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1.
Epidemiology and Health ; : e2018011-2018.
Article in English | WPRIM | ID: wpr-721088

ABSTRACT

OBJECTIVES: This study aimed to investigate the factors related to cancer screening behaviors (CSB). METHODS: The 2014 Korean Community Health Survey used for analysis. The dependent variable was CSB, and the independent variables were demographic, health behavioral, and regional factor. Propensity score matching (PSM) used to control health behavior and regional factors, which were influencing CSB. For statistical analysis, chi-square test and logistic regression analysis used. RESULTS: Logistic regression analysis after PSM showed that gender, age, marital status, educational level, monthly household income, employment type, alcohol drinking, smoking, body mass index group, chronic disease, and subjective health status influenced the CSB, there were statistical differences. CONCLUSIONS: To improve cancer screening (CS), it is necessary to educate individuals on the need for CS and to carry out a personalized CS program based on an individual's demographic status and health behavior.


Subject(s)
Humans , Alcohol Drinking , Body Mass Index , Chronic Disease , Demography , Diagnostic Self Evaluation , Early Detection of Cancer , Employment , Family Characteristics , Health Behavior , Health Surveys , Logistic Models , Marital Status , Propensity Score , Smoke , Smoking
2.
Epidemiology and Health ; : 2018011-2018.
Article in English | WPRIM | ID: wpr-786862

ABSTRACT

OBJECTIVES: This study aimed to investigate the factors related to cancer screening behaviors (CSB).METHODS: The 2014 Korean Community Health Survey used for analysis. The dependent variable was CSB, and the independent variables were demographic, health behavioral, and regional factor. Propensity score matching (PSM) used to control health behavior and regional factors, which were influencing CSB. For statistical analysis, chi-square test and logistic regression analysis used.RESULTS: Logistic regression analysis after PSM showed that gender, age, marital status, educational level, monthly household income, employment type, alcohol drinking, smoking, body mass index group, chronic disease, and subjective health status influenced the CSB, there were statistical differences.CONCLUSIONS: To improve cancer screening (CS), it is necessary to educate individuals on the need for CS and to carry out a personalized CS program based on an individual's demographic status and health behavior.


Subject(s)
Humans , Alcohol Drinking , Body Mass Index , Chronic Disease , Demography , Diagnostic Self Evaluation , Early Detection of Cancer , Employment , Family Characteristics , Health Behavior , Health Surveys , Logistic Models , Marital Status , Propensity Score , Smoke , Smoking
3.
Journal of the Korean Medical Association ; : 74-83, 2012.
Article in Korean | WPRIM | ID: wpr-228900

ABSTRACT

In 2008, the Korean Centers for Disease Control and Prevention (KCDC) initiated Korean Community Health Survey (KCHS), the first nationwide survey to provide data that could be used to plan, implement, monitor and evaluate community health promotion and disease prevention program. This community-based cross-sectional survey has been conducted by 253 community health centers, 36 community universities and 1,500 interviewers. The KCHS standardized questionnaire is developed jointly by KCDC staff, a working group of health indicators standardization subcommittee and 16 metropolitan cities and provinces with 253 regional sites. The KCHS was administered by trained interviewers and the quality control of KCHS was improved by introduction of computer-assisted personal interview in 2010. The questionnaire was reviewed annually so that revised and/or new questions could be added based on public health policy. The additional questions included the fixed and rotating cores, emerging issues and optional modules. The standardized questionnaire of KCHS covered a wide variety of health topics, which could be used to assess the prevalence of personal health behaviors related to causes of disease. The KCHS data allows that the differences of health issues among provinces can be directly compared. Furthermore, the provinces can use these data for their own cost-effective health interventions to improve health promotion and disease prevention.


Subject(s)
Humans , Community Health Centers , Cross-Sectional Studies , Health Behavior , Health Promotion , Health Surveys , Organothiophosphorus Compounds , Prevalence , Public Health , Quality Control , Surveys and Questionnaires
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