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Lan Y, Roberts H, Kwan MP, Helbich M. Transportation noise exposure and anxiety: A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2020; 191:110118. [PMID: 32835678 DOI: 10.1016/j.envres.2020.110118] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 08/12/2020] [Accepted: 08/14/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Exposure to transportation noise is hypothesized to contribute to anxiety, but consistent associations have not been established. OBJECTIVE To provide a comprehensive synthesis of the literature by examining associations between traffic-related noise (i.e., road traffic noise, railway noise, aircraft noise and mixed traffic noise) and anxiety. METHODS We systematically searched Web of Science, Scopus, Embase, PubMed, and PsycINFO for English-language observational studies published up to February 2020 reporting on the traffic noise-anxiety association. We appraised the risk of bias using an assessment tool and the quality of evidence following established guidelines. A random-effects meta-analysis was performed for pooled and separated traffic-related noise sources. RESULTS Of the 3575 studies identified, 11 fulfilled the inclusion criteria and 9 studies were appropriate for meta-analysis. For the pooled overall effect size between transport noise and anxiety, we found 9% higher odds of anxiety associated with a 10 dB(A) increase in day-evening-night noise level (Lden), with moderate heterogeneity (OR = 1.09, 95% CI: [0.97; 1.23], I2 = 70%). The association was more likely to be significant with more severe anxiety (OR = 1.08, 95% CI: [1.01; 1.15], I2 = 48%). Sub-group analysis revealed that the effects of different noise sources on anxiety were inconsistent and insignificant. The quality of evidence was rated as very low to low. CONCLUSIONS Our findings support the hypothesis of an association between traffic noise and more severe anxiety. More high-quality studies are needed to confirm associations between different noise types and anxiety, as well as to better understand underlying mechanisms.
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Affiliation(s)
- Yuliang Lan
- Department of Human Geography and Spatial Planning, Utrecht University, the Netherlands.
| | - Hannah Roberts
- Department of Human Geography and Spatial Planning, Utrecht University, the Netherlands
| | - Mei-Po Kwan
- Department of Human Geography and Spatial Planning, Utrecht University, the Netherlands; Department of Geography and Resource Management and Institute of Space and Earth Information Science, Chinese University of Hong Kong, Hong Kong, China
| | - Marco Helbich
- Department of Human Geography and Spatial Planning, Utrecht University, the Netherlands
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Li H, Zhang S, Qian ZM, Xie XH, Luo Y, Han R, Hou J, Wang C, McMillin SE, Wu S, Tian F, Deng WF, Lin H. Short-term effects of air pollution on cause-specific mental disorders in three subtropical Chinese cities. ENVIRONMENTAL RESEARCH 2020; 191:110214. [PMID: 32946889 DOI: 10.1016/j.envres.2020.110214] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 08/25/2020] [Accepted: 09/09/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The effects of ambient air pollution on specific mental disorders are rarely studied, and the reported results are inconsistent. OBJECTIVE To assess the short-term effect of ambient air pollution on the morbidity of mental disorders in three subtropical Chinese cities. METHODS Daily concentrations of air pollution were averaged from 19 fixed monitoring stations across each city, and data on patients were collected from three psychiatric specialty hospitals. A time-series study combined with a generalized additive Poisson model was conducted to investigate the association between air pollution and mental disorders. The exposure-response relationships were explored and stratified analyses by age and sex were conducted. RESULTS A total of 1,133,220 outpatient visits were recorded in three subtropical cities (Huizhou, Shenzhen, and Zhaoqing). The number of daily outpatient visits for mental disorders increased with higher air pollutant (PM2.5, PM10, SO2 and NO2) concentrations, and the effect of NO2 appeared to be consistently significant across the three cities, with excess risk (ER) of 4.45% (95% CI: 2.90%, 6.04%) in Huizhou, 7.94% (95% CI: 6.28%, 9.62%) in Shenzhen, and 2.19% (95% CI: 0.51%, 3.89%) in Zhaoqing, respectively, at lag03. We also observed significant effect of PM2.5 at lag0 (ER = 1.20%, 95% CI: 0.28%, 2.13%), PM10 at lag0 (ER = 0.99%, 95% CI: 0.36%, 1.62%), and SO2 at lag0 (ER = 10.74%, 95% CI: 3.20%, 18.84%) in Shenzhen. For specific mental disorders, significant associations were found in all the air pollutants except between SO2 and affective disorder and between PM2.5 and schizophrenia. In addition, we found that air pollution exhibited stronger effects for males and adults (≥18 years). CONCLUSION Acute exposure to air pollution, especially NO2, might be an important trigger of mental disorders.
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Affiliation(s)
- Huan Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, USA
| | - Xin-Hui Xie
- Brain Function and Psychosomatic Medicine Institute, The Second People's Hospital of Huizhou, Huizhou, Guangdong, China
| | - Yang Luo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Rong Han
- Department of Psychiatry, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Jiesheng Hou
- The Third People's Hospital of Zhaoqing, Guangdong, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, USA
| | - Shaowei Wu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, China
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Wen-Feng Deng
- Brain Function and Psychosomatic Medicine Institute, The Second People's Hospital of Huizhou, Huizhou, Guangdong, China.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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53
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Roberts H, van Lissa C, Helbich M. Perceived neighbourhood characteristics and depressive symptoms: Potential mediators and the moderating role of employment status. Soc Sci Med 2020; 268:113533. [PMID: 33308908 DOI: 10.1016/j.socscimed.2020.113533] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 08/18/2020] [Accepted: 11/15/2020] [Indexed: 02/07/2023]
Abstract
Multiple neighbourhood characteristics have been linked to depressive symptoms. However, few studies have simultaneously considered multiple mechanisms that explain this relationship, and how they might interact. Further, most studies regard exposure to the residential environment as constant, and therefore disregard variation in exposure by individual factors. This study investigates whether and to what extent stress and physical activity mediate the association between neighbourhood characteristics and depression, and also to what extent employment status moderates this relationship. A population-representative survey of n = 11,505 people in the Netherlands was conducted. Depressive symptoms were measured using the Patient Health Questionnaire (PHQ-9). Neighbourhood characteristics were perceived green and blue space, pleasantness, environmental disturbance, social cohesion and safety. Employment status was combined with place of work to establish two groups: those who were non-working or who worked from home ('at home'), and those who worked somewhere outside of the home ('working'). Multi-group structural equation modelling was employed to understand the theorised relationships for both groups. Perceived environmental disturbance, social cohesion and safety were significantly indirectly related to depressive symptoms via stress, with larger effect sizes in the 'at home' group. Pleasantness was also significantly indirectly related to depressive symptoms via stress, in the 'at home' group only. There was no evidence for physical activity as a mediator. Our findings suggest that neighbourhood social characteristics may have a greater influence on depressive symptoms than physical characteristics. Stress appears to be a key mediator of this relationship. In addition, the neighbourhood appears to exert a greater influence on those who spend more time in their neighbourhood. Interventions to promote mental health should focus on the social environment, and in particular pay attention to those who are spatially confined in poorer quality neighbourhoods.
