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      Web-Based Content on Diet and Nutrition Written in Japanese: Infodemiology Study Based on Google Trends and Google Search

      research-article
      , BEd, MSc, PhD 1 , , , MPH, RD, PhD 1 , , RD 1 , , RD 1 , , MSc, RD 2 , , BSc, PhD 3 , , BEd, MSc, PhD 4 , , MPH, PhD 5 , , MSc, RD, PhD 6 , , MPH, MD, PhD 6 , , BSN, MHSc, PhD 7 , 8 , , PhD 9 , , BEd, MSc 10 , , BSc, MD, PhD 1 , 2
      (Reviewer), (Reviewer), (Reviewer)
      JMIR Formative Research
      JMIR Publications
      diet, nutrition, information, internet, web, Japanese language

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          Abstract

          Background

          The increased availability of content of uncertain integrity obtained through the internet is a major concern. To date, however, there has been no comprehensive scrutiny of the fitness-for-purpose of web-based content on diet and nutrition.

          Objective

          This cross-sectional study aims to describe diet- and nutrition-related web-based content written in Japanese, identified via a systematic extraction strategy using Google Trends and Google Search.

          Methods

          We first identified keywords relevant for extracting web-based content (eg, blogs) on diet and nutrition written in Japanese using Google Trends. This process included identification of 638 seed terms, identification of approximately 1500 pairs of related queries (top) and search terms, the top 10% of which were extracted to identify 160 relevant pairs of related queries (top) and search terms, and identification of 107 keywords for search. We then extracted relevant web-based content using Google Search.

          Results

          The content (N=1703) examined here was extracted following a search based on 107 keywords. The most common themes included food and beverages (390/1703, 22.9%), weight management (366/1703, 21.49%), health benefits (261/1703, 15.33%), and healthy eating (235/1703, 13.8%). The main disseminators were information technology companies and mass media (474/1703, 27.83%), food manufacturers (246/1703, 14.45%), other (236/1703, 13.86%), and medical institutions (214/1703, 12.57%). Less than half of the content (790/1703, 46.39%) clearly indicated the involvement of editors or writers. More than half of the content (983/1703, 57.72%) was accompanied by one or more types of advertisement. The proportion of content with any type of citation reference was 40.05% (682/1703). The themes and disseminators of content were significantly associated with the involvement of editors or writers, accompaniment with advertisement, and citation of reference. In particular, content focusing on weight management was more likely to clearly indicate the involvement of editors or writers (212/366, 57.9%) and to be accompanied by advertisement (273/366, 74.6%), but less likely to have references cited (128/366, 35%). Content from medical institutions was less likely to have citation references (62/214, 29%).

          Conclusions

          This study highlights concerns regarding the authorship, conflicts of interest (advertising), and the scientific credibility of web-based diet- and nutrition-related information written in Japanese. Nutrition professionals and experts should take these findings seriously because exposure to nutritional information that lacks context or seems contradictory can lead to confusion and backlash among consumers. However, more research is needed to draw firm conclusions about the accuracy and quality of web-based diet- and nutrition-related content and whether similar results can be obtained in other major mass media or social media outlets and even other languages.

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          Most cited references39

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          The Use of Google Trends in Health Care Research: A Systematic Review

          Background Google Trends is a novel, freely accessible tool that allows users to interact with Internet search data, which may provide deep insights into population behavior and health-related phenomena. However, there is limited knowledge about its potential uses and limitations. We therefore systematically reviewed health care literature using Google Trends to classify articles by topic and study aim; evaluate the methodology and validation of the tool; and address limitations for its use in research. Methods and Findings PRISMA guidelines were followed. Two independent reviewers systematically identified studies utilizing Google Trends for health care research from MEDLINE and PubMed. Seventy studies met our inclusion criteria. Google Trends publications increased seven-fold from 2009 to 2013. Studies were classified into four topic domains: infectious disease (27% of articles), mental health and substance use (24%), other non-communicable diseases (16%), and general population behavior (33%). By use, 27% of articles utilized Google Trends for casual inference, 39% for description, and 34% for surveillance. Among surveillance studies, 92% were validated against a reference standard data source, and 80% of studies using correlation had a correlation statistic ≥0.70. Overall, 67% of articles provided a rationale for their search input. However, only 7% of articles were reproducible based on complete documentation of search strategy. We present a checklist to facilitate appropriate methodological documentation for future studies. A limitation of the study is the challenge of classifying heterogeneous studies utilizing a novel data source. Conclusion Google Trends is being used to study health phenomena in a variety of topic domains in myriad ways. However, poor documentation of methods precludes the reproducibility of the findings. Such documentation would enable other researchers to determine the consistency of results provided by Google Trends for a well-specified query over time. Furthermore, greater transparency can improve its reliability as a research tool.
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            Comparison of weight loss among named diet programs in overweight and obese adults: a meta-analysis.

            Many claims have been made regarding the superiority of one diet or another for inducing weight loss. Which diet is best remains unclear.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Credibility and trust of information in online environments: The use of cognitive heuristics

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                Author and article information

                Contributors
                Journal
                JMIR Form Res
                JMIR Form Res
                JFR
                JMIR Formative Research
                JMIR Publications (Toronto, Canada )
                2561-326X
                2023
                16 November 2023
                : 7
                : e47101
                Affiliations
                [1 ] Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo Tokyo Japan
                [2 ] Department of Social and Preventive Epidemiology, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo Tokyo Japan
                [3 ] Department of Nutrition, Dietetics and Food Monash University Melbourne Australia
                [4 ] Nutrition Innovation Centre for Food and Health (NICHE) School of Biomedical Sciences Ulster University Coleraine United Kingdom
                [5 ] Department of Health Communication, School of Public Health, The University of Tokyo Tokyo Japan
                [6 ] Department of Nutritional Epidemiology and Shokuiku National Institutes of Biomedical Innovation, Health and Nutrition Tokyo Japan
                [7 ] Global Health Nursing, Graduate School of Nursing Science St. Luke’s International University Tokyo Japan
                [8 ] Tokyo Foundation for Policy Research Tokyo Japan
                [9 ] Department of Food Function and Labeling, National Institutes of Biomedical Innovation, Health and Nutrition Tokyo Japan
                [10 ] Department of Biostatistics M&D Data Science Center Tokyo Medical and Dental University Tokyo Japan
                Author notes
                Corresponding Author: Kentaro Murakami kenmrkm@ 123456m.u-tokyo.ac.jp
                Author information
                https://orcid.org/0000-0002-4189-7753
                https://orcid.org/0000-0002-8998-5066
                https://orcid.org/0009-0003-6672-4976
                https://orcid.org/0009-0008-8702-0245
                https://orcid.org/0000-0001-9100-7387
                https://orcid.org/0000-0001-9699-3083
                https://orcid.org/0000-0001-5687-4530
                https://orcid.org/0000-0002-6251-3587
                https://orcid.org/0000-0002-6788-0212
                https://orcid.org/0000-0002-4867-2450
                https://orcid.org/0000-0002-3945-7441
                https://orcid.org/0000-0002-7853-6089
                https://orcid.org/0000-0002-8056-1515
                https://orcid.org/0000-0002-6419-4495
                Article
                v7i1e47101
                10.2196/47101
                10690527
                37971794
                1b036137-415b-404a-b991-c07e9055f5f7
                ©Kentaro Murakami, Nana Shinozaki, Nana Kimoto, Hiroko Onodera, Fumi Oono, Tracy A McCaffrey, M Barbara E Livingstone, Tsuyoshi Okuhara, Mai Matsumoto, Ryoko Katagiri, Erika Ota, Tsuyoshi Chiba, Yuki Nishida, Satoshi Sasaki. Originally published in JMIR Formative Research (https://formative.jmir.org), 16.11.2023.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

                History
                : 8 March 2023
                : 16 August 2023
                : 28 August 2023
                : 15 September 2023
                Categories
                Original Paper
                Original Paper

                diet,nutrition,information,internet,web,japanese language
                diet, nutrition, information, internet, web, japanese language

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