Evidence map›Paper›PMID 38366065›Full record

ArticleEuropean child & adolescent psychiatry2024

Developmental origins of psycho-cardiometabolic multimorbidity in adolescence and their underlying pathways through methylation markers: a two-cohort study.

Priyanka Choudhary, Justiina Ronkainen, Jennie Carson, Ville Karhunen, Ashleigh Lin, Phillip E Melton, Marjo-Riitta Jarvelin, Jouko Miettunen, Rae-Chi Huang, Sylvain Sebert

Abstract read
In one paragraph

Article in European child & adolescent psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Priyanka ChoudharyResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland. Priyanka.Choudhary@oulu.fi.ORCID http://orcid.org/0000-0002-2420-4118
Justiina RonkainenResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
Jennie CarsonTelethon Kids Institute, Perth, Australia.
Ville KarhunenResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
Ashleigh LinTelethon Kids Institute, Perth, Australia.
Phillip E MeltonSchool of Population and Global Health, University of Western Australia, Perth, Australia.
Marjo-Riitta JarvelinDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Jouko MiettunenResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
Rae-Chi Huang *Telethon Kids Institute, Perth, Australia.
Sylvain Sebert *Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.

Funding

Horizon 2020 733206Horizon 2020 873749National Health and Medical Research Council 1059711National Health and Medical Research Council 114285National Health and Medical Research Council 2010063Research Council of Finland 326291
6 · The paper itself

Abstract

Understanding the biological mechanisms behind multimorbidity patterns in adolescence is important as they may act as intermediary risk factor for long-term health. We aimed to explore relationship between prenatal exposures and adolescent's psycho-cardiometabolic intermediary traits mediated through epigenetic biomarkers, using structural equation modeling (SEM). We used data from mother-child dyads from pregnancy and adolescents at 16-17 years from two prospective cohorts: Northern Finland Birth Cohort 1986 (NFBC1986) and Raine Study from Australia. Factor analysis was applied to generate two different latent factor structures: (a) prenatal exposures and (b) adolescence psycho-cardiometabolic intermediary traits. Furthermore, three types of epigenetic biomarkers were included: (1) DNA methylation score for maternal smoking during pregnancy (DNAmMSS), (2) DNAm age estimate PhenoAge and (3) DNAm estimate for telomere length (DNAmTL). Similar factor structure was observed between both cohorts yielding three prenatal factors, namely BMI (Body Mass Index), SOP (Socio-Obstetric-Profile), and Lifestyle, and four adolescent factors: Anthropometric, Insulin-Triglycerides, Blood Pressure, and Mental health. In the SEM pathways, stronger direct effects of F1

Indexed as

DNA MethylationMultimorbidityPrenatal Exposure Delayed EffectsAdolescentAustraliaBiomarkersCohort StudiesEpigenesis, GeneticFemaleFinlandHumansMalePregnancyProspective StudiesBiomarkersAdolescentsDNA methylation ageEpigeneticsMultimorbidityPsycho-cardiometabolic

Identifiers

PMID38366065
PMCPMC11424745

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.