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Affiliation(s)
- Hannah Roberts
- Department of Human Geography and Spatial Planning, Utrecht University, the Netherlands.
| | - Caspar van Lissa
- Department of Methodology and Statistics, Utrecht University, the Netherlands
| | - Marco Helbich
- Department of Human Geography and Spatial Planning, Utrecht University, the Netherlands
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Hahad O, Beutel ME, Gilan DA, Michal M, Daiber A, Münzel T. [Impact of environmental risk factors such as noise and air pollution on mental health: What do we know?]. Dtsch Med Wochenschr 2020; 145:1701-1707. [PMID: 32757179 DOI: 10.1055/a-1201-2155] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
An increasing number of studies underlines the role of noise and air pollution as important environmental risk factors. It is unclear, how noise and air pollution impact mental health. Current study results indicate that environmental noise (in particular traffic noise) and various components of air pollution (in particular particulate matter) can increase the risk of mental disorders such as depression, anxiety disorders, psychoses and suicide. Pathophysiological mechanisms include both biological (such as oxidative stress and inflammation) and psychosocial factors (such as mental stress). Environmental risk factors such as noise and air pollution can have a significant impact on mental health. Due to the partly heterogeneous study results and the limited availability of methodically high-quality longitudinal studies, further studies are absolutely necessary, which allow deeper insights into these relationships.
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Affiliation(s)
- Omar Hahad
- Zentrum für Kardiologie - Kardiologie I, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Mainz, Deutschland
- Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Standort Rhein-Main, Deutschland
| | - Manfred E Beutel
- Klinik und Poliklinik für psychosomatische Medizin und Psychotherapie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Mainz, Deutschland
| | - Donya A Gilan
- Leibniz-Institut für Resilienzforschung (LIR), Mainz, Deutschland
- Klinik für Psychiatrie und Psychotherapie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Mainz, Deutschland
| | - Matthias Michal
- Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Standort Rhein-Main, Deutschland
- Klinik und Poliklinik für psychosomatische Medizin und Psychotherapie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Mainz, Deutschland
| | - Andreas Daiber
- Zentrum für Kardiologie - Kardiologie I, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Mainz, Deutschland
- Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Standort Rhein-Main, Deutschland
| | - Thomas Münzel
- Zentrum für Kardiologie - Kardiologie I, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Mainz, Deutschland
- Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Standort Rhein-Main, Deutschland
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He S, Song D, Jian WY. The Association between Urbanization and Depression among the Middle-Aged and Elderly: A Longitudinal Study in China. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2020; 57:46958020965470. [PMID: 33095089 PMCID: PMC7585885 DOI: 10.1177/0046958020965470] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Urbanization has been and will continue to be the mainstream trend of global population movement, including China. Depression is the most common mental disorders and the leading factor of disabilities. However, the impacts of urbanization on the depression occurrence are still unclear. This paper analyzed the data from 3 waves of the China Health and Retirement Longitudinal Study (CHARLS) with sample size as 8510 adults representing the middle aged and elderly group in China. Depression was identified and measured by the 10-item Center for Epidemiological Studies Depression Scale (CESD-10). Urbanization level was measured by population density, GDP per capita and secondary/tertiary industry as percentage to GDP in the China City Statistical Yearbook. The fixed effect regression model was used to explore the association between the changes of urbanization and depression. As result, depression is closely related to the urbanization, protective effects are found for 3 indicators above: The depression prevalence decreases while urbanization level increases (from lowest urbanization level to the highest: P < 0.01). Among the 10 depression symptoms, "Bothered", "Reduced energy leading to diminished activity" and "Hopelessness" are the most significantly improved with urbanization. The impact of urbanization on residents' mental health is a long-term, multi-factor interaction. Therefore we need to fully consider all possible influencing factors, and longer follow-up study to verify.
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Affiliation(s)
- Shan He
- Peking University Health Science Center, Beijing, P.R. China
| | - Duo Song
- Peking University Health Science Center, Beijing, P.R. China
| | - Wei-Yan Jian
- Peking University Health Science Center, Beijing, P.R. China
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Elwadhi D, Cohen A. Social inequalities in antidepressant treatment outcomes: a systematic review. Soc Psychiatry Psychiatr Epidemiol 2020; 55:1241-1259. [PMID: 32666210 DOI: 10.1007/s00127-020-01918-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 07/02/2020] [Indexed: 11/29/2022]
Abstract
PURPOSE To identify, review and synthesize evidence on whether social disadvantage moderates antidepressant treatment outcomes, even when access to treatment is not a consideration. METHODS The systematic review was done in accordance with PRIMSA guidelines. An a priori systematic search strategy was used to search databases (MEDLINE, PsychINFO, EMBASE, Global Health and Cochrane Trials Library) from their earliest entries through December 31, 2018. A two-step screening procedure was followed, and all experimental studies of antidepressant treatment in ICD/DSM diagnosed cases of depression were included. Studies with subjects < 18 years or investigating other modalities of treatment were excluded. RESULTS Thirteen papers reporting analyses from nine studies met inclusion criteria. There was heterogeneity in sample sizes, target populations, treatment settings, clinical outcomes and definition of SES indices. The primary outcome was the relative effect of socioeconomic status (SES) (as measured by income, employment status and level of education)-on antidepressant treatment outcomes. CONCLUSIONS The evidence from this review suggests that lower SES may lead to social inequalities in antidepressant treatment outcomes even in the context of clinical trials in which all participants have equal access to the same high-quality, standardized care. The review calls for more careful consideration of the choice and operationalization of SES indicators, and the need to "employ sampling methods that ensure ample representation of individuals from a wide range of social worlds". The review concludes with tentative suggestions about how to reduce social inequalities in antidepressant treatment outcomes at the level of individuals and populations.
