| Literature DB >> 33105592 |
Julian A Reed1, Rachel M Ballard2, Michael Hill3, David Berrigan4.
Abstract
The primary purpose of this paper is to identify and review studies evaluating the effectiveness of programs to increase access to trails and trails use (physical activity) among youth from under-resourced communities. Three additional goals include identifying: (1) Correlates of physical activity/trail use and features of transportation systems and/or built environment and land use destinations, that may inform and support the planning and implementation of programs to promote trail use among youth, (2) benefits associated with trail use, and (3) barriers to trail use. Under-resourced communities are defined as those lacking sufficient resources (i.e., under-funded).Entities:
Keywords: children and youth physical activity on trails; recreational trails; trail interventions
Year: 2020 PMID: 33105592 PMCID: PMC7659949 DOI: 10.3390/ijerph17217707
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Flowchart of inclusions/exclusions for articles selected for review.
Figure 2Publication date of the papers considered in this review.
Figure 3Distribution of studies considered in this review by study design.
Figure 4Countries/Continents on which the studies considered in this review were carried out. Reviews were categorized as not applicable (N/A).
Figure 5Measurement approaches used in the studies considered in this review were carried out. Reviews, policy statements and study design paper were categorized as not applicable (N/A).
Correlates of Physical Activity and Features of Transportation Systems (Routes) and/or Built Environment and Land-Use Destinations or Both Routes and Destinations that May Support Planning and Implementation of Programs to Increase Trail Use among Youth from Under-Resourced Communities.
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| Pathways | [ | 1999–2011 | Review | Pathways for bicycles and walking were more likely to promote regular physical activity in children. |
| Physical activity | ||||
| Trail | [ | 1989–2004 | Review | Having “highly walkable” neighborhoods were more likely to encourage people to walk for transportation. For people who reported using the trail in this study, over half of them increased their average amount of walking. |
| Trails | [ | 2001 | RDD Telephone Survey (Perceptions of Environmental Support Questionnaire); GIS; BRFSS Physical Activity module | Participating in more physical activity/walking was found to be associated with lower BMI levels. The availability of trails was associated with twice the odds of being overweight as opposed to obese for users that do not meet the national physical activity recommendations. |
| BMI | ||||
| Development of a New Trail | [ | 2008–2011 | Intercept survey | A majority of the participants traveled to the trail using active transportation (69.7%), and the typical user was found to less likely to be a college graduate. Overall, 89.7% of participants reported using the trail for recreational activities. |
| Active travel to trail for recreational activities | ||||
| Trail use | [ | 2006–2009 | Intercept survey | Younger adults, men, White, and those with some graduate school education were more likely to perform physical activity on the trail. Higher PA was also associated with usage in cooler months, travelling to the trail in a motorized vehicle, and going with others. |
| Trail users; Physical activity | ||||
| Trail-proximity | [ | 1980–2008 | Review | The further a trail was from a participant’s home, the less frequently it was used. Education and income were both positively associated with trail use. |
| Trail use | ||||
| Paved streets | [ | 1993–2012 | GENEActiv accelerometers. | When observing which factors influenced the physical activity levels of Brazilian children, it was found that paved streets, bicycling lanes, and proper street lighting were important features that increased the frequency of activity. |
| Physical activity | ||||
| Roads | [ | 2007–2013 | Review | Roads and street conditions are important indicators of active transportation and physical activity in youth. |
| Physical activity; Active transportation | ||||
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| Parks | [ | 2004–2008 | SOPARC | 45 parks in a Southeastern community were evaluated to identify the activity settings used by boys and girls. There were fewer girls observed in the parks than boys, but the most commonly used structure by both genders was playgrounds. Playing fields were popular among both, but more frequently visited by boys. This setting was associated with greater vigorous physical activity. Observations of seven of eight activity settings in the 45 parks indicated a greater frequency and percentage of white youth observed in comparison to minorities. |
| MVPA | ||||
| Neighborhood Features | [ | 2006 | GIS; Actigraph accelerometer | Girls were more likely to participate in physical activity when there were a higher number of recreational facilities and parks in the surrounding environment. Boys’ physical activity was shown to increase with the ratio of retail floor area. |
| MVPA | ||||
| Greenspace | [ | 2014 | Kid-KINDL questionnaire | More access to greenspace and having fewer siblings were associated with better health and quality of life among children. This availability of greenspace was also linked to greater self-esteem. |
| Health and Quality of Life; Self-esteem | ||||
| Destinations: | [ | 2000–2009 | Review | Diverse housing types, mixed land use, housing density, compact development patterns, and levels of open space were the five factors that affected the amount of physical activity seen in an environment. Factors such as the proper planning of built environment features are essential to promoting physical activity. |
