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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Veröffentlicht in:Health & place 2021-11, Vol.72, p.102678-102678, Article 102678
Hauptverfasser: 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
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container_start_page 102678
container_title Health & place
container_volume 72
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
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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. 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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. 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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 being</subject><issn>1353-8292</issn><issn>1873-2054</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>7TQ</sourceid><recordid>eNqNkctu1DAUhi1ERUvhFZARGzYZfImdeFlNaUGqxKasLV9OiEcZe7CdVjwCb41HUxBixcpHv77f5_Ij9JaSDSVUfthtZjBLnQ-LcbBhhNGmMzmMz9AFHQfeMSL6563mgncjU-wcvSxlRwiRY09foHPeS9qQ4QL9vMJLmAC7tOYC2BwOORk345rwGj3kUk30IX7DppTkgqkhxYIt1EeAiKOpazYLhvgQcop7iLXgZsDHqumPsCydhaN_ShnXGfC1iaHM2C4peexTbLJLc8r1FTqbzFLg9dN7ib7efLzffuruvtx-3l7dda4nonaCKzJYSySfCIyjFMIMRHpHmRRMqIGB4sJOQtjeDFJacL1XhBnqJ2aINfwSvT_92zb9vkKpeh-Ka4OaCGktmolBSU45oQ199w-6a2eKbTrNJFX9yBXjjVInyuVUSoZJH3LYm_xDU6KPeemd_isvfcxLn_Jq3jdPHVa7B__H-TugBmxPALSTPATIurgA0YEPGVzVPoX_aPMLiW-uHw</recordid><startdate>202111</startdate><enddate>202111</enddate><creator>Engemann, Kristine</creator><creator>Svenning, Jens-Christian</creator><creator>Arge, Lars</creator><creator>Brandt, 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 Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7T2</scope><scope>7TQ</scope><scope>8BJ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>7X8</scope><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></search><sort><creationdate>202111</creationdate><title>A life course approach to understanding associations between natural environments and mental well-being for the Danish blood donor cohort</title><author>Engemann, Kristine ; 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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. 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identifier ISSN: 1353-8292
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issn 1353-8292
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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
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