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. Author manuscript; available in PMC: 2016 Jul 6.
Published in final edited form as: J Health Commun. 2015 Jul 6;20(10):1196–1205. doi: 10.1080/10810730.2015.1018620

Table 3.

Indirect Effects for Cross-sectional Mediation Analyses

Indirect Effect Total Effect

(T1) (T1) (T1) Effect
Size
BC
Bootstrap
CI
Effect
Size
H1a Exposure → Talk about ads → Sought help .033 .016 – .051 .064
H1b Exposure → Talk about ads → Tried to quit .022 .005 – .040 .052
H2a Exposure → Talk about quitting → Sought help .024 .012 – .037 .057
H2b Exposure → Talk about quitting → Tried to quit .027 .012 – .042 .004
H3a Talk about ads → Talk about quitting → Sought help .050 .034 – .068 .144
H3b Talk about ads → Talk about quitting → Tried to quit .061 .044 – .078 .096

Note. N = 2010–3007 (varies across analyses due to missing data on confounders and talk about ads variable). T1 = variable measured at first interview; BC Bootstrap CI = bias-corrected bootstrap confidence intervals. Indirect and total effect sizes are standardized. Non-zero indirect effects are bolded. These analyses report the effects of the compound path from the first named variable to the last named variable through the mediator, adjusting for confounders. Behavioral outcomes occurred within the past month.