Poisson regression in mapping cancer mortality
- Autores
- Vacchino, Marta
- Año de publicación
- 1999
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Fil: Vacchino, Marta N. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Epidemiología; Argentina.
The aim of this study was to map standardized mortality ratios (SMRs) of specific cancers in Argentina and to examine some ecological relationships using Poisson regression, Poisson regression with frailties, and empirical Bayes estimates. Mortality data for lung cancer, nonmelanoma skin cancer, melanoma, and stomach cancer were obtained from national registers for the period 1989-1993. Overcrowding and unsatisfied basic needs (UBN) were used as indicators of socioeconomic status and people working permanently on farms as an indicator of rural activity. Empirical Bayes estimates provided a good solution for mapping rare causes of cancer when random fluctuations of observed deaths are important, as in the case of nonmelanoma skin cancer (NMSC) and melanoma. In the case of lung and stomach cancers the main improvement was the attenuation of confidence intervals. Lung cancer rates (males and females) were higher in jurisdictions with better socioeconomic status. When the variable UBN was categorized in tertiles (<20, 20-27, and 28% and higher) the rate ratios of lung cancer in men fell to 0.82 IC 95% (0. 78-0.85) in those with UNB index among 20-27% with respect to the reference level and to 0.56 IC 95% (0.54-0.59) in those with more than 28%. In contrast, stomach cancer rates were associated with worse economic conditions. NMSC and melanoma showed different patterns. The former was associated with working on farms, while the latter was not. Neither NMSC nor melanoma was increased in areas affected by Antarctica's ozone hole. Research appears to be warranted to further investigate associations of lung cancer with smoking and behavior in women living in southern Argentinean provinces. Public education must continue to promote personal responsibility in the intervention process to reduce the morbidity and mortality associated with cancers, such as lung and skin cancer, which are partially avoidable through behavioral changes. - Fuente
- Environmental research 1999;81(1):1-17
- Materia
-
Neoplasias Pulmonares
Neoplasias Cutáneas
Melanoma
Estudios Ecológicos - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- none
- Repositorio
- Institución
- Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"
- OAI Identificador
- oai:sgc.anlis.gob.ar:123456789/2130
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Poisson regression in mapping cancer mortalityVacchino, MartaNeoplasias PulmonaresNeoplasias CutáneasMelanomaEstudios EcológicosFil: Vacchino, Marta N. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Epidemiología; Argentina.The aim of this study was to map standardized mortality ratios (SMRs) of specific cancers in Argentina and to examine some ecological relationships using Poisson regression, Poisson regression with frailties, and empirical Bayes estimates. Mortality data for lung cancer, nonmelanoma skin cancer, melanoma, and stomach cancer were obtained from national registers for the period 1989-1993. Overcrowding and unsatisfied basic needs (UBN) were used as indicators of socioeconomic status and people working permanently on farms as an indicator of rural activity. Empirical Bayes estimates provided a good solution for mapping rare causes of cancer when random fluctuations of observed deaths are important, as in the case of nonmelanoma skin cancer (NMSC) and melanoma. In the case of lung and stomach cancers the main improvement was the attenuation of confidence intervals. Lung cancer rates (males and females) were higher in jurisdictions with better socioeconomic status. When the variable UBN was categorized in tertiles (<20, 20-27, and 28% and higher) the rate ratios of lung cancer in men fell to 0.82 IC 95% (0. 78-0.85) in those with UNB index among 20-27% with respect to the reference level and to 0.56 IC 95% (0.54-0.59) in those with more than 28%. In contrast, stomach cancer rates were associated with worse economic conditions. NMSC and melanoma showed different patterns. The former was associated with working on farms, while the latter was not. Neither NMSC nor melanoma was increased in areas affected by Antarctica's ozone hole. Research appears to be warranted to further investigate associations of lung cancer with smoking and behavior in women living in southern Argentinean provinces. Public education must continue to promote personal responsibility in the intervention process to reduce the morbidity and mortality associated with cancers, such as lung and skin cancer, which are partially avoidable through behavioral changes.1999-07info:ar-repo/semantics/articuloinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdf0013-9351http://sgc.anlis.gob.ar/handle/123456789/213010.1006/enrs.1998.3953Environmental research 1999;81(1):1-17reponame:Sistema de Gestión del Conocimiento ANLIS MALBRÁNinstname:Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"instacron:ANLISEnvironmental researchnoneinfo:eu-repo/semantics/openAccesseng2025-09-04T11:18:15Zoai:sgc.anlis.gob.ar:123456789/2130Institucionalhttp://sgc.anlis.gob.ar/Organismo científico-tecnológicoNo correspondehttp://sgc.anlis.gob.ar/oai/biblioteca@anlis.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2025-09-04 11:18:15.372Sistema de Gestión del Conocimiento ANLIS MALBRÁN - Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"false |
