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Internet-Based Birth-Cohort Studies: Is This the Future for Epidemiology?

BACKGROUND: International collaborative cohorts the NINFEA and the ELF studies are mother-child cohorts that use the internet for recruitment and follow-up of their members. The cohorts investigated the association of early life exposures and a wide range of non-communicable diseases. OBJECTIVE: The...

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Autores principales: Firestone, Ridvan, Cheng, Soo, Pearce, Neil, Douwes, Jeroen, Merletti, Franco, Pizzi, Costanza, Pivetta, Emanuele, Rusconi, Franca, Richiardi, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526937/
https://www.ncbi.nlm.nih.gov/pubmed/26071071
http://dx.doi.org/10.2196/resprot.3873
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author Firestone, Ridvan
Cheng, Soo
Pearce, Neil
Douwes, Jeroen
Merletti, Franco
Pizzi, Costanza
Pivetta, Emanuele
Rusconi, Franca
Richiardi, Lorenzo
author_facet Firestone, Ridvan
Cheng, Soo
Pearce, Neil
Douwes, Jeroen
Merletti, Franco
Pizzi, Costanza
Pivetta, Emanuele
Rusconi, Franca
Richiardi, Lorenzo
author_sort Firestone, Ridvan
collection PubMed
description BACKGROUND: International collaborative cohorts the NINFEA and the ELF studies are mother-child cohorts that use the internet for recruitment and follow-up of their members. The cohorts investigated the association of early life exposures and a wide range of non-communicable diseases. OBJECTIVE: The objective is to report the research methodology, with emphasis on the advantages and limitations offered by an Internet-based design. These studies were conducted in Turin, Italy and Wellington, New Zealand. METHODS: The cohorts utilized various online/offline methods to recruit participants. Pregnant women who became aware volunteered, completed an online questionnaire, thus obtaining baseline information. RESULTS: The NINFEA study has recruited 7003 pregnant women, while the ELF study has recruited 2197 women. The cohorts targeted the whole country, utilizing a range of support processes to reduce the attrition rate of the participants. For the NINFEA and ELF cohorts, online participants were predominantly older (35% and 28.9%, respectively), highly educated (55.6% and 84.9%, respectively), and were in their final trimester of pregnancy (48.5% and 53.6%, respectively). CONCLUSIONS: Internet-based cohort epidemiological studies are feasible, however, it is clear that participants are self-selective samples, as is the case for many birth cohorts. Internet-based cohort studies are potentially cost-effective and novel methodology for conducting long-term epidemiology research. However, from our experience, participants tend to be self-selective. In marked time, if the cohorts are to form part of a larger research program they require further use and exploration to address biases and overcome limitations.
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spelling pubmed-45269372015-08-11 Internet-Based Birth-Cohort Studies: Is This the Future for Epidemiology? Firestone, Ridvan Cheng, Soo Pearce, Neil Douwes, Jeroen Merletti, Franco Pizzi, Costanza Pivetta, Emanuele Rusconi, Franca Richiardi, Lorenzo JMIR Res Protoc Original Paper BACKGROUND: International collaborative cohorts the NINFEA and the ELF studies are mother-child cohorts that use the internet for recruitment and follow-up of their members. The cohorts investigated the association of early life exposures and a wide range of non-communicable diseases. OBJECTIVE: The objective is to report the research methodology, with emphasis on the advantages and limitations offered by an Internet-based design. These studies were conducted in Turin, Italy and Wellington, New Zealand. METHODS: The cohorts utilized various online/offline methods to recruit participants. Pregnant women who became aware volunteered, completed an online questionnaire, thus obtaining baseline information. RESULTS: The NINFEA study has recruited 7003 pregnant women, while the ELF study has recruited 2197 women. The cohorts targeted the whole country, utilizing a range of support processes to reduce the attrition rate of the participants. For the NINFEA and ELF cohorts, online participants were predominantly older (35% and 28.9%, respectively), highly educated (55.6% and 84.9%, respectively), and were in their final trimester of pregnancy (48.5% and 53.6%, respectively). CONCLUSIONS: Internet-based cohort epidemiological studies are feasible, however, it is clear that participants are self-selective samples, as is the case for many birth cohorts. Internet-based cohort studies are potentially cost-effective and novel methodology for conducting long-term epidemiology research. However, from our experience, participants tend to be self-selective. In marked time, if the cohorts are to form part of a larger research program they require further use and exploration to address biases and overcome limitations. JMIR Publications Inc. 2015-06-12 /pmc/articles/PMC4526937/ /pubmed/26071071 http://dx.doi.org/10.2196/resprot.3873 Text en ©Ridvan Firestone, Soo Cheng, Neil Pearce, Jeroen Douwes, Franco Merletti, Costanza Pizzi, Emanuele Pivetta, Franca Rusconi, Lorenzo Richiardi. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 12.06.2015. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Firestone, Ridvan
Cheng, Soo
Pearce, Neil
Douwes, Jeroen
Merletti, Franco
Pizzi, Costanza
Pivetta, Emanuele
Rusconi, Franca
Richiardi, Lorenzo
Internet-Based Birth-Cohort Studies: Is This the Future for Epidemiology?
title Internet-Based Birth-Cohort Studies: Is This the Future for Epidemiology?
title_full Internet-Based Birth-Cohort Studies: Is This the Future for Epidemiology?
title_fullStr Internet-Based Birth-Cohort Studies: Is This the Future for Epidemiology?
title_full_unstemmed Internet-Based Birth-Cohort Studies: Is This the Future for Epidemiology?
title_short Internet-Based Birth-Cohort Studies: Is This the Future for Epidemiology?
title_sort internet-based birth-cohort studies: is this the future for epidemiology?
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526937/
https://www.ncbi.nlm.nih.gov/pubmed/26071071
http://dx.doi.org/10.2196/resprot.3873
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