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Wang R, Yao Y. Exploring the pathways linking visual green space to depression in older adults in Shanghai, China: using street view data. Aging Ment Health 2024:1-9. [PMID: 38940438 DOI: 10.1080/13607863.2024.2363370] [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: 01/01/2024] [Accepted: 05/28/2024] [Indexed: 06/29/2024]
Abstract
OBJECTIVES To examine (1) how visual green space quantity and quality affect depression among older adults; (2) whether and how the links may be mediated by perceived stress, physical activity, neighbourhood social cohesion, and air pollution (PM2.5); and (3) whether there are differences in the mediation across visual green space quantity and quality. METHOD We used older adults samples (aged over 65) from the WHO Study on Global Ageing and Adult Health in Shanghai, China. Depression was quantified by two self-reported questions related to the diagnosis of depression and medications or other treatments for depression. Visual green space quantity and quality were calculated using street view images and machine learning methods (street view green space = SVG). Mediators included perceived stress, social cohesion, physical activity, and PM2.5. Multilevel logistic and linear regression models were applied to understand the mediating roles of the above mediators in the link between visual green space quantity and quality and depression in older adults. RESULTS SVG quantity and quality were negatively related to depression. Significant partial mediators for SVG quality were social cohesion and perceived stress. For SVG quantity, there was no evidence that any of the above mediators mediated the association. CONCLUSION Our results indicated that visual green space quantity and quality may be related to depression in older adults through different mechanisms.
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Affiliation(s)
- Ruoyu Wang
- Institute of Public Health and Wellbeing, University of Essex, Essex, UK
| | - Yao Yao
- School of Geography and Information Engineering, China University of Geosciences, Wuhan, P.R. China
- Center for Spatial Information Science, University of Tokyo, Chiba, Japan
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Chen Z, Wu F, Shi Y, Guo Y, Xu J, Liang S, Huang Z, He G, Hu J, Zhu Q, Yu S, Yang S, Wu C, Tang W, Dong X, Ma W, Liu T. Association of Residential Greenness Exposure with Depression Incidence in Adults 50 Years of Age and Older: Findings from the Cohort Study on Global AGEing and Adult Health (SAGE) in China. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:67004. [PMID: 38885140 PMCID: PMC11218708 DOI: 10.1289/ehp13947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 04/07/2024] [Accepted: 05/20/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Depression is a social and public health problem of great concern globally. Identifying and managing the factors influencing depression are crucial for preventing and decreasing the burden of depression. OBJECTIVES Our objectives are to explore the association between residential greenness and the incidence of depression in an older Chinese population and to calculate the disease burden of depression prevented by greenness exposure. METHODS This study was the Chinese part of the World Health Organization Study on Global AGEing and Adult Health (WHO SAGE). We collected the data of 8,481 residents ≥ 50 years of age in China for the period 2007-2018. Average follow-up duration was 7.00 (± 2.51 ) years. Each participant was matched to the yearly maximum normalized difference vegetation index (NDVI) at their residential address. Incidence of depression was assessed using the Composite International Diagnostic Interview (CIDI), self-reports of depression, and/or taking depression medication. Association between greenness and depression was examined using the time-dependent Cox regression model with stratified analysis by sex, age, urbanicity, annual family income, region, smoking, drinking, and household cooking fuels. Furthermore, the prevented fraction (PF) and attributable number (AN) of depression prevented by exposure to greenness were estimated. RESULTS Residential greenness was negatively associated with depression. Each interquartile range (IQR) increase in NDVI 500 -m buffer was associated with a 40% decrease [hazard ratio ( HR ) = 0.60 ; 95% confidence interval (CI): 0.37, 0.97] in the risk of depression incidence among the total participants. Subgroup analyses showed negative associations in urban residents (HR = 0.32 ; 95% CI: 0.12, 0.86) vs. rural residents, in high-income residents (HR = 0.28 ; 95% CI: 0.11, 0.71) vs. low-income residents, and in southern China (HR = 0.50 ; 95% CI: 0.26, 0.95) vs. northern China. Over 8.0% (PF = 8.69 % ; 95% CI: 1.38%, 15.40%) and 1,955,199 (95% CI: 310,492; 3,464,909) new cases of depression may be avoided by increasing greenness exposures annually across China. DISCUSSION The findings suggest protective effects of residential greenness exposure on depression incidence in the older population, particularly among urban residents, high-income residents, and participants living in southern China. The construction of residential greenness should be included in community planning. https://doi.org/10.1289/EHP13947.
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Affiliation(s)
- Zhiqing Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, China
| | - Fan Wu
- Shanghai Medical College, Fudan University, Shanghai, China
| | - Yan Shi
- Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China
| | - Yanfei Guo
- Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China
| | - Jiahong Xu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Shuru Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Zhongguo Huang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Jianxiong Hu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Qijiong Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Siwen Yu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Shangfeng Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Cuiling Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Weiling Tang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaomei Dong
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, China
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, China
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van Beek JFE, Malisoux L, Klein O, Bohn T, Tharrey M, Van Lenthe FJ, Beenackers MA, Dijst M, Perchoux C. Longitudinal study of changes in greenness exposure, physical activity and sedentary behavior in the ORISCAV-LUX cohort study. Int J Health Geogr 2024; 23:14. [PMID: 38773577 PMCID: PMC11110334 DOI: 10.1186/s12942-024-00374-7] [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: 01/15/2024] [Accepted: 05/10/2024] [Indexed: 05/24/2024] Open
Abstract
BACKGROUND Greenness exposure has been associated with many health benefits, for example through the pathway of providing opportunities for physical activity (PA). Beside the limited body of longitudinal research, most studies overlook to what extent different types of greenness exposures may be associated with varying levels of PA and sedentary behavior (SB). In this study, we investigated associations of greenness characterized by density, diversity and vegetation type with self-reported PA and SB over a 9-year period, using data from the ORISCAV-LUX study (2007-2017, n = 628). METHODS The International Physical Activity Questionnaire (IPAQ) short form was used to collect PA and SB outcomes. PA was expressed as MET-minutes/week and log-transformed, and SB was expressed as sitting time in minutes/day. Geographic Information Systems (ArcGIS Pro, ArcMap) were used to collect the following exposure variables: Tree Cover Density (TCD), Soil-adjusted Vegetation Index (SAVI), and Green Land Use Mix (GLUM). The exposure variables were derived from publicly available sources using remote sensing and cartographic resources. Greenness exposure was calculated within 1000m street network buffers around participants' exact residential address. RESULTS Using Random Effects Within-Between (REWB) models, we found evidence of negative within-individual associations of TCD with PA (β = - 2.60, 95% CI - 4.75; - 0.44), and negative between-individual associations of GLUM and PA (β = - 2.02, 95% CI - 3.73; - 0.32). There was no evidence for significant associations between greenness exposure and SB. Significant interaction effects by sex were present for the associations between TCD and both PA and SB. Neighborhood socioeconomic status (NSES) did not modify the effect of greenness exposure on PA and SB in the 1000 m buffer. DISCUSSION Our results showed that the relationship between greenness exposure and PA depended on the type of greenness measure used, which stresses the need for the use of more diverse and complementary greenness measures in future research. Tree vegetation and greenness diversity, and changes therein, appeared to relate to PA, with distinct effects among men and women. Replication studies are needed to confirm the relevance of using different greenness measures to understand its' different associations with PA and SB.
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Affiliation(s)
- Juliette F E van Beek
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, 11 Porte Des Sciences, 4366, Esch-Sur-Alzette, Luxembourg.
- Faculty of Humanities, Education and Social Sciences, Department of Geography and Spatial Planning, University of Luxembourg, 11 Porte Des Sciences, 4366, Esch-Sur-Alzette, Luxembourg.
| | - Laurent Malisoux
- Department of Precision Health, Luxembourg Institute of Health, 1A-B Rue Thomas Edison, 1445, Strassen, Luxembourg
| | - Olivier Klein
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, 11 Porte Des Sciences, 4366, Esch-Sur-Alzette, Luxembourg
| | - Torsten Bohn
- Department of Precision Health, Luxembourg Institute of Health, 1A-B Rue Thomas Edison, 1445, Strassen, Luxembourg
| | - Marion Tharrey
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, 11 Porte Des Sciences, 4366, Esch-Sur-Alzette, Luxembourg
- Department of Precision Health, Luxembourg Institute of Health, 1A-B Rue Thomas Edison, 1445, Strassen, Luxembourg
| | - Frank J Van Lenthe
- Department of Public Health, Erasmus MC, University Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Mariëlle A Beenackers
- Department of Public Health, Erasmus MC, University Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Martin Dijst
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, 11 Porte Des Sciences, 4366, Esch-Sur-Alzette, Luxembourg
- University of Luxembourg, 2 Avenue de L'Universite, 4365, Esch-Sur-Alzette, Luxembourg
| | - Camille Perchoux
- Department of Urban Development and Mobility, Luxembourg Institute of Socio-Economic Research, 11 Porte Des Sciences, 4366, Esch-Sur-Alzette, Luxembourg
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Banwell N, Michel S, Senn N. Greenspaces and Health: Scoping Review of studies in Europe. Public Health Rev 2024; 45:1606863. [PMID: 38831866 PMCID: PMC11144923 DOI: 10.3389/phrs.2024.1606863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 04/22/2024] [Indexed: 06/05/2024] Open
Abstract
Objectives Access to greenspaces and contact with nature can promote physical activity and have positive effects on physical and mental health. This scoping literature review aims to examine current evidence linking greenspaces and (a) behaviour change, (b) health outcomes and (c) co-benefits. Methods This review was conducted in accordance with the PRISMA scoping review guidelines. Searches were conducted through PubMed and EMBASE databases for studies published between 2000 and March 2023 with a focus on Europe. Results 122 scientific articles and grey literature reports were identified. Access to greenspaces is positively associated with physical and mental health, and reduced risk of all-cause mortality and some non-communicable diseases. Greenspace quality is associated with increased physical activity and reduced risk of obesity. Nature-based therapies or green prescription are effective in improving mental health outcomes and overall health. Importantly, numerous co-benefits of greenspaces are identified. Conclusion Increasing access to greenspaces for populations with particular attention to greenspace quality is important for co-benefits. Responsible governance and use of greenspaces are crucial to minimize public health risks and human disturbance of nature.
