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Messman BA, Wiley JF, Feldman E, Dietch JR, Taylor DJ, Slavish DC. Irregular sleep is linked to poorer mental health: A pooled analysis of eight studies. Sleep Health 2024; 10:493-499. [PMID: 38704353 DOI: 10.1016/j.sleh.2024.03.004] [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: 07/06/2023] [Revised: 03/05/2024] [Accepted: 03/14/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES Greater sleep disturbances on average are a risk factor for impaired mental health. Recent research has shown that more intraindividual variability (i.e., inconsistency) in sleep (hereafter called "sleep intraindividual variability") may also be uniquely related to mental health, even above the influence of mean sleep patterns averaged across days. The current study examined associations between sleep intraindividual variability and symptoms of anxiety, depression, and insomnia across different facets of sleep intraindividual variability (sleep duration, efficiency, and timing) and sleep measurement types (sleep diary and actigraphy). METHODS We pooled eight datasets (N = 3053 participants) that assessed repeated measures of sleep diary- and/or actigraphy-determined sleep across multiple days, as well as one-time measures of mental health or sleep disorder symptoms (i.e., anxiety, depression, and insomnia). Multilevel regression analyses were conducted to examine associations between sleep intraindividual variability and mental health or sleep disorder symptoms. RESULTS Greater diary- and actigraphy-determined sleep duration intraindividual variability was associated with more depression symptoms (diary: b=0.02, p < .001; actigraphy: b=0.03, p = .006) and more insomnia symptoms (diary: b=0.02, p < .001; actigraphy: b=0.02, p < .001). Greater diary-determined sleep efficiency intraindividual variability was associated with fewer anxiety symptoms (b=-0.23, p = .019) and fewer insomnia symptoms (b=-0.15, p < .001). Greater diary- and actigraphy-determined sleep midpoint intraindividual variability was associated with more insomnia symptoms (diary: b=0.41, p = .044; actigraphy: b=0.66, p = .021). CONCLUSIONS More inconsistent sleep duration and sleep timing may be a correlate of poorer mental health. Future experimental work should examine whether stabilizing sleep patterns can improve mental health outcomes.
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Affiliation(s)
- Brett A Messman
- Department of Psychology, University of North Texas, Denton, Texas, USA.
| | - Joshua F Wiley
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Emily Feldman
- Department of Psychology, University of North Texas, Denton, Texas, USA
| | - Jessica R Dietch
- School of Psychological Science, Oregon State University, Corvallis, Oregon, USA
| | - Daniel J Taylor
- Department of Psychology, University of Arizona, Tucson, Arizona, USA
| | - Danica C Slavish
- Department of Psychology, University of North Texas, Denton, Texas, USA
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2
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Shi Y, Ren R, Zhang Y, Vitiello MV, Tang X. Factors influencing the effectiveness of digital cognitive behavioural therapy for chronic insomnia in clinical practice. J Sleep Res 2024; 33:e14077. [PMID: 37897204 DOI: 10.1111/jsr.14077] [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: 08/12/2023] [Revised: 10/03/2023] [Accepted: 10/09/2023] [Indexed: 10/29/2023]
Abstract
Digital cognitive behavioural therapy for chronic insomnia (D-CBT-I) has been shown to be as efficacious as traditional CBT-I. However, not all patients achieve insomnia remission after treatment. We explored the factors influencing the effectiveness of D-CBT-I in a clinical practice. A total of 414 Asian chronic insomniacs were studied during a 6 week D-CBT-I intervention. All patients were assessed at baseline and posttreatment and were determined to be remitters or non-remitters, responders or non-responders by posttreatment criteria; Insomnia Severity Index (ISI <8) or ISI reduction ≥8, to examine whether remission and response status were associated with patient baseline characteristics. The average baseline ISI score in all subjects was 16.29 points. At posttreatment, 192 (46.4%) patients achieved ISI remission and 218 (52.7%) patients demonstrated an ISI response. An increased baseline early morning awakening time and ISI score were independently associated with a lower odds for remission (OR, 0.995 and 0.991, respectively). Increased baseline Patients Health Questionnaire-9 score was independently associated with higher odds for response (OR, 1.114). Our results suggest that D-CBT-I can be recommended as the first-line treatment for chronic insomnia, particularly in insomniacs with milder insomnia symptoms and more severe depressive symptoms. Meanwhile, the effectiveness of D-CBT-I was adversely affected by longer early morning awakening time and higher insomnia severity at pretreatment, which may be improved by more intense intervention and greater therapeutic support or by traditional CBT-I.
