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Spatio-temporal associations of air pollutant concentrations, GP respiratory consultations and respiratory inhaler prescriptions: a 5-year study of primary care in the borough of Lambeth, South London
Although the associations of outdoor air pollution exposure with mortality and hospital admissions are well established, few previous studies have reported on primary care clinical and prescribing data. We assessed the associations of short and long-term pollutant exposures with General Practitioner...
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Published in: | Environmental health 2021-05, Vol.20 (1), p.54-13, Article 54 |
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description | Although the associations of outdoor air pollution exposure with mortality and hospital admissions are well established, few previous studies have reported on primary care clinical and prescribing data. We assessed the associations of short and long-term pollutant exposures with General Practitioner respiratory consultations and inhaler prescriptions.
Daily primary care data, for 2009-2013, were obtained from Lambeth DataNet (LDN), an anonymised dataset containing coded data from all patients (1.2 million) registered at general practices in Lambeth, an inner-city south London borough. Counts of respiratory consultations and inhaler prescriptions by day and Lower Super Output Area (LSOA) of residence were constructed. We developed models for predicting daily PM
, PM
, NO
and O
per LSOA. We used spatio-temporal mixed effects zero inflated negative binomial models to investigate the simultaneous short- and long-term effects of exposure to pollutants on the number of events.
The mean concentrations of NO
, PM
, PM
and O
over the study period were 50.7, 21.2, 15.6, and 49.9 μg/m
respectively, with all pollutants except NO
having much larger temporal rather than spatial variability. Following short-term exposure increases to PM
, NO
and PM
the number of consultations and inhaler prescriptions were found to increase, especially for PM
exposure in children which was associated with increases in daily respiratory consultations of 3.4% and inhaler prescriptions of 0.8%, per PM
interquartile range (IQR) increase. Associations further increased after adjustment for weekly average exposures, rising to 6.1 and 1.2%, respectively, for weekly average PM
exposure. In contrast, a short-term increase in O
exposure was associated with decreased number of respiratory consultations. No association was found between long-term exposures to PM
, PM
and NO
and number of respiratory consultations. Long-term exposure to NO
was associated with an increase (8%) in preventer inhaler prescriptions only.
We found increases in the daily number of GP respiratory consultations and inhaler prescriptions following short-term increases in exposure to NO
, PM
and PM
. These associations are more pronounced in children and persist for at least a week. The association with long term exposure to NO
and preventer inhaler prescriptions indicates likely increased chronic respiratory morbidity. |
doi_str_mv | 10.1186/s12940-021-00730-1 |
format | article |
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Daily primary care data, for 2009-2013, were obtained from Lambeth DataNet (LDN), an anonymised dataset containing coded data from all patients (1.2 million) registered at general practices in Lambeth, an inner-city south London borough. Counts of respiratory consultations and inhaler prescriptions by day and Lower Super Output Area (LSOA) of residence were constructed. We developed models for predicting daily PM
, PM
, NO
and O
per LSOA. We used spatio-temporal mixed effects zero inflated negative binomial models to investigate the simultaneous short- and long-term effects of exposure to pollutants on the number of events.
The mean concentrations of NO
, PM
, PM
and O
over the study period were 50.7, 21.2, 15.6, and 49.9 μg/m
respectively, with all pollutants except NO
having much larger temporal rather than spatial variability. Following short-term exposure increases to PM
, NO
and PM
the number of consultations and inhaler prescriptions were found to increase, especially for PM
exposure in children which was associated with increases in daily respiratory consultations of 3.4% and inhaler prescriptions of 0.8%, per PM
interquartile range (IQR) increase. Associations further increased after adjustment for weekly average exposures, rising to 6.1 and 1.2%, respectively, for weekly average PM
exposure. In contrast, a short-term increase in O
exposure was associated with decreased number of respiratory consultations. No association was found between long-term exposures to PM
, PM
and NO
and number of respiratory consultations. Long-term exposure to NO
was associated with an increase (8%) in preventer inhaler prescriptions only.
