Risk Factors for Chronic Cough in Young Children: A Cohort Study
Data on the predictors of chronic cough development in young children are scarce. Our primary objective was to examine the factors associated with young children developing a chronic cough, with a focus on childcare attendance. A secondary analysis of data collected in a prospective cohort study of...
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| Published in | Frontiers in pediatrics Vol. 8; p. 444 |
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| Main Authors | , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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Frontiers Media S.A
12.08.2020
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| Abstract | Data on the predictors of chronic cough development in young children are scarce. Our primary objective was to examine the factors associated with young children developing a chronic cough, with a focus on childcare attendance.
A secondary analysis of data collected in a prospective cohort study of children presenting to three emergency departments and three primary healthcare centers in southeast Queensland, Australia. Eligible children where those aged <6-years presenting with cough and without known underlying chronic lung disease other than asthma. Children were followed for 4 weeks to ascertain cough duration. The primary outcome was persistent cough at day-28. Logistic regression models were undertaken to identify independent predictors of chronic cough including sensitivity analyses that accounted for children with unknown cough status at day-28.
In 362 children, 95 (26.2%) were classified as having chronic cough. In models that included only children for whom cough status was known at day-28, symptom duration at enrolment, age <12 months [adjusted odds ratio (aOR) 4.5, 95% confidence interval (CI) 1.1, 18.7], gestational age (aOR 3.2, 95%CI 1.4, 7.9), underlying medical conditions (aOR 2.6, 95% CI 1.3, 5.5), a history of wheeze (aOR 2.6, 95% CI 1.4, 4.8) and childcare attendance (aOR 2.3, 95% CI 1.2, 4.4) were independent predictors of chronic cough. Amongst childcare attendees only, 64 (29.8%) had chronic cough at day-28. The strongest predictor of chronic cough amongst childcare attendees was continued attendance at childcare during their illness (aOR = 12.9, 95% CI 3.9, 43.3).
Gestational age, underlying medical conditions, prior wheeze and childcare attendance are risk factors for chronic cough in young children. Parents/careers need to be aware of the risks associated with their child continuing to attend childcare whilst unwell and childcare centers should reinforce prevention measures in their facilities. |
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| AbstractList | Data on the predictors of chronic cough development in young children are scarce. Our primary objective was to examine the factors associated with young children developing a chronic cough, with a focus on childcare attendance.
A secondary analysis of data collected in a prospective cohort study of children presenting to three emergency departments and three primary healthcare centers in southeast Queensland, Australia. Eligible children where those aged <6-years presenting with cough and without known underlying chronic lung disease other than asthma. Children were followed for 4 weeks to ascertain cough duration. The primary outcome was persistent cough at day-28. Logistic regression models were undertaken to identify independent predictors of chronic cough including sensitivity analyses that accounted for children with unknown cough status at day-28.
In 362 children, 95 (26.2%) were classified as having chronic cough. In models that included only children for whom cough status was known at day-28, symptom duration at enrolment, age <12 months [adjusted odds ratio (aOR) 4.5, 95% confidence interval (CI) 1.1, 18.7], gestational age (aOR 3.2, 95%CI 1.4, 7.9), underlying medical conditions (aOR 2.6, 95% CI 1.3, 5.5), a history of wheeze (aOR 2.6, 95% CI 1.4, 4.8) and childcare attendance (aOR 2.3, 95% CI 1.2, 4.4) were independent predictors of chronic cough. Amongst childcare attendees only, 64 (29.8%) had chronic cough at day-28. The strongest predictor of chronic cough amongst childcare attendees was continued attendance at childcare during their illness (aOR = 12.9, 95% CI 3.9, 43.3).
