Determining Factors in the Use of Urban Parks That Influence the Practice of Physical Activity in Children: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Eligibility Criteria
2.2. Information Sources and Search Strategies
2.3. Data Collection Process
2.4. Risk of Bias in Studies
3. Results
3.1. Study Selection
3.2. Characteristics of Eligible Studies
3.2.1. Outcomes Pertaining to Park Type
3.2.2. Outcomes Pertaining to the Socio-Economic Context
3.2.3. Outcomes Pertaining to Analysed Variables
3.2.4. Outcomes Pertaining to Employed Instruments
3.2.5. Outcomes Pertaining to Study Objectives
3.3. Synthesis of the Reviewed Studies
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- Use of the park: Of the 19 papers that measured this variable, the most used instruments were the SOPARC (n = 11; 57.9%), interview (n = 5; 16.1%) and questionnaires (n = 4; 12.9%).
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- Characteristics of the park: Of the 15 papers that analysed different characteristics, the most widely used instruments were questionnaires (n = 6; 40%) and SOPARC (n = 4; 26.7%).
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- Perceptions of users, both children and adults: Out of nine papers, the most used instruments were interviews and questionnaires (n = 4; 44.4%), which were used in each of them.
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- PA time: Of the six papers that analysed this variable, the most widely used instruments were the SOPARC (n = 3; 50%) and the MET-h (n = 2; 33.3%).
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- PA intensity: Of the 13 papers that measured it, the most used instrument was the SOPARC (n = 11; 84.6%) and the SOPLAY and accelerometers, with (n = 3; 23.1%) each.
3.4. Risk of Bias of the Studies
4. Discussion
4.1. Evidence Summary
4.2. Limitations
5. Conclusions
Future Perspectives
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Papers | Authors | Year | Country | Age | Sample * | Park Type ** | Context *** |
---|---|---|---|---|---|---|---|
1 | Flowers et al. [49] | 2020 | Australia | 3–11 | 86 Ch (47 Ml; 39 Fm) 571 Pa | UP | H-M-L |
2 | Veitch et al. [57] | 2020 | Australia | 8–12 | 30 Ch (53% Fm) 9 Pk | UP | H-M-L |
3 | Flowers et al. [60] | 2019 | Australia | 3–11 | 375 Pa 317 Pk | UP | H-M-L |
4 | Gil- Madrona et al. [61] | 2019 | Spain | 24–40 | 1.029 Ad 41 Pk | UP | H-M-L |
5 | Lal et al. [62] | 2019 | Australia | - | 2 Pk | TUP vs. RUP | L |
6 | Marquet et al. [63] | 2019 | USA | 5–10 | 16.577 Ch 120 Pk | TUP | L |
7 | Parra et al. [64] | 2019 | USA | - | 599 Ad; 246 Ch 1 Pk | TP (RUP) | M |
8 | Quiao [65] | 2019 | China | 3–9; 24–40 | 1.320 (1030 Ad; 290 Ch) | PR | H-M-L |
9 | Talarowski et al. [53] | 2019 | London and USA | - | 16 Pk | TUP vs. RUP | H-M-L |
10 | Washington et al. [66] | 2019 | Australia | 18–60+ | 386 U (61% Fm) 12 Pk | TUP | - |
11 | Adams, Veitch & Barnett [67] | 2018 | Australia | 5–10 | 57(28 Fm; 29 Ml) 3 Pk | TUP-RUP-AP | - |
12 | Rossi et al. [68] | 2018 | Brazil | 7–14 | 2.152 (56.5% Fm; 43.5% Ml) | PP/PR | H-M-L |
13 | Veitch et al. [69] | 2018 | Australia | 1–12 | 2374 (49.6% Fm; 50.4% Ml) 2 Pk | TUP vs. RUP | - |
14 | Bezold et al. [70] | 2017 | USA | 11–14 | 94.997 Ch | PP/PR | H-M-L |
15 | Kaymaz, Oguz, & Cengiz-Hergul [47] | 2017 | Turkey | 6–12 | 418 Ch; 383 Pa 8 Pk | UP | M-H |
16 | McCarthy, Hughey & Kaczynski [71] | 2017 | USA | 8–11 | 13.469 Ch 95 Pk | PR | L |
17 | Ou, J.Y. et al. [51] | 2016 | USA | ≥18 | 354 U | UP | M-L |
18 | Boonzajer et al. [4] | 2016 | The Netherlands | 0–15 | 20 Pk | RKF | L |
19 | Slater et al. [72] | 2016 | USA | U | 78 | PP/PR | M-L |
20 | Arroyo-Johnson et al. [73] | 2016 | USA | U | 100 Pk | PP/PR | L |
21 | Baek et al. [74] | 2015 | USA | 8–17 | 94 Ch 1 Pk | RUP | M-L |
22 | Schipperijn et al. [75] | 2015 | Denmark | U | 3 Pk | BP | M-H |
23 | Roemmich & Johnson [56] | 2014 | USA | 0–5; 6–12; 13–18; ≥19 | 16 Pk | PP | M-H |
24 | Roemmich, Beeler & Johnson [76] | 2014 | USA | 0–12; 19+ | 1 Pk | PP/PR | M-H |
25 | Cohen et al. [77] | 2014 | USA | - | U 15 Pk | PKP | L |
