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Meshberg-Cohen S, Cook JM, Bin-Mahfouz A, Petrakis IL. Written exposure therapy for veterans with co-occurring substance use disorders and PTSD: Study design of a randomized clinical trial. Contemp Clin Trials 2024; 139:107475. [PMID: 38365173 DOI: 10.1016/j.cct.2024.107475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/01/2024] [Accepted: 02/13/2024] [Indexed: 02/18/2024]
Abstract
There are high rates of posttraumatic stress disorder (PTSD) among treatment-seeking veterans with substance use disorders (SUD). While addiction programs traditionally do not address PTSD, there is evidence that trauma treatments for individuals with this comorbidity have improved PTSD and SUD outcomes. Written exposure therapy (WET), a five-session evidence-based psychotherapy (EBP) for PTSD, has high patient satisfaction, and lower dropout compared to other EBPs for PTSD. WET may be ideally suited for clinical settings that may not have the trauma expertise found in PTSD specialty clinics, given it requires less training time, treatment sessions, preparation time, and therapist involvement than existing EBPs, and no homework assignments. This paper describes the design, methodology, and protocol of a randomized clinical trial to evaluate whether treatment as usual (TAU) plus WET (n = 51) is superior to TAU plus a neutral topic writing condition (n = 51) on both PTSD and addiction outcomes for veterans in SUD treatment. The primary hypothesis is that participants assigned to TAU+WET, compared to those in TAU+ neutral topic writing, will report reduced symptoms of PTSD. The secondary hypothesis is that veterans receiving WET will have greater decreases in number of days of substance use compared to TAU+ neutral topic controls at follow-up. Assessments will take place at baseline, post-treatment, 8-week, and 12-week follow-up. Exploratory aims will examine the association between heart rate variability and treatment outcomes. If results prove promising, they will support WET as an effective brief, easy to disseminate, adjunct to current SUD treatment for veterans with comorbid PTSD. Trial registration: ClinicalTrials.gov ID NCT05327504.
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Affiliation(s)
- Sarah Meshberg-Cohen
- Yale University School of Medicine, Department of Psychiatry, United States of America; VA Connecticut Healthcare System, United States of America.
| | - Joan M Cook
- Yale University School of Medicine, Department of Psychiatry, United States of America
| | - Amirah Bin-Mahfouz
- Yale University School of Medicine, Department of Psychiatry, United States of America; VA Connecticut Healthcare System, United States of America
| | - Ismene L Petrakis
- Yale University School of Medicine, Department of Psychiatry, United States of America; VA Connecticut Healthcare System, United States of America
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Pruiksma KE, Taylor DJ, Wachen JS, Straud CL, Hale WJ, Mintz J, Young-McCaughan S, Peterson AL, Yarvis JS, Borah EV, Dondanville KA, Litz BT, Resick PA. Self-reported sleep problems in active-duty US Army personnel receiving posttraumatic stress disorder treatment in group or individual formats: secondary analysis of a randomized clinical trial. J Clin Sleep Med 2023; 19:1389-1398. [PMID: 36988304 PMCID: PMC10394372 DOI: 10.5664/jcsm.10584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 03/07/2023] [Accepted: 03/08/2023] [Indexed: 03/30/2023]
Abstract
STUDY OBJECTIVES Sleep disturbances are common in military personnel with posttraumatic stress disorder (PTSD) and may persist following treatment. This study examined service members seeking treatment for PTSD, reporting insomnia symptoms, nightmares, excessive daytime sleepiness, and potential obstructive sleep apnea at baseline and the impact of sleep disturbances on a course of PTSD treatment. METHODS In this secondary analysis, sleep was evaluated in 223 service members who participated in a randomized clinical trial comparing Cognitive Processing Therapy for PTSD delivered in individual or group formats. Sleep assessments included the Insomnia Severity Index, the Trauma-Related Nightmare Survey, and Epworth Sleepiness Scale administered at baseline and 2 weeks posttreatment. RESULTS Following PTSD treatment, there were significant improvements for insomnia symptoms (MΔ = -1.49; d = -0.27), nightmares (MΔ = -0.35; d = -0.27), and excessive daytime sleepiness (MΔ = -0.91; d = -0.16). However, mean scores remained in clinical ranges at posttreatment. Participants with baseline insomnia symptoms had worse PTSD severity throughout