Evidence map›Paper›PMID 31452863›Full record

Article2018 IEEE International Conference on Healthcare Informatics Workshops : proceedings : 4-7 June 2018, New York, NY. International Conference on Healthcare Informatics (6th : 2018 : New York, N.Y.). Workshops2018

Detecting Signals of Associations between Dietary Supplement Use and Mental Disorders from Twitter.

Yefeng Wang, Yunpeng Zhao, Jiang Bian, Rui Zhang

Abstract read
In one paragraph

Article in 2018 IEEE International Conference on Healthcare Informatics Workshops : proceedings : 4-7 June 2018, New York, NY. International Conference on Healthcare Informatics (6th : 2018 : New York, N.Y.). Workshops, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yefeng WangInsititute for Health Informatics, University of Minnesota, Minneapolis, MN, wang4688@umn.edu.
Yunpeng ZhaoDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, yup111@ufl.edu.
Jiang BianDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, bianjiang@ufl.edu.
Rui ZhangInstitute for Health Informatics, and College of Pharmacy, University of Minnesota, Minneapolis, MN, zhan1386@umn.edu.

Funding

A Translational Informatics Framework to Mine Efficacy and Safety of Dietary SupplementsR01AT009457 · NCCIH · UNIVERSITY OF MINNESOTA · PI RUI ZHANG · 2017 to 2026
$4.1M
NCCIH NIH HHS R01 AT009457
6 · The paper itself

Abstract

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.

Indexed as

mental health signalsnatural language processingsocial mediaTwitter

Identifiers

PMID31452863
PMCPMC6709977

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.