The “Residential” Effect Fallacy in Neighborhood and Health Studies

Chaix, Basile; Duncan, Dustin T.; Vallée, Julie; Vernez-Moudon, Anne; Benmarhnia, Tarik; Kestens, Yan

doi:10.1097/ede.0000000000000726

Cited by 57 publications

(42 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This suggests that the residential effect fallacy may be at work in studies of home neighbourhoods, and that we need to undertake research on the relationship between the built environment and travel modes in multiple activity spaces. This is especially pertinent for understanding environmental influences on adolescents' active travel patterns, as they extend from a childhood focus on the home neighbourhood into a more adult territorial range [20]. It may also be that adolescents have more discretion in and reliance on active modes of travel when they are closer to the school environment, and away from opportunities for private vehicular travel provided by parents at home.…”

Section: Discussionmentioning

confidence: 99%

“…To our knowledge, this is the only study that has examined public transport accessibility at both home and school environments and its association with adolescents' active travel. Investigating the primary and secondary activity spaces of home and school is a key strength of this study as it addresses residential effect fallacy [20].…”

Section: Strengths and Limitationsmentioning

confidence: 99%

“…Many studies [13][14][15][16] investigate the association between the residential-and neighbourhood-level built environment and active travel. These often do not account for all built environments experienced by people through the day (such as work and school), leading to the residential effect fallacy [20]. This preoccupation with the local home neighbourhood has also been to the detriment of research on built environment characteristics that support regional travel patterns, for example the commute to work or school.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Associations between Public Transport Accessibility around Homes and Schools and Walking and Cycling among Adolescents

et al. 2020

View full text Add to dashboard Cite

Good public transport accessibility is associated with active travel, but this is under-researched among adolescents. We tested associations between public transport accessibility and active travel among school-going adolescents (12–18 years; n = 1329) from Melbourne, Australia analysing Victorian Integrated Survey of Travel and Activity data. Outcomes included main mode of transport to school and accumulating ≥20 min of active travel over the day. Low and high compared to no public transport accessibility around homes were associated with higher odds of public transport use (low (odds ratio (OR): 1.94 95% confidence interval (CI): 1.28, 2.94) high (OR: 2.86 95% CI: 1.80, 4.53)). Low and high public transport accessibility around homes were also associated with higher prevalence of achieving ≥20 min of active travel (low (prevalence ratio (PR): 1.14 95% CI: 0.97, 1.34) high (PR: 1.31 95% CI: 1.11, 1.54)) compared to none. Public transport accessibility around schools was associated with public transport use (low (OR: 2.13 95% CI: 1.40, 3.24) high (OR: 5.07 95% CI: 3.35, 7.67)) and achieving ≥20 min of active travel (low (PR: 1.18 95% CI: 1.00, 1.38) high (PR: 1.64 95% CI: 1.41, 1.90)). Positive associations were confirmed between public transport accessibility and both outcomes of active travel.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Strengths and Limitationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Associations between Public Transport Accessibility around Homes and Schools and Walking and Cycling among Adolescents

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In epidemiological terms, G = 1 29 produces homogeneous mixing conditions, which allow individuals to interact 30 indiscriminately with all other members of the population. Under this scenario, disease 31 spreading may be modeled using simple ordinary differential equations where the total 32 population N = S + I + R is split into susceptible S, infected I, and recovered R groups. 33 However, reality deviates from these conditions (G = 1) and successful models must 34 introduce heterogeneous contact networks to link the members of a population [18].…”

mentioning

confidence: 99%

“…230 5-10). The inclusion of non-residental processes is essential to the accurate 231 representation of environmental health impacts [31,32] and is achieved here through 232 interaction kernels k(x, y , t) and q(x, y , t). While we used a constant disease 233 parameter, the representation of local and remote environmental conditions can be 234 further refined by assigning full spatial dependence to transmission parameters so that 235 β = β(x, y ,x, t).…”

