Evidence map›Paper›PMID 34835939›Full record

ArticleNutrients2021

Wikipedia, Google Trends and Diet: Assessment of Temporal Trends in the Internet Users' Searches in Italy before and during COVID-19 Pandemic.

Daniele Nucci, Omar Enzo Santangelo, Mariateresa Nardi, Sandro Provenzano, Vincenza Gianfredi

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Altered Food Behavior and Cancer: A Systematic Review of the Literature.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. How COVID-19 Pandemic Has Influenced Public Interest in Foods: A Google Trends Analysis of Italian Data.International journal of environmental research and public health · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Article
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

5 authors.

Daniele NucciNutritional Support Unit, Veneto Institute of Oncology IOV-IRCCS, Via Gattamelata 64, 35128 Padua, Italy.ORCID 0000-0003-4546-213X
Omar Enzo SantangeloRegional Health Care and Social Agency of Lodi, ASST Lodi, Piazza Ospitale, 10, 26900 Lodi, Italy.ORCID 0000-0003-2017-3665
Mariateresa NardiNutritional Support Unit, Veneto Institute of Oncology IOV-IRCCS, Via Gattamelata 64, 35128 Padua, Italy.ORCID 0000-0003-4679-5665
Sandro ProvenzanoLocal Health Unit of Trapani, ASP Trapani, Via G. Mazzini, 1, 91100 Trapani, Italy.ORCID 0000-0001-7179-7246
Vincenza GianfrediSchool of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.ORCID 0000-0003-3848-981X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We obtained data from Google Trends and Wikipedia in order to assess whether an analysis of Internet searches could provide information on the Internet users' behaviour/interest in diets. Differences in seasonality, year and before/during COVID-19 pandemic were assessed. From Wikipedia, we extracted the number of times a page is viewed by users, aggregated on monthly and seasonal bases. We also used Google Trends to evaluate the frequency of the users' web searches. The Mediterranean diet was the most frequently (33.9%), followed by the pescatarian diet (9.0%). Statistically, significant seasonal differences were found for the Mediterranean, vegetarian, Atkins, Scarsdale, and zone diets and pescetarianism. The most commonly searched diet and consequent diet-related queries on Google resulted to be: Dukan diet, Dukan and weight loss. Ketogenic, FODMAP and intermittent fasting diets were statistically more frequently searched during the pandemic compared with before. Our data show a different trend of searches based on the seasonality, year and the pandemic. These data could be useful for scientists, practitioners and policy makers because they can inform educational campaigns via the Internet, especially in periods when the population is more receptive.

Indexed as

COVID-19Consumer Health InformationDiet, HealthyHumansInternet UseItalyNutritive ValueSearch EngineSeasonsTime FactorsWeight Lossbig datadietGoogle TrendsWikipediaWikitrends

Identifiers

PMID34835939
PMCPMC8620684

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.