This study examined the prevalence and correlates of sleep disturbance in adolescents. Two hundred seventy-seven 9th- and 10th-grade students completed a questionnaire on sleep quality, sleep habits, beliefs about sleep, and daytime mood and functioning. Based on their responses, subjects were classified as good sleepers (66%), occasional poor sleepers (23%), and chronic poor sleepers (11%). Occasional and chronic poor sleepers reported being significantly more depressed, without energy, tense, moody, and irritable and less rested and alert than good sleepers. They were also more likely to describe themselves negatively. However, poor sleepers were not consistently more tired than good sleepers. Rather, they tended to be least tired in the evening, the time when most good sleepers reported feeling tired. There were few differences in the sleep habits and beliefs about sleep of good and poor sleepers. All subjects reported shifts in bedtimes and waketimes from weekdays to weekends, with occasional and chronic poor sleepers showing a tendency toward greater shifts, a possible factor contributing to their sleep disturbance. Occasional and chronic poor sleepers also reported more observable behaviors and feelings of stress than good sleepers. The need for early intervention with particular attention to teaching adolescents about good sleep habits and the need for stable bedtimes and waketimes and the possibility of joint intervention on daytime stress and sleeping problems are discussed.

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Three controlled case studies are presented to demonstrate the application of behavioral self-management to two subtypes of sleep-maintenance insomnia. Patient 1 suffered from brief but frequent arousals to wakefulness and to NREM Stage 1 sleep. Patient 2 suffered from brief but frequent arousals and extended minutes awake after sleep onset. Patient 3 suffered from an extended latency to sleep onset and also extended minutes awake after sleep onset. The self-management treatment program was designed to teach these patients skills for identifying and modifying environmental, behavioral, physiological, and cognitive conditions related to poor sleep. Results are documented using home and laboratory all-night sleep recordings during treatment and at 3 and 12 months following the end of treatment.

Brief consultation and stress management treatments to help insomniacs withdraw from sleep medication were evaluated with 12 drug-dependent women. The effects of treatment were assessed by all-night home polysomnographic recordings and questionnaires. All 12 subjects succeeded in withdrawing from sleep medication and showed a number of improvements independent of the treatment received: (a) decreased latency to sleep onset, (b) increased minutes of Stage 3 sleep and total slow-wave sleep, (c) increased self-efficacy, and (d) reductions in some types of daytime stress. Subjects in the stress management treatment compared to those in the brief consultation program showed (a) significantly greater improvement on latency to sleep onset, total wake time, total dark time, and sleep efficiency, (b) less of an increase in minutes awake after sleep onset, and (c) greater reductions in anger and depression. Results of 6- and 12-month follow-up and partial replication of the brief consultation program are reported.

All‐night sleep recordings were obtained for 8 subjects who slept for 3 consecutive nights in a standard sleep laboratory and for 3 consecutive nights at home. The order of recording locations was counterbalanced across subjects. No first night effects were found in either location. Subjects' sleep in the two locations was highly correlated, with nonsignificant correlations occurring on only four variables (Number of Stage 1 Arousals, Minutes of Stage 1 Sleep, Latency to First REM, and number of REM periods). Significant differences between mean values were found on four variables: Minutes of Stage 3 Sleep, Percent of Stage 2 Sleep, Percent of Stage 3 Sleep, and Number of REM periods. Variances on Total Sleep Time and Latency to Sleep Onset were greater in the laboratory than at home. Generalizability theory was used to generate estimates of the degree to which each experimental factor (subjects, occasions, and raters) influenced observed score variance in each location. There was less between and within‐subject variability at home on Total Sleep Time, Latency to Sleep Onset, and Stages 1 and 2 Sleep. Minutes Awake after Sleep Onset, Number of Arousals, and REM Sleep were less variable in the laboratory than at home. Taken together, these data suggest strong relationships between estimates of sleep parameters obtained in the two locations. But recordings in different locations may yield different values on some variables for groups of persons and for some individuals within those groups.