Abstract 2844: A Model of Resilience in Adolescent with Congenital Heart Disease
Objective: This study was performed to identify the variables related to resilience in adolescents with congenital heart disease.
Methods: The subjects were 231 adolescents with congenital heart disease under observation following open-heart surgery in three major cardiac centers in Korea, from December 20, 2004 to February 25, 2005. Adolescents completed questionnaires of twenty. The exogenous variables in this model were individual protective factors, individual risk factors, family protective factors, and social protective factors, while resilience was an endogenous variable. These five theoretical variables were assessed by 20 measurable variables, and 14 paths were established. Structural analysis was performed using AMOS 6.0.
Results: The overall fit indices of the hypothetical model were χ2=25.73(p= .000), GFI= .97, RMR= .03, NFI=.98, RFI=.72, IFI=.98 & PNFI=.85. All 14 paths in the hypothetical model were found to be significant(all p value <0.01). Higher social(λ = 0.46), individual(λ = 0.31), and family protective factors(λ = 0.25) were associated with increased resilience, as was lower individual risk factors(λ = -0.07). Social protective factors had the greatest impact on resilience. Individual protective factors correlated positively with both family (λ = 0.72) and social protective factors(λ = 0.66), while family protective factors correlated positively with social protective factors(λ = 0.78). Individual risk factors correlated negatively with family(λ = -0.53), individual(λ = -0.52) and social protective factors(λ = -0.33). Thus, the higher each of these protective factors, the lower the individual risk factors.
Conclusion: To increase the resilience of adolescents with congenital heart disease, it is important to develop a strategy to increase social protective factors. Furthermore, nursing interventions that will enhance individual, family, and social protective factors must be developed and implemented in order to decrease the negative effects of individual risk factors.