Automatic Regulation Used in Sport and Exercise Research

2017 ◽  
Author(s):  
Amanda L. Rebar
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Sport Performance ◽  
Self Report ◽  
Automatic Regulation ◽  
Physically Active ◽  
Self Identity ◽  
Automatic Associations ◽  
Activity Behavior ◽  
Sport And Exercise

Much of our sport and physical activity behavior is regulated by processes occurring outside of conscious awareness. In contrast, most sport and physical activity research focuses on processes that are easily accessible by conscious introspection. More and more, however, research is demonstrating that automatic regulation is instrumental to our understanding of how to get people to maintain a physically active lifestyle and how to get the most out of people’s sports performance potential. Automatic regulation is the influence on our thoughts and actions that result from the mental network of associations we use to make sense of the world around us. Habits are automatic associations of cues with behavioral responses. Automatic evaluations are automatic associations of cues as being good or bad. Automatic schemas are automatic associations of cues with actual or ideal self-identity. These processes have been assessed with implicit measures by making indirect inferences from self-report or response latency tasks. Emerging research demonstrates that automatic associations influence sport performance and physical activity behavior, but further work is still needed to establish which type of automatic regulation is responsible for these influences and how automatic regulation and reflective processes interact to impact movement.

scholarly journals Habitual Physical Activity Behavior of Patients After Primary Total Hip Arthroplasty

2008 ◽  
Vol 88 (9) ◽  
pp. 1039-1048 ◽  
Author(s):  
Robert Wagenmakers ◽  
Martin Stevens ◽  
Wiebren Zijlstra ◽  
Monique L Jacobs ◽  
Inge van den Akker-Scheek ◽  
...  
Keyword(s):  
Physical Activity ◽  
Total Hip Arthroplasty ◽  
Odds Ratio ◽  
Physical Activity Behavior ◽  
Moderate Intensity ◽  
Physically Active ◽  
Normative Population ◽  
Activity Behavior ◽  
Charnley Class ◽  
Health Enhancing Physical Activity

Background and Purpose Despite recognized health benefits of physical activity, little is known about the habitual physical activity behavior of patients after total hip arthroplasty (THA). The purpose of this study was to analyze this behavior and the fulfillment of guidelines for health-enhancing physical activity of these patients compared with a normative population. Subjects and Methods The participants were 273 patients who had undergone a primary THA (minimum of 1 year postoperatively). Comparisons were made between this group and 273 age- and sex-matched individuals from a normative population. Comparisons also were made between participants with THA under 65 years of age and those 65 years of age and older and among participants with THA in different Charnley classes. Level of physical activity was assessed with the Short QUestionnaire to ASsess Health-enhancing physical activity (SQUASH). Results No significant differences in total amount of physical activity or time spent in different categories of physical activity were found between the THA group and the normative group. Participants with THA spent significantly more minutes in activities of moderate intensity compared with the normative group. Participants with THA who were under 65 years of age were significantly more active than older participants with THA. Charnley class had significant effects on time spent at work, time spent in moderate-intensity activities, and total amount of activity, with the least activity performed by participants in Charnley class C. The guidelines were met by 51.2% of the participants with THA and 48.8% of the normative population. Female participants met the guidelines less frequently than male participants in both the combined groups (odds ratio=0.50, 95% confidence interval=0.35–0.72, P<.001) and the THA group (odds ratio=0.48, 95% confidence interval=0.28–0.80, P=.001). Discussion and Conclusion The results suggest that patients after THA are at least as physically active as a normative population. Nevertheless, a large percentage of these patients do not meet the guidelines; therefore, they need to be stimulated to become more physically active.

scholarly journals Lutein Intake and Blood Lutein Concentration Are Positively Associated with Physical Activity in Adults: A Systematic Review

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1186 ◽  
Author(s):  
Madeline Cooke ◽  
Alison Coates ◽  
Elizabeth Buckley ◽  
Jonathan Buckley
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Blood Concentration ◽  
Web Of Science ◽  
Physical Activity Behavior ◽  
Self Report ◽  
Inclusion Criteria ◽  
Activity Behavior ◽  
Measure Of Association ◽  
The Relationship

