Health and Quality of Life Outcomes最新文献

{"title":"An Australian Value Set for the EQ-5D-Y-3L.","authors":"Tianxin Pan, Bram Roudijk, Nancy Devlin, Brendan Mulhern, Richard Norman","doi":"10.1186/s12955-025-02402-x","DOIUrl":"https://doi.org/10.1186/s12955-025-02402-x","url":null,"abstract":"<p><strong>Background: </strong>Australia has a well-established health technology assessment process and there is extensive use of generic health related quality of life (HRQoL) instruments in evidence presented to it. However, there are gaps in tools and evidence available to support evaluation of paediatric health. The aim of this paper is to produce an Australian EQ-5D-Y-3L (Y-3L) value set.</p><p><strong>Methods: </strong>The methods follow the international Y-3L valuation protocol, but with an expanded design. Data were collected using Composite Time Trade Off (cTTO) and Discrete Choice Experiment (DCE) data from two independent samples of adult members of the Australian general public. In total, 52 Y-3L health states, assigned into four blocks of 14 health states each containing health state 33333, were valued using cTTO. cTTO data were collected via videoconferencing interview and each respondent valued 14 health states. Mean observed cTTO values were adjusted for censoring at -1 using a Tobit model. For the DCE component, 150 latent scale DCE choice pairs were collected via an online survey with each participant completing 15 pairs. DCE data were modelled using a garbage class mixed logit model. Two approaches to anchor DCE data to the Quality Adjusted Life Years (QALYs) scale were explored: anchoring on the value for the worst health state (33333); and mapping DCE data onto the mean cTTO values using all 52 health states. Two evaluation criteria were used to select the final value set: (1) coefficient significance and logical consistency; (2) prediction accuracy of the mean observed cTTO values.</p><p><strong>Results: </strong>In total, 268 individuals participated in the cTTO interviews, and 1002 completed the DCE. The linear mapping without intercept performed best and was selected as the final value set. Health state values ranged between 0.142 and 1. The relative importance of domains by level 3 coefficients (ordered from most to least important) was: pain/discomfort, then feeling worried, sad or unhappy, usual activities, looking after myself, and mobility.</p><p><strong>Conclusion: </strong>This study reports an Australian value set for the Y-3L, which enables the calculation of QALYs for use in the economic evaluation of paediatric interventions and can support evidence development and decision making.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"23 1","pages":"72"},"PeriodicalIF":3.2,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144636923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between out-of-pocket expenditure and health-related quality of life among patients receiving cancer treatment: a cross-sectional study from Nepal.","authors":"Pratik Khanal, Suman Sapkota, Nirmal Poudel, Achyut Raj Pandey, Bidwata Bhattarai, Etna Khatiwada, Ravi Kant Mishra, Biraj Man Karmacharya, Shiva Raj Adhikari, Kjell Arne Johansson, Krishna Kumar Aryal","doi":"10.1186/s12955-025-02404-9","DOIUrl":"https://doi.org/10.1186/s12955-025-02404-9","url":null,"abstract":"<p><strong>Background: </strong>The financial burden of cancer care may significantly impair patients' health-related quality of life (HRQoL), yet the extent and nature of this relationship remain underexplored, particularly in low-resource settings. This study aimed to report the HRQoL of patients currently receiving treatment for selected cancers (breast, cervical, lung, oesophageal and stomach) in Nepal. We further investigate the association of out-of-pocket expenditure (OOPE) with HRQoL.</p><p><strong>Methods: </strong>A cross-sectional survey was conducted from April to May 2024 among 353 patients undergoing cancer treatment in two tertiary cancer hospitals in Nepal. We used the European Quality of Life 5 dimensions (EQ-5D-5L) and the European Quality of Life Visual Analogue Scale (EQ-VAS) to obtain their HRQoL. Similarly, we collected sociodemographic and treatment-related data, including OOPE and patient satisfaction. We used the ordinary least squares estimation with robust standard errors to identify the association between OOPE and HRQoL (EQ-5D-5L index score).</p><p><strong>Results: </strong>The mean (SD) EQ-5D-5L index score was 0.39 (0.42), and the mean (SD) EQ-VAS score was 56.65 (21.71). Anxiety/depression and pain/discomfort were the most common reported problems (> 90% of the study participants), whereas pain/discomfort had the greatest disability weight (0.17). In the regression analysis, the logarithms of OOPE (β = -0.086; 95% CI: -0.132 to -0.040) was significantly associated with a lower EQ-5D-5L index score. Other significant covariates included being currently not married (β = -0.149; 95% CI: -0.274 to -0.024), having stage IV cancer during diagnosis (β = -0.212; 95% CI: -0.364 to -0.061) and patient satisfaction score (β = 0.015; 95% CI: 0.001 to 0.030).