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Affiliation(s)
- Yuan Shi
- Sleep Medicine Center, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Rong Ren
- Sleep Medicine Center, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ye Zhang
- Sleep Medicine Center, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Michael V Vitiello
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Xiangdong Tang
- Sleep Medicine Center, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
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3
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Shaffer KM, Perepezko K, Glazer JV, Mattos MK, Klinger J, Buysse DJ, Ritterband LM, Donovan H. Caregiver Experiences With an Internet-Delivered Insomnia Intervention: SHUTi-CARE Trial Primary Qualitative Analysis. Ann Behav Med 2024:kaae041. [PMID: 38990523 DOI: 10.1093/abm/kaae041] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND Digital health interventions show potential to increase caregivers' access to psychosocial care; however, it is unclear to what extent existing interventions may need to be tailored to meet caregivers' unique needs. PURPOSE This study aimed to determine whether-and if so, how-an efficacious Internet-delivered insomnia program should be modified for caregivers. The generalizability of these findings beyond the tested program was also examined. METHODS Higher-intensity family caregivers (N = 100; age M = 52.82 [SD = 13.10], 75% non-Hispanic White, 66% ≥college degree) received access to an Internet-based cognitive-behavioral therapy for insomnia (CBT-I) program. Participants who completed one or more intervention "Cores" provided open-ended feedback on their experience; nonusers (completed no Cores) shared their barriers. RESULTS Most caregivers who used the program (n = 82, 82%) found it feasible, citing its user-friendly, fully automated online format. Many reported that CBT-I strategies were helpful, although some faced challenges in implementing these strategies due to the unpredictability of their caregiving responsibilities. Opinions were divided on the utility of tailoring the program for caregivers. Nonusers (n = 18, 18%) primarily cited concerns about time burden and lifestyle compatibility as usage barriers. CONCLUSIONS Delivering fully automated behavioral interventions through the Internet appears suitable for many caregivers. Extensive tailoring may not be required for most caregivers to benefit from an existing online CBT-I program, although additional guidance on integrating CBT-I strategies in the context of challenging sleep schedules and environments may help a subset of caregivers. Future research should explore how such tailoring may enhance digital health intervention uptake and effectiveness for caregivers.
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Affiliation(s)
- Kelly M Shaffer
- Center for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA
- School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Kate Perepezko
- National Center on Family Support, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jillian V Glazer
- Center for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA
| | - Meghan K Mattos
- Center for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA
- School of Nursing, University of Virginia, Charlottesville, VA, USA
| | - Julie Klinger
- National Center on Family Support, University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniel J Buysse
- School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lee M Ritterband
- Center for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA
- School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Heidi Donovan
- National Center on Family Support, University of Pittsburgh, Pittsburgh, PA, USA
- School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
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4
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Shaffer KM, Ritterband LM, You W, Mattos MK, Buysse DJ, Glazer JV, Klinger J, Donovan H. Caregivers' Internet-Delivered Insomnia Intervention Engagement and Benefit: SHUTi-CARE Trial Primary Quantitative Analysis. Ann Behav Med 2024:kaae031. [PMID: 38982942 DOI: 10.1093/abm/kaae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2024] Open
Abstract
BACKGROUND Delivering insomnia treatment by the Internet holds promise for increasing care access to family caregivers, but their ability to adhere to and benefit from such fully-automated programs has not been rigorously tested. PURPOSE This fully-powered, single-group trial tested whether characteristics of the caregiving context influence high-intensity caregivers' engagement with and benefit from an empirically validated Internet intervention for insomnia. METHODS At baseline, caregivers providing unpaid time- and responsibility-intensive care who reported insomnia (N = 100; age M = 52.82 [SD = 13.10], 75% non-Hispanic white, 66% ≥college degree) completed questionnaires about caregiving context and sleep, then 10 prospectively-collected online daily sleep diaries. Caregivers then received access to SHUTi (Sleep Healthy Using the Internet), which has no caregiver-specific content, for 9 weeks, followed by post-assessment (questionnaires, diaries). Engagement was tracked by the SHUTi delivery system. RESULTS Sixty caregivers completed SHUTi, 22 initiated but did not complete SHUTi, and 18 did not initiate SHUTi. Caregivers were more likely to use SHUTi (than not use SHUTi) when their care recipient (CR) had worse functioning, and were more likely to complete SHUTi when supporting more CR activities of daily living (ADL; ps < .03). Higher caregiver guilt, more CR problem behaviors, and being bedpartners with the CR related to more improved sleep outcomes, whereas supporting more CR instrumental ADL related to less improvement (ps < .05). CONCLUSIONS Factors associated with greater caregiving burden, including greater CR impairment and caregiving guilt, were generally associated with better engagement and outcomes. Caregivers with substantial burdens can adhere to and benefit from a fully automated insomnia program without caregiver-specific tailoring.
