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You Are What You Tweet: Connecting the Geographic Variation in America's Obesity Rate to Twitter Content.

Gore RJ, Diallo S, Padilla J - PLoS ONE (2015)

Bottom Line: We do so by analyzing a massive, geo-tagged data set comprising over 200 million words generated over the course of 2012 and 2013 on the social network service Twitter.Among many results, we show that areas with lower obesity rates: (1) have happier tweets and frequently discuss (2) food, particularly fruits and vegetables, and (3) physical activities of any intensity.Additionally, we provide evidence that each of these results offer different and unique insight into the variation of the obesity rate in urban areas within the United States.

View Article: PubMed Central - PubMed

Affiliation: Virginia Modeling, Analysis and Simulation Center, Old Dominion University, Norfolk, VA, United States of America.

ABSTRACT
We conduct a detailed investigation of the relationship among the obesity rate of urban areas and expressions of happiness, diet and physical activity on social media. We do so by analyzing a massive, geo-tagged data set comprising over 200 million words generated over the course of 2012 and 2013 on the social network service Twitter. Among many results, we show that areas with lower obesity rates: (1) have happier tweets and frequently discuss (2) food, particularly fruits and vegetables, and (3) physical activities of any intensity. Additionally, we provide evidence that each of these results offer different and unique insight into the variation of the obesity rate in urban areas within the United States. Our work shows how the contents of social media may potentially be used to estimate real-time, population-scale measures of factors related to obesity.

No MeSH data available.


Related in: MedlinePlus

Correlation of obesity rate and (a) PA% and (b) paweighted over all MSAs in 2012 & 2013.
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pone.0133505.g005: Correlation of obesity rate and (a) PA% and (b) paweighted over all MSAs in 2012 & 2013.

Mentions: Our first physical activity measure, Physical Activity % (PA%) measures the ratio of Physical Activity related tweets compared to the total number of tweets. Our second measure weights physical activities according to the intensity levels published by guidelines of the ACSM and CDC. These two measures are shown in Eqs 5 and 6. The Spearman correlation between PA% and obesity rate and paweighted and obesity rate in all MSAs over 2012 and 2013 is shown in Fig 5(a) and 5(b).


You Are What You Tweet: Connecting the Geographic Variation in America's Obesity Rate to Twitter Content.

Gore RJ, Diallo S, Padilla J - PLoS ONE (2015)

Correlation of obesity rate and (a) PA% and (b) paweighted over all MSAs in 2012 & 2013.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4557976&req=5

pone.0133505.g005: Correlation of obesity rate and (a) PA% and (b) paweighted over all MSAs in 2012 & 2013.
Mentions: Our first physical activity measure, Physical Activity % (PA%) measures the ratio of Physical Activity related tweets compared to the total number of tweets. Our second measure weights physical activities according to the intensity levels published by guidelines of the ACSM and CDC. These two measures are shown in Eqs 5 and 6. The Spearman correlation between PA% and obesity rate and paweighted and obesity rate in all MSAs over 2012 and 2013 is shown in Fig 5(a) and 5(b).

Bottom Line: We do so by analyzing a massive, geo-tagged data set comprising over 200 million words generated over the course of 2012 and 2013 on the social network service Twitter.Among many results, we show that areas with lower obesity rates: (1) have happier tweets and frequently discuss (2) food, particularly fruits and vegetables, and (3) physical activities of any intensity.Additionally, we provide evidence that each of these results offer different and unique insight into the variation of the obesity rate in urban areas within the United States.

View Article: PubMed Central - PubMed

Affiliation: Virginia Modeling, Analysis and Simulation Center, Old Dominion University, Norfolk, VA, United States of America.

ABSTRACT
We conduct a detailed investigation of the relationship among the obesity rate of urban areas and expressions of happiness, diet and physical activity on social media. We do so by analyzing a massive, geo-tagged data set comprising over 200 million words generated over the course of 2012 and 2013 on the social network service Twitter. Among many results, we show that areas with lower obesity rates: (1) have happier tweets and frequently discuss (2) food, particularly fruits and vegetables, and (3) physical activities of any intensity. Additionally, we provide evidence that each of these results offer different and unique insight into the variation of the obesity rate in urban areas within the United States. Our work shows how the contents of social media may potentially be used to estimate real-time, population-scale measures of factors related to obesity.

No MeSH data available.


Related in: MedlinePlus