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Shahabi Shahmiri M, Boujari P, Sadat Fazeli Dehkordi Z, Khatami SM. Do Green Spaces Mitigate Mental Health Disorders in Tehran? Evidence from 358 Neighborhoods. HERD-HEALTH ENVIRONMENTS RESEARCH & DESIGN JOURNAL 2024:19375867241304004. [PMID: 39636036 DOI: 10.1177/19375867241304004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2024]
Abstract
BACKGROUND With a prevalence of mental disorders affecting 18 out of every 100 Iranians and a rising urban population, it is crucial to examine the impact of built environments on people's well-being. OBJECTIVE While some studies have conducted individual-level surveys in Iran, this research aims to investigate the potential impact of green spaces on mental health at the neighborhood level in Tehran. METHOD Using secondary data from 358 neighborhoods in Tehran in 2011, a linear regression analysis was conducted to investigate the correlation between four green space indicators and three mental health metrics. RESULTS The results indicate that green space indicators have the potential to mitigate mental disorders in Tehran, with accessibility to green spaces emerging as the most impactful factor among those studied on mental disorders and anxiety. However, no significant association was found with depression when considering intervening variables. The study also found that other green space indicators, such as the ratio of green space in neighborhoods and satisfaction with green spaces, did not show significant effects, underscoring the importance of accessibility over size or quantity of green spaces per person. Additionally, our findings suggest that higher levels of unemployment in neighborhoods have a more pronounced impact on mental disorders among sociodemographic factors. CONCLUSION Urban planners and designers should prioritize equitable access to green spaces within neighborhoods, rather than focusing solely on size or per capita availability. Additionally, policymakers should recognize that addressing both environmental and socioeconomic factors-rather than just one-can effectively alleviate residents' mental health issues.
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Affiliation(s)
- Mojtaba Shahabi Shahmiri
- Department of Regional Planning, School of Urban Planning, College of Fine Arts, University of Tehran, Tehran, Iran
| | - Pouria Boujari
- Urban Design and Planning Department, Tarbiat Modares University, Tehran, Iran
| | | | - Seyed Mahdi Khatami
- Urban Design and Planning Department, Healthy Built Environments Lab, Tarbiat Modares University, Tehran, Iran
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He YS, Ge M, Xu YQ, Gao ZX, He T, Zhang P, Tao SS, Wang P, Chen Z, Pan HF. Associations between blue space exposure and rheumatoid arthritis: The modifying effect of genetic susceptibility and air pollutants. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 287:117346. [PMID: 39541697 DOI: 10.1016/j.ecoenv.2024.117346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 10/16/2024] [Accepted: 11/11/2024] [Indexed: 11/16/2024]
Abstract
Studies on the interaction among genetic susceptibility, blue space exposure, and rheumatoid arthritis (RA) risk have been lacking. Therefore, we examined the association between blue space exposure and RA incidence and assess the modifying effect of genetic susceptibility and air pollutants. Form the UK Biobank, 322,783 participants without RA were enrolled in this study. The association between blue space exposure and RA incidence was estimated using a cox proportional hazards model. The combined effect of blue space and genetic factors on the risk of RA was further evaluated. The polygenic risk score (PRS) for RA was calculated to represent individual genetic risk, and the potential modification effect of air pollution on the relationship between blue space, PRS, and RA were explored. During a median follow-up of 12.4 years, 3659 RA cases were identified. A 10 % increase in blue space300 m was associated with a 22.6 % reduction in RA incidence (HR=0.774, 95 % CI: 0.670, 0.895), exhibiting a consistent downward trend in the exposure-response curve. A high PRS was an independent risk factor for RA (HR=1.393, 95 % CI: 1.347, 1.439). The associations between blue space exposure, PRS, and the risk of RA were dose-dependent, with the lowest risk observed among those with high levels of blue space and lower PRS (HRbluespace300m=0.501, 95 % CI: 0.431, 0.583; HRbluespace1000m=0.476, 95 % CI: 0.408, 0.555). Interaction analysis indicated that increased concentrations of air pollutants strengthened the relationship between PRS and RA. Blue space exposure mitigated the risk of RA development, particularly in individuals with low genetic risk.
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Affiliation(s)
- Yi-Sheng He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Institute of Kidney Disease, Inflammation & Immunity-mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Man Ge
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Institute of Kidney Disease, Inflammation & Immunity-mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yi-Qing Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Institute of Kidney Disease, Inflammation & Immunity-mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Zhao-Xing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Institute of Kidney Disease, Inflammation & Immunity-mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Tian He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Institute of Kidney Disease, Inflammation & Immunity-mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Peng Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Institute of Kidney Disease, Inflammation & Immunity-mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Sha-Sha Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Institute of Kidney Disease, Inflammation & Immunity-mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Peng Wang
- Department of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China.
| | - Zhu Chen
- Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China.
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Institute of Kidney Disease, Inflammation & Immunity-mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
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3
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Marcham L, Ellett L. Exposure to green spaces and schizophrenia: a systematic review. Psychol Med 2024; 54:1-12. [PMID: 39245820 PMCID: PMC11496216 DOI: 10.1017/s0033291724001533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 05/16/2024] [Accepted: 05/30/2024] [Indexed: 09/10/2024]
Abstract
The mental health benefits of exposure to green spaces are well known. This systematic review summarizes the evidence of green space exposure for people with schizophrenia spectrum disorders (SSDs), focusing on incidence and mental health outcomes, including mental health symptoms and health service use. The study was pre-registered (PROSPERO ID: CRD42023431954), and conducted according to PRISMA guidelines. Seven databases, reference lists, and gray literature sources were searched. Methodological quality was assessed using The Quality Assessment Tool for Quantitative Studies. 126 studies were screened, and 12 studies were eligible for inclusion. Seven studies found that exposure to green space was associated with a reduced risk of schizophrenia (lowest to highest green space exposure: HRs = 0.62-0.37; IRRs = 1.52-1.18), with five studies reporting a dose-response relationship. Of these studies, four examined childhood exposure and the remainder examined adult exposure. Regarding health service use, proximity to green space was not significantly associated with length of hospital admission, though greater green space exposure was associated with reduced hospital admission rates. Three studies found reduced symptoms of anxiety (d = -0.70-2.42), depression (d = -0.97-1.70) and psychosis (d = -0.94) with greater green space exposure. Exposure to green space reduces the risk of schizophrenia, and there is emerging evidence of the potential benefits of green space for reducing symptoms and health service use among people with SSDs. Future research using experimental and longitudinal designs will provide more robust evidence of the benefits of green space for people with SSDs.
