Association between heart diseases, social factors and physical frailty in community‐dwelling older populations: The septuagenarians, octogenarians, nonagenarians investigation with centenarians study

2020 ◽  
Vol 20 (10) ◽  
pp. 974-979
Author(s):  
Nonglak Klinpudtan ◽  
Mai Kabayama ◽  
Yasuyuki Gondo ◽  
Yukie Masui ◽  
Yuya Akagi ◽  
...  
Keyword(s):  
Social Factors ◽  
Heart Diseases ◽  
Community Dwelling ◽  
Physical Frailty ◽  
Older Populations

scholarly journals The Association between heart diseases, social factors, and physical frailty in community-dwelling older populations: SONIC study

2020 ◽  
Author(s):  
Kei Kamide ◽  
Nonglak Klinpudtan ◽  
Mai Kabayama ◽  
Yasuyuki Gondo ◽  
Yukie Masui ◽  
...  
Keyword(s):  
Heart Disease ◽  
Social Interaction ◽  
Grip Strength ◽  
Social Factors ◽  
Gait Speed ◽  
Heart Diseases ◽  
Oldest Old ◽  
Social Contact ◽  
Community Dwelling ◽  
Physical Frailty

Abstract Objectives Physical frailty is geriatric syndrome and can increase the risk of adverse outcome in the older population. Heart diseases are associated with physical frailty but a few studies in community-dwelling old population. Therefore the aim of this study was to examine the association between heart diseases, social factors, and physical frailty in community-dwelling older populations including the oldest old people. Methods The cross-sectional study included 1882 participants in community-dwelling older and oldest-old people in three age groups: 73 (±1), 83 (±1), and 93(±1) from both urban and rural areas of Japan. Questionnaires on medical history, psycho-social factors, blood samples, physical examinations, the hand grip strength test, and gait speed were measured at the venue. Physical frailty was defined based on a slow gait speed or weak grip strength. Heart diseases were assessed by self-reported questionnaires. Social interaction was based on the frequency of going outdoors and direct social contact. Analyses were conducted mainly using multiple logistic regression with adjustments for physical frailty risk factors. Results Heart disease subjects had a higher prevalence of physical frailty than those without heart disease (slow gait speed: 69.6 vs. 56.2%, p<.001; slow gait speed or weak grip strength: 80 vs. 69.6%, p=.002). After adjusting the covariate factors, heart diseases were associated with a slow gait speed (OR=1.5; 95%CI: 1.03-2.20, p=.035). Social interaction was associated with a slow gait speed (frequency of going outdoors: OR=0.87, 95%CI 0.79-0.9, p=.008; frequency of direct social contact: OR=0.88, 95%CI 0.82-0.95, p=.001), a weak grip strength (frequency of going outdoors: OR=0.86, 95%CI 0.77-0.96, p=.005), and with physical frailty (frequency of going outdoors: OR=0.84, 95%CI 0.75-0.94, p=.002; frequency of direct social contact: OR=0.89, 95%CI 0.82-0.97, p=.007). Living alone and frequency of direct social contact were associated with physical frailty among heart disease patients. Conclusions Our findings indicate that in community-dwelling older people, heart diseases and social interaction were associated with physical frailty. Older people with heart disease, those living alone and the frequency of direct social contact were associated with physical frailty. Future research must involve a longitudinal study to clarify the causal relationship.

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 Association between Physical Frailty Subdomains and Oral Frailty in Community-Dwelling Older Adults

2021 ◽  
Vol 18 (6) ◽  
pp. 2931
Author(s):  
Ryo Komatsu ◽  
Koutatsu Nagai ◽  
Yoko Hasegawa ◽  
Kazuki Okuda ◽  
Yuto Okinaka ◽  
...  
Keyword(s):  
Older Adults ◽  
Gait Speed ◽  
Community Dwelling ◽  
Health Study ◽  
Cardiovascular Health Study ◽  
Physical Frailty ◽  
Cross Sectional ◽  
Important Indicator ◽  
Community Dwelling Older Adults ◽  
Oral Frailty

This cross-sectional study aimed to demonstrate the association between physical frailty subdomains and oral frailty. This study involved community-dwelling older adults (aged ≥65 years). Physical frailty was assessed with the Japanese version of the Cardiovascular Health Study criteria. Oral frailty was defined as limitations in at least three of six domains. Logistic regression analysis was used to analyze the association between physical frailty risk and oral frailty. In addition, we examined the association between physical frailty subdomains (gait speed, grip strength, exhaustion, low physical activity, and weight loss) and oral frailty. A total of 380 participants were recruited for this study. Overall, 18% and 14% of the participants were at risk of physical frailty and had oral frailty, respectively. Physical frailty risk (odds ratio (OR) = 2.40, 95% confidence interval (CI): 1.22–4.75, p = 0.012) was associated with oral frailty in multivariate analysis. In secondary analysis, among physical frailty subdomains, gait speed (OR = 0.85, 95% CI: 0.73–0.97, p = 0.019) was associated with oral frailty. The present findings suggest that physical frailty is closely related to oral frailty. Among physical frailty subdomains, decreased gait speed in particular is an important indicator related to the development of oral frailty.

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.

