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This study aimed to examine the relationships between sleep quality, body image dissatisfaction, and impulsiveness in adolescent girls with mild physical disabilities. This cross-sectional study included 186 adolescent girls with mild physical disabilities. Participants were recruited from rehabilitation centers and special schools. Impulsiveness was measured using the Barratt Impulsiveness Scale (BIS-11), sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI), and body image dissatisfaction was evaluated using the Body Shape Questionnaire (BSQ). Pearson correlation coefficients were calculated to examine the relationships between the variables. A linear regression analysis was performed to determine the predictive value of sleep quality and body image dissatisfaction on impulsiveness, using SPSS version 27. The mean score for impulsiveness was 55.28 (SD = 10.45), sleep quality was 12.67 (SD = 3.98), and body image dissatisfaction was 87.34 (SD = 15.29). Pearson correlation analysis showed significant positive correlations between impulsiveness and sleep quality (r = 0.45, p < .001), and between impulsiveness and body image dissatisfaction (r = 0.52, p < .001). The regression model indicated that both sleep quality (B = 0.92, p < .001) and body image dissatisfaction (B = 0.25, p < .001) significantly predicted impulsiveness, explaining 37% of the variance (R² = 0.37, F(2, 183) = 53.68, p < .001). Poor sleep quality and high body image dissatisfaction are significant predictors of impulsiveness in adolescent girls with mild physical disabilities. Interventions aimed at improving sleep quality and promoting positive body image may help reduce impulsiveness and enhance overall well-being in this population.

This study aimed to explore the emotional and cognitive effects of long-term antipsychotic medication use. By understanding these impacts, the study seeks to provide a comprehensive view of the lived experiences of individuals who have been on antipsychotic medications for extended periods, highlighting both the benefits and the potential challenges. A qualitative research design was employed using a phenomenological approach to capture in-depth personal experiences. A purposive sampling method recruited 26 participants who had been on antipsychotic medications for at least five years. Data were collected through semi-structured interviews, which were transcribed verbatim and analyzed using thematic analysis to identify common themes and patterns in the participants' experiences. The study achieved theoretical saturation, ensuring that no new themes emerged from the data. The analysis revealed four main themes: emotional impact, cognitive effects, daily functioning, and social interaction. Participants reported significant emotional blunting, including reduced pleasure and emotional responsiveness, alongside cognitive impairments such as memory deficits and diminished attention span. Challenges in daily functioning, such as difficulties in managing routine activities and occupational tasks, were prominent. Social interactions were also affected, with participants experiencing reduced social engagement, dependency on support networks, and stigma related to medication use. These findings are consistent with previous studies, underscoring the profound impact of long-term antipsychotic use on various aspects of life. Long-term use of antipsychotic medications, while essential for managing severe psychiatric conditions, is associated with significant emotional and cognitive side effects that impact patients' quality of life. Healthcare providers should be aware of these effects and engage in regular assessments and open communication with patients to address and mitigate these challenges. Personalized treatment approaches, psychoeducation, and support groups can enhance patients' well-being and treatment adherence.

The exploration of brain imaging in children with learning disabilities has significantly advanced our understanding of the neural underpinnings of these conditions. Through the application of various neuroimaging techniques, researchers have been able to identify structural and functional abnormalities in the brains of children with learning disabilities, providing insights that have important implications for diagnosis, intervention, and educational strategies. This letter aims to highlight key findings from recent studies on brain imaging in children with learning disabilities and discuss their potential impact on clinical and educational practices. Brain imaging studies have significantly enhanced our understanding of the neural basis of learning disabilities, revealing important structural and functional abnormalities that underlie these conditions. By identifying early biomarkers and neural correlates, neuroimaging can play a crucial role in the early diagnosis and targeted intervention of learning disabilities. Continued research in this field is essential to develop effective strategies that support children with learning disabilities and improve their academic and social outcomes.