scholarly journals Patterns of Sedentary Behavior among Older Adults in Care Facilities: A Scoping Review

2021 ◽  
Vol 18 (5) ◽  
pp. 2710
Author(s):  
Kin-Chung Wilson Leung ◽  
Kim-Wai Raymond Sum ◽  
Yi-Jian Yang
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Scoping Review ◽  
Sedentary Time ◽  
Care Facility ◽  
Sedentary Activity ◽  
Levels Of Care ◽  
Care Facilities ◽  
High Level

Understanding the sedentary patterns can guide the design of strategies to engage older adults in physical activity. This scoping review aimed to synthesize available evidence on sedentary behaviors in care facilities. We searched PubMed/MEDLINE and Web of Science for studies published from inception through October 2020. Eighteen studies were included and reviewed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Data obtained were analyzed based on levels of care provided. Overall, daily sedentary time was higher among residents in high level care facilities (e.g., nursing homes) (11.6 h/day) than intermediate/mixed level care facilities (e.g., assisted living) (9.5 h/day). In intermediate/mixed level care facilities, television (TV) viewing was the most common sedentary activity (2.5–2.9 h/day; 26% of daily sedentary time), while napping was the most favorite sedentary activity (4.7 h/day; 36% of waking hours) in high level care facilities. Sex differences in daily patterns of sedentary behavior (sedentary time, uninterrupted bouts, and bout durations) were commonly observed in intermediate/mixed level care facilities, as exemplified by men being more sedentary by 0.7–1.1 h/day. In summary, this study highlights distinctive sedentary patterns among older adults residing in different levels of care facilities, addressing a pressing need for customized interventions to engage care facility residents in physical activity.

scholarly journals Are Area-Level Crimes Associated with Older Adults’ Physical Activity and Sedentary Behavior?

2019 ◽  
Vol 11 (9) ◽  
pp. 2454
Author(s):  
Chien-Yu Lin ◽  
Jong-Hwan Park ◽  
Ming-Chun Hsueh ◽  
Ting-Fu Lai ◽  
Yung Liao
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Binary Logistic Regression ◽  
Sociodemographic Factors ◽  
Behavior Interventions ◽  
Drug Crime ◽  
Residential Neighborhood ◽  
Crime Incidence

There is limited evidence for the associations of area-level crime with older adults’ physical activity and sedentary behavior, especially in Asia. This study explored the association of area-level crime with older adults’ active and sedentary behavior. A telephone-based survey of Taiwanese seniors was conducted in September–November of 2017. Data related to sociodemographic factors, residential neighborhood (objectively recorded area-level crime incidence), and time spent in physical activity and sedentary behavior, were obtained from 1068 older adults. Adjusted binary logistic regression was analyzed. Fully adjusted analyses showed older adults living in neighborhoods with a higher incidence of drug crime (odds ratio, OR = 0.71, 95% confidence interval, CI = 0.52–0.96), car theft (OR = 0.70, 95% CI 0.51–0.95), and locomotive theft (OR = 0.69, 95% CI 0.51–0.94) were found to be less likely to achieve the recommendation on physical activity. In addition, those living in neighborhoods with a higher incidence of theft (OR = 1.93, 95% CI 1.05–3.55), drug crime (OR = 1.93, 95% CI 1.05–3.55), breaking and entering (OR = 2.04, 95% CI 1.11–3.76), and rape (OR = 2.20, 95% CI 1.20–4.06) were more likely to have more sedentary time. There were sex differences in the association of area-level crime incidence with physical activity and sedentary behavior. These findings suggest that crime prevention should be considered when designing physical activity and sedentary behavior interventions for older adults.

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 A systematic review of studies that included both measures of physical activity and sedentary behaviour in older adults

2019 ◽  
Author(s):  
Armando Raimundo ◽  
José Marmeleira ◽  
Soraia Ferreira
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
The Elderly ◽  
Health Conditions ◽  
Inclusion Criteria ◽  
Care Facilities ◽  
Reported Data

Objective: The main aim of this study is to identify, appraise and synthesize evidence on the level of physical activity and sedentary behavior in older adults. Method: This review was restricted to studies published between January 2006 and January 2019 and included studies that reported physical activity and sedentary behavior in older adults (≥65 years old) without chronical health conditions. Results: Twenty studies met the inclusion criteria. Two studies reported data for older adults residing at assisted care facilities, showing results of moderate to vigorous physical activity  much lower than those reported in studies with older adults living in the community (2 min/per day and 37.2 min/per day, respectively). Conclusion: Sedentary behavior is high in the elderly, with men presenting higher values than women. moderate to vigorous physical activity has very low values, and with the advancing age there is a decrease in the same.

scholarly journals Physical Activity and Sedentary Patterns among Metabolically Healthy Individuals Living with Obesity

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Marika de Winter ◽  
Brittany V. Rioux ◽  
Jonathan G. Boudreau ◽  
Danielle R. Bouchard ◽  
Martin Sénéchal
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Cardiometabolic Risk ◽  
Sedentary Time ◽  
Cardiometabolic Risk Factors ◽  
Behavior Patterns ◽  
Metabolically Healthy

