Research and planning to improve the quality of life for elderly seems to be essential, as the population of this age group has shown an increasing trend. Any chronic disease including diabetes has an impact on lifestyle of the patient. The objective of this study was to compare the quality of life between two groups of elderly diabetic patients who were residence of home as well as nursing home. A descriptive-analytical random study was conducted during 2010-2011 on two groups of 93 elderly diabetic patients, who were living in Kahrizak nursing home of Tehran (Iran), and home residents as well by interview for their demographical information and one standard questionnaire provided by world health organization. SPSS 16 was employed for data analysis. Significant differences were found in physical, psychological and social domains between two groups (P<0.05). In physical and social domains the elderly diabetic patients of nursing home had a higher mean score but in psychological domain the result was in contrast. Regarding the difference between scores in two studied groups it is necessary to study the weak points of each group individually and try to resolve the problems.
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Hinyokika Kiyo
November 2024
The Department of Urology, Kitasato University School of Medicine.
We carefully reviewed and evaluated the efficacy of transurethral water vapor energy therapy (WAVE) with Rezumᵀᴹ system for treatment of benign prostatic hyperplasia. Between April and September 2023, 41 patients received WAVE under local anesthesia as day surgery at the outpatient department in our institution. The mean age as of operation was 78.
View Article and Find Full Text PDFEur J Med Res
December 2024
Department of Geriatric Respiratory and Critical Care, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Background: This study aimed to develop predictive models with robust generalization capabilities for assessing the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms.
Methods: Data were collected from two centers and categorized into development and validation cohorts. Using the development cohort, candidate variables were selected via the Recursive Feature Elimination (RFE) method.
Eur J Med Res
December 2024
Mianyang Central Hospital, Affiliated to School of Medicine, University of Electronic Science and Technology of China, Mianyang, China.
Background And Aim: Recent Mendelian randomization and meta analysis suggest a controversial causality between C3-epimer of 25 hydroxyvitamin D3 (C3-epi-D3) and type 2 diabetes mellitus (T2DM). The clinical evidence regarding the impact of C3-epi-D3 on the progression of T2DM is currently insufficient. This study aims to investigate whether C3-epi-D3 has any effect on metabolic disorders of T2DM patients.
View Article and Find Full Text PDFJ Orthop Surg Res
December 2024
Teaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, 87 Xiangya Road, Kaifu District, Changsha, Hunan Province, China.
Objectives: This study aims to identify predictors of knee osteoarthritis (KOA) risk in middle-aged population, construct and validate a nomogram for KOA in this demographic.
Methods: From June to December 2020, we conducted a cross-sectional survey on 5,527 middle-aged individuals from Changsha and Zhangjiajie cities in Hunan Province, selected using a stratified multi-stage random sampling method. Data collection involved a structured questionnaire encompassing general demographic, physical condition, and lifestyle behaviors dimensions.
BMC Ophthalmol
December 2024
Tianjin Eye Hospital, Tianjin Key Lab of Ophthalmology and Visual Science, Tianjin, 300020, China.
Aims/introduction: To investigate the related risk factors of retinopathy in young and middle-aged diabetic patients in order to improve the prognosis of patients.
Materials And Methods: Using clinical practice data from a cohort study at our two research centers, we developed a bivariate logistic regression model to investigate the frightening risk factors potentially for retinopathy in young and middle-aged patients with diabetes, including diabetes type, physical activity level, treatment-related characteristics and laboratory tests.
Results: A total of 453 patients with diabetes were investigated, 197 (43.
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