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 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.

scholarly journals Ninth Graders’ Energy Balance Knowledge and Physical Activity Behavior: An Expectancy-Value Perspective

2012 ◽  
Vol 31 (4) ◽  
pp. 293-310 ◽  
Author(s):  
Senlin Chen ◽  
Ang Chen
Keyword(s):  
Physical Activity ◽  
High School ◽  
High School Students ◽  
Energy Balance ◽  
Physical Activity Behavior ◽  
After School ◽  
Path Coefficient ◽  
School Students ◽  
Expectancy Value ◽  
Activity Behavior

Expectancy beliefs and task values are two essential motivators in physical education. This study was designed to identify the relation between the expectancy-value constructs (Eccles & Wigfield, 1995) and high school students’ physical activity behavior as associated with their energy balance knowledge. High school students (N = 195) in two healthful-living programs (i.e., combination of physical and health education) responded to measures of expectancy-value motivation, energy balance knowledge, in-class physical activity, and after-school physical activity. The structural equation modeling confirmed positive impact from expectancy beliefs and interest value to in-class physical activity (Path coefficient range from .19 to .26, ps < .01). Cost perception was found exerting a negative impact on after-school physical activity but a positive one on lower level of understanding of energy balance (Path coefficient range from -.33 to -.39, ps < .01). The findings painted a complex but meaningful picture about the motivational impact of expectancy-value constructs on physical activity and energy balance knowledge. School healthful-living programs should create motivational environments that strengthen students’ expectancy beliefs and interest value and alleviate their negative perceptions and experiences.

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.

Multimorbidity, mortality, and physical activity

2016 ◽  
Vol 12 (4) ◽  
pp. 272-280 ◽  
Author(s):  
Paul D Loprinzi ◽  
Ovuokerie Addoh ◽  
Chelsea Joyner
Keyword(s):  
Physical Activity ◽  
Mortality Risk ◽  
Physical Inactivity ◽  
Self Report ◽  
Minimal Effect ◽  
Increased Risk ◽  
All Cause Mortality ◽  
The Government ◽  
Physician Diagnosis

Objectives Multimorbidity and physical inactivity are individually associated with increased mortality risk, but the possibility for physical activity to moderate the multimorbidity–mortality relationship has yet to be investigated. Methods Data from the 1999–2006 NHANES were employed, with 16,091 participants constituting the analytic sample. Participants were followed through 2011, including a median follow-up of 99 months. Physical activity was assessed via self-report with multimorbidity assessed from physician diagnosis. Results After adjustment, for every 1 morbidity increase, participants had a 23% increased risk of all-cause mortality (HR = 1.23; 95% CI: 1.19–1.28; p < 0.001). Multimorbidity mostly remained associated with all-cause mortality across all levels of physical activity, with the exception of those achieving four times the dose of the government guidelines. Discussion With the exception of those who engaged in high levels of self-reported physical activity, physical activity had a minimal effect on the multimorbidity–mortality relationship.

scholarly journals Self-Related Health, Physical Activity and Complaints in Swedish High School Students

2006 ◽  
Vol 6 ◽  
pp. 816-826 ◽  
Author(s):  
Marie Alricsson ◽  
Bodil J. Landstad ◽  
Ulla Romild ◽  
Suzanne Werner
Keyword(s):  
Physical Activity ◽  
High School ◽  
High School Students ◽  
Physical Activity Behavior ◽  
Musculoskeletal Symptoms ◽  
School Students ◽  
Physical Effort ◽  
Activity Behavior ◽  
Level Of Effort ◽  
Number Of Males

