Evidence map›Paper›PMID 41254636›Full record

ArticleBMC medicine2025

Modelling the joint impact of early-life interventions on adult health: an illustrative example of multiple long-term conditions with role limitations in midlife using the 1970 British Cohort Study (BCS70).

Sebastian Stannard, Ann Berrington, Nida Ziauddeen, Simon D S Fraser, Shantini Paranjothy, Rhiannon K Owen, Nisreen A Alwan

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Article in BMC medicine, 2025. 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
–field-weighted citation impact
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.

  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.

Sebastian StannardSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK. S.J.Stannard@soton.ac.uk.ORCID http://orcid.org/0000-0002-6139-1020
Ann BerringtonSchool of Economic, Social and Political Sciences, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-1683-6668
Nida ZiauddeenSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-8964-5029
Simon D S FraserSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-4172-4406
Shantini ParanjothySchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Rhiannon K OwenPopulation Data Science, Faculty of Medicine, Health & Life Science, Swansea University Medical School, Swansea University, Swansea, UK.ORCID http://orcid.org/0000-0001-5977-376X
Nisreen A AlwanSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK. N.A.Alwan@soton.ac.uk.ORCID http://orcid.org/0000-0002-4134-8463

Funding

National Institute for Health and Care Research NIHR203988
6 · The paper itself

Abstract

backgroundEvidence on how policy interventions early in childhood can prevent or delay multiple long-term conditions (MLTCs) is limited. We modelled prevention scenarios using five early-life domains on the outcome of MLTCs with role-limitation using effectiveness data of combined real-life early interventions.

methodsOur study sample was 6201 participants in the 1970 British Cohort Study. The outcome was MLTCs with role-limitation (i.e. impacting everyday life functioning) as reported by participants at age 46. We constructed adversity scores within early-life domains (from prenatal to age 10) including prenatal to birth, developmental attributes, education, socioeconomic factors and family environment and used adjusted multivariable logistic regression to examine their relationship with the outcome. We generated adjusted population attribution fractions to estimate the reduction in outcome risk if cohort members reduced their adversity scores. Using effect estimates on early-life exposures from evaluations of real-life interventions including Family Hubs, the Family Nurse Partnership and the teenage pregnancy prevention framework, we calculated the absolute reduction in the outcome risk had cohort members been exposed to all three interventions.

resultsReducing early life adversity scores from 3 + to 1, from 3 + to 0, from 2 to 0 in the developmental attributes domain and from 3 + to 2, from 3 + to 0, from 1 to 0 in the prenatal to birth domain, lowered the outcome risk. For the developmental attributes domain, the combined effect of the interventions could result in a 0.5% reduction in MLTCs with role limitations for those with a domain adversity score of 3 +. For the prenatal-birth domain, the combined effect of the interventions could result in a 11.5% and 2.5% reduction in MLTCs with role limitations for those with a domain adversity score of 3 + and 1, respectively.

conclusionsInterventions during pregnancy, the postnatal period and childhood may reduce MLTC risk in midlife.

Indexed as

Early Medical InterventionAdultChildCohort StudiesFemaleHumansMaleMiddle AgedPregnancySocioeconomic FactorsUnited KingdomChildhoodEarly lifeInterventionLong-term conditionsMultimorbidityPrevention

Identifiers

PMID41254636
PMCPMC12625343

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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.