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Bower M, Kent J, Patulny R, Green O, McGrath L, Teesson L, Jamalishahni T, Sandison H, Rugel E. The impact of the built environment on loneliness: A systematic review and narrative synthesis. Health Place 2023; 79:102962. [PMID: 36623467 DOI: 10.1016/j.healthplace.2022.102962] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/15/2022] [Accepted: 12/19/2022] [Indexed: 01/09/2023]
Abstract
Loneliness is a pressing public health issue. Although quintessentially individual, it is shaped by wider environmental, cultural, socio-economic, and political circumstances. Using a systematic review methodology, this paper draws on interdisciplinary research to conceptualise the relationship between the built environment and loneliness. We present a narrative synthesis of 57 relevant studies to characterise the body of evidence and highlight specific built-environment elements. Our findings demonstrate the need for further conceptual and empirical explorations of the multifaceted ways in which built environments can prevent loneliness, supporting calls for investment into this public-health approach.
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Affiliation(s)
- Marlee Bower
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Australia
| | - Jennifer Kent
- The University of Sydney School of Architecture, Design, and Planning, The University of Sydney, Australia.
| | - Roger Patulny
- Faculty of the Arts, Social Sciences, and Humanities, University of Wollongong, Australia
| | - Olivia Green
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Australia
| | - Laura McGrath
- Faculty of Arts and Social Sciences, The Open University, Milton Keynes, England; UK
| | - Lily Teesson
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Australia
| | | | - Hannah Sandison
- The University of Sydney School of Architecture, Design, and Planning, The University of Sydney, Australia
| | - Emily Rugel
- Westmead Applied Research Centre, The University of Sydney, Australia
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Munot S, Rugel E, Bauman A, Chow C, Redfern J. FirstCPR Process Evaluation: Recruitment and Engagement in a Community-Based Intervention Aimed at Training and Willingness to Respond to Cardiac Arrest in the Community. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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van den Bosch M, Brauer M, Burnett R, Davies HW, Davis Z, Guhn M, Jarvis I, Nesbitt L, Oberlander T, Rugel E, Sbihi H, Su JG, Jerrett M. Born to be Wise: a population registry data linkage protocol to assess the impact of modifiable early-life environmental exposures on the health and development of children. BMJ Open 2018; 8:e026954. [PMID: 30552286 PMCID: PMC6303566 DOI: 10.1136/bmjopen-2018-026954] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
INTRODUCTION Deficiencies in childhood development is a major global issue and inequalities are large. The influence of environmental exposures on childhood development is currently insufficiently explored. This project will analyse the impact of various modifiable early life environmental exposures on different dimensions of childhood development. METHODS Born to be Wise will study a Canadian cohort of approximately 34 000 children who have completed an early development test at the age of 5. Land use regression models of air pollution and spatially defined noise models will be linked to geocoded data on early development to analyse any harmful effects of these exposures. The potentially beneficial effect on early development of early life exposure to natural environments, as measured by fine-grained remote sensing data and various land use indexes, will also be explored. The project will use data linkages and analyse overall and age-specific impact, including variability depending on cumulative exposure by assigning time-weighted exposure estimates and by studying subsamples who have changed residence and exposure. Potentially moderating effects of natural environments on air pollution or noise exposures will be studied by mediation analyses. A matched case-control design will be applied to study moderating effects of natural environments on the association between low socioeconomic status and early development. The main statistical approach will be mixed effects models, applying a specific software to deal with multilevel random effects of nested data. Extensive confounding control will be achieved by including data on a range of detailed health and sociodemographic variables. ETHICS AND DISSEMINATION The study protocol has been ethically approved by the Behavioural Research Ethics Board at the University of British Columbia. The findings will be published in peer-reviewed journals and presented at scholarly conferences. Through stakeholder engagement, the results will also reach policy and a broader audience.
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Affiliation(s)
- Matilda van den Bosch
- The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
- The Department of Forest and Conservation Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael Brauer
- The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Hugh W Davies
- The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Zoe Davis
- The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Martin Guhn
- The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Ingrid Jarvis
- The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Lorien Nesbitt
- The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Tim Oberlander
- The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Emily Rugel
- The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Hind Sbihi
- The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Jason G Su
- Department of Statistics, University of California, Berkeley, California, USA
| | - Michael Jerrett
- Fielding School of Public Health, University of California, Los Angeles, California, USA
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