scholarly journals Do children’s expectations about future physical activity predict their physical activity in adulthood?

2020 ◽  
Vol 49 (5) ◽  
pp. 1749-1758
Author(s):  
Benedetta Pongiglione ◽  
Margaret L Kern ◽  
J D Carpentieri ◽  
H Andrew Schwartz ◽  
Neelaabh Gupta ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Class ◽  
Young Person ◽  
Support Vector ◽  
Activity Levels ◽  
National Child Development Study ◽  
Novel Approach ◽  
Considerable Individual Variation ◽  
Children’S Expectations ◽  
Recommended Physical Activity

Abstract Background Much of the population fails to meet recommended physical activity (PA) levels, but there remains considerable individual variation. By understanding drivers of different trajectories, interventions can be better targeted and more effective. One such driver may be a person’s physical activity identity (PAI)—the extent to which a person perceives PA as central to who they are. Methods Using survey information and a unique body of essays written at age 11 from the National Child Development Study (N = 10 500), essays mentioning PA were automatically identified using the machine learning technique support vector classification and PA trajectories were estimated using latent class analysis. Analyses tested the extent to which childhood PAI correlated with activity levels from age 23 through 55 and with trajectories across adulthood. Results 42.2% of males and 33.5% of females mentioned PA in their essays, describing active and/or passive engagement. Active PAI in childhood was correlated with higher levels of activity for men but not women, and was correlated with consistently active PA trajectories for both genders. Passive PAI was not related to PA for either gender. Conclusions This study offers a novel approach for analysing large qualitative datasets to assess identity and behaviours. Findings suggest that at as young as 11 years old, the way a young person conceptualizes activity as part of their identity has a lasting association with behaviour. Still, an active identity may require a supportive sociocultural context to manifest in subsequent behaviour.

scholarly journals Where are Children Active and Does it Matter for Physical Activity? A Latent Transition Analysis

2016 ◽  
Vol 13 (12) ◽  
pp. 1294-1300 ◽  
Author(s):  
Natalie Colabianchi ◽  
Jamie L. Griffin ◽  
Kerry L. McIver ◽  
Marsha Dowda ◽  
Russell R. Pate
Keyword(s):  
Physical Activity ◽  
Latent Class ◽  
Latent Transition Analysis ◽  
Latent Classes ◽  
Activity Levels ◽  
Transition Analysis ◽  
Physical Activity Levels ◽  
Latent Transition ◽  
Over Time

Background:Numerous studies have focused on the role of environments in promoting physical activity, but few studies have examined the specific locations where children are active and whether being active in these locations is associated with physical activity levels over time.Methods:Self-reported locations of where physical activity occurred and physical activity measured via accelerometry were obtained for a cohort of 520 children in 5th and 6th grades. Latent class analysis was used to generate classes of children defined by the variety of locations where they were active (ie, home, school grounds, gyms, recreational centers, parks or playgrounds, neighborhood, and church). Latent transition analyses were used to characterize how these latent classes change over time and to determine whether the latent transitions were associated with changes in physical activity levels.Results:Two latent classes were identified at baseline with the majority of children in the class labeled as ‘limited variety.’ Most children maintained their latent status over time. Physical activity levels declined for all groups, but significantly less so for children who maintained their membership in the ‘greater variety’ latent status.Conclusions:Supporting and encouraging physical activity in a variety of locations may improve physical activity levels in children.

scholarly journals Evaluation of Walk Across Texas! – a web-based community physical activity program

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Mark D. Faries ◽  
Michael L. Lopez ◽  
Ethan Faries ◽  
Kristen Keenan ◽  
Stephen D. Green
Keyword(s):  
Physical Activity ◽  
Repeated Measures ◽  
Leisure Time ◽  
Program Assessment ◽  
Future Research ◽  
Activity Levels ◽  
Web Based ◽  
Novel Approach ◽  
Community Based Programs ◽  
Clinically Significant

