, hip abduction, and handgrip (CV ≤ 4.65%, ICC ≥ 0.96) with variation evident across all measures, except knee extension, from trial 1 to 2.ConclusionsOverall, maximal isometric strength in frail and pre-frail older adults with no previous testing experience can be measured with good to high reliability within their first testing session. An initial two familiarisation trials followed by two measurement trials is recommended to achieve the highest level of overall repeatability.Trial registrationThe trial was registered with ClinicalTrials.gov: NCT03141879 on 05/05/2017.

Risk factors for oral frailty among community-dwelling pre-frail older adults in Japan: A cross-sectional analysis.

Oral frailty is a well-established risk factor for frailty and plays a significant role in progression to frailty. However, the association between oral frailty and pre-frailty in elderly individuals remains unclear. This cross-sectional study aimed to clarify the characteristics and risk factors of pre-frailty in elderly individuals with oral frailty. A total of 377 elderly individuals participated. Oral examinations comprised simple and non-invasive measures of chewing function, self-reported swallowing function, and oral moisture. The frailty screening index was used to assess frailty phenotypes. The overall prevalence of pre-frailty was 63.1%, after excluding 40 frail and 99 robust individuals. The mean age of the pre-frail participants was 76.6 ± 5.8 years; 70.6% were women. 10.5% of the pre-frail elderly participants had oral frailty. In multivariate analysis diabetes mellitus, history of cancer, denture wearing, and malnutrition were independently associated with oral frailty among pre-frail elderly individuals (adjusted odds ratio (OR) 3.8, 95% confidence interval (CI) 1.06-13.54; OR 4.5, CI 1.32-15.36; OR 8.8, CI 1.76-43.78; and OR 3.6, CI 1.30-9.67; respectively). The prevalence of oral frailty was low among community-dwelling pre-frail elderly individuals. Early interventions involving oral, nutritional, and disease management may prevent or improve oral frailty in pre-frail elderly individuals and may prevent progression to frailty. Further studies are required to elucidate the underlying mechanisms.

Prevalence of frailty in Indonesia: a systematic review and meta-analysis

BackgroundFrailty increases the risks of hospitalization, injury, fall, psychological disorders, and death in older adults. Accurate estimation of the prevalence of frailty is crucial for promoting health in these individuals. Therefore, this study was conducted to estimate the prevalence of frailty and prefrailty in older adults residing in Indonesia.MethodsIn accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, six electronic databases were searched (without any language restriction) for relevant articles from inception to February 2023. Studies on the prevalence of frailty and prefrailty in older adults (age ≥ 60 years) residing in Indonesia were included in the analysis. A random-effects model was selected a priori because of the expected high degree of heterogeneity in the study, followed by sensitivity analysis, subgroup analysis, and meta-regression. The protocol of this review study was registered in the PROSPERO database (CRD42022381132).ResultsA total of 79 studies were identified, of which 20 were finally included in the analysis. The pooled prevalence of frailty and prefrailty in older adults in Indonesia was 26.8% and 55.5%, respectively. The pooled prevalence of frailty and prefrailty was 37.9% and 44.8% in nursing homes, 26.3% and 61.4% in hospitals, and 21.1% and 59.6% in community settings, respectively. Furthermore, the pooled prevalence of frailty and prefrailty was 21.6% and 64.3%, 18.7% and 62%, and 27.8% and 59.8% in studies using the Frailty Index-40, FRAIL, and Fried Frailty Phenotype questionnaires, respectively. However, the parameters did not vary significantly across measurement tools or study settings. Publication bias was not detected while the year of data collection influenced the heterogeneity between the studies.ConclusionsTo the best of our knowledge, this study is the first meta-analysis to report the prevalence of frailty and prefrailty in older adults residing in Indonesia. The gradual increase in the number of older adults with frailty or prefrailty in Indonesia is concerning. Therefore, the government, private sectors, health-care professionals, and the community must jointly design effective strategies and policies to address this problem.

