. For practitioners, the findings illustrate that journalists need to employ thematic framing—presenting all of the factors that occur surrounding the violence, rather than just describing the incident in an episodic manner. Theoretically, we used the social ecological model (SEM) to qualitatively
Jennifer A. Scarduzio, Christina S. Walker, Nicky Lewis, and Anthony M. Limperos
Katie M. Heinrich, Nancee N. Aki, Heidi Hansen-Smith, Mark Fenton, and Jay Maddock
Policy changes were needed to reshape the built environment for active transportation.
Using the social ecological model as a framework, the Healthy Hawaii Initiative worked with a contractor to develop a series of meetings, planning sessions, and workshops. Activities spanned 22 months between 2007 and 2009, and involved multiple stakeholders, including educational outreach for legislators and collaborative planning sessions with advocates.
Ultimately, with the help of the contractor to initiate the process, Complete Streets and Safe Routes to School (SRTS) legislation were introduced January 2009. Advocacy groups monitored bill progress, testified at hearings, and assisted in rewording the bills. The SRTS statute required the Department of Transportation (DOT) to administer the federal SRTS funds and the complete streets law tasked the state and county DOTs to adopt complete streets policies and review existing highway design standards and guidelines. Both bills were signed into law June 2009.
Focusing efforts at multiple levels of the social ecological model involving champions and key stakeholders led to the successful passage of legislation supporting active transportation. Tracking policy implementation and evaluation over time will help determine actual impact on active transportation behaviors across Hawaii.
Mikihiro Sato, James Du, and Yuhei Inoue
Although previous studies supported the health benefits of physical activity, these studies were limited to individual-level research designs. Building upon a social-ecological model, we examined the relationship between physical activity and community health—the health status of a defined group of people—while accounting for the potential endogeneity of physical activity to health.
We obtained U.S. county-level data from the 2012 Behavioral Risk Factor Surveillance System survey and the 2014 County Health Ranking Database. We first conducted an ordinary least squares (OLS) regression analysis to examine the relationship between the rate of physical activity and community health measured by the average perceived health score for each county. We then conducted a 2-stage least squares (2SLS) regression analysis to investigate this relationship after accounting for potential endogeneity.
Results from the OLS analysis indicated that the rate of physical activity was positively associated with community health. Results from the 2SLS analysis confirmed that the physical activity rate remained positively associated with community health.
In line with the social-ecological model, our findings provide the first evidence for the health benefits of county-level physical activity. Our results support extant research that has shown relationships between physical activity and individual-level, health-related outcomes.
Jeffrey P. Carpenter and Stephen Harvey
physical educators perceive in their uses of social media for professional purposes? and (b) What challenges do physical educators perceive in their uses of social media for professional purposes? Theoretical Framework A social ecological model was employed to frame the benefits and challenges educators
Paige Laxton, Freda Patterson, and Sean Healy
movement compared with their peers living with families or independently. The social–ecological model acknowledges that health behaviors, such as PA participation, are influenced by not only intrapersonal factors but also a wide variety of interpersonal, environmental, and organizational factors
NiCole R. Keith
includes macroenvironmental factors such as enhanced greenspace, sidewalk connectivity, and traffic calming measures contribute to increased physical activity participation. The social ecological model of physical activity is patterned after the social ecological model of health ( Bronfenbrenner, 1977
Basia Belza, Christina E. Miyawaki, Peg Allen, Diane K. King, David X. Marquez, Dina L. Jones, Sarah Janicek, Dori Rosenberg, and David R. Brown
perspectives, to encourage walking and why mid-life and older adults chose to walk in those locations. As a study-guiding framework, we used the social-ecological model ( McLeroy, Bibeau, Steckler, & Glanz, 1988 ). The social-ecological model considers the dynamic interplay between personal and environmental
Victoria S. Davila, David E. Conroy, and Margaret K. Danilovich
.K. Danilovich) then categorized and combined the initial codes to form overarching themes independently. Furthermore, we identified and classified key concepts from each overarching theme into subthemes together. We then applied the social–ecological model (SEM) ( McLeroy, Bibeau, Steckler, & Glanz, 1988
Jeanette M. Garcia, Sean Healy, and David Rice
The aim of this study was to use a social-ecological approach to examine the influence of individual, social, and environmental factors on moderate-to-vigorous physical activity (MVPA) and screen-time in a sample of 9-year-old children in Ireland.
The sample was 1509 boys and girls from the Growing Up in Ireland (GUI) national study. MVPA, screen time, and individual, social, and environmental variables were assessed via questionnaires completed by children, their parents, and their teachers. Multiple regression was used to identify factors that correlated with children’s MVPA and screen-time levels.
For boys, factors such as activity with friends (P < .0001) and popularity (P < .01) were associated with MVPA, while factors such as BMI (P < .01) and MVPA (P < .01) were associated with screen time. Similarly for girls, factors such as activity with friends (P < .0001) and sociability were associated with MVPA, however factors such as BMI (P < .05), and access to play space (P < .05) were more closely associated with screen time.
Social factors were more closely associated with MVPA, while individual factors were significantly correlated with screen time for both boys and girls. Correlates differed for boys and girls, suggesting that interventions should consider both the target population as well as the activity behavior.
Stephanie L. Silveira, Jessica F. Baird, and Robert W. Motl
SCT include person level through social and environmental factors and can be aligned and studied through ecological frameworks ( Winett, Williams, & Davy, 2009 ). Social ecological models (SEMs), in particular, provide a guide for conceptualizing the unique influences of macro