A life course approach to understanding associations between natural environments and mental well-being for the Danish blood donor cohort
Natural environments have been associated with mental health benefits, but globally access to these benefits is threatened by urban development and densification. However, it remains unclear how natural environments relate to mental health and how consistent the association is across populations. He...
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creator | Engemann, Kristine Svenning, Jens-Christian Arge, Lars Brandt, Jørgen Bruun, Mie T. Didriksen, Maria Erikstrup, Christian Geels, Camilla Hertel, Ole Horsdal, Henriette Thisted Kaspersen, Kathrine A. Mikkelsen, Susan Mortensen, Preben Bo Nielsen, Kaspar R. Ostrowski, Sisse R. Pedersen, Ole B. Tsirogiannis, Constantinos Sabel, Clive E. Sigsgaard, Torben Ullum, Henrik Pedersen, Carsten Bøcker |
description | Natural environments have been associated with mental health benefits, but globally access to these benefits is threatened by urban development and densification. However, it remains unclear how natural environments relate to mental health and how consistent the association is across populations. Here we use a life-course approach with a population consisting of 66 194 individuals from the Danish Blood Donor Study (DBDS) to investigate the association between green and blue space (e.g. parks and lakes) and self-evaluated mental well-being. Green and blue space was identified from remotely-sensed images from the Landsat program, while mental well-being was based on the mental component score (MCS) calculated using the 12-item short form health survey. We use multivariate linear regression models and logistic regression models to quantify the associations. We adjust for additional environmental (urbanization, and air pollution) and lifestyle factors (smoking, body mass index, socioeconomic status, and physical activity) and specifically evaluate the role of physical activity and air pollution as possible mediating factors. We found a positive association between the MCS and current and childhood green space, and a non-significant association for current and childhood blue space. Adjusting for environmental and the other factors attenuated the effect sizes indicating that a broad range of factors determine mental well-being. Physical activity and air pollution were both associated with the MCS as possible mediators of green space associations. In addition, the odds for successfully completing tasks’, seeing others, and feeling less downhearted increased with higher levels of green space, and the odds of feeling calm increased with higher levels of blue space. In conclusion, we found support for an association between green and, to less degree, blue space and mental well-being throughout different life stages. In addition, we found a positive association with individual indicators of mental well-being such as being productive, feeling less downhearted and calmer, and being social. The healthy blood donor effect and the bias towards urban residency may explain why we found smaller effect sizes between green and blue space and mental well-being for this generally healthy and resourceful cohort compared to previous studies.
•Current and childhood green space was positively associated with mental well-being.•Feeling calm was associated with higher levels of curren |
doi_str_mv | 10.1016/j.healthplace.2021.102678 |
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•Current and childhood green space was positively associated with mental well-being.•Feeling calm was associated with higher levels of current blue space.•Physical activity enhanced the green space association.•With life-style related factors, the environment may influence mental well-being.</description><identifier>ISSN: 1353-8292</identifier><identifier>EISSN: 1873-2054</identifier><identifier>DOI: 10.1016/j.healthplace.2021.102678</identifier><identifier>PMID: 34610547</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Air pollution ; Blood ; Blood & organ donations ; Blood Donors ; Body mass index ; Body size ; Child ; Childhood ; Children ; Denmark ; Densification ; Environment ; Green infrastructure ; Health surveys ; Humans ; Lakes ; Landsat ; Landscape ; Life Change Events ; Life course ; Life satisfaction ; Life transitions ; Mental Health ; Natural environment ; Nature ; Parks & recreation areas ; Physical activity ; Physical fitness ; Regression analysis ; Regression models ; Remote sensing ; Satellite imagery ; Smoking ; Socioeconomic