2024-03-28T21:40:31Zhttp://repisalud.isciii.es/oai/requestoai:repisalud.isciii.es:20.500.12105/89142023-01-12T13:20:25Zcom_20.500.12105_15322com_20.500.12105_2051com_20.500.12105_2053com_20.500.12105_2052col_20.500.12105_16990col_20.500.12105_16983col_20.500.12105_16981col_20.500.12105_16974col_20.500.12105_16970col_20.500.12105_16968col_20.500.12105_16962col_20.500.12105_16959col_20.500.12105_16938col_20.500.12105_2054
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dc
Castelló Pastor, Adela
author
Perez-Gomez, Beatriz
author
Lora-Pablos, David
author
Lope Carvajal, Virginia
author
Castaño-Vinyals, Gemma
author
Vitelli-Storelli, Facundo
author
Dierssen-Sotos, Trinidad
author
Amiano, Pilar
author
Guevara, Marcela
author
Moreno, Víctor
author
Lozano-Lorca, Macarena
author
Tardón, Adonina
author
Alguacil, Juan
author
Hernández-García, Marta
author
Marcos-Gragera, Rafael
author
Chirlaque López, Maria Dolores
author
Ardanaz, Eva
author
Ibarluzea, Jesús
author
Gómez-Acebo, Inés
author
Molina, Antonio J
author
O'Callaghan-Gordo, Cristina
author
Aragones, Nuria
author
Kogevinas, Manolis
author
Pollan-Santamaria, Marina
author
García-Pérez, Javier
author
2020-01-06
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<primaryvs.university (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.
Environ Int. 2020 Feb;135:105316.
01604120
http://hdl.handle.net/20.500.12105/8914
31918152
10.1016/j.envint.2019.105316
1873-6750
Environment international
AUC
Case-control study
Industrial pollution
MCC-Spain
Residential proximity
Self-reported perception
Sensitivity
Specificity
Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study