The aim of this investigation was to study self-related health, physical activity and level of exertion, as well as body complaints in Swedish high school students. A total of 993 high school students aged 16–19 years participated in the study. A questionnaire was completed at school and included questions about self-related health, physical activity behavior, type of physical activity/sport, intensity, duration, possible injuries or complaints, and absence from physical training at school, during the last 3 months. The results showed that 26% of the high school students participated in sports on a regular basis. Males reported significantly better health than females (p< 0.0005). A significantly higher number of females participated in physical activities at a lower level of effort (p< 0.0005) and a higher number of males trained at a higher level of effort (p< 0.005). Sixtyone percent reported body pain during the last 3 months, representing a higher number of females than males (p= 0.03). A higher number of females than males reported complaints from the back (p= 0.002), the knees (p= 0.015), the neck (p= 0.001), and the hip (p= 0.015). Females with body complaints reported poorer health than those without complaints. There was a correlation between poor self-related health and a lower level of physical effort (0.219;p< 0.001). The results showed that the prevalence of musculoskeletal symptoms was high in this population and demonstrated a certain association with self-related health. Therefore, it is important to make it easy for adolescents to perform physical activity at school and during their leisure time in order to prevent chronic diseases.

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.

Effectiveness of additional resistance and balance training and telephone support program in exercise-based cardiac rehabilitation on quality of life and physical activity: Randomized control trial

2021 ◽  
pp. 026921552110656
Author(s):  
Egle Tamulevičiūtė-Prascienė ◽  
Aurelija Beigienė ◽  
Urtė Lukauskaitė ◽  
Kamilė Gerulytė ◽  
Raimondas Kubilius ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Balance Training ◽  
Physical Activity Behavior ◽  
Support Program ◽  
Telephone Support ◽  
Additional Resistance ◽  
Activity Behavior

Objectives To evaluate 20 days and 3 months follow-up effectiveness of cardiac rehabilitation (CR) enhanced by resistance/balance training and telephone-support program compared to usual CR care in improving quality of life, clinical course and physical activity behavior. Design Single-centre randomized controlled trial. Setting Inpatient CR clinic Subjects 116 (76.1 ± 6.7 years, 50% male) patients 14.5 ± 5.9 days after valve surgery/intervention were randomized to intervention group (IG, n = 60) or control group (CG, n = 56). Intervention Additional resistance/balance training (3 days/week) during phase-II CR and telephone-support program during 3-month follow-up. CG patients were provided with usual CR care. Main measures Short Form 36 Health Survey scales, European Quality of Life 5 Dimensions 3 Level Version QoL index, visual analog scale, clinical course, and physical activity behavior assessed with standardized questionnaires. Results IG reported statistically significant higher mental component score (48.5 ± 6.91 vs. 40.3 ± 11.21 at the baseline, 50.8 ± 9.76 vs. 42.6 ± 9.82 after 20 days, 49.4 ± 8.45 vs. 40.5 ± 8.9 after 12 weeks follow up), general health (48.6 ± 3.17 vs. 45.0 ± 2.95 at the baseline, 53.6 ± 3.02 vs. 43.8 ± 2.55 after 20 days, 53.2 ± 3.11 vs. 44.2 ± 3.07 after 12 weeks) and role limitations due to emotional problems (48.5 ± 15.2 vs. 27.7 ± 11.5 at the baseline, 72.7 ± 12.6 vs. 30.5 ± 11.2 after 20 days, 66.6 ± 14.2 vs. 36.1 ± 11.2 after 12 weeks) in all three assessments ( p < 0.05). CG patients had more documented hospital admissions (4 (8%) vs 10 (25%), p = 0.027), atrial fibrillation paroxysms (3 (6.0%) vs. 10 (35.0%), p = 0.011) and blood pressure swings (13 (26%) vs. 20 (50%), p = 0.019). IG patients chose more different physical activities (1.7 ± 0.7 vs. 1.25 ± 0.63, p = 0.002), spent more time being physical active every day (195.6 ± 78.6 vs. 157.29 ± 78.8, p = 0.002) Conclusions The addition of resistance/balance exercises and telephone-support program 12 weeks after to the CR could linked to higher physical activity levels and fewer clinical complications but did not lead to a significant improvement in quality of life.

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