26 | Nasar & Holloman [78] | 2013 | USA | 9–10 | 304 Ch (14 Fm; 17 Ml); 75 Pa 14 Pk | PP/PR | L |
27 | Reed & Hooker [79] | 2012 | USA | 6–12;13–20 | (1668 Ml; 1184 Fm) 45 Pk | PP | H-M-L |
28 | Colabianchi et al. [80] | 2011 | USA | - | 20 Pk | TUP vs. RUP | L |
29 | Spengler et al. [81] | 2011 | USA | 0–10 | 3410 Ch 28 Pk | UP | L -H |
30 | Quigg et al. [82] | 2010 | New Zealand | 5–10 | 184 Ch | PP/PR | L |
31 | Jansson & Persson [83] | 2010 | Sweden | 3–6; 6–11 | 141 Ch 2 Pk | PR | M-H |
No. | Study Objective | St * | Variables | Instruments ** | Conclusions |
---|---|---|---|---|---|
1 | To identify the type of children who visit parks far from their homes and compare them with those who do not visit. | QT | Park size; distance; access (transport); areas for activity; quality and safety | Interviews; ad-hoc questionnaires; Google maps; VPA | Children and families are willing to travel further to visit larger parks with a variety of facilities and services (sports courts, bathrooms, water fountains, barbecues, picnic shelters...). |
2 | To identify the opinions of children from different social classes regarding the characteristics that influence their visits to the park, PA engagement in the park and social interaction. | QL | Visit frequency; time of PA; social interaction | Interviews; ad-hoc questionnaires | Children are attracted to parks that facilitate play, have elements of risk/adventure and are large enough to allow for a variety of physical and social activities. |
3 | To examine the characteristics of parks visited by children at different stages (3–5/6–8/9–11 years). | QT | Access (transport); areas for activity; quality and safety | Survey; ad-hoc questionnaires; Google maps; VPA | When children reach primary school age, they usually visit parks that are farther away from home and are larger, with sports and active recreation facilities. |
4 | To examine parents’ perceptions of the contribution of public parks to children’s motor, social and creative development and to reducing childhood obesity. | QT | Social skills, motor skills and perceptual-motor skills; creativity; obesity; sex and age; educational level and responsibility | Validated questionnaire | Women between the ages of 30 and 49, with high levels of education and high levels of participation in their children’s education, had more positive perceptions of the impact of public parks on children’s motor, social and creative development and the reduction of obesity in children. |
5 | To evaluate the profitability of installing an active playground in a large park in a low socio-economic area. | QT | Time spent engaged in PA; age; activity type; PA level | SOPARC; MET | The remodelling of the park, designed specifically for children, was effective in increasing their PA. |
6 | To examine the association between the characteristics of the park and its use by 5–10 year olds of different ethnicities | QT | Park characteristics and the use of different areas; age; race; activity type; PA level | SOPARC; MET | Significant associations were found between park use, PA levels and park area characteristics. |
7 | To investigate park use, and satisfaction and perceptions of park users regarding park improvements. | QT | Park use and characteristics of different areas; age; activity type; PA level | Intercept interviews; video; SOPARC | Multi-generational parks with access to various activities and fitness areas facilitate PA in different age groups and can provide social and physical health benefits. |
8 | To identify the preferences of parents of children (3–9 years) in terms of the availability, location, shape, characteristics, safety and comfort of parks. | QT | Location; design; operational characteristics; safety and comfort | Online survey | Preference is given to playgrounds that are close to home or playgrounds in central green residential areas which offer the possibility of outdoor activity, green areas and high levels of safety. |
