Factors associated with sedentary behavior among community-dwelling breast cancer survivors aged 50 years or older

Although increased sedentary behavior is associated with poor health outcomes among breast cancer survivors, the factors associated with high sedentary time in community-dwelling breast cancer survivors are unknown. This study aimed to identify factors associated with sedentary behavior in Korean community-dwelling breast cancer survivors aged ≥ 50 years. We included 205 breast cancer survivors from the Korea National Health and Nutrition Examination Survey. Total daily sedentary time was evaluated using questions from the Korean version of the Global Physical Activity Questionnaire. We used complex-sample multivariable-adjusted logistic regression analyses to analyze the associations between sociodemographic factors, medical factors, and health-related quality of life and high sedentary time (≥ 420 min/day). Among the Korean community-dwelling breast cancer survivors, 48.2% had a high daily sedentary time. Insufficient aerobic exercise (OR 2.29; 95% CI 1.12–4.69), diabetes (OR 3.37; 95% CI 1.22–9.33), and unemployed status (OR 2.29; 95% CI 1.05–5.02) were independently associated with high sedentary time after the adjustment for multiple sociodemographic and medical confounders. Participants with a low sedentary time (< 420 min/day) showed a significantly higher mean European Quality of Life 5-Dimensions (EQ-5D) index than those with a high sedentary time after adjusting for multiple confounders (0.89 ± 0.03 vs. 0.82 ± 0.04; P = 0.001). Among the EQ-5D dimensions, problems in mobility (OR 3.37; 95% CI 1.42–7.98) and pain/discomfort (OR 2.64; 95% CI 1.24–5.63) dimensions showed positive associations with high sedentary time. Middle- or older-aged breast cancer survivors with insufficient aerobic exercise, diabetes, unemployed status, and impaired quality of life are more likely to have a high sedentary time. Reducing sedentary behavior in this population requires a tailored approach that considers diverse sociodemographic, medical, and quality-of-life factors.