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Study Design: A systematic review of the literature concerning the nature of the psychological morbidity in people with spinal cord injury (SCI). Objectives: SCI is believed to place the individual at a high risk of psychological morbidity. The objective of this paper was to examine systematically the prevalence of negative psychological states in people with SCI, as well as to explore mediating and contextual factors. Methods: Search engines such as Medline and PsycInfo were systematically searched using specific key words, such as SCI, depression, anxiety and so on. Only studies that fulfilled certain criteria such as the use of valid measures in assessing psychological morbidity were used in the review process. Results: The systematic review revealed that clarification is still needed concerning the psychological consequences of people with SCI. However, findings suggest that approximately 30% of people with SCI are at risk of having a depressive disorder although in rehabilitation, and approximately 27% are at risk of having raised depressive symptoms when living in the community. The review also established that people with SCI have higher comparative risks of anxiety disorder, elevated levels of anxiety, feelings of helplessness and poor quality of life (QOL). Conclusion: People with SCI have an increased risk of suffering debilitating levels of psychological morbidity. Future research needs to clarify the extent and nature of psychological morbidity following SCI by conducting prospective and comprehensive research in large heterogeneous samples of people with SCI during the rehabilitation phase and following reintegration into the community.

Fatigue has major implications for transportation system safety; therefore, investigating the psychophysiological links to fatigue could enhance our understanding and management of fatigue in the transport industry. This study examined the psychophysiological changes that occurred during a driver simulator task in 35 randomly selected subjects. Results showed that significant electroencephalographic changes occur during fatigue. Delta and theta activity were found to increase significantly during fatigue. Heart rate was significantly lower after the driving task. Blink rate also changed during the fatigue task. Increased trait anxiety, tension-anxiety, fatigue-inertia and reduced vigor-activity were shown to be associated with neurophysiological indicators of fatigue such as increased delta and theta activity. The results are discussed in light of directions for future studies and for the development of a fatigue countermeasure device.

Many behaviour, psychotherapy and healthy life-style programmes require subjects to take responsibility for the control of the old unwanted behaviours or to be responsible for maintaining new desired behaviours after therapy has ended. A scale to measure the locus of control of behaviour would be valuable if it could predict persons likely to relapse following apparently successful therapy. A 17-item Likert-type scale to measure this construct was developed and shown to have satisfactory internal reliability, to be test-retest reliable in the absence of treatment, to be independent of age, sex and social desirability, and to distinguish clinical disorder from normal non-clinical subjects. Furthermore, change towards internality (a reduced LCB score) during therapy was shown to predict maintenance or, alternatively, change towards externality (an increase or no change in the LCB score) was shown to predict relapse 10 months later in treated stutterers. The scale was shown to be related to the personal control factor of the Rotter I-E scale but to be more powerful a predictor of relapse than this personal control subscale or the full Rotter scale.

Assessing brain wave activity is a viable strategy for monitoring fatigue when performing tasks such as driving, and numerous studies have been conducted in this area. However, results of a systematic review on changes in brain wave activity associated with fatigue have revealed equivocal findings. This study investigated brain wave activity associated with fatigue in 48 nonprofessional healthy drivers as they participated in a simulated driving task until they fatigued. The results showed that as a person fatigues, slow wave activity increased over the entire cortex, in theta and in alpha 1 and 2 bands, while no significant changes were found in delta wave activity. Substantial increases also occurred in fast wave activity, though mostly in frontal sites. The results suggest that as a person fatigues, the brain loses capacity and slows its activity, and that attempts to maintain vigilance levels lead to increased beta activity.

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A randomized and stratified investigation was conducted into the epidemiology of stuttering in the community across the entire life span. Persons from households in the state of New South Wales, Australia, were asked to participate in a telephone interview. Consenting persons were given a brief introduction to the research, and details were requested concerning the number and age of the persons living in the household at the time of the interview. Interviewees were then given a description of stuttering. Based on this description, they were asked if any person living in their household stuttered (prevalence). If they answered "yes," a number of corroborative questions were asked, and permission was requested to tape over the telephone the speech of the person who stutters. Confirmation of stuttering was based on (a) a positive detection of stuttering from the tape and (b) an affirmative answer to at least one of the corroborative questions supporting the diagnosis. Results showed that the prevalence of stuttering over the whole population was 0.72%, with higher prevalence rates in younger children (1.4-1.44) and lowest rates in adolescence (0.53). Male-to-female ratios ranged from 2.3:1 in younger children to 4:1 in adolescence, with a ratio of 2.3:1 across all ages. The household member being interviewed was also asked whether anyone in the household had ever stuttered. If the answer was "yes," the same corroborative questions were asked. These data, along with the prevalence data, provided an estimate of the incidence or risk of stuttering, which was found to range from 2.1% in adults (21-50 years) to 2.8% in younger children (2-5 years) and 3.4% in older children (6-10 years). Implications of these results are discussed.