Care model selection for older adult stroke survivors with disabilities: insights from the eighth wave of CLHLS data and influencing factors.

Background: Analyzing the differences in caregiving models for disabled older adult individuals after stroke and the influencing factors, to provide a basis for addressing relevant social demographic issues. Methods: The older adult diagnosed with stroke were screened from the Chinese Geriatric Health Survey (CLHLS), and were further divided into subgroups of disability, which was based on their ability of or whether they need help in performing activities such as dressing, bathing, eating, toileting or bowel and bladder control using the international common Katz scale. The care model was divided into formal care, informal care and home care. Multivariate logistic regression was used to screen the influencing factors of the choice of care model for the disabled older adult after stroke. Results: The results of univariate analysis showed that there were statistical differences in the choice of care mode among different ages, household registration types, number of children, years of education, degree of disability, community services, retirement pension, marital status and medical insurance. Multiple logistic regression showed that, The rural older adult with more children, shorter education years, living with spouse and no help from community tend to choose informal care. Older adult people with higher levels of education, urban household registration, and access to community services are more likely to choose formal care. Older adult women with multiple children are more likely to receive care from their children. Conclusion: In the future, vigorous support for the development of formal caregiving institutions and the improvement of the management system of formal caregiving will help enhance the subjective initiative of disabled older adult individuals in choosing caregiving models and alleviate the burden of family caregiving.

Gender differences in the functional language networks at birth: a resting-state fNIRS study.

Numerous studies reported inconsistent results concerning gender influences on the functional organization of the brain for language in children and adults. However, data for the gender differences in the functional language networks at birth are sparse. Therefore, we investigated gender differences in resting-state functional connectivity in the language-related brain regions in newborns using functional near-infrared spectroscopy. The results revealed that female newborns demonstrated significantly stronger functional connectivities between the superior temporal gyri and middle temporal gyri, the superior temporal gyri and the Broca's area in the right hemisphere, as well as between the right superior temporal gyri and left Broca's area. Nevertheless, statistical analysis failed to reveal functional lateralization of the language-related brain areas in resting state in both groups. Together, these results suggest that the onset of language system might start earlier in females, because stronger functional connectivities in the right brain in female neonates were probably shaped by the processing of prosodic information, which mainly constitutes newborns' first experiences of speech in the womb. More exposure to segmental information after birth may lead to strengthened functional connectivities in the language system in both groups, resulting in a stronger leftward lateralization in males and a more balanced or leftward dominance in females.

The effect of music therapy on language communication and social skills in children with autism spectrum disorder: a systematic review and meta-analysis.

Background: Studies have shown that music therapy can be used as a therapeutic aid for clinical disorders. To evaluate the effects of music therapy (MT) on language communication and social skills in children with autism spectrum disorder (ASD), a meta-analysis was performed on eligible studies in this field. Methods: A systematic search was conducted in eight databases: PubMed, Embase, Web of Science, Cochrane Library databases, the China National Knowledge Infrastructure (CNKI), Wanfang Data, the Chinese Biomedical Literature (CBM) Database, and the VIP Chinese Science and Technology Periodicals Database. The standard mean difference (SMD) values were used to evaluate outcomes, and the pooled proportions and SMD with their 95% confidence intervals (CIs) were also calculated. Results: Eighteen randomized controlled trial (RCT) studies were included, with a total of 1,457 children with ASD. This meta-analysis revealed that music therapy improved their language communication [SMD = -1.20; 95%CI -1.45, -0.94; χ2 (17) = 84.17, I2 = 80%, p < 0.001] and social skills [SMD = -1. 13; 95%CI -1.49, -0.78; χ2 (17) = 162.53, I2 = 90%, p < 0.001]. In addition, behavior [SMD = -1.92; 94%CI -2.56, -1.28; χ2 (13) = 235.08, I2 = 95%, p < 0.001], sensory perception [SMD = -1.62; 95%CI -2.17, -1.08; χ2 (16) = 303.80, I2 = 95%, p < 0.001], self-help [SMD = -2. 14; 95%CI -3.17, -1.10; χ2 (6) = 173.07, I2 = 97%, p < 0.001] were all improved. Conclusion: Music therapy has a positive effect on the improvement of symptoms in children with ASD. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/.

Assessing mental demand in consecutive interpreting: Insights from an fNIRS study.

Consecutive interpreting involves a demanding language task where mental workload (MWL) is crucial for assessing interpreters' performance. An elevated cognitive load in interpreters may lead to the interpretation failures. The widely used NASA-TLX questionnaire effectively measures MWL. However, a global score was employed in previous interpretation studies, overlooking the distinct contributions of MWL components to the interpreters' performance. Accordingly, we recruited twenty novice interpreters who were postgraduate students specializing in interpreting to complete the consecutive interpreting task. Throughout the process, we used functional near-infrared spectroscopy (fNIRS) to monitor the hemodynamic response in participants' brains. The NASA-TLX was used to measure the MWL during interpreting with six components, including mental demand, physical demand, temporal demand, performance, effort, and frustration. Five interpretation experts were invited to assess the interpretation quality. The Bayes factor approach was employed to explore the components that contributes the most to the interpretation quality. It indicated that mental demand strongly contributed to the interpretation quality. Moreover, the mediation analysis revealed a positive correlation between mental demand and brain activation in three brain areas, which, in turn, was negatively correlated with interpretation quality, indicating the predictive role of mental demand in interpretation quality through the mediating of brain activation. The functions of the mediating brain areas, including the inferior frontal gyrus, middle temporal gyrus, and inferior temporal gyrus, aligned with the three efforts proposed by Gile's effort model, which emphasizes the significance of three fundamental efforts in achieving successful interpreting. These findings have implications for interpreter learning and training.