| Physical activity | ||||
| Park playground-proximity | [ | 2006 | GIS; Environmental Assessment for Public Recreation Spaces (EAPRS) | Having a park playground within 1 km of the home significantly decreased a child’s odds of being at risk or overweight. These children were five times more likely to be a healthy weight than children who did not have a playground in the nearby park. |
| Healthy weight / Overweight | ||||
| Greenways | [ | 2017 | Adapted Safe Routes to School survey | Greenways make it easier for students to participate in active transportation via walking or cycling due to the improved infrastructure conditions. |
| Active transportation | ||||
| Home | [ | 2012 | Accelerometers | This study evaluated the MVPA of rural, urban, and suburban students. Rural students were more likely to get most of their MVPA at school, but were three times less likely to partake in this activity than urban students. For both urban and suburban students, active commuting made up a large percentage of their average MVPA. MVPA among youth occurs at locations other than home, school, or through active transportation. Green spaces, including parks, wooded areas, and vacant land are also locations where youth attained |
| MVPA. | ||||
| Parks | [ | 1994–1995 | Data from Wave I of National Longitudinal Study of Adolescent Health; GIS | The availability of parks was associated with benefits such as increased participation in active sports. Females were more likely to participate in wheel-based activities, such as cycling. |
| PA: Sports participation; Cycling | ||||
| Parks | [ | 2000 | SOPARC | Fitness Zones were added to some parks and not added in others (control). Usage of the park increased with the addition of the new equipment, and there are higher estimates of energy expenditure. |
| Park usage; energy expenditure | ||||
| Park enhancements—new equipment added | [ | 2003, 2004, 2006, 2008 | SOPARC | This study evaluated the effect of adding park improvements. Contrary to expectations, it was found that physical activity decreased in both parks with new equipment and those without. This decline was attributed to a decrease in programming during that period. |
| Physical activity | ||||
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| Routes: | [ | 2002–2011 | International Physical Activity and Environment Network (IPEN); Actigraph accelerometer; GIS | Residential density, intersection density, public transport density, number of parks significantly associated and linearly related to physical activity. |
| MVPA | ||||
| Routes: | [ | 2008–2012 | GIS | Children who lived closer to recreational open space had additional opportunities for physical activity and thus also had lower BMI z-scores. On the other hand, fewer nearby recreational open spaces, high traffic, sidewalk completeness, intersection density, and less residential density were associated with higher BMI z-scores. |
| PA and BMI z-scores | ||||
| Routes: | [ | Youth Survey | Examined the test-retest reliability of a survey designed for youth to assess their perceptions of physical environmental factors and transportation. | |
| Physical activity; Active Transport to School (ATS) | ||||
| Route: | [ | 2011–2013 | Actical Z accelerometers; STEAM study (Spatial–Temporal Environment and Activity Monitoring) | Neighborhoods with parks that contain sports fields and multi-use paths were found to significantly increase the average daily MVPA of children outside of school. This can be partially attributed to the fact that paths allow for active transportation. |
| MVPA | ||||
| Routes: | [ | 2006 | GIS | Having features such as public toilets, lighting, more than 25 trees, and walking paths were all linked with higher park usage. For those that used the park, 27% of participants used the park closest to home for physical activity. |
| PA-park usage | ||||
| Routes: | [ | 2009–2010 | Modified Alfonzo’s Hierarchy of Walking Needs; St. Louis University Environmental Checklist Audit Tool. | The study found that 64.4% of youth participants were moderately active, while only 2.9% were vigorously active. The groups that participated in activity the most were males, younger children, and African American children. The type of environments used most frequently were trails and multi-use zones (80.5%) and lakefront zones (45.1%). |
| MVPA | ||||
| Routes | [ | 2005 | Physical activity location mapping used with open-ended questions | Children reported enjoying to partake in physical activity the most at a beach close to school and a nearby park. The reasons for this preference included being able to participate in sports in that location and being able to have fun there. Common barriers to physical activity included schoolwork, weather conditions, traffic, and strangers. Only 23% of students walked for transport, and less than 2% biked to their favorite places. Overall, 39% of males and 46% of females used a car for transport. |
| Physical activity | ||||
| Routes: | [ | 2005–2008 | MEGAPHONE special data infrastructure; Questionnaires | Neighborhood features that increased children’s’ feelings of neighborhood safety were a high number of trees and adequate lighting. The feature that decreased this feeling of safety was a high proportion of minorities in the surrounding area. Parents showed similar trends but were more likely to associate high traffic and a lack of community involvement with decreased safety. |
| Perception of safety | ||||