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Affiliation(s)
- Louise Marcham
- School of Psychology, University of Southampton, Southampton, UK
| | - Lyn Ellett
- School of Psychology, University of Southampton, Southampton, UK
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4
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Horsdal HT, Pedersen MG, Schullehner J, Østergaard CS, Mcgrath JJ, Agerbo E, Timmermann A, Closter AM, Brandt J, Christensen JH, Frohn LM, Geels C, Ketzel M, Khan J, Ørby PV, Olsen Y, Levin G, Svenning JC, Engemann K, Gyldenkærne S, Hansen B, Hertel O, Sabel CE, Erikstrup C, Sigsgaard T, Pedersen CB. Perspectives on environment and health research in Denmark. Scand J Public Health 2024; 52:741-751. [PMID: 37278162 PMCID: PMC11308320 DOI: 10.1177/14034948231178076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/04/2023] [Accepted: 05/08/2023] [Indexed: 06/07/2023]
Abstract
AIMS We provide an overview of nationwide environmental data available for Denmark and its linkage potentials to individual-level records with the aim of promoting research on the potential impact of the local surrounding environment on human health. BACKGROUND Researchers in Denmark have unique opportunities for conducting large population-based studies treating the entire Danish population as one big, open and dynamic cohort based on nationally complete population and health registries. So far, most research in this area has utilised individual- and family-level information to study the clustering of disease in families, comorbidities, risk of, and prognosis after, disease onset, and social gradients in disease risk. Linking environmental data in time and space to individuals enables novel possibilities for studying the health effects of the social, built and physical environment. METHODS We describe the possible linkage between individuals and their local surrounding environment to establish the exposome - that is, the total environmental exposure of an individual over their life course. CONCLUSIONS The currently available nationwide longitudinal environmental data in Denmark constitutes a valuable and globally rare asset that can help explore the impact of the exposome on human health.
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Affiliation(s)
- Henriette T. Horsdal
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
| | - Marianne G. Pedersen
- National Centre for Register-based Research, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Jörg Schullehner
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
- Geological Survey of Denmark and Greenland, Denmark
| | - Cecilie S. Østergaard
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - John J. Mcgrath
- National Centre for Register-based Research, Aarhus University, Denmark
- Queensland Brain Institute, The University of Queensland, Australia
- Queensland Centre for Mental Health Research, Australia
| | - Esben Agerbo
- National Centre for Register-based Research, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Allan Timmermann
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Ane Marie Closter
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Denmark
| | | | - Lise M. Frohn
- Department of Environmental Science, Aarhus University, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Denmark
- Global Centre for Clean Air Research, University of Surrey, UK
| | - Jibran Khan
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Environmental Science, Aarhus University, Denmark
| | - Pia V. Ørby
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Environmental Science, Aarhus University, Denmark
| | - Yulia Olsen
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - Gregor Levin
- Department of Environmental Science, Aarhus University, Denmark
| | - Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere & Center for Biodiversity Dynamics in a Changing World, Department of Biology, Aarhus University, Denmark
| | - Kristine Engemann
- Center for Ecological Dynamics in a Novel Biosphere & Center for Biodiversity Dynamics in a Changing World, Department of Biology, Aarhus University, Denmark
| | | | | | - Ole Hertel
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Ecoscience, Aarhus University, Denmark
| | - Clive E. Sabel
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - Christian Erikstrup
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Clinical Immunology, Aarhus University Hospital, Denmark
| | - Torben Sigsgaard
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - Carsten B. Pedersen
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
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Shen C, Tong X, Ran J, Sun S, Yang Q, Shen H, Yao XI. Associations between residential environments and late-onset schizophrenia in UK Biobank: Interaction with genetic risk factor. Schizophr Res 2024; 270:85-93. [PMID: 38885569 DOI: 10.1016/j.schres.2024.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 05/04/2024] [Accepted: 06/08/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Environment and genes both contribute to schizophrenia. However, the impact of different natural environments surrounding residential addresses on schizophrenia in urban settings remains unknown. This study aimed to investigate the association of urbanisation, measured by residential environments, with late-onset schizophrenia and explore whether genetic risk for schizophrenia modified the associations. METHODS We examined the associations between residential environments and late-onset schizophrenia and its interaction with genetic risk factors in UK Biobank, followed from 2006 to 2010 (baseline) to Dec 2021. Residential environments, including greenspace, domestic garden, blue space, and total natural environment, were evaluated using land use coverage percentage. The polygenic risk score (PRS) of schizophrenia was derived using a Bayesian approach and adjusted it against ancestry. Cox proportional hazard regression model was used to assess the associations between per interquartile (IQR) increase of each type of residential environments and late-onset schizophrenia. Interactive effects of PRS and residential environments on late-onset schizophrenia were assessed on both additive and multiplicative scales. RESULTS A total of 393,680 participants were included in the analysis, with 844 cases of late-onset schizophrenia being observed after 12.8 years of follow-up. Within 300 m buffer surrounding the residential addresses, per interquartile increase in greenspace (31.5 %) and total natural environment (34.4 %) were both associated with an 11 % (HR = 0.89, 95 % CI 0.80, 0.99) lower risk of late-onset schizophrenia. Domestic garden and blue space did not show significant protective effects on late-onset schizophrenia. A strong dose-response relationship between schizophrenia PRS and schizophrenia was found, while no additive or multiplicative interaction effects were present between residential environments and PRS on late-onset schizophrenia. CONCLUSION Residential greenspace and total natural environment may protect against late-onset schizophrenia in older people regardless of genetic risk. These findings shed light on the prevention of schizophrenia and urban planning to optimise ecosystem benefits linked to schizophrenia.
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Affiliation(s)
- Chen Shen
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK; National Institute for Health Research Health Protection Research Unit in Chemical and Radiation Threats and Hazards, Imperial College London, UK
| | - Xinning Tong
- Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-Sen University, China
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Qian Yang
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Huiyong Shen
- Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-Sen University, China; Department of Clinical Research, The Eighth Affiliated Hospital, Sun Yat-sen University, China
| | - Xiaoxin I Yao
- Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-Sen University, China; Department of Clinical Research, The Eighth Affiliated Hospital, Sun Yat-sen University, China.
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Grover S, Varadharajan N, Venu S. Urbanization and psychosis: an update of recent evidence. Curr Opin Psychiatry 2024; 37:191-201. [PMID: 38441163 DOI: 10.1097/yco.0000000000000931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
PURPOSE OF REVIEW Urbanization, a complex global phenomenon, has a significant bearing on schizophrenia/psychosis burden through various socioeconomic and environmental factors. This review focuses on recent evidence (2019-2023) linking urbanization, schizophrenia, and the role of green space. RECENT FINDINGS This review analyzed 43 articles that examined the correlation between urban birth or upbringing, urban living (urbanicity), and various schizophrenia/psychosis-related outcomes such as incidence, psychotic experiences, etc. The studies showed differing results across geographical locations. Socioeconomic factors like area deprivation, migrant status (ethnic density) and social fragmentation were independently associated with the risk of schizophrenia/psychosis irrespective of urbanicity. More recently, environmental factors such as green space reduction and air pollution have been explored in urban living conditions and were positively associated with an increased risk of schizophrenia/psychosis. SUMMARY There is a need for further investigation in low and middle-income countries. The impact of urbanization-related factors and green space on the risk of schizophrenia/psychosis calls for appropriate governmental commitments toward structured and healthy urban planning.
