ArticlePloS one2016
Early Life Factors and Inter-Country Heterogeneity in BMI Growth Trajectories of European Children: The IDEFICS Study.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 23 citations in OpenAlex.
- Media use trajectories and risk of metabolic syndrome in European children and adolescents: the IDEFICS/I.Family cohort.The international journal of behavioral nutrition and physical activity · 2021Article
- Intake of Fibre-Associated Foods and Texture Preferences in Relation to Weight Status Among 9-12 Years Old Children in 6 European Countries.Frontiers in nutrition · 2021Article
- The role of lifestyle and non-modifiable risk factors in the development of metabolic disturbances from childhood to adolescence.International journal of obesity (2005) · 2020Article
- A 9-year longitudinal study on trajectories of aggressive and depressive symptoms in male and female children with overweight.BMC research notes · 2019Article
- A New Model for Evaluation of Interventions to Prevent Obesity in Early Childhood.Frontiers in endocrinology · 2019Article
- Relationship Between Maternal Pre-pregnancy Weight and Offspring Weight Strengthens as Children Develop: A Population-Based Retrospective Cohort Study.Journal of epidemiology · 2018Article
- Socioeconomic differences in childhood BMI trajectories in Belarus.International journal of obesity (2005) · 2018Article
- Article
- Potential selection effects when estimating associations between the infancy peak or adiposity rebound and later body mass index in children.International journal of obesity (2005) · 2017Article
- BMI Development and Early Adolescent Psychosocial Well-Being: UK Millennium Cohort Study.Pediatrics · 2016Article
- Isometric muscle strength in children and adolescents using Handheld dynamometry: reliability and normative data for the Brazilian population.Brazilian journal of physical therapyArticle
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Authors and funding
17 authors at 10 institutions in 7 countries.
Funding
Abstract
backgroundStarting from birth, this explorative study aimed to investigate between-country differences in body mass index (BMI) trajectories and whether early life factors explain these differences.
methodsThe sample included 7,644 children from seven European countries (Belgium, Cyprus, Germany, Hungary, Italy, Spain, Sweden) participating in the multi-centre IDEFICS study. Information on early life factors and in total 53,409 repeated measurements of height and weight from 0 to <12 years of age were collected during the baseline (2007/2008) and follow-up examination (2009/2010) supplemented by records of routine child health visits. Country-specific BMI growth curves were estimated using fractional polynomial mixed effects models. Several covariates focussing on early life factors were added to the models to investigate their role in the between-countries differences.
resultsLarge between-country differences were observed with Italian children showing significantly higher mean BMI values at all ages ≥ 3 years compared to the other countries. For instance, at age 11 years mean BMI values in Italian boys and girls were 22.3 [21.9;22.8; 99% confidence interval] and 22.0 [21.5;22.4], respectively, compared to a range of 18.4 [18.1;18.8] to 20.3 [19.8;20.7] in boys and 18.2 [17.8;18.6] to 20.3 [19.8;20.7] in girls in the other countries. After adjustment for early life factors, differences between country-specific BMI curves became smaller. Maternal BMI was the factor being most strongly associated with BMI growth (p<0.01 in all countries) with associations increasing during childhood. Gestational weight gain (GWG) was weakly associated with BMI at birth in all countries. In some countries, positive associations between BMI growth and children not being breastfed, mothers' smoking during pregnancy and low educational level of parents were found.
conclusionEarly life factors seem to explain only some of the inter-country variation in growth. Maternal BMI showed the strongest association with children's BMI growth.
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