Table 4.
Differences in daily smoking, recent quit attempts, and cigarettes per day (CPD) during the COVID-19 pandemic among Mexican daily and non-daily smokers, March 2020 and July 2020 (Sample A, 2020).
|
CPD 1
(n = 2753) |
|||
| Wave | Mean (SD) | IRR (unadjusted) | IRR (adjusted) b |
| March 2020 (n = 1395) | 4.34 (5.40) | Reference | Reference |
| July 2020 (n = 1358) | 4.41 (5.42) | 1.01 (0.95, 1.08) | 1.01 (0.95, 1.08) |
|
Daily smokers 2
(n = 1282) |
|||
| % | OR (95% C.I.) | AOR a (95% C.I.) | |
| March 2020 (n = 1395) | 47.7 | Reference | Reference |
| July 2020 (n = 1358) | 47.8 | 1.08 (0.98, 1.20) | 0.99 (0.88, 1.11) |
|
Recent quit attempt 3
(n = 1110) |
|||
| % | OR (95% C.I.) | AOR a (95% C.I.) | |
| March 2020 (n = 1395) | 43.1 | Reference | Reference |
| July 2020 (n = 1358) | 39.6 | 0.83 (0.73, 0.94) * | 0.85 (0.75, 0.98) * |
1 CPD is the average number of CPD among all respondents (daily and non-daily smokers). Generalized estimating equations (GEE) with Poisson distribution and log link function (IRR) were used to adjust for within-individual correlations in study variables for participants with repeated assessments. Adjusted IRR, by age, sex, educational attainment, family income and wave. * p-value < 0.05, ** p-value < 0.001; Dependent variables: 2 smoking frequency (daily vs. non-daily n = 1401 [reference]), 3 recent quit attempt vs. no recent quit attempt (n = 1573 [reference]). Logistic regression models using a generalized estimating equation (GEE) approach to consider repeated measures, models adjusted for by sex, age, educational attainment, family income and wave. a Logistic regression models using a generalized estimating equation (GEE) approach to consider repeated measures, b Linear regression models using a generalized estimating equation (GEE) approach to consider repeated measures.