We found increases in the daily number of GP respiratory consultations and inhaler prescriptions following short-term increases in exposure to NO
, PM
and PM
. These associations are more pronounced in children and persist for at least a week. The association with long term exposure to NO
and preventer inhaler prescriptions indicates likely increased chronic respiratory morbidity.</description><identifier>ISSN: 1476-069X</identifier><identifier>EISSN: 1476-069X</identifier><identifier>DOI: 10.1186/s12940-021-00730-1</identifier><identifier>PMID: 33962646</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adolescent ; Adult ; Age groups ; Aged ; Air pollutants ; Air Pollutants - analysis ; Air pollution ; Asthma ; Child ; Child, Preschool ; Children ; Chronic obstructive pulmonary disease ; COPD ; Demographic aspects ; Diagnosis ; Dosage and administration ; Drug therapy ; Environmental health ; Estimates ; Exposure ; Forecasts and trends ; General Practitioners ; Health aspects ; Health care ; Humans ; Infant ; Infant, Newborn ; Inhalation Exposure ; Inhaler prescription ; Inhalers ; London ; Long-term effects ; Middle Aged ; Models, Statistical ; Morbidity ; Nebulizers and Vaporizers - statistics & numerical data ; Nitrogen dioxide ; Nitrogen Dioxide - analysis ; Office Visits - statistics & numerical data ; Outdoor air quality ; Ozone - analysis ; Particulate matter ; Particulate Matter - analysis ; Pollutants ; Population ; Prescriptions ; Prescriptions - statistics & numerical data ; Primary care ; Primary Health Care ; Respiratory illness ; Respiratory tract diseases ; Respiratory Tract Diseases - diagnosis ; Respiratory Tract Diseases - drug therapy ; Risk factors ; Variables ; Young Adult</subject><ispartof>Environmental health, 2021-05, Vol.20 (1), p.54-13, Article 54</ispartof><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c563t-1a44983014c567a652292e422d828cf344d5d09742674a821fc5f4e01ccfdd113</citedby><cites>FETCH-LOGICAL-c563t-1a44983014c567a652292e422d828cf344d5d09742674a821fc5f4e01ccfdd113</cites><orcidid>0000-0001-6514-9904</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105918/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2528905447?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,25734,27905,27906,36993,44571,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33962646$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ashworth, Mark</creatorcontrib><creatorcontrib>Analitis, Antonis</creatorcontrib><creatorcontrib>Whitney, David</creatorcontrib><creatorcontrib>Samoli, Evangelia</creatorcontrib><creatorcontrib>Zafeiratou, Sofia</creatorcontrib><creatorcontrib>Atkinson, Richard</creatorcontrib><creatorcontrib>Dimakopoulou, Konstantina</creatorcontrib><creatorcontrib>Beavers, Sean</creatorcontrib><creatorcontrib>Schwartz, Joel</creatorcontrib><creatorcontrib>Katsouyanni, Klea</creatorcontrib><creatorcontrib>STEAM project research group</creatorcontrib><creatorcontrib>on behalf of the STEAM project research group</creatorcontrib><title>Spatio-temporal associations of air pollutant concentrations, GP respiratory consultations and respiratory inhaler prescriptions: a 5-year study of primary care in the borough of Lambeth, South London</title><title>Environmental health</title><addtitle>Environ Health</addtitle><description>Although the associations of outdoor air pollution exposure with mortality and hospital admissions are well established, few previous studies have reported on primary care clinical and prescribing data. We assessed the associations of short and long-term pollutant exposures with General Practitioner respiratory consultations and inhaler prescriptions.