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Affiliation(s)
- Deeksha Elwadhi
- Central Locality Team, Haringey Adult Mental Health Services, St Ann's Hospital, Barnet, Enfield and Haringey Mental Health Trust, London, UK.
| | - Alex Cohen
- Dept of Epidemiology, Harvard-TH Chan School of Public Health, Boston, MA, USA.,Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK
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Traffic Noise and Mental Health: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17176175. [PMID: 32854453 PMCID: PMC7503511 DOI: 10.3390/ijerph17176175] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 08/19/2020] [Accepted: 08/20/2020] [Indexed: 01/03/2023]
Abstract
Recent evidence suggests that traffic noise may negatively impact mental health. However, existing systematic reviews provide an incomplete overview of the effects of all traffic noise sources on mental health. We conducted a systematic literature search and summarized the evidence for road, railway, or aircraft noise-related risks of depression, anxiety, cognitive decline, and dementia among adults. We included 31 studies (26 on depression and/or anxiety disorders, 5 on dementia). The meta-analysis of five aircraft noise studies found that depression risk increased significantly by 12% per 10 dB LDEN (Effect Size = 1.12, 95% CI 1.02–1.23). The meta-analyses of road (11 studies) and railway traffic noise (3 studies) indicated 2–3% (not statistically significant) increases in depression risk per 10 dB LDEN. Results for road traffic noise related anxiety were similar. We did not find enough studies to meta-analyze anxiety and railway or aircraft noise, and dementia/ cognitive impairment and any traffic noise. In conclusion, aircraft noise exposure increases the risk for depression. Otherwise, we did not detect statistically significant risk increases due to road and railway traffic noise or for anxiety. More research on the association of cognitive disorders and traffic noise is required. Public policies to reduce environmental traffic noise might not only increase wellness (by reducing noise-induced annoyance), but might contribute to the prevention of depression and anxiety disorders.
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Vichi M, Vitiello B, Ghirini S, Pompili M. Does population density moderate suicide risk? An Italian population study over the last 30 years. Eur Psychiatry 2020; 63:e70. [PMID: 32605671 PMCID: PMC7443791 DOI: 10.1192/j.eurpsy.2020.69] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background. The relationship between population density and suicide risk remains unclear. While urbanization is associated with greater risk for psychopathology, higher suicide rates have been reported in rural areas. We examined population density and suicide in the Italian population in the last 30 years. Methods. The Italian National Institute of Statistics databases of the Italian population aged 15 years and older (52.4 million in 2016) were used to compute age-adjusted annual total mortality and suicide rates for the years 1985–2016. According to the European Union statistical office (EUROSTAT) criteria, municipalities were classified into densely populated areas, intermediate density areas, or thinly populated areas. Rate ratios (RRs) were computed by sex, age, and geographical area, using densely populated areas as reference. Results. Total mortality was not associated with population density. In males, suicide rate increased with decreasing population density (RR = 1.17, 95% confidence interval [CI]:1.08–1.28, in intermediate population areas, and RR = 1.32, 95% CI: 1.20–1.45, in thinly populated areas, in 2016). This inverse relationship was found across age, geographical areas, and consecutively over 22 years (1994–2016). In females, no significant difference was detected (RR = 0.96, 95% CI: 0.82–1.13 in intermediate density areas and RR = 1.02, 95% CI: 0.85–1.22 in thinly populated areas). Hanging was the most common suicide method among males, more frequent in thinly (58.8%) than intermediate (53.2%) or densely (41.4%) populated areas. Conclusions. A consistent and temporally stable inverse relationship between population density and suicide was found in the male, but not female, population. Men may be more vulnerable to adverse social and economic factors associated with lower population density.
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Affiliation(s)
- Monica Vichi
- Statistical Service, Istituto Superiore di Sanità, Rome, Italy
| | - Benedetto Vitiello
- Department of Public Health and Pediatric Sciences, Università degli Studi di Torino, Turin, Italy.,Department of Mental Health, School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Silvia Ghirini
- National Centre on Addiction and Substance Abuse, Istituto Superiore di Sanità, Rome, Italy
| | - Maurizio Pompili
- Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
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Weiss B, Dang HM, Lam TT, Nguyen MC. Urbanization, and child mental health and life functioning in Vietnam: implications for global health disparities. Soc Psychiatry Psychiatr Epidemiol 2020; 55:673-683. [PMID: 32055892 PMCID: PMC7276283 DOI: 10.1007/s00127-020-01838-4] [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: 10/10/2019] [Accepted: 02/03/2020] [Indexed: 11/28/2022]
Abstract
PURPOSE Urbanization is linked to increased health risks, including mental health. However, the large majority of this research has been conducted in high-income countries, and little is known about effects in low-and-middle-income countries (LMIC) where urbanization is occurring most frequently and most rapidly. Within global mental health, children and adolescents are a critical but understudied population. The present study assessed relations between urbanization factors, and child mental health in Vietnam, a Southeast Asian LMIC. METHODS Most studies investigating urbanization and mental health have used geographically based dichotomous urban vs. rural variables. Because of significant limitations with this approach, the present study assessed parent-reported urbanization factors (e.g., pollution, crime). In Sub-study #1 (cross-sectional), 1314 parents from 10 Vietnam provinces completed the Urbanization Factors Questionnaire, Child Behavior Checklist (mental health), and Brief Impairment Scale (life functioning). In Sub-study #2 (longitudinal), 256 parents from one highly urban and one highly rural province completed the same measures, at three timepoints across 12 months. RESULTS Cross-sectional canonical correlations identified relatively small (e.g., R2 = 0.08) but significant relations between urbanization factors, and child functioning. Parallel analyses using a geographically defined urban vs. rural variable did not produce significant results. The large majority of longitudinal relations between the different urbanization factors and child functioning were non-significant. CONCLUSIONS This study, among the first to assess urbanization as a multi-dimensional continuous construct in relation to child psychopathology, highlights the value of the use of an urbanization factors approach. A new "urbanization factors differentials" theory is proposed to suggest how effects of urbanization factors might result in global health disparities.
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Affiliation(s)
- Bahr Weiss
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA.
| | - Hoang-Minh Dang
- University of Education, Vietnam National University, Hanoi, Vietnam
| | | | - Minh C. Nguyen
- University of Education, Vietnam National University, Hanoi, Vietnam
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Helbich M, Hagenauer J, Roberts H. Relative importance of perceived physical and social neighborhood characteristics for depression: a machine learning approach. Soc Psychiatry Psychiatr Epidemiol 2020; 55:599-610. [PMID: 31728559 DOI: 10.1007/s00127-019-01808-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 11/09/2019] [Indexed: 11/30/2022]
Abstract
PURPOSE The physical and social neighborhood environments are increasingly recognized as determinants for depression. There is little evidence on combined effects of multiple neighborhood characteristics and their importance. Our aim was (1) to examine associations between depression severity and multiple perceived neighborhood environments; and (2) to assess their relative importance. METHODS Cross-sectional data were drawn from a population-representative sample (N = 9435) from the Netherlands. Depression severity was screened with the Patient Health Questionnaire (PHQ-9) and neighborhood perceptions were surveyed. Supervised machine learning models were employed to assess depression severity-perceived neighborhood environment associations. RESULTS We found indications that neighborhood social cohesion, pleasantness, and safety inversely correlate with PHQ-9 scores, while increasing perceived distance to green space and traffic were correlated positively. Perceived distance to blue space and urbanicity seemed uncorrelated. Young adults, low-income earners, low-educated, unemployed, and divorced persons were more likely to have higher PHQ-9 scores. Neighborhood characteristics appeared to be less important than personal attributes (e.g., age, marital and employment status). Results were robust across different ML models. CONCLUSIONS This study suggested that the perceived social environment plays, independent of socio-demographics, a role in depression severity. Contrasted with person-level and social neighborhood characteristics, the prominence of the physical neighborhood environment should not be overstated.
