A Comparative Study of Symptoms, Social Support, and Quality of Life at Different Survival Stages of Lung Cancer Patients

Purpose: This study aimed to compare symptoms, social support, and quality of life across different stages of survival in patients with lung cancer.Methods: The study included 145 participants: 49 in the acute survival phase (less than 2 years), 50 in the extended survival phase (2~5 years), and 46 in the lasting survival phase (> 5 years). A structured questionnaire was utilized to assess symptoms, social support, and quality of life. Analysis of covariance was used to control for demographic and disease-related variables.Results: Quality of life was significantly higher in the lasting survival stage (F=5.05, <i>p</i>=.008). The severity of symptoms was highest in the acute survival stage, followed by the extended survival stage, and lowest in the lasting survival stage (F=15.79, <i>p</i><.001). Symptom interference with life was greater in the extended survival stage than in the lasting survival stage (F=11.11, <i>p</i><.001). Social support was the lowest in the extended survival stage (F=10.03, <i>p</i><.001). Notably, the extended survival stage had the highest scores for symptoms affecting daily activities, relationships, walking, and work (<i>p</i><.001).Conclusion: This study highlights the differences in symptoms, social support, and quality of life in patients with lung cancer across their survival stages. Tailored interventions are essential for each survival stage to improve the quality of life, with emotional and social support being critical in the extended survival phase, whereas symptom management is key in the acute phase.

Authors

Publication Details

Journal
Journal of Korean Academy of Fundamentals of Nursing
Published
2025-02-28
DOI
https://doi.org/10.7739/jkafn.2025.32.1.128
Primary Topic
Health and Wellbeing Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparative Study of Symptoms, Social Support, and Quality of Life at Different Survival Stages of Lung Cancer Patients

Young Suk Kim, Jin Seok Heo
Journal of Korean Academy of Fundamentals of Nursing
Health and Wellbeing Research
article

A Comparative Study of Symptoms, Social Support, and Quality of Life at Different Survival Stages of Lung Cancer Patients

Young Suk Kim, Jin Seok Heo
article en

Abstract

Purpose: This study aimed to compare symptoms, social support, and quality of life across different stages of survival in patients with lung cancer.Methods: The study included 145 participants: 49 in the acute survival phase (less than 2 years), 50 in the extended survival phase (2~5 years), and 46 in the lasting survival phase (> 5 years). A structured questionnaire was utilized to assess symptoms, social support, and quality of life. Analysis of covariance was used to control for demographic and disease-related variables.Results: Quality of life was significantly higher in the lasting survival stage (F=5.05, <i>p</i>=.008). The severity of symptoms was highest in the acute survival stage, followed by the extended survival stage, and lowest in the lasting survival stage (F=15.79, <i>p</i><.001). Symptom interference with life was greater in the extended survival stage than in the lasting survival stage (F=11.11, <i>p</i><.001). Social support was the lowest in the extended survival stage (F=10.03, <i>p</i><.001). Notably, the extended survival stage had the highest scores for symptoms affecting daily activities, relationships, walking, and work (<i>p</i><.001).Conclusion: This study highlights the differences in symptoms, social support, and quality of life in patients with lung cancer across their survival stages. Tailored interventions are essential for each survival stage to improve the quality of life, with emotional and social support being critical in the extended survival phase, whereas symptom management is key in the acute phase.

Journal of Korean Academy of Fundamentals of NursingVol. 32(1)
Openalex Percentile: Top 93%
Health and Wellbeing Research
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.