scholarly journals The Role of Physical Activity and Sedentary Behavior in Predicting Daily Pain and Fatigue in Older Adults: a Diary Study

2017 ◽  
Vol 52 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Saengryeol Park ◽  
Cecilie Thøgersen-Ntoumani ◽  
Jet J C S Veldhuijzen van Zanten ◽  
Nikos Ntoumanis
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Diary Study ◽  
Daily Pain

scholarly journals Daily pain catastrophizing predicts less physical activity and more sedentary behavior in older adults with osteoarthritis

Pain ◽  
2020 ◽  
Vol 161 (11) ◽  
pp. 2603-2610 ◽  
Author(s):  
Ruixue Zhaoyang ◽  
Lynn M. Martire ◽  
Beth D. Darnall
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Pain Catastrophizing ◽  
Daily Pain

scholarly journals Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
Activity Level ◽  
Time In Bed ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Vector Magnitude

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

scholarly journals Walkable Urban Design Attributes and Japanese Older Adults’ Body Mass Index: Mediation Effects of Physical Activity and Sedentary Behavior

2018 ◽  
Vol 33 (5) ◽  
pp. 764-767 ◽  
Author(s):  
Mohammad Javad Koohsari ◽  
Andrew T. Kaczynski ◽  
Tomoki Nakaya ◽  
Ai Shibata ◽  
Kaori Ishii ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Body Mass Index ◽  
Population Density ◽  
Sedentary Behavior ◽  
Urban Design ◽  
Mediation Effects ◽  
Design Attributes ◽  
Walk Score ◽  
Japanese Older Adults

Purpose: The purposes of this study were to examine associations between objectively measured walkable urban design attributes with Japanese older adults’ body mass index (BMI) and to test whether objectively assessed physical activity and sedentary behavior mediated such associations. Design: Cross-sectional. Setting: Matsudo City, Chiba Prefecture, Japan. Participants: Participants were 297 older residents (aged 65-84 years) randomly selected from the registry of residential addresses. Measures: Walkable urban design attributes, including population density, availability of physical activity facilities, intersection density, and access to public transportation stations, were calculated using geographic information systems. Physical activity, sedentary behavior, and BMI were measured objectively. Analysis: The relationships of walkable urban design attributes, Walk Score®, and BMI were examined by multiple linear regression with adjustment for covariates in all models. Mediation effects of the physical activity and sedentary behavior variables in these relationships were tested using a product-of-coefficients test. Results: Higher population density and Walk Score® were associated with lower BMI. Light and moderate-to-vigorous physical activities partially mediated the relationships between these walkable urban design attributes and BMI. Conclusions: Developing active-friendly environmental policies to (re)design neighborhoods may not only promote active transport behaviors but also help in improving residents’ health status in non-Western contexts.

Neighborhood walkability and health outcomes among older adults: The mediating role of physical activity

2016 ◽  
Vol 37 ◽  
pp. 16-25 ◽  
Author(s):  
Jelle Van Cauwenberg ◽  
Veerle Van Holle ◽  
Ilse De Bourdeaudhuij ◽  
Delfien Van Dyck ◽  
Benedicte Deforche
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Health Outcomes ◽  
Neighborhood Walkability ◽  
Mediating Role

scholarly journals Sedentary Behavior, Physical Activity, and Markers of Health in Older Adults

2013 ◽  
Vol 45 (8) ◽  
pp. 1493-1500 ◽  
Author(s):  
KEITH P. GENNUSO ◽  
RONALD E. GANGNON ◽  
CHARLES E. MATTHEWS ◽  
KEITH M. THRAEN-BOROWSKI ◽  
LISA H. COLBERT
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior

Abstract MP01: Association of Objectively-measured Physical Activity with Cardiovascular Risk in Mobility-limited Older Adults

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Thomas W Buford ◽  
Don G Hire ◽  
Walter T Ambrosius ◽  
Stephen D Anton ◽  
Timothy S Church ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Risk Score ◽  
Activity Data ◽  
Mean Intensity ◽  
Wear Time ◽  
Low Intensity ◽  
Objectively Measured ◽  
The Impact

