Longitudinal changes of frailty in 8 years: comparisons between physical frailty and frailty index

Intrinsic capacity transitions predict overall and cause-specific mortality, incident disability, and healthcare utilization

OBJECTIVES

To develop an intrinsic capacity (IC) score and to investigate the association between IC transition with overall and cause-specific mortality, incident disability and healthcare utilization.

DESIGN

Retrospective cohort study SETTING AND PARTICIPANTS: Data from 1852 respondents aged ≥ 65 years who completed the 1999 and 2003 surveys of the Taiwan Longitudinal Study on Aging were analyzed.

MEASUREMENTS

Transitions of IC score were categorized into three groups: (1) Improved IC (IC2003-1999 >0), (2) Stable IC (IC2003-1999 = 0), (3) Worsened IC (IC2003-1999 <0). Cox regression and subdistribution hazard models were used to investigate IC transitions and 4-year overall and cause-specific mortality, respectively. Logistic regression were employed to develop weighted IC score (wIC, 0-16) and assess its association with incident disability and healthcare utilization. Similar analysis were repeated using non-weighted IC (nIC, 0-8) to ensure robustness.

RESULTS

Comparing to decreased wIC group, stable or increased wIC participants had significantly lower 4-year all-cause mortality, and death from infection, cardiometabolic/cerebrovascular diseases, organ failure and other causes. (Hazard ratio (HR) ranged from 0.36 to 0.56, 95% CI ranged from 0.15 to 1.00, p ≤ 0.049 in the stable wIC group; HR ranged from 0.41 to 0.51, 95% CI ranged from 0.22 to 0.94, p ≤ 0.034 in the increased wIC group). Moreover, individuals with stable or increased wIC demonstrated lower risk of incident disability and hospitalization. (Odds ratio (OR) = ranged from 0.34 to 0.70, 95% CI ranged from 0.19 to 1.00, p ≤ 0.048). Participants with stable wIC also exhibited reduced risk of emergency department visits (OR = 0.58, 95% CI = 0.41 to 0.82, p = 0.002). These results were generally consistent in the nIC model.

CONCLUSION

Participants with stable or increased IC experienced significantly lower all-cause and most cause-specific mortality, incident disability, and healthcare utilization, which was independent of baseline IC and comorbidities. The findings remained consistent across weighted and non-weighted IC model.

Frailty trajectories and determinants in Chinese older adults: A longitudinal study

OBJECTIVES

This study aimed to enrich the research on frailty trajectories by using FRAIL scale and frailty index (FI), and analyze the determinants of the different trajectories in older Chinese.

METHODS

2268 older adults from the Chinese Longitudinal Healthy Longevity Survey were included. The FRAIL scale was constructed from 5 items and FI was constructed from 39 deficits. Latent Class Trajectory Model was used to depict frailty trajectories. Lasso - logistic model was applied to exploration of influencing factors.

RESULTS

Four FRAIL trajectories and three FI trajectories were identified. Women, smoking, illiteracy, more than two chronic diseases, and poor instrumental activities of daily living (all p < 0.05) were associated with frailty trajectories, regardless of the frailty instrument employed.

CONCLUSIONS

Frailty trajectories of older Chinese adults are diverse and they are influenced by different frailty measurement tools. Long-term assessment and management of frailty are recommended as routine care in community healthcare centers.

Multi-trajectories in different domains of social supports and subjective motoric cognitive risk syndrome: a 16-year group-based multi-trajectory analysis

OBJECTIVE

The aim of this study was to examine the longitudinal relationships between the trajectories of distinct subtypes of various domains of social supports and risk of subjective motoric cognitive risk (MCR) syndrome.

DESIGN

Longitudinal cohort study.

SETTING AND PARTICIPANTS

2,279 participants in the Taiwan Longitudinal Study on Aging (TLSA) between 1999 and 2011.

METHOD

A group-based multi-trajectory modeling (GBMTM) was implemented to identify distinct trajectory subtypes within various social support domains, encompassing social networks, emotional support, instrumental support, as well as working and economic status. Logistic regression models were then utilized to evaluate the associations between these trajectory subtypes and the risk of subjective MCR.

