{"title":"新冠肺炎患者与健康相关的生活质量及其决定因素。","authors":"Seher Satar, Mustafa Engin Şahin, Pınar Ergün","doi":"10.5578/tt.20239706","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>One of COVID-19’s limitations is the reduced quality of life (QoL) caused by variety of underlying reasons. Even though multiple papers in the literature reveal a worsening of QoL after COVID-19, there is currently inadequate evidence on which patients’ QoL is impacted the most. Our study’s aim was to determine which patients’ quality of life was most compromised so that interventions for poor QoL should not be overlooked in the post-disease assessments of those in the risk group.</p><p><strong>Materials and methods: </strong>Patients referred to our pulmonary rehabilitation center for Long COVID symptoms had their dyspnea perception, body composition, exercise capacity, muscle strengths, and psychological state evaluated. In addition, SF-36 was used to assess their QoL. After obtaining all medical data, the patients were separated into three groups based on whether they had the disease as an outpatient, inpatient in the hospital, or in the intensive care unit. The Anova and Kruskal Wallis tests were utilized in the statistical analysis of demographic data among patient groups. Pearson’s test was used for normal distributions, whereas Spearman’s test was used for non-normal distribution analyses. The factors affecting QoL were investigated using multivariate linear regression analysis.</p><p><strong>Results: </strong>The majority of 173 study participants had poor QoL. Low exercise capacity (p= 0.026), impaired psychosocial status (p= 0.034 for anxiety, p= 0.022 for depression), and increased fatigue (p= 0.001) were the factors affecting SF-36’s physical component summary (PCS), whereas young age (p= 0.026), male sex (p= 0.037), impaired psychosocial status (p< 0.001 for anxiety, p= 0.002 for depression), and increased fatigue (p= 0.005) were the factors affecting the SF-36’s mental component summary (MCS).</p><p><strong>Conclusion: </strong>Young age, male sex, reduced exercise capacity, poor psychosocial status, and increased fatigue are predictors for impaired QoL after COVID19. Therefore, non-medical treatment options that improve QoL should be considered in the follow-up of these patients.</p>","PeriodicalId":45521,"journal":{"name":"Tuberkuloz ve Toraks-Tuberculosis and Thorax","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10795277/pdf/","citationCount":"0","resultStr":"{\"title\":\"Health related quality of life and its determinants in COVID-19 patients.\",\"authors\":\"Seher Satar, Mustafa Engin Şahin, Pınar Ergün\",\"doi\":\"10.5578/tt.20239706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>One of COVID-19’s limitations is the reduced quality of life (QoL) caused by variety of underlying reasons. Even though multiple papers in the literature reveal a worsening of QoL after COVID-19, there is currently inadequate evidence on which patients’ QoL is impacted the most. Our study’s aim was to determine which patients’ quality of life was most compromised so that interventions for poor QoL should not be overlooked in the post-disease assessments of those in the risk group.</p><p><strong>Materials and methods: </strong>Patients referred to our pulmonary rehabilitation center for Long COVID symptoms had their dyspnea perception, body composition, exercise capacity, muscle strengths, and psychological state evaluated. In addition, SF-36 was used to assess their QoL. After obtaining all medical data, the patients were separated into three groups based on whether they had the disease as an outpatient, inpatient in the hospital, or in the intensive care unit. The Anova and Kruskal Wallis tests were utilized in the statistical analysis of demographic data among patient groups. Pearson’s test was used for normal distributions, whereas Spearman’s test was used for non-normal distribution analyses. The factors affecting QoL were investigated using multivariate linear regression analysis.</p><p><strong>Results: </strong>The majority of 173 study participants had poor QoL. Low exercise capacity (p= 0.026), impaired psychosocial status (p= 0.034 for anxiety, p= 0.022 for depression), and increased fatigue (p= 0.001) were the factors affecting SF-36’s physical component summary (PCS), whereas young age (p= 0.026), male sex (p= 0.037), impaired psychosocial status (p< 0.001 for anxiety, p= 0.002 for depression), and increased fatigue (p= 0.005) were the factors affecting the SF-36’s mental component summary (MCS).</p><p><strong>Conclusion: </strong>Young age, male sex, reduced exercise capacity, poor psychosocial status, and increased fatigue are predictors for impaired QoL after COVID19. Therefore, non-medical treatment options that improve QoL should be considered in the follow-up of these patients.</p>\",\"PeriodicalId\":45521,\"journal\":{\"name\":\"Tuberkuloz ve Toraks-Tuberculosis and Thorax\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10795277/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tuberkuloz ve Toraks-Tuberculosis and Thorax\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5578/tt.20239706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tuberkuloz ve Toraks-Tuberculosis and Thorax","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5578/tt.20239706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
Health related quality of life and its determinants in COVID-19 patients.
Introduction: One of COVID-19’s limitations is the reduced quality of life (QoL) caused by variety of underlying reasons. Even though multiple papers in the literature reveal a worsening of QoL after COVID-19, there is currently inadequate evidence on which patients’ QoL is impacted the most. Our study’s aim was to determine which patients’ quality of life was most compromised so that interventions for poor QoL should not be overlooked in the post-disease assessments of those in the risk group.
Materials and methods: Patients referred to our pulmonary rehabilitation center for Long COVID symptoms had their dyspnea perception, body composition, exercise capacity, muscle strengths, and psychological state evaluated. In addition, SF-36 was used to assess their QoL. After obtaining all medical data, the patients were separated into three groups based on whether they had the disease as an outpatient, inpatient in the hospital, or in the intensive care unit. The Anova and Kruskal Wallis tests were utilized in the statistical analysis of demographic data among patient groups. Pearson’s test was used for normal distributions, whereas Spearman’s test was used for non-normal distribution analyses. The factors affecting QoL were investigated using multivariate linear regression analysis.
Results: The majority of 173 study participants had poor QoL. Low exercise capacity (p= 0.026), impaired psychosocial status (p= 0.034 for anxiety, p= 0.022 for depression), and increased fatigue (p= 0.001) were the factors affecting SF-36’s physical component summary (PCS), whereas young age (p= 0.026), male sex (p= 0.037), impaired psychosocial status (p< 0.001 for anxiety, p= 0.002 for depression), and increased fatigue (p= 0.005) were the factors affecting the SF-36’s mental component summary (MCS).
Conclusion: Young age, male sex, reduced exercise capacity, poor psychosocial status, and increased fatigue are predictors for impaired QoL after COVID19. Therefore, non-medical treatment options that improve QoL should be considered in the follow-up of these patients.