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Original Investigation | ONLINE FIRST

Efficacy of Brief Behavioral Treatment for Chronic Insomnia in Older Adults FREE

Daniel J. Buysse, MD; Anne Germain, PhD; Douglas E. Moul, MD, MPH; Peter L. Franzen, PhD; Laurie K. Brar, MSN; Mary E. Fletcher, BS; Amy Begley, MA; Patricia R. Houck, MSH; Sati Mazumdar, PhD; Charles F. Reynolds III, MD; Timothy H. Monk, DSc, PhD
[+] Author Affiliations

Author Affiliations: Sleep Medicine Institute and Department of Psychiatry, University of Pittsburgh School of Medicine (Drs Buysse, Germain, Franzen, Reynolds, and Monk and Mss Brar, Fletcher, Begley, and Houck), and Department of Biostatistics, University of Pittsburgh Graduate School of Public Health (Dr Mazumdar), Pittsburgh, Pennsylvania; and Cleveland Clinic Sleep Disorders Center, Cleveland, Ohio (Dr Moul).


Arch Intern Med. 2011;171(10):887-895. doi:10.1001/archinternmed.2010.535.
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Insomnia is defined by difficulty falling asleep, difficulty staying asleep, nonrestorative sleep, and waking symptoms such as fatigue, impaired concentration, and mood disturbance.1,2 The prevalence of insomnia is approximately 5% to 20% in the general adult population3 and 20% to 30% in primary care medical settings.4,5 Insomnia is commonly comorbid with physical and mental disorders6 and chronic, persisting for a year or longer in 74% of individuals.7 The health and functional consequences of insomnia include reduced quality of life, increased health care utilization and costs, disability, and risk for psychiatric disorders and cardiovascular disease.8,9 Insomnia is especially relevant for older adults, given its high prevalence (estimated at 15%-35%), persistence, and association with falls and hip fractures.3,10 Older adults are prescribed hypnotic agents disproportionately frequently and for disproportionately long-term use and are more likely than other populations to experience adverse drug effects.3,1114

Pharmacologic and behavioral treatments for chronic insomnia have approximately equivalent efficacy.15,16 Each has specific merits and drawbacks. Hypnotic agents approved by the US Food and Drug Administration, including benzodiazepine receptor agonist (BZRA) drugs, are widely available, easy to use, and have rapid and sustained efficacy.15,17,18 However, BZRA safety concerns include dependence and abuse, cognitive impairment, and increased risk of falls and hip fractures, particularly in older adults.14,19,20 Behavioral and psychological techniques include sleep education, restriction of time in bed, stimulus control (strengthening associations between bed and sleep), and addressing anxiety-provoking beliefs about sleep.21 These treatments, particularly multicomponent cognitive behavioral therapy for insomnia (CBTI), are often preferred by patients22 and have consistent short-term and long-term efficacy23,24 with few apparent adverse effects. However, widespread use of CBTI is limited by the number of specialty-trained clinicians and by the duration, intensity, and initial cost of 6 to 8 individual treatment sessions. Moreover, most efficacy trials of pharmacologic and behavioral treatments have studied patients with primary insomnia and excluded the larger group of patients with substantial medical and psychiatric comorbidities, which includes many older adults.

The present study was conducted to test a behavioral treatment of insomnia that offers potential for widespread use. For a behavioral treatment to be relevant in general medical settings, it must be brief, acceptable to patients, deliverable by nurses or other allied health professionals, and efficacious over a short time interval in patients with typical comorbidities. We studied older adults because of the prevalence and consequences of insomnia and the potential safety benefits of a nondrug treatment in this group. The specific aim of this study was to test the short-term efficacy and 6-month durability of brief behavioral treatment for insomnia (BBTI) vs an information control (IC) intervention among older adults with insomnia.

OVERVIEW

After recruitment, screening, and baseline assessments, participants were randomly assigned to BBTI or IC, and primary outcomes were assessed after 4 weeks. Outcomes included questionnaires, sleep diary, actigraphy, and polysomnography (PSG). The University of Pittsburgh Biomedical institutional review board approved the study. All participants provided written informed consent and were financially compensated. An earlier publication reported on a subset of self-reported outcomes in 35 participants.25

PARTICIPANTS

A convenience sample of 82 older adults with chronic insomnia was recruited from a single primary care practice (n = 21) or from the community via advertisements (n = 61). Participants met criteria for primary insomnia in the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision) (DSM-IV-TR)2 and for general insomnia disorder in the International Classification of Sleep Disorders (Second Edition) (ICSD-2),1 verified by self-report questionnaires and structured clinician interviews. These criteria specify a sleep complaint lasting for at least 1 month; adequate opportunity and circumstances for sleep; and significant distress or daytime impairment. To enhance generalizability and clinical relevance, we did not apply quantitative self-report or objective sleep criteria for sleep latency, wakefulness, or total sleep time, or the DSM-IV-TR exclusion criteria for medical or psychiatric disorders. Therefore, our participants would be considered to have “comorbid insomnia.”26 Exclusion criteria were dementia; untreated psychiatric, substance use, or other sleep disorder; recent hospitalization; ongoing chemotherapy or other cancer treatment; and life expectancy less than 6 months. Individuals with treated depressive, anxiety, or sleep disorders were not excluded. Previously diagnosed and treated sleep apnea was not an exclusion, but the final sample did not include any such participants.

Potential subjects were evaluated with a telephone screening interview followed by in-person assessments. Sleep diaries; structured interviews; locally developed sleep, medical history, and medication surveys; and sleep and psychiatric symptom questionnaires were used for assessment and diagnosis. Figure 1 illustrates participant flow, and Table 1 summarizes pretreatment clinical characteristics.

Place holder to copy figure label and caption
Figure 1.

Study flowchart.