treatment. Participants with baseline excessive daytime sleepiness or probable obstructive sleep apnea had greater PTSD severity reductions when treated with Cognitive Processing Therapy individually vs. in a group. Those with insomnia symptoms, nightmare disorder, and sleep apnea had greater depressive symptoms throughout treatment. CONCLUSIONS Insomnia symptoms, nightmares, and excessive daytime sleepiness were high at baseline in service members seeking treatment for PTSD. While sleep symptoms improved with PTSD treatment, these sleep disorders were related to worse treatment outcomes with regards to symptoms of PTSD and depression. Individual Cognitive Processing Therapy is recommended over group Cognitive Processing Therapy for patients with either excessive daytime sleepiness or probable obstructive sleep apnea. CLINICAL TRIAL REGISTRATION Registry: ClinicalTrials.gov; Name: Group vs. Individual Cognitive Processing Therapy for Combat-related PTSD; URL: https://clinicaltrials.gov/ct2/show/NCT02173561; Identifier: NCT02173561. CITATION Puriksma KE, Taylor DJ, Wachen JS, et al. Self-reported sleep problems in active-duty US Army personnel receiving posttraumatic stress disorder treatment in group or individual formats: secondary analysis of a randomized clinical trial. J Clin Sleep Med. 2023;19(8):1389-1398.
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Affiliation(s)
- Kristi E. Pruiksma
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
- Research and Development Service, South Texas Veterans Health Care System, San Antonio, Texas
| | - Daniel J. Taylor
- Department of Psychology, University of Arizona, Tucson, Arizona
- Department of Psychology, University of North Texas, Denton, Texas
| | - Jennifer Schuster Wachen
- Women’s Health Sciences Division, National Center for PTSD at VA Boston Healthcare System, Boston, Massachusetts
- Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
| | - Casey L. Straud
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
- Research and Development Service, South Texas Veterans Health Care System, San Antonio, Texas
- Department of Psychology, University of Texas at San Antonio, San Antonio, Texas
| | - Willie J. Hale
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
- Department of Psychology, University of Texas at San Antonio, San Antonio, Texas
| | - Jim Mintz
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
- Research and Development Service, South Texas Veterans Health Care System, San Antonio, Texas
- Department of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - Stacey Young-McCaughan
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
- Research and Development Service, South Texas Veterans Health Care System, San Antonio, Texas
| | - Alan L. Peterson
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
- Research and Development Service, South Texas Veterans Health Care System, San Antonio, Texas
- Department of Psychology, University of Texas at San Antonio, San Antonio, Texas
| | - Jeffrey S. Yarvis
- Department of Behavioral Health, Carl R. Darnall Army Medical Center, Fort Hood, Texas
- School of Social Work, Tulane University, New Orleans, Louisiana
| | - Elisa V. Borah
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
- School of Social Work, University of Texas at Austin, Austin, Texas
| | - Katherine A. Dondanville
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - Brett T. Litz
- Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts
| | - Patricia A. Resick
- Department of Psychiatry and Behavioral Sciences, Duke Health, Durham, North Carolina
| | - on behalf of the STRONG STAR Consortium
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
- Research and Development Service, South Texas Veterans Health Care System, San Antonio, Texas
- Department of Psychology, University of Arizona, Tucson, Arizona
- Department of Psychology, University of North Texas, Denton, Texas
- Women’s Health Sciences Division, National Center for PTSD at VA Boston Healthcare System, Boston, Massachusetts
- Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
- Department of Psychology, University of Texas at San Antonio, San Antonio, Texas
- Department of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas
- Department of Behavioral Health, Carl R. Darnall Army Medical Center, Fort Hood, Texas
- School of Social Work, Tulane University, New Orleans, Louisiana
- School of Social Work, University of Texas at Austin, Austin, Texas
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts
- Department of Psychiatry and Behavioral Sciences, Duke Health, Durham, North Carolina