9 | To compare and evaluate playground use and levels of moderate to vigorous PA in innovative versus traditional playgrounds. | QT | Park use; PA level | SOPARC; Video | The design of an innovative playground was associated with an increase in MVPA, however, playground size was more strongly associated with the number of visitors. |
10 | To learn about the use of public parks in residential areas and the social interactions that take place in this context. | QL | Use; park design; type and level of PA; social interaction | Ad-hoc questionnaire Intercept interviews | Public parks in residential neighborhoods were proven to be specific areas for PA and social engagement. |
11 | To examine whether the design of the park facilitated higher levels of PA and fundamental motor skill development. | QT | PA level; motor skills | GT1M; SOFIT | Park design contributes significantly to the daily PA needs of children but involves a limited number of motor skills. |
12 | To study the relationship between the use of public places for PA and active leisure with respect to distance and overweight/obesity indicators in school children from different areas. | QT | Distance; frequency of use; body mass index (BMI); waist circumference (WC) | Questionnaire | Living closer to parks/playgrounds was associated with lower BMI and waist circumference amongst school children from low-income families. |
13 | To evaluate the impact of a playground facility on park visits and physical activity engagement within the park. | QT | Frequency of use; PA levels | SOPARC; intercept interviews; objective monitoring | A well-designed playground facility can increase the number of visits to parks and PA engagement in children aged 1–12 years. |
14 | To assess whether increases in the density of parks, playgrounds and sports facilities in the surrounding areas of a school are related with improvements in school physical fitness. | QT | Density of parks, playgrounds and sports facilities; physical fitness levels | Built Environment & Health Research Group (Columbia Un) FITNESSGRAM Test | No clear patterns of association were observed between the density of recreational resources around the school and changes in the physical condition of students. |
15 | To investigate patterns and factors related with the green space use behaviours of children aged 6–12 years and their parents. | QT/QL | Parental leisure trends; green area use | Ad-hoc questionnaire; drawing and/or writing surveys; questionnaire | Children’s use of green spaces is strongly linked to the environmental attitudes of their parents and the characteristics of their physical environment. |
16 | To examine disparities in access and quality of play areas according to socio-demographic characteristics, and examine associations between access and quality of play areas and BMI. | QT | Access to playgrounds; playground quality; gender; race/ethnicity; socioeconomic status; BMI | GIS shapefiles; ArcGIS 10.2; CPAT | Children with lower quality play areas were more likely to be overweight than children without access to play areas. There were no significant outcomes regarding access/quality and weight as a function of economic status. |
17 | To investigate park use and PA engagement, and the relationship of this with exposure to community violence | QT | Age; sex; race/ethnicity; education; injury; employment status; seasonality | Questionnaire | Users prefer parks with a variety of facilities, green spaces and walking trails. Insecurity decreased all types of PA. |
18 | To examine whether park use and PA level in children is higher in Krajicek playgrounds compared with control playgrounds. | QT | Park use; PA level | Direct observation; SOPLAY | The study shows that children’s park use and PA level are higher in Krajicek playgrounds than in control playgrounds in disadvantaged neighbourhoods. |
19 | To compare park use and PA outcomes between a renovated playground that is adapted to the community and non-renovated parks. | QT | Park use and PA level; neighbourhood safety; distance to the park and climate | SOPARC | Involving the community in playground renovations can have a positive effect on park use and the intensity of the PA engaged in. |