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Affiliation(s)
- Marco Helbich
- Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands.
| | - Julian Hagenauer
- Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands
| | - Hannah Roberts
- Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands
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Abstract
PURPOSE OF REVIEW One of the defining trends of population movement in the last half century has been global urbanization. Depression is the most common mental disorder in the world, but it is unclear how urbanization and urban living affect depression outcomes. Grounded in a previously articulated conceptual framework, we systematically reviewed recently published studies on urbanization, urbanicity, and depression. RECENT FINDINGS Eleven articles were included in this review. Four studies found that living in urban areas was associated with elevated odds or more symptoms of depression. Three studies - all done in China - estimated protective effects of urbanization or urbanicity on depression. Two studies concluded no overall clear association. The remaining two articles stratified by urbanicity and found that greenspace was inversely associated with depression in more densely populated areas relative to rural areas. Other themes discussed included global and national trends such as aging, immigration, and planned urbanization in China, as well as urban living conditions such as traffic noise, air pollution, proximity to roadways, neighborhood social capital, and social cohesion. SUMMARY Urbanization may affect depression differentially across geographic regions and income levels. More research is needed, particularly in low-income and middle-income countries, and on intersections between urbanization and other emerging global trends.
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Baranyi G, Cherrie M, Curtis S, Dibben C, Pearce JR. Neighborhood Crime and Psychotropic Medications: A Longitudinal Data Linkage Study of 130,000 Scottish Adults. Am J Prev Med 2020; 58:638-647. [PMID: 32173163 DOI: 10.1016/j.amepre.2019.12.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 12/01/2019] [Accepted: 12/02/2019] [Indexed: 01/14/2023]
Abstract
INTRODUCTION Although neighborhood crime has been associated with mental health problems, longitudinal research utilizing objective measures of small-area crime and mental health service use is lacking. This study examines how local crime is associated with newly prescribed psychotropic medications in a large longitudinal sample of Scottish adults and explores whether the relationships vary between sociodemographic groups. METHODS Data from the Scottish Longitudinal Study, a 5.3% representative sample of the population, were linked with police-recorded crime in 2011 for residential locality and with psychotropic medications from 2009 to 2014, extracted from the prescription data set of National Health Service Scotland. Individuals receiving medication during the first 6 months of observation were excluded; the remaining sample was followed for 5.5 years. Covariate-adjusted, multilevel mixed-effects logistic models estimated associations between area crime and prescriptions for antidepressants, antipsychotics, and anxiolytics (analyzed in 2018-2019). RESULTS After adjustment for individual and neighborhood covariates, findings on 129,945 adults indicated elevated risk of antidepressant (OR=1.05, 95% CI=1.00, 1.10) and antipsychotic (OR=1.20, 95% CI=1.03, 1.39), but not anxiolytic (OR=0.99, 95% CI=0.93, 1.05) medication in high-crime areas. Crime showed stronger positive association with antidepressants among individuals (especially women) aged 24-53 years in 2009 and with antipsychotics among men aged 44-53 years in 2009. Skilled workers and people from lower nonmanual occupations had increased risk of medications in high-crime areas. CONCLUSIONS Local crime is an important predictor of mental health, independent of individual and other contextual risk factors. Place-based crime prevention and targeting vulnerable groups may have benefits for population mental health.
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Affiliation(s)
- Gergő Baranyi
- Center for Research on Environment Society and Health, School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom.
| | - Mark Cherrie
- Center for Research on Environment Society and Health, School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Sarah Curtis
- Center for Research on Environment Society and Health, School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom; Geography Department, Durham University, Durham, United Kingdom
| | - Chris Dibben
- Center for Research on Environment Society and Health, School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Jamie R Pearce
- Center for Research on Environment Society and Health, School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom
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Solmi F, Lewis G, Zammit S, Kirkbride JB. Neighborhood Characteristics at Birth and Positive and Negative Psychotic Symptoms in Adolescence: Findings From the ALSPAC Birth Cohort. Schizophr Bull 2020; 46:581-591. [PMID: 31167032 PMCID: PMC7147568 DOI: 10.1093/schbul/sbz049] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
BACKGROUND Urban birth is associated with risk of non-affective psychoses, but the association with subclinical positive and negative symptoms is less clear, despite emerging evidence. Further the extent to which these findings are confounded by polygenic risk scores (PRS) for schizophrenia is also unknown. METHODS Using data from the Avon Longitudinal Study of Parents and Children, linked to census geographical indicators, we examined whether various indices of urbanicity at birth were associated with negative and positive psychotic symptoms at age 16 and 18 years, respectively. We used logistic regression models, controlling for child's ethnicity, maternal age, education, marital status, social class, depressive symptoms, other neighborhood exposures, and, in a subsample of children of white ethnicity (N = 10 283), PRS for schizophrenia. RESULTS Amongst 11 879 adolescents, those born in the most densely populated tertile had greater odds of reporting positive psychotic experiences, after multivariable adjustment (odds ratio [OR]: 1.57, 95% confidence intervals (CIs): 1.14-2.17). Adolescents born in the most socially fragmented neighborhoods had greater odds of negative symptoms, after multivariable adjustment (OR: 1.43, 95% CI: 1.06-1.85). Although we found that greater schizophrenia PRS were associated with an increased risk of being born in more deprived and fragmented (bot not more densely populated areas), these associations were not confounded by PRS. INTERPRETATION Birth into more densely populated and socially fragmented environments increased risk of positive and negative psychotic phenomena in adolescence, respectively, suggesting that different forms of neighborhood social adversity may impinge on different psychopathophysiologies associated with the clinical expression of psychosis.
