scholarly journals The relationship between physical activity intensity and volume on prospective falls in older adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 687-688
Author(s):  
Justin Whitten ◽  
Dawn Tarabochia ◽  
David MacDonald ◽  
Rod Barrett ◽  
Chris Carty ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Physical Activity Intensity ◽  
Step Frequency ◽  
Low Intensity ◽  
Activity Intensity ◽  
Phone Calls ◽  
Falls In Older Adults ◽  
Physical Stimuli ◽  
Relationship Of

Abstract The benefits of Physical Activity (PA) for older adults have been well documented relative to several physiological and neuromuscular factors, but the direct relationship of PA to fall incidence is unclear. In particular, the influence of the intensity and volume of habitual activities of daily living is poorly understood. The purpose of this study was to evaluate the influence of general PA intensity and overall volume on prospective falls in older adults. The PA of 134 participants was recorded using accelerometers (ActiGraph-GT3X+) over 7 consecutive days. Intensity was classified as light, moderate and vigorous by step frequency. The activity of all participants was graded as sedentary to low intensity, no participant exhibited activity in the vigorous category. During the following 12-months, participants maintained a daily falls diary and completed monthly phone calls to monitor fall incidence. Responses were used to categorize participants as fallers or non-fallers. Eighteen participants experienced one or more falls during the 12-month period. There was no statistical difference between fallers and non-fallers in either total step count or the percentage of time spent in sedentary or light PA. While previous reports suggest that many falls occur during light PA, our results do not suggest that greater volumes of low intensity activities alone results in greater fall incidence. However, we suggest this result may be influenced by physical stimuli participants received within the larger overall study design including a session of repeated exposure to forward loss of balance.

Active Gaming: It Is Not Just for Young People

2020 ◽  
Vol 28 (5) ◽  
pp. 731-739
Author(s):  
Eric J. Evans ◽  
Keith E. Naugle ◽  
Tyler Owen ◽  
Kelly M. Naugle
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Video Games ◽  
Moderate Intensity ◽  
Physical Activity Intensity ◽  
Younger Adults ◽  
Active Video Games ◽  
Activity Intensity ◽  
Active Gaming ◽  
Active Video

Whether active gaming is an appropriate method to facilitate moderate-intensity physical activity in older adults remains unclear. The purpose of this study was to evaluate the intensity of physical activity and enjoyment while playing three active video games in older adults compared with younger adults. Ten younger and 10 older adults played three active games on separate days. Participants played two 15-min periods per game: one period at a self-selected intensity and one period with structured instructions to maximize the movement. Physical activity intensity and enjoyment were measured during gameplay. The results indicated that older adults played games at significantly higher intensities (5.3 + 1.8 vs. 3.6 + 1.8 metabolic equivalents), spent less time in whole-body sedentary activity, and rated games more enjoyable compared with younger adults. With physical activity intensity being consistent with moderate-to-vigorous intensity for older adults during gameplay, the results suggest that active video games could be used as a cardiovascular tool for older adults.

Predicting Substance Use from Physical Activity Intensity in Adolescents

2004 ◽  
Vol 16 (3) ◽  
pp. 277-289 ◽  
Author(s):  
Kerri McCaul ◽  
Joseph Baker ◽  
John K. Yardley
Keyword(s):  
Physical Activity ◽  
Substance Use ◽  
Alcohol Use ◽  
Positive Relationship ◽  
Activity Type ◽  
Physical Activity Intensity ◽  
Individual Activity ◽  
Low Intensity ◽  
Activity Intensity ◽  
Negative Relationships

Adolescence is characterized as a period of change and adaptation typically marked by a decline in physical activity participation and accompanied by an increase in substance use. The purpose of this study was to examine the relationships among the type (team and individual activity) and intensity (high, medium, and low intensity) of physical activity and substance use (tobacco, marijuana, and alcohol use, and binge drinking) in a sample of 738 adolescents. Results indicated differing relationships among study variables depending on the type and intensity of physical activity and the type of substance used For instance, a positive relationship was found for physical activity intensity and alcohol use, but negative relationships were found for physical activity and tobacco and marijuana use. Collectively, the results reveal that the relationships between physical activity type and intensity and substance use are more complex than previously believed.

scholarly journals Physical Activity Intensity Cut-Points for Wrist-Worn GENEActiv in Older Adults

2021 ◽  
Vol 2 ◽  
Author(s):  
François Fraysse ◽  
Dannielle Post ◽  
Roger Eston ◽  
Daiki Kasai ◽  
Alex V. Rowlands ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Classification Accuracy ◽  
Operating Characteristic ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Physical Activity Intensity ◽  
Characteristic Analysis ◽  
Free Living ◽  
Activity Intensity

