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Table 2 Association of average DM across childhood (intercept) and increase of DM over time (slope) with metabolic syndrome score and its components in children and adolescents

From: Media use trajectories and risk of metabolic syndrome in European children and adolescents: the IDEFICS/I.Family cohort

Metabolic outcomes

DM use

  

Analysis populationa

 

Accelerometer –sample b

  

N

Crude β (95%CI)

N

Adjusted β (95%CI) a

N

Adjusted β (95% CI) b

Adjusted β (95% CI) c

z_WC d

Intercept

10,301

0.33 (0.28, 0.39)

10,153

0.15 (0.11, 0.19)

4258

0.19 (0.13, 0.26)

0.19 (0.12, 0.25)

Slope

 

-0.05 (-0.40, 0.29)

 

0.19 (-0.04, 0.43)

 

0.26 ( -0.10, 0.63)

0.26 (-0.10, 0.63)

z_BP e

Intercept

10,099

0.04 (0.01, 0.08)

9409

0.04 (0.00, 0.07)

4073

0.02 (-0.03, 0.08)

0.02 (-0.03, 0.07)

Slope

 

-0.05 (-0.27, 0.16)

 

0.09 (-0.10, 0.30)

 

0.18 (-0.13, 0.49)

0.16 (-0.14, 0.47)

z_TRG

Intercept

7398

0.11 (0.07, 0.15)

6193

0.08 (0.03, 0.12)

2683

0.06 (-0.01, 0.13)

0.06 (-0.01, 0.13)

Slope

 

0.17 (-0.08, 0.44)

 

0.02 (-0.24, 0.30)

 

0.01 (-0.40, 0.42)

0.00 (-0.41, 0.41)

z_HDL-c

Intercept

7766

-0.10 (-0.14, -0.06)

6506

-0.08 (-0.12, -0.04)

2857

-0.07 (-0.14, -0.002)

-0.07 (-0.14, -0.00)

Slope

 

-0.35 (-0.63, -0.06)

 

-0.28 (-0.54, -0.02)

 

-0.32 (-0.72, 0.07)

-0.33 (-0.73, 0.06)

z_HOMA

Intercept

6293

0.16 (0.11, 0.22)

3435

0.12 (0.05, 0.19)

1688

0.15 (0.05, 0.26)

0.15 (0.04, 0.25)

Slope

 

0.19 (-0.13, 0.51)

 

0.64 (0.21, 1.08)

 

0.58 (-0.01, 1.18)

0.59 (0.00, 1.19)

z_MetS

Intercept

5770

0.16 (0.11, 0.21)

2973

0.07 (0.02, 0.13)

1476

0.07 (-0.01, 0.15)

0.06 (-0.02, 0.14)

Slope

 

0.14 (-0.15, 0.44)

 

0.54 (0.20, 0.88)

 

0.51 ( 0.04, 0.97)

0.49 (0.02, 0.95)

  1. a Models are adjusted for age (continuous), sex, pubertal status, HDAS, snack consumption, parental ISCED, observation period, (age at follow-up – age at baseline), country and baseline z-scores of the respective outcome. Bold significance is provided via confidence limits
  2. b Models are based on the accelerometer sample and are adjusted for same confounders as in the main analysis. N varied due to missing values for each outcome
  3. c Models based on sample with accelerometer data are further adjusted for MVPA, SED and valid accelerometer wear time
  4. d WC- waist circumference, BP-blood pressure, TRG- triglycerides, HDL-c– high density lipoprotein cholesterol, HOMA- homeostasis model assessment for insulin resistance, MetS- metabolic syndrome, DM- digital media
  5. e Models for the z-scores of BP, HDL-c, TRG and HOMA-IR are additionally adjusted for z-score of WC at the last measurement point. The number of participants varied for metabolic outcomes due to missing values