Mediators of the association between childhood BMI and educational attainment: analysis of a UK prospective cohort study
Bowman, K.; Cadman, T.; Robinson, O.; Hughes, A.; Heron, J.; Segal, A. B.; Huerta, M. C.; Howe, L. D.
Show abstract
BackgroundHigher BMI in childhood is associated with lower academic achievement. ObjectiveTo explore potential pathways linking childhood BMI with educational attainment. MethodsIn the Avon Longitudinal Study of Parents and Children prospective cohort study (N=6234), we used structural equation models to assess the association between BMI z-scores at 11.7 years and educational attainment at 16 (General Certificate of Secondary Education (GCSE) results). Depressive symptoms, externalising symptoms, bullying, pressure to lose weight, and school enjoyment were considered as potential mediators. ResultsHigher BMI z-scores were associated with lower GCSE scores (total effect: females {beta} = -3.20 95% CI -5.15, -1.26; males {beta} = -2.98 95% CI -5.12, -0.84). Depressive symptoms and externalising symptoms partially mediated this association in females (indirect effect: {beta} = -0.35 95% CI -0.63, -0.06, proportion mediated = 11%; {beta} = -0.84 95% CI -1.77, 0.10, proportion mediated = 26%, respectively). In males, there was some evidence that the association was partially mediated by bullying (indirect effect {beta} = -0.35 95% CI -0.74, 0.03, proportion mediated = 12%). ConclusionsThe association between childhood BMI and educational attainment may be partially mediated by depressive symptoms and externalising symptoms in females, and by bullying in males.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Timing of parental depression on risk of child depression and poor educational outcomes: a population based routine data cohort study from Born in Wales, UK 93%
- Latent Classes of Anthropometric Growth in Early Childhood Using Uni- and Multivariate approaches in a South African Birth Cohort. 93%
- Impact of Childhood Household Support on Depression and Self-Reported Mental and Physical Health 92%
Similar papers in this journal
- Associations of socioeconomic position and adverse childhood experiences with health-related behaviour changes and changes to employment during the first COVID-19 lockdown in the UK 93%
- Age at separation, residential mobility, and depressive symptoms among twins in late adolescence and young adulthood: a FinnTwin12 cohort study 93%
- Prevalence and early-life determinants of mid-life multimorbidity: evidence from the 1970 British birth cohort 93%
Similar papers in this journal
- Establishing the causal role of intimate partner violence and abuse on depressive symptoms in young adults: a population-based cohort study 95%
- Establishing the relationships between adiposity and reproductive factors: a multivariable Mendelian randomization analysis 94%
- Parental Income Gradients in Adult Health: A National Cohort Study 93%
Similar papers in this journal
- Father absence and trajectories of offspring mental health across adolescence and young adulthood: findings from a UK-birth cohort 94%
- Adherence to the Mediterranean Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay (MIND) Diet and Trajectories of Depressive Symptomatology in Youth 94%
- The relationship between maternal psychopathology and offspring incontinence and constipation at school age: a prospective cohort study 94%
Similar papers in this journal
- Adverse childhood experiences: associations with educational attainment and adolescent health, and the role of family and socioeconomic factors. Analysis of a prospective cohort study. 95%
- The Association Between Cognitive Ability and Body Mass Index: A Sibling-Comparison Analysis in Four Longitudinal Studies 93%
- Risk of common psychiatric disorders, suicidal behaviours and premature mortality following violent victimisation: A matched cohort and sibling-comparison study of 127,628 people who experienced violence in Finland and Sweden 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.