scholarly journals Perceptions of the Neighborhood Environment and Children’s Afterschool Moderate-to-Vigorous Physical Activity

2015 ◽  
Vol 27 (2) ◽  
pp. 243-251 ◽  
Author(s):  
Samantha McDonald ◽  
Marsha Dowda ◽  
Natalie Colabianchi ◽  
Dwayne Porter ◽  
Rod K. Dishman ◽  
...  
Keyword(s):  
Physical Activity ◽  
Structural Equation ◽  
Vigorous Physical Activity ◽  
Parent Support ◽  
Neighborhood Environment ◽  
Equation Modeling ◽  
Outdoor Activity ◽  
Child Perception ◽  
The Relationship ◽  
Children’S Physical Activity

Previous research suggests the neighborhood environment may be an important influence on children’s physical activity (PA) behaviors; however, findings are inconsistent. The purpose of this study was to further understand the relationship between perceptions of the neighborhood environment and children’s afterschool moderate-to-vigorous PA. Utilizing a structural equation modeling technique, we tested a conceptual model linking parent and child perceptions of the neighborhood environment, parent support for PA, and child outdoor PA with children’s afterschool moderate-to vigorous PA. We found that child perception of the neighborhood environment and outdoor PA were positively associated with afterschool moderate-to-vigorous PA. In addition, parent support for PA positively influenced children’s outdoor PA. The neighborhood environment and outdoor activity appear to play an influential role on children’s afterschool PA behaviors.

Academic Achievement and Physical Activity: The Ideal Relationship to Promote a Healthier Lifestyle in Adolescents

2020 ◽  
Vol 17 (5) ◽  
pp. 525-532
Author(s):  
Sergio Estrada-Tenorio ◽  
José A. Julián ◽  
Alberto Aibar ◽  
José Martín-Albo ◽  
Javier Zaragoza
Keyword(s):  
Physical Activity ◽  
Academic Achievement ◽  
School Environment ◽  
Structural Equation ◽  
Vigorous Physical Activity ◽  
Explanatory Models ◽  
Equation Modeling ◽  
Curvilinear Relationship ◽  
Cross Sectional ◽  
The Relationship

Background: School environment provides several intervention opportunities for physical activity. The aim of this study was to examine the relationship between objectively assessed moderate to vigorous physical activity (MVPA) and academic achievement in adolescents. Methods: Cross-sectional data were collected from 301 students aged between 13 and 15 years (46.51% boys), enrolled at 7 secondary schools in the city of Huesca (Spain). Participants wore accelerometers during a 7-day period, and their academic achievement was calculated from the average marks of all subjects. Structural equation modeling and quadratic regression analysis were performed to test both linear and nonlinear explanatory models. One-way analysis of variance was also performed to explore the effect of gender and the percentage of compliance with MVPA recommendations. Results: MVPA on weekdays and higher levels of body mass index were negatively associated with academic achievement. According to the curvilinear relationship, those students whose MVPA levels were closer to the daily recommendation were more likely to obtain higher academic achievement. However, a significant association was only shown in the case of boys. Conclusions: Adolescents who satisfy the international recommendations tend to obtain better academic achievement. Therefore, MVPA for adolescents should be prescribed within some beneficial time margins (50–70 min/d).

scholarly journals Physical Activity as a Mediator in the Relationship Between Race or Ethnicity and Changes in Multimorbidity

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 342-342
Author(s):  
Jason Newsom ◽  
Emily Denning ◽  
Ana Quinones ◽  
Miriam Elman ◽  
Anda Botoseneanu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sex Education ◽  
Chronic Conditions ◽  
Structural Equation ◽  
Insurance Coverage ◽  
Ethnic Disparities ◽  
Later Life ◽  
Equation Modeling ◽  
The Relationship ◽  
Racial Ethnic

Abstract Racial/ethnic disparities in multimorbidity (≥2 chronic conditions) and their rate of accumulation over time have been established. Studies report differences in physical activity across racial/ethnic groups. We investigated whether racial/ethnic differences in accumulation of multimorbidity over a 10-year period (2004-2014) were mediated by physical activity using data from the Health and Retirement Study (N = 10,724, mean age = 63.5 years). Structural equation modeling was used to estimate a latent growth curve model of changes in the number of self-reported chronic conditions (of nine) and investigate whether the relationship of race/ethnicity (non-Hispanic Black, Hispanic, non-Hispanic White) to change in the number of chronic conditions was mediated by physical activity after controlling for age, sex, education, marital status, personal wealth, and insurance coverage. Results indicated that Blacks engaged in significantly lower levels of physical activity than Whites (b = -.171, □ = -.153, p < .001), but there were no differences between Hispanics and Whites (b = -.010, □ = -.008, ns). Physical activity also significantly predicted both lower initial levels of multimorbidity (b = -1.437, □ = -.420, p < .001) and greater decline in multimorbidity (b = -.039, □ = -.075, p < .001). The indirect (mediational) effect for the Black vs. White comparison was significant (b = .007, □ = .011, 95% CI [.004,.010]). These results provide important new information for understanding how modifiable lifestyle factors may help explain disparities in multimorbidity in middle and later life, suggesting greater need to reduce sedentary behavior and increase activity.

