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Neighbourhood effects on health: Does it matter where you draw the boundaries?
Abstract
There has been considerable discussion in health geography and related areas of neighbourhood effects on health: the idea that people's health in one geographical area may be influenced not only by the composition of that area's population, but also by the area's geographical context. Hence, the healthiness or otherwise of the neighbourhood may have an important effect on local people's health. Although neighbourhoods and their boundaries are sometimes obvious to local residents, it is more common to find considerable disagreement on the size and contents of a neighbourhood. In this paper, we use British census Enumeration Districts as building blocks to construct alternative zonal systems, and experiment to see if neighbourhoods defined in different ways have similar implications for health. The well known modifiable areal unit problem shows that analytical conclusions may differ substantially according to how data are aggregated. Boundaries can be drawn to maximize equality of size, compactness of shape, homogeneity in social composition, accordance with 'natural' boundaries, and probably many other factors; which of these criteria are more effective in defining zones relevant to health? One conclusion is that the effect of neighbourhood conditions should be looked at using several different ways to define neighbourhoods, and that the size and composition of these neighbourhoods may be different in different parts of a study area.
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“the HIV/AIDS pandemic, which was observed to first affect relatively wealthy individuals until they quickly took up effective health interventions, which inverted its concentration to poor and marginalized populations [59].”
From Social epidemiology of urban COVID-19 inequalities in Latin America and Canada (2024) · cites this paper as [59]
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Variations in Objective Quality of Urban Life Across a City Region: The Case of Phoenix
Guhathakurta, S., & Cao, Y. (2011) · doi:10.1007/978-94-007-1742-8_6 · Cited by 11
Zhu, Y.-F., Hill, D., Zhou, Y., & Larsen, D. A. (2024) · Science of the Total Environment · doi:10.1016/j.scitotenv.2024.177676 · Cited by 10
Roper, J., Ng, M., & Pettit, C. (2023) · Journal of Transport and Land Use · doi:10.5198/jtlu.2023.2308 · Cited by 10
“Sometimes neighborhood boundaries are used, but defining neighborhoods is a classic example of the modifiable areal unit problem (Flowerdew et al., 2008), and perceived neighborhoods vary widely (Jenks & Dempsey, 2007).”
BackgroundMeal frequency and vegetable intake does not predict the development of frailty in older adults
Johannesson, J., Rothenberg, E. M., Gustafsson, S., & Slinde, F. (2018) · Nutrition and Health · doi:10.1177/0260106018815224 · Cited by 10
Hedefalk, F., Pantazatou, K., Quaranta, L., & Harrie, L. (2018) · Spatial Demography · doi:10.1007/s40980-017-0039-7 · Cited by 10
“Several studies have shown the effects of spatial resolution on the aggregation of synthetic point data (e.g., Kang et al. 2014) and real data (e.g., Flowerdew et al. 2008).”
BackgroundNawaro, J., Gianquintieri, L., Pagliosa, A., Sechi, G., & Caiani, E. (2024) · Population and environment · doi:10.1007/s11111-024-00466-3 · Cited by 9
“Therefore, the NIL application may exemplify the Modifiable Areal Unit Problem (Flowerdew et al., 2008) in relation to socio-urban features and CV vulnerability which indeed did not differ significantly across clusters.”
Spoelder, M., Schoofs, M. C. A., Raaphorst, K., Lakerveld, J., Wagtendonk, A. J., Hartman, Y., van der Krabben, E., Hopman, M. T. E., & Thijssen, D. H. J. (2023) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-023-01512-3 · Cited by 10
“Therefore, we were able to reduce the bias of residential self-selection often reported in cross-sectional observational studies [15, 17, 47–49].”
MethodExploring the Spatial Relative Risk of COVID-19 in Berlin-Neukölln
Lambio, C., Schmitz, T., Elson, R., Butler, J., Roth, A., Feller, S., Savaskan, N., & Lakes, T. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20105830 · Cited by 9
A method for measuring spatial effects on socioeconomic inequalities using the concentration index
Kim, S. W., Haghparast-Bidgoli, H., Skordis-Worrall, J., Batura, N., & Petrou, S. (2020) · International Journal for Equity in Health · doi:10.1186/s12939-019-1080-5 · Cited by 9
“The definition of the neighbourhood is determined at the cluster level due to data availability [63].”
BackgroundEmpirical Zoning Distributions for Small Area Data
Burden, S., & Steel, D. (2016) · doi:10.1111/gean.12104 · Cited by 9
Selecting Spatial Scale of Covariates in Regression Models of Environmental Exposures
Grant, L. P., Gennings, C., & Wheeler, D. (2015) · Cancer Informatics · doi:10.4137/cin.s17302 · Cited by 9
Plantinga, L., Kim, M., Goetz, M., Kleinbaum, D., Mcclellan, W., & Patzer, R. (2014) · American Journal of Nephrology · doi:10.1159/000358067 · Cited by 9
“However, even with census tracts, the true impact on estimated effects by how neighborhood boundaries are drawn (the “modifiable areal unit problem”) remains unknown [34, 35].”
