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Table 5 Associations between sedentary time, cardio-metabolic risk, and internalizing symptoms

From: Imputing accelerometer nonwear time in children influences estimates of sedentary time and its associations with cardiometabolic risk

 

Cardio-metabolic risk Z-score

Internalizing symptoms Z-score

 

Parameter estimate (95% CI) for sedentary time

p-value

Parameter estimate (95% CI) for sedentary time

p-value

Nonimputed dataset

0.092 (0.007, 0.178)

0.035

0.032 (−0.087, 0.151)

0.601

Imputed dataset Ia

0.137 (0.053, 0.221)

0.002

0.040 (−0.082, 0.162)

0.520

Imputed dataset IIb

0.136 (0.053, 0.220)

0.002

0.040 (−0.082, 0.162)

0.522

  1. Note: Parameter estimates indicate the change in cardio-metabolic risk or Internalizing symptoms Z-score for every 60-min increase in sedentary time. All models are adjusted for age, sex, maturity, season, race, family structure, parental education, household income, presence of a chronic health condition, fast food consumption, snacking frequency, and moderate-to-vigorous physical activity
  2. Abbreviations: CI confidence interval
  3. aImputation based on sociodemographic (age, sex, maturity, race, family structure, parental education and household income), health (cardio-metabolic risk Z-score derived from body mass index, resting heart rate, and systolic blood pressure; internalizing symptoms Z-score, and presence of a chronic health condition), behavioural (frequency of fast food consumption and snacking in front of a screen), and time (time of day, type of day, and season)
  4. bImputation based on variables used in imputed dataset I as well as screen time, homework time, the number of electronic devices in the home, and the presence of household media rules