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Affiliation(s)
- Kelly M Shaffer
- Center for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA
- School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Lee M Ritterband
- Center for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA
- School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Wen You
- School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Meghan K Mattos
- Center for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA
- School of Nursing, University of Virginia, Charlottesville, VA, USA
| | - Daniel J Buysse
- School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jillian V Glazer
- Center for Behavioral Health and Technology, University of Virginia, Charlottesville, VA, USA
| | - Julie Klinger
- National Center on Family Support, University of Pittsburgh, Pittsburgh, PA, USA
| | - Heidi Donovan
- School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- National Center on Family Support, University of Pittsburgh, Pittsburgh, PA, USA
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
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5
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Zhu B, Wang Y, Yuan J, Mu Y, Chen P, Srimoragot M, Li Y, Park CG, Reutrakul S. Associations between sleep variability and cardiometabolic health: A systematic review. Sleep Med Rev 2022; 66:101688. [PMID: 36081237 DOI: 10.1016/j.smrv.2022.101688] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 12/13/2022]
Abstract
This review explored the associations between sleep variability and cardiometabolic health. It was performed following PRISMA guidelines. We identified 63 studies. Forty-one studies examined the association between sleep variability and body composition, with 29 examined body mass index (BMI). Thirteen studies used social jet lag (SJL), n = 30,519, with nine reporting a null association. Eight studies used variability in sleep duration (n = 33,029), with five reporting a correlation with BMI. Fourteen studies (n = 133,403) focused on overweight/obesity; significant associations with sleep variability were found in 11 (n = 120,168). Sleep variability was associated with weight gain (seven studies; n = 79,522). Twenty-three studies examined glucose outcomes. The association with hemoglobin A1c (16 studies, n = 11,755) differed depending on populations, while associations with diabetes or glucose were mixed, and none were seen with insulin resistance (five studies; n = 6416). Sixteen studies examined cardiovascular-related outcomes, with inconsistent results. Overall significant associations were found in five studies focusing on metabolic syndrome (n = 7413). In summary, sleep variability was likely associated with obesity, weight gain, and metabolic syndrome. It might be associated with hemoglobin A1c in people with type 1 diabetes. The associations with other outcomes were mixed. This review highlighted the possible association between sleep variability and cardiometabolic health.
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Affiliation(s)
- Bingqian Zhu
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Yueying Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Jinjin Yuan
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Yunping Mu
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Pei Chen
- Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; College of Nursing, University of Illinois Chicago, Chicago, IL, USA
| | | | - Yan Li
- School of Nursing, Hong Kong Polytechnic University, Hong Kong, China
| | - Chang G Park
- College of Nursing, University of Illinois Chicago, Chicago, IL, USA
| | - Sirimon Reutrakul
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA.
