Average Quality Of Life Score Research Articles

The effects of electronic cigarette use patterns on health-related symptom burden and quality of life: analysis of US prospective longitudinal cohort study data

ObjectiveThis study aimed to examine the association between e-cigarette (EC) use patterns and health-related symptoms (fatigue, pain, and emotional problems) as well as general quality of life (QoL).MethodsData were analyzed from 7,225 adults across Waves 1–6 of the US Population Assessment of Tobacco and Health (PATH) study. Current combustible cigarette (CC) or EC use patterns included dual CC/EC use, exclusive EC use, non-current use of CC or EC, and exclusive CC smoking. Multivariate linear mixed-effects models were used to investigate longitudinal associations between EC use patterns, and symptom burdens/QoL scores.ResultsThose who were not currently smoking or vaping reported the lowest fatigue, pain, and emotional problems, and the best QoL, among the four groups (all p < 0.001). Compared to exclusive CC smoking, exclusive EC use was associated with a significant decrease of 0.065 units in average fatigue (95% confidence interval [CI]: −0.121, −0.009), of 0.206 units in average pain (95% CI: −0.355, −0.058), and of 0.103 units in average QoL scores (95% CI: −0.155, −0.051), with emotional problems similar over time.ConclusionExclusive EC users had less health-related symptoms and better QoL than those who were exclusive CC smokers. This should be taken into account when assessing the harm reduction potential of ECs.

Quality of Life among Men and Women Diagnosed with Infertility in Khyber, Pakhtunkhwa

Background: Infertility is a sensitive global issue, characterized by a couple's inability to conceive or maintain a pregnancy. Infertility is classified into two types: primary infertility, where a couple has never achieved pregnancy, and secondary infertility, where a couple cannot conceive or maintain a pregnancy after engaging in unprotected intercourse. Objective: This study aimed to evaluate the quality of life among men and women diagnosed with infertility in Khyber Pakhtunkhwa. Methodology: The study used a cross-sectional design and was conducted in outpatient clinics in Khyber Pakhtunkhwa with a sample of infertile individuals (n=377). Quality of life among infertile couples was assessed using the standardized FERTIQOL instrument, with additional variables relevant to the study context. Results: The results showed that the average quality of life score for infertile couples was 63.84 out of a possible 120. According to the FERTIQOL assessment, the emotional wellbeing score was low at 14.29, and the mind-body score was also poor at 15.49. The relational score, at 18, was considered average, while the social domain score of 16.05 indicated a poor quality of life. The study also examined associations between quality of life and various sociodemographic factors, including age, gender, education, income, and type of infertility. Although most of these variables were not statistically significant, gender and education were found to be significantly associated with quality of life, with p-values of 0.00 and 0.16, respectively. Conclusion: Based on these findings, it can be concluded that infertile couples experience a low quality of life.

Role of Social Support in Improving Quality of Life among Myanmar Women Migrant Workers in Central and Northern Thailand: Implications for Community Nursing

Background: Social support and quality of life (QoL) are crucial for the well-being of individuals. Myanmar women migrant workers in Thailand represent a vulnerable population, yet there are limited studies on social support and QoL among these migrants. Methods: This cross-sectional study investigated associations between social support and QoL among Myanmar women migrant workers in central and northern Thailandthrough multistage sampling using a structured questionnaire. Social support was measured using the Medical Outcome Study Social Support Survey, and QoL was assessed using the WHOQOL-BREF. Multiple linear regression was analysed to find the association between social support and QoL, adjusting for sociodemographic variables. Results: Among 575 participants, they had an average overall social support score of 61.73 ± 16.47, with low support = 24.35%, moderate support = 46.43%, and high support = 29.22%. The average overall QoL score was 90.54 ± 13.23. Higher social support was positively associated with QoL (B = 4.781 for moderate support and B = 9.721 for high support, p < 0.01). Higher education and easier access to emergency finances were also positively associated with QoL. Conclusion: Tailored social support interventions are recommended to enhance QoL among Myanmar women migrant workers in Thailand. Community nurses play a critical role in these interventions by providing education, facilitating access to resources, and fostering supportive networks.

Quality of Life and Complications Among Hemodialysis Patients.

