| Tappe et al., 2013 18 |
Cross-sectional |
724 children aged 6 to 11 years old |
Subjective: |
Lower street connectivity and better neighborhood aesthetics increase child activity within neighborhoods. Reported safety and walk/cycle facilities boost child activity in public recreation spaces |
| United States |
Days of the week in which participants reported 60+minutes daily |
| Children’s physical activity and parents’ perception of the neighborhood environment: neighborhood impact on kids study |
| Carlson et al., 2015 19 |
Cross-sectional |
690 adolescents with an average age of 14 years |
Objective: |
Neighborhood walkability was positively related to walking and bicycling and negatively related to vehicle time |
| United States |
Accelerometers |
| Association between neighborhood walkability and GPS-measured walking, bicycling and vehicle time in adolescents |
| Kasehagen et al., 2012 20 |
Cross-sectional |
45,392 youth aged 10-17 years old |
Subjective: |
This analysis identified no association between youths’ minimum physical activity attainment and neighborhood characteristics in unstratified models |
| United States |
Days of the week in which adolescents practiced physical activity for at least 20 minutes |
| Associations Between Neighborhood Characteristics and Physical Activity Among Youth Within Rural–Urban Commuting Areas in the US |
| Galvez et al., 2013 21 |
Cross-sectional |
324 children aged at least 6 years old |
Subjective and Objective: |
Availability of select physical activity resources was associated with reported physical activity levels but not with objective measures of physical activity |
| United States |
MET-hours of physical activity per week and steps per day |
| Associations between neighborhood resources and physical activity in inner city minority children |
| Muthuri et al., 2016 22 |
Cross-sectional |
563 children aged 9-11 years old |
Objective: |
Parental perception of positive neighborhood social cohesion, positive environs and connectivity, and negative child safety concerns, were associated with child physical activity |
| Kenya |
Accelerometers |
| Associations Between Parental Perceptions of the Neighborhood Environment and Childhood Physical Activity: Results from ISCOLE-Kenya |
| McGrath et al., 2016 23 |
Cross-sectional |
227 children with an average age of 9 years |
Objective: Accelerometers |
Neighborhoods with greener spaces, attractive streets, or low-walkability streets showed a moderate positive association on non-school day moderate-to-vigorous steps |
| New Zealand |
| Associations Between the Neighborhood Environment and Moderate-to-Vigorous Walking in New Zealand Children: Findings from the URBAN Study |
| Hume et al., 2007 24 |
Cross-sectional |
280 children aged 10 years old |
Objective: Accelerometers |
Multiple linear regression analyses showed positive association between walking frequency and number of accessible destinations in the neighborhood among boys. Among girls, neighborhoods that were easy to walk/cycle around and with lots of graffiti were positively associated with walking frequency |
| Australia |
| Associations of children’s perceived neighborhood environments with walking and physical activity |
| Hinckson et al., 2017 25 |
Cross-sectional |
524 adolescents with an average age of 16 years |
Objective: |
There was a positive association between walkability and physical activity |
| New Zealand |
Accelerometers |
| Associations of the perceived and objective neighborhood environment with physical activity and sedentary time in New Zealand adolescents |
| Evenson et al., 2010 26 |
Longitudinal |
847 adolescents with an average age of 12 years |
Objective: |
There was no positive association between walkability and physical activity |
| United States |
Accelerometers |
| Examination of perceived neighborhood characteristics and transportation on changes in physical activity and sedentary behavior: The Trial of Activity in Adolescent Girls |
| Franzini et al., 2009 27 |
Cross-sectional |
650 children with an average age of 11 years |
Subjective: |
Social environment was positively associated with several measures of physical activity |
| United States |
Vigorous and moderate exercise, physical education or gym class, sports participation, physically active free-time activities, participation in other physical activity or lessons, and walking or biking to school |
| Influences of Physical and Social Neighborhood Environments on Children’s Physical Activity and Obesity |
| Sallis et al., 2018 28 |
Cross-sectional |
928 adolescents aged 12-16 years old |
Objective: |
Walkability was positively and significantly related to objectively measured physical activity |
| United States |
Accelerometers |
| Neighborhood built environment and socioeconomic status in relation to physical activity, sedentary behavior, and weight status of adolescents |
| Goon et al., 2020 29 |
Cross-sectional |
816 children aged 9-14 years old |
Objective: |
Children’s perceived availability of parks and sidewalks predicted a higher accumulation of moderate-to-vigorous physical activity |
