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Study · Not a test of the peptide alone · 2021

7 results

Areas of Interest and Attitudes Toward Antiobesity Drugs: Thematic and Quantitative Analysis Using Twitter.

Alvarez-Mon MA, Llavero-Valero M, Asunsolo Del Barco A, Zaragozá C, Ortega MA, Lahera G, Quintero J, Alvarez-Mon M

Journal of medical Internet research26 Oct 2021Cited by 26 (Europe PMC)

PMID34698653 (opens in a new tab)PMCIDPMC8579215 (opens in a new tab)DOI10.2196/24336 (opens in a new tab)PepBankPUB-34698653
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Summary

BackgroundAntiobesity drugs are prescribed for the treatment of obesity in conjunction with healthy eating, physical activity, and behavior modification. However, poor adherence rates have been reported. Attitudes or beliefs toward medications are important to ascertain because they may be associated with patient behavior. The analysis of tweets has become a tool for health research.ObjectiveThe aim of this study is to investigate the content and key metrics of tweets referring to antiobesity drugs.MethodsIn this observational quantitative and qualitative study, we focused on tweets containing hashtags related to antiobesity drugs between September 20, 2019, and October 31, 2019. Tweets were first classified according to whether they described medical issues or not. Tweets with medical content were classified according to the topic they referred to: side effects, efficacy, or adherence. We additionally rated it as positive or negative. Furthermore, we classified any links included within a tweet as either scientific or nonscientific. Finally, the number of retweets generated as well as the dissemination and sentiment score obtained by the antiobesity drugs analyzed were also measured.ResultsWe analyzed a total of 2045 tweets, 945 of which were excluded according to the criteria of the study. Finally, 320 out of the 1,100 remaining tweets were also excluded because their content, although related to drugs for obesity treatment, did not address the efficacy, side effects, or adherence to medication. Liraglutide and semaglutide accumulated the majority of tweets (682/780, 87.4%). Notably, the content that generated the highest frequency of tweets was related to treatment efficacy, with liraglutide-, semaglutide-, and lorcaserin-related tweets accumulating the highest proportion of positive consideration. We found the highest percentages of tweets with scientific links in those posts related to liraglutide and semaglutide. Semaglutide-related tweets obtained the highest probability of likes and were the most disseminated within the Twitter community.ConclusionsThis analysis of posted tweets related to antiobesity drugs shows that the interest, beliefs, and experiences regarding these pharmacological treatments are heterogeneous. The efficacy of the treatment accounts for the majority of interest among Twitter users.
CC BYText from Europe PMC. Highlighted sentences are the source of results.

Results from this study7

No result from this study comes from a test of the peptide.

Studies that did not test the peptide alone7

In this study, the peptide was a lab tool or a carrier, part of a mix, or the subject of a lab method. These results are not evidence about taking the peptide.

  1. 01HumanNot a test of Liraglutide aloneObservational studyOther

    In an analysis of 780 tweets on antiobesity drugs, liraglutide and semaglutide together accounted for most tweets (682/780, 87.4%).

    In plain wordsIn a study of tweets about weight-loss drugs, liraglutide and semaglutide together made up most of the tweets.

    Peptide
    Liraglutide
    Outcome
    Not applicableShare of antiobesity drug tweets
    Study

    n: not reported in source

    Outcome group
    Patterns of use · Whole body

    Measurements

    Share of tweets
    87.4%
    liraglutide and semaglutide together

    Source sentences

    Summary
    Liraglutide and semaglutide accumulated the majority of tweets (682/780, 87.4%).
    1 context sentence
    Summary · context
    In this observational quantitative and qualitative study, we focused on tweets containing hashtags related to antiobesity drugs between September 20, 2019, and October 31, 2019.

    In this study, Liraglutide was a lab tool or a carrier, part of a mix, or the subject of a lab method. This result is not evidence about taking Liraglutide.

  2. 02HumanNot a test of Semaglutide aloneObservational studyOther

    In an analysis of 780 tweets on antiobesity drugs, liraglutide and semaglutide together accounted for most tweets (682/780, 87.4%).

    In plain wordsIn a study of tweets about weight-loss drugs, liraglutide and semaglutide together made up most of the tweets.

    Peptide
    Semaglutide
    Outcome
    Not applicableShare of antiobesity drug tweets
    Study

    n: not reported in source

    Outcome group
    Patterns of use · Whole body

    Measurements

    Share of tweets
    87.4%
    liraglutide and semaglutide together

    Source sentences

    Summary
    Liraglutide and semaglutide accumulated the majority of tweets (682/780, 87.4%).
    1 context sentence
    Summary · context
    In this observational quantitative and qualitative study, we focused on tweets containing hashtags related to antiobesity drugs between September 20, 2019, and October 31, 2019.

    In this study, Semaglutide was a lab tool or a carrier, part of a mix, or the subject of a lab method. This result is not evidence about taking Semaglutide.

  3. 03HumanNot a test of Liraglutide aloneObservational studyOther

    In an analysis of tweets on antiobesity drugs, liraglutide-related tweets about efficacy accumulated one of the highest proportions of positive consideration.