Background Patients with renal impairment who require frequent hospitalizations or dialysis must undergo the rigorous process known as hemodialysis (HD). Hemodialysis is a complex treatment for people who require frequent hospital or dialysis appointments, typically three times each week. We aim to explore the quality of life of hemodialysis patients and their complications. Methodology This case-control study focuses on renal failure patients in Riyadh's hemodialysis units. The case group included 50 hemodialysis patients with 50 healthy individuals medically free in the control group who were the same gender and age as the case group. The comparison was made using a quality of life (QoL) short form 36 questionnaire conducted by a trained physician via Google Forms. The data was obtained in February and March 2023. Results The majority of participants were male (68; 68%), aged 40-50 years (42; 42%), 53 (53%) were non-Saudi, 76 (76%) began hemodialysis one year ago, and 30 (30%) developed an infection as a complication. There was a significant statistical relationship between our results and the results of a medical outcome study in the emotional problem and energy/fatigue domains. Conclusion In all domains, HD patients performed worse on subscales than healthy people of the same age and socioeconomic status. The average QoL score for HD patients was lower than that of healthy individuals. There was a statistically significant relationship between healthy people and hemodialysis patients in two domains: emotional problems and energy/fatigue levels.

Quality of Life of Malaysian Older Adults of Indian Community: A Pilot Study

Background: Quality of life (QOL) among the geriatric population is a global concern as it reflects the status of health and of wellbeing. Aims: Aims of this pilot study to assess the quality of life and its associated factors among older adults of Malaysian Indian community living in urban areas. Settings and Design: A community based cross sectional pilot study, using convenience sampling technique was conducted from April 2024 to May 2024, among 30 older adults in a urban town, Sungai Petani, Kedah, Malaysia. Materials and Methods: Quality of life scale developed through the World Health Organization (WHOQOL-BREF) questionnaire was used to collect data, about quality of life and socio-demographic details were also collected. Statistical Analysis: The collected data were analyzed by SPSS version 21 and p < 0.05 was considered statistically significant. Results: The highest average quality of life score, 3.6762±1.10, was in the psychological health domain and the lowest was in the physical health domain, 3.3714±0.31. The scores of the other two domains were moderate, that is, the social relationship score was 3.5111±0.48 and the environment score was 3.4000±0.83. Conclusion: The quality of life score among the elderly was moderate, while in the domain of psychological health, the quality of life score was found to be high. The quality of life scores of the social relations and environmental domains were moderate while the quality of life scores of the physical health domain were the lowest. Lifelong education that includes, the importance of understanding physical health activities, and environmental changes and improvements in social relationships can help in improving the quality of life among the elderly of the Indian community in the city of Sungai Petani, Kedah, Malaysia.

Exploring Factors Influencing the Physical and Mental Quality of Life of Caregivers of Cancer Patients: A Cross-Sectional Study at Hassan II University Hospital Center.

Background Cancer is a serious public health problem worldwide, causing an impact not only on the patient's quality of life (QoL) but also on their caregiver. This study aims to assess the socio-demographic characteristics, physical and mental QoL, and associated factors among caregivers of cancer patients at the Hassan II University Hospital Center in Fez, Morocco. Methods This is a cross-sectional study of 247 caregivers of cancer patients. Their QoL including physical and mental health aspects was assessed using a 12-item Short Form health survey (SF-12). Statistical analysis was conducted utilizing IBM SPSS Statistics for Windows v26.0 (IBM Corp., Armonk, USA). This included calculating frequency distributions and percentages. The general and socio-demographic data associated with QoL were analyzed using the student's t-test and one-way analysis of variance (ANOVA). Only variables with p-value <0.05 were considered statistically significant. Results The majority of the participants were 40 years old and over, and 54.3% of the total participants were women. The average physical QoL score was 47.32 (±7.08), while the average mental QoL score was 31.64 (±14.44).For caregivers, certain personal attributes and circumstances were found to influence their mental and physical QoL. Age, gender, and being unemployed were common factors impacting both the mental and physical well-being of caregivers. Moreover, being married (P=0.019) was an additional factor affecting their physical QoL. In contrast, specific aspects related to the caregiving role itself also played a significant role. Caregivers who were close family members of patients (P=0.0001) and those providing care for patients with genitourinary cancer (P=0.048) experienced a notable detrimental effect on their mental QoL. Conclusion This study highlights several factors associated with the poor QoL of caregivers, such as gender, age, professional activity, and the relationship with the patient. It is imperative to establish a specific support system for caregivers of cancer patients, including social and economic assistance, to enhance their physical and mental QoL.