Association between different skeletal muscle mass indices, physical function, and inflammation in obese pre-frail older adults

ObjectivesThere is lack of consensus on measurement of muscle mass and quality in obese older adults. We aim to evaluate the association of four muscle mass indices (appendicular skeletal muscle mass (ASM) over height2(ASMIht), ASM/weight (ASMwt), ASM/body fat percentage (ASMbfp)and ASM/body mass index (BMI) ASMIbmi) with physical function and inflammation in pre-frail obese older adults. MethodsCross-sectional study of 407 community dwelling pre-frail older adults. Data on demographics, cognition, and physical function(gait speed, handgrip strength (HGS) and Short Physical Performance Battery (SPPB) test), body composition and inflammation biomarkers were collected. Participants were analysed based on BMI tertiles(T1 lowest,T3 highest). ResultsThe mean age was 72.67 years, mean BMI 25.42 kg/m2 and 59.5 % were females. Participants in T3 had a mean BMI of 30.75 kg/m2, younger with lower education levels, multimorbidity, polypharmacy and lower prevalence of sarcopenia. In BMI T3, ASMIbmi was significantly associated with EQ-5D index (β 0.53, 95 % CI 0.04 to 1.03, p = 0.033),HGS (β 5.28, 95 % CI 0.27 to 10.29, p = 0.039), SPPB (β 2.19, 95 % CI 0.47 to 3.91, p = 0.013) and IL-6 (β -4.13, 95 % CI -7.46 to -0.81, p = 0.017). ASMIwt was associated with EQ-5D index (β 0.17, 95 % CI 0.02 – 0.33, p = 0.047). ASMbfp was associated with HGS (β 6.97, 95 % CI 0.051 to 13.92, p = 0.049). There was significant association of HGS with all muscle mass indices in BMI T2, and ASMbfpin BMI T1. ConclusionASMIbmi was significantly associated with SPPB, HGS, EQ-5D index and IL-6 in BMI T3. ASMbfp was associated with HGS in all the tertiles. Our results need further validation at population level.

Mobility and strength training with and without protein supplements for pre-frail or frail older adults with low protein intake: the Maximising Mobility and Strength Training (MMoST) feasibility randomised controlled trial protocol

Background Frailty is a common syndrome affecting older people and puts them at risk of hospitalisation, needing care or death. First signs of frailty include reduced muscle strength and mobility decline. A key cause of mobility decline as we age is sarcopenia (age related reduction in muscle strength and mass). Poor nutrition contributes to sarcopenia. A shortfall in protein is associated with reduced muscle mass and strength. This may be due to inadequate intake but also because older people have higher protein needs, especially those with multimorbidity. We need to develop effective treatment to reduce or slow the onset of frailty and mobility decline. Exercise is a recommended treatment. Protein supplements to address the shortfall in protein have the potential to enhance the benefit of regular exercise in frail or pre-frail older adults. This has yet to be definitively demonstrated. Aim To establish the feasibility of conducting an RCT evaluating mobility and strength training with or without protein supplements for people over 60 years old who are frail or pre-frail with a low protein intake. Methods A multicentre, parallel, 2-group, feasibility RCT. Participants (recruitment target = 50) with problems walking, low protein intake and classified as frail or pre-frail will be recruited from four NHS Physiotherapy community services. Participants will be randomised (secure computer-generated: 1:1) to receive 24 weeks of mobility and strength training (delivered in 16 group sessions plus home exercises) or 24 weeks of mobility and strength training with daily protein supplements. Primary feasibility objectives are to estimate 1) ability to screen and recruit eligible participants, 2) intervention fidelity, adherence, and tolerance and 3) retention of participants at follow up. Secondary objectives are to 1) test data collection procedures, 2) assess data completeness and 3) confirm sample size calculation for a definitive RCT. Registration ISRCTN Registry (ISRCTN30405954; 18/10/2022).

