Cargando…
Identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis
BACKGROUND: Previous studies have examined symptom clusters in children with acute leukemia, yet a knowledge gap persists regarding central symptom clusters and their influencing factors. By identifying these central clusters and associated factors, healthcare providers can enhance their understandi...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475730/ https://www.ncbi.nlm.nih.gov/pubmed/37671049 http://dx.doi.org/10.3389/fonc.2023.1236129 |
_version_ | 1785100778088693760 |
---|---|
author | Fang, Jia Wong, Cho-Lee Liu, Chun-Qin Huang, Hai-Ying Qi, Yi-Shu Xu, Li-Ling Wang, Mei-Xiang Lin, Yan |
author_facet | Fang, Jia Wong, Cho-Lee Liu, Chun-Qin Huang, Hai-Ying Qi, Yi-Shu Xu, Li-Ling Wang, Mei-Xiang Lin, Yan |
author_sort | Fang, Jia |
collection | PubMed |
description | BACKGROUND: Previous studies have examined symptom clusters in children with acute leukemia, yet a knowledge gap persists regarding central symptom clusters and their influencing factors. By identifying these central clusters and associated factors, healthcare providers can enhance their understanding and effective management of symptoms. Our study seeks to address this gap by identifying symptom clusters, exploring central clusters, and investigating the demographic and health-related factors associated with these clusters in children with acute leukemia undergoing chemotherapy. METHODS: A total of 586 children with acute leukemia from January 2021 to April 2023 were recruited from China. They were investigated using Memorial Symptom Assessment Scale 10-18 during chemotherapy. The principal component analysis was used to identify the symptom clusters. An association network was conducted to describe the relationships among symptoms and clusters. A multiple linear model was used to investigate the associated factors for the severity of overall symptoms and each symptom cluster. RESULTS: Five clusters were identified, including oral and skin cluster, somatic cluster, self-image disorder cluster, gastrointestinal cluster and psychological cluster. Gastrointestinal cluster was the most central symptom cluster. Age, sex, clinical classification, number of having chemotherapy and education degree and marital status of the primary caregiver are associated with the severity of these five symptom clusters. CONCLUSION: Our study highlights the importance of evaluating symptom clusters in children with acute leukemia during chemotherapy. Specifically, addressing gastrointestinal symptoms is crucial for effective symptom management and overall care. |
format | Online Article Text |
id | pubmed-10475730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104757302023-09-05 Identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis Fang, Jia Wong, Cho-Lee Liu, Chun-Qin Huang, Hai-Ying Qi, Yi-Shu Xu, Li-Ling Wang, Mei-Xiang Lin, Yan Front Oncol Oncology BACKGROUND: Previous studies have examined symptom clusters in children with acute leukemia, yet a knowledge gap persists regarding central symptom clusters and their influencing factors. By identifying these central clusters and associated factors, healthcare providers can enhance their understanding and effective management of symptoms. Our study seeks to address this gap by identifying symptom clusters, exploring central clusters, and investigating the demographic and health-related factors associated with these clusters in children with acute leukemia undergoing chemotherapy. METHODS: A total of 586 children with acute leukemia from January 2021 to April 2023 were recruited from China. They were investigated using Memorial Symptom Assessment Scale 10-18 during chemotherapy. The principal component analysis was used to identify the symptom clusters. An association network was conducted to describe the relationships among symptoms and clusters. A multiple linear model was used to investigate the associated factors for the severity of overall symptoms and each symptom cluster. RESULTS: Five clusters were identified, including oral and skin cluster, somatic cluster, self-image disorder cluster, gastrointestinal cluster and psychological cluster. Gastrointestinal cluster was the most central symptom cluster. Age, sex, clinical classification, number of having chemotherapy and education degree and marital status of the primary caregiver are associated with the severity of these five symptom clusters. CONCLUSION: Our study highlights the importance of evaluating symptom clusters in children with acute leukemia during chemotherapy. Specifically, addressing gastrointestinal symptoms is crucial for effective symptom management and overall care. Frontiers Media S.A. 2023-08-21 /pmc/articles/PMC10475730/ /pubmed/37671049 http://dx.doi.org/10.3389/fonc.2023.1236129 Text en Copyright © 2023 Fang, Wong, Liu, Huang, Qi, Xu, Wang and Lin https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Fang, Jia Wong, Cho-Lee Liu, Chun-Qin Huang, Hai-Ying Qi, Yi-Shu Xu, Li-Ling Wang, Mei-Xiang Lin, Yan Identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis |
title | Identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis |
title_full | Identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis |
title_fullStr | Identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis |
title_full_unstemmed | Identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis |
title_short | Identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis |
title_sort | identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475730/ https://www.ncbi.nlm.nih.gov/pubmed/37671049 http://dx.doi.org/10.3389/fonc.2023.1236129 |
work_keys_str_mv | AT fangjia identifyingcentralsymptomclustersandcorrelatesinchildrenwithacuteleukemiaundergoingchemotherapyanetworkanalysis AT wongcholee identifyingcentralsymptomclustersandcorrelatesinchildrenwithacuteleukemiaundergoingchemotherapyanetworkanalysis AT liuchunqin identifyingcentralsymptomclustersandcorrelatesinchildrenwithacuteleukemiaundergoingchemotherapyanetworkanalysis AT huanghaiying identifyingcentralsymptomclustersandcorrelatesinchildrenwithacuteleukemiaundergoingchemotherapyanetworkanalysis AT qiyishu identifyingcentralsymptomclustersandcorrelatesinchildrenwithacuteleukemiaundergoingchemotherapyanetworkanalysis AT xuliling identifyingcentralsymptomclustersandcorrelatesinchildrenwithacuteleukemiaundergoingchemotherapyanetworkanalysis AT wangmeixiang identifyingcentralsymptomclustersandcorrelatesinchildrenwithacuteleukemiaundergoingchemotherapyanetworkanalysis AT linyan identifyingcentralsymptomclustersandcorrelatesinchildrenwithacuteleukemiaundergoingchemotherapyanetworkanalysis |