Brian E. Saelens
Seattle Children's Research Institute
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Featured researches published by Brian E. Saelens.
Annals of Behavioral Medicine | 2003
Brian E. Saelens; James F. Sallis; Lawrence D. Frank
Research in transportation, urban design, and planning has examined associations between physical environment variables and individuals’ walking and cycling for transport. Constructs, methods, and findings from these fields can be applied by physical activity and health researchers to improve understanding of environmental influences on physical activity. In this review, neighborhood environment characteristics proposed to be relevant to walking/cycling for transport are defined, including population density, connectivity, and land use mix. Neighborhood comparison and correlational studies with nonmotorized transport outcomes are considered, with evidence suggesting that residents from communities with higher density, greater connectivity, and more land use mix report higher rates of walking/cycling for utilitarian purposes than low-density, poorly connected, and single land use neighborhoods. Environmental variables appear to add to variance accounted for beyond sociodemographic predictors of walking/cycling for transport. Implications of the transportation literature for physical activity and related research are outlined. Future research directions are detailed for physical activity research to further examine the impact of neighborhood and other physical environment factors on physical activity and the potential interactive effects of psychosocial and environmental variables. The transportation, urban design, and planning literatures provide a valuable starting point for multidisciplinary research on environmental contributions to physical activity levels in the population.
Medicine and Science in Sports and Exercise | 2008
Brian E. Saelens; Susan Handy
INTRODUCTION The past decade has seen a dramatic increase in empirical investigation into the relations between built environment and physical activity. To create places that facilitate and encourage walking, practitioners need an understanding of the specific characteristics of the built environment that correlate most strongly with walking. This article reviews evidence on the built environment correlates with walking. METHOD Included in this review were 13 reviews published between 2002 and 2006 and 29 original studies published in 2005 and up through May 2006. Results were summarized based on specific characteristics of the built environment and transportation walking versus recreational walking. RESULTS Previous reviews and newer studies document consistent positive relations between walking for transportation and density, distance to nonresidential destinations, and land use mix; findings for route/network connectivity, parks and open space, and personal safety are more equivocal. Results regarding recreational walking were less clear. CONCLUSIONS More recent evidence supports the conclusions of prior reviews, and new studies address some of the limitations of earlier studies. Although prospective studies are needed, evidence on correlates appears sufficient to support policy changes.
Journal of The American Planning Association | 2006
Lawrence D. Frank; James F. Sallis; Terry L. Conway; James E. Chapman; Brian E. Saelens; William Bachman
Abstract The literature shows single-use, low-density land development and disconnected street networks to be positively associated with auto dependence and negatively associated with walking and transit use. These factors in turn appear to affect health by influencing physical activity, obesity, and emissions of air pollutants. We evaluated the association between a single index of walkability that incorporated land use mix, street connectivity, net residential density, and retail floor area ratios, with health-related outcomes in King County, Washington. We found a 5% increase in walkability to be associated with a per capita 32.1% increase in time spent in physically active travel, a 0.23-point reduction in body mass index, 6.5% fewer vehicle miles traveled, 5.6% fewer grams of oxides of nitrogen (NOx) emitted, and 5.5% fewer grams of volatile organic compounds (VOC) emitted. These results connect development patterns with factors that affect several prevalent chronic diseases.
Pediatrics | 2007
Bonnie A. Spear; Sarah E. Barlow; Chris Ervin; David S. Ludwig; Brian E. Saelens; Karen E. Schetzina; Elsie M. Taveras
In this article, we review evidence about the treatment of obesity that may have applications in primary care, community, and tertiary care settings. We examine current information about eating behaviors, physical activity behaviors, and sedentary behaviors that may affect weight in children and adolescents. We also review studies of multidisciplinary behavior-based obesity treatment programs and information about more aggressive forms of treatment. The writing group has drawn from the available evidence to propose a comprehensive 4-step or staged-care approach for weight management that includes the following stages: (1) Prevention Plus; (2) structured weight management; (3) comprehensive multidisciplinary intervention; and (4) tertiary care intervention. We suggest that providers encourage healthy behaviors while using techniques to motivate patients and families, and interventions should be tailored to the individual child and family. Although more intense treatment stages will generally occur outside the typical office setting, offices can implement less intense intervention strategies. We not ony address specific patient behavior goals but also encourage practices to modify office systems to streamline office-based care and to prepare to coordinate with professionals and programs outside the office for more intensive interventions.
American Journal of Health Promotion | 2005
Karen Glanz; James F. Sallis; Brian E. Saelens; Lawrence D. Frank
The authors provide a conceptual model of a healthy nutrition environment, then review the types of measures required to assess various aspects of this environment. Measures fall into priority categories of consumer and community environments.
Circulation | 2012
James F. Sallis; Myron F. Floyd; Daniel A. Rodriguez; Brian E. Saelens
There is a growing consensus that large changes in population levels of physical activity and other behaviors required to improve cardiovascular health will require major modifications in environments and policies. Ecological models are the conceptual basis for comprehensive interventions that emphasize environmental and policy changes and that can have widespread and sustainable effects. These interventions are complemented with individual education and motivation and efforts to change social support and norms. Physical activity-specific ecological models indicate which environmental factors are expected to be related to physical activity in multiple life domains: Leisure/recreation/exercise, occupation (school for youth), transportation, and household. Over the past decade, a proliferation of interdisciplinary research has generally supported hypotheses derived from ecological models and identified specific built environment attributes and combinations of attributes that are related to physical activity, mainly for recreation and transportation purposes, and obesity. It is becoming clear that racial/ethnic minority and low-income communities are disadvantaged in access to recreation facilities, positive aesthetics, and protection from traffic. These results provide an empirical rationale for intervention. There are recent examples of environmental changes or community-wide multilevel interventions that had positive effects on physical activity or obesity. Continuing research needs are to improve the rigor of study designs, confirm subgroup- or context-specific built environment associations, identify optimal combinations of attributes, improve understanding of the policy change processes required to achieve environmental changes, and evaluate multilevel interventions. Both research teams and community-based initiatives are collaborating with a wide range of professionals and sectors of society, such as recreation, transportation, city planning, architecture, landscape architecture, geography, criminal justice, and law, in addition to health professionals and behavioral scientists. These diverse teams have stimulated innovations in research, new approaches to intervention, and improved connections with decision makers who can make environment and policy changes in nonhealth sectors of society. The practice of physical activity promotion, obesity prevention, and CVD risk reduction has changed to reflect the shift to multilevel interventions. Major foundations and public health agencies are implementing community-based interventions targeting environment and policy change. Continuing challenges for these community-wide interventions are to maintain support for the multisector, long-term efforts required to change environments, evaluate interventions so they become ever more evidence-based, and integrate explicit chronic disease prevention objectives into professional practices of diverse disciplines, government agencies, and industries whose primary work can affect physical activity and health. Among the largest initiatives was the Centers for Disease Control and Preventions Communities Putting Prevention to Work grant program, which awarded more than
Social Science & Medicine | 2009
James F. Sallis; Brian E. Saelens; Lawrence D. Frank; Terry L. Conway; Donald J. Slymen; Kelli L. Cain; James E. Chapman; Jacqueline Kerr
250 million in 2010 to change environments and policies to improve nutrition and physical activity and prevent obesity. Recommended strategies were based on MAPPS: Media, Access, Point of decision information, Price, and Social support/services. Strategies ranged from improving physical activity in school physical education (access) to subsidizing memberships to recreational facilities (price) to promoting safe routes to school (eg, social support/services). Experience with these initiatives, as well as systematic evaluations, will lead to a better understanding of how to accomplish policy and environmental change in diverse communities and provide important information about the impact of these changes. Language: en
American Journal of Health Promotion | 2003
Ilse De Bourdeaudhuij; James F. Sallis; Brian E. Saelens
There is growing interest in the relation of built environments to physical activity, obesity, and other health outcomes. The purpose of the present study was to test associations of neighborhood built environment and median income to multiple health outcomes and examine whether associations are similar for low- and high-income groups. This was a cross-sectional study of 32 neighborhoods in Seattle, WA and Baltimore, MD regions, stratified by income and walkability, and conducted between 2001 and 2005. Participants were adults aged 20-65years (n=2199; 26% ethnic minority). The main outcomes were daily minutes of moderate-to-vigorous physical activity (MVPA) from accelerometer monitoring, body mass index (BMI) based on self-report, and mental and physical quality of life (QoL) assessed with the SF-12. We found that MVPA was higher in high- vs. low-walkability neighborhoods but did not differ by neighborhood income. Overweight/obesity (BMI > or = 25) was lower in high-walkability neighborhoods. Physical QoL was higher in high-income neighborhoods but unrelated to walkability. Adjustment for neighborhood self-selection produced minor changes. We concluded that living in walkable neighborhoods was associated with more physical activity and lower overweight/obesity but not with other benefits. Lower- and higher-income groups benefited similarly from living in high-walkability neighborhoods. Adults in higher-income neighborhoods had lower BMI and higher physical QoL.
American Journal of Epidemiology | 2010
Matthew P. Buman; Eric B. Hekler; William L. Haskell; Leslie A. Pruitt; Terry L. Conway; Kelli L. Cain; James F. Sallis; Brian E. Saelens; Lawrence D. Frank; Abby C. King
Purpose. This study investigated the variance in sitting, walking, and moderate and vigorous physical activity explained by neighborhood design and recreational environmental variables above and beyond the variance accounted for by individual demographic variables. Design. Cross-sectional analyses of self-reported survey data. Setting. A random sample of inhabitants of Ghent, Belgium, aged 18–65 years, was drawn. Subjects. Five hundred twenty-one adults completed questionnaires (52.1% response rate). The average age of the sample was 41 years, and 48.2% were female. Measures. A questionnaire developed to assess neighborhood design and recreational environmental variables with a total of 81 items was administered. The environmental questionnaire showed acceptable to good reliability and acceptable validity. The previously validated International Physical Activity Questionnaire (IPAQ) was used to quantify physical activity in the past 7 days. Additional demographic information was also obtained. Results. Regression analyses showed that environmental variables were related to all types of physical activity in both sexes. However, the range of variance explained by the models including demographic and environmental variables was low, only 5% to 13%. Minutes of walking and of moderate-intensity activity were related to quality of sidewalks and accessibility of shopping and public transportation. Vigorous physical activity was related to presence of activity supplies in the home and number of convenient activity facilities outside the home. Conclusions. Both neighborhood design and recreational environment variables had small but significant associations with multiple types of physical activity in a sample of Belgian adults.
American Journal of Public Health | 2004
Ross C. Brownson; Jen Jen Chang; Amy A. Eyler; Barbara E. Ainsworth; Karen A. Kirtland; Brian E. Saelens; James F. Sallis
The extent to which light-intensity physical activity contributes to health in older adults is not well known. The authors examined associations between physical activity across the intensity spectrum (sedentary to vigorous) and health and well-being variables in older adults. Two 7-day assessments of accelerometry from 2005 to 2007 were collected 6 months apart in the observational Senior Neighborhood Quality of Life Study of adults aged >65 years in Baltimore, Maryland, and Seattle, Washington. Self-reported health and psychosocial variables (e.g., lower-extremity function, body weight, rated stress) were also collected. Physical activity based on existing accelerometer thresholds for moderate/vigorous, high-light, low-light, and sedentary categories were examined as correlates of physical health and psychosocial well-being in mixed-effects regression models. Participants (N = 862) were 75.4 (standard deviation, 6.8) years of age, 56% female, 71% white, and 58% overweight/obese. After adjustment for study covariates and time spent in moderate/vigorous physical activity and sedentary behavior, low-light and high-light physical activity were positively related to physical health (all P < 0.0001) and well-being (all P < 0.001). Additionally, replacing 30 minutes/day of sedentary time with equal amounts of low-light or high-light physical activity was associated with better physical health (all P < 0.0001). Objectively measured light-intensity physical activity is associated with physical health and well-being variables in older adults.