In an attempt to understand the reasons behind the high prevalence of tobacco smoking in patients with schizophrenia, the study examined whether specific symptoms of schizophrenia were associated with smoking. Standardized assessments of nicotine dependence (Fagerstrom Test for Nicotine Dependence) and psychopathology (Positive and Negative Syndrome Scale) were performed on 87 inpatients with schizophrenia. Nearly 76% of patients were nicotine dependent. Significant positive correlations were found between Fagerstrom scores and the total negative symptom score and scores on the negative symptom subscales of blunted affect, social withdrawal, difficulty in abstract thinking, and stereotyped thinking. Fagerstrom scores were also significantly associated with impairment in attention, orientation, thinking, and impulse control. Positive symptoms were not significantly associated with smoking. A combination of negative symptoms, duration of illness, and alcohol use optimally predicted smoking in the sample. Neurobiological mechanisms could possibly underlie some of our findings and require further investigation.

Background and hypotheses. Postcancer cognitive impairment (PCCI) is observed in a substantial number of breast cancer survivors, persisting for as long as 20 years in some subgroups. Although compensatory strategies are frequently suggested, no restorative interventions have yet been identified. This study examined the feasibility of EEG biofeedback ("neurofeedback") and its potential effectiveness in reducing PCCI as well as the fatigue, sleep disturbance, and psychological symptoms that frequently accompany PCCI. Study design. This was a 6-month prospective study with a waitlist control period followed by an active intervention. Participants were female breast cancer survivors (n = 23), 6 to 60 months postchemotherapy, with self-reported cognitive impairment. Methods. Results. All 23 participants completed the study, demonstrating the feasibility of EEG biofeedback in this population. Initially, the sample demonstrated significant dysfunction on all measures compared with general population norms. Repeated-measures ANOVAs revealed strongly significant improvements (P < .001) on all 4 cognitive measures (perceived cognitive impairment, comments from others, perceived cognitive abilities, and impact on quality of life [QOL]), the fatigue scale, and the 4 psychological scales (somatization, depression, anxiety and global severity index) as well as on 3 of 8 sleep scales (quality, daytime dysfunction, and global). Two of the other sleep scales (latency and disturbance) were significant at P < .01, and 1 (use of medication) at P < .05; 2 were not significant. Improvements were generally linear across the course of training, and were maintained at the follow-up testing. At the follow-up testing, the sample no longer differed significantly from normative populations on 3 of the 4 FACT-Cog measures (impairment, impact on QOL, and comments), FACIT-Fatigue, PSQI sleep quality and habitual efficiency, or any of the BSI-18 measures of psychological disturbance. Conclusions. Data from this limited study suggest that EEG biofeedback has potential for reducing the negative cognitive and emotional sequelae of cancer treatment as well as improving fatigue and sleep patterns.

Controversy over the TAT's reliability may stem largely from the mis-application of traditional psychometric measures, which are inappropriate to this test. The TAT is implicitly based on a multiple regression model, for which coefficient alpha is not appropriate. Also, test-retest correlations may be adversely affected by the standard instructions to write a "creative" story. In a test-retest study, 47 high school students retook the TAT after a year with instructions designed to break the implicit set to produce a new and different story from that previously written. The test-retest correlations were r = .48 (need for affiliation) and .56 (need for intimacy), or approximately the same as those for, e.g., the MMPI, 16PF, and CPI, It was demonstrated that this high stability over time was not due to subjects' recalling and repeating previous responses. Finally, it was shown that alpha considerably underestimated the test-retest reliability, contrary to assumptions of classical psychometrics.

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Employment is often viewed as a potent indicator of substance abuse treatment outcome. This study was conducted to determine if personality and/or demographic characteristics of a cohort of unemployed substance dependent persons presenting for addiction treatment might predict employment 9 months postadmission. By using stepwise discriminant function analysis, seven variables predictive of employment were identified. The positive value of employment was clearly documented. Those who gained employment were functioning better with regard to social and drug-use parameters than those who did not.