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Affiliation(s)
- Sandeep Grover
- Department of Psychiatry, Post Graduate Institute of Medical Education & Research (PGIMER), Chandigarh, Punjab
| | - Natarajan Varadharajan
- Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER)
| | - Sandesh Venu
- Department of Psychiatry, Pondicherry Institute of Medical Sciences (PIMS), Kalapet, Puducherry, India
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Freymueller J, Schmid HL, Senkler B, Lopez Lumbi S, Zerbe S, Hornberg C, McCall T. Current methodologies of greenspace exposure and mental health research-a scoping review. Front Public Health 2024; 12:1360134. [PMID: 38510363 PMCID: PMC10951718 DOI: 10.3389/fpubh.2024.1360134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 02/20/2024] [Indexed: 03/22/2024] Open
Abstract
Introduction Greenspaces can provide an important resource for human mental health. A growing body of literature investigates the interaction and the influence of diverse greenspace exposures. In order to gain a comprehensive understanding of the complex connection between greenspace and mental health, a variety of perspectives and methodological combinations are needed. The aim of this review is to assess the current methodologies researching greenspace and mental health. Methods A scoping review was conducted. Four electronic databases (Pubmed, Embase, PsycInfo, Web of Science) were searched for relevant studies. A wide range of greenspace and mental health keywords were included to provide a comprehensive representation of the body of research. Relevant information on publication characteristics, types of greenspaces, mental health outcomes, and measurements of greenspace exposure and mental health was extracted and assessed. Results 338 studies were included. The included studies encompassed a multitude of methods, as well as outcomes for both greenspace and mental health. 28 combinations were found between seven categories each for greenspace and mental health assessment. Some pairings such as geoinformation systems for greenspace assessment and questionnaires investigating mental health were used much more frequently than others, implying possible research gaps. Furthermore, we identified problems and inconsistences in reporting of greenspace types and mental health outcomes. Discussion The identified methodological variety is a potential for researching the complex connections between greenspace and mental health. Commonly used combinations can provide important insights. However, future research needs to emphasize other perspectives in order to understand how to create living environments with mental health benefits. For this purpose, interdisciplinary research is necessary.
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Affiliation(s)
- Julius Freymueller
- Medical School OWL, Department of Sustainable Environmental Health Sciences, Bielefeld University, Bielefeld, Germany
| | - Hannah-Lea Schmid
- Medical School OWL, Department of Sustainable Environmental Health Sciences, Bielefeld University, Bielefeld, Germany
| | - Ben Senkler
- Medical School OWL, Department of Sustainable Environmental Health Sciences, Bielefeld University, Bielefeld, Germany
| | - Susanne Lopez Lumbi
- Medical School OWL, Department of Sustainable Environmental Health Sciences, Bielefeld University, Bielefeld, Germany
| | - Stefan Zerbe
- Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
- Institute of Geography, University of Hildesheim, Hildesheim, Germany
| | - Claudia Hornberg
- Medical School OWL, Department of Sustainable Environmental Health Sciences, Bielefeld University, Bielefeld, Germany
| | - Timothy McCall
- Medical School OWL, Department of Sustainable Environmental Health Sciences, Bielefeld University, Bielefeld, Germany
- School of Public Health, Department of Environment and Health, Bielefeld University, Bielefeld, Germany
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8
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Zhang Y, Wu T, Yu H, Fu J, Xu J, Liu L, Tang C, Li Z. Green spaces exposure and the risk of common psychiatric disorders: A meta-analysis. SSM Popul Health 2024; 25:101630. [PMID: 38405164 PMCID: PMC10885792 DOI: 10.1016/j.ssmph.2024.101630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 02/07/2024] [Accepted: 02/13/2024] [Indexed: 02/27/2024] Open
Abstract
Objective To explore the effects of green spaces exposure on common psychiatric disorders. Methods PubMed, Embase, Web of Science and MEDLINE were screened and articles published prior to November 15, 2023 were included. Analyses were performed on common psychiatric disorders, categorized into depression, anxiety, dementia, schizophrenia, and attention deficit hyperactivity disorder (ADHD). And the subgroup analyses were conducted for depression, anxiety, dementia, and schizophrenia. Results In total, 2,0064 studies were retrieved, 59 of which were included in our study; 37 for depression, 14 for anxiety, 8 for dementia, 7 for schizophrenia and 5 for ADHD. Green spaces were found to benefit the moderation of psychiatric disorders (OR = 0.91, 95% CI: 0.89 to 0.92). Green spaces positively influence depression (OR = 0.89, 95% CI: 0.86 to 0.93), regardless of the cross-sectional or cohort studies. Green spaces can also help mitigate the risk of anxiety (OR = 0.94, 95%CI:0.92 to 0.96). As an important index for measuring green spaces, a higher normalized difference vegetation index (NDVI) level related to a lower level of depression (OR = 0.95, 95%CI:0.91 to 0.98) and anxiety (OR = 0.95, 95%:0.92 to 0.98). The protection was also found in dementia (OR = 0.95, 95% CI: 0.93 to 0.96), schizophrenia (OR = 0.74, 95% CI: 0.67 to 0.82), and ADHD (OR = 0.89, 95% CI: 0.86 to 0.92) results. Conclusion Green spaces decrease the risk of psychiatric disorders, including depression, anxiety, dementia, schizophrenia, and ADHD. Further studies on green spaces and psychiatric disorders are needed, and more green spaces should be considered in city planning.
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Affiliation(s)
- Yimin Zhang
- School of Public Health, Health Science Center, Ningbo University, Ningbo, China
| | - Tongyan Wu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, China
| | - Hao Yu
- Department of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Urology, The Second Clinical Medical College of Nanjing Medical University, Nanjing, China
| | - Jianfei Fu
- Department of Medical Records and Statistics, Ningbo First Hospital, Ningbo, China
| | - Jin Xu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, China
| | - Liya Liu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, China
| | - Chunlan Tang
- School of Public Health, Health Science Center, Ningbo University, Ningbo, China
| | - Zhen Li
- School of Public Health, Health Science Center, Ningbo University, Ningbo, China
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9
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Goldblatt R, Holz N, Tate G, Sherman K, Ghebremicael S, Bhuyan SS, Al-Ajlouni Y, Santillanes S, Araya G, Abad S, Herting MM, Thompson W, Thapaliya B, Sapkota R, Xu J, Liu J, Schumann G, Calhoun VD. "Urban-Satellite" estimates in the ABCD Study: Linking Neuroimaging and Mental Health to Satellite Imagery Measurements of Macro Environmental Factors. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.11.06.23298044. [PMID: 37986844 PMCID: PMC10659457 DOI: 10.1101/2023.11.06.23298044] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
While numerous studies over the last decade have highlighted the important influence of environmental factors on mental health, globally applicable data on physical surroundings are still limited. Access to such data and the possibility to link them to epidemiological studies is critical to unlocking the relationship of environment, brain and behaviour and promoting positive future mental health outcomes. The Adolescent Brain Cognitive Development (ABCD) Study is the largest ongoing longitudinal and observational study exploring brain development and child health among children from 21 sites across the United States. Here we describe the linking of the ABCD study data with satellite-based "Urban-Satellite" (UrbanSat) variables consisting of 11 satellite-data derived environmental indicators associated with each subject's residential address at their baseline visit, including land cover and land use, nighttime lights, and population characteristics. We present these UrbanSat variables and provide a review of the current literature that links environmental indicators with mental health, as well as key aspects that must be considered when using satellite data for mental health research. We also highlight and discuss significant links of the satellite data variables to the default mode network clustering coefficient and cognition. This comprehensive dataset provides the foundation for large-scale environmental epidemiology research.
