Evidence map›Paper›PMID 35352241›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2022

The COVID-19 Pandemic as a Threat Multiplier for Childhood Health Disparities: Evidence from St. Louis, MO.

Nadav L Sprague, Andrew G Rundle, Christine C Ekenga

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Environmental health perceptions of urban youth from low-income communities: A qualitative photovoice study and framework.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  9. Article
  10. Article
  11. 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

3 authors.

Nadav L SpragueDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY, 10032, USA. nls2171@cumc.columbia.edu.
Andrew G RundleDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY, 10032, USA.
Christine C EkengaGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6M
Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
Training Program in Environmental Life Course EpidemiologyT32ES023772 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FACTOR-LITVAK, PAM R, PERERA, FREDERICA P · 2015 to 2019
$1.3M
NIEHS NIH HHS P30 ES019776NIEHS NIH HHS T32 ES007322NIEHS NIH HHS T32 ES023772
6 · The paper itself

Abstract

The COVID-19 pandemic has highlighted socioeconomic and racial health disparities in the USA. In this study, we examined the COVID-19 pandemic as a threat multiplier for childhood health disparities by evaluating health behavior changes among urban St. Louis, MO, children (ages 6-14) during the COVID-19 pandemic. From 27 October to 10 December 2020, 122 parents/guardians reported on their children's health behaviors (Eating, Sleeping, Physical activity, Time outside, Time with friends in-person, Time with friends remotely, Time using media for educational proposes, Time using media for non-educational proposes, and Social connectedness) prior to and during the COVID-19 pandemic. We ran K-means cluster analyses to identify distinct health behavior cluster profiles. Relative risks were determined to evaluate behavioral differences between the two clusters. Two distinct cluster profiles were identified: a High Impact profile (n = 49) and a Moderate Impact profile (n = 73). Children in the High Impact cluster had a greater risk of being diagnosed with COVID-19, developed worsened eating habits (RR = 2.10; 95% CI = 1.50-2.93), spent less time sleeping, and spent less time outdoors (RR = 1.55; 95% CI = 1.03-2.43) than the Moderate Impact cluster. The High Impact cluster was more likely to include Black children and children from single-adult households than the Moderate Impact cluster (both p < 0.05). Our findings suggest that the COVID-19 pandemic may be a threat multiplier for childhood health disparities. Further research is needed to better understand the long-term effects of the COVID-19 pandemic on children's health.

Indexed as

COVID-19AdolescentAdultChildChild HealthHumansPandemicsParentsSARS-CoV-2AdolescentBehavioral healthCluster analysisCorona virusDisparitiesHealth equityPediatricPublic healthYouth

Identifiers

PMID35352241
PMCPMC8964244

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.