Background: Parents of children with cancer are predisposed to psychological distress symptoms, such as anxiety, depression, and uncertainty. This vulnerability may exacerbate underlying mood disturbances, including trait anxiety and depression, and influence parents' perception of health-related quality of life (HRQOL) in their children.
Objectives: This study examined the relationship between parental uncertainty and parent proxy reports of HRQOL in newly diagnosed children with cancer.
Methods: A longitudinal descriptive approach was used to examine the relationship between parental uncertainty and parent proxy reports of HRQOL in 55 parent-child dyads. Parental trait anxiety, depression, and perceived social support were evaluated as potential predictor variables.
Findings: Parents of newly diagnosed children with cancer reported lower parent proxy HRQOL scores. Parental uncertainty was prevalent and affected parents' perceptions of HRQOL three months following diagnosis; however, higher social support scores buffered these negative effects.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1188/19.CJON.609-618 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Understanding Mental Health Impact of COVID-19 on Puerto Rican Youth: Influence of Parental Stress.
Int J Environ Res Public Health
November 2024
PhD Program in Clinical Psychology, San Juan Campus, Albizu University, San Juan, PR 00901, USA.
The COVID-19 pandemic disrupted all areas of society. The socioemotional effects of isolation, financial instability, and educational and employment uncertainty are anticipated to have a ripple effect on the mental health of parents and children, which has not yet been studied in the Puerto Rican context. To examine the impact of COVID-19 on Puerto Rican families, we used a cross-sectional, correlational research design that studied the following: (a) Adverse experiences (AE) related to the COVID-19 pandemic reported by parents; (b) Parental stress; (c) Parental psychopathology: (d) The mental health of their children.
View Article and Find Full Text PDFObjectives: The ETER701 trial demonstrated that benmelstobart combined with anlotinib and etoposide-carboplatin (EC) significantly extends survival in patients with extensive-stage small cell lung cancer (ES-SCLC), setting a new record for median overall survival. In contrast, anlotinib plus EC only significantly prolongs progression-free survival. However, there is currently no evidence evaluating the cost-effectiveness of these regimens as first-line treatments.
View Article and Find Full Text PDFIntroduction: Paediatric emergency department (ED) attendances and admissions in England are increasing. Fever is a common presenting problem for these attendances. Anxiety and misperceptions surrounding appropriate management of fever persist among parents.
View Article and Find Full Text PDFInfluences of maternal reflective functioning on adolescents' psychosocial adjustment: The mediating role of adolescent's reflective functioning.
PLoS One
December 2024
Department of Educational Psychology, Seoul Women's University, Seoul, Republic of Korea.
This study examines the relationship between maternal reflective functioning and adolescents' reflective functioning and psychosocial adjustment. In Study 1, The Parental Reflective Functioning Questionnaire for Adolescents (PRFQ-A) and Reflective Functioning Questionnaire for Youth (RFQ-Y), multidimensional scales used to assess reflective functioning in parents and adolescents, respectively, were validated in groups of Korean adolescents and mothers. In the results, the three factors were extracted (non-mentalizing, certainty, interest/curiosity) that were similar to those from the original version of the scale.
View Article and Find Full Text PDFMaterial flow analysis (MFA) is used to quantify and understand the life cycles of materials from production to end of use, which enables environmental, social, and economic impacts and interventions. MFA is challenging as available data are often limited and uncertain, leading to an under-determined system with an infinite number of possible stocks and flows values. Bayesian statistics is an effective way to address these challenges by principally incorporating domain knowledge, quantifying uncertainty in the data, and providing probabilities associated with model solutions.
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!