Investigating associations between physical activity-related neighborhood built environment features and child weight status to inform local practice

2021 ◽  
Vol 270 ◽  
pp. 113694
Author(s):  
Jordan A. Carlson ◽  
Robin P. Shook ◽  
Ann M. Davis ◽  
Amy Papa ◽  
Chelsea Steel ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Weight Status ◽  
Local Practice ◽  
Child Weight ◽  
Neighborhood Built Environment

scholarly journals Neighborhood built environment and socioeconomic status in relation to physical activity, sedentary behavior, and weight status of adolescents

2018 ◽  
Vol 110 ◽  
pp. 47-54 ◽  
Author(s):  
James F. Sallis ◽  
Terry L. Conway ◽  
Kelli L. Cain ◽  
Jordan A. Carlson ◽  
Lawrence D. Frank ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Built Environment ◽  
Sedentary Behavior ◽  
Weight Status ◽  
Neighborhood Built Environment

Associations of the Neighborhood Built Environment With Physical Activity Across Pregnancy

2021 ◽  
pp. 1-7
Author(s):  
Kiarri N. Kershaw ◽  
Derek J. Marsh ◽  
Emma G. Crenshaw ◽  
Rebecca B. McNeil ◽  
Victoria L. Pemberton ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Confidence Interval ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Cross Sectional ◽  
Relative Risks ◽  
Recreation Areas ◽  
General Populations ◽  
Neighborhood Built Environment

Background: Several features of the neighborhood built environment have been shown to promote leisure-time physical activity (PA) in the general population, but few studies have examined its impact on PA during pregnancy. Methods: Data were extracted from 8362 Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be cohort participants (2010–2013). Residential address information was linked to 3 built environment characteristics: number of gyms and recreation areas within a 3-km radius of residence and census block level walkability. Self-reported leisure-time PA was measured in each trimester and dichotomized as meeting PA guidelines or not. Relative risks for cross-sectional associations between neighborhood characteristics and meeting PA guidelines were estimated using Poisson regression. Results: More gyms and recreation areas were each associated with a greater chance of meeting PA guidelines in models adjusted for sociodemographic characteristics and preexisting conditions. Associations were strongest in the third trimester where each doubling in counts of gyms and recreation areas was associated with 10% (95% confidence interval, 1.07–1.13) and 8% (95% confidence interval, 1.03–1.12), respectively, greater likelihood of meeting PA guidelines. Associations were similar though weaker for walkability. Conclusions: Results from a large, multisite cohort suggest that these built environment characteristics have similar PA-promoting benefits in pregnant women as seen in more general populations.

scholarly journals Is the perceived neighborhood built environment associated with domain-specific physical activity in Latin American adults? An eight-country observational study

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Gerson Ferrari ◽  
◽  
André Oliveira Werneck ◽  
Danilo Rodrigues da Silva ◽  
Irina Kovalskys ◽  
...  
Keyword(s):  
Physical Activity ◽  
Land Use ◽  
Built Environment ◽  
Latin American ◽  
Leisure Time ◽  
Shopping Centers ◽  
Domain Specific ◽  
Land Use Mix ◽  
Neighborhood Built Environment ◽  
Latin American Countries

Abstract Background Characteristics of the neighborhood built environment are associated with physical activity (PA). However, few studies with representative samples have examined environmental correlates of domain-specific PA in Latin America. We examined the associations of the perceived neighborhood built environment with domain-specific PA in a large sample of adults from eight Latin American countries. Methods This study examined data from 8185 adults (aged 18–65 years) from eight Latin American countries. The Neighbourhood Environment Walkability Survey - Abbreviated (NEWS-A) scale was used to assess perceptions of land use mix–diversity, land use mix-access, street connectivity, walking/cycling facilities, aesthetics, safety from traffic, and safety from crime. Perceived proximity from home to public open spaces (metropolitan parks, playgrounds, public squares) and to shopping centers was also measured. Transport-related and leisure-time PA were assessed using the long form of the International Physical Activity Questionnaire. Both logistic and linear regression models were estimated on pooled data. Results Perceptions of higher land use mix-access (OR: 1.40; 95% CI: 1.22,1.61), the existence of many alternative routes in the neighbourhood (1.12; 1.04,1.20), slow speed of traffic (1.19; 1.03,1.35) and few drivers exceeding the speed limits (1.09; 1.03,1.15) were associated with greater odds of reporting at least 10 min/week of transport-related PA. Perceptions of higher levels of land use mix-diversity, better aesthetics and greater safety from crime, the presence of crosswalks and pedestrian signals, and greater proximity of shopping centers were associated with more min/week of transport-related PA. Perceptions of higher land use mix-diversity (1.12; 1.05,1.20), higher land use mix-access (1.27; 1.13,1.43), more walking/cycling facilities (1.18; 1.09,1.28), and better aesthetics (1.10; 1.02,1.18) were associated with greater odds of engaging in at least 10 min/week of leisure-time PA versus none. Perceptions of higher land use mix-diversity were associated with more min/week of leisure PA. Conclusions Different perceived neighborhood built environment characteristics were associated with domain-specific PA among adults from Latin America countries. Interventions designed to modify perceptions of the neighbourhood built environment might influence initiation or maintenance of domain-specific PA. Trial registration ClinicalTrials. Gov NCT02226627. Retrospectively registered on August 27, 2014.