Purpose: This study aims to (1) establish GENEActiv intensity cutpoints in older adults and (2) compare the classification accuracy between dominant (D) or non-dominant (ND) wrist, using both laboratory and free-living data.Methods: Thirty-one older adults participated in the study. They wore a GENEActiv Original on each wrist and performed nine activities of daily living. A portable gas analyzer was used to measure energy expenditure for each task. Testing was performed on two occasions separated by at least 8 days. Some of the same participants (n = 13) also wore one device on each wrist during 3 days of free-living. Receiver operating characteristic analysis was performed to establish the optimal cutpoints.Results: For sedentary time, both dominant and non-dominant wrist had excellent classification accuracy (sensitivity 0.99 and 0.97, respectively; specificity 0.91 and 0.86, respectively). For Moderate to Vigorous Physical Activity (MVPA), the non-dominant wrist device had better accuracy (ND sensitivity: 0.90, specificity 0.79; D sensitivity: 0.90, specificity 0.64). The corresponding cutpoints for sedentary-to-light were 255 and 375 g · min (epoch independent: 42.5 and 62.5 mg), and those for the light-to-moderate were 588 and 555 g · min (epoch-independent: 98.0 and 92.5 mg) for the non-dominant and dominant wrist, respectively. For free-living data, the dominant wrist device resulted in significantly more sedentary time and significantly less light and MVPA time compared to the non-dominant wrist.

Higher Cardiorespiratory Fitness Is Associated With Better Verbal Generativity in Community-Dwelling Older Adults

2019 ◽  
Vol 27 (5) ◽  
pp. 703-710 ◽  
Author(s):  
Natalie Frost ◽  
Michael Weinborn ◽  
Gilles E. Gignac ◽  
Shaun Markovic ◽  
Stephanie R. Rainey-Smith ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Executive Function ◽  
Cardiorespiratory Fitness ◽  
Community Dwelling ◽  
Physical Activity Intensity ◽  
Maximal Aerobic Capacity ◽  
Activity Intensity ◽  
Activity Duration ◽  
Physical Activity Duration

Objectives: To examine the associations between physical activity duration and intensity, cardiorespiratory fitness, and executive function in older adults. Methods: Data from 99 cognitively normal adults (age = 69.10 ± 5.1 years; n = 54 females) were used in the current study. Physical activity (intensity and duration) was measured with the International Physical Activity Questionnaire, and fitness was measured by analysis of maximal aerobic capacity, VO2peak. Executive function was measured comprehensively, including measures of Shifting, Updating, Inhibition, Generativity, and Nonverbal Reasoning. Results: Higher levels of cardiorespiratory fitness were associated with better performance on Generativity (B = .55; 95% confidence interval [.15, .97]). No significant associations were found between self-reported physical activity intensity/duration and executive functions. Discussion: To our knowledge, this study is the first to identify an association between fitness and Generativity. Associations between physical activity duration and intensity and executive function requires further study, using objective physical activity measures and longitudinal observations.

Accelerometer-measured Physical Activity of Older Adults with Type 2 Diabetes: A scoping review (Preprint)

2021 ◽  
Author(s):  
Ioana A. Moldovan ◽  
Alexa Bragg ◽  
Anna Nidhiry ◽  
Barbara A. De La Cruz ◽  
Suzanne E. Mitchell
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Older Adults ◽  
Scoping Review ◽  
Self Report ◽  
Physical Activity Intensity ◽  
Middle Aged ◽  
Promising Alternative ◽  
Activity Intensity

BACKGROUND Incorporating physical activity in lifestyle routines is recommended for individuals living with type 2 diabetes. Accelerometer devices offer a promising alternative to self-report methods for measuring physical activity performance. However, the extant literature for accelerometer-measured physical activity among middle-aged/older adults with chronic conditions is lacking. OBJECTIVE We conducted a comprehensive scoping review of the literature to capture accelerometry methodologies in older adults with type 2 diabetes, specifically in relation to cutpoints that classify physical activity into intensity categories (sedentary, light, moderate, vigorous, very vigorous). METHODS Applying the Joanna Briggs Institute’s methodology, we searched PubMed, Web of Science, EMBASE, and Engineering Village to identify studies that used research-grade accelerometers to objectively measure physical activity intensity levels of adults with type 2 diabetes using cutpoints in participant samples of mean age 50 years and older. RESULTS We identified 46 studies that met our inclusion criteria. The ActiGraph was the most popular accelerometer among researchers, and the Freedson (1998) and Troiano (2008) cutpoints were favored the most. The Lopes (2009) cutpoints were developed by calibrating the ActiGraph accelerometer in middle-aged and older adults with overweight/ obesity and type 2 diabetes. Several studies noted limitations of accelerometry use that could lead to an underestimation or inaccurate representation of physical activity for our population of interest. Limitations included decreased accuracy due to variation in device placement and underestimation of activity intensity attributed to using cutpoints in older adults with lower fitness levels that were originally validated with younger adults. CONCLUSIONS Considering the high variability among accelerometry methodologies, more work needs to be done to understand activity intensity cut-offs for populations with a high burden of chronic disease, older age, and suboptimal physical functioning.