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Affiliation(s)
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany
| | - Garrett Tate
- New Light Technologies, Inc., Washington, DC 20012
| | - Kari Sherman
- New Light Technologies, Inc., Washington, DC 20012
| | | | - Soumitra S Bhuyan
- Edward J. Bloustein School of Planning and Public Policy, Rutgers University- New Brunswick
| | - Yazan Al-Ajlouni
- New York Medical College School of Medicine, Valhalla, NY 10595, USA
| | | | | | - Shermaine Abad
- Department of Radiology, University of California, San Diego, 92093
| | - Megan M. Herting
- University of Southern California, Keck School of Medicine of USC, Los Angeles, CA, 90089
| | - Wesley Thompson
- Laureate Institute for Brain Research, Tulsa, Oklahoma, 74136, USA
| | - Bishal Thapaliya
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
| | - Ram Sapkota
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
| | - Jiayuan Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Jingyu Liu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
| | | | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, P.R. China
- PONS Centre, Dept. of Psychiatry and Neuroscience, CCM, Charite University Medicine Berlin, Germany
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
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Pignon B, Szöke A, Ku B, Melchior M, Schürhoff F. Urbanicity and psychotic disorders: Facts and hypotheses. DIALOGUES IN CLINICAL NEUROSCIENCE 2023; 25:122-138. [PMID: 37994794 PMCID: PMC10986450 DOI: 10.1080/19585969.2023.2272824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/16/2023] [Indexed: 11/24/2023]
Abstract
In the present qualitative literature review, we summarise data on psychotic disorders and urbanicity, focusing particularly on recent findings. Longitudinal studies of the impact of urbanicity on the risk for psychotic disorders have consistently shown a significant association, with a relative risk between 2 and 2.5. However, most of the original studies were conducted in Western Europe, and no incidence studies were conducted in low- and middle-income countries. European studies suggest that neighbourhood-level social fragmentation and social capital may partly explain this association. Exposure to air pollution (positive association) and green space (negative association) may also be part of the explanation, but to date, available data do not make it possible to conclude if they act independently from urbanicity, or as part of the effect of urbanicity on psychotic disorders. Finally, several studies have consistently shown significant associations between the polygenic risk score for schizophrenia and urbanicity, with several possible explanations (pleiotropic effects, results of prodromic symptoms, or selection/intergenerational hypothesis). Thus, more studies are needed to understand the factors that explain the association between urbanicity and the risk of psychotic disorders. Further studies should account for the interdependence and/or interactions of different psychosocial and physical exposures (as well as gene-environment interactions), and explore this association in low- and middle-income countries.
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Affiliation(s)
- Baptiste Pignon
- AP-HP, Hôpitaux Universitaires “H. Mondor”, DMU IMPACT, INSERM, IMRB, translational Neuropsychiatry, Fondation FondaMental, Univ Paris-Est-Créteil (UPEC), Créteil, France
| | - Andrei Szöke
- AP-HP, Hôpitaux Universitaires “H. Mondor”, DMU IMPACT, INSERM, IMRB, translational Neuropsychiatry, Fondation FondaMental, Univ Paris-Est-Créteil (UPEC), Créteil, France
| | - Benson Ku
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Maria Melchior
- Sorbonne Université, INSERM, Institut Pierre Louis d‘Épidémiologie Et de Santé Publique, IPLESP, Equipe de Recherche en Epidémiologie Sociale, ERES, Paris, France
| | - Franck Schürhoff
- AP-HP, Hôpitaux Universitaires “H. Mondor”, DMU IMPACT, INSERM, IMRB, translational Neuropsychiatry, Fondation FondaMental, Univ Paris-Est-Créteil (UPEC), Créteil, France
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11
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O’Donoghue B, Michel C, Thompson KN, Cavelti M, Eaton S, Betts JK, Fowler C, Luebbers S, Kaess M, Chanen AM. Neighbourhood characteristics and the treated incidence rate of borderline personality pathology among young people. Aust N Z J Psychiatry 2023; 57:1263-1270. [PMID: 36864694 PMCID: PMC10466981 DOI: 10.1177/00048674231157274] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
OBJECTIVE The impact of the wider social environment, such as neighbourhood characteristics, has not been examined in the development of borderline personality disorder. This study aimed to determine whether the treated incidence rate of full-threshold borderline personality disorder and sub-threshold borderline personality disorder, collectively termed borderline personality pathology, was associated with the specific neighbourhood characteristics of social deprivation and social fragmentation. METHOD This study included young people, aged 15-24 years, who attended Orygen's Helping Young People Early programme, a specialist early intervention service for young people with borderline personality pathology, from 1 August 2000-1 February 2008. Diagnoses were confirmed using the Structured Clinical Interview for DSM-IV Personality Disorders, and census data from 2006 were used to determine the at-risk population and to obtain measures of social deprivation and fragmentation. RESULTS The study included 282 young people, of these 78.0% (n = 220) were female and the mean age was 18.3 years (SD = ±2.7). A total of 42.9% (n = 121) met criteria for full-threshold borderline personality disorder, and 57.1% (n = 161) had sub-threshold borderline personality disorder, defined as having three or four of the nine Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV) borderline personality disorder criteria. There was more than a sixfold increase in the treated incidence rate of borderline personality pathology in the neighbourhoods of above average deprivation (Quartile 3) (incidence rate ratio = 6.45, 95% confidence interval: [4.62, 8.98], p < 0.001), and this was consistent in the borderline personality disorder sub-groups. This association was also present in the most socially deprived neighbourhood (Quartile 4) (incidence rate ratio = 1.63, 95% confidence interval: [1.10, 2.44]), however, only for those with sub-threshold borderline personality disorder. The treated incidence of borderline personality pathology increased incrementally with the level of social fragmentation (Quartile 3: incidence rate ratio = 1.93, 95% confidence interval: [1.37, 2.72], Quartile 4: incidence rate ratio = 2.38, 95% confidence interval: [1.77, 3.21]). CONCLUSION Borderline personality pathology has a higher treated incidence in the more socially deprived and fragmented neighbourhoods. These findings have implications for funding and location of clinical services for young people with borderline personality pathology. Prospective, longitudinal studies should examine neighbourhood characteristics as potential aetiological factors for borderline personality pathology.
