Prev Chronic DisPrev Chronic DisPCDPreventing Chronic Disease1545-1151Centers for Disease Control and Prevention25211503416403714_017510.5888/pcd11.140175Original ResearchPeer ReviewedSeasonal Alterations in Park Visitation, Amenity Use, and Physical Activity — Grand Forks, North Dakota, 2012–2013RoemmichJames N.PhDJohnsonLuAnnMSAuthor Affiliations: LuAnn Johnson, Agricultural Research Service, US Department of Agriculture, Grand Forks, North Dakota.Corresponding Author: James N. Roemmich, PhD, Grand Forks Human Nutrition Research Center, Agricultural Research Service, US Department of Agriculture, Grand Forks, North Dakota 58203-9034. Telephone: 701-795-8272. E-mail: james.roemmich@ars.usda.gov.2014119201411E155Introduction

Park amenities promote visitation and physical activity during summer. Physical activity declines during winter. Identifying park amenities that promote visitation during winter would increase year-round activity. The purpose of this study was to determine how park visitation, amenity choice, and physical activity intensity change across seasons.

Methods

Physical activity intensity of children and adults was assessed at 16 parks in Grand Forks, North Dakota, during summer and fall of 2012, and winter and spring of 2013.

Results

Park visitation was highest in spring and lowest in winter. Amenity use varied by season. Parks with water splash pads were visited more during summer, and playgrounds and open spaces were visited more during spring. Ice rinks were visited most in winter. Physical activity intensity was lowest in summer and highest in winter for each age group. The activity intensity observed for all young age groups ranged from 2.7 to 2.9 metabolic equivalents in summer and greater than 3 metabolic equivalents in all other seasons. Adults’ mean activity intensity was greater than 3 metabolic equivalents in winter.

Conclusion

Information on park visitation, amenity use, and activity intensity across seasons is valuable; it can be used when designing or redesigning parks in order to promote year-round physical activity. Redesigning parks in cold climates to include ice rinks, sledding hills, cross-country skiing, and indoor areas for physical activity would increase winter visitation and allow the park to serve as a year-round resource for physical activity.

Introduction

Participation in physical activity reduces the risk of many chronic diseases (1,2). Parks are an important community resource for promoting physical activity (36), which produces mental and physical health benefits (79). The choice to engage in physical activity at a park rather than to be sedentary is likely associated with several factors including sex, age, access to the park, and the amenities available at the park (10). The presence of certain park amenities such as playgrounds, sport courts, and paths seem to promote physical activity among park users (1113). However, evidence regarding the most and least used amenities is inconsistent (1214). Some of these inconsistencies could be explained by conducting studies in every season and in various geographical areas.

Traditionally, park-based physical activity is studied through observation during summer (13,15,16) and, occasionally, spring in warm climates (12). However, weather conditions probably influence park visitation and amenity use, even during the warm-weather seasons of spring and summer. Overall leisure-time physical activity declines during winter (17,18) when people must be willing to overcome cold weather and short days to engage in activity at a park. Providing amenities that promote physical activity during winter and making them accessible at neighborhood parks could increase activity during winter. To our knowledge, no studies have assessed park activities repeatedly during each of the 4 seasons to learn seasonal differences in visitation, amenity choice, and physical activity. The purpose of this study was to determine whether park visitation, amenity choice, and physical activity intensity of children, adolescents, and adults differ by season.

Methods

During 2012–2013, physical activity type and intensity of park users was investigated at 16 parks in Grand Forks, North Dakota. The parks varied in size and amenities provided. This research was approved by the University of North Dakota Institutional Review Board.

Observers were trained in the use of the System for Observing Play and Recreation in Communities (SOPARC), which allows for measurement of the number of people of specified demographics (eg, age and sex) engaged in physical activities of sedentary, moderate, or vigorous intensity. Observers were trained on the use of SOPARC by using the standardized DVD and training materials (19), followed by several days of field training. Training continued until interobserver reliability reached at least 80% agreement with the trainer (J.N.R.) for demographics, number of people observed per scan, and activity intensity. Construct validity of SOPARC activity intensity has been established using heart rate as the criterion (20).

