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Journal ArticleDOI

Neighbourhood greenness and mental wellbeing in Guangzhou, China: What are the pathways?

TLDR
In this article, the authors explore biopsychosocial pathways linking exposure to neighbourhood greenness to mental wellbeing using survey data collected from 35 neighbourhoods of Guangzhou, China, using the Normalized Difference Vegetation Index (NDVI) as the surrogate for residential exposure to greenness, thereby enabling the comparison between China and other countries.
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This article is published in Landscape and Urban Planning.The article was published on 2019-10-01. It has received 139 citations till now. The article focuses on the topics: Neighbourhood (mathematics).

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Citations
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Analytical approaches to testing pathways linking greenspace to health: A scoping review of the empirical literature.

TL;DR: A persistent pattern of suboptimal conduct and reporting of mediation analysis in epidemiological studies investigating pathways linking greenspace to health is found; however, recent years have seen improvements in these respects.
Journal ArticleDOI

Exploring the linkage between greenness exposure and depression among Chinese people: Mediating roles of physical activity, stress and social cohesion and moderating role of urbanicity

TL;DR: Results from multilevel models along with mediation analysis show that exposure to residential greenness is negatively associated with depression, and that physical activity, stress and neighbourhood social cohesion altogether have a complete mediation effect on this association.
Journal ArticleDOI

Residential greenness, air pollution and psychological well-being among urban residents in Guangzhou, China.

TL;DR: It is suggested that street trees may be more related to lower air pollution levels and better mental health than grasses are and psychological well-being is quantified using the World Health Organization Well-Being Index.
Journal ArticleDOI

Natural outdoor environment, neighbourhood social cohesion and mental health: Using multilevel structural equation modelling, streetscape and remote-sensing metrics

TL;DR: Zhang et al. as discussed by the authors examined the relationship between neighbourhood natural outdoor environments and individuals' mental health in Guangzhou, China, using a combination of questionnaire survey data, streetscape and remote-sensing metrics, and multilevel structural equation modelling.
Journal ArticleDOI

The pathways linking objectively-measured greenspace exposure and mental health: A systematic review of observational studies

TL;DR: In this paper, a systematic review was conducted to synthesise current evidence on the pathways linking objectively-measured greenspace exposure and mental health using a systematic search approach, highlighting the key pathways linking green spaces to mental well-being via harmful mitigation, psychological restoration, and encouragement of health-related behaviours.
References
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Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Book

The Experience of Nature: A Psychological Perspective

TL;DR: A study of the natural environment, people, and the relationship between them is presented in this paper, where the authors offer a research-based analysis of the vital psychological role that nature plays.
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From social integration to health: Durkheim in the new millennium.

TL;DR: In this article, the authors present a conceptual model of how social networks impact health, and argue that networks operate at the behavioral level through four primary pathways: (1) provision of social support; (2) social influence; (3) on social engagement and attachment; and (4) access to resources and material goods.
Journal ArticleDOI

Propensity score-matching methods for nonexperimental causal studies

TL;DR: In this article, the authors consider causal inference and sample selection bias in nonexperimental settings in which few units in the nonex-experiment comparison group are comparable to the treatment units, and selecting a subset of comparison units similar to treatment units is difficult because units must be compared across a high-dimensional set of pre-treatment characteristics.
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