RESULTS

Among 2,279 participants, GBMTM identified four distinct trajectory subtypes: "low social support" (n = 371), "medium social support " (n = 862), "high social support" (n = 292), and "high social support with employment" (n = 754). The incidence rates of subjective MCR for these groups were 9.4%, 9.0%, 4.1%, and 0.8%, respectively. After adjusting for age, sex, education level, and comorbidities, both "low social support" (adjusted odds ratio (aOR) 4.07, 95% CI [1.60-10.34]) and "medium social support" (aOR 3.10, 95% CI [1.26-7.66]) were significantly associated with an increased risk of subjective MCR compared to the "high social support with employment" group.

CONCLUSIONS AND IMPLICATIONS

The current study demonstrates that social support significantly reduces the risk of subjective MCR, with lower support levels correlating to higher risk, necessitating further intervention studies to confirm the link between social support and risk of subjective MCR.

White matter hyperintensities mediate the association between frailty and cognitive impairment in moyamoya disease

OBJECTIVES

The relationship between cognitive function and frailty in moyamoya disease (MMD) remains unclear, and the underlying mechanism is poorly understood. This study aims to investigate whether white matter hyperintensities (WMHs) mediate the association between frailty and cognitive impairment in MMD.

METHODS

Patients with MMD were consecutively enrolled in our study from January 2021 to May 2023. Pre-admission frailty and cognition were assessed using the Clinical Frailty Scale (CFS) and cognitive tests, respectively. Regional deep WMH (DWMH) and periventricular WMH (PWMH) volumes were calculated using the Brain Anatomical Analysis using Diffeomorphic deformation toolbox based on SPM 12 software. Multivariate logistic regression analysis was conducted to evaluate the association between frailty and cognitive function in MMD. Mediation analysis was performed to assess whether WMHs explained the association between frailty and cognition.

RESULTS

A total of 85 patients with MMD were enrolled in this study. On the basis of the CFS scores, 24 patients were classified as frail, 38 as pre-frail, and 23 as robust. Significant differences were observed in learning, memory, processing speed, executive functions, and semantic memory among the three groups (p < 0.001). Frailty was independently associated with memory and executive functions (p < 0.05); even after controlling for WMH. Mediation analysis indicated that the associations of frailty with memory and executive functions were partially mediated by WMH, DWMH, and PWMH (p < 0.05).

CONCLUSION

Frailty is significantly correlated with a higher risk of cognitive impairment in MMD, even after adjusting for other covariates. WMHs partially mediate the association between frailty and cognitive impairment.

Intrinsic capacity trajectories, predictors and associations with care dependence in community-dwelling older adults: A social determinant of health perspective

AIMS

To identify intrinsic capacity trajectories, predictors of intrinsic capacity trajectories and associations between intrinsic capacity trajectories and care dependence in community-dwelling older adults in China.

METHODS

A retrospective longitudinal study was conducted, and the data were obtained from a five-year national longitudinal cohort study of older adults in China between 2011 and 2015. The social determinants of health framework informed the data analysis and interpretation.

RESULTS

A total of 3893 older adults met the selection criteria and were included in the study. Three intrinsic capacity trajectories were identified: high trajectory (15.7 %), stable trajectory (52.7 %) and declining trajectory (31.6 %). Social determinants contribute to intrinsic capacity decline in older adults. Decreased cognitive function, psychological status, and locomotion at baseline were associated with care dependence.

CONCLUSION

Approximately thirty percent of the older adults in this cohort study experienced a decline in intrinsic capacity within a 5-year period. Social determinants contributed to this decline in older adults.

Advancing nutrition risk assessment in middle-aged and older individuals with diverse food cultures: A data-driven personalized approach to predict incident hypertension, diabetes and mortality

BACKGROUND

Personalized nutrition risk assessment is crucial in addressing the association between healthy dietary habits across the life course and the development of disease, functional capacity, and healthy aging, as specific dietary pattern recommendations may not be suitable for diverse food cultures.

OBJECTIVE

To develop a data-driven, personalized nutrition risk assessment algorithm linked to incident hypertension, diabetes, and all-cause mortality utilizing the food frequency questionnaire among middle-aged and older individuals.

METHODS

A retrospective, population-based cohort study conducted between 1999 and 2015 utilized the nationally representative Taiwan Longitudinal Study on Aging (TLSA) survey to examine personalized dietary risk clusters and their associations with health outcomes. Latent class analysis was performed to derive the dietary diversity clusters among community-dwelling middle-aged and older individuals. Outcomes were defined as new-onset hypertension, diabetes mellitus and all-cause mortality at 4-, 8-, 12- and 16-year follow-ups.

RESULTS

Data from 1,811 participants (58.14% males, 43.90% aged 50-64 years) showed that around one-third of participants reported being illiterate, 21.98% widowed, and 51.46% engaging in regular physical exercise. Four dietary diversity clusters were identified: "least diverse", "fish and meat", "dairy, fruit, and vegetable", and "most diverse". The "most diverse" cluster was characterized by a high consumption of protein-rich foods, while the "dairy, fruit, and vegetable" cluster had the highest consumption of dairy products and beans/legumes. The "least diverse" cluster had the lowest intake of protein-rich foods, and dark-colored vegetables and fruits. The "most diverse" cluster had a significantly lower risk of hypertension development at the 4-year (aOR 0.58; p < 0.02) and 8-year (aOR 0.57; p < 0.01) follow-up and diabetes at the 4-year (aOR 0.44; p < 0.03) follow-up. Participants in the "most diverse" clusters exhibited lower risks of 8-year, 12-year, and 16-year mortality than those in the "least diverse" cluster (aOR 0.67, p < 0.05; 0.67, p < 0.03; and 0.50, p < 0.01, respectively).

CONCLUSION

The personalized nutrition risk assessment algorithm from the food frequency questionnaire can effectively stratify personal health risks among diverse middle-aged and older individuals, making it a valuable tool in lifestyle modification and intervention studies.

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.

Frailty in Late Midlife to Old Age and Its Relationship to Medical Imaging Use and Imaging-related Costs: A Longitudinal Study

Background Frailty, defined as an increased vulnerability to and impaired recovery from stressors, is common in individuals in late midlife to old age. While frailty predisposes individuals to adverse health outcomes and increased health care utilization, how it impacts imaging service use and related costs remains unclear. Purpose To determine whether frailty is associated with greater use of imaging services and higher imaging-related costs. Materials and Methods This longitudinal study included a subset of participants from the Helsinki Birth Cohort Study who were clinically assessed up to three times from late midlife to old age between August 2001 and September 2018. A frailty index (FI) based on 41 variables was calculated, and an FI of 0.25 or more indicated frailty. Associations of baseline frailty and its rate of change during the study with medical imaging service use and imaging-related costs were assessed using covariate-adjusted negative binomial and other generalized linear models. Results Of the 1995 participants (mean age, 61.5 years ± 2.9 [SD]; 1074 female participants) included in this study, 569 (28.5%) were identified as frail at baseline, and these participants underwent 10 677 (42.4%) of the 25 172 medical imaging examinations among the participants. Compared to participants who were not frail at baseline, participants who were frail at baseline showed increased use of all imaging modalities (incidence rate ratio [IRR], 2.28 [95% CI: 1.97, 2.64]; P < .001) and higher imaging costs (log annual cost, 3.26 [95% CI: 2.36, 4.50]; P < .001). Compared to participants with stable or slow change in frailty (<0.0010 FI units per year), participants with a rapid increase in frailty (>0.0064 FI units per year) from late midlife to old age showed greater use of all medical imaging services, independent of FI at baseline (IRR, 1.82 [95% CI: 1.53, 2.17]; P < .001) and had higher imaging costs (log annual cost, 1.62 [95% CI: 1.30, 2.01)]; P < .001). Conclusion The presence of frailty and its progression rate are associated with increased use of imaging services and higher imaging-related costs. © RSNA, 2023 Supplemental material is available for this article.

Social interaction trajectories and all-cause mortality in older adults: the Otassha study

Introduction

This longitudinal study aimed to identify aging trajectory patterns of social interaction by sex and determine the association between these patterns and all-cause mortality.

Methods

Participants were 4,065 community-dwelling older adults (1849 men) in Japan, aged 65-89 years, who responded twice or more to a mail survey conducted between 2012 and 2020. Social interaction was examined through the frequency of face-to-face and non-face-to-face contact with non-resident family and friends. The aging trajectories of the social interaction scores were identified using group-based trajectory modeling.

Results

Two groups were identified among both men and women. Among men with high-frequency interaction, a rapid decrease in the frequency of social interaction was observed after 80 years of age. Conversely, among women, the frequency tended to remain the same, even after 80 years of age. The social interaction score among those aged 65 years in the low-frequency group was approximately 4 points for men and 6 points for women. Among men, no decrease was observed; however, it tended to decline after 85 years of age among women. Among men, the factors associated with the low-frequency group were instrumental activities of daily living score, perceived financial status, and social participation, while among women, they were self-rated health and social participation. The adjusted hazard ratio in the low-frequency group for all-cause mortality was 1.72 (95% confidence interval, 1.27-1.72) for men and 1.45 (95% confidence interval, 0.98-2.14) for women.

Discussion

In the low-frequency group, men had a higher risk of all-cause mortality than women. Daily social interaction from mid-age is important to reduce the risk of social isolation and all-cause mortality in later life.

Association of admission frailty and frailty changes during cardiac rehabilitation with 5-year outcomes

AIMS

Examine the association between (1) admission frailty and (2) frailty changes during cardiac rehabilitation (CR) with 5-year outcomes (i.e. time to mortality, first hospitalization, first emergency department (ED) visit, and number of hospitalizations, hospital days, and ED visits).

METHODS AND RESULTS

Data from patients admitted to a 12-week CR programme in Halifax, Nova Scotia, from May 2005 to April 2015 (n = 3371) were analysed. A 25-item frailty index (FI) estimated frailty levels at CR admission and completion. FI improvements were determined by calculating the difference between admission and discharge FI. CR data were linked to administrative health data to examine 5-year outcomes [due to all causes and cardiovascular diseases (CVDs)]. Cox regression, Fine-Gray models, and negative binomial hurdle models were used to determine the association between FI and outcomes. On average, patients were 61.9 (SD: 10.7) years old and 74% were male. Mean admission FI scores were 0.34 (SD: 0.13), which improved by 0.07 (SD: 0.09) by CR completion. Admission FI was associated with time to mortality [HRs/IRRs per 0.01 FI increase: all causes = 1.02(95% CI 1.01,1.04); CVD = 1.03(1.02,1.05)], hospitalization [all causes = 1.02(1.01,1.02); CVD = 1.02(1.01,1.02)], ED visit [all causes = 1.01(1.00,1.01)], and the number of hospitalizations [all causes = 1.02(95% CI 1.01,1.03); CVD = 1.02(1.00,1.04)], hospital days [all causes = 1.01(1.01,1.03)], and ED visits [all causes = 1.02(1.02,1.03)]. FI improvements during CR had a protective effect regarding time to all-cause hospitalization [0.99(0.98,0.99)] but were not associated with other outcomes.

CONCLUSION

Frailty status at CR admission was related to long-term adverse outcomes. Frailty improvements during CR were associated with delayed all-cause hospitalization, in which a larger effect was associated with a greater chance of improved outcome.

Dynamic frailty risk assessment among older adults with multiple myeloma: A population-based cohort study

Multiple myeloma (MM) is a cancer of older adults and those who are more frail are at high risk of poor outcomes. Current tools for identifying and categorizing frail patients are often static and measured only at the time of diagnosis. The concept of dynamic frailty (i.e. frailty changing over time) is largely unexplored in MM. In our study, adults with newly-diagnosed MM who received novel drugs between the years 2007-2014 were identified in the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked databases. Using a previously published cumulative deficit approach, a frailty index score was calculated at diagnosis and each landmark interval (1-yr, 2-yr, 3-yr post diagnosis). The association of frailty with overall survival (OS) both at baseline and at each landmark interval as well as factors associated with worsening frailty status over time were evaluated. Overall, 4617 patients were included. At baseline, 39% of the patients were categorized as moderately frail or severely frail. Among those who had 3 years of follow-up, frailty categorization changed post diagnosis in 93% of the cohort (78% improved and 72% deteriorated at least at one time point during the follow up period). In a landmark analysis, the predictive ability of frailty at the time of diagnosis decreased over time for OS (Harrell's C Statistic 0.65 at diagnosis, 0.63 at 1-yr, 0.62 at 2-yr, and 0.60 at 3-yr) and was inferior compared to current frailty status at each landmark interval. Our study is one of the first to demonstrate the dynamic nature of frailty among older adults with MM. Frailty may improve or deteriorate over time. Current frailty status is a better predictor of outcomes than frailty status at time of diagnosis, indicating the need for re-measurement in this high-risk patient population.

Dual trajectory of sleep and frail in elderly people

The high incidence of dual sleep and frail disorders in the elderly people, often occurring together, seriously affects the physical and mental health of the older people, effective research on the dynamics of dual sleep and frail disorders is important for improving the quality of life for the older people and responding to global ageing trend. While trajectory studies provide a unique practical scientific perspective to grasp the dynamics of development, dual trajectories unite dual barriers provide an opportunity to study the dynamic dependence of both sleep and frailty simultaneously sleep trajectories and frailty trajectories in older people are interrelated and interacted through deeper mechanisms. Therefore, it is necessary for the study not only focus on the ongoing development of health problems, but also needs to consider multiple aspects and propose targeted intervention program.

Is It Time to Integrate Frailty Assessment in Onconephrology?

Simple Summary

There are an increasing number of older people living with kidney cancer and/or cancer and kidney disease worldwide, sparking a wider discussion on the impact of frailty and the clinical significance of conducting frailty assessments for this patient population. We provide an update on the current evidence related to frailty assessment in onconephrology and identify areas where further research efforts are anticipated to address knowledge gaps within this topic.

Abstract

Onconephrology has emerged as a novel sub-specialty of nephrology dedicated to the intersection between the kidney and cancer. This intersection is broad and includes a number of important areas of focus, including concurrent chronic kidney disease (CKD) and cancer, acute kidney complications of cancer, and cancer-treatment-induced nephrotoxicity. The importance of onconephrology is even more evident when considering the global growth in the population of older adults, many of whom are living with some degree of frailty. Furthermore, a considerable proportion of older adults have CKD (some of whom eventually progress to kidney failure) and are at high risk of developing solid tumour and hematologic malignancies. Specific to kidney disease, the association between frailty status and kidney disease has been explored in depth, and tools to capture frailty can be used to guide the management and prognostication of older adults living with kidney failure. Whilst there is emerging data regarding the assessment and impact of frailty in onconephrology, there remains a relative paucity of knowledge within this topic. In this article, we evaluate the definition and operationalization of frailty and discuss the significance of frailty within onconephrology. We review evidence on current approaches to assessing frailty in onconephrology and discuss potential developments and future directions regarding the utilization of frailty in this patient population. A greater awareness of the intersections and interactions between frailty and onconephrology and further efforts to integrate frailty assessment in onconephrology to optimize the delivery of realistic and goal-directed management strategies for patients is needed.

Sex-specific impacts of social isolation on loneliness, depressive symptoms, cognitive impairment, and biomarkers: Results from the social environment and biomarker of aging study

OBJECTIVES

To investigate sex-specific associations between social isolation and psychological outcomes and biomarkers among community-dwelling middle-aged and older adults using a nationally representative population-based cohort study.

METHODS

Data from 757 participants from the Social Environment and Biomarkers of Aging Study (SEBAS) were retrieved for analysis, and all participants were stratified by sex. The associations between social isolation and psychological outcomes (loneliness, depressive symptoms, and cognitive impairment) at the 4-year follow-up were examined by multivariate logistic regression models, and associations between social isolation and biomarkers at the 4-year follow-up were examined by multivariate generalized linear models (GLMs).