Quality of Life of Healthcare College Students in Riyadh, Saudi Arabia.

The aim of this study was to assess the quality of life (QOL) and its influencing factors among healthcare college students in Riyadh, Saudi Arabia. A cross-sectional study was conducted among healthcare students at King Saud University. A modified version of the Arabic World Health Organization Quality of Life-BREF (WHOQOL-BREF) questionnaire, including 25 questions, was used to assess students' QOL. Data were collected through an online survey and analyzed using IBM SPSS Statistics version 26 (IBM Corp., Armonk, NY). Descriptive and regression statistics were used. A total of 547 healthcare students completed the questionnaire during the data collection period. Of all the students, 39.7% were from applied medical college, 62.5% were females, 98.9% were single, and 91.8% were non-smokers. Regarding academic status, 58.3%did not participate in any extracurricular activity, 42.6% had an academic advisor, and 80.4%had a grade point average (GPA) higher than 4.1. The average QOL score across all domains was moderately good (60.30 ± 16.0), whereas the physical domain showed the poorest score (46.89 ± 14.8) while the environmental domain had the greatest score (68.04 ± 20.6). The environmental domain was the only domain that showed significant differences between healthcare colleges (p <0.001). Moreover, students who were male (p = 0.009), non-smokers (p = 0.023), reported living with family/friends (p =0.031), and from families with high monthly income (p < 0.001) had significantly higher environmental QOL scores than their counterparts. The study found that healthcare students had moderately good mean QOL scores. The environmental domain was the only QOL domain that showed significant differences between healthcare colleges with the greatest scoreamong medical college students. Gender, smoking status, residence status, and family monthly income were found to have a strong association with students' environmental QOL scores. Institutions need to focus on the regular measurement of students' QOL, which facilitates implementing strategies that can promote their overall QOL and subsequently positively impact their performance academically and practically.

Assessment of lifestyle factors, stress levels, and quality of life among people with Type 2 Diabetes Mellitus

BackgroundIndia is deemed the “Diabetes Capital,” with over 100 million people suffering from this deadly disease. The disease is a lifestyle disorder and significantly impacts the quality of life. Thus, the study assesses the lifestyle factors and quality of life (QoL) among people suffering from Type 2 Diabetes (T2D).Materials and methodsA cross-sectional study was conducted among 100 T2DM participants aged 18–65. Data were collected from Diabetic Clinics across Pune City using the Modified Diabetes Quality of Life Questionnaire, having seven domains with 17 questions. Perceived Stress Scale (PSS) and International Physical Activity Questionnaire (IPAQ) were used to assess Stress and Physical Activity. Purposive and snowball sampling techniques were used to collect data. The data was entered and cleaned in Microsoft Excel and analysis was done using SPSS v23. Descriptive and inferential analysis was computed.Results60% of the participants were males with a mean age of 43.30 ± 10.89 years. The mean age of women was 50.17 ± 10.13 years. The mean HbA1c of males and females was 7.98 ± 1.41 and 7.83 ± 1.25, respectively. 83% have moderate stress, while 11% have low stress. Only 11% were found to be physically active. The average QoL score of the participants was 63.4 ± 11.2, non-significantly higher in males than in females (64.9 ± 11.03 vs 61.0 ± 11.22). Domain assessment of QoL showed statistical significance among general health (p = 0.002) and energy fatigue (p = 0.015), with males having better general health than women, and energy levels were better in females than males. However, no significance was seen between the genders in physical function, emotional well-being, and role limitation. A statistical significance for energy fatigue (p = 0.031) was observed when QoL was assessed across the disease duration.ConclusionDue to a sedentary lifestyle and increased stress, the glycemic profile of the participants was uncontrolled, which negatively impacted their quality of life. Thus, a holistic approach to managing diabetes will be more beneficial in improving the quality of life.