Lutein is a carotenoid that reduces the risk of some chronic diseases, possibly by altering physical activity behavior. The objective of this study was to conduct a systematic review of studies examining the relationship between lutein status (dietary intake/blood concentration) and physical activity. Peer-reviewed studies published in Medline, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, and Embase were included if they reported a measure of association between lutein status and physical activity. Seventeen studies met the inclusion criteria. Eleven reported positive associations, three reported mixed results, and three reported no association. Two studies used objective measures of lutein status (blood concentration) and physical activity (accelerometry) and reported positive associations, with correlations of ≥0.36 and differences of ≥57% in physical activity between upper and lower tertiles. Studies using self-report measures reported weaker correlations (r = 0.06 to 0.25), but still more physical activity (18% to ≥600% higher) in those with the highest compared with the lowest lutein status. Higher lutein status may be associated with higher levels of physical activity, which may contribute to a reduced risk of chronic disease.

Tracking of physical activity during middle school transition in Iranian adolescents

2011 ◽  
Vol 71 (6) ◽  
pp. 631-641 ◽  
Author(s):  
Parvaneh Taymoori ◽  
Tanya R Berry ◽  
David R Lubans
Keyword(s):  
Physical Activity ◽  
High School ◽  
Physical Inactivity ◽  
Physical Activity Behavior ◽  
Self Report ◽  
Psychological Variables ◽  
Interpersonal Influences ◽  
Factors Analysis ◽  
Activity Behavior

Objective: The purpose of this longitudinal study was to examine changes in physical activity behavior, psychological factors and interpersonal influences associated with exercise behavior during the transition from secondary school to high school in Sanandaj, Iran. Design: Data were collected from students in 2006 ( N = 1,073), of whom 844 provided follow-up data in 2009. Setting: The students were in high school in 2009 (51% male) with a mean age of 16.42 ± 1.73 years. Method: Physical activity-related cognitions, interpersonal influences, and physical activity behavior were measured using self-report questionnaires. To assess the effects of time and sex on psychosocial factors, analysis of variances (ANOVAs) were conducted. The relative stability of physical activity psychosocial correlates from wave 1 through wave 2 was assessed using Pearson product-moment correlations. Results: There were significant differences according to sex across time for physical activity, psychological variables and interpersonal influences associated with exercise activities. The girls were less active than boys at both time points. Girls reported lower self-efficacy and perceived more barriers and fewer perceived benefits for physical activity over time. Interpersonal influences on activity were more stable for girls than boys. Conclusion: The results offer evidence for decreasing physical activity in boys and girls and sex differences in cognitive variables and interpersonal influences. This is important for understanding how to address the problem of physical inactivity among Iranian youth.

scholarly journals Using a Mobile Phone App to Analyze the Relationship Between Planned and Performed Physical Activity in University Students: Observational Study

10.2196/17581 ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. e17581
Author(s):  
Matthew T Stewart ◽  
Taylor Nezich ◽  
Joyce M Lee ◽  
Rebecca E Hasson ◽  
Natalie Colabianchi
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Mobile Phone ◽  
Real Time ◽  
Time Use ◽  
Physical Activity Behavior ◽  
Physically Active ◽  
Activity Behavior ◽  
And Behavior ◽  
The Relationship

