Relationships Between GIS Environmental Features and Adolescent Male Physical Activity: GIS Coding Differences

2006 ◽  
Vol 3 (2) ◽  
pp. 230-242 ◽  
Author(s):  
Russell Jago ◽  
Tom Baranowski ◽  
Michael Harris

Background:It is not clear if relationships between GIS obtained environmental features and physical activity differ according to the method used to code GIS data.Methods:Physical activity levels of 210 Boy Scouts were measured by accelerometer. Numbers of parks, trails, gymnasia, bus stops, grocery stores, and restaurants within the commonly used 400 m and 1-mile (1609.3 m) buffers of subject residences and distance to the nearest feature were calculated. Residential density, connectivity, and crime rate were calculated. Regression models with minutes of sedentary, light, or moderate-to-vigorous activity as dependent variables and environmental and demographics as independent variables were run with backward deletion of environmental variables.Results:Park, crime, and gym variables were associated with physical activity, but relationships varied according to whether a 400 m, 1 mile, or nearest criteria was used.Conclusion:Environmental variables were associated with the physical activity of adolescent males, but the association was method dependent.

2020 ◽  
Vol 11 ◽  
Author(s):  
Cassio M. Meira ◽  
Kaique S. Meneguelli ◽  
Maysa P. G. Leopoldo ◽  
Alex A. Florindo

This study investigated relationships between state anxiety and leisure-domain physical activity levels during Covid-19 pandemic. We used frequency, duration, and intensity as key variables of physical activity. Trait anxiety, state anxiety before pandemic, age, gender, and education level were also included in the analysis. Our general hypothesis was that participants who declared doing more physical activity levels would exhibit lower levels of anxiety during the Covid-19 pandemic. A convenient sample of 571 volunteer adults (mean age 39 ± 14 years) was drawn mainly from São Paulo State (89.2% of the sample), the epicenter of Covid-19 pandemic in Brazil. To obtain the participants’ levels of anxiety (trait, state before pandemic, and state during pandemic) we used a validated short-version of the State and Trait Anxiety Inventory. Levels of physical activity were measured via questions from VIGITEL, a validated questionnaire about the individual’s habits on risk factors. Answers were given regarding the first week of March 2020 (before pandemic) and at the very moment the participant was filling in the electronic form (June 2020). Data analyses were conducted through descriptive and inferential techniques, with the use of non-parametric tests and linear regression models. Overall, participants’ responses indicate that anxiety levels were higher during the pandemic compared to the period that preceded the pandemic, and that frequent and long physical activity in the leisure-domain reduced anxiety, regardless its intensity. The regression models revealed an inverse relationship between physical activity and anxiety (the more physical activity, the less anxiety) and independent of gender, age, education level, trait anxiety, and physical activity before pandemic.


2010 ◽  
Vol 18 (3) ◽  
pp. 353-368 ◽  
Author(s):  
C. Jessie Jones ◽  
Dana N. Rutledge ◽  
Jordan Aquino

The purposes of this study were to determine whether people with and without fibromyalgia (FM) age 50 yr and above showed differences in physical performance and perceived functional ability and to determine whether age, gender, depression, and physical activity level altered the impact of FM status on these factors. Dependent variables included perceived function and 6 performance measures (multidimensional balance, aerobic endurance, overall functional mobility, lower body strength, and gait velocity—normal or fast). Independent (predictor) variables were FM status, age, gender, depression, and physical activity level. Results indicated significant differences between adults with and without FM on all physical-performance measures and perceived function. Linear-regression models showed that the contribution of significant predictors was in expected directions. All regression models were significant, accounting for 16–65% of variance in the dependent variables.


2015 ◽  
Vol 32 (1) ◽  
pp. 68-82 ◽  
Author(s):  
Justin A. Haegele ◽  
David Porretta

The purpose of this article was to review published research literature on physical activity for school-age individuals with visual impairments by describing study characteristics and major findings. Keyword searches were used to identify articles from electronic databases published from 1982 to June 2013. Eighteen articles met all inclusion criteria, and relevant data such as participants, visual-impairment levels, theory, measurement, and dependent variables were extracted from them. Of the 18 studies, 5 were descriptive, 6 correlational, and 7 were interventions. Only 4 studies explicitly stated a theoretical or conceptual framework. Major findings suggest that low physical activity levels of school-age individuals with visual impairments may be related to perceived participation barriers including the availability of appropriate opportunities rather than visual acuity or educational setting.


1985 ◽  
Vol 7 (2) ◽  
pp. 125-136 ◽  
Author(s):  
Kenneth R. Fox ◽  
Charles B. Corbin ◽  
William H. Couldry

The Psychological Model for Physical Activity Participation and the Physical Estimation and Attraction Scales (PEAS) were developed by Sonstroem using adolescent male subjects. This study investigated the adequacy of the model and instrument for explaining the involvement of college-age females in physical activity. Results indicated that although the model worked similarly for both sexes, there were important differences. Attraction to physical activity, as measured by the Attraction scale, does not contribute to the model for the females in this study, but it does for males. Physical estimation emerged as a key factor, particularly for females, in its relationship with self-esteem, fitness, and physical activity levels. The Estimation Scale appears to be a reliable and powerful instrument for assessing this construct. Future application and development of the model and scales is discussed.