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Affiliation(s)
- Nicola Banwell
- Interdisciplinary Centre for Research in Ethics (CIRE), University of Lausanne, Lausanne, Switzerland
| | - Sarah Michel
- Department of Family Medicine, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Nicolas Senn
- Department of Family Medicine, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
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Li J, Hirsch JA, Michael YL, Besser LM, Auchincloss AH, Hughes TM, Sánchez BN. Spatial scale effects on associations between built environment and cognitive function: Multi-Ethnic Study of Atherosclerosis. Health Place 2024; 86:103181. [PMID: 38340497 DOI: 10.1016/j.healthplace.2024.103181] [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: 09/27/2023] [Revised: 12/26/2023] [Accepted: 01/22/2024] [Indexed: 02/12/2024]
Abstract
Built environments have the potential to favorably support cognitive function. Despite growing work on this topic, most of the work has ignored variation in the spatial scale of the effect. The issue with spatial scale effects is that the size and shape of the areal unit within which built environment characteristics are measured naturally influence the built environment exposure metric and thus the estimated associations with health. We used spatial distributed lag modeling (DLM) to estimate how associations between built environment exposures (walkable destinations [WD], social destinations [SD]) and change in cognition varied across distance of these destinations from participants' residences. Cognition was assessed as maintained/improved processing speed (PS) and global cognition (GC). Person-level data from Exam 5 (2010-2012) and Exam 6 (2016-2018) of the Multi-Ethnic Study of Atherosclerosis was used (N = 1380, mean age 67). Built environment data were derived from the National Establishment Time Series. Higher availability of walkable and social destinations at closer distance from participants' residence was associated with maintained/improved PS. The adjusted associations between maintained/improved PS and destinations waned with increasing distance from the residence; associations were evident until approximately 1.9-km for WD and 1.5-km for SD. Associations were most apparent for participants living in areas with high population density. We found little evidence for associations between change in GC and built environment at any distance. These results highlight the importance of identifying appropriate spatial scale to understand the mechanisms for built environment-cognition associations.
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Affiliation(s)
- Jingjing Li
- Department of Land Resources Management, School of Public Administration, China University of Geosciences, Wuhan, Hubei, 430074, China
| | - Jana A Hirsch
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.
| | - Yvonne L Michael
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA
| | - Lilah M Besser
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Amy H Auchincloss
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA
| | - Timothy M Hughes
- Department of Internal Medicine, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Brisa N Sánchez
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA
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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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Fossa AJ, D'Souza J, Bergmans R, Zivin K, Adar SD. Residential greenspace and major depression among older adults living in urban and suburban areas with different climates across the United States. ENVIRONMENTAL RESEARCH 2024; 243:117844. [PMID: 38061587 DOI: 10.1016/j.envres.2023.117844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 11/04/2023] [Accepted: 11/30/2023] [Indexed: 12/22/2023]
Abstract
BACKGROUND AND AIM Residential greenspace could alleviate depression - a leading cause of disability. Fewer studies of depression and greenspace have considered major depression, and, to our knowledge, none have considered how climate, which determines vegetation abundance and type, may change the impacts of greenspace. Our aim was to investigate whether residential greenspace is associated with major depression among older adults and explore effect modification by climate. METHODS We used biennial interviews between 2008 and 2016 from the Health and Retirement Study. We calculated greenness within walking distance of home addresses as the maximum NDVI for the year of each participant interview averaged within a 1 km buffer. Reflecting clinical criteria, a score of ≥5 on the CIDI-SF indicated major depression in the preceding 12-months. We characterized climate using Köppen-Geiger classifications. To estimate prevalence ratios, we used Poisson regression. Our models adjusted for sociodemographic characteristics, geography, annual sunshine, and bluespace. RESULTS The 21,611 eligible participants were 65 ± 10 years old on average, 55% female, 81% White, 12% Black, 10% Hispanic/Latino, and 31% had at least a 4-year college degree. The 12-month prevalence of a major depression was 8%. In adjusted models, more residential greenspace was associated with a lower prevalence of major depression (prevalence ratio per IQR, 0.91; 95% CI, 0.84 to 0.98). There was evidence of effect modification by climate (P forinteraction, 0.062). We observed stronger associations in tropical (prevalence ratio per IQR 0.69; 95% CI, 0.47 to 1.01) and cold (prevalence ratio per IQR, 0.83; 95% CI, 0.74 to 0.93) climates compared to arid (prevalence ratio per IQR 0.99; 95% CI, 0.90 to 1.09) and temperate (prevalence ratio per IQR 0.98; 95% CI, 0.86 to 1.11) climates. CONCLUSIONS Residential greenspace may help reduce major depression. However, climate may influence how people benefit from greenspace.
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Affiliation(s)
- Alan J Fossa
- University of Michigan School of Public Health, Department of Epidemiology, Ann Arbor, MI, United States.
| | - Jennifer D'Souza
- University of Michigan School of Public Health, Department of Epidemiology, Ann Arbor, MI, United States
| | - Rachel Bergmans
- University of Michigan, Medical School, Department of Anesthesiology, Ann Arbor, MI, United States
| | - Kara Zivin
- University of Michigan Medical School, Department of Psychiatry, Ann Arbor, MI, United States; VA Ann Arbor Healthcare System, Center for Clinical Management Research, Ann Arbor, MI, United States
| | - Sara D Adar
- University of Michigan School of Public Health, Department of Epidemiology, Ann Arbor, MI, United States
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Wang P, Wang M, Shan J, Liu X, Jing Y, Zhu H, Zheng G, Peng W, Wang Y. Association between residential greenness and depression symptoms in Chinese community-dwelling older adults. ENVIRONMENTAL RESEARCH 2024; 243:117869. [PMID: 38070849 DOI: 10.1016/j.envres.2023.117869] [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: 09/19/2023] [Revised: 11/23/2023] [Accepted: 12/02/2023] [Indexed: 02/06/2024]
Abstract
BACKGROUND Studies of residential greenness and depression symptoms among community-dwelling older adults in China are limited. However, understanding the role of greenness in depression symptoms among older adults can inform depression prevention and interventions. OBJECTIVE This study explored the relationship between residential greenness and depression symptoms among community-dwelling older adults in China. METHODS A cluster random sampling method was used to survey 7512 community-dwelling adults aged 60 and above from three towns in Shanghai. Depression symptoms were assessed using the Geriatric Depression Scale (GDS30). Residential greenness was measured using the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI). Long-term greenspace exposure was defined as the mean NDVI and EVI in the three years prior to the baseline survey. Controlling for the covariates, the relationship between greenness and depression symptoms was assessed using binomial logistic regression and mixed-effects linear regression. Interaction analysis was conducted to explore which covariates potentially alter the association. We also assessed the mediating role of physical activity. RESULTS The prevalence of depression symptoms among the participants was 13.72%. Higher residential greenness was associated with lower odds of depression symptoms, after adjusting for covariates. In the logistic regression analysis, the odds of depression symptoms decreased with increasing NDVI and EVI. In linear regression analysis, GDS30 scores decreased with increasing NDVI and EVI. Interaction analyses revealed that higher NDVI and EVI were more protective against depression among male individuals and older adults living with others than among female individuals and older adults living alone. Additionally, physical activity had a masking effect on residential greenness and depression symptoms. CONCLUSION Higher residential greenness is associated with lower odds of depression symptoms in community-dwelling Chinese older adults. Increasing urban and neighborhood green spaces may contribute to the prevention and intervention of depression symptoms in community-dwelling older adults.
