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on occupational asthma, and few estimates of the
proportion of asthma attributed to occupation, even
though asthma is the most common occupational
respiratory disorder in industrialised countries.
M e t h o d s We assessed data on 15 637 people aged
20–44, randomly selected from the general population of
26 areas in 12 industrialised countries. Asthma was
assessed by methacholine challenge test and by
questionnaire data on respiratory symptoms and use of
medication. Occupation was defined by job-titles and a job
exposure matrix was constructed.
F i n d i n g s Highest risk of asthma, defined as bronchial
hyperresponsiveness and reported asthma symptoms or
medication, was shown for farmers (odds ratio 2·62 [95%
CI 1·29–5·35]), painters (2·34 [1·04–5·28]), plastic
workers (2·20 [0·59–8·29]), cleaners (1·97 [1·33–2·92]),
spray painters (1·96 [0·72–5·34]), and agricultural
workers (1·79 [1·02–3·16]). Similar risks were shown for
asthma defined as reported asthma symptoms or
medication. The most consistent results across countries
were shown for farmers and cleaners. Excess asthma risk
was associated with high exposure to biological dusts,
mineral dusts, and gases and fumes. The proportion of
asthma among young adults attributed to occupation was
5 % – 1 0 % .
I n t e r p r e t a t i o n The prevalence of occupational asthma in
women and in specific occupations has been
underestimated. Given a mean prevalence of asthma of
about 5%, about 0·2%–0·5% of young adults become
asthmatics or have their asthma exacerbated because of
their occupations.
Occupational asthma in Europe and other industrialised areas: a
population-based study
Manolis Kogevinas;Josep Maria Antó;Jordi Sunyer;Aurelio Tobias;Hans Kromhout;Peter Burney;the European Community Respiratory Health Survey Study Group A. u. s. t. r. a. l. i. a— M. Abramson;J. K.u.t.i.n. B. e. l. g. i. u. m—P Vermeire;F. van Bastelaer . G. e. r. m. a. n. y— H. Magnussen;D. Nowak;H. E. W. i. c. h. m. a. n. n.;J Heinrich;M. W.j.s.t. I. c. e. l. a. n. d— T. Gislason;D. G.i.s.l.a.s.o.n. I. r. e. l. a. n. d— J. Prichard;S. Allwright;D. M.a.c.L.e.o.d. I. t. a. l. y— M. Bugiani;BUCCA, Caterina;ROMANO, Canzio;R. de Marco lo Cascio, C. Campello;A. Marinoni;I. Cerveri;L. C.a.s.a.l.i. New Zealand— J. Crane;W. D’Souza;N. Pearce;D. Barry;I. T.o.w.n. N. o. r. w. a. y—A Gulsvik;E. Omenaas;P. B.a.k.k.e. S. p. a. i. n— J. M. Antó;J. Sunyer;J. Soriano;M. Kogevinas;A. Tobias;J. Roca;N. Muniozguren;J. Ramos González;A. Capelastegui;J. Martinez Moratalla, E. Almar;J. Maldonade Pérez;A. Oereira;J. Sánchez;J. Quirós;I. Huerta . Sweden— G. Boman;C. Janson;E. Björnsson;L. Rosenhall;E. Norrman;B. Lundbäck;N. Lindholm;P. P.l.a.s.c.h.k.e. U. K— MBurr;J. Layzqll;R. Hall;B. Harrison;J. S.t.a.r.k. U. S. A— S. Buist;W. Vollmer;M. Osborne
1999-01-01
Abstract
on occupational asthma, and few estimates of the
proportion of asthma attributed to occupation, even
though asthma is the most common occupational
respiratory disorder in industrialised countries.
M e t h o d s We assessed data on 15 637 people aged
20–44, randomly selected from the general population of
26 areas in 12 industrialised countries. Asthma was
assessed by methacholine challenge test and by
questionnaire data on respiratory symptoms and use of
medication. Occupation was defined by job-titles and a job
exposure matrix was constructed.