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Hunt C, Park J, Bomyea J, Colvonen PJ. Sleep efficiency predicts improvements in fear extinction and PTSD symptoms during prolonged exposure for veterans with comorbid insomnia. Psychiatry Res 2023; 324:115216. [PMID: 37099850 PMCID: PMC10395069 DOI: 10.1016/j.psychres.2023.115216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/03/2023] [Accepted: 04/20/2023] [Indexed: 04/28/2023]
Abstract
Prolonged exposure (PE) is an evidenced-based psychotherapy for PTSD, but many Veterans fail to achieve a clinically meaningful response. Sleep issues are prevalent in Veterans and may interfere with PE by disrupting the learning and consolidation of fear extinction memories during PE exposures. Here, we examined whether changes in fear extinction across imaginal exposures and PTSD symptoms during PE were predicted by diary-assessed levels of nightly sleep efficiency (SE; i.e., percent of time in bed spent sleeping), which may indirectly index sleep fragmentation and sleep-facilitated memory processes. Participants were Veterans with PTSD and comorbid insomnia (N = 40) participating in a clinical trial of cognitive-behavioral therapy for insomnia plus PE. SE was measured via nightly sleep diaries, fear extinction was operationalized as a reduction in peak distress between weekly imaginal exposures, and PTSD symptoms were assessed bi-weekly. Cross-lagged panel models revealed that higher sleep efficiency during the week predicted lower peak distress at the subsequent imaginal exposure and lower PTSD symptoms at the subsequent assessment, whereas PTSD symptoms and peak distress did not predict subsequent sleep efficiency. Efficient sleep may facilitate fear extinction and PTSD reduction during PE. Targeting sleep efficiency could improve PE effectiveness for Veterans with comorbid insomnia.
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Affiliation(s)
- Christopher Hunt
- VA San Diego Healthcare System, San Diego, CA, United States of America; Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States of America.
| | - Jane Park
- VA San Diego Healthcare System, San Diego, CA, United States of America; Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States of America
| | - Jessica Bomyea
- VA San Diego Healthcare System, San Diego, CA, United States of America; Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States of America
| | - Peter J Colvonen
- VA San Diego Healthcare System, San Diego, CA, United States of America; Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States of America
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Objective sleep outcomes in randomized-controlled trials in persons with substance use disorders: A systematic review. Drug Alcohol Depend 2022; 237:109509. [PMID: 35660222 DOI: 10.1016/j.drugalcdep.2022.109509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 05/16/2022] [Accepted: 05/18/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Improving sleep health is an important target for substance use disorder (SUD) research. However, there is little guidance for SUD researchers regarding the use of technologies to objectively assess sleep outcomes in randomized-controlled trials (RCTs). This systematic review aimed to describe the use of technologies to objectively measure sleep outcomes in RCTs conducted in persons with SUDs, in order to inform future sleep intervention studies in SUD populations. METHODS This study was registered in the International Prospective Register of Systematic Reviews (PROSPERO) on May 7th, 2020 (CRD42020182004). RCTs were reviewed here if they were peer-reviewed manuscripts that included objective measures of sleep in RCTs that sought to improve sleep in persons with SUDs. RESULTS The initial search yielded 13,403 potential articles, with 27 meeting a priori criteria to be included in this review. The most common SUD was alcohol use disorder (59%). The most common technology used to assess sleep was polysomnography (41%), followed by actigraphy (37%), ambulatory polysomnography or components of polysomnography (e.g., electroencephalography; 19%), and at-home sleep apnea testing (7%). The most common sleep outcome reported was total sleep time (96%). CONCLUSIONS There are a range of options to assess objective sleep outcomes. Polysomnography or ambulatory devices that directly measure brain activity are critical to advance medications through the regulatory process for the indication of improving sleep duration, continuity, and/or sleep onset latency outcomes. Actigraphy is also useful in preliminary investigations and in detecting the relationship between diurnal and SUD-related behaviors.
