Purpose: This study aimed to establish the reliability, validity, and sensitivity of the Cardiovascular Limitations and Symptoms Profile (CLASP) in a group of patients with chronic stable angina.
Methods: After 226 patients with angina had been recruited, they were randomly allocated to one of three groups: a 10-week hospital-based angina management program (n = 75; men = 56; age = 60 +/- 8 years), routine care (n = 74; men = 52; age = 61 +/- 7 years), and exercise therapy (n = 77; men = 60; age = 60 +/- 7 years). All the patients were assessed with CLASP on two occasions: at baseline and at 10 weeks. The Sickness Impact Profile (SIP), the Hospital Anxiety and Depression Scale (HADS), and the Sleep Problems Questionnaire (SPQ) also were administered at the same time.
Results: Significant positive correlations between the actual number of angina episodes and the CLASP angina subscale scores (r =.60, P <.001) were observed. The CLASP subscale scores for shortness of breath (r = -.36; P <.001) and ankle swelling (r = -.24; P <.001) were significantly correlated with the total treadmill time. The CLASP tiredness subscale score showed a significant positive correlation with the SPQ score (r =.48; P <.001). The CLASP subscale scores were significantly correlated with their corresponding SIP subscale scores: the tiredness score with the sleep and rest score (r =.49; P <.001), the social and leisure score with the recreation and pastimes score (r =.41; P <.001), the home score with the home management score (r =.45; P <.001), and the mobility score with the mobility (r =.37; P <.001) and total treadmill time scores (r = -.49; P <.001).
Conclusions: The findings show CLASP to be a reliable, valid, sensitive measure of health-related quality of life in patients with chronic stable angina. Before it can be recommended for all patients with heart disorders, similar data will be required from other diagnostic groups such as patients with heart failure or those who have sustained an acute myocardial infarction.
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http://dx.doi.org/10.1097/00008483-200205000-00010 | DOI Listing |
Brain Struct Funct
January 2025
Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, 100124, China.
The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.
View Article and Find Full Text PDFJ Bone Miner Metab
January 2025
Deakin University, IMPACT- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
Introduction: Impact microindentation (IMI) measures bone material strength index (BMSi) in vivo. However, its ability to predict fractures is still uncertain. This study aimed to determine the association between BMSi and 10 year fracture probability, as calculated by the FRAX algorithm.
View Article and Find Full Text PDFMult Scler
January 2025
Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN, USA.
Background: Spinal cord (SC) atrophy is a key imaging biomarker of progressive multiple sclerosis (MS). Progressive MS is more common in men and postmenopausal women.
Objective: Investigate the impact of sex and menopause on SC measurements in persons with MS (pwMS).
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn
January 2025
Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Greater neighborhood disadvantage is associated with poorer global cognition. However, less is known about the variation in the magnitude of neighborhood effects across individual cognitive domains and whether the strength of these associations differs by individual-level factors. The current study investigated these questions in a community sample of older adults ( = 166, mean age = 72.
View Article and Find Full Text PDFJ Diabetes Investig
January 2025
Department of Endocrinology, Peking University First Hospital, Beijing, China.
Objective: Our study aimed to evaluate the effectiveness of a 3-months digital therapy (DTx) intervention in the real world for the management of blood glucose in 3,902 Chinese patients with type 2 diabetes (T2D) in Lingshui, Hainan.
Methods: Adults with T2D who were capable of using DTx application (app) were enrolled. Fasting blood glucose (FBG), 2-h postprandial blood glucose (2hPBG), and body weight before and after the intervention were collected.
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