Evidence map›Paper›PMID 35162214›Full record

ArticleInternational journal of environmental research and public health2022

Change in Depression and Its Determinants during the COVID-19 Pandemic: A Longitudinal Examination among Racially/Ethnically Diverse US Adults.

Yuzi Zhang, Kathryn M Janda, Nalini Ranjit, Deborah Salvo, Aida Nielsen, Alexandra van den Berg

Abstract read
In one paragraph

Article in International journal of environmental research and public 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

6 authors.

Yuzi ZhangUTHealth School of Public Health, Austin, TX 78701, USA.ORCID 0000-0003-2802-3223
Kathryn M JandaUTHealth School of Public Health, Austin, TX 78701, USA.ORCID 0000-0003-2121-553X
Nalini RanjitUTHealth School of Public Health, Austin, TX 78701, USA.
Deborah SalvoPrevention Research Center, Brown School, Washington University in Saint Louis, Saint Louis, MO 63130, USA.
Aida NielsenUTHealth School of Public Health, Austin, TX 78701, USA.
Alexandra van den BergUTHealth School of Public Health, Austin, TX 78701, USA.

Funding

The Retain Study: Recruiting and Engaging with Technology Older Adults to Increase NeurocognitionU48DP006395 · DP · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2018 to 2023
$4.8M
Cancer Prevention and Control Research Training and Career Development ProgramT32CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Bijal A. Balasubramanian, Maria Eulalia Fernandez · 2018 to 2026
$3.2M
NCCDPHP CDC HHS U48 DP006395
6 · The paper itself

Abstract

This study examined longitudinal data to identify changes in the occurrence of depressive symptoms, and to explore if such changes were associated with socio-demographic, movement behaviors, and health variables during the COVID-19 pandemic, among a diverse sample of central Texas residents. Participants who completed two online surveys in 2020 (in June and November) from an on-going longitudinal study were included. Depressive symptoms were measured by Patient Health Questionnaire-2. Change in depressive symptoms' occurrence status between the two time points was categorized into (1) stable/improved, and (2) consistent depressive symptoms/declined. Sociodemographic factors, movement behaviors and health data were self-reported. Statistical analyses utilized descriptive statistics and logistical regression. Among a total of 290 individuals (84.1% female; 71.0% racial/ethnic minorities), 13.5% were categorized as consistent depressive symptoms/declined. Multivariable logistic regression indicated that racial/ethnic minorities, older age, and increased physical activity were associated with a lower likelihood, while greater sedentary time was associated with higher likelihood of consistent depressive symptoms/declined status. Between 3 months and 8 months into the pandemic, various socio-demographic and behavioral variables were associated with changes in depressive symptoms' occurrence status. Future research should explore the longer-term impacts of COVID-19 on depression among a diverse population and identify risk factors for depression.

Indexed as

COVID-19PandemicsAdultAgedDepressionFemaleHumansLongitudinal StudiesMaleSARS-CoV-2COVID-19depressionhealth behaviorslongitudinal designmental healthphysical activityracial/ethnic minoritiessedentary time

Identifiers

PMID35162214
PMCPMC8835174

What OpenQuestion holds

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LicenceCC BY
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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.