Restrictive spirometry pattern among construction trade workers

Background Spirometry‐based studies of occupational lung disease have mostly focused on obstructive or mixed obstructive/restrictive outcomes. We wanted to determine if restrictive spirometry pattern (RSP) is associated with occupation and increased mortality. Methods Study participants included 18,...

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Veröffentlicht in:American journal of industrial medicine 2023-06, Vol.66 (6), p.484-499
Hauptverfasser: Hines, Stella E., Dement, John, Cloeren, Marianne, Cranford, Kim, Quinn, Patricia S., Ringen, Knut
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container_end_page 499
container_issue 6
container_start_page 484
container_title American journal of industrial medicine
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creator Hines, Stella E.
Dement, John
Cloeren, Marianne
Cranford, Kim
Quinn, Patricia S.
Ringen, Knut
description Background Spirometry‐based studies of occupational lung disease have mostly focused on obstructive or mixed obstructive/restrictive outcomes. We wanted to determine if restrictive spirometry pattern (RSP) is associated with occupation and increased mortality. Methods Study participants included 18,145 workers with demographic and smoking data and repeatable spirometry. The mortality analysis cohort included 15,445 workers with known vital status and cause of death through December 31, 2016. Stratified analyses explored RSP prevalence by demographic and clinical variables and trade. Log‐binomial regression models explored RSP risk factors while controlling for important confounders such as smoking, obesity, and comorbidities. Cox regression models explored mortality risk by spirometry category. Results Prevalence of RSP was very high (28.6%). Mortality hazard ratios for RSP were 1.50 for all causes, 1.86 for cardiovascular diseases, 2.31 for respiratory diseases, and 1.66 for lung cancer. All construction trades except painters, machinists, and roofers had significantly elevated risk for RSP compared to our internal reference group. RSP was significantly associated with both parenchymal and pleural changes seen by chest X‐ray. Conclusions Construction trade workers are at significantly increased risk for RSP independent of obesity. Individuals with RSP are at increased risk for all‐cause mortality as well as mortality attributable to respiratory diseases, cardiovascular diseases, and lung cancer. RSP deserves greater attention in occupational medicine and epidemiology.
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We wanted to determine if restrictive spirometry pattern (RSP) is associated with occupation and increased mortality. Methods Study participants included 18,145 workers with demographic and smoking data and repeatable spirometry. The mortality analysis cohort included 15,445 workers with known vital status and cause of death through December 31, 2016. Stratified analyses explored RSP prevalence by demographic and clinical variables and trade. Log‐binomial regression models explored RSP risk factors while controlling for important confounders such as smoking, obesity, and comorbidities. Cox regression models explored mortality risk by spirometry category. Results Prevalence of RSP was very high (28.6%). Mortality hazard ratios for RSP were 1.50 for all causes, 1.86 for cardiovascular diseases, 2.31 for respiratory diseases, and 1.66 for lung cancer. All construction trades except painters, machinists, and roofers had significantly elevated risk for RSP compared to our internal reference group. RSP was significantly associated with both parenchymal and pleural changes seen by chest X‐ray. Conclusions Construction trade workers are at significantly increased risk for RSP independent of obesity. Individuals with RSP are at increased risk for all‐cause mortality as well as mortality attributable to respiratory diseases, cardiovascular diseases, and lung cancer. RSP deserves greater attention in occupational medicine and epidemiology.</description><identifier>ISSN: 0271-3586</identifier><identifier>EISSN: 1097-0274</identifier><identifier>DOI: 10.1002/ajim.23474</identifier><identifier>PMID: 36942569</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Cardiovascular diseases ; Cardiovascular Diseases - epidemiology ; Comorbidity ; Construction Industry ; construction trades ; Demographic variables ; Demographics ; Demography ; Epidemiology ; Humans ; Lung cancer ; Lung diseases ; Lung Neoplasms ; Mortality ; Obesity ; Obesity - epidemiology ; Occupational diseases ; parenchymal ; pleural ; Regression analysis ; Regression models ; Respiration Disorders ; Respiratory diseases ; restrictive spirometry pattern ; Risk factors ; Risk management ; Smoking ; Spirometry ; Trade ; Workers</subject><ispartof>American journal of industrial medicine, 2023-06, Vol.66 (6), p.484-499</ispartof><rights>2023 Wiley Periodicals LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3844-64b415a84cd8461ef8a563791b6cf256e759867970aaf142580a9e23602ae9033</citedby><cites>FETCH-LOGICAL-c3844-64b415a84cd8461ef8a563791b6cf256e759867970aaf142580a9e23602ae9033</cites><orcidid>0000-0003-3805-6504 ; 0000-0001-8106-6017 ; 0000-0001-5930-3768 ; 0000-0002-8350-9448 ; 0000000159303768 ; 0000000338056504 ; 0000000283509448 ; 0000000181066017</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fajim.23474$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fajim.23474$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36942569$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/1962695$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Hines, Stella E.</creatorcontrib><creatorcontrib>Dement, John</creatorcontrib><creatorcontrib>Cloeren, Marianne</creatorcontrib><creatorcontrib>Cranford, Kim</creatorcontrib><creatorcontrib>Quinn, Patricia S.</creatorcontrib><creatorcontrib>Ringen, Knut</creatorcontrib><title>Restrictive spirometry pattern among construction trade workers</title><title>American journal of industrial medicine</title><addtitle>Am J Ind Med</addtitle><description>Background Spirometry‐based studies of occupational lung disease have mostly focused on obstructive or mixed obstructive/restrictive outcomes. We wanted to determine if restrictive spirometry pattern (RSP) is associated with occupation and increased mortality. Methods Study participants included 18,145 workers with demographic and smoking data and repeatable spirometry. The mortality analysis cohort included 15,445 workers with known vital status and cause of death through December 31, 2016. Stratified analyses explored RSP prevalence by demographic and clinical variables and trade. Log‐binomial regression models explored RSP risk factors while controlling for important confounders such as smoking, obesity, and comorbidities. Cox regression models explored mortality risk by spirometry category. Results Prevalence of RSP was very high (28.6%). Mortality hazard ratios for RSP were 1.50 for all causes, 1.86 for cardiovascular diseases, 2.31 for respiratory diseases, and 1.66 for lung cancer. All construction trades except painters, machinists, and roofers had significantly elevated risk for RSP compared to our internal reference group. RSP was significantly associated with both parenchymal and pleural changes seen by chest X‐ray. Conclusions Construction trade workers are at significantly increased risk for RSP independent of obesity. Individuals with RSP are at increased risk for all‐cause mortality as well as mortality attributable to respiratory diseases, cardiovascular diseases, and lung cancer. RSP deserves greater attention in occupational medicine and epidemiology.</description><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Comorbidity</subject><subject>Construction Industry</subject><subject>construction trades</subject><subject>Demographic variables</subject><subject>Demographics</subject><subject>Demography</subject><subject>Epidemiology</subject><subject>Humans</subject><subject>Lung cancer</subject><subject>Lung diseases</subject><subject>Lung Neoplasms</subject><subject>Mortality</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Occupational diseases</subject><subject>parenchymal</subject><subject>pleural</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Respiration Disorders</subject><subject>Respiratory diseases</subject><subject>restrictive spirometry pattern</subject><subject>Risk factors</subject><subject>Risk management</subject><subject>Smoking</subject><subject>Spirometry</subject><subject>Trade</subject><subject>Workers</subject><issn>0271-3586</issn><issn>1097-0274</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp90EtLxDAUBeAgio6PjT9Aim5EqObVNFmJiE8UQXQdMplbzThtxiRV5t8brbpw4epuPg7nHoS2CT4kGNMjM3XtIWW85ktoRLCqS0xrvoxG-ZCSVVKsofUYpxgTwgVfRWtMKE4roUbo-B5iCs4m9wZFnLvgW0hhUcxNShC6wrS-eyqs77Lqs_JdkYKZQPHuwwuEuIlWGjOLsPV9N9Dj-dnD6WV5c3dxdXpyU1omOS8FH3NSGcntRHJBoJGmEqxWZCxsk5tAXSkpalVjYxqSu0lsFFAmMDWgMGMbaHfI9TE5Ha1LYJ9zrQ5s0kQJKlSV0f6A5sG_9vkx3bpoYTYzHfg-alpLRVmFKc907w-d-j50-QVNJVYqjyNlVgeDssHHGKDR8-BaExaaYP25vf7cXn9tn_HOd2Q_bmHyS3_GzoAM4N3NYPFPlD65vrodQj8AF5WMzQ</recordid><startdate>202306</startdate><enddate>202306</enddate><creator>Hines, Stella E.</creator><creator>Dement, John</creator><creator>Cloeren, Marianne</creator><creator>Cranford, Kim</creator><creator>Quinn, Patricia S.</creator><creator>Ringen, Knut</creator><general>Wiley Subscription Services, Inc</general><general>Wiley Blackwell (John Wiley &amp; 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We wanted to determine if restrictive spirometry pattern (RSP) is associated with occupation and increased mortality. Methods Study participants included 18,145 workers with demographic and smoking data and repeatable spirometry. The mortality analysis cohort included 15,445 workers with known vital status and cause of death through December 31, 2016. Stratified analyses explored RSP prevalence by demographic and clinical variables and trade. Log‐binomial regression models explored RSP risk factors while controlling for important confounders such as smoking, obesity, and comorbidities. Cox regression models explored mortality risk by spirometry category. Results Prevalence of RSP was very high (28.6%). Mortality hazard ratios for RSP were 1.50 for all causes, 1.86 for cardiovascular diseases, 2.31 for respiratory diseases, and 1.66 for lung cancer. All construction trades except painters, machinists, and roofers had significantly elevated risk for RSP compared to our internal reference group. RSP was significantly associated with both parenchymal and pleural changes seen by chest X‐ray. Conclusions Construction trade workers are at significantly increased risk for RSP independent of obesity. Individuals with RSP are at increased risk for all‐cause mortality as well as mortality attributable to respiratory diseases, cardiovascular diseases, and lung cancer. 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subjects Cardiovascular diseases
Cardiovascular Diseases - epidemiology
Comorbidity
Construction Industry
construction trades
Demographic variables
Demographics
Demography
Epidemiology
Humans
Lung cancer
Lung diseases
Lung Neoplasms
Mortality
Obesity
Obesity - epidemiology
Occupational diseases
parenchymal
pleural
Regression analysis
Regression models
Respiration Disorders
Respiratory diseases
restrictive spirometry pattern
Risk factors
Risk management
Smoking
Spirometry
Trade
Workers
title Restrictive spirometry pattern among construction trade workers
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