Objective: This study aimed to assess how baseline motivation to recover impacts eating disorder (ED) and comorbid symptoms at end-of-treatment (EOT) for adolescents and adults in inpatient/residential treatment.
Method: Two hundred and three adolescent (M = 15.90) and 395 adult (M = 25.45) patients with a Diagnostic Statistical Manual, 5th edition ED diagnosis completed the Decisional Balance Scale (DBS) at baseline, and psychosocial measures (ED symptoms, anxiety, depression, obsessive-compulsive disorder symptoms), and %body mass index (kg/m ; BMI) or median %BMI (for adolescents) at baseline and EOT.
Results: The DBS Avoidance Coping and Burdens subscales at baseline were significantly lower for adolescents than adults (p < 0.001), whereas the DBS Benefits subscale at baseline did not significantly differ between subsamples (p = 0.06). Motivation to recover via DBS subscales was a more reliable predictor of EOT outcomes for both ED and comorbid psychopathology in adults (significant predictor in 19 of 54 total analyses, and 4 significant associations post-Bonferroni correction) than adolescents (significant predictor in 5 of 54 total analyses, and 1 significant association post-Bonferroni correction).
Conclusions: Baseline motivation to recover may be an important predictor of outcome for adult patients in inpatient/residential treatment but does not appear associated with outcomes for adolescent patients.
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http://dx.doi.org/10.1002/erv.2828 | DOI Listing |
Intensive Crit Care Nurs
January 2025
Chelsea & Westminster Hospital NHS Foundation Trust, United Kingdom; Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, United Kingdom; Division of Anaesthesia, Pain Medicine and Intensive Care (APMIC), Surgery & Cancer, Imperial College London, United Kingdom; Faculty of Medicine, Imperial College London, United Kingdom. Electronic address:
Introduction And Objectives: Nil by mouth (NBM) is a frequent imposition for patients recovering from critical illness. Its impact on patients' wellbeing and rehabilitation is under researched. We sought ICU multidisciplinary opinion to primarily assess the relevance of taste deprivation on patient care and recovery, and to identify future opportunities for innovation and research.
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December 2024
Department of Chemistry, Faculty of Food Science and Biotechnology, University of Life Sciences in Lublin, 20-950 Lublin, Poland.
Recovering the relaxation spectrum, a fundamental rheological characteristic of polymers, from experiment data requires special identification methods since it is a difficult ill-posed inverse problem. Recently, a new approach relating the identification index directly with a completely unknown real relaxation spectrum has been proposed. The integral square error of the relaxation spectrum model was applied.
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December 2024
Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.
This paper presents the development of a robotic system for the rehabilitation and quality of life improvement of children with cerebral palsy (CP). The system consists of four modules and is based on a virtual humanoid robot that is meant to motivate and encourage children in their rehabilitation programs. The efficiency of the developed system was tested on two children with CP.
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Public Health Sciences Division, Fred Hutchinson Cancer Center.
Novel multiplexed spatial proteomics imaging platforms expose the spatial architecture of cells in the tumor microenvironment (TME). The diverse cell population in the TME, including its spatial context, has been shown to have important clinical implications, correlating with disease prognosis and treatment response. The accelerating implementation of spatial proteomic technologies motivates new statistical models to test if cell-level images associate with patient-level endpoints.
View Article and Find Full Text PDFMach Learn
October 2024
Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, 55455, MN, USA.
Data for several applications in diverse fields can be represented as multiple matrices that are linked across rows or columns. This is particularly common in molecular biomedical research, in which multiple molecular "omics" technologies may capture different feature sets (e.g.
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