20 | To assess the impact of playground safety and distance as part of the built environment on increased youth PA. | QT | Safety; maintenance; distance | Surveys; Google Earth | Disparities in playground safety and proximity reveal an opportunity to develop community-wide playground interventions for PA in youth. |
21 | To examine whether the particular design characteristics of parks facilitate greater PA intensity amongst young people. | QT | Park characteristics; PA level; MET minutes; age; sex | GPS receivers; accelerometers; GIS database | Park characteristics such as the complexity of surfaces, proximity to sports areas, playgrounds and paths allow for higher levels of PA. |
22 | To evaluate park use and PA levels of users of three new bicycle parks. | QT/QL | Park use; PA levels; time zone | SOPARC; on-site interviews | Park use and active participation of children and adolescents increased, particularly amongst boys; 63% of users were active during use. |
23 | To determine seasonal variation in park visits, the choice of services and PA intensity. | QT | Park use; age; sex, PA levels; heat sensation | SOPARC | Less total PA was engaged in during winter than during other seasons. |
24 | To examine the effects of an intervention based on the removal of seating on the time spent using the park and PA improvement. | QT | Park use; age; sex; PA levels | SOPARC | Adults were more physically active. Curtailing of the time made available to children to use and play in the park was reduced. |
25 | To assess the use of new pocket parks in low-income neighbourhoods. | QT | Age; sex; race/ethnicity; PA levels; park characteristics. | SOPARC; surveys | Pocket parks are perceived to be attractive and safe destinations and may increase PA by encouraging families to walk there with their children. |
26 | To uncover the main characteristics influencing the choice of playgrounds in African-American children and their parents. | QT | Park characteristics; park use | Survey; adapted SOPARC | Outcomes verified correlations between park suitability and provision of good quality and safe equipment. |
27 | To identify the most used areas of the park for PA and PA levels in children in 45 parks in a south-eastern community. | QT | Park use, Age; sex; race/ethnicity; PA level | SOPARC | The swing areas was the most used active setting by children, regardless of ethnicity. |
28 | To examine the influence of park or playground characteristics such as the amount, type and safety of equipment on park/playground use and PA level. | QT | Park characteristics; socioeconomic status; PA level | Environmental Assessment of Public Recreation Space Systematic Observation | The total number of features or amenities in the park/playground is associated with the use of renovated parks/playgrounds but not with PA levels. |
29 | To examine the PA levels in children in neighbourhood parks. | QT | Sex; race/ethnicity; neighbourhood income level; amount of shade; time of day; organised activity; park activity areas | SOPLAY; | Children’s PA engagement in parks in high-income neighbourhoods was higher than that of those in lower income areas. To increase PA, parks should provide courts, playgrounds and free play areas. |
30 | To identify the proportion of children’s PA that occurs in public parks with play areas. | QT | PA level; height; weight | Actigraph GT1M; Globalsat DG-100 | A low proportion of children’s PA activity engagement occurs in parks with play areas (only 2% of total daily PA). |
31 | To assess whether the existing offer of traditional parks is adapted to the needs and preferences of different users. | QL/QT | Park characteristics; use and preferences; play areas and equipment | Questionnaire; interview; observation; GIS mapping technique | Users have different needs and preferences as a function of their age. The planning and management of playgrounds should take greater consideration of the needs of users and the local context. |
Park Type | Number of Papers | Percentage | ||
---|---|---|---|---|
Parks (urban, traditional) | 10 | 32.25% | ||
Recreational parks (playground) | 11 | 35.48% | ||
