Subtypes of Adult-Onset Asthma at the Time of Diagnosis: A Latent Class Analysis
Only a few previous studies have investigated the subtypes of adult-onset asthma. No previous study has assessed whether these subtypes are different between men and women, or whether these subtypes have different risk factors. We applied latent class analyses to the Finnish Environment and Asthma S...
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| Veröffentlicht in: | International journal of environmental research and public health 2023-02, Vol.20 (4), p.3072 |
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| description | Only a few previous studies have investigated the subtypes of adult-onset asthma. No previous study has assessed whether these subtypes are different between men and women, or whether these subtypes have different risk factors.
We applied latent class analyses to the Finnish Environment and Asthma Study population, including 520 new cases of adult-onset asthma. We formed subtypes separately between women and men and analyzed the following determinants as potential predictors for these subtypes: age, body mass index, smoking, and parental asthma.
Among women, the subtypes identified were: 1.
, 2.
, 3.
, 4.
, and 5.
. Among men, the subtypes were: 1.
, 2.
, 3.
, and 4.
. Three of the subtypes were similar among women and men:
, and
. In addition, women had two distinct subtypes:
, and
. These subtypes had different risk factor profiles, e.g., heredity was important for
and
(RR for Both parents having asthma in Eosinophilic 3.55 (1.09 to 11.62)). Furthermore, smoking increased the risk of
among women (RR for former smoking 2.21 (1.19 to 4.11)) and
among men but had little influence on
or
Conclusion: This is an original investigation of the subtypes of adult-onset asthma identified at the time of diagnosis. These subtypes differ between women and men, and these subtypes have different risk factor profiles. These findings have both clinical and public health importance for the etiology, prognosis, and treatment of adult-onset asthma. |
| doi_str_mv | 10.3390/ijerph20043072 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9958800</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A751915880</galeid><sourcerecordid>A751915880</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4002-3741a3af29b7c3bfcfad2ed40907704ea966e7cbf9c4c98c36d23a92d230c4663</originalsourceid><addsrcrecordid>eNptkt9rHCEQxyW0NMk1r3ksQl_ysqmrnq59CCzX9AccpNDkWVx3vPPYXS-rG7j_vi5N06QEQQfnM99xxkHovCSXjCnyye9g3G8pIZwRSY_QSSkEKbgg5Ztn9jE6jXFHCKu4UO_QMRMVY1LIE_Tz19Skwx4iDg7X7dSl4maIkHAd07Y32CSctoBvfQ8z8cWbzRCij59xjdcmwZDwqjMx4now3SE73qO3znQRzh7PBbr7en27-l6sb779WNXrwnJCaMEkLw0zjqpGWtY460xLoeVEESkJB6OEAGkbpyy3qrJMtJQZRfNOLBeCLdDVH9391PTQ2vyS0XR6P_rejAcdjNcvPYPf6k140Eotqyq3YoEuHgXGcD9BTLr30ULXmQHCFDWVmRK8ImVGP_6H7sI05oJnSqqlWFLJ_1Eb04H2gws5r51FdS2XpSrnvJm6fIXKq4Xe2zCA8_n-tQA7hhhHcE81lkTPM6BfzkAO-PC8M0_4309nvwEae6uZ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2779565274</pqid></control><display><type>article</type><title>Subtypes of Adult-Onset Asthma at the Time of Diagnosis: A Latent Class Analysis</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>PubMed Central Open Access</source><creator>Mäkikyrö, Elina M S ; Jaakkola, Maritta S ; Lajunen, Taina K ; Malmberg, L Pekka ; Jaakkola, Jouni J K</creator><creatorcontrib>Mäkikyrö, Elina M S ; Jaakkola, Maritta S ; Lajunen, Taina K ; Malmberg, L Pekka ; Jaakkola, Jouni J K</creatorcontrib><description>Only a few previous studies have investigated the subtypes of adult-onset asthma. No previous study has assessed whether these subtypes are different between men and women, or whether these subtypes have different risk factors.
We applied latent class analyses to the Finnish Environment and Asthma Study population, including 520 new cases of adult-onset asthma. We formed subtypes separately between women and men and analyzed the following determinants as potential predictors for these subtypes: age, body mass index, smoking, and parental asthma.
Among women, the subtypes identified were: 1.
, 2.
, 3.
, 4.
, and 5.
. Among men, the subtypes were: 1.
, 2.
, 3.
, and 4.
