Exploring Housing Determinants of Obesity Prevalence Using Multiscale Geographically Weighted Regression in Chicago, Illinois

被引:12
|
作者
Lotfata, Aynaz [1 ]
Tomal, Mateusz [2 ]
机构
[1] Chicago State Univ, Urban Planning & GIS, Chicago, IL 60628 USA
[2] Cracow Univ Econ, Dept Real Estate & Investment Econ, PL-31510 Krakow, Poland
来源
PROFESSIONAL GEOGRAPHER | 2023年 / 75卷 / 03期
关键词
housing determinants; obesity prevalence; spatial models; spatial scales; LAND-USE MEASURES; NEIGHBORHOOD ENVIRONMENT; HEALTH; WALKABILITY; OVERWEIGHT; SLEEP;
D O I
10.1080/00330124.2022.2111692
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
To date, research has largely ignored residential determinants of obesity prevalence. There is very little information on whether these impacts change spatially and operate at different spatial scales. As a result, the purpose of this study is to identify the housing determinants of obesity in Chicago, Illinois, using multiscale geographically weighted regression. The main factors associated with obesity prevalence in Chicago, according to the findings, are housing affordability and housing stability. The rising burden of housing rent expenses, in particular, is related to an increase in the percentage of obese people. Additionally, the study found that the relationships between housing covariates and obesity are spatially heterogeneous and operate at various spatial scales. Finally, this study calls for multiscale and multidisciplinary policies to reduce obesity prevalence.
引用
收藏
页码:335 / 344
页数:10
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