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Huhn AS, Ellis JD, Dunn KE, Sholler DJ, Tabaschek P, Burns R, Strain EC. Patient-reported sleep outcomes in randomized-controlled trials in persons with substance use disorders: A systematic review. Drug Alcohol Depend 2022; 237:109508. [PMID: 35660223 DOI: 10.1016/j.drugalcdep.2022.109508] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 05/18/2022] [Accepted: 05/18/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Sleep disturbances and disorders are a common and sometimes recalcitrant problem in persons recovering from substance use disorders (SUDs). As such, several randomized-controlled trials (RCTs) have been conducted to address sleep disturbances in a variety of SUD subpopulations and clinical scenarios. The goal of this systematic review was to collate patient-reported sleep outcomes used in past SUD-related RCTs to provide guidance for future sleep research in persons with SUDs. METHODS This systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) on May 7th, 2020 (CRD42020182004). Studies were included if they were peer-reviewed manuscripts describing RCTs in an SUD population. RESULTS The initial search yielded 13,403 candidate articles, and 76 met a priori criteria and were included in this review. Thirty-five (46.1%) assessed sleep as a primary outcome (i.e., sleep improvement was the primary goal of the research) and 41 (53.9%) assessed sleep as a secondary outcome (i.e., sleep improvement was an important outcome, but not the primary outcome). The most commonly used measures included the Pittsburgh Sleep Quality Index, the Insomnia Severity Index, and sleep diaries. However, multiple additional sleep assessments were also used, including visual analogue and Likert scales. CONCLUSIONS The field of addiction medicine would benefit from a streamlined approach in assessing patient-reported sleep in RCTs, including commonly used and validated assessments of sleep quality, inserting daily or repeated measures into RCTs, and including questionnaires that assess clinically relevant insomnia or other sleep disorders.
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Affiliation(s)
- Andrew S Huhn
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, USA.
| | - Jennifer D Ellis
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, USA
| | - Kelly E Dunn
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, USA
| | - Dennis J Sholler
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, USA
| | - Paula Tabaschek
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, USA
| | - Rachel Burns
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, USA
| | - Eric C Strain
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, USA
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A preliminary investigation of the role of intraindividual sleep variability in substance use treatment outcomes. Addict Behav 2022; 131:107315. [PMID: 35364397 PMCID: PMC9086148 DOI: 10.1016/j.addbeh.2022.107315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 03/16/2022] [Accepted: 03/23/2022] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Poor sleep health is common among individuals in early treatment for substance use disorders (SUDs) and may serve an important role in predicting SUD outcomes. However, sleep parameters have been inconsistently linked with risk of relapse, perhaps because previous research has focused on mean values of sleep parameters (e.g., total sleep time [TST], sleep efficiency [SE], and sleep midpoint [SM]) across multiple nights rather than night-to-night fluctuations (i.e., intraindividual variability [IIV]). The current study assessed sleep across the first week of SUD treatment, with the aim of prospectively examining the relationship between mean and IIV of TST, SE, and SM and treatment completion and relapse within one-month post-treatment. METHODS Treatment-seeking adults (N = 23, Mage = 40.1, 39% female) wore an actigraph to assess sleep for one week at the beginning of an intensive outpatient program treatment. Electronic medical record and follow-up interviews were utilized to determine treatment outcomes. RESULTS Greater IIV in TST was associated with higher odds of relapse (OR = 3.55, p =.028). Greater IIV in SM was associated with lower odds of treatment completion, but only when removing mean SM from the model (OR = 0.75, p =.046). DISCUSSION Night-to-night variability in actigraphy-measured TST is more strongly associated with SUD treatment outcomes than average sleep patterns across the week. Integrating circadian regulation into treatment efforts to improve SUD treatment outcomes may be warranted. Given the small sample size utilized in the present study, replication of these analyses with a larger sample is warranted.
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Isaac F, Toukhsati SR, Di Benedetto M, Kennedy GA. A Systematic Review of the Impact of Wildfires on Sleep Disturbances. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph181910152. [PMID: 34639453 PMCID: PMC8508521 DOI: 10.3390/ijerph181910152] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 09/21/2021] [Accepted: 09/24/2021] [Indexed: 11/21/2022]
Abstract
Wildfires present a serious risk to humans as well as to the environment. Wildfires cause loss of lives, economic losses, expose people to personal as well as collective trauma, and compromise the mental health of survivors. Sleep disturbances are highly prevalent following a traumatic event; however, their prevalence is not well established amongst those confronted by natural disasters such as wildfires. The aim of this systematic review is to synthesise the empirical findings pertaining to wildfires and the prevalence of sleep disturbances in the general community affected by this natural disaster. We searched EBSCO, PsychINFO, Medline, SpringerLink, CINAHL Complete, EMBASE, PubMed, Scopus and Cochrane Library between January 2012 and March 2021. Five studies met the inclusion criteria. Findings from this systematic review suggest that sleep disturbances, assessed one to ten months following the fires, are highly prevalent in wildfire survivors, with insomnia (ranging between 63–72.5%) and nightmares (ranging between 33.3–46.5%), being the most prevalent sleep disturbances reported in this cohort. Results also highlight the significant associations between sleep disturbances and post-traumatic symptoms following the trauma of wildfires. There is a possible link between sleep disturbance prevalence, severity of, and proximity to fires.
