Gender disparities in the mediating role of symptom knowledge level in reducing acute coronary syndrome (ACS) decision delay: Findings from a community-based study in China

Table 2 The mediating effect of symptom knowledge that link prior exposure to ACS to decision delay

Exposure	Model 1^a	Model 2^b	Model 3^c
Exposure	Total effect (OR,95%CI, P)	Assoc. Mediator (β,95%CI, P)	Mediation effect (%, P)	Direct effect (OR,95%CI, P)
Past ACS exposure	0.62 (0.44–0.88, P < 0.001)	0.49 (0.21–0.76, P < 0.001)	23.74 P < 0.0001	0.50 (0.43–0.85, P = 0.004)
(1) Prior exposure to training programs	0.65 (0.43–0.98, P = 0.041)	0.61 (0.23–0.98, P = 0.002)	36.59 P < 0.0001	0.40 (0.26–1.09, P = 0.110)
(2) Ever witness ACS in families	0.55 (0.38–0.79, P = 0.001)	0.50 (0.19–0.81, P = 0.001)	20.74 P < 0.0001	0.41 (0.20–0.81, P = 0.002)
(3) Ever personally experienced ACS	0.71 (0.49–1.00, P = 0.05)	0.31 (0.11–0.72, P = 0.001)	12.08 P = 0.72	0.58 (0.37–1.58, P = 0.621)

^a Model 1 assessed the total effect of past ACS exposure (as a whole) and its three elements on decision delay, with adjustments for gender, age, education, job category, and monthly income
^b Model 2 assessed the association between past ACS exposure (as a whole), its three elements and ACS symptom knowledge, with adjustments for gender, age, education, job category, and monthly income
^c Model 3 assessed the mediation via knowledge from past ACS exposure (as a whole), its three elements to decision delay, with adjustments for gender, age, education, job category, and monthly income. The estimate of mediation effect and its statistical significance was based on 1000 times of bootstrapping

ISSN: 1471-227X