To examine the effects of a park awareness campaign on park use in six community parks.
One group pretest-posttest design.
Six community parks located in a South Carolina county.
Children, adolescents, and adults observed in community parks.
A one-month awareness campaign that culminated in single 1.5-hour events at six parks in April 2011 and May 2011.
The System for Observing Play and Recreation in Communities (SOPARC) was used to objectively measure park use in May 2010 (baseline) and May 2011 (post campaign). Zero-inflated Poisson models tested whether the number of total park users and the number of park users engaged in sedentary, walking, and vigorous activities differed by observation date.
Park use was significantly greater at baseline than post campaign (97 versus 84 users, respectively, χ2=4.69,
Although only 97 and 84 people were observed across all parks at baseline and post campaign, a total of 629 people were observed during the six separate 1.5-hour campaign park events. This suggests there is potential for greater park utilization in these communities, and important questions remain on how to conduct effective awareness campaigns and how to harness interest in park events for the purpose of contributing to future community-wide physical activity and health promotion efforts.
Parks play an important role in helping individuals and communities reach public health recommendations for physical activity (PA).
Rural populations have poorer health and engage in less PA than their urban and suburban counterparts.
The awareness campaign occurred in a South Carolina (SC) county where six community parks previously benefited from a mini-grant program implemented by the University of South Carolina Prevention Research Center. Three of six communities were identified as rural (
The awareness campaign initiated a larger effort to promote PA in this county (a walking program for rural communities). The campaign consisted of single 1.5-hour events at each park in late spring 2011. Event activities included group walks, child and adult activities and games, and music via a radio station truck. A pedometer, map of county walking tracks and trails (including those featured in the awareness campaign), and other items were provided. Park event promotion efforts included advertisements in the county's newspaper, a banner placed on a frequently-used street, and three billboards. Advertisements aired on five radio stations for one month (averaging 13 advertisements/day on each station). Postcards containing event information were mailed to all households within a 2-mile radius of each park (14,103 total). Event posters were displayed at each park and flyers were distributed through local churches and schools.
The System for Observing Play and Recreation in Communities (SOPARC)
Each park was observed four times per day on four randomly-selected days at baseline and post campaign: two weekdays, one Saturday, and one Sunday.
For each observation day, TA use was summed across the four observation periods. Due to a high number of zero counts, zero-inflated Poisson models were used to determine whether the number of park users differed between baseline and post campaign. Initial analysis used all data, with subsequent analyses stratified by park. Zero-inflated Poisson models were not appropriate for Parks B and D given their distribution of park use data. For these two parks, logistic regression was used to determine whether the likelihood of observing park use differed between baseline and post campaign: TA use was dichotomized into one or more users or no users. Separate zero-inflated Poisson models (with all parks included in the models) were conducted to determine whether the number of park users engaged in sedentary, walking, and vigorous activities differed between baseline and post campaign. Statistical analyses were conducted using SAS version 9.2.
There was 100% agreement between raters on whether users were present during TA observations, and near perfect agreement on number of users (ICC=.99).
The strategies used to promote the campaign park events were reasonably effective in reaching residents; however, park use decreased by 13% from baseline to post campaign. Park use data show the results were driven by community events observed at baseline but not at post campaign. Eigthy-seven percent of people observed at Parks A and F at baseline were observed during a community church event (one observation period) and from a church after-school program (two observation periods). These three observation periods (3% of total observations) accounted for 62% of total park use at baseline. If these observation periods were excluded, park use would more than double from baseline to post campaign, leading to very different conclusions about the effectiveness of the awareness campaign. As these events were not regular park programming, their exclusion may result in more representative park use data. The results may also be reflective of a secular trend in park use in the county. Walking track use was observed at a well-known park centrally located in this county using the same observation protocols described in this study (this park was not included in the awareness campaign). The results show walking track use decreased by 23% from baseline to post campaign at this facility.
This study has limitations that should be considered. Other than providing a map of county walking tracks/trails, no efforts were made to promote regular park use at the campaign park events. Further, a campaign consisting of single events may not be sufficient to alter residents’ park use behavior, and a series of events may be needed. A lack of control parks is an additional limitation. However, there were notable strengths in this study, including informational outreach activities being a largely untested approach for increasing park awareness and use, and the use of a longitudinal design and objective measures of park use. This study was also conducted in rural communities with a high representation of racial/ethnic minorities, for which little information on park promotion efforts is known.
Parks may be an important setting for PA in rural communities.