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Affiliation(s)
- Fadia Isaac
- School of Science, Psychology and Sport, Federation University, Ballarat, VIC 3350, Australia; (S.R.T.); (G.A.K.)
- Correspondence: ; Tel.: +61-3-5327-6651
| | - Samia R. Toukhsati
- School of Science, Psychology and Sport, Federation University, Ballarat, VIC 3350, Australia; (S.R.T.); (G.A.K.)
| | | | - Gerard A. Kennedy
- School of Science, Psychology and Sport, Federation University, Ballarat, VIC 3350, Australia; (S.R.T.); (G.A.K.)
- School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC 3083, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Melbourne, VIC 3084, Australia
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Buckheit KA, Nolan J, Possemato K, Maisto S, Rosenblum A, Acosta M, Marsch LA. Insomnia predicts treatment engagement and symptom change: a secondary analysis of a web-based CBT intervention for veterans with PTSD symptoms and hazardous alcohol use. Transl Behav Med 2021; 12:6360365. [PMID: 34463344 DOI: 10.1093/tbm/ibab118] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Posttraumatic Stress Disorder (PTSD) and hazardous drinking are highly comorbid, and often more severe than PTSD or hazardous drinking alone. Integrated, web-based interventions for PTSD/hazardous drinking may increase access to care, but have demonstrated equivocal results in reducing PTSD and hazardous drinking. One factor that may explain treatment engagement and symptom change is the presence of insomnia symptoms. The current study conducted secondary data analysis of a randomized controlled trial of an integrated web-based intervention for PTSD symptoms and hazardous drinking to examine insomnia symptoms as predictors of PTSD symptoms, alcohol use, and treatment engagement. In the parent study, 162 veterans in primary care reporting PTSD symptoms and hazardous drinking were randomized to receive either the intervention or treatment as usual. The current study examined insomnia among veterans who received the intervention (n = 81). Regression models tested baseline insomnia symptoms as predictors of treatment engagement, follow-up PTSD symptoms, and alcohol use. Hierarchical regression models tested change in insomnia during treatment as a predictor of follow-up PTSD symptoms and alcohol use. Results showed baseline insomnia predicted treatment engagement and follow-up drinking days, but not PTSD symptoms or heavy drinking days. Although overall change in insomnia was small, it predicted follow-up PTSD and heavy drinking days, but not drinking days. Results are consistent with previous research highlighting the importance of identifying and treating insomnia in the course of integrated treatment for PTSD/hazardous drinking. Future research should investigate how to best integrate insomnia, PTSD, and/or hazardous drinking interventions to maximize treatment engagement.
