Sleep Initiation and Maintenance Disorders: Alessi CA

Kushida CA, Littner MR, Morgenthaler T, Alessi CA, Bailey D, Coleman J, Friedman L, Hirshkowitz M, Kapen S, Kramer M, Lee-Chiong T, Loube DL, Owens J, Pancer JP, Wise M. · Stanford University Center of Excellence for Sleep Disorders, Stanford, CA, USA. · Sleep. · Pubmed #16171294 No free full text.

Abstract: These practice parameters are an update of the previously-published recommendations regarding the indications for polysomnography and related procedures in the diagnosis of sleep disorders. Diagnostic categories include the following: sleep related breathing disorders, other respiratory disorders, narcolepsy, parasomnias, sleep related seizure disorders, restless legs syndrome, periodic limb movement sleep disorder, depression with insomnia, and circadian rhythm sleep disorders. Polysomnography is routinely indicated for the diagnosis of sleep related breathing disorders; for continuous positive airway pressure (CPAP) titration in patients with sleep related breathing disorders; for the assessment of treatment results in some cases; with a multiple sleep latency test in the evaluation of suspected narcolepsy; in evaluating sleep related behaviors that are violent or otherwise potentially injurious to the patient or others; and in certain atypical or unusual parasomnias. Polysomnography may be indicated in patients with neuromuscular disorders and sleep related symptoms; to assist in the diagnosis of paroxysmal arousals or other sleep disruptions thought to be seizure related; in a presumed parasomnia or sleep related seizure disorder that does not respond to conventional therapy; or when there is a strong clinical suspicion of periodic limb movement sleep disorder. Polysomnography is not routinely indicated to diagnose chronic lung disease; in cases of typical, uncomplicated, and noninjurious parasomnias when the diagnosis is clearly delineated; for patients with seizures who have no specific complaints consistent with a sleep disorder; to diagnose or treat restless legs syndrome; for the diagnosis of circadian rhythm sleep disorders; or to establish a diagnosis of depression.

Schnelle JF, Alessi CA, Al-Samarrai NR, Fricker RD, Ouslander JG. · Borun Center for Gerontological Research and UCLA School of Medicine, Los Angeles, CA, USA. · J Am Geriatr Soc. · Pubmed #10203118 No free full text.

Abstract: OBJECTIVES: The sleep of nursing home residents is fragmented by frequent awakening episodes associated, at least in part, with environmental variables, including noise and light changes. The purpose of this study was to improve sleep by reducing the frequency of nighttime noise and light changes. PARTICIPANTS AND SETTING: Two hundred sixty-seven incontinent nursing home residents in eight nursing homes. DESIGN: A randomized control group design with a delayed intervention for the control group. MEASUREMENTS: Bedside noise and light monitors recorded the number of 2-minute intervals at night with peak sounds recorded above 50 dBs and the number of light changes of at least 10 lux between adjacent 2-minute intervals. Daytime behavioral observations measured sleep and in-bed time during the day, and wrist activity was used to estimate sleep at night. Awakening events associated with the environmental variables were derived from the wrist activity data. INTERVENTION: A behavioral intervention implemented between 7:00 p.m. and 6:00 a.m. that involved feedback to nursing home staff about noise levels and implementation by research staff of procedures to both abate noise (e.g., turn off unwatched television sets) and to individualize nighttime incontinence care routines to be less disruptive to sleep. RESULTS: Noise was reduced significantly, from an average of 83 intervals per night with peak noises recorded above 50 dBs to an average of 58 intervals per night in the group that received the initial intervention, whereas noise in the control group showed no change (MANOVA group x time P < .001). All 10-dB categories of noise from 50 to 90+ dBs were reduced, and light changes were reduced from an average of four per night per resident to two per night (P < .001). Despite these significant changes in the environmental variables, there was a significant differential improvement in the intervention group on only two night sleep measures: awakening associated with a combination of noise plus light (P < .001) and awakening associated with light (P < .001). However, there was a significant correlation between change in noise and change in percent sleep from baseline to intervention (r = -.29, P < .05), suggesting that the intervention did not reduce noise to low enough levels to produce a significant improvement in sleep. The intervention effects on all environmental variables were replicated in the delayed intervention group, who again showed significant improvement on the same sleep measures. Observations of day sleep and in-bed time did not change over the phases of the trial for either group. CONCLUSION: The significant reductions in noise and light events resulting from the intervention did not lead to significant improvements in the day sleep and most night sleep measures. An intervention that combines both behavioral and environmental strategies and that addresses daytime behavioral factors associated with poor sleep (e.g., excessive time in bed) would potentially be more effective in improving the night sleep and quality of life of nursing home residents.

Martin JL, Marler MR, Harker JO, Josephson KR, Alessi CA. · Multicampus Program in Geriatric Medicine and Gerontology, University of California, Los Angeles, USA. · J Gerontol A Biol Sci Med Sci. · Pubmed #17301040 No free full text.

Abstract: BACKGROUND: Sleep and circadian rhythms are disrupted among many nursing home (NH) residents. We examined the impact of a multicomponent nonpharmacological intervention on 24-hour rest/activity rhythms among long-stay NH residents. METHODS: The study was a randomized controlled trial in which, following a 3-day baseline, participants received 5 days of either usual care (control condition) or the active intervention. The intervention combined increased exposure to outdoor bright light, efforts to keep residents out of bed during the day, structured physical activity, institution of a bedtime routine, and efforts to reduce nighttime noise and light in residents' rooms. For 100 residents with baseline and follow-up wrist actigraphy data (mean age = 87 years; 76% women), rest/activity rhythms were modeled to determine the rhythm acrophase (peak time), nadir (trough time), midline estimating statistic of rhythm (MESOR) (midpoint), amplitude (height of peak), slope, and the rest period/active period ratio (alpha). RESULTS: The intervention led to an increase in the duration of the "active" portion of the rhythm, which was primarily accounted for by a shift in the rest/activity rhythm rise to an earlier time. Findings persisted when analyses were adjusted for age, cognitive functioning, medical comorbidities, and behavioral disturbances. CONCLUSIONS: These findings suggest that the intervention may effectively improve the robustness of rest/activity rhythms in NH residents. Further research is needed to examine the impact of similar interventions on other measures of circadian rhythms (e.g., body temperature, melatonin) among NH residents.

Martin JL, Alessi CA. · No affiliation provided · J Am Geriatr Soc. · Pubmed #16866697 No free full text.

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