Quality of Life of Cancer Patients In A Cancer Hospital of Chitwan

Introduction: Cancer is the third leading cause of death in developing countries and is appearing indistinctly public health catastrophe. Quality of Life (QoL) is one of the most important patient-reported outcomes in cancer therapy. As many studies had shown that QoL is important to be assessed but it is still lacking in it. Thus, the objective of this research was to assess quality of life of cancer patients. Methods: A descriptive cross-sectional research design was used to assess the quality of life of cancer patients in B.P. Koirala Memorial Cancer Hospital. Non-probability purposive sampling technique was adopted to collect data from 384 respondents. Structured interview schedule; European Organization for Research and Treatment of Cancer (EORTC QLQ-C30): A Quality of Life Instrument tool was used to collect data. Descriptive (mean, frequency, percentage, and standard deviation) and inferential (Whitney U test, Kruskal-Wallis H and Pearson's correlation coefficient) statistics were applied for data analysis in Statistical Package for Social Science (SPSS) version-16. Results: The finding of this study showed that more than half (63.3%) of the respondents had high quality of life. The average quality of life score for three different scales were 59.8 (global health status scale), 82.0 (functional scale) and 25.8 (symptom scale). Education, annual family income, ECOG performance status and site of cancer were found to be significantly associated with the three different quality of life scales. There was positive relation of functional scale and negative relation of symptom scale with global health status scale. Conclusion: Most of the respondents had high QoL but few of them had still low QoL. Therefore the research finding highlights the importance of provision of necessary beneficiaries for cancer patients to improve their quality of life.

The relationship between the duration of diabetes and dimensions of general health and quality of life associated with the health of diabetic patients.

Diabetes is one of the most common chronic diseases in the world. Diabetes has a major impact on the quality of life of patients. The purpose of this study is the relationship between the duration of diabetes and dimensions of general health and quality of life associated with the health of diabetic patients. In this cross-sectional-analytical study, diabetic patients with more than 1-year history who were not suffering from other chronic diseases were included in the study. Then, using 15 questions for diabetes quality of life, questionnaires and GHQ28 general health were investigated in terms of quality of life and general health. The data were statistically analyzed using SPSS version 24 software. The average age was equal to 42.8 ± 14.4 years (with a median of 40 years). The average duration of the disease in the patients was equal to 7.7 ± 7.2 years (with a median of 5 years). The average quality of life score of the patients was equal to 50.3 ± 7.8 (out of 75). A negative and significant correlation between age and quality of life of patients was observed (P < 0.001). The duration of the disease had a direct and significant relationship with the general health score. But a significant difference between the quality of life of married and single people was not observed (P = 0.613). A direct and significant relationship between duration of disease, age with physical symptoms (P < 0.001), anxiety and insomnia (P = 0.001), social activity failure (P = 0.013), and depression (P = 0.001) was observed and was also observed with the overall score of general health (P < 0.001). The duration of diabetes disease affects the quality of life and general health of diabetic patients, and discomfort, depression, and anxiety are the main problems that affect the quality of life of diabetic patients.

Quality of life and activities of daily living one year after Coronary Artery Bypass Graft (CABG) surgery: a cross-sectional study

BackgroundDaily activities have been recommended to minimize the long-term complications of coronary artery bypass as one of the strategies to return to the normal activity level, the effectiveness of which needs further investigation. This study aims to determine the quality of life and activities of daily living one year after CABG.MethodsThis cross-sectional study was performed on 206 patients who had undergone CABG for more than one year in 2018 in the north of Iran. The research instrument was a questionnaire including five sections, Data were analyzed using descriptive statistics and Chi2, Mann–Whitney U, Kruskal–Wallis tests, and a Logistic regression model.ResultThe mean score of quality of life was 31.7 ± 2.04 of 12 to 48 possible scores. About Activities of Daily Living results showed 99.5% and 84.7% of the samples needed help with many of these activities respectively. The mean score of quality of life was significantly different based on sex (p < 0.018) and instrumental activity of daily living (p < 0.0001). A logistic regression model was used to determine the factors related to quality of life. The final model showed cross-clamp duration (OR = 0.33,p = 0.014), length of stay(LOS)in the intensive care unit(OR = 0.42,p = 0.05), and instrumental activities of daily living (OR = 0.08,p = 0.001) predicted patients' quality of life one year after coronary artery bypass grafting.ConclusionAlthough more than half of the samples had a good average quality of life score, due to the lack of definitive treatment for coronary artery disease, it is suggested to consider predictive variables to help plan to improve the quality of life of these patients.

