Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study.
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 ≤1â¯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)â¯=â¯2.03 (1.67;2.46)), colorectal (aOR(95%CI)â¯=â¯1.41 (1.20;1.64)) and stomach (aOR(95%CI)â¯=â¯1.59 (1.20;2.10)) cancer showed higher risk of misclassification than controls. This risk was higher for lower educational levels (aORCONCLUSIONS:
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.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Exposición a Riesgos Ambientales
/
Autoinforme
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Instalaciones Industriales y de Fabricación
Tipo de estudio:
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Female
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Humans
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Male
País/Región como asunto:
Europa
Idioma:
En
Revista:
Environ Int
Año:
2020
Tipo del documento:
Article