Journal of Frailty & Aging最新文献

Background: Social vulnerability reflects deficits in social resources that may disproportionally impact older women with HIV (WWH) in Africa.

Objective: To examine the relationship between scores on an adapted Social Vulnerability Index (SVI) and measures of physical frailty and disability.

Design: Cross-sectional study.

Participants: 293 women (156 HIV-positive, 137 HIV-negative) aged >40 years in Mombasa, Kenya who were recruited from the Mombasa Cohort of women with a history of transactional sex and the general community.

Measurements: Assessments including an SVI adapted for the Kenyan context (SVI-Kenya), the Clinical Frailty Scale (CFS) and the World Health Organization Disability Assessment (WHODAS) were compared by HIV status. Linear regression was used to determine the relationship between SVI-Kenya score and both CFS and WHODAS, after adjustment for potential confounders. An exploratory analysis identified factors associated with SVI-Kenya score. An age-by-HIV-status interaction term was tested and retained if significant in unadjusted analyses.

Results: Mean SVI-Kenya score was 34.1 (SD, 12.9) and did not differ by HIV status (p=0.49). In adjusted analyses, each increment in SVI-Kenya score was associated with a 1.10-point higher WHODAS score (95%CI:0. 21, 1.99), but not with CFS. In exploratory analysis, factors associated with higher SVI-Kenya score included WHODAS score (adjusted beta=0.20; 95%CI: 0.05,0.35) and Mombasa Cohort recruitment (adjusted beta=5.91; 95%CI: 2.07,9.75). Being married, separated/divorced, or widowed predicted lower SVI-Kenya scores (by 5.52-9.09 points) compared to being single. Age did not predict SVI-Kenya score.

Conclusion: Social vulnerability as measured by the SVI-Kenya score was associated with greater disability but not physical frailty. Social vulnerability was also associated with prior sex work and never having married. Our findings suggest that social vulnerability is a distinct construct from physical frailty among older Kenyan women and not related to HIV status.

Background: The global increase in multimorbidity among older adults is a result of ongoing epidemiological and demographic transitions. This study focuses on the prevalence and determinants of frailty in this demographic in India, accounting for the potential mediating role of food insecurity.

Objectives: To determine the prevalence and determinants of frailty among older Indian adults with multimorbidity, and to ascertain the mediating effect of food insecurity on frailty.

Design: Cross-sectional analysis of cohort study data.

Setting: Analysis of data from the Longitudinal Aging Study in India (LASI) Wave 1 (2017-2018).

Participants: 31,902 individuals aged 60 and above of whom 7900 were categorized as having multimorbidity.

Measurements: Frailty was assessed using a modified Fried scale. Details on sociodemographic factors, lifestyle choices, and health-related variables were collected through face-to-face participant interviews. Multimorbidity was defined as the presence of two or more chronic conditions such as hypertension, diabetes, cancer, chronic lung disease, chronic heart disease, stroke, bone disease, neurological or psychiatric problems, and high cholesterol. Statistical analysis was conducted using Stata 15.1.

Results: The weighted prevalence of frailty in individuals with multimorbidity was 30.31% (95% CI: 28.17, 32.54), significantly higher than those without multimorbidity (23.81%, 95% CI: 22.90, 24.74) (P<0.001). Frailty prevalence was higher in women (33.27%) than in men (26.56%) among those with multimorbidity. In the group with multimorbidity, age ≥75 (years), middle MPCE quintile, lower educational attainment, unemployment, and low body mass index was associated with higher odds of frailty. Mediation analysis showed that 3.47% of the association between multimorbidity and frailty was mediated by food insecurity.

Conclusion: Frailty is prevalent among older adults with multimorbidity in India, with significant disparities based on gender, age, socioeconomic status, and body mass index. Food insecurity partially mediates the relationship between multimorbidity and frailty, highlighting the need for targeted interventions addressing both health and nutritional insecurities in this population.