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Affiliation(s)
- Brian O’Donoghue
- Department of Psychiatry, University College Dublin, Dublin, Ireland
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Chantal Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Katherine N Thompson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Marialuisa Cavelti
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | | | - Jennifer K Betts
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Stefan Luebbers
- Centre for Forensic Behavioural Science, Swinburne University of Technology, Alphington, VIC, Australia
| | - Michael Kaess
- Centre for Forensic Behavioural Science, Swinburne University of Technology, Alphington, VIC, Australia
- Clinic for Child and Adolescent Psychiatry, Centre for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Andrew M Chanen
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
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12
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Wei N, Wang S, Li X, Pan R, Yi W, Song J, Liu L, Liu J, Yuan J, Song R, Cheng J, Su H. The association between greenery type and gut microbiome in schizophrenia: did all greenspaces play the equivalent role? ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:100006-100017. [PMID: 37624502 DOI: 10.1007/s11356-023-29419-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 08/17/2023] [Indexed: 08/26/2023]
Abstract
In recent years, attention has been focused on the benefit of greenspace on mental health, and it is suggested this link may vary with the type of greenspace. More and more studies have emphasized the influence of the gut microbiome on schizophrenia (SCZ). However, the effects of greenspaces on the gut microbiota in SCZ and the effect of different types of greenspaces on the gut microbiota remain unclear. We aim to examine if there were variations in the effects of various greenspace types on the gut microbiome in SCZ. Besides, we sink to explore important taxonomic compositions associated with different greenspace types. We recruited 243 objects with schizophrenia from Anhui Mental Health Center and collected fecal samples for 16Sr RNA gene sequencing. Three types of greenery coverage were calculated with different circular buffers (800, 1500, and 3000 m) corresponding to individual addresses. The association between greenspace and microbiome composition was analyzed with permutational analysis of variance (PERMANOVA). We conducted the linear regression to capture specific gut microbiome taxa associated with greenery coverage. Tree coverage was consistently associated with microbial composition in both 1500 m (R2 = 0.007, P = 0.030) and 3000 m (R2 = 0.007, P = 0.039). In contrast, there was no association with grass cover in any of the buffer zones. In the regression analysis, higher tree coverage was significantly correlated with the relative abundance of several taxa. Among them, tree coverage was positively associated with increased Bifidobacterium longum (β = 1.069, P = 0.004), which was the dominant composition in the gut microbiota. The relationship between greenspace and gut microbiome in SCZ differed by the type of greenspace. Besides, "tree coverage" may present a dominant effect on the important taxonomic composition. Our findings might provide instructive evidence for the design of urban greenspace to optimize health and well-being in SCZ as well as the whole people.
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Affiliation(s)
- Ning Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China
| | - Shusi Wang
- Hefei Stomatological Hospital, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xuanxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China
| | - Li Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China
| | - Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China
| | - Jiajun Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China
| | - Rong Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, 230032, Anhui, China.
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13
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Schoenweger P, Kirschneck M, Biersack K, Di Meo AF, Reindl-Spanner P, Prommegger B, Ditzen-Janotta C, Henningsen P, Krcmar H, Gensichen J, Jung-Sievers C. Community indicators for mental health in Europe: a scoping review. Front Public Health 2023; 11:1188494. [PMID: 37538274 PMCID: PMC10396773 DOI: 10.3389/fpubh.2023.1188494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/19/2023] [Indexed: 08/05/2023] Open
Abstract
Background Community indicators may predict and influence individuals` mental health, and support or impede mental health management. However, there is no consensus on which indicators should be included in predictions, prognostic algorithms, or management strategies for community-based mental health promotion and prevention approaches. Therefore, this scoping review provides an overview of relevant community-level indicators for mental health in the general as well as risk populations in a European context. Methods We conducted a scoping review in the following electronic databases: PubMed, Embase, and PsycInfo. Eligible studies focused on context factors such as either the physical or social environment, reporting at least one mental health outcome and referring to a European population. Publications between 2012 and March 8, 2022 are considered. Results In total, the search yielded 12,200 identified records. After the removal of duplicates, 10,059 records were screened against the eligibility criteria. In total, 169 studies were included in the final analysis. Out of these included studies, 6% focused on pan-European datasets and 94% on a specific European country. Populations were either general or high-risk populations (56 vs. 44%, respectively) with depressive disorder as the main reported outcome (49%), followed by general mental health (33%) and anxiety (23%). Study designs were cross-sectional studies (59%), longitudinal (27%), and others (14%). The final set of indicators consisted of 53 indicators, which were grouped conceptually into 13 superordinate categories of community indicators. These were divided into the domains of the physical and social environment. The most commonly measured and reported categories of community indicators associated with mental health outcomes were social networks (n = 87), attitudinal factors toward vulnerable groups (n = 76), and the characteristics of the built environment (n = 56). Conclusion This review provides an evidence base of existing and novel community-level indicators that are associated with mental health. Community factors related to the physical and social environment should be routinely recorded and considered as influencing factors or potentially underestimated confounders. The relevance should be analyzed and included in clinical outcomes, data, monitoring and surveillance as they may reveal new trends and targets for public mental health interventions.
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Affiliation(s)
- Petra Schoenweger
- Institute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Michaela Kirschneck
- Institute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Katharina Biersack
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital, Technical University of Munich, Munich, Germany
| | - Anna-Francesca Di Meo
- Institute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Philipp Reindl-Spanner
- TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Barbara Prommegger
- TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Claudia Ditzen-Janotta
- Institute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Peter Henningsen
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital, Technical University of Munich, Munich, Germany
| | - Helmut Krcmar
- TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Jochen Gensichen
- Institute of General Practice and Family Medicine, University Hospital of Ludwig-Maximilians-University Munich, Munich, Germany
| | - Caroline Jung-Sievers
- Institute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
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14
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Liu L, Wu Q, Li X, Song R, Wei N, Liu J, Yuan J, Yan S, Sun X, Liang Y, Li Y, Jin X, Wu Y, Mei L, Song J, Yi W, Pan R, Cheng J, Su H. Sunshine duration and risks of schizophrenia hospitalizations in main urban area: Do built environments modify the association? THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 871:162057. [PMID: 36758693 DOI: 10.1016/j.scitotenv.2023.162057] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Although studies have explored the relationship between sunshine duration and schizophrenia, the evidence was ambiguous. Different built environments may alter the effect of sunlight on schizophrenia, thus the purpose of this study was to investigate the effects of built environments on the sunshine duration-schizophrenia association. MATERIALS AND METHODS Daily schizophrenia hospitalizations data during 2017-2020 in Hefei's main urban area, China, and corresponding meteorological factors as well as ambient pollutants were collected. The impact of sunshine duration on schizophrenia admissions in urban areas was investigated using a generalized additive model combined with a distributed lagged nonlinear model. Additionally, the various modifying effects of different Building Density, Building Height, Normalized Vegetation Index, and Nighttime Light were also explored between sunshine duration and schizophrenia. RESULTS We observed that inadequate sunshine duration (<5.3 h) was associated with an increase in schizophrenia hospital admissions, with a maximum relative risk of 1.382 (95 % confidence interval (CI): 1.069-1.786) at 2.9 h. In turn, adequate sunshine duration reduced the risk of schizophrenia hospitalizations. Subgroup analyses indicated females and old patients were particularly vulnerable. In the case of insufficient sunshine duration, significant positive effects were noticed on schizophrenia risk at High-Building Density and High-Nighttime Light. Higher NDVI as well as Building Height were found to be associated with lower risks of schizophrenia. CONCLUSIONS Given that sunshine duration in various built environments might lead to distinct effects on schizophrenia hospitalizations. Our findings assist in identifying vulnerable populations that reside in particular areas, thus suggesting policymakers provide advice to mitigate the onset of schizophrenia by allocating healthcare resources rationally and avoiding adverse exposures to vulnerable populations timely.
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Affiliation(s)
- Li Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Qing Wu
- Anhui Mental Health Center, Hefei, Anhui, China
| | - Xuanxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Rong Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Ning Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jiajun Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Shuangshuang Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Xiaoni Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Yunfeng Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Yuxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Xiaoyu Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Yudong Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Lu Mei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China.
