The Association Between Habitual Tea Consumption and Frailty Transition in Community-Dwelling Older Adults: A Prospective Cohort Study.

OBJECTIVES: To investigate the association between habitual tea consumption and transitions between frailty states among older adults in China. DESIGN: A prospective cohort study based on the Chinese Longitudinal Healthy Longevity Study. SETTING AND PARTICIPANTS: A total of 23,720 older adults aged ≥65 years with complete data regarding frailty status and tea consumption were recruited. METHODS: The frequency and consistency of tea consumption were introduced to evaluate levels of tea consumption. The frailty index was used to define frailty status (frail and nonfrail). Frailty transition was classified into remaining nonfrail, improvement, worsening, and remaining frail groups. Logistic regression models were applied. RESULTS: The overall frailty prevalence at baseline was 19.1%, being lower among consistent daily tea drinkers (12.5%) and higher among non-tea drinkers (21.9%). Logistic regression analyses showed that the risk of frailty was significantly reduced among consistent daily tea drinkers after adjusting for all confounders [odds ratio (OR), 0.81; 95% CI, 0.67-0.98]. During the 3-year follow-up, improvement in frailty status was more common among consistent daily tea drinkers (50.9%) than non-tea drinkers (40.9%), and this trend was opposite in participants with worsened frailty status (consistent daily tea drinkers: 12.2%) vs non-tea drinkers: 19.2%). Further analysis showed that consistent daily tea drinkers were significantly associated with improvement in frailty status (OR, 3.24; 95% CI, 1.02-10.31) and remaining in a nonfrail state (OR, 1.35; 95% CI, 1.00-1.83). In addition, daily tea consumption was observed to be positively associated with remaining in a nonfrail state and inversely associated with worsened frailty status in men, but not in women. CONCLUSIONS AND IMPLICATIONS: Older people consuming tea daily tend to have an improved frailty status in the future. Men with daily tea consumption were less likely to have a worsened frailty status. Advocating for the traditional lifestyle of drinking tea could be a promising way to advance healthy aging for older adults.

Risk Factors of Progression to Cognitive Frailty: Singapore Longitudinal Ageing Study 2.

INTRODUCTION: Cognitive frailty is associated with higher risk of dementia and adverse health outcomes. However, multidimensional factors that influence cognitive frailty transitions are not known. We aimed to investigate risk factors of incident cognitive frailty. METHODS: Prospective cohort study participants were community-dwelling adults without dementia and other degenerative disorders and baseline and follow-up, including N = 1,054 participants aged ≥55 free of cognitive frailty at baseline, with complete baseline (March 6, 2009, to June 11, 2013) and follow-up data at 3-5 years later (January 16, 2013, to August 24, 2018). Incident cognitive frailty was defined by one or more criteria of the physical frailty phenotype and <26 of Mini-Mental State Examination (MMSE) score. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological and social factors, and biochemical markers. Data were analyzed using least absolute shrinkage selection operator (LASSO) multivariable logistic regression models. RESULTS: A total of 51 (4.8%) participants, including 21 (3.5%) of the cognitively normal and physically robust participants, 20 (4.7%) of the prefrail/frail only, and 10 (45.4%) of cognitively impaired only, transited to cognitive frailty at follow-up. Risk factors for transition to cognitive frailty were having eye problem (OR = 2.6, 95% CI 1.24-5.43) and low HDL cholesterol (OR = 4.1, 95% CI 2.03-8.40), while protective factors for cognitive frailty transition were higher levels of education (OR = 0.3, 95% CI 0.10-0.74) and participation in cognitive stimulating activities (OR = 0.4, 95% CI 0.17-0.82). CONCLUSION: Multi-domain modifiable factors especially related to leisure activities predict cognitive frailty transition and may be targeted for prevention of dementia and associated adverse health outcomes.

Healthcare Utilization and Costs According to Frailty Transitions After Two Years: A Korean Frailty and Aging Cohort Study.

