scholarly journals Evaluation of a cognitive affective model of physical activity behavior

2020 ◽  
Vol 10 (1) ◽  
pp. 88-93
Author(s):  
Paul D. Loprinzi ◽  
Sara Pazirei ◽  
Gina Robinson ◽  
Briahna Dickerson ◽  
Meghan Edwards ◽  
...  
Keyword(s):  
Physical Activity ◽  
Executive Function ◽  
Acute Exercise ◽  
Affective Response ◽  
Physical Activity Behavior ◽  
The United States ◽  
Intensity Physical Activity ◽  
Site Design ◽  
Activity Behavior ◽  
Exercise Induced

Background: To empirically evaluate a cognitive affective model of physical activity. This bidirectional, cyclical model hypotheses that executive control processes directly influence habitual engagement in exercise and also directly subserve the exercise-induced affective response to acute exercise associated with future physical activity. Methods: The present study employed a one-week prospective, multi-site design. Participant recruitment and data collection occurred at two separate University sites (one in the United States and the other in Canada). Participants completed a bout of treadmill exercise, with affect and arousal assessed before, during and after the bout of exercise. Subjective and objective measures of executive function were assessed during this visit. Following this laboratory visit, seven days of accelerometry were employed to measure habitual engagement in physical activity. Results: Within our inactive, young adult sample, we observed some evidence of 1) aspects of executive function were associated with more light-intensity physical activity in the future (1-week later) (r = 0.36, 95% CI = -0.03 to 0.66, P = 0.07), 2) aspects of executive function were associated with post-exercise affect (r = -0.39, 95% CI = -0.67 to -0.03, P = 0.03) and forecasted affect (r =0.47, 95% CI = 0.11 to 0.72, P = 0.01), and 3) aspects of acute exercise arousal and affect were associated with current mild-intensity physical activity behavior (r = 0.41, 95% CI = 0.04 to 0.68,P = 0.03). Conclusion: We demonstrate partial support of a cognitive-affective model of physical activity.

Who Uses Wearable Activity Trackers and Why? A Comparison of Former and Current Users in the United States

2020 ◽  
Vol 34 (7) ◽  
pp. 762-769
Author(s):  
Ciarán P. Friel ◽  
Carol Ewing Garber
Keyword(s):  
Physical Activity ◽  
Average Length ◽  
Physical Activity Behavior ◽  
The United States ◽  
Web Based ◽  
Shared Data ◽  
Activity Trackers ◽  
Wearable Activity Trackers ◽  
Average Current ◽  
Activity Behavior

Background: There has been an explosion in the use of wearable activity trackers (WATs), but we do not fully understand who wears them and why. This study’s purpose was to describe the characteristics of WAT users and to compare current and former users. Materials and Methods: A variety of internet-based resources (eg, Craigslist, Facebook) were used to recruit current and former WAT users. Respondents completed a web-based survey, where they provided information on sociodemographic characteristics, health, physical activity behavior, and about their WAT use. Results: Of the 2826 respondents who gave informed consent, 70.8% (n = 2002) met inclusion criteria for this analysis. Respondents ranged from 18 to 81 years old (mean 32.9 ± 12.2 standard deviation) with 73.8% women. Most were current WAT users (68.7%), and the average length of WAT use overall was 9.3 ± 9.7 months. On average, current users wore the device for 3.7 months longer than former users. Compared to current users, former users had a lower body mass index (1.2 kg/m2 less), reported fewer medical conditions, shared data from their device less often, and received the device as a gift more frequently. Conclusions: Current and former users varied in their reasons for using a WAT and how they used their device. Differences identified between these groups support further exploration of associations between WAT users’ profiles and their physical activity behavior.

scholarly journals Affective response as a mediator of the association between the physical and social environment and physical activity behavior

2019 ◽  
Vol 43 (5) ◽  
pp. 773-782 ◽  
Author(s):  
Holly K. Boyle ◽  
Shira I. Dunsiger ◽  
Lauren Connell Bohlen ◽  
Jessica A. Emerson ◽  
Harold H. Lee ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Environment ◽  
Affective Response ◽  
Physical Activity Behavior ◽  
Activity Behavior

scholarly journals Accuracy of Wearable Trackers for Measuring Moderate- to Vigorous-Intensity Physical Activity: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 3 (4) ◽  
pp. 346-357
Author(s):  
Jessica Gorzelitz ◽  
Chloe Farber ◽  
Ronald Gangnon ◽  
Lisa Cadmus-Bertram
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Meta Analysis ◽  
Physical Activity Behavior ◽  
The United States ◽  
Evidence Base ◽  
Cochrane Library ◽  
Physical Activity Guidelines ◽  
Intensity Physical Activity ◽  
Vigorous Intensity

