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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc.
2015
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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. |
format | Online Article Text |
id | pubmed-4526937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | JMIR Publications Inc. |
record_format | MEDLINE/PubMed |
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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