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Journal of Cancer Prevention ; : 166-173, 2017.
Article in English | WPRIM | ID: wpr-226319

ABSTRACT

BACKGROUND: We compared health behaviors, including current smoking, alcohol drinking, regular exercise, obesity, and abdominal obesity, among Korean cancer survivors with and without family history of cancer. METHODS: This study included 5,247 cancer survivors with family history of cancer (1,894 with and 3,353 without), who were recruited from the Health Examinee cohort. Health behaviors were identified using questionnaire. Adjusted ORs (aORs) between health behaviors and family history of cancer were estimated by multivariate logistic regression analysis adjusted for sociodemographic factors. All analyses were conducted separately according to sex. RESULTS: Prevalence of current smoking, alcohol drinking, no regular exercise, obesity, and abdominal obesity was 16.3%, 48.3%, 36.0%, 31.3%, and 42.3% in male cancer survivors and 1.7%, 20.6%, 43.8%, 28.5%, and 72.5% in female, respectively. Health behaviors in male cancer survivors with and without family history of cancer were not significantly different after being adjusted for other covariates (aOR = 1.04, 95% CI = 0.75–1.44 for current smoking; aOR = 0.96, 95% CI = 0.76–1.22 for current drinking; aOR = 0.85, 95% CI = 0.66–1.10 for regular exercise; aOR = 0.96, 95% CI = 0.73–1.25 for obesity; aOR = 0.97, 95% CI = 0.75–1.25 for abdominal obesity). In female cancer survivors, there were no significant differences in health behaviors according to family history of cancer (aOR = 0.76, 95% CI = 0.44–1.32; aOR = 1.11, 95% CI = 0.94–1.31; aOR = 0.99, 95% CI = 0.87–1.14; aOR = 0.99, 95% CI = 0.85–1.16; aOR = 0.93, 95% CI = 0.80–1.10, respectively). CONCLUSIONS: We identified no significant differences in health behaviors according to family history of cancer in cancer survivors. More studies should be conducted to identify correlations between family history of cancer and prognosis in cancer survivors.


Subject(s)
Female , Humans , Male , Alcohol Drinking , Cohort Studies , Drinking , Epidemiology , Genome , Health Behavior , Logistic Models , Obesity , Obesity, Abdominal , Prevalence , Prognosis , Smoke , Smoking , Survivors
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