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. 2018 Feb 11;15(2):313. doi: 10.3390/ijerph15020313

Table 3.

Informational sources and deciding factors influencing marketed vape shop items (n = 61) using simple logistic regression.

Variable Subvariable Year 1 (n = 61)
Frequency (%)
Year 2 (n = 61)
Frequency (%)
p-Value
Info sources about new e-cigarette products Internet 51 (84) 57 (93) 0.099
Social media 50 (82) 59 (97) 0.018 *
Personal contacts 48 (79) 53 (87) 0.234
Sales reps 42 (69) 52 (85) 0.035 *
Warehouses 28 (46) 41 (67) 0.019 *
Other a 7 (11) 8 (13) 0.783
Deciding factors on which products to keep in shop Internet 26 (43) 20 (33) 0.263
Social media 32 (52) 33 (54) 0.856
Personal contacts 27 (44) 19 (31) 0.137
Sales reps 18 (30) 15 (25) 0.541
Warehouses 11 (18) 13 (21) 0.649
Other b 14 (23) 21 (34) 0.163
Based on sales 49 (80) 56 (92) 0.075
Tobacco company representative c Yes 26 (43) 14 (23) 0.022 *

a Other: Magazines, personal preference, trade shops, corporate relationships with manufacturers, wholesalers, customers, distributors, e-juice companies, YouTube, expos and conventions, events, travelling to countries offering new products. b Other: Device/juice safety, inventory, monthly shop meetings, self-testing, customer feedback, owner preference, trial and error, distributors, ease of device use, based on demographics, word of mouth, conventions, trusted companies. c Have you had any contact with tobacco industry agents, such as distributors of cigarette and/or e-cigarette products? * Significant p-value. Note: There were no p-values remaining significant after a conservative Bonferroni correction for multiple tests (0.008 for info sources; 0.007 for deciding factors; N/A for tobacco company representative).