scholarly journals Everyday Walking Among Older Adults and the Neighborhood Built Environment: A Comparison Between Two Cities in North America

2020 ◽  
Vol 8 ◽  
Author(s):  
Florian Herbolsheimer ◽  
Atiya Mahmood ◽  
Yvonne L. Michael ◽  
Habib Chaudhury
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Population Density ◽  
Built Environment ◽  
Healthy Aging ◽  
Cross Sectional ◽  
Walking Behavior ◽  
Metro Vancouver ◽  
Walkable Neighborhood ◽  
Neighborhood Built Environment

A walkable neighborhood becomes particularly important for older adults for whom physical activity and active transportation are critical for healthy aging-in-place. For many older adults, regular walking takes place in the neighborhood and is the primary mode of mobility. This study took place in eight neighborhoods in Metro Portland (USA) and Metro Vancouver (Canada), examining older adults' walking behavior and neighborhood built environmental features. Older adults reported walking for recreation and transport in a cross-sectional telephone survey. Information on physical activity was combined with audits of 355 street segments using the Senior Walking Environmental Audit Tool-Revised (SWEAT-R). Multi-level regression models examined the relationship between built environmental characteristics and walking for transport or recreation. Older adults [N = 434, mean age: 71.6 (SD = 8.1)] walked more for transport in high-density neighborhoods and in Metro Vancouver compared to Metro Portland (M = 12.8 vs. M = 2.2 min/day; p < 0.001). No relationship was found between population density and walking for recreation. Older adults spent more time walking for transport if pedestrian crossing were present (p = 0.037) and if parks or outdoor fitness amenities were available (p = 0.022). The immediate neighborhood built environment supports walking for transport in older adults. Comparing two similar metropolitan areas highlighted that high population density is necessary, yet not a sufficient condition for walking in the neighborhood.

scholarly journals Adults’ leisure-time physical activity and the neighborhood built environment: a contextual perspective

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Anna Kajosaari ◽  
Tiina E. Laatikainen
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Leisure Time Physical Activity ◽  
Personal Level ◽  
Neighborhood Built Environment ◽  
Objectively Measured ◽  
Sport Facilities ◽  
Context Free ◽  
Neighborhood Level ◽  
Indoor And Outdoor

Abstract Background Context-free outcome measures, such as overall leisure-time physical activity (LTPA), are habitually applied to study the neighborhood built environment correlates of physical activity. This cross sectional study identifies and empirically tests potential methodological limitations related to the use of context-free measures and discusses how these may help in the interpretation of inconsistent associations between participation in moderate-to-vigorous LTPA and objectively measured neighborhood-level built environment attributes. Methods We employ a public participation geographic information system (PPGIS), an advanced participatory mapping method, to study the spatial distribution of moderate-to-vigorous LTPA among adult urban Finnish residents (n 1322). Secondary sources of GIS land-use and sport facility data were used to disaggregate respondent-mapped LTPA by the behavioral context, such as indoor and outdoor sport facilities, green spaces, and other public open spaces. Associations between the use of the identified LTPA settings and a range of objectively measured neighborhood built environment attributes were studied with multilevel logistic regression models. Results Disaggregated by behavioral context, we observed varied and partly opposite built environment correlates for LTPA. The use of indoor and outdoor sport facilities showed no significant associations with their neighborhood availability, but were significantly associated with personal-level attributes. By contrast, participation in LTPA in green and built public open space shared significant associations with access to and availability of neighborhood green space that persisted after controlling for personal-level covariates. Moreover, neighborhood distances up to 1600 m poorly captured participation in moderate-to-vigorous LTPA, as, on average, 40% of visits were located further from home. However, we found the immediate home environment to be an important LTPA setting for the least active participants. Conclusions This study demonstrates that LTPA can be a highly heterogeneous measure regarding both the spatial distribution and the environmental correlates of behavioral contexts. The results show that context-free LTPA outcome measures yield inconsistent associations with built environment exposure variables, challenging the applicability of such measures in designing neighborhood-level built environment interventions.