Gestational age, underlying medical conditions, prior wheeze and childcare attendance are risk factors for chronic cough in young children. Parents/careers need to be aware of the risks associated with their child continuing to attend childcare whilst unwell and childcare centers should reinforce prevention measures in their facilities. Background and Objective: Data on the predictors of chronic cough development in young children are scarce. Our primary objective was to examine the factors associated with young children developing a chronic cough, with a focus on childcare attendance. Methods: A secondary analysis of data collected in a prospective cohort study of children presenting to three emergency departments and three primary healthcare centers in southeast Queensland, Australia. Eligible children where those aged <6-years presenting with cough and without known underlying chronic lung disease other than asthma. Children were followed for 4 weeks to ascertain cough duration. The primary outcome was persistent cough at day-28. Logistic regression models were undertaken to identify independent predictors of chronic cough including sensitivity analyses that accounted for children with unknown cough status at day-28. Results: In 362 children, 95 (26.2%) were classified as having chronic cough. In models that included only children for whom cough status was known at day-28, symptom duration at enrolment, age <12 months [adjusted odds ratio (aOR) 4.5, 95% confidence interval (CI) 1.1, 18.7], gestational age (aOR 3.2, 95%CI 1.4, 7.9), underlying medical conditions (aOR 2.6, 95% CI 1.3, 5.5), a history of wheeze (aOR 2.6, 95% CI 1.4, 4.8) and childcare attendance (aOR 2.3, 95% CI 1.2, 4.4) were independent predictors of chronic cough. Amongst childcare attendees only, 64 (29.8%) had chronic cough at day-28. The strongest predictor of chronic cough amongst childcare attendees was continued attendance at childcare during their illness (aOR = 12.9, 95% CI 3.9, 43.3). Conclusion: Gestational age, underlying medical conditions, prior wheeze and childcare attendance are risk factors for chronic cough in young children. Parents/careers need to be aware of the risks associated with their child continuing to attend childcare whilst unwell and childcare centers should reinforce prevention measures in their facilities. Background and Objective: Data on the predictors of chronic cough development in young children are scarce. Our primary objective was to examine the factors associated with young children developing a chronic cough, with a focus on childcare attendance. Methods: A secondary analysis of data collected in a prospective cohort study of children presenting to three emergency departments and three primary healthcare centers in southeast Queensland, Australia. Eligible children where those aged <6-years presenting with cough and without known underlying chronic lung disease other than asthma. Children were followed for 4 weeks to ascertain cough duration. The primary outcome was persistent cough at day-28. Logistic regression models were undertaken to identify independent predictors of chronic cough including sensitivity analyses that accounted for children with unknown cough status at day-28. Results: In 362 children, 95 (26.2%) were classified as having chronic cough. In models that included only children for whom cough status was known at day-28, symptom duration at enrolment, age <12 months [adjusted odds ratio (aOR) 4.5, 95% confidence interval (CI) 1.1, 18.7], gestational age (aOR 3.2, 95%CI 1.4, 7.9), underlying medical conditions (aOR 2.6, 95% CI 1.3, 5.5), a history of wheeze (aOR 2.6, 95% CI 1.4, 4.8) and childcare attendance (aOR 2.3, 95% CI 1.2, 4.4) were independent predictors of chronic cough. Amongst childcare attendees only, 64 (29.8%) had chronic cough at day-28. The strongest predictor of chronic cough amongst childcare attendees was continued attendance at childcare during their illness (aOR = 12.9, 95% CI 3.9, 43.3). Conclusion: Gestational age, underlying medical conditions, prior wheeze and childcare attendance are risk factors for chronic cough in young children. Parents/careers need to be aware of the risks associated with their child continuing to attend childcare whilst unwell and childcare centers should reinforce prevention measures in their facilities.Background and Objective: Data on the predictors of chronic cough development in young children are scarce. Our primary objective was to examine the factors associated with young children developing a chronic cough, with a focus on childcare attendance. Methods: A secondary analysis of data collected in a prospective cohort study of children presenting to three emergency departments and three primary healthcare centers in southeast Queensland, Australia. Eligible children where those aged <6-years presenting with cough and without known underlying chronic lung disease other than asthma. Children were followed for 4 weeks to ascertain cough duration. The primary outcome was persistent cough at day-28. Logistic regression models were undertaken to identify independent predictors of chronic cough including sensitivity analyses that accounted for children with unknown cough status at day-28. Results: In 362 children, 95 (26.2%) were classified as having chronic cough. In models that included only children for whom cough status was known at day-28, symptom duration at enrolment, age <12 months [adjusted odds ratio (aOR) 4.5, 95% confidence interval (CI) 1.1, 18.7], gestational age (aOR 3.2, 95%CI 1.4, 7.9), underlying medical conditions (aOR 2.6, 95% CI 1.3, 5.5), a history of wheeze (aOR 2.6, 95% CI 1.4, 4.8) and childcare attendance (aOR 2.3, 95% CI 1.2, 4.4) were independent predictors of chronic cough. Amongst childcare attendees only, 64 (29.8%) had chronic cough at day-28. The strongest predictor of chronic cough amongst childcare attendees was continued attendance at childcare during their illness (aOR = 12.9, 95% CI 3.9, 43.3). Conclusion: Gestational age, underlying medical conditions, prior wheeze and childcare attendance are risk factors for chronic cough in young children. Parents/careers need to be aware of the risks associated with their child continuing to attend childcare whilst unwell and childcare centers should reinforce prevention measures in their facilities. Background and Objective: Data on the predictors of chronic cough development in young children are scarce. Our primary objective was to examine the factors associated with young children developing a chronic cough, with a focus on childcare attendance.Methods: A secondary analysis of data collected in a prospective cohort study of children presenting to three emergency departments and three primary healthcare centers in southeast Queensland, Australia. Eligible children where those aged <6-years presenting with cough and without known underlying chronic lung disease other than asthma. Children were followed for 4 weeks to ascertain cough duration. The primary outcome was persistent cough at day-28. Logistic regression models were undertaken to identify independent predictors of chronic cough including sensitivity analyses that accounted for children with unknown cough status at day-28.Results: In 362 children, 95 (26.2%) were classified as having chronic cough. In models that included only children for whom cough status was known at day-28, symptom duration at enrolment, age <12 months [adjusted odds ratio (aOR) 4.5, 95% confidence interval (CI) 1.1, 18.7], gestational age (aOR 3.2, 95%CI 1.4, 7.9), underlying medical conditions (aOR 2.6, 95% CI 1.3, 5.5), a history of wheeze (aOR 2.6, 95% CI 1.4, 4.8) and childcare attendance (aOR 2.3, 95% CI 1.2, 4.4) were independent predictors of chronic cough. Amongst childcare attendees only, 64 (29.8%) had chronic cough at day-28. The strongest predictor of chronic cough amongst childcare attendees was continued attendance at childcare during their illness (aOR = 12.9, 95% CI 3.9, 43.3).Conclusion: Gestational age, underlying medical conditions, prior wheeze and childcare attendance are risk factors for chronic cough in young children. Parents/careers need to be aware of the risks associated with their child continuing to attend childcare whilst unwell and childcare centers should reinforce prevention measures in their facilities. |
| Author | Kaus, Michelle Arnold, Dan Chang, Anne B O'Grady, Kerry-Ann F Parfitt, Sarah Toombs, Maree Grimwood, Keith Au-Yeung, Yin To Anderson, Jennie Lovie-Toon, Yolanda Roberts, Jack Rablin, Sheree |
| AuthorAffiliation | 2 Child Health Division, Menzies School of Health Research , Tiwi, NT , Australia 5 Menzies Health Institute Queensland, Griffith University , Southport, QLD , Australia 6 Department of Paediatrics, Gold Coast Health , Southport, QLD , Australia 9 UQ Rural Clinical School, The University of Queensland , Toowoomba, QLD , Australia 7 Caboolture Community Medical , Caboolture, QLD , Australia 3 Department of Respiratory Medicine, Queensland Children's Hospital , South Brisbane, QLD , Australia 8 Carbal Health Services , Toowoomba, QLD , Australia 1 Australian Center for Health Services Innovation@ Centre for Healthcare Transformation, Queensland University of Technology , South Brisbane, QLD , Australia 4 School of Medicine, Griffith University , Southport, QLD , Australia |
| AuthorAffiliation_xml | – name: 9 UQ Rural Clinical School, The University of Queensland , Toowoomba, QLD , Australia – name: 6 Department of Paediatrics, Gold Coast Health , Southport, QLD , Australia – name: 8 Carbal Health Services , Toowoomba, QLD , Australia – name: 3 Department of Respiratory Medicine, Queensland Children's Hospital , South Brisbane, QLD , Australia – name: 4 School of Medicine, Griffith University , Southport, QLD , Australia – name: 1 Australian Center for Health Services Innovation@ Centre for Healthcare Transformation, Queensland University of Technology , South Brisbane, QLD , Australia – name: 5 Menzies Health Institute Queensland, Griffith University , Southport, QLD , Australia – name: 7 Caboolture Community Medical , Caboolture, QLD , Australia – name: 2 Child Health Division, Menzies School of Health Research , Tiwi, NT , Australia |
| Author_xml | – sequence: 1 givenname: Yin To surname: Au-Yeung fullname: Au-Yeung, Yin To organization: Australian Center for Health Services Innovation@ Centre for Healthcare Transformation, Queensland University of Technology, South Brisbane, QLD, Australia – sequence: 2 givenname: Anne B surname: Chang fullname: Chang, Anne B organization: Department of Respiratory Medicine, Queensland Children's Hospital, South Brisbane, QLD, Australia – sequence: 3 givenname: Keith surname: Grimwood fullname: Grimwood, Keith organization: Department of Paediatrics, Gold Coast Health, Southport, QLD, Australia – sequence: 4 givenname: Yolanda surname: Lovie-Toon fullname: Lovie-Toon, Yolanda organization: Australian Center for Health Services Innovation@ Centre for Healthcare Transformation, Queensland University of Technology, South Brisbane, QLD, Australia – sequence: 5 givenname: Michelle surname: Kaus fullname: Kaus, Michelle organization: Australian Center for Health Services Innovation@ Centre for Healthcare Transformation, Queensland University of Technology, South Brisbane, QLD, Australia – sequence: 6 givenname: Sheree surname: Rablin fullname: Rablin, Sheree organization: Australian Center for Health Services Innovation@ Centre for Healthcare Transformation, Queensland University of Technology, South Brisbane, QLD, Australia – sequence: 7 givenname: Dan surname: Arnold fullname: Arnold, Dan organization: Australian Center for Health Services Innovation@ Centre for Healthcare Transformation, Queensland University of Technology, South Brisbane, QLD, Australia – sequence: 8 givenname: Jack surname: Roberts fullname: Roberts, Jack organization: Australian Center for Health Services Innovation@ Centre for Healthcare Transformation, Queensland University of Technology, South Brisbane, QLD, Australia – sequence: 9 givenname: Sarah surname: Parfitt fullname: Parfitt, Sarah organization: Australian Center for Health Services Innovation@ Centre for Healthcare Transformation, Queensland University of Technology, South Brisbane, QLD, Australia – sequence: 10 givenname: Jennie surname: Anderson fullname: Anderson, Jennie organization: Caboolture Community Medical, Caboolture, QLD, Australia – sequence: 11 givenname: Maree surname: Toombs fullname: Toombs, Maree organization: UQ Rural Clinical School, The University of Queensland, Toowoomba, QLD, Australia – sequence: 12 givenname: Kerry-Ann F surname: O'Grady fullname: O'Grady, Kerry-Ann F organization: Australian Center for Health Services Innovation@ Centre for Healthcare Transformation, Queensland University of Technology, South Brisbane, QLD, Australia |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32903491$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_3390_jcm10245735 crossref_primary_10_3390_children11040447 crossref_primary_10_1016_j_otc_2022_07_012 crossref_primary_10_1186_s40359_023_01207_1 crossref_primary_10_3390_jcm13082413 |
| Cites_doi | 10.1016/S2352-4642(19)30327-X 10.1542/peds.2010-0844 10.1016/j.vaccine.2019.12.056 10.1371/journal.pone.0043214 10.1002/ppul.23480 10.1097/INF.0b013e318290601e 10.1586/ers.10.59 10.1111/cch.12481 10.1136/bmjopen-2016-013796 10.1136/bmjopen-2016-014635 10.1111/pai.12414 10.3928/19382359-20190219-01 10.1378/chest.129.5.1132 10.1371/journal.pone.0101440 10.3389/fped.2017.00228 10.1371/journal.pone.0197274 10.1016/j.pupt.2019.03.001 10.1111/jpc.14146 10.5694/mja14.00287 10.5694/j.1326-5377.2006.tb00290.x 10.3109/02770903.2011.604884 10.1016/j.prrv.2014.12.001 10.1111/jpc.13536 10.1136/bmj.f7027 10.1007/s11136-017-1779-y 10.1016/j.aller.2018.03.006 10.1378/chest.07-2236 10.1136/archdischild-2017-312848 10.1016/j.chest.2016.12.025 10.1002/ppul.21104 10.1378/chest.15-1403 10.1002/ppul.23527 10.3389/fped.2018.00379 10.1378/chest.13-2442 |
| ContentType | Journal Article |
| Copyright | Copyright © 2020 Au-Yeung, Chang, Grimwood, Lovie-Toon, Kaus, Rablin, Arnold, Roberts, Parfitt, Anderson, Toombs and O'Grady. Copyright © 2020 Au-Yeung, Chang, Grimwood, Lovie-Toon, Kaus, Rablin, Arnold, Roberts, Parfitt, Anderson, Toombs and O'Grady. 2020 Au-Yeung, Chang, Grimwood, Lovie-Toon, Kaus, Rablin, Arnold, Roberts, Parfitt, Anderson, Toombs and O'Grady |
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| Keywords | acute respiratory illness cohort study chronic cough children childcare |
| Language | English |
| License | Copyright © 2020 Au-Yeung, Chang, Grimwood, Lovie-Toon, Kaus, Rablin, Arnold, Roberts, Parfitt, Anderson, Toombs and O'Grady. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was submitted to Pediatric Pulmonology, a section of the journal Frontiers in Pediatrics Edited by: Michael David Shields, Queen's University Belfast, United Kingdom Reviewed by: Ahmad Kantar, Bergamaschi Hospital Institutes, Italy; Yusei Ohshima, University of Fukui, Japan |
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| Snippet | Data on the predictors of chronic cough development in young children are scarce. Our primary objective was to examine the factors associated with young... Background and Objective: Data on the predictors of chronic cough development in young children are scarce. Our primary objective was to examine the factors... Background and Objective: Data on the predictors of chronic cough development in young children are scarce. Our primary objective was to examine the factors... |
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| Title | Risk Factors for Chronic Cough in Young Children: A Cohort Study |
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