scholarly journals Associations Between Perceived Neighborhood Walkability and Device-Based Physical Activity and Sedentary Behavior Patterns in Older Adults

2021 ◽  
pp. 1-9
Author(s):  
Mikael Anne Greenwood-Hickman ◽  
Rod Walker ◽  
John Bellettiere ◽  
Andrea Z. LaCroix ◽  
Boeun Kim ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Community Dwelling ◽  
Neighborhood Environment ◽  
Linear Regression Models ◽  
Neighborhood Walkability ◽  
Sit To Stand ◽  
Environment Scale ◽  
Gender And Age

Neighborhood walkability has been associated with self-reported sedentary behavior (SB) and self-reported and objective physical activity. However, self-reported measures of SB are inaccurate and can lead to biased estimates, and few studies have examined how associations differ by gender and age. The authors examined the relationships between perceived neighborhood walkability measured with the Physical Activity Neighborhood Environment Scale (scored 1.0–4.0) and device-based SB and physical activity in a cohort of community-dwelling older adults (N = 1,077). The authors fit linear regression models adjusting for device wear time, demographics, self-rated health, and accounting for probability of participation. The Higher Physical Activity Neighborhood Environment Scale was associated with higher steps (+676 steps/point on the Physical Activity Neighborhood Environment Scale, p = .001) and sit-to-stand transitions (+2.4 transitions/point, p = .018). Though not statistically significant, stratified analyses suggest an attenuation of effect for those aged 85 years and older and for women. Consistent with previous literature, neighborhood walkability was associated with more steps, though not with physical activity time. The neighborhood environment may also influence SB.

scholarly journals ASSOCIATIONS BETWEEN NEIGHBORHOOD CHARACTERISTICS AND SITTING PATTERNS IN OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S21-S21
Author(s):  
Mikael Anne Greenwood-Hickman ◽  
Rod L Walker ◽  
KatieRose Richmire ◽  
Andrea LaCroix ◽  
Eric B Larson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Neighborhood Environment ◽  
Self Report ◽  
Sitting Time ◽  
Neighborhood Characteristics ◽  
Linear Regression Models ◽  
Neighborhood Walkability ◽  
Sit To Stand ◽  
The Relationship

Abstract Neighborhood characteristics are associated with self-reported sedentary behavior (SB) in older adults. However, self-report measures are not able to accurately assess total sitting time nor detailed patterns of SB. This analysis explores the relationship between device-based SB variables from activPAL and neighborhood characteristics (demographics) in the ACT cohort. Neighborhood characteristics were assessed with the modified Physical Activity Neighborhood Environment Scale (PANES; scored 1.0-4.0, higher score, higher walkability). Data were analyzed using linear regression models adjusted for demographic factors. Higher PANES score was associated with higher daily steps (+1180 daily steps/point on PANES, p<0.001) and sit-to-stand transitions (+2.7 daily transitions/point on PANES, p=0.004). Confirming other studies, neighborhood walkability promotes physical activity. A novel finding was that sitting interruptions, which can only be assessed with devices, were also associated with higher neighborhood walkability, while total sitting time was not.

scholarly journals Neighborhood Environment and Objectively Measured Sedentary Behavior Among Older Adults: A Cross-Sectional Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Shao-Hsi Chang ◽  
Ru Rutherford ◽  
Ming-Chun Hsueh ◽  
Yi-Chien Yu ◽  
Jong-Hwan Park ◽  
...  
Keyword(s):  
Older Adults ◽  
Sedentary Behavior ◽  
Public Transportation ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Neighborhood Environment ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Street Intersection ◽  
Sedentary Bouts

Background: We examined the relationships between objectively assessed neighborhood environment and the patterns of sedentary behavior among older adults.Methods: A total of 126 community-dwelling older adults (aged 65 years or above) were recruited. Data on neighborhood environmental attributes (resident density, street intersection density, sidewalk availability, accessible destinations, and accessible public transportation), accelerometer-assessed total time and patterns of sedentary behavior (number and duration of bouts), and sociodemographic characteristics were collected. Multiple linear regression models were developed.Results: After adjustment for potential confounders, greater sidewalk availability was negatively related to the number of sedentary bouts (β = −0.185; 95% CI: −0.362, 0.015; p = 0.034) and sedentary bout duration (β = −0.180; 95% CI: −0.354, −0.011; p = 0.037).Conclusions: This study revealed that a favorable neighborhood environment characterized by sidewalk availability is negatively associated with sedentary behavior patterns in Taiwanese older adults. These findings are critical to inform environmental policy initiatives to prevent sedentary lifestyle in older adults.

