Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study

Background: Self-reported data about environmental exposures can lead to measurement error. Objectives: To validate the self-reported perception of proximity to industrial facilities. Methods: MCC-Spain is a population-based multicase-control study of cancer in Spain that recruited incident cases of...

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Autores: Castelló, Adela, Pérez Gómez, Beatriz, Lora Pablos, David, Alguacil Ojeda, Juan
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad de Huelva (UHU)
Repositorio:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglés
OAI Identifier:oai:ariasmontano.uhu.es:10272/17614
Acceso en línea:http://hdl.handle.net/10272/17614
Access Level:acceso abierto
Palabra clave:Self-reported perception
Residential proximity
Case-control study
Sensitivity
Specificity
AUC
Industrial pollution
MCC-Spain
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spelling Validation of self-reported perception of proximity to industrial facilities: MCC-Spain studyCastelló, AdelaPérez Gómez, BeatrizLora Pablos, DavidAlguacil Ojeda, JuanSelf-reported perceptionResidential proximityCase-control studySensitivitySpecificityAUCIndustrial pollutionMCC-SpainBackground: Self-reported data about environmental exposures can lead to measurement error. Objectives: To validate the self-reported perception of proximity to industrial facilities. Methods: MCC-Spain is a population-based multicase-control study of cancer in Spain that recruited incident cases of breast, colorectal, prostate, and stomach cancer. The participant’s current residence and the location of the industries were geocoded, and the linear distance between them was calculated (gold standard). The epidemiological questionnaire included a question to determine whether the participants perceived the presence of any industry at ≤1 km from their residences. Sensitivity and specificity of individuals' perception of proximity to industries were estimated as measures of classification accuracy, and the area under the curve (AUC) and adjusted odds ratios (aORs) of misclassification were calculated as measures of discrimination. Analyses were performed for all cases and controls, and by tumor location, educational level, sex, industrial sector, and length of residence. Finally, aORs of cancer associated with real and self-reported distances were calculated to explore differences in the estimation of risk between these measures. Results: Sensitivity of the questionnaire was limited (0.48) whereas specificity was excellent (0.89). AUC was sufficient (0.68). Participants with breast (aOR(95%CI)=2.03 (1.67;2.46)), colorectal (aOR(95%CI)=1.41 (1.20;1.64)) and stomach (aOR(95%CI)=1.59 (1.20;2.10)) cancer showed higher risk of misclassification than controls. This risk was higher for lower educational levels (aOR<primary vs. university (95%CI)=1.78 (1.44;2.20)), among younger participants (aOR22-54 years vs. 73-85 years (95%CI)=1.32 (1.09;1.60)), and for some industrial sectors: pharmaceutical (aOR(95%CI)=29.02 (19.52;43.14)), galvanization (aOR(95%CI)=14.14 (6.78;29.47)), and ceramic (aOR(95%CI)=12.73 (7.22;22.44)). Participants living ≤1 year in the study area showed a lower risk of misclassification ((aOR≤1 vs. >15 years (95%CI)=0.56 (0.36;0.85)). The use of selfreported proximity vs. real distance to industrial facilities biased the effect on cancer risk towards the nullity. Conclusions: Self-reported distance to industrial facilities can be a useful tool for hypothesis generation, but hypothesis-testing studies should use real distance to report valid conclusions. The sensitivity of the question might be improved with a more specific formulation.Elsevier20202020-02-0120202020-02-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10272/17614reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelvainstname:Universidad de Huelva (UHU)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ariasmontano.uhu.es:10272/176142026-06-02T14:58:11Z
dc.title.none.fl_str_mv Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study
title Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study
spellingShingle Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study
Castelló, Adela
Self-reported perception
Residential proximity
Case-control study
Sensitivity
Specificity
AUC
Industrial pollution
MCC-Spain
title_short Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study
title_full Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study
title_fullStr Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study
title_full_unstemmed Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study
title_sort Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study
dc.creator.none.fl_str_mv Castelló, Adela
Pérez Gómez, Beatriz
Lora Pablos, David
Alguacil Ojeda, Juan
author Castelló, Adela
author_facet Castelló, Adela
Pérez Gómez, Beatriz
Lora Pablos, David
Alguacil Ojeda, Juan
author_role author
author2 Pérez Gómez, Beatriz
Lora Pablos, David
Alguacil Ojeda, Juan
author2_role author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Self-reported perception
Residential proximity
Case-control study
Sensitivity
Specificity
AUC
Industrial pollution
MCC-Spain
topic Self-reported perception
Residential proximity
Case-control study
Sensitivity
Specificity
AUC
Industrial pollution
MCC-Spain
description Background: Self-reported data about environmental exposures can lead to measurement error. Objectives: To validate the self-reported perception of proximity to industrial facilities. Methods: MCC-Spain is a population-based multicase-control study of cancer in Spain that recruited incident cases of breast, colorectal, prostate, and stomach cancer. The participant’s current residence and the location of the industries were geocoded, and the linear distance between them was calculated (gold standard). The epidemiological questionnaire included a question to determine whether the participants perceived the presence of any industry at ≤1 km from their residences. Sensitivity and specificity of individuals' perception of proximity to industries were estimated as measures of classification accuracy, and the area under the curve (AUC) and adjusted odds ratios (aORs) of misclassification were calculated as measures of discrimination. Analyses were performed for all cases and controls, and by tumor location, educational level, sex, industrial sector, and length of residence. Finally, aORs of cancer associated with real and self-reported distances were calculated to explore differences in the estimation of risk between these measures. Results: Sensitivity of the questionnaire was limited (0.48) whereas specificity was excellent (0.89). AUC was sufficient (0.68). Participants with breast (aOR(95%CI)=2.03 (1.67;2.46)), colorectal (aOR(95%CI)=1.41 (1.20;1.64)) and stomach (aOR(95%CI)=1.59 (1.20;2.10)) cancer showed higher risk of misclassification than controls. This risk was higher for lower educational levels (aOR<primary vs. university (95%CI)=1.78 (1.44;2.20)), among younger participants (aOR22-54 years vs. 73-85 years (95%CI)=1.32 (1.09;1.60)), and for some industrial sectors: pharmaceutical (aOR(95%CI)=29.02 (19.52;43.14)), galvanization (aOR(95%CI)=14.14 (6.78;29.47)), and ceramic (aOR(95%CI)=12.73 (7.22;22.44)). Participants living ≤1 year in the study area showed a lower risk of misclassification ((aOR≤1 vs. >15 years (95%CI)=0.56 (0.36;0.85)). The use of selfreported proximity vs. real distance to industrial facilities biased the effect on cancer risk towards the nullity. Conclusions: Self-reported distance to industrial facilities can be a useful tool for hypothesis generation, but hypothesis-testing studies should use real distance to report valid conclusions. The sensitivity of the question might be improved with a more specific formulation.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-02-01
2020
2020-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10272/17614
url http://hdl.handle.net/10272/17614
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelva
instname:Universidad de Huelva (UHU)
instname_str Universidad de Huelva (UHU)
reponame_str Arias Montano. Repositorio Institucional de la Universidad de Huelva
collection Arias Montano. Repositorio Institucional de la Universidad de Huelva
repository.name.fl_str_mv
repository.mail.fl_str_mv
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