Graphic Jump Location
Table Graphic Jump LocationTable 1. Baseline Demographic and Clinical Characteristicsa
INTERVENTIONS

Eligible participants were randomly assigned to BBTI or IC by permuted block design (block size, 4), stratified by age (≤75 vs >75 years) and sex. The BBTI consists of a 45- to 60-minute individual intervention session followed by a 30-minute follow-up session 2 weeks later and 20-minute telephone calls after 1 and 3 weeks (eAppendix). The BBTI emphasizes behavioral elements of insomnia treatment rather than the cognitive components present in CBTI. The BBTI includes sleep education and discussion of homeostatic and circadian mechanisms of human sleep regulation.28 This education provides the rationale for the 4 main interventions of BBTI: (1) reduce time in bed; (2) get up at the same time every day, regardless of sleep duration; (3) do not go to bed unless sleepy; and (4) do not stay in bed unless asleep. Napping is discouraged. These interventions derive from sleep restriction and stimulus control techniques, the efficacy of which has been well documented.16,29 Time in bed was limited to average self-reported sleep time plus 30 minutes, with a minimum of 6 hours.

The IC condition was intended to emulate the behavioral treatment information generally to available patients and practitioners and included instructions to read and review 3 publications from the American Academy of Sleep Medicine: Insomnia,30Sleep as We Grow Older,31 and Sleep Hygiene.32 The content of these publications overlaps substantially with BBTI but without individualized behavioral instructions. Two weeks later, IC participants received a 10-minute follow-up telephone call to encourage continued participation. Participants were referred back to the brochures for specific sleep-related questions.

Both interventions were delivered by a single master's level mental health nurse practitioner (L.K.B.) with no prior experience in sleep medicine or behavioral interventions for insomnia. This choice was consistent with the balance between efficacy and effectiveness research we sought to achieve in this study. Further information regarding the interventions, training, participants' treatment expectations, acceptance, integrity of treatment delivery, and outcomes is presented in the eAppendix.

MEASURES

Participants provided demographic information; completed retrospective self-report questionnaires, interviewer-administered questionnaires, and 2-week sleep diaries; and underwent actigraphy and in-home PSG studies both prior to treatment and 4 weeks after the start of the intervention. Participants who showed a favorable short-term response to the BBTI were recontacted after 6 months to complete questionnaires and sleep diaries. We did not systematically follow up with the BBTI nonresponders and IC participants because of our conceptual model: we assumed that in clinical practice, nonresponders would be offered other treatment such as medication. All IC participants were offered BBTI following the initial 4-week treatment period.

Demographic information included age, sex, race, highest educational level, and subjective socioeconomic status (SES) using the SES Ladder.33,34 Medical status was evaluated with a comorbidity questionnaire adapted from the Charlson Comorbidity Index,35,36 with an expanded range of health conditions. Current medications were grouped into 15 categories. Health-related quality of life was characterized with a single item on self-reported health from the Medical Outcomes Study 36-Item Short Form Health Survey.37,38 Neuropsychiatric status was characterized using the Patient Health Questionnaire,27 the 17-item Hamilton Rating Scale for Depression,39 the Hamilton Anxiety Rating Scale,40 and the Mini–Mental State Examination.41 Subjective sleep quality was characterized with the Pittsburgh Sleep Quality Index (PSQI)42 and sleepiness with the Epworth Sleepiness Scale.43

The Pittsburgh Sleep Diary44 is a daily self-report measure of bed time and rise time, sleep onset latency (SOL), wakefulness after sleep onset (WASO), and sleep quality (visual analog scale). Reported sleep parameters are used to calculate time in bed, total sleep time (TST), and sleep efficiency (SE, calculated as TST/time in bed × 100). The Pittsburgh Sleep Diary is sensitive to differences between patients with sleep disorder and controls44 and to behavioral treatment effects.25 Mean values for the final 2 weeks of the intervention period were used in outcome analyses.

Wrist actigraphy data (Minimitter Actiwatch-64; Minimitter, Bend, Oregon) were collected for 2 weeks with concurrent data from sleep diaries to determine objective sleep-wake patterns. One-minute epochs were analyzed with Actiware software, version 5.04 using sleep diary data to identify bed time and wake time. In cases where visual inspection showed an obvious discrepancy between diary sleep times and observed activity patterns, actigraphy bed and/or rise times were edited (fewer than 4% of daily records). Outcome variables included SOL, WASO, TST, and SE.

Polysomnography was conducted in participants' homes at their usual sleep times using Compumedics Siesta (Compumedics Limited, Abbotsford, Victoria, Australia) monitors. One screening PSG was obtained to quantify apnea and periodic limb movements, and 2 additional consecutive nights were collected at both pretreatment baseline and after treatment. The eAppendix provides details of PSG recording and scoring; PSG outcome measures included SOL, WASO, TST, and SE averaged over 2 nights.

STATISTICAL ANALYSIS

All analyses were based on intention to treat. Three BBTI participants were excluded: 1 required back surgery before starting intervention; 1 withdrew prior to intervention owing to her spouse's medical illness; and 1 was found not to meet inclusion criteria. Participant characteristics for the intervention groups were compared using t tests, χ2 tests, and Fisher Exact statistics. For the primary outcome analyses, 4 categorical outcomes were compared using χ2 tests: response (change in PSQI score of ≥3 points or increase in sleep diary SE of ≥10%); remission (response criterion plus final PSQI score of <5 and sleep diary SE of >85%, corresponding to “good sleep” values42,45); partial response (improvement in PSQI or SE but worsening in the other measure); and nonresponse (change in PSQI of <3 points and increase in sleep diary SE of <10%).

