Evidence map›Paper›PMID 38351248›Full record

ArticleChild psychiatry and human development2025

Child Anxiety and Depression During the COVID-19 Pandemic and Unmet Mental Health Care Needs.

Lora Daskalska, Sergey Tarima, John Meurer, Staci Young

Abstract read
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In one paragraph

Article in Child psychiatry and human development, 2025. 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
–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

1 citing paper in PubMed.

  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

4 authors.

Lora DaskalskaInstitute for Health & Equity, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, USA. ldaskalska@mcw.edu.ORCID http://orcid.org/0000-0003-3385-0565
Sergey TarimaInstitute for Health & Equity, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, USA.ORCID http://orcid.org/0000-0001-7542-1094
John MeurerInstitute for Health & Equity, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, USA.ORCID http://orcid.org/0000-0001-7139-1289
Staci YoungDepartment of Family and Community Medicine, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, USA.ORCID http://orcid.org/0000-0003-3562-2400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Child anxiety and depression increased in recent years, while access to health care improved in some ways and worsened in others. The purpose of this study was to understand the prevalence of child anxiety and depression during the COVID-19 pandemic, unmet mental health care need among children with these conditions, and whether disparities exist by race/ethnicity and sex. A cross-sectional secondary data analysis was conducted using the 2021 National Survey of Children's Health (ages 3-17 years, unweighted n = 42,175). Parent/caregiver-reported child anxiety and depression prevalence was greater among non-Hispanic White children than those of other racial/ethnic groups and females compared to males, after adjusting for covariates. Unmet mental health care need among children with anxiety and depression was greater among Hispanic children than those of other racial/ethnic groups, after adjusting for covariates. In conclusion, this study identified a disparity in unmet need between Hispanic children and those of other races and ethnicities. Implications for policy and practice are discussed.

Indexed as

AnxietyCOVID-19DepressionHealthcare DisparitiesHealth Services Needs and DemandMental Health ServicesAdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHealth Services AccessibilityHispanic or LatinoHumansMalePrevalenceAnxietyChildrenCOVID-19 pandemicDepressionUnmet need

Identifiers

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.