2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
Paul Yoxon

A survey of Eurasian otters (Lutra lutra) along the Skye coastline revealed a variation in distribution on different coastal types. Factors like geology, width of the intertidal zone, intertidal makeup, slope of coastline, inland vegetation, and number of freshwater pools could influence otter distribution. A quantitative method based on a logistic regression model is applied to take into account three scalable and four categorical environmental variables which may or may not affect otter distribution. Otter presence or absence in 500 m coastal sections was compared with binary dependent variables and a set of independent variables on 622 coastal sites. Analysis shows that this method can be used to characterise combinations of factors to predict if otters are likely to occur on a particular coastline. Geology, height 25 m above High Water Mark (indicating slope of coastline), and number of freshwater pools all affect otter utilisation of the coastal zone. Coastlines with Torridonian and Mesozoic rocks and the Landslip area show a positive effect on otters, while all other coastlines have a negative effect. Although primarily of theoretical importance, the model could be used as a tool to locate coastlines elsewhere which are of potential conservation importance for otters.


1994 ◽  
Vol 78 (1) ◽  
pp. 155-159 ◽  
Author(s):  
Mel E. Finkenberg ◽  
James M. Dinucci ◽  
Sandra L. McCune ◽  
E. Donice McCune

206 women and 88 men enrolled in classes requiring different amounts of physical activity were administered the Personal Incentives for Exercise Questionnaire A two-way multivariate analysis of variance, with course type and gender as the categorical independent variables and 10 subscale scores representing incentives to exercise as the multivariate dependent variables, was completed. Canonical discriminant analysis was used to identify which of the incentives is most useful in discriminating among participants in active and less active classes or between men and women. For main effects, analysis indicated an over-all significant difference for both course type and gender. Men scored higher than women on activity and on competition, for example, while women scored higher on appearance and weight management.


2006 ◽  
Vol 3 (3) ◽  
pp. 314-322 ◽  
Author(s):  
Jorge Mota ◽  
Nuno Delgado ◽  
Mariana Almeida ◽  
José Carlos Ribeiro ◽  
Maria Paula Santos

Background:The purpose of this study was 1) to compare physical activity levels according to body-mass index; 2) to determine which, if any, neighborhood perceived attributes were related to overweight.Methods:The sample comprised 610 girls age 14.7 ± 1.6 y. Girls were grouped into normal weight and overweight. Environmental variables and physical activity were assessed by questionnaire.Results:No significant differences were found in physical activity levels between normal weight and overweight girls. Logistic regression analysis revealed that girls who agreed that “there is so much traffic on the streets that it makes it unpleasant to walk in the neighborhood” were more likely to be overweight (OR = 1.78; 95% CI 1.10 to 2.89).Conclusion:The study found no relationship between perceptions of the environment and overweight among Portuguese girls, except for perceptions of security for walking in the neighborhood.


2018 ◽  
Vol 5 (4) ◽  
pp. 190-210
Author(s):  
Kemal TEKİN ◽  
Erhan BIYIK

AIM: The aim of this study is to investigate the effects of health applications of the Health Transformation Program (HTP) on public hospitals and health professionals.MATERIALS AND METHODS: This descriptive and seeking relations study was conducted with the health professionals who were working in 4 public hospitals located in Ankara province. The survey was administered to 335 health professionals by using stratified sampling method. Frequency analysis, factor analysis, correlation, and regression analysis methods were used to analyze the data.RESULTS: Independent variables were infrastructure, health care delivery, and management. Dependent variables were digital displays and health professional variables. Two different regression models were developed. Multiple regression models which were designed for independent and dependent variables were statistically significant. Independent variables explained almost 14% of the total variance of the digital displays and 33% of the variance of the health professionals. CONCLUSION: The management and the representation of the health services are important forecasting tools for digital displays. However, the infrastructure of the health care does not have a significant effect. On the other hand, all of the independent variables are significant forecasting tools for health professionals and the Health Transformation Program (HTP) affects the health professionals more than public hospitals. 


2021 ◽  
Author(s):  
Tan Kim Hek

The purpose of the study was to determine whether the cash turnover, receivable turnover, and inventory turnover affect the profitability at the trade companies listed in Indonesia Stock Exchange partially and simultaneously. The independent variables were examined in this study is the cash turnover, receivable turnover, and inventory turnover. While the dependent variables is profitability. Sampling was done by purposive sampling. This research test equipment using linesar regression models. Conclusion from the study is the simultaneous cash turnover, receivable turnover, and inventory turnover significantly influence profitability. Partially, variable cash turnover and inventory turnover effect on profitability. While the receivable turnover does not significantly influence profitability. Determination test result showed that the cash turnover, receivable turnover, and inventory turnover isonly able to explain the profitability while the remaining 41,7% is influenced by other variables that are not discussed in this study.


Author(s):  
Jolyn Ee ◽  
Sharon Parry ◽  
Beatriz IR de Oliveira ◽  
Joanne A. McVeigh ◽  
Erin Howie ◽  
...  

Children are increasingly spending more time sedentary at school and during leisure time. This study examined the effects of a standing desk intervention in a classroom on children’s standing and sitting time at school, sedentary and physical activity levels throughout the day (waking hours), and musculoskeletal discomfort. A within-subjects crossover study design was used. Participants used either a standing desk or traditional seated desk for 21 days before swapping desks for another 21 days. Accelerometry and musculoskeletal discomfort data were collected during the last seven days of each 21-day period. Mixed models were used to analyse accelerometry data. Zero-inflated regression models and logistic regression models were used to analyse discomfort data. Forty-seven male students (aged 10–11 years) participated in the study. Standing time was 21 min/school day higher (p < 0.001) and sitting time was 24 min/school day lower (p = 0.003) when standing desks were used. No significant differences were found in sedentary and physical activity time during waking hours between the standing desk and seated desk conditions. Students were less likely to report musculoskeletal discomfort in the neck, shoulder, elbows and lower back when using standing desks (OR 0.52–0.74). Standing desks significantly increased classroom standing time and decreased musculoskeletal discomfort reports but had no overall effect on daily physical activity levels. Schools should consider moving towards classrooms enabling a variety of postures to potentially improve the long-term health of children.


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