Park areas were sectioned into component parts to ease scoring when many users were present and to allow for analysis by amenity. Systematic observations were made during summer (July 17–August 18) and fall (September 29–October 29) of 2012, and winter (January 2–February 9) and spring (May 7–June 8) of 2013. Systematic observations of the target areas took place at 3 intervals (10:30–11:30 am, 2:30–3:30 pm, and 5:30–6:30 pm) each day for 3 weekdays and 1 Saturday during each of the 4 seasons. Observers performed a rapid visual scan to determine the number of children and adults and their sex, age category (young child 0–5 y, child 6–12 y, teen 13–18 y, and adult ≥19 y), activity intensity (sitting, standing, walking/moderate, or vigorous), and activity location (eg, at the swings or slides). Intensity was scored at the moment of observation and not by the general activity. Activity level classifications were converted to metabolic equivalent (MET) intensities (sitting = 1.25 METs; standing = 1.5 METs; moderate = 3.0 METs; vigorous = 6.0 METs) based on described values (19,21,22). Observers did not interact with the patrons, except to acknowledge and return perfunctory greetings. Park visitors were not informed of the research as this might elicit a change in behavior. Heat index or wind chill according to weather history at wunderground.com were recorded. The mean (SE) heat index or wind chill over observation days were 26.6°C (5.0) in summer, 8.2°C (9.3) in fall, −12.8°C (6.0) in winter, and 20.2°C (3.9) in spring. Observations were rescheduled when weather dictated (eg, raining, real temperature of less than −15°C).

Ice sheets (outdoor hockey rinks and ice rinks for skating), sand volleyball courts, basketball courts, and tennis courts were all categorized as “sport courts”; baseball fields, soccer fields, and football fields were “sport fields.” SOPARC data were aggregated to determine number of users and activity intensity according to sociodemographic characteristics (eg, age and sex). Data are reported as means (SEs). For each age category, a log-linear model was used to test whether the number of park visitors differed by sex, by season, or by an interaction of sex and season. For each park amenity, a log-linear model was used to test whether the number of visitors differed by season. The Glimmix procedure in SAS version 9.3 (SAS Institute, Inc) was used to fit the log-linear models by specifying the Poisson distribution and χ2 statistics. Two-way analysis of variance was used to test for the effects of sex, season, and the interaction of sex and season on activity intensity. Tukey contrasts were used for post-hoc comparisons. SAS version 9.3 was used for all analyses.

Results

Children’s park visitation differed by season with significantly greater visits in summer (678 children observed), followed by spring (512), fall (260), and winter (108). Significantly more young children who visited the park were boys than girls (Table 1). More boys than girls aged 612 y visited parks in spring and winter. More adolescent boys than girls (aged 1318 y) were observed in the fall and winter, but more girls than boys in the spring. More adult men than women were observed during fall and winter.

Number of Visitors at Parks by Age Group, Sex, and Season — Grand Forks, North Dakota, 2012 and 2013<xref rid="T1FN1" ref-type="table-fn">a</xref>
Age, ySummer 2012
Fall 2012
Winter 2013
Spring 2013
MaleFemaleMaleFemaleMaleFemaleMaleFemale
0–5b 3733051361245949277235
6–12c 294d 290d 479e 445e 194f 105g 802h 614i
13–18c 162d , e 175d , e 219e 71f 204d , e 60f 151d 209e
≥19c 848d , e 972d , f 774e 655g 332h 165i 1,055f 978f

Seasons were summer and fall of 2012 and winter and spring of 2013. Data are the number of individuals tallied at all 16 study parks over 12 observations (3 times per day on 3 weekdays and 1 weekend day).

From log-linear models, season main effect P < .001; each season differs from all others for both males and females.

From log-linear models, like letters (d,e,f,g,h,i) within same row are not significantly different by Tukey contrasts.

We determined the numbers of park visitors using each amenity (Table 2). As a result of ice sheets being included in the “courts” category, courts were visited most in winter and then spring. Playgrounds, a Frisbee golf course, and open spaces were visited most in the spring and then summer. Splash pads, gardens, and shelters were visited most in summer. Walking path use was greatest in spring and summer, followed by fall, and then winter. Sport fields were used most often in fall, followed by spring and then summer.

Number of Visitors Using Park Amenities, by Season<xref rid="T2FN1" ref-type="table-fn">a</xref> — Grand Forks, North Dakota, 2012 and 2013
Amenityb No. of Parks With the AmenitySeason
Summer 2012Fall 2012Winter 2013Spring 2013
Sport courtsHockey, 11146c 74d 668e 281f
Basketball, 12
Volleyball, 2
Tennis, 3
Playgrounds161024c 700d 213e 1,624f
Frisbee golf1156c 147c 6e 268d
Open spaces11106c 60d 71d 158e
Splash pads2195c 8d 036e
Gardens2112c 21d 044e
Shelters11584c 183d 041e
Walking paths7583c 444d 115e 665c
Sport fieldsBaseball, 11152c 716d 0499e
Soccer, 7
Football, 3
Treed areas888c 57c 24d 70c

Data are the number of individuals tallied at all 16 study parks over 12 observations (3 times per day on 3 weekdays and 1 weekend day).

