TY - JOUR
T1 - Exploring the interconnectedness between health-related quality of life factors among long-term adolescent and young adult cancer survivors (AYAs)
T2 - a network analysis
AU - Bootsma, Tom I
AU - van de Wal, Deborah
AU - Vlooswijk, Carla
AU - Roos, Daniëlle C
AU - Drabbe, Cas
AU - Tissier, Renaud
AU - Bijlsma, Rhodé M
AU - Kaal, Suzanne E J
AU - Kerst, Jan Martijn
AU - Tromp, Jacqueline M
AU - Bos, Monique E M M
AU - van der Hulle, Tom
AU - Lalisang, Roy I
AU - Nuver, Janine
AU - Kouwenhoven, Mathilde C M
AU - van der Graaf, Winette T A
AU - Janssen, Silvie H M
AU - Husson, Olga
N1 - Funding Information: The authors wish to thank all the patients for their participation in the study and the registration team of the Netherlands Comprehensive Cancer Organisation (IKNL) for the collection of data for the Netherlands Cancer Registry. Funding Information: This study was funded by a VIDI grant (VIDI198.007) and an investment grant (#480-08-009) from the Netherlands Organization for Scientific Research. This research was also supported by an institutional grant of the Dutch Cancer Society and of the Dutch Ministry of Health, Welfare and Sport. Publisher Copyright: © 2024, The Author(s).
PY - 2024/2/1
Y1 - 2024/2/1
N2 - PURPOSE: Adolescent and young adult cancer survivors (AYAs) are at increased risk of long-term and late effects, and experience unmet needs, impacting their health-related quality of life (HRQoL). In order to provide and optimize supportive care and targeted interventions for this unique population, it is important to study HRQoL factors' interconnectedness on a population level. Therefore, this network analysis was performed with the aim to explore the interconnectedness between HRQoL factors, in the analysis described as nodes, among long-term AYAs.METHODS: This population-based cohort study used cross-sectional survey data of long-term AYAs, who were identified by the Netherlands Cancer Registry (NCR). Participants completed a one-time survey (SURVAYA study), including the EORTC survivorship questionnaire (QLQ-SURV111) to assess their long-term HRQoL outcomes and sociodemographic characteristics. The NCR provided the clinical data. Descriptive statistics and a network analysis, including network clustering, were performed.RESULTS: In total, 3596 AYAs (on average 12.4 years post diagnosis) were included in our network analysis. The network was proven stable and reliable and, in total, four clusters were identified, including a worriment, daily functioning, psychological, and sexual cluster. Negative health outlook, part of the worriment cluster, was the node with the highest strength and its partial correlation with health distress was significantly different from all other partial correlations.CONCLUSION: This study shows the results of a stable and reliable network analysis based on HRQoL data of long-term AYAs, and identified nodes, correlations, and clusters that could be intervened on to improve the HRQoL outcomes of AYAs.
AB - PURPOSE: Adolescent and young adult cancer survivors (AYAs) are at increased risk of long-term and late effects, and experience unmet needs, impacting their health-related quality of life (HRQoL). In order to provide and optimize supportive care and targeted interventions for this unique population, it is important to study HRQoL factors' interconnectedness on a population level. Therefore, this network analysis was performed with the aim to explore the interconnectedness between HRQoL factors, in the analysis described as nodes, among long-term AYAs.METHODS: This population-based cohort study used cross-sectional survey data of long-term AYAs, who were identified by the Netherlands Cancer Registry (NCR). Participants completed a one-time survey (SURVAYA study), including the EORTC survivorship questionnaire (QLQ-SURV111) to assess their long-term HRQoL outcomes and sociodemographic characteristics. The NCR provided the clinical data. Descriptive statistics and a network analysis, including network clustering, were performed.RESULTS: In total, 3596 AYAs (on average 12.4 years post diagnosis) were included in our network analysis. The network was proven stable and reliable and, in total, four clusters were identified, including a worriment, daily functioning, psychological, and sexual cluster. Negative health outlook, part of the worriment cluster, was the node with the highest strength and its partial correlation with health distress was significantly different from all other partial correlations.CONCLUSION: This study shows the results of a stable and reliable network analysis based on HRQoL data of long-term AYAs, and identified nodes, correlations, and clusters that could be intervened on to improve the HRQoL outcomes of AYAs.
KW - Adolescents and young adults
KW - Cancer
KW - HRQoL
KW - Network analysis
KW - Questionnaire study
KW - Survivorship
UR - http://www.scopus.com/inward/record.url?scp=85182185447&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/s00520-023-08295-0
DO - https://doi.org/10.1007/s00520-023-08295-0
M3 - Article
C2 - 38217712
SN - 0941-4355
VL - 32
SP - 104
JO - Supportive Care in Cancer
JF - Supportive Care in Cancer
IS - 2
M1 - 104
ER -