BACKGROUND: Korea's aging population has raised several challenges, especially concerning healthcare costs. Consequently, this study evaluated the association of frailty transitions with healthcare utilization and costs for older adults aged 70 to 84. METHODS: This study linked the frailty status data of the Korean Frailty and Aging Cohort Study to the National Health Insurance Database. We included 2,291 participants who had frailty measured by Fried Frailty phenotype at baseline in 2016-2017 and follow-up in 2018-2019. We conducted a multivariate regression analysis to determine the association between their healthcare utilization and costs by frailty transition groups. RESULTS: After 2 years, changes from "pre-frail" to "frail" (Group 6) and "frail" to "pre-frail" (Group 8) were significantly associated with increased inpatient days (P < 0.001), inpatient frequency (P < 0.001), inpatient cost (P < 0.001 and P < 0.01, respectively), and total healthcare cost (P < 0.001) than "robust" to "robust" (Group 1) older adults. A transition to frailty from "pre-frail" to "frail" (Group 6) resulted in a $2,339 total healthcare cost increase, and from "frail" to "pre-frail" (Group 8), a $1,605, compared to "robust" to "robust" older adults. CONCLUSION: Frailty among community-dwelling older adults is economically relevant. Therefore, it is crucial to study the burden of medical expenses and countermeasures for older adults to not only provide appropriate medical services but also to prevent the decline in their living standards due to medical expenses.

Factors associated with frailty transitions among the old-old in a community.

AIM: The study aimed to explore the factors associated with frailty transitions among the old-old (aged ≥75 years) in a community. METHODS: The participants were all from a prospective cohort study in a community in Beijing, China. Frailty states were assessed using FRAIL at baseline and at 1-year follow-up. The association between factors, including comprehensive geriatric assessment and laboratory indicators, and frailty transitions were explored by binary logistic regression. The predicted value of the factors associated with frailty transitions was analyzed using the receiver operating characteristic curve (ROC) and the area under the ROC (AUC) for each factor was calculated. RESULTS: In total, 183 older adults (mean age: 83.9 ± 4.4 years; women, 59%) completed the frailty state assessment at baseline and 1-year follow-up. After adjusting for age and sex, physical function, including walking speed, timed up-and-go test and short physical performance battery, serum albumin and serum high-sensitivity C-reactive protein (hsCRP) were associated with worsening of the frailty state. Cognitive function was associated with improving the frailty state. ROC analysis showed that low walking speed (AUC: 0.81), long timed up-and-go test time (AUC: 0.77), low short physical performance battery score (AUC: 0.75), low serum albumin (AUC: 0.68) and high serum hsCRP (AUC: 0.80) could predict the decline in frailty state. Good cognitive function (AUC: 0.69) predicted an improvement in the frailty state. CONCLUSIONS: The frailty state of the old-old with poor physical function, low serum albumin and high serum hsCRP was likely to decline, but it could improve with good cognitive function. Geriatr Gerontol Int 2023; 23: 405-410.

Factors for the change in frailty status during the COVID-19 pandemic: A prospective cohort study over six- and 12-month periods in Japan.

We aimed to verify the frailty status and the factors associated with the change in frailty status during the COVID-19 pandemic. A three-wave cohort study was conducted every six months, from May to July 2020, November 2020 to January 2021, and again from May to July 2021. The frailty status was assessed using the frailty screening index. Multivariate generalized linear mixed-effects models were used to determine whether changes in frailty status were associated with health conditions and lifestyle. The 404 survey forms were analyzed. Decline in chewing function (beta = 0.552) and leg muscle strength weakness (beta = 0.515) were significantly associated with the change in frailty status over six months, and leg muscle strength weakness (beta = 0.512) was significantly associated over 12 months. Risk factors associated with worsening health should be assessed for appropriate support. It is especially important to assess subjective leg muscle weakness in older adults.

Transition to frailty in older Japanese people during the coronavirus disease 2019 pandemic: a prospective cohort study.

