Evidence map›Paper›PMID 38255401›Full record

ArticleChildren (Basel, Switzerland)2024

Socioeconomic and Health Determinants of the Prevalence of COVID-19 in a Population of Children with Respiratory Diseases and Symptoms.

Agata Wypych-Ślusarska, Karolina Krupa-Kotara, Klaudia Oleksiuk, Joanna Głogowska-Ligus, Jerzy Słowiński, Ewa Niewiadomska

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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

6 authors at 1 institution in 1 country.

Agata Wypych-ŚlusarskaDepartment of Epidemiology, Faculty of Public Health in Bytom, Medical University of Silesia in Katowice, 41-902 Katowice, Poland.ORCID 0000-0002-3741-574X
Karolina Krupa-KotaraDepartment of Biostatistics, Faculty of Public Health in Bytom, Medical University of Silesia in Katowice, 41-902 Katowice, Poland.ORCID 0000-0001-9330-0771
Klaudia OleksiukDepartment of Epidemiology, Faculty of Public Health in Bytom, Medical University of Silesia in Katowice, 41-902 Katowice, Poland.ORCID 0000-0001-6948-9084
Joanna Głogowska-LigusDepartment of Epidemiology, Faculty of Public Health in Bytom, Medical University of Silesia in Katowice, 41-902 Katowice, Poland.ORCID 0000-0002-5003-9187
Jerzy SłowińskiDepartment of Epidemiology, Faculty of Public Health in Bytom, Medical University of Silesia in Katowice, 41-902 Katowice, Poland.ORCID 0000-0003-2470-2296
Ewa NiewiadomskaDepartment of Biostatistics, Faculty of Public Health in Bytom, Medical University of Silesia in Katowice, 41-902 Katowice, Poland.ORCID 0000-0003-0612-1949
Medical University of Silesia · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost epidemiological studies indicate that bronchial asthma is not a risk factor for COVID-19, but previous analyses have not additionally focused on the socioeconomic determinants of SARS-CoV-2 infection in children with asthma, bronchitis, and respiratory symptoms.

aimsThis research aimed to investigate the correlation between the socioeconomic status of families and the prevalence of respiratory conditions such as asthma, bronchitis, and respiratory symptoms in children, in addition to exploring their association with the prevalence of COVID-19. The study involved a cross-sectional epidemiological investigation conducted in 2022, encompassing 2454 students from elementary schools in Poland. The parents of the students completed a questionnaire modeled after the International Study on Asthma and Allergies in Childhood (ISAAC). Socioeconomic status (SES) indicators were determined based on parental education, self-reported economic status, and housing conditions. To assess the impact of social factors and health on the occurrence of COVID-19, odds ratios (ORs) were calculated. The findings revealed several COVID-19 risk factors, including higher maternal (OR 2.2; 95%CI: 1.3-3.0) and paternal education (OR 1.9; 95%CI: 1.3-2.4), urban residence (OR 1.7; 95%CI: 1.3-2.1), the presence of mold in residences (OR 1.7; 95%CI: 1.0-2.3), bronchitis (OR 1.5; 95%CI: 1.2-2.0), and chronic cough (OR 1.8; 95%CI: 1.3-2.4). Further analysis, stratifying children based on their baseline health status (i.e., presence or absence of asthma, bronchitis, and chronic cough), indicated that higher parental education increased the risk of COVID-19 solely for children without pre-existing conditions. The occurrence of SARS-CoV-2 infections was found to be notably associated with mold exposure in children who did not have bronchial asthma. Rigorous multivariate analyses substantiated the collective impact of factors such as residential environment, the existence of mold and moisture, and a history of bronchitis. This study's conclusions highlight a higher frequency of SARS-CoV-2 infections in cases where bronchitis had been diagnosed previously and chronic cough was prevalent. Interestingly, the initially hypothesized higher prevalence of COVID-19 among children with bronchial asthma did not receive confirmation in our findings. This study highlights the importance of urban residence, exposure to mold or dampness, and higher parental education in the incidence of COVID-19. Higher parental education was a significant factor in increasing the risk of COVID-19 among children without bronchitis, chronic cough, and asthma.

Indexed as

asthmabronchitischronic coughCOVID-19inequalitiesSARS-CoV-2SES

Identifiers

PMID38255401
PMCPMC10814875
OpenAlexW4390752842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.