Observing physical activity in suburbs

This study examined the reliability of the block walk method (BWM) for observing physical activity on suburban sidewalks/streets. Trained observers simultaneously walked 40 sidewalk/street segments each 1525 m in length at a pace of 30.5 m/min while recording the number of individuals walking/bicycling/jogging and the address where the activity occurred. An activity was observed at 2.9% of the 1020 addresses walked passed. In all 41 individuals were seen walking, 4 jogging, and 3 bicycling during 400 observation minutes. Agreements were 80%, 90%, and 86.7% for address, activity type, and number of individuals. The BWM is reliable for assessing activity on suburban sidewalks/streets.     

Characteristics of Urban Sidewalks/Streets and Objectively Measured Physical Activity

Several studies have found significant relationships between environmental characteristics (e.g., number of destinations, aesthetics) and physical activity. While a few of these studies verified that the physical activities assessed were performed in the environments examined, none have done this in an urban, neighborhood setting. This information will help efforts to inform policy decisions regarding the design of more “physically active” communities. Fourteen environmental characteristics of 60, 305-m-long segments, located in an urban, residential setting, were directly measured using standardized procedures. The number of individuals walking, jogging, and biking in the segments was assessed using an observation technique. The segments were heterogeneous with regards to several of the environmental characteristics. A total of 473 individuals were seen walking, bicycling, or jogging in the segments during 3,600 min of observation (60 min/segment). Of the 473 seen, 315 were walking, 116 bicycling, and 42 jogging. A greater number of individuals were seen walking in segments with more traffic, sidewalk defects, graffiti, and litter and less desirable property aesthetics. Only one environmental characteristic was associated with bicycling and none were significantly related with jogging. This study provides further evidence that environmental characteristics and walking are related. It also adds new information regarding the importance of scale (e.g., micro, macro) and how some environmental characteristics of urban, residential sidewalks and streets relate to physical activity. Suminski and Hyder are with the Department of Physiology, Kansas City University of Medicine and Biosciences, Kansas, MO, USA; Heinrich is with the Department of Public Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA; Poston is with the Department of Basic Medical Sciences, University of Missouri-Kansas City School of Medicine, Kansas, MO, USA; Pyle is with the Department of Family Medicine, Kansas City University of Medicine and Biosciences, Kansas, MO, USA.     

Urban area disadvantage and physical activity: a multilevel study in Melbourne, Australia

OBJECTIVE: To estimate variation between small areas in the levels of walking, cycling, jogging, and swimming and overall physical activity and the importance of area level socioeconomic disadvantage in predicting physical activity participation. METHODS: All census collector districts (CCDs) in the 20 innermost local government areas in metropolitan Melbourne, Australia, were identified and ranked by the percentage of low income households (<400 dollars/week) living in the CCD. Fifty CCDs were randomly selected from the least, middle, and most disadvantaged septiles of the ranked CCDs and 2349 residents (58.7% participation rate) participated in a cross sectional postal survey about physical activity. Multilevel logistic regression (adjusted for extrabinomial variation) was used to estimate area level variation in walking, cycling, jogging, and swimming and in overall physical activity participation, and the importance of area level socioeconomic disadvantage in predicting physical activity participation. RESULTS: There were significant variations between CCDs in all activities and in overall physical participation in age and sex adjusted models; however, after adjustment for individual SES (income, occupation, education) and area level socioeconomic disadvantage, significant differences remained only for walking (p = 0.004), cycling (p = 0.003), and swimming (p = 0.024). Living in the most socioeconomically disadvantaged areas was associated with a decreased likelihood of jogging and of having overall physical activity levels that were sufficiently active for health; these effects remained after adjustment for individual socioeconomic status (sufficiently active: OR 0.70, 95% CI 0.55 to 0.90 and jogging: OR = 0.69, 95% CI 0.51 to 0.94). CONCLUSION: These research findings support the need to focus on improving local environments to increase physical activity participation.     