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15
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Ibrahim FA, Mehta UM, Thekkumkara SN, Rakesh KR, Swetha G, Kumar CN, Kumar KJ, Narayana A, Ravisundar S, Satyanarayana P, Thirthalli J. Multivariate associations between cognition and neighborhood geospatial characteristics in schizophrenia. Asian J Psychiatr 2023; 84:103593. [PMID: 37084467 DOI: 10.1016/j.ajp.2023.103593] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 04/06/2023] [Accepted: 04/14/2023] [Indexed: 04/23/2023]
Abstract
Cognitive impairment contributes to functional impairment in schizophrenia. Yet, little is known about how environmental characteristics are related to cognition in schizophrenia. By examining how cognition and the environment are intertwined, it may be possible to identify modifiable risk and protective factors that can improve cognitive outcomes in schizophrenia. We aimed to identify multivariate associations between cognition and three geospatial characteristics (built-space density, habitable green spaces, and public spaces for social interaction) within one's immediate neighborhood among individuals with schizophrenia. We recruited participants with schizophrenia from three sites - an urban metropolitan and two towns in southern India. We administered standard cognitive assessments and performed a principal axis factoring to identify episodic memory, cognitive control, and social inference-making factors for use in further analyses. We estimated geospatial characteristics of an individual's neighborhood, i.e., up to 1 km2 around the residence, by sourcing data from Google Earth. We performed unconditional and conditional (to examine the effect of clinical covariates) canonical correlation analyses to understand the multivariate relationship between cognition and geospatial characteristics. We analyzed data from 208 participants; the first canonical cognitive variate (higher social inference-making and poorer cognitive control) shared 24% of the variance (r = 0.49; P < 0.001) with the first geospatial variate (lower built density and poorer access to public spaces). Years of education, age at onset, and place of residence significantly modulated this relationship. We observe differential associations of the built environment with social and non-social cognition in schizophrenia, and highlight the clinical and demographic characteristics that shape these associations.
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Affiliation(s)
- Ferose Azeez Ibrahim
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Urvakhsh Meherwan Mehta
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India.
| | - Sreekanth N Thekkumkara
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - K R Rakesh
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - G Swetha
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - C Naveen Kumar
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Keshav J Kumar
- Clinical Psychology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | | | | | | | - Jagadisha Thirthalli
- Department of Psychiatry National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
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16
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Pignon B, Borel C, Lajnef M, Richard JR, Szöke A, Hemery F, Leboyer M, Foret G, Schürhoff F. PM 2.5 and PM 10 air pollution peaks are associated with emergency department visits for psychotic and mood disorders. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:88577-88586. [PMID: 35834080 PMCID: PMC9281271 DOI: 10.1007/s11356-022-21964-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 07/07/2022] [Indexed: 05/05/2023]
Abstract
Particulate matters with a diameter of less than 10 µm (PM10) or less than 2.5 µm (PM2.5) are major air pollutants. Their relationship to psychiatric disorders has not yet been extensively studied. We aimed to explore the relationship between PM10 and PM2.5 air pollution peaks and the daily number of emergency visits for psychotic and mood disorders. Clinical data were collected from the Emergency Department of a Paris suburb (Créteil, France) from 2008 to 2018. Air pollution data were measured by the Paris region air quality network (Airparif) and collected from public databases. Pollution peak periods were defined as days for which the daily mean level of PM was above nationally predefined warning thresholds (20 µg/m3 for PM2.5, and 50 µg/m3 for PM10), and the 6 following days. Multivariable analyses compared the number of daily visits for psychotic and mood (unipolar and bipolar) disorders according to pollution peak, using negative binomial regression. After adjustment on meteorological variables (temperature, humidity, amount of sunshine in minutes), the daily number of emergency visits for psychotic disorders was significantly higher during PM2.5 and PM10 air pollution peak periods; while the number of visits for unipolar depressive disorders was higher only during PM10 peak periods (β = 0.059, p-value = 0.034). There were no significant differences between peak and non-peak periods for bipolar disorders. Differences in the effects of PM air pollution on psychotic and mood disorders should be analyzed in further studies.
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Affiliation(s)
- Baptiste Pignon
- Univ Paris Est Créteil, INSERM, IMRB, AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, Fondation FondaMental, 94010, Créteil, France.
| | - Cynthia Borel
- Univ Paris Est Créteil, INSERM, IMRB, AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, Fondation FondaMental, 94010, Créteil, France
| | - Mohamed Lajnef
- Univ Paris Est Créteil, INSERM, IMRB, AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, Fondation FondaMental, 94010, Créteil, France
| | - Jean-Romain Richard
- Univ Paris Est Créteil, INSERM, IMRB, AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, Fondation FondaMental, 94010, Créteil, France
| | - Andrei Szöke
- Univ Paris Est Créteil, INSERM, IMRB, AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, Fondation FondaMental, 94010, Créteil, France
| | - François Hemery
- Service d'information Médical, Hôpitaux Universitaire Henri-Mondor, 94000, Créteil, France
| | - Marion Leboyer
- Univ Paris Est Créteil, INSERM, IMRB, AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, Fondation FondaMental, 94010, Créteil, France
| | - Gilles Foret
- Univ Paris Est Créteil and Université de Paris, CNRS, LISA, 94010, Créteil, France
| | - Franck Schürhoff
- Univ Paris Est Créteil, INSERM, IMRB, AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, Fondation FondaMental, 94010, Créteil, France
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Valladares A, Bornstein L, Botero N, Gold I, Sayanvala F, Weinstock D. From scary places to therapeutic landscapes: Voices from the community of people living with schizophrenia. Health Place 2022; 78:102903. [PMID: 36174464 DOI: 10.1016/j.healthplace.2022.102903] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 08/16/2022] [Accepted: 08/24/2022] [Indexed: 11/19/2022]
Abstract
This article discusses how people living with schizophrenia experience, understand, and respond to their urban environment. Our study relies on experiential photo-voice data gathered with a sample of six people diagnosed with schizophrenia and living in non-institutional settings in Montréal, Canada, to identify how individuals in this community perceive the urban landscape. We adopt a therapeutic landscapes' framework that explores the urban fabric at three levels: physical, social, and symbolic. Research participants identified both health-denying and health-enhancing places within ordinary urban landscapes. Landscapes identified as health-denying are characterized by environmental stressors and loss of control, with construction sites an example highlighted by participants. Healing and restorative landscapes, as identified by participants, were physically attractive or quiet, socially safe and welcoming, and symbolically affirmative of one's identity, all factors worthy of further study. The findings are also policy-relevant: they suggest that people living with schizophrenia and their clinicians can develop strategies to make health-enhancing uses of urban landscapes; and that urban policies and practices can foster urban environments conducive to enhanced health and well-being, both for the community of people living with schizophrenia and the wider population of urban dwellers.