There are no generally accepted criteria for response or remission in insomnia treatment studies.46 Our response criteria are supported by 3 types of data (eAppendix): (1) they correspond to approximately 1 standard deviation of the pretreatment values (Cohen d effect size of approximately 1.0); (2) they are consistent with mean change values in published clinical trials; and (3) they correspond to a change score of approximately −6 in the Insomnia Severity Index (ISI),47 which has been validated as a clinically significant change. As an additional measure of clinical significance, we ascertained whether each participant met DSM-IV-TR and/or ICSD-2 criteria for insomnia disorder after treatment using a structured interview and checklist. We calculated the number needed to treat and the absolute risk reduction associated with BBTI compared with IC using these categorical outcomes. We also conducted a series of subgroup analyses to confirm the general pattern of findings, using Fisher exact statistics (eTable 1 and eTable 2).

Secondary outcomes for 4 domains of continuous variables (general clinical and sleep measures, sleep diary, actigraphy, and PSG) were evaluated by repeated-measures multivariate analyses of variance (MANOVA). Factors were group (BBTI vs IC), time (pretreatment or posttreatment), and group × time interaction. Prior to the MANOVA, missing data were imputed from least squares mean values for each group using univariate mixed models (eAppendix). The MANOVA interaction effects were further explored with mixed models for individual outcomes (Tables 2, 3, 4, and 5). Although many sleep measures have skewed distributions, sensitivity analyses showed that significant interaction effects were unchanged with either raw or transformed data. We report individual outcomes in their original units to facilitate clinical interpretation. Statistical analyses were conducted using SAS software, version 9.2 (SAS Institute Inc, Cary, North Carolina).

Table Graphic Jump LocationTable 2. General Clinical and Sleep Measures
GENERAL RESULTS

The most frequent reason for exclusion was clinical or PSG evidence of untreated apnea, other sleep disorder, or psychiatric disorder (Figure 1). Excluded subjects differed from included subjects in the percentage of men (53% [n = 36] vs 32% [n = 25]), but not in age, sex, race, medical comorbidities, or PSQI score (eTable 1). Treatment groups did not differ significantly in sociodemographic or clinical characteristics (Table 1). Participants tolerated the interventions well: 1 BBTI participant dropped out owing to an unrelated medical problem; 92% of BBTI participants (n = 36) and 100% of IC participants (n = 40) completed all scheduled in-person and telephone sessions, and no significant adverse effects were reported.

CATEGORICAL OUTCOMES

Using the 4 outcome categories, we found that the BBTI group had significantly better outcomes than the IC group (χ23 = 16.9, P < .001) (Figure 2A). The BBTI participants also had significantly better outcomes as evaluated by 2 categories of remission or response vs partial response or nonresponse (χ2 = 13.8, P < .001). Using these 2 categories, we found that the number needed to treat was 2.4 (95% confidence interval [CI], 1.6-4.6), and the absolute risk reduction was 41.7% (95% CI, 21.7%-61.6%). The percentage of participants who no longer met criteria for insomnia disorder at the end of intervention was higher in the BBTI group (55% [n = 21]) than in the IC group (13% [n = 5]) (χ2 = 15.5, P < .001) (Figure 2B). The number needed to treat for this outcome was 2.4 (95% CI, 1.6-4.3) for BBTI vs IC, and the absolute risk reduction was 42.4% (95% CI, 23.5%-61.4%).

Place holder to copy figure label and caption
Figure 2.

Categorical treatment outcomes. A, Outcomes for participants assigned to the brief behavioral treatment for insomnia (BBTI) and IC groups (χ2 = 13.8, P < .001). See the “Methods” section for definitions. B, Percentages of participants in each group who no longer met the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision)2 and/or International Classification of Sleep Disorders (Second Edition)1 criteria for insomnia after treatment (χ2 = 15.5, P < .001). See the “Methods” section for details.

Graphic Jump Location
OUTCOMES BY DOMAIN

The MANOVA for general clinical and sleep measures showed a significant treatment group × time interaction (F5,73 = 5.99, P < .001), as well as significant group (F5,73 = 2.34, P = .05), and time (F5,73 = 2.34, P < .001) main effects (Table 2). Mixed models indicated significant effects of BBTI and significant differences between BBTI and IC in change scores for depression, sleep quality, and general health. Effect sizes were moderate. No group difference was found for change in anxiety or sleepiness. The MANOVA for the sleep diary domain also indicated significant interaction (F8,70 = 4.32, P < .001) and time effects (F8,70 = 6.65, P < .001) but no significant effect for group (F8,70 = 1.67, P = .12) (Table 3). The BBTI group had later bedtimes, improved sleep quality, and improved SOL, WASO, and SE compared with the IC group, with moderate to large effect sizes. The TST and morning rise time did not show differential effects of the 2 interventions. Significant differential treatment effects were found for actigraphy (MANOVA interaction, F4,74 = 17.72, P < .001; time, F4,74 = 15.37, P < .001; and group, F4,74 = 2.13, P = .09) (Table 4). We found that the BBTI group had a significantly greater reduction in actigraphy-based WASO and SOL and a significantly greater increase in SE compared with the IC group using mixed models. The BBTI group also had a significantly greater reduction in actigraphically measured TST from pretreatment to posttreatment. However, the significant MANOVA interaction was still seen after excluding TST (interaction, F3,75 = 5.85, P = .001). No differential treatment effects were noted for PSG (MANOVA interaction, F4,74 = 1.20, P = .32; time, F4,74 = 3.95, P = .006; group F4,74 = 0.47, P = .76) (Table 5). Sensitivity analyses using natural log and square root transformations in univariate mixed model analyses revealed an identical pattern of significant results.

6-MONTH FOLLOW-UP

Follow-up data were available for 25 BBTI participants (9 remitters, 12 responders, 3 partial remitters, and 1 nonresponder who did not desire other treatment). Of these, 40% (n = 10) met criteria for remission, 44% (n = 11) met criteria for response, 12% (n = 3) met criteria for partial response, and 1 met criteria for nonresponse. Sixty-four percent no longer met DSM-IV-TR or ICSD-2 criteria for insomnia disorder (16 of 25). We also examined changes of at least 1 category in either direction from posttreatment to 6-month follow-up. Twenty percent of participants improved (n = 5), 56% were unchanged (n = 14), and 24% worsened (n = 6). Sleep diary mean (SD) TST significantly increased from the end of short-term treatment to 6-month follow-up (340 [52.6] vs 386 [80.5] minutes, t22 = −3.90, P < .001).

