Evidence map›Paper›PMID 36299752›Full record

ArticleFrontiers in public health2022

Measuring Asian hate: Discordant reporting of race-based hate incidents and unfair treatment and association with measures of wellbeing.

Ninez A Ponce, Alexander C Adia, Rachel A Banawa, Sean Tan, Melanie D Sabado-Liwag

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Ninez A PonceUCLA Center for Health Policy Research, Los Angeles, CA, United States.
Alexander C AdiaFilipinx/a/o Community Health Association, Los Angeles, CA, United States.
Rachel A BanawaUCLA Center for Health Policy Research, Los Angeles, CA, United States.
Sean TanUCLA Center for Health Policy Research, Los Angeles, CA, United States.
Melanie D Sabado-LiwagFilipinx/a/o Community Health Association, Los Angeles, CA, United States.
University of California, Los Angeles · USCalifornia State University Los Angeles · US

Funding

COVID-19 and Southeast Asian AmericansU01MD017434 · NIMHD · CALIFORNIA STATE UNIVERSITY NORTHRIDGE · PI KWAN, PATCHAREEYA PUMPUANG, SABADO-LIWAG, MELANIE DEE · 2022 to 2023
$1.0M
NIMHD NIH HHS U01 MD017434
6 · The paper itself

Abstract

Background: During COVID-19, anti-Asian discrimination increased in attention. Hate and unfair treatment are related but do not completely overlap. We expect those who report a hate incident would also report race-based unfair treatment, yet feelings of social desirability or self-blame may lead to under-reporting of unfair treatment. Objectives: To describe reporting of an experience of race-based hate but not an experience of race-based unfair treatment among Asians in California and explore the association between this reporting discordance with (1) serious psychological distress, (2) forgoing needed medical care, (3) increased household interpersonal conflict, and (4) feeling unsafe in their neighborhood. Methods: We used the 2020 California Health Interview Survey's AANHPI COVID Module, conducted weighted descriptive and multivariate analyses, and computed adjusted relative risks (RR). The multivariate models controlled for Asian subgroup, age, gender, immigrant status, education level, poverty, and English proficiency. Results: Among Asians who reported race-based hate (6.9% overall), 62.4% reported not experiencing race-based unfair treatment. Compared to Asians not reporting a hate incident, this "discordant" group was more likely to experience serious psychological distress (RR = 6.9), forgo necessary medical care (RR = 2.4), increased household interpersonal conflicts (RR = 2.7), and feel unsafe in their neighborhoods (RR = 3.0). The "concordant" group did not post significant effects for severe psychological distress nor forgoing necessary medical care. Discussion: Most Asians reporting hate did not report race-based unfair treatment, and this group is most affected by the consequences of a hate incident. We indicate future directions for research and policy.

Indexed as

COVID-19HateAsian PeopleHumansPovertyResidence Characteristicsanti-Asian racismdiscriminationhealth accessinterpersonal conflict at homemental healthpopulation surveillance/methodspublic safetysurvey measurement

Identifiers

PMID36299752
PMCPMC9589279
OpenAlexW4303969382

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.