Evidence map›Paper›PMID 41973307›Full record

ArticleJournal of racial and ethnic health disparities2026

Internet-Based Microaggressions, Mental Health, and Stress: Development and Validation of the Internet-based Microagressions Scale.

Rob Eschmann, Natasha C Johnson, Stephanie M Ortiz, Noor Toraif, Ashley Cole, Yuan Zhang, Cheng-Shiun Leu

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Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Rob EschmannColumbia School of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA. r.eschmann@columbia.edu.ORCID http://orcid.org/0000-0002-7278-1526
Natasha C JohnsonColumbia School of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.
Stephanie M OrtizUniversity of Massachusetts, Lowell, MA, 01854, USA.
Noor ToraifBoston University, Boston, MA, 02215, USA.
Ashley ColeColumbia School of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.
Yuan ZhangColumbia School of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.
Cheng-Shiun LeuColumbia School of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMuch is known about the negative effects of racism, or racial microaggressions, on health and mental health outcomes. AIMS &

objectivesThis paper investigates the effects of online microaggression on health and wellness, validating a new scale: Internet-based Microaggressions Scale (IbMS). METHODOLOGY: This study draws on a survey gathered from a nationally representative sample of 1,647 participants (Mage = 46, SD = 18), including 885 women, 742 men, 17 non-binary, and 3 another gender. The researchers oversampled Black, Hispanic, and Asian participants, and 338 participants were Black, 346 Hispanic, 232 Asian, 669 White participants, 4 Native American, 34 multiracial, 23 other, and 1 Middle Eastern. Factor analyses (EFA and CFA) were conducted to determine the factor structure of the IbMS and reliability of each factor. Regression analyses were also performed to examine the association between IbMS subscales (inferiority, invalidations and stereotypical misrepresentations) and the two key outcomes of interest: depression/anxiety and stress. Findings from EFA suggested three factors structure of IbMS: Inferiority, Invalidations, and Stereotypical Misrepresentations.

resultsEach of the three scales had high reliability (Cronbach’s alpha ranged from 0.79 to 0.86). Regression analysis showed that greater exposure to online microaggressions was associated with higher reports of depression and stress.

conclusionThis research examines the effects of racial microaggressions in and across online contexts, increasing our ability to understand and address how negative interactions nested within these spaces exacerbate disparate mental health outcomes among people of Color.

Indexed as

AnxietyDepressionHealthMental healthMicroaggressionsRacismScale developmentStress

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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.