RESULTS

For men, social isolation was not associated with the development of loneliness. However, being married (adjusted odds ratio (aOR) 0.32 [95% confidence interval (CI) 0.13-0.74], p<0.001) was associated with a lower risk of loneliness, indicating potential protective effects of marriage for men. On the other hand, social isolation was associated with a 2-fold higher risk of loneliness in women (aOR 2.26 [1.01-5.09], p<0.001). Social isolation was not associated with depressive symptoms after adjusting for other demographics. For men, being married (aOR 0.51 [0.26-0.99], p<0.05) or having good self-reported health (aOR 0.44 [0.21-0.92], p<0.05) was protective against depressive symptoms. For women, only good self-reported health (aOR 0.30 [0.13-0.70], p<0.01) provided protective effects against depressive symptoms. Similarly, other demographic factors (being married and having a higher educational level) but not social isolation were associated with lower risks of cognitive impairment. No significant associations were noted between social isolation and selected biomarkers.

CONCLUSIONS

Sex-different associations between social isolation and loneliness were noted; the effects of demographic factors, such as being married, self-reported health status, and high education levels, on subsequent loneliness, depression, and cognitive function were also sex-different. Further intervention studies are needed to explore sex-specific approaches to deal with the interplay of social isolation, loneliness, psychological outcomes and other demographic factors.

Transitions in Frailty and 4-Year Mortality Risk in Taiwan Longitudinal Study on Aging

OBJECTIVES

To explore the associations of (1) the frailty phenotype or frailty index transition with cause-specific mortality, and (2) different combinations of transition in frailty phenotype and frailty index with all-cause mortality.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Data from 3529 respondents aged >50 years who completed the 1999 and 2003 surveys of the Taiwan Longitudinal Study on Aging were analyzed.

METHODS

Cox regression and subdistribution hazard models were constructed to investigate frailty phenotype or frailty index transitions (by categories of frailty phenotype, absolute and percentage changes in frailty index, and combined categories of the 2 measurements) and subsequent 4-year all-cause and cause-specific mortality, respectively.

RESULTS

Among the frailty phenotype transition groups, the improved frailty group had overall mortality risk comparable to that of the maintained robustness/prefrailty group [hazard ratio (HR): 0.9; 95% CI: 0.7-1.2] and lower risk of mortality due to organ failure (HR: 0.4; 95% CI: 0.2-0.8; P = .015), whereas the worsened frailty group had the highest risk of all-cause mortality and death from infection, malignancy, cardiometabolic/cerebrovascular diseases, and other causes (HR: 1.8-3.7; all P < .03). The rapidly increased frailty index group had significantly higher all-cause and every cause-specific mortality than the decreased frailty index group (HR: 1.8-7.7; all P < .05). When frailty phenotype and frailty index transition groups were combined, participants with worsened frailty/rapidly increased frailty index had increased risk under the same frailty index/frailty phenotype transition condition, particularly for large changes in each factor (HR: 1.5-2.2; P < .01 for worsened frailty; 1.7-4.5, P < .03 for rapidly increased frailty index).

CONCLUSIONS AND IMPLICATIONS

We found that considering both frailty phenotype and frailty index provided best mortality prediction. These associations were independent of baseline frailty status and comorbidities. Nevertheless, even capturing transitions in frailty phenotype or frailty index only can provide good mortality prediction, which supported adopting these approaches in different clinical settings.

Untangling the Complex Interplay between Social Isolation, Anorexia, Sarcopenia, and Mortality: Insights from a Longitudinal Study

BACKGROUND

Social isolation is a pervasive and debilitating condition that has adverse prognostic impacts. This condition often co-occurs with other geriatric syndromes, further exacerbating negative health outcomes. Given these considerations, the present study aims to elucidate the roles of social isolation in older adults with anorexia of aging and/or sarcopenia with respect to long-term mortality using a nationally representative cohort study.

METHODS

Data were obtained from the Taiwan Longitudinal Study on Aging (TLSA), with a sample size of 3,762 study participants aged 50 years and older. Data from 1999 (wave 4) to 2015 (wave 9) were analyzed. The TLSA questionnaire was used to define social isolation, anorexia, and sarcopenia. Logistic regressions were employed to explore the associations between social isolation, anorexia, and sarcopenia. The Cox proportional hazard model was utilized to examine the synergistic effects of social isolation and anorexia or sarcopenia on 16-year all-cause mortality.

RESULTS

After controlling for demographic information and comorbidities, older adults with social isolation were significantly associated with anorexia (adjusted odds ratio [aOR] 1.46 [95% confidence interval: 1.00-2.12, p=0.0475]) and sarcopenia (aOR 1.35 [95% CI: 1.12-1.64, p=0.0021]). Furthermore, the synergistic effects of social isolation with anorexia (aOR 1.65 [95% CI: 1.25-2.18, p=0.0004]) or sarcopenia (aOR 1.65 [95% CI: 1.42-1.92, p<0.0001]) were both significantly associated with higher risks of all-cause mortality, while social isolation alone revealed borderline statistical significance.

CONCLUSIONS

Our findings indicate that social isolation is closely linked to anorexia and sarcopenia among middle-aged and older adults. Additionally, social isolation significantly exacerbates the long-term mortality risk associated with anorexia of aging and sarcopenia. However, social isolation alone appears to have borderline long-term mortality risk in this cohort. These findings underscore the importance of addressing social isolation in older adults with anorexia and/or sarcopenia to optimize their health outcomes and mitigate long-term mortality risk.

Higher dietary diversity and better healthy aging: A 4-year study of community-dwelling middle-aged and older adults from the Taiwan Longitudinal Study of Aging

OBJECTIVES

To investigate the relationship between dietary diversity and healthy aging (in terms of mobility performance, physical functions, cognitive functions, and depressive symptoms) among community-dwelling middle-aged and older adults by using a nationally representative population-based cohort study.

METHODS

Data from 3213 study participants in the Taiwan Longitudinal Study on Aging (TLSA) were retrieved for analysis, and all participants were divided into five groups according to the quintile of dietary variety scores (DVSs). In the 4-year follow-up study, multivariate logistic regression models were applied to investigate the associations between DVS subgroups and declines in mobility performance, physical function (activities of daily living (ADLs) and instrumental activities of daily living (IADLs)), cognitive function and depressive symptoms.

RESULTS

In this study, the DVS quintile identified people who were significantly vulnerable in diet quality. Among those in the lowest DVS quintile, the proportions consuming seafood, eggs, and beans/legumes per week were 0.3 %, 7.8 % and 12.6 %, respectively, while among those in the highest DVS quintile, the proportions were 40.2 %, 83.1 %, and 82.7 %, respectively. "Inverse" dose-response associations were observed between the DVS and the risks of decline in mobility performance, physical function (ADLs and IADLs), cognitive function, and depressive symptoms. These risks decreased with the higher DVS quintile group as compared to the lowest DVS quintile group. Even after adjustments for demographics, health behaviors (e.g., physical activity) and comorbidities, participants in the highest DVS quintile group were still associated with the lowest risk of decline in ADLs (adjusted odds ratio (aOR) 0.59 [95 % confidence interval (CI) 0.37-0.94], p < 0.05) and IADLs (aOR 0.53 [0.39-0.73], p < 0.01). However, no such association was observed in the risk of worsened mobility performance, cognitive function and depressive symptoms.

CONCLUSIONS

In conclusion, higher dietary diversity has protective effects in declines in multidimensional outcomes associated with healthy aging, particularly physical (ADL and IADL) functions, among community-dwelling middle-aged and older adults. Intervention studies are needed to confirm the causal relationships between dietary diversity and healthy aging.

The Usefulness of Radiomics Methodology for Developing Descriptive and Prognostic Image-Based Phenotyping in the Aging Population: Results From a Small Feasibility Study

Background: Radiomics is an emerging field that translates medical images into quantitative data to enable phenotypic profiling of human disease. In this retrospective study, we asked whether it is possible to use image-based phenotyping to describe and determine prognostic factors in the aging population.

