Exploring The Quality Of Life Phenomenon Among Patients With Long Covid Syndrome

Background: Long COVID Syndrome (LCS) refers to persistence of symptoms beyond acute phase of COVID-19 infection. These prolonged symptoms may affect various aspects of health, particularly survivors' quality of life. However, research on this issue in rural settings remains limited. Objective: Study aimed to determine the relationship between the symptoms of Long COVID Syndrome and the quality of life of COVID-19 survivors in Ledug Village. Methods: Study used a quantitative study with a cross-sectional design involving 50 participants who were selected using total sampling. Data were collected using the symptom checklist for long COVID-19 based on the World Health Organization (WHO) and the WHOQOL-BREF questionnaire. Data analysis was performed using Spearman's rank correlation test. Results: The most respondents (48%) reported only one persistent symptom, mainly fatigue. Fatigue was often accompanied by shortness of breath and chest pain. Conclusion: Overall, QoL was rated good across psychological, social, and environmental domains. No significant correlation was found between the number of symptoms and overall QoL. However, a weak but significant association existed with physical health (p=0.009, r=0.36). The number of Long COVID symptoms is significantly associated with lower physical quality of life among survivors. Future efforts should focus on community-based rehabilitation programs to improve survivors' well-being.

Authors

Institutions

Publication Details

Journal
NurseLine Journal
Published
2025-05-29
DOI
https://doi.org/10.19184/nlj.v10i1.53694
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring The Quality Of Life Phenomenon Among Patients With Long Covid Syndrome

Eva Rahayu, Ridlwan Kamaluddin
NurseLine Journal
Long-Term Effects of COVID-19
article

Exploring The Quality Of Life Phenomenon Among Patients With Long Covid Syndrome

Eva Rahayu, Ridlwan Kamaluddin
article en

Abstract

Background: Long COVID Syndrome (LCS) refers to persistence of symptoms beyond acute phase of COVID-19 infection. These prolonged symptoms may affect various aspects of health, particularly survivors' quality of life. However, research on this issue in rural settings remains limited. Objective: Study aimed to determine the relationship between the symptoms of Long COVID Syndrome and the quality of life of COVID-19 survivors in Ledug Village. Methods: Study used a quantitative study with a cross-sectional design involving 50 participants who were selected using total sampling. Data were collected using the symptom checklist for long COVID-19 based on the World Health Organization (WHO) and the WHOQOL-BREF questionnaire. Data analysis was performed using Spearman's rank correlation test. Results: The most respondents (48%) reported only one persistent symptom, mainly fatigue. Fatigue was often accompanied by shortness of breath and chest pain. Conclusion: Overall, QoL was rated good across psychological, social, and environmental domains. No significant correlation was found between the number of symptoms and overall QoL. However, a weak but significant association existed with physical health (p=0.009, r=0.36). The number of Long COVID symptoms is significantly associated with lower physical quality of life among survivors. Future efforts should focus on community-based rehabilitation programs to improve survivors' well-being.

NurseLine JournalVol. 10(1)
Jenderal Soedirman University (ID)
Openalex Percentile: Top 74%
Long-Term Effects of COVID-19
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.