Latent Profile Analysis of the Uncertainty Experienced among Parents of Children with Central Nervous System Tumors: A Cross-Sectional Study

Objective: The study aims to identify and characterize the latent categories of illness uncertainty among parents of children diagnosed with central nervous system tumors, examine the influencing factors, and propose targeted nursing strategies. Methods: Conducted as a cross-sectional study, this research utilized convenience sampling to recruit parents of children undergoing treatment for central nervous system tumors at a tertiary hospital in Guangzhou between October 2023 and July 2024. Data collection involved a general information questionnaire, the Illness Uncertainty Scale, the Self-Rating Anxiety Scale, and the Self-Rating Depression Scale. Latent profile analysis was employed to determine the potential categories of illness uncertainty, while binary logistic regression analysis was used to assess the influencing factors. Results: The study included 108 parents, whose illness uncertainty was categorized into two distinct groups: “Information Acceptance Group” (n = 66, 61.1%) and “Cognitive Deficiency Group” (n = 42, 38.9%). The binary logistic regression analysis identified the gender and anxiety level of the parents as significant influencing factors in the categorization of illness uncertainty. Conclusion: The study reveals distinct categorical characteristics of illness uncertainty among parents of children with central nervous system tumors. It is recommended that nursing professionals implement gender-specific psychological interventions, provide informational support, and employ positive reinforcement strategies to mitigate parental anxiety, reduce illness uncertainty, and enhance the overall quality of pediatric care.

Authors

Publication Details

Journal
Journal of Cancer Therapy
Published
2025-01-01
DOI
https://doi.org/10.4236/jct.2025.166016
Primary Topic
Advanced Statistical Modeling Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Latent Profile Analysis of the Uncertainty Experienced among Parents of Children with Central Nervous System Tumors: A Cross-Sectional Study

Chunju Xiao, Dechun Zou, Hengxue Wang, Dan Zhang et al.
Journal of Cancer Therapy
Advanced Statistical Modeling Techniques
article

Latent Profile Analysis of the Uncertainty Experienced among Parents of Children with Central Nervous System Tumors: A Cross-Sectional Study

Chunju Xiao, Dechun Zou, Hengxue Wang, Dan Zhang, Lan Bai
article en

Abstract

Objective: The study aims to identify and characterize the latent categories of illness uncertainty among parents of children diagnosed with central nervous system tumors, examine the influencing factors, and propose targeted nursing strategies. Methods: Conducted as a cross-sectional study, this research utilized convenience sampling to recruit parents of children undergoing treatment for central nervous system tumors at a tertiary hospital in Guangzhou between October 2023 and July 2024. Data collection involved a general information questionnaire, the Illness Uncertainty Scale, the Self-Rating Anxiety Scale, and the Self-Rating Depression Scale. Latent profile analysis was employed to determine the potential categories of illness uncertainty, while binary logistic regression analysis was used to assess the influencing factors. Results: The study included 108 parents, whose illness uncertainty was categorized into two distinct groups: “Information Acceptance Group” (n = 66, 61.1%) and “Cognitive Deficiency Group” (n = 42, 38.9%). The binary logistic regression analysis identified the gender and anxiety level of the parents as significant influencing factors in the categorization of illness uncertainty. Conclusion: The study reveals distinct categorical characteristics of illness uncertainty among parents of children with central nervous system tumors. It is recommended that nursing professionals implement gender-specific psychological interventions, provide informational support, and employ positive reinforcement strategies to mitigate parental anxiety, reduce illness uncertainty, and enhance the overall quality of pediatric care.

Journal of Cancer TherapyVol. 16(06)
Openalex Percentile: Top 85%
Advanced Statistical Modeling Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Latent Profile Analysis of the Uncertainty Experienced among Parents of Children with Central Nervous System Tumors: A Cross-Sectional Study — Chunju Xiao, Dechun Zou, et al. · Journal of Cancer Therapy (2025) | TGRS Research Map | TGRS