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      Mapping perceived sentiments in university campuses with varied landscape metrics and climatic conditions

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          Abstract

          A sustainable university campus should accommodate students to experience positive emotions, which can be evoked by sustainable landscape with green and blue spaces (GBS). This effect is location-dependent because local vegetative type is climate-determinative, but evidence is not sufficient for sentiments of people experiencing campus landscapes. Forty-seven university campuses were selected along a latitudinal gradient in mainland China, and 100 subjects were chosen per campus (50 indoor and 50 outdoor). Photos of the subjects’ faces on Sina Weibo were collected. Facial expressions were assigned happy, sad, and neutral scores ( n = 4,334). The average temperature (AveT) and blue space area (BlueA) showed negative relationships with latitude, thereby generating neutral emotion scores for subjects at indoor and outdoor locations. The ratio of green space area to host campus was the only landscape metric that depressed the presentation of happiness and enhanced sadness levels. Large water bodies should be built on campuses to induce calmness, and a high ratio of green spaces should be avoided. Mapping results show that campuses in eastern regions (Beijing and Liaoning) tend to elicit positive sentiments more frequently.

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          Stress recovery during exposure to natural and urban environments

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            Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures

            For structural equation models, a huge variety of fit indices has been developed. These indices, however, can point to conflicting conclusions about the extent to which a model actually matches the observed data. The present article provides some guidelines that should help applied researchers to evaluate the adequacy of a given structural equation model. First, as goodness-of-fit measures depend on the method used for parameter estimation, maximum likelihood (ML) and weighted least squares (WLS) methods are introduced in the context of structural equation modeling. Then, the most common goodness-of-fit indices are discussed and some recommendations for practitioners given. Finally, we generated an artificial data set according to a "true" model and analyzed two misspecified and two correctly specified models as examples of poor model fit, adequate fit, and good fit.
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              Contact with blue-green spaces during the COVID-19 pandemic lockdown beneficial for mental health

              There is growing evidence that ecosystem services and especially the exposure to the natural world (blue-green spaces) has potential benefits for mental health and well-being. The COVID-19 pandemic and the measures adopted to control it provide a natural experiment to investigate the links between nature exposure and mental health under extreme conditions. Using a survey distributed online, we tested the following hypotheses: 1) People will show greater symptoms of depression and anxiety under lockdown conditions that did not allow contact with outdoor nature spaces; 2) Where access to public outdoor nature spaces was strictly restricted, (2a) those with green/blue nature view or (2b) access to private outdoor spaces such as a garden or balcony will show fewer symptoms of depression and anxiety, and a more positive mood. Based on 5,218 responses from 9 countries, we found that lockdown severity significantly affected mental health, while contact with nature helped people to cope with these impacts, especially for those under strict lockdown. People under strict lockdown in Spain (3,403 responses), perceived that nature helped them to cope with lockdown measures; and emotions were more positive among individuals with accessible outdoor spaces and blue-green elements in their views. These findings can help decision-makers in developing potential future lockdown measures to mitigate the negative impacts, helping people to be more resilient and maintain better mental health, using the benefits that ecosystem services are providing us.

                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2634544/overviewRole: Role: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2002726/overviewRole: Role: Role: Role: Role: Role: Role: Role:
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                25 October 2024
                2024
                : 15
                : 1467966
                Affiliations
                [1] 1School of Education, Johns Hopkins University , Baltimore, MD, United States
                [2] 2Ice and Snow Tourism Resorts Equipment and Intelligent Service Technology Ministry of Culture and Tourism Key Laboratory, Jilin University , Changchun, China
                Author notes

                Edited by: Myriam Ertz, Université du Québec à Chicoutimi, Canada

                Reviewed by: Chourouk Ouerghemmi, Université du Québec à Chicoutimi, Canada

                Tian Zeng, Université du Québec à Rimouski, Canada

                *Correspondence: Yuxiang Sun, sunyuxiang@ 123456jlu.edu.cn
                Article
                10.3389/fpsyg.2024.1467966
                11543409
                37eb9deb-7456-42af-a785-5444e5326a49
                Copyright © 2024 Yan and Sun.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 21 July 2024
                : 09 October 2024
                Page count
                Figures: 9, Tables: 2, Equations: 7, References: 73, Pages: 18, Words: 10551
                Funding
                The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was financially funded by National Natural Science Foundation of China (grant numbers: 72374083; 72004077).
                Categories
                Psychology
                Original Research
                Custom metadata
                Environmental Psychology

                Clinical Psychology & Psychiatry
                sustainable campus,higher education,perceived sentiment,mental health and well-being,landscape,green and blue spaces

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