Evidence map›Paper›PMID 38470558›Full record

ReviewCurrent psychiatry reports2024

Sex Differences in Stress Susceptibility as a Key Mechanism Underlying Depression Risk.

Summer Mengelkoch, George M Slavich

Open access · hybridAbstract readReview
In one paragraph

Review in Current psychiatry reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
12.6field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 44 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

2 authors at 1 institution in 1 country.

Summer MengelkochDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA. smengelkoch@mednet.ucla.edu.ORCID 0000-0002-1845-2107
George M SlavichDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.ORCID 0000-0001-5710-3818
University of California, Los Angeles · US

Funding

California Governor's Office of Planning and Research/California Initiative to Advance Precision Medicine #OPR21101
6 · The paper itself

Abstract

purpose of reviewAlthough females are at relatively greater risk for a variety of disorders, including depression, the biological mechanisms underlying this striking health disparity remain unclear. To address this issue, we highlight sex differences in stress susceptibility as a key mechanism potentially driving this effect and describe the interacting inflammatory, hormonal, epigenomic, and social-environmental mechanisms involved. RECENT

findingsUsing the Social Signal Transduction Theory of Depression as a theoretical framework, women's elevated risk for depression may stem from a tight link between life stress, inflammation, and depression in women. Further, research finds hormonal contraceptive use alters cortisol and inflammatory reactivity to acute stress in ways that may increase depression risk in females. Finally, beyond established epigenetic mechanisms, mothers may transfer risk for depression to their female offspring through stressful family environments, which influence stress generation and stress-related gene expression. Together, these findings provide initial, biologically plausible clues that may help explain the relatively greater risk for depression in females vs. males. Looking forward, much more research is needed to address the longstanding underrepresentation of females in biomedical research on the biology of stress and depression.

Indexed as

DepressionSex CharacteristicsFemaleHumansInflammationMaleMothersStress, PsychologicalDepressionIntergenerationalMechanismsSex differencesStress susceptibilityWomen’s health

Identifiers

PMID38470558
PMCPMC10978685
OpenAlexW4392717284

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.