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在线营养相关信息的质量和准确性:内容分析研究的系统评价。

Quality and accuracy of online nutrition-related information: a systematic review of content analysis studies.

机构信息

Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC3125, Australia.

出版信息

Public Health Nutr. 2023 Jul;26(7):1345-1357. doi: 10.1017/S1368980023000873. Epub 2023 May 4.

Abstract

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 ( 53, 82·8 %). Similar numbers of studies assessed quality ( 41, 64·1 %) and accuracy ( 47, 73·4 %). Almost half of the studies reported that quality ( 20, 48·8 %) or accuracy ( 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.

摘要

目的

本系统评价旨在总结网站和社交媒体上与营养相关信息的质量和准确性水平,并确定信息的质量和准确性是否在网站和社交媒体或信息发布者之间存在差异。

设计

本系统评价已在 PROSPERO(CRD42021224277)上注册。2021 年 1 月 15 日,系统检索了 CINAHL、MEDLINE、Embase、全球健康和学术搜索综合数据库,以确定评估网站或社交媒体上发布的营养相关信息质量和/或准确性的内容分析研究,这些研究均发表于 1989 年后的英文期刊。使用编码框架将研究关于信息质量和/或准确性的发现分类为差、好、中或多样。使用营养与饮食学会质量标准检查表评估偏倚风险。

设置

无。

参与者

无。

结果

从检索到的 10482 篇文章中,有 64 篇被纳入。大多数研究评估了网站上的信息(53 项,82.8%)。评估质量(41 项,64.1%)和准确性(47 项,73.4%)的研究数量相似。近一半的研究报告称信息质量(20 项,48.8%)或准确性(23 项,48.9%)较低。社交媒体和网站上的信息质量和准确性相似,但信息发布者之间存在差异。样本选择和质量或准确性评估的高偏倚风险是一个常见的局限性。

结论

在线营养相关信息往往不准确且质量较低。在线搜索信息的消费者有被错误信息误导的风险。需要采取更多行动来提高公众的电子健康和媒体素养,以及提高在线营养相关信息的可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/10346027/43bba00bf0bd/S1368980023000873_fig1.jpg

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