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Book ; Online: Frontiers in Mental Health and the Environment

Helbich, Marco

2018

Abstract: This book sheds light on the influence of the environment on people's mental health. To what extent are exposures to green space, air pollution, natural disasters, etc. related to depression or suicide? Such questions are relevant for both scientists and ...

Abstract	This book sheds light on the influence of the environment on people's mental health. To what extent are exposures to green space, air pollution, natural disasters, etc. related to depression or suicide? Such questions are relevant for both scientists and policy-makers. A rich collection of chapters subsumes current research frontiers originating from disciplines such as geography, public health, epidemiology, environmental science, etc. The topics covered in the book are of interest to researchers, practitioners, and professionals. The editor hopes that the scientific outcome of this book will stimulate debate about how the environment affects mental health outcomes
Keywords	Geography (General) ; Environmental sciences ; Public aspects of medicine
Size	1 electronic resource (156 p.)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT020099724
ISBN	9783038973904 ; 9783038973911 ; 3038973904 ; 3038973912
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Environmental noise is positively associated with socioeconomically less privileged neighborhoods in the Netherlands.

Hayward, Max / Helbich, Marco

Environmental research

2024 Volume 248, Page(s) 118294

Abstract: Background: Environmental noise has detrimental effects on various health outcomes. Although disparities in some environmental exposures (e.g., air pollution) are well-documented, there is still a limited and uncertain understanding of the extent to ... ...

Abstract	Background: Environmental noise has detrimental effects on various health outcomes. Although disparities in some environmental exposures (e.g., air pollution) are well-documented, there is still a limited and uncertain understanding of the extent to which specific populations are disproportionately burdened by noise. Aim: To assess whether environmental noise levels are associated with demographic and socioeconomic neighborhood compositions. Methods: We cross-sectionally examined long-term noise levels for 9,372 neighborhoods in the Netherlands. We linked these noise levels with administrative data on neighborhood characteristics for the year 2021. Linear and non-linear spatial regression models were fitted to explore the associations between noise, demographic, and socioeconomic neighborhood characteristics. Results: Our results showed that 46 % of the neighborhoods exhibited noise levels surpassing the recommended threshold of 53 dB to prevent adverse health effects. The regressions uncovered positive and partially non-linear neighborhood-level associations between noise and non-Western migrants, employment rates, low-incomers, and address density. Conversely, we found negative associations with higher-educated neighborhoods and those with a greater proportion of younger residents. Neighborhoods with older populations displayed a U-shaped association. Conclusions: This national study showed an inequality in the noise burden, adversely affecting vulnerable, marginalized, and less privileged neighborhoods. Addressing the uneven distribution of noise and its root causes is an urgent policy imperative for sustainable Dutch cities.
MeSH term(s)	Netherlands ; Socioeconomic Factors ; Air Pollution ; Environmental Exposure ; Noise ; Residence Characteristics
Language	English
Publishing date	2024-01-26
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2024.118294
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories.

Lan, Yuliang / Helbich, Marco

International journal of health geographics

2023 Volume 22, Issue 1, Page(s) 27

Abstract: Background: Short-term environmental exposures, including green space, air pollution, and noise, have been suggested to affect health. However, the evidence is limited to aggregated exposure estimates which do not allow the capture of daily ... ...

