scholarly journals Rethinking Depression in Cities: Evidence and Theory for Lower Rates in Larger Urban Areas

2020 ◽  
Author(s):  
Andrew J Stier ◽  
Marc G Berman ◽  
Luis M.A. Bettencourt ◽  
Kathryn E Schertz ◽  
Nak Won Rim ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Determinants ◽  
Urban Areas ◽  
Urban Environments ◽  
City Size ◽  
Built Environments ◽  
Rural And Urban ◽  
Us Cities ◽  
Systematic Framework

It is commonly assumed that cities are detrimental to mental health. However, the evidence remains inconsistent and, at most, makes the case for differences between rural and urban environments as a whole. Here, we propose a model of depression driven by an individual's accumulated experience mediated by social networks. The connection between observed systematic variations in socioeconomic networks and built environments with city size provides a link between urbanization and mental health. Surprisingly, this model predicts lower depression rates in larger cities. We confirm this prediction for US cities using three independent datasets. These results are consistent with other behaviors associated with denser socioeconomic networks and suggest that larger cities provide a buffer against depression. This approach introduces a systematic framework for conceptualizing and modeling mental health in complex physical and social networks, producing testable predictions for environmental and social determinants of mental health also applicable to other psychopathologies.

scholarly journals Evidence and theory for lower rates of depression in larger US urban areas

2021 ◽  
Vol 118 (31) ◽  
pp. e2022472118
Author(s):  
Andrew J. Stier ◽  
Kathryn E. Schertz ◽  
Nak Won Rim ◽  
Carlos Cardenas-Iniguez ◽  
Benjamin B. Lahey ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Determinants ◽  
Urban Areas ◽  
Urban Environments ◽  
City Size ◽  
Built Environments ◽  
Rural And Urban ◽  
Us Cities ◽  
Systematic Framework

It is commonly assumed that cities are detrimental to mental health. However, the evidence remains inconsistent and at most, makes the case for differences between rural and urban environments as a whole. Here, we propose a model of depression driven by an individual’s accumulated experience mediated by social networks. The connection between observed systematic variations in socioeconomic networks and built environments with city size provides a link between urbanization and mental health. Surprisingly, this model predicts lower depression rates in larger cities. We confirm this prediction for US cities using four independent datasets. These results are consistent with other behaviors associated with denser socioeconomic networks and suggest that larger cities provide a buffer against depression. This approach introduces a systematic framework for conceptualizing and modeling mental health in complex physical and social networks, producing testable predictions for environmental and social determinants of mental health also applicable to other psychopathologies.

Conclusions

2019 ◽  
pp. 354-356
Keyword(s):  
Mental Health ◽  
Ethnic Diversity ◽  
Urban Areas ◽  
Positive Impact ◽  
Well Being ◽  
Urban Environments ◽  
Mental Illnesses ◽  
Built Environments ◽  
The Impact ◽  
The City

Urban environments can be toxic to people’s mental health. Life in the city can also have positive impact on education, cultural enrichment, and employment opportunities and access to services when needed. Wide variety of housing and transport can help. Cities can also provide sexual and ethnic diversity. As most clinical services themselves are set in the urban areas, clinicians often do not understand the impact of urban environment on people’s well-being. Similarly, very often urban designers and city planners do not take into account the effect built environments can have on people’s mental health. It is critical that as part of prevention of mental illnesses and promotion of mental health both groups work with other stakeholders to ensure that urban environments are safe and clean and provide a milieu for people to work, play, and live in without endangering their well-being. Joint working should be the first crucial step.

Damage assessment mapping of rural environments; integration of SAR and Optical data

2021 ◽  
Author(s):  
Shiran Havivi ◽  
Stanley R. Rotman ◽  
Dan G. Blumberg ◽  
Shimrit Maman
Keyword(s):  
Natural Disaster ◽  
Rural Areas ◽  
Urban Areas ◽  
Damage Assessment ◽  
Vegetation Index ◽  
Urban Environments ◽  
Optical Data ◽  
Damage Level ◽  
Rural Environments ◽  
Rural And Urban

<p>The damage caused by a natural disaster in rural areas differs in nature, extent, landscape and in structure, from the damage in urban environments. Previous and current studies focus mainly on mapping damaged structures in urban areas after catastrophe events such as an earthquake or tsunami. Yet, research focusing on the damage level or its distribution in rural areas is absent. In order to apply an emergency response and for effective disaster management, it is necessary to understand and characterize the nature of the damage in each different environment. </p><p>Havivi et al. (2018), published a damage assessment algorithm that makes use of SAR images combined with optical data, for rapid mapping and compiling a damage assessment map following a natural disaster. The affected areas are analyzed using interferometric SAR (InSAR) coherence. To overcome the loss of coherence caused by changes in vegetation, optical images are used to produce a mask by computing the Normalized Difference Vegetation Index (NDVI) and removing the vegetated area from the scene. Due to the differences in geomorphological settings and landuse\landcover between rural and urban settlements, the above algorithm is modified and adjusted by inserting the Modified Normalized Difference Water Index (MNDWI) to better suit rural environments and their unique response after a disaster. MNDWI is used for detection, identification and extraction of waterbodies (such as irrigation canals, streams, rivers, lakes, etc.), allowing their removal which causes lack of coherence at the post stage of the event. Furthermore, it is used as an indicator for highlighting prone regions that might be severely affected pre disaster event. Thresholds are determined for the co-event coherence map (≤ 0.5), the NDVI (≥ 0.4) and the MNDWI (≥ 0), and the three layers are combined into one. Based on the combined map, a damage assessment map is generated. </p><p>As a case study, this algorithm was applied to the areas affected by multi-hazard event, following the Sulawesi earthquake and subsequent tsunami in Palu, Indonesia, which occurred on September 28th, 2018. High-resolution COSMO-SkyMed images pre and post the event, alongside a Sentinel-2 image pre- event are used as inputs. The output damage assessment map provides a quantitative assessment and spatial distribution of the damage in both the rural and urban environments. The results highlight the applicability of the algorithm for a variety of disaster events and sensors. In addition, the results enhance the contribution of the water component to the analysis pre and post the event in rural areas. Thus, while in urban regions the spatial extent of the damage will occur in its proximity to the coastline or the fault, rural regions, even in significant distance will experience extensive damage due secondary hazards as liquefaction processes.     </p>

Social Networks

Urban Health ◽  
2019 ◽  
pp. 248-255
Author(s):  
Abby E. Rudolph
Keyword(s):  
Public Health ◽  
Social Networks ◽  
Disease Transmission ◽  
Urban Areas ◽  
Urban Environments ◽  
Ample Evidence ◽  
Risk Of Disease ◽  
Barriers To Health ◽  
Distinguishing Features

One of the distinguishing features of urban environments is the close proximity of their residents. There is ample evidence that our social networks influence how we think, feel, and behave and, through doing so, shape our health. Therefore, the challenge and opportunity for urban areas is how to foster social relationships and interactions that promote healthier behaviors, reduce the risk of disease transmission, and remove or serve as buffers against existing barriers to health service utilization. This chapter provides a theoretical framework for thinking about the role of social networks in public health and provides two examples how social network analysis has been used to better understand two major public health concerns in urban settings.

Gender and sexual minorities

2019 ◽  
pp. 258-268
Author(s):  
Richard Bradlow ◽  
Neha Singh ◽  
Suraj Beloskar ◽  
Gurvinder Kalra
Keyword(s):  
Mental Health ◽  
Urban Area ◽  
Rural Areas ◽  
Urban Areas ◽  
Living Environment ◽  
Substantial Impact ◽  
Urban Settings ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Push And Pull

A person’s living environment can have substantial impact on his/her mental health due to a range of factors related to the environment. It has often been argued that urban settings are a hotpot of sociocultural evolutions that attract individuals from the gender and sexual minority (GSM) groups. This has led to migration from rural to urban areas and also from one urban area to another urban area. Various push and pull factors in both the rural and urban areas help GSM individuals decide in which direction to move. While rural areas present with challenges such as social isolation within a homophobic/transphobic environment, urban areas also have their own unique set of challenges for the GSM population. In this chapter, we focus on various factors in both rural and urban settings that impact on the mental health of GSM population.

scholarly journals Mental Health & Resiliency: Designing Participatory Nature Dependent Environments and Communities for a Sustainable Future

2018 ◽  
Vol 11 (3) ◽  
pp. 234 ◽  
Author(s):  
Jacqueline Beam ◽  
Nawari O. Nawari ◽  
Bill Tilson
Keyword(s):  
Mental Health ◽  
Urban Planning ◽  
Urban Areas ◽  
Close Contact ◽  
Community Planning ◽  
Well Being ◽  
Mental Health Research ◽  
Urban Environments ◽  
Relationship Building ◽  
Natural Environments

