@entity410 , Sedentary Time, and XXXX .

@entity1 @entity410 @entity65
PURPOSE: Prolonged sedentary time (ST) is associated with cardiovascular risk factors (CV-RF) independent of physical activity (PA). Whether a high level of @entity410 ( @entity410 ) can modify the deleterious health consequences related to high ST is not known. METHODS: We performed a cross-sectional study of 12,274 @entity1 and 14,209 @entity1 (>= 20 yr) without known @entity65 . Self-reported ST measurements during a regular day were divided into three sex-specific equally sized groups ( <=4, 5 to <7, and >= 7 h  d). @entity410 was estimated (eCRF) using a previously validated nonexercise model. Using logistic regression analyses, adjusted odds ratios (OR) and 95% confidence intervals (CI) were estimated for the association of ST with CV-RF clustering and for the potential modifying effect of eCRF. RESULTS: Each hour increase in ST was associated with 5% and 4% greater likelihood of having CV-RF clustering independent of PA in @entity1 and @entity1 , respectively. Among the @entity1 with higher levels of eCRF, the adjusted OR values associated with >= 7 h  d of ST were 0.92 (0.56-1.51) for @entity1 and 1.16 (0.49-2.74) for @entity1 , compared with @entity1 and @entity1 with low ST ( <=4 h  d) and high eCRF levels. In combined analyses of eCRF, PA, and ST, compared with the reference group of @entity1 meeting the recommendations,  <=4 h  d of ST and high eCRF, the OR values were 0.63 (0.27-1.44) and 0.65 (0.14-3.07) in fit @entity1 and @entity1 with >= 7 h  d of ST, which did not meet the recommendations. @entity1 and @entity1 meeting the PA recommendations, but were unfit, had significantly increased odds of having CV-RF clustering across levels of ST. CONCLUSION: High levels of eCRF abolished the increased odds of having CV-RF clustering associated with high ST, even among those individuals who did not meet the current PA recommendations.