dc.title.none.fl_str_mv |
Poisson regression in mapping cancer mortality |
title |
Poisson regression in mapping cancer mortality |
spellingShingle |
Poisson regression in mapping cancer mortality Vacchino, Marta Neoplasias Pulmonares Neoplasias Cutáneas Melanoma Estudios Ecológicos |
title_short |
Poisson regression in mapping cancer mortality |
title_full |
Poisson regression in mapping cancer mortality |
title_fullStr |
Poisson regression in mapping cancer mortality |
title_full_unstemmed |
Poisson regression in mapping cancer mortality |
title_sort |
Poisson regression in mapping cancer mortality |
dc.creator.none.fl_str_mv |
Vacchino, Marta |
author |
Vacchino, Marta |
author_facet |
Vacchino, Marta |
author_role |
author |
dc.subject.none.fl_str_mv |
Neoplasias Pulmonares Neoplasias Cutáneas Melanoma Estudios Ecológicos |
topic |
Neoplasias Pulmonares Neoplasias Cutáneas Melanoma Estudios Ecológicos |
dc.description.none.fl_txt_mv |
Fil: Vacchino, Marta N. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Epidemiología; Argentina. The aim of this study was to map standardized mortality ratios (SMRs) of specific cancers in Argentina and to examine some ecological relationships using Poisson regression, Poisson regression with frailties, and empirical Bayes estimates. Mortality data for lung cancer, nonmelanoma skin cancer, melanoma, and stomach cancer were obtained from national registers for the period 1989-1993. Overcrowding and unsatisfied basic needs (UBN) were used as indicators of socioeconomic status and people working permanently on farms as an indicator of rural activity. Empirical Bayes estimates provided a good solution for mapping rare causes of cancer when random fluctuations of observed deaths are important, as in the case of nonmelanoma skin cancer (NMSC) and melanoma. In the case of lung and stomach cancers the main improvement was the attenuation of confidence intervals. Lung cancer rates (males and females) were higher in jurisdictions with better socioeconomic status. When the variable UBN was categorized in tertiles (<20, 20-27, and 28% and higher) the rate ratios of lung cancer in men fell to 0.82 IC 95% (0. 78-0.85) in those with UNB index among 20-27% with respect to the reference level and to 0.56 IC 95% (0.54-0.59) in those with more than 28%. In contrast, stomach cancer rates were associated with worse economic conditions. NMSC and melanoma showed different patterns. The former was associated with working on farms, while the latter was not. Neither NMSC nor melanoma was increased in areas affected by Antarctica's ozone hole. Research appears to be warranted to further investigate associations of lung cancer with smoking and behavior in women living in southern Argentinean provinces. Public education must continue to promote personal responsibility in the intervention process to reduce the morbidity and mortality associated with cancers, such as lung and skin cancer, which are partially avoidable through behavioral changes. |
description |
Fil: Vacchino, Marta N. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Epidemiología; Argentina. |
publishDate |
1999 |
dc.date.none.fl_str_mv |
1999-07 |
dc.type.none.fl_str_mv |
info:ar-repo/semantics/articulo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
0013-9351 http://sgc.anlis.gob.ar/handle/123456789/2130 10.1006/enrs.1998.3953 |
identifier_str_mv |
0013-9351 10.1006/enrs.1998.3953 |
url |
http://sgc.anlis.gob.ar/handle/123456789/2130 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Environmental research |
dc.rights.none.fl_str_mv |
none info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
none |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Environmental research 1999;81(1):1-17 reponame:Sistema de Gestión del Conocimiento ANLIS MALBRÁN instname:Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán" instacron:ANLIS |
reponame_str |
Sistema de Gestión del Conocimiento ANLIS MALBRÁN |
collection |
Sistema de Gestión del Conocimiento ANLIS MALBRÁN |
instname_str |
Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán" |
instacron_str |
ANLIS |
institution |
ANLIS |
repository.name.fl_str_mv |
Sistema de Gestión del Conocimiento ANLIS MALBRÁN - Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán" |
repository.mail.fl_str_mv |
biblioteca@anlis.gov.ar |
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12.623145 |