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How and Why Do Neighbourhood Environments Affect Population Mental Health?

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Health".

Deadline for manuscript submissions: closed (31 August 2025) | Viewed by 1637

Special Issue Editor

Special Issue Information

Dear Colleagues,

The Special Issue will address the influence of neighbourhood characteristics and urban settings on mental health and illness, given the extensive evidence of such contextual effects. Different themes that may be relevant include how neighbourhoods and urbanicity are defined (e.g., is urbanicity simply a question of population density?) and the mechanisms through which contextual factors may impact the development of mental illnesses. Adequate characterisation of urbanicity has been found to be an issue in many studies. We, thus, attempt to answer the following questions: Can urbanicity be regarded as having a causal influence on mental health, what methods might be used to establish this influence, and how may it create an adverse environment for individuals with some psychiatric conditions? Biopsychosocial mechanisms (e.g. trauma, cortical thickness, and epigenetic changes) are examples of important factors that may lead to the development of psychopathology. However, much uncertainty exists with regard to how these factors have causal effects. In addition, the protective factor of living in certain neighbourhoods that promote resiliency have not been widely explored.

With regard to the broader literature regarding neighbourhood’s effects on mental health, how do other neighbourhood characteristics (e.g. deprivation, social fragmentation) moderate or mediate the effect of urbanicity? Regarding the geographic patterning of mental illness, first studied by Faris and Dunham, how far does urbanicity explain spatial clustering in such illnesses? The differential impacts of urbanicity between different conditions (e.g. depression versus psychosis) or between socio-demographic groups are also of interest—for example, is the effect of urbanicity enhanced or lessened for particular social and ethnic groups? Also, how do protective contextual mechanisms (e.g. ethnic density effects) counteract urbanicity? International studies (e.g., from LMIC countries) are also of interest, as the evidence base is biased towards developed countries. Health outcomes that are relevant (in terms of their association with urbanicity) extend beyond diagnosed psychiatric conditions per se, for example, psychological distress, attempted suicide, etc.

Prof. Dr. Peter Congdon
Guest Editor

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Keywords

  • mental health
  • urbanicity
  • psychosis
  • neighbourhood
  • biopsychosocial

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Published Papers (2 papers)

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Research

19 pages, 1414 KB  
Article
Impacts of Social Environments on Neighborhood Depression Incidence: Fully Accounting for Spatial Effects
by Peter Congdon and Esmail Abdul-Fattah
Int. J. Environ. Res. Public Health 2026, 23(2), 247; https://doi.org/10.3390/ijerph23020247 - 16 Feb 2026
Viewed by 348
Abstract
Neighborhood variations in depression, an important aspect of the overall mental health burden, have been linked both to environmental context (e.g., area crime, neighborhood cohesion), and to area socio-demographic composition. Previous models seeking to explain such spatial variations in mental health, such as [...] Read more.
Neighborhood variations in depression, an important aspect of the overall mental health burden, have been linked both to environmental context (e.g., area crime, neighborhood cohesion), and to area socio-demographic composition. Previous models seeking to explain such spatial variations in mental health, such as those based on Bayesian disease mapping, follow a standard approach defined by: spatially stationary effects of area predictors; predictor effects neglecting potential spatial spillover; and a spatially structured residual to account for unmodelled spatial dependencies. In a study of depression incidence in England neighborhoods, we consider the gains from an alternative strategy, allowing nonstationary environmental impacts; spillover effects of environmental factors, and a non-stationary spatial intensity. We focus particularly on impacts of socio-behavioral environments, namely neighborhood cohesion and crime. We find these to be major influences on neighborhood depression incidence, and also find major gains in model performance by explicitly considering non-stationarity and spillovers. Allowing context heterogeneity, varying spatial intensity and spillover are shown to enhance the impacts of socio-behavioral environments on depression incidence, and such findings have broader relevance to disease mapping regression. Public health policy framing may therefore need to be tailored to locally specific environmental impacts, and to inter-agency collaboration across arbitrary boundaries. Full article
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20 pages, 1937 KB  
Article
Rethinking Urbanicity: Conceptualizing Neighborhood Effects on Women’s Mental Health in Kampala’s Urban Slums
by Monica H. Swahn, Peter Kalulu, Hakimu Sseviiri, Josephine Namuyiga, Jane Palmier and Revocatus Twinomuhangi
Int. J. Environ. Res. Public Health 2026, 23(1), 41; https://doi.org/10.3390/ijerph23010041 - 28 Dec 2025
Viewed by 813
Abstract
Urbanicity is a recognized determinant of mental health, yet conventional measures such as population density or the rural–urban divide often fail to capture the complex realities of informal settlements in low- and middle-income countries. This paper conceptualizes neighborhood effects through the lived experiences [...] Read more.
Urbanicity is a recognized determinant of mental health, yet conventional measures such as population density or the rural–urban divide often fail to capture the complex realities of informal settlements in low- and middle-income countries. This paper conceptualizes neighborhood effects through the lived experiences of young women in Kampala, Uganda, drawing on participatory research from the NIH-funded TOPOWA study. Using community mapping and Photovoice, participants identified neighborhood features that shape wellbeing, including sanitation facilities, drainage systems, alcohol outlets, health centers, schools, boda boda stages (motorcycle taxis), lodges, religious institutions, water sources, markets, and recreational spaces. These methods revealed both stressors—poor waste management, flooding, violence, gendered harassment, crime, and alcohol-related harms—and protective resources, including education, places of worship, health centers, social networks, identity, and sports activities. We argue that urbanicity in slum contexts should be understood as a multidimensional construct encompassing deprivation, fragmentation, exclusion, and resilience. This reconceptualization advances conceptual clarity, strengthens the validity of mental health research in low-resource settings, and informs interventions that simultaneously address structural risks and promote community assets. The case of Kampala demonstrates how participatory evidence can reshape the understanding of neighborhood effects with implications, for global mental health research and practice. Full article
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