. Three of the subtypes were similar among women and men:
, and
. In addition, women had two distinct subtypes:
, and
. These subtypes had different risk factor profiles, e.g., heredity was important for
and
(RR for Both parents having asthma in Eosinophilic 3.55 (1.09 to 11.62)). Furthermore, smoking increased the risk of
among women (RR for former smoking 2.21 (1.19 to 4.11)) and
among men but had little influence on
or
Conclusion: This is an original investigation of the subtypes of adult-onset asthma identified at the time of diagnosis. These subtypes differ between women and men, and these subtypes have different risk factor profiles. These findings have both clinical and public health importance for the etiology, prognosis, and treatment of adult-onset asthma.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph20043072</identifier><identifier>PMID: 36833767</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adults ; Airway management ; Analysis ; Asthma ; Body mass ; Body mass index ; Body size ; Cough ; Data collection ; Development and progression ; Diagnosis ; Etiology ; Heredity ; Latent class analysis ; Leukocytes (eosinophilic) ; Medical research ; Medicine, Experimental ; Parenting ; Population studies ; Public health ; Questionnaires ; Response rates ; Risk factors ; Smoking ; Spirometry ; Values ; Variables ; Womens health</subject><ispartof>International journal of environmental research and public health, 2023-02, Vol.20 (4), p.3072</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4002-3741a3af29b7c3bfcfad2ed40907704ea966e7cbf9c4c98c36d23a92d230c4663</citedby><cites>FETCH-LOGICAL-c4002-3741a3af29b7c3bfcfad2ed40907704ea966e7cbf9c4c98c36d23a92d230c4663</cites><orcidid>0000-0003-4168-4683</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/PMC9958800/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958800/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36833767$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mäkikyrö, Elina M S</creatorcontrib><creatorcontrib>Jaakkola, Maritta S</creatorcontrib><creatorcontrib>Lajunen, Taina K</creatorcontrib><creatorcontrib>Malmberg, L Pekka</creatorcontrib><creatorcontrib>Jaakkola, Jouni J K</creatorcontrib><title>Subtypes of Adult-Onset Asthma at the Time of Diagnosis: A Latent Class Analysis</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>Only a few previous studies have investigated the subtypes of adult-onset asthma. No previous study has assessed whether these subtypes are different between men and women, or whether these subtypes have different risk factors.
We applied latent class analyses to the Finnish Environment and Asthma Study population, including 520 new cases of adult-onset asthma. We formed subtypes separately between women and men and analyzed the following determinants as potential predictors for these subtypes: age, body mass index, smoking, and parental asthma.
Among women, the subtypes identified were: 1.
, 2.
, 3.
, 4.
, and 5.
. Among men, the subtypes were: 1.
, 2.
, 3.
, and 4.
. Three of the subtypes were similar among women and men:
, and
. In addition, women had two distinct subtypes:
, and
. These subtypes had different risk factor profiles, e.g., heredity was important for
and
(RR for Both parents having asthma in Eosinophilic 3.55 (1.09 to 11.62)). Furthermore, smoking increased the risk of
among women (RR for former smoking 2.21 (1.19 to 4.11)) and
among men but had little influence on
or
Conclusion: This is an original investigation of the subtypes of adult-onset asthma identified at the time of diagnosis. These subtypes differ between women and men, and these subtypes have different risk factor profiles. These findings have both clinical and public health importance for the etiology, prognosis, and treatment of adult-onset asthma.</description><subject>Adults</subject><subject>Airway management</subject><subject>Analysis</subject><subject>Asthma</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cough</subject><subject>Data collection</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Etiology</subject><subject>Heredity</subject><subject>Latent class analysis</subject><subject>Leukocytes (eosinophilic)</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Parenting</subject><subject>Population studies</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Response rates</subject><subject>Risk factors</subject><subject>Smoking</subject><subject>Spirometry</subject><subject>Values</subject><subject>Variables</subject><subject>Womens