scholarly journals Spousal Concordance of Physical Frailty in Older Korean Couples

2020 ◽  
Vol 17 (12) ◽  
pp. 4574 ◽  
Author(s):  
Suah Kang ◽  
Miji Kim ◽  
Chang Won Won
Keyword(s):  
Risk Factor ◽  
Married Couples ◽  
Limited Data ◽  
Contributing Factors ◽  
Physical Frailty ◽  
Frailty Phenotype ◽  
Frailty Status ◽  
Spousal Concordance ◽  
Logistic Regressions ◽  
Association Data

Marital status is an important risk factor for physical frailty. However, there are limited data on spousal concordance of physical frailty among married couples. Here, we evaluate the spousal concordance of frailty as defined by the Fried frailty phenotype and specific phenotype components that contribute to this association. Data on 315 married couples (630 individuals) aged between 70 and 84 years were obtained from the Korean Frailty and Aging Cohort Study (KFACS). Multivariate logistic regressions were used for the analysis. After adjusting for covariates (age, body mass index, education, house ownership, comorbidity, cognition, depressive symptoms, cohabitation with adult children for both partners), a husband’s frailty was positively associated with his wife’s frailty (odds ratio (OR) 3.34, 95% confidence interval (CI) 1.04–10.73, p < 0.05), and a wife’s frailty was significantly associated with her husband’s frailty (OR 4.62, 95% CI 1.31–16.33, p < 0.05), indicating a greater effect of the frailty status of the spouse among women than among men. Among the five components of the Fried frailty phenotype, weight loss, slowness, and exhaustion were the main contributing factors to the spousal association for frailty. In conclusion, having a frail spouse is a strong and independent risk factor for frailty among community-living older adults.

scholarly journals Toward Using a Smartwatch to Monitor Frailty in a Hospital Setting: Using a Single Wrist-Wearable Sensor to Assess Frailty in Bedbound Inpatients

Gerontology ◽  
2017 ◽  
Vol 64 (4) ◽  
pp. 389-400 ◽  
Author(s):  
Hyoki Lee ◽  
Bellal Joseph ◽  
Ana Enriquez ◽  
Bijan Najafi
Keyword(s):  
Frailty Index ◽  
Hospital Setting ◽  
Area Under The Curve ◽  
Screening Tools ◽  
Recursive Feature Elimination ◽  
Physical Frailty ◽  
Frailty Phenotype ◽  
Frailty Status ◽  
Flexion Extension ◽  
Sensor Configuration

Background: While various objective tools have been validated for assessing physical frailty in the geriatric population, these are often unsuitable for busy clinics and mobility-impaired patients. Recently, we have developed a frailty meter (FM) using two wearable sensors, which allows capturing key frailty phenotypes (weakness, slowness, and exhaustion), by testing 20-s rapid elbow flexion-extension test. Objective: In this study, we proposed an enhanced automated algorithm to identify frailty using a single wrist-worn sensor. Methods: The data collected from 100 geriatric inpatients (age: 78.9 ± 9.1 years, 49% frail) were reanalyzed to validate the new algorithm. The frailty status of the participants was determined using a validated modified frailty index. Different FM phenotypes (31 features) including velocity of elbow rotation, decline in velocity of elbow rotation over 20 s, range of motion, etc. were extracted. A regression model, bootstrap with 2,000 iterations, and recursive feature elimination technique were used for optimizing the FM parameters and identifying frailty using a single wrist-worn sensor. Results: A strong agreement was observed between two-sensor and wrist-worn sensor configuration (r = 0.87, p < 0.001). Results suggest that the wrist-worn FM with no demographic information still yields a high accuracy of 80.0% (95% CI: 79.7-80.3%) and an area under the curve of 87.7% (95% CI: 87.4-87.9%) to identify frailty status. Results are comparable with two-sensor configuration, where the observed accuracy and area under the curve were 80.6% (95% CI: 80.4-80.9%) and 87.4% (95% CI: 87.1-87.6%), respectively. Conclusion: The simplicity of FM may open new avenues to integrate wearable technology and mobile health to capture frailty status in a busy hospital setting. Furthermore, the reduction of needed sensors to a single wrist-worn sensor allows deployment of the proposed algorithm in the form of a smartwatch application. From the application standpoint, the proposed FM is superior to traditional physical frailty-screening tools in which the walking test is a key frailty phenotype, and thus they cannot be used for bedbound patients or in busy clinics where administration of gait test as a part of routine assessment is impractical.

