Using Geographically Weighted Models to Explore Obesity Prevalence Association with Air Temperature, Socioeconomic Factors, and Unhealthy Behavior in the USA

Author:

Lotfata Aynaz

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development

Reference55 articles.

1. Adlakha D, Brownson RC, Hipp JA (2021) Built environment correlates of overweight and obesity among adults in Chennai. India, Cities & Health 5(3):289–297

2. Anselin L (2001) Spatial econometrics. A companion to theoretical econometrics; Blackwell Publishing Ltd.: Malden, MA, USA. p 310330

3. Biddle N, The Sedentary Behaviour and Obesity Expert Working Group, Cavill U, Ekelund T, Gorely M, Griffiths R, Jago J, Oppert M, Raats J, Salmon G, Stratton G, Vicente-Rodríguez B, Butland L, Prosser D R (2010) Sedentary Behaviour and Obesity: Review of the Current Scientific Evidence. University of Surrey.

4. Black NC (2014) An Ecological Approach to Understanding Adult Obesity Prevalence in the United States: A County-level Analysis using Geographically Weighted Regression. Appl Spatial Analysis 7:283–299

5. Bowen DJ, Quintiliani LM, Bhosrekar SG et al (2018) Changing the housing environment to reduce obesity in public housing residents: a cluster randomized trial. BMC Public Health 18:883

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