A Digital Cohort Approach for Social Media Monitoring: A Cohort Study of People Who Vape E-Cigarettes

被引:0
|
作者
Ayers, John W. [1 ,2 ,3 ]
Poliak, Adam [4 ]
Beros, Nikolas T. [1 ,5 ]
Paul, Michael [1 ]
Dredze, Mark [6 ]
Hogarth, Michael [3 ,7 ]
Smith, Davey M. [2 ,3 ]
机构
[1] Univ Calif San Diego, Qualcomm Inst, La Jolla, CA USA
[2] Univ Calif San Diego, Sch Med, Dept Med, Div Infect Dis & Global Publ Hlth, La Jolla, CA USA
[3] Univ Calif San Diego, Altman Clin Translat Res Inst, 9452 Med Ctr Dr, La Jolla, CA 92037 USA
[4] Bryn Mawr Coll, Dept Comp Sci, Bryn Mawr, PA USA
[5] Francis Parker High Sch, San Diego, CA USA
[6] Johns Hopkins Univ, Whiting Sch Engn, Dept Comp Sci, Baltimore, MD USA
[7] Univ Calif San Diego, Dept Biomed Informat, La Jolla, CA USA
关键词
TIPS;
D O I
10.1016/j.amepre.2024.01.016
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction: The evidence hierarchy in public health emphasizes longitudinal studies, whereas social media monitoring relies on aggregate analyses. Authors propose integrating longitudinal analyses into social media monitoring by creating a digital cohort of individual account holders, as demonstrated by a case study analysis of people who vape. Methods: All English language X posts mentioning vape or vaping were collected from January 1, 2017 through December 31, 2020. The digital cohort was composed of people who self-reported vaping and posted at least 10 times about vaping during the study period to determine the (1) prevalence, (2) success rate, and (3) timing of cessation behaviors. Results: There were 25,112 instances where an account shared at least 10 posts about vaping, with 619 (95% CI=616, 622) mean person-days and 43,810,531 cumulative person-days of observation. Among a random sample of accounts, 39% (95% CI=35, 43) belonged to persons who vaped. Among this digital cohort, 27% (95% CI=21, 33) reported making a quit attempt. For all fi rst quit attempts, 26% (95% CI=19, 33) were successful on the basis of their subsequent vaping posts. Among those with a failed fi rst cessation attempt, 13% (95% CI=6, 19) subsequently made an additional quit attempt, of whom 36% (95% CI=11, 61) were successful. On average, a quit attempt occurred 531 days (95% CI=474, 588) after their fi rst vaping-related post. If their quit attempt failed, any second quit attempt occurred 361 days (95% CI=250, 474) after their fi rst quit attempt. Conclusions: By aligning with standard epidemiologic surveillance practices, this approach can greatly enhance the usefulness of social media monitoring in informing public health decision making, such as yielding insights into the timing of cessation behaviors among people who vape. Am J Prev Med 2024;67(1):147-154. - 154. (c) 2024 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:147 / 154
页数:8
相关论文
共 50 条
  • [1] Correlates of using E-cigarettes with high nicotine concentrations among US adults who exclusively vape E-cigarettes or dual use with cigarettes
    Dai, Hongying Daisy
    Buckley, James
    Leventhal, Adam M.
    [J]. ADDICTIVE BEHAVIORS, 2024, 153
  • [2] Cannabis use among youth who vape nicotine E-cigarettes: A qualitative analysis
    Davis, Danielle R.
    Bold, Krysten W.
    Kong, Grace
    Cavallo, Dana A.
    Jackson, Asti
    Krishnan-Sarin, Suchitra
    [J]. DRUG AND ALCOHOL DEPENDENCE, 2022, 234
  • [3] To what extent does time spent on social media influence adolescent use of cigarettes and e-cigarettes: a longitudinal analysis of the UK Millennium Cohort Study
    Purba, Amrit Kaur
    Henderson, Marion
    Baxter, Andrew
    Pearce, Anna
    Katikireddi, S. Vittal
    [J]. LANCET, 2022, 400 : 73 - 73
  • [4] Associations of social media use with smoking and e-cigarettes: a national longitudinal study
    Vrinten, Charlotte
    Parnham, Jennie C.
    Rado, Marta K.
    Filippidis, Filippos T.
    Vamos, Eszter
    Laverty, Anthony A.
    [J]. LANCET, 2023, 402 : 91 - 91
  • [5] The danger of flavor: E-cigarettes, social media, and the interplay of generations
    Krishen, Anjala S.
    Hu, Han-fen
    Spivak, Andrew L.
    Venger, Olesya
    [J]. JOURNAL OF BUSINESS RESEARCH, 2021, 132 : 884 - 896
  • [6] E-cigarettes and social media: attitudes and perceptions of young adults to social media messages
    Alpert, Jordan M.
    Chen, Huan
    Adams, Kelsy-Ann
    [J]. ADDICTION RESEARCH & THEORY, 2020, 28 (05) : 387 - 396
  • [7] Is vaping cessation like smoking cessation? A qualitative study exploring the responses of youth and young adults who vape e-cigarettes
    Sanchez, Sherald
    Kaufman, Pamela
    Pelletier, Hayley
    Baskerville, Bruce
    Feng, Patrick
    O'Connor, Shawn
    Schwartz, Robert
    Chaiton, Michael
    [J]. ADDICTIVE BEHAVIORS, 2021, 113
  • [8] Social Media Message Designs to Educate Adolescents About E-Cigarettes
    Lazard, Allison J.
    [J]. JOURNAL OF ADOLESCENT HEALTH, 2021, 68 (01) : 130 - 137
  • [9] Smoking, e-cigarettes and the effect on respiratory symptoms among a population sample of youth: Retrospective cohort study
    Chaiton, Michael
    Pienkowski, Martha
    Musani, Iman
    Bondy, Susan J.
    Cohen, Joanna E.
    Dubray, Jolene
    Eissenberg, Thomas
    Kaufman, Pamela
    Stanbrook, Matthew
    Schwartz, Robert
    [J]. TOBACCO INDUCED DISEASES, 2023, 21
  • [10] Associations Between E-cigarettes and Subsequent Cocaine Use in Adolescence: An Analysis of the UK Millennium Cohort Study
    Silva, Constanza P.
    Maggs, Jennifer L.
    Kelly, Brian C.
    Vuolo, Mike
    Staff, Jeremy
    [J]. NICOTINE & TOBACCO RESEARCH, 2023, 25 (03) : 514 - 523