Tweeting back: predicting new cases of back pain with mass social media data
Date
2016
Authors
Lee, H.
McAuley, J.H.
Hübscher, M.
Allen, H.G.
Kamper, S.J.
Moseley, G.L.
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Journal article
Citation
Journal of the American Medical Informatics Association : JAMIA, 2016; 23(3):644-648
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Abstract
Background Back pain is a global health problem. Recent research has shown that risk factors that are proximal to the onset of back pain might be important targets for preventive interventions. Rapid communication through social media might be useful for delivering timely interventions that target proximal risk factors. Identifying individuals who are likely to discuss back pain on Twitter could provide useful information to guide on- line interventions. Methods We used a case-crossover study design for a sample of 742 028 tweets about back pain to quantify the risks associated with a new tweet about back pain. Results The odds of tweeting about back pain just after tweeting about selected physical, psychological, and general health factors were 1.83 (95% confidence interval [CI], 1.80-1.85), 1.85 (95% CI: 1.83-1.88), and 1.29 (95% CI, 1.27-1.30), respectively. Conclusion These findings give directions for future research that could use social media for innovative public health interventions.
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Copyright The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association