Older adults with chronic insomnia treated with BBTI showed clinically and statistically significant improvement in sleep outcomes at 4 weeks compared with participants treated with IC. The superiority of BBTI was seen for outcomes based on categorically defined criteria, presence of insomnia disorder, number needed to treat, retrospective clinical ratings, sleep diary, and actigraphy but not PSG. Various clinical subgroups did not show differential effects, and treatment gains were maintained at 6 months. The BBTI delivered by a nurse clinician may be an efficacious and practical treatment for chronic insomnia in older adults.

Differences in specific inclusion and exclusion criteria and study instruments make it difficult to compare the magnitude of treatment effects across behavioral treatment studies of insomnia. The improvements seen with BBTI appear similar to those observed with traditional CBTI in middle-aged populations, although somewhat smaller in magnitude,16,23 and comparable in magnitude to those reported for CBTI and other behavioral treatments in older adults.24,45,48 For instance, a meta-analysis of CBTI and behavioral interventions for insomnia in older adults reported mean effects sizes of 0.60, 0.51, 0.19, 0.38, and 0.73 for diary outcomes of sleep quality, SOL, TST, SE, and WASO, respectively.21 Corresponding values in the current study were 0.62, 0.96, 0.13, 0.80, and 0.59, respectively. Like most CBTI studies, we found an initial reduction in TST concurrent with improvements in SE and other sleep ratings. The TST increased at 6-month follow-up, when initial sleep restriction was relaxed. The magnitude of BBTI effects is also similar to that found for BZRA medications.49 We did not observe the significant treatment effects on PSG observed in some behavioral treatment studies.45,50,51This could result from the shorter duration of BBTI compared with CBTI or from differences in participant age, inclusion criteria, sampling strategies and biases, acute treatment duration, and the use of laboratory vs in-home PSG.52,53 Actigraphy and in-home PSG relied in part on self-reported data to identify bed time, which could lead to some inaccuracy in these “objective” measures. In our study as in most others, both sleep disturbances and treatment improvement were larger for self-reports than for PSG measures in patients with insomnia23,54; this discrepancy may be a fundamental characteristic of insomnia.55

Currently, there are no universally accepted criteria for categorical treatment outcomes in insomnia studies.46 Our criteria included a general measure of sleep quality (PSQI) and a widely used summary sleep diary metric in behavioral treatment studies of insomnia (SE). The magnitude of change used to define response corresponded to a large effect size, was consistent with changes reported in published studies, and corresponded to the minimally important difference in the ISI (eAppendix). Other categorical treatment outcomes, such as 50% reduction in sleep diary values50 or changes in the ISI score to “normal” values, have been used in other studies.51 Our acute response and remission rates (41% [n = 16] and 26% [n = 10]) were lower than those found in studies using the ISI as an outcome measure in a 6-week CBTI study (59.5 and 39%)51 but similar to those reported in a study of older adults using 85% diary SE as a criterion.45 Our study may have underestimated treatment effects because we did not alter the 1-month reporting frame of the PSQI for posttreatment outcomes. However, confidence in our outcomes is increased by convergent findings when we used the presence or absence of insomnia diagnosis as a criterion.

Our findings can also be placed in the context of other studies aimed at the dissemination of behavioral insomnia treatments. The magnitude of observed sleep diary changes was comparable to magnitudes reported for an abbreviated form of CBTI in a primary care,56 group CBTI delivered in primary care practices,57,58 and CBTI provided to patients with medical comorbidities.59 Brief, nurse-administered behavioral and cognitive behavioral treatments appear to be feasible and efficacious for older adults with comorbid insomnia. Other novel forms of behavioral treatment delivery such as Internet programs may also be efficacious.60 Thus, a range of options is now available to administer behavioral treatments for insomnia across a range of clinical settings.

Although BBTI shares many features with other behavioral insomnia treatments, some particular features make it an especially attractive option. First, it has a strong behavioral focus, which may avoid some of the perceived stigma associated with “psychological” treatments in medical settings. Second, it is overtly linked to a physiologic model of sleep regulation,28 which provides a sound empirical rationale for both patients and physicians. Third, it provides patients with a workbook and specific written prescriptions for sleep behaviors. Fourth, it is simple enough to be taught in a short amount of time to nurses, who are often responsible for behavioral health management in primary care offices. Finally, it appears to have comparable efficacy to established treatments. Thus, BBTI possesses efficacy, efficiency, and acceptability—3 characteristics of a successful “entry level” treatment in a stepped care approach to behavioral management of insomnia.61

Strengths of this study included convergent self-report, observer-rated, and physiologic outcomes and a sample that is generalizable to practice settings. Limitations included a control condition that was not matched for therapist time, the use of a single therapist for both conditions, or a limited follow-up interval. The control condition was selected to represent an ecologically valid comparison for primary care settings, where sleep and insomnia are infrequently addressed and behavioral treatment is rarely available. The use of a single therapist was likely to be less problematic for a control condition that, by design, consisted of self-education. Finally, longer follow-up in both intervention groups might have been informative. Our follow-up strategy was based on our conceptual model of insomnia treatment in primary care: if behavioral treatment cannot be delivered in a brief format with rapid results, patients are likely to proceed to pharmacologic treatment. Finally, 68% of our insomnia patients had an apnea-hypoxia index higher than 5, raising the possibility that treatment for apnea could further enhance outcomes.

In summary, BBTI produced statistically and clinically meaningful improvements that were sustained for 6 months. Future studies should examine the feasibility of educating nurses and other health professionals in BBTI and the effectiveness of BBTI delivered in actual practice settings on symptom-based, functional, and health care economic outcomes.

Correspondence: Daniel J. Buysse, MD, 3811 O’Hara St, E-1127, Pittsburgh, PA 15213 (buyssedj@upmc.edu).

Accepted for Publication: November 7, 2010.

Published Online: January 24, 2011. doi:10.1001/archinternmed.2010.535

Author Contributions: Dr Buysse had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Buysse, Germain, Moul, and Monk. Acquisition of data: Buysse, Germain, Moul, Franzen, Brar, and Fletcher. Analysis and interpretation of data: Buysse, Germain, Moul, Franzen, Fletcher, Begley, Houck, Mazumdar, Reynolds, and Monk. Drafting of the manuscript: Buysse, Germain, Franzen, Fletcher, Begley, Houck, Reynolds, and Monk. Critical revision of the manuscript for important intellectual content: Moul, Franzen, Brar, and Mazumdar. Statistical analysis: Begley, Houck, and Mazumdar. Obtained funding: Buysse, Reynolds, and Monk. Administrative, technical, and material support: Germain, Moul, Franzen, Fletcher, and Monk. Study supervision: Germain and Moul.

Financial Disclosure: Dr Buysse has served as a paid consultant and/or has received compensation for continuing medical education activities indirectly sponsored by Actelion, Cephalon, Eli Lilly, Eisai, GlaxoSmithKline, Merck, Neurocrine, Neurogen, Pfizer, Philips, Purdue Pharma, Sanofi-Aventis, Sepracor, Servier, Somnus Therapeutics, Takeda, and Transcept. Dr Reynolds has received pharmaceutical supplies for his National Institutes of Health (NIH)-sponsored work from Forest Laboratories, Bristol-Myers Squibb, Eli Lilly, and Pfizer.

Funding/Support: This work was supported by NIH grants AG020677, AG000972, and RR024153 (University of Pittsburgh Clinical and Translational Science Award).

Role of the Sponsor: The sponsors had no role in the design and conduct of the study or the preparation, review, or approval of the manuscript.

Disclaimer: This content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Aging (NIA) or the National Center for Research Resources (NCRR).

Previous Presentations: Portions of this work were presented as abstracts and posters at the Associated Professional Sleep Societies SLEEP Meetings; June 17-22, 2006; Salt Lake City, Utah; June 7-12, 2008; Baltimore, Maryland; and June 6-11, 2009; Seattle, Washington.

Online-Only Material: The eAppendix, eTable 1, and eTable 2 are available at http://www.archinternmed.com.

Additional Contributions: The staff at the Neuroscience Clinical and Translational Research Center of the University of Pittsburgh Clinical and Translational Research Center conducted the polysomnographic studies. The physicians and staff at Partners in Health, where many of the participants were recruited and studied, provided valuable assistance. Finally, we thank the participants for allowing us to work with them on this study.

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PubMed
Irwin  MRCole  JCNicassio  PM Comparative meta-analysis of behavioral interventions for insomnia and their efficacy in middle-aged adults and in older adults 55+ years of age. Health Psychol 2006;25 (1) 3- 14
PubMed Link to Article
Germain  AMoul  DEFranzen  PL  et al.  Effects of a brief behavioral treatment for late-life insomnia: preliminary findings. J Clin Sleep Med 2006;2 (4) 403- 406
PubMed
National Institutes of Health, NIH state-of-the-science conference statement on manifestations and management of chronic insomnia in adults. http://consensus.nih.gov/2005/insomniastatement.pdf. Accessed November 6, 2010
Kroenke  KSpitzer  R The PHQ-9: a new depression and diagnostic severity measure. Psychiatr Ann 2002;32 (9) 509- 521
Link to Article
Borbely  AAAchermann  P Sleep homeostasis and models of sleep regulation. Kryger  MHRoth  TDement  WCPrinciples and Practice of Sleep Medicine. 3rd ed. Philadelphia, PA W.B. Saunders Co2000;377- 390
Morin  CMCulbert  JPSchwartz  SM Nonpharmacological interventions for insomnia: a meta-analysis of treatment efficacy. Am J Psychiatry 1994;151 (8) 1172- 1180
PubMed
American Academy of Sleep Medicine, Insomnia: The Inability to Fall Asleep or Stay Asleep.  Westchester, IL American Academy of Sleep Medicine2000;
American Academy of Sleep Medicine, Sleep as We Grow Older: Learning How Aging Affects Sleep.  Westchester, IL American Academy of Sleep Medicine2001;
American Academy of Sleep Medicine, Sleep Hygiene: Behaviors That Promote Sound Sleep.  Westchester, IL American Academy of Sleep Medicine2002;
Adler  NEEpel  ESCastellazzo  GIckovics  JR Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy white women. Health Psychol 2000;19 (6) 586- 592
PubMed Link to Article
Adler  NSingh-Manoux  ASchwartz  JStewart  JMatthews  KMarmot  MG Social status and health: a comparison of British civil servants in Whitehall-II with European- and African-Americans in CARDIA. Soc Sci Med 2008;66 (5) 1034- 1045
PubMed Link to Article
Charlson  MEPompei  PAles  KLMacKenzie  CR A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40 (5) 373- 383
PubMed Link to Article
Katz  JNChang  LCSangha  OFossel  AHBates  DW Can comorbidity be measured by questionnaire rather than medical record review? Med Care 1996;34 (1) 73- 84
PubMed Link to Article
Ware  JE  JrSherbourne  CD The MOS 36-item short-form health survey (SF-36), I: conceptual framework and item selection. Med Care 1992;30 (6) 473- 483
PubMed Link to Article
Ware  JESnow  KKKosinski  M SF-36 Health Survey: Manual and Interpretation Guide.  Boston, MA Health Institute, New England Medical Center1993;
Hamilton  M A rating scale for depression. J Neurol Neurosurg Psychiatry 1960;2356- 62
PubMed
Hamilton  M The assessment of anxiety states by rating. Br J Med Psychol 1959;32 (1) 50- 55
PubMed Link to Article
Folstein  MFFolstein  SEMcHugh  PR “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12 (3) 189- 198
PubMed Link to Article
Buysse  DJReynolds  CF  IIIMonk  THBerman  SRKupfer  DJ The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 1989;28 (2) 193- 213
PubMed Link to Article
Johns  MW A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 1991;14 (6) 540- 545
PubMed
Monk  THReynolds  CFKupfer  DJ  et al.  The Pittsburgh Sleep Diary. J Sleep Res 1994;3 (2) 111- 120
PubMed Link to Article
Morin  CMColecchi  CStone  JSood  RKBrink  D Behavioral and pharmacological therapies for late-life insomnia: a randomized controlled trial. JAMA 1999;281 (11) 991- 999
PubMed Link to Article
Buysse  DJAncoli-Israel  SEdinger  JDLichstein  KLMorin  CM Recommendations for a standard research assessment of insomnia. Sleep 2006;29 (9) 1155- 1173
PubMed
Yang  MMorin  CMSchaefer  KWallenstein  GV Interpreting score differences in the Insomnia Severity Index: using health-related outcomes to define the minimally important difference. Curr Med Res Opin 2009;25 (10) 2487- 2494
PubMed Link to Article
Lichstein  KLRiedel  BWWilson  NMLester  KWAguillard  RN Relaxation and sleep compression for late-life insomnia: a placebo-controlled trial. J Consult Clin Psychol 2001;69 (2) 227- 239
PubMed Link to Article
Nowell  PDMazumdar  SBuysse  DJDew  MAReynolds  CF  IIIKupfer  DJ Benzodiazepines and zolpidem for chronic insomnia: a meta-analysis of treatment efficacy. JAMA 1997;278 (24) 2170- 2177
PubMed Link to Article
Edinger  JDWohlgemuth  WKRadtke  RAMarsh  GRQuillian  RE Cognitive behavioral therapy for treatment of chronic primary insomnia: a randomized controlled trial. JAMA 2001;285 (14) 1856- 1864
PubMed Link to Article
Morin  CMVallières  AGuay  B  et al.  Cognitive behavioral therapy, singly and combined with medication, for persistent insomnia: a randomized controlled trial. JAMA 2009;301 (19) 2005- 2015
PubMed Link to Article
Edinger  JDFins  AISullivan  RJ  Jr  et al.  Sleep in the laboratory and sleep at home: comparisons of older insomniacs and normal sleepers. Sleep 1997;20 (12) 1119- 1126
PubMed
Edinger  JDGlenn  DMBastian  LA  et al.  Sleep in the laboratory and sleep at home II: comparisons of middle-aged insomnia sufferers and normal sleepers. Sleep 2001;24 (7) 761- 770
PubMed
Buysse  DJGermain  AHall  ML  et al.  EEG spectral analysis in primary insomnia: NREM period effects and sex differences. Sleep 2008;31 (12) 1673- 1682
PubMed
Manconi  MFerri  RSagrada  C  et al.  Measuring the error in sleep estimation in normal subjects and in patients with insomnia. J Sleep Res 2010;19 (3) 478- 486
PubMed Link to Article
Edinger  JDSampson  WS A primary care “friendly” cognitive behavioral insomnia therapy. Sleep 2003;26 (2) 177- 182
PubMed
Espie  CAInglis  SJTessier  SHarvey  L The clinical effectiveness of cognitive behaviour therapy for chronic insomnia: implementation and evaluation of a sleep clinic in general medical practice. Behav Res Ther 2001;39 (1) 45- 60
PubMed Link to Article
Espie  CAMacMahon  KMKelly  HL  et al.  Randomized clinical effectiveness trial of nurse-administered small-group cognitive behavior therapy for persistent insomnia in general practice. Sleep 2007;30 (5) 574- 584
PubMed
Rybarczyk  BStepanski  EFogg  LLopez  MBarry  PDavis  A A placebo-controlled test of cognitive-behavioral therapy for comorbid insomnia in older adults. J Consult Clin Psychol 2005;73 (6) 1164- 1174
PubMed Link to Article
Ritterband  LMThorndike  FPGonder-Frederick  LA  et al.  Efficacy of an Internet-based behavioral intervention for adults with insomnia. Arch Gen Psychiatry 2009;66 (7) 692- 698
PubMed Link to Article
Espie  CA “Stepped care”: a health technology solution for delivering cognitive behavioral therapy as a first line insomnia treatment. Sleep 2009;32 (12) 1549- 1558
PubMed

Figures

Place holder to copy figure label and caption
Figure 1.

Study flowchart.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 2.

Categorical treatment outcomes. A, Outcomes for participants assigned to the brief behavioral treatment for insomnia (BBTI) and IC groups (χ2 = 13.8, P < .001). See the “Methods” section for definitions. B, Percentages of participants in each group who no longer met the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision)2 and/or International Classification of Sleep Disorders (Second Edition)1 criteria for insomnia after treatment (χ2 = 15.5, P < .001). See the “Methods” section for details.