scholarly journals Google Street View Derived Built Environment Indicators and Associations with State-Level Obesity, Physical Activity, and Chronic Disease Mortality in the United States

2020 ◽  
Vol 17 (10) ◽  
pp. 3659
Author(s):  
Lynn Phan ◽  
Weijun Yu ◽  
Jessica M. Keralis ◽  
Krishay Mukhija ◽  
Pallavi Dwivedi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Health Outcomes ◽  
State Level ◽  
Premature Mortality ◽  
The United States ◽  
Single Family ◽  
Google Street View ◽  
Street View ◽  
Neighborhood Built Environment

Previous studies have demonstrated that there is a high possibility that the presence of certain built environment characteristics can influence health outcomes, especially those related to obesity and physical activity. We examined the associations between select neighborhood built environment indicators (crosswalks, non-single family home buildings, single-lane roads, and visible wires), and health outcomes, including obesity, diabetes, cardiovascular disease, and premature mortality, at the state level. We utilized 31,247,167 images collected from Google Street View to create indicators for neighborhood built environment characteristics using deep learning techniques. Adjusted linear regression models were used to estimate the associations between aggregated built environment indicators and state-level health outcomes. Our results indicated that the presence of a crosswalk was associated with reductions in obesity and premature mortality. Visible wires were associated with increased obesity, decreased physical activity, and increases in premature mortality, diabetes mortality, and cardiovascular mortality (however, these results were not significant). Non-single family homes were associated with decreased diabetes and premature mortality, as well as increased physical activity and park and recreational access. Single-lane roads were associated with increased obesity and decreased park access. The findings of our study demonstrated that built environment features may be associated with a variety of adverse health outcomes.

Maternal Physical Activity During Pregnancy, Child Leisure-Time Activity, and Child Weight Status at 3 to 9 Years

2015 ◽  
Vol 12 (4) ◽  
pp. 506-514 ◽  
Author(s):  
Lanay M. Mudd ◽  
Jim M. Pivarnik ◽  
Karin A. Pfeiffer ◽  
Nigel Paneth ◽  
Hwan Chung ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Status ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Child Obesity ◽  
Health Study ◽  
Healthy Weight ◽  
Time Activity ◽  
Child Weight ◽  
Child Height

Background:We sought to evaluate the effects of maternal leisure-time physical activity (LTPA) during pregnancy and current child LTPA on child weight status.Methods:Women with term pregnancies in the Pregnancy Outcomes and Community Health Study (1998–2004) were followed-up. A race-stratified subset of participants (cohort A) received extensive follow-up efforts leading to better response rates (592/926 = 64%) and diversity. The remainder (Cohort B) had a lower response rate (418/1629 = 26%). Women reported child height, weight and LTPA at 3 to 9 years (inactive vs. active), and recalled pregnancy LTPA (inactive vs. active). A 4-category maternal/child LTPA variable was created (reference: active pregnancy + active child). Children were classified as healthy weight, overweight, or obese using age- and sex-specific Body Mass Index percentiles. Logistic regression was used to assess the odds of child obesity (reference: healthy weight).Results:In unadjusted analyses, pregnancy inactivity increased odds for obesity when the child was active (1.6 [95% CI, 1.0−2.6] in Cohort A; 2.1 [95% CI, 1.1−4.0] in Cohort B), and more so when the child was inactive (2.4 [95% CI, 1.2−4.9] in Cohort A; 3.0 [95% CI, 1.0−8.8] in Cohort B). Adjustment for covariates attenuated results to statistical nonsignificance but the direction of relations remained.Conclusions:Maternal inactivity during pregnancy may contribute to child obesity risk.

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