Evidence map›Paper›PMID 38101872›Full record

Observational studyThe lancet. Psychiatry2024

Longitudinal pathways between childhood BMI, body dissatisfaction, and adolescent depression: an observational study using the UK Millenium Cohort Study.

Emma Blundell, Bianca L De Stavola, Madelaine Davies Kellock, Yvonne Kelly, Gemma Lewis, Anne McMunn, Dasha Nicholls, Praveetha Patalay, Francesca Solmi

Erratum issuedOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in The lancet. Psychiatry, 2024. 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 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
17.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Emma BlundellDepartment of Clinical, Educational and Health Psychology, University College London, London, UK.
Bianca L De StavolaInstitute of Child Health, University College London, London, UK.
Madelaine Davies KellockInstitute of Epidemiology & Health, University College London, London, UK.
Yvonne KellyInstitute of Epidemiology & Health, University College London, London, UK.
Gemma LewisDivision of Psychiatry, University College London, London, UK.
Anne McMunnInstitute of Epidemiology & Health, University College London, London, UK.
Dasha NichollsDivision of Psychiatry, Imperial College London, London, UK.
Praveetha PatalayCentre for Longitudinal Studies and MRC Unit for Lifelong Health & Ageing, University College London, London, UK.
Francesca SolmiDivision of Psychiatry, University College London, London, UK. Electronic address: francesca.solmi@ucl.ac.uk.
University College London · GBImperial College London · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundGlobally, more adolescents are having depressive symptoms than in the past. High BMI is a risk factor for depressive symptoms, potentially acting via increased body dissatisfaction. Robust longitudinal evidence of these associations could help to inform preventive interventions, but such evidence remains scarce. We investigated the longitudinal associations between BMI at age 7 years and depressive symptoms at age 14 years (objective 1), BMI at age 7 years and body dissatisfaction at age 11 years (objective 2), and body dissatisfaction at age 11 years and depression at age 14 years (objective 3). We also investigated the extent to which body dissatisfaction mediated the association between BMI and depressive symptoms (objective 4).

methodsThis study used data from the Millennium Cohort Study, a representative longitudinal general population cohort of UK children born between Sept 1, 2000, and Jan 11, 2002. We used univariable and multivariable linear regression models to investigate the associations in objectives 1-3 adjusting for a range of child-level and family-level confounders. For mediation analyses we used non-parametric g-formula (objective 4). We reported stratified results in presence of sex differences. All analyses were based on participants with complete BMI data and imputed confounders and outcomes.

findingsOur sample included 13 135 participants. Of these, 6624 (50·4%) were male participants and 6511 (49·6%) were female participants; 11 096 (84·4%) were of White ethnicity and 2039 (15·6%) were from a minority ethnic background. At baseline, mean age was 7·2 years (SD 0·25, range 6·3-8·3). In multivariable models, an SD increase in BMI at age 7 years was associated with greater depressive symptoms at age 14 years (estimated regression coefficient [coeff]: 0·30, 95% CI 0·17-0·43) and greater body dissatisfaction at age 11 years (coeff 0·15, 0·12-0·18). Greater body dissatisfaction at age 11 years was associated with higher depressive symptoms at age 14 years (coeff 0·60, 0·52-0·68). All these associations were twice as large in girls as in boys. Body dissatisfaction explained 43% of the association between BMI and depression in girls.

interpretationOur findings bear relevance for interventions aimed at reducing weight in childhood and reducing body dissatisfaction. Implementation of evidence-based body image interventions and identification of drivers of weight stigma should be key public health priorities. Interventions aiming to reduce weight in childhood need to avoid increasing body dissatisfaction and should target environmental drivers of weight rather than individuals.

fundingWellcome Trust; The Royal Society; Economic and Social Research Council; and the National Institute for Health and Care Research.

Indexed as

Body DissatisfactionAdolescentBody Mass IndexChildCohort StudiesDepressionFemaleHumansLongitudinal StudiesMaleUnited Kingdom

Identifiers

PMID38101872
PMCPMC11139652
OpenAlexW4389657692

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.