C L Ambrey1. 1. Urban Research Program (URP), Gold Coast Campus, Griffith University, Queensland 4222, Australia. Electronic address: c.ambrey@griffith.edu.au.
Abstract
OBJECTIVES: The purpose of this study is to investigate the synergy between greenspace and physical activity and its implications for well-being. In particular, how this synergy may depend on population size in the neighborhood. STUDY DESIGN: Cross-sectional analysis of resident-level responses from the Household, Income and Labour Dynamics in Australia (HILDA) survey for 2013 subset to Australia's major capital cities and linked to Geographic Information Systems (GIS) data. METHODS: GIS data on greenspace and Australian Bureau of Statistics data on population size for the neighborhood are matched to the residents in the HILDA survey on the basis of the Census Collection District in which they reside. A cluster-specific fixed effects model is estimated for the outcomes of mental health and psychological distress. A battery of sociodemographic and location characteristics were also adjusted for. Interaction terms are used to discern the extent to which population size may moderate any synergistic well-being benefits associated with physical activity and greenspace. This question is ultimately operationalized as a three-way interaction effect (greenspace × physical activity × population size). RESULTS: The results indicate that physical activity is most strongly and positively associated with mental health (statistically significant at the 1% level), with an estimated coefficient of 0.6307. The results also reveal that physical activity is negatively associated with psychological distress (statistically significant at the 10% level), with an estimated coefficient of -0.2447. Unexpectedly, for both mental health and psychological distress the greenspace and population variables are not found to have separate statistically significant effects. Furthermore, while the results fail to find, on average, the hypothesized synergy between greenspace and physical activity, a closer inspection reveals that this link may depend on the population size of a neighborhood. The interaction term for greenspace, physical activity and population bears a coefficient estimate of 0.0033, statistically significant at the 5% level in the mental health regression and a coefficient of -0.0032, statistically significant at the 1% level in the psychological distress regression. CONCLUSION: The results indicate that physical activity is linked differently to mental health and psychological distress. The results initially provide no evidence of the hypothesized greenspace-physical activity synergy. The results provide evidence that this synergy is greater in more populated neighborhoods.
OBJECTIVES: The purpose of this study is to investigate the synergy between greenspace and physical activity and its implications for well-being. In particular, how this synergy may depend on population size in the neighborhood. STUDY DESIGN: Cross-sectional analysis of resident-level responses from the Household, Income and Labour Dynamics in Australia (HILDA) survey for 2013 subset to Australia's major capital cities and linked to Geographic Information Systems (GIS) data. METHODS: GIS data on greenspace and Australian Bureau of Statistics data on population size for the neighborhood are matched to the residents in the HILDA survey on the basis of the Census Collection District in which they reside. A cluster-specific fixed effects model is estimated for the outcomes of mental health and psychological distress. A battery of sociodemographic and location characteristics were also adjusted for. Interaction terms are used to discern the extent to which population size may moderate any synergistic well-being benefits associated with physical activity and greenspace. This question is ultimately operationalized as a three-way interaction effect (greenspace × physical activity × population size). RESULTS: The results indicate that physical activity is most strongly and positively associated with mental health (statistically significant at the 1% level), with an estimated coefficient of 0.6307. The results also reveal that physical activity is negatively associated with psychological distress (statistically significant at the 10% level), with an estimated coefficient of -0.2447. Unexpectedly, for both mental health and psychological distress the greenspace and population variables are not found to have separate statistically significant effects. Furthermore, while the results fail to find, on average, the hypothesized synergy between greenspace and physical activity, a closer inspection reveals that this link may depend on the population size of a neighborhood. The interaction term for greenspace, physical activity and population bears a coefficient estimate of 0.0033, statistically significant at the 5% level in the mental health regression and a coefficient of -0.0032, statistically significant at the 1% level in the psychological distress regression. CONCLUSION: The results indicate that physical activity is linked differently to mental health and psychological distress. The results initially provide no evidence of the hypothesized greenspace-physical activity synergy. The results provide evidence that this synergy is greater in more populated neighborhoods.
Authors: Nicholas A Petrunoff; Ng Xian Yi; Borame Dickens; Angelia Sia; Joel Koo; Alex R Cook; Wee Hwee Lin; Lu Ying; Ann W Hsing; Rob M van Dam; Falk Müller-Riemenschneider Journal: Int J Behav Nutr Phys Act Date: 2021-07-02 Impact factor: 6.457