Evidence map›Paper›PMID 33057662›Full record

ArticleInternational journal of epidemiology2021

Factors associated with participation over time in the Avon Longitudinal Study of Parents and Children: a study using linked education and primary care data.

Rosie P Cornish, John Macleod, Andy Boyd, Kate Tilling

Open access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 76 citations in OpenAlex.

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  6. Autistic traits and alcohol consumption through adolescence and young adulthood.medRxiv : the preprint server for health sciences · 2025
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  12. Linking digital footprint data into longitudinal population studies.International journal of population data science · 2025
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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

4 authors at 1 institution in 1 country.

Rosie P CornishPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
John MacleodPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Andy BoydPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Kate TillingPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
University of Bristol · GB

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00011/3Medical Research Council MR/L012081/1Wellcome TrustWellcome Trust WT086118/Z/08/Z
6 · The paper itself

Abstract

backgroundIn observational research, choosing an optimal analysis strategy when variables are incomplete requires an understanding of the factors associated with ongoing participation and non-response, but this cannot be fully examined with incomplete data. Linkage to external datasets provides additional information on those with incomplete data, allowing examination of factors related to missingness.

methodsWe examined the association between baseline sociodemographic factors and ongoing participation in the Avon Longitudinal Study of Parents and Children. We investigated whether child and adolescent outcomes measured in linked education and primary care data were associated with participation, after accounting for baseline factors. To demonstrate the potential for bias, we examined whether the association between maternal smoking and these outcomes differed in the subsample who completed the 19-year questionnaire.

resultsLower levels of school attainment, lower general practitioner (GP) consultation and prescription rates, higher body mass index (BMI), special educational needs (SEN) status, not having an asthma diagnosis, depression and being a smoker were associated with lower participation after adjustment for baseline factors. For example, the adjusted odds ratio (OR) for participation comparing ever smokers (by 18 years) with non-smokers was: 0.65, 95% CI (0.56, 0.75). The associations with maternal smoking differed between the subsample of participants at 19 years and the entire sample, although differences were small and confidence intervals overlapped. For example: for SEN status, OR = 1.19 (1.06, 1.33) (all participants); OR = 1.03 (0.79, 1.45) (subsample).

conclusionsA range of health-related and educational factors are associated with ongoing participation in ALSPAC; this is likely to be the case in other cohort studies. Researchers need to be aware of this when planning their analysis. Cohort studies can use linkage to routine data to explore predictors of ongoing participation and conduct sensitivity analyses to assess potential bias.

Indexed as

ParentsPrimary Health CareAdolescentChildCohort StudiesEducational StatusHumansLongitudinal StudiesALSPACdata linkagemissing datanon-responseparticipationselection bias

Identifiers

PMID33057662
PMCPMC7938505
OpenAlexW3080461926

What OpenQuestion holds

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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.