Evidence map›Paper›PMID 36590986›Full record

ArticleSSM. Mental health2022

Increasing psychological distress among Californians from 2013 to 2020: Race/ethnic differences.

Sydney Tran, Alexandra S Wormley, Patricia Louie, Connor Sheehan

Open access · goldAbstract read
In one paragraph

Article in SSM. Mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Sydney TranDepartment of Psychology, Arizona State University, USA.
Alexandra S WormleyDepartment of Psychology, Arizona State University, USA.
Patricia LouieDepartment of Sociology, University of Washington, USA.
Connor SheehanSchool of Social and Family Dynamics, Arizona State University, USA.
Arizona State University · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of the COVID-19 pandemic on mental health is of mounting concern to population-health researchers. While early reports indicated increases in mental health problems, noticeably absent from these studies is how mental health has changed in 2020 compared to previous years (2013-2019) and whether such trends vary by race/ethnicity. The present study used repeated cross-sectional data from the California Health Interview Survey (n ​= ​168,216) to systematically document trends in psychological distress scores (Kessler-6 scale; K6) and severe psychological distress scores (K6; 13+) from 2013 to 2020 and by race/ethnicity over the same period. Among all Californians we find that the reported average psychological distress scores increased by 22% between 2013 and 2020. Reported severe psychological distress scores increased 61% from 2013 to 2020. These increases were largely concentrated in the years 2017-2020. Increases in psychological distress were also especially pronounced among non-Latino/a White Californians (29% increase in K6 from 2013 to 2020), Latino/a Californians (14% increase in K6 from 2013 to 2020), and Asian Californians (35% increase in K6 from 2013 to 2020). Multiple and logistic regression models that accounted for sociodemographic and behavioral health covariates echoed these findings. Future research should continue to investigate secular trends in mental health that coincided with the COVID-19 pandemic and carefully situate the shifts into broader temporal perspective.

Indexed as

Mental healthPsychological distressRace/ethnicityTrends

Identifiers

PMID36590986
PMCPMC9792130
OpenAlexW4224668079

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.