中国南方中青年体力活动能量消耗研究

目的研究中国南方中青年常见体力活动的能量消耗。方法通过问卷调查和体格检查筛选出轻体力活动健康中青年64名,采用k4b2便携式心肺功能测定仪测量其基础代谢和七项体力活动(慢走、快走、慢跑、骑自行车、上下楼梯和看电视)的耗氧量(VO2)和二氧化碳生成量(VCO2),用微量凯式定氮法测量24小时尿氮,利用Weir公式计算其能量消耗量。结果各项体力活动平均能量消耗量(kJ·h-1·kg-1)分别为:慢走14.77±2.47,快走22.18±3.68,慢跑41.34±7.32,骑自行车18.41±3.89,上楼梯26.11±4.18,下楼梯13.68±2.89,看电视5.06±1.09;男性各项体力活动能量消耗量均高于女性(P<0.05)。结论体力活动能量消耗差异较大,看电视为低强度体力活动,骑自行车、上下楼、慢走及快走为中强度体力活动,慢跑为高强度体力活动。     

Correlates of physical activity among African American and white women

Objective: To compare potential correlates of physical activity between African American and white women. Methods: A random-digit-dialed telephone survey was conducted in central South Carolina. Bivariate and multivariate analyses focused on women aged 18+ (N = 1176). Results: African American women reported greater maintenance of sidewalks and public parks than did white women, who reported higher physical activity, exercise self-efficacy, access to indoor walking facilities, and knowledge of mapped-out walking routes. Exercise self-efficacy was the only significant correlate of physical activity among both African American and white women. Conclusions: Self-efficacy was a robust cross-sectional correlate of physical activity in women.     

Relationships among community characteristics and walking and bicycling for transportation or recreation

PURPOSE: Compare walking and bicycling for transportation and recreation with the percentage of the community devoted to parklands. METHODS: Behavioral Risk Factor Surveillance System (N = 206,992), Nationwide Personal Transportation Survey (N = 409,025), and Trust for Public Land (N = 55) data were used to estimate recreational walking and bicycling, utilitarian walking and bicycling, and parkland as a percentage of city acreage. Data were linked at the metropolitan statistical area or city level (N = 34). Pearson correlation coefficients were used to assess the associations among recreational and utilitarian walking and bicycling and parkland acreage. RESULTS: Utilitarian walking and bicycling and parkland acreage were significantly correlated (r = .62, p < .0001). No significant relationships were observed for leisure time walking or bicycling. DISCUSSION: Communities with more parks had significantly higher levels of walking and bicycling for transportation. Urban design features associated with leisure time physical activity might differ from those associated with transportation-related physical activity. Further studies are needed to articulate the relationships among community attributes and purposes of physical activity.     

Reliability and validity of two instruments designed to assess the walking and bicycling suitability of sidewalks and roads

PURPOSE: Public health professionals hypothesize that when community environments provide suitable walking and bicycling conditions, community members will be more active. Measurement indicators and assessment instruments are needed to evaluate suitability. This study determined the reliability and validity of two instruments to assess the suitability of sidewalks for walking and roads for bicycling. METHODS: Two data collectors used walking and bicycling suitability assessment instruments to collect data on 31 road segments. In addition, three transportation experts used a 7-point Likert response system to subjectively evaluate walking and bicycling conditions for the same segments. Intraclass correlations determined the reliability of each assessment instrument and the reliability of the Likert response system. Pearson correlations (research staff assessments with expert assessments) were calculated to determine the criterion-related validity of the suitability measures. RESULTS: Intercoder reliability (intraclass) correlations for the walking and bicycling assessment instruments were r = .79 and .90, respectively. Intercoder reliability of the experts' Likert response system was r = .73 for the walking form and r = .77 for the bicycling form. Criterion-related validity (Pearson) correlations for the walking and bicycling assessment instruments were r = .58 and .62, respectively. CONCLUSION: Although some variables have lower reliability and validity than is ideal, the walking and bicycling suitability assessment instruments appear promising as instruments for community members and professionals to systematically assess key aspects of the physical environment.     

Socioeconomic status differences in recreational physical activity levels and real and perceived access to a supportive physical environment

BACKGROUND: Spatial access to recreational facilities and perceptions of the neighborhood environment and physical activity levels were examined by the socioeconomic status of area of residence (SES). METHODS: A cross-sectional survey of adults (18-59 years) (n = 1,803) stratified by SES using a geographic-based index was conducted. RESULTS: Respondents in low SES areas had superior spatial access to many recreational facilities, but were less likely to use them compared with those living in high SES areas. They were more likely to perceive that they had access to sidewalks and shops, but also perceived that their neighborhood was busier with traffic, less attractive, and less supportive of walking. After adjustment, respondents living in low SES areas were 36% less likely to undertake vigorous activity. While they were more likely to walk for transport, this was not statistically significant (OR, 1.27; 95% CI, 0.98-1.64), nor were other SES differences in walking for recreation and walking as recommended. Modifiable environmental factors were associated with walking and vigorous activity, especially perceived access to sidewalks and neighborhood attractiveness. Spatial access to attractive, public open space was associated with walking. CONCLUSIONS: Creating supportive environments--particularly sidewalks in attractive neighborhoods--has the potential to increase walking and vigorous activity.     

