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 1137 Sleep Duration, Physical Activity And Cognitive Decline In Chinese Older Adults: Findings From The CHARLS

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A433-A433
Author(s):  
J Li ◽  
A J Alfini ◽  
F Yu ◽  
J A Schrack ◽  
V Cotter ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cognitive Decline ◽  
Sleep Duration ◽  
Community Dwelling ◽  
Cognitive Outcomes ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Long Sleep

Abstract Introduction Lack of physical activity and disturbed sleep have been linked to older adult’s poor cognitive outcomes; however, little is unknown how they interact to affect cognition long-term. The purpose of this study was to examine the association of baseline sleep duration and physical activity (PA) with change in cognition independently and interactively over four years. Methods The sample included 1126 community-dwelling older adults aged 60+ (mean age 67.1±5.9 years, 51% female) from the 2011 baseline and 2015 follow-up data of the China Health and Retirement Longitudinal Study (CHARLS). All variables were assessed through interviews. Sleep duration was measured with hours per 30-minute interval and categorized as very-short (<5h), short (5-6.5h), normal (7-8.5h), and long (≥9h). PA was calculated based on PA intensity, duration, and number of days. Cognition was a composite score of mental capacity, episodic memory, and visuospatial abilities. Data were analyzed using multiple regression (primary outcome: change in cognition; main independent variables: baseline sleep, PA, and sleep PA interaction). Results At baseline, 19% of participants had very-short sleep duration, 34.4% had short sleep, 39.2% had normal sleep, and 7.2% had long sleep. At follow-up, 57.5% of participants experienced cognitive decline (-3.5±2.5). After controlling for age, gender, education, region, body mass index, smoking, drinking, number of chronic conditions, pain, depression, and cognition at baseline, compared to participants reporting 7-8.5h sleep, those with ≥9h sleep had significantly greater decline in cognition [β=-1.4, 95% CI=2.4, -0.4], while those with <5h sleep [β=-0.5, 95% CI=-1.2, 0.2] and 5-6.5h sleep did not [β=-0.1, 95% CI=-0.7, 0.5]. PA was neither associated with cognitive decline, nor moderated the relationship between sleep duration and cognitive decline. Conclusion Long sleep might be a marker of cognitive decline in older adults. Prospective analysis, using objectively measured PA and sleep should be conducted to further examine these associations. Support National Institute of Nursing Research R00NR016484

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.

Self-reported and actigraphic short sleep duration in older adults

2021 ◽  
Author(s):  
Brienne Miner ◽  
Katie L. Stone ◽  
Jamie M. Zeitzer ◽  
Ling Han ◽  
Margaret Doyle ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Short Sleep

scholarly journals 0826 Gender Differences in Sleep Knowledge of Community-Dwelling Older Adults

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A315-A315
Author(s):  
C M Baldwin ◽  
D G Link ◽  
D W Coon ◽  
S F Quan
Keyword(s):  
Gender Differences ◽  
Sleep Disorders ◽  
Sleep Duration ◽  
Test Scores ◽  
Community Dwelling ◽  
Short Sleep Duration ◽  
Drowsy Driving ◽  
Men And Women ◽  
Short Sleep ◽  
Post Test