From log-linear models, like letters (c,d,e,f) in the same row are not significantly different by Tukey contrasts (all P values are < .001).

We collected data on intensity of physical activity (Table 3). The intensity of young children’s physical activity at the park differed significantly by season. Young children were most intensely active during winter and least active in summer. Similarly the activity of children aged 6 to 12 years was most intense during winter and least intense during summer. Boys were more intensely active than girls. The interaction of sex and season for activity intensity of adolescents (aged 13–18 y) was significant. Adolescent boys were more intensely active than girls during winter and were more intensely active in winter than other seasons. Adolescent girls’ activity intensity was greater in fall than summer.

Activity Intensity (METs) in Parks by Age Group, Sex, and Season — Grand Forks, North Dakota, 2012 and 2013<xref rid="T3FN1" ref-type="table-fn">a</xref>
Age, ySummer 2012
Fall 2012
Winter 2013
Spring 2013
MaleFemaleMaleFemaleMaleFemaleMaleFemale
0–5b 2.9 (0.1)2.7 (0.1)3.4 (0.1)3.2 (0.2)4.6 (0.2)4.5 (0.2)3.6 (0.1)3.4 (0.1)
6–12b 2.9 (0.1)2.7 (0.1)3.6 (0.1)3.4 (0.1)4.8 (0.1)4.3 (0.2)3.5 (0.1)3.4 (0.1)
13–18c 2.9 (0.1)d 2.7 (0.1)d 3.4 (0.1)e 3.6 (0.2)e 4.5 (0.1)f 3.3 (0.2)d , e 3.3 (0.1)d , e 3.1 (0.1)d , e
≥19c 2.7 (0.1)d 2.2 (0.1)e 2.5 (0.1)f 2.2 (0.1)e , g g 4.2 (0.1)h 3.2 (0.1)i 2.8 (0.1)d 2.4 (0.1)f , g

Abbreviation: METs, metabolic equivalents.

Data are the mean (standard error) METs of people assessed in 16 parks observed 3 times per day on 3 weekdays and 1 weekend day.

From two-way analysis of variance, season main effect is significant: winter > spring; fall > summer.

From two-way analysis of variance, like letters (d,e,f,g,h,i) in the same row are not significantly different by Tukey contrasts.

The interaction of season and sex was also significant for the intensity of adults’ physical activity. Men were more active than women in all seasons. Men had greater activity intensity in winter (4.2 METs) than in all other seasons. The intensity of men’s activity in spring and summer (P = .005) was greater than in fall (2.5 METs). Women also had greater activity intensity in winter (3.2 METs) than in all other seasons. Women’s activity intensity was greater in spring (P = .01) than in summer.

Discussion

This study extends this area of research by providing initial evidence of seasonal effects on the visitation of parks, amenity use, and physical activity intensity of park visitors. Visitation was highest during spring and could be attributed to the advent of warmer weather. These results raise questions regarding the generalizability of results from park observation studies that occur during spring or summer, because seasonal differences in both activity intensity and park visitation can be large. In northern climates, assessments conducted during spring or summer would provide different estimates of park visitation, amenity use, and the importance of parks as community resources for physical activity than assessments conducted during spring and fall.

Total leisure-time physical activity is lower in the winter than other seasons (23,24). Moreover, obesity prevalence among young people is greatest in winter and lowest in spring and summer (25); thus, park visitation should be promoted, especially during the winter. Understandably, the lowest park visitation was during the winter. The outdoor temperatures and wind chill factors during a northern plains winter are not as comfortable as during the spring and summer. Additional promotion of winter activity by park designers, park boards, and park managers could increase winter visitation. Sport fields are available during the winter season for active pursuits such as fat-tire bicycling, snowshoeing, or cross-country skiing, but few visits were observed to these areas. During the winter, nets for volleyball and tennis are removed from sport courts and ice sheets are added for hockey and ice skating. Unlike other age groups who visited the park less in the winter, adolescent boys visited at similar rates during cold weather to play hockey.

Future research should determine which park amenities and programs promote winter park visitation and physical activity by other demographic groups. Perhaps sledding hills could draw young and middle-school–aged children with their parents. Indoor fitness centers are popular in Grand Forks. Perhaps, in a northern climate where snow is common, park visitation and activity could be increased by adding smaller indoor facilities for yoga, dance, climbing, table tennis, volleyball, and martial arts to neighborhood parks.