| Routes: | [ | 1989–2009 | Review | The availability of infrastructure that allows for active transportation and recreation promotes greater physical activity. Additionally, parks and sports center were associated with higher MVPA in youth. Neighborhoods with mixed planning were more likely to have residents that participated in greater out-of-school physical activity. Although the focus to date has been on providing safe routes to schools, greater attention could be given to creating safe routes to all local destinations such as shops and shopping centers, which would enhance the quality and walkability of local environments for all residents, including children, adolescents and older adults. |
| MVPA | ||||
| Poor quality of sidewalks | [ | 2012 | 2010 Census; SOPLAY; Physical Activity Resource Assessment (PARA) | Neighborhoods with poor walking conditions and low-income residents were associated with less vigorous activity. Youth were most likely to use playgrounds, soccer fields, and pools. Low-income neighborhoods were more likely to have lower-quality sidewalks, and this was related to fewer odds of physical activity. |
| Physical activity | ||||
| Routes: | [ | 2007 | GIS; SOPARC | Factors that encouraged physical activities included playgrounds, sidewalks, and picnic areas. Major inhibitors to park use included crime and racial heterogeneity of the neighborhood. |
| Park use | ||||
| [ | 2000 | SOPARC | Fitness Zones were added to some parks and not added to others (control). The usage of the park increased with the addition of the new equipment, and there are higher estimates of energy expenditure. | |
| Park use | ||||
| [ | 2002–2011 | International Physical Activity and Environment Network (IPEN); Actigraph accelerometer; GIS | Residential density, intersection density, public transport density, number of parks significantly associated and linearly related to physical activity. | |
| MVPA | ||||
Longitudinal or Quasi-Experimental Studies Related to Physical Activity or Trail Use.
| Routes and/or Destination | Citation | Year(s) of Data | Data Collection Methods/Measures | Results |
|---|---|---|---|---|
| Longitudinal study design | [ | 2002–2011 | Actigraph accelerometer, Questionnaire | Non-school physical activity declined for both boys and girls from the 6th to the 8th grade. The facilities that were easiest to get to were parks, playing fields, paths or trails, and swimming pools. A majority of the sample said that there was crime in their neighborhood, as well as, enough traffic to make it hard to walk. |
| Quasi-experimental design, a prospective natural experiment. | [ | 2005, 2007 | Pedestrian count; Survey; Direct observation of Physical Activity | An urban greenway/trail was retrofitted in a Knoxville, TN neighborhood that lacked connectivity. The experimental neighborhood (17.7% minority ethnicity); was compared to two matched-control neighborhoods. Two-hour counts of physical activity increased from 2005 to 2007 in the intervention neighborhood but decreased in the control neighborhoods. |
| Safe transportation routes to schools and work sites. | [ | 2003, 2005, 2006 | The study methods used the Active Living by Design’s 5P Model (Preparation, Promotion, Programs, Physical Projects, Policy), to guide intervention planning and implementation. | This study highlights the results of a Robert Wood Johnson Foundation’s Active Living by Design grant that supported partnership building and a multilevel community intervention in 2003 in Jackson, MI (Jackson has more families below the poverty level (15.2%) than the average in Michigan and the United States; race/ethnicity demographics not reported). The safe physical activity project, which focused, in part, on creating safe transportation routes to encourage walking and biking to school and to worksites, was shown at follow-up (2005/2006) to change attitudes toward active transportation (8% increase in children who thought walking to school was “safer” post-intervention), intentions to try active transportation (43% of Smart Commute Day participants “would” smart commute more often post-event), and increased physical activity (the percentage of students walking to school more than doubled at three of four intervention schools). In addition, a community level observational study was conducted at 10 locations in the city in 2005 and 2006. The number of people seen using active transportation increased from 1028 in 2005 to 1853 people in 2006 (a 63% increase). |
| Pre-test post-test quasi experimental study. Evaluating a marketing/media campaign to promote trail use. | [ | 2011–2012 | Infrared monitors; Manual audits | The purpose of this study was to evaluate whether marketing of specific trails can increase their use. A Las Vegas, NE, a media campaign to promote a new searchable trails website, as well as the use of the southern Nevada trail system, was conducted. The media/marketing campaign of trails included radio, print, online ads, billboards, and signs on top of gas pumps. The media campaign ran for 8 weeks and was shown to increase trail use on 8 of 10 trails studied from an average of 3.91 users per hour to 5.95 users per hour. For the two trails whose use declined, it is possible that with new information available regular users of those trails switched to other, higher quality trails. The ads targeted women ages 18-54 and parents of children age 8–15, although it is unclear how the researchers targeted these specific audiences. |
