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.

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 main purpose of this study was to examine the relationship between sedentary time and metabolic syndrome. Association of accelerometer and self-reported sedentary time on metabolic syndrome were also compared. Methods: A total of 1,354 adults (men, 492; women, 862), aged 19 to 65 years, who wore the accelerometer from the Korea National Health and Nutrition Examination Survey were included in the analysis. Four subgroups were created based on quartiles of daily sedentary time for analytical purposes. Metabolic syndrome was defined according to the International Diabetes Federation. Logistic regression was used to predict the odds ratio (OR), and 95% confidence interval (CI) of the relationship between sedentary time and metabolic syndrome after adjusting for sex, age, education level, family income, smoking, alcohol consumption, body mass index, and accelerometer wear time. Results: Accelerometer measured sedentary time displayed stronger associations with the metabolic syndrome than did self-reported sedentary time. When controlling for covariates, participants in the fourth quartile of the accelerometer measured sedentary time predicted the highest odds of having metabolic syndrome (OR, 1.99; 95% CI, 1.18– 3.34). However, participants in the second quartile only of self-reported sedentary time predicted the odds of having metabolic syndrome (OR, 1.60; 95% CI, 1.01– 2.52). Conclusion Sedentary time was related to metabolic syndrome. This relationship tended to be more consistent and stronger for accelerometer measured sedentary time than for self-report. Current results suggest that reducing daily sedentary time may help prevent metabolic syndrome.