Effective spiritual care of elderly patients following the Kaigo method at Hue Central Hospital

ABSTRACT Background: Elderly care according to the Kaigo method is a specialized care system developed in Japan. It aims to provide holistic nursing support for the elderly, encompassing physical, psychological, and social needs. This research aimed to evaluate the effectiveness of the Kaigo method in the mental care of elderly patients at the Department of General Internal Medicine and Geriatrics, Hue Central Hospital. Methods: An intervention study without a control group was conducted, involving pre - and post - intervention monitoring of 114 patients over 60 years old receiving inpatient treatment. Results: The average happiness index according to WHO-5 before and after the intervention was 42.26 ± 10.45 and 84.12 ± 12.1, respectively. The average quality of life score according to the EQ 5D5L scale before and after the intervention was 17.54 ± 1.22 and 11.25 ± 3.06, respectively. The inpatient experience score before the intervention was 3.14 ± 0.73 and 3.92 ± 0.91 after the intervention. Factors related to the change in the happiness index in the intervention group included the quality of life and inpatient experience scores. Conclusion: Spiritual care for elderly patients using the Kaigo method significantly improved the happiness index and quality of life and inpatient experience.

Balancing the Scales: Caution in Reduction Mammaplasty Recommendations for Obesity Class III Patients.

The prevalence of obesity has risen worldwide, posing a problem to surgeons as obesity is a well-known risk factor for surgical outcomes. While prior studies have suggested performing reduction mammaplasty (RM) in patients with obesity, the variance in outcomes and quality of life (QoL) for obesity classes are ill-defined. We investigated whether obesity classes should be considered for RM by examining the surgical outcomes and QoL across different weight classes, aiming to pinpoint when outcomes become less favorable. Patients undergoing RM by nine surgeons from 2016 to 2022 were included. Body mass index (BMI) cohorts were formed according to the Center for Disease Control and Prevention (CDC) guidelines: Healthy (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), obesity class I (30-34.9 kg/m2), II (35-39.9 kg/m2), and III (>40 kg/m2). QoL was assessed by comparing preoperative and postoperative BREAST-Q scores within cohorts. A comparison analysis was performed between weight classes. A total of 461 RM patients were identified (healthy: 83, overweight: 178, I: 142, II: 39, III: 19). Percentage of Black patients, procedure length, weight of tissue removed, and inferior pedicle technique all significantly increased as BMI increased (P < 0.001). Higher BMI cohorts, especially class III, had significantly higher rates of surgical site infections (healthy: 0%, overweight: 1.1%, I: 1.4%, II: 0%, III: 15.8%, P < 0.01), fat necrosis (healthy: 1.2%, overweight: 5.1%, I: 7%, II: 0%, III: 22.2%, P = 0.01), dehiscence (healthy: 3.6%, overweight: 2.8%, I: 2.1%, II: 5.1%, III: 31.6%, P < 0.01), delayed healing (health: 4.8%, overweight: 11.2%, I: 16.9%, II: 28.2%, III: 42.1%, P < 0.01), minor T-point breakdown (healthy: 10.8%, overweight: 15.7%, I: 23.9%, II: 23.1%, III: 52.6%, P = 0.01), and surgical site occurrence requiring procedural intervention (healthy: 6.0%, overweight: 5.6%, I: 6.3%, II: 15.4%, III: 21.1%, P < 0.05). When compared to the other weight classes independently, class III was associated with unfavorable outcomes (P < 0.05). Significant improvement in average postoperative QoL scores in satisfaction with breast, psychosocial well-being, sexual well-being, and physical well-being were seen in all cohorts except class III (P < 0.05). Severe obesity class III patients undergoing RM have a higher yet still acceptable risk profile and should be counseled on the risks despite its improved quality of life.

