Evidence map›Paper›PMID 32020547›Full record

ArticleJournal of racial and ethnic health disparities2020

Twitter-Characterized Sentiment Towards Racial/Ethnic Minorities and Cardiovascular Disease (CVD) Outcomes.

Dina Huang, Yuru Huang, Nikki Adams, Thu T Nguyen, Quynh C Nguyen

Abstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Area-level racial prejudice and health: A systematic review.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2022
    Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Whites' County-Level Racial Bias, COVID-19 Rates, and Racial Inequities in the United States.International journal of environmental research and public health · 2020
    Article
  9. Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of COVID-19.International journal of environmental research and public health · 2020
    Article
  10. Use of Social Media in Stroke: A Systematic Review.Annals of Indian Academy of Neurology
    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.

Dina HuangDepartment of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, 20742, USA.ORCID 0000-0001-8165-8231
Yuru HuangDepartment of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, 20742, USA.ORCID 0000-0002-6800-0272
Nikki AdamsCenter for Substance Abuse Research, University of Maryland, College Park, MD, 20742, USA.
Thu T NguyenDepartment of Family and Community Medicine, University of California San Francisco, San Francisco, CA, 94110, USA.ORCID 0000-0003-1185-045X
Quynh C NguyenDepartment of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, 20742, USA. qtnguyen@umd.edu.ORCID 0000-0003-4745-6681

Funding

NDEWS Diversity Supplement: Exploring the Viability of Different Social Media Platforms for Emerging Drug Term DiscoveryU01DA038360 · NIDA · UNIV OF MARYLAND, COLLEGE PARK · PI WISH, ERIC D · 2014 to 2019
$5.0M
Neighborhood Looking Glass: 360 Degree Automated Characterization of the Built Environment for Neighborhood Effects ResearchR01LM012849 · NLM · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, QUYNH · 2018 to 2021
$1.3M
HashtagHealth: A Social Media Big Data Resource for Neighborhood Effects ResearchK01ES025433 · NIEHS · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, QUYNH · 2014 to 2018
$816k
Place-level discrimination and birth outcomesR00MD012615 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU · 2020 to 2022
$720k
NIDA NIH HHS U01 DA038360NIEHS NIH HHS K01 ES025433NIMHD NIH HHS R00 MD012615NLM NIH HHS R01 LM012849
6 · The paper itself

Abstract

Sentiments towards racial/ethnic minorities may impact cardiovascular disease (CVD) through direct and indirect pathways. In this study, we assessed the association between Twitter-derived sentiments towards racial/ethnic minorities at state-level and individual-level CVD-related outcomes from the 2017 Behavioral Risk Factor Surveillance System (BRFSS). Outcomes included hypertension, diabetes, obesity, stroke, myocardial infarction (MI), coronary heart disease (CHD), and any CVD from BRFSS 2017 (N = 433,434 to 433,680 across outcomes). A total of 30 million race-related tweets were collected using Twitter Streaming Application Programming Interface (API) from 2015 to 2018. Prevalence of negative and positive sentiment towards racial/ethnic minorities were constructed at the state level and merged with CVD outcomes. Poisson regression was used, and all the models adjusted for individual-level demographics as well as state-level demographics. Individuals living in states with the highest level of negative sentiment towards racial/ethnic minorities had 11% higher prevalence of hypertension (PR 1.11, 95% CI 1.08, 1.14), 15% higher prevalence of diabetes (PR 1.15, 95% CI 1.08, 1.22), 14% higher prevalence of obesity (PR 1.14, 95% CI 1.10, 1.18), 30% higher prevalence of stroke (PR 1.30, 95% CI 1.16, 1.46), 14% higher prevalence of MI (PR 1.14, 95% CI 1.03, 1.25), 9% higher prevalence of CHD (PR 1.09, 95% CI 1.00, 1.19), and 16% higher prevalence of any CVD outcomes (PR 1.16, 95% CI 1.09, 1.24). Conversely, Twitter-derived positive sentiment towards racial/ethnic minorities was associated with a lower prevalence of CVD outcomes. Programs and policies that promote racially inclusive environments may improve population health.

Indexed as

Cardiovascular DiseasesEthnicityFemaleHumansMaleMinority GroupsPrevalenceRacial GroupsSocial MediaUnited StatesCVD outcomesRacial/ethnic minoritiesRacial sentimentTwitter

Identifiers

PMID32020547
PMCPMC7398843

What OpenQuestion holds

Textmetadata
LicenceTDM
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.