Abstract Introduction This work compares sleep knowledge of community-dwelling older adult men and women. Methods Data were derived from a community-based sleep training program that assessed pre- and post-test knowledge of obstructive sleep apnea (OSA), Insomnia, short sleep duration (SSD), restless leg syndrome (RLS), circadian rhythm disorders (CRD), and drowsy driving (DD) on a 1 (none) to 5 (great deal of knowledge) Likert-like scale. Data were analyzed with frequencies for age, sex, and sources of sleep information, and ANOVA to determine gender differences using SPSS (V24) with significance set at p<.05. Results Participants (N=158; 68% women) were 56 years and older residing in a retirement community. Pre-test means±standard deviations showed women versus men had greater knowledge of Insomnia (3.5±1.3 vs. 2.9±1.0, p=.004) whereas men showed more knowledge of DD (3.2±1.1 vs. 2.6±1.3, p=.01). A trend was noted for women to have greater knowledge of SSD (3.6±1.2 vs. 3.2±1.0, p=.05). Post-test ANOVA showed a further increase in Insomnia knowledge for women versus men (4.4±0.8 vs. 4.1±0.7, p=.04); however, overall pre/post-test scores for each of the sleep disorders across men and women increased significantly at the p<.001 level. Notably, more women to men reported accessing various resources for sleep information: newspapers/magazines (46:7), friends/family (29:9), the internet (25:11), TV (37:7), and physicians/nurses (45:20). Conclusion Findings indicate, prior to sleep training, women have greater knowledge of insomnia and short sleep duration, while men have more knowledge of drowsy driving. Women’s greater understanding of insomnia persists even after sleep training; however, pre- to post-test scores for both sexes across sleep disorders show significant learning outcomes. One possible reason for women’s greater knowledge of insomnia and short sleep could be their greater likelihood to access information on health and healthy lifestyle factors, including sleep, as well as their greater health care utilization. Support N/A

scholarly journals 1152 Genetic Risk Of Alzheimer’S Disease Is Linked To Short Sleep Duration

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A439-A439
Author(s):  
Y Leng ◽  
K Yaffe ◽  
S Ackley ◽  
M Glymour ◽  
W Brenowitz
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Sleep Duration ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Genetic Ancestry ◽  
European Ancestry ◽  
Short Sleep Duration ◽  
Short Sleep

Abstract Introduction Sleep disturbances including short sleep duration are common in older adults, especially in those with Alzheimer’s disease (AD). However, it is unclear to what extent sleep duration is a manifestation of AD disease process. We examined whether genetic variants related to AD influence sleep duration in middle-aged and older adults and estimated the causal effects of AD on sleep duration using a mendelian randomization (MR) analysis. Methods We examined 406,687 UK Biobank participants with Caucasian genetic ancestry who self-reported sleep duration at baseline (2006-2010). Sleep duration was assessed by asking: “About how many hours sleep do you get in every 24 hours? (please include naps).” A genetic risk score for AD (AD-GRS) was calculated as a weighted sum of 23 previously identified AD-related single nucleotide polymorphisms in individuals of European ancestry. We evaluated whether AD-GRS predicted sleep duration using linear regression, adjusting for age, sex and principle components for genetic ancestry. We also stratified the analysis by age at baseline (≤55y or >55y) and conducted a MR analysis to estimate the effect of AD (ICD-9/10 codes for AD/dementia diagnosis) on sleep duration. Results The participants (aged 56.91±8.00y) had an average sleep duration of 7.2 (Standard deviation [SD]=1.1) hours and AD-GRS of 0.11 (SD=0.40) (range: -1.15~1.85). Higher AD-GRS score predicted shorter sleep duration (b= -0.013, 95%CI:-0.022,-0.005), mainly among those aged over 55y (b= -0.023, 95%CI:-0.034,-0.012) and not in those 55y or younger (b= 0.006, 95%CI:-0.012,0.013); p for interaction by age=0.02. MR analysis using AD-GRS as an instrumental variable suggested that AD was associated with 1.76 hrs (b=-1.76, -2.62~ -0.90) shorter sleep duration in those aged >55y. Conclusion Using a novel analytical approach, we found that higher genetic risk for AD predicted shorter sleep duration among older adults. This suggests shared genetic pathways; the biologic processes that lead to AD may also affect sleep duration. Support Dr. Leng received support from the National Institute on Aging (NIA) 1K99AG056598, and from GBHI, Alzheimer’s Association, and Alzheimer’s Society (GBHI ALZ UK-19-591141).

Sign in / Sign up

Export Citation Format

Share Document