ArticleInternational journal of obesity (2005)2020
Socioeconomic inequalities in childhood-to-adulthood BMI tracking in three British birth cohorts.
Article in International journal of obesity (2005), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.
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17 citing papers in PubMed.
- Six decades of trends in BMI, thinness, overweight, and obesity among 210,927 Swedish children in different socioeconomic contexts.BMC public health · 2026Article
- Genetic risk for high body mass index before and amidst the obesity epidemic: Cross-cohort analysis of four british birth cohort studies.PLoS genetics · 2026Article
- Multifactorial determinants of health status: insights from the MEDIET4ALL large-scale survey on eco-sociodemographic, psychological, and lifestyle (diet, physical activity, and sleep) factors.Frontiers in public health · 2026Article
- From lunch breaks to late nights: a qualitative study of how workplaces can support healthy diet, physical activity and sleep behaviours in young adults.BMC public health · 2025Article
- Association Between Parental Social Position and Childhood Overweight: Mediation by Lifestyle and BMI Patterns During Pregnancy.Pediatric obesity · 2025Article
- Birth-to-childhood tracking of linear growth and weight gain in the MINA-Brazil Study.Revista de saude publica · 2024Article
- Early-life socioeconomic circumstances and the comorbidity of depression and overweight in adolescence and young adulthood: A prospective study.SSM - population health · 2023Article
- Tracking between cardiovascular-related measures at 4 and 8 years of age in the INMA-Asturias cohort.European journal of pediatrics · 2023Article
- The association between cognitive ability and body mass index: A sibling-comparison analysis in four longitudinal studies.PLoS medicine · 2023Article
- Obesity in early adulthood and physical functioning in mid-life: Investigating the mediating role of c-reactive protein.Brain, behavior, and immunity · 2022Article
- Mediators of differences by parental education in weight-related outcomes in childhood and adolescence in Norway.Scientific reports · 2022Article
- Health Economic Aspects of Childhood Excess Weight: A Structured Review.Children (Basel, Switzerland) · 2022Review
- Inequalities in body mass index, diet and physical activity in the UK: Longitudinal evidence across childhood and adolescence.SSM - population health · 2021Article
- Higher adiposity and mental health: causal inference using Mendelian randomization.Human molecular genetics · 2021Article
- Intergenerational social mobility and body mass index trajectories - A follow-up study from Finland.SSM - population health · 2021Article
- A cross-sectional study of the impact of school neighbourhood on children obesity and body composition.European journal of pediatrics · 2021Article
- Family Income Gradients in Adolescent Obesity, Overweight and Adiposity Persist in Extremely Deprived and Extremely Affluent Neighbourhoods but Not in Middle-Class Neighbourhoods: Evidence from the UK Millennium Cohort Study.International journal of environmental research and public health · 2020Article
Corrections and comments
- Erratum issued
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4 authors.
Funding
Abstract
backgroundBody mass index (BMI) tracks from childhood-to-adulthood, but the extent to which this relationship varies across the distribution and according to socio-economic position (SEP) is unknown. We aimed to address this using data from three British cohort studies.
methodsWe used data from: 1946 National Survey of Health and Development (NSHD, n = 2470); 1958 National Child Development Study (NCDS, n = 7747); 1970 British Cohort Study (BCS, n = 5323). BMI tracking between 11 and 42 years was estimated using quantile regression, with estimates reflecting correlation coefficients. SEP disparities in tracking were investigated using a derived SEP variable based on parental education reported in childhood. This SEP variable was then interacted with the 11-year BMI z-score.
resultsIn each cohort and sex, tracking was stronger at the upper end of the distribution of BMI at 42 years. For example, for men in the 1946 NSHD, the tracking estimate at the 10th quantile was 0.31 (0.20, 0.41), increasing to 0.71 (0.61, 0.82) at the 90th quantile. We observed no strong evidence of SEP inequalities in tracking in men in the 1946 and 1958 cohorts. In the 1970 cohort, however, we observed tentative evidence of stronger tracking in low SEP groups, particularly in women and at the higher end of the BMI distribution. For example, women in the 1970 cohort from low SEP backgrounds had tracking coefficients at the 50th, 70th, and 90th quantiles, which were 0.05 (-0.04; 0.15), 0.19 (0.06; 0.31), and 0.22 (0.02; 0.43) units higher, respectively, than children from high SEP groups.
conclusionTracking was consistently stronger at the higher quantiles of the BMI distribution. We observed suggestive evidence for a pattern of greater BMI tracking in lower (compared to higher) SEP groups in the more recently born cohort, particularly in women and at the higher end of the BMI distribution.
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