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Affiliation(s)
- Francesca Solmi
- Division of Psychiatry, UCL, London, UK,To whom correspondence should be addressed; 6th Floor, Maple House 149 Tottenham Court Road, London W1T 7NF, UK; tel: +44(0)20-7679-9643; e-mail:
| | | | - Stanley Zammit
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK,Centre for Mental Health, Addiction and Suicide Research, School of Social and Community Medicine, University of Bristol, Bristol, UK
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Díaz J, López-Bueno JA, López-Ossorio JJ, Gónzález JL, Sánchez F, Linares C. Short-term effects of traffic noise on suicides and emergency hospital admissions due to anxiety and depression in Madrid (Spain). THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 710:136315. [PMID: 31923678 DOI: 10.1016/j.scitotenv.2019.136315] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 12/16/2019] [Accepted: 12/22/2019] [Indexed: 06/10/2023]
Abstract
Studies show a relationship between some mental illnesses and suicides and different environmental variables such as air pollution, characterized by stress at the neuropsychological level. Despite the fact that traffic noise is also a powerful neurological stressor, studies that relate traffic noise to these mental disorders are practically non-existent. The objective is to analyze the short-term impact that chemical air pollution, traffic noise and thermal extremes have on emergency hospital admissions due to anxiety, dementia and suicides in the city of Madrid. This ecological, longitudinal study uses generalized linear models with Poisson link to analyze the short-term impact of the average daily concentrations of chemical pollutants (NO2, PM10, PM2.5, O3), noise pollution indicators (Leqday, Leqnight and Leq24h) and temperatures during heat waves (Theat) and cold waves (Tcold) on daily admissions to emergency services in the city of Madrid from 2010 to 2013 due to anxiety (ICD-10: F32), depression (ICD-10: F40-F42) and suicide (ICD-10: X60-X84). The results show no association between any of the chemical pollutants considered and the dependent variables studied. On the contrary, the values of Leqday are associated with the three variables analyzed in lag 0 for the cases of anxiety and depression and in lag 1 for suicides, with RR: 1.20 (IC95% 1.14 1.26), RR: 1.11 (IC95% 1.06 1.16) and RR: 1.17 (IC95% 1.05 1.30), respectively, for increases of 1 dB(A) in the values of Leqday. An association was also found between Tcold and admissions for anxiety in lag 9 with RR: 1.62 (IC95% 1.18 2.22) for increases of 1 °C in the values of Tcold. Traffic noise can be considered an important risk factor related to the illnesses and anxiety and depression and for suicides in the city of Madrid, although new studies are needed to support the findings shown here.
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Affiliation(s)
- J Díaz
- National School of Public Health Carlos III Institute of Health Madrid, Spain.
| | - J A López-Bueno
- National School of Public Health Carlos III Institute of Health Madrid, Spain
| | | | - J L Gónzález
- State Secretariat for Security Ministry of Interior Madrid, Spain
| | - F Sánchez
- State Secretariat for Security Ministry of Interior Madrid, Spain
| | - C Linares
- National School of Public Health Carlos III Institute of Health Madrid, Spain
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65
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Nowak AL, Giurgescu C, Templin TN, Dailey RK, Misra DP. How Depressive Symptoms among African American Women Relate to Measures of Social Disorder in Her Childhood and Pregnancy Neighborhood. J Urban Health 2020; 97:26-36. [PMID: 31950324 PMCID: PMC7010880 DOI: 10.1007/s11524-019-00409-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Pregnant African American women who report higher levels of social disorder (e.g., vacant housing, drug dealing) in their neighborhoods also report higher levels of depressive symptoms. The effects of social disorder in the neighborhood during childhood on depressive symptoms during pregnancy are not known. Also unknown is the interaction between social disorders in the neighborhood during childhood and during pregnancy regarding depressive symptoms during pregnancy. The purpose of this study was to examine whether higher levels of social disorder in the neighborhood during pregnancy buffered the association of social disorder in the neighborhood during childhood (at age 10 as reference) with depressive symptoms during pregnancy among African American women. We conducted a secondary data analysis of 1383 African American women from the Life-course Influences on Fetal Environments (LIFE) Study (Detroit, Michigan, 2009-2011). Women were interviewed in the hospital 24-72 h after the births. The Center for Epidemiological Studies-Depression (CES-D) scale measured depressive symptoms. Scales measuring social disorder in the neighborhood both during childhood and during pregnancy were also included in the interviews. Women with CES-D scores ≥ 16 were younger, were more likely to be single, and had lower levels of education and household income compared with women with CES-D < 16. There was a significant association between women who report social disorder in their neighborhoods during childhood and depressive symptoms during pregnancy. This effect was moderated by measures of social disorder in the neighborhood during pregnancy (p = .037). Women who reported both low levels of social disorder in their neighborhoods during childhood and during pregnancy had the lowest CES-D scores after controlling for maternal age, marital status, years of education, and family income. The model had a good fit to the data (χ2(6) = 6.36, p = .38). Health care providers should inquire about neighborhood conditions during childhood and during pregnancy and provide referrals for appropriate professional and community support for women who report social disorder in their neighborhoods and depressive symptoms.
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Affiliation(s)
| | - Carmen Giurgescu
- Professor and Associate Dean for Research Chatlos Foundation Endowed Chair in Nursing College of Nursing, University of Central Florida, 12201 Research Parkway, Suite 300, Orlando, FL, 32826, USA
| | - Thomas N Templin
- College of Nursing, Wayne State University, 321 Cohn Building 5557 Cass Ave., Detroit, MI, 48202, USA
| | - Rhonda K Dailey
- Division of Health Equity, Department of Family Medicine and Public Health Sciences School of Medicine, Wayne State University, 6135 Woodward Avenue, 2113, Detroit, MI, 48202, USA
| | - Dawn P Misra
- Division of Health Equity, Department of Family Medicine and Public Health Sciences School of Medicine, Wayne State University, 6135 Woodward Avenue, 2113, Detroit, MI, 48202, USA
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Clark C, Crumpler C, Notley H. Evidence for Environmental Noise Effects on Health for the United Kingdom Policy Context: A Systematic Review of the Effects of Environmental Noise on Mental Health, Wellbeing, Quality of Life, Cancer, Dementia, Birth, Reproductive Outcomes, and Cognition. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E393. [PMID: 31936110 PMCID: PMC7013411 DOI: 10.3390/ijerph17020393] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 12/23/2019] [Accepted: 12/24/2019] [Indexed: 12/12/2022]
Abstract
This systematic review commissioned by the UK Department for the Environment, Food and Rural Affairs (Defra), considers how the evidence base for noise effects on health has changed following the recent reviews undertaken for the WHO Environmental Noise Guidelines. This systematic review assesses the quality of the evidence for environmental noise effects on mental health, wellbeing, and quality of life; birth and reproductive outcomes; and cognition for papers published since the WHO reviews (mid-2015 to March 2019), as well as for cancer and dementia (January 2014 to March 2019). Using the GRADE methodology (Grading of Recommendations Assessment, Development and Evaluation) most evidence was rated as low quality as opposed to very low quality in the previous reviews. There is now low-quality evidence for a harmful effect of road traffic noise on medication use and interview measures of depression and anxiety and low quality evidence for a harmful effect of road traffic noise, aircraft noise, and railway noise on some cancer outcomes. Many other conclusions from the WHO evidence reviews remain unchanged. The conclusions remain limited by the low number of studies for many outcomes. The quantification of health effects for other noise sources including wind turbine, neighbour, industrial, and combined noise remains a research priority.
