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. 2022 Jun 20;9:1099. Originally published 2020 Sep 7. [Version 3] doi: 10.12688/f1000research.26167.3

Table 6. Effect of adjustment on the OR (95% CI) for the relationship of ever regular e-cigarette use a to quitting.

Type of
quitting
Statistic Wave 1 to 2/3
quitting
Wave 2 to 3/4
quitting
Wave 1 to
2/3/4 quitting
Delayed Number in baseline in final regression 5,660 5,346 4,956
Number quitting 448 392 606
Unadjusted 1.50 (1.13-1.97) 1.28 (1.00-1.64) 1.52 (1.19-1.94)
Adjusted for four most important
variables
1.36 (1.02-1.82) 1.29 (1.00-1.66) 1.41 (1.10-1.82)
Adjusted for all variables included in
final list
1.38 (1.03-1.85) 1.25 (0.97-1.62) 1.43 (1.10-1.85)
Temporary Number in baseline in final regression 5,413 5,149 4,699
Number quitting 201 195 349
Unadjusted 1.10 (0.71-1.70) 1.68 (1.22-2.32) 1.34 (0.97-1.86)
Adjusted for four most important
variables
0.91 (0.58-1.42) 1.74 (1.25-2.43) 1.20 (0.86-1.69)
Adjusted for all variables included in
final list
0.93 (0.59-1.46) 1.60 (1.14-2.25) 1.26 (0.89-1.77)
Sustained Number in baseline in final regression 5,602 5,298 4,622
Number quitting 380 344 272
Unadjusted 1.48 (1.10-1.99) 1.49 (1.16-1.91) 1.29 (0.89-1.86)
Adjusted for four most important
variables
1.41 (1.03-1.93) 1.59 (1.22-2.06) 1.33 (0.91-1.96)
Adjusted for all variables included in
final list
1.51 (1.09-2.08) 1.48 (1.13-1.94) 1.52 (1.02-2.26)

aWhere the baseline is Wave 1, the predictor is ever regular e-cigarette use, where the baseline is Wave 2, the predictor is ever regular e-product use