Abstract Background In response to the chronic disease burden, web- and community-based programs have the potential to address targeted behaviors, such as physical activity (PA), using a novel approach with large audiences. The purpose of this study was to preliminarily evaluate an established team centered, web-based community PA program in Texas. Methods Walk Across Texas! (WAT!) is an eight-week community program delivered through a web-based platform to help people of various ages and abilities establish the habit of regular PA. Teams are challenged to walk a minimum of 832 miles. Changes in self-reported PA (miles/week; days/week) and leisure-time sitting (hours/day) were examined from 11,116 adult participants who participated in the program in 2016. Further analysis determined changes in physical activity (miles/week) between groups of pre-program assessment self-reported physical activity levels (0, 1–2, 3–4, or 5–7 days/week). Statistical analysis included paired-sample t-tests, repeated measures ANOVA and participant descriptors for PA change. Results Overall, mean changes in PA in all variables were statistically significant (p < .001), with the largest, clinically significant changes in submitted miles/week (mean increase of 4.89 ± 20.92). Self-reported PA increased 0.63 ± 2.89 days/week, while leisure-time sitting decreased less than 1 h per day (0.87 ± 1.86 h/day). All sub-groups (inactive, low active, active, high active at pre-program assessment) increased in self-reported miles per week, on average. Both the inactive and low-active groups experienced a statistically significant increase in mileage from week 1 to week 8 (5.48 miles/week or 12,330 steps /week, and 3.91 miles/week or 8797 steps /week, respectively). Conclusions The results provide initial support for the effectiveness of WAT! to initially increase and maintain moderate levels of PA of participants over 8-weeks, even in inactive or low-active participants. Descriptor variables were unable to differentiate between those who increased PA and those who did not. However; the results provide a canvas for future research questions regarding PA enhancement within a team-centered, web-based approach.

scholarly journals Exercise Trajectories of Women from Entry to a 6-Month Cardiac Rehabilitation Program to One Year after Discharge

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Heather M. Arthur ◽  
Chris Blanchard ◽  
Elizabeth Gunn ◽  
Jennifer Kodis ◽  
Steven Walker ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cardiac Rehabilitation ◽  
Latent Class ◽  
Rehabilitation Program ◽  
Activity Levels ◽  
Activity Data ◽  
Prospective Longitudinal Study ◽  
Strenuous Activity ◽  
One Year ◽  
Prospective Longitudinal

Background. Physical activity is associated with reduced mortality and morbidity. Cardiac rehabilitation (CR) is an effective intervention for patients with cardiovascular disease (CVD). Unfortunately, women are less likely to engage in, or sustain, regular physical activity. Objectives were to (1) describe women’s guidelines-based levels of physical activity during and after CR and (2) determine the physical activity trajectories of women from entry to CR to one year after CR.Methods and Results. A prospective, longitudinal study of 203 women with CVD enrolled in a 6-month CR program. Physical activity was measured using the Godin Leisure Time Exercise Questionnaire (LSI), focusing on moderate-strenuous activity. Data were analyzed using latent class growth analysis (LCGA) and logistic regression. Mean scores on the LSI showed women to be “active” at all follow-up points. LCGA revealed a two-class model, respectively, called “inactive relapsers” and “moderately active relapsers.” Predictors of the “moderately active relapsers” class were employment status and diagnosis of myocardial infarction.Conclusions. Women achieved the recommended physical activity levels by the end of CR and sustained them until one year after CR. LCGA allowed us to determine the class trajectories associated with moderate-strenuous activity and, from these, to identify implications for targeted intervention.

scholarly journals Cancer Survivors Awaiting Rehabilitation Rarely Meet Recommended Physical Activity Levels

2018 ◽  
Vol 36 (4) ◽  
pp. 214-222 ◽  
Author(s):  
Amy M. Dennett ◽  
Casey L. Peiris ◽  
Nora Shields ◽  
Luke A. Prendergast ◽  
Nicholas F. Taylor
Keyword(s):  
Physical Activity ◽  
Cancer Survivors ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Recommended Physical Activity

Environmental, Transportation, Social, and Time Barriers to Physical Activity

2006 ◽  
Vol 3 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Amy I. Zlot ◽  
John Librett ◽  
David Buchner ◽  
Tom Schmid
Keyword(s):  
Physical Activity ◽  
Social Capital ◽  
Logistic Regression ◽  
Additive Effect ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Low Levels ◽  
Nationally Representative ◽  
Recommended Physical Activity ◽  
Barriers To Physical Activity

