Aging-related trajectories of lung function in the general population-The Doetinchem Cohort Study
The objective of this study was to explore trajectories of lung function decline with age in the general population, and to study the effect of sociodemographic and life style related risk factors, in particular smoking and BMI. For this purpose, we used data from the Doetinchem Cohort Study (DCS) o...
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| creator | van Oostrom, Sandra H Engelfriet, Peter M Verschuren, W M Monique Schipper, Maarten Wouters, Inge M Boezen, Marike Smit, Henriëtte A Kerstjens, Huib A M Picavet, H Susan J |
| description | The objective of this study was to explore trajectories of lung function decline with age in the general population, and to study the effect of sociodemographic and life style related risk factors, in particular smoking and BMI. For this purpose, we used data from the Doetinchem Cohort Study (DCS) of men and women, selected randomly from the general population and aged 20-59 years at inclusion in 1987-1991, and followed until the present. Participants in the DCS are assessed every five years. Spirometry has been performed as part of this assessment from 1994 onwards. Participants were included in this study if spirometric measurement of FEV1, which in this study was the main parameter of interest, was acceptable and reproducible on at least one measurement round, leading to the inclusion of 5727 individuals (3008 females). Statistical analysis revealed three typical trajectories. The majority of participants followed a trajectory that closely adhered to the Global Lung Initiative Reference values (94.9% of men and 96.4% of women). Two other trajectories showed a more pronounced decline. Smoking and the presence of respiratory complaints were the best predictors of a trajectory with stronger decline. A greater BMI over the follow-up period was associated with a more unfavorable FEV1 course both in men (β = -0.027 (SD = 0.002); P < 0.001) and in women (β = -0.008 (SD = 0.001); P < 0.001). Smokers at baseline who quit the habit during follow-up, showed smaller decline in FEV1 in comparison to persistent smokers, independent of BMI change (In men β = -0.074 (SD = 0.020); P < 0.001. In women β = -0.277 (SD = 0.068); P < 0.001). In conclusion, three typical trajectories of age-related FEV1 decline could be distinguished. Change in the lifestyle related risk factors, BMI and smoking, significantly impact aging-related decline of lung function. Identifying deviant trajectories may help in early recognition of those at risk of a diagnosis of lung disease later in life. |
| doi_str_mv | 10.1371/journal.pone.0197250 |
| format | Article |
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For this purpose, we used data from the Doetinchem Cohort Study (DCS) of men and women, selected randomly from the general population and aged 20-59 years at inclusion in 1987-1991, and followed until the present. Participants in the DCS are assessed every five years. Spirometry has been performed as part of this assessment from 1994 onwards. Participants were included in this study if spirometric measurement of FEV1, which in this study was the main parameter of interest, was acceptable and reproducible on at least one measurement round, leading to the inclusion of 5727 individuals (3008 females). Statistical analysis revealed three typical trajectories. The majority of participants followed a trajectory that closely adhered to the Global Lung Initiative Reference values (94.9% of men and 96.4% of women). Two other trajectories showed a more pronounced decline. Smoking and the presence of respiratory complaints were the best predictors of a trajectory with stronger decline. A greater BMI over the follow-up period was associated with a more unfavorable FEV1 course both in men (β = -0.027 (SD = 0.002); P < 0.001) and in women (β = -0.008 (SD = 0.001); P < 0.001). Smokers at baseline who quit the habit during follow-up, showed smaller decline in FEV1 in comparison to persistent smokers, independent of BMI change (In men β = -0.074 (SD = 0.020); P < 0.001. In women β = -0.277 (SD = 0.068); P < 0.001). In conclusion, three typical trajectories of age-related FEV1 decline could be distinguished. Change in the lifestyle related risk factors, BMI and smoking, significantly impact aging-related decline of lung function. 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This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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A greater BMI over the follow-up period was associated with a more unfavorable FEV1 course both in men (β = -0.027 (SD = 0.002); P < 0.001) and in women (β = -0.008 (SD = 0.001); P < 0.001). Smokers at baseline who quit the habit during follow-up, showed smaller decline in FEV1 in comparison to persistent smokers, independent of BMI change (In men β = -0.074 (SD = 0.020); P < 0.001. In women β = -0.277 (SD = 0.068); P < 0.001). In conclusion, three typical trajectories of age-related FEV1 decline could be distinguished. Change in the lifestyle related risk factors, BMI and smoking, significantly impact aging-related decline of lung function. Identifying deviant trajectories may help in early recognition of those at risk of a diagnosis of lung disease later in life.