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6
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Maccora J, Bean HR, Diggens J, Ftanou M, Alexander M, Lu Q, Stafford L, Francis PA, Bei B, Wiley JF. Mechanisms of Cognitive Behavioral Therapy and Light Therapy for Cancer-Related Insomnia: A Randomized Clinical Trial during Chemotherapy for Breast Cancer. Behav Sleep Med 2022; 21:227-241. [PMID: 35580165 DOI: 10.1080/15402002.2022.2075364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
STUDY OBJECTIVES This study aimed to investigate the mechanisms of a combined brief cognitive behavioral plus bright light therapy (CBT-I+Light) in women receiving chemotherapy. METHODS Women (N = 101) were randomly assigned to CBT-I+Light or treatment as usual plus relaxation audios (TAU+). Participants completed sleep diaries and wore an actigraph during the 6-week intervention period. Patient-reported outcomes were assessed at baseline, mid-point (week 3), and later (week 6). Cognitive (i.e., dysfunctional sleep beliefs, pre-sleep cognitions, and arousal) and behavioral (i.e., time in bed awake and day-to-day out-of-bedtime variability) mechanisms were examined. RESULTS Cognitively, both groups declined significantly in overall dysfunctional sleep beliefs from pre- to post-intervention (both p< .04); however, they did not differ on sleep-related beliefs nor pre-sleep cognitions and arousal at post-intervention (both p> .50). Dysfunctional beliefs sleep expectations subscale was lower in CBT-I+Light versus TAU+ (p= .01). Behaviorally, CBT-I+Light reported less overall time in bed awake after the start of the intervention (p< .05) and significantly less time in bed during the morning until the final week of the intervention period. Out-of-bedtime day-to-day variability was lower in the CBT-+Light vs TAU+ at the final intervention day. CONCLUSION Mechanisms of CBT-I+Light during chemotherapy remain to be shown. Our results suggest that changes in behavioral mechanisms may be associated with sleep improvements within this cohort. Future studies should assess the role of additional mechanisms (e.g., sleep effort) within larger samples. Whilst intervention brevity is important, more potent interventions may be required to achieve robust changes in target mechanisms.
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Affiliation(s)
- Jordan Maccora
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Helena R Bean
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | | | - Maria Ftanou
- Peter MacCallum Cancer Centre, Melbourne, Australia.,Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Marliese Alexander
- Peter MacCallum Cancer Centre, Melbourne, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Qian Lu
- Department of Health Disparities Research, University of Texas MD Anderson Cancer Centre, Houston, United States of America
| | - Lesley Stafford
- Centre for Women's Mental Health, Royal Women's Hospital, Melbourne, Australia.,Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | | | - Bei Bei
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia.,Centre for Women's Mental Health, Royal Women's Hospital, Melbourne, Australia
| | - Joshua F Wiley
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia.,Peter MacCallum Cancer Centre, Melbourne, Australia
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7
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Kalmbach DA, Cheng P, Roth T, Swanson LM, Cuamatzi-Castelan A, Roth A, Drake CL. Examining Patient Feedback and the Role of Cognitive Arousal in Treatment Non-response to Digital Cognitive-behavioral Therapy for Insomnia during Pregnancy. Behav Sleep Med 2022; 20:143-163. [PMID: 33719795 PMCID: PMC8440671 DOI: 10.1080/15402002.2021.1895793] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Insomnia affects over half of pregnant and postpartum women. Early evidence indicates that cognitive-behavioral therapy for insomnia (CBTI) improves maternal sleep and mood. However, standard CBTI may be less efficacious in perinatal women than the broader insomnia population. This study sought to identify patient characteristics in a perinatal sample associated with poor response to CBTI, and characterize patient feedback to identify areas of insomnia therapy to tailor for the perinatal experience. PARTICIPANTS Secondary analysis of 46 pregnant women with insomnia symptoms who were treated with digital CBTI in a randomized controlled trial. METHODS We assessed insomnia, cognitive arousal, and depression before and after prenatal treatment, then 6 weeks postpartum. Patients provided feedback on digital CBTI. RESULTS Residual cognitive arousal after treatment was the most robust factor associated with treatment non-response. Critically, CBTI responders and non-responders differed on no other sociodemographic or pretreatment metrics. After childbirth, short sleep (<6 hrs/night) was associated with maternal reports of poor infant sleep quality. Patient feedback indicated that most patients preferred online treatment to in-person treatment. Although women described digital CBTI as convenient and helpful, many patients indicated that insomnia therapy would be improved if it addressed sleep challenges unique to pregnancy and postpartum. Patients requested education on maternal and infant sleep, flexibility in behavioral sleep strategies, and guidance to manage infant sleep. CONCLUSIONS Modifying insomnia therapy to better alleviate refractory cognitive arousal and address the changing needs of women as they progress through pregnancy and early parenting may increase efficacy for perinatal insomnia.Name: Insomnia and Rumination in Late Pregnancy and the Risk for Postpartum DepressionURL: clinicaltrials.govRegistration: NCT03596879.