| Canada |
Accelerometers |
| Neighborhood Built Environment Measures and Association with Physical Activity and Sedentary Time in 9–14-Year-Old Children in Saskatoon, Canada |
| Huang et al., 2020 30 |
Cross-sectional |
16,402 children aged 5-10 years |
Objective: |
Higher levels of LUM and pedestrian-friendly streets were associated with greater numbers of children in parks and higher moderate-to-vigorous physical activity across all three groups |
| United States |
System for Observing Play and Recreation in Communities (SOPARC) |
| Neighborhood characteristics associated with park use and park-based physical activity among children in low-income diverse neighborhoods in New York City |
| Huang et al., 2010 31 |
Cross-sectional |
726 children aged 11-12 years old |
Subjective: |
Accessibility to facilities had a significant impact on the children’s physical activity |
| Taiwan |
MET-h/week and various physical activities by area |
| Neighborhood environment and physical activity among Urban and Rural Schoolchildren in Taiwan |
| Weimann et al., 2015 32 |
Cross-sectional |
205 children aged 4-11 years old |
Objective: |
Children were more physically active in areas with intermediate access to neighborhood resources for physical activity compared to areas with poor access |
| Sweden |
Accelerometers |
| Neighborhood environment and physical activity among young children: a cross-sectional study from Sweden |
| Dias et al., 2020 33 |
Cross-sectional |
1,130 school students aged 14-20 years old |
Subjective: |
Leisure walking was positively associated environmental factors |
| Brazil |
Self-reported leisure walking |
| Babey et al., 2015 34 |
Cross-sectional |
3,638 adolescents aged 12-17 years old |
Subjective: |
Adolescents with a park within walking distance of home and those with a safe park nearby were more likely to be physically active during a park visit |
| United States |
Practice of physical activity in a park |
| Neighborhood, family and individual characteristics related to adolescent park-based physical activity |
| Grigsby-Toussaint et al., 2011 35 |
Cross-sectional |
365 children aged 2-5 years old |
Subjective: |
Higher levels of neighborhood greenness were associated with higher levels of outdoor playing time among preschool children |
| United States |
Questions about minutes that children spend on active playing, indoor quiet playing, outdoor active playing, and outdoor quiet playing |
| Where they live, how they play: Neighborhood greenness and outdoor physical activity among preschoolers |
| Markevych et al., 2016 36 |
Cross-sectional |
1,192 adolescents aged 16 years old |
Objective: |
Residing in a neighborhood with high normalized difference vegetation index was associated with 9% more leisure moderate-to-vigorous physical activity |
| Germany |
Accelerometers |
| Neighbourhood and physical activity in German adolescents: GINIplus and LISAplus |
| Datar et al., 2013 37 |
Longitudinal |
18,900 school-aged children |
Subjective: |
Children whose parents perceived their neighborhoods as unsafe watched more television and participated in less physical activity |
| United States |
Number of days per week on which the child engaged in at least 20 minutes of vigorous exercise |
| Parent perceptions of neighborhood safety and children’s physical activity, sedentary behavior, and obesity: evidence from a national longitudinal study |
| Esteban-Cornejo et al., 2016 38 |
Cross-sectional |
928 adolescents aged 12-16 years old |
Subjective: |
Parent-perceived traffic safety was positively associated with adolescents reported physical activity in the neighborhood |
| United States |
Frequency of physical activity in various locations |
| Parental and Adolescent Perceptions of Neighborhood Safety Related to Adolescents’ Physical Activity in Their Neighborhood |
| De Meester et al., 2014 39 |
Cross-sectional |
736 children aged 10-12 years old |
Subjective: |
Parental perceptions of neighborhood environmental characteristics were associated with their level of active transport and total physical activity |
| Belgium |
Questionnaire determining different types of physical activity |
| Parental perceived neighborhood attributes: associations with active transport and physical activity among 10-12 year old children and the mediating role of independent mobility |
| Zhang et al., 2021 40 |
Cross-sectional |
2,397 adolescents |
Subjective: |
There was a significant positive association between the quality of amenities and park‑based moderate‑to‑vigorous physical activity |
| Hong Kong |
Moderate-to-vigorous physical activity was measured using an observation tool for assessing physical activity in recreational places such as urban parks |
| Park environment and moderate-to-vigorous physical activity in parks among adolescents in a high-density city: the moderating role of neighbourhood income |
| Mendonça et al., 2018 41 |
Cross-sectional |
2,874 adolescents aged 14-19 years old |
Subjective: |
