Latent profile analysis for assessing symptom clusters in women with breast cancer.

J Cancer Surviv

College of Nursing, Ajou University, 164, World cup-ro, Yeongtong-gu, Suwon, 16499, Republic of Korea.

Published: July 2024

Purpose: To identify symptom clusters among breast cancer survivors and investigate differences in health-related quality of life (HRQoL) and distress based on these discerned symptom clusters using latent profile analysis.

Methods: We enrolled 655 adult breast cancer survivors aged 19 years and older, registered with the Cancer Survivor Integrated Supportive Center from May 2020 to July 2022. The study measured five symptoms-pain, fatigue, insomnia, anxiety, and depression-using a Visual Analogue Scale ranging from 0 to 10 points. Distress was measured using the National Comprehensive Cancer Network Distress Thermometer, with scores ranging from 0 to 10 points. HRQoL was determined using the EuroQol-5 Dimension questionnaire. Data analysis was conducted using the Jamovi and Mplus 8.8 software programs.

Results: The Cluster with Few Symptoms (46.8%) was the most common, whereas the Psychological Cluster with a very high degree of depression and anxiety accounted for 20.0%, and the Moderate symptom cluster with symptoms of 3 or more points accounted for 14.4%. Distress scores were relatively high in the Psychological Cluster and the Pain-Fatigue-Insomnia Cluster, and were lowest in the Cluster with Few Symptoms (F = 103.92, p < 0.001). HRQoL scores were highest in the Cluster with Few Symptoms and lowest in the Pain-Fatigue-Insomnia Cluster (F = 177.62, p < 0.001).

Conclusions: Approximately half of breast cancer survivors who had completed the major treatment experienced persistent high symptoms such as depression and anxiety or pain, fatigue, and insomnia.

Implications For Cancer Survivors: These findings provide foundational data for developing tailored intervention strategies and programs based on symptom experiences.

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Source
http://dx.doi.org/10.1007/s11764-024-01648-6DOI Listing

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