We wish to thank the many staff and students who assisted with data collection.
Funding: This research was supported in part by the Centers for Disease Control and Prevention's National Center for Chronic Disease Prevention and Health Promotion by Cooperative Agreement Number U48-DP-001936. This research is also supported in part by a cooperative agreement from the Centers for Disease Control and Prevention and the Prevention Research Centers through the Association of Schools of Public Health. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention, the Department of Health and Human Services, or the Association of Schools of Public Health. The funding sponsors had no role in study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.
Conflicts of Interest: The authors have no conflicts of interest to report.
Park Community Characteristics, Campaign Park Event Attendance, and Park Use in May 2010 (Baseline) and May 2011 (Post Campaign) by Park
| Park A | Park B | Park C | Park D | Park E | Park F | Total | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Urban/Rural Classification | Urban | Rural | Rural | Rural | Urban | Urban | N/A | |||||||
| % Population Rural | ||||||||||||||
| Block Group | 26% | 82% | 100% | 74% | 0% | 77% | N/A | |||||||
| Tract | 27% | 63% | 100% | 23% | 0% | 88% | N/A | |||||||
| Population Density (persons/miles2) | ||||||||||||||
| Block Group | 524.0 | 145.9 | 63.1 | 165.5 | 1141.4 | 61.5 | N/A | |||||||
| Tract | 151.7 | 93.3 | 73.4 | 484.6 | 1312.0 | 35.1 | NA | |||||||
| Campaign Park Event Attendance | 104 | 100 | 150 | 110 | 48 | 117 | 629 | |||||||
| Data Collection Time Period | 2010 | 2011 | 2010 | 2011 | 2010 | 2011 | 2010 | 2011 | 2010 | 2011 | 2010 | 2011 | 2010 | 2011 |
| Total Park Use | 48 | 13 | 1 | 0 | 15 | 20 | 0 | 33 | 12 | 15 | 21 | 3 | 97 | 84 |
| Park Use by Gender | ||||||||||||||
| Female | 29 | 9 | 1 | 0 | 4 | 11 | 0 | 11 | 0 | 2 | 6 | 3 | 40 | 36 |
| Male | 19 | 4 | 0 | 0 | 11 | 9 | 0 | 22 | 12 | 13 | 15 | 0 | 57 | 48 |
| Park Use by Age | ||||||||||||||
| Child | 8 | 7 | 0 | 0 | 3 | 18 | 0 | 19 | 8 | 5 | 17 | 1 | 36 | 50 |
| Teen | 7 | 2 | 0 | 0 | 7 | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 19 | 2 |
| Adult | 32 | 4 | 1 | 0 | 5 | 2 | 0 | 14 | 0 | 10 | 3 | 2 | 41 | 32 |
| Senior | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Park Use by Race/Ethnicity | ||||||||||||||
| Latino | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 |
| Black | 9 | 13 | 1 | 0 | 15 | 16 | 0 | 33 | 11 | 15 | 19 | 0 | 55 | 77 |
| White | 38 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 3 | 39 | 7 |
| Other | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| Park Use by Activity Level | ||||||||||||||
| Sedentary | 38 | 11 | 1 | 0 | 2 | 8 | 0 | 19 | 5 | 8 | 12 | 1 | 58 | 47 |
| Walking | 7 | 2 | 0 | 0 | 8 | 12 | 0 | 11 | 5 | 3 | 6 | 2 | 26 | 30 |
| Vigorous | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 3 | 2 | 4 | 3 | 0 | 10 | 7 |
| Park Use by Type of Day | ||||||||||||||
| Weekday | 1 | 6 | 1 | 0 | 15 | 20 | 0 | 0 | 5 | 2 | 21 | 3 | 43 | 31 |
| Weekend | 47 | 7 | 0 | 0 | 0 | 0 | 0 | 33 | 7 | 13 | 0 | 0 | 54 | 53 |
Urban/rural classification and land area data are from the US Census G001 Geographic Identifiers dataset (2010 SF1 100% Data), total population data are from the US Census P1 Total Population dataset (2010 SF1 100% Data), and percent population rural are from the US Census P2 Urban and Rural dataset (2010 SF1 100% Data)
The probability of observing use was significantly lower in May 2010 than May 2011 (
Total park use was significantly greater in May 2010 than May 2011 (
Number of park users by age, race/ethnicity, and activity level group may not equal total park use as separate observation scans were conducted for sub-groups, consistent with the momentary time sampling protocol used in the study.