There was a positive association between some environmental variables and different types of exercises |
| Brazil |
Measured using questionnaires, classifying adolescents as physically active or inactive |
| Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents |
| Zhang et al., 2021 42 |
Cross-sectional |
4,027 adolescents aged 10-20 years old |
Subjective: |
There was a positive association between availability of physical activity resources and physical activity |
| Chine |
Self-reported moderate-to-vigorous physical activity |
| Psychosocial Characteristics, Perceived Neighborhood Environment, and Physical Activity Among Chinese Adolescents |
| D’Haese et al., 2014 43 |
Cross-sectional |
606 children aged 9-12 years old |
Objective: |
No univocal relation between neighborhood walkability and physical activity was found in 9-12-year-old children |
| Belgium |
Accelerometers |
| The association between objective walkability, neighborhood socio-economic status, and physical activity in Belgian children |
| Colley et al., 2019 44 |
Cross-sectional |
4,030 children aged 3-11 years old and another sample with participants aged 12- 79 years old |
Objective: |
Walkability was positively associated with accelerometer-measured moderate-to-vigorous physical activity in youth (12-17 years) |
| Canada |
Accelerometers |
| The association between walkable neighbourhoods and physical activity across the lifespan |
| Cheng et al., 2022 45 |
Cross-sectional |
3,424 participants with an average age of 19 years |
Subjective: |
One scale score increases in neighborhood walkable environmental was associated with an increase in moderate physical activity |
| China |
Questionnaire regarding physical activity using the Global Physical Activity Questionnaire |
| The relationship between neighborhood environment and physical activity in Chinese youth: a retrospective cross-sectional study |
| Mitáš et al., 2018 46 |
Cross-sectional |
2,001 adolescents with an average age of 16 years |
Objective: |
A safe neighborhood environment significantly predicts walking activities among girls |
| Poland and the Czech Republic |
Pedometers |
| The Safety of the Neighborhood Environment and Physical Activity in Czech and Polish Adolescents |
| Timperio et al., 2017 47 |
Cross-sectional and Longitudinal |
1,210 children aged 5-6 years old and 10-12 years old |
Objective: |
Some cross-sectional associations with behavior were found. Longitudinally, the cluster characterized by mixed land use and many playgrounds and sport venues was associated with less television viewing on weekends three years later |
| Australia |
Accelerometers |
| Typologies of neighbourhood environments and children’s physical activity, sedentary time and television viewing |
| Wayas et al., 2023 48 |
Cross-sectional |
143 adolescents aged 13-18 years old |
Subjective: |
The association between neighborhood walkability and physical activity was inconsistent |
| South Africa |
Measured using questionnaire validated against objectively measured physical activity |
| Association of Perceived Neighbourhood Walkability with Self-Reported Physical Activity and Body Mass Index in South African Adolescents |
| Carver et al., 2023 49 |
Cross-sectional and Longitudinal |
727 children aged 6-12 years old |
Objective: |
There were no significant total or direct effects of environmental attributes and physical activity, both in cross-sectional and longitudinal analysis |
| United States |
Accelerometers |
| Associations of home and neighborhood environments with children’s physical activity in the U.S.-based Neighborhood Impact on Kids (NIK) longitudinal cohort study |
| Bird et al., 2022 50 |
Longitudinal |
409 participants aged 8-10 years old |
Objective: |
Girls who lived in more walkable neighborhoods had 10% higher daily moderate-to-vigorous physical activity |
| Canada |
Accelerometers |
| Associations of neighborhood walkability with moderate to vigorous physical activity: an application of compositional data analysis comparing compositional and non-compositional approaches |
| de Castro et al., 2022 51 |
Cross-sectional |
1,637 participants aged 15-24 years old |
Subjective: |
Neighborhoods with attributes favorable to practice physical activity and elements of urbanization increase the chance of active behavior during leisure time among adolescents |
| Brazil |
Measured the International Physical Activity Questionnaire (IPAQ), short version |
| Perceived neighborhood characteristics and practice of physical activity among adolescents and young adults: a model with distal outcomes |
| Nakabazzi et al., 2021 52 |
Cross-sectional |
256 children aged 10-12 years |
Objective: |
There was a negative association between neighborhood and physical activity. A better perception of crime safety was associated with less Moderate-to-vigorous physical activity among boys and girls |
| Uganda |
Accelerometers |
| Parental-perceived home and neighborhood environmental correlates of accelerometer-measured physical activity among school-going children in Uganda |