Cited by 51Mental Health Treatment and AccessChild and Adolescent Psychosocial and Emotional DevelopmentHealth disparities and outcomes

Toward Scientific Equity for the Prevention of Depression and Depressive Symptoms in Vulnerable Youth

Open access
Perrino, Tatiana, Beardslee, William, Bernal, Guillermo, Brincks, Ahnalee, Cruden, Gracelyn, Howe, George, Murry, Velma, Pantin, Hilda +3 more·2015·Prevention Science

Abstract

Certain subgroups of youth are at high risk for depression and elevated depressive symptoms, and experience limited access to quality mental health care. Examples are socioeconomically disadvantaged, racial/ethnic minority, and sexual minority youth. Research shows that there are efficacious interventions to prevent youth depression and depressive symptoms. These preventive interventions have the potential to play a key role in addressing these mental health disparities by reducing youth risk factors and enhancing protective factors. However, there are comparatively few preventive interventions directed specifically to these vulnerable subgroups, and sample sizes of diverse subgroups in general prevention trials are often too low to assess whether preventive interventions work equally well for vulnerable youth compared to other youth. In this paper, we describe the importance and need for "scientific equity," or equality and fairness in the amount of scientific knowledge produced to understand the potential solutions to such health disparities. We highlight possible strategies for promoting scientific equity, including the following: increasing the number of prevention research participants from vulnerable subgroups, conducting more data synthesis analyses and implementation science research, disseminating preventive interventions that are efficacious for vulnerable youth, and increasing the diversity of the prevention science research workforce. These strategies can increase the availability of research evidence to determine the degree to which preventive interventions can help address mental health disparities. Although this paper utilizes the prevention of youth depression as an illustrative case example, the concepts are applicable to other health outcomes for which there are disparities, such as substance use and obesity.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s11121-014-0518-7

Cites

80 of 80 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • More rapid implementation is especially important to the delivery of effective interventions to minorities and other populations experiencing health or health service disparities that would otherwise not benefit from the extensive research required to demonstrate effectiveness.

    “To close this discussion of a framework for asserting that a scaling-out is expected to share the original version’s impact on health outcomes by relying on previous studies and new empirical data, we note that more rapid implementation is especially important to the delivery of effective interventions to minorities and other populations experiencing health or health service disparities that would”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Perrino, T., Beardslee, W., Bernal, G., Brincks, A., Cruden, G., Howe, G., Murry, V., Pantin, H., Prado, G., Sandler, I., & Brown, C. H.
Affiliations
  • University of Miami (US)
  • Boston Children's Hospital (US)
  • University of Puerto Rico System (PR)
  • Northwestern University (US)
  • George Washington University (US)
  • Vanderbilt University (US)
  • Arizona State University (US)
Corresponding author
Perrino, Tatiana
Venue
Prevention Science
Published
2014-10-28
Volume
16
Issue
5
Pages
642-651
ISSN
  • 1389-4986 (ISSN-L)
  • 1573-6695
OpenAlex
W1994279527
Cited by
51
References
80
Citations by year
2025: 4 · 2024: 1 · 2023: 5 · 2022: 4 · 2021: 12 · 2020: 2 · 2019: 7 · 2018: 5 · 2017: 5 · 2016: 3 · 2015: 3
FWCI
0.52
Type
journal article
Language
en
Open access
Locations
  • Prevention Science (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of Mental Health (R01MH040859)
  • National Institute on Drug Abuse (P30DA027828)
Topics
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
  • Social Sciences › Health › Health disparities and outcomes
Keywords
depressive symptoms, mental health disparities, vulnerable youth, socioeconomic deprivation, racial and ethnic minority youth, sexual minority youth, preventive interventions, diversity in research, implementation science, intervention dissemination, data synthesis
MeSH terms
Adolescent, Cross-Sectional Studies, Depression, Depressive Disorder, Ethnicity, Female, Health Services Research, Humans, Male, Research Support as Topic, Risk Factors, United States, Randomized Controlled Trials as Topic, Cultural Diversity, Vulnerable Populations, Healthcare Disparities

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review