Background: Among Left Ventricular Assist Device (LVAD) implanted patients, body image modifications might occur.
Objectives: To explore the associations between sexual functioning, confidence in LVAD technology, personal wellbeing, and body image.
Methods: The cross-sectional study included 30 conveniently recruited LVAD implanted patients who completed Body Image Scale, sexual functioning, confidence in LVAD technology, and Personal Wellbeing Index questionnaires. The associations between the research variables were examined with multiple regression analyses.
Results: The mean age of the participants was 63 (SD=10), 90% were men. The mean scores were: sexual functioning - 2.43 (SD=1.20, range 1-5); confidence in LVAD technology - 2.63 (SD=1.04, range 1-5); Well-Being Index - 6.61 (SD=1.53, range 0-10); and body image - 14.5 (SD=4.17, range 5-20). Sexual functioning (p<.01) and LVAD technology confidence (p=.04) significantly predicted body image.
Conclusions: Healthcare professionals should be aware of challenges regarding body image faced by LVAD implanted patients and to address related factors.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.hrtlng.2020.08.022 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluation of an image-rich quiz-based iOS app as a study resource for the ABR Core exam.
Curr Probl Diagn Radiol
January 2025
The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address:
The American Board of Radiology Core exam requires that trainees demonstrate knowledge of critical concepts across 12 domains spanning a range of imaging modalities and anatomic regions. Mobile apps have become popular components of medical and radiology education since the inception of smartphones. Numerous medical educational apps are accessible via smartphone devices and tablets, regardless of operating system, for medical training and learning purposes.
View Article and Find Full Text PDFOct4, Sox2, Klf4, c-My (OSKM) gene therapy in the hypothalamus prolongs fertility and ovulation in female rats.
Aging (Albany NY)
January 2025
School of Medicine, National University of La Plata (UNLP), La Plata, Argentina.
In middle-aged (MA) female rats, we have demonstrated that intrahypothalamic gene therapy for insulin-like growth factor-I (IGF-I) extends the regular cyclicity of the animals beyond 10 months (the age at which MA rats stop ovulating). Here, we implemented long-term OSKM gene therapy in the hypothalamus of young female rats. The main goal was to extend fertility in the treated animals.
View Article and Find Full Text PDFBody image and sexuality both pertain to the body. Positive experiences in one domain are generally associated with positive experiences in the other. Yet, less is known about body image among postpartum women specifically.
View Article and Find Full Text PDFA geometric morphometric approach for detecting different reproductive stages of a free-ranging killer whale Orcinus orca population.
Sci Rep
January 2025
Whales Initiative, Ocean Wise Conservation Association, Vancouver, BC, Canada.
The expansion of drone-based aerial imagery has facilitated an increase in data obtained from free-ranging marine mammal populations, in particular cetacean species. This non-invasive approach allows for body condition assessments, including nutritional and reproductive health. Yet, existing methods of image analysis are time-consuming and lack the granularity to determine early-stage pregnancies and miscarriage rates.
View Article and Find Full Text PDFAn annotated heterogeneous ultrasound database.
Sci Data
January 2025
School of Medicine, Anhui University of Science and Technology, Huainan, 232001, China.
Ultrasound is a primary diagnostic tool commonly used to evaluate internal body structures, including organs, blood vessels, the musculoskeletal system, and fetal development. Due to challenges such as operator dependence, noise, limited field of view, difficulty in imaging through bone and air, and variability across different systems, diagnosing abnormalities in ultrasound images is particularly challenging for less experienced clinicians. The development of artificial intelligence (AI) technology could assist in the diagnosis of ultrasound images.
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!