Association between PM10 and respiratory diseases admission in Peninsular Malaysia during the haze

Association between PM10 and respiratory diseases admission in Peninsular Malaysia during the haze | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Association between PM10 and respiratory diseases admission in Peninsular Malaysia during the haze Siti Wafiah Hanin Mohd Zulkifli, Humaida Banu Samsudin, Noriza Majid This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3037064/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 09 Sep, 2024 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract Numerous studies have been conducted in other countries on the health effects of exposure to particulate matter with a diameter of 10 microns or less PM10 , but little research has been conducted in Malaysia, particularly during the haze season. This study intends to investigate how exposure of PM10 influenced hospital admissions for respiratory diseases during the haze period in peninsular Malaysia and it was further stratified by age group, gender and respiratory diseases categories. The study includes data from all patients with respiratory diseases in government hospitals, as well as PM10 concentration and meteorological data from all monitoring stations in peninsular Malaysia starting from 1st January 2000 to 31st December 2019. A quasi-poison time series regression with distributed lag nonlinear model (DLNM) was employed in this study to examine the relationship between exposure of PM10 and hospital admissions for respiratory diseases during the haze period. According to the findings of this study, PM10 was positively associated with respiratory disease admissions within 30 lag days under various lag patterns, with lag 25 showing the strongest association (RR = 1.001742,CI : 1.001029,1.002456). Using median as a reference, it was discovered that females were more likely than males to be hospitalized for PM10 exposure. Working age group will be the most affected by the increase in PM10 exposure with a significant cumulative RR from lag 010 to lag 030. The study found that PM10 had a significant influence on respiratory hospitalisation in peninsular Malaysia, particularly for lung diseases caused by external agents(CD5). Therefore, it is important to implement effective intervention measures to control PM10 and reduce the burden of respiratory disease admissions Earth and environmental sciences/Environmental sciences Health sciences/Diseases Health sciences/Medical research Health sciences/Risk factors Physical sciences/Mathematics and computing Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryMaterial.pdf Cite Share Download PDF Status: Published Journal Publication published 09 Sep, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Major revision 08 Sep, 2023 Reviews received at journal 07 Sep, 2023 Reviews received at journal 06 Aug, 2023 Reviewers agreed at journal 27 Jul, 2023 Reviewers agreed at journal 26 Jul, 2023 Reviewers invited by journal 12 Jul, 2023 Editor assigned by journal 12 Jul, 2023 Editor invited by journal 21 Jun, 2023 Submission checks completed at journal 21 Jun, 2023 First submitted to journal 08 Jun, 2023 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3037064","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":212020793,"identity":"e4d178da-f41e-48c0-943f-1ecb8d4586b7","order_by":0,"name":"Siti Wafiah Hanin Mohd Zulkifli","email":"","orcid":"","institution":"National University of Malaysia","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Siti","middleName":"Wafiah Hanin Mohd","lastName":"Zulkifli","suffix":""},{"id":212020796,"identity":"55c070f6-3fc1-434a-abe1-0b1a3b799997","order_by":1,"name":"Humaida Banu Samsudin","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVRIiWNgGAWjYBACAxCRwMYgx8ADYrGRoMWYRC1AlYkNRGsxl8hO/PCgzC59w5nTCQwfyg4z6M5IwK/FckbuZomEc8m5G872bmCcce4wg9kNAloMbuRukEhsY87dcJ53AzNvG3FaNv9IbKtPNwBp+Uuklm1AWw4nGAAdxsxIlJYzb7dZJJw7bjjzzNkNB3vOpfOYnXlAQMvx3M03f5RVy/Odyd344EeZtZzZcQK2oIADQMzDIECKFgjgP0CyllEwCkbBKBjeAABZm0ymUrbt2QAAAABJRU5ErkJggg==","orcid":"","institution":"National University of Malaysia","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Humaida","middleName":"Banu","lastName":"Samsudin","suffix":""},{"id":212020799,"identity":"93866963-617d-4379-b89c-e07e210a3d75","order_by":2,"name":"Noriza Majid","email":"","orcid":"","institution":"National University of Malaysia","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Noriza","middleName":"","lastName":"Majid","suffix":""}],"badges":[],"createdAt":"2023-06-08 05:59:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3037064/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3037064/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-024-63591-x","type":"published","date":"2024-09-09T15:57:50+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":64619155,"identity":"a9558bf8-73a3-496b-b937-c873d309616a","added_by":"auto","created_at":"2024-09-16 16:12:05","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":557412,"visible":true,"origin":"","legend":"","description":"","filename":"AmmendmentScientificReport.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3037064/v1_covered_9ffd9259-953e-4ab9-acd1-154915f1c51d.pdf"},{"id":39049977,"identity":"54257604-e579-4d67-b63d-3708e4e2ddae","added_by":"auto","created_at":"2023-06-26 03:22:32","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":187719,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryMaterial.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3037064/v1/5a172a838bb6e52ca6ff5a9d.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Association between PM10 and respiratory diseases admission in Peninsular Malaysia during the haze","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-3037064/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3037064/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Numerous studies have been conducted in other countries on the health effects of exposure to particulate matter with a diameter of 10 microns or less PM10 , but little research has been conducted in Malaysia, particularly during the haze season. This study intends to investigate how exposure of PM10 influenced hospital admissions for respiratory diseases during the haze period in peninsular Malaysia and it was further stratified by age group, gender and respiratory diseases categories. The study includes data from all patients with respiratory diseases in government hospitals, as well as PM10 concentration and meteorological data from all monitoring stations in peninsular Malaysia starting from 1st January 2000 to 31st December 2019. A quasi-poison time series regression with distributed lag nonlinear model (DLNM) was employed in this study to examine the relationship between exposure of PM10 and hospital admissions for respiratory diseases during the haze period. According to the findings of this study, PM10 was positively associated with respiratory disease admissions within 30 lag days under various lag patterns, with lag 25 showing the strongest association (RR = 1.001742,CI : 1.001029,1.002456). 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