Evidence map›Paper›PMID 38519555›Full record

ArticleScientific reports2024

Association of factors with childhood asthma and allergic diseases using latent class analysis.

Teresa To, Cornelia M Borkhoff, Laura N Anderson, Catherine S Birken, Sharon D Dell, Magdalena Janus, Jonathon L Maguire, Theo J Moraes, Patricia C Parkin, Padmaja Subbarao and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Teresa ToChild Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay St, Toronto, ON, M5G 0A4, Canada. teresa.to@sickkids.ca.
Cornelia M BorkhoffDivision of Paediatric Medicine and the Paediatric Outcomes Research Team (PORT), Hospital for Sick Children, Toronto, ON, Canada.
Laura N AndersonHealth Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Catherine S BirkenDivision of Paediatric Medicine and the Paediatric Outcomes Research Team (PORT), Hospital for Sick Children, Toronto, ON, Canada.
Sharon D DellDivision of Respiratory Medicine, Department of Pediatrics, BC Children's Hospital and University of British Columbia, Vancouver, BC, Canada.
Magdalena JanusOfford Centre for Child Studies, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
Jonathon L MaguireThe Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, ON, Canada.
Theo J MoraesDepartment of Pediatrics, Translational Medicine, Hospital for Sick Children and University of Toronto, Toronto, ON, Canada.
Patricia C ParkinDivision of Paediatric Medicine and the Paediatric Outcomes Research Team (PORT), Hospital for Sick Children, Toronto, ON, Canada.
Padmaja SubbaraoDepartment of Pediatrics, Translational Medicine, Hospital for Sick Children and University of Toronto, Toronto, ON, Canada.
Anne Van DamKnowledge Mobilization, Canadian Thoracic Society, Ottawa, ON, Canada.
Beverly GuttmanProvincial Council for Maternal and Child Health, Toronto, ON, Canada.
Emilie TerebessyChild Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay St, Toronto, ON, M5G 0A4, Canada.
Kimball ZhangChild Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay St, Toronto, ON, M5G 0A4, Canada.
Jingqin ZhuChild Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay St, Toronto, ON, M5G 0A4, Canada.

Funding

Canadian Institutes of Health Research (CIHR) Operational Grant Data Analysis Using Existing Databases and Cohorts- Reproductive, Maternal, Child and Youth Health
6 · The paper itself

Abstract

We hypothesize that children characterized by deprived factors have poorer health outcomes. We aim to identify clustering of determinants and estimate risk of early childhood diseases. This 1993-2019 longitudinal cohort study combines three Canadian pediatric cohorts and their families. Mothers and children are clustered using latent class analysis (LCA) by 16 indicators in three domains (maternal and newborn; socioeconomic status [SES] and neighbourhood; environmental exposures). Hazard ratios (HR) of childhood asthma, allergic rhinitis (AR), and eczema are quantified with Cox proportional hazard (PH) regression. Rate ratios (RR) of children's health services use (HSU) are estimated with Poisson regression. Here we report the inclusion of 15,724 mother-child pairs; our LCA identifies four mother-clusters. Classes 1 and 2 mothers are older (30-40 s), non-immigrants with university education, living in high SES neighbourhoods; Class 2 mothers have poorer air quality and less greenspace. Classes 3 and 4 mothers are younger (20-30 s), likely an immigrant/refugee, with high school-to-college education, living in lower SES neighborhoods with poorer air quality and less greenspace. Children's outcomes differ by Class, in comparison to Class 1. Classes 3 and 4 children have higher risks of asthma (HR 1.24, 95% CI 1.11-1.37 and HR 1.39, 95% CI 1.22-1.59, respectively), and similar higher risks of AR and eczema. Children with AR in Class 3 have 20% higher all-cause physician visits (RR = 1.20, 95% CI 1.10-1.30) and those with eczema have 18% higher all-cause emergency department visits (RR = 1.18, 95% CI 1.09-1.28) and 14% higher all-cause physician visits (RR = 1.14, 95% CI 1.09-1.19). Multifactorial-LCA mother-clusters may characterize associations of children's health outcomes and care, adjusting for interrelationships.

Indexed as

AsthmaEczemaRhinitis, AllergicCanadaChildChild, PreschoolFemaleHumansInfant, NewbornLatent Class AnalysisLongitudinal StudiesAllergic diseaseAsthmaChild health determinantsChild health outcomesLatent class analysis

Identifiers

PMID38519555
PMCPMC10959981

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.