Literature DB >> 35678625

Peer Crowd Identification of Young and Early Middle Adulthood Customers at Vape Shops.

Steve Sussman1,2,3, Artur Galimov1, Leah Meza1, Jimi Huh1, Lourdes Baezconde-Garbanati1, Pallav Pokhrel4.   

Abstract

Vape shops specialize in the sales of e-cigarettes and other vaping products. In recent studies, young adults who use e-cigarettes have tended to identify with at-risk peer crowds. This is the first study to examine vape shop customers' clientele. Composed primarily of young adults and persons in early middle adulthood, we speculated that a relatively high prevalence of those who appeared to bystanders as radical/extreme (at-risk) customers would be identified as such at these shops. We recruited vape shops throughout Southern California (N = 44 shops), and trained teams of data collectors visited each of the consented vape shops, making note of 451 customers' appearance, including features such as manner of dress, presence of tattoos, and hairstyles. Customers were then coded as either belonging to a conventional, progressive, or radical/extreme crowd based on outward appearance. Of the customers observed, 223 (49%) were rated as appearing to be in the conventional crowd; 169 (38%) were rated as appearing to be in the progressive crowd, and only 59 (13%) were rated as appearing to be in the radical/extreme crowd. The conventional crowd tended to appear older. Clientele may reflect that more conventional young and early middle age adults are tempted to visit vape shops due to perceptions of greater acceptability or safety of e-cigarettes. E-cigarette mass media campaigns aimed at protecting potential vape shop customers from harm may need to depict more conservative-looking characters.

Entities:  

Keywords:  e-cigarettes; peer crowds; vape shops

Mesh:

Substances:

Year:  2022        PMID: 35678625      PMCID: PMC9359667          DOI: 10.1177/00472379221106365

Source DB:  PubMed          Journal:  J Drug Educ        ISSN: 0047-2379


  15 in total

1.  Development of adolescents' peer crowd identification in relation to changes in problem behaviors.

Authors:  Suzan M Doornwaard; Susan Branje; Wim H J Meeus; Tom F M ter Bogt
Journal:  Dev Psychol       Date:  2012-01-23

Review 2.  Adolescent peer group identification and characteristics: a review of the literature.

Authors:  Steve Sussman; Pallav Pokhrel; Richard D Ashmore; B Bradford Brown
Journal:  Addict Behav       Date:  2006-12-26       Impact factor: 3.913

3.  Why Peer Crowds Matter: Incorporating Youth Subcultures and Values in Health Education Campaigns.

Authors:  Meghan B Moran; Matthew W Walker; Tesfa N Alexander; Jeffrey W Jordan; Dana E Wagner
Journal:  Am J Public Health       Date:  2017-01-19       Impact factor: 9.308

4.  E-Cigarettes and Adolescents' Risk Status.

Authors:  Thomas A Wills
Journal:  Pediatrics       Date:  2017-02       Impact factor: 7.124

5.  Prevalence of e-Cigarette Use Among Adults in the United States, 2014-2018.

Authors:  Hongying Dai; Adam M Leventhal
Journal:  JAMA       Date:  2019-11-12       Impact factor: 56.272

6.  Parenting practices and peer group affiliation in adolescence.

Authors:  B B Brown; N Mounts; S D Lamborn; L Steinberg
Journal:  Child Dev       Date:  1993-04

7.  Differential Associations Between Anti-Tobacco Industry Attitudes and Intention to Quit Smoking Across Young Adult Peer Crowds.

Authors:  Nhung Nguyen; Nadra E Lisha; Torsten B Neilands; Jeffrey W Jordan; Pamela M Ling
Journal:  Am J Health Promot       Date:  2019-02-12

8.  Interrater reliability: the kappa statistic.

Authors:  Mary L McHugh
Journal:  Biochem Med (Zagreb)       Date:  2012       Impact factor: 2.313

9.  Peer crowd affiliation as a segmentation tool for young adult tobacco use.

Authors:  Nadra E Lisha; Jeffrey W Jordan; Pamela M Ling
Journal:  Tob Control       Date:  2016-10       Impact factor: 7.552

10.  Peer crowd-based targeting in E-cigarette advertisements: a qualitative study to inform counter-marketing.

Authors:  Minji Kim; Sarah Olson; Jeffrey W Jordan; Pamela M Ling
Journal:  BMC Public Health       Date:  2020-01-23       Impact factor: 3.295

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