Introduction: Parents of children with neuromuscular diseases experience multiple difficulties in their daily lives that affect their physical and psychological health. The risk factors for these health issues have not been sufficiently investigated. Therefore, the aim of this study was to analyze the potential predictors of overload in these parents, including QoL, somatic symptomatology, life satisfaction, psychological adjustment and certain sociodemographic variables.
Methods: A cross-sectional research study was conducted among parents who are caregivers for children with NMD in Spain. A convenience sample of 110 parents who were contacted by associations and hospitals was used. Variables were evaluated using the sociodemographic questionnaire, CarerQol-7D, PHQ-15, Barthel Index, Psychological Adaptation Scale, Zarit Overload Scale and Satisfaction with Life Scale.
Results: One of the most relevant findings of the present study is the identification of 3 overload groups (mild to moderate, moderate to severe, and severe overload) based on life satisfaction and somatic symptom scores within the predictive model of the discriminate analysis. Wilk's lambda of the discriminant function was 0.568, χ (2, = 55) = 8.815, < 0.001.
Discussion: This study presents a model that reveals the influence of unemployment, having a child with a severe level of dependency, the presence of somatic symptomatology and life satisfaction on caregiver overload. Likewise, the caregiver's self-esteem could be a protective factor against overload.
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http://dx.doi.org/10.3389/fneur.2024.1349501 | DOI Listing |
Alzheimers Dement
December 2024
University of Virginia, Charlottesville, VA, USA.
Background: Prior research on factors associated with sleep problems among care partners (CPs) of persons with cognitive decline (PwCD) are often limited by imprecise (i.e., single yes/no questions) measures of insomnia, burden, and CP mental health.
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Nursing Institute "Professor Radivoje Radić", Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia.
Background/objectives: Numerous studies have examined nursing students' academic dishonesty; however, there is still a gap in understanding the predictors of such behavior. This study aimed to identify personal (intrapersonal and interpersonal) and contextual factors predicting nursing students' dishonesty during clinical training.
Methods: A two-phase, prospective, predictive study was conducted at a nursing faculty in Croatia.
Introduction The pediatric intensive care unit (PICU) is a specialized area for treating critically ill infants and children. However, some of these children may experience poor outcomes, including death. However, it is necessary to predict the prognosis for critically ill patients as early as possible to commence triage as well as an early and effective intervention to prevent mortality.
View Article and Find Full Text PDFPharmacotherapy
January 2025
Department of Clinical and Administrative Pharmacy, University of Georgia College of Pharmacy, Athens, Georgia, USA.
Background: Fluid overload (FO) in the intensive care unit (ICU) is common, serious, and may be preventable. Intravenous medications (including administered volume) are a primary cause for FO but are challenging to evaluate as a FO predictor given the high frequency and time-dependency of their use and other factors affecting FO. We sought to employ unsupervised machine learning methods to uncover medication administration patterns correlating with FO.
View Article and Find Full Text PDFMymensingh Med J
January 2025
Dr Khaza Amirul Islam, Medical Officer (Haematology), Shaheed Ziaur Rahman Medical College Hospital, Bogra, Bangladesh; E-mail:
Transfusion dependent thalassemia (TDT) patients require a regular blood transfusion to survive. Without adequate transfusion support, they suffer many complications, and have a short life span. Near about 200 milligrams of iron remains within a single Red cell concentrate (RCC) unit.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!