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Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study.
Castelló, Adela; Pérez-Gómez, Beatriz; Lora-Pablos, David; Lope, Virginia; Castaño-Vinyals, Gemma; Vitelli-Storelli, Facundo; Dierssen-Sotos, Trinidad; Amiano, Pilar; Guevara, Marcela; Moreno, Víctor; Lozano-Lorca, Macarena; Tardón, Adonina; Alguacil, Juan; Hernández-García, Marta; Marcos-Gragera, Rafael; Chirlaque López, Maria Dolores; Ardanaz, Eva; Ibarluzea, Jesús; Gómez-Acebo, Inés; Molina, Antonio J; O'Callaghan-Gordo, Cristina; Aragonés, Nuria; Kogevinas, Manolis; Pollán, Marina; García-Pérez, Javier.
Afiliación
  • Castelló A; School of Medicine, University of Alcalá, Av. de Madrid, Km 33,600, 28871 Alcalá de Henares, Madrid, Spain; Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Calle de Melchor Fernández Almagro
  • Pérez-Gómez B; Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Calle de Melchor Fernández Almagro, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epid
  • Lora-Pablos D; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Clinical Research Unit (i+12), Hospital Universitario, 12 de Octubre, Av. de Córdoba, s/n, 28041 Madrid, Spain; Spanish Clinica
  • Lope V; Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Calle de Melchor Fernández Almagro, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epid
  • Castaño-Vinyals G; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; ISGlobal, Barcelona, Carrer del Rosselló, 132, 08036 Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Carr
  • Vitelli-Storelli F; The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institut of Biomedicine (IBIOMED), Universidad de León, Campus Universitario de Vegazana, 24071 León, Spain; Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Univers
  • Dierssen-Sotos T; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Universidad de Cantabria - IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011 Santander, Spain. Electronic address: trinidad.dier
  • Amiano P; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Ministry of Health of the Basque Government, P° Dr.
  • Guevara M; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Instituto de Salud Pública de Navarra, IdiSNA, Calle Leyre, 15, 31003 Pamplona, Spain. Electronic address: mguevare@cfnavarra.e
  • Moreno V; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO) and Oncobell Program, Bellvitge Biomedical Research
  • Lozano-Lorca M; Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Av. de la Investigación, 11, 18016 Granada, Spain; Granada Health Research Institute (ibs.GRANADA), Doctor Azpitarte 4 4ª Planta, Edificio Licinio de la Fuente, 18012 Granada, Spain. Electronic address: m
  • Tardón A; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Instituto Universitario de Oncología, Universidad de Oviedo. Facultad de Medicina, Oviedo, Spain; Spain Instituto de Investigac
  • Alguacil J; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Campus Universitario de El Carmen, 21071 Huel
  • Hernández-García M; Cancer and Public Health Area, FISABIO - Public Health, Avda. de Catalunya, 21, 46020 Valencia, Spain. Electronic address: hernandez_margarb@gva.es.
  • Marcos-Gragera R; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalo
  • Chirlaque López MD; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Campus de Ciencias de la Salud, Carretera Buenavista
  • Ardanaz E; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Instituto de Salud Pública de Navarra, IdiSNA, Calle Leyre, 15, 31003 Pamplona, Spain. Electronic address: me.ardanaz.aicua@cfn
  • Ibarluzea J; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Ministry of Health of the Basque Government, P° Dr.
  • Gómez-Acebo I; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Universidad de Cantabria - IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011 Santander, Spain. Electronic address: ines.gomez@un
  • Molina AJ; The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institut of Biomedicine (IBIOMED), Universidad de León, Campus Universitario de Vegazana, 24071 León, Spain; Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Univers
  • O'Callaghan-Gordo C; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; ISGlobal, Barcelona, Carrer del Rosselló, 132, 08036 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Campus del Mar, Carrer d
  • Aragonés N; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Epidemiology Section, Public Health Division, Department of Health of Madrid, C/San Martín de Porres, 6, 28035 Madrid, Spain. E
  • Kogevinas M; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; ISGlobal, Barcelona, Carrer del Rosselló, 132, 08036 Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Carr
  • Pollán M; Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Calle de Melchor Fernández Almagro, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epid
  • García-Pérez J; Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Calle de Melchor Fernández Almagro, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epid
Environ Int ; 135: 105316, 2020 02.
Article en En | MEDLINE | ID: mdl-31918152
ABSTRACT

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 (aORuniversity (95%CI) = 1.78 (1.44;2.20)), among younger participants (aOR22-54 yearsvs. 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≤1vs.>15 years (95%CI) = 0.56 (0.36;0.85)). The use of self-reported 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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Exposición a Riesgos Ambientales / Autoinforme / Instalaciones Industriales y de Fabricación Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Environ Int Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Exposición a Riesgos Ambientales / Autoinforme / Instalaciones Industriales y de Fabricación Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Environ Int Año: 2020 Tipo del documento: Article