More than half of older adults are frail or prefrail in the United States, and hospital-associated deconditioning likely increases this risk. However, the impact of frailty on potential functional improvements after hospital discharge is poorly understood. We sought to identify the influence of baseline frailty on gait speed change in older adults receiving home health physical therapy (PT) after hospital discharge. The severity of frailty was assessed using Cardiovascular Health Study frailty criteria (weakness, slowness, weight loss, physical inactivity, and exhaustion). Gait speed was measured at baseline and 60-days post-hospital discharge. Upon admission to home health rehabilitation services, half of older adults (total N=250) were considered frail, with slowness (90%) and weakness (75%) being the most common characteristics. Older adults, whether pre-frail or frail, demonstrated similar and clinically meaningful improvements in gait speed after receiving home health rehabilitation for 60 days following hospital discharge. These results suggest that clinicians caring for older adults in the hospital can counsel both pre-frail and frail patients that, with home health rehabilitation, clinically significant improvements in function can be expected over the 2 months following discharge. Furthermore, we observed encouraging gait speed improvement with physical therapy following hospitalization in older adults. Results can inform anticipatory guidance on hospital discharge.

Background: Frailty is a clinical, geriatric syndrome linked to disability and mortality; and may be associated with a variety of factors among underrepresented and underserved women living with HIV (WLWH) and without HIV (WLWOH) transitioning through the adult life course.

Objectives: Determine whether a published set of factors associated cross-sectionally with frailty in WLWH and similar WLWOH at average age 39 years in 2005/2006 were associated with frailty in 2018/2019 among women who initiated frailty assessments at age ≥40 years, or whether a new set of factors were associated with frailty.

Design: Cross-sectional analyses within a longitudinal cohort study.

Setting: The multi-center Women's Interagency HIV Study (WIHS).

Participants: 1285 participants (951 WLWH, 334 WLWOH), median age 53 years (interquartile range 47-58 years).

Measurements: The Fried Frailty Phenotype (FFP) in association with 23 factors representing HIV serostatus, other infections, sociodemographic factors, health behaviors, and chronic diseases.

Results: Frailty prevalence was 11.1% in 2018/2019 (12.6% among WLWOH, 9.6% among WLWH, p=0.121). The published 2005/2006 final multivariable stepwise regression model contained 9 predictors of frailty. When refit to women in 2018/2019, only age ≥50 years and annual income ≤$12,000 were independently positively associated with frailty; other significant 2005/2006 factors, HIV serostatus, CD4+ count <500 cells/mL among WLWH, smoking, drinking, FIB-4 and eGFR, were not. A newly-derived stepwise model considering all 23 predictors measured in 2018/2019, showed independent positive associations between frailty and age ≥50 years, annual income ≤$12,000, obesity (body mass index (BMI) ≥30kg/m2), and history of tuberculosis and cancer.

Conclusion: Different chronic and infectious disease factors were associated with frailty among WLWH and WLWOH over the adult life course. Understanding factors associated with frailty by adult life stage, allows identification and implementation of novel, temporal interventions to alleviate frailty-associated outcomes and enhance quality of life among WLWH and WLWOH.

Background: Both food insecurity (FI) and vision impairment (VI), which are linked, have been independently associated with frailty and falls.

Objectives: Understand how FI and VI may together contribute to frailty and fall risk could improve insight into these growing public health challenges.

Design, setting, participants, measurements: This study included 5,963 participants aged 65 and older enrolled in the National Health and Aging Trends Study. Participants were divided into four exposure groups ("No FI or VI," "FI, no VI," "VI, no FI," and "Both") based on self-report. The Fried Frailty Index and self-reported falls were assessed annually. We used adjusted logistic and Poisson regression models to examine cross-sectional associations and generalized estimating equations to examine longitudinal associations between FI/VI status and falls and frailty outcomes.

Results: Most study participants reported neither FI nor VI (n=5169, 86.7%); however, having both FI and VI (n=57, 1%) was cross-sectionally associated with higher frailty score and higher odds of falling multiple times in the last year. FI and/or VI were longitudinally associated with higher frailty score and increased frailty risk, with the strongest association for Both (RRR=1.29, 95% CI 1.23, 1.58; OR=3.18, 95% CI 1.78, 5.69), and with falling, again highest among those with Both, for one (OR=2.47, 95% CI 1.41, 3.96) and multiple (OR=2.46, 95% CI 1.50, 4.06) falls in the last year.

