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Exposure To Nature: An Underutilized Component Of Student Mental Health, Jeremy S. Bekker May 2021

Exposure To Nature: An Underutilized Component Of Student Mental Health, Jeremy S. Bekker

Intuition: The BYU Undergraduate Journal of Psychology

Nature-exposure interventions on university campuses may serve as an effective addition to overburdened counseling and student support centers. Nature-exposure interventions can work as a preventative health measure on campuses, which can be used adjacently with existing health resources. This paper outlines the potential benefits of nature exposure for students’ physical health, mental well-being, and academic success. Previous research has demonstrated that nature exposure may help reduce cognitive load, decrease negative psychological symptoms, increase psychological coping ability, and lead to better physical health. Many campuses already contain green spaces, defined as any part of an environment that is predominately made of …


Modeling The Influence Of Public Risk Perceptions On The Adoption Of Green Stormwater Infrastructure: An Application Of Bayesian Belief Networks Versus Logistic Regressions On A Statewide Survey Of Households In Vermont, Qing Ren, Asim Zia, Donna M. Rizzo, Nancy Mathews Oct 2020

Modeling The Influence Of Public Risk Perceptions On The Adoption Of Green Stormwater Infrastructure: An Application Of Bayesian Belief Networks Versus Logistic Regressions On A Statewide Survey Of Households In Vermont, Qing Ren, Asim Zia, Donna M. Rizzo, Nancy Mathews

College of Engineering and Mathematical Sciences Faculty Publications

There is growing environmental psychology and behavior literature with mixed empirical evidence about the influence of public risk perceptions on the adoption of environmentally friendly “green behaviors”. Adoption of stormwater green infrastructure on residential properties, while costlier in the short term compared to conventional greywater infrastructure, plays an important role in the reduction of nutrient loading from non-point sources into freshwater rivers and lakes. In this study, we use Bayesian Belief Networks (BBNs) to analyze a 2015 survey dataset (sample size = 472 respondents) about the adoption of green infrastructure (GSI) in Vermont’s residential areas, most of which are located …