Physical Activity Intensity and Biopsychosocial Correlates in Chinese Middle-Aged and Older Adults With Chronic Kidney Disease

2019 ◽  
Vol 27 (6) ◽  
pp. 871-878
Author(s):  
Jieling Chen ◽  
Emily Joy Nicklett ◽  
Yaping He ◽  
Vivian W.Q. Lou
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Urban Areas ◽  
Mobility Limitations ◽  
Physical Activity Intensity ◽  
Middle Aged ◽  
Activity Intensity ◽  
Light Activity

The study aims to characterize physical activity (PA) participation by intensity and examine the biopsychosocial correlates among middle-aged and older adults with chronic kidney disease (CKD) in China. Data were examined from the 2011 China Health and Retirement Longitudinal Study. The percentages of participation in vigorous, moderate, and light activity among participants with CKD were 22.7%, 42.1%, and 76.3%, respectively. The participants were less likely to engage in vigorous and moderate PA if they were 70 years of age or older, were not married/partnered, were unemployed, lived in urban areas, had an advanced stage of disease, had heart disease, and/or experienced mobility limitations. The magnitude of the associations between biophysical factors and PA participation was small for light PA. The higher the intensity of regular PA, the less likely older adults with CKD were to participate. Practitioners could consider the psychosocial characteristics of the older adults with CKD and facilitate their participation in PA.

The Association of Natural Elements With Physical Activity Intensity During Trail Use by Older Adults

2012 ◽  
Vol 9 (5) ◽  
pp. 718-723 ◽  
Author(s):  
Anna Elizabeth Price ◽  
Julian A. Reed ◽  
Savannah Long ◽  
Andrea L. Maslow ◽  
Steven P. Hooker
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
South Carolina ◽  
Effective Strategy ◽  
Activity Type ◽  
Physical Activity Intensity ◽  
Trail Use ◽  
Activity Intensity ◽  
Natural Element ◽  
Sunny Weather

Background:Public health efforts to promote trail use among older adults could be an effective strategy for increasing physical activity among older adults. However, research is needed to better understand factors that influence older adults’ use of trails.Purpose:To examine the association between variations in natural elements (ie, season, weather, temperature) and older adults’ overall trail use and physical activity intensity during trail use.Methods:A rail-trail in South Carolina was systematically evaluated (2006–2009) using The System for Observing Play and Recreation in Communities.Results:The majority (74.2%) of the 1053 older trail users observed were walking; 25.9% were observed in vigorous activity. Older adults were most often observed using the trail in the spring (40.1%), sunny weather (76.8%), and moderate temperatures (56.2%). Significant differences in activity type by natural element variables were identified.Conclusions:When promoting trail use among older adults, natural elements should be considered.

scholarly journals The Relationship Between Cognitive Decline and Sedentary Time

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 191-191
Author(s):  
Lorraine Phillips ◽  
Mary Bowen
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cognitive Function ◽  
Lower Extremity ◽  
Sedentary Time ◽  
Community Dwelling ◽  
Physical Activity Intensity ◽  
Lower Extremity Function ◽  
Activity Intensity ◽  
Extremity Function

Abstract Early identification of functional decline in older adults with mild cognitive impairment (MCI) provides the opportunity to initiate behavioral interventions to slow decline. More frequent breaks in sedentary time has been associated with greater lower extremity function. This longitudinal study examined the effect of 6-month change in cognitive function on monthly sedentary time, controlling for lower extremity function, among community-dwelling older adults with MCI. Twenty adults with Montreal Cognitive Assessment Score (MoCA) between 19-25, who were age ≥ 60 years old, and ambulatory, wore an actigraph for 6 months and participated in monthly in-person assessments. Measures included MoCA change (baseline to month 6), Short Physical Performance Battery (SPPB; baseline, months 3 and 6); sedentary time and physical activity intensity; and falls (monthly). The sample was 70% female, 60% non-Hispanic white, with a mean age of 77 years. Sixteen participants provided complete data for mixed-model analysis. Over 6 months, 11 falls occurred among 7 participants. The mean MoCA score declined from 22.7 to 21.9 while SPPB remained stable. Overall time spent in sedentary behavior was high (71%) and physical activity intensity was low (light and moderate combined= 26.1%). Results of multi-level analysis with sedentary time as a continuous Level-1 variable and MoCA change scores, SPPB scores, and age in Level-2 showed that negative change in MoCA (β=-0.11; p≤0.05) was associated with increased sedentary time. Given sedentary time increases as cognitive function declines, older adults with MCI could benefit from interventions designed to interrupt sedentary time as well as increase physical activity.

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