PURPOSE: The main purpose of this study was to compare the relationships between physical activity (measured using an accelerometer vs. self-reported) and cardiovascular disease risk factors. Differences in accelerometry physical activity between 10-minute bouts and total bouts were also compared.METHODS: Data originated from the Korea National Health and Nutrition Examination Survey. Logistic regression was used to predict cardiovascular disease risk from physical activity levels.RESULTS: Self-reported physical activity could not significantly predict the odds of having cardiovascular risk. However, the insufficiently active group classified according to the total-bout physical activity had significantly greater odds of having hypertension or prehypertension (odds ratio [OR], 1.35; 95% confidence interval [95% CI], 1.00–1.82), diabetes mellitus (OR, 1.77; 95% CI, 1.01–3.19), and dyslipidemia (OR, 1.65; 95% CI, 1.17–2.36) than the highly active group. Regarding the 10-minute bout physical activity, the inactive group had significantly greater odds of having only hypertension or prehypertension (OR, 1.67; 95% CI, 1.02–2.76) than the highly active group.CONCLUSION: Total-bout physical activity measured using an accelerometer could significantly predict the cardiovascular disease risk compared to 10-minute bout physical activity. However, self-reported physical activity could not significantly predict the cardiovascular disease risk.
Accelerometry ; Cardiovascular Diseases ; Diabetes Mellitus ; Dyslipidemias ; Hypertension ; Korea ; Logistic Models ; Motor Activity ; Nutrition Surveys ; Prehypertension ; Risk Assessment ; Risk Factors ; Self Report

Purpose: The purpose of this study was to examine the relationship between sedentary behavior measured by accelerometer and cardiovascular disease risk factors from Korea National Health and Nutrition Examination Survey 2014–2015. Methods: The participants included in this study volunteered to wear accelerometer (n=1,407). Ordinal logistic regression was used to examine the relationship between sedentary time or sedentary breaks and cardiovascular disease risk factors. Odds ratios and 95% confidence intervals were calculated for the relationship. Covariates were sex, age, educational status, alcohol, smoking, socioeconomic status, body mass index, calorie intake, physical activity, and accelerometer wear time. Results: The group with the most sedentary time had significantly greater odds of having dyslipidemia (odds ratio, 2.47; 95% confidence interval, 1.54–3.94) compared to the least. There were no other significant relationships between sedentary behavior (sedentary time, sedentary break) and risk factors. Conclusion The only significant relationship found in this study was that between sedentary time and dyslipidemia.