Environmental and lifestyle factors associated with overweight and obesity in Perth,Australia

PURPOSE: To examine associations between environmental and lifestyle factors and overweight or obesity. DESIGN: A cross-sectional survey and an environmental scan of recreational facilities. SETTING: Metropolitan Perth, Western Australia. SUBJECTS: Healthy sedentary workers and homemakers aged 18 to 59 years (n = 1803) living in areas within the top and bottom quintiles of social disadvantage. MEASURES: Four lifestyle factors, one social environmental factor, and five physical environment factors (three objectively measured). RESULTS: After adjustment for demographic factors and other variables in the model, overweight was associated with living on a highway (odds ratio [OR], 4.24; 95% confidence interval [CI], 1.62-11.09) or streets with no sidewalks or sidewalks on one side only (OR, 1.35; 95% CI, 1.03-1.78) and perceiving no paths within walking distance (OR, 1.42; 95% CI, 1.08-1.86). Poor access to four or more recreational facilities (OR, 1.68; 95% CI, 1.11-2.55) and sidewalks (OR, 1.62; 95% CI, .98-2.68) and perceiving no shop within walking distance (OR, 1.84; 95% CI, 1.01-3.36) were associated with obesity. Conversely, access to a motor vehicle all the time was negatively associated with obesity (OR, .56; 95% CI, .32-.99). Watching 3 or more hours of television daily (ORs, 1.92 and 1.85, respectively) and rating oneself as less active than others (ORs, 1.66 and 4.05, respectively) were associated with both overweight and obesity. After adjustment for individual demographic factors and all other variables in the model, socioeconomic status of area of residence and leisure-time physical activity were not associated with overweight or obesity. CONCLUSION: Factors that influence overweight and obesity appear to differ, but aspects of the physical environment may be important. Objectively measured neighborhood environment factors warrant further investigation.     

Wheeling Walks: a community campaign using paid media to encourage walking among sedentary older adults

BACKGROUND: Mass media may effect communitywide changes in health awareness, attitude, and behavior, but the approach remains unproven for physical activity. METHODS: Wheeling Walks promoted walking among sedentary 50- to 65-year-old adults in a West Virginia city of 31,420 people. This quasi-experimental communication intervention used theory of planned behavior and transtheoretical model constructs to change behavior by promoting 30 min of daily walking through paid media, public relations, and public health activities. Impact was determined by pre- and postintervention telephone surveys with 719 adults in the intervention community and 753 adults in the comparison community and observations of walkers at 10 community sites. RESULTS: Behavior observation showed a 23% increase in the number of walkers in the intervention community versus no change in the comparison community (OR = 1.31, 95% CI = 1.14-1.50). Thirty-two percent (32.2) of the baseline sedentary population in the intervention community reported meeting the CDC/ACSM/Surgeon General recommendation for moderate-intensity physical activity by walking at least 30 min at least five times per week versus 18.0% in the comparison community (OR = 2.12, 95% CI = 1.41-2.24). The intervention community also realized a pre to post increase in positive stage change (P < 0.001). CONCLUSIONS: This theory-based mass media campaign demonstrated increases in those meeting the recommended standard for moderate-intensity physical activity through walking and significant positive stage change.     

Association between neighborhood walkability and GPS-measured walking,bicycling and vehicle time in adolescents

ObjectivesTo investigate relations of walking, bicycling and vehicle time to neighborhood walkability and total physical activity in youth.MethodsParticipants (N=690) were from 380 census block groups of high/low walkability and income in two US regions. Home neighborhood residential density, intersection density, retail density, entertainment density and walkability were derived using GIS. Minutes/day of walking, bicycling and vehicle time were derived from processing algorithms applied to GPS. Accelerometers estimated total daily moderate-to-vigorous physical activity (MVPA). Models were adjusted for nesting of days (N=2987) within participants within block groups.ResultsWalking occurred on 33%, active travel on 43%, and vehicle time on 91% of the days observed. Intersection density and neighborhood walkability were positively related to walking and bicycling and negatively related to vehicle time. Residential density was positively related to walking.ConclusionsIncreasing walking in youth could be effective in increasing total physical activity. Built environment findings suggest potential for increasing walking in youth through improving neighborhood walkability.     

