Evidence map›Paper›PMID 36529994›Full record

ArticleThe International journal of social psychiatry2023

Depression and anxiety among multiethnic middle school students: Age, gender, and sociocultural environment.

Janis H Jenkins, Giselle Sanchez, Eric A Miller, Nadia Irina Santillanes Allande, Grace Urano, Alexandra J Pryor

Open access · greenAbstract read
In one paragraph

Article in The International journal of social psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 12 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

6 authors at 2 institutions in 2 countries.

Janis H JenkinsDepartment of Anthropology, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-4987-3075
Giselle SanchezDepartment of Anthropology, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-4829-0900
Eric A MillerSchool of Medicine, University of California San Diego, La Jolla, CA, USA.
Nadia Irina Santillanes AllandeCiesas Noreste, Monterrey, NL, Mexico.
Grace UranoDepartment of Anthropology, University of California San Diego, La Jolla, CA, USA.
Alexandra J PryorSchool of Medicine, University of California San Diego, La Jolla, CA, USA.
University of California San Diego · USCentro de Investigación y Estudios Superiores en Antropología Social · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and anxiety-related disorders are common among adolescents. Research attention to early adolescence and low-income ethnically diverse populations is limited.

aimTo conduct screening for depression and anxiety at an early age with attention to gender and socioenvironmental context within a low-income setting.

methodMixed methods included the PHQ-9A and GAD-10 screening instruments and ethnographic interviews.

results75 ethnically diverse middle school students were included. Mean years age was 11.2 (0.74). Females had higher PHQ-9A sum scores than males (

conclusionSpecific attention to early adolescence is needed to identify emergence of subsyndromal conditions which may benefit from therapeutic attention to reduce symptom severity, identify sociocultural, structural, and gender-specific stressors, and to enhance educational engagement.

Indexed as

COVID-19DepressionAdolescentAnxietyAnxiety DisordersFemaleHumansMaleStudentsAdolescentsanxietyCOVID-19depressionethnographic mixed methodsgenderglobal mental health

Identifiers

PMID36529994
PMCPMC10152214
OpenAlexW4311931797

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.