Abstract	Background: Short-term environmental exposures, including green space, air pollution, and noise, have been suggested to affect health. However, the evidence is limited to aggregated exposure estimates which do not allow the capture of daily spatiotemporal exposure sequences. We aimed to (1) determine individuals' sequential exposure patterns along their daily mobility paths and (2) examine whether and to what extent these exposure patterns were associated with anxiety symptoms. Methods: We cross-sectionally tracked 141 participants aged 18-65 using their global positioning system (GPS) enabled smartphones for up to 7 days in the Netherlands. We estimated their location-dependent exposures for green space, fine particulate matter, and noise along their moving trajectories at 10-min intervals. The resulting time-resolved exposure sequences were then partitioned using multivariate time series clustering with dynamic time warping as the similarity measure. Respondents' anxiety symptoms were assessed with the Generalized Anxiety Disorders-7 questionnaire. We fitted linear regressions to assess the associations between sequential exposure patterns and anxiety symptoms. Results: We found four distinctive daily sequential exposure patterns across the participants. Exposure patterns differed in terms of exposure levels and daily variations. Regression results revealed that participants with a "moderately health-threatening" exposure pattern were significantly associated with fewer anxiety symptoms than participants with a "strongly health-threatening" exposure pattern. Conclusions: Our findings support that environmental exposures' daily sequence and short-term magnitudes may be associated with mental health. We urge more time-resolved mobility-based assessments in future analyses of environmental health effects in daily life.
MeSH term(s)	Humans ; Air Pollutants/analysis ; Time Factors ; Smartphone ; Air Pollution/analysis ; Particulate Matter/analysis ; Environmental Exposure/analysis
Chemical Substances	Air Pollutants ; Particulate Matter
Language	English
Publishing date	2023-10-10
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2091613-9
ISSN	1476-072X ; 1476-072X
ISSN (online)	1476-072X
ISSN	1476-072X
DOI	10.1186/s12942-023-00348-1
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Dy

Helbich, Marco

BMJ open

2019 Volume 9, Issue 8, Page(s) e030075

Abstract: Introduction: Environmental exposures are intertwined with mental health outcomes. People are exposed to the environments in which they currently live, and to a multitude of environments along their daily movements and through their residential ... ...

Abstract	Introduction: Environmental exposures are intertwined with mental health outcomes. People are exposed to the environments in which they currently live, and to a multitude of environments along their daily movements and through their residential relocations. However, most research assumes that people are immobile, disregarding that such dynamic exposures also serve as stressors or buffers potentially associated with depression and suicide risk. The aim of the Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) study is to examine how dynamic environmental exposures along people's daily movements and over their residential histories affect depression and suicide mortality in the Netherlands. Methods and analysis: The research design comprises two studies emphasising the temporality of exposures. First, a cross-sectional study is assessing how daily exposures correlate with depression. A nationally representative survey was administered to participants recruited through stratified random sampling of the population aged 18-65 years. Survey data were enriched with smartphone-based data (eg, Global Positioning System tracking, Bluetooth sensing, social media usage, communication patterns) and environmental exposures (eg, green and blue spaces, noise, air pollution). Second, a longitudinal population register study is addressing the extent to which past environmental exposures over people's residential history affect suicide risk later in life. Statistical and machine learning-based models are being developed to quantify environment-health relations. Ethics and dissemination: Ethical approval (FETC17-060) was granted by the Ethics Review Board of Utrecht University, The Netherlands. Project-related findings will be disseminated at conferences and in peer-reviewed journal papers. Other project outcomes will be made available through the project's web page, http://www.needs.sites.uu.nl.
MeSH term(s)	Adolescent ; Adult ; Aged ; Built Environment ; Cross-Sectional Studies ; Depression/epidemiology ; Depression/etiology ; Environmental Exposure/adverse effects ; Environmental Exposure/statistics & numerical data ; Female ; Geographic Information Systems ; Humans ; Longitudinal Studies ; Male ; Middle Aged ; Netherlands/epidemiology ; Registries ; Risk Factors ; Smartphone ; Suicide/statistics & numerical data ; Urban Population/statistics & numerical data ; Young Adult
Language	English
Publishing date	2019-08-10
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2747269-3
ISSN	2044-6055 ; 2044-6055 ; 2053-3624
ISSN (online)	2044-6055
ISSN	2044-6055 ; 2053-3624
DOI	10.1136/bmjopen-2019-030075
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Area-level Measures of the Social Environment: Operationalization, Pitfalls, and Ways Forward.

Helbich, Marco / Zeng, Yi / Sarker, Abeed

Current topics in behavioral neurosciences

2024

Abstract: People's mental health is intertwined with the social environment in which they reside. This chapter explores approaches for quantifying the area-level social environment, focusing specifically on socioeconomic deprivation and social fragmentation. We ... ...