The parks observed in our study had fewer programs in winter than in summer. Programming outdoor activities such as ice skating lessons, outdoor ice hockey leagues, cross-country skiing lessons and group sessions on groomed trails, and winter walking and running groups could increase active park use in winter. Flowers in bloom, the textures and colors of the leaves of shrubs, and the changing colors of foliage encourage park visitation during the warmer months. In contrast, parks lack such natural ornamentation during winter. Perhaps winter programs to create snow sculptures or holiday ornamentation would draw children and adults to visit. Park infrastructure such as warming huts and lighting may also increase visitation during the short days of winter, as safety is an important factor in one’s decision to go to a park (26).

Although park visits are lower during winter, the activity intensity is greater than 3 METs, which is considered moderate-to-vigorous physical activity (MVPA) and associated with health benefits such as lower adiposity and lower risk for metabolic syndrome (27). Park visitors were more intensely active during winter than in any other season, largely because of ice skating activities and low temperatures that encourage motor movement. Consistent with previous research findings, the lowest activity intensity was recorded during summer (28). Perhaps people are least intensely active outdoors when the temperatures are high.

Having winter amenities in parks would promote winter park use, and providing such amenities should be a goal of park design or redesign. Visits were highest during spring, and activity intensity was lowest during summer. Seasonal differences in the number of visits, amenity use, and activity intensity, even during warm seasons, suggests that results collected during one season are not generalizable to all seasons. Our study provides insights into the amenities that draw individuals to parks during each season. Similar research is needed in other geographical areas with a different climate, such as the desert, where the summer weather may be more of a challenge than winter weather to increasing park visits and physical activity. Information on the number of park visits, extent of amenity use, and the activity intensity of those who use the park during each season is extremely useful for those engaged in designing or renovating parks to promote year-round physical activity.

Acknowledgment

We acknowledge the material contributions of Joley E. Beeler, BS, to data collection and writing of this manuscript. We thank the Grand Forks Park District for access to the parks. This research was supported by the US Department of Agriculture (USDA) and the Agricultural Research Service project USDA 5450-51000-049-00D. The contents of this article do not necessarily reflect the views or policies of the USDA or the Agricultural Research Service. The mention of trade names, commercial products, or organizations does not imply endorsement by the US government. The study sponsor had no involvement in the study design; collection, analysis, or interpretation of data; writing the manuscript; or the decision to submit the manuscript for publication. The authors declare that there are no conflicts of interest.

The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.

Suggested citation for this article: Roemmich JN, Johnson L. Seasonal Alterations in Park Visitation, Amenity Use, and Physical Activity — Grand Forks, North Dakota, 2012–2013. Prev Chronic Dis 2014;11:140175. DOI: http://dx.doi.org/10.5888/pcd11.140175.

