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Global urbanization has sparked substantial environmental, public health, and social science research on the importance of conserving and propagating natural environments. A large subset of this work focuses on the benefits of green space for health. An often-overlooked methodological concern when examining relations between green space and health, however, involves residential self-selection. The selective movement of individuals into greener neighborhoods on the basis of preexisting health and correlated social factors may bias associations, particularly in cross-sectional studies, which predominate existing green space/health research. To quantify the extent of residential self-selection bias, this study used a longitudinal sibling comparison design with repeated individual and neighborhood measures to estimate associations between pre-move health factors, including maternal body mass index (BMI) and infant birthweight, and post-move neighborhood green space in a residentially mobile sample of mothers in California, 2007 to 2015 (n = 288,333). Results show that better health before moving predicted higher levels of neighborhood green space after moving, providing evidence of health selection. Findings also indicate some support for differential health selection into neighborhood green space by race/ethnicity, including that evidence of selection emerges for white and Hispanic, but not Black, mothers. However, weak relations between pre-move individual factors and post-move neighborhood green space across analyses suggest that potential bias due to residential self-selection appears relatively minimal in a large, diverse, and highly mobile sample of families in California. Findings support calls to increase green space in historically marginalized neighborhoods as a means to promote environmental and health equity. • Greenspace-health research relies on cross-sectional designs susceptible to bias. • Study examines role of pre-move health on post-move greenspace among mothers. • Finds evidence of health selection into greenspace, stronger for White mothers. • Weak associations indicate minimal bias due to health selection in study population. • Suggest contextual and selection effects involved in greenspace-health associations. [ABSTRACT FROM AUTHOR]

This article explores the importance of nature exposure in the modern era and the potential health benefits associated with it. It acknowledges the shift from a natural, outdoor lifestyle to one dominated by urban environments, which has limited access to nature, particularly for certain socioeconomic and racial/ethnic groups. The article emphasizes the negative consequences of reduced nature exposure on mental and physical health. It introduces two new technologies, NatureScoreTM and NatureDoseTM, which aim to quantify and promote nature exposure for health promotion purposes. NatureScoreTM is a dataset and tool that estimates the amount and quality of nature at any location, while NatureDoseTM is a mobile app that tracks an individual's daily or weekly exposure to nature. These technologies provide convenient and accurate ways to measure nature exposure and may help researchers understand the benefits of nature exposure and promote its use for health promotion. NatureDoseTM is a smartphone app that passively monitors a person's time spent indoors, outdoors, and outdoors in nature. The app uses the smartphone's sensors, geolocation, and a dataset called NatureScoreTM to determine the user's location and the amount of nature within a 1-km buffer. It assigns full nature exposure time credit when a user is outdoors in a designated natural area, and partial credit when they are outdoors but not in a natural area. The app also allows users to set a weekly goal for time spent outdoors in nature and tracks their progress. It has potential uses for clinicians, researchers, and policymakers, such as setting [Extracted from the article]