scholarly journals Factors that influence physical activity: Exploring the impact of demographic and built environment variables for the communities of Osceola, Independence and West Liberty, Iowa

2011 ◽  
Author(s):  
Jasna Hadzic
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Environment Variables ◽  
The Impact

scholarly journals Is missing geographic positioning system data in accelerometry studies a problem, and is imputation the solution?

2016 ◽  
Vol 11 (2) ◽  
Author(s):  
Kristin Meseck ◽  
Marta M. Jankowska ◽  
Jasper Schipperijn ◽  
Loki Natarajan ◽  
Suneeta Godbole ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Linear Mixed Model ◽  
Vigorous Physical Activity ◽  
Gps Data ◽  
Positioning System ◽  
Accelerometer Data ◽  
Generalised Linear Mixed Model ◽  
Significant Difference ◽  
The Impact

The main purpose of the present study was to assess the impact of global positioning system (GPS) signal lapse on physical activity analyses, discover any existing associations between missing GPS data and environmental and demographics attributes, and to determine whether imputation is an accurate and viable method for correcting GPS data loss. Accelerometer and GPS data of 782 participants from 8 studies were pooled to represent a range of lifestyles and interactions with the built environment. Periods of GPS signal lapse were identified and extracted. Generalised linear mixed models were run with the number of lapses and the length of lapses as outcomes. The signal lapses were imputed using a simple ruleset, and imputation was validated against person-worn camera imagery. A final generalised linear mixed model was used to identify the difference between the amount of GPS minutes pre- and post-imputation for the activity categories of sedentary, light, and moderate-to-vigorous physical activity. Over 17% of the dataset was comprised of GPS data lapses. No strong associations were found between increasing lapse length and number of lapses and the demographic and built environment variables. A significant difference was found between the pre- and postimputation minutes for each activity category. No demographic or environmental bias was found for length or number of lapses, but imputation of GPS data may make a significant difference for inclusion of physical activity data that occurred during a lapse. Imputing GPS data lapses is a viable technique for returning spatial context to accelerometer data and improving the completeness of the dataset.

Built Environment Associations With Health Behaviors Among Hispanics

2013 ◽  
Vol 10 (3) ◽  
pp. 335-342 ◽  
Author(s):  
Robert Fields ◽  
Andrew T. Kaczynski ◽  
Melissa Bopp ◽  
Elizabeth Fallon
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Health Behaviors ◽  
Neighborhood Change ◽  
Active Commuting ◽  
Environment Variables ◽  
Hispanic Adults ◽  
Physical Activity Recommendations ◽  
Multiple Health ◽  
Activity Recommendations

Background:Few studies of the built environment and physical activity or other health behaviors have examined minority populations specifically. The purpose of this study was to examine associations between the built environment and multiple health behaviors and outcomes among Hispanic adults.Methods:Community partners distributed surveys (n = 189) in 3 communities in southwest Kansas. Logistic regression was used to examine relationships between neighborhood perceptions and 4 outcomes.Results:Meeting physical activity recommendations was associated with the presence of sidewalks and a safe park, and inversely related to higher crime. Residential density and shops nearby were related to active commuting. Sedentary behavior was inversely related to having a bus stop, bike facilities, safe park, interesting things to look at, and seeing people active. Finally, seeing people active was positively associated with being overweight.Conclusions:This study suggests that among Hispanics, many built environment variables are related to health behaviors and should be targets for future neighborhood change efforts and research.

