Evidence map›Paper›PMID 38230530›Full record

ArticleJournal of the American Heart Association2024

Perceived Stress From Childhood to Adulthood and Cardiometabolic End Points in Young Adulthood: An 18-Year Prospective Study.

Fangqi Guo, Xinci Chen, Steve Howland, Phoebe Danza, Zhongzheng Niu, W James Gauderman, Rima Habre, Rob McConnell, Mingzhu Yan, Lora Whitfield and 5 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Fundamental Frequency of Voice as a Potential Stress Biomarker: A Systematic Review and Meta-Analysis.Stress and health : journal of the International Society for the Investigation of Stress · 2025
    Pooled it
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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

15 authors.

Fangqi GuoDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.ORCID 0000-0002-6553-9328
Xinci ChenDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.ORCID 0009-0002-4619-7892
Steve HowlandDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.ORCID 0009-0004-5724-9437
Phoebe DanzaDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.
Zhongzheng NiuDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.
W James GaudermanDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.ORCID 0000-0002-6626-9091
Rima HabreDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.ORCID 0000-0003-2103-1706
Rob McConnellDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.
Mingzhu YanAtherosclerosis Research Unit University of Southern California Los Angeles CA USA.
Lora WhitfieldAtherosclerosis Research Unit University of Southern California Los Angeles CA USA.
Yanjie LiAtherosclerosis Research Unit University of Southern California Los Angeles CA USA.ORCID 0009-0003-7648-5833
Howard N HodisAtherosclerosis Research Unit University of Southern California Los Angeles CA USA.
Carrie V BretonDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.ORCID 0000-0002-6082-4066
Theresa M BastainDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.ORCID 0000-0002-0029-5641
Shohreh F FarzanDepartment of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA.ORCID 0000-0001-9897-3692

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 1996 to 2026
$46.4M
Lifecourse Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory Health (LA DREAMERs)UH3OD023287 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M, BRETON, CARRIE VAN DOREN · 2018 to 2022
$28.4M
Southern California Children's Environmental Health Center (SC-CEHC)P01ES022845 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MCCONNELL, ROB S · 2013 to 2018
$4.0M
Air pollutant exposure and progression of subclinical atherosclerosis during the critical transition from childhood to adulthoodR01ES031590 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FARZAN, SHOHREH F · 2021 to 2025
$2.9M
NCATS NIH HHS UL1 TR001855NIEHS NIH HHS P01 ES022845NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R01 ES031590NIH HHS UH3 OD023287
6 · The paper itself

Abstract

backgroundWe investigated how childhood-to-adulthood perceived stress patterns predict adult cardiometabolic risk. METHODS AND

resultsThis study included 276 participants from the Southern California Children's Health Study (2003-2014), and a follow-up assessment (2018-2021). Perceived stress (Perceived Stress Scale) was initially reported by participants' parents for themselves during early childhood (mean age, 6.3 years), and later self-reported during adolescence (13.3 years) and young adulthood (23.6 years). Participants were grouped into 4 stress patterns: consistently high, decreasing, increasing, and consistently low. Cardiometabolic risk was assessed in young adulthood by carotid artery intima-media thickness, systolic and diastolic blood pressure, obesity, percent body fat, android/gynoid ratio, and glycated hemoglobin. A cardiometabolic risk score was generated by summing the clinically abnormal markers. Multivariable linear and logistic regression models were used to (1) examine the associations between Perceived Stress Scale at 3 time points and adult cardiometabolic risk, and (2) assess the impact of stress pattern on adult cardiometabolic risk. Findings suggested that in adulthood, higher Perceived Stress Scale score was associated with increased overall cardiometabolic risk (β=0.12 [95% CI, 0.01-0.22]), carotid artery intima-media thickness (β=0.01 [95% CI, 0.0003-0.02]), systolic blood pressure (β=1.27 [95% CI, 0.09-2.45]), and diastolic blood pressure (β=0.94 [95% CI, 0.13-1.75]). Individuals with a consistently high adolescence-to-adulthood stress pattern had greater overall cardiometabolic risk (β=0.31 [95% CI, 0.02-0.60]), android/gynoid ratio (β=0.07 [95% CI, 0.02-0.13]), percent body fat (β=2.59 [95% CI, 0.01-5.17]), and greater odds of obesity (odds ratio, 5.57 [95% CI, 1.62-19.10]) in adulthood, compared with those with a consistently low Perceived Stress Scale score.

conclusionsConsistently high perceived stress from adolescence to adulthood may contribute to greater cardiometabolic risk in young adulthood.

Indexed as

Cardiovascular DiseasesCarotid Intima-Media ThicknessPsychological TestsSelf ReportAdolescentAdultBody Mass IndexChildChild, PreschoolHumansObesityProspective StudiesRisk FactorsStress, PsychologicalYoung Adultbody compositioncardiovascular diseaseintima‐media thicknessmetabolic diseasestress

Identifiers

PMID38230530
PMCPMC11056127

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.