</p><p><strong>Conclusions: </strong>The study revealed a moderate quality of life among patients currently receiving cancer treatment in Nepal. Higher OOPE along with stage IV cancer during diagnosis and being currently not married were associated with lower HRQoL, whereas higher patient satisfaction score was associated with higher HRQoL. These insights might be helpful for providing targeted interventions such as emphasizing early diagnosis and management and focusing on patient satisfaction and those at financial risk to improve the HRQoL of people with cancer.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"23 1","pages":"73"},"PeriodicalIF":3.2,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144636924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of the measurement properties of EQ-5D-5L and SF-6Dv2 in Chinese patients on dialysis.","authors":"Ye Zhang, Zeyuan Chen, Li Yang, Johan Jarl","doi":"10.1186/s12955-025-02403-w","DOIUrl":"10.1186/s12955-025-02403-w","url":null,"abstract":"<p><strong>Background: </strong>Measuring health-related quality of life (HRQoL) in dialysis patients is essential for clinical assessment and economic evaluation. Despite the emergence and increasing use of updated instruments, evidence comparing their performance in Chinese dialysis patients remains limited. The aim of this study was to compare the measurement properties of the EQ-5D-5L and the SF-6Dv2 instruments in Chinese patients on dialysis and to provide a reference for future utility scale choice for Chinese dialysis patients.</p><p><strong>Methods: </strong>Data were obtained using Wen Juan Xing questionnaire from dialysis patients during November 2023 to January 2024 in hospitals in China. The questionnaire included the EQ-5D-5L, SF-6Dv2, the kidney disease quality of life instrument (KDQOL-36), clinical and socio-demographic characteristics. The agreement of utility scores was assessed using intra class correlation coefficients (ICC) and Bland-Altman plots. The construct validity was evaluated using Spearman's correlation coefficient. The known group validity was evaluated by comparing the scores among patients with different health states, and sensitivity was compared using relative efficiency and the effect size.</p><p><strong>Results: </strong>A total of 378 patients (male, 49.5%; mean age, 49.1 years) were included in this study. The ICC between EQ-5D-5L and SF-6Dv2 utility values was 0.639. The correlation between the two scales was strong (0.767). Both scales showed known groups validity, although the SF-6Dv2 was more sensitive. The differences in the SF-6Dv2 scores for patients in better and worse health state were greater than those measured by the EQ-5D-5L scores.</p><p><strong>Conclusions: </strong>Both EQ-5D-5L and SF-6Dv2 instruments are valid for dialysis patients. However, the two scales cannot be used interchangeably, and it appears that the SF-6Dv2 was more sensitive in capturing health state differences for dialysis patients in China.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"23 1","pages":"71"},"PeriodicalIF":3.2,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247321/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144608178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Health-related quality of life of patients with multiple sclerosis in China: a national online survey.","authors":"Xinyi Song, Xuanqi Qiao, Yusheng Jia, Hainan Li, Pei Wang, Min Hu","doi":"10.1186/s12955-025-02376-w","DOIUrl":"10.1186/s12955-025-02376-w","url":null,"abstract":"<p><strong>Background: </strong>To measure and value the health-related quality of life (HRQOL) of Chinese Multiple sclerosis (MS) patients, and to explore the influencing factors.</p><p><strong>Methods: </strong>A national online survey amongst the patients was conducted in July 2022. Information on patient demographics, clinical characteristics (MS subtype and disability status), and the HRQOL measured by EQ-5D-5L were collected. Disability status was classified based on the self-reported Expanded Disability Status Scale (EDSS). Both the Tobit and logistic regression models were adopted to assess the impact of clinical characteristics on HRQOL with the adjustment of demographic characteristics.</p><p><strong>Results: </strong>A total of 733 eligible patients (mean age 34.31 years; 67.7% females) were included in the analysis. The mean EQ-5D-5L health utility score (HUS) and VAS score were 0.73(SD:0.29) and 68.7(SD:23.9), respectively. MS patients reported a high prevalence of health problems in all the EQ-5D dimensions, ranging from 25.6% (self-care) to 74.9% (anxiety/depression). According to Tobit regression analyses, secondary progressive MS was associated with lower VAS compared to relapsing-remitting MS. Worse disability status measured by EDSS was related to the lower HUS and VAS scores. Demographic characteristics including younger age, higher education level, and employment were also identified as protective factors of the patients' HRQOL.