BACKGROUND: Globally, lifestyles have changed to prevent the spread of coronavirus disease 2019 (COVID-19). Therefore, we aimed to understand health and lifestyle conditions associated with frailty transition over 6 months and devise a method for identifying frailty among community-dwelling older people during the COVID-19 pandemic. METHOD: This community-based prospective cohort study was conducted from May to July 2020 (baseline) and November 2020 to January 2021 (follow-up) in Japan, with 1,953 community-dwelling older people (≥65 years) at baseline. To identify transition from non-frailty at baseline to frailty at follow-up, the Frailty Screening Index was used. For predicting frailty transition, two self-reported questionnaires assessing health and lifestyle conditions were employed. RESULTS: Overall, 706 individuals returned the baseline and follow-up questionnaires. Among the 492 non-frail older people at baseline, there was a 9.8% increase in frailty transition. The adjusted model for frailty transition by age, sex, multimorbidity, and living arrangements indicated that forgetfulness (odds ratio [OR] 2.74, 95% confidence interval [CI]: 1.00 to 7.51), falls in the past year (OR 2.26, 95% CI: 1.08 to 4.74), and subjective leg muscle weakness (OR 1.83, 95% CI: 1.05 to 3.21) were predictors of frailty transition. The combination of age ≥75 years and subjective leg muscle weakness showed moderate sensitivity, specificity, and % accuracy (0.688, 0.696, and 69.5%, respectively). CONCLUSIONS: Approximately 10% of older people showed new transitions to frailty over 6 months during the COVID-19 pandemic. A combination of age and subjective leg muscle weakness is a feasible measure to optimally identify frailty transition.

Changes in psychological distress before and during the COVID-19 pandemic among older adults: the contribution of frailty transitions and multimorbidity.

AIM: To investigate changes in psychological distress in community-dwelling older adults before and during the coronavirus disease 2019 (COVID-19) pandemic and the contribution of frailty transitions and multimorbidity in predicting the psychological distress. METHODS: Prospective repeated-measures cohort study on a sample of participants aged 60 and over. A total of 2, 785 respondents at the baseline (May 2019) were followed during the COVID-19 (August 2020). The changes in psychological distress before and during the COVID-19 were assessed using generalised estimation equations with adjusting for sex, age, education, economic status, marital status, tea drinking status, smoking status, alcohol drinking status, sedentary time, sleep quality and activities of daily living. RESULTS: The psychological distress of older people has significantly increased in August 2020 compared with May 2019. Both older adults who remained frail and transitioned into frail state reported more psychological distress during the COVID-19. Similarly, both pre-existing multimorbidity and emerging multimorbidity groups were associated with more psychological distress. The group of frailty progression who reported new emerging multimorbidity showed more increase in psychological distress in comparison with those who remained in the non-frail state who reported no multimorbidity. CONCLUSION: Psychological distress has increased among the community-dwelling older adults during the COVID-19 pandemic, and sustained and progressive frail states as well as multimorbidity were all associated with a greater increase of psychological distress. These findings suggest that future public health measures should take into account the increased psychological distress among older people during the COVID-19 pandemic, and the assessment of frailty and multimorbidity might help in warning of psychological distress.

Loneliness as a risk factor for frailty transition among older Chinese people.

BACKGROUND: Previous literature has reported that loneliness is a strong predictor of frailty risk. However, less is known about the role of loneliness in frailty transition types. This study aimed to examine whether and how loneliness are related to frailty transition among older Chinese people. METHODS: Our study used participants (aged ≥60 years) from 2008/2009, 2011/2012 and 2014 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Loneliness was assessed by a single question asking how often the respondent feels lonely. The FRAIL Scale was created to measure physical frailty for our study, and frailty was also assessed by a broader definition of the frailty index. Frailty transition as an outcome variable has been designed as two types according to the measurement of frailty. RESULTS: Greater loneliness at baseline reduced the possibility of remaining in a robust or prefrail physical frailty state after 3 years (OR = 0.78, 95%CI: 0.68-0.91, p < 0.01). Greater loneliness was associated with an increased risk of worsening physical frailty over time: compared with those who had never felt lonely, the odds ratios for people who often felt lonely were 1.19 (95%CI: 1.01-1.41, p < 0.05) after 3 years and 1.34 (95%CI: 1.08-1.66, p < 0.01) after 6 years. The association between loneliness and change in the frailty index differed in the survey periods: loneliness at baseline was found to increase the possibility of participants remaining in frailty (seldom loneliness: OR = 1.78, 95%CI: 1.25-2.55, p < 0.01; often loneliness: OR = 1.74, 95%CI: 1.21-2.50, p < 0.01) after 6 years, but no significance was shown in the 3-year follow up. Additionally, loneliness at baselines was significantly associated with frailty transition at follow up among the male participants. However, a similar association was not observed among the female participants. CONCLUSION: Older people with a high level of loneliness tend to be frail in the future, and greater loneliness is related to an increased risk of worsening frailty and remaining frail. Male elderly with a high level of loneliness were more likely to have a worse frailty transition than female elderly in China.