health</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptkt9rHCEQxyW0NMk1r3ksQl_ysqmrnq59CCzX9AccpNDkWVx3vPPYXS-rG7j_vi5N06QEQQfnM99xxkHovCSXjCnyye9g3G8pIZwRSY_QSSkEKbgg5Ztn9jE6jXFHCKu4UO_QMRMVY1LIE_Tz19Skwx4iDg7X7dSl4maIkHAd07Y32CSctoBvfQ8z8cWbzRCij59xjdcmwZDwqjMx4now3SE73qO3znQRzh7PBbr7en27-l6sb779WNXrwnJCaMEkLw0zjqpGWtY460xLoeVEESkJB6OEAGkbpyy3qrJMtJQZRfNOLBeCLdDVH9391PTQ2vyS0XR6P_rejAcdjNcvPYPf6k140Eotqyq3YoEuHgXGcD9BTLr30ULXmQHCFDWVmRK8ImVGP_6H7sI05oJnSqqlWFLJ_1Eb04H2gws5r51FdS2XpSrnvJm6fIXKq4Xe2zCA8_n-tQA7hhhHcE81lkTPM6BfzkAO-PC8M0_4309nvwEae6uZ</recordid><startdate>20230209</startdate><enddate>20230209</enddate><creator>Mäkikyrö, Elina M S</creator><creator>Jaakkola, Maritta S</creator><creator>Lajunen, Taina K</creator><creator>Malmberg, L Pekka</creator><creator>Jaakkola, Jouni J K</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4168-4683</orcidid></search><sort><creationdate>20230209</creationdate><title>Subtypes of Adult-Onset Asthma at the Time of Diagnosis: A Latent Class Analysis</title><author>Mäkikyrö, Elina M S ; Jaakkola, Maritta S ; Lajunen, Taina K ; Malmberg, L Pekka ; Jaakkola, Jouni J K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4002-3741a3af29b7c3bfcfad2ed40907704ea966e7cbf9c4c98c36d23a92d230c4663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adults</topic><topic>Airway management</topic><topic>Analysis</topic><topic>Asthma</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cough</topic><topic>Data collection</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>Etiology</topic><topic>Heredity</topic><topic>Latent class analysis</topic><topic>Leukocytes (eosinophilic)</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Parenting</topic><topic>Population studies</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Response rates</topic><topic>Risk factors</topic><topic>Smoking</topic><topic>Spirometry</topic><topic>Values</topic><topic>Variables</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mäkikyrö, Elina M S</creatorcontrib><creatorcontrib>Jaakkola, Maritta S</creatorcontrib><creatorcontrib>Lajunen, Taina K</creatorcontrib><creatorcontrib>Malmberg, L Pekka</creatorcontrib><creatorcontrib>Jaakkola, Jouni J K</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mäkikyrö, Elina M S</au><au>Jaakkola, Maritta S</au><au>Lajunen, Taina K</au><au>Malmberg, L Pekka</au><au>Jaakkola, Jouni J K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Subtypes of Adult-Onset Asthma at the Time of Diagnosis: A Latent Class Analysis</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2023-02-09</date><risdate>2023</risdate><volume>20</volume><issue>4</issue><spage>3072</spage><pages>3072-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>Only a few previous studies have investigated the subtypes of adult-onset asthma. No previous study has assessed whether these subtypes are different between men and women, or whether these subtypes have different risk factors.
We applied latent class analyses to the Finnish Environment and Asthma Study population, including 520 new cases of adult-onset asthma. We formed subtypes separately between women and men and analyzed the following determinants as potential predictors for these subtypes: age, body mass index, smoking, and parental asthma.
Among women, the subtypes identified were: 1.
, 2.
, 3.
, 4.
, and 5.
. Among men, the subtypes were: 1.
, 2.
, 3.
, and 4.
. Three of the subtypes were similar among women and men:
, and
. In addition, women had two distinct subtypes:
, and
. These subtypes had different risk factor profiles, e.g., heredity was important for
and
(RR for Both parents having asthma in Eosinophilic 3.55 (1.09 to 11.62)). Furthermore, smoking increased the risk of
among women (RR for former smoking 2.21 (1.19 to 4.11)) and
among men but had little influence on
or
Conclusion: This is an original investigation of the subtypes of adult-onset asthma identified at the time of diagnosis. These subtypes differ between women and men, and these subtypes have different risk factor profiles. These findings have both clinical and public health importance for the etiology, prognosis, and treatment of adult-onset asthma.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36833767</pmid><doi>10.3390/ijerph20043072</doi><orcidid>https://orcid.org/0000-0003-4168-4683</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; PubMed Central Open Access |
| subjects | Adults Airway management Analysis Asthma Body mass Body mass index Body size Cough Data collection Development and progression Diagnosis Etiology Heredity Latent class analysis Leukocytes (eosinophilic) Medical research Medicine, Experimental Parenting Population studies Public health Questionnaires Response rates Risk factors Smoking Spirometry Values Variables Womens health |
| title | Subtypes of Adult-Onset Asthma at the Time of Diagnosis: A Latent Class Analysis |
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