Analysis of the relationship between community characteristics and depression using geographically weighted regression.

ABSTRACT:

Objectives

Achieving national health equity is currently a pressing issue. Large regional variations in the health determinants are observed. Depression, one of the most common mental disorders, has large variations in incidence among different populations, and thus must be regionally analyzed. The present study aimed at analyzing regional disparities in depressive symptoms and identifying the health determinants that require regional interventions.

Methods

Using health indicators of depression in the Korea Community Health Survey 2011 and 2013, the Moran's I was calculated for each variable to assess spatial autocorrelation, and a validated geographically weighted regression analysis using ArcGIS version 10.1 of different domains: health behavior, morbidity, and the social

SUBMITTER: Choi H 

PROVIDER: S-EPMC5668667 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature