In this study, we attempted to detect signals of association between dietary supplement use and mental disorders from Twitter. We collected tweets ranging from 2016 to 2017 which mention five dietary supplements. A case cohort of 257 users were identified by adapting a natural language processing method with further manually verified to have taken one supplement. We then randomly selected 257 users who had not taken any dietary supplement as the control cohort and compared the sentiment and mental health signals of their tweets to the case cohort. We have observed significant differences in the sad, anxious, and negative sentiment between the two cohorts. These results have shown that Twitter is a potential source for detecting signals of association between dietary supplement use and anxiety disorders, depression, and mood disorders.
|Original language||English (US)|
|Title of host publication||Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||2|
|State||Published - Jul 16 2018|
|Event||6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018 - New York, United States|
Duration: Jun 4 2018 → Jun 7 2018
|Name||Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018|
|Other||6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018|
|Period||6/4/18 → 6/7/18|
Bibliographical noteFunding Information:
This research was supported by National Center for Complementary & Integrative Health Award (R01AT009457) (PI: Zhang).
© 2018 IEEE.
- mental health signals
- natural language processing
- social media