A Pilot Study of the Clinical Frailty Scale to Predict Frailty Transition and Readmission in Older Patients in Vietnam.

BACKGROUND: The Clinical Frailty Scale (CFS) is gaining increasing acceptance due to its simplicity and applicability. AIMS: This pilot study aims to examine the role of CFS in identifying the prevalence of frailty, frailty transition, and the impact of frailty on readmission after discharge in older hospitalized patients. METHODS: Patients aged ≥60 admitted to the geriatric ward of a hospital in Vietnam were recruited from 9/2018-3/2019 and followed for three months. Frailty was assessed before discharge and after three months, using the CFS (robust: score 1-2, pre-frail: 3-4, and frail: ≥5). Multivariate logistic regression was applied to investigate the associated factors of frailty transition and the impact of frailty on readmission. RESULTS: There were 364 participants, mean age 74.9, 58.2% female. At discharge, 4 were robust, 160 pre-frail, 200 frail. Among the 160 pre-frail participants at discharge, 124 (77.5%) remained pre-frail, and 36 (22.5%) became frail after 3 months. Age (adjusted OR1.09, 95% CI 1.03-1.16), number of chronic diseases (adjusted OR 1.37, 95% CI 1.03-1.82), and polypharmacy at discharge (adjusted OR 3.68, 95% CI 1.15-11.76) were significant predictors for frailty after 3 months. A frailty status at discharge was significantly associated with increased risk of readmission (adjusted OR2.87, 95% CI 1.71-4.82). CONCLUSIONS: Frailty was present in half of the participants and associated with increased risk of readmission. This study suggests further studies to explore the use of the CFS via phone calls for monitoring patients' frailty status after discharge, which may be helpful for older patients living in rural and remote areas.

Frailty state among Indonesian elderly: prevalence, associated factors, and frailty state transition.

BACKGROUND: Information about frailty status and its transition is important to inform clinical decisions. Predicting frailty transition is beneficial for its prevention. While Indonesia is the 4th largest geriatric population in Asia, data about frailty transition is limited. This study aimed to obtain data on prevalence of frailty, its risk factors, frailty state transition and its prognostic factors, as well as to develop prognostic score for frailty state transition. METHODS: Multicenter study on subjects aged ≥60 years old was done to obtain the prevalence of frailty status and to identify risk factors of frailty. Prospective cohort over 12 months was done to obtain data on frailty state transition. Multiple logistic regression analysis was performed to identify its prognostic factors from several clinical data, which then were utilized to develop prognostic score for frailty state worsening. RESULTS: Cross-sectional data from 448 subjects showed that 25.2% of the subjects were frail based on Frailty index-40 items. Risk factors of frailty were age (OR 2.72; 95% CI 1.58-4.76), functional status (OR 2.89; 95% CI 1.79-4.67), and nutritional status (OR 3.75; 95% CI 2.29-6.13). Data from the 162 subjects who completed the cohort showed 27.2% of the cohort had frailty state worsening. Prognostic factors for frailty state worsening were being 70 years or older (OR 3.9; 95% CI 1.2-12.3, p < 0.05), negative QoL, i.e., fair and poor QoL (OR 2.5; 95% CI 1.1-5.9, p < 0.05), and slow gait speed (OR 2.8; 95% CI 1.3-6.4, p < 0.05). The internal validation of the prognostic score consisted of those three variables showed good performance. CONCLUSION: The prevalence of frailty in this study among Indonesian elderly in outpatient setting was 25.2%. The risk factors of frailty were age, functional status and nutritional status. The prognostic factors for frailty state worsening were being 70 years old or older, negative QoL (fair or poor quality of life), and slow gait speed. A prognostic score to predict frailty state worsening in 12 months had been developed.