Frail and Pre-Frail Older Adults with Acute Myeloid Leukemia Have Inferior Survival Due to Higher Rates of Disease-Related Deaths

Introduction: The intensity of initial remission-inducing therapy for patients with newly diagnosed acute myeloid leukemia (AML) may be high (anthracycline and cytarabine-based), intermediate (venetoclax combinations), or low (single hypomethylating agent or targeted therapy). In older adults, it is important to consider “fitness” when selecting initial therapy. Current methods to determine “fitness” in AML include subjective measures such as physician assessment (“clinician gestalt, CG”) semi-subjective measures such Eastern Cooperative Oncology Group (ECOG) or Karnofsky performance status (KPS), and those based on clinical comorbidity data like the hematopoietic cell transplantation-comorbidity index (HCT-CI). Geriatric assessments in older adults with cancer may improve therapy selection and decision-making, but whether unfit patients have better outcomes with lower intensity compared to higher intensity therapies is unknown. Freid's Frailty Phenotype (FP) combines subjective (self-reported exhaustion, weight loss >5%, activity level) and objective (4-meter walk speed and grip strength) measures to categorize patients into fit, pre-frail, and frail. We hypothesized that being frail by FP is associated with higher overall mortality (OM) and inferior overall survival (OS) and may inform decision-making for older adults. Methods: Eighty-fivepatients 60 years or older admitted to the Hospital of the University of Pennsylvania at the time of AML diagnosis or electively admitted for AML chemotherapy initiation were prospectively enrolled from September, 2018 to May, 2023 on an IRB approved study. FP, HCT-CI, KPS, ECOG, gait speed, and recorded CG (fit or unfit) were performed prior to initiation of disease-directed therapy. Results: Themedian age of the cohort was 71 (range60-91). Patients in our cohort had high-risk disease features: 64% were adverse risk by European LeukemiaNet (ELN) 2017 with 73% of patients harboring mutations associated with clonal hematopoiesis of indeterminate potential (CHIP) (Table 1). 39% of patients received IC, 52% received HMA/ven, 6% received HMA alone or targeted therapy, and 2% received best supportive care. By FP, 18% of patients were fit, 38% were pre-frail, and 45% were frail. Higher ECOG, KPS, CG, and HCT-CI were associated with frail phenotypes (Table 1). For the entire population, 60-day and 100-day OM rates were 18% and 33%, respectively. For fit, pre-frail, and frail patients 60-day OM was 7%, 13%, and 24% and 100-day OM was 13%, 22%, and 42%, respectively. Two-year OS was 65% for patients aged 60-69 years old and 15% for patients ≥70 years old (p=0.002). FP was significantly associated with OS (Figure 1; p=0.0474): 2-year OS was 57%, 42%, and 21% in fit, pre-frail, and frail patients, respectively. Of the individual components of FP, self-reported exhaustion and slower gait speed were both associated with inferior OS (p=0.0015 and p=0.0005). Neither activity level, (p=.0864), weight loss (p=0.1988), or grip strength (p= 0.7136) were associated with OS. Of the total population 19% went on to hematopoietic cell transplant (HCT) with 8% of frail patients receiving HCT compared to 27% of fit and 28% of pre-frail patients. ECOG, HCT-CI, CG, and gait speed ≤8 meters/sec were all significantly associated with OS, but KPS was not. The 6-month OS for frail patients receiving IC was 75% compared with 49.7% for those receiving HMA/Ven, although not significant due to small sample size. Cause of death was leukemia-related for 40% of fit patients, 76% of pre-frail patients, 77% of frail patients. Conclusions: FP was associated with a doubling of early mortality and inferior 2-year OS. Pre-frail and frail patients had increased disease-related deaths. This work supports that most geriatric assessments, including FP and clinician intuition, can be utilized to risk-stratify newly diagnosed older adults with AML. Future work is needed to evaluate whether we can integrate geriatric assessments, such as individual components of FP or gait speed, with molecular features to improve risk stratification of older adults with AML. Given frailty's association with disease-related deaths, further study is warranted to determine whether this is due to adverse disease biology or whether frail patients are undertreated.

Are DOSE-RESPONSE RELATIONSHIPS OF RESISTANCE TRAINING reliable TO IMPROVE FUNCTIONAL PERFORMANCE IN FRAIL AND PRE-FRAIL OLDER ADULTS? A SYSTEMATIC REVIEW WITH META-ANALYSIS AND META-REGRESSION of randomized controlled trials.

