Evidence map›Paper›PMID 38879627›Full record

ArticlePediatric research2024

Associations between polygenic risk scores for cardiometabolic phenotypes and adolescent depression and body dissatisfaction.

Krista M Ekberg, Giorgia Michelini, Kristin L Schneider, Anna R Docherty, Andrey A Shabalin, Greg Perlman, Roman Kotov, Daniel N Klein, Monika A Waszczuk

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric research, 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

5 · Who and what money

Authors and funding

9 authors.

Krista M EkbergDepartment of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA. krista.ekberg@my.rfums.org.ORCID http://orcid.org/0000-0003-3174-2130
Giorgia MicheliniDepartment of Biological and Experimental Psychology, Queen Mary University of London, London, UK.
Kristin L SchneiderDepartment of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
Anna R DochertyDepartment of Psychiatry, University of Utah, Salt Lake City, UT, USA.
Andrey A ShabalinDepartment of Psychiatry, University of Utah, Salt Lake City, UT, USA.
Greg PerlmanDepartment of Psychiatry, Stony Brook University, Stony Brook, NY, USA.
Roman KotovDepartment of Psychiatry, Stony Brook University, Stony Brook, NY, USA.
Daniel N KleinDepartment of Psychology, Stony Brook University, Stony Brook, NY, USA.
Monika A WaszczukDepartment of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.

Funding

Genome-Wide Association Analysis of Suicide DeathR01MH123619 · NIMH · UNIVERSITY OF UTAH · PI DOCHERTY, ANNA R. · 2020 to 2024
$3.2M
6 · The paper itself

Abstract

backgroundAdolescents with elevated body mass index (BMI) are at an increased risk for depression and body dissatisfaction. Type 2 diabetes (T2D) is an established risk factor for depression. However, shared genetic risk between cardiometabolic conditions and mental health outcomes remains understudied in youth.

methodsThe current study examined associations between polygenic risk scores (PRS) for BMI and T2D, and symptoms of depression and body dissatisfaction, in a sample of 827 community adolescents (M

resultsBMI-PRS was associated with phenotypic BMI (β = 0.24, p < 0.001) and body dissatisfaction (β = 0.17, p < 0.001), but not with depressive symptoms. The association between BMI-PRS and body dissatisfaction was significantly mediated by BMI (indirect effect = 0.10, CI [0.07-0.13]). T2D-PRS was not associated with depression or body dissatisfaction.

conclusionsThe results suggest phenotypic BMI may largely explain the association between genetic risk for elevated BMI and body dissatisfaction in adolescents. Further research on age-specific genetic effects is needed, as summary statistics from adult discovery samples may have limited utility in youth. IMPACT: The association between genetic risk for elevated BMI and body dissatisfaction in adolescents may be largely explained by phenotypic BMI, indicating a potential pathway through which genetic predisposition influences body image perception. Furthermore, age-specific genetic research is needed to understand the unique influences on health outcomes during adolescence. By identifying BMI as a potential mediator in the association between genetic risk for elevated BMI and body dissatisfaction, the current findings offer insights that could inform interventions targeting body image concerns and mental health in this population.

Indexed as

Body DissatisfactionDepressionDiabetes Mellitus, Type 2Multifactorial InheritanceAdolescentBody ImageBody Mass IndexCardiometabolic Risk FactorsChildFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMalePhenotypeRisk Factors

Identifiers

PMID38879627

What Socratic holds

Textmetadata
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 Socratic graph.