Evidence map›Paper›PMID 41131889›Full record

ArticleDevelopment and psychopathology2025

A systematic review of stress-adapted skills and hidden talents in individuals who faced early adversity.

LaShauna Porter, Elizabeth Handley

Abstract read
In one paragraph

Article in Development and psychopathology, 2025. 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. 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

2 authors.

LaShauna PorterClinical Psychology, https://ror.org/022kthw22University of Rochester, Rochester, NY, USA.ORCID https://orcid.org/0009-0007-9108-6506
Elizabeth HandleyClinical Psychology, https://ror.org/022kthw22University of Rochester, Rochester, NY, USA.ORCID https://orcid.org/0000-0002-0087-0263

Funding

Translational Research that Adapts New Science FORMaltreatment prevention (TRANSFORM)P50HD096698 · NICHD · UNIVERSITY OF ROCHESTER · PI JENNIE G NOLL, Sheree Lynn Toth · 2018 to 2026
$16.5M
NICHD NIH HHS P50 HD096698
6 · The paper itself

Abstract

Traditionally, early life adversity research has focused on negative outcomes. Contrastingly, the hidden talents framework asserts that many individuals develop specialized abilities as a direct result of their adversity exposure. This framework serves as the foundation for the current study, which systematically reviews extant empirical studies investigating hidden talents or stress-adapted skills in individuals who have experienced early adversity. Synthesizing data through a developmental lens, this review examines how these skills manifest at different stages of development. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we searched four databases and identified 45 eligible studies. Data on country of origin, sample size, predictor and outcome themes, and participant characteristics were extracted. Categorized into cognitive, social, and physiological domains, findings reveal that early adversity was associated with adaptive skills aligned with environmental demands (e.g., heightened emotional awareness, intuitive decision-making, empathy). While cognitive adaptations were the most studied, social and physiological adaptations remain underexplored. Some studies also reported null effects. Future directions include calls for examination of developmental pathways, longitudinal designs, diverse sampling, and culturally responsive approaches to better understand hidden talents and inform strength-based interventions.

Indexed as

early adversityhidden talentspsychopathologystress-adapted skillssystematic review

Identifiers

PMID41131889
PMCPMC12782060

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Registered trials

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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.