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Quality and accuracy of online nutrition-related information: a systematic review of content analysis studies
OBJECTIVE: This systematic review aimed to summarise the level of quality and accuracy of nutrition-related information on websites and social media and determine if quality and accuracy varied between websites and social media or publishers of information. DESIGN: This systematic review was registe...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346027/ https://www.ncbi.nlm.nih.gov/pubmed/37138366 http://dx.doi.org/10.1017/S1368980023000873 |
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author | Denniss, Emily Lindberg, Rebecca McNaughton, Sarah A |
author_facet | Denniss, Emily Lindberg, Rebecca McNaughton, Sarah A |
author_sort | Denniss, Emily |
collection | PubMed |
description | OBJECTIVE: This systematic review aimed to summarise the level of quality and accuracy of nutrition-related information on websites and social media and determine if quality and accuracy varied between websites and social media or publishers of information. DESIGN: This systematic review was registered with PROSPERO (CRD42021224277). CINAHL, MEDLINE, Embase, Global Health and Academic Search Complete were systematically searched on 15 January 2021 to identify content analysis studies, published in English after 1989, that evaluated the quality and/or accuracy of nutrition-related information published on websites or social media. A coding framework was used to classify studies’ findings about information quality and/or accuracy as poor, good, moderate or varied. The Academy of Nutrition and Dietetics Quality Criteria Checklist was used to assess the risk of bias. SETTING: N/A. PARTICIPANTS: N/A. RESULTS: From 10 482 articles retrieved, sixty-four were included. Most studies evaluated information from websites (n 53, 82·8 %). Similar numbers of studies assessed quality (n 41, 64·1 %) and accuracy (n 47, 73·4 %). Almost half of the studies reported that quality (n 20, 48·8 %) or accuracy (n 23, 48·9 %) was low. Quality and accuracy of information were similar on social media and websites, however, varied between information publishers. High risk of bias in sample selection and quality or accuracy evaluations was a common limitation. CONCLUSION: Online nutrition-related information is often inaccurate and of low quality. Consumers seeking information online are at risk of being misinformed. More action is needed to improve the public’s eHealth and media literacy and the reliability of online nutrition-related information. |
format | Online Article Text |
id | pubmed-10346027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103460272023-08-29 Quality and accuracy of online nutrition-related information: a systematic review of content analysis studies Denniss, Emily Lindberg, Rebecca McNaughton, Sarah A Public Health Nutr Review Article OBJECTIVE: This systematic review aimed to summarise the level of quality and accuracy of nutrition-related information on websites and social media and determine if quality and accuracy varied between websites and social media or publishers of information. DESIGN: This systematic review was registered with PROSPERO (CRD42021224277). CINAHL, MEDLINE, Embase, Global Health and Academic Search Complete were systematically searched on 15 January 2021 to identify content analysis studies, published in English after 1989, that evaluated the quality and/or accuracy of nutrition-related information published on websites or social media. A coding framework was used to classify studies’ findings about information quality and/or accuracy as poor, good, moderate or varied. The Academy of Nutrition and Dietetics Quality Criteria Checklist was used to assess the risk of bias. SETTING: N/A. PARTICIPANTS: N/A. RESULTS: From 10 482 articles retrieved, sixty-four were included. Most studies evaluated information from websites (n 53, 82·8 %). Similar numbers of studies assessed quality (n 41, 64·1 %) and accuracy (n 47, 73·4 %). Almost half of the studies reported that quality (n 20, 48·8 %) or accuracy (n 23, 48·9 %) was low. Quality and accuracy of information were similar on social media and websites, however, varied between information publishers. High risk of bias in sample selection and quality or accuracy evaluations was a common limitation. CONCLUSION: Online nutrition-related information is often inaccurate and of low quality. Consumers seeking information online are at risk of being misinformed. More action is needed to improve the public’s eHealth and media literacy and the reliability of online nutrition-related information. Cambridge University Press 2023-07 2023-05-04 /pmc/articles/PMC10346027/ /pubmed/37138366 http://dx.doi.org/10.1017/S1368980023000873 Text en © The Authors 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Review Article Denniss, Emily Lindberg, Rebecca McNaughton, Sarah A Quality and accuracy of online nutrition-related information: a systematic review of content analysis studies |
title | Quality and accuracy of online nutrition-related information: a systematic review of content analysis studies |
title_full | Quality and accuracy of online nutrition-related information: a systematic review of content analysis studies |
title_fullStr | Quality and accuracy of online nutrition-related information: a systematic review of content analysis studies |
title_full_unstemmed | Quality and accuracy of online nutrition-related information: a systematic review of content analysis studies |
title_short | Quality and accuracy of online nutrition-related information: a systematic review of content analysis studies |
title_sort | quality and accuracy of online nutrition-related information: a systematic review of content analysis studies |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346027/ https://www.ncbi.nlm.nih.gov/pubmed/37138366 http://dx.doi.org/10.1017/S1368980023000873 |
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