status ; Socioeconomics ; Urban development ; Urbanization ; Well being</subject><ispartof>Health & place, 2021-11, Vol.72, p.102678-102678, Article 102678</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright © 2021 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Nov 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-53907bb063f0e88655a706dc126525972e935bf55b4a766bec4d902a1df2a0ba3</citedby><cites>FETCH-LOGICAL-c405t-53907bb063f0e88655a706dc126525972e935bf55b4a766bec4d902a1df2a0ba3</cites><orcidid>0000-0002-7973-3623 ; 0000-0001-5288-3851 ; 0000-0003-1519-8091 ; 0000-0003-2549-1750 ; 0000-0003-1431-1726 ; 0000-0002-4856-496X ; 0000-0002-3415-0862</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.healthplace.2021.102678$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27866,27924,27925,30999,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34610547$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Engemann, Kristine</creatorcontrib><creatorcontrib>Svenning, Jens-Christian</creatorcontrib><creatorcontrib>Arge, Lars</creatorcontrib><creatorcontrib>Brandt, Jørgen</creatorcontrib><creatorcontrib>Bruun, Mie T.</creatorcontrib><creatorcontrib>Didriksen, Maria</creatorcontrib><creatorcontrib>Erikstrup, Christian</creatorcontrib><creatorcontrib>Geels, Camilla</creatorcontrib><creatorcontrib>Hertel, Ole</creatorcontrib><creatorcontrib>Horsdal, Henriette Thisted</creatorcontrib><creatorcontrib>Kaspersen, Kathrine A.</creatorcontrib><creatorcontrib>Mikkelsen, Susan</creatorcontrib><creatorcontrib>Mortensen, Preben Bo</creatorcontrib><creatorcontrib>Nielsen, Kaspar R.</creatorcontrib><creatorcontrib>Ostrowski, Sisse R.</creatorcontrib><creatorcontrib>Pedersen, Ole B.</creatorcontrib><creatorcontrib>Tsirogiannis, Constantinos</creatorcontrib><creatorcontrib>Sabel, Clive E.</creatorcontrib><creatorcontrib>Sigsgaard, Torben</creatorcontrib><creatorcontrib>Ullum, Henrik</creatorcontrib><creatorcontrib>Pedersen, Carsten Bøcker</creatorcontrib><title>A life course approach to understanding associations between natural environments and mental well-being for the Danish blood donor cohort</title><title>Health & place</title><addtitle>Health Place</addtitle><description>Natural environments have been associated with mental health benefits, but globally access to these benefits is threatened by urban development and densification. However, it remains unclear how natural environments relate to mental health and how consistent the association is across populations. Here we use a life-course approach with a population consisting of 66 194 individuals from the Danish Blood Donor Study (DBDS) to investigate the association between green and blue space (e.g. parks and lakes) and self-evaluated mental well-being. Green and blue space was identified from remotely-sensed images from the Landsat program, while mental well-being was based on the mental component score (MCS) calculated using the 12-item short form health survey. We use multivariate linear regression models and logistic regression models to quantify the associations. We adjust for additional environmental (urbanization, and air pollution) and lifestyle factors (smoking, body mass index, socioeconomic status, and physical activity) and specifically evaluate the role of physical activity and air pollution as possible mediating factors. We found a positive association between the MCS and current and childhood green space, and a non-significant association for current and childhood blue space. Adjusting for environmental and the other factors attenuated the effect sizes indicating that a broad range of factors determine mental well-being. Physical activity and air pollution were both associated with the MCS as possible mediators of green space associations. In addition, the odds for successfully completing tasks’, seeing others, and feeling less downhearted increased with higher levels of green space, and the odds of feeling calm increased with higher levels of blue space. In conclusion, we found support for an association between green and, to less degree, blue space and mental well-being throughout different life stages. In addition, we found a positive association with individual indicators of mental well-being such as being productive, feeling less downhearted and calmer, and being social. The healthy blood donor effect and the bias towards urban residency may explain why we found smaller effect sizes between green and blue space and mental well-being for this generally healthy and resourceful cohort compared to previous studies.