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Affiliation(s)
- Charlotte Clark
- Acoustics, Ove Arup & Partners, 13 Fitzroy Street, London W1T 4BQ, UK
| | - Clare Crumpler
- Acoustics, Ove Arup & Partners, 13 Fitzroy Street, London W1T 4BQ, UK
| | - Hilary Notley
- UK Department for the Environment, Food and Rural Affairs (Defra), Ground Floor, Seacole Building, 2 Marsham Street, London SW1P 4DF, UK;
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The Spatial Pattern of Urban Settlement in China from the 1980s to 2010. SUSTAINABILITY 2019. [DOI: 10.3390/su11236704] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The dynamic urbanization process of China has stimulated a massive growth of urban settlements in the past few decades. With the development of remote sensing technology and the release of the long-time Landsat archive, spatial characteristics of urban settlement are gradually analyzed on a large scale, and various patterns are developed for describing and analyzing it. However, the urban settlement patterns were mainly quantified by the landscape metrics in existing studies, the underlying features shaping urban settlement pattern were always neglected. In this study, we establish a systematic and comprehensive ‘urban development index system’ for describing China’s urban settlement pattern and its evolutions during the end of the 1980s through to 2010 by using a series of statistical methods. Results show that (1) urban settlement pattern in 2010 is quantified comparatively simpler and more completely than in the end of the 1980s; (2) urban settlements in western and eastern regions present integrated pattern and homogeneous attributes, while urban settlements in central and northeastern regions present relatively complex pattern and various attributes; (3) urban settlements with the most variable pattern are accompanied by the most dynamic population and economic capacity, followed by landscape dispersion. Topographic complexity of urban settlements generally remained unchanged or with slight fluctuations, therefore, it has limited influence on settlement pattern evolution.
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Environmental Noise-Induced Effects on Stress Hormones, Oxidative Stress, and Vascular Dysfunction: Key Factors in the Relationship between Cerebrocardiovascular and Psychological Disorders. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2019; 2019:4623109. [PMID: 31814877 PMCID: PMC6878772 DOI: 10.1155/2019/4623109] [Citation(s) in RCA: 115] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 08/20/2019] [Accepted: 08/27/2019] [Indexed: 12/14/2022]
Abstract
The role of noise as an environmental pollutant and its adverse effects on health are being increasingly recognized. Beyond its direct effects on the auditory system (e.g., hearing loss and tinnitus induced by exposure to high levels of noise), chronic low-level noise exposure causes mental stress associated with known cardiovascular complications. According to recent estimates of the World Health Organization, exposure to traffic noise is responsible for a loss of more than 1.5 million healthy life years per year in Western Europe alone, a major part being related to annoyance, cognitive impairment, and sleep disturbance. Underlying mechanisms of noise-induced mental stress are centered on increased stress hormone levels, blood pressure, and heart rate, which in turn favor the development of cerebrocardiovascular disease such as stroke, arterial hypertension, ischemic heart disease, and myocardial infarction. Furthermore, traffic noise exposure is also associated with mental health symptoms and psychological disorders such as depression and anxiety, which further increase maladaptive coping mechanisms (e.g., alcohol and tobacco use). From a molecular point of view, experimental studies suggest that traffic noise exposure can increase stress hormone levels, thereby triggering inflammatory and oxidative stress pathways by activation of the nicotinamide adenine dinucleotide phosphate oxidase, uncoupling of endothelial/neuronal nitric oxide synthase inducing endothelial and neuronal dysfunction. This review elucidates the mechanisms underlying the relationship between noise exposure and cerebrocardiovascular and psychological disorders, focusing on mental stress signaling pathways including activation of the autonomous nervous system and endocrine signaling and its association with inflammation, oxidative stress, and vascular dysfunction.
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69
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Dzhambov AM, Lercher P. Road Traffic Noise Exposure and Depression/Anxiety: An Updated Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E4134. [PMID: 31717834 PMCID: PMC6862094 DOI: 10.3390/ijerph16214134] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 10/24/2019] [Accepted: 10/24/2019] [Indexed: 02/07/2023]
Abstract
Unlike other World Health Organization evidence reviews, the systematic review on mental disorders could not provide a quantitative estimate of the effect of environmental noise. With that in mind, we aimed to update it with additional studies published through to 18 August 2019 in order to allow for a formal meta-analysis of the association of residential road traffic noise with anxiety and depression. The quality effects and random effects estimators were used for meta-analysis and the robustness of findings was tested in several sensitivity analyses. Ten studies were included in the qualitative synthesis, from which we extracted 15 estimates for depression (n = 1,201,168) and five for anxiety (n = 372,079). Almost all studies were cross-sectional and the risk of bias in them was generally high. We found 4% (95% CI: -3%, 11%) higher odds of depression and 12% (95% CI: -4%, 30%) of anxiety associated with a 10 dB(A) increase in day-evening-night noise level (Lden). Both models suffered from moderate heterogeneity (55% and 54%), but there was evidence of publication bias only in the depression model. These findings were robust with no evidence of study-level moderators. A sensitivity analysis on an alternative set of categorically-reported estimates supported a linear relationship between Lden and depression. Taking into account an overall quality assessment for the included studies, we conclude that there is evidence of "very low" quality that increasing exposure to road traffic noise may be associated with depression and anxiety.
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Affiliation(s)
- Angel M. Dzhambov
- Department of Hygiene and Ecomedicine, Faculty of Public Health, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria
| | - Peter Lercher
- Institute for Highway Engineering and Transport Planning, Graz University of Technology, 8010 Graz, Austria or
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70
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Seidler A, Hegewald J, Seidler AL, Schubert M, Zeeb H. Is the Whole More Than the Sum of Its Parts? Health Effects of Different Types of Traffic Noise Combined. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16091665. [PMID: 31086115 PMCID: PMC6539743 DOI: 10.3390/ijerph16091665] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 05/06/2019] [Accepted: 05/12/2019] [Indexed: 01/25/2023]
Abstract
Many epidemiological studies find that people exposed to aircraft, road or railway traffic noise are at increased risk of illness, including cardiovascular disease (CVD) and depression. It is unclear how the combined exposure to these different types of traffic noise affects disease risks. This study addresses this question with a large secondary data-based case-control study (“NORAH disease risk study”). The Akaike information criterion (AIC) is used to compare two different models estimating the disease risks of combined traffic noise. In comparison with the conventional energetic addition of noise levels, the multiplication of CVD risks as well as depression risks reveals a considerably better model fit as expressed by much lower AIC values. This is also the case when risk differences between different types of traffic noise are taken into account by applying supplements or reductions to the single traffic noise pressure levels in order to identify the best fitting energetic addition model. As a consequence, the conventionally performed energetic addition of noise levels might considerably underestimate the health risks of combined traffic noise. Based on the NORAH disease risk study, “epidemiological risk multiplication” seems to provide a better estimate of the health risks of combined traffic noise exposures compared to energetic addition. If confirmed in further studies, these results should imply consequences for noise protection measures as well as for traffic planning.
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Affiliation(s)
- Andreas Seidler
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany.
| | - Janice Hegewald
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany.
| | - Anna Lene Seidler
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany.
- NHMRC Clinical Trials Centre, University of Sydney, Sydney NSW 2050, Australia.
| | - Melanie Schubert
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany.
| | - Hajo Zeeb
- Department of Prevention and Evaluation, Leibniz-Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany.
- Health Sciences Bremen, University of Bremen, 28359 Bremen, Germany.
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Generaal E, Hoogendijk EO, Stam M, Henke CE, Rutters F, Oosterman M, Huisman M, Kramer SE, Elders PJM, Timmermans EJ, Lakerveld J, Koomen E, ten Have M, de Graaf R, Snijder MB, Stronks K, Willemsen G, Boomsma DI, Smit JH, Penninx BWJH. Neighbourhood characteristics and prevalence and severity of depression: pooled analysis of eight Dutch cohort studies. Br J Psychiatry 2019; 215:468-475. [PMID: 31057126 PMCID: PMC7872255 DOI: 10.1192/bjp.2019.100] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Studies on neighbourhood characteristics and depression show equivocal results.AimsThis large-scale pooled analysis examines whether urbanisation, socioeconomic, physical and social neighbourhood characteristics are associated with the prevalence and severity of depression. METHOD Cross-sectional design including data are from eight Dutch cohort studies (n = 32 487). Prevalence of depression, either DSM-IV diagnosis of depressive disorder or scoring for moderately severe depression on symptom scales, and continuous depression severity scores were analysed. Neighbourhood characteristics were linked using postal codes and included (a) urbanisation grade, (b) socioeconomic characteristics: socioeconomic status, home value, social security beneficiaries and non-Dutch ancestry, (c) physical characteristics: air pollution, traffic noise and availability of green space and water, and (d) social characteristics: social cohesion and safety. Multilevel regression analyses were adjusted for the individual's age, gender, educational level and income. Cohort-specific estimates were pooled using random-effects analysis. RESULTS The pooled analysis showed that higher urbanisation grade (odds ratio (OR) = 1.05, 95% CI 1.01-1.10), lower socioeconomic status (OR = 0.90, 95% CI 0.87-0.95), higher number of social security beneficiaries (OR = 1.12, 95% CI 1.06-1.19), higher percentage of non-Dutch residents (OR = 1.08, 95% CI 1.02-1.14), higher levels of air pollution (OR = 1.07, 95% CI 1.01-1.12), less green space (OR = 0.94, 95% CI 0.88-0.99) and less social safety (OR = 0.92, 95% CI 0.88-0.97) were associated with higher prevalence of depression. All four socioeconomic neighbourhood characteristics and social safety were also consistently associated with continuous depression severity scores. CONCLUSIONS This large-scale pooled analysis across eight Dutch cohort studies shows that urbanisation and various socioeconomic, physical and social neighbourhood characteristics are associated with depression, indicating that a wide range of environmental aspects may relate to poor mental health.Declaration of interestNone.
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Affiliation(s)
- Ellen Generaal
- Postdoctoral Researcher, Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health; and GGZ inGeest Specialized Mental Health Care, Research and Innovation, the Netherlands
| | - Emiel O. Hoogendijk
- Postdoctoral Researcher, Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health, the Netherlands
| | - Mariska Stam
- Postdoctoral Researcher, Amsterdam UMC, Vrije Universiteit Amsterdam, Section Ear & Hearing, Department of Otolaryngology-Head and Neck Surgery, Amsterdam Public Health, the Netherlands
| | - Celina E. Henke
- Data Manager, Amsterdam UMC, Vrije Universiteit Amsterdam, Section Ear & Hearing, Department of Otolaryngology-Head and Neck Surgery, Amsterdam Public Health, the Netherlands
| | - Femke Rutters
- Assistant Professor, Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health, the Netherlands
| | - Mirjam Oosterman
- Assistant Professor, Department of Clinical Child and Family Studies, Vrije Universiteit Amsterdam, the Netherlands
| | - Martijn Huisman
- Scientific Director, Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health; and Department of Sociology, Vrije Universiteit Amsterdam, the Netherlands
| | - Sophia E. Kramer
- Professor, Amsterdam UMC, Vrije Universiteit Amsterdam, Section Ear & Hearing, Department of Otolaryngology-Head and Neck Surgery, Amsterdam Public Health, the Netherlands
| | - Petra J. M. Elders
- GP/Senior Researcher, Department of General Practice and Elderly Care, Vrije Universiteit Amsterdam, the Netherlands
| | - Erik J. Timmermans
- Postdoctoral Researcher, Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health, the Netherlands
| | - Jeroen Lakerveld
- Senior Researcher, Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, Amsterdam Public Health, the Netherlands
| | - Eric Koomen
- Associate Professor, Spatial Information Laboratory, Department of Spatial Economics, Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam, the Netherlands
| | - Margreet ten Have
- Senior Researcher, Netherlands Institute of Mental Health and Addiction, the Netherlands
| | - Ron de Graaf
- Senior Researcher, Netherlands Institute of Mental Health and Addiction, the Netherlands
| | - Marieke B. Snijder
- Senior Researcher, Amsterdam UMC, University of Amsterdam, Department of Public Health, Amsterdam Public Health; and Amsterdam UMC, University of Amsterdam, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health, the Netherlands
| | - Karien Stronks
- Professor, Amsterdam UMC, University of Amsterdam, Department of Public Health, Amsterdam Public Health,the Netherlands
| | - Gonneke Willemsen
- Associate Professor, Department of Biological Psychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Dorret I. Boomsma
- Professor, Department of Biological Psychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Johannes H. Smit
- Professor, Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health; and GGZ inGeest Specialized Mental Health Care, Research and Innovation, the Netherlands
| | - Brenda W. J. H. Penninx
- Professor, Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health; and GGZ inGeest Specialized Mental Health Care, Research and Innovation, the Netherlands,Correspondence: Brenda W. J. H. Penninx, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
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Ventimiglia I, Seedat S. Current evidence on urbanicity and the impact of neighbourhoods on anxiety and stress-related disorders. Curr Opin Psychiatry 2019; 32:248-253. [PMID: 30920971 DOI: 10.1097/yco.0000000000000496] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW To synthesize recent knowledge on the association of urbanization (and neighbourhood factors) and anxiety and stress-related disorders. RECENT FINDINGS The quality of urban neighbourhoods and neighbourhood factors - physical (e.g. green space), social (e.g. social cohesion) and biological (e.g. stress response) factors - are directly linked to the presence and severity of anxiety disorders, although data on posttraumatic stress disorder (PTSD) are pauce. Preliminary data indicate that architectural and space design elements in PTSD can either increase anxiety and lead to trauma triggers or relieve symptoms and reinforce safety. In addition, there is emerging evidence that being raised in urban environments with a wide range of microbial exposure dampens the immune response to psychosocial stressors. SUMMARY Evidence points to a higher prevalence of anxiety disorders and PTSD in urban environments. Current research is focused on the role of neighbourhood factors in prevention and treatment. Few studies have assessed comprehensive treatment models in urban populations and the potential moderating role of these factors on treatment outcomes. Several lines of inquiry are starting to address how urban living impacts on biological stress regulation pathways. As urbanization continues, improved understanding of urban mental health is central to informing mental health promotion policies.
