Table 4.
Estimated effects of LIFE4YOUth intervention on secondary outcomes.
| Secondary outcomes | Complete case analysisa | Imputed analysisa | ||||||||||||
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Estimateb (95% CI) | Probability of effect | P valuec | Estimateb (95% CI) | Probability of effect | P valuec | ||||||||
| 2-month follow-up | ||||||||||||||
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Smoke amountd | 0.69 (0.37 to 1.3) | 87.8 | .19 | 0.76 (0.38 to 1.52) | 78.4 | .42 | |||||||
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Candy and snacksd | 0.85 (0.71 to 1.03) | 95.3 | .10 | 0.87 (0.71 to 1.05) | 92.2 | .16 | |||||||
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BMId | –0.2 (–0.71 to 0.31) | 77.6 | .45 | –0.41 (–1.01 to 0.19) | 90.8 | .18 | |||||||
| 4-month follow-up | ||||||||||||||
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Smoke amountd | 0.55 (0.27 to 1.13) | 94.9 | .07 | 0.79 (0.36 to 1.74) | 71.8 | .56 | |||||||
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Candy and snacksd | 0.94 (0.77 to 1.15) | 71.9 | .57 | 0.96 (0.78 to 1.18) | 72.6 | .68 | |||||||
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BMId | –0.23 (–0.78 to 0.34) | 78.9 | .43 | –0.46 (–1.11 to 0.17) | 92.3 | .15 | |||||||
aNegative binomial regression for smoke amount and consumption of candy and snacks; linear regression for body mass index. Regression models adjusted for baseline values of age, sex, household economy (“Not so good” and “Not good at all” pooled), and psychosocial variables (ie, self-perceived importance, confidence, and know-how to change behaviors).
bIncidence rate ratios smoke amount and consumption of candy and snacks; mean values for BMI. CI: compatibility intervals, defined by the 2.5 and 97.5 percentiles of the posterior distribution.
cConfidence intervals for null-hypothesis testing are shown in Table S2 in Multimedia Appendix 6.
dNumber of cigarettes smoked weekly among smokers, number of weekly portions of candy and snacks, and BMI (kg/m2).