Background: The evidence base regarding validity of wearable fitness trackers for assessment and/or modification of physical activity behavior is evolving. Accurate assessment of moderate- to vigorous-intensity physical activity (MVPA) is important for measuring adherence to physical activity guidelines in the United States and abroad. Therefore, this systematic review synthesizes the state of the validation literature regarding wearable trackers and MVPA. Methods: A systematic search of the PubMed, Scopus, SPORTDiscus, and Cochrane Library databases was conducted through October 2019 (PROSPERO registration number: CRD42018103808). Studies were eligible if they reported on the validity of MVPA and used devices from Fitbit, Apple, or Garmin released in 2012 or later or available on the market at the time of review. A meta-analysis was conducted on the correlation measures comparing wearables with the ActiGraph. Results: Twenty-two studies met the inclusion criteria; all used a Fitbit device; one included a Garmin model and no Apple-device studies were found. Moderate to high correlations (.7–.9) were found between MVPA from the wearable tracker versus criterion measure (ActiGraph n = 14). Considerable heterogeneity was seen with respect to the specific definition of MVPA for the criterion device, the statistical techniques used to assess validity, and the correlations between wearable trackers and ActiGraph across studies. Conclusions: There is a need for standardization of validation methods and reporting outcomes in individual studies to allow for comparability across the evidence base. Despite the different methods utilized within studies, nearly all concluded that wearable trackers are valid for measuring MVPA.

Physical activity behavior change: Issues in adoption and maintenance.

2000 ◽  
Vol 19 (1, Suppl) ◽  
pp. 32-41 ◽  
Author(s):  
Bess H. Marcus ◽  
LeighAnn H. Forsyth ◽  
Elaine J. Stone ◽  
Patricia M. Dubbert ◽  
Thomas L. McKenzie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Physical Activity Behavior ◽  
Activity Behavior ◽  
Physical Activity Behavior Change

scholarly journals Physical Activity Behavior from a Transdisciplinary Biopsychosocial Perspective: a Scoping Review

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jannika M. John ◽  
Vanessa Haug ◽  
Ansgar Thiel
Keyword(s):  
Physical Activity ◽  
Scoping Review ◽  
Social Factors ◽  
Biopsychosocial Model ◽  
Scientific Work ◽  
Physical Activity Behavior ◽  
Biopsychosocial Approach ◽  
Scoping Reviews ◽  
Activity Behavior ◽  
Biopsychosocial Perspective

Abstract Background Physical activity behavior is a complex and multidimensional phenomenon. For its analysis, transdisciplinary biopsychosocial approaches yield great potential. In health research, the biopsychosocial model has experienced a renaissance. Researchers have tried to grasp the complex interplay of biological, psychological, and social factors. With this scoping review, we aimed to examine how the ‘biopsychosocial’ has been conceptualized in scientific work related to physical activity behavior. Methods The scoping review was informed by the PRISMA guidelines for scoping reviews (PRISMA-ScR). A systematic literature search was conducted in Web of Science, SportDiscus, PsycArticles, PsycInfo, and PubMed. Only articles published in peer-reviewed journals that contained all three components of a biopsychosocial approach (e.g., bio/physio/genetic, psycho/mental, and socio/cultural/environmental) were included. We only included articles in our narrative synthesis that integrated physical activity behavior into a biopsychosocial model, or investigated or described physical activity behavior on the basis of such a model. Results Thirteen studies met the inclusion criteria; eight articles pursued a biopsychosocial approach in the tradition of Engel, five employed a socio-ecological approach. The models in the analyzed articles referred to either correlates of physical activity behavior, or the influence of physical activity on health or aging. Only a minority of the articles, however, referred to interactions between biological, psychological, and social factors. Conclusions The included articles were quite heterogeneous in their approach to physical activity from a biopsychosocial perspective. The included articles illustrate that the adoption of a biopsychosocial perspective may assist to capture and understand the complex phenomenon of physical activity behavior and might inform future transdisciplinary physical activity research.

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