Could negative behaviors by patients with dementia be positive communication? Seeking ways to understand and interpret their nonverbal communication.
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ABSTRACT:
SUBMITTER: Tzeng HM
PROVIDER: S-EPMC9299486 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The current research tested whether differences in teachers' nonverbal behaviors influence children's intergroup attitudes and stereotypic beliefs. In this study, 5- to 8-year-old participants (N?=?96) were assigned to novel groups (marked by T-shirt color) and then viewed interactions between teachers and pairs of students who were also members of the novel groups. Across four interactions, the teacher directed positive nonverbal behaviors toward students from one group and directed negative nonverbal behaviors toward students from another group. After viewing the interactions, participants were presented with pairs of new students from the two novel groups and were asked three types of test questions. When participants were asked who was smarter, they selected new students from the group that had received positive nonverbal behaviors regardless of their own group membership. However, when asked who they would like to befriend, only participants who were assigned to the group that received positive behaviors selected ingroup members. On trials where participants were asked to select a partner on an academic task, participants' selections did not differ from chance. This study shows that teachers' nonverbal behaviors may be one source of children's academic stereotypes, including negative stereotypes about groups to which they belong. Moreover, these findings highlight the importance of subtle social cues in guiding children's beliefs about social groups.
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Project description:Nonverbal communication is an important factor in human communication, and body movement synchronization in particular is an important part of nonverbal communication. Some researchers have analyzed body movement synchronization by focusing on changes in the amplitude of body movements. However, the definition of "body movement synchronization" is still unclear. From a theoretical viewpoint, phase difference is the most important factor in synchronization analysis. Therefore, there is a need to measure the synchronization of body movements using phase difference. The purpose of this study was to provide a quantitative definition of the phase difference distribution for detecting body movement synchronization in human communication. The phase difference distribution was characterized using four statistical measurements: density, mean phase difference, standard deviation (SD) and kurtosis. To confirm the effectiveness of our definition, we applied it to human communication in which the roles of speaker and listener were defined. Specifically, we examined the difference in the phase difference distribution between two different communication situations: face-to-face communication with visual interaction and remote communication with unidirectional visual perception. Participant pairs performed a task supposing lecture in the face-to-face communication condition and in the remote communication condition via television. Throughout the lecture task, we extracted a set of phase differences from the time-series data of the acceleration norm of head nodding motions between two participants. Statistical analyses of the phase difference distribution revealed the characteristics of head nodding synchronization. Although the mean phase differences in synchronized head nods did not differ significantly between the conditions, there were significant differences in the densities, the SDs and the kurtoses of the phase difference distributions of synchronized head nods. These results show the difference in nonverbal synchronization between different communication types. Our study indicates that the phase difference distribution is useful in detecting nonverbal synchronization in various human communication situations.
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Project description:ContextPersons with Alzheimer's disease and other dementias experience behavioral symptoms that frequently result in nursing home (NH) placement. Managing behavioral symptoms in the NH increases staff time required to complete care, and adds to staff stress and turnover, with estimated cost increases of 30%. The Changing Talk to Reduce Resistivenes to Dementia Care (CHAT) study found that an intervention that improved staff communication by reducing elderspeak led to reduced behavioral symptoms of dementia or resistiveness to care (RTC).ObjectiveThis analysis evaluates the cost-effectiveness of the CHAT intervention to reduce elderspeak communication by staff and RTC behaviors of NH residents with dementia.DesignCosts to provide the intervention were determined in eleven NHs that participated in the CHAT study during 2011-2013 using process-based costing. Each NH provided data on staff wages for the quarter before and for two quarters after the CHAT intervention. An incremental cost-effectiveness analysis was completed.AnalysisAn average cost per participant was calculated based on the number and type of staff attending the CHAT training, plus materials and interventionist time. Regression estimates from the parent study then were applied to determine costs per unit reduction in staff elderspeak communication and resident RTC.ResultsA one percentage point reduction in elderspeak costs $6.75 per staff member with average baseline elderspeak usage. Assuming that each staff cares for 2 residents with RTC, a one percentage point reduction in RTC costs $4.31 per resident using average baseline RTC.ConclusionsCosts to reduce elderspeak and RTC depend on baseline levels of elderspeak and RTC, as well as the number of staff participating in CHAT training and numbers of residents with dementia-related behaviors. Overall, the 3-session CHAT training program is a cost-effective intervention for reducing RTC behaviors in dementia care.
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