Background The relationship between intention and behavior has been well researched, but most studies fail to capture dynamic, time-varying contextual factors. Ecological momentary assessment through mobile phone technology is an innovative method for collecting data in real time, including time-use data. However, only a limited number of studies have examined day-level plans to be physically active and subsequent physical activity behavior using real-time time-use data to better understand this relationship. Objective This study aims to examine whether plans to be physically active (recorded in advance on an electronic calendar) were associated with objectively assessed physical activity (accelerometry), to identify activities that replaced planned periods of physical activity by using the mobile app Life in a Day (LIAD), and to test the feasibility and acceptability of LIAD for collecting real-time time-use data. Methods The study included 48 university students who were randomly assigned to 1 of 3 protocols, which were defined by 1, 3, or 5 days of data collection. Participants were asked to record their planned activities on a Google Calendar and were provided with mobile phones with LIAD to complete time-use entries in real time for a set of categories (eg, exercise or sports, eating or cooking, school, or personal care). Participants were instructed to wear an accelerometer on their nondominant wrist during the protocol period. A total of 144 days of protocol data were collected from the 48 participants. Results Protocol data for 123 days were eligible for analysis. A Fisher exact test showed a statistically significant association between plans and physical activity behavior (P=.02). The congruence between plans and behavior was fair (Cohen κ=0.220; 95% CI 0.028-0.411). Most participants did not plan to be active, which occurred on 75.6% (93/123) of days. Of these 93 days, no physical activity occurred on 76 (81.7%) days, whereas some physical activity occurred on 17 (18.3%) days. On the remaining 24.4% (30/123) of days, some physical activity was planned. Of these 30 days, no physical activity occurred on 18 (60%) days, whereas some physical activity occurred on 12 (40%) days. LIAD data indicated that activities related to screen time most often replaced planned physical activity, whereas unplanned physical activity was often related to active transport. Feasibility analyses indicated little difficulty in using LIAD, and there were no significant differences in feasibility by protocol length. Conclusions Consistent with previous literature, physical activity plans and physical activity behaviors were linked, but not strongly linked. LIAD offers insight into the relationship between plans and behavior, highlighting the importance of active transport for physical activity and the influence of screen-related behaviors on insufficient physical activity. LIAD is a feasible and practical method for collecting time-use data in real time.

The Effect of Increasing Autonomy Through Choice on Young Children’s Physical Activity Behavior

2016 ◽  
Vol 13 (4) ◽  
pp. 428-432 ◽  
Author(s):  
Gabriel J. Sanders ◽  
Judith Juvancic-Heltzel ◽  
Megan L. Williamson ◽  
James N. Roemmich ◽  
Denise M. Feda ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Children ◽  
Free Choice ◽  
Physical Activity Behavior ◽  
Activity Participation ◽  
Laboratory Setting ◽  
Older Children ◽  
Physically Active ◽  
Activity Behavior ◽  
Children’S Physical Activity

Background:Increasing autonomy by manipulating the choice of available physical activity options in a laboratory setting can increase physical activity in older children and adults. However, the effect of manipulating the number of physically active choices has yet to be examined in young children in a gymnasium environment.Methods:Twenty children (n = 10 girls, 6.1 ± 1.4 years old) individually participated in 2 [low choice (LC), high choice (HC)] free-choice activity conditions for 30 minutes in a 4360 square foot gymnasium. Children had access to 2 or 8 physical activity options in the LC and HC conditions, respectively. Physical activity behavior was measured via accelerometry.Results:Children’s 30-minute accelerometer counts increased (P < .03) from the LC (2675 ± 294 counts·min-1) to the HC (3224 ± 280 counts·min-1) condition.Conclusions:Providing greater autonomy through choice of a greater number of physically active options increased young children’s physical activity participation by 20.5%.

Parental Influences on Physical Activity in Children: An Exploration of Potential Mechanisms

2003 ◽  
Vol 15 (1) ◽  
pp. 19-33 ◽  
Author(s):  
Gregory J. Welk ◽  
Kherrin Wood ◽  
Gina Morss
Keyword(s):  
Physical Activity ◽  
Parental Influence ◽  
Physical Activity Behavior ◽  
Parental Influences ◽  
Self Report ◽  
Activity Levels ◽  
Report Data ◽  
Activity Behavior ◽  
Self Report Data ◽  
Children’S Physical Activity

This study examined the utility of a model to explain parental influence on children’s physical activity. Children (n = 994) from 3 elementary schools completed a survey with scales assessing physical activity, attraction to activity, perceived competence, and perceived parental influence. Self-report data on the physical activity levels of parents (n = 536) were also obtained to test the hypothesis that active parents may provide more encouragement and support for their children. The parental influence scales accounted for 20%, 26%, and 28% of the variance in physical activity, attraction to physical activity, and perceptions of competence, respectively. Correlations between parent and child levels of activity were low, but children of active parents had higher scores on the parental influence measures and psychosocial correlates than inactive parents. This study provides further confirmation of the important influence that parents exert on their child’s physical activity behavior.