scholarly journals Effects of Reallocating Time Spent in Different Physical Activity Intensities on Sarcopenia Risk in Older Adults: An Isotemporal Substitution Analysis

Biology ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 111
Author(s):  
Jort Veen ◽  
Diego Montiel-Rojas ◽  
Fawzi Kadi ◽  
Andreas Nilsson
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Protein Intake ◽  
Handgrip Strength ◽  
Community Dwelling ◽  
Self Report ◽  
Linear Regression Models ◽  
Age Related ◽  
Muscle Health ◽  
The Impact

The role of daily time spent sedentary and in different intensities of physical activity (PA) for the maintenance of muscle health currently remains unclear. Therefore, we investigated the impact of reallocating time spent in different PA intensities on sarcopenia risk in older adults, while considering PA type (muscle strengthening activities, MSA) and protein intake. In a sample of 235 community-dwelling older adults (65–70 years), a sarcopenia risk score (SRS) was created based on muscle mass assessed by bioimpedance, together with handgrip strength and performance on the five times sit-to-stand (5-STS) test assessed by standardized procedures. Time spent in light-intensity PA (LPA), moderate-to-vigorous PA (MVPA), and being sedentary was assessed by accelerometry, and PA type (MSA) by self-report. Linear regression models based on isotemporal substitution were employed. Reallocating sedentary time to at least LPA was significantly (p < 0.05) related to a lower SRS, which remained evident after adjustment by PA type (MSA) and protein intake. Similarly, reallocating time in LPA by MVPA was related to a significantly (p < 0.05) lower SRS. Our results emphasize the importance of displacing sedentary behaviours for more active pursuits, where PA of even light intensities may alleviate age-related deteriorations of muscle health in older adults.

Associations of neighborhood walkability with intensity‐ and bout‐specific physical activity and sedentary behavior of older adults in Japan

2019 ◽  
Vol 19 (9) ◽  
pp. 861-867 ◽  
Author(s):  
Shiho Amagasa ◽  
Shigeru Inoue ◽  
Noritoshi Fukushima ◽  
Hiroyuki Kikuchi ◽  
Tomoki Nakaya ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Neighborhood Walkability

Within-Person Dynamics of Older Adults’ Physical Activity, Sedentary Behavior, and Sit-to-Stand Transitions

2018 ◽  
Vol 1 (4) ◽  
pp. 159-164 ◽  
Author(s):  
Jaclyn P. Maher ◽  
David E. Conroy
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Multilevel Modeling ◽  
Daily Physical Activity ◽  
Daily Step ◽  
Step Counts ◽  
Sit To Stand ◽  
Naturally Occurring ◽  
Standing Up

This study evaluated how older adults’ daily physical activity covaries with naturally occurring variation in both the duration and patterning of daily sedentary behavior. Older adults (n = 95) wore activPAL3 monitors for 15 consecutive days. Multilevel modeling regressed daily step counts on the frequency of sit-to-stand transitions and the duration of sedentary behavior. At the person-level, older adults who sat less (b = −14.31, p < .001) and stood up more frequently (b = 41.08, p = .01) took more steps on average. At the within-person level, older adults took more steps on days when they sat less than usual (b = −8.29, p < .001) and stood up more frequently than usual (b = 52.75, p < .001). Older adults’ daily physical activity may be influenced by interrupting sedentary behavior more frequently as well as reducing total sedentary behavior. It may be easier to monitor the frequency of discrete behaviors, like standing up, than it is to monitor the duration of continuous behaviors (e.g., walking, sitting).

scholarly journals TIME SPENT IN SEDENTARY BEHAVIOR DOMAINS AND PHYSICAL FUNCTION IN U.S. OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S169-S169
Author(s):  
Nancy M Gell ◽  
Erin D Bouldin ◽  
Dori Rosenberg
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Physical Function ◽  
Computer Use ◽  
Sedentary Time ◽  
Community Dwelling ◽  
Sample Population ◽  
Linear Regression Models ◽  
Tv Watching