Sustainable design trends have historically wended down a road that supports the idea of densely populated urban planning as a strategy for mitigating sprawl. Creation of dense urban areas aims at the reduction of carbon emissions. However, studies show that densely populated areas often come with a panacea of mental health, resiliency, and quality of life ails for a community.The following research explores the possibility of combining densely populated design approaches with ancient community planning methods that encourage relationship building: close contact with natural environments and social interchange. Community planning that also creates a day to day contact with nature could be a crucial strategy for both sustaining healthy ecosystems and the development of sustainable communities. The potential for integrating dependence upon nature within built urban environments, as well as the possibility of positive place-making by harvesting nature dependent cultural and social assets in communities and neighborhoods, is, therefore, a wealthy area worthy of exploration.To explore these areas, mental health research on the effects of nature on the brain, as well as the three leading determinants of social, environmental and economic well-being, worldwide, and the founding cultures of these determinants were reviewed. Resilient indigenous groups and case studies of the happiest nation, of Norway and two leading environmentally sustainable and resilient countries, Costa Rica, Cuba, and New Mexico are examined. The paper provides recommendations for improving mental health and resilience by integrating strategies for nature and community needs in urban planning and built environments design.

scholarly journals Functional links between rural and urban areas in the territory of the city of Banja Luka and the perspective of their development

2020 ◽  
Vol 4 (2) ◽  
pp. 49-62
Author(s):  
Milan Tomić ◽  
Sandra Rover ◽  
Bojan Pejović ◽  
Nina Uremović
Keyword(s):  
Urban Environment ◽  
Rural Areas ◽  
Urban Areas ◽  
Urban Environments ◽  
Urban Center ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Political Dimensions ◽  
Urban And Rural Areas ◽  
Banja Luka

Different types of interactions between rural and urban areas have the effect of improving economic, social, cultural and political dimensions in both areas, separating these two areas by their type of activity. Rural and urban types of regions have different resources and means that can be used in a complementary way. In rural-urban interaction there is a possibility of occurrence of conflict of interest of these two areas. This kind of conflict should be overcome when applying the partnership approach between rural and urban areas. The types of rural areas, depending on the proximity of the urban center and the functions of these areas, are divided into suburban, agricultural and remote type areas. By determining the functions of each type of area, the type and intensity of the interactions of rural areas with the urban center are presented. Rural entrepreneurs are able to bridge rural-urban differences, possessing certain market knowledge and descriptions of the characteristics of urban environments, while benefiting from their position. Rural entrepreneurs' interaction with the urban environment can contribute to sustainable economic relations between citizens in urban and rural areas. This paper presents the results of research related to determining the functions of certain areas, their strengths, unused and utilized resources, the frequency of interaction with the urban environment and the perspectives of suburban, agricultural and remote type areas in the context of interaction with the urban environment.

scholarly journals Veterans� Attitudes Toward Smartphone App Use for Mental Health Care: Qualitative Study of Rurality and Age Differences (Preprint)

2018 ◽  
Author(s):  
Samantha L Connolly ◽  
Christopher J Miller ◽  
Christopher J Koenig ◽  
Kara A Zamora ◽  
Patricia B Wright ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Access To Care ◽  
Mental Health Treatment ◽  
Urban Areas ◽  
Qualitative Interviews ◽  
Adjunctive Treatment ◽  
Smartphone Apps ◽  
Rural And Urban

BACKGROUND Mental health smartphone apps provide support, skills, and symptom tracking on demand and come at minimal to no additional cost to patients. Although the Department of Veterans Affairs has established itself as a national leader in the creation of mental health apps, veterans’ attitudes regarding the use of these innovations are largely unknown, particularly among rural and aging populations who may benefit from increased access to care. OBJECTIVE The objective of our study was to examine veterans’ attitudes toward smartphone apps and to assess whether openness toward this technology varies by age or rurality. METHODS We conducted semistructured qualitative interviews with 66 veterans from rural and urban areas in Maine, Arkansas, and California. Eligible veterans aged 18 to 70 years had screened positive for postraumatic stress disorder (PTSD), alcohol use disorder, or major depressive disorder, but a history of mental health service utilization was not required. Interviews were digitally recorded, professionally transcribed, and coded by a research team using an established codebook. We then conducted a thematic analysis of segments pertaining to smartphone use, informed by existing theories of technology adoption. RESULTS Interviews revealed a marked division regarding openness to mental health smartphone apps, such that veterans either expressed strongly positive or negative views about their usage, with few participants sharing ambivalent or neutral opinions. Differences emerged between rural and urban veterans’ attitudes, with rural veterans tending to oppose app usage, describe smartphones as hard to navigate, and cite barriers such as financial limitations and connectivity issues, more so than urban populations. Moreover, rural veterans more often described smartphones as being opposed to their values. Differences did not emerge between younger and older (≥50) veterans regarding beliefs that apps could be effective or compatible with their culture and identity. However, compared with younger veterans, older veterans more often reported not owning a smartphone and described this technology as being difficult to use. CONCLUSIONS Openness toward the use of smartphone apps in mental health treatment may vary based on rurality, and further exploration of the barriers cited by rural veterans is needed to improve access to care. In addition, findings indicate that older patients may be more open to integrating technology into their mental health care than providers might assume, although such patients may have more trouble navigating these devices and may benefit from simplified app designs or smartphone training. Given the strong opinions expressed either for or against smartphone apps, our findings suggest that apps may not be an ideal adjunctive treatment for all patients, but it is important to identify those who are open to and may greatly benefit from this technology.

