Lung cancer is the major cause of oncologic-related death worldwide. Due to delayed diagnosis, 5-year survival rate accounts for only 15%. Treatment includes surgery, adjuvant chemotherapy, and radiation therapy; however, it is burdened by many side effects. Progress of the disease, severity of its symptoms, and side effects decrease significantly the quality of life (QoL) in those patients. The level of self-assessed QoL helps in predicting survival, which is especially important among patients receiving palliative care. Patients assess their functioning in five dimensions (physical, psychological, cognitive, social, and life roles), severity of symptoms, financial problems, and overall QoL. The QoL in lung cancer patients is lower than in healthy population and patients suffering from other malignancies. It is affected by the severity and the number of symptoms such as fatigue, loss of appetite, dyspnea, cough, pain, and blood in sputum, which are specific for lung tumors. Fatigue and respiratory problems reduce psychological dimension of QoL, while sleep problems reduce cognitive functioning. Physical dimension (related to growing disability) decreases in most of the patients. Also, most of them are unable to play their family and social roles. The disease is a frequent reason of irritation, distress, and depression. Management of the disease symptoms may improve QoL. Controlling the level of fatigue, pulmonary rehabilitation, and social and spiritual support are recommended. Early introduction of tailored palliative treatment is a strategy of choice for improvement of QoL in lung cancer patients.
BackgroundCOPD is a civilization disease. It affects up to 8%–10% of population >30 years of age. Coexistence of depression occurs in 20%–40% of patients with COPD. Depression and anxiety reduce compliance and worsen prognosis.ObjectiveThe aims of this study were to determine the degree of illness acceptance among patients with COPD, to examine the relation between disease acceptance and perceived anxiety and depression, and to verify which of the sociodemographic and clinical factors are associated with illness acceptance, anxiety, and depression.Materials and methodsThe study included 102 patients with COPD (mean age 65.8 years), hospitalized due to exacerbations. Acceptance of Illness Scale and Hospital Anxiety and Depression Scale were used. For statistical analysis, Student’s t-test and Pearson’s r correlation coefficient were carried out.ResultsThe overall illness acceptance level was moderate with a tendency toward lack of acceptance (mean 20.6, standard deviation [SD] 7.62). The overall scores were 10.2 (SD 3.32) for anxiety and 10.8 (SD 4.14) for depression, which indicate borderline or high intensity of these symptoms. Acceptance of illness was negatively correlated with the intensity of depression symptoms (r=−0.46, P<0.05). Intensity of depression was significantly associated with intensity of smoking, duration of the disease, severity of dyspnea, and living in a rural area.ConclusionEarly identification and assessment of depression and anxiety symptoms allow health care providers to offer patients at risk of depression a special medical supervision. Rapid start of antidepressant therapy may increase illness acceptance and improve prognosis among patients with COPD.
Background: Lung cancer is the major cause of cancer related deaths worldwide. The overall 5-year survival rate is very low and accounts for only 15%. Poor quality of life is considered a prognostic factor for shorter survival in lung cancer patients. The aim of the study was to examine the relationships between pain, the acceptance of illness and quality of life in patients with lung cancer. Methods: The study included 155 patients with lung cancer with mean age of 62.23 [standard deviation (SD)=9.86] years. We used the Acceptance of Illness Scale (AIS) and the Visual Analog Scale (VAS) for pain, and the Short Form Health Survey (SF-8) for the assessment of quality of life. For statistical analysis, Spearman's rank correlation coefficient and linear regression method were used.Results: Mean score of the acceptance of illness was 27.1 (SD=9.2). Mean score of the pain severity as measured by the VAS was 4.07 (SD=1.83). The acceptance of illness was significantly positively correlated with all the domains of quality of life. Both the AIS and the VAS were independent determinants of physical and mental components of quality of life. Age and World Health Organization (WHO) performance status were additional predictors of physical component of quality of life. Conclusions: The knowledge about the acceptance of illness, consequences of the decreased acceptance of illness, and factors affecting its level in patients with lung cancer is still insufficient. Relationships among acceptance of illness, quality of life, and pain should be further investigated.
Patients on dialysis have moderate-to-low AI. AI is an independent predictor positively correlated with QoL in all domains except for social relationships. The social and psychological support for dialyzed patient might improve their HRQoL and illness acceptance.
Introduction: Asthma is the most prevalent chronic disease in adults. It affects their quality of life. Studies confirm that depression and anxiety occurs in asthma patients. Material and methods:The study involved 96 patients with asthma divided into two groups: patients with controlled (n = 33) and uncontrolled asthma (n = 63). The analysis of asthma control was performed on the basis of the ACT (Asthma Control Test) results. The study used SF-36 (Short Form 36) questionnaire and HADS (Hospital and Depression Scale) Scale. Results: An analysis of the correlations between QoL (Quality of Life) and the level of depression revealed a decrease in QoL scores in MCS (Mental Component Score) domain in the group with controlled asthma (71.8 -patients without depression, 53.4 -patients with probable depression, and 51.4 -patients with depression; p = 0.032). A similar analysis of the correlations between QoL and the level of anxiety in this group of patients proved no correlations in PCS (Physical Component Score) and MCS domains. In the group of patients with uncontrolled asthma, anxiety and depression correlated negatively with the QoL in PCS and MCS domains. Anxiety and depression are found in asthma patients, with higher severity observed in patients with uncontrolled asthma. Female gender, the level of asthma control, asthma severity, smoking, as well as diagnoses of anxiety and depression are predictors of a significantly lower QoL in asthma. Conclusions: Anxiety and depression are found in asthma patients, with higher severity observed in patients with uncontrolled asthma. Female gender, the level of asthma control, asthma severity, smoking, as well as diagnoses of anxiety and depression are predictors of a significantly lower quality of life in asthma.
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