This systematic review with meta-analyses investigates the impact of resistance training (RT), using meta-regressions, on functional performance in frail and pre-frail adults aged ≥ 65 years to determine the key variables of RT. Ten randomized controlled trials involving 1303 participants were analyzed. Five studies assessed habitual walking speed (HWS), three studies evaluated performance in the timed-up-and-go test (TUG), three studies evaluated performance in the Short Physical Performance Battery (SPPB), and three studies assessed performance in the sit-to-stand test (STS). RT alone improved STS time and SPPB scores in frail and pre-frail older adults. RT improved STS performance (Effect Size (ES):-0.536; 95% CI -0.874 to -0.199; p=.002) and led to a 2.261-point increase in SPPB performance (ES:1.682; 95% CI 0.579 to 2.786; p=.003). At least two weekly training sessions are required to increase SPPB scores, and three sessions seem to optimize the improvements. Higher training volume per exercise and volume per session reduce the gains in SPPB performance. We did not observe any association between different doses of RT and STS time improvements. RT alone positively influenced TUG performance only in community-dwelling older frail and pre-frail adults but not in institutionalized older individuals. RT alone did not improve the HWS compared to the non-active control group.

Sociodemographic and Health Indicators of Diet Quality in Pre-Frail Older Adults in New Zealand.

We collected detailed dietary intake from pre-frail (FRAIL scale 1-2) older adults using NZ Intake24, an online version of 24 h multiple pass dietary recall. Diet quality was ascertained with the Diet Quality Index-International (DQI-I). We used regression generalized linear models to determine predictors of diet quality as well as classification and regression tree (CART) analysis to examine the complex relationships between predictors and identified profiles of sub-groups of older adults that predict diet quality. The median age in this sample (n = 468) was 80.0 years (77.0-84.0). Living with others, a high deprivation index and a higher BMI were independent predictors of poorer diet quality. With CART analysis, we found that those with a BMI > 29 kg/m2, living with others and younger than 80 years were likely to have a lower diet quality. We found that BMI, living arrangement and socioeconomic status were independent predictors of diet quality in pre-frail older adults, with BMI being the most important variable in this sample when the interaction of these variables was considered. Future research is needed to determine the similarities and/or differences in the profile of subgroups of older adults with poorer diet quality.

Acceptability of physical activity signposting for pre-frail older adults: a qualitative study to inform intervention development

Frailty is a medical condition common in older adults characterised by diminished strength and reduced physiologic function in which individuals are more vulnerable to multiple adverse health outcomes. Pre-frailty is an intermediate stage associated with some minor health outcomes. However, the main risk is progression toward moderate/severe frailty. Evidence shows physical activity interventions to be effective in slowing or modifying the progression of frailty. Researchers at the University of Manchester are developing a behaviour change intervention targeting pre-frail older adults, signposting them to group-based physical activity classes known to be effective for delaying/slowing frailty. This paper reports on the initial intervention development work with key stakeholders exploring the practicality of taking forward this intervention and identifying uncertainties to be explored in the feasibility stage. These included issues around physical activity messaging, the use of the term ‘frail’, identification/recruitment of pre-frail older adults, and the acceptability of behaviour change techniques. There was overwhelming support for a proactive approach to addressing pre-frailty issues. Given that a large proportion of older adults are estimated to be pre-frail, interventions aimed at this group have the potential to support healthy ageing, positively impacting on frailty outcomes and providing wider population health benefits.

Health factors associated with cognitive frailty in older adults living in the community.

This study aims to investigate the health factors associated with cognitive frailty in frail and pre-frail older adults living in the community. A total of 233 older adults meeting Fried's criteria for pre-frailty or frailty were included. Cognitive status was evaluated using the Short Portable Mental Status Questionnaire. Health factors encompassed nutritional status (evaluated using the Mini Nutritional Assessment tool, body mass index, and waist, arm, and leg circumferences), physical function (assessed with the Short Physical Performance Battery), quality of life (measured with the total index of the EuroQoL 5-Dimension 5-Level questionnaire - EQoL-Index -, and the Visual-Analogue Scale - QoL-VAS - for today's health state), as well as sleep, physical activity, and inactivity estimated through wrist-worn accelerometers. Multivariable logistic regression analyses were conducted to identify potential predictors of cognitive frailty, considering age as a confounding factor. Cognitive frail participants exhibited advanced age, heightened self-reported exhaustion, diminished overall physical performance, reduced leg perimeter, decreased engagement in moderate-to-vigorous physical activity, and higher levels of inactivity (all p<0.05). However, after adjusting for age, only QoL-VAS emerged as a cognitive frailty risk factor (Odds ratio: 1.024), while the EQoL-Index, calf perimeter, and levels of moderate-to-vigorous physical activity were identified as protective factors (Odds ratios: 0.025, 0.929, and 0.973, respectively). This study highlights the complex relationship between non-modifiable factors such as age, and modifiable factors including quality of life, nutritional status, and physical activity in the development of cognitive frailty among older adults with a frailty phenotype living in the community.