Unveiling impacts: A quality of life survey for individuals with a history or diagnosis of cancer.

e23179 Background: Cancer treatments, despite increasing effectiveness, involve significant short and long-term side effects profoundly impacting a person's quality of life (QoL). In response, Advocates for Collaborative Education, a global coalition of patient advocates, initiated an exempt, online survey to gather insights on the perceived QoL impact of cancer diagnosis and treatment. The effort sought to identify community priorities and hopes to guide improvements in supportive care. Methods: A comprehensive survey, developed by patients, survivors, and advocates, comprised six sections and 93 questions. Co-creation played a vital role in determining relevant categories, questions, and measurement scales to assess severity and impact of QoL challenges. The study requested demographic and cancer diagnosis data before inquiring about 17 treatment-related side effects, their perceived severity, preparation, unintended side effects of supportive care, and personal preferences for cancer-related information. Recruitment was conducted via social media. Results: The survey garnered responses from 515 individuals with a history of cancer and a wide range of demographic subsets, including age, race, stage of cancer, and treatment modalities. Survey respondents reported an average pre-diagnosis QoL score of 8.87 out of 10, which declined to a mean score of 6.41 post-diagnosis. Across all cancer types, physical well-being was a top priority for most respondents (51.5%), followed by emotional well-being (25.4%). Across a variety of side effects, unintended consequences of side effect treatments were highlighted, revealing complexities in supportive care. Detailed results for all categories and stratification by subsets of age, race, metastatic vs. early stage, treatment type, and others are available for presentation and publication purposes. Conclusions: This study highlights the significant negative impact of cancer treatment on an individual's QoL, addressing an underexplored area of cancer research. While managing treatment side effects is crucial, supportive therapies may introduce additional side effects, exacerbating an overall burden on patients. The collaborative survey development with patients and survivors represents a pivotal step, offering valuable insights for enhancing the well-being of individuals affected by cancer. [Table: see text]

Family cohesion and quality of life significantly affecting personality changes in adult epilepsy patients: a case-control study

ObjectiveThe goal of epilepsy treatment is not only to control convulsive seizures but also to improve the quality of life of patients. This study aimed to investigate personality changes and the risk factors for their development in adult epilepsy patients.MethodsA case-control study in a Class III, Class A hospital. The study comprised 206 adult epilepsy patients admitted to the Neurology Department at the First Hospital of Jilin University between October 2019 and December 2021, while the control group consisted of 154 community volunteers matched with the epilepsy group based on age, sex, and education. No additional treatment interventions were determined to be relevant in the context of this study.ResultsThere is a significantly higher incidence of personality changes in epilepsy than in the general population, and patients with epilepsy were more likely to become psychoticism, neuroticism, and lie. Epilepsy patient’s employment rate and average quality of life score were significantly lower than that of the general population and had strong family intimacy but poor adaptability in this study. There are many factors affecting personality change: sleep disorders, economic status, quality of life, use of anti-seizure drugs, family cohesion and adaptability. The independent risk factors were quality of life and family cohesion.

Longitudinal Assessment of the Quality of Life in Oral Squamous Cell Carcinoma Patients.

Background Studies evaluating the quality of life (QoL) among oral cancer patients in the Indian population are scarce. Regular follow-ups and QoL assessment in oral squamous cell carcinoma (OSCC) patients can aid in comprehensive support strategies to improve their QoL outcomes. Aim and objectives This study aimed to assess the QoL of oral cancer patients and correlate the QoL with demographic and treatment parameters. Materials and methods The study included oral cancer patients who had previously reported to the Department of Oral and Maxillofacial Surgery. QoL assessment was done using the EORTC QLQ-C30 and QLQ-HN43 questionnaires before and after treatment. The clinico-demographic details, treatment data, follow-up data, and recorded mean QoL were procured from the patient records in Dental Information Archival Software. Assessment of QoL was done before treatment and at intervals of one month, three months, six months, 12 months, 24 months, and 36 monthspostoperatively after treatment. Statistical analysis was performed using IBM SPSS Statistics for Windows, Version 23 (released 2015; IBM Corp., Armonk, New York, United States). A repeated measures analysis of variance (ANOVA) was utilized for comparing the average QoL scores and frequency of follow-ups across various intervals. Chi-square tests assessed differences in mean QoL among genders, across different sites, and between primary closure and graft placement. The significance was set at a p-value of less than 0.05. Results A total of 90 OSCC patients had reported to the department. A preoperative assessment of QoL was done for 90 (100%) patients. Out of these patients, surgery has been performed on 41 (45%). Twenty-five out of 41 (60%) patients had responded to regular follow-up, and QoL was assessed for these patients. After the immediate postoperative phase, only 12 (48%) had reported after three months. Only six (24%) had a 12-month follow-up, five (20%) had a two-year follow-up, and one (4%) had a three-year follow-up. There was a constant decrease in the number of follow-ups after the treatment of OSCC (p=0.00). Prior to treatment, the mean QoL index was 4.64. Females had a slightly higher preoperative QoL of 4.76 compared to males, with a score of 4.67 (p=0.157). Immediately after the treatment of OSCC, a decline in QoL scores was noted, with a mean score of 4.25 (p=0.32). Patients who underwent primary closure after excision had a mean post-op QoL score of 4.9, while patients who underwent graft placement had a mean score of 4.6 (p=0.157). Conclusion This study highlights the enduring impact of oral cancer on a patient's quality of life and emphasizes the need for ongoing research to explore specific interventions that can contribute to sustained improvement in QoL. It emphasizes personalized, holistic care approaches for such patients.