Abstract Previous studies have reported associations of sedentary time with worse health outcomes in older adults. Yet, little is known about the relationships between the contexts of sedentary time and health outcomes. The purpose of this study was to examine associations of physical function with time spent in a variety of sedentary behavior domains. We analyzed data from the 2016 National Health and Aging Trends Study, a nationally representative sample of community-dwelling Medicare beneficiaries. Estimated time being sedentary by domains (e.g., TV watching, computer use, resting/napping, eating, transportation, socializing, sitting and doing hobbies) were collected from a subset of the sample population (N=2157). The Short Physical Performance Battery (SPPB) measured physical function. Linear regression models were conducted adjusting for sociodemographics, health conditions, pain, and dementia. More time watching TV and resting/napping was significantly associated total SPPB scores (p &lt; 0.01). In adjusted models, lower SPPB scores were significantly associated with more time/day spent sitting and watching television or resting (ɮ =-0.16 hours; 95% Confidence Interval (CI): -.024, -0.08 for TV watching and ɮ =-0.63 hours; 95% CI: -0.80, -0.46 for resting). Average time in computer use, eating, transportation, hobbies, or social activities did not differ by physical function level. Associations between physical function and sedentary time vary by the context. Social or engaging sedentary activities do not appear to be associated with physical function limitations in the same way as passive sedentary domains like television viewing and resting. Context should be considered in evaluating relationships of sedentary time with health outcomes.

Sedentary Behavior and Physical Activity Patterns in Older Adults After Hip Fracture: A Call to Action

2016 ◽  
Vol 24 (1) ◽  
pp. 79-84 ◽  
Author(s):  
Lena Fleig ◽  
Megan M. McAllister ◽  
Penny Brasher ◽  
Wendy L. Cook ◽  
Pierre Guy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Hip Fracture ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Activity Patterns ◽  
Community Dwelling ◽  
Call To Action ◽  
Light Activity

Objectives:To characterize patterns of sedentary behavior and physical activity in older adults recovering from hip fracture and to determine characteristics associated with activity.Methods:Community-dwelling, Canadian adults (65 years+) who sustained hip fracture wore an accelerometer at the waist for seven days and provided information on quality of life, falls self-efficacy, cognitive functioning, and mobility.Results:There were 53 older adults (mean age [SD] 79.5 [7.8] years) enrolled in the study; 49 had valid data and demonstrated high levels of sedentary time (median [p10, p90] 591.3 [482.2, 707.2] minutes/day), low levels of light activity (186.6 [72.6, 293.7]), and MVPA (2 [0.1, 27.6]), as well as few daily steps (2467.7 [617.1, 6820.4]). Regression analyses showed that age, gender, gait speed, and time since fracture were associated with outcomes.Conclusions:Older adults have long periods of sedentary time with minimal activity. Results are a call to action to encourage people to sit less and move more.

scholarly journals Older Adults’ Gender, Age and Physical Activity Effects on Anxiety, Optimism, Resilience and Engagement

2020 ◽  
Vol 17 (20) ◽  
pp. 7561
Author(s):  
Alfonso Martínez-Moreno ◽  
Ricardo José Ibáñez-Pérez ◽  
Francisco Cavas-García ◽  
Francisco Cano-Noguera
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Short Version ◽  
Linear Regression Models ◽  
Life Orientation Test ◽  
Life Orientation ◽  
Probabilistic Sampling ◽  
Utrecht Work Engagement Scale ◽  
Gender And Age ◽  
Quantitative Descriptive

The purpose of the study was to understand the effects of gender and age on anxiety, optimism, resilience and engagement in a group of older adults. An observational, quantitative, descriptive and transversal design was used with non-probabilistic sampling. Descriptive statistical analyses, reliability tests (Cronbach’s alpha) and linear correlation tests (Pearson’s) were performed, and the development of multivariate linear regression models was conducted. Female participants in the sample had higher levels in anxiety and pessimism, while male participants scored higher in optimism, engagement and resilience. Participants who practiced physical activity (PA) had better scores in optimism, engagement and resilience. The sample comprised 55.1% men and 44.9% women, between the ages of 51 and 93, with an average of 68.1 years, all participants completed the questionnaire Anxiety Scale-2 (SAS-2) the Revised Life Orientation Test (LOT-R) the short version of the Utrecht Work Engagement Scale questionnaire (UWES-9) the short version of the CD-RISC. As for marital status, there were significant differences between single participants and romantic partner. Singles participants showed higher levels of anxiety than their married counterparts, while those in a relationship scored higher in optimism, engagement and resilience. The model was statistically significant F (9;352) = 14.6; p < 0.001, explaining 27% of the variance in optimism. The data indicated that PA practice and living with a partner in an inland area is associated with less anxiety, which may have implications for programs and activities designed for older adults.

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