Using structural equation modeling to examine pathways between perceived residential green space and mental health among internal migrants in China

Yang, Min; Dijst, Martin; Faber, Jan; Helbich, Marco

doi:10.1016/j.envres.2020.109121

Cited by 61 publications

(49 citation statements)

References 70 publications

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“…The independent variables were self-assessments of "physical health", "mental health", and "social interaction level", while the dependent variables were "improve physical health", "improve mental health", "meet social needs". Previous studies have suggested that the time and frequency of exposure significantly affect the benefits afforded by green spaces, that is, more frequent visits and more prolonged exposure have more positive effects [49,52,53]. Therefore, we introduced duration and frequency into the mediator of the model.…”

Section: Mediation Analysis Resultsmentioning

confidence: 99%

“…Due to the restrictions of urban quarantine policies, face-to-face interviews could not be used, so an online questionnaire was adopted. At the same time, studies on physical and mental health and social interaction status have proven that self-reporting is a feasible method [24,45,49]. Therefore, a 5-level Likert scale was used for self-assessment of residents (physical health level, mental health level; 1 = very poor, 5 = very good; social interaction level, 1 = not at all, 5 = completely adequate).…”

Section: Self-assessment Of Physical and Mental Health And Social Interaction Levelmentioning

confidence: 99%

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Urban Parks as Green Buffers During the COVID-19 Pandemic

et al. 2020

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In many parts of the world, concerns about the COVID-19 pandemic and city quarantine policy have led to a general decline in the physical and mental health of residents due to insufficient social interaction. These adverse effects can cause potential public health risks. Ways to alleviate the adverse impact of the pandemic and meet social interaction needs must be widely addressed. This survey was conducted from 1–5 April 2020; it collected 386 responses from residents of Chengdu, China, during the pandemic based on an online survey questionnaire. The results indicate that most of the residents believe their health status is poor, and that they do not experience adequate social contact with others. Most of the respondents indicated no difference in mental health, while a few reported differences in their physical health and social interaction levels. Visiting urban parks can significantly improve overall health and assist in meeting individuals’ social interaction needs. Although residents have reduced the frequency of visits during the pandemic, even once a week can be beneficial. This paper emphasizes the critical role of urban parks during the pandemic period from the perspective of the urban building environment. The conclusion affirms that urban parks and large outdoor, open spaces can provide residents with a place for safe outdoor activities and social interaction in a green environment during a pandemic, as well as serve as a buffer area to maintain favorable health and quality of life.

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Section: Mediation Analysis Resultsmentioning

confidence: 99%

Section: Self-assessment Of Physical and Mental Health And Social Interaction Levelmentioning

confidence: 99%

Urban Parks as Green Buffers During the COVID-19 Pandemic

et al. 2020

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“…Furthermore, an improved understanding of the relationship between specific health pathways and different physical and mental health outcomes and the strength of these relationships relative to green space and coastal blue space is required. Such research can be supported, for example, by structural equation modelling, which has proved to be a particularly effective methodology for quantifying the role of different pathways in supporting positive health outcomes as a result of exposure to natural environments (Dzhambov et al, 2018;Yang et al, 2020).…”

Section: Broadening and Advancing The Freshwater Blue-health Evidence Basementioning

confidence: 99%

Freshwater blue space and population health: An emerging research agenda

McDougall

Quilliam

Hanley

et al. 2020

Science of The Total Environment

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Growing evidence suggests that access and exposure to water bodies or blue spaces can provide a variety of health and well-being benefits. Attempts to quantify these "blue-health" benefits have largely focused on coastal environments, with freshwater blue spaces receiving far less attention despite over 50 % of the global population living within three km of a body of freshwater and populations living in landlocked areas having limited coastal access. This critical review identifies opportunities to improve our understanding of the relationship between freshwater blue space and health and well-being, and outlines key recommendations to broaden the portfolio of emerging research needs associated with the field of blue-health. Recognising fundamental distinctions in relationships between health outcomes and access and exposure to freshwater versus coastal blue space is critical. Furthermore, research to determine the mechanisms that link exposure to freshwater blue space with tangible health outcomes is needed, and in particular an understanding of how such mechanisms vary across the wide spectrum of freshwater environments present in landscapes. Current methods for quantifying access and exposure to freshwater blue space often fail to account for the unique spatial properties of freshwater and come with a variety of limitations. Based on the findings of this review, a suite of research needs are proposed, which can be categorised into three broad themes: (i) establishing a freshwater blue-health methodological framework; (ii) advancing the empirical freshwater blue-health evidence base; and (iii) promoting freshwater blue-health opportunities. When taken together, these research themes offer opportunities to advance current understanding and better integrate freshwater blue space into the wider nature-health research agenda.

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“…Overall, this study has provided a potential pathway to quantify the importance of different predictors on psychological health and has produced a more realistic association between related risk factors and psychological health by using the GBDT model. Further studies are advised to apply the GBDT to evaluate the direct and indirect effect of different noise exposures in both outdoor and perceived environments on mental health and to explore the potential preventive benefits of psychological noise attenuation by urban environment [67][68][69]. Additional research on exploring the potential pathway between green space exposure, air pollution, and psychological wellbeing is also recommended using GBDT [70][71][72][73].…”

Section: Evidence On the Association Between Risk Factors And The Level Of Psychological Distressmentioning

confidence: 99%

Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision Trees

Chen

Liu

2021

IJERPH

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Background: A growing body of scientific literature indicates that risk factors for COVID-19 contribute to a high level of psychological distress. However, there is no consensus on which factors contribute more to predicting psychological health. Objectives: The present study quantifies the importance of related risk factors on the level of psychological distress and further explores the threshold effect of each rick factor on the level of psychological distress. Both subjective and objective measures of risk factors are considered in the model. Methods: We sampled 937 individual items of data obtained from an online questionnaire between 20 January and 13 February 2020 in China. Objective risk factors were measured in terms of direct distance from respondents’ housing to the nearest COVID-19 hospital, direct distance from respondents’ housing to the nearest park, and the air quality index (AQI). Perceived risk factors were measured in regard to perceived distance to the nearest COVID-19 hospital, perceived air quality, and perceived environmental quality. Psychological distress was measured with the Kessler psychological distress scale K6 score. The following health risk factors and sociodemographic factors were considered: self-rated health level, physical health status, physical activity, current smoker or drinker, age, gender, marital status, educational attainment level, residence location, and household income level. A gradient boosting decision tree (GBDT) was used to analyse the data. Results: Health risk factors were the greatest contributors to predicting the level of psychological distress, with a relative importance of 42.32% among all influential factors. Objective risk factors had a stronger predictive power than perceived risk factors (23.49% vs. 16.26%). Furthermore, it was found that there was a dramatic rise in the moderate level of psychological distress regarding the threshold of AQI between 40 and 50, and 110 and 130, respectively. Gender-sensitive analysis revealed that women and men responded differently to psychological distress based on different risk factors. Conclusion: We found evidence that perceived indoor air quality played a more important role in predicting psychological distress compared to ambient air pollution during the COVID-19 pandemic.

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Using structural equation modeling to examine pathways between perceived residential green space and mental health among internal migrants in China

Cited by 61 publications

References 70 publications

Urban Parks as Green Buffers During the COVID-19 Pandemic

Urban Parks as Green Buffers During the COVID-19 Pandemic

Freshwater blue space and population health: An emerging research agenda

Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision Trees

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