Purpose:This study examines environmental, transportation, social, and time barriers to physical activity.Methods:Survey questions from the nationally representative Greenstyles survey (N = 2181) were summed to create environmental, transportation, social, and time barrier variables. Logistic regression was used to determine if the barrier variables had a significant association with physical activity levels.Results:Those who have low barriers to physical activity are more likely to meet the recommended physical activity levels compared with those with medium and high barriers. In addition, transportation, social capital, and time barriers independently contributed to the low levels of physical activity.Conclusions:Removal of multiple barriers to physical activity may have an additive effect of increasing physical activity levels in Americans. Promoting physical activity requires strategies and research across multiple sectors to mitigate these barriers.

scholarly journals Neighbourhood and path-based greenspace in three European countries: associations with objective physical activity

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
William Mueller ◽  
Paul Wilkinson ◽  
James Milner ◽  
Sotiris Vardoulakis ◽  
Susanne Steinle ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vegetation Index ◽  
Vigorous Physical Activity ◽  
Tree Cover ◽  
Activity Levels ◽  
Trip Purpose ◽  
Percentage Point Increase ◽  
Novel Approach ◽  
Point Increase ◽  
Normalised Difference Vegetation Index

Abstract Background Greenspace has been associated with health benefits in many contexts. An important pathway may be through outdoor physical activity. We use a novel approach to examine the link between greenspace microenvironments and outdoor physical activity levels in the HEALS study conducted in Edinburgh (UK), the Netherlands, and Athens and Thessaloniki (Greece). Methods Using physical activity tracker recordings, 118 HEALS participants with young children were classified with regard to daily minutes of moderate to vigorous physical activity (MVPA); 60 were classified with regard to the metabolic equivalent task (MET)-minutes for each of the 1014 active trips they made. Greenspace indicators were generated for Normalised Difference Vegetation Index (NDVI), tree cover density (TCD), and green land use (GLU). We employed linear mixed-effects models to analyse (1) daily MVPA in relation to greenspace within 300 m and 1000 m of residential addresses and (2) trip MET-minutes in relation to average greenspace within a 50 m buffer of walking/cycling routes. Models were adjusted for activity, walkability, bluespace, age, sex, car ownership, dog ownership, season, weekday/weekend day, and local meteorology. Results There was no clear association between MVPA-minutes and any residential greenspace measure. For example, in fully adjusted models, a 10 percentage point increase in NDVI within 300 m of home was associated with a daily increase of 1.14 (95% CI − 0.41 to 2.70) minutes of MVPA. However, we did find evidence to indicate greenspace markers were positively linked to intensity and duration of activity: in fully adjusted models, 10 percentage point increases in trip NDVI, TCD, and GLU were associated with increases of 10.4 (95% CI: 4.43 to 16.4), 10.6 (95% CI: 4.96 to 16.3), and 3.36 (95% CI: 0.00 to 6.72) MET-minutes, respectively. The magnitude of associations with greenspace tended to be greater for cycling. Conclusions More strenuous or longer walking and cycling trips occurred in environments with more greenspace, but levels of residential greenspace did not have a clear link with outdoor MVPA. To build on our research, we suggest future work examine larger, more diverse populations and investigate the influence of greenspace for trip purpose and route preference.

scholarly journals Association between behavioral phenotypes and sustained use of smartphones and wearable devices to remotely monitor physical activity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarah J. Fendrich ◽  
Mohan Balachandran ◽  
Mitesh S. Patel
Keyword(s):  
Physical Activity ◽  
Risk Taking ◽  
Latent Class ◽  
Wearable Devices ◽  
Individual Characteristics ◽  
Wearable Device ◽  
Activity Levels ◽  
Behavioral Phenotypes ◽  
Baseline Activity ◽  
Sustained Use

AbstractSmartphones and wearable devices can be used to remotely monitor health behaviors, but little is known about how individual characteristics influence sustained use of these devices. Leveraging data on baseline activity levels and demographic, behavioral, and psychosocial traits, we used latent class analysis to identify behavioral phenotypes among participants randomized to track physical activity using a smartphone or wearable device for 6 months following hospital discharge. Four phenotypes were identified: (1) more agreeable and conscientious; (2) more active, social, and motivated; (3) more risk-taking and less supported; and (4) less active, social, and risk-taking. We found that duration and consistency of device use differed by phenotype for wearables, but not smartphones. Additionally, “at-risk” phenotypes 3 and 4 were more likely to discontinue use of a wearable device than a smartphone, while activity monitoring in phenotypes 1 and 2 did not differ by device type. These findings could help to better target remote-monitoring interventions for hospitalized patients.

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