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Affiliation(s)
- Katherine A Buckheit
- VA Center for Integrated Healthcare, Syracuse VA Medical Center, Syracuse, NY 13204, USA
| | - Jon Nolan
- VA Center for Integrated Healthcare, Syracuse VA Medical Center, Syracuse, NY 13204, USA
| | - Kyle Possemato
- VA Center for Integrated Healthcare, Syracuse VA Medical Center, Syracuse, NY 13204, USA
| | - Stephen Maisto
- VA Center for Integrated Healthcare, Syracuse VA Medical Center, Syracuse, NY 13204, USA.,Department of Psychology, Syracuse University, Syracuse, NY 13244, USA
| | | | | | - Lisa A Marsch
- Center for Technology and Behavioral Health, Dartmouth College, Lebanon, NH 03766, USA
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9
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Wilkerson AK, Simmons RO, Sahlem GL, Taylor DJ, Smith JP, Book SW, McRae-Clark AL. Sleep and substance use disorder treatment: A preliminary study of subjective and objective assessment of sleep during an intensive outpatient program. Am J Addict 2021; 30:477-484. [PMID: 34164864 PMCID: PMC8429116 DOI: 10.1111/ajad.13194] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 05/25/2021] [Accepted: 05/28/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Characteristics of sleep concerns and their relationship to mental health in heterogeneous substance use disorder (SUD) treatment settings are not well understood. The purpose of this preliminary study was to assess sleep using subjective and objective measures at two time points during SUD treatment and compare sleep changes to changes in mental health measures. METHODS Treatment-seeking participants completed an assessment battery at the beginning of treatment (Time 1, N = 30) and again upon treatment completion (Time 2, approximately 4 weeks later, N = 22). The majority of participants were White (80%), male (63%), and presenting for alcohol use disorder (60.0%), though almost half reported polysubstance abuse (43%). Comorbidity was common (53%). Sleep and mental health questionnaires with 1 week of actigraphy and sleep diaries were completed at both time points. RESULTS Most participants met the criteria for a sleep disorder and mean scores on questionnaires showed poor sleep quality, insomnia symptoms, and frequent nightmares, with sleep quality and insomnia improving over time but remaining clinically significant. Nightmares did not improve. Actigraphy indicated poor sleep at both time points. Improvement in insomnia was related to improvement in measures of mental health while changes in actigraphy variables were not related to these measures. DISCUSSION AND CONCLUSIONS Multiple types of sleep disturbance are prevalent in this population, with nightmares persisting throughout treatment and insomnia symptoms showing a relationship with mental health symptoms. SCIENTIFIC SIGNIFICANCE This was the first study to longitudinally assess mental health with subjective and objective measures of sleep across multiple types of SUDs in a community SUD treatment setting.
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Affiliation(s)
- Allison K Wilkerson
- Department of Psychiatry and Behavioral Sciences, The Medical University of South Carolina (MUSC), Charleston, South Carolina, USA
| | - Richard O Simmons
- Department of Psychiatry and Behavioral Sciences, The Medical University of South Carolina (MUSC), Charleston, South Carolina, USA
| | - Gregory L Sahlem
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, USA
| | - Daniel J Taylor
- Department of Psychology, University of Arizona, Tucson, Arizona, USA
| | - Joshua P Smith
- Department of Psychiatry and Behavioral Sciences, The Medical University of South Carolina (MUSC), Charleston, South Carolina, USA
| | - Sarah W Book
- Department of Psychiatry and Behavioral Sciences, The Medical University of South Carolina (MUSC), Charleston, South Carolina, USA
| | - Aimee L McRae-Clark
- Department of Psychiatry and Behavioral Sciences, The Medical University of South Carolina (MUSC), Charleston, South Carolina, USA
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DeViva JC, McCarthy E, Southwick SM, Tsai J, Pietrzak RH. The impact of sleep quality on the incidence of PTSD: Results from a 7-Year, Nationally Representative, Prospective Cohort of U.S. Military Veterans. J Anxiety Disord 2021; 81:102413. [PMID: 33991819 PMCID: PMC10693322 DOI: 10.1016/j.janxdis.2021.102413] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 03/19/2021] [Accepted: 04/27/2021] [Indexed: 11/21/2022]
Abstract
Sleep and posttraumatic stress disorder (PTSD) have a complex relationship, with some studies showing that disrupted sleep is associated with subsequent development of PTSD. The purpose of the current study was to examine the relationship between sleep quality and the development of probable PTSD in U.S. veterans surveyed as part of the National Health and Resilience in Veterans Study, a 7-year, nationally representative, prospective cohort study with four waves of data collection. Sociodemographic, military, trauma, and clinical variables were entered into a multivariate analysis to examine independent determinants of new-onset PTSD. A total of 142 (7.3 %) veterans developed PTSD over the 7-year study period. Poor/fair sleep quality at Wave 1 was associated with 60 % greater likelihood of developing PTSD, with more than twice as many veterans who developed PTSD reporting poor sleep quality at Wave 1 (47.8 % vs. 20.7 %). Younger age, using the VA as a primary source of healthcare, greater traumas since Wave, and lifetime depression were additionally associated with this outcome. Results of this study underscore the importance of self-reported sleep quality as a potential risk factor for the development of PTSD in the U.S. veteran population.