mentioning

confidence: 99%

Understanding the role of urban design in disease spreading

Brizuela

García-Chan

Pulido

et al. 2019

Preprint

View full text Add to dashboard Cite

Cities are complex systems whose characteristics impact the health of people who live in them. Nonetheless, urban determinants of health often vary within spatial scales smaller than the resolution of epidemiological datasets. Thus, as cities expand and their inequalities grow, the development of theoretical frameworks that explain health at the neighborhood level is becoming increasingly critical. To this end, we developed a methodology that uses census data to introduce urban geography as a leading-order predictor in the spread of influenza-like pathogens. Here, we demonstrate our framework using neighborhood-level census data for Guadalajara (GDL, Western Mexico). Our simulations were calibrated using weekly hospitalization data from the 2009 A/H1N1 influenza pandemic and show that daily mobility patterns drive neighborhood-level variations in the basic reproduction number R 0 , which in turn give rise to robust spatiotemporal patterns in the spread of disease. To generalize our results, we ran simulations in hypothetical cities with the same population, area, schools and businesses as GDL but different land use zoning. Our results demonstrate that the agglomeration of daily activities can largely influence the growth rate, size and timing of urban epidemics. Overall, these findings support the view that cities can be redesigned to limit the geographic scope of influenza-like outbreaks and provide a general mathematical framework to study the mechanisms by which local and remote health consequences result from characteristics of the physical environment. Introduction 1 Empirical studies have identified inter-city variations in the timing, intensity and 2 severity of influenza-like outbreaks [1-4]. Aiming to understand the mechanisms 3 through which city characteristics yield such health consequences, epidemiologists have 4 resourced to a variety of methods. Epidemiological data reveal compelling statistical 5 correlations, but do not resolve intra-city variations in health that are driven by lifestyle 6 inequalities at the neighborhood level [2, 4-6]. In contrast, agent-based computational 7 models use massive mobility datasets to recreate the behavior of individuals as they 8 September 11, 2019 1/15interact and spread infections [7][8][9][10][11][12]. Even though this approach allows for 9 household-level analyses, its elevated complexity obscures relationships between model 10 parameters and their health impacts, making it inadequate for the development of 11 general strategies in public health [13]. Furthermore, agent-based simulations are costly 12 and the information necessary to calibrate them is not openly available for most of the 13 world's cities. Thus, despite the fact that epidemics have the potential to be seeded 14 anywhere, these intricate models have been overwhelmingly applied to populations in 15 the developed world. Meanwhile, the fundamental mechanisms that drive health 16 inequalities within metropolitan areas remain elusive. 17Urban design determines the densities and relative locations o...

show abstract

A Systematic Review of Neighborhood-Level Influences on HIV Vulnerability

et al. 2021

View full text Add to dashboard Cite

A better understanding of the social-structural factors that influence HIV vulnerability is crucial to achieve the goal of ending the HIV epidemic by 2030. Given the role of neighborhoods in HIV outcomes, synthesis of findings from such research is key to inform efforts toward HIV eradication. We conducted a systematic review to examine the relationship between neighborhood-level factors (e.g., poverty) and HIV vulnerability (via sexual behaviors and substance use). We searched six electronic databases for studies published from January 1, 2007 through November 30, 2017 (PROSPERO CRD42018084384). We also mapped the studies’ geographic distribution to determine whether they aligned with high HIV prevalence areas and/or the “Ending the HIV Epidemic: A Plan for the United States”. Fifty-five articles met inclusion criteria. Neighborhood disadvantage, whether measured objectively or subjectively, is one of the most robust correlates of HIV vulnerability. Tests of associations more consistently documented a relationship between neighborhood-level factors and drug use than sexual risk behaviors. There was limited geographic distribution of the studies, with a paucity of research in several counties and states where HIV incidence/prevalence is a concern. Neighborhood influences on HIV vulnerability are the consequence of centuries-old laws, policies and practices that maintain racialized inequities (e.g., racial residential segregation, inequitable urban housing policies). We will not eradicate HIV without multi-level, neighborhood-based approaches to undo these injustices. Our findings inform future research, interventions and policies.

show abstract

The “Residential” Effect Fallacy in Neighborhood and Health Studies

Abstract: Commonly estimated residential intervention-outcome associations substantially overestimate true effects. Our somewhat paradoxical conclusion is that to estimate residential effects, investigators critically need information on nonresidential places visited.

Cited by 57 publications

References 37 publications

Associations between Public Transport Accessibility around Homes and Schools and Walking and Cycling among Adolescents

Associations between Public Transport Accessibility around Homes and Schools and Walking and Cycling among Adolescents

Understanding the role of urban design in disease spreading

A Systematic Review of Neighborhood-Level Influences on HIV Vulnerability

Contact Info

Product

Resources

About