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Comparison of a French pediatric type 1 diabetes cohort’s responders and non-responders to an environmental questionnaire

BACKGROUND: Type 1 diabetes (T1D) incidence has doubled since the 1980’s for children aged <5 years old, potentially relevant environmental factors having thus to be sought early in the patient’s life. The identification of environmental factors that can explain the changing epidemiology of T1D r...

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Autores principales: Le Fur, Sophie, Bougnères, Pierre, Valleron, Alain-Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326427/
https://www.ncbi.nlm.nih.gov/pubmed/25467176
http://dx.doi.org/10.1186/1471-2458-14-1241
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author Le Fur, Sophie
Bougnères, Pierre
Valleron, Alain-Jacques
author_facet Le Fur, Sophie
Bougnères, Pierre
Valleron, Alain-Jacques
author_sort Le Fur, Sophie
collection PubMed
description BACKGROUND: Type 1 diabetes (T1D) incidence has doubled since the 1980’s for children aged <5 years old, potentially relevant environmental factors having thus to be sought early in the patient’s life. The identification of environmental factors that can explain the changing epidemiology of T1D requires comprehensive environmental inquiries. However, a limitation is the willingness of patients and families to complete these environmental questionnaires. Our objective was to identify patients’ personal and social characteristics predictive of the return, time to the return and completeness of a comprehensive environmental questionnaire. METHODS: The parents of 2832 T1D patients aged <15 years old enrolled in the French Isis cohort were sent a 1379-item environmental questionnaire. A geographic information system was used to collect information on patients’ socioeconomic environment. Multivariate statistical analyses were conducted to identify predictors of questionnaire return, time to its return and its completeness. RESULTS: Within 6 months, 867 (30.6%) questionnaires were returned. Socioeconomic environment was strongly associated with the probability of response, with fewer responses from cities with high Townsend deprivation index (p =2 × 10(−7)), high unemployment (p =0.005), blue-collar workers’ rate (p =0.0002) and household overcrowding (p =0.02). Response rates were similar for male and female patients, but were higher for less severely affected patients (p =0.006) and younger patients (p =5 × 10(−5)). When returned, completeness was high with a mean of 96%. CONCLUSION: Identification of personal or socioeconomic characteristics differing between questionnaire responders and non-responders may help target future environmental investigations on those patients who will more likely return the information, and reduce bias using these variables to stratify the analyses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2458-14-1241) contains supplementary material, which is available to authorized users.
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spelling pubmed-43264272015-02-14 Comparison of a French pediatric type 1 diabetes cohort’s responders and non-responders to an environmental questionnaire Le Fur, Sophie Bougnères, Pierre Valleron, Alain-Jacques BMC Public Health Research Article BACKGROUND: Type 1 diabetes (T1D) incidence has doubled since the 1980’s for children aged <5 years old, potentially relevant environmental factors having thus to be sought early in the patient’s life. The identification of environmental factors that can explain the changing epidemiology of T1D requires comprehensive environmental inquiries. However, a limitation is the willingness of patients and families to complete these environmental questionnaires. Our objective was to identify patients’ personal and social characteristics predictive of the return, time to the return and completeness of a comprehensive environmental questionnaire. METHODS: The parents of 2832 T1D patients aged <15 years old enrolled in the French Isis cohort were sent a 1379-item environmental questionnaire. A geographic information system was used to collect information on patients’ socioeconomic environment. Multivariate statistical analyses were conducted to identify predictors of questionnaire return, time to its return and its completeness. RESULTS: Within 6 months, 867 (30.6%) questionnaires were returned. Socioeconomic environment was strongly associated with the probability of response, with fewer responses from cities with high Townsend deprivation index (p =2 × 10(−7)), high unemployment (p =0.005), blue-collar workers’ rate (p =0.0002) and household overcrowding (p =0.02). Response rates were similar for male and female patients, but were higher for less severely affected patients (p =0.006) and younger patients (p =5 × 10(−5)). When returned, completeness was high with a mean of 96%. CONCLUSION: Identification of personal or socioeconomic characteristics differing between questionnaire responders and non-responders may help target future environmental investigations on those patients who will more likely return the information, and reduce bias using these variables to stratify the analyses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2458-14-1241) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-03 /pmc/articles/PMC4326427/ /pubmed/25467176 http://dx.doi.org/10.1186/1471-2458-14-1241 Text en © Le Fur et al.; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Le Fur, Sophie
Bougnères, Pierre
Valleron, Alain-Jacques
Comparison of a French pediatric type 1 diabetes cohort’s responders and non-responders to an environmental questionnaire
title Comparison of a French pediatric type 1 diabetes cohort’s responders and non-responders to an environmental questionnaire
title_full Comparison of a French pediatric type 1 diabetes cohort’s responders and non-responders to an environmental questionnaire
title_fullStr Comparison of a French pediatric type 1 diabetes cohort’s responders and non-responders to an environmental questionnaire
title_full_unstemmed Comparison of a French pediatric type 1 diabetes cohort’s responders and non-responders to an environmental questionnaire
title_short Comparison of a French pediatric type 1 diabetes cohort’s responders and non-responders to an environmental questionnaire
title_sort comparison of a french pediatric type 1 diabetes cohort’s responders and non-responders to an environmental questionnaire
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326427/
https://www.ncbi.nlm.nih.gov/pubmed/25467176
http://dx.doi.org/10.1186/1471-2458-14-1241
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