ArticleEpidemiology (Cambridge, Mass.)2015
Model Selection of the Effect of Binary Exposures over the Life Course.
Article in Epidemiology (Cambridge, Mass.), 2015. 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 44 papers.
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.
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.
Who cites it
44 citing papers in PubMed, 67 citations in OpenAlex.
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- Association of duration and timing of household dysfunction with aggression: A Taiwan birth cohort study.European child & adolescent psychiatry · 2026Article
- Childhood adversity and adolescent mental health: Examining cumulative and specificity effects across contexts and developmental timing.Development and psychopathology · 2025Article
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- The relationship between type, timing and duration of exposure to adverse childhood experiences and adolescent self-harm and depression: findings from three UK prospective population-based cohorts.Journal of child psychology and psychiatry, and allied disciplines · 2024Article
- Depressive symptoms in adolescence and adult educational and employment outcomes: a structured life course analysis.Psychological medicine · 2024Article
- Life-course influences of poverty on violence and homicide: 30-year Brazilian birth cohort study.International journal of epidemiology · 2024Article
- A Bayesian functional approach to test models of life course epidemiology over continuous time.International journal of epidemiology · 2024Article
- Individual-level changes in religious/spiritual beliefs and behaviors over three decades in the parental generation of the ALSPAC cohort, UK.Religion, brain & behavior · 2023Article
- Testing lifecourse theories characterising associations between maternal depression and offspring depression in emerging adulthood: the Avon Longitudinal Study of Parents and Children.Journal of child psychology and psychiatry, and allied disciplines · 2023Article
- Association between the timing of childhood adversity and epigenetic patterns across childhood and adolescence: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort.The Lancet. Child & adolescent health · 2023Article
- Sensitive Periods for the Effect of Childhood Adversity on DNA Methylation: Updated Results From a Prospective, Longitudinal Study.Biological psychiatry global open science · 2023Article
- Alteration of oral microbiome composition in children living with pesticide-exposed farm workers.International journal of hygiene and environmental health · 2023Article
- Socioeconomic changes predict genome-wide DNA methylation in childhood.Human molecular genetics · 2023Article
- Incorporating interactions into structured life course modelling approaches: A simulation study and applied example of the role of access to green space and socioeconomic position on cardiometabolic health.medRxiv : the preprint server for health sciences · 2023Article
- An integrative approach for the analysis of risk and health across the life course: challenges, innovations, and opportunities for life course research.Discover social science and health · 2023Review
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Epidemiologists are often interested in examining the effect on a later-life outcome of an exposure measured repeatedly over the life course. When different hypotheses for this effect are proposed by competing theories, it is important to identify those most supported by observed data as a first step toward estimating causal associations. One method is to compare goodness-of-fit of hypothesized models with a saturated model, but it is unclear how to judge the "best" out of two hypothesized models that both pass criteria for a good fit. We developed a new method using the least absolute shrinkage and selection operator to identify which of a small set of hypothesized models explains most of the observed outcome variation. We analyzed a cohort study with repeated measures of socioeconomic position (exposure) through childhood, early- and mid-adulthood, and body mass index (outcome) measured in mid-adulthood. We confirmed previous findings regarding support or lack of support for the following hypotheses: accumulation (number of times exposed), three critical periods (only exposure in childhood, early- or mid-adulthood), and social mobility (transition from low to high socioeconomic position). Simulations showed that our least absolute shrinkage and selection operator approach identified the most suitable hypothesized model with high probability in moderately sized samples, but with lower probability for hypotheses involving change in exposure or highly correlated exposures. Identifying a single, simple hypothesis that represents the specified knowledge of the life course association allows more precise definition of the causal effect of interest.
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What OpenQuestion holds
Registered trials
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.