The prevalence of selected physical activities and their relation with coronary heart disease risk factors in elderly men: the Zutphen Study, 1985

Physical activity patterns and their relation with coronary heart disease risk factors are described for a representative sample of 863 Dutch men, 65-84 years old, who participated in the 1985 survey of the Zutphen cohort of the Seven Countries Study. Cross-sectional results revealed a median total of reported physical activity of about 1 hour and 20 minutes per day; only 5.8% reported no physical activity. The percentage of participation and total weekly time spent in physical activity decreased as age increased; the decrease was less pronounced for walking, bicycling, gardening, and doing odd jobs than for sports, hobbies, and work. Statistically significant mean differences were found among quartiles of total weekly physical activity for both total cholesterol and high-density lipoprotein cholesterol (HDL cholesterol); however, only the differences for HDL cholesterol remained significant (p = 0.045) after adjusting for potential confounders. Statistically significant regression coefficients (p less than 0.05) were found for the independent association between walking and total cholesterol and between gardening and total cholesterol, HDL cholesterol, and systolic blood pressure, after adjusting for confounders. Total weekly physical activity and specific activities, e.g., gardening and walking, demonstrated generally favorable associations with cholesterol and systolic blood pressure.     

Features of the neighborhood environment and walking by U.S. adults

BACKGROUND: Manipulating the physical environment may be an efficacious way to promote physical activity. This study examined the relationships between features of the neighborhood environment and walking in the neighborhood by U.S. adults. METHODS: A random sample of women (n =266) and men (n =208) aged >18 years participated. Door-to-door interviews were conducted in 2003 to collect information about demographics, walking behavior, and features of the neighborhood environment. RESULTS: The analyses conducted in 2004 revealed that women were more likely to walk for exercise (odds ratio [OR]=4.6, 95% confidence interval [CI]=1.01-20.72) or walk a dog (OR=3.3, 95% CI=1.01-11.08) in the neighborhood if neighborhood safety was average as opposed to below average (p <0.05). Women with an average number of neighborhood destinations were more likely to walk for transportation in the neighborhood (OR=5.7, 95% CI=1.63-19.73) than women with a below average number of neighborhood destinations (p <0.01). In men, none of the neighborhood features were significantly associated with walking for exercise or walking a dog. Men were less likely to walk for transportation in the neighborhood if the functional (OR=0.22, 95% CI=0.06-0.89) or aesthetic (OR=0.17, 95% CI=0.03-0.89) features of the neighborhood were average versus below average. CONCLUSIONS: Prospective studies are needed to determine if changes in neighborhood safety and awareness of neighborhood destinations promote increases in walking by women. Evaluations of the relationships between other environmental features and walking behavior in men are warranted.     

Environmental and Social Determinants of Youth Physical Activity Intensity Levels at Neighborhood Parks in Las Vegas,NV

Parks can play an important role in youth activity. This study used observational data to evaluate the relationship of environmental and social determinants to youth physical activity intensity levels in Las Vegas neighborhood parks. System for observing play and leisure activity in youth was used to code activity levels as sedentary, walking, or vigorous in five low-income and five high-income parks. Environmental determinants included amenities, incivilities, size, high-speed streets, sidewalk condition, and temperature. Social determinants included percent minority and Hispanic, gender, and income. A multinomial logistic regression model was performed. We observed 1,421 youth, 59 % male, 41 % female; 21 % were sedentary, 38 % walking, and 41 % vigorous. Males were more likely to be observed walking (OR 1.42) and vigorous (OR 2.21) when compared to sedentary. High-speed streets (OR 0.76), sidewalks condition (OR 0.34), and low-income neighborhoods (OR 0.07) was associated with decreased odds of vigorous activity; incivilities (OR 1.34) and amenities (OR 1.27) were associated with greater odds of being vigorous. Environmental and social determinants are associated with physical activity intensity levels at parks. Stakeholders should ensure quality parks, as they relate to physical activity levels in youth. Understanding environmental and social determinants that influence physical activity at parks is critical to utilizing their full potential in an effort to combat childhood obesity.     

