Evidence map›Paper›PMID 41662034›Full record

ArticlePLOS mental health2025

Gender differences in anxiety and perceived stress during the Covid-19 pandemic among Brazilian adolescents from impoverished communities.

Nicolas Kimura Generoso, Ana Luiza Vilela Borges, Cristiane da Silva Cabral

Abstract read
In one paragraph

Article in PLOS mental health, 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

3 authors.

Nicolas Kimura GenerosoDepartment of Health and Society, School of Public Health, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-8792-2491
Ana Luiza Vilela BorgesDepartment of Public Health Nursing, School of Nursing, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-2807-1762
Cristiane da Silva CabralDepartment of Health and Society, School of Public Health, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-3025-2404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines factors associated with anxiety and perceived stress among adolescents living in socioeconomically vulnerable urban areas of São Paulo, Brazil, in the context of the Covid-19 pandemic. Drawing from a cross-sectional analysis of 396 cisgender adolescents aged 13-17, recruited through Family Health Strategy units, data were collected via structured home-based interviews and analyzed using validated psychometric tools (GAD-7 and PSS-10). Findings indicate that 28.5% of participants exhibited moderate to severe anxiety, and 72.5% reported moderate to high levels of perceived stress, especially among girls. Multivariate models identified age, gender, perceived emotional neglect, experiences of verbal hostility within the household, digital sociability, and pandemic-induced academic difficulties as key predictors of adverse outcomes. Conversely, protective associations were observed for adolescents whose parents were in a relationship, who reported affective support at school, or who lived in owned housing. The intersection between gender norms, emotional vulnerability, and structural deprivation emerged as a critical lens for interpreting the psychosocial consequences of the pandemic. These results underscore the need for context-sensitive public health strategies that transcend individualizing frameworks and address the material, relational, and symbolic dimensions of adolescent mental health in unequal urban settings.

Identifiers

PMID41662034
PMCPMC12798566

What OpenQuestion holds

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LicenceCC BY
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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.