Aim 1: To determine the effects of adverse childhood experiences (ACEs) on health related quality of life (HRQoL) in adolescents with and without chronic illnesses.
Hypothesis: We hypothesize that ACEs, as a precipitating factor, will decrease the quality of life in adolescents regardless of having a chronic illness or not. However, we suspect that there will be a differential effect between the two groups as we expect the presence of ACEs will exacerbate the effects of having a chronic condition, a predisposing factor, on quality of life. Thus, we expect that the negative impact of ACEs will be stronger among youth with chronic conditions.
Aim 2: To determine the relationship between resiliency and …show more content…
We also expect that the negative impact ACEs will be weaker among those with higher resiliency and a stronger impact on those with lower resiliency. Among the group of youth with chronic illnesses, we expect that the negative impact of chronic illnesses will be weaker among those with higher resiliency and stronger among those with lower resiliency. Aim 3: To examine the relationships between markers of Positive Youth Development (PYD) with quality of life in adolescents with and without chronic illnesses.
Hypothesis: We hypothesize that development of markers of PYD improves quality of life in both groups of adolescents. We also expect that the negative impact of ACEs will be weaker among those with more developed PYD assets and a stronger among those with less developed PYD assets. Among the group of youth with chronic illnesses, we expect that the negative impact of chronic illnesses will be weaker among those with more developed PYD assets and stronger among those with less developed PYD assets
Patients and …show more content…
After consent was obtained, each adolescent completed a self-administered online survey. Subjects compensated with $25 for their participation. A total of 465 subjects were initially enrolled in the study. Of the 465 subjects, 348 initiated surveys. Subjects who were misclassified as healthy, but had a chronic condition with the exception of asthma or obesity noted in their electronic medical record (n=4) or completed the parent survey instead of adolescent survey (n=3) were dropped. Of those remaining, 325 (95%) had complete data to be included in the final analytical set for analysis (table