Background. Some individuals living with obesity are free from typical cardiometabolic risk factors and are termed metabolically healthy obese (MHO). The patterns of physical activity and sedentary behaviors among MHO are currently unknown. Methods. This study includes 414 youth (12–18 years old), 802 adults (19–44 years old), and 1230 older adults (45–85 years old) living with obesity from the 2003-2004 or 2005-2006 NHANES cycles. Time spent in bouts of 1, 5, 10, 30, and 60 minutes for moderate-to-vigorous physical activity (MVPA) and sedentary time was measured objectively using accelerometers. Participants were categorized as MHO if they had no cardiometabolic risk factors above the identified thresholds (triglycerides, high-density lipoprotein cholesterol, systolic blood pressure, diastolic blood pressure, and glucose). Results. The proportion of MHO was 19%, 14%, and 12% in youth, adults, and older adults, respectively. MHO adults displayed a higher 1-minute bout of MVPA per day compared to non-MHO (p=0.02), but no difference was observed for MVPA and sedentary behavior patterns for youth and older adults. When adjusted for confounders, all bouts of sedentary behavior patterns in youth were significantly associated with being classified as MHO. Conclusion. This study suggests that greater sedentary time is associated with cardiometabolic risk factors in youth even if they are physically active.

scholarly journals Sedentary Time in US Older Adults Associated With Disability in Activities of Daily Living Independent of Physical Activity

2015 ◽  
Vol 12 (1) ◽  
pp. 93-101 ◽  
Author(s):  
Dorothy D. Dunlop ◽  
Jing Song ◽  
Emily K. Arntson ◽  
Pamela A. Semanik ◽  
Jungwha Lee ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Activities Of Daily Living ◽  
Sedentary Behavior ◽  
Daily Living ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Strong Relationship ◽  
Vigorous Activity ◽  
Adl Disability

Background:The harmful relationship of sedentary behavior to health may reflect an exchange of sedentary activity for moderateto- vigorous physical activity (MVPA), or sedentary behavior may be a separate risk factor. We examined whether time spent in sedentary behavior is related to disability in activities of daily living (ADL), independent of time spent in MVPA in older adults.Methods:The nationally representative 2003−2006 National Health and Nutrition Examinations Surveys (NHANES) included 2286 adults aged 60 years and older in whom physical activity was assessed by accelerometer. The association between ADL task disability and the daily percentage of sedentary time was evaluated by multiple logistic regression.Results:These adults on average spent 9h/d being sedentary during waking hours and 4.5% reported ADL disability. The odds of ADL disability were 46% greater (odds ratio, 1.46; 95% confidence interval, 1.07−1.98) for each daily hour spent in sedentary behavior, adjusted for MVPA and socioeconomic and health factors.Conclusion:These US national data show a strong relationship between greater time spent in sedentary behavior and the presence of ADL disability, independent of time spent in moderate or vigorous activity. These findings support programs encouraging older adults to decrease sedentary behavior regardless of their engagement in moderate or vigorous activity.

scholarly journals Are Older Adults without a Healthy Diet Less Physically Active and More Sedentary?

Nutrients ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1119 ◽  
Author(s):  
Ming-Chun Hsueh ◽  
Ru Rutherford ◽  
Yi-Hsuan Huang ◽  
Hung-Yu Chang Chien ◽  
Chia-Hui Chang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Healthy Diet ◽  
Sitting Time ◽  
Time Duration ◽  
Sedentary Breaks ◽  
Sedentary Bouts ◽  
Objectively Measured

Few studies on older populations consider several energy balance-related behaviors together. This cross-sectional study compared subjectively and objectively measured physical activity (PA) and sedentary behavior (SB) patterns between older adults with and without a healthy diet. We recruited 127 community-dwelling older Taiwanese adults (69.9 ± 5.0 years); data were collected during April and September 2018. Objectively measured total PA, moderate-to-vigorous PA, light PA, step count, total sedentary time, duration of sedentary bouts, number of sedentary bouts, and number of sedentary breaks were assessed using activity monitors. Subjectively measured PA and SB were measured using the International Physical Activity Questionnaire and Sedentary Behavior Questionnaire for Older Adults. Chi-square tests and independent sample t-tests were performed. For subjective measures, older adults without a healthy diet spent significantly less total leisure time on PA and more leisure sitting time than those with a healthy diet. For objective measures, older adults without a healthy diet spent less time on light PA and had a higher total sedentary time, duration of sedentary bouts, times of sedentary bouts, and times of sedentary breaks than those with a healthy diet. Regardless of the use of objective or subjective measurements, older adults without a healthy diet engaged in a more inactive and sedentary lifestyle. These findings have implications for health promotion practitioners in designing tailored interventions.

scholarly journals Physical Activity and Sedentary Behavior Patterns Prior to and During the COVID-19 Pandemic

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 339-339
Author(s):  
Nancy Gell ◽  
Dori Rosenberg ◽  
John Bellettiere
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Healthy Aging ◽  
Sedentary Time ◽  
Epidemiologic Study ◽  
Self Report ◽  
Sitting Time ◽  
Aging And Health ◽  
Reported Data