Why do they do it? Assessing self-report physical activity behavior and quality of life in individuals with multiple sclerosis

2017 ◽  
Vol 25 (7) ◽  
pp. 964-975 ◽  
Author(s):  
Kimberly S Fasczewski ◽  
Sara M Rothberger ◽  
Diane L Gill
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Multiple Sclerosis ◽  
Self Efficacy ◽  
Physical Activity Behavior ◽  
Self Report ◽  
Physical Activity Interventions ◽  
Activity Behavior

Physical activity has been shown to effectively aid multiple sclerosis symptom management; however, individuals with multiple sclerosis tend to be inactive physically. Developing effective, sustainable, physical activity interventions involves first understanding motivators for physical activity. Open-ended surveys exploring physical activity motivators were collected from 215 individuals with multiple sclerosis. Responses indicate that self-efficacy and internalized motivation derived from physical activity outcomes were motivators for physical activity, and physical activity was cited as increasing overall quality of life. Future physical activity interventions should incorporate methods for building self-efficacy for physical activity and focus on increasing awareness of the long-term physical benefits derived from physical activity.

Tailored physical activity behavior change interventions: challenges and opportunities

2021 ◽  
Author(s):  
Jasmin K Ma ◽  
Theresa A Floegel ◽  
Linda C Li ◽  
Jenny Leese ◽  
Mary A De Vera ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Participation Rates ◽  
Social Emotional ◽  
Physically Active ◽  
Behavior Change Interventions ◽  
Challenges And Opportunities ◽  
Activity Behavior ◽  
Provider Experience ◽  
Physical Activity Behavior Change

Lay Summary Being physically active has many social, emotional, and health benefits, but very few individuals are active enough to see those benefits. Using interventions that are tailored, in other words, individualized to a person’s characteristics, needs, preferences, and/or situation, may help improve physical activity participation rates. However, a better understanding of how to do tailoring is needed. Our collaboration reviewed the literature and convened to suggest two key opportunities to better understand how tailored approaches to physical activity can be done: (a) improve engagement of those who the research is intended for and (b) understand the ethical impacts and patient/provider experience of using technology to support tailoring.

Ready to be Physically Active? The Effects of a Course Preparing Low-Income Multiethnic Women to be more Physically Active

2004 ◽  
Vol 31 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Rakale Collins ◽  
Rebecca E. Lee ◽  
Cheryl L. Albright ◽  
Abby C. King
Keyword(s):  
Physical Activity ◽  
Low Income ◽  
Social Cognitive ◽  
Physical Activity Intervention ◽  
Paired Comparison ◽  
Physical Activity Behavior ◽  
Physically Active ◽  
Preparatory Course ◽  
Activity Behavior ◽  
Multiethnic Women

The purpose of this study is to evaluate the effect of a preintervention physical activity preparatory course on physical activity, and social, cognitive, and transtheoretical constructs. The sample included 82 low-income, multiethnic women (75% Latina) who completed an 8-week course designed to prepare them to become more active prior to randomization into a 10-month physical activity intervention. Participants completed precourse and postcourse measures. Paired-comparison t tests showed increases in knowledge, perceived social support for exercise, minutes of walking per week, and total cognitive and behavioral processes following the preparatory course. Perceived barriers and self-efficacy for exercise did not change from precourse to postcourse. Preintervention preparatory courses may be an effective way to increase social and cognitive constructs associated with physical activity behavior, potentially yielding a greater effect from subsequent interventions.

Examination of Physical Activity in Adolescents Over the School Year

2009 ◽  
Vol 21 (4) ◽  
pp. 421-435 ◽  
Author(s):  
Mark W. Bruner ◽  
Karen E. Chad ◽  
Jodie A. Beattie-Flath ◽  
M. Louise Humbert ◽  
Tanya C. Verrall ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Significant Decline ◽  
Self Report ◽  
Activity Participation ◽  
Vigorous Activity ◽  
Adolescent Students ◽  
School Year ◽  
Activity Behavior ◽  
And Gender

This study monitored the physical activity behavior of adolescent students over a ten month school year. Physical activity was assessed at two month intervals using selfreport and objective (Actical accelerometers) measures. Self-report results (n = 547) indicated a decline in physical activity throughout the school year for all grades and genders. The decline was attributed largely to a decrease in organized activity participation. Objective physical activity results (n = 40) revealed a significant decline in activity in the latter half of the school year (February to June). Declining physical activity was attributed to a decrease in vigorous activity which was consistent across grade and gender. Collectively, the results highlight the importance of promoting consistent opportunities for adolescents to be active throughout the school year.

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