Conclusion: Clinical and public health interventions could address the intersection of FI and VI with the aim of ameliorating the impact of these risk factors and health outcomes.

Background: This study aimed to evaluate the implementation stage of Malaysia's GeKo-Integrated Service Delivery (ISD) model for frailty management in primary care and explore its effectiveness in improving frailty scores.

Methods: The implementation stage of Malaysia's first three GeKo- ISD clinics was assessed using the WHO-ICOPE (Integrated Care of the Older Persons) scorecard. This involved evaluating documents related to the GeKo services and conducting in-depth interviews with key informants identified from those documents. The efficacy of GeKo-ISD was assessed by documenting the change in mean frailty scores between baseline and 3 months post intervention, measured by the Pictorial Fit Frail Scale Malay Version (PFFS-M), in patients who received GeKo-ISD care from October 2022 to April 2023.

Results: All three GeKo clinics achieved the sustaining implementation level, scoring a total of 50 out of 52. The paired t-test reported a significant reduction (p= 0.001) in the PFFS-M scores from baseline to 3 months after the GeKo-ISD intervention. The mean (SD) scores were 8.6 (4.6) at baseline and 7.0 (4.1) at 3 months post-intervention.

Conclusion: GeKo-ISD is a comprehensive approach of integrated care for older people, leveraging existing public funded primary care infrastructure. It shows promise, was impacted by the pandemic but now, with support from the government, exists in 32 centers across one state in Malaysia.

Background: Knowledge of frailty is essential for meeting the Accreditation Council for Graduate Medical Education core competencies for US trainees. The UK General Medical Council requires that frailty be included in undergraduate and graduate medical education curricula. Trainees are expected to appropriately modify care plans and help make patient-centered decisions, while incorporating diagnostic uncertainty, such as frailty, in older adults. Little is known about current needs for frailty instruction in graduate medical education in the US and beyond.

Objective: We sought to capture faculty perceptions on how frailty should be defined and identified, and what aspects and level of detail should be taught to residents.

Design: The authors developed a 4-item short response questionnaire, and faculty had the option to respond via electronic survey or via semi-structured interviews.

Setting and subjects: Respondents included 24 fellowship-trained geriatricians based at 6 different academic medical centers in a single urban metropolitan area.

Methods: An invitation to participate in either an electronic survey or semi-structured virtual interview was e-mailed to 30 geriatricians affiliated with an academic multi-campus Geriatric Medicine fellowship. Responses were transcribed and coded independently by two authors.

Results: Responses were received from 24 geriatricians via a combination of digital questionnaires (n=18) and semi-structured online interviews (n=6), for a response rate of 80%. Responses revealed significant diversity of opinion on how to define and identify frailty and how these concepts should be taught.

Conclusions: As frailty is increasingly incorporated into clinical practice, consensus is needed on how to define and teach frailty to residents.

Background: Population aging might increase the prevalence of undernutrition in older people, which increases the risk of frailty. Numerous studies have indicated that myokines are released by skeletal myocytes in response to muscular contractions and might be associated with frailty. This study aimed to evaluate whether myokines are biomarkers of frailty in older inpatients with undernutrition.

Methods: The frailty biomarkers were extracted from the Gene Expression Omnibus and Genecards datasets. Relevant myokines and health-related variables were assessed in 55 inpatients aged ≥ 65 years from the Peking Union Medical College Hospital prospective longitudinal frailty study. Serum was prepared for enzyme-linked immunosorbent assay using the appropriate kits. Correlations between biomarkers and frailty status were calculated by Spearman's correlation analysis. Multiple linear regression was performed to investigate the association between factors and frailty scores.

Results: The prevalence of frailty was 13.21%. The bioinformatics analysis indicated that leptin, adenosine 5'-monophosphate-activated protein kinase (AMPK), irisin, decorin, and myostatin were potential biomarkers of frailty. The frailty group had significantly higher concentrations of leptin, AMPK, and MSTN than the robust group (p < 0.05). AMPK was significantly positively correlated with frailty (p < 0.05). The pre-frailty and frailty groups had significantly lower concentrations of irisin than the robust group (p < 0.05), whereas the DCN concentration did not differ among the groups. Multiple linear regression suggested that the 15 factors influencing the coefficients of association, the top 50% were the ADL score, MNA-SF score, serum albumin concentration, urination function, hearing function, leptin concentration, GDS-15 score, and MSTN concentration.