F i n d i n g s Highest risk of asthma, defined as bronchial
hyperresponsiveness and reported asthma symptoms or
medication, was shown for farmers (odds ratio 2·62 [95%
CI 1·29–5·35]), painters (2·34 [1·04–5·28]), plastic
workers (2·20 [0·59–8·29]), cleaners (1·97 [1·33–2·92]),
spray painters (1·96 [0·72–5·34]), and agricultural
workers (1·79 [1·02–3·16]). Similar risks were shown for
asthma defined as reported asthma symptoms or
medication. The most consistent results across countries
were shown for farmers and cleaners. Excess asthma risk
was associated with high exposure to biological dusts,
mineral dusts, and gases and fumes. The proportion of
asthma among young adults attributed to occupation was
5 % – 1 0 % .
I n t e r p r e t a t i o n The prevalence of occupational asthma in
women and in specific occupations has been
underestimated. Given a mean prevalence of asthma of
about 5%, about 0·2%–0·5% of young adults become
asthmatics or have their asthma exacerbated because of
their occupations.
Manolis Kogevinas, Josep Maria Antó, Jordi Sunyer, Aurelio Tobias, Hans Kromhout, Peter Burney, and the
European Community Respiratory Health Survey Study Group
A u s t r a l i a— M Abramson, J Kutin (Melbourne).
B e l g i u m—P Vermeire, F van Bastelaer (Antwerp South, Antwerp C e n t r a l ) .
G e r m a n y— H Magnussen, D Nowak (Hamburg); H E W i c h m a n n ,J Heinrich, M Wjst (Erfurt).
I c e l a n d— T Gislason, D Gislason (Reykjavik).
I r e l a n d— J Prichard, S Allwright, D MacLeod (Dublin).
I t a l y— M Bugiani, C Bucca, C Romano (Turin); R de Marco lo Cascio, C Campello (Verona); A Marinoni, I Cerveri, L Casali (Pavia).
New Zealand— J Crane, W D’Souza, N Pearce, D Barry, I Town
(Wellington, Christchurch, Hawkes Bay).
N o r w a y—A Gulsvik, E Omenaas, P Bakke (Bergen).
S p a i n— J M Antó, J Sunyer, J Soriano, M Kogevinas, A Tobias, J Roca (Barcelona); N Muniozguren, J Ramos González, A Capelastegui (Galdakao); J Martinez-Moratalla, E Almar (Albacete); J Maldonade Pérez, A Oereira, J Sánchez (Huelva); J Quirós, I Huerta ( Oviedo) .
Sweden— G Boman, C Janson, E Björnsson (Uppsala); L Rosenhall, E Norrman, B Lundbäck (Umea); N Lindholm, P Plaschke (Göteborg).
U K— MBurr, J Layzqll (Caerphilly); R Hall (Ipswich); B Harrison
(Norwich); J Stark (Cambridge).
U S A— S Buist, W Vollmer, M Osborne (Portland).
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/124715
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simulazione ASN
Il report seguente simula gli indicatori relativi alla produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione.
La simulazione si basa sui dati IRIS e presenta gli indicatori calcolati alla data indicata sul report. Si ricorda che in sede di domanda ASN presso il MIUR gli indicatori saranno invece calcolati a partire dal 1° gennaio rispettivamente del quinto/decimo/quindicesimo anno precedente la scadenza del quadrimestre di presentazione della domanda (art 2 del DM 598/2018).
In questa simulazione pertanto il valore degli indicatori potrà differire da quello conteggiato all’atto della domanda ASN effettuata presso il MIUR a seguito di:
Correzioni imputabili a eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori.
Presenza di eventuali errori di catalogazione e/o dati mancanti in IRIS
Variabilità nel tempo dei valori citazionali (per i settori bibliometrici)
Variabilità della finestra temporale considerata in funzione della sessione di domanda ASN a cui si partecipa.
La presente simulazione è stata realizzata sulla base delle regole riportate nel DM 598/2018 e dell'allegata Tabella A e delle specifiche definite all'interno del Focus Group Cineca relativo al modulo IRIS ER. Il Cineca non si assume alcuna responsabilità in merito all'uso che il diretto interessato o terzi faranno della simulazione.