Methods: A radiomic frailty cohort with 101 patients was included in the analysis (65 ± 15 years, 55 men). A total of 44 texture features were extracted from the segmented muscle area of the ultrasound images of the anterior thigh. Univariate and multivariate analyses were performed to assess the image data sets and clinical data.

Results: Our results showed that the heterogeneity of muscle was associated with an increased incidence of hearing impairment, stroke, myocardial infarction, dementia/memory loss, and falls in the following two years. Regression analysis revealed a muscle radiomic model with 87.1% correct predictive value with good sensitivity and moderate specificity (p = 0.001).

Conclusion: It is possible to develop and identify image-based phenotypes in the elderly population. The muscle radiomic model needs to further be validated. Future studies correlated with biological data (genomics, transcriptomics, metabolomics, etc.) will give further insights into the biological basis and molecular processes of the developed radiomic model.

Biological Features of the Outcome-Based Intrinsic Capacity Composite Scores From a Population-Based Cohort Study: Pas de Deux of Biological and Functional Aging

Introduction

This study aims to develop and validate an integrative intrinsic capacity (IC) scoring system, to investigate its associations with a wide spectrum of biomarkers and to explore the predictive value of the integrative IC score on 4-year mortality among community dwelling people aged 50 years and older.

Methods

We included 839 adults aged ≥50 years from the Social Environment and Biomarkers of Aging Study (SEBAS) and randomly divided them into derivation and validation cohorts to develop the IC scoring system. The multivariate logistic regression model was used to weight each subdomain (locomotion, sensory, vitality, psychological, and cognition) of IC according to its association with impairments in instrumental activities of daily living (IADL) and to construct the integrative IC score. Age-related biomarkers and genetic markers were compared between IC groups by ordinal logistic regression. A Cox proportional hazard model was used to examine the association between IC and mortality, and subgroup analysis was used to assess the robustness of the results among participants aged 60 years and older.

Results

A 12-score IC scoring system (AUROC = 0.83; Hosmer–Lemeshow goodness-of-fit test p = 0.17) was developed, and higher scores indicated better intrinsic capacity. High interleukin (IL)-6, high E-selectin, low serum albumin and low folate were significantly associated with low IC in the whole sample. However, high IL-6, low serum albumin, low folate, high allostatic load, and APOE ε4 genotype were significantly associated with low IC in those aged 60 years old and older. Compared to the high IC group, the low IC group was significantly associated with all-cause mortality (HR: 2.50, 95% CI: 1.22–5.11, p = 0.01 for all participants; HR 2.19, 95% CI 1.03–4.64, p = 0.04 for participants aged 60 years and older).

Conclusions

The conceptually proposed IC can be easily transformed into a scoring system considering different weights of individual subdomains, which not only predicts mortality but also suggests different pathophysiologies across the life course of aging (inflammation, nutrition, stress, and ApoE4 genotype). An intervention study is needed using the composite IC score to promote healthy aging and determine the underlying pathophysiology.

The Impact of Family Socioeconomic Status on Elderly Health in China: Based on the Frailty Index

China is about to enter a moderate aging society. In the process of social and economic development, the family socioeconomic status and health status of the elderly have also changed significantly. Learning the impact of family socioeconomic status on elderly health can help them improve family socioeconomic status and better achieve healthy and active aging. Using the data of the Chinese Longitudinal Healthy Longevity Survey in 2018, this study firstly analyzed the impact of family socioeconomic status on elderly health using the multivariate linear regression model and quantile regression model, the heterogeneity of different elderly groups using subsample regression, and the mediation effects of three conditions associated with the family socioeconomic status of the elderly. The results show that family socioeconomic status has a negative effect on the frailty index, that is, it has a positive impact on elderly health. Family socioeconomic status has a higher positive impact on the health status of the middle and lower age elderly and rural elderly. Overall living status and leisure and recreation status both have mediation effects, while health-care status has no mediation effect.