References Bauman AE . Updating the evidence that physical activity is good for health: an epidemiological review 2000-2003.J Sci Med Sport2004;7(1, Suppl):619 10.1016/S1440-2440(04)80273-115214597 Warburton DE , Nicol CW , Bredin SS . Health benefits of physical activity: the evidence.CMAJ2006;174(6):8019 10.1503/cmaj.05135116534088 Roemmich JN , Epstein LH , Raja S , Yin L . The neighborhood and home environments: disparate relationships with physical activity and sedentary behaviors in youth.Ann Behav Med2007;33(1):2938 10.1207/s15324796abm3301_417291168 Roemmich JN , Epstein LH , Raja S , Yin L , Robinson J , Winiewicz D . Association of access to parks and recreational facilities with the physical activity of young children.Prev Med2006;43(6):43741 10.1016/j.ypmed.2006.07.00716928396 Durand CP , Andalib M , Dunton GF , Wolch J , Pentz MA . A systematic review of built environment factors related to physical activity and obesity risk: implications for smart growth urban planning.Obes Rev2011;12(5):e17382 10.1111/j.1467-789X.2010.00826.x21348918 Rodríguez DA , Cho GH , Evenson KR , Conway TL , Cohen D , Ghosh-Dastidar B , Out and about: association of the built environment with physical activity behaviors of adolescent females.Health Place2012;18(1):5562 10.1016/j.healthplace.2011.08.02021945085 Blanck HM , Allen D , Bashir Z , Gordon N , Goodman A , Merriam D , Let’s go to the park today: the role of parks in obesity prevention and improving the public’s health.Child Obes2012;8(5):423823061497 Orsega-Smith E , Mowen AJ , Payne LL , Godbey G . The interaction of stress and park use on psycho-physiological health in older adults.J Leis Res2004;36(2):23256 Ulrich RS , Dimberg U , Driver BL . Psycho-physiological indicators of leisure benefits. In: Driver BL, Brown PJ, Peterson GL, editors. Benefits of Leisure. State College (PA): Venture Publishing, Inc; 1991 p. 73–89. Bedimo-Rung AL , Mowen AJ , Cohen DA . The significance of parks to physical activity and public health: a conceptual model.Am J Prev Med2005;28(2, Suppl 2):15968 10.1016/j.amepre.2004.10.02415694524 Shores KA , West ST . The relationship between built park environments and physical activity in four park locations.J Public Health Manag Pract2008;14(3):e916 10.1097/01.PHH.0000316495.01153.b018408541 Floyd MF , Spengler JO , Maddock JE , Gobster PH , Suau LJ . Park-based physical activity in diverse communities of two U.S. cities: an observational study.Am J Prev Med2008;34(4):299305 10.1016/j.amepre.2008.01.00918374243 Reed JA , Arant CA , Wells P , Stevens K , Hagen S , Harring H . A descriptive examination of the most frequently used activity settings in 25 community parks using direct observation.J Phys Act Health2008;5(Suppl 1):S1839518364523 Cohen DA , Marsh T , Williamson S , Derose KP , Martinez H , Setodji C , Parks and physical activity: why are some parks used more than others?Prev Med2010;50(Suppl 1):S912 10.1016/j.ypmed.2009.08.02019850067 Kaczynski AT , Stanis SA , Besenyi GM , Child S . Differences in youth and adult physical activity in park settings by sex and race/ethnicity.Prev Chronic Dis2013;10:E42 10.5888/pcd10.12027623537516 Shores KA , West ST . Rural and urban park visits and park-based physical activity.Prev Med2010;50(Suppl 1):S137 10.1016/j.ypmed.2009.07.02319744513 Ma Y , Olendzki BC , Li WE , Hafner AR , Chiriboga D , Hebert JR , Seasonal variation in food intake, physical activity, and body weight in a predominantly overweight population.Eur J Clin Nutr2006;60(4):5192816340952Monthly estimates of leisure-time physical inactivity – United States, 1994. MMWR Morb Mortal Wkly Rep 1997;46(18):3937 http://wonder.cdc.gov/wonder/prevguid/m0047596/m0047596.asp Accessed December 13, 20139157273 McKenzie TL , Cohen DA , Sehgal A , Williamson S , Golinelli D . System for observing play and recreation in communities (SOPARC): reliability and feasibility measures.J Phys Act Health2006;3(Suppl 1):S2082220976027 McKenzie TL . Observational measures of children’s physical activity.J Sch Health1991;61(5):2247 10.1111/j.1746-1561.1991.tb06019.x1943048 Ainsworth BE , Haskell WL , Leon AS , Jacobs DR Jr , Montoye HJ , Sallis JF , Compendium of physical activities: classification of energy costs of human physical activities.Med Sci Sports Exerc1993;25(1):7180 10.1249/00005768-199301000-000118292105 Ainsworth BE , Haskell WL , Whitt MC , Irwin ML , Swartz AM , Strath SJ , Compendium of physical activities: an update of activity codes and MET intensities.Med Sci Sports Exerc2000;32(9, Suppl):S498504 10.1097/00005768-200009001-0000910993420 Levin S , Jacobs DR Jr , Ainsworth BE , Richardson MT , Leon AS . Intra-individual variation and estimates of usual physical activity.Ann Epidemiol1999;9(8):4818 10.1016/S1047-2797(99)00022-810549881 Pivarnik JM , Reeves MJ , Rafferty AP . Seasonal variation in adult leisure-time physical activity.Med Sci Sports Exerc2003;35(6):10048 10.1249/01.MSS.0000069747.55950.B112783049 Dietz WH Jr , Gortmaker SL . Factors within the physical environment associated with childhood obesity.Am J Clin Nutr1984;39(4):619246711469 McCormack GR , Rock M , Toohey AM , Hignell D . Characteristics of urban parks associated with park use and physical activity: a review of qualitative research.Health Place2010;16(4):71226 10.1016/j.healthplace.2010.03.00320356780 Loprinzi PD , Lee H , Cardinal BJ . Dose response association between physical activity and biological, demographic, and perceptions of health variables.Obes Facts2013;6(4):38092 10.1159/00035475223970147 Baranowski T , Thompson WO , DuRant RH , Baranowski J , Puhl J . Observations on physical activity in physical locations: age, gender, ethnicity, and month effects.Res Q Exerc Sport1993;64(2):12733 10.1080/02701367.1993.106087898341835