Evaluating the Effective Physical Indicators of Built Environment on Promotion of Sustainable Transportation: The Case of Sanandaj City

2019 ◽  
Vol 52 (5) ◽  
pp. 774-799
Author(s):  
Farzin Charehjoo ◽  
Nassim Hoorijani
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Built Environment ◽  
Public Transportation ◽  
Critical Role ◽  
Physical Activities ◽  
Sustainable Transportation ◽  
Neighborhood Design ◽  
Statistical Population ◽  
The Impact

The main goal of this research is to evaluate the relationship between the built environment and public health of citizens in four different buffers of Sanandaj, Kurdistan province, Iran. There is a growing body of evidence that links the neighborhood design to public health and argues that the built environment impacts on the public health of people through the weakening or strengthening of sustainable transportation (walking, cycling, and public transportation) and physical activity. Regular physical activity has a significant impact on the health of individuals, and this can be the best way to cope with several diseases. The statistical population of this study includes people between the age of 18 and 65 years in Sanandaj city. The method used to investigate the normality of dependent variables is the Kolmogorov–Smirnov test; the assessment of the resident’s difference of physical activities is conducted through one-way variance; the impact of the built environment on physical activities is assessed through a multivariate regression test, and the effect of physical activity on the health of the individuals is evaluated through a correlation test. This study, by explaining the characteristics of the built environment in four different buffers, has exhibited that the environment supporting physical activity of pedestrians plays a critical role in increasing the amount of physical activity they engage in.

scholarly journals Use of social media, search queries, and demographic data to assess obesity prevalence in the United States

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Nina Cesare ◽  
Pallavi Dwivedi ◽  
Quynh C. Nguyen ◽  
Elaine O. Nsoesie
Keyword(s):  
Physical Activity ◽  
Social Media ◽  
Built Environment ◽  
Demographic Data ◽  
The United States ◽  
Obesity Prevalence ◽  
Male And Female ◽  
Search Queries ◽  
Environment Variables ◽  
Google Search

Abstract Obesity is a global epidemic affecting millions. Implementation of interventions to curb obesity rates requires timely surveillance. In this study, we estimated sex-specific obesity prevalence using social media, search queries, demographics and built environment variables. We collected 3,817,125 and 1,382,284 geolocated tweets on food and exercise respectively, from Twitter’s streaming API from April 2015 to March 2016. We also obtained searches related to physical activity and diet from Google Search Trends for the same time period. Next, we inferred the gender of Twitter users using machine learning methods and applied mixed-effects state-level linear regression models to estimate obesity prevalence. We observed differences in discussions of physical activity and foods, with males reporting higher intensity physical activities and lower caloric foods across 40 and 48 states, respectively. In addition, counties with the highest percentage of exercise and food tweets had lower male and female obesity prevalence. Lastly, our models separately captured overall male and female spatial trends in obesity prevalence. The average correlation between actual and estimated obesity prevalence was 0.797(95% CI, 0.796, 0.798) and 0.830 (95% CI, 0.830, 0.831) for males and females, respectively. Social media can provide timely community-level data on health information seeking and changes in behaviors, sentiments and norms. Social media data can also be combined with other data types such as, demographics, built environment variables, diet and physical activity indicators from other digital sources (e.g., mobile applications and wearables) to monitor health behaviors at different geographic scales, and to supplement delayed estimates from traditional surveillance systems.

scholarly journals Influence of the built environment of Nanjing’s Urban Community on the leisure physical activity of the elderly: an empirical study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhi-jian Wu ◽  
Yanliqing Song ◽  
Hou-lei Wang ◽  
Fan Zhang ◽  
Fang-hui Li ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Built Environment ◽  
Low Income ◽  
Leisure Time Physical Activity ◽  
The Elderly ◽  
Linear Regression Method ◽  
Street Connectivity ◽  
Recreational Physical Activity ◽  
The Impact