Impact of exercise and leucine-enriched protein supplementation on physical function, body composition, and inflammation in pre-frail older adults: a quasi-experimental study.

Exercise and a protein-enriched diet are essential for muscle protein synthesis, cellular growth, mitochondrial function, and immune function. The U.S. Food and Nutrition Board's current guideline on recommended dietary allowance for protein in older adults is 0.8 g/kg per day, which may not be sufficient in vulnerable pre-frail older adults. This study aimed to evaluate the impact of leucine-enriched protein supplementation with or without exercise over 3 months in pre-frail older adults who consumed ≤1 g/kg/day of protein on improving (i) physical function, (ii) body composition measures, and (iii) inflammatory biomarkers such as interleukin-6 (IL-6) and tumor necrosis factor alpha (TNF-α). A non-randomized cluster quasi-experimental study guided by the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist of 178 pre-frail older adults [112 control, 44 nutrition (Nu), and 22 in the nutrition with exercise (Nu+Ex) group] comparing the effect of Nu+Ex and Nu on physical function, body composition, and inflammation. At 0, 3, and 6 months, questionnaires on demographics, depression, perceived health, and cognition were administered. Physical function assessment (short physical performance battery [SPPB] test, gait speed, handgrip strength, 5× sit-to-stand [STS]) was conducted, and body composition analysis was performed using a bioelectrical impedance analysis machine. IL-6 and TNF-α were measured at 0 and 3 months. At 3 months, there were significant improvements in gait speed, 5× STS, SPPB scores, depression, perceived health, fat-free mass, and appendicular skeletal muscle mass indices in the Nu+Ex group. Both Nu+Ex and Nu groups had improvements in body cell mass and reductions in IL-6 and TNF-α. The improvements were not sustained after 6 months. Our study results need to be validated in future longitudinal randomized studies with a larger sample size focusing on populations at risk.

Development and evaluation of a problem-based learning simulation module for home-visit nursing.

Although home-visit healthcare programs in Korea are expected to expand, providing hands-on experience to nursing students may be limited. This study aimed to develop and evaluate a problem-based learning (PBL) simulation module that reflects home-visit healthcare services provided by public health centers for pre-frail older adults. The simulation module, including PBL as prebriefing, was developed by the researchers and revised based on expert reviews. The module was evaluated using a mixed-method embedded one-group post-test-only design with focus group interviews (FGIs). Quantitative data (n=29) were collected between April and June, 2021. FGIs (n=10) were conducted twice in June 2021, and qualitative data were analyzed using an inductive content analysis approach. The average score of the Simulation Design Scale was 4.67±0.36. The overall mean score of the Educational Practices Questionnaire was 4.75±0.37. Three themes emerged from the FGIs: immersive learning experience, changes in perspective on nursing, and enhanced nursing competency. This PBL-based simulation module was evaluated as a systematic learning process in which nursing students could become self-directed learners, interacting and collaborating with colleagues, instructors, and environments. The module encourages them to practice home visit services.

Prediction of adverse health outcomes using an electronic frailty index among nonfrail and prefrail community elders