Perceived environments as physical activity correlates and moderators of intervention in five studies

PURPOSE: Few studies have explored how relationships of perceived environment and physical activity vary across different activity domains and populations. This question was explored in five physical activity intervention trials funded by the National Institutes of Health Behavior Change Consortium. DESIGN: Observational. SETTINGS: San Francisco peninsula, California (N = 94); Eugene, Oregon (N = 122); Atlanta, Georgia (N = 256); Kingston, Rhode Island (N = 109); Memphis, Tennessee (N = 64). SUBJECTS: Ethnically diverse community adults ages 18 to 85 years. MEASURES: The Neighborhood Environment Walkability Scale and CHAMPS physical activity questionnaire. Response rate among those invited to complete these measures was 90%. RESULTS: Cross-sectional pooled signal detection analysis indicated that people who reported living in neighborhoods with more attractive scenery and ease of walking were more likely to meet national physical activity recommendations (67%) compared with those without these neighborhood attributes (36%; chi2 = 13.04, p = .0003). Within-site multiple regression identified two additional variables--seeing others when walking and encountering loose dogs that make it difficult to walk--as correlates across multiple sites and activity domains (i.e., minutes of weekly moderate or more vigorous activity, walking for errands, walking leisurely) (incremental R2 = 2.0-7.5; p < .05). Analyses of covariance suggested that traffic safety might be particularly important in facilitating or impeding physical activity in response to a formal intervention (for traffic-arm assignment interactions, F = 3.8-7.0, p < or = .05). CONCLUSIONS: Relationships between perceived environments and physical activity may differ depending upon population groups and activity domains and merit investigation by using stronger prospective designs.     

A Method for Observing Physical Activity on Residential Sidewalks and Streets

Assessment of physical activity needs to improve in order to gain a more comprehensive understanding of the relationship between characteristics of the environment and physical activity. Our study evaluated a method [Block Walk Method (BWM)] for observing physical activity along residential sidewalks and streets. The BWM was utilized in 12 U.S. Census block groups over a three-month period. Examination transportation routes (ETRs), 1,524 m in length, were constructed and examined in each block group. On 6 days, ETRs were traversed by a trained observer for 50 min. Physical activities, street names, and geographical locations (e.g., addresses) were recorded. We found encouraging results for the BWM. The level of agreement between independent observers was >98% for activity type. The number of individuals seen walking, running, or biking did not differ significantly between the days of the week or observation times. The number of individuals observed was correlated with block group characteristics (e.g., percent walking/biking to work) and weather (e.g., temperature). The BWM is an easy to use, economically viable observational approach to obtaining reliable information concerning physical activities performed on residential streets and sidewalks. Its use could help advance our understanding about the environment–physical activity relationship.Suminski is with the School of Physical Activity and Educational Services, The Ohio State University, 155 Cunz Hall, Columbus, OH 43210, USA; Petosa and Stevens are with the School of Physical Activity and Educational Services, The Ohio State University, Columbus, OH 43026, USA.     

The relationship between convenience of destinations and walking levels in older women

PURPOSE: To examine the relationship between physical activity and (1) convenience of destinations, measured by whether destinations (such as a park, trail, businesses, and services) are within walking distance of the home, and (2) participants' perception of the quality of their neighborhood surroundings for walking, captured with a global neighborhood "walkability" rating. DESIGN: Cross-sectional analysis of data obtained in 1999. SETTING: Community in southwest Pennsylvania. SUBJECTS: Older Caucasian women (n = 149, mean age = 74.2 years). Response rate = 79%. MEASURES: Walking levels, leisure-time physical activity, and features of the neighborhood environment were measured with interviewer-administered questionnaires. Physical activity was also measured objectively with a pedometer. RESULTS: Living within walking distance (defined as within a 20-minute walk of home) of a park; biking or walking trail; or department, discount, or hardware store was related to higher pedometer readings (p < .01). In addition, there was a positive trend between the sum of destinations within walking distance of home and activity levels measured by pedometer and questionnaire (p < .01). There was also a positive trend between participants' neighborhood "walkability" rating and activity levels measured by pedometer and questionnaire (p < .01). CONCLUSION: These findings suggest that the ability to make utilitarian walking trips from home and the perception of having favorable neighborhood surroundings for walking are associated with increased physical activity levels in older women.     