Conclusions: Proinflammatory myokines, particularly leptin, myostatin, and AMPK, negatively affect muscle mass and strength in older adults. ADL and nutritional status play major roles in the development of frailty. Our results confirm that identification of frailty relies upon clinical variables, myokine concentrations, and functional parameters, which might enable the identification and monitoring of frailty.

Objectives: To examine the association between social frailty and life-space activities, and determine whether a combined status of life-space activities and social frailty is associated with risk of disability among older adults.

Design: A prospective cohort study.

Setting and participants: The participants were 8,301 older adults (mean age 72.9 ± 5.6 years, women [53.3%]) from a community setting.

Methods: Life-space activities were evaluated using the Active Mobility Index (AMI) to assess activities in each life-space (distance from the respondent's home: up to 1 km, 1-10 km, or greater than 10 km) during the past 1 month. Activities were also assessed according to physical or social activity. Social frailty and characteristics were measured at the baseline. Incident disability was assessed according to long term care insurance.

Results: The lowest scoring group was based on the quartile in each of the AMI scores (Q1), with reference to the highest scoring group, which had a higher odds ratios for social frailty (AMI total score Q1: OR 4.32, 95% CI 3.43-5.45, AMI physical score Q1: 2.19, 95% CI 1.79-2.69, AMI social score Q1: 5.04, 95% CI 3.94-6.44). During the follow-up (mean 23.5 months), 330 participants had incident disability. Incident disability was associated with social frailty. Combined status of social frailty and low AMI increased the risk of disability (HR 2.15, 95% CI 1.52-3.03), with reference to non-frailty and higher AMI scores.

Conclusions and implications: Social frailty or reduced activity in life-space assessment were identified as risk factors for incident disability. To decrease the risk of disability, the development of an intervention program to enhance activities and cope with social frailty is required.

Background: Social vulnerability interacts with frailty and influences individuals' health status. Although frailty and social vulnerability are highly predictive of adverse outcomes, their relationship with self-perceived health(SPH) has been less investigated.

Methods: Data are from the Irish Longitudinal Study on Ageing(TILDA), a population-based longitudinal study of ageing. We included 4,222 participants aged ≥50 years (age 61.4±8.5 years;women 56%) from Wave 1 (2009-2011) followed over three longitudinal waves (2012,2014-2015,2016). Participants responded to single questions with five response options to rate their 1)physical health, 2)mental health, and 3)health compared to peers. 30-item Frailty (FI) and Social Vulnerability (SVI) indices were calculated using standardised methods. Multivariable regression analyses were performed to establish the association between FI and SVI cross-sectionally and longitudinally over 6 years.

Results: Cross-sectionally, SVI (mean:0.40±0.08; range:0.14-0.81) and FI (mean: 0.13±0.08; range:0.10-0.58) were modestly correlated (r=0.256), and independently associated with poor physical health (SVI: OR 1.43, 95%CI 1.15-1.78; FI: OR 3.16, 95%CI 2.54-3.93), poor mental health (SVI: OR 1.65, 95%CI 1.17-2.35; FI: OR 3.64, 95%CI 2.53-5.24), and poor health compared to peers (SVI: OR 1.41,95%CI 1.06-1.89; FI: OR 3.86, 95%CI 2.9-5.14). Longitudinally, FI and SVI were independently and positively associated with poor physical health (SVI: β 1.08, 95%CI 0.76-1.39; FI: β 1.97, 95%CI 1.58-2.36), poor mental health (SVI: β 1.18, 95%CI 0.86-1.5; FI: β 1.58, 95%CI 1.2-1.97), and poor overall health compared to peers (SVI: β 0.78, 95%CI 0.89-1.33; FI: β 1.74, 95%CI 0.47-1.1).

Conclusions: In a large cohort of community-dwelling older adults, frailty and social vulnerability were associated with poor SPH and with risk of SPH decline over six years.