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Pontin FL, Jenneson VL, Morris MA, Clarke GP, Lomax NM. Objectively measuring the association between the built environment and physical activity: a systematic review and reporting framework. Int J Behav Nutr Phys Act 2022; 19:119. [PMID: 36104757 PMCID: PMC9476279 DOI: 10.1186/s12966-022-01352-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 08/18/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Objective measures of built environment and physical activity provide the opportunity to directly compare their relationship across different populations and spatial contexts. This systematic review synthesises the current body of knowledge and knowledge gaps around the impact of objectively measured built environment metrics on physical activity levels in adults (≥ 18 years). Additionally, this review aims to address the need for improved quality of methodological reporting to evaluate studies and improve inter-study comparability though the creation of a reporting framework.
Methods
A systematic search of the literature was conducted following the PRISMA guidelines. After abstract and full-text screening, 94 studies were included in the final review. Results were synthesised using an association matrix to show overall association between built environment and physical activity variables. Finally, the new PERFORM (’Physical and Environmental Reporting Framework for Objectively Recorded Measures’) checklist was created and applied to the included studies rating them on their reporting quality across four key areas: study design and characteristics, built environment exposures, physical activity metrics, and the association between built environment and physical activity.
Results
Studies came from 21 countries and ranged from two days to six years in duration. Accelerometers and using geographic information system (GIS) to define the spatial extent of exposure around a pre-defined geocoded location were the most popular tools to capture physical activity and built environment respectively. Ethnicity and socio-economic status of participants were generally poorly reported. Moderate-to-vigorous physical activity (MVPA) was the most common metric of physical activity used followed by walking. Commonly investigated elements of the built environment included walkability, access to parks and green space. Areas where there was a strong body of evidence for a positive or negative association between the built environment and physical activity were identified. The new PERFORM checklist was devised and poorly reported areas identified, included poor reporting of built environment data sources and poor justification of method choice.
Conclusions
This systematic review highlights key gaps in studies objectively measuring the built environment and physical activity both in terms of the breadth and quality of reporting. Broadening the variety measures of the built environment and physical activity across different demographic groups and spatial areas will grow the body and quality of evidence around built environment effect on activity behaviour. Whilst following the PERFORM reporting guidance will ensure the high quality, reproducibility, and comparability of future research.
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Petrunoff NA, Edney S, Yi NX, Dickens BL, Joel KR, Xin WN, Sia A, Leong D, van Dam RM, Cook AR, Sallis JF, Chandrabose M, Owen N, Müller-Riemenschneider F. Associations of park features with park use and park-based physical activity in an urban environment in Asia: A cross-sectional study. Health Place 2022; 75:102790. [PMID: 35316722 DOI: 10.1016/j.healthplace.2022.102790] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 03/04/2022] [Accepted: 03/10/2022] [Indexed: 12/15/2022]
Abstract
Park use is associated with health, yet our understanding of park features related to their use is limited. Singapore's parks were audited for 30 micro-features, then geospatial analysis characterized micro-features scores for parks nearest to participants' homes. Adults (3,435) reported their park use and park-based physical activity. Using linear regression models, we found living near a park with higher micro-features scores was associated with more time in parks and park-based physical activity. Specific micro-features were associated with more park time (wildlife areas, water features, forested areas, unpaved trails (2-2.6 h/month, p < 0.05)) and with physical activity in parks (water features, forested areas, large playground, open green spaces (1.8-2.2 h/month, p < 0.05)). These findings could inform parks planning to support population-health.
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Affiliation(s)
- Nicholas A Petrunoff
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
| | - Sarah Edney
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Ng Xian Yi
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Borame L Dickens
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Koo Ruihan Joel
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Wang Nan Xin
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Angelia Sia
- Centre for Urban Greenery & Ecology, National Parks Board Singapore, Singapore Botanic Gardens, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Duncan Leong
- GIS Hub, National Parks Board Singapore, Singapore Botanic Gardens, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Nutrition and Department of Epidemiology, Harvard T.H. Chan School of Public Health, United States
| | - Alex R Cook
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - James F Sallis
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Australia; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Manoj Chandrabose
- Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia; Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia
| | - Neville Owen
- Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia; Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Digital Health Center, Berlin Institute of Health, Germany
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Katapally TR, Bhawra J, Patel P. A systematic review of the evolution of GPS use in active living research: A state of the evidence for research, policy, and practice. Health Place 2020; 66:102453. [PMID: 33137684 DOI: 10.1016/j.healthplace.2020.102453] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 09/15/2020] [Accepted: 09/18/2020] [Indexed: 10/23/2022]
Abstract
This is the first systematic review to comprehensively capture Global Positioning Systems' (GPS) utilization in active living research by investigating the influence of physical contexts and social environment on all intensities of physical activity and sedentary behavior among all age groups. An extensive search of peer-reviewed literature was conducted using six databases. Out of 2026 articles identified, 129 studies met the inclusion criteria. After describing the evolution of GPS use across four themes (study designs and methods, physical contexts and social environment, active transportation, and behaviors), evidence-based recommendations for active living research, policy, and practice were generated.
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Affiliation(s)
- Tarun R Katapally
- Johnson Shoyama Graduate School of Public Policy, University of Regina, Regina, Saskatchewan, Canada; Johnson Shoyama Graduate School of Public Policy, University of Saskatchewan, Saskatoon, Saskatchewan, Canada; Department of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
| | - Jasmin Bhawra
- School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada
| | - Pinal Patel
- Johnson Shoyama Graduate School of Public Policy, University of Regina, Regina, Saskatchewan, Canada
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