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Affiliation(s)
- Ilaria Ventimiglia
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
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Assari S, Gibbons FX, Simons R. Depression among Black Youth; Interaction of Class and Place. Brain Sci 2018; 8:E108. [PMID: 29895752 PMCID: PMC6025590 DOI: 10.3390/brainsci8060108] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 06/04/2018] [Accepted: 06/10/2018] [Indexed: 12/12/2022] Open
Abstract
Although high socioeconomic status (SES) is traditionally conceptualized as a health protective factor, recent literature has documented positive associations between SES (e.g., income) and depression among Blacks, including Black youth. To extend the results of this recent literature, the current study used the Family and Community Health Study (FACHS) data to examine the multiplicative effects of gender, place, and SES on average depressive symptoms of Black youth over a long period of time. FACHS, 1997⁻2017, followed 889 Black children aged 10⁻12 years old for up to 18 years. Depressive symptoms were measured in seven waves. The main predictors of interest were two SES indicators, parent education and family income measured at baseline (1997). Main outcome of interest was average depressive symptoms over the 18 year follow up period. Place of residence and gender were the focal moderators. Linear regression models were used for data analysis. In the pooled sample, living in a predominantly White area was associated with higher average depressive symptoms over time, however, this association was fully explained by higher perceived racial discrimination in the predominantly White areas. We found an interaction between income and place of residence on average depressive symptoms, suggesting that higher income is associated with more depressive symptoms in predominantly White compared to predominantly Black areas. Place did not interact with parent education on average depressive symptoms. Gender also did not interact with education or income on depressive symptoms. Findings suggest that place and SES may interact on depressive symptoms of Black youth, with high income becoming a risk factor for depressive symptoms in predominantly White areas. How SES indicators, such as income, protect or become a risk factor depend on other contextual factors, such as place of residence. There is a need to reduce discrimination experienced by Blacks, especially in predominantly White areas. Meanwhile, Black youth who live in predominantly White areas may require additional help that enhances their coping.
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Affiliation(s)
- Shervin Assari
- Department of Psychology, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.
- BRITE Center for Science, Research and Policy, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
- Center for Research on Ethnicity, Culture and Health, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
| | - Frederick X Gibbons
- Department of Psychological Sciences, University of Connecticut, Storrs, CT 06269, USA.
| | - Ronald Simons
- Department of Sociology, University of Georgia, Athens, GA 30602, USA.
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Timmermans EJ, Lakerveld J, Beulens JWJ, Boomsma DI, Kramer SE, Oosterman M, Willemsen G, Stam M, Nijpels G, Schuengel C, Smit JH, Brunekreef B, Dekkers JEC, Deeg DJH, Penninx BWJH, Huisman M. Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands. BMJ Open 2018; 8:e021597. [PMID: 29886447 PMCID: PMC6009540 DOI: 10.1136/bmjopen-2018-021597] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
PURPOSE In the Netherlands, a great variety of objectively measured geo-data is available, but these data are scattered and measured at varying spatial and temporal scales. The centralisation of these geo-data and the linkage of these data to individual-level data from longitudinal cohort studies enable large-scale epidemiological research on the impact of the environment on public health in the Netherlands. In the Geoscience and Health Cohort Consortium (GECCO), six large-scale and ongoing cohort studies have been enriched with a variety of existing geo-data. Here, we introduce GECCO by describing: (1) the phenotypes of the involved cohort studies, (2) the collected geo-data and their sources, (3) the methodology that was used to link the collected geo-data to individual cohort studies, (4) the similarity of commonly used geo-data between our consortium and the nationwide situation in the Netherlands and (5) the distribution of geo-data within our consortium. PARTICIPANTS GECCO includes participants from six prospective cohort studies (eg, 44 657 respondents (18-100 years) in 2006) and it covers all municipalities in the Netherlands. Using postal code information of the participants, geo-data on the address-level, postal code-level as well as neighbourhood-level could be linked to individual-level cohort data. FINDINGS TO DATE The geo-data could be successfully linked to almost all respondents of all cohort studies, with successful data-linkage rates ranging from 97.1% to 100.0% between cohort studies. The results show variability in geo-data within and across cohorts. GECCO increases power of analyses, provides opportunities for cross-checking and replication, ensures sufficient geographical variation in environmental determinants and allows for nuanced analyses on specific subgroups. FUTURE PLANS GECCO offers unique opportunities for (longitudinal) studies on the complex relationships between the environment and health outcomes. For example, GECCO will be used for further research on environmental determinants of physical/psychosocial functioning and lifestyle behaviours.
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Affiliation(s)
- Erik J Timmermans
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Joline W J Beulens
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Sophia E Kramer
- Section Ear and Hearing, Department of Otolaryngology-Head and Neck Surgery, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Mirjam Oosterman
- Department of Clinical Child and Family Studies, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Mariska Stam
- Section Ear and Hearing, Department of Otolaryngology-Head and Neck Surgery, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Giel Nijpels
- Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Carlo Schuengel
- Department of Clinical Child and Family Studies, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jan H Smit
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, GGZ inGeest, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Bert Brunekreef
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Institute for Risk Assessment Sciences, University of Utrecht, Utrecht, the Netherlands
| | - Jasper E C Dekkers
- Spatial Information Laboratory, Department of Spatial Economics, Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Dorly J H Deeg
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, GGZ inGeest, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands
- Department of Sociology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
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