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Objective:To investigate internalized and externalized behavioral problems in children with leukemia and to analyze the influencing factors.Methods:A total of 121 children match the inclusion and exclusion criteria with leukemia hospitalized in Hematology and Oncology Department of 3 hospitals in Zhengzhou city from November 2021 to March 2022 were recruited through a cluster sampling method.The general information questionnaire, Strengths and Difficulties Questionnaire (parent version), Psychological Adaptation Scale, Perceived Social Support Questionnaire and Zarit Burden Interview were used for investigation.Multiple linear regression was used to analyze the influencing factors of internalized and externalized behavioral problems in children with leukemia.Results:Among 121 children with leukemia, there were 72 males and 49 females, with the age of (7.16 ± 3.18) years.The total score of interna-lized and externalized behavioral problems in 121 children with leukemia was (6.12±3.13) points and (5.49±2.92) points, respectively.Multiple linear regression analysis showed that burden of care ( β=0.412, P<0.001), family support ( β=-0.242, P=0.003) and monthly household income per capita ( β=-0.167, P=0.036) were the influencing factors of internalized behavioral problems in children with leukemia.Burden of care ( β=0.360, P<0.001), social integration ( β=-0.223, P=0.008) and caregiver age ( β=-0.176, P=0.035) were the influencing factors of externalized behavioral problems in children with leukemia. Conclusions:Children with leukemia suffer severe internalized and externalized behavioral problems.Burden of care of the caregiver, family support and social integration are predictors of adverse emotional and behavioral problems in children.
ABSTRACT
ABSTRACTBackground:The stress associated with care of patients with dementia has led to high nursing staff turnover. This study aims to explore patient factors that are related to nursing burden. METHODS: The present study examined nursing care burden related to 55 institutionalized dementia patients using the Modified Nursing Care Assessment Scale (M-NCAS). Cognition was assessed with the Severe Impairment Battery (SIB), activities of daily living (ADLs) were measured with the Alzheimer's Disease Functional Assessment of Change Scale (ADFACS), aggression was measured with the Aggressive Behavior Scale (ABS), and the Charlson Comorbidity Index (CCI) was used to assess medical comorbidity. Finally, the Dementia Cognitive Fluctuation Scale (DCFS) was used to assess the presence and severity of cognitive fluctuations (CFs). Linear regression models were used to assess their relationships with nursing care burden. RESULTS: The mean age of the patients was 90.41 years (SD=2.84) and 89.10% were males. ADFACS total score (B = 0.36, ß = 0.42, p = 0.002) and ABS score (B = 2.933, ß = 0.37, p = 0.002) significantly predicted the M-NCAS Attitude score. ABS score was the only significant predictor of M-NCAS Strain score (B = 2.57, ß = 0.35, p = 0.009). CONCLUSIONS: In the long-term care setting, aggressive behavior plays an important role in both subjective and objective nursing burden, while impaired ADLs increase the objective burden for nursing staff.