Phase angle and metabolic equivalents as predictors of frailty transitions in advanced age.

OBJECTIVES: The aim of this prospective study was to investigate whether two cellular and metabolic health indices, phase angle (PhA) and metabolic equivalents (METs), can predict changes in frailty states in fit community-dwelling older people. METHODS: A sample of 118 individuals aged ≥65 years who attended a twice-weekly mild fitness program of aerobic and/or resistance exercises was enrolled in the study. At baseline and after three years, individuals underwent a clinical examination, biochemical determinations, bioelectrical impedance analysis, body composition assessment with dual energy X-ray absorptiometry, physical performance tests, and frailty and sarcopenia assessment. In 78 participants was executed indirect calorimetry, too. Based on frailty transitions during the follow-up between non-frailty, pre-frailty and frailty, participants were categorized as improved, stable (non-frail or pre-frail), and worsened or remaining frail. The chances to experience different frailty changes by baseline PhA and METs were explored through multinomial regression analysis and expressed as odds ratios (OR) and 95% Confidence intervals (95%CI). RESULTS: During the follow-up, 8 participants improved in frailty status, 84 were stable and 26 worsened or remained frail. For each one-unit increase in PhA, the odds of improving in frailty increased by 4.53 times (95%CI:1.18-17.46); while for each one-unit increase in METs, the odds of worsening in frailty decreased by 65% (95%CI:0.16-0.79). CONCLUSIONS: PhA and METs may be indirect measures of functional reserve, with lower values being potential biomarkers of evolving frailty.

Effects of home telemonitoring on transitions between frailty states and death for older adults: a randomized controlled trial.

BACKGROUND: Two primary objectives when caring for older adults are to slow the decline to a worsened frailty state and to prevent disability. Telemedicine may be one method of improving care in this population. We conducted a secondary analysis of the Tele-ERA study to evaluate the effect of home telemonitoring in reducing the rate of deterioration into a frailty state and death in older adults with comorbid health problems. METHODS: This trial involved 205 adults over the age of 60 years with a high risk of hospitalization and emergency department visits. For 12 months, the intervention group received usual medical care and telemonitoring case management, and the control group received usual care alone. The primary outcome was frailty, which was based on five criteria, ie, weight loss, weakness, exhaustion, low activity, and slow gait speed. Participants were classified as frail if they met three or more criteria; prefrail if they met 1-2 criteria; and not frail if they met no criteria. Both groups were assessed for frailty at baseline, and at 6 and 12 months. Frailty transition analyses were performed using a multiple logistic regression method. Kaplan-Meier and Cox proportional hazards methods were used to evaluate each frailty criteria for mortality and to compute unadjusted hazard ratios associated with being telemonitored, respectively. A retrospective power analysis was computed. RESULTS: During the first 6 months, 19 (25%) telemonitoring participants declined in frailty status or died, compared with 17 (19%) in usual care (odds ratio 1.41, 95% confidence interval [CI] 0.65-3.06, P = 0.38). In the subsequent 6 months, there was no transition to a frailty state, but seven (7%) participants from the telemonitoring and one (1%) from usual care group died (odds ratio 5.94, 95% CI 0.52-68.48, P = 0.15). Gait speed (hazards ratio 3.49, 95% CI 1.42-8.58) and low activity (hazards ratio 3.10, 95% CI 1.25-7.71) were shown to predict mortality. CONCLUSION: This study did not provide sufficient evidence to show that the telemonitoring group did better than usual care in reducing the decline of frailty states and death. Transitions occurred primarily in the first 6 months.