The socioeconomic status (SES) and health behaviors of workers are associated with the risks of developing obesity, diabetes, hypertension, hyperlipidemia, and other cardiovascular diseases. Herein, we investigated the factors influencing cardiovascular disease (CVD) risk based on the SES of male and female workers. This cross-sectional analysis used the National Health Information Database to assess the associations between gender, SES (income level, residential area), health behaviors, and CVD-related health status of workers, through multinomial logistic regression. Upon analysis of a large volume of data on workers during 2016, the smoking and drinking trends of male and female workers were found to differ, causing different odds ratio (OR) tendencies of the CVD risk. Also, while for male workers, higher ORs of obesity or abdominal obesity were associated with higher incomes or residence in metropolitan cities, for female workers, they were associated with lower incomes or residence in rural areas. Additionally, among the factors influencing CVD risk, lower income and residence in rural areas were associated with higher CVD risk for male and female workers. The study findings imply the importance of developing gender-customized intervention programs to prevent CVD, due to gender-specific associations between CVD-related health status and health behaviors according to SES. Health Information Database (NHIS-NHID), was employed to verify the association between the SES of male and female workers in Korea and their CVD-related health statuses. The findings of this study will contribute to the production of basic statistics with large volumes of data through an analysis of the factors influencing CVD risk in male and female workers.
Materials and Methods
Data SourcesThe NHIS of Korea provides health insurance cover to the entire population of the country [13] and allows an insured worker and his or her dependent to receive a free annual or biannual health examination [15]. Based on the NHIS, the national health information database has a large volume of data, including 1.3 trillion pieces of information on the qualifications, premiums, health examination results, and treatment records of the entire population [16]. The NHIS-NHID is the dataset prepared by extracting, summarizing, and processing the health insurance information collected, possessed, and managed by the NHIS for study purposes, while ensuring that personal information cannot be identified [16]. The NHIS-NHID consists of the qualification database, the health examination database, and the claim database [15]. The qualification database includes gender differentiated into male and female, age, premium, and residential area. The premium is defined as the amount paid thus far by the insured worker, and it is categorized into one of 20 quintiles. The residential area is categorized into codes representing the area of residence of the insured. The health examination database contains data from a regular health examination and the accompanying health questi...