scholarly journals Dynamics of sleep, sedentary behavior, and moderate-to-vigorous physical activity on school versus nonschool days

SLEEP ◽  
2020 ◽  
Author(s):  
Bridget Armstrong ◽  
Michael W Beets ◽  
Angela Starrett ◽  
Keith Brazendale ◽  
Gabrielle Turner-McGrievy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Time Use ◽  
Structural Equation ◽  
Time Series Data ◽  
Vigorous Physical Activity ◽  
Series Data ◽  
Equation Modeling ◽  
Specific Behavior ◽  
School Day

Abstract Study Objectives Studies examining time-use activity behaviors (sleep, sedentary behavior, and physical activity) on school days compared with nonschool days have examined these behaviors independently, ignoring their interrelated nature, limiting our ability to optimize the health benefits of these behaviors. This study examines the associations of school-day (vs. nonschool day) with time-use activity behaviors. Methods Time series data (6,642 days) from Fitbits (Charge-2) were collected (n = 196, 53% female, 5–10 years). We used a variable-centered dynamic structural equation modeling approach to estimate day-to-day associations of time-use activity behaviors on school days for each child. We then used person-centered cluster analyses to group individuals based on these estimates. Results Within-participant analysis showed that on school days (vs. nonschool days), children (1) slept less (β = −0.17, 95% CI = −0.21, −0.13), (2) were less sedentary (β = −0.05, 95% CI = −0.09, −0.02), and (3) had comparable moderate-to-vigorous physical activity (MVPA; β = −0.05, 95% CI = −0.11, 0.00). Between-participant analysis showed that, on school days, children with higher sleep carryover experienced greater decreases in sleep (β = 0.44, 95% CI = 0.08, 0.71), children with higher body mass index z-score decreased sedentary behavior more (β = −0.41, 95% CI = −0.64, −0.13), and children with lower MVPA increased MVPA more (β = −0.41, 95% CI −0.64, −0.13). Cluster analysis demonstrated four distinct patterns of connections between time-use activity behaviors and school (High Activity, Sleep Resilient, High Sedentary, and Dysregulated Sleep). Conclusions Using a combination of person-centered and more traditional variable-centered approaches, we identified patterns of interrelated behaviors that differed on school, and nonschool days. Findings can inform targeted intervention strategies tailored to children’s specific behavior patterns.

An Examination of Multilevel Factors That May Explain Gender Differences in Children’s Physical Activity

2013 ◽  
Vol 10 (7) ◽  
pp. 982-992 ◽  
Author(s):  
Noe C. Crespo ◽  
Kirsten Corder ◽  
Simon Marshall ◽  
Gregory J. Norman ◽  
Kevin Patrick ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gender Differences ◽  
Linear Regression ◽  
Vigorous Physical Activity ◽  
Parent Support ◽  
Cross Sectional ◽  
Physically Active ◽  
Several Variables ◽  
Sectional Analysis ◽  
Children’S Physical Activity

Background:Girls are less physically active than boys, yet no single study has examined the factors that may explain gender differences in children’s physical activity (PA).Methods:This study was a cross-sectional analysis of data from 116 caregivers and their children aged 5–8 years who participated in the MOVE study. Caregivers reported various factors that may relate to children’s PA (eg, encouragement for child PA and PA equipment at home). Child PA was measured by 7-day accelerometry. Linear regression tested for the variance in moderate-to-vigorous physical activity (MVPA) explained by gender and several variables. Gender and ethnicity interactions were examined.Results:Caregivers were mostly female (97%), mean age 38 ± 6 years, mean BMI 28 ± 6 (kg/m2). Child’s mean age was 8.1 ± 0.7, 54% were female and 40% were overweight/obese. Girls were less physically active than boys (54.1 ± 19.7 vs. 65.2 ± 28.0 daily minutes of MVPA, respectively). Among girls, more days of PE/week was associated with greater MVPA. Among boys, greater parent support for PA, greater parent modeling for PA, and greater number of PA equipment in the home were associated with greater MVPA.Conclusions:This study supports that boys and girls have different correlates for MVPA, which may partly explain gender differences in PA.

Modeling Longitudinal Relationships Between Habit and Physical Activity: Two Cross-Lagged Panel Design Studies in Older Adults

2017 ◽  
Vol 25 (3) ◽  
pp. 464-473 ◽  
Author(s):  
Rob J.H. van Bree ◽  
Catherine Bolman ◽  
Aart N. Mudde ◽  
Maartje M. van Stralen ◽  
Denise A. Peels ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Structural Equation ◽  
Functional Limitations ◽  
Equation Modeling ◽  
Design Studies ◽  
Mediation Effects ◽  
Measurement Results ◽  
The Relationship ◽  
Longitudinal Relationships

These longitudinal studies in older adults targeted mediated relationships between habit and physical activity (PA). In The Netherlands two independent studies were conducted among 1976 (Study 1: Mage = 63.63, SD = 8.66, 30% functional limitations) and 2140 (Study 2: Mage = 62.75, SD = 8.57, 45% functional limitations) adults aged 50 years or older. Cross-lagged panel designs were applied to examine whether habit mediates the relationship between prior and later PA and whether PA simultaneously mediates the relationship between prior and later habit. Data on habit and PA were collected by means of questionnaires at baseline (t0) and at 6 (t1) and 12 (t2) months after baseline measurement. Results of structural equation modeling analyses were not unambiguous. Indications for the existence of both hypothesized mediation effects were found, but no clear, unequivocal pattern appeared. Somewhat more support was found for the PA-habit-PA path than for the habit-PA-habit path. More research is needed to draw more definitive conclusions.

scholarly journals In-school and Out-of-school Physical Activity in Preschool Children

2016 ◽  
Vol 13 (6) ◽  
pp. 606-610 ◽  
Author(s):  
Jennifer R. O’Neill ◽  
Karin A. Pfeiffer ◽  
Marsha Dowda ◽  
Russell R. Pate
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Repeated Measures ◽  
Vigorous Physical Activity ◽  
Pearson Correlation ◽  
Full Sample ◽  
Repeated Measures Analysis ◽  
The Relationship ◽  
Children’S Physical Activity ◽  
Out Of School

Background:Little is known about the relationship between children’s physical activity (PA) in preschool (in-school) and outside of preschool (out-of-school). This study described this relationship.Methods:Participants were 341 children (4.6 ± 0.3 years) in 16 preschools. Accelerometers measured moderate-to-vigorous physical activity (MVPA) and total physical activity (TPA) in-school and out-of-school. In the full sample, Pearson correlation was used to describe associations between in-school and out-of-school PA. In addition, children were categorized as meeting or not meeting a PA guideline during school. MVPA and TPA were compared between the 2 groups and in-school and out-of-school using 2-way repeated-measures analysis of variance.Results:In the full sample, in-school and out-of-school PA were positively correlated for MVPA (r = .13, P = .02) and TPA (r = .15, P = .01). Children who met the guideline in-school remained comparably active out-of-school. However, those who did not meet the guideline were more active out-of-school than in-school. The groups were active at comparable levels while out-of-school. Identical patterns were seen for MVPA and TPA.Conclusions:Children’s in-school PA was positively associated with out-of-school PA. Children who did not meet the guideline in-school were more active out-of-school than in-school, suggesting preschool and classroom factors may reduce some children’s PA in-school.

scholarly journals Influences of Social Support, Perceived Barriers, and Negative Meanings of Physical Activity on Physical Activity in Middle School Students

2011 ◽  
Vol 8 (2) ◽  
pp. 210-219 ◽  
Author(s):  
Ya-Wen Hsu ◽  
Chih-Ping Chou ◽  
Selena T. Nguyen-Rodriguez ◽  
Arianna D. McClain ◽  
Britni R. Belcher ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Los Angeles ◽  
Structural Equation ◽  
Vigorous Physical Activity ◽  
Perceived Barriers ◽  
Equation Modeling ◽  
Future Research ◽  
School Students ◽  
Family Social Support

Background:A profound decline in physical activity occurs in puberty. This phenomenon is not well understood. Therefore, the purpose of this study is to examine associations between family/friend social support for physical activity, negative meanings of physical activity (NMPA), and internal /external barriers to physical activity with moderate to vigorous physical activity (MVPA), and sedentary and light behavior (SLB) in youth.Methods:A total of 350 participants from 7 Los Angeles County middle schools participated in the study (62% Latina, 79% females). Hypothesized pathways were examined using structural equation modeling. Psychosocial variables and participation in MVPA and SLB were assessed by self-reported questionnaires.Results:NMPA were related to lower levels of family/friend social support and greater internal/external barriers. Family social support was the only significant indicator of MVPA (β = 0.79). Low family social support was related to higher SLB (β = −0.25).Conclusions:Family social support seems crucial to promote MVPA and reduce SLB in adolescents and might be influenced by child’s feelings about physical activity. Future research should consider the interrelationship between psychosocial correlates of physical activity.

scholarly journals The Importance of Parents’ Income and Education Level in Relation to Their Preschool Children’s Activity Level at Leisure

Children ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 733
Author(s):  
Oda Malmo ◽  
Karin Kippe ◽  
Pål Lagestad
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Physical Activity Level ◽  
Vigorous Physical Activity ◽  
Education Level ◽  
Activity Level ◽  
Full Time ◽  
The Relationship ◽  
Children’S Physical Activity ◽  
Parents Education

Previous research indicate that socioeconomic status positively corresponds with adults’ and adolescents’ physical activity levels. This study investigated the relationship between parents’ education and income, and preschool children’s physical activity level. A total of 244 Norwegian preschool children aged four to six and their parents were enrolled in the study. The children wore an Actigraph GT1M accelerometer for seven consecutive days to measure their physical activity level. Parents completed a questionnaire that provided information about their education level and income level. To examine the relationship between the parents’ education and income and their children’s physical activity level at leisure, the Kruskal-Wallis H test was conducted. The results revealed that neither mothers’ nor fathers’ education level or income, were associated with their children’s minutes in moderate to vigorous physical activity (MVPA) at leisure. The preschool curriculum of Norway may be one explanation why socioeconomic status was not linked to physical activity in this study. Another possibility is that this study was limited to full-time students with two parents. More research is needed to determine whether parent income or education is linked to physical activity among more diverse or older children in Norway.

The Relationship Between Self-Regulatory Efficacy and Physical Activity in Adolescents With a Caveat: A Cross-Lag Design Examining Weather

2020 ◽  
Vol 32 (4) ◽  
pp. 210-216
Author(s):  
Kathleen S. Wilson ◽  
Kevin S. Spink
Keyword(s):  
Physical Activity ◽  
Self Efficacy ◽  
Structural Equation ◽  
Weather Conditions ◽  
Cold Weather ◽  
Equation Modeling ◽  
Future Research ◽  
School Year ◽  
Warm Weather ◽  
The Relationship

Purpose: The use of self-efficacy to predict physical activity has a long history. However, this relationship is complex, as self-efficacy is thought to influence and be influenced by physical activity. The directionality of the self-regulatory efficacy (SRE) and physical activity relationship was examined using a cross-lagged design. A secondary purpose was to examine these relationships across differing weather conditions. Methods: Canadian adolescents (N = 337; aged between 13 and 18 years) completed the physical activity and SRE measures 4 times during a school year. Structural equation modeling was used to perform a cross-lag analysis. Results: The relationships between physical activity and SRE appeared to be weather dependent. During a more challenging weather period (eg, cold weather), the relationship between physical activity and SRE was bidirectional. However, no relationship emerged when the 2 constructs were assessed during a more optimal weather period (eg, warm weather). Conclusions: Some support has been provided for the bidirectional nature of the relationship between physical activity and SRE. The relationship appeared to be qualified by climate considerations, suggesting that future research examine how weather may relate not just to physical activity but also to the correlates of physical activity.

scholarly journals Physical Activity as a Regulatory Variable between Adolescents’ Motivational Processes and Satisfaction with Life

2019 ◽  
Vol 16 (15) ◽  
pp. 2765 ◽  
Author(s):  
Mikel Vaquero Solís ◽  
Pedro Antonio Sánchez-Miguel ◽  
Miguel Ángel Tapia Serrano ◽  
Juan J. Pulido ◽  
Damián Iglesias Gallego
Keyword(s):  
Physical Activity ◽  
Structural Equation ◽  
Satisfaction With Life ◽  
Autonomous Motivation ◽  
Psychological Needs ◽  
Basic Psychological Needs ◽  
The Other ◽  
Equation Modeling ◽  
Controlled Motivation ◽  
The Relationship

Framed within Self-Determination Theory, the objective of this study was to analyze the relationship between satisfaction and frustration of basic psychological needs, levels of motivation, physical activity, and satisfaction with life. Methods: A total of 487 students participated, comprising males (n = 262) and females (n = 225), aged between 14 and 16 years (M = 15.02; SD = 0.87), from different secondary schools. Results: A regression analysis was carried out (structural equation modeling) that revealed the existence of two theoretical lines, one positive and the other negative, where the satisfaction of basic psychological needs was positively related to autonomous motivation and physical activity, which predicted satisfaction with life. On the other hand, the frustration of basic psychological needs was positively related to controlled motivation, whereas controlled motivation (introjected regulation and extrinsic regulation) was inversely associated with physical activity and satisfaction with life. Conclusion: The results show the importance of motivational processes in physical activity, and the effects of physical activity on satisfaction with life in adolescents who spend more time engaged in physical activity.

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