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Affiliation(s)
- Jason C DeViva
- Veterans Affairs Connecticut Health Care System, 950 Campbell Ave., West Haven, CT, 06516, United States; Department of Psychiatry, Yale School of Medicine, 300 George St., New Haven, CT, 06511, United States.
| | - Elissa McCarthy
- National Center for PTSD, 163 Veterans Drive, White River Junction, VT, 05009, United States
| | - Steven M Southwick
- Department of Psychiatry, Yale School of Medicine, 300 George St., New Haven, CT, 06511, United States
| | - Jack Tsai
- Department of Psychiatry, Yale School of Medicine, 300 George St., New Haven, CT, 06511, United States; U.S. Department of Veterans Affairs National Center on Homelessness among Veterans, 50 Irving ST. NW, Washington, DC, 20422, United States; School of Public Health, University of Texas Health Science Center at Houston, 1200 Pressler St., Houston, TX, 77030, United States
| | - Robert H Pietrzak
- Veterans Affairs Connecticut Health Care System, 950 Campbell Ave., West Haven, CT, 06516, United States; Department of Psychiatry, Yale School of Medicine, 300 George St., New Haven, CT, 06511, United States; U.S. Department of Veterans Affairs National Center for PTSD, VA Connecticut Healthcare System, 950 Campbell Ave., West Haven, CT, 06516, United States; Department of Social and Behavioral Sciences, Yale School of Public Health, Laboratory of Epidemiology and Public Health, 60 College St., New Haven, CT, 06510, United States
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11
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Sandahl H, Carlsson J, Sonne C, Mortensen EL, Jennum P, Baandrup L. Investigating the link between subjective sleep quality, symptoms of PTSD and level of functioning in a sample of trauma-affected refugees. Sleep 2021; 44:6168908. [PMID: 33710347 DOI: 10.1093/sleep/zsab063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 02/01/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES To examine whether baseline sleep quality is associated with baseline symptoms of posttraumatic stress disorder (PTSD) and level of functioning, and whether baseline sleep quality and improvement of sleep quality are specific predictors of change in PTSD symptoms and level of functioning. METHODS Data were derived from a four-armed randomised controlled superiority trial (N=219 trauma-affected refugees). All four groups received treatment as usual consisting of a 10-12 months bio-psycho-social treatment program with an additional differential treatment component added to each arm. We performed bivariate correlation analyses, multiple linear regression analyses and mediation analyses to examine associations between baseline sleep quality, change in sleep quality and treatment response for PTSD symptoms and level of functioning. RESULTS Baseline sleep quality correlated with symptoms of PTSD (r = .33) and level of functioning (r=0.15). Baseline sleep quality, improvement of sleep quality and improvement of general well-being were predictors of treatment response for symptoms of PTSD and level of functioning when controlling for age, gender, and baseline symptoms of PTSD and depression. CONCLUSIONS We found that good sleep quality at baseline and improvement of sleep quality were predictors of PTSD treatment response. However, treatment response was more closely associated with improvement in general well-being. The results indicate that the effect of improved sleep quality was partly mediated by a more general mental state improvement. Further research is needed to differentiate if a selected subgroup of patients may profit from sleep enhancing treatment.
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Affiliation(s)
- Hinuga Sandahl
- Competence Centre for Transcultural Psychiatry, Mental Health Center Ballerup, Mental Health Services in the Capital Region of Denmark, Ballerup, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jessica Carlsson
- Competence Centre for Transcultural Psychiatry, Mental Health Center Ballerup, Mental Health Services in the Capital Region of Denmark, Ballerup, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Charlotte Sonne
- Competence Centre for Transcultural Psychiatry, Mental Health Center Ballerup, Mental Health Services in the Capital Region of Denmark, Ballerup, Denmark
| | - Erik Lykke Mortensen
- Department of Public Health and Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Poul Jennum
- Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet - Glostrup, Copenhagen University Hospital, Denmark
| | - Lone Baandrup
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
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