Do perceived natural environment and eco-anxiety relate to mental health and quality of life? Findings from a representative adult sample

Aglaé Drion; Pierre O. Jacquet; Kimberly Brown; Philip J. Batterham

doi:10.1016/j.wss.2024.100220

Do perceived natural environment and eco-anxiety relate to mental health and quality of life? Findings from a representative adult sample

Aglaé Drion
, Pierre O. Jacquet
, Kimberly Brown
, Philip J. Batterham

Health Research Institute

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

25 Downloads (Pure)

Abstract

Using data representing the Australian community (n=1083), this study examines whether there is a link between the way individuals perceive their natural living environment and their mental health state. Linear mixed model regressions are used to assess the associations of environmental (perception of environmental problems and eco-anxiety) and non-environmental variables on mental health and quality of life. A small significant association between eco-anxiety and quality of life was found but no significant effects of environmental variables were obtained on mental distress. Our findings suggest that non-environmental explanatory variables, in particular the socioeconomic situation, drive more variance in mental health.

Original language	English
Article number	100220
Pages (from-to)	1-7
Number of pages	7
Journal	Wellbeing, Space and Society
Volume	7
DOIs	https://doi.org/10.1016/j.wss.2024.100220
Publication status	E-pub ahead of print - Sept 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 13 Climate Action

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10.1016/j.wss.2024.100220Licence: CC BY

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Cite this

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title = "Do perceived natural environment and eco-anxiety relate to mental health and quality of life? Findings from a representative adult sample",

abstract = "Using data representing the Australian community (n=1083), this study examines whether there is a link between the way individuals perceive their natural living environment and their mental health state. Linear mixed model regressions are used to assess the associations of environmental (perception of environmental problems and eco-anxiety) and non-environmental variables on mental health and quality of life. A small significant association between eco-anxiety and quality of life was found but no significant effects of environmental variables were obtained on mental distress. Our findings suggest that non-environmental explanatory variables, in particular the socioeconomic situation, drive more variance in mental health.",

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doi = "10.1016/j.wss.2024.100220",

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AU - Drion, Aglaé

AU - Jacquet, Pierre O.

AU - Brown, Kimberly

AU - Batterham, Philip J.

N1 - Funding Information: The work described was carried out in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki). The ethical aspects of the study were approved by The Australian National University Human Research Ethics Committee (ANU HREC protocol number 2020/593).P.O.J. is supported by the Agence Nationale de la Recherche grant ANR-22-CE28-0012-01 eLIFUN (JCJC). The study was supported by funding from the National Health and Medical Research Council, grant 1138713. Funding Information: P.O.J. is supported by the Agence Nationale de la Recherche grant ANR-22-CE28-0012-01 eLIFUN (JCJC) . Publisher Copyright: © 2024 The Author(s)

PY - 2024/9

Y1 - 2024/9

N2 - Using data representing the Australian community (n=1083), this study examines whether there is a link between the way individuals perceive their natural living environment and their mental health state. Linear mixed model regressions are used to assess the associations of environmental (perception of environmental problems and eco-anxiety) and non-environmental variables on mental health and quality of life. A small significant association between eco-anxiety and quality of life was found but no significant effects of environmental variables were obtained on mental distress. Our findings suggest that non-environmental explanatory variables, in particular the socioeconomic situation, drive more variance in mental health.

AB - Using data representing the Australian community (n=1083), this study examines whether there is a link between the way individuals perceive their natural living environment and their mental health state. Linear mixed model regressions are used to assess the associations of environmental (perception of environmental problems and eco-anxiety) and non-environmental variables on mental health and quality of life. A small significant association between eco-anxiety and quality of life was found but no significant effects of environmental variables were obtained on mental distress. Our findings suggest that non-environmental explanatory variables, in particular the socioeconomic situation, drive more variance in mental health.

KW - Climate change

KW - Environment

KW - Mental health

KW - Quality of life

KW - Well-being

UR - https://www.scopus.com/pages/publications/85203791824

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VL - 7

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M1 - 100220

ER -

Do perceived natural environment and eco-anxiety relate to mental health and quality of life? Findings from a representative adult sample

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UN SDGs

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