Interpretation of non-verbal cues by people with and without TBI: understanding relationship intentions.

BACKGROUND: Although long-term social challenges following traumatic brain injury (TBI) are well documented, the challenges of establishing new relationships following TBI are less understood. AIMS: To examine how the type of non-verbal cues produced by an unfamiliar communication partner impacts feelings of relationship closeness by people with and without TBI. METHODS & PROCEDURES: In this quasi-experimental comparative mixed-group design, participants included 12 male heterosexual adults with moderate/severe TBI and 10 typical comparison peers. An adaptation of the Relationship Closeness Induction Task (RCIT), a 29-item questionnaire, was completed by all participants to induce relationship closeness through reciprocal self-disclosure during conversation. Participants completed the RCIT three separate times in counterbalanced order. Conversational partners for the RCIT were three female actors trained to convey similar verbal answers to the RCIT questions, but to produce different non-verbal cues: solicitation (i.e., flirting), neutral and rejecting. Following each conversation, the participants completed a 10-item Likert-type questionnaire about the experience. OUTCOMES & RESULTS: Between- and within-group non-parametric statistical analysis of Likert questions showed non-significant differences between the two participant groups such that both groups consistently rated the female actor who used flirting non-verbal cues higher than the actor who used rejecting non-verbal cues. CONCLUSIONS & IMPLICATIONS: These results suggest a small sample of heterosexual males with TBI interpret non-verbal relationship cues in real-time conversations with unfamiliar partners as well as comparison peers. Clinical implications include the need to consider real-time conversation in assessment and treatment planning for social communication goals related to cognitive-communication impairment.

Sleep duration and sleep quality in people with and without intellectual disability: A meta-analysis.

This study provides the first meta-analysis of the purported differences in sleep time and sleep quality between people with and without intellectual disabilities. Twenty-one papers were identified that compared sleep time and/or sleep quality in people with and without intellectual disabilities. The meta-analysis of sleep time revealed that people with an intellectual disability slept for 18 min less, on average, than people without an intellectual disability. This significant difference was limited to those studies that tested groups of people with an identified genetic syndrome or developmental disorder. The analysis of sleep quality also concluded that people with intellectual disabilities experienced poorer sleep: In 93% of comparisons between groups, sleep was found to be of poorer quality in the group of people with intellectual disabilities. There were no differences found between studies that measured sleep objectively and those that used diary or questionnaire measures. Notably, most samples were drawn from populations of people with specified genetic syndromes or developmental disorders, rather than intellectual disability of heterogeneous origin. Similarly, most studies investigated sleep in children, although there was no evidence that the differences between the groups reduced during adulthood. Most studies used highly-regarded objective measures of sleep, such as polysomnography or actigraphy, although methodological flaws were evident in the identification of samples and the measurement of intellectual disability.

Communication styles of persons with ALS as recounted by surviving partners.

The purpose of this study was to describe the communication patterns of individuals with Amyotrophic Lateral Sclerosis (ALS) as reported from the surviving spouses' perspectives. Six surviving spouses of people with ALS participated in semi-structured interviews after the deaths of their partners. The interviews were transcribed and coded. Data analysis revealed four primary themes: communication styles, augmentative and alternative communication (AAC) use, decision-making, and lifestyle changes. Spouses described unique changes in communication styles as their partners began to use augmentative communication strategies and devices. AAC devices were described as essential for individuals with ALS with respect to decision making and maintaining social roles. Spouses stated the importance of adapting social activities in order to maintain involvement in the community as well as with family and friends.

The influence of water vapour on the determination of glutaraldehyde vapour concentrations using an electrochemical fuel cell sensor.

The effects of relative humidity (40-90% RH) and varying glutaraldehyde vapour concentrations (< 0.1 ppm) on the response of an electrochemical fuel cell sensor have been investigated over time (0-400 s). These studies have identified changes in the response of the fuel cell with time after sampling. In particular, it has been found that the maximum cell output for water vapour occurs ca. 10 s after sampling whilst the response to glutaraldehyde occurs much later (> 100 s). For mixtures containing different ratios of water and glutaraldehyde vapours, the time taken to reach maximum fuel cell response varies between 10 and 100 s, depending on the ratio of the two vapours. For instance, glutaraldehyde vapour containing higher % RH has been found to result in shorter times to reach maximum fuel cell response. A comparison was made between measuring glutaraldehyde vapour concentrations in the presence of water vapour at the maximum fuel cell response and also at a fixed interval (240 s) after sampling. Such a comparison resulted in a reduction in the standard error from 36% to 5% for a glutaraldehyde vapour sample (0.023 ppm) measured at different values of relative humidity (40 to 80%). Examination of the effect of the sample volume (30-60 ml) on the response of the fuel cell shows, as expected, an approximate doubling of the fuel cell response. Optimisation of the fuel cell measurement parameters to measure a 60 ml sample leads to a lowering of the limit of detection from 0.083 ppm (for data taken at the maximum cell response) to 0.017 ppm for data measured 240 s after sampling. In the light of recent reductions in the legal limits for exposure to glutaraldehyde, this has important implications for the measurement of glutaraldehyde vapour in the workplace.

Urbanization's impact on timber harvesting in the south central United States.

The impact of urbanization on timber harvesting in the south central United States was investigated. Geo-referenced Census and Forest Inventory Analysis (FIA) data were combined using a geographic information system (GIS) in order to examine the effects of various demographic and biophysical forest inventory characteristics on timber harvesting. These effects were estimated for intermediate and final harvests using a multinomial logit model. The probability for both types of harvests decreased with increasing population density, decreasing forest size, and decreasing distance to urban areas; however, the reduction in intermediate harvests was greater for each variable. Harvesting rates decreased by as much as 19% as population densities increased or distance to urban areas decreased. The results indicated that active forest management is curtailed far beyond the urban boundary. In order to model the impact of urbanization adequately, timber supply projections must also account for its impact on harvesting frequencies in surrounding areas.