scholarly journals Prevalence of Physical Frailty: Results from the DO-HEALTH Study

2021 ◽  
pp. 1-8
Author(s):  
M. Gagesch ◽  
P.O. Chocano-Bedoya ◽  
L.A. Abderhalden ◽  
G. Freystaetter ◽  
A. Sadlon ◽  
...  
Keyword(s):  
Controlled Trial ◽  
Frailty Index ◽  
Female Gender ◽  
Community Dwelling ◽  
Health Study ◽  
Geriatric Syndrome ◽  
Physical Frailty ◽  
Frailty Phenotype ◽  
Cross Sectional ◽  
Frailty Status

Background: Frailty is a geriatric syndrome associated with multiple negative health outcomes. However, its prevalence varies by population and instrument used. We investigated frailty and pre-frailty prevalence by 5 instruments in community-dwelling older adults enrolled to a randomized-controlled trial in 5 European countries. METHODS: Cross-sectional baseline analysis in 2,144 DO-HEALTH participants recruited from Switzerland, Austria, France, Germany, and Portugal with complete data for frailty. Frailty status was assessed by the Physical Frailty Phenotype [PFP], SOF-Frailty Index [SOF-FI], FRAIL-Scale, SHARE-Frailty Instrument [SHARE-FI], and a modified SHARE-FI, and compared by country, age, and gender. Logistic regression was used to determine relevant factors associated with frailty and pre-frailty. RESULTS: Mean age was 74.9 (±4.4) years, 61.6% were women. Based on the PFP, overall frailty and pre-frailty prevalence was 3.0% and 43.0%. By country, frailty prevalence was highest in Portugal (13.7%) and lowest in Austria (0%), and pre-frailty prevalence was highest in Portugal (57.3%) and lowest in Germany (37.1%). By instrument and overall, frailty and pre-frailty prevalence was highest based on SHARE-FI (7.0% / 43.7%) and lowest based on SOF-FI (1.0% / 25.9%). Frailty associated factors were residing in Coimbra (Portugal) [OR 12.0, CI 5.30-27.21], age above 75 years [OR 2.0, CI 1.17-3.45], and female gender [OR 2.8, CI 1.48-5.44]. The same three factors predicted pre-frailty. CONCLUSIONS: Among relatively healthy adults age 70 and older enroled to DO-HEALTH, prevalence of frailty and pre-frailty differed significantly by instrument, country, gender, and age. Among instruments, the highest prevalence of frailty and pre-frailty was documented by the SHARE-FI and the lowest by the SOF-FI.

Physical Frailty and Future Costs of Long-Term Care in Older Adults: Results from the NCGG-SGS

Gerontology ◽  
2021 ◽  
pp. 1-10
Author(s):  
Hyuma Makizako ◽  
Hiroyuki Shimada ◽  
Kota Tsutsumimoto ◽  
Keitaro Makino ◽  
Sho Nakakubo ◽  
...  
Keyword(s):  
Older Adults ◽  
Long Term Care ◽  
Community Dwelling ◽  
Physical Frailty ◽  
Care Needs ◽  
Frailty Phenotype ◽  
Term Care ◽  
Frailty Status ◽  
Community Dwelling Older Adults

<b><i>Introduction:</i></b> Frailty is associated with adverse outcomes, but few studies have determined associations between the frailty phenotype and measures of healthcare burden, including long-term care insurance (LTCI) costs, in older community-dwelling populations. <b><i>Objective:</i></b> The aim of this study was to examine the association between frailty status and subsequent LTCI costs in Japanese community-dwelling older adults. <b><i>Methods:</i></b> The prospective data were from a cohort study (National Center for Geriatrics and Gerontology-Study of Geriatric Syndromes [NCGG-SGS]). The participants were community-dwelling older adults (mean age 71.8 years, women 50.7%) participating in an NCGG-SGS baseline examination held between August 2011 and February 2012 in Obu, Japan (<i>N</i> = 4,539). At baseline, we assessed the physical frailty phenotype using the Japanese version of the CHS criteria and categorized it as robust, pre-frail, or frail. We also ascertained care-needs certification and total costs using long-term care services in Japan’s public LTCI system during the 29 months. <b><i>Results:</i></b> During the 29-month follow-up period, 239 participants (5.3%) required the LTCI system’s care-needs certification and 163 participants (3.6%) used LTCI services. Participants classified as frail (odds ratio 5.85, 95% confidence interval 3.54–9.66) or pre-frail (2.40, 1.58–3.66) at the baseline assessment had an increased risk of requiring care-needs certification compared with robust participants. The mean total costs for LTCI services during the 29 months were ¥6,434 ($63.1) for robust, ¥19,324 ($189.5) for pre-frail, and ¥147,718 ($1,448.2) for frail participants (1 US dollar = 102 Japanese yen in July 2014). There were significantly higher costs associated with advancing frailty status. Individual frailty components (slowness, weakness, exhaustion, low activity, and weight loss) were also associated with higher total costs for using LTCI services. <b><i>Discussion/Conclusion:</i></b> Frail community-dwelling older adults had a higher risk of requiring the LTCI system’s care-needs certification and the subsequent total LTCI costs.

