Background: Quality of life study has an important role in health care especially in chronic diseases, in clinical judgment and in medical resources supplying. Statistical tools like linear regression are widely used to assess the predictors of quality of life. But usually existed a lot of factor cause difficulty for fitting the models and predicting. In statistical method there are different methods of data reduction that recommended.
Methods: A cross-sectional study conducted on 119 breast cancer patients that admitted and treated in chemotherapy ward of Namazi hospital in Shiraz. QLQ-C30 questionnaire was used to assessment quality of life in these patients. Principal component analyzing and factor analyzing are tow statistical method of data reduction was used for reducing the number of predictors.
Results: The mean score for the global health status for breast cancer patients was 64.92 +/- 11.42. univariate Linear regression showed that only role function, social function and diarrhea were not significant. Principal component analyzing and factor analyzing, consider all of 14 factors to 7 component and 7 factors. According to adjusted R square model fitting with reducing predictors were better than model fitting with initial predictors.
Conclusion: when there are a lot of factors existed in a model, use different method of data reduction causing better and easier model fitting and predicting.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.4314/eajph.v6i3.45772 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting.
Cancer Imaging
January 2025
Melbourne Theranostic Innovation Centre, Level 8, 14-20 Blackwood St, North Melbourne, VIC, 3051, Australia.
True total-body and extended axial field-of-view (AFOV) PET/CT with 1m or more of body coverage are now commercially available and dramatically increase system sensitivity over conventional AFOV PET/CT. The Siemens Biograph Vision Quadra (Quadra), with an AFOV of 106cm, potentially allows use of significantly lower administered radiopharmaceuticals as well as reduced scan times. The aim of this study was to optimise acquisition protocols for routine clinical imaging with FDG on the Quadra the prioritisation of reduced activity given physical infrastructure constraints in our facility.
View Article and Find Full Text PDFλ-cyhalothrin induced sex-specific inflammation, glia activation and GABAergic interneuron disruption in the hippocampus of rats.
BMC Pharmacol Toxicol
January 2025
Department of Anatomy, College of Health Sciences, University of Ilorin, Ilorin, 240003, Nigeria.
Background: Glia mediated neuroinflammation and degeneration of inhibitory GABAergic interneurons are some of the hall marks of pyrethroid neurotoxicity. Here we investigated the sex specific responses of inflammatory cytokines, microglia, astrocyte and parvalbumin positive inhibitory GABAergic interneurons to λ-cyhalothrin (LCT) exposures in rats.
Methods: Equal numbers of male and female rats were given oral corn oil, 2 mg/kg.
Challenges and adaptations in pancreatic cancer surgery during the COVID-19 pandemic in a high-volume center.
BMC Cancer
January 2025
Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany.
Background: The COVID-19 pandemic affected healthcare systems worldwide, disrupting elective surgeries including those for cancer treatment. This study examines the effects of the pandemic on outcomes of pancreatic cancer surgeries at a specialized high-volume surgery center.
Materials And Methods: This study compared surgical volume and outcomes of pancreas resections between the pre-pandemic (January 2019 to February 2020), early pandemic (March 2020 to January 2021), and late pandemic (February 2021 to December 2021) periods.
scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder.
BMC Bioinformatics
January 2025
Department of Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Single-cell RNA sequencing (scRNA-seq) has transformed biological research by offering new insights into cellular heterogeneity, developmental processes, and disease mechanisms. As scRNA-seq technology advances, its role in modern biology has become increasingly vital. This study explores the application of deep learning to single-cell data clustering, with a particular focus on managing sparse, high-dimensional data.
View Article and Find Full Text PDFEvaluation of the Digital Ventilated Cage® system for circadian phenotyping.
Sci Rep
January 2025
Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Kavli Institute for Nanoscience Discovery, Nuffield Department of Clinical Neurosciences, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Parks Road, Oxford, OX1 3QU, UK.
The study of circadian rhythms has been critically dependent upon analysing mouse home cage activity, typically employing wheel running activity under different lighting conditions. Here we assess a novel method, the Digital Ventilated Cage (DVC, Tecniplast SpA, Italy), for circadian phenotyping. Based upon capacitive sensors mounted under black individually ventilated cages with inbuilt LED lighting, each cage becomes an independent light-controlled chamber.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!