    In plain wordsIn a study of tweets, posts about liraglutide working well were among the most positive.

    Peptide
    Liraglutide
    Outcome
    Not applicablePositive sentiment in efficacy tweets
    Study

    n: not reported in source

    Outcome group
    Patterns of use · Whole body

    Source sentences

    Summary
    Notably, the content that generated the highest frequency of tweets was related to treatment efficacy, with liraglutide-, semaglutide-, and lorcaserin-related tweets accumulating the highest proportion of positive consideration.
    1 context sentence
    Summary · context
    In this observational quantitative and qualitative study, we focused on tweets containing hashtags related to antiobesity drugs between September 20, 2019, and October 31, 2019.

    In this study, Liraglutide was a lab tool or a carrier, part of a mix, or the subject of a lab method. This result is not evidence about taking Liraglutide.

  4. 04HumanNot a test of Semaglutide aloneObservational studyOther

    In an analysis of tweets on antiobesity drugs, semaglutide-related tweets about efficacy accumulated one of the highest proportions of positive consideration.

    In plain wordsIn a study of tweets, posts about semaglutide working well were among the most positive.

    Peptide
    Semaglutide
    Outcome
    Not applicablePositive sentiment in efficacy tweets
    Study

    n: not reported in source

    Outcome group
    Patterns of use · Whole body

    Source sentences

    Summary
    Notably, the content that generated the highest frequency of tweets was related to treatment efficacy, with liraglutide-, semaglutide-, and lorcaserin-related tweets accumulating the highest proportion of positive consideration.
    1 context sentence
    Summary · context
    In this observational quantitative and qualitative study, we focused on tweets containing hashtags related to antiobesity drugs between September 20, 2019, and October 31, 2019.

    In this study, Semaglutide was a lab tool or a carrier, part of a mix, or the subject of a lab method. This result is not evidence about taking Semaglutide.

  5. 05HumanNot a test of Liraglutide aloneObservational studyOther

    In an analysis of tweets on antiobesity drugs, liraglutide-related posts had one of the highest percentages of tweets with scientific links.

    In plain wordsIn a study of tweets, posts about liraglutide were among those most likely to link to scientific sources.

    Peptide
    Liraglutide
    Outcome
    Not applicableTweets with scientific links
    Study

    n: not reported in source

    Outcome group
    Patterns of use · Whole body

    Source sentences

    Summary
    We found the highest percentages of tweets with scientific links in those posts related to liraglutide and semaglutide.
    1 context sentence
    Summary · context
    In this observational quantitative and qualitative study, we focused on tweets containing hashtags related to antiobesity drugs between September 20, 2019, and October 31, 2019.

    In this study, Liraglutide was a lab tool or a carrier, part of a mix, or the subject of a lab method. This result is not evidence about taking Liraglutide.

  6. 06HumanNot a test of Semaglutide aloneObservational studyOther

    In an analysis of tweets on antiobesity drugs, semaglutide-related posts had one of the highest percentages of tweets with scientific links.

    In plain wordsIn a study of tweets, posts about semaglutide were among those most likely to link to scientific sources.

    Peptide
    Semaglutide
    Outcome
    Not applicableTweets with scientific links
    Study

    n: not reported in source

    Outcome group
    Patterns of use · Whole body

    Source sentences

    Summary
    We found the highest percentages of tweets with scientific links in those posts related to liraglutide and semaglutide.
    1 context sentence
    Summary · context
    In this observational quantitative and qualitative study, we focused on tweets containing hashtags related to antiobesity drugs between September 20, 2019, and October 31, 2019.

    In this study, Semaglutide was a lab tool or a carrier, part of a mix, or the subject of a lab method. This result is not evidence about taking Semaglutide.

  7. 07HumanNot a test of Semaglutide aloneObservational studyOther

    In an analysis of tweets on antiobesity drugs, semaglutide-related tweets had the highest probability of likes and were the most disseminated.

    In plain wordsIn a study of tweets, posts about semaglutide were the most liked and most widely shared.

    Peptide
    Semaglutide
    Outcome
    Not applicableLikes and dissemination of tweets
    Study

    n: not reported in source

    Outcome group
    Patterns of use · Whole body

    Source sentences

    Summary
    Semaglutide-related tweets obtained the highest probability of likes and were the most disseminated within the Twitter community.
    1 context sentence
    Summary · context
    In this observational quantitative and qualitative study, we focused on tweets containing hashtags related to antiobesity drugs between September 20, 2019, and October 31, 2019.

    In this study, Semaglutide was a lab tool or a carrier, part of a mix, or the subject of a lab method. This result is not evidence about taking Semaglutide.

AI wrote and checked these results. AI can make mistakes, so check important results against the source.

Version history

PepBank keeps every version of the data on this study. Status changes from Retraction Watch, Europe PMC and Crossref are listed with their source.

  1. Version 3Current

    12 Oct 2026, 11:11 UTC

    Study results updated

  2. Version 2

    9 Oct 2026, 03:06 UTC

    Study data updated · source update from Europe PMC

  3. Version 1

    9 Oct 2026, 03:05 UTC

    First added · source update from Europe PMC

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