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Affiliation(s)
- Pengfei Wang
- School of Public Health, Fudan University, Shanghai, China; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Meng Wang
- Human Resources Department, Eye & Ent Hospital, Fudan University, Shanghai, China
| | - Jiatong Shan
- Arts and Science Department, New York University Shanghai, Shanghai, China
| | - Xinya Liu
- School of Public Health, Fudan University, Shanghai, China; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yurong Jing
- School of Public Health, Fudan University, Shanghai, China; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Hongfei Zhu
- School of Public Health, Fudan University, Shanghai, China; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Guang Zheng
- Shanghai Institute of Occupational Disease for Chemical Industry, Shanghai, China.
| | - Wenjia Peng
- School of Public Health, Fudan University, Shanghai, China; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
| | - Ying Wang
- School of Public Health, Fudan University, Shanghai, China; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
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Makram OM, Pan A, Maddock JE, Kash BA. Nature and Mental Health in Urban Texas: A NatureScore-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:168. [PMID: 38397658 PMCID: PMC10887946 DOI: 10.3390/ijerph21020168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/13/2024] [Accepted: 01/29/2024] [Indexed: 02/25/2024]
Abstract
In this cross-sectional study, we examined the impact of access to nature on mental health utilization in urban neighborhoods using Texas outpatient encounters data merged with NatureScoreTM (0-100; low to high nature levels) and US census data (household income, education, employment, poverty, and insurance coverage) at the zipcode level. Our sample size included 61 million outpatient encounters across 1169 zipcodes, with 63% women and 30% elderly. A total of 369,344 mental health encounters were identified, with anxiety/stress and depression encounters representing 68.3% and 23.6%, respectively. We found that neighborhoods with a NatureScore of 60+ had lower overall mental health utilization than those below 40 (RR 0.51, 95%CI 0.38-0.69). This relationship persisted for depression, bipolar disorder, and anxiety/stress and in neighborhoods with a NatureScore above 80 (p < 0.001). Compared to neighborhoods with a NatureScore below 40, those above 80 had significantly lower depression (aRR 0.68, 95%CI 0.49-0.95) and bipolar (aRR 0.59, 95%CI 0.36-0.99) health encounters after adjusting for demographic and socioeconomic factors. This novel approach, utilizing NatureScore as a proxy for urban greenness, demonstrates the correlation between a higher NatureScore and reduced mental health utilization. Our findings highlight the importance of integrating nature into our healthcare strategies to promote well-being and mental health.
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Affiliation(s)
- Omar M Makram
- Center for Health & Nature, Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Alan Pan
- Center for Health Data Science and Analytics, Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Jay E Maddock
- Center for Health & Nature, Houston Methodist Research Institute, Houston, TX 77030, USA
- Department of Environmental and Occupational Health, School of Public Health, Texas A&M University, 1266 TAMU, College Station, TX 77843, USA
| | - Bita A Kash
- Center for Health & Nature, Houston Methodist Research Institute, Houston, TX 77030, USA
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10
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Liu BP, Huxley RR, Schikowski T, Hu KJ, Zhao Q, Jia CX. Exposure to residential green and blue space and the natural environment is associated with a lower incidence of psychiatric disorders in middle-aged and older adults: findings from the UK Biobank. BMC Med 2024; 22:15. [PMID: 38221612 PMCID: PMC10789017 DOI: 10.1186/s12916-023-03239-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 12/19/2023] [Indexed: 01/16/2024] Open
Abstract
BACKGROUND There is increasing evidence for the role of environmental factors and exposure to the natural environment on a wide range of health outcomes. Whether exposure to green space, blue space, and the natural environment (GBN) is associated with risk of psychiatric disorders in middle-aged and older adults has not been prospectively examined. METHODS Longitudinal data from the UK biobank was used. At the study baseline (2006-2010), 363,047 participants (women: 53.4%; mean age 56.7 ± 8.1 years) who had not been previously diagnosed with any psychiatric disorder were included. Follow-up was achieved by collecting records from hospitals and death registers. Measurements of green and blue space modeled from land use data and natural environment from Land Cover Map were assigned to the residential address for each participant. Cox proportional hazard models with adjustment for potential confounders were used to explore the longitudinal associations between GBN and any psychiatric disorder and then by specific psychiatric disorders (dementia, substance abuse, psychotic disorder, depression, and anxiety) in middle-aged and older adults. RESULTS During an average follow-up of 11.5 ± 2.8 years, 49,865 individuals were diagnosed with psychiatric disorders. Compared with the first tertile (lowest) of exposure, blue space at 300 m buffer [hazard ratio (HR): 0.973, 95% confidence interval (CI): 0.952-0.994] and natural environment at 300 m buffer (HR: 0.970, 95% CI: 0.948-0.992) and at 1000 m buffer (HR: 0.975, 95% CI: 0.952-0.999) in the third tertile (highest) were significantly associated with lower risk of incident psychiatric disorders, respectively. The risk of incident dementia was statistically decreased when exposed to the third tertile (highest) of green space and natural environment at 1000 m buffer. The third tertile (highest) of green space at 300 m and 1000 m buffer and natural environment at 300 m and 1000 m buffer was associated with a reduction of 30.0%, 31.8%, 21.7%, and 30.3% in the risk of developing a psychotic disorder, respectively. Subgroup analysis suggested that the elderly, men, and those living with some comorbid conditions may derive greater benefits associated with exposure to GBN. CONCLUSIONS This study suggests that GBN has significant benefits for lowering the risk of psychiatric disorders in middle-aged and older adults. Future studies are warranted to validate these findings and to understand the potential mechanistic pathways underpinning these novel findings.