BackgroundEarly recognition of older people at risk of undesirable clinical outcomes is vital in preventing future disabling conditions. Here, we report the prognostic performance of an electronic frailty index (eFI) in comparison with traditional tools among nonfrail and prefrail community-dwelling older adults. The study is to investigate the predictive utility of a deficit-accumulation eFI in community elders without overt frailty.MethodsParticipants aged 65–80 years with a Clinical Frailty Scale of 1–3 points were recruited and followed for 2 years. The eFI score and Fried’s frailty scale were determined by using a semiautomated platform of self-reported questionnaires and objective measurements which yielded cumulative deficits and physical phenotypes from 80 items of risk variables. Kaplan–Meier method and Cox proportional hazards regression were used to analyze the severity of frailty in relation to adverse outcomes of falls, emergency room (ER) visits and hospitalizations during 2 years’ follow-up.ResultsA total of 427 older adults were evaluated and dichotomized by the median FI score. Two hundred and sixty (60.9%) and 167 (39.1%) elders were stratified into the low- (eFI ≤ 0.075) and the high-risk (eFI > 0.075) groups, respectively. During the follow-up, 77 (47.0%) individuals developed adverse events in the high-risk group, compared with 79 (30.5%) in the low-risk group (x2, p = 0.0006). In multivariable models adjusted for age and sex, the increased risk of all three events combined in the high- vs. low-risk group remained significant (adjusted hazard ratio (aHR) = 3.08, 95% confidence interval (CI): 1.87–5.07). For individual adverse event, the aHRs were 2.20 (CI: 1.44–3.36) for falls; 1.67 (CI: 1.03–2.70) for ER visits; and 2.84 (CI: 1.73–4.67) for hospitalizations. Compared with the traditional tools, the eFI stratification (high- vs. low-risk) showed better predictive performance than either CFS rating (managing well vs. fit to very fit; not discriminative in hospitalizations) or Fried’s scale (prefrail to frail vs. nonfrail; not discriminative in ER visits).ConclusionThe eFI system is a useful frailty tool which effectively predicts the risk of adverse healthcare outcomes in nonfrail and/or prefrail older adults over a period of 2 years.

Exercise snacking to improve physical function in pre-frail older adult memory clinic patients: a 28-day pilot study

BackgroundFinding innovative yet feasible ways of preventing physical and cognitive decline in those at risk is a critical global challenge, with exercise being championed as a key precursor to robust health in later life. Exercise snacking, here defined as short bouts of sporadic [muscle-strengthening] exercise, is one such strategy designed to overcome typical participation barriers observed in older adults. This study examined the acceptability of exercise snacking amongst pre-frail older adults and explored the efficacy of this approach in improving physical function.MethodsIn this single group design, 21 pre-frail outpatients with mild-cognitive impairment were recruited from a UK memory clinic. To be eligible, participants were aged ≥ 65-years who scored 3–8 (inclusive) on the short physical performance battery (SPPB) and were not regularly engaging in sport or exercise. Participants completed a 28-day, twice daily, exercise snacking intervention, consisting of five muscle-strengthening exercises, with the aim being to complete as many repetitions as possible of each exercise in a minute. Acceptability of the intervention was measured quantitatively and qualitatively using a survey and topic guide informed by the Theoretical Framework of Acceptability. Pre- and post-intervention physical function was measured using the SPPB, timed up-and-go (TUG), and 60s standing balance and sit-to-stand tests.ResultsEighteen participants provided follow-up data and showed 85% adherence to the exercise snacking intervention, measured as the proportion of all sessions completed out of a possible 56. Participants rated the intervention as highly acceptable (4.6/5) suggesting it supported their self-efficacy (4.3/5) was enjoyable (4.1/5) and had a low burden (2.1/5). Qualitative findings suggested the ease of use, flexibility of the programme, and perceived effectiveness was important, and particularly useful for non-exercisers. Changes in SPPB score (8(1) vs. 9(3), p < 0.01), TUG (11.32(4.02) vs. 9.18(5.25) seconds, p < 0.01) and in the 60-second sit-to-stand test (17 ± 5 vs. 23 ± 7 repetitions, p < 0.01) were seen between baseline and follow-up.ConclusionsExercise snacking is an acceptable and potentially efficacious format of exercise for pre-frail memory clinic attendees who are at heightened risk of falling and frailty. Large scale randomised controlled trials are required to confirm whether exercise snacking is effective in the short and long term.ClinicalTrials.gov registrationNCT05439252 (30/06/2022)

Prevalence and factors associated with frailty and pre-frailty in the older adults in China: a national cross-sectional study.