Daily primary care data, for 2009-2013, were obtained from Lambeth DataNet (LDN), an anonymised dataset containing coded data from all patients (1.2 million) registered at general practices in Lambeth, an inner-city south London borough. Counts of respiratory consultations and inhaler prescriptions by day and Lower Super Output Area (LSOA) of residence were constructed. We developed models for predicting daily PM
, PM
, NO
and O
per LSOA. We used spatio-temporal mixed effects zero inflated negative binomial models to investigate the simultaneous short- and long-term effects of exposure to pollutants on the number of events.
The mean concentrations of NO
, PM
, PM
and O
over the study period were 50.7, 21.2, 15.6, and 49.9 μg/m
respectively, with all pollutants except NO
having much larger temporal rather than spatial variability. Following short-term exposure increases to PM
, NO
and PM
the number of consultations and inhaler prescriptions were found to increase, especially for PM
exposure in children which was associated with increases in daily respiratory consultations of 3.4% and inhaler prescriptions of 0.8%, per PM
interquartile range (IQR) increase. Associations further increased after adjustment for weekly average exposures, rising to 6.1 and 1.2%, respectively, for weekly average PM
exposure. In contrast, a short-term increase in O
exposure was associated with decreased number of respiratory consultations. No association was found between long-term exposures to PM
, PM
and NO
and number of respiratory consultations. Long-term exposure to NO
was associated with an increase (8%) in preventer inhaler prescriptions only.
We found increases in the daily number of GP respiratory consultations and inhaler prescriptions following short-term increases in exposure to NO
, PM
and PM
. These associations are more pronounced in children and persist for at least a week. The association with long term exposure to NO
and preventer inhaler prescriptions indicates likely increased chronic respiratory morbidity.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age groups</subject><subject>Aged</subject><subject>Air pollutants</subject><subject>Air Pollutants - analysis</subject><subject>Air pollution</subject><subject>Asthma</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Chronic obstructive pulmonary disease</subject><subject>COPD</subject><subject>Demographic aspects</subject><subject>Diagnosis</subject><subject>Dosage and administration</subject><subject>Drug therapy</subject><subject>Environmental health</subject><subject>Estimates</subject><subject>Exposure</subject><subject>Forecasts and trends</subject><subject>General Practitioners</subject><subject>Health aspects</subject><subject>Health care</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Inhalation Exposure</subject><subject>Inhaler prescription</subject><subject>Inhalers</subject><subject>London</subject><subject>Long-term effects</subject><subject>Middle Aged</subject><subject>Models, Statistical</subject><subject>Morbidity</subject><subject>Nebulizers and Vaporizers - statistics & numerical data</subject><subject>Nitrogen dioxide</subject><subject>Nitrogen Dioxide - analysis</subject><subject>Office Visits - statistics & numerical data</subject><subject>Outdoor air quality</subject><subject>Ozone - analysis</subject><subject>Particulate matter</subject><subject>Particulate Matter - analysis</subject><subject>Pollutants</subject><subject>Population</subject><subject>Prescriptions</subject><subject>Prescriptions - statistics & numerical data</subject><subject>Primary care</subject><subject>Primary Health Care</subject><subject>Respiratory illness</subject><subject>Respiratory tract diseases</subject><subject>Respiratory Tract Diseases - diagnosis</subject><subject>Respiratory Tract Diseases - drug therapy</subject><subject>Risk factors</subject><subject>Variables</subject><subject>Young 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associations of air pollutant concentrations, GP respiratory consultations and respiratory inhaler prescriptions: a 5-year study of primary care in the borough of Lambeth, South London</title><author>Ashworth, Mark ; Analitis, Antonis ; Whitney, David ; Samoli, Evangelia ; Zafeiratou, Sofia ; Atkinson, Richard ; Dimakopoulou, Konstantina ; Beavers, Sean ; Schwartz, Joel ; Katsouyanni, Klea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c563t-1a44983014c567a652292e422d828cf344d5d09742674a821fc5f4e01ccfdd113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age groups</topic><topic>Aged</topic><topic>Air pollutants</topic><topic>Air Pollutants - analysis</topic><topic>Air pollution</topic><topic>Asthma</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Chronic obstructive pulmonary disease</topic><topic>COPD</topic><topic>Demographic aspects</topic><topic>Diagnosis</topic><topic>Dosage and administration</topic><topic>Drug therapy</topic><topic>Environmental health</topic><topic>Estimates</topic><topic>Exposure</topic><topic>Forecasts and trends</topic><topic>General Practitioners</topic><topic>Health aspects</topic><topic>Health care</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Inhalation Exposure</topic><topic>Inhaler prescription</topic><topic>Inhalers</topic><topic>London</topic><topic>Long-term effects</topic><topic>Middle Aged</topic><topic>Models, Statistical</topic><topic>Morbidity</topic><topic>Nebulizers and Vaporizers - statistics & numerical data</topic><topic>Nitrogen dioxide</topic><topic>Nitrogen Dioxide - analysis</topic><topic>Office Visits - statistics & numerical data</topic><topic>Outdoor air quality</topic><topic>Ozone - analysis</topic><topic>Particulate matter</topic><topic>Particulate Matter - analysis</topic><topic>Pollutants</topic><topic>Population</topic><topic>Prescriptions</topic><topic>Prescriptions - statistics & numerical data</topic><topic>Primary care</topic><topic>Primary Health Care</topic><topic>Respiratory illness</topic><topic>Respiratory tract diseases</topic><topic>Respiratory Tract Diseases - diagnosis</topic><topic>Respiratory Tract Diseases - drug therapy</topic><topic>Risk factors</topic><topic>Variables</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ashworth, Mark</creatorcontrib><creatorcontrib>Analitis, Antonis</creatorcontrib><creatorcontrib>Whitney, David</creatorcontrib><creatorcontrib>Samoli, Evangelia</creatorcontrib><creatorcontrib>Zafeiratou, Sofia</creatorcontrib><creatorcontrib>Atkinson, Richard</creatorcontrib><creatorcontrib>Dimakopoulou, Konstantina</creatorcontrib><creatorcontrib>Beavers, Sean</creatorcontrib><creatorcontrib>Schwartz, 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ashworth, Mark</au><au>Analitis, Antonis</au><au>Whitney, David</au><au>Samoli, Evangelia</au><au>Zafeiratou, Sofia</au><au>Atkinson, Richard</au><au>Dimakopoulou, Konstantina</au><au>Beavers, Sean</au><au>Schwartz, Joel</au><au>Katsouyanni, Klea</au><aucorp>STEAM project research group</aucorp><aucorp>on behalf of the STEAM project research group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatio-temporal associations of air pollutant concentrations, GP respiratory consultations and respiratory inhaler prescriptions: a 5-year study of primary care in the borough of Lambeth, South London</atitle><jtitle>Environmental health</jtitle><addtitle>Environ Health</addtitle><date>2021-05-07</date><risdate>2021</risdate><volume>20</volume><issue>1</issue><spage>54</spage><epage>13</epage><pages>54-13</pages><artnum>54</artnum><issn>1476-069X</issn><eissn>1476-069X</eissn><abstract>Although the associations of outdoor air pollution exposure with mortality and hospital admissions are well established, few previous studies have reported on primary care clinical and prescribing data. We assessed the associations of short and long-term pollutant exposures with General Practitioner respiratory consultations and inhaler prescriptions.
Daily primary care data, for 2009-2013, were obtained from Lambeth DataNet (LDN), an anonymised dataset containing coded data from all patients (1.2 million) registered at general practices in Lambeth, an inner-city south London borough. Counts of respiratory consultations and inhaler prescriptions by day and Lower Super Output Area (LSOA) of residence were constructed. We developed models for predicting daily PM
, PM
, NO
and O
per LSOA. We used spatio-temporal mixed effects zero inflated negative binomial models to investigate the simultaneous short- and long-term effects of exposure to pollutants on the number of events.
