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^*

^*Corresponding author for this work

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

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
Journal	Wellbeing, Space and Society
Volume	7
DOIs	https://doi.org/10.1016/j.wss.2024.100220
Publication status	Published - Dec 2024

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10.1016/j.wss.2024.100220

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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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AU - Drion, Aglaé

AU - Jacquet, Pierre O.

AU - Brown, Kimberly

AU - Batterham, Philip J.

PY - 2024/12

Y1 - 2024/12

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

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JO - Wellbeing, Space and Society

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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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