Frailty increases poor clinical outcomes in older adults, the aim of this study was to investigate the prevalence and factors associated with frailty and pre-frailty in older adults in China. Data were obtained from the Sample Survey of the Aged Population in Urban and Rural China in 2015, which was a cross-sectional study involving a nationally representative sample of older adults aged 60 years or older from 31 provinces/autonomous regions/municipalities in mainland China. The frailty index (FI) based on 33 potential deficits was used to classify individuals as robust (FI < 0.12), pre-frail (FI ≧0.12 and <0.25) and frail (FI ≥0.25). A total of 208,386 older people were included in the study, and the age-sex standardised prevalence of frailty and pre-frailty among older adults in China was 9.5% (95% CI 9.4-9.7) and 46.1% (45.9-46.3) respectively. The prevalence of frailty and pre-frailty was higher in female than in male older adults, higher in rural than in urban older adults, and higher in northern China than in southern China. The multinomial analysis revealed similar risk factors for frailty and pre-frailty, including increased age, being female, living in a rural area, low educational attainment, poor marital status, living alone, difficult financial status, poor access to medical reimbursement, and living in northern China. Frailty and pre-frailty are very common among older adults in China and differ significantly between southern and northern China, men and women, and rural and urban areas. Appropriate public health prevention strategies should be developed based on identified risk factors in frail and pre-frail populations. The management of frailty and pre-frailty should be optimised according to regional and gender differences in prevalence and associated factors, such as strengthening the integrated management of chronic diseases, increasing reimbursement rates for medical costs, and focusing on vulnerable groups such as the disabled, economically disadvantaged, living alone and those with low literacy levels, in order to reduce the burden of frailty among older adults in China.

Cerebral Cortex Activation and Gait Performance between Healthy and Prefrail Older Adults during Cognitive and Walking Tasks.

Pre-frailty is a transitional stage between health and frailty. Previous studies have demonstrated that individuals with pre-frailty experience declines in cognitive and gait performances compared with healthy individuals. However, the basic neural mechanism underlying this needs to be clarified. In this cross-sectional study, twenty-one healthy older adults and fifteen with pre-frailty underwent three conditions, including a single cognitive task (SC), single walking task (SW), and dual-task (DT), while cortical hemodynamic reactions were measured using functional near-infrared spectroscopy (fNIRS). The prefrail group (PG) showed a significantly lower activation of the left dorsolateral prefrontal cortex (L-DLPFC) than the healthy group (HG) when performing SC (p < 0.05). The PG showed a significantly lower Timed Up and Go test and step speed than the HG during SW (p < 0.05). The coefficient of variation (CV) of the step length of the PG was significantly higher than that of the HG when performing DT (p < 0.05). No significant correlation in cerebral cortex activation and gait parameters in the HG when performing SW and DT was noted (p > 0.05). Participants of the PG with a higher oxygenated area in the left anterior prefrontal cortex (L-APFC) had a lower step frequency during SW (r = -0.533, p = 0.041), and so did the following indicators of the PG during DT: L-APFC and step speed (r = -0.557, p = 0.031); right anterior prefrontal cortex and step speed (r = -0.610, p = 0.016); left motor cortex and step speed (r = -0.674, p = 0.006); step frequency (r = -0.656, p = 0.008); and step length (r = -0.535, p = 0.040). The negative correlations between the cerebral cortex and gait parameters of the PG indicated a neural compensatory effect of pre-frailty. Therefore, older adults with pre-frailty promote prefrontal activation to compensate for the impaired sensorimotor systems.

Prevalence of frailty and pre-frailty and related factors in older adults with cardio-cerebral vascular disease in China: a national cross-sectional study.

Frailty increases adverse clinical outcomes in older patients with cardio-cerebral vascular disease (CCVD). The aim of this study was to investigate the prevalence of frailty and pre-frailty in older adults with CCVD in China and the factors associated with it. In this cross-sectional study, we used data from the fourth Sample Survey of Aged Population in Urban and Rural China. We used the frailty index for frailty and pre-frailty assessment, and the diagnosis of CCVD in older adults was self-reported. A total of 53,668 older patients with CCVD were enrolled in the study. The age-standardized prevalence of frailty and pre-frailty in older patients with CCVD was 22.6% (95% CI 22.3-23.0%) and 60.1% (95% CI 59.7-60.5%). Multinomial logistic regression analyses showed that being female, increasing age, rural residence, illiteracy, widowhood, ethnic minority, living alone, no health screening during the last year, hospitalization during the last year, difficult financial status, comorbid chronic conditions, and disability in activities of daily living were associated with frailty and pre-frailty in older patients with CCVD. CCVD is strongly associated with frailty and pre-frailty in older Chinese people, and assessment of frailty should become routine in the management of older CCVD patients. Appropriate public health prevention strategies should be developed based on identified risk factors for frailty in older CCVD patients, which can help prevent, ameliorate or reverse the development of frailty in CCVD in the older population.

