Evidence map›Paper›PMID 36941888›Full record

ArticleInnovation in aging2023

Race-Ethnicity and Depressive Symptoms Among U.S. Older Adults in the COVID-19 Pandemic: Uncovering the Counterbalancing Mechanisms.

Miao Li, Ye Luo

Open access · goldFull text read
In one paragraph

Article in Innovation in aging, 2023. 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
0.6field-weighted citation impact, top 36% 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, 2 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Miao LiDepartment of Sociology, Anthropology, and Criminal Justice, Clemson University, Clemson, South Carolina, USA.
Ye LuoDepartment of Sociology, Anthropology, and Criminal Justice, Clemson University, Clemson, South Carolina, USA.
Clemson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Drawing on the counterbalancing framework, this study examined the counteracting roles of coronavirus disease (COVID)-related stressors (i.e., infection threat, family activity disruption, economic impact) and psychological resilience in explaining racial-ethnic disparities in depressive symptoms during the COVID-19 pandemic. Research Design and Methods: A competitive mediation model was fitted using nationally representative data from the Health and Retirement Study COVID-19 Project, which were collected in June 2020 ( Results: Infection threat, family activity disruption, economic impact, and psychological resilience were all higher among non-Hispanic Blacks and Hispanics than among non-Hispanic Whites. Economic impact had a positive whereas psychological resilience had a negative direct effect on depressive symptoms net of pre-COVID covariates and pre-COVID depressive symptoms. Mediation analyses revealed that, compared to non-Hispanic Whites, non-Hispanic Blacks and Hispanics had higher depressive symptoms due to their higher family activity disruption and higher economic impact, but their higher levels of psychological resilience also reduced depressive symptoms. The counteracting indirect effects offset each other, resulting in a null total effect of race-ethnicity on depressive symptoms. Discussion and Implications: These findings suggest that interventions addressing the mental health impact of COVID should consider race/ethnicity-specific vulnerabilities and resilience. Future studies need to consider the complex and potentially counterbalancing mechanisms linking race-ethnicity and mental health.

Indexed as

Competitive mediationDepressive symptomsHealth and Retirement StudyRaceResilience

Identifiers

PMID36941888
PMCPMC10024480
OpenAlexW4318699659

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read17
measurements read12
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.