Background: Children are at risk for psychosocial and adaptive morbidities following diagnosis of and treatment for a pediatric brain tumor. This study examined whether familial/demographic, developmental, diagnostic, or treatment-related variables best predict the acute psychosocial adjustment and adaptive functioning of children soon after an initial diagnosis.
Procedure: Participants included 56 children (mean age = 10.72, SD = 4.02) newly diagnosed with a pediatric brain tumor. Parents completed background/demographic forms and completed ratings of children's behavioral and emotional symptoms, and adaptive behavior. Diagnostic and treatment-related information was abstracted from medical records.
Results: Parent ratings of behavioral symptoms and adaptive functioning were within normative expectation, although rates of clinical impairment in adaptive functioning exceeded expected rates. A combination of familial/demographic and diagnostic variables were associated with acute functioning. In multiple regressions, tumor size best predicted adaptive functioning after initial diagnosis, whereas tumor location best predicted variance in behavioral symptoms.
Conclusions: Children may be more vulnerable to acute impairment in adaptive functioning following diagnosis of a pediatric brain tumor, but rates of behavioral symptoms were within expectation. Familial, sociodemographic, and diagnostic variables may help to identify those most at risk of impairment. Screening of these factors within tertiary care settings will be useful to identify those most in need of psychosocial care during the initial phases of treatment.
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http://dx.doi.org/10.1002/pbc.25323 | DOI Listing |
FASEB J
January 2025
Department of Medicine, Hematology and Oncology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
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Department of Plant Sciences, University of the Free State, Bloemfontein, South Africa.
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January 2025
Microbiology Laboratory, Department of Botany (DST-FIST and UGC-DRS Funded), Institute of Science, Visva-Bharati (A Central University), Santiniketan, West Bengal, 731235, India.
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Department of Frontier Science for Advanced Environment, Graduate School of Environmental Studies, Tohoku University, Sendai, Japan.
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Environmental Microbiology Group, Institute of Water Research, University of Granada, 18003, Granada, Spain.
Microbial fuel cell (MFC) technology has received increased interest as a suitable approach for treating wastewater while producing electricity. However, there remains a lack of studies investigating the impact of inoculum type and hydraulic retention time (HRT) on the efficiency of MFCs in treating industrial saline wastewater. The effect of three different inocula (activated sludge from a fish-canning industry and two domestic wastewater treatment plants, WWTPs) on electrochemical and physicochemical parameters and the anodic microbiome of a two-chambered continuous-flow MFC was studied.
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