Aglaé Drion , Pierre O. Jacquet , Kimberly Brown , Philip J. Batterham
{"title":"感知到的自然环境和生态焦虑与心理健康和生活质量有关吗?来自代表性成人样本的研究结果","authors":"Aglaé Drion , Pierre O. Jacquet , Kimberly Brown , Philip J. Batterham","doi":"10.1016/j.wss.2024.100220","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":52616,"journal":{"name":"Wellbeing Space and Society","volume":"7 ","pages":"Article 100220"},"PeriodicalIF":2.4000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666558124000381/pdfft?md5=bb88cbe83d574d9d5bc9c9a8dd59181f&pid=1-s2.0-S2666558124000381-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Do perceived natural environment and eco-anxiety relate to mental health and quality of life? Findings from a representative adult sample\",\"authors\":\"Aglaé Drion , Pierre O. Jacquet , Kimberly Brown , Philip J. Batterham\",\"doi\":\"10.1016/j.wss.2024.100220\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":52616,\"journal\":{\"name\":\"Wellbeing Space and Society\",\"volume\":\"7 \",\"pages\":\"Article 100220\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666558124000381/pdfft?md5=bb88cbe83d574d9d5bc9c9a8dd59181f&pid=1-s2.0-S2666558124000381-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wellbeing Space and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666558124000381\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wellbeing Space and Society","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666558124000381","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Do perceived natural environment and eco-anxiety relate to mental health and quality of life? Findings from a representative adult sample
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.