Evidence map›Paper›PMID 34631133›Full record

ArticleObesity science & practice2021

Modeling the impact of calorie-reduction interventions on population prevalence and inequalities in childhood obesity in the Southampton Women's Survey.

Simon J Russell, Steven Hope, Helen Croker, Sarah Crozier, Jessica Packer, Hazel Inskip, Russell M Viner

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity science & practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Simon J RussellObesity Policy Research Unit Population, Policy and Practice Great Ormond Street Institute of Child Health University College London London UK.ORCID https://orcid.org/0000-0001-9447-1169
Steven HopeObesity Policy Research Unit Population, Policy and Practice Great Ormond Street Institute of Child Health University College London London UK.
Helen CrokerObesity Policy Research Unit Population, Policy and Practice Great Ormond Street Institute of Child Health University College London London UK.
Sarah CrozierMRC Lifecourse Epidemiology Unit Medicine University of Southampton Southampton UK.
Jessica PackerObesity Policy Research Unit Population, Policy and Practice Great Ormond Street Institute of Child Health University College London London UK.
Hazel InskipMRC Lifecourse Epidemiology Unit Medicine University of Southampton Southampton UK.
Russell M VinerObesity Policy Research Unit Population, Policy and Practice Great Ormond Street Institute of Child Health University College London London UK.
Great Ormond Street Hospital · GBNIHR Southampton Biomedical Research Centre · GBUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

backgroundIn the United Kingdom, rates of childhood obesity are high and inequalities in obesity have widened in recent years. Children with obesity face heightened risks of living with obesity as adults and suffering from associated morbidities. Addressing population prevalence and inequalities in childhood obesity is a key priority for public health policymakers in the United Kingdom and elsewhere. Where randomized controlled trials are not possible, potential policy actions can be simulated using causal modeling techniques.

objectivesUsing data from the Southampton Women's Survey (SWS), a cohort with high quality dietary and lifestyle data, the potential impact of policy-relevant calorie-reduction interventions on population prevalence and inequalities of childhood obesity was investigated.

methodsPredicted probabilities of obesity (using UK90 cut-offs) at age 6-7 years were estimated from logistic marginal structural models adjusting for observed calorie consumption at age 3 years (using food diaries) and confounding. A series of policy-relevant intervention scenarios were modeled to simulate reductions in energy intake (differing in effectiveness, the targeting mechanisms, and level of uptake).

resultsAt age 6-7 years, 8.3% of children were living with obesity, after accounting for observed energy intake and confounding. A universal intervention to lower median energy intake to the estimated average requirement (a 13% decrease), with an uptake of 75%, reduced obesity prevalence by 1% but relative and absolute inequalities remained broadly unchanged.

conclusionsSimulated interventions substantially reduced population prevalence of obesity, which may be useful in informing policymakers.

Indexed as

causal modelingchild and adolescent healthdietary interventionshealth inequalitiesobesitySouthampton Women's Survey

Identifiers

PMID34631133
PMCPMC8488449
OpenAlexW3162859191

What OpenQuestion holds

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LicenceCC BY
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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.