Evidence map›Paper›PMID 37162740›Full record

ArticleJournal of racial and ethnic health disparities2024

Similarities and Differences in the Longitudinal Trajectories of Depressive Symptoms from Mid-Adolescence to Young Adulthood: the Intersectionality of Gender, Race/Ethnicity, and Levels of Depressive Symptoms.

Eva Yi-Ju Chen, Eli Yi-Liang Tung

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Article in Journal of racial and ethnic health disparities, 2024. 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
2.9field-weighted citation impact, top 9% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Eva Yi-Ju ChenDepartment of Educational Psychology, Foundations, and Leadership Studies, University of Northern Iowa, Cedar Falls, IA, 50614, USA. eva.chen@uni.edu.ORCID 0000-0002-5964-0462
Eli Yi-Liang TungDepartment of Analytics and Operations, National University of Singapore, Singapore, 119077, Singapore.ORCID 0000-0001-6516-8152
National University of Singapore · SGUniversity of Northern Iowa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding similarities and differences between groups with intersecting social identities provides key information in research and practice to promote well-being. Building on the intersectionality literature indicating significant gender and racial/ethnic differences in depressive symptoms, the present study used quantile regression to systematically present the diversity in the development of depressive symptoms for individuals with intersecting gender, race/ethnicity, and levels of symptoms.

methodsInformation from the National Longitudinal Survey of Youth 79: Child and Young Adult study was employed. A detailed picture of depressive symptom trajectories from low to high quantiles was illustrated by depicting 13 quantile-specific trajectories using follow-up data from ages 15 to 40 in six gender-race/ethnicity groups: both genders of Black, Hispanic, and non-Black, non-Hispanic individuals.

resultsFrom low to high quantiles, Black and non-Black, non-Hispanic individuals showed mostly curved, and Hispanic individuals showed mostly flat trajectories. Across the six gender-race/ethnicity groups, the trajectories below 0.50 quantiles were similar in levels and shapes from mid-adolescence to young adulthood. The differences between the six gender-race/ethnicity groups widened, indicated by outspreading trajectories, especially at quantiles above 0.50. Furthermore, non-Black, non-Hispanic males and females showed especially fast-increasing patterns at quantiles above 0.75. Among those without or with only a high school degree, Black females and non-Black, non-Hispanic females tended to report similar levels of depressive symptoms higher than other groups at high quantiles. These unique longitudinal trajectory profiles cannot be captured by the mean trajectories.

conclusionsThe intersectionality of gender, race/ethnicity, and quantile of symptoms on the development of depressive symptoms was identified. Further studying the mechanism explaining this diversity can help reduce mental health disparities.

Indexed as

DepressionEthnicityHispanic or LatinoAdolescentAdultBlack or African AmericanFemaleHumansLongitudinal StudiesMaleRacial GroupsSex FactorsUnited StatesYoung AdultAdolescenceDepressive symptomsGender and racial/ethnic differencesIntersectionalityQuantile regressionTrajectory

Identifiers

PMID37162740
OpenAlexW4376121403

What OpenQuestion holds

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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.