Abstract PO2-11-04: Assessing quality of Life in breast cancer patients undergoing mHealth mobile monitoring: A descriptive Analysis

Abstract Background: Breast cancer (BC) can be associated with a significant symptom burden that can be related both to the disease and to administered therapies. In particular, protocol related toxicity has an extreme impact on patient quality of life (QoL), and can lead to lack of adherence and ultimately, compromise therapy success. There is increasing interest in adopting more effective approaches for active/continuous patient-reported symptom monitoring. Emerging evidence, (Denis et al. 2019), shows that this strategy can reduce toxicity, emergency room visits, and improve QoL. Objectives: We aimed to analyze the QoL of women with BC diagnosis who underwent mobile-based continuous monitoring, searching for possible trends and describing the population. Methods: We conducted a retrospective analysis using data from patients with BC undergoing systemic treatment and monitored by a mobile-based application between January 2022 and June 2023 at an outpatient clinic in Brazil. Thummi is a digital platform for remote monitoring of cancer patients which enables them to record symptoms, toxicities and lifestyle variables. Utilizes the data to generate personalized recommendations and advice. It is available in Brazil at no cost. Doctors indicate the use and can monitor their patients in real time. In addition to an algorithm that informs the user if there is a need to go to the emergency room or not, the medical team can exchange real-time messages with patients. Clinicians have access to patient data through a web tool, allowing them to visualize the information, address symptom alerts, and make informed clinical-therapeutic decisions. The evaluated sample is from patients who come from physicians who indicated the use, without control of their origin, indication of treatment or clinical stage. The data were extracted from the platform's total database. Participants were requested to complete the Quality of Life Questionnaire (EORTC EQ-5D) integrated into the app every month. Inclusion criteria comprised a BC diagnosis, age ≥18, and having responded to the QoL questionnaire with at least a one-month interval between scores. Patients who failed to meet these criteria were excluded from the analysis. A comparison of QoL scores was performed between two periods: T0 (the first recorded response) and T1 (the subsequent response with at least a one-month interval between scores). Descriptive statistical analyses were conducted to search for possible trends, describe the population, and comprehensively examine the differences in QoL scores between T0 and T1. Results: There were 134 active patients in the mobile-based platform with a BC diagnosis, but only 86 (64,17%) met the inclusion criteria for the final analysis. The median age of this group was 54 years old (range 22-78). The most common treatments administered were Cyclophosphamide-Doxorubicin (28 patients, 33%) and Trastuzumab-Deruxtecan (18 patients, 21%). The average QoL score in T0 was 0,70 (SD 0,1379) and 1,0 (SD 0,1560) at T1, representing an increase of 30% after using the app for one month. Conclusion: This study suggests that mobile-based monitoring has the potential to improve the QoL for women diagnosed with BC. The difference in average QoL scores between the initial and subsequent periods indicates a positive impact of utilizing the platform. Further research is needed to establish a better correlation and to explore the specific interventions that contribute to these improvements. Implementing mobile-based monitoring in clinical practice could enhance patient well-being, treatment adherence, and survival time and can potentially lessen both burden of disease and resource utilization in BC care. Citation Format: Alessandra Morelle, Carlos Barrios, Carlos Pereira, Vinicius Agibert, Pedhro Lennon Freitas, Matheus Rocha, Paulo Schulze. Assessing quality of Life in breast cancer patients undergoing mHealth mobile monitoring: A descriptive Analysis [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-11-04.

