Factors Related to Regional Variation in the High-risk Drinking Rate in Korea: Using Quantile Regression.

ABSTRACT:

Objectives

This study aimed to identify regional differences in the high-risk drinking rate among yearly alcohol users in Korea and to identify relevant regional factors for each quintile using quantile regression.

Methods

Data from 227 counties surveyed by the 2017 Korean Community Health Survey (KCHS) were analyzed. The analysis dataset included secondary data extracted from the Korean Statistical Information Service and data from the KCHS. To identify regional factors related to the high-risk drinking rate among yearly alcohol users, quantile regression was conducted by dividing the data into 10%, 30%, 50%, 70%, and 90% quantiles, and multiple linear regression was also performed.

Results

The current smoking rate, perceived stress rate, crude divorce rate, and fina

SUBMITTER: Kim ES 

PROVIDER: S-EPMC8046605 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature