Investigating obesity‐related risk factors for childhood asthma

Background We tested the hypothesis that multiple obesity‐related risk factors (obesity, physical activity, cardiopulmonary physical fitness, sleep‐disorder breathing (SDB), and sleep quality) are associated with childhood asthma using a Mendelian randomization (MR) design. Furthermore, we aim to in...

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Veröffentlicht in:Pediatric allergy and immunology 2022-01, Vol.33 (1), p.e13710-n/a
Hauptverfasser: Chen, Yang‐Ching, Su, Ming‐Wei, Brumpton, Ben M., Lee, Yungling L., Kalayci, Ömer
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container_issue 1
container_start_page e13710
container_title Pediatric allergy and immunology
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creator Chen, Yang‐Ching
Su, Ming‐Wei
Brumpton, Ben M.
Lee, Yungling L.
Kalayci, Ömer
description Background We tested the hypothesis that multiple obesity‐related risk factors (obesity, physical activity, cardiopulmonary physical fitness, sleep‐disorder breathing (SDB), and sleep quality) are associated with childhood asthma using a Mendelian randomization (MR) design. Furthermore, we aim to investigate whether these risk factors were associated with incident asthma prospectively. Methods In total, 7069 children aged 12 from the Taiwan Children Health Study were enrolled in the current study. Cross‐sectional logistic regression, one‐sample MR, summary‐level MR sensitivity analyses, and prospective survival analyses were used to investigate each causal pathway. Results In MR analysis, three of the five risk factors (obesity, SDB, and sleep quality) were associated with asthma, with the highest effect sizes per inter‐quartile range (IQR) increase observed for sleep quality (odds ratio [OR] = 1.42; 95% confidence interval [CI]: 1.06 to 1.92) and the lowest for obesity (OR = 1.08; 95% CI: 1.00–1.16). In the prospective survival analysis, obesity showed the highest risk of incident asthma per IQR increase (hazard ratio [HR] = 1.28; 95% CI: 1.05 to 1.56), followed by SDB (HR = 1.18; 95% CI: 1.08 to 1.29) and sleep quality (HR = 1.10; 95% CI: 1.03 to 1.17). Conclusion Among the examined factors, the most plausible risk factors for asthma were obesity, SDB, and poor sleep quality. For the prevention of childhood asthma, relevant stakeholders should prioritize improving children's sleep quality and preventing obesity comorbidities such as SDB.
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Furthermore, we aim to investigate whether these risk factors were associated with incident asthma prospectively. Methods In total, 7069 children aged 12 from the Taiwan Children Health Study were enrolled in the current study. Cross‐sectional logistic regression, one‐sample MR, summary‐level MR sensitivity analyses, and prospective survival analyses were used to investigate each causal pathway. Results In MR analysis, three of the five risk factors (obesity, SDB, and sleep quality) were associated with asthma, with the highest effect sizes per inter‐quartile range (IQR) increase observed for sleep quality (odds ratio [OR] = 1.42; 95% confidence interval [CI]: 1.06 to 1.92) and the lowest for obesity (OR = 1.08; 95% CI: 1.00–1.16). In the prospective survival analysis, obesity showed the highest risk of incident asthma per IQR increase (hazard ratio [HR] = 1.28; 95% CI: 1.05 to 1.56), followed by SDB (HR = 1.18; 95% CI: 1.08 to 1.29) and sleep quality (HR = 1.10; 95% CI: 1.03 to 1.17). Conclusion Among the examined factors, the most plausible risk factors for asthma were obesity, SDB, and poor sleep quality. For the prevention of childhood asthma, relevant stakeholders should prioritize improving children's sleep quality and preventing obesity comorbidities such as SDB.</description><identifier>ISSN: 0905-6157</identifier><identifier>EISSN: 1399-3038</identifier><identifier>DOI: 10.1111/pai.13710</identifier><identifier>PMID: 34856028</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Asthma ; Asthma - complications ; Asthma - epidemiology ; Child ; Children ; Childrens health ; Cross-Sectional Studies ; Humans ; Mendelian Randomization Study ; Obesity ; Obesity - epidemiology ; Physical activity ; Physical fitness ; Prospective Studies ; prospective study ; pulmonary function ; Risk Factors ; Sensitivity analysis ; Sleep ; Survival ; Survival analysis</subject><ispartof>Pediatric allergy and immunology, 2022-01, Vol.33 (1), p.e13710-n/a</ispartof><rights>2021 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd.</rights><rights>Copyright © 2022 John Wiley &amp; Sons A/S</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3530-3e1b38656d705907cd8ac2585e3bf55a87cf3cc293669e288141d9a40211b82f3</citedby><cites>FETCH-LOGICAL-c3530-3e1b38656d705907cd8ac2585e3bf55a87cf3cc293669e288141d9a40211b82f3</cites><orcidid>0000-0003-1198-7333 ; 0000-0002-0682-3716 ; 0000-0002-2234-9479 ; 0000-0002-3058-1059</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fpai.13710$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fpai.13710$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,45579,45580</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34856028$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kalayci, Ömer</contributor><creatorcontrib>Chen, Yang‐Ching</creatorcontrib><creatorcontrib>Su, Ming‐Wei</creatorcontrib><creatorcontrib>Brumpton, Ben M.</creatorcontrib><creatorcontrib>Lee, Yungling L.</creatorcontrib><creatorcontrib>Kalayci, Ömer</creatorcontrib><title>Investigating obesity‐related risk factors for childhood asthma</title><title>Pediatric allergy and immunology</title><addtitle>Pediatr Allergy Immunol</addtitle><description>Background We tested the hypothesis that multiple obesity‐related risk factors (obesity, physical activity, cardiopulmonary physical fitness, sleep‐disorder breathing (SDB), and sleep quality) are associated with childhood asthma using a Mendelian randomization (MR) design. Furthermore, we aim to investigate whether these risk factors were associated with incident asthma prospectively. Methods In total, 7069 children aged 12 from the Taiwan Children Health Study were enrolled in the current study. Cross‐sectional logistic regression, one‐sample MR, summary‐level MR sensitivity analyses, and prospective survival analyses were used to investigate each causal pathway. Results In MR analysis, three of the five risk factors (obesity, SDB, and sleep quality) were associated with asthma, with the highest effect sizes per inter‐quartile range (IQR) increase observed for sleep quality (odds ratio [OR] = 1.42; 95% confidence interval [CI]: 1.06 to 1.92) and the lowest for obesity (OR = 1.08; 95% CI: 1.00–1.16). In the prospective survival analysis, obesity showed the highest risk of incident asthma per IQR increase (hazard ratio [HR] = 1.28; 95% CI: 1.05 to 1.56), followed by SDB (HR = 1.18; 95% CI: 1.08 to 1.29) and sleep quality (HR = 1.10; 95% CI: 1.03 to 1.17). Conclusion Among the examined factors, the most plausible risk factors for asthma were obesity, SDB, and poor sleep quality. For the prevention of childhood asthma, relevant stakeholders should prioritize improving children's sleep quality and preventing obesity comorbidities such as SDB.</description><subject>Asthma</subject><subject>Asthma - complications</subject><subject>Asthma - epidemiology</subject><subject>Child</subject><subject>Children</subject><subject>Childrens health</subject><subject>Cross-Sectional Studies</subject><subject>Humans</subject><subject>Mendelian Randomization Study</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Prospective Studies</subject><subject>prospective study</subject><subject>pulmonary function</subject><subject>Risk Factors</subject><subject>Sensitivity analysis</subject><subject>Sleep</subject><subject>Survival</subject><subject>Survival analysis</subject><issn>0905-6157</issn><issn>1399-3038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10LtOwzAYBWALgWgpDLwAisQCQ1pfYsceq4pLpUowwBw5jtO6JHGxE1A3HoFn5EkwpDAg8S__8uno6ABwiuAYhZtspBkjkiK4B4aICBETSPg-GEIBacwQTQfgyPs1hCglDB2CAUk4ZRDzIZjOmxftW7OUrWmWkc21N-324-3d6Uq2uoic8U9RKVVrnY9K6yK1MlWxsraIpG9XtTwGB6WsvD7Z_RF4vL56mN3Gi7ub-Wy6iBWhBMZEo5xwRlmRQipgqgouFaacapKXlEqeqpIohQVhTGjMOUpQIWQCMUI5xyUZgYs-d-Pscxc6Z7XxSleVbLTtfIYZZIJgntJAz__Qte1cE9oFhWjCUoyToC57pZz13uky2zhTS7fNEMy-ds3Crtn3rsGe7RK7vNbFr_wZMoBJD15Npbf_J2X303kf-QnbVIC2</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Chen, Yang‐Ching</creator><creator>Su, Ming‐Wei</creator><creator>Brumpton, Ben M.</creator><creator>Lee, Yungling L.</creator><creator>Kalayci, Ömer</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1198-7333</orcidid><orcidid>https://orcid.org/0000-0002-0682-3716</orcidid><orcidid>https://orcid.org/0000-0002-2234-9479</orcidid><orcidid>https://orcid.org/0000-0002-3058-1059</orcidid></search><sort><creationdate>202201</creationdate><title>Investigating obesity‐related risk factors for childhood asthma</title><author>Chen, Yang‐Ching ; Su, Ming‐Wei ; Brumpton, Ben M. ; Lee, Yungling L. ; Kalayci, Ömer</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3530-3e1b38656d705907cd8ac2585e3bf55a87cf3cc293669e288141d9a40211b82f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Asthma</topic><topic>Asthma - complications</topic><topic>Asthma - epidemiology</topic><topic>Child</topic><topic>Children</topic><topic>Childrens health</topic><topic>Cross-Sectional Studies</topic><topic>Humans</topic><topic>Mendelian Randomization Study</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Prospective Studies</topic><topic>prospective study</topic><topic>pulmonary function</topic><topic>Risk Factors</topic><topic>Sensitivity analysis</topic><topic>Sleep</topic><topic>Survival</topic><topic>Survival analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Yang‐Ching</creatorcontrib><creatorcontrib>Su, Ming‐Wei</creatorcontrib><creatorcontrib>Brumpton, Ben M.</creatorcontrib><creatorcontrib>Lee, Yungling L.</creatorcontrib><creatorcontrib>Kalayci, Ömer</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Pediatric allergy and immunology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Yang‐Ching</au><au>Su, Ming‐Wei</au><au>Brumpton, Ben M.</au><au>Lee, Yungling L.</au><au>Kalayci, Ömer</au><au>Kalayci, Ömer</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigating obesity‐related risk factors for childhood asthma</atitle><jtitle>Pediatric allergy and immunology</jtitle><addtitle>Pediatr Allergy Immunol</addtitle><date>2022-01</date><risdate>2022</risdate><volume>33</volume><issue>1</issue><spage>e13710</spage><epage>n/a</epage><pages>e13710-n/a</pages><issn>0905-6157</issn><eissn>1399-3038</eissn><abstract>Background We tested the hypothesis that multiple obesity‐related risk factors (obesity, physical activity, cardiopulmonary physical fitness, sleep‐disorder breathing (SDB), and sleep quality) are associated with childhood asthma using a Mendelian randomization (MR) design. Furthermore, we aim to investigate whether these risk factors were associated with incident asthma prospectively. Methods In total, 7069 children aged 12 from the Taiwan Children Health Study were enrolled in the current study. Cross‐sectional logistic regression, one‐sample MR, summary‐level MR sensitivity analyses, and prospective survival analyses were used to investigate each causal pathway. Results In MR analysis, three of the five risk factors (obesity, SDB, and sleep quality) were associated with asthma, with the highest effect sizes per inter‐quartile range (IQR) increase observed for sleep quality (odds ratio [OR] = 1.42; 95% confidence interval [CI]: 1.06 to 1.92) and the lowest for obesity (OR = 1.08; 95% CI: 1.00–1.16). In the prospective survival analysis, obesity showed the highest risk of incident asthma per IQR increase (hazard ratio [HR] = 1.28; 95% CI: 1.05 to 1.56), followed by SDB (HR = 1.18; 95% CI: 1.08 to 1.29) and sleep quality (HR = 1.10; 95% CI: 1.03 to 1.17). Conclusion Among the examined factors, the most plausible risk factors for asthma were obesity, SDB, and poor sleep quality. For the prevention of childhood asthma, relevant stakeholders should prioritize improving children's sleep quality and preventing obesity comorbidities such as SDB.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>34856028</pmid><doi>10.1111/pai.13710</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-1198-7333</orcidid><orcidid>https://orcid.org/0000-0002-0682-3716</orcidid><orcidid>https://orcid.org/0000-0002-2234-9479</orcidid><orcidid>https://orcid.org/0000-0002-3058-1059</orcidid></addata></record>
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subjects Asthma
Asthma - complications
Asthma - epidemiology
Child
Children
Childrens health
Cross-Sectional Studies
Humans
Mendelian Randomization Study
Obesity
Obesity - epidemiology
Physical activity
Physical fitness
Prospective Studies
prospective study
pulmonary function
Risk Factors
Sensitivity analysis
Sleep
Survival
Survival analysis
title Investigating obesity‐related risk factors for childhood asthma
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