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Affiliation(s)
| | | | - Nicolás Botero
- McGill University, Department of Cognitive Science, Canada
| | - Ian Gold
- McGill University, Department of Philosophy, Canada
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18
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Sprague NL, Bancalari P, Karim W, Siddiq S. Growing up green: a systematic review of the influence of greenspace on youth development and health outcomes. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2022; 32:660-681. [PMID: 35614136 PMCID: PMC9482936 DOI: 10.1038/s41370-022-00445-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 05/05/2023]
Abstract
Youth growing up in places with more greenspaces have better developmental outcomes. The literature on greenspace and youth development is largely cross-sectional, thus limited in terms of measuring development and establishing causal inference. We conducted a systematic review of prospective, longitudinal studies measuring the association between greenspace exposure and youth development outcomes measured between ages two and eighteen. We searched Cochrane, PubMed, CINAHL, Scopus, and Environment Complete, and included prospective cohort, quasi-experimental, and experimental studies on greenspace and youth development. Study quality was assessed using a 10-item checklist adapted from a previously published review on greenspace and health. Twenty-eight studies met criteria for review and were grouped into five thematic categories based on reported outcomes: cognitive and brain development, mental health and wellbeing, attention and behavior, allergy and respiratory, and obesity and weight. Seventy-nine percent of studies suggest an association between greenspace and improved youth development. Most studies were concentrated in wealthy, Western European countries, limiting generalizability of findings. Key opportunities for future research include: (1) improved uniformity of standards in measuring greenspace, (2) improved measures to account for large latency periods between greenspace exposure and developmental outcomes, and (3) more diverse study settings and populations.
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Affiliation(s)
- Nadav L Sprague
- Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Pilar Bancalari
- Columbia University Mailman School of Public Health, New York, NY, USA
| | - Wasie Karim
- Columbia University Mailman School of Public Health, New York, NY, USA
| | - Shabnaz Siddiq
- Columbia University Mailman School of Public Health, New York, NY, USA
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19
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Bereziartua A, Chen J, de Hoogh K, Rodopoulou S, Andersen ZJ, Bellander T, Brandt J, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Arthur Hvidtfeldt U, Verschuren WMM, Jöckel KH, Jørgensen JT, Katsouyanni K, Ketzel M, Hjertager Krog N, Brynedal B, Leander K, Liu S, Ljungman P, Faure E, Magnusson PKE, Nagel G, Pershagen G, Peters A, Raaschou-Nielsen O, Renzi M, Rizzuto D, Samoli E, van der Schouw YT, Schramm S, Severi G, Stafoggia M, Strak M, Sørensen M, Tjønneland A, Weinmayr G, Wolf K, Zitt E, Brunekreef B, Hoek G. Exposure to surrounding greenness and natural-cause and cause-specific mortality in the ELAPSE pooled cohort. ENVIRONMENT INTERNATIONAL 2022; 166:107341. [PMID: 35717714 DOI: 10.1016/j.envint.2022.107341] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/28/2022] [Accepted: 06/08/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The majority of studies have shown higher greenness exposure associated with reduced mortality risks, but few controlled for spatially correlated air pollution and traffic noise exposures. We aim to address this research gap in the ELAPSE pooled cohort. METHODS Mean Normalized Difference Vegetation Index (NDVI) in a 300-m grid cell and 1-km radius were assigned to participants' baseline home addresses as a measure of surrounding greenness exposure. We used Cox proportional hazards models to estimate the association of NDVI exposure with natural-cause and cause-specific mortality, adjusting for a number of potential confounders including socioeconomic status and lifestyle factors at individual and area-levels. We further assessed the associations between greenness exposure and mortality after adjusting for fine particulate matter (PM2.5), nitrogen dioxide (NO2) and road traffic noise. RESULTS The pooled study population comprised 327,388 individuals who experienced 47,179 natural-cause deaths during 6,374,370 person-years of follow-up. The mean NDVI in the pooled cohort was 0.33 (SD 0.1) and 0.34 (SD 0.1) in the 300-m grid and 1-km buffer. In the main fully adjusted model, 0.1 unit increment of NDVI inside 300-m grid was associated with 5% lower risk of natural-cause mortality (Hazard Ratio (HR) 0.95 (95% CI: 0.94, 0.96)). The associations attenuated after adjustment for air pollution [HR (95% CI): 0.97 (0.96, 0.98) adjusted for PM2.5; 0.98 (0.96, 0.99) adjusted for NO2]. Additional adjustment for traffic noise hardly affected the associations. Consistent results were observed for NDVI within 1-km buffer. After adjustment for air pollution, NDVI was inversely associated with diabetes, respiratory and lung cancer mortality, yet with wider 95% confidence intervals. No association with cardiovascular mortality was found. CONCLUSIONS We found a significant inverse association between surrounding greenness and natural-cause mortality, which remained after adjusting for spatially correlated air pollution and traffic noise.
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Affiliation(s)
- Ainhoa Bereziartua
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Zorana J Andersen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - interdisciplinary Center for Climate Change, Aarhus University, Denmark.
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy; School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, UK.
| | - Ole Hertel
- Department of Ecoscience, Aarhus University, Roskilde, Denmark.
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Germany.
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands and Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
| | - Jeanette T Jørgensen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Environmental Research Group, School of Public Health, Imperial College London, London, UK.
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom.
| | - Norun Hjertager Krog
- Section of Air Pollution and Noise, Norwegian Institute of Public Health, Norway.
| | - Boel Brynedal
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Shuo Liu
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden.
| | - Elodie Faure
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France.
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Chair of Epidemiology, Ludwig Maximilians Universität München, Munich, Germany.
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark.
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy.
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden.
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Germany.
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy.
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy.
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark.
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Diet, Genes and Environment (DGE), Denmark.
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria.
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
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Plana-Ripoll O, Di Prinzio P, McGrath JJ, Mortensen PB, Morgan VA. Factors that contribute to urban-rural gradients in risk of schizophrenia: Comparing Danish and Western Australian registers. Aust N Z J Psychiatry 2021; 55:1157-1165. [PMID: 33985345 DOI: 10.1177/00048674211009615] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
INTRODUCTION An association between schizophrenia and urbanicity has long been observed, with studies in many countries, including several from Denmark, reporting that individuals born/raised in densely populated urban settings have an increased risk of developing schizophrenia compared to those born/raised in rural settings. However, these findings have not been replicated in all studies. In particular, a Western Australian study showed a gradient in the opposite direction which disappeared after adjustment for covariates. Given the different findings for Denmark and Western Australia, our aim was to investigate the relationship between schizophrenia and urbanicity in these two regions to determine which factors may be influencing the relationship. METHODS We used population-based cohorts of children born alive between 1980 and 2001 in Western Australia (N = 428,784) and Denmark (N = 1,357,874). Children were categorised according to the level of urbanicity of their mother's residence at time of birth and followed-up through to 30 June 2015. Linkage to State-based registers provided information on schizophrenia diagnosis and a range of covariates. Rates of being diagnosed with schizophrenia for each category of urbanicity were estimated using Cox proportional hazards models adjusted for covariates. RESULTS During follow-up, 1618 (0.4%) children in Western Australia and 11,875 (0.9%) children in Denmark were diagnosed with schizophrenia. In Western Australia, those born in the most remote areas did not experience lower rates of schizophrenia than those born in the most urban areas (hazard ratio = 1.02 [95% confidence interval: 0.81, 1.29]), unlike their Danish counterparts (hazard ratio = 0.62 [95% confidence interval: 0.58, 0.66]). However, when the Western Australian cohort was restricted to children of non-Aboriginal Indigenous status, results were consistent with Danish findings (hazard ratio = 0.46 [95% confidence interval: 0.29, 0.72]). DISCUSSION Our study highlights the potential for disadvantaged subgroups to mask the contribution of urban-related risk factors to risk of schizophrenia and the importance of stratified analysis in such cases.