School administrators' perceptions of factors that influence children's active travel to school

BACKGROUND: Increasing children's active travel to school may be 1 strategy for addressing the growing prevalence of obesity among school age children. Using the School Travel Survey, we examined South Carolina school district leaders' perceptions of factors that influence elementary and middle school students walking to school. METHODS: Frequency distributions and chi‐square tests were used to analyze the survey responses; open‐ended questions were reviewed qualitatively for recurring topics and themes. RESULTS: School and district leaders (N = 314) most often reported street crossing safety (54.0%) and number of sidewalks (54.0%) as priority factors that should be addressed to increase students' active travel to school, followed by distance to school (46.0%), traffic volume (42.4%), parental attitudes (27.0%), traffic speed (26.7%), neighborhood condition (24.4%), and student attitudes (10.0%). Several respondents expressed concerns about liability issues related to students' active travel to school while others reported that schools are not responsible for students' safety once students leave school grounds. Independent of their comments about liability, respondents were concerned about the safety of students while walking to school. CONCLUSIONS: Those promoting active travel to school may benefit from addressing those factors perceived as most important by school and district leaders, including street crossing safety, number of sidewalks, and by educating school and district leaders about liability and safety issues related to students walking to school.     

Predictors of change in physical activity during and after pregnancy: Project Viva

BACKGROUND: Few studies document longitudinal changes in physical activity from prepregnancy to the postpartum period. METHODS: This study estimated change in self-reported leisure-time physical activity in 1442 women before pregnancy, during the second trimester, and at 6 months postpartum. In addition, it also examined predictors of becoming insufficiently active during or after pregnancy. RESULTS: The mean (SD) age was 32.5 (4.5) years, 34% of the women were overweight or obese prepregnancy (body mass index equal to or greater than 25 kg/m(2)), and 76% were white. Before pregnancy, the mean total leisure physical activity was 9.6 hours per week. The reported decrease in total activity between prepregnancy and 6 months postpartum was -1.4 (95% CI=-1.0 to -1.9) hours per week, accounted for by decreases in moderate and vigorous physical activity but not walking. Prevalence of insufficiently active lifestyle (less than 150 minutes per week of total activity) increased from 12.6% before pregnancy to 21.7% during the postpartum period. The OR for becoming insufficiently active during pregnancy was 1.58 (95% CI=1.07-2.32) in women with at least one child compared with no children. Predictors of becoming insufficiently active postpartum included postpartum weight retention (OR=1.31; 95% CI=1.05-1.58 for each 5-kg increment); working longer hours in the first trimester (e.g., OR=5.12; 95% CI=1.96-13.4 for 45+ vs 0 hours); and reporting that lack of child care was a barrier to physical activity (OR=1.73; 95% CI=0.99-3.02). CONCLUSIONS: Women reported decreases in moderate and vigorous physical activity during pregnancy that persisted at 6 months postpartum. Levels of walking did not decline. Children in the home, longer work hours, and lack of child care were predictors of becoming insufficiently active during or after pregnancy.     

Policies and opportunities for physical activity in middle school environments

BACKGROUND: This study examined physical activity opportunities and barriers at 36 geographically diverse middle schools participating in the Trial of Activity for Adolescent Girls. METHODS: Principals, physical education and health education department heads, and program leaders were interviewed to assess policies and instructional practices that support physical activity. RESULTS: Schools provided approximately 110 hours per year in physical education instruction. Approximately 20% of students walked or bicycled to school. Eighty-three percent of schools offered interscholastic sports and 69% offered intramural sports. Most schools offered programs for girls, but on average, only 24 girls ( approximately 5%) in the schools attended any programs. Only 25% of schools allowed after school free play. An overall score created to assess school environmental support for physical activity indicated that, on average, schools met 6.7 items of 10 items. Free/reduced lunch program participation versus not (p = .04), perceived priority of physical education instruction over coaching (p = .02), and safety for walking/bicycling to school (p = .02) predicted environmental support score. CONCLUSIONS: Schools have policies and practices that support physical activity, although unfavorable practices exist. Schools must work with community partners and officials to provide environments that optimally support physical activity, especially schools that serve low-income students.