Introduction: In middle-aged adults, time spent being sedentary is associated with cardiovascular (CV) health risks independent of structured physical activity (PA). However, data are sparse regarding the impact of sedentary behavior on CV risk in older adults. The extent to which the absolute duration or intensity of daily PA reduces CV risk in older adults is also unknown. Objectives: Our objective was to examine the cross-sectional association between objectively-measured sedentary behavior and predicted CV risk among older adults in the Lifestyle Interventions and Independence for Elders (LIFE) study. The secondary objective was to evaluate associations between the duration/intensity of daily PA and predicted CV risk. Methods: LIFE is a randomized clinical trial to determine if regular PA prevents mobility disability among mobility-limited older adults. Activity data were collected by hip-worn accelerometer at baseline prior to participation in study interventions. Only participants with at least three days of accelerometry data (≥ 10 hrs wear time) were included. Unadjusted and adjusted linear regression was used to model the relationship between accelerometry measures and predicted 10-year Framingham risk of Hard Coronary Heart Disease (HCHD; i.e. myocardial infarction or coronary death). Adjusted models included demographic confounders (e.g. education, race, income) and health parameters (e.g. depression, cognition, arthritis) not in the risk score. Accelerometry cut-points were (in counts/min): sedentary behavior: < 100; low-intensity activity: 100-499; higher intensity activity: > 500. Results: Participants (n = 1170; 78.7 ± [SD] 5.3 years; 66.1% female) had a median HCHD risk of 10.3% (25 th -75 th %: 5.7-18.6). Over a mean accelerometer wear time of 8.1 ± 3.2 days, participants spent 77.0 ± 8.2% of their time sedentary. They also spent 16.6 ± 5.0% of their time in low-intensity PA and 6.4 ± 4.4% in higher-intensity PA. For all PA performed (> 100 counts/min), participants achieved a median of 393.4 (337.8-473.5) counts/min. In the unadjusted model, time spent sedentary (β = 2.41; 95% CI : 1.94, 2.89), in low-intensity PA (-2.56; -3.03, -2.08), and in higher-intensity PA (-1.60; -2.09, -1.11) were all associated with HCHD risk (all p’s < 0.001). These associations remained significant after adjustment. The mean intensity of daily PA was not significantly associated with HCHD risk in any model (p > 0.05). Conclusions: Daily time spent being sedentary is positively associated with predicted 10-year HCHD risk among mobility-limited older adults. Duration, but not mean intensity, of daily PA is inversely associated with HCHD risk score in this population.

Impact of Social Isolation on Physical Activity and Factors Associated With Sedentary Behavior in Older Adults During the COVID-19 Pandemic

2021 ◽  
pp. 1-5
Author(s):  
Giovana Z. Mazo ◽  
Felipe Fank ◽  
Pedro S. Franco ◽  
Bruna da Silva Vieira Capanema ◽  
Franciele da Silva Pereira
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Social Isolation ◽  
Low Income ◽  
Low Income Countries ◽  
Moderate Physical Activity ◽  
Cross Sectional ◽  
Factors Associated ◽  
The Impact

The objective was to analyze the impact of social isolation on moderate physical activity and factors associated with sedentary behavior of older adults during the COVID-19 pandemic. This was a cross-sectional study involving 111 older adults (aged 71.0 ± 6.87 years). The data were collected at two time points: in November 2019 and in June 2020. There was a decline in moderate physical activity when the minutes/week were compared before and during social isolation (p < .001). Sedentary behavior was associated with the condition of living alone. Older adults who lived alone were 3.29 times more likely to spend 4 hr or more in sedentary behavior than those who lived with a partner (95% confidence interval [1.01, 10.74]). Government agencies must establish PA-related health promotion strategies, especially in developing and low-income countries. Therefore, home exercises need to be encouraged to prevent the consequences of this pandemic period.

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