Abstract Background Urbanization and aging are global phenomena that offer unique challenges in different countries. A supportive environment plays an important role in addressing the issues of health behavioral change and health promotion (e.g., prevent chronic illnesses, promote mental health) among older adults. With the development of the socio-ecological theoretical model, studies on the impact of supportive environments on physical activity have become popular in the public health field in the EU and US. Meanwhile, very few Chinese studies have examined the relationship between built environment features and older adults’ physical activity at the ecological level. The purpose of the study is to investigate how the factors part of the built environment of Nanjing’s communities also influence leisure time physical activity among the elderly. Methods Using a socio-ecological model as a theoretical framework, we conducted a cross-sectional study of 399 elderly people from 19 communities in Nanjing, China, using a one-on-one questionnaire to collect data, including participants’ perceived built environment and self-reported physical activity. A multivariate linear regression method was used to analyze the factors influencing their recreational physical activity. Results This study found that compared to older people with low average monthly income, the recreational physical activity of the elderly with average monthly incomes between 1001 and 2000 ¥ (β = 23.31, p < 0.001) and 2001 ¥ or more (β = 21.15, p < 0.001) are significantly higher. After controlling for individual covariates, street connectivity (β = 7.34, p = 0.030) and street pavement slope (β = − 7.72, p = 0.020), we found that two out of ten built environment factors indicators influence their physical activity. The importance of each influencing factor ranked from highest to lowest are monthly average income, street pavement slope, and street connectivity. Other factors were not significantly related to recreational physical activity by the elderly. Conclusions Older adults with a high income were more likely to participate in recreational physical activity than those with a low income. In order to positively impact physical activity in older adults and ultimately improve health, policymakers and urban planners need to ensure that street connectivity and street pavement slope are factored into the design and development of the urban environment.

scholarly journals Study on the Impact of the Objective Characteristics and Subjective Perception of the Built Environment on Residents’ Physical Activities in Fuzhou, China

2019 ◽  
Vol 12 (1) ◽  
pp. 329 ◽  
Author(s):  
Lizhen Zhao ◽  
Zhenjiang Shen ◽  
Yanji Zhang ◽  
Fubin Sheng
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Vigorous Physical Activity ◽  
Structural Equations ◽  
Subjective Perception ◽  
Direct Impact ◽  
Negative Effects ◽  
General Physical ◽  
The Impact ◽  
The Relationship

Many researchers have confirmed a correlation between the built environment and physical activity. However, most studies are based on the objective characteristics of the built environment, and seldom involve the residents’ subjective perception. The purpose of this study is to explore the relationship between the subjective and objective characteristics of the built environment and physical activity at the community scale. Data consists of that collected from a social survey, Points of Interest (POI), the road network, and land use in Fuzhou, China. The duration of moderate-to-vigorous physical activity (MVPA) within a week is used to represent the general physical activity of residents. Security perception is introduced as an intermediary variable. SPSS software is used for factor analysis and Amos software for statistical analysis. Structural equations are set up to analyse the relationship between these variables. The final results show that: (1) The objective characteristics of the built environment have no direct impact on the development of leisure MVPA, but it can indirectly affect leisure MVPA through residents’ subjective perception of the built environment; (2) The subjective perception of residents has a significant impact on the duration of MVPA, the subjective perception of humanized space has a direct impact on the duration of MVPA, and destination accessibility and urban environment maintenance has an indirect impact through community public security perception; and (3) The individuals’ attributes such as gender and self-evaluated socioeconomic status have negative effects on the duration of leisure MVPA, and an individual’s love of sports has a positive effect on MVPA.

Young Children’s Intuitive Interest in Physical Activity: Personal, School, and Home Factors

2005 ◽  
Vol 2 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Ang Chen ◽  
Weimo Zhu
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
Home Environment ◽  
Department Of Education ◽  
Teacher Experiences ◽  
Physically Active ◽  
Personal Variables ◽  
Environment Variables ◽  
Log Linear ◽  
The Impact

Background:A physically active or inactive lifestyle begins with intuitive interest at a very young age. This study examined the impact of selected personal, school, and home variables on young children’s intuitive interests in physical and sedentary activities.Methods:National data from the Early Childhood Longitudinal Study (US Department of Education) were examined using Cohen’s d, hierarchical log-linear analyses, and logistic regression.Results:Children’s interest in physical activity is accounted for fractionally by personal variables, but substantially by school and home variables including number of physical education classes per week, teacher experiences of teaching PE, and neighborhood safety.Conclusion:School and home environment variables have stronger impact than personal variables on children’s intuitive interest in physical activity. Future interventions should focus on strengthening school physical education and providing a safe home environment to help nurture young children’s intuitive interest in physical activity.

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