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Affiliation(s)
| | - Patsy Di Prinzio
- Neuropsychiatric Epidemiology Research Unit, School of Population and Global Health, The University of Western Australia, Perth, WA, Australia
| | - John J McGrath
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.,Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, QLD, Australia.,Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - Preben B Mortensen
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.,Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark.,Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Vera A Morgan
- Neuropsychiatric Epidemiology Research Unit, School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.,Centre for Clinical Research in Neuropsychiatry, The University of Western Australia, Perth, WA, Australia
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21
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Li D, Menotti T, Ding Y, Wells NM. Life Course Nature Exposure and Mental Health Outcomes: A Systematic Review and Future Directions. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18105146. [PMID: 34066287 PMCID: PMC8152056 DOI: 10.3390/ijerph18105146] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 05/04/2021] [Accepted: 05/05/2021] [Indexed: 12/18/2022]
Abstract
Recently, an emerging body of literature has examined the relationships between early life nature exposure and mental health in later life; however, no critical synthesis yet exists regarding the extent and strength of these relationships. This study presents the first systematic review of studies in this growing area. Following the PRISMA framework, we searched six databases (i.e., Scopus, Web of Science, MEDLINE, Embase, PsycINFO, and CINAHL); conducted identification, screening, eligibility, and inclusion analyses; and identified a final set of 29 articles. The review set comprises primarily longitudinal studies, with several cross-sectional studies using retrospective measures of childhood nature exposure. The majority of included studies were published between 2016 and 2020 and conducted in Europe and North America. Five domains of mental health outcomes are associated with early-life nature exposure: incidence of mental disorders, psychiatric symptoms and emotions, conduct problems in children, cognitive function, and subjective well-being. The evidence lends support to an overall beneficial role of early nature exposure on mental health, although inconsistencies are reported. Taken together, the evidence does not suggest that exposure at any given life stage is more saliently associated with mental health outcomes than at others. We discuss the validity concerns and methodological remedies and offer directions for future research.
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Affiliation(s)
- Dongying Li
- Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA; (T.M.); (Y.D.)
- Correspondence:
| | - Tess Menotti
- Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA; (T.M.); (Y.D.)
| | - Yizhen Ding
- Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA; (T.M.); (Y.D.)
| | - Nancy M. Wells
- Department of Design and Environmental Analysis, College of Human Ecology, Cornell University, Ithaca, NY 14853, USA;
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22
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Pignon B, Eaton S, Schürhoff F, Szöke A, McGorry P, O'Donoghue B. Temporal variation in the incidence of treated psychotic disorders in young people. Schizophr Res 2021; 231:221-226. [PMID: 33895599 DOI: 10.1016/j.schres.2021.03.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 03/05/2021] [Accepted: 03/28/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION The incidence of psychotic disorders varies between geographical areas, however less is known about whether it varies over time in the same region. Analyzing this temporal variation of incidence could improve the allocation of healthcare resources and our understanding of the aetiology of psychotic disorders. This study aimed to determine whether there was a change in the incidence of psychotic disorders over a six-year period. METHODS Young people aged 15 to 24 presenting with a first episode of psychosis (FEP) attending an early intervention service in Melbourne between 2011 and 2016 were included. The population at-risk was determined from the two corresponding census periods and analyses were adjusted for age, sex and migrant status. RESULTS A total of 1217 young people presented with a FEP over the six-year period and the crude incidence rate in 2011 was 102.4 per 100,000 population at-risk, compared to 125.4 in 2016. There was an increase in the incidence by 33% in 2015 (aIRR = 1.33, 95% CI 1.09-1.63) and 28% in 2016 (aIRR = 1.28, 95% CI 1.05-1.56). When examined according to diagnostic groups, there was an increase in the incidence of substance-induced psychotic disorders among females in 2015 (aIRR = 4.62, 95% CI 1.02-20.8). DISCUSSION This study shows significant temporal variations in the incidence of treated psychotic disorders. These findings demonstrate that early intervention services should continually monitor incidence case numbers and funding should be provided accordingly, to ensure the required intensive and comprehensive treatments can be sustained.
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Affiliation(s)
- Baptiste Pignon
- Univ Paris-Est-Créteil (UPEC), AP-HP, Hôpitaux Universitaires "H.Mondor", DMU IMPACT, INSERM, IMRB, translational Neuropsychiatry, Fondation FondaMental, F-94010 Creteil, France
| | - Scott Eaton
- Orygen, 35 Poplar rd, Parkville, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Franck Schürhoff
- Univ Paris-Est-Créteil (UPEC), AP-HP, Hôpitaux Universitaires "H.Mondor", DMU IMPACT, INSERM, IMRB, translational Neuropsychiatry, Fondation FondaMental, F-94010 Creteil, France
| | - Andrei Szöke
- Univ Paris-Est-Créteil (UPEC), AP-HP, Hôpitaux Universitaires "H.Mondor", DMU IMPACT, INSERM, IMRB, translational Neuropsychiatry, Fondation FondaMental, F-94010 Creteil, France
| | - Patrick McGorry
- Orygen, 35 Poplar rd, Parkville, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Brian O'Donoghue
- Orygen, 35 Poplar rd, Parkville, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia.
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Ebisch SJH. The Self and Its Nature: A Psychopathological Perspective on the Risk-Reducing Effects of Environmental Green Space for Psychosis. Front Psychol 2020; 11:531840. [PMID: 33262717 PMCID: PMC7686509 DOI: 10.3389/fpsyg.2020.531840] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 10/21/2020] [Indexed: 11/15/2022] Open
Abstract
Epidemiological studies have shown that environmental green space contributes to the reduction of psychosis incidence in the population. Clarifying the psychological and neuro-functional mechanisms underlying the risk-decreasing effects of green surroundings could help optimize preventive environmental interventions. This perspective article specifically aims to open a new window on the link between environmental green space and psychosis by considering its core psychopathological features. Psychotic disorders, such as schizophrenia, are essentially characterized by self-disturbances. The psychological structure of the self has been described as a multidimensional phenomenon that emerges from the reciprocal interaction with the environment through intrinsic and extrinsic self-processes. The intrinsic self refers to the experience of mental activity and environmental information as inherently related to one’s own person, which involves self-referential processing, self-reflection, memory, interoception, and emotional evaluation. The extrinsic self refers to sensorimotor interactions with the environment and the sense of agency, that is, the experience of being the source of one’s own actions and the multisensory consequences thereof. In psychosis, anomalous self-processing has been related to a functional fragmentation of intrinsic and extrinsic self-processes and related brain networks. Moreover, evidence from cognitive neuroscience suggests that green space could have beneficial effects on self-related processing. Based on the literature, it could be hypothesized that self-processing is involved in mediating the beneficial effects of green space for psychosis. Considering the multidimensionality of the self, it is proposed that urban green space design aimed at improving mental health ideally impacts the complexity of self-facets and thus restores the individual’s self.
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Affiliation(s)
- Sjoerd J H Ebisch
- Department of Neuroscience, Imaging and Clinical Sciences, Institute of Advanced Biomedical Technologies (ITAB), G. d'Annunzio University of Chieti-Pescara, Chieti, Italy
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Families, Health Registers, and Biobanks: Making the Unmeasurable Measurable. Biol Psychiatry 2020; 88:440-441. [PMID: 32854830 DOI: 10.1016/j.biopsych.2020.06.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 06/29/2020] [Indexed: 11/23/2022]
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