Evidence map›Paper›PMID 38205821›Full record

ArticleInternational journal of epidemiology2024

A Bayesian functional approach to test models of life course epidemiology over continuous time.

Julien Bodelet, Cecilia Potente, Guillaume Blanc, Justin Chumbley, Hira Imeri, Scott Hofer, Kathleen Mullan Harris, Graciela Muniz-Terrera, Michael Shanahan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of epidemiology, 2024. 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. Review
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

9 authors.

Julien BodeletJacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland.
Cecilia PotenteJacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland.
Guillaume BlancJacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland.
Justin ChumbleyJacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland.
Hira ImeriJacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland.
Scott HoferInstitute On Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada.
Kathleen Mullan HarrisCarolina Population Center, University of North Carolina at Chapel Hill, Carolina Population Center, Chapel Hill, NC, USA.
Graciela Muniz-TerreraCenter for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Michael ShanahanJacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland.

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE · 1999 to 2026
$17.9M
Evaluation of Multivariate Causal Factors Linking the Flynn Effect to Declining Dementia Trends and Cognitive AgingR01AG067621 · NIA · PACIFIC HEALTH RESEARCH/ EDUCATION INST · PI HOFER, SCOTT M. · 2019 to 2023
$3.6M
Social Context, the Life Course, and Genetic Transcription in Add HealthR01HD087061 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 2016 to 2020
$3.0M
Social Regulation of Gene ExpressionR01AG033590 · NIA · UNIVERSITY OF CHICAGO · PI CACIOPPO, STEPHANIE · 2018 to 2019
$720k
NIA NIH HHS 1R01AG067621NIA NIH HHS P30 AG017265NIA NIH HHS R01 AG033590NIA NIH HHS R01 AG067621NICHD NIH HHS P01 HD031921NICHD NIH HHS R01 HD087061NIH HHS R01- HD087061Swiss National Science Foundation 10531C-197964
6 · The paper itself

Abstract

backgroundLife course epidemiology examines associations between repeated measures of risk and health outcomes across different phases of life. Empirical research, however, is often based on discrete-time models that assume that sporadic measurement occasions fully capture underlying long-term continuous processes of risk.

methodsWe propose (i) the functional relevant life course model (fRLM), which treats repeated, discrete measures of risk as unobserved continuous processes, and (ii) a testing procedure to assign probabilities that the data correspond to conceptual models of life course epidemiology (critical period, sensitive period and accumulation models). The performance of the fRLM is evaluated with simulations, and the approach is illustrated with empirical applications relating body mass index (BMI) to mRNA-seq signatures of chronic kidney disease, inflammation and breast cancer.

resultsSimulations reveal that fRLM identifies the correct life course model with three to five repeated assessments of risk and 400 subjects. The empirical examples reveal that chronic kidney disease reflects a critical period process and inflammation and breast cancer likely reflect sensitive period mechanisms.

conclusionsThe proposed fRLM treats repeated measures of risk as continuous processes and, under realistic data scenarios, the method provides accurate probabilities that the data correspond to commonly studied models of life course epidemiology. fRLM is implemented with publicly-available software.

Indexed as

Breast NeoplasmsRenal Insufficiency, ChronicBayes TheoremFemaleHumansInflammationLife Change EventsBayesian statisticsfunctional data analysisLife course models

Identifiers

PMID38205821
PMCPMC10859158

What OpenQuestion holds

Textmetadata
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.