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Affiliation(s)
- Bao-Peng Liu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Rachel R Huxley
- Faculty of Health, Deakin University, Melbourne, VIC, 3000, Australia
| | - Tamara Schikowski
- Department of Epidemiology, IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Ke-Jia Hu
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Zijingang Campus, Hangzhou, 310058, China
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Faculty of Health, Deakin University, Melbourne, VIC, 3000, Australia.
- Shandong University Climate Change and Health Center, Shandong University, Jinan, 250012, Shandong, China.
| | - Cun-Xian Jia
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
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11
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Tian T, Kwan MP, Vermeulen R, Helbich M. Geographic uncertainties in external exposome studies: A multi-scale approach to reduce exposure misclassification. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167637. [PMID: 37816406 DOI: 10.1016/j.scitotenv.2023.167637] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/15/2023] [Accepted: 10/05/2023] [Indexed: 10/12/2023]
Abstract
BACKGROUND Many studies on environment-health associations have emphasized that the selected buffer size (i.e., the scale of the geographic context when exposures are assigned at people's address location) may affect estimated effect sizes. However, there is limited methodological progress in addressing these buffer size-related uncertainties. AIM We aimed to 1) develop a statistical multi-scale approach to address buffer-related scale effects in cohort studies, and 2) investigate how environment-health associations differ between our multi-scale approach and ad hoc selected buffer sizes. METHODS We used lacunarity analyses to determine the largest meaningful buffer size for multiple high-resolution exposure surfaces (i.e., fine particulate matter [PM2.5], noise, and the normalized difference vegetation index [NDVI]). Exposures were linked to 7.7 million Dutch adults at their home addresses. We assigned exposure estimates based on buffers with fine-grained distance increments until the lacunarity-based upper limit was reached. Bayesian Cox model averaging addressed geographic uncertainties in the estimated exposure effect sizes within the exposure-specific upper buffer limits on mortality. Z-tests assessed statistical differences between averaged effect sizes and those obtained through pre-selected 100, 300, 1200, and 1500 m buffers. RESULTS The estimated lacunarity curves suggested exposure-specific upper buffer size limits; the largest was for NDVI (960 m), followed by noise (910 m) and PM2.5 (450 m). We recorded 845,229 deaths over eight years of follow-up. Our multi-scale approach indicated that higher values of NDVI were health-protectively associated with mortality risk (hazard ratio [HR]: 0.917, 95 % confidence interval [CI]: 0.886-0.948). Increased noise exposure was associated with an increased risk of mortality (HR: 1.003, 95 % CI: 1.002-1.003), while PM2.5 showed null associations (HR:0.998, 95 % CI: 0.997-1.000). Effect sizes of NDVI and noise differed significantly across the averaged and prespecified buffers (p < 0.05). CONCLUSIONS Geographic uncertainties in residential-based exposure assessments may obscure environment-health associations or risk spurious ones. Our multi-scale approach produced more consistent effect estimates and mitigated contextual uncertainties.
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Affiliation(s)
- Tian Tian
- Department of Human Geography and Spatial Planning, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, the Netherlands.
| | - Mei-Po Kwan
- Department of Human Geography and Spatial Planning, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, the Netherlands; Department of Geography and Resource Management and Institute of Space and Earth Information Science, Chinese University of Hong Kong, Hong Kong, China
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Marco Helbich
- Department of Human Geography and Spatial Planning, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, the Netherlands
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Yang Y, Zhang Y, Sheng S. Residential greenness for mitigating impacts of extreme heat events on depression and supporting mental health. Front Public Health 2023; 11:1310410. [PMID: 38145084 PMCID: PMC10740180 DOI: 10.3389/fpubh.2023.1310410] [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: 10/09/2023] [Accepted: 11/15/2023] [Indexed: 12/26/2023] Open
Abstract
Background Residential green spaces (RGS) are a crucial aspect of urban life, which provide residents with a positive living environment both for mental and physical well-being. However, extreme heat events caused by global warming and local urban heat island effects are threatening the public health of rapidly growing populations. This is especially true for mental health. Depression is a mental illness that can be impacted by extreme heat events, i.e., heatwaves. Objective This study aimed to investigate the potential for residential green spaces (RGS) to alleviate depression by reducing heat stress sensitivity during extreme heat events. Methods We conducted a literature review using scientometric analysis with CiteSpace to summarize existing research on the relationships between RGS, depression, and heatwaves. We proposed a conceptual framework for the relationship between RGS and depression, and that extreme heat events may be an important contributor to depression. Results Our review found that RGS can provide ecosystem services that lower ambient temperatures through evaporative cooling, radiation reflection, humidity regulation, and shading. Different types of RGS, i.e., small green spaces, green roofs, green walls, and street trees, have varying cooling capacities. The mechanisms by which RGS alleviate depression during heatwaves involve green space composition, exposure, physical activity, social contacts, and cohesion. And we proposed a conceptual framework for the relationship between RGS and depression, and that extreme heat events may be an important contributor to depression. Conclusion We present a multidimensional RGS evaluation roadmap to inform green space design for reducing depression during heatwaves. Establishing RGS multidimensional evaluation can guide future research on leveraging RGS to build resilience against extreme heat and improve public mental health.