Association of Motoric Cognitive Risk Syndrome with Sarcopenia and Systemic Inflammation in Pre-Frail Older Adults.

Motoric cognitive risk syndrome (MCR) is defined by the presence of slow gait and subjective cognitive decline. It is well recognized as a prodrome for dementia, but the biological mechanism and trajectory for MCR are still lacking. The objective of this study was to explore the association of MCR with body composition, including sarcopenia and systemic inflammation, in pre-frail older adults in a cross-sectional study of 397 pre-frail community-dwelling older adults. Data on demographics, physical function, frailty, cognition (Montreal Cognitive Assessment (MoCA)), perceived health and depression were collected. Body composition was measured using a bioelectrical impedance analyzer. Systemic inflammatory biomarkers, such as progranulin, growth differentiation factor-15 (GDF-15), interleukin-10 (IL-10), interleukin-6 and tumor necrosis factor-α (TNF-α), were collected. Univariate and multivariate logistic regression were used to analyze the association between MCR, body composition, sarcopenia and systemic inflammatory biomarkers. The prevalence of MCR was 14.9%. They were significantly older and there were more females, depression, functional impairment, lower education, physical activity and MoCA scores. Body fat percentage (BF%), fat mass index, fat to fat free mass ratio (FM/FFM) and sarcopenia prevalence were significantly higher in MCR. Serum GDF-15 and TNF-α levels were highest with progranulin/TNF-α and IL-10/TNF-α ratio lowest in MCR. Compared to healthy patients, MCR was significantly associated with sarcopenia (aOR 2.62; 95% CI 1.46-3.17), BF% (aOR 1.06; 95% CI 1.01-1.12), FMI (aOR 1.16; 95% CI 1.02-1.30) and FM/FFM (aOR 6.38; 95% CI 1.20-33.98). The association of IL-10 to TNF-α ratio (aOR 0.98, 95% CI 0.97-0.99) and IL-10 (aOR 2.22, 95% CI 0.05-0.98) with MCR were independent of sarcopenia and BF%. Longitudinal population studies are needed to understand the role of body fat indices and IL-10 in pre-frail older adults with MCR and trajectory to dementia.

Use of factor analysis to model relationships between bone mass and physical, dietary, and metabolic factors in frail and pre-frail older adults.

Bone mass and quality declines with age, and can culminate in osteoporosis and increased fracture risk. This investigation modelled associations between bone and physical, dietary, and metabolic factors in a group of 200 pre-frail/frail older adults using factor analysis and structural equation modelling (SEM). Exploratory (EFA) and confirmatory factor analysis (CFA) were conducted to compose factors and to assess their robustness. SEM was used to quantify associations between bone and the other factors. Factors arising from EFA and CFA were: Bone (whole body, lumbar and femur bone mineral density and trabecular bone score; good fit), Body composition-lean (lean mass, body mass, vastus lateralis and femoral cross-sectional area; good fit), Body composition-fat (total fat mass, gynoid, android and visceral fat; acceptable fit), Strength (bench and leg press, handgrip and knee extension peak torque; good fit), Dietary intake (kilocalories, carbohydrate, protein and fat; acceptable fit), and metabolic status (cortisol, IGF1, GH and free testosterone; poor fit). SEM using isolated factors showed that body composition (lean) (β=0.66, p<0.001), body composition (fat) (β=0.36, p<0.001) and strength (β=0.74, p<0.001) positively associated with bone. Dietary intake relative to body mass negatively associated with bone (β=-0.28, p=0.001), whereas in absolute terms it showed no association (β=0.01, p=0.911). In a multivariable model, only strength (β=0.38, p=0.023) and body composition (lean) (β=0.34, p=0.045) associated with bone. Resistance training programs that focus on improving lean mass and strength in older individuals may benefit bone in this population.