</description><subject>Adult</subject><subject>Aged</subject><subject>Aging</subject><subject>Aging (Biology)</subject><subject>Aging - physiology</subject><subject>Analysis</subject><subject>Asthma</subject><subject>Biology and Life Sciences</subject><subject>Body Mass Index</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Lung - physiology</subject><subject>Lung - physiopathology</subject><subject>Lung diseases</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Netherlands</subject><subject>Research and Analysis Methods</subject><subject>Respiration Disorders - physiopathology</subject><subject>Respiratory function</subject><subject>Risk factors</subject><subject>Smoking - physiopathology</subject><subject>Smoking Cessation</subject><subject>Spirometry</subject><subject>Statistical analysis</subject><subject>Trajectories (Physics)</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLguhFxyRt2uZGGMavgYUFd_U2pOlpmyGTzCapuP_e1OkuW9kLyUXDyfO-6Tk5J0leYrTCeYU_7OzojNCrgzWwQphVhKJHySlmOclKgvLH9_YnyTPvdwjRvC7Lp8kJYVVZU8ROE7HulekzB1oEaNPgxA5ksE6BT22X6tH0aTcaGZQ1qTJpGCDtwYATOj3Ywxhl8SS7iuFPFoIycoB9urGDdSG9DGN78zx50gnt4cX8PUt-fPl8tfmWnV983W7W55ksGQkZE7hjdQUFxaIEWeO8bRuBGGuaHBCuqlo0qMWophiRtkVlhxkuBa2pjOUo8_wseX30PWjr-Vwdz2P2rC5IgSZieyRaK3b84NReuBtuheJ_A9b1XLigpAYebXMEFBeCFQUlQgiSEwysIU3H2gKi18f5trHZQyvBxNLphenyxKiB9_YXp4zS6B0N3s0Gzl6P4APfKy9Ba2HAjtN_F6iqECqriL75B304u5nqRUxAmc7Ge-Vkytfx3RklJa4jtXqAiquFvZKxlToV4wvB-4UgMgF-h16M3vPt5ff_Zy9-Ltm399gBhA6Dt3qc2skvweIISme9d9DdFRkjPk3CbTX4NAl8noQoe3X_ge5Et62f_wHvngLP</recordid><startdate>20180516</startdate><enddate>20180516</enddate><creator>van Oostrom, Sandra H</creator><creator>Engelfriet, Peter M</creator><creator>Verschuren, W M Monique</creator><creator>Schipper, Maarten</creator><creator>Wouters, Inge M</creator><creator>Boezen, Marike</creator><creator>Smit, Henriëtte A</creator><creator>Kerstjens, Huib A M</creator><creator>Picavet, H Susan J</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7221-3599</orcidid></search><sort><creationdate>20180516</creationdate><title>Aging-related trajectories of lung function in the general population-The Doetinchem Cohort Study</title><author>van Oostrom, Sandra H ; Engelfriet, Peter M ; Verschuren, W M Monique ; Schipper, Maarten ; Wouters, Inge M ; Boezen, Marike ; Smit, Henriëtte A ; Kerstjens, Huib A M ; Picavet, H Susan J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-9a1f987e451a6ec813ddba099bb3e01778ab0d1085102dd06f1916a585c137633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aging</topic><topic>Aging (Biology)</topic><topic>Aging - 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For this purpose, we used data from the Doetinchem Cohort Study (DCS) of men and women, selected randomly from the general population and aged 20-59 years at inclusion in 1987-1991, and followed until the present. Participants in the DCS are assessed every five years. Spirometry has been performed as part of this assessment from 1994 onwards. Participants were included in this study if spirometric measurement of FEV1, which in this study was the main parameter of interest, was acceptable and reproducible on at least one measurement round, leading to the inclusion of 5727 individuals (3008 females). Statistical analysis revealed three typical trajectories. The majority of participants followed a trajectory that closely adhered to the Global Lung Initiative Reference values (94.9% of men and 96.4% of women). Two other trajectories showed a more pronounced decline. Smoking and the presence of respiratory complaints were the best predictors of a trajectory with stronger decline. A greater BMI over the follow-up period was associated with a more unfavorable FEV1 course both in men (β = -0.027 (SD = 0.002); P < 0.001) and in women (β = -0.008 (SD = 0.001); P < 0.001). Smokers at baseline who quit the habit during follow-up, showed smaller decline in FEV1 in comparison to persistent smokers, independent of BMI change (In men β = -0.074 (SD = 0.020); P < 0.001. In women β = -0.277 (SD = 0.068); P < 0.001). In conclusion, three typical trajectories of age-related FEV1 decline could be distinguished. Change in the lifestyle related risk factors, BMI and smoking, significantly impact aging-related decline of lung function. Identifying deviant trajectories may help in early recognition of those at risk of a diagnosis of lung disease later in life.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29768509</pmid><doi>10.1371/journal.pone.0197250</doi><tpages>e0197250</tpages><orcidid>https://orcid.org/0000-0001-7221-3599</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Aged Aging Aging (Biology) Aging - physiology Analysis Asthma Biology and Life Sciences Body Mass Index Cohort analysis Cohort Studies Female Humans Lung - physiology Lung - physiopathology Lung diseases Male Medicine and Health Sciences Middle Aged Netherlands Research and Analysis Methods Respiration Disorders - physiopathology Respiratory function Risk factors Smoking - physiopathology Smoking Cessation Spirometry Statistical analysis Trajectories (Physics) Young Adult |
| title | Aging-related trajectories of lung function in the general population-The Doetinchem Cohort Study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T23%3A41%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Aging-related%20trajectories%20of%20lung%20function%20in%20the%20general%20population-The%20Doetinchem%20Cohort%20Study&rft.jtitle=PloS%20one&rft.au=van%20Oostrom,%20Sandra%20H&rft.date=2018-05-16&rft.volume=13&rft.issue=5&rft.spage=e0197250&rft.epage=e0197250&rft.pages=e0197250-e0197250&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0197250&rft_dat=%3Cgale_plos_%3EA538952618%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2039842403&rft_id=info:pmid/29768509&rft_galeid=A538952618&rft_doaj_id=oai_doaj_org_article_58530e514a94452aaa2321e9b2bf9d4e&rfr_iscdi=true |