Evidence map›Paper›PMID 38326574›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2024

Income Loss and Mental Health during the COVID-19 Pandemic in the United States-Investigating the Moderating Role of Race and Metro-Level Co-ethnic Density.

Ying Huang

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Ying HuangDepartment of Sociology and Demography, University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX, 78249, USA. ying.huang@utsa.edu.ORCID 0000-0003-3569-7576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has significantly impacted individuals' financial well-being and mental health. This study investigates the relationship between income loss and mental health outcomes during the pandemic, as well as the heterogeneity in this relationship by race/ethnicity and co-ethnic density in the metropolitan area. Using nationally representative Household Pulse Survey data, this study finds that income loss is associated with a heightened risk of depression and anxiety, even after controlling for individual and metropolitan-level characteristics. Co-ethnic density in metropolitan areas worsens the effects of income loss on depression and anxiety for Hispanics and non-Hispanic Blacks while residing in a metropolitan area with more Whites cushions the impact of income loss on depression and anxiety for non-Hispanic Whites. Overall, the study underscores the importance of considering the intersection of race/ethnicity and metropolitan-level co-ethnic density in exploring the influence of economic stressors on mental health.

Indexed as

COVID-19Mental HealthEthnicityHumansPandemicsUnited StatesWhiteCo-ethnic densityCOVID-19Income lossMental healthRace/ethnicity

Identifiers

PMID38326574
PMCPMC10897121

What OpenQuestion holds

Textmetadata
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.