BackgroundThe neighbourhood effect on mental well-being in the Global South
Roy, S., & Sowgat, T. (2024) · Cities & Health · doi:10.1080/23748834.2024.2303565 · Cited by 8
“Community attachment, social unity and close relationships improve mental health since people feel mentally secure and safe (Sampson and Groves, 1989, Flowerdew et al .”
Linking Individuals to Areas: Protecting Confidentiality While Preserving Research Utility
Norman, P. D., Colbert, J. L., & Exeter, D. (2023) · Spatial Demography · doi:10.1007/s40980-023-00121-9 · Cited by 8
“The ‘Modifiable Areal Unit Problem’ (MAUP) warns that different conclusions may be drawn depending on which geographical zones are used in a study (Flowerdew et al., 2008; Openshaw, 1981).”
BackgroundPerceptions of control over different causes of death and the accuracy of risk estimations
Brown, R., Sillence, E., & Pepper, G. V. (2023) · Journal of public health · doi:10.1007/s10389-023-01910-8 · Cited by 8
“The topography of an area, and whether residential areas are within walking distance of essential services is likely to influence aerobic activity (Flowerdew et al. 2008).”
Neighborhood and Child Development at Age Five: A UK–US Comparison
Buttaro, A., Gambaro, L., Joshi, H. E., & Lennon, M. C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph181910435 · Cited by 8
Amegbor, P. M., Yankey, O., Davies, M., & Sabel, C. E. (2021) · GeoJournal · doi:10.1007/s10708-021-10466-7 · Cited by 11
Self-citationKim, M. H., Foverskov, E., Frøslev, T., White, J. S., Glymour, M., Hainmueller, J., Pedersen, L., Sørensen, H., & Hamad, R. (2022) · SSM: Population Health · doi:10.1016/j.ssmph.2022.101312 · Cited by 7
“Fourth, studies have shown that estimates of neighborhood effects may be sensitive to how neighborhood boundaries are defined (Flowerdew, Manley, & Sabel, 2008; Jakobsen, 2021; Lund, 2018).”
Development of a biking index for measuring Mediterranean cities mobility
Ros-McDonnell, L., de-la-Fuente, M., Ros-McDonnell, D., & Cardós, M. (2020) · doi:10.4995/ijpme.2020.10834 · Cited by 7
“physical activity, with findings that people who live in more walkable neighbourhoods walk more, have lower rates of obesity and chronic disease, and travel less by car (Ewing et al., 2003 & 2006; Pucher & Dijkstra, 2003; Forsyth et al, 2007; Flowerdew et al., 2008; Dill, 2009; Frank et al., 2009).”
BackgroundIndicadores de desigualdade para financiamento urbano de cidades saudáveis
Leite, C., Acosta, C., Herling, T., Barrozo, L., & Saldiva, P. (2019) · Estudos Avançados · doi:10.1590/s0103-4014.2019.3397.003 · Cited by 7
Ghenadenik, A. E., Gauvin, L., & Frohlich, K. (2019) · Preventive Medicine · doi:10.1016/j.ypmed.2019.03.003 · Cited by 7
Metadata
- Authors
- Flowerdew, R., Manley, D. J., & Sabel, C. E.
- Affiliations
- University of St Andrews (GB)
- Imperial College London (GB)
- Corresponding author
- Flowerdew, Robin
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 2008-03
- Volume
- 66
- Issue
- 6
- Pages
- 1241-1255
- ISSN
- 0277-9536 (ISSN-L)
- OpenAlex
- W1967823327
- Cited by
- 331
- References
- 0
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 14 · 2023: 13 · 2022: 15 · 2021: 20 · 2020: 19 · 2019: 22 · 2018: 20 · 2017: 17 · 2016: 34 · 2015: 17 · 2014: 25 · 2013: 26 · 2012: 21
- FWCI
- 17.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social Science & Medicine (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Explore Bristol Research (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Funders
- Joint Information Systems Committee
- Economic and Social Research Council
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Sociology and Political Science › Urban, Neighborhood, and Segregation Studies
- Social Sciences › Transportation › Urban Transport and Accessibility
- Keywords
- neighbourhood boundaries, modifiable areal unit problem, spatial aggregation, neighborhood composition, geographic context, health disparities
- MeSH terms
- Data Collection, Data Interpretation, Statistical, Environment, Geography, United Kingdom, Health Services Accessibility, Health Status, Humans, Residence Characteristics, Socioeconomic Factors, Small-Area Analysis, Censuses
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