Graphic Jump Location

Tables

Table Graphic Jump LocationTable 1. Baseline Demographic and Clinical Characteristicsa
Table Graphic Jump LocationTable 2. General Clinical and Sleep Measures

References

American Academy of Sleep Medicine, The International Classification of Sleep Disorders: Diagnostic and Coding Manual. 2nd ed. Darien, IL American Academy of Sleep Medicine2005;
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR). 4th edText Revision. Washington, DC American Psychiatric Association2000;
Ohayon  MM Epidemiology of insomnia: what we know and what we still need to learn. Sleep Med Rev 2002;6 (2) 97- 111
PubMed Link to Article
Shochat  TUmphress  JIsrael  AGAncoli-Israel  S Insomnia in primary care patients. Sleep 1999;22 ((suppl 2)) S359- S365
PubMed
Simon  GEVonKorff  M Prevalence, burden, and treatment of insomnia in primary care. Am J Psychiatry 1997;154 (10) 1417- 1423
PubMed
Taylor  DJMallory  LJLichstein  KLDurrence  HHRiedel  BWBush  AJ Comorbidity of chronic insomnia with medical problems. Sleep 2007;30 (2) 213- 218
PubMed
Morin  CMBélanger  LLeBlanc  M  et al.  The natural history of insomnia: a population-based 3-year longitudinal study. Arch Intern Med 2009;169 (5) 447- 453
PubMed Link to Article
Buysse  DJGermain  AMoul  DE Diagnosis, epidemiology and consequences of insomnia. Prim Psychiatry 2005;12 (8) 37- 44
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PubMed
Avidan  AYFries  BEJames  MLSzafara  KLWright  GTChervin  RD Insomnia and hypnotic use, recorded in the minimum data set, as predictors of falls and hip fractures in Michigan nursing homes. J Am Geriatr Soc 2005;53 (6) 955- 962
PubMed Link to Article
Bliwise  DL Normal aging. Kryger  MHRoth  TDement  WCPrinciples and Practice of Sleep Medicine. 4th ed. Philadelphia, PA Elsevier Saunders2005;
Aparasu  RRMort  JRBrandt  H Psychotropic prescription use by community-dwelling elderly in the United States. J Am Geriatr Soc 2003;51 (5) 671- 677
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Bloom  HGAhmed  IAlessi  CA  et al.  Evidence-based recommendations for the assessment and management of sleep disorders in older persons. J Am Geriatr Soc 2009;57 (5) 761- 789
PubMed Link to Article
Glass  JLanctôt  KLHerrmann  NSproule  BABusto  UE Sedative hypnotics in older people with insomnia: meta-analysis of risks and benefits. BMJ 2005;331 (7526) 1169
PubMed Link to Article
Schutte-Rodin  SBroch  LBuysse  DDorsey  CSateia  M Clinical guideline for the evaluation and management of chronic insomnia in adults. J Clin Sleep Med 2008;4 (5) 487- 504
PubMed
Smith  MTPerlis  MLPark  A  et al.  Comparative meta-analysis of pharmacotherapy and behavior therapy for persistent insomnia. Am J Psychiatry 2002;159 (1) 5- 11
PubMed Link to Article
Krystal  ADWalsh  JKLaska  E  et al.  Sustained efficacy of eszopiclone over 6 months of nightly treatment: results of a randomized, double-blind, placebo-controlled study in adults with chronic insomnia. Sleep 2003;26 (7) 793- 799
PubMed
Krystal  ADErman  MZammit  GKSoubrane  CRoth  TZOLONG Study Group, Long-term efficacy and safety of zolpidem extended-release 12.5 mg, administered 3 to 7 nights per week for 24 weeks, in patients with chronic primary insomnia: a 6-month, randomized, double-blind, placebo-controlled, parallel-group, multicenter study. Sleep 2008;31 (1) 79- 90
PubMed
Goodwin  RDHasin  DS Sedative use and misuse in the United States. Addiction 2002;97 (5) 555- 562
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Woolcott  JCRichardson  KJWiens  MO  et al.  Meta-analysis of the impact of 9 medication classes on falls in elderly persons. Arch Intern Med 2009;169 (21) 1952- 1960
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PubMed Link to Article
Morin  CMGaulier  BBarry  TKowatch  RA Patients' acceptance of psychological and pharmacological therapies for insomnia. Sleep 1992;15 (4) 302- 305
PubMed
Morin  CMBootzin  RRBuysse  DJEdinger  JDEspie  CALichstein  KL Psychological and behavioral treatment of insomnia: update of the recent evidence (1998-2004). Sleep 2006;29 (11) 1398- 1414
PubMed
Irwin  MRCole  JCNicassio  PM Comparative meta-analysis of behavioral interventions for insomnia and their efficacy in middle-aged adults and in older adults 55+ years of age. Health Psychol 2006;25 (1) 3- 14
PubMed Link to Article
Germain  AMoul  DEFranzen  PL  et al.  Effects of a brief behavioral treatment for late-life insomnia: preliminary findings. J Clin Sleep Med 2006;2 (4) 403- 406
PubMed
National Institutes of Health, NIH state-of-the-science conference statement on manifestations and management of chronic insomnia in adults. http://consensus.nih.gov/2005/insomniastatement.pdf. Accessed November 6, 2010
Kroenke  KSpitzer  R The PHQ-9: a new depression and diagnostic severity measure. Psychiatr Ann 2002;32 (9) 509- 521
Link to Article
Borbely  AAAchermann  P Sleep homeostasis and models of sleep regulation. Kryger  MHRoth  TDement  WCPrinciples and Practice of Sleep Medicine. 3rd ed. Philadelphia, PA W.B. Saunders Co2000;377- 390
Morin  CMCulbert  JPSchwartz  SM Nonpharmacological interventions for insomnia: a meta-analysis of treatment efficacy. Am J Psychiatry 1994;151 (8) 1172- 1180
PubMed
American Academy of Sleep Medicine, Insomnia: The Inability to Fall Asleep or Stay Asleep.  Westchester, IL American Academy of Sleep Medicine2000;
American Academy of Sleep Medicine, Sleep as We Grow Older: Learning How Aging Affects Sleep.  Westchester, IL American Academy of Sleep Medicine2001;