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Affiliation(s)
- David A Kalmbach
- Thomas Roth Sleep Disorders & Research Center, Henry Ford Health System, Detroit, Michigan
| | - Philip Cheng
- Thomas Roth Sleep Disorders & Research Center, Henry Ford Health System, Detroit, Michigan
| | - Thomas Roth
- Thomas Roth Sleep Disorders & Research Center, Henry Ford Health System, Detroit, Michigan
| | - Leslie M Swanson
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | | | - Andrea Roth
- Thriving Minds Behavioral Health, Brighton, Michigan
| | - Christopher L Drake
- Thomas Roth Sleep Disorders & Research Center, Henry Ford Health System, Detroit, Michigan
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8
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Williams-Cooke C, LeSuer L, Drerup M, Siengsukon C. The Impact of Cognitive Behavioral Therapy for Insomnia on Sleep Log and Actigraphy Outcomes in People with Multiple Sclerosis: A Secondary Analysis. Nat Sci Sleep 2021; 13:1865-1874. [PMID: 34675730 PMCID: PMC8520446 DOI: 10.2147/nss.s324879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 09/09/2021] [Indexed: 11/23/2022] Open
Abstract
PURPOSE While studies indicate cognitive behavioral therapy for insomnia (CBT-I) improves self-report sleep outcomes from questionnaires in people with multiple sclerosis (MS), it is unclear if CBT-I improves outcomes from a sleep log or sleep assessed objectively via actigraphy in people with MS. This study aimed to determine if CBT-I improves sleep log and actigraphy outcomes in individuals with MS. PATIENTS AND METHODS Twenty-five participants (Mage = 53.04, SD= 10.90) were included in this secondary analysis of data from a pilot randomized control study to assess the feasibility and treatment effect of CBT-I in individuals with MS. Participants were asked to maintain a sleep log and wear an actigraph for a week at baseline and post-intervention. Participants were randomized into one of three groups (CBT-I, active control, or one-time brief education control group). One-way ANOVAs were used to assess for group differences and within group change in sleep latency, sleep efficiency (SE), time in bed, total sleep time (TST), wake after sleep onset, variability of SE, and variability of TST. RESULTS CBT-I resulted in an increase in sleep efficiency (SE) and decrease in time in bed (TIB) and variability of SE from the sleep log. The CBT-I group also experienced a decrease in TIB and total sleep time (TST) from actigraphy. The active control group demonstrated an increase in variability of SE from actigraphy. CONCLUSION This study indicates that individuals with MS may experience an improvement in sleep log and actigraphy sleep outcomes following CBT-I, but findings need to be replicated in a larger prospective study. The decrease in TST from actigraphy mirrors results from prior studies.
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Affiliation(s)
- Cierra Williams-Cooke
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA
| | - Leslie LeSuer
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA
| | - Michelle Drerup
- Sleep Disorders Clinic, Cleveland Clinic, Cleveland, OH, USA
| | - Catherine Siengsukon
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA
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9
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Vestergaard CL, Vedaa Ø, Simpson MR, Faaland P, Vethe D, Kjørstad K, Langsrud K, Ritterband LM, Sivertsen B, Stiles TC, Scott J, Kallestad H. The effect of sleep-wake intraindividial variability in digital cognitive behaviour therapy for insomnia: A mediation analysis of a large-scale RCT. Sleep 2021; 44:6272558. [PMID: 33964166 PMCID: PMC8503826 DOI: 10.1093/sleep/zsab118] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 04/01/2021] [Indexed: 11/17/2022] Open
Abstract
Study Objectives Digital cognitive behavioral therapy for insomnia (dCBT-I) is an effective treatment for insomnia. However, less is known about mediators of its benefits. The aim of the present study was to test if intraindividual variability in sleep (IIV) was reduced with dCBT-I, and whether any identified reduction was a mediator of dCBT-I on insomnia severity and psychological distress. Methods In a two-arm randomized controlled trial (RCT), 1720 adults with insomnia (dCBT-I = 867; patient education about sleep = 853) completed the Insomnia Severity Index (ISI), the Hospital Anxiety and Depression Scale (HADS) and sleep diaries, at baseline and 9-week follow-up. Changes in IIV were analyzed using linear mixed modeling followed by mediation analyses of ISI, HADS, and IIV in singular sleep metrics and composite measures (behavioral indices (BI-Z) and sleep disturbance indices (SI-Z)). Results dCBT-I was associated with reduced IIV across all singular sleep metrics, with the largest between-group effect sizes observed for sleep onset latency (SOL). Reduced IIV for SOL and wake after sleep onset had the overall greatest singular mediating effect. For composite measures, SI-Z mediated change in ISI (b = −0.74; 95% confidence interval (CI) −1.04 to −0.52; 13.3%) and HADS (b = −0.40; 95% CI −0.73 to −0.18; 29.2%), while BI-Z mediated minor changes. Conclusion Reductions in IIV in key sleep metrics mediate significant changes in insomnia severity and especially psychological distress when using dCBT-I. These findings offer important evidence regarding the therapeutic action of dCBT-I and may guide the future development of this intervention. Clinical trials Name: Overcoming Insomnia: Impact on Sleep, Health and Work of Online CBT-I Registration number: NCT02558647 URL: https://clinicaltrials.gov/ct2/show/NCT02558647?cond=NCT02558647&draw=2&rank=1
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Affiliation(s)
- Cecilie L Vestergaard
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.,St. Olavs University Hospital, Østmarka, Trondheim, Norway
| | - Øystein Vedaa
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.,St. Olavs University Hospital, Østmarka, Trondheim, Norway.,Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway.,Voss District Psychiatric Hospital, NKS Bjørkeli, Voss, Norway
| | - Melanie R Simpson
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.,Clinical Research Unit Central Norway, St. Olavs Hospital, Trondheim, Norway
| | - Patrick Faaland
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.,St. Olavs University Hospital, Østmarka, Trondheim, Norway
| | - Daniel Vethe
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.,St. Olavs University Hospital, Østmarka, Trondheim, Norway
| | - Kaia Kjørstad
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.,St. Olavs University Hospital, Østmarka, Trondheim, Norway
| | - Knut Langsrud
- St. Olavs University Hospital, Østmarka, Trondheim, Norway
| | - Lee M Ritterband
- Center for Behavioral Health and Technology, Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Børge Sivertsen
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway.,Department of Research & Innovation, Helse-Fonna HF, Haugesund, Norway
| | - Tore C Stiles
- Department of Psychology, Norwegian University of Science and Technology, Norway
| | - Jan Scott
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.,University of Newcastle, Newcastle, United Kingdom
| | - Håvard Kallestad
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway.,St. Olavs University Hospital, Østmarka, Trondheim, Norway
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10
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Swanson LM, Kalmbach DA, Raglan GB, O’Brien LM. Perinatal Insomnia and Mental Health: a Review of Recent Literature. Curr Psychiatry Rep 2020; 22:73. [PMID: 33104878 PMCID: PMC9109228 DOI: 10.1007/s11920-020-01198-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/14/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW The perinatal period is a time of high risk for insomnia and mental health conditions. The purpose of this review is to critically examine the most recent literature on perinatal insomnia, focusing on unique features of this period which may confer specific risk, associations with depression and anxiety, and emerging work on perinatal insomnia treatment. RECENT FINDINGS A majority of perinatal women experience insomnia, which may persist for years, and is associated with depression and anxiety. Novel risk factors include personality characteristics, nocturnal perinatal-focused rumination, and obesity. Mindfulness and physical activity may be protective. Cognitive-behavioral therapy for insomnia is an effective treatment. Perinatal insomnia is exceedingly common, perhaps due to factors unique to this period. Although closely linked to perinatal mental health, more work is needed to establish causality. Future work is also needed to establish the role of racial disparities, tailor treatments, and determine whether insomnia treatment improves perinatal mental health.
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Affiliation(s)
- Leslie M. Swanson
- Department of Psychiatry, University of Michigan, Ann Arbor, MI;,Corresponding Author: Leslie M. Swanson, Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109,
| | - David A. Kalmbach
- Sleep Disorders and Research Center, Henry Ford Hospital, Detroit, MI
| | - Greta B. Raglan
- Department of Psychiatry, University of Michigan, Ann Arbor, MI
| | - Louise M. O’Brien
- