ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2023
What does Google Trends reveal about the proportion of waterpipe users in the Brazilian population?
Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveTo analyze the relationship between internet search volume and the prevalence of waterpipe use among young Brazilians in 2019.
methodsThis was a descriptive study with data from Brazil in 2019, using the relative search volume on waterpipes extracted from Google Trends and the proportion of waterpipe users aged between 15 and 24 years, as measured by the National Health Survey (Pesquisa Nacional de Saúde - PNS), and aged between 13 and 17 years, as measured by the National Adolescent School-based Health Survey (Pesquisa Nacional de Saúde do Escolar - PeNSE). The relationship was assessed by means of Spearman's correlation.
resultsThe point prevalence of waterpipe use across the Brazilian Federative Units (FUs) showed a moderate (r = 0.51; PNS) to strong correlation (r = 0.74 and r = 0.80; PeNSE) with the relative search volume (p-value < 0.05).
conclusionGoogle Trends can support the monitoring system on waterpipe use in the FUs, providing additional information to existing population-based surveys. MAIN
resultsThe search volume for waterpipes by states in Brazil, as measured by Google Trends, showed a moderate to high correlation with the respective proportions of current use and experimentation of waterpipe among the adolescent/young adult population. IMPLICATIONS FOR SERVICES: The use of Google Trends as a support to the monitoring system for waterpipe consumption in Brazil warrants further exploration in terms of the validity of additional information to existing population surveys. PERSPECTIVES: Expanding the use of Google Trends searches to assess its potential in monitoring other health risk products and detecting (or predicting) incidence or seasonality of health-related events.
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