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Affiliation(s)
- Ying Yang
- Department of Landscape Architecture, Gold Mantis School of Architecture, Soochow University, Suzhou, China
| | - Yixin Zhang
- Department of Landscape Architecture, Gold Mantis School of Architecture, Soochow University, Suzhou, China
- Research Center of Landscape Heritage Protection and Ecological Restoration, China-Portugal Joint Laboratory of Cultural Heritage Conservation Science, Suzhou, China
| | - Shaojie Sheng
- Department of Landscape Architecture, Gold Mantis School of Architecture, Soochow University, Suzhou, China
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13
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Spano G, Nobile F, Giannico V, Elia M, Michelozzi P, Bosco A, Dadvand P, Sanesi G, Stafoggia M. Two- and three-dimensional indicators of green and grey space exposure and psychiatric conditions and medicine use: A longitudinal study in a large population-based Italian cohort. ENVIRONMENT INTERNATIONAL 2023; 182:108320. [PMID: 37976839 DOI: 10.1016/j.envint.2023.108320] [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: 08/03/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Evidence available on the associations between urban greenness and mental health is mainly based on cross-sectional studies and has relied on 2D indicators of greenness. This longitudinal study aimed at investigating the association between 2D and 3D indicators of green and grey spaces and incident mental health-related outcomes in a large population-based cohort. METHODS Our study used data from 593,894 Italian adults (≥30 years) from the Rome Longitudinal Study. Mental health outcomes were defined using either drug prescriptions (antidepressants, antipsychotics, lithium and other mood stabilisers, and anxiolytics, hypnotics and sedatives), or hospitalisation records (for schizophrenia spectrum disorder, depression, anxiety, stress-related and somatoform, or substance use disorders). We obtained 2D and 3D indicators of green and grey exposures including Normalized Difference Vegetation Index (NDVI), green volume, grey volume, number of trees, and Normalized Difference Green-Grey Volume Index around participants' homes. Cox proportional hazards regression models were developed to estimate the association of green and grey space exposure and psychiatric conditions and medicine use, adjusted for relevant covariates. RESULTS We found beneficial associations of NDVI and the number of trees with antipsychotic and lithium and other mood stabiliser drugs. We also observed detrimental associations between grey volume and lithium and other mood stabilisers and anxiolytic, hypnotic and sedative drugs. Finally, we found a protective association of the NDGG with lithium and other mood stabilisers (HR: 0.977; 95% CI: 0.965-0.990) and anxiolytic, hypnotic and sedative drugs (HR: 0.851; 95% CI: 0.762-0.950). The associations for hospitalisation for psychiatric conditions were less consistent and generally not statistically significant. CONCLUSIONS Findings suggested that higher greenness areas around residential addresses are associated with reduced use of drugs for psychiatric conditions, while the opposite is true for higher grey space exposure. The study highlights the importance of accurately characterising green and grey spaces, using novel exposure indicators.
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Affiliation(s)
- Giuseppina Spano
- Department of Education, Psychology, Communication Sciences, University of Bari Aldo Moro, Bari, Italy
| | - Federica Nobile
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy
| | - Vincenzo Giannico
- Department of Education, Psychology, Communication Sciences, University of Bari Aldo Moro, Bari, Italy.
| | - Mario Elia
- Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy
| | - Paola Michelozzi
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy
| | - Andrea Bosco
- Department of Education, Psychology, Communication Sciences, University of Bari Aldo Moro, Bari, Italy
| | - Payam Dadvand
- ISGlobal, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029 Madrid, Spain
| | - Giovanni Sanesi
- Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy
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Sui Y, Ettema D, Helbich M. Changes in neighborhood physical and social environments matter for change in mental health: Longitudinal evidence from Dutch panel data. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 337:122540. [PMID: 37709125 DOI: 10.1016/j.envpol.2023.122540] [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: 05/04/2023] [Revised: 08/21/2023] [Accepted: 09/10/2023] [Indexed: 09/16/2023]
Abstract
Numerous neighborhood environments have been recognized to affect mental health, but only a few longitudinal studies investigated these associations jointly and whether different population groups are affected differently. We used three-wave panel data of 2699 adults between 2010 and 2016 in the Netherlands to assess the associations between changes in neighborhood physical and social environments and mental health changes. Further, we assessed possible effect modification of gender and income. Mental health was measured using the Mental Health Inventory. Time-varying exposure to green space, blue space, population density, air pollution, socioeconomic deprivation, and social fragmentation were assigned based on individuals' neighborhood histories. Fixed-effect regressions were conducted to assess within-person associations between single and multiple exposures on mental health for the entire sample and stratified by gender and income. Our single-exposure models showed that increases in blue space were significantly associated with mental health improvements, while increases in fine particulate matter (PM2.5) resulted in declines in mental health. These associations were not attenuated in the multi-exposure model. We observed no significant associations for the remaining environments. Stratification analyses showed that females' mental health further declined as PM2.5 concentrations increased compared to males. Increasing levels of socioeconomic deprivation were associated with further declines in mental health among the less well-off compared with higher-income earners. Our longitudinal findings suggested that neighborhood physical and social environment changes were associated with mental health changes. Future research is required to establish the underlying pathways.