골다공증 진단 여성노인의 삶의 질 영향요인

The purpose of this study was to investigate osteoporosis prevalence and factors influencing quality of life (HRQoL) among older Korean women with osteoporosis. The study design was a retrospective study using secondary data analysis. Data for 1,679 women aged 65 and older from the Korea National Health and Nutrition Examination Survey (KNHANES) 2016 to 2020 were included. Linear regression analysis was conducted for influential factors on HRQoL, measured by the Euro Quality of Life-5D (EQ-5D). The prevalence of osteoporosis among older women was found to be 39.6%. Significant variations in quality of life were observed across demographic factors such as age, residence, marital status, household type, household income, education level, and economic activity. Similarly, health-related characteristics including depression, subjective health status, comorbidity, activity limitation, stress perception, alcohol consumption, body mass index, exercise, and aerobic activity showed statistically significant differences in the quality of life. Participants had an average quality of life score of 0.84 ± 0.005. Factors influencing quality of life included household type, household income, subjective health status, depression, activity limitation, stress levels, age, and body mass index. Quality of life was higher among those living alone, with higher household income, better subjective health status, lower levels of depression and activity restriction, reduced stress levels, younger age, and lower body mass index. The model's explanatory power was 34.1%. These findings underscore the necessity for comprehensive and individualized nursing intervention programs.

The Effect of Vocational Training on Visually Impaired People's Quality of Life.

Quality of life (QOL) is frequently utilized in clinical medicine and research to assess a patient's health status and treatment effectiveness. This study investigates the impact of vocational training on the QOL of visually impaired individuals. We employed the brief Taiwan version of the World Health Organization QOL Questionnaire (WHOQOL-BREFTW) to assess four domains: physical, psychological, social, and environmental, using a nonequivalent pretest-posttest control group design. The experimental group participated in 6 months of vocational training, including life and career reconstruction. After completing the vocational training, the average QOL score for the experimental group was 3.34 ± 0.18, while the control group had a score of 3.10 ± 0.85. The generalized estimating equation (GEE) results revealed a notable improvement of 10.81 (1.10) in the posttest overall QOL scores compared to the pretest scores in the control group. Vocational training significantly improves the overall QOL for visually impaired individuals. It is noteworthy that the psychological, social relationship, and physical health domains of WHOQOL-BREF TW exhibited the most significant improvements. This emphasizes the following: 1. professional knowledge and technical learning can enhance the abilities of the visually impaired. 2. The improvement in QOL occurs primarily at physical, psychological, and social levels. These levels involve maintaining physical health, reducing dependence on medical care, and enhancing self-care abilities for life reconstruction. 3. Integrating electronics with directional action can help to mitigate the risks associated with outdoor activities.

Symptoms and quality of life in adults with cystic fibrosis: A cross-sectional analysis of the InSPIRe:CF trial

BackgroundPeople living with cystic fibrosis (CF) experience a high symptom burden. Due to the changing landscape of CF in the era of modulator therapy, we sought to examine the epidemiology of symptoms and their association with quality of life, to help CF clinicians improve symptom screening in clinic. MethodsUsing baseline data from a trial of specialist palliative care in adults with CF, we examined symptom prevalence, distress, and association with quality of life (measured with the Functional Assessment of Chronic Illness Therapy Total Score). ResultsAmong 262 participants, median age was 33, and 78% were on modulator therapy. The most common symptoms were lack of energy (n = 194, 74%) and cough (190, 73%), whereas the most distressing were difficulty sleeping (range 0–4, mean 2.19, SD 1.15) and pain (mean 2.04, SD 1.1). The symptoms that impaired quality of life the most were extrapulmonary: lack of energy (average quality of life score -29.8, 95% CI -36.8 to -22.8), feeling sad (-29.8, 95% CI -35.6 to -23.9) and worrying (-28.7, 95% CI -34.9 to -22.5). ConclusionsThe symptoms that were associated with the lowest quality of life were extrapulmonary. CF clinicians may consider screening for common symptoms that affect quality of life the most (lack of energy, worrying, difficulty sleeping, feeling irritable, pain, and shortness of breath). These symptoms may identify people living with CF who are most at risk for a decreased quality of life and may benefit from additional support.