American Academy of Sleep Medicine, Sleep Hygiene: Behaviors That Promote Sound Sleep.  Westchester, IL American Academy of Sleep Medicine2002;
Adler  NEEpel  ESCastellazzo  GIckovics  JR Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy white women. Health Psychol 2000;19 (6) 586- 592
PubMed Link to Article
Adler  NSingh-Manoux  ASchwartz  JStewart  JMatthews  KMarmot  MG Social status and health: a comparison of British civil servants in Whitehall-II with European- and African-Americans in CARDIA. Soc Sci Med 2008;66 (5) 1034- 1045
PubMed Link to Article
Charlson  MEPompei  PAles  KLMacKenzie  CR A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40 (5) 373- 383
PubMed Link to Article
Katz  JNChang  LCSangha  OFossel  AHBates  DW Can comorbidity be measured by questionnaire rather than medical record review? Med Care 1996;34 (1) 73- 84
PubMed Link to Article
Ware  JE  JrSherbourne  CD The MOS 36-item short-form health survey (SF-36), I: conceptual framework and item selection. Med Care 1992;30 (6) 473- 483
PubMed Link to Article
Ware  JESnow  KKKosinski  M SF-36 Health Survey: Manual and Interpretation Guide.  Boston, MA Health Institute, New England Medical Center1993;
Hamilton  M A rating scale for depression. J Neurol Neurosurg Psychiatry 1960;2356- 62
PubMed
Hamilton  M The assessment of anxiety states by rating. Br J Med Psychol 1959;32 (1) 50- 55
PubMed Link to Article
Folstein  MFFolstein  SEMcHugh  PR “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12 (3) 189- 198
PubMed Link to Article
Buysse  DJReynolds  CF  IIIMonk  THBerman  SRKupfer  DJ The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 1989;28 (2) 193- 213
PubMed Link to Article
Johns  MW A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 1991;14 (6) 540- 545
PubMed
Monk  THReynolds  CFKupfer  DJ  et al.  The Pittsburgh Sleep Diary. J Sleep Res 1994;3 (2) 111- 120
PubMed Link to Article
Morin  CMColecchi  CStone  JSood  RKBrink  D Behavioral and pharmacological therapies for late-life insomnia: a randomized controlled trial. JAMA 1999;281 (11) 991- 999
PubMed Link to Article
Buysse  DJAncoli-Israel  SEdinger  JDLichstein  KLMorin  CM Recommendations for a standard research assessment of insomnia. Sleep 2006;29 (9) 1155- 1173
PubMed
Yang  MMorin  CMSchaefer  KWallenstein  GV Interpreting score differences in the Insomnia Severity Index: using health-related outcomes to define the minimally important difference. Curr Med Res Opin 2009;25 (10) 2487- 2494
PubMed Link to Article
Lichstein  KLRiedel  BWWilson  NMLester  KWAguillard  RN Relaxation and sleep compression for late-life insomnia: a placebo-controlled trial. J Consult Clin Psychol 2001;69 (2) 227- 239
PubMed Link to Article
Nowell  PDMazumdar  SBuysse  DJDew  MAReynolds  CF  IIIKupfer  DJ Benzodiazepines and zolpidem for chronic insomnia: a meta-analysis of treatment efficacy. JAMA 1997;278 (24) 2170- 2177
PubMed Link to Article
Edinger  JDWohlgemuth  WKRadtke  RAMarsh  GRQuillian  RE Cognitive behavioral therapy for treatment of chronic primary insomnia: a randomized controlled trial. JAMA 2001;285 (14) 1856- 1864
PubMed Link to Article
Morin  CMVallières  AGuay  B  et al.  Cognitive behavioral therapy, singly and combined with medication, for persistent insomnia: a randomized controlled trial. JAMA 2009;301 (19) 2005- 2015
PubMed Link to Article
Edinger  JDFins  AISullivan  RJ  Jr  et al.  Sleep in the laboratory and sleep at home: comparisons of older insomniacs and normal sleepers. Sleep 1997;20 (12) 1119- 1126
PubMed
Edinger  JDGlenn  DMBastian  LA  et al.  Sleep in the laboratory and sleep at home II: comparisons of middle-aged insomnia sufferers and normal sleepers. Sleep 2001;24 (7) 761- 770
PubMed
Buysse  DJGermain  AHall  ML  et al.  EEG spectral analysis in primary insomnia: NREM period effects and sex differences. Sleep 2008;31 (12) 1673- 1682
PubMed
Manconi  MFerri  RSagrada  C  et al.  Measuring the error in sleep estimation in normal subjects and in patients with insomnia. J Sleep Res 2010;19 (3) 478- 486
PubMed Link to Article
Edinger  JDSampson  WS A primary care “friendly” cognitive behavioral insomnia therapy. Sleep 2003;26 (2) 177- 182
PubMed
Espie  CAInglis  SJTessier  SHarvey  L The clinical effectiveness of cognitive behaviour therapy for chronic insomnia: implementation and evaluation of a sleep clinic in general medical practice. Behav Res Ther 2001;39 (1) 45- 60
PubMed Link to Article
Espie  CAMacMahon  KMKelly  HL  et al.  Randomized clinical effectiveness trial of nurse-administered small-group cognitive behavior therapy for persistent insomnia in general practice. Sleep 2007;30 (5) 574- 584
PubMed
Rybarczyk  BStepanski  EFogg  LLopez  MBarry  PDavis  A A placebo-controlled test of cognitive-behavioral therapy for comorbid insomnia in older adults. J Consult Clin Psychol 2005;73 (6) 1164- 1174
PubMed Link to Article
Ritterband  LMThorndike  FPGonder-Frederick  LA  et al.  Efficacy of an Internet-based behavioral intervention for adults with insomnia. Arch Gen Psychiatry 2009;66 (7) 692- 698
PubMed Link to Article
Espie  CA “Stepped care”: a health technology solution for delivering cognitive behavioral therapy as a first line insomnia treatment. Sleep 2009;32 (12) 1549- 1558
PubMed

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Efficacy of Brief Behavioral Treatment for Chronic Insomnia in Older Adults
Arch Intern Med.2011;171(10):887-895.eSupplement

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eAppendix. Efficacy of Brief Behavioral Treatment for Chronic Insomnia in Older Adults

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