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Affiliation(s)
- Yuwen Sui
- Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Utrecht, 3584 CB, the Netherlands.
| | - Dick Ettema
- Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Utrecht, 3584 CB, the Netherlands
| | - Marco Helbich
- Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Utrecht, 3584 CB, the Netherlands
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Xu C, Miao L, Turner D, DeRubeis R. Urbanicity and depression: A global meta-analysis. J Affect Disord 2023; 340:299-311. [PMID: 37557989 DOI: 10.1016/j.jad.2023.08.030] [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: 03/24/2023] [Revised: 06/29/2023] [Accepted: 08/04/2023] [Indexed: 08/11/2023]
Abstract
BACKGROUND Previous meta-analyses have revealed that in adult and older adult populations of developed countries, depression is more prevalent in urban than rural areas. No meta-analyses have identified the effects of urbanicity on the general age demographic for developing countries. We conducted a meta-analysis of urban-rural differences in depression across all age demographics for developed and developing countries. METHODS PubMed and PsycINFO databases were searched for studies published between 1980 and 2020. Studies were included if they reported prevalences of urban and rural depression, or odds ratios comparing urban-rural depression prevalence. Studies were excluded for: nonrepresentative samples, non-standard measures of depression, and reporting continuous outcomes only. Meta-analytic models of urban-rural differences in the odds of depression were conducted across country development levels and age demographics. RESULTS From 1597 records screened and 302 full texts assessed for eligibility, 80 studies (N = 539,557) were included for meta-analysis. Urban residence was significantly associated with a higher prevalence of depression in developed countries (OR = 1.30, 95 % CI [1.17, 1.46], z = 4.75, p < .001), which was primarily driven by urban-rural differences in the general population age demographic (OR = 1.37, 95 % CI [1.22, 1.54], z = 5.38, p < .001). LIMITATIONS Studies reporting urban-rural differences in depression in terms of continuous symptom severity scores were not included. CONCLUSIONS Urbanicity appears to uniquely be associated with a higher prevalence of depression in developed countries, but not in developing countries.
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Affiliation(s)
- Colin Xu
- Department of Psychology, University of Pennsylvania, United States of America.
| | - Lucille Miao
- Department of Psychology, University of Pennsylvania, United States of America
| | - Devon Turner
- Department of Psychology, University of Pennsylvania, United States of America
| | - Robert DeRubeis
- Department of Psychology, University of Pennsylvania, United States of America
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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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Nguyen PY, Astell-Burt T, Rahimi-Ardabili H, Feng X. Effect of nature prescriptions on cardiometabolic and mental health, and physical activity: a systematic review. Lancet Planet Health 2023; 7:e313-e328. [PMID: 37019572 DOI: 10.1016/s2542-5196(23)00025-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 06/19/2023]
Abstract
Nature prescriptions are gaining popularity as a form of social prescribing in support of sustainable health care. This systematic review and meta-analysis aims to synthesise evidence on the effectiveness of nature prescriptions and determine the factors important for their success. We searched five databases from inception up to July 25, 2021. Randomised and non-randomised controlled studies featuring a nature prescription (ie, a referral or an organised programme, by a health or social professional, to encourage spending time in nature) were included. Two reviewers independently conducted all steps of study selection; one reviewer collected summary data from published reports and conducted the risk of bias assessment. Random-effect DerSimonian-Laird meta-analyses were conducted for five key outcomes. We identified 92 unique studies (122 reports), of which 28 studies contributed data to meta-analyses. Compared with control conditions, nature prescription programmes resulted in a greater reduction in systolic blood pressure (mean difference -4·82 mm Hg [-8·92 to -0·72]) and diastolic blood pressure (mean difference -3·82 mm Hg [-6·47 to -1·16). Nature prescriptions also had a moderate to large effect on depression scores (post-intervention standardised mean difference -0·50 [-0·84 to -0·16]; change from baseline standardised mean difference -0·42 [-0·82 to -0·03]) and anxiety scores (post-intervention standardised mean difference -0·57 [-1·12 to -0·03]; change from baseline standardised mean difference -1·27 [-2·20 to -0·33]). Nature prescriptions resulted in a greater increase in daily step counts than control conditions (mean difference 900 steps [790 to 1010]) but did not improve weekly time of moderate physical activity (mean difference 25·90 min [-10·26 to 62·06]). A subgroup analysis restricted to studies featuring a referring institution showed stronger effects on depression scores, daily step counts, and weekly time of moderate physical activity than the general analysis. Beneficial effects on anxiety and depression scores were mainly provided by interventions involving social professionals whereas beneficial effects on blood pressures and daily step counts were provided mainly by interventions involving health professionals. Most studies have a moderate to high risk of bias. Nature prescription programmes showed evidence of cardiometabolic and mental health benefits and increases in walking. Effective nature prescription programmes can involve a range of natural settings and activities and can be implemented via social and community channels, in addition to health professionals.
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Affiliation(s)
- Phi-Yen Nguyen
- School of Population Health, University of New South Wales, Sydney, NSW, Australia; Population Wellbeing and Environment Research Lab (PowerLab), Sydney, NSW, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (PowerLab), Sydney, NSW, Australia; School of Health and Society, Faculty of Arts, Social Sciences, and Humanities, University of Wollongong, Wollongong, NSW, Australia
| | - Hania Rahimi-Ardabili
- School of Population Health, University of New South Wales, Sydney, NSW, Australia; Population Wellbeing and Environment Research Lab (PowerLab), Sydney, NSW, Australia; Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Xiaoqi Feng
- School of Population Health, University of New South Wales, Sydney, NSW, Australia; Population Wellbeing and Environment Research Lab (PowerLab), Sydney, NSW, Australia; The George Institute of Global Health, Sydnet, NSW, Australia.
