Test–Retest Reliability of a Preadolescent Environmental Access to Physical Activity Questionnaire

2008 ◽  
Vol 5 (s1) ◽  
pp. S62-S72 ◽  
Author(s):  
Heather Elizabeth Erwin
Keyword(s):  
Physical Activity ◽  
School Environment ◽  
Physical Activity Behavior ◽  
Ecological Systems ◽  
Activity Behavior ◽  
Test Retest Reliability ◽  
The Relationship ◽  
Children’S Physical Activity ◽  
Environmental Access ◽  
Activity Questionnaire

Background:Physical activity behavior is an important aspect of overall health, and it is important to understand determinants of physical activity in order for children to accumulate the recommended levels. The ecological-systems theory describes the relationship between individuals and their contexts, suggesting that environment affects physical activity behaviors. Researchers should measure children’s access to physical activity to determine environmental influences. At the time of data collection, however, no reliable questionnaires had been created for measuring children’s access to physical activity.Methods:Students from grades 4 and 5 completed a physical activity environmental-access questionnaire on 2 occasions, approximately 7 to 10 days apart.Results:The questionnaire appeared appropriate for children age 9 to 12. The lowest reliability was found with items located in the school environment.Conclusions:This questionnaire is a suitable tool for examining children’s physical activity supports and inhibitors.

Prevalence of Physical Activity Among Lebanese Adults: A Cross-Sectional Study

2009 ◽  
Vol 6 (3) ◽  
pp. 315-320 ◽  
Author(s):  
Mohamad Al-Tannir ◽  
Samer Kobrosly ◽  
Taha Itani ◽  
Mariam El-Rajab ◽  
Sawsan Tannir
Keyword(s):  
Physical Activity ◽  
Medical History ◽  
Smoking Status ◽  
Physical Activity Behavior ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Sectional Study ◽  
Cross Sectional ◽  
Activity Behavior ◽  
The Relationship

Background:This survey aims to assess the prevalence of physical activity among adult Lebanese, and to report the relationship between sociodemographic variables and physical activity behavior, highlighting the correlates discouraging people to carry out physical activity.Methods:A cross-sectional study using an anonymous self-reported questionnaire was conducted on 346 adults from four Lebanese districts. Demographic characteristics, physical activity, smoking status, alcohol consumption, and medical history were obtained.Results:Prevalence of physical activity among Lebanese adults was 55.5% (192/346). Age, BMI, marital status, medical history, occupation, educational level, and smoking were significantly associated with physical activity (P < .05). Inactive obese participants were about three times more likely to report hypertension and diabetes than inactive normal weight participants (P = .013). BMI was significantly higher among inactive participants (P = .014).Conclusion:Physical activity among Lebanese adults was comparable to other populations. Married, non–office workers, and smokers were the main correlates of physical inactivity in Lebanese adulthood.

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.

The relationship between fitness app use and physical activity behavior is mediated by exercise identity

2020 ◽  
Vol 108 ◽  
pp. 106313 ◽  
Author(s):  
Jacob E. Barkley ◽  
Andrew Lepp ◽  
Antonio Santo ◽  
Ellen Glickman ◽  
Bryan Dowdell
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Exercise Identity ◽  
Activity Behavior ◽  
The Relationship

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.

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