</p><p><strong>Conclusions: </strong>This study assessed HRQOL of Chinese MS patients using the EQ-5D-5L. Our finding revealed that MS subtypes and disability status are the most important factors affecting their HRQOL.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"23 1","pages":"70"},"PeriodicalIF":3.2,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12243260/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144600174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physical activity and health-related quality of life after lung cancer surgery- cross-sectional analyses 3 and 12 months postoperatively.","authors":"Marcus Jonsson, Anita Hurtig-Wennlöf, Anders Ahlsson, Elisabeth Westerdahl","doi":"10.1186/s12955-025-02400-z","DOIUrl":"10.1186/s12955-025-02400-z","url":null,"abstract":"<p><strong>Background: </strong>Lung cancer is one of the most frequently diagnosed cancers, and the leading cause of cancer deaths worldwide. Surgical resection is the primary curative treatment. The World Health Organization (WHO) recommends that all adults, including cancer survivors, should engage in at least 150 to 300 min of moderate-intensity aerobic physical activity per week. Positive associations have been found between self-reported physical activity and health-related quality of life (HRQoL) after lung cancer surgery. However, there is a lack of studies concerning objectively measured physical activity levels, and longer follow-ups are also missing. This study investigated the relationship between objectively measured physical activity levels and HRQoL in patients 3 and 12 months after lung cancer surgery.</p><p><strong>Methods: </strong>Utilizing a cross-sectional design, patients were followed up 3 (n = 83) and 12 (n = 57) months after lung cancer surgery. HRQoL was assessed with the cancer-specific questionnaire EORTC QLQ-C30 and the lung-cancer-specific module LC13. Physical activity was measured with a tri-axial accelerometer (ActiGraph GT3X+).</p><p><strong>Results: </strong>At 3 months after surgery, 51% (n = 42) of the patients reached the level of physical activity recommended by the WHO; the corresponding result at 12 months was 42% (n = 24). Patients who reached the recommended level of physical activity reported a better HRQoL, with better global health status and physical function as well as lower symptoms of fatigue, at both 3 and 12 months postoperatively.</p><p><strong>Conclusions: </strong>Physical activity was positively associated with HRQoL. Encouraging and supporting patients to engage in regular physical activity could contribute to better HRQoL after lung cancer surgery.</p><p><strong>Trial registration: </strong>The trial was registered at ClinicalTrials.gov (NCT01961700), registration date 20,131,009.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"23 1","pages":"69"},"PeriodicalIF":3.2,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12239488/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144591141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Quality of Life in People Living with HIV: A Machine Learning Model Integrating Multidimensional Determinants.","authors":"Meilian Xie, Zhiyun Zhang, Yanping Yu, Li Zhang, Jieli Zhang, Dongxia Wu","doi":"10.1186/s12955-025-02398-4","DOIUrl":"10.1186/s12955-025-02398-4","url":null,"abstract":"<p><strong>Objective: </strong>With survival steadily improving among people living with HIV(PLWH), quality of life (QoL) has emerged as the ultimate benchmark of therapeutic success. We therefore aimed to develop and validate machine learning models that predict QoL trend in PLWH, identifying key determinants to inform personalized interventions and optimize long-term well-being.</p><p><strong>Methods: </strong>In this longitudinal observational study, PLWH were recruited from March 2024 to December 2024. Sociodemographic and clinical variables were collected, and the 31-item WHOQOL-HIV BREF was adopted as the QoL measure. The symptom experience was assessed using the Self-Report Symptom Scale (SRSS). All variables were incorporated into machine learning models to develop predictive algorithms.</p><p><strong>Results: </strong>This study included 676 eligible participants with HIV in the cohort. The Gaussian Process (GP) model demonstrated the highest testing AUC of 0.811 and 0.815 in the training dataset. The GP model excels in metrics such as accuracy, AUC, recall, precision, F1 score, Kappa, MCC, Log Loss, and Brier score. In the decision curve analysis (DCA), the five machine learning models exhibited similar net benefits over a broad range of threshold probabilities (ranging from 0.2 to 0.8) compared to the Random Forest (RF) model. The GP and the MLP showed enhanced net benefits at intermediate to high threshold probabilities (30 ~ 60%). The SHAP technique identified the top four predictors of QoL, ranked by importance, with symptom burden being highlighted as the most critical predictor variable.