scholarly journals Mental health and its influencing factors among left-behind children in South China: a cross-sectional study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Xiu Zhang ◽  
Mengjie Li ◽  
Li Guo ◽  
Yanna Zhu
Keyword(s):  
Mental Health ◽  
Rural Areas ◽  
Urban Areas ◽  
Mental Health Problems ◽  
Cross Sectional Study ◽  
Age Group ◽  
Cross Sectional ◽  
Left Behind ◽  
Rural And Urban ◽  
Communication Frequency

Abstract Background With rapid development of China’s economy, there were over 68.7 million left-behind children (LBC) in China whose mental health has become a problem of public concern. The present cross-sectional study aimed to investigate the status of mental health and its associated factors of LBC aged 3–16 years old in both rural and urban areas. Methods A total of 4187 children (aged 3–16), including 1471 LBC and 2716 non-left-behind children (NLBC), were recruited from 50 communities (22 in urban areas and 28 in rural areas) in Guangdong, China in August, 2014. The mental health problems were assessed using the Strength and Difficulties Questionnaire (SDQ). Results No statistically significant difference of SDQ subscales scores about difficulties were found between LBC and NLBC on the whole participants as well as in rural areas or in urban areas within the same age group after adjustments were made (all p > 0.05). However, compared with NLBC in the same areas, urban LBC tended to have higher prosocial behaviours scores, while rural LBC had the lowest prosocial behaviours scores not only in the whole age group but also in different age subgroups (p < 0.05). Besides, compared with urban LBC, rural LBC were not worse in SDQ subscales scores except for prosocial behaviour at 7–9 age group (p = 0.003). Furthermore, higher paternal educational level and longer duration of parental absence, were associated with less difficulties in both rural and urban LBC. Besides, shorter duration of talk per-time but higher communication frequency were associated with less difficulties in rural LBC. Conclusions The present study demonstrated that in general, no difference of mental health problems were found between LBC and NLBC. Besides, longer duration of parental absence, shorter duration of talk per time but more communication frequency, and higher paternal educational level tend to have better development of mental health. The findings reinforce the importance of the stability of caregivers and the effective parent-child communication for Chinese rural LBC.

scholarly journals Understanding urbanicity: how interdisciplinary methods help to unravel the effects of the city on mental health

2020 ◽  
pp. 1-12 ◽  
Author(s):  
Lydia Krabbendam ◽  
Mark van Vugt ◽  
Philippe Conus ◽  
Ola Söderström ◽  
Lilith Abrahamyan Empson ◽  
...  
Keyword(s):  
Mental Health ◽  
Rural Areas ◽  
Urban Areas ◽  
Mental Health Problems ◽  
Epidemiological Studies ◽  
Population Based ◽  
Urban Environments ◽  
Country Level ◽  
Underlying Causes ◽  
Underlying Mechanisms

Abstract Twenty-first century urbanization poses increasing challenges for mental health. Epidemiological studies have shown that mental health problems often accumulate in urban areas, compared to rural areas, and suggested possible underlying causes associated with the social and physical urban environments. Emerging work indicates complex urban effects that depend on many individual and contextual factors at the neighbourhood and country level and novel experimental work is starting to dissect potential underlying mechanisms. This review summarizes findings from epidemiology and population-based studies, neuroscience, experimental and experience-based research and illustrates how a combined approach can move the field towards an increased understanding of the urbanicity-mental health nexus.

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