Psychological language on Twitter predicts county-level heart disease mortality.

@article{Eichstaedt2015PsychologicalLO,
  title={Psychological language on Twitter predicts county-level heart disease mortality.},
  author={Johannes C. Eichstaedt and H. Andrew Schwartz and Margaret L. Kern and Gregory J. Park and Darwin R. Labarthe and Raina M Merchant and Sneha Jha and M. Agrawal and Lukasz Dziurzynski and Maarten Sap and Christopher Weeg and Emily E Larson and Lyle H. Ungar and Martin E. P. Seligman},
  journal={Psychological science},
  year={2015},
  volume={26 2},
  pages={159-69}
}
Hostility and chronic stress are known risk factors for heart disease, but they are costly to assess on a large scale. We used language expressed on Twitter to characterize community-level psychological correlates of age-adjusted mortality from atherosclerotic heart disease (AHD). Language patterns reflecting negative social relationships, disengagement, and negative emotions-especially anger-emerged as risk factors; positive emotions and psychological engagement emerged as protective factors… CONTINUE READING
91 Citations
61 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 91 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 61 references

A review of spatial methods in epidemiology

  • A V.
  • 2012
Highly Influential
11 Excerpts

The association of anger

  • A. Steptoe
  • 2009
Highly Influential
1 Excerpt

Twitter and status updating , fall 2009

  • S. Fox, K. Zickurh, A. Smith
  • 2009
Highly Influential
1 Excerpt

Twitter and status updating, fall 2009. Retrieved from Pew Research Internet Project Web site: http://www.pewinternet.org/2009/10/21/ twitter-and-status-updating-fall-2009

  • S. Fox, K. Zickurh, A. Smith
  • 2009
Highly Influential
1 Excerpt

Similar Papers

Loading similar papers…