Abstract	People's mental health is intertwined with the social environment in which they reside. This chapter explores approaches for quantifying the area-level social environment, focusing specifically on socioeconomic deprivation and social fragmentation. We discuss census data and administrative units, egocentric and ecometric approaches, neighborhood audits, social media data, and street view-based assessments. We close the chapter by discussing possible paths forward from associations between social environments and health to establishing causality, including longitudinal research designs and time-series social environmental indices.
Language	English
Publishing date	2024-03-08
Publishing country	Germany
Document type	Journal Article
ISSN	1866-3370
ISSN	1866-3370
DOI	10.1007/7854_2024_464
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Spatiotemporal Contextual Uncertainties in Green Space Exposure Measures: Exploring a Time Series of the Normalized Difference Vegetation Indices.

Helbich, Marco

International journal of environmental research and public health

2019 Volume 16, Issue 5

Abstract: Environmental health studies on green space may be affected by contextual uncertainties originating from the temporality of environmental exposures and by how the spatial context is delimitated. The Normalized Difference Vegetation Index (NDVI) is ... ...

Abstract	Environmental health studies on green space may be affected by contextual uncertainties originating from the temporality of environmental exposures and by how the spatial context is delimitated. The Normalized Difference Vegetation Index (NDVI) is frequently used as an outdoor green space metric capturing the chlorophyll content in the vegetation canopy. This study assessed (1) whether residential NDVI exposures vary over time, and (2) how these time series of NDVI scores vary across spatial context delimitations. Multi-temporal NDVI data for the period 2006⁻2017 for the Netherlands were obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite platform. Annual NDVI exposures were determined across multiple buffer sizes (i.e., 300, 600, and 1000 m) centered on a random sample of 10,000 Dutch residential addresses. Besides the descriptive statistics, pairwise Wilcoxon tests and Fligner⁻Killeen tests were used to determine mean and variance differences in annual NDVI scores across buffer widths. Heat maps visualized the correlation matrices. Significance levels were adjusted for multiple hypotheses testing. The results indicated that annual NDVI metrics were significantly correlated but their magnitude varied notably between 0.60 to 0.97. Numerous mean and variance differences in annual NDVI exposures were significant. It seems that the disparate buffers (i.e., 300 and 1000 m) were less strongly correlated, possibly because variance heterogeneity is reduced in larger buffers. These results have been largely consistent over the years and have passed Monte Carlo-based sensitivity tests. In conclusion, besides assessing green space exposures along different buffer sizes, our findings suggest that green space⁻health studies should employ NDVI data that are well-aligned with epidemiological data. Even an annual temporal incompatibility may obscure or distort green space⁻health associations. Both strategies may diminish contextual uncertainties in environmental exposure assessments.
MeSH term(s)	Environmental Exposure ; Environmental Health ; Geographic Information Systems ; Humans ; Netherlands ; Plants ; Satellite Imagery ; Uncertainty
Language	English
Publishing date	2019-03-08
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1660-4601
ISSN (online)	1660-4601
DOI	10.3390/ijerph16050852
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Mental Health and Environmental Exposures: An Editorial.

Helbich, Marco

International journal of environmental research and public health

2018 Volume 15, Issue 10

Language	English
Publishing date	2018-10-10
Publishing country	Switzerland
Document type	Editorial
ISSN	1660-4601
ISSN (online)	1660-4601
DOI	10.3390/ijerph15102207
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: The private rental housing market before and during the COVID-19 pandemic: A submarket analysis in Cracow, Poland.

Tomal, Mateusz / Helbich, Marco

Environment and planning. B, urban analytics and city science

2022 Volume 49, Issue 6, Page(s) 1646–1662

Abstract: How the COVID-19 pandemic has altered the segmentation of residential rental markets is largely unknown. We therefore assessed rental housing submarkets before and during the pandemic in Cracow, Poland. We used geographically and temporally weighted ... ...

