scholarly journals Associations between the settings of exercise habits and health-related outcomes in community-dwelling older adults

2015 ◽  
Vol 27 (7) ◽  
pp. 2207-2211 ◽  
Author(s):  
Keitaro Makino ◽  
Hikaru Ihira ◽  
Atsushi Mizumoto ◽  
Kotaro Shimizu ◽  
Toyoaki Ishida ◽  
...  
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 233-233
Author(s):  
Xiaocao Sun ◽  
Minhui Liu ◽  
Christina E Miyawaki ◽  
Yuxiao Li ◽  
Tianxue Hou ◽  
...  

Abstract Personality is associated with predictors of homebound status like frailty, incident falls, and depression. It has been rarely investigated whether personality predicts homebound status among older adults. Using the combining cross-sectional data of the Year 2013 and Year 2014 data from the National Health and Aging Trends Study (NHATS), this study examined the association between personality traits and homebound status in a sample of community-dwelling older adults aged 65 years and older (N=2,788). Homebound status (non-homebound, semi-homebound, and homebound) was determined by the frequency, difficulty, and help of outdoor mobility. Personality traits, including conscientiousness, agreeableness, openness, extraversion, and neuroticism were assessed using the 10-item Midlife Development Inventory on a rating scale from 1 (not at all) to 4 (a lot). Each personality trait was included as a predictor in an ordinal logistic regression model to examine its association with homebound status after adjusting demographic and health-related covariates. The sample was on average 79±7.53 years old, non-Hispanic White (72.0%), female (58.6%), living alone (35.4%) or with spouse/partner only (37.4%). Seventy-four percent, 18%, and 8% of participants were non-homebound, semi-homebound, and homebound, respectively. Homebound participants tended to be less-educated older females. The average scores of conscientiousness, agreeableness, openness, extraversion, and neuroticism were 3.19±0.75, 3.57±0.56, 2.81±0.83, 3.13±0.75, and 2.22±0.86, respectively. Among these five personality traits, high conscientiousness (OR=1.34, p<0.001) and extraversion (OR=1.16, p=.03) were associated with a reduced likelihood of being homebound. These findings provided a basis for potential personality assessment to identify and protect individuals with high homebound risk.


Drugs & Aging ◽  
2017 ◽  
Vol 34 (10) ◽  
pp. 785-792 ◽  
Author(s):  
Benoit Cossette ◽  
Maimouna Bagna ◽  
Modou Sene ◽  
Caroline Sirois ◽  
Gabrielle P. Lefebvre ◽  
...  

2018 ◽  
Vol 6 ◽  
pp. 205031211877558 ◽  
Author(s):  
Fairus Asma Mohd Hamidin ◽  
Siti Nur’Asyura Adznam ◽  
Zuriati Ibrahim ◽  
Yoke Mun Chan ◽  
Nur Hafizah Abdul Aziz

Objective: Frailty is a clinical syndrome with increased risk of poor health outcomes and particularly prevalent in older adults and community population. The study’s aim was therefore to determine the prevalence of frailty and its association with sociodemographic and socioeconomic characteristics, health-related status, and anthropometric measurements among community-dwelling older adults. Methods: A total of 279 older adults aged 60 years and above were randomly selected. Respondents were classified as non-frail (<2 criteria) or frail (≥3 criteria) based on the ‘phenotype of frailty’. A binary logistic regression was used to determine predictors of frailty. Results: The prevalence of frailty was 18.3%. The frail older adults were positively associated with advanced age, being unmarried, hospitalisation in the previous year, poor self-rated health, and lower body mass index. Discussion: These results give an overview on underlying effects and guiding actions for prevention programmes functioning to reverse and minimise the adverse effects of frailty syndrome.


Author(s):  
Heesook Son ◽  
Hyerang Kim

Technology enables home-based personalized care through continuous, automated, real-time monitoring of a participant’s health condition and remote communication between health care providers and participants. Technology has been implemented in a variety of nursing practices. However, little is known about the use of home mobility monitoring systems in visiting nursing practice. Therefore, the current study tested the feasibility of a home mobility monitoring system as a supportive tool for monitoring daily activities in community-dwelling older adults. Daily mobility data were collected for 15 months via home-based mobility monitoring sensors among eight older adults living alone. Indoor sensor outputs were categorized into sleeping, indoor activities, and going out. Atypical patterns were identified with reference to baseline activity. Daily indoor activities were clearly differentiated by sensor outputs and sensor outputs discriminated atypical activity patterns. During the year of monitoring, a health-related issue was identified in a participant. Our findings indicate the feasibility of a home mobility monitoring system for remote, continuous, and automated assessment of a participant’s health-related mobility patterns. Such a system could be used as a supportive tool to detect and intervene in the case of problematic health issues.


2015 ◽  
Vol 25 (7) ◽  
pp. 1735-1742 ◽  
Author(s):  
Maria Augusta Bessa Rebelo ◽  
Evangeline Maria Cardoso ◽  
Peter G. Robinson ◽  
Mario Vianna Vettore

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 824-825
Author(s):  
Sumi Lee ◽  
JuHee Lee

Abstract Objectives This study aimed to explore the risk factors associated with cognitive frailty(CF) among community-dwelling older adults, and to provide the impact of CF on health-related outcomes. Methods PubMed, EMBASE, Cochrane, PsycINFO, CINAHL, RISS, DBpia, NDSL, and KoreaMed databases were searched to retrieve studies. Two reviewers independently screened titles, abstracts and articles. The inclusion criteria are peer-reviewed articles written in English or Korean for community-dwelling older adults with both physical frailty and cognitive impairment present at the same time. Results A total of 3,513 were searched, and the final 33 were extracted according to the inclusion criteria. Physical factors affecting CF were the number of chronic disease, cardiovascular disease, activity of daily living(ADL), making telephone calls and shopping during instrumental ADL, and a Mini Nutrition Assessment–Short Form score. Psychological factor was depressive symptoms. Significant behavioral factors included self-reported physical activity, low vitamin D, smoking, frequent insomnia, and sedentary lifestyle. In social factors, social participation such as volunteering was identified as a protective factor. Mortality, followed by dementia was health related outcomes on CF, including ADL dependence, poor quality of life, and hospitalization. However, the CF-related fall was inconsistent. Conclusion A wide variety of factors have been presented in studies related to CF. In order to understand CF and improve health-related outcomes, older adults in CF should be screened as high-risk group. When the risk factors and protective factors of CF managed, better health-related outcomes will lead to successful aging of community-dwelling older adults.


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