Evidence map›Paper›PMID 37971794›Full record

ArticleJMIR formative research2023

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

Kentaro Murakami, Nana Shinozaki, Nana Kimoto, Hiroko Onodera, Fumi Oono, Tracy A McCaffrey, M Barbara E Livingstone, Tsuyoshi Okuhara, Mai Matsumoto, Ryoko Katagiri and 4 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 3 countries.

Kentaro MurakamiDepartment of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4189-7753
Nana ShinozakiDepartment of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8998-5066
Nana KimotoDepartment of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0009-0003-6672-4976
Hiroko OnoderaDepartment of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0009-0008-8702-0245
Fumi OonoDepartment of Social and Preventive Epidemiology, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9100-7387
Tracy A McCaffreyDepartment of Nutrition, Dietetics and Food, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9699-3083
M Barbara E LivingstoneNutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom.ORCID https://orcid.org/0000-0001-5687-4530
Tsuyoshi OkuharaDepartment of Health Communication, School of Public Health, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6251-3587
Mai MatsumotoDepartment of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6788-0212
Ryoko KatagiriDepartment of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4867-2450
Erika OtaGlobal Health Nursing, Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3945-7441
Tsuyoshi ChibaDepartment of Food Function and Labeling, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7853-6089
Yuki NishidaDepartment of Biostatistics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8056-1515
Satoshi SasakiDepartment of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6419-4495
The University of Tokyo · JPNational Institute of Biomedical Innovation, Health and Nutrition · JPMonash University · AUSt. Luke's International University · JPTokyo Medical and Dental University · JPUniversity of Tokyo Health Sciences · JPUniversity of Ulster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

objectiveThis 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.

methodsWe 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.

resultsThe 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%).

conclusionsThis 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.

Indexed as

dietinformationinternetJapanese languagenutritionweb

Identifiers

PMID37971794
PMCPMC10690527
OpenAlexW4388722389

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.