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Media Use Trajectories and Risk of Metabolic Syndrome in European Children and Adolescents
- 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.
- Subjects :
- Male
Longitudinal study
Percentile
Physical Therapy
Metabolic disorders
Medicine (miscellaneous)
Screen-time
Adolescents
Pediatrics
Body Mass Index
Cohort Studies
Risk Factors
Medicine and Health Sciences
Child
Nutritional diseases. Deficiency diseases
Children
Digital media
Metabolic Syndrome
Nutrition and Dietetics
Pediatrik
Public Health, Global Health, Social Medicine and Epidemiology
Sedentary behavior
Physical activity
Diet quality
Cohort
Female
Waist Circumference
Public aspects of medicine
RA1-1270
Waist
RC620-627
Adolescent
Physical Therapy, Sports Therapy and Rehabilitation
Sports Therapy and Rehabilitation
Screen time
medicine
Humans
Risk factor
Internet
business.industry
Research
medicine.disease
Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi
Cross-Sectional Studies
Metabolic syndrome
business
Dyslipidemia
Demography
Subjects
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