•Current and childhood green space was positively associated with mental well-being.•Feeling calm was associated with higher levels of current blue space.•Physical activity enhanced the green space association.•With life-style related factors, the environment may influence mental well-being.</description><subject>Air pollution</subject><subject>Blood</subject><subject>Blood & organ donations</subject><subject>Blood Donors</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Child</subject><subject>Childhood</subject><subject>Children</subject><subject>Denmark</subject><subject>Densification</subject><subject>Environment</subject><subject>Green infrastructure</subject><subject>Health surveys</subject><subject>Humans</subject><subject>Lakes</subject><subject>Landsat</subject><subject>Landscape</subject><subject>Life Change Events</subject><subject>Life course</subject><subject>Life satisfaction</subject><subject>Life transitions</subject><subject>Mental Health</subject><subject>Natural environment</subject><subject>Nature</subject><subject>Parks & recreation areas</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Remote sensing</subject><subject>Satellite imagery</subject><subject>Smoking</subject><subject>Socioeconomic status</subject><subject>Socioeconomics</subject><subject>Urban development</subject><subject>Urbanization</subject><subject>Well 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Jørgen</creator><creator>Bruun, Mie T.</creator><creator>Didriksen, Maria</creator><creator>Erikstrup, Christian</creator><creator>Geels, Camilla</creator><creator>Hertel, Ole</creator><creator>Horsdal, Henriette Thisted</creator><creator>Kaspersen, Kathrine A.</creator><creator>Mikkelsen, Susan</creator><creator>Mortensen, Preben Bo</creator><creator>Nielsen, Kaspar R.</creator><creator>Ostrowski, Sisse R.</creator><creator>Pedersen, Ole B.</creator><creator>Tsirogiannis, Constantinos</creator><creator>Sabel, Clive E.</creator><creator>Sigsgaard, Torben</creator><creator>Ullum, Henrik</creator><creator>Pedersen, Carsten Bøcker</creator><general>Elsevier Ltd</general><general>Elsevier Science 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Lars ; Brandt, Jørgen ; Bruun, Mie T. ; Didriksen, Maria ; Erikstrup, Christian ; Geels, Camilla ; Hertel, Ole ; Horsdal, Henriette Thisted ; Kaspersen, Kathrine A. ; Mikkelsen, Susan ; Mortensen, Preben Bo ; Nielsen, Kaspar R. ; Ostrowski, Sisse R. ; Pedersen, Ole B. ; Tsirogiannis, Constantinos ; Sabel, Clive E. ; Sigsgaard, Torben ; Ullum, Henrik ; Pedersen, Carsten Bøcker</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-53907bb063f0e88655a706dc126525972e935bf55b4a766bec4d902a1df2a0ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Air pollution</topic><topic>Blood</topic><topic>Blood & organ donations</topic><topic>Blood Donors</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Child</topic><topic>Childhood</topic><topic>Children</topic><topic>Denmark</topic><topic>Densification</topic><topic>Environment</topic><topic>Green 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Lars</au><au>Brandt, Jørgen</au><au>Bruun, Mie T.</au><au>Didriksen, Maria</au><au>Erikstrup, Christian</au><au>Geels, Camilla</au><au>Hertel, Ole</au><au>Horsdal, Henriette Thisted</au><au>Kaspersen, Kathrine A.</au><au>Mikkelsen, Susan</au><au>Mortensen, Preben Bo</au><au>Nielsen, Kaspar R.</au><au>Ostrowski, Sisse R.</au><au>Pedersen, Ole B.</au><au>Tsirogiannis, Constantinos</au><au>Sabel, Clive E.</au><au>Sigsgaard, Torben</au><au>Ullum, Henrik</au><au>Pedersen, Carsten Bøcker</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A life course approach to understanding associations between natural environments and mental well-being for the Danish blood donor cohort</atitle><jtitle>Health & place</jtitle><addtitle>Health Place</addtitle><date>2021-11</date><risdate>2021</risdate><volume>72</volume><spage>102678</spage><epage>102678</epage><pages>102678-102678</pages><artnum>102678</artnum><issn>1353-8292</issn><eissn>1873-2054</eissn><abstract>Natural environments have been associated with mental health benefits, but globally access to these benefits is threatened by urban development and densification. However, it remains unclear how natural environments relate to mental health and how consistent the association is across populations. Here we use a life-course approach with a population consisting of 66 194 individuals from the Danish Blood Donor Study (DBDS) to investigate the association between green and blue space (e.g. parks and lakes) and self-evaluated mental well-being. Green and blue space was identified from remotely-sensed images from the Landsat program, while mental well-being was based on the mental component score (MCS) calculated using the 12-item short form health survey. We use multivariate linear regression models and logistic regression models to quantify the associations. We adjust for additional environmental (urbanization, and air pollution) and lifestyle factors (smoking, body mass index, socioeconomic status, and physical activity) and specifically evaluate the role of physical activity and air pollution as possible mediating factors. We found a positive association between the MCS and current and childhood green space, and a non-significant association for current and childhood blue space. Adjusting for environmental and the other factors attenuated the effect sizes indicating that a broad range of factors determine mental well-being. Physical activity and air pollution were both associated with the MCS as possible mediators of green space associations. In addition, the odds for successfully completing tasks’, seeing others, and feeling less downhearted increased with higher levels of green space, and the odds of feeling calm increased with higher levels of blue space. In conclusion, we found support for an association between green and, to less degree, blue space and mental well-being throughout different life stages. In addition, we found a positive association with individual indicators of mental well-being such as being productive, feeling less downhearted and calmer, and being social. The healthy blood donor effect and the bias towards urban residency may explain why we found smaller effect sizes between green and blue space and mental well-being for this generally healthy and resourceful cohort compared to previous studies.
•Current and childhood green space was positively associated with mental well-being.•Feeling calm was associated with higher levels of current blue space.•Physical activity enhanced the green space association.•With life-style related factors, the environment may influence mental well-being.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>34610547</pmid><doi>10.1016/j.healthplace.2021.102678</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-7973-3623</orcidid><orcidid>https://orcid.org/0000-0001-5288-3851</orcidid><orcidid>https://orcid.org/0000-0003-1519-8091</orcidid><orcidid>https://orcid.org/0000-0003-2549-1750</orcidid><orcidid>https://orcid.org/0000-0003-1431-1726</orcidid><orcidid>https://orcid.org/0000-0002-4856-496X</orcidid><orcidid>https://orcid.org/0000-0002-3415-0862</orcidid></addata></record> |
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ispartof | Health & place, 2021-11, Vol.72, p.102678-102678, Article 102678 |
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source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; PAIS Index; Access via ScienceDirect (Elsevier) |
subjects | Air pollution Blood Blood & organ donations Blood Donors Body mass index Body size Child Childhood Children Denmark Densification Environment Green infrastructure Health surveys Humans Lakes Landsat Landscape Life Change Events Life course Life satisfaction Life transitions Mental Health Natural environment Nature Parks & recreation areas Physical activity Physical fitness Regression analysis Regression models Remote sensing Satellite imagery Smoking Socioeconomic status Socioeconomics Urban development Urbanization Well being |
title | A life course approach to understanding associations between natural environments and mental well-being for the Danish blood donor cohort |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T10%3A52%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20life%20course%20approach%20to%20understanding%20associations%20between%20natural%20environments%20and%20mental%20well-being%20for%20the%20Danish%20blood%20donor%20cohort&rft.jtitle=Health%20&%20place&rft.au=Engemann,%20Kristine&rft.date=2021-11&rft.volume=72&rft.spage=102678&rft.epage=102678&rft.pages=102678-102678&rft.artnum=102678&rft.issn=1353-8292&rft.eissn=1873-2054&rft_id=info:doi/10.1016/j.healthplace.2021.102678&rft_dat=%3Cproquest_cross%3E2579631301%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2619483923&rft_id=info:pmid/34610547&rft_els_id=S135382922100174X&rfr_iscdi=true |