Evidence map›Paper›PMID 27371628›Full record

ArticleInternational journal of epidemiology2016

A structured approach to hypotheses involving continuous exposures over the life course.

Andrew Dac Smith, Rebecca Hardy, Jon Heron, Carol J Joinson, Debbie A Lawlor, Corrie Macdonald-Wallis, Kate Tilling

Abstract read
In one paragraph

Article in International journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  3. Depressive symptom instability predicts incident mild cognitive impairment and dementia in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  15. Association of body mass index from childhood to mid-adulthood with health-related quality of life in mid-adulthood.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  16. Article
  17. Article
  18. Article
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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

7 authors.

Andrew Dac SmithSchool of Social and Community Medicine Andrew.D.Smith@bristol.ac.uk.
Rebecca HardyMRC Unit for Lifelong Health and Ageing, University College London, London, UK.
Jon HeronSchool of Social and Community Medicine.
Carol J JoinsonSchool of Social and Community Medicine.
Debbie A LawlorSchool of Social and Community Medicine.
Corrie Macdonald-WallisSchool of Social and Community Medicine.
Kate TillingSchool of Social and Community Medicine.

Funding

Department of Health NF-SI-0611-10196Medical Research Council G1000726Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/5Medical Research Council MC_UU_12013/9Medical Research Council MC_UU_12019/1Medical Research Council MC_UU_12019/2Medical Research Council MR/J011932/1Wellcome Trust 102215
6 · The paper itself

Abstract

backgroundEpidemiologists are often interested in examining different hypotheses for how exposures measured repeatedly over the life course relate to later-life outcomes. A structured approach for selecting the hypotheses most supported by theory and observed data has been developed for binary exposures. The aim of this paper is to extend this to include continuous exposures and allow for confounding and missing data.

methodsWe studied two examples, the association between: (i) maternal weight during pregnancy and birthweight; and (ii) stressful family events throughout childhood and depression in adolescence. In each example we considered several plausible hypotheses including accumulation, critical periods, sensitive periods, change and effect modification. We used least angle regression to select the hypothesis that explained the most variation in the outcome, demonstrating appropriate methods for adjusting for confounders and dealing with missing data.

resultsThe structured approach identified a combination of sensitive periods: pre-pregnancy weight, and gestational weight gain 0-20 weeks and 20-40 weeks, as the best explanation for variation in birthweight after adjusting for maternal height. A sensitive period hypothesis best explained variation in adolescent depression, with the association strengthening with the proximity of stressful family events. For each example, these models have theoretical support at least as strong as any competing hypothesis.

conclusionsWe have extended the structured approach to incorporate continuous exposures, confounding and missing data. This approach can be used in either an exploratory or a confirmatory setting. The interpretation, plausibility and consistency with causal assumptions should all be considered when proposing and choosing life course hypotheses.

Indexed as

Confounding Factors, EpidemiologicLife Change EventsStress, PsychologicalAdolescentAdolescent DevelopmentAdultBirth WeightBody WeightCausalityData Interpretation, StatisticalDepressionFamilyFemaleHumansPregnancyRegression AnalysisALSPACleast angle regression (LARS)Life coursestructured approach

Identifiers

PMID27371628
PMCPMC5841633

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.