Abstract	How the COVID-19 pandemic has altered the segmentation of residential rental markets is largely unknown. We therefore assessed rental housing submarkets before and during the pandemic in Cracow, Poland. We used geographically and temporally weighted regression to investigate the marginal prices of housing attributes over space-time. The marginal prices were further reduced to a few principal components per time period and spatially clustered to identify housing submarkets. Finally, we applied the adjusted Rand index to evaluate the spatiotemporal stability of the housing submarkets. The results revealed that the pandemic outbreak significantly lowered rents and modified the relevance of some housing characteristics for rental prices. Proximity to the university was no longer among the residential amenities during the pandemic. Similarly, the virus outbreak diminished the effect of a housing unit's proximity to the city center. The market partitioning showed that the number of Cracow's residential rental submarkets increased significantly as a result of the COVID-19 pandemic, as it enhanced the spatial variation in the marginal prices of covariates. Our findings suggest that the emergence of the coronavirus reshaped the residential rental market in three ways: Rents were decreased, the underlying rental price-determining factors changed, and the spatiotemporal submarket structure was altered.
Language	English
Publishing date	2022-07-01
Publishing country	United States
Document type	Journal Article
ISSN	2399-8083
ISSN	2399-8083
DOI	10.1177/23998083211062907
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Article ; Online: Inequalities of Suicide Mortality across Urban and Rural Areas: A Literature Review.

Casant, Judith / Helbich, Marco

International journal of environmental research and public health

2022 Volume 19, Issue 5

Abstract: Suicide mortality is a major contributor to premature death, with geographic variation in suicide rates. Why suicide rates differ across urban and rural areas has not yet been fully established. We conducted a literature review describing the urban-rural ...

Abstract	Suicide mortality is a major contributor to premature death, with geographic variation in suicide rates. Why suicide rates differ across urban and rural areas has not yet been fully established. We conducted a literature review describing the urban-rural disparities in suicide mortality. Articles were searched in five databases (EMBASE, PubMed, PsychINFO, Scopus, and Web of Science) from inception till 26 May 2021. Eligible studies were narratively analyzed in terms of the urban-rural disparities in suicides, different suicide methods, and suicide trends over time. In total, 24 articles were included in our review. Most studies were ecological and cross-sectional evidence tentatively suggests higher suicide rates in rural than in urban areas. Men were more at risk by rurality than women, but suicide is in general more prevalent among men. No obvious urban-rural pattern emerged regarding suicide means or urban-rural changes over time. Potential suicidogenic explanations include social isolation, easier access to lethal means, stigmatization toward people with mental health problems, and reduced supply of mental health services. For research progress, we urge, first, individual-level cohort and case-control studies in different sociocultural settings. Second, both rurality and urbanicity are multifaceted concepts that are inadequately captured by oversimplified typologies and require detailed assessments of the sociophysical residential environment.
MeSH term(s)	Cross-Sectional Studies ; Female ; Humans ; Male ; Mental Health Services ; Rural Population ; Suicide ; Urban Population
Language	English
Publishing date	2022-02-25
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph19052669
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Article ; Online: To use or not to use proprietary street view images in (health and place) research? That is the question.

Helbich, Marco / Danish, Matthew / Labib, S M / Ricker, Britta

Health & place

2024 Volume 87, Page(s) 103244

Abstract: Computer vision-based analysis of street view imagery has transformative impacts on environmental assessments. Interactive web services, particularly Google Street View, play an ever-important role in making imagery data ubiquitous. Despite the technical ...

Abstract	Computer vision-based analysis of street view imagery has transformative impacts on environmental assessments. Interactive web services, particularly Google Street View, play an ever-important role in making imagery data ubiquitous. Despite the technical ease of harnessing millions of Google Street View images, this article questions the current practices in using this proprietary data source from a European viewpoint. Our concern lies with Google's terms of service, which restrict bulk image downloads and the generation of street view image-based indices. To reconcile the challenge of advancing society through groundbreaking research while maintaining data license agreements and legal integrity, we believe it is crucial to 1) include an author's statement on using proprietary street view data and the directives it entails, 2) negotiate academic-specific license to democratize Google Street View data access, and 3) adhere to open data principles and utilize open image sources for future research.
Language	English
Publishing date	2024-04-09
Publishing country	England
Document type	Journal Article
ZDB-ID	1262540-1
ISSN	1873-2054 ; 1353-8292
ISSN (online)	1873-2054
ISSN	1353-8292
DOI	10.1016/j.healthplace.2024.103244
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