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Turunen AW, Halonen J, Korpela K, Ojala A, Pasanen T, Siponen T, Tiittanen P, Tyrväinen L, Yli-Tuomi T, Lanki T. Cross-sectional associations of different types of nature exposure with psychotropic, antihypertensive and asthma medication. Occup Environ Med 2023; 80:111-118. [PMID: 36646464 PMCID: PMC9887361 DOI: 10.1136/oemed-2022-108491] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 12/05/2022] [Indexed: 01/18/2023]
Abstract
BACKGROUND Exposure to natural environments is thought to be beneficial for human health, but the evidence is inconsistent. OBJECTIVE To examine whether exposure to green and blue spaces in urban environments is associated with mental and physical health in Finland. METHODS The Helsinki Capital Region Environmental Health Survey was conducted in 2015-2016 in Helsinki, Espoo and Vantaa in Finland (n=7321). Cross-sectional associations of the amounts of residential green and blue spaces within 1 km radius around the respondent's home (based on the Urban Atlas 2012), green and blue views from home and green space visits with self-reported use of psychotropic (anxiolytics, hypnotics and antidepressants), antihypertensive and asthma medication were examined using logistic regression models. Indicators of health behaviour, traffic-related outdoor air pollution and noise and socioeconomic status (SES) were used as covariates, the last of these also as a potential effect modifier. RESULTS Amounts of residential green and blue spaces or green and blue views from home were not associated with medications. However, the frequency of green space visits was associated with lower odds of using psychotropic medication (OR=0.67, 95% CI 0.55 to 0.82 for 3-4 times/week; 0.78, 0.63 to 0.96 for ≥5 times/week) and antihypertensive (0.64, 0.52 to 0.78; 0.59, 0.48 to 0.74, respectively) and asthma (0.74, 0.58 to 0.94; 0.76, 0.59 to 0.99, respectively) medication use. The observed associations were attenuated by body mass index, but no consistent interactions with SES indicators were observed. CONCLUSIONS Frequent green space visits, but not the amounts of residential green or blue spaces, or green and blue views from home, were associated with less frequent use of psychotropic, antihypertensive and asthma medication in urban environments.
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Affiliation(s)
- Anu W Turunen
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Jaana Halonen
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Kalevi Korpela
- Faculty of Social Sciences (Psychology), Tampere University, Tampere, Finland
| | - Ann Ojala
- Bioeconomy and Environment, Natural Resources Institute, Helsinki, Finland
| | - Tytti Pasanen
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Taina Siponen
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Pekka Tiittanen
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Liisa Tyrväinen
- Bioeconomy and Environment, Natural Resources Institute, Helsinki, Finland
| | - Tarja Yli-Tuomi
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Timo Lanki
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland,Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland,School of Medicine, University of Eastern Finland, Kuopio, Finland
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Xu J, Yuan X, Ni W, Sun Y, Zhang H, Zhang Y, Ke P, Xu M, Zhao Z. Associations between residential greenness and blood lipids in Chinese elderly population. J Endocrinol Invest 2022; 45:2329-2339. [PMID: 35852772 DOI: 10.1007/s40618-022-01870-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 07/08/2022] [Indexed: 10/17/2022]
Abstract
OBJECTIVE Previous studies on residential green space were inconsistent with blood lipid levels and hyperlipidemia. Thus, our study aims to explore the relationship between urban residential greenness and the blood lipid level and hyperlipidemia of the Chinese elderly population. METHODS A total of 59,865 older adults were collected from the Shenzhen healthy aging Research (SHARE). Blood lipid levels [total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)] were measured. Participants' exposure to residential greenness was measured by the satellite-based normalized difference vegetation index (NDVI). Generalized linear mixed models (GLMMs) and logistic regression were performed to assess the associations of residential greenness with lipid levels and dyslipidemia (high TG, high TC, low HDL-C, and high LDL-C). RESULTS Each per 1 standard deviation (SD) increase in NDVI250-m was associated with a higher HDL-C level (β = 0.003, 95% (confidence interval, CI):0.001-0.005) and lower TG level (β = - 0.005, 95% CI - 0.141-0.121), after fully adjusting for covariates. Each increment in per interquartile range (IQR)-unit increase in NDVI250-m was associated with lower odds of high TG (odds ratio, OR 0.94, 95% CI 0.91-0.97) and low HDL-C (OR 0.96, 95% CI 0.94-0.99). The NDVI250-m has the highest protective effect on the incidence of high TG and low HDL-C, followed by NDVI500-m and NDVI1250-m. Stratified analyses showed that association between residential greenness and hyperlipidemia was modified by sex, age, BMI, household registration, and physical activity. CONCLUSION Higher greenness exposure was beneficially associated with lipid levels and dyslipidemia among Chinese city-dwelling older adults.
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Affiliation(s)
- J Xu
- Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, Guangdong, People's Republic of China
| | - X Yuan
- Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, Guangdong, People's Republic of China
| | - W Ni
- Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Y Sun
- Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, Guangdong, People's Republic of China
| | - H Zhang
- Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Y Zhang
- Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, Guangdong, People's Republic of China
| | - P Ke
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430040, Hubei, People's Republic of China
| | - M Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430040, Hubei, People's Republic of China
| | - Z Zhao
- Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, Guangdong, People's Republic of China.
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Lankila T, Puhakka S, Kärmeniemi M, Kangas M, Rusanen J, Korpelainen R. Residential history and changes in perceived health—The Northern Finland Birth Cohort 1966 study. Health Place 2022; 78:102931. [DOI: 10.1016/j.healthplace.2022.102931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 10/20/2022] [Accepted: 10/21/2022] [Indexed: 11/06/2022]
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