| Pre-test Post-test quasi-experimental design | [ | 2006, 2008 | Door-to-door surveys; Self-report | A 6-block walking path and a school playground were installed in a low-income, largely African-American intervention neighborhood, in New Orleans, LA. Physical activity levels were measured in the intervention neighborhood and in two matched comparison neighborhoods by self-report, using door-to-door surveys, and by direct observations of neighborhood residents outside before and after the interventions. Self-reported physical activity increased over time in most neighborhoods. The proportion of residents observed who were active increased significantly in the section of the intervention neighborhood with the path compared with comparison neighborhoods. |
| A natural experiment, pre-test post-test quasi-experimental non-control design | [ | 2000 | Telephone survey of adults ≥18 years. Survey questions asked about: | A railway of >23 miles was under development for conversion to a multi-use trail. A segment of the trail was evaluated by randomly selecting and telephone interviewing adults living within 2 miles of the planned trail before trail construction began and approximately 2 months after completion of construction. For the total population, living nearby the part of the trail segment evaluated, 41.2% of the residents were black and 47.3% were white. |
| Routes: | [ | 2000–2001 | Telephone surveys of adults of ages 18–55 years | The Sydney, AU Road and Traffic Authority (RTA) completed the construction of a 16.5-km-long Rail Trail cycleway in Western Sydney in December 2000. A short-term local promotional campaign to increase awareness and use of the Rail Trail was conducted. The media campaign included local press advertisements about the newly constructed Rail Trail, and maps of the trail in English and six other languages. There was a significant increase in unprompted Trail awareness, but post-campaign awareness was low (34%). Pre and post-campaign telephone surveys were conducted with adults 18–55 years of age living in an “inner” area, within 1.5 km of the Trail, and an “outer” area, bike-owners only, 1.5–5 km from the Trail. Trail usage was higher among bike-owners than pedestrians and was moderated by proximity to the Trail. The campaign reached and influenced cyclists in the inner area. Inner cyclists increased mean cycling time by 0.19 h (SD _ 1.5) while outer cyclists decreased cycling, time (_0.24 h, SD _ 1.6). |
| Routes | [ | 2011–2012 | Infrared | Comparisons were made between pre-, mid-, and post-intervention usage rates on six trails where signage was added, to usage rates on four control trails. The signage was added to trails after a previous marketing campaign was used to effectively promote and increase trail usage on 8 of 10 trails studied. Wayfinding and incremental distance signage were associated with about a 33% increase in trail use (mean users per hour increased 31% for control trials and 35% for the trails with signage), but the total increase did not vary between the intervention and control groups. The marketing campaign intervention that occurred prior to the wayfinding and distance signage intervention that followed, may have influenced findings. |
Select Studies Evaluating Active Travel to School or Safe Routes to School: An Evidence-based Intervention That May Serve as a Model for Connecting Trails to Youth Trail Use Recreational Programs.
| Active Travel to School or SRTS | Citation | Year(s) of Data | Data Collection Methods/Measures | Results |
|---|---|---|---|---|
| [ | 2018 | Review | Sufficient evidence of effectiveness supporting for Active Travel to School (ATS) is available that supports increased walking among students and reduce risks for traffic-related injuries. | |
| Walking; traffic-related injuries | ||||
| [ | 1969–2001 | National Personal Transportation Survey | There has been a decrease in active transportation to school among children, resulting in lower levels of physical activity. It was encouraged that schools should be placed within walkable neighborhoods. | |
| Physical activity related to active transportation | ||||
| Active travel to school or SRTS and | [ | 2004 | BMI measurements; Self-Administered Physical Activity Checklist (SAPAC); Parent Questionnaire | Students who walked to school had a lower BMI in the post-test analysis. This association was also seen for children who participated in physical activity before school and daily moderate-intensity activities. |
| BMI; findings may differ by sex | ||||
| [ | 2000–2004 | GIS; 2000 U.S. Census; Database of elementary, middle, and high schools in the U.S. coded by geographic location | This study provided evidence that showed that over 65 million urban residents could benefit from a SRTS project to improve walking and cycling conditions. As a result, adults and children would be more likely to participate in physical activity in these areas. | |
| Physical activity | ||||
| [ | 2007–2008 | PLAY-On questionnaire | Participating in moderate to intense physical activities decreased a student’s odds of being overweight. This activity could come from opportunities for active transportation to school, and/or that provide student access to a variety of recreation facilities during school hours. The main indicator of a student’s odds of being overweight was their grade level. | |
| MVPA | ||||
| [ | 2010 | Interviews; 2006 Census | Active transportation to school was more common among children in suburban or semi-suburban neighborhoods as opposed to those in urban locations. The presence of neighborhood amenities increased this level of activity. | |
| Active transportation to school | ||||
| [ | 2001–2010 | Motor vehicle crash data; ArcGIS | The implementation of the SRTS program in New York City significantly decreased the rate of pedestrian injury among school-aged children. | |
| Injury rate |