</p><p><strong>Conclusions: </strong>The machine-learning model, predominantly a GP model, demonstrated the better predictive performance among the six models evaluated, for detecting the QoL predictor in PLWH, indicating that symptom burden influences QoL level. Our findings highlight a non-linear relationship between ART duration and QoL, with diminished well-being during mid-treatment (6 ~ 10 years) linked to treatment fatigue and cumulative toxicities, emphasizing the necessity of dynamic psychosocial support and tailored interventions to sustain long-term QoL in HIV care.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"23 1","pages":"68"},"PeriodicalIF":3.2,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12228405/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144564671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods.","authors":"Longlin Jiang, Kexun Li, Simiao Lu, Zhou Hong, Yifang Wang, Qin Xie, Qin He, Sirui Wei, Aoru Zhou, Hong Kang, Xuefeng Leng, Qing Yang, Yan Miao","doi":"10.1186/s12955-025-02394-8","DOIUrl":"10.1186/s12955-025-02394-8","url":null,"abstract":"<p><strong>Background: </strong>Preference-based measures of health-related quality of life (HRQoL), such as the Short Form Six-Dimension (SF-6D) is essential for health economic evaluations. However, these measures are rarely included in clinical trials for lung cancer. This study aims to develop mapping algorithms to predict SF-6D health utility scores from the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core (EORTC QLQ-C30) and Quality of Life Questionnaire-Lung Cancer 13 (QLQ-LC13).</p><p><strong>Method: </strong>The study sample comprised a Chinese population with lung cancer (n = 625). Traditional regression techniques, including Ordinary Least Squares regression, Generalized Linear Model, as well as machine learning techniques, such as Gradient Boosting Tree, Support Vector Regression, Ridge Regression are used. Five-fold cross-validation was performed. The performance metrics used to evaluate the models including R², root mean square error (RMSE),mean absolute error (MAE) and mean absolute percentage error (MAPE) were used to screen the optimal model.</p><p><strong>Results: </strong>The mean and median of SF-6D health utility values were 0.774 (SD = 0.154) and 7.795, respectively. The model with the best mapping performance was the Ridge regression model Five-fold cross-validation (CV) results show that the Ridge regression model has the best mapping performance, the final prediction indexes are R² = 0.753, RMSE = 0.074, MAE = 0.057, MAPE = 8.169%.</p><p><strong>Conclusions: </strong>This study developed an optimized mapping algorithm to predict the utility index from the QLQ-C30 QLQ-LC13 to the SF-6D. This algorithm offers provides an effective alternative for estimating SF-6D estimation when the preference-based health utility values are unavailable.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"23 1","pages":"66"},"PeriodicalIF":3.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12220268/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144539974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Findings from a roundtable discussion with Pakistani stakeholders on measuring and valuing health and health-related quality of life for children and adolescents.","authors":"Madeeha Malik, Azhar Hussain, Fredrick Dermawan Purba, Ning Yan Gu","doi":"10.1186/s12955-025-02397-5","DOIUrl":"10.1186/s12955-025-02397-5","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Children and adolescents represent a distinct population with specific healthcare needs, requiring appropriate consideration in health-related quality of life (HRQoL) measurements and economic evaluations. In Pakistan, the absence of local value sets for children and adolescent health states and the limited application of health technology assessment (HTA) pose challenges to informed equitable decision-making and resource allocation. Valuing children and adolescents' health involves methodological and ethical complexities, particularly in determining whose preferences should be considered and how trade-offs between length and quality of life should be addressed. This study aimed to explore the views of key national stakeholders on these valuation issues to inform the development of a localized EQ-5D-Y-3 L value set for Pakistan.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A total of 12 stakeholders were identified via the investigators' network from different cities in Pakistan and diverse backgrounds. An in-person 3.5-hour meeting was held in Islamabad to discuss a range of topics including (a) the need for a Pakistani value set for the EQ-5D-Y-3 L, (b) willingness to pay more for quality-adjusted life-year (QALY) gains for children versus adults, (c) source of health preferences (adults vs. children), (d) potential ethical concerns and, (e) other challenges in a youth valuation to obtain deeper insights for understanding of the health valuation. The session was recorded, transcribed, and summarized.