Other | Remodelled | 2 | 10 | 32.25% |
Innovative | 2 | |||
Sustainable park | 1 | |||
Contemporary | 1 | |||
Special: Bike park, pocket park, adventure park, Trojan Park | 4 |
Socioeconomic Context: | Number of Papers | Percentage | ||
---|---|---|---|---|
All: Low, medium, high | 9 | 29.03% | ||
High | Medium-high | 5 | 6 | 19.35% |
Medium | 1 | |||
Low | Medium-low | 2 | 12 | 38.70% |
Low | 10 | |||
Unspecified | 4 | 12.90% |
Variables | Number of Papers to Include This Variable | Percentage | |
---|---|---|---|
Pertaining to features of the park | Features/equipment/quality/design | 14 | 45.16% |
Security | 6 | 19.35% | |
Access/location/distance | 8 | 25.80% | |
Pertaining to park use | Frequency/number/density | 15 | 48.38% |
Activity zones | 5 | 16.12% | |
Time of day | 2 | 6.45% | |
Weather | 2 | 6.45% | |
Pertaining to PA | PA time | 1 | 3.22% |
PA type | 8 | 25.80% | |
PA intensity/PA level | 17 | 54.83% | |
Motor skills | 2 | 6.45% | |
Pertaining to users | Age/gender | 13 | 41.93% |
Ethnicity | 7 | 22.58% | |
Obesity/height | 4 | 12.90% | |
Social interaction | 3 | 9.67% | |
Socioeconomic status | 5 | 16.12% |
Instrument | Number of Papers | Percentage |
---|---|---|
Surveys | 6 | 19.35% |
Questionnaires (ad hoc and validated) | 9 | 29.03% |
Interviews | 8 | 25.80% |
Bespoke pen and paper audit tool | 1 | 3.22% |
Environmental Assessment of Public Recreation Space Systematic Observation (EAPRS) | 1 | 3.22% |
Field observation | 2 | 6.45% |
SOPARC | 12 | 38.70% |
SOFIT | 1 | 3.22% |
SOPLAY | 2 | 6.45% |
GOOGLE MAP | 2 | 6.45% |
Mapping GSI | 1 | 3.22% |
GOOGLE EARTH | 1 | 3.22% |
ArcGIS 10.2; 9.0 | 2 | 6.45% |
RECEPTOR GPS (DNR Garmin Foretrex 201) | 1 | 3.22% |
Global Positioning System: Globals DG-100 | 1 | 3.22% |
TRAIL MONITORS | 1 | 3.22% |
MET | 2 | 6.45% |
ActiGraph accelerometers GT1M | 3 | 9.67% |
TEST FITNESSGRAM | 1 | 3.22% |
Study Categories | Number of Papers | Percentage | Objectives | Number of Papers |
---|---|---|---|---|
Related to DESIGN | 26 | 83.87% | Park characteristics/park design and use/PA increases | 12 |
Comparison: traditional vs. renovated parks | 2 | |||
Remodelling/intervention effects | 5 | |||
Impact of special parks | 2 | |||
Distance and park use Access and obesity | 3 | |||
Security and access PA level and violence | 2 | |||
OTHER not related to design | 5 | 16.12% | PA engagement in parks | 1 |
Park use as a function of seasonal effects | 1 | |||
Parental perceptions regarding their children’s motor development and the reduction of obesity | 1 | |||
The construction of intergenerational relationships as a result of park use | 1 | |||
The relationship between the number of parks and obesity | 1 |
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Padial-Ruz, R.; Puga-González, M.E.; Céspedes-Jiménez, Á.; Cabello-Manrique, D. Determining Factors in the Use of Urban Parks That Influence the Practice of Physical Activity in Children: A Systematic Review. Int. J. Environ. Res. Public Health 2021, 18, 3648. https://doi.org/10.3390/ijerph18073648
Padial-Ruz R, Puga-González ME, Céspedes-Jiménez Á, Cabello-Manrique D. Determining Factors in the Use of Urban Parks That Influence the Practice of Physical Activity in Children: A Systematic Review. International Journal of Environmental Research and Public Health. 2021; 18(7):3648. https://doi.org/10.3390/ijerph18073648
Chicago/Turabian StylePadial-Ruz, Rosario, Mª Esther Puga-González, Álvaro Céspedes-Jiménez, and David Cabello-Manrique. 2021. "Determining Factors in the Use of Urban Parks That Influence the Practice of Physical Activity in Children: A Systematic Review" International Journal of Environmental Research and Public Health 18, no. 7: 3648. https://doi.org/10.3390/ijerph18073648
APA StylePadial-Ruz, R., Puga-González, M. E., Céspedes-Jiménez, Á., & Cabello-Manrique, D. (2021). Determining Factors in the Use of Urban Parks That Influence the Practice of Physical Activity in Children: A Systematic Review. International Journal of Environmental Research and Public Health, 18(7), 3648. https://doi.org/10.3390/ijerph18073648