The mean concentrations of NO
, PM
, PM
and O
over the study period were 50.7, 21.2, 15.6, and 49.9 μg/m
respectively, with all pollutants except NO
having much larger temporal rather than spatial variability. Following short-term exposure increases to PM
, NO
and PM
the number of consultations and inhaler prescriptions were found to increase, especially for PM
exposure in children which was associated with increases in daily respiratory consultations of 3.4% and inhaler prescriptions of 0.8%, per PM
interquartile range (IQR) increase. Associations further increased after adjustment for weekly average exposures, rising to 6.1 and 1.2%, respectively, for weekly average PM
exposure. In contrast, a short-term increase in O
exposure was associated with decreased number of respiratory consultations. No association was found between long-term exposures to PM
, PM
and NO
and number of respiratory consultations. Long-term exposure to NO
was associated with an increase (8%) in preventer inhaler prescriptions only.
We found increases in the daily number of GP respiratory consultations and inhaler prescriptions following short-term increases in exposure to NO
, PM
and PM
. These associations are more pronounced in children and persist for at least a week. The association with long term exposure to NO
and preventer inhaler prescriptions indicates likely increased chronic respiratory morbidity.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>33962646</pmid><doi>10.1186/s12940-021-00730-1</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-6514-9904</orcidid><oa>free_for_read</oa></addata></record> |
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ispartof | Environmental health, 2021-05, Vol.20 (1), p.54-13, Article 54 |
issn | 1476-069X 1476-069X |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_3a6eacdd36974d9caaa305f5a668c3b7 |
source | Publicly Available Content Database; PubMed Central |
subjects | Adolescent Adult Age groups Aged Air pollutants Air Pollutants - analysis Air pollution Asthma Child Child, Preschool Children Chronic obstructive pulmonary disease COPD Demographic aspects Diagnosis Dosage and administration Drug therapy Environmental health Estimates Exposure Forecasts and trends General Practitioners Health aspects Health care Humans Infant Infant, Newborn Inhalation Exposure Inhaler prescription Inhalers London Long-term effects Middle Aged Models, Statistical Morbidity Nebulizers and Vaporizers - statistics & numerical data Nitrogen dioxide Nitrogen Dioxide - analysis Office Visits - statistics & numerical data Outdoor air quality Ozone - analysis Particulate matter Particulate Matter - analysis Pollutants Population Prescriptions Prescriptions - statistics & numerical data Primary care Primary Health Care Respiratory illness Respiratory tract diseases Respiratory Tract Diseases - diagnosis Respiratory Tract Diseases - drug therapy Risk factors Variables Young Adult |
title | Spatio-temporal associations of air pollutant concentrations, GP respiratory consultations and respiratory inhaler prescriptions: a 5-year study of primary care in the borough of Lambeth, South London |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T22%3A33%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatio-temporal%20associations%20of%20air%20pollutant%20concentrations,%20GP%20respiratory%20consultations%20and%20respiratory%20inhaler%20prescriptions:%20a%205-year%20study%20of%20primary%20care%20in%20the%20borough%20of%20Lambeth,%20South%20London&rft.jtitle=Environmental%20health&rft.au=Ashworth,%20Mark&rft.aucorp=STEAM%20project%20research%20group&rft.date=2021-05-07&rft.volume=20&rft.issue=1&rft.spage=54&rft.epage=13&rft.pages=54-13&rft.artnum=54&rft.issn=1476-069X&rft.eissn=1476-069X&rft_id=info:doi/10.1186/s12940-021-00730-1&rft_dat=%3Cgale_doaj_%3EA661436679%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c563t-1a44983014c567a652292e422d828cf344d5d09742674a821fc5f4e01ccfdd113%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2528905447&rft_id=info:pmid/33962646&rft_galeid=A661436679&rfr_iscdi=true |