Abstract Understanding patterns in the types of activities older adults engage in during physical activity and sedentary time could help shape intervention designs. Few studies have adequately described the physical activity and sedentary pursuits older adults undertake, including during the COVID-19 pandemic. To answer these questions, this symposium uses data from three recent studies: Adult Changes in Thought (ACT),an epidemiologic study with self-reported and device-based measures of physical activity and sedentary time including time spent in various domains of activity; Objective Physical Activity and Cardiovascular Disease Health in Older Women (OPACH), an epidemiologic study with device and self-report measures of sedentary behavior; and an ongoing clinical trial, the Healthy Aging Resources to Thrive (HART) study with device and self-reported data on sitting time and patterns as well as physical activity. The first session in this symposium will present a description of the rates of meeting the aerobic, strength, and balance recommendations among older adults in the ACT study. Next, we will have a presentation describing sedentary activities in older adults by age, sex and device-based sitting patterns in the ACT study. In the third presentation we will use OPACH data to examine patterns and context of sedentary in relation to aging-related outcomes. Finally, we will describe changes in physical activity and sedentary time in the HART trial in the cohort enrolled prior to the COVID-19 pandemic vs. those enrolled during the pandemic. Our Discussant will provide new insights on the roles of sedentary behavior and physical activity in aging and health.

scholarly journals Which Neighborhood Destinations Matter in the Asian Context? The Role of Destinations in Older Adults’ Physical Activity and Sedentary Behaviors

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jong-Hwan Park ◽  
Jung-Hoon Park ◽  
Seunghwan Song ◽  
Ting-Fu Lai ◽  
Yung Liao
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Older Women ◽  
Sedentary Time ◽  
Older Men ◽  
Activity Levels ◽  
Sedentary Behaviors ◽  
Physical Activity Recommendations ◽  
Activity Recommendations

Background. Neighborhood destinations play important roles in daily activity levels of older adults. However, little is known about how specific destinations are associated with these activities and/or sedentary behaviors, especially in Asia. This study investigated how neighborhood destinations were associated with physical activity recommendations and excessive sedentary time among older adults. Methods. A telephone-based survey was conducted to collect cross-sectional data on the sociodemographic variables, residential neighborhoods, physical activities, and sedentary behaviors of 1,040 adults aged 65 years and above. Using data derived from Geographic Information Systems (GIS), an adjusted logistic regression was performed to examine the relationships between five neighborhood destination types (i.e., recreational facilities, utilitarian destinations, transit stops, temples, and schools) and both overall physical activity level and sedentary behavior. Results. Significant interactions related to physical activity and sedentary behavior were observed based on both gender and neighborhood destinations. After adjusting for potential confounders, older men living in neighborhoods containing higher numbers of temples were more likely to achieve physical activity recommendations (OR=1.85; 95% CI: 1.16–2.96). On the other hand, older women living in neighborhoods containing higher numbers of utilitarian destinations were more likely to engage in excessive sedentary time (OR=1.70; 95% CI: 1.12–2.56). Conclusions. In Asia, the presence of favorable local neighborhood temples may support physical activity levels for older men, while utilitarian destinations (which have previously been found to support activeness) may be related to excessive sedentary behaviors in older women.

The Association Between Sedentary Behavior and Cognitive Function Among Older Adults May Be Attenuated With Adequate Physical Activity

2017 ◽  
Vol 14 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Meghan K. Edwards ◽  
Paul D. Loprinzi
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cognitive Function ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Adult Population ◽  
Digit Symbol Substitution Test ◽  
Independent Association ◽  
Adjusted Model

Objective:Examine the independent association of sedentary behavior and cognitive function in older adults, as well as whether physical activity attenuates this potential association.Methods:Data from the 1999–2002 National Health and Nutrition Examination Survey were used (N = 2472 adults 60 to 85 yrs). Sedentary behavior was subjectively assessed and the Digit Symbol Substitution Test (DSST) was employed to assess cognitive function.Results:Among an unadjusted and an adjusted model not accounting for physical activity, only 5+ hrs/day (vs. < 1 hr) of sedentary time was independently associated with lower DSST scores (β = –3.1; 95% CI: –5.8 to –0.4; P= .02). However, a fully adjusted model (adding in moderate-to-vigorous physical activity as a covariate) did not yield a statistically significant association between 5+ hrs/day of sedentary time and DSST scores (β = –2.5; 95% CI: –5.1 to 0.2; P = .07).Conclusion:Accumulated daily sedentary behavior of 5+ hrs is associated with lower cognitive function in an older adult population when physical activity is not taken into account. However, physical activity may account for 19% of the total association between sedentary behavior and cognitive function, thus attenuating the sedentary-cognitive function association. Efforts should be made to promote physical activity in the aging population.

Comparisons of physical activity and sedentary behavior between owners and non-owners of commercial wearable devices

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Short Form ◽  
Wearable Devices ◽  
Wearable Device ◽  
World Health ◽  
World Health Organization Quality ◽  
Quality Of Life Scale

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.

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