Knowledge, awareness and perceptions of diabetes mellitus among the Saudi population

2020 ◽  
Vol 9 (6) ◽  
pp. 413-422
Author(s):  
Muhammad H Mujammami ◽  
Abdulaziz A Alodhayani ◽  
Mohammad Ibrahim AlJabri ◽  
Ahmad Alhumaidi Alanazi ◽  
Sultan Sayyaf Alanazi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Social Media ◽  
Risk Factor ◽  
Healthcare Workers ◽  
Health Workers ◽  
Saudi Population ◽  
Limited Data ◽  
High Prevalence ◽  
Associated Risk Factors

Background: High prevalence of undiagnosed cases of diabetes mellitus (DM) has increased over the last two decades, most patients with DM only become aware of their condition once they develop a complication. Limited data are available regarding the knowledge and awareness about DM and the associated risk factors, complications and management in Saudi society. Aim: This study aimed to assess knowledge of DM in general Saudi society and among Saudi healthcare workers. Results: Only 37.3% of the participants were aware of the current DM prevalence. Obesity was the most frequently identified risk factor for DM. Most comparisons indicated better awareness among health workers. Conclusion: A significant lack of knowledge about DM in Saudi society was identified. Social media and educational curriculum can improve knowledge and awareness of DM.

Frailty, with or without Cognitive Impairment, is a Strong Predictor of Recurrent Falls in a US Population-Representative Sample of Older Adults

2021 ◽  
Author(s):  
Mei-Ling Ge ◽  
Eleanor M Simonsick ◽  
Bi-Rong Dong ◽  
Judith D Kasper ◽  
Qian-Li Xue
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Strong Predictor ◽  
Word Recall ◽  
Physical Frailty ◽  
Frailty Phenotype ◽  
Clock Drawing Test ◽  
Recurrent Falls ◽  
Health Aging ◽  
Marginal Means

Abstract Background Physical frailty and cognitive impairment have been separately associated with falls. The purpose of the study is to examine the associations of physical frailty and cognitive impairment separately and jointly with incident recurrent falls among older adults. Methods The analysis included 6000 older adults in community or non-nursing home residential care settings who were ≥65 years and participated in the National Health Aging Trends Study (NHATS). Frailty was assessed using the physical frailty phenotype; cognitive impairment was defined by bottom quintile of clock drawing test or immediate and delayed 10-word recall, or self/proxy-report of diagnosis of dementia, or AD8 score≥ 2. The marginal means/rates models were used to analyze the associations of frailty (by the physical frailty phenotype) and cognitive impairment with recurrent falls over 6 years follow-up (2012-2017). Results Of the 6000 older adults, 1,787 (29.8%) had cognitive impairment only, 334 (5.6%) had frailty only, 615 (10.3%) had both, and 3,264 (54.4%) had neither. After adjusting for age, sex, race, education, living alone, obesity, disease burden, and mobility disability, those with frailty (with or without cognitive impairment) at baseline had higher rates of recurrent falls than those without cognitive impairment and frailty (frailty only: Rate ratio (RR)=1.31, 95% confidence interval (CI)=1.18-1.44; both: RR=1.28, 95% CI=1.17-1.40). The association was marginally significant for those with cognitive impairment only (RR=1.07, 95% CI=1.00-1.13). Conclusions Frailty and cognitive impairment were independently associated with recurrent falls in non-institutionalized older adults. There was a lack of synergistic effect between frailty and cognitive impairment.

scholarly journals Dairy Product Intake and Long-Term Risk for Frailty among French Elderly Community Dwellers

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2151
Author(s):  
Berna Rahi ◽  
Hermine Pellay ◽  
Virginie Chuy ◽  
Catherine Helmer ◽  
Cecilia Samieri ◽  
...  
Keyword(s):  
Older Adults ◽  
Dairy Product ◽  
Food Group ◽  
Community Dwelling ◽  
Physical Frailty ◽  
Frailty Phenotype ◽  
Cross Sectional ◽  
Sectional Analysis ◽  
Community Dwelling Older Adults

Dairy products (DP) are part of a food group that may contribute to the prevention of physical frailty. We aimed to investigate DP exposure, including total DP, milk, fresh DP and cheese, and their cross-sectional and prospective associations with physical frailty in community-dwelling older adults. The cross-sectional analysis was carried out on 1490 participants from the Three-City Bordeaux cohort. The 10-year frailty risk was examined in 823 initially non-frail participants. A food frequency questionnaire was used to assess DP exposure. Physical frailty was defined as the presence of at least 3 out of 5 criteria of the frailty phenotype: weight loss, exhaustion, slowness, weakness, and low physical activity. Among others, diet quality and protein intake were considered as confounders. The baseline mean age of participants was 74.1 y and 61% were females. Frailty prevalence and incidence were 4.2% and 18.2%, respectively. No significant associations were observed between consumption of total DP or DP sub-types and frailty prevalence or incidence (OR = 1.40, 95%CI 0.65–3.01 and OR = 1.75, 95%CI 0.42–1.32, for a total DP consumption >4 times/d, respectively). Despite the absence of beneficial associations of higher DP consumption on frailty, older adults are encouraged to follow the national recommendations regarding DP.

scholarly journals The Framingham risk score is associated with incident frailty, or is it?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hui Shi ◽  
Mei-Ling Ge ◽  
Birong Dong ◽  
Qian-Li Xue
Keyword(s):  
Older Adults ◽  
Risk Score ◽  
Cox Regression ◽  
Activity Level ◽  
Cvd Risk ◽  
Frailty Phenotype ◽  
Frailty Status ◽  
Adverse Health Outcomes ◽  
Comorbidity Burden

Abstract Backgrounds Cardiovascular disease (CVD) risk factors are individually associated with frailty. This study examined whether Framingham CVD risk score (FRS) as an aggregate measure of CVD risk is associated with incident frailty among Chinese older adults. Methods This study used data from the China Health and Retirement Longitudinal Study. A sample of 3,618 participants aged 60 to 95 years and without CVD at baseline were followed for four years. FRS was calculated at baseline. Frailty status was defined as not-frail (0–2 criteria) or frail (3–5 criteria) based on the physical frailty phenotype consisting of five binary criteria (weakness, slowness, exhaustion, low activity level, and weight loss). After excluding subjects who were frail (n = 248) at baseline, discrete-time Cox regression was used to evaluate the relationship between FRS and incident frailty. Results During a median follow-up of 4.0 years, 323 (8 %) participants developed CVD and 318 (11 %) subjects had frailty onset. Higher FRS was associated with greater risk of incident frailty (HR: 1.03, 95 % CI: 1.00 to 1.06) after adjusting for education, marital status, obesity, comorbidity burden, and cognitive function. This association however was no longer significant (HR: 1.00, 95 % CI: 0.97 to 1.03) after additionally adjusting for age. These findings remained essentially unchanged after excluding subjects with depression (n = 590) at baseline or incident CVD (n = 323) during the 4-year follow-up. Conclusions The FRS was not independently associated with incident frailty after adjusting for chronological age. More research is needed to assess the clinical utility of the FRS in predicting adverse health outcomes other than CVD in older adults.

scholarly journals Frailty Status and All-Cause Mortality in the Community-Dwelling Older People: An Umbrella Review

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 488-489
Author(s):  
A R M Saifuddin Ekram ◽  
Joanne Ryan ◽  
Carlene Britt ◽  
Sara Espinoza ◽  
Robyn Woods
Keyword(s):  
Older People ◽  
Systematic Reviews ◽  
Community Dwelling ◽  
Umbrella Review ◽  
Frailty Phenotype ◽  
Frailty Status ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Community Dwelling Older People ◽  
Meta Analyses

Abstract Frailty is increasingly recognised for its association with adverse health outcomes including mortality. However, various measures are used to assess frailty, and the strength of association could vary depending on the specific definition used. This umbrella review aimed to map which frailty scale could best predict the relationship between frailty and all-cause mortality among community-dwelling older people. According to the PRISMA guidelines, Medline, Embase, EBSCOhost and Web of Science databases were searched to identify eligible systematic reviews and meta-analyses which examined the association between frailty and all-cause mortality in the community-dwelling older people. Relevant data were extracted and summarised qualitatively. Methodological quality was assessed by AMSTAR-2 checklist. Five moderate-quality systematic reviews with a total of 374,529 participants were identified. Of these, two examined the frailty phenotype and its derivatives, two examined the cumulative deficit models and the other predominantly included studies assessing frailty with the FRAIL scale. All of the reviews found a significant association between frailty status and all-cause mortality. The magnitude of association varied between individual studies, with no consistent pattern related to the frailty measures that were used. In conclusion, regardless of the measure used to assess frailty status, it is associated with an increased risk of all-cause mortality.

Prospective Associations of Physical Frailty With Future Falls and Fear of Falling: A 48-Month Cohort Study

2021 ◽  
Author(s):  
K Makino ◽  
S Lee ◽  
S Bae ◽  
I Chiba ◽  
K Harada ◽  
...  
Keyword(s):  
Older Adults ◽  
Cohort Study ◽  
Fear Of Falling ◽  
Community Dwelling ◽  
Cardiovascular Health Study ◽  
Physical Frailty ◽  
Frailty Status ◽  
Community Dwelling Older Adults ◽  
The Relationship

Abstract Objective The present study aimed to examine the prospective associations of physical frailty with future falls and fear of falling (FOF) among community-dwelling older adults. Methods A prospective cohort study with a 48-month follow-up was conducted in a Japanese community. Participants were 2469 community-dwelling older adults aged 65 years or older who completed baseline and follow-up assessments at intervals of 48±2 months. Primary outcomes were recent falls (defined as at least one fall within the past year) and FOF (determined by response to “Are you afraid of falling?”) at follow-up survey. Physical frailty, operationalized by the frailty phenotype (slowness, weakness, exhaustion, weight loss, and low activity) based on the criteria of the Japanese version of the Cardiovascular Health Study (J-CHS), was also assessed as a predictor of future falls and FOF. Results Multivariate logistic regression showed that pre-frailty or frailty increase the risk of not only future falls (OR: 1.57; 95%CI = 1.20-2.05) but also FOF (OR: 1.33; 95%CI = 1.05-1.69). In addition, the relationship between baseline frailty status and future falls remained significant after adjusting for baseline FOF (OR: 1.55; 95%CI = 1.19-2.02), and the relationship between baseline frailty status and future FOF also remained significant after adjusting for baseline falls (OR: 1.32; 95%CI = 1.04-1.68). Conclusions Frailty status may predict future falls and FOF among community-dwelling older adults. Strategies to prevent frailty may be beneficial to prevent not only future falls but also future FOF in a community setting. Impact Falls and FOF have a close relationship but a different clinical meaning. Older adults with physical frailty may require monitoring as high-risk not only for falls but also for FOF.

scholarly journals A Wife’s Separate Financial Arrangement in Contemporary Japan

2003 ◽  
Vol 24 (3) ◽  
pp. 381-401 ◽  
Author(s):  
Hiromi Ono ◽  
Ming-Ching Luoh
Keyword(s):  
Panel Study ◽  
Married Couples ◽  
The United States ◽  
Major Influence ◽  
Partial Support ◽  
Transaction Cost Economic ◽  
Bank Account ◽  
Economic Framework ◽  
Logistic Regressions ◽  
Cost Economic

This article tests the applicability of Treas’s transaction cost economic framework to contexts outside the allocation of bank accounts among married couples in the United States. Using the Japanese Panel Study of Consumer Life, the authors apply logistic regressions among Japanese couples who have joint accounts to predict (a) the chance that the wife has a separate bank account from the joint account and (b) the chance that she has an allowance. The results provide only partial support for the hypotheses based on Treas’s framework. Whereas Treas argues that the potential discontinuity of a marriage has a major influence on a couple’s separate financial arrangement, the study finds no evidence consistent with this argument. Although some of Treas’s hypotheses are well supported when predicting the chance that a Japanese wife has an allowance, the same hypotheses are not supported when predicting the chance that she has a separate bank account.

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