Dataset Information

Infodemiological data of Ironman Triathlon in the study period 2004-2013.

ABSTRACT: This article reports data concerning the Internet-related activities and interest for Ironman Triathlon competition. Google Trends (GT) was used and mined from 2004 onwards. The interest for Ironman Triathlon was found to be cyclic over time. The Triathlon-related Internet activities negatively correlated with the number of finishers per year (Pearson׳s correlation r=-0.690, p-value<0.05), while an increasing participation of female athletes who were less likely to surf the Internet could be noticed (r=-0.811, p-value<0.05). Further, younger athletes, who were more likely to access the web, were underrepresented in the Ironman Triathlon event. Moreover, there was a correlation between the biking time and the Internet query volumes (r=0.590, p-value<0.05), and, in particular, for the male athletes (r=0.664, p-value<0.05). Finally, the countries which most contributed to the Internet query volumes were those with the highest number of medals.

SUBMITTER: Mnadla S

PROVIDER: S-EPMC5018091 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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Infodemiological data of Ironman Triathlon in the study period 2004-2013.

Mnadla Sofiane S Bragazzi Nicola Luigi NL Rouissi Mehdi M Chaalali Anis A Siri Anna A Padulo Johnny J Ardigò Luca Paolo LP Brigo Francesco F Chamari Karim K Knechtle Beat B

Data in brief 20160827

This article reports data concerning the Internet-related activities and interest for Ironman Triathlon competition. Google Trends (GT) was used and mined from 2004 onwards. The interest for Ironman Triathlon was found to be cyclic over time. The Triathlon-related Internet activities negatively correlated with the number of finishers per year (Pearson׳s correlation r=-0.690, p-value<0.05), while an increasing participation of female athletes who were less likely to surf the Internet could be not ...[more]

PMID: 27642618

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Project description:BACKGROUND:Different studies have suggested that web search data are useful in forecasting several phenomena from the field of economics to epidemiology or health issues. OBJECTIVE:This study aimed to (1) evaluate the correlation between suicide rates released by the Spanish National Statistics Institute (INE) and internet search trends in Spain reported by Google Trends (GT) for 57 suicide-related terms representing major known risks of suicide and an analysis of these results using a linear regression model and (2) study the differential association between male and female suicide rates published by the INE and internet searches of these 57 terms. METHODS:The study period was from 2004 to 2013. In this study, suicide data were collected from (1) Spain's INE and (2) local internet search data from GT, both from January 2004 to December 2013. We investigated and validated 57 suicide-related terms already tested in scientific studies before 2015 that would be the best predictors of new suicide cases. We then evaluated the nowcasting effects of a GT search through a cross-correlation analysis and by linear regression of the suicide incidence data with the GT data. RESULTS:Suicide rates in Spain in the study period were positively associated (r<-0.2) for the general population with the search volume for 7 terms and negatively for 1 from the 57 terms used in previous studies. Suicide rates for men were found to be significantly different than those of women. The search term, "allergy," demonstrated a lead effect for new suicide cases (r=0.513; P=.001). The next significant correlating terms for those 57 studied were "antidepressant," "alcohol abstinence," "relationship breakup" (r=0.295, P=.001; r=0.295, P=.001; and r=0.268, P=.002, respectively). Significantly different results were obtained for men and women. Search terms that correlate with suicide rates of women are consistent with previous studies, showing that the incidence of depression is higher in women than in men, and showing different gender searching patterns. CONCLUSIONS:A better understanding of internet search behavior of both men and women in relation to suicide and related topics may help design effective suicide prevention programs based on information provided by search robots and other big data sources.

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Dataset Information

Infodemiological data of Ironman Triathlon in the study period 2004-2013.

Publications

Infodemiological data of Ironman Triathlon in the study period 2004-2013.

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