Study Design
This was a cross-sectional, descriptive, correlational study of AYAs with childhood cancer to examine the correlations between resilience and family-related variables (family strengths, communication with parents, and family support) and identify family-related resilience predictors.
Setting & Participants
The participants in this study included all Korean AYAs with childhood cancer aged 11–26 years who were receiving or had not received treatment. The recruitment of AYAs and data collection were conducted online and offline between June 2019 and January 2021. Offline (in-person) recruitment was used for AYAs who visited the outpatient clinic of department of pediatric hematology and oncology, cancer center in Y University, Seoul, which is one of the largest pediatric cancer centers in South Korea. Online recruitment was performed through the Korea Childhood Leukemia Foundation website, which have managed AYA with childhood cancer during acute phase as well as chronic. The inclusion criteria were as follows: (1) 11–26 years of age, (b) diagnosed with childhood cancer at any stage but not in a hospice, (c) fully informed about their diagnosis, and (d) able to communicate in Korean to complete the required questionnaires. The required sample size for this study was estimated using G*Power 3.1.9. The required number of participants for the regression analysis was 118, with 10 predictors, an effect size of .15, a power of .80, and a significance level of .05. Considering the dropout rate, 156 people were asked to complete the questionnaire, and data from 141 people were used for the final analysis; 15 questionnaires with insufficient responses were excluded. The questionnaire was answered by 141 participants with no withdrawals.
Measurements
The questionnaire was based on Haase’s RIM study and was the same tool as the family-related variable-specific tool used in Haase’s study [11]. If there was a Korean version whose reliability and validity were verified, the existing tool was used with the original author’s permission.
Demographic and Disease-related Characteristics
The questionnaire used to identify the participants’ general and disease-related characteristics included questions about their age, sex, education status, diagnosis, period after diagnosis, current treatment status (on or off treatment), and recurrence (yes/no).
Resilience
Resilience was measured using Haase’s resilience measurement tool [11, 29] after translating it into Korean [12]. This tool was developed to measure the resilience of adolescents with childhood cancer by assessing elements of superiority, competence, achievement, and growth. This measurement consists of a 15-item 6-point scale, with 1 representing “strongly agree” and 6 representing “strongly agree.” The total score ranges from 15 to 90. A higher score indicates a stronger will to recover. Regarding internal reliability, Cronbach’s α was .87 in the previous study with a pediatric cancer population [10] and .089 in this one.
Parent-Adolescent Communication
The Parent-Adolescent Communication Scale (PACS) measured communication between parents and adolescents and young adults. Barnes and Olson developed this instrument to measure the openness and awareness of problems in parent-adolescent communication from adolescents’ perspectives [30]. The 20-item PACS is rated on a 4-point Likert-type scale, with 1 representing “strongly disagree” and 4 representing “strongly agree.” The total scores range from 20 to 80, with higher scores indicating more open and less problematic communication. There are two sets of norms for adolescents: one for communication with the father and another for communication with the mother. The measure reported excellent reliability, with Cronbach’s alpha ranging from 0.82 to 0.92 in the previous study [31]. In terms of the internal reliability of communication with the father and mother in this study, Cronbach’s α was 0.92 and 0.91, respectively.
Family Strengths
Family strengths were measured using two subclasses of the Family Strength Scale [32]: family pride (seven items) and family strengths (five items). The scale uses a 5-point Likert-type scale, with 1 representing “strongly disagree” and 5 representing “strongly agree.” The total scores range from 12 to 60, with higher scores indicating greater perceived family strengths [33]. The family pride subclass measures loyalty, respect, and trust within the family, while Accord measures a family’s sense of competence. The measure reported excellent reliability, with Cronbach’s alpha ranging from 0.72 to 0.83 in a previous study [34]. In terms of internal reliability, Cronbach’s α for family strength was .86 in this study.
The Perceived Social Support-Family (PSS-Family)
The PSS-Family consists of 20 items that measure the extent to which individuals perceive that their families support them through the necessary information and feedback [35]. Each item was scored on a 5-point Likert-type scale, with 1 representing “totally disagree” and 5 representing “totally agree.” The total scores range from 20 to 100, with higher scores indicating greater levels of perceived social support from family. The measure reported excellent reliability; Cronbach’s alpha was .91 in a previous study [35] and 0.91 in this study.
Data Collection and Ethical Consideration
This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the institutional review boards of Y University and Y Hospital in S city in Korea (2019-0263-003) and participating institution (D university) in United States (Pro00105744). We recruited 141 AYAs with cancer. The survey was administered either online or in person. In the case of offline collection, the researchers explained the study’s purpose and content in a way that was easy for the participants to understand. In the case of online collection, participants who saw the recruitment poster on the Leukemia Foundation’s website and carefully read the study’s purpose and contents could decide whether to join the study. If they agreed to participate, they signed an electronic consent form before they could start the online survey. The researchers followed them up to ensure they met the inclusion criteria and confirmed their voluntary participation. Additionally, the participants were informed that this was an anonymous survey with no possible leakage of personal information or threat to their safety and that participation was voluntary without any negative effects. Participants were also informed that they could withdraw from the study at any time without any disadvantages. We explained that all information would be coded and safely processed only for this study, and those who voluntarily agreed to participate were selected. Approximately 15–20 min were required to complete the questionnaire, and a gift card worth $20 was given after questionnaire completion as a token of gratitude for the respondents’ participation.
Data Analysis
We analyzed the data using SPSS 26.0 for Windows (IBM, Seoul, South Korea), and all p-values were two-sided with significance level set at 5%. The participants’ demographic traits were represented by whole numbers and percentages; demographic details, resilience, communication with father and mother, family strengths, and family support were represented by means and standard deviations. For resilience, communication between father and mother, family strengths, and family support according to demographic details, we performed a t-test, analysis of variance (ANOVA), Scheffe’s test, and the Duncan test as post-hoc tests. For intervariable correlations, we performed Pearson’s correlation analysis and used hierarchical regression analysis to examine the factors that influence the resilience of AYAs with cancer.