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Stakeholders confirmed that QALYs have not yet been widely used in Pakistan's healthcare system, although HRQoL instruments like EQ-5D-3 L and EQ-5D-5 L are increasingly applied by researchers for evidence generation. Stakeholders agreed that adolescents aged 11 and above can complete valuation tasks and should be involved in data collection. Moreover, 33% of stakeholders (4 out of 12) specifically recommended using adult preferences initially due to budgetary and technical constraints, while 66% (8 out of 12) did not explicitly oppose using adult preferences initially, they emphasized the importance of involving adolescents in the process either concurrently or in subsequent phases. Participants acknowledged that societal willingness to pay more per QALY for children varied, with some viewing it as a strategic investment. Ethical concerns about life-year trade-offs for children were not seen as major barriers in the local context. Parents or caregivers were deemed the most appropriate proxy respondents when self-reporting was not possible. Challenges identified included limited awareness of QALYs among policymakers, scarce local utility data, technical capacity gaps, and constrained health budgets.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;Pakistani stakeholders encouraged the use of health valuation data such as the EQ-5D-Y-3 L measures in decision-making and provided useful perspectives to youth valuat","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"23 1","pages":"65"},"PeriodicalIF":3.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12210699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144539973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quality of life and patient reported outcomes in the UK Mammo-50 randomised trial of annual versus less frequent mammographic surveillance in people with breast cancer aged 50 years and over.","authors":"Andrea Marshall, Peter Donnelly, Nada Elbeltagi, Sophie Gasson, Amy Broadfield, Amy Hopkins, Sue Hartup, Lesley Turner, Annie Young, Eila K Watson, Janet A Dunn","doi":"10.1186/s12955-025-02396-6","DOIUrl":"10.1186/s12955-025-02396-6","url":null,"abstract":"","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"23 1","pages":"67"},"PeriodicalIF":3.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12220118/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144539975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of physical symptoms on depression and quality of life in patients with lung cancer: the moderating effects of illness perceptions and gender.","authors":"Jinhuan Yang, Danni Dong, Gan He, Zhenghao Ge, Zhonglin Chen, Chenyan Han, Yi Zhao, Yaping He, Qiao Chu","doi":"10.1186/s12955-025-02395-7","DOIUrl":"10.1186/s12955-025-02395-7","url":null,"abstract":"<p><strong>Background: </strong>Physical symptoms negatively affect lung cancer patients' emotional well-being and quality of life. It remains understudied about what psychosocial factors may buffer the negative impact of physical symptoms. This study examines how illness perceptions moderate the impact of physical symptoms on depression and quality of life, and further considers gender differences.</p><p><strong>Methods: </strong>A cross-sectional study was conducted on 316 lung cancer patients from Shanghai Chest Hospital in Shanghai, China, between July and September 2021. Participants completed questionnaires assessing physical symptoms, depression, quality of life, and illness perceptions.</p><p><strong>Results: </strong>Hierarchical regression analyses revealed significant two-way interactions between physical symptoms and illness timeline perceptions on both depression (β = 0.12, P = 0.028) and quality of life (β = -0.13, P = 0.010). Additionally, significant three-way interactions involving physical symptoms, illness perceptions, and gender were found. Specifically, illness consequences perceptions interacted with physical symptoms and gender to predict depression (β = 0.17, P = 0.012), while personal control (β = 0.14, P = 0.022) and treatment control (β = 0.17, P = 0.017) interacted similarly to predict quality of life. Simple slope analyses indicated that positive illness perceptions alleviated the negative effects of physical symptoms on depression and quality of life, particularly in females.</p><p><strong>Conclusions: </strong>These findings indicate that facilitating positive illness perceptions may buffer the adverse effects of physical symptoms on depression and quality of life. Personalized psychological interventions aimed at enhancing patients' illness beliefs through positive psychological and behavioral strategies may contribute to improved coping and overall well-being.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"23 1","pages":"64"},"PeriodicalIF":3.2,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12186414/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144474976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}