Evidence map›Paper›PMID 38153259›Full record

ArticlePsychosomatic medicine

Increased Cardiometabolic Risk in Healthy Young Adults With Early Life Stress.

Meghan J Kulak, William Lewis-de Los Angeles, Teresa E Daniels, Karen J Mathis, Asi P Gobin, Laura E Laumann, Quincy Beck, Audrey R Tyrka

Open access · greenAbstract read
In one paragraph

Article in Psychosomatic medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Meghan J KulakFrom the Initiative on Stress, Trauma, and Resilience (STAR), Department of Psychiatry and Human Behavior (Kulak, Daniels, Mathis, Gobin, Laumann, Beck, Tyrka), Warren Alpert Medical School, Brown University; Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience (Kulak, Daniels, Gobin, Laumann, Beck, Tyrka), Butler Hospital; Department of Pediatrics (Lewis-de los Angeles), Hasbro Children's Hospital and Bradley Hospital; Warren Alpert Medical School (Lewis-de los Angeles), Brown University, Providence; University of Rhode Island College of Nursing (Mathis), Kingston, Rhode Island.ORCID 0000-0001-9857-6013
William Lewis-de Los Angeles
Teresa E Daniels
Karen J Mathis
Asi P Gobin
Laura E Laumann
Quincy Beck
Audrey R Tyrka
U.S. National Science Foundation · USProvidence College · USUniversity of Rhode Island · US

Funding

Project 3: Isolating food insecurity to understand childhood health outcomes and biological mechanisms of riskP20GM139767 · NIGMS · MIRIAM HOSPITAL · PI KayLoni L. Olson · 2021 to 2026
$14.6M
Promoting Research Training During Psychiatry ResidencyR25MH101076 · NIMH · BROWN UNIVERSITY · PI AUDREY TYRKA · 2013 to 2026
$2.8M
Risk Profiles and Mechanisms of Disease in Maltreated ChildrenR01HD086487 · NICHD · BUTLER HOSPITAL (PROVIDENCE, RI) · PI TYRKA, AUDREY · 2016 to 2020
$2.8M
Early Life Stress: Epigenetic Regulation of Endocrine and Immune PathwaysR01MH101107 · NIMH · BUTLER HOSPITAL (PROVIDENCE, RI) · PI TYRKA, AUDREY · 2014 to 2018
$2.6M
Research Training in Childhood Stress, Trauma, and ResilienceT32HD101392 · NICHD · MIRIAM HOSPITAL · PI PARADE, STEPHANIE HART, STROUD, LAURA R · 2020 to 2024
$1.7M
Mechanisms of Accelerated Aging: Stress, Health Behaviors, and the Role of MitochondriaR21AG077332 · NIA · BUTLER HOSPITAL (PROVIDENCE, RI) · PI TYRKA, AUDREY · 2023 to 2024
$413k
NIA NIH HHS R21 AG077332NICHD NIH HHS R01 HD086487NICHD NIH HHS T32 HD101392NIGMS NIH HHS P20 GM139767NIMH NIH HHS R01 MH101107NIMH NIH HHS R25 MH101076
6 · The paper itself

Abstract

objectiveThis study aimed to evaluate the relationship between early life stress (ELS) and metabolic risk in healthy young adults and assess the role of health behaviors.

methodsYoung adults aged 18 to 40 years ( N = 190) with no medical conditions or medication usage were recruited from the community. Participants with ELS ( N = 113) had a history of childhood maltreatment, and most also experienced parental loss ( n = 88). Controls ( N = 77) had no history of maltreatment or parental loss. Standardized interviews and self-reports assessed demographics, adversity, medical/psychiatric history, and health behaviors. Blood pressure and anthropometrics were measured, and fasting plasma assayed for lipid profiles, glucose, insulin level, and hemoglobin A 1c . We calculated both a clinical cut-point and continuous composite metabolic risk score based on clinical risk factors and the mean of z scores of each measure, respectively.

resultsELS was significantly associated with increased clinical cut-point ( β = 0.68, 95% confidence interval [CI] = 0.20-1.17, p = .006) and continuous ( β = 0.23, 95% CI = 0.08-0.038, p = .003) composite metabolic risk scores. On sensitivity analysis, the association of ELS with the continuous composite metabolic risk score was reduced to a trend after adjusting for a range of psychosocial and health predictors ( β = 0.18, 95% CI = 0.00-0.36, p = .053), with both diet and college graduate status significant in the model.

conclusionsHealthy young adults with a history of ELS have increased metabolic risk scores as compared with controls. This relationship may be partially due to health behaviors and socioeconomic factors. These findings underline that ELS is an early contributor to metabolic risk.

Indexed as

Adverse Childhood ExperiencesCardiovascular DiseasesParental DeathHumansRisk FactorsStress, PsychologicalYoung Adult

Identifiers

PMID38153259
PMCPMC10922275
OpenAlexW4390346361

What OpenQuestion holds

Textmetadata
LicenceTDM
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.