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Media Use Trajectories and Risk of Metabolic Syndrome in European Children and Adolescents

Authors :
Christoph Buck
Luis A. Moreno
Toomas Veidebaum
Gabriele Eiben
Hermann Pohlabeln
Wolfgang Ahrens
Valeria Pala
Antje Hebestreit
Lauren Lissner
Dénes Molnár
Stefaan De Henauw
Yiannis Kourides
Alfonso Siani
Elida Sina
Lucia A. Reisch
Source :
International Journal of Behavioral Nutrition and Physical Activity, Vol 18, Iss 1, Pp 1-14 (2021), The International Journal of Behavioral Nutrition and Physical Activity, The international journal of behavioural nutrition and physical activity (Online) 18 (2021). doi:10.1186/s12966-021-01186-9, info:cnr-pdr/source/autori:Sina E.; Buck C.; Veidebaum T.; Siani A.; Reisch L.; Pohlabeln H.; Pala V.; Moreno L.A.; Molnar D.; Lissner L.; Kourides Y.; De Henauw S.; Eiben G.; Ahrens W.; Hebestreit A./titolo:Media use trajectories and risk of metabolic syndrome in European children and adolescents: the IDEFICS%2FI.Family cohort/doi:10.1186%2Fs12966-021-01186-9/rivista:The international journal of behavioural nutrition and physical activity (Online)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:18, INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, International journal of behavioral nutrition and physical activity, 18:134
Publication Year :
2021
Publisher :
BioMed Central, 2021.

Abstract

BackgroundMedia use may influence metabolic syndrome (MetS) in children. Yet, longitudinal studies are scarce. This study aims to evaluate the longitudinal association of childhood digital media (DM) use trajectories with MetS and its components.MethodsChildren from Belgium, Cyprus, Estonia, Germany, Hungary, Italy, Spain and Sweden participating in the IDEFICS/I.Family cohort were examined at baseline (W1: 2007/2008) and then followed-up at two examination waves (W2: 2009/2010 and W3: 2013/2014). DM use (hours/day) was calculated as sum of television viewing, computer/game console and internet use. MetS z-score was calculated as sum of age- and sex-specific z-scores of four components: waist circumference, blood pressure, dyslipidemia (mean of triglycerides and HDL-cholesterol−1) and homeostasis model assessment for insulin resistance (HOMA-IR). Unfavorable monitoring levels of MetS and its components were identified (cut-off: ≥ 90th percentile of each score). Children aged 2–16 years with ≥ 2 observations (W1/W2; W1/W3; W2/W3; W1/W2/W3) were eligible for the analysis. A two-step procedure was conducted: first, individual age-dependent DM trajectories were calculated using linear mixed regressions based on random intercept (hours/day) and linear slopes (hours/day/year) and used as exposure measures in association with MetS at a second step. Trajectories were further dichotomized if children increased their DM duration over time above or below the mean.Results10,359 children and adolescents (20,075 total observations, 50.3% females, mean age = 7.9, SD = 2.7) were included. DM exposure increased as children grew older (from 2.2 h/day at 2 years to 4.2 h/day at 16 years). Estonian children showed the steepest DM increase; Spanish children the lowest. The prevalence of MetS at last follow-up was 5.5%. Increasing media use trajectories were positively associated with z-scores of MetS (slope: β = 0.54, 95%CI = 0.20–0.88; intercept: β = 0.07, 95%CI = 0.02–0.13), and its components after adjustment for puberty, diet and other confounders. Children with increasing DM trajectories above mean had a 30% higher risk of developing MetS (slope: OR = 1.30, 95%CI = 1.04–1.62). Boys developed steeper DM use trajectories and higher risk for MetS compared to girls.ConclusionsDigital media use appears to be a risk factor for the development of MetS in children and adolescents. These results are of utmost importance for pediatricians and the development of health policies to prevent cardio-metabolic disorders later in life.

Details

Language :
English
ISSN :
14795868
Volume :
18
Issue :
1
Database :
OpenAIRE
Journal :
International Journal of Behavioral Nutrition and Physical Activity
Accession number :
edsair.doi.dedup.....3cbcf7b7c6dbc684ac371413a72af877
Full Text :
https://doi.org/10.1186/s12966-021-01186-9