Personal and social factors that influence physical activity levels in community-dwelling stroke survivors: A systematic review of qualitative literature

2021 ◽  
pp. 026921552199369
Author(s):  
Karl R Espernberger ◽  
Natalie A Fini ◽  
Casey L Peiris
Keyword(s):  
Physical Activity ◽  
Social Factors ◽  
Self Efficacy ◽  
Data Extraction ◽  
Community Dwelling ◽  
Stroke Survivors ◽  
Activity Levels ◽  
Post Stroke ◽  
Physical Activity Levels ◽  
Mobile Community

Objectives: To determine the personal and social factors perceived to influence physical activity levels in stroke survivors. Data sources: Four electronic databases (MEDLINE, CINAHL, PubMed and Embase) were searched from inception to November 2020, including reference and citation list searches. Study selection: The initial search yielded 1499 papers, with 14 included in the review. Included articles were peer-reviewed, qualitative studies, reporting on the perceived factors influencing physical activity levels of independently mobile community-dwelling adults, greater than 3 months post stroke. Data extraction: Data extracted included location, study aim, design, participant and recruitment information and how data were collected and analysed. Data synthesis: Thematic analysis was undertaken to identify meanings and patterns, generate codes and develop themes. Five main themes were identified: (i) Social networks are important influencers of physical activity; (ii) Participation in meaningful activities rather than ‘exercise’ is important; (iii) Self-efficacy promotes physical activity and physical activity enhances self-efficacy; (iv) Pre-stroke identity related to physical activity influences post-stroke physical activity; and (v) Formal programmes are important for those with low self-efficacy or a sedentary pre-stroke identity. Conclusions: Physical activity levels in stroke survivors are influenced by social activities and support, pre-stroke identity, self-efficacy levels and completion of activities that are meaningful to stroke survivors.

FRAILTY AND NEURODEGENERATIVE DISEASE: ANTICIPATING THE FUTURE, EXPANDING THE FRAMEWORK

2017 ◽  
pp. 1-3
Author(s):  
D.M. LYRESKOG
Keyword(s):  
Neurodegenerative Diseases ◽  
Cognitive Decline ◽  
Health Care Professionals ◽  
Point Of Care ◽  
Physical Frailty ◽  
Cognitive Frailty ◽  
Ethical Assessment ◽  
Age Related ◽  
Older Populations ◽  
Age Related Cognitive Decline

The terminology surrounding frailty has grown increasingly popular for health care professionals and developers of technology over the last decades. Its concepts are useful in medical care, R&D, as well as in ethical assessment, and identify and define stages of age-related physical decline (1-5). Simultaneously, the phenomena of age-related cognitive decline and neurodegenerative diseases continue to pose a threat to older populations (6-8). Recognizing that physical frailty often co-occurs with cognitive decline, the concept of cognitive frailty is currently being developed (9-13). The terminology surrounding cognitive frailty is facilitating to bridge the gap between physical frailty and cognitive decline. However, it fails to capture important aspects of age-related neural decline and disease, that need to be addressed and included in a nuanced frailty-terminology. This matter is becoming increasingly urgent, as a growing number of promising technologies for neurodegenerative diseases are currently being developed. Nanotheranostics and Lab-on-a-chip devices, able to cross the blood-brain-barrier and analyze sample sizes as small as picolitres, may be able to detect neural decline at pre-symptomatic stages (14-16). This would facilitate early intervention, which is particularly important for preventing neurodegenerative diseases. Furthermore, the possibility of providing chip-based point-of-care devices for GPs would improve the accessibility to diagnosis for the general population (17). Additionally, neural bioprinting, optogenetics, and other innovative approaches to regenerative therapeutic neuromodulation raises hope that neural damage caused by decline and disease may be repaired (18-19).

Long and Short Sleep Duration and Physical Frailty in Community-Dwelling Older Adults

2018 ◽  
Vol 22 (9) ◽  
pp. 1066-1071 ◽  
Author(s):  
Sho Nakakubo ◽  
H. Makizako ◽  
T. Doi ◽  
K. Tsutsumimoto ◽  
R. Hotta ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Duration ◽  
Community Dwelling ◽  
Physical Frailty ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Community Dwelling Older Adults

scholarly journals The cross-scale correlations between individuals and nations in COVID-19 mortality

2021 ◽  
Author(s):  
Lei Zhang ◽  
Yu-Rong She ◽  
Guang-Hui She ◽  
Rong Li ◽  
Zhen-Su She
Keyword(s):  
Power Law ◽  
Social Factors ◽  
Early Stage ◽  
Bed Occupancy ◽  
Present Evidence ◽  
Medical Supply ◽  
The Cross ◽  
Older Populations

Abstract It is challenging to quantitatively clarify the determining medical and social factors of COVID-19 mortality, which varied by 2-3 orders of magnitude across countries. Here, we present evidence that the whole-cycle patterns of mortality follow a logistic law for 52 countries. A universal linear law is found between the ICU time in the early stage and the most important quantity regarding the epidemic: its duration. Saturation mortality is found to have a power law relationship with median age and bed occupancy, which quantitatively explains the great variation in mortality based on the two key thresholds of median age (=38) and bed occupancy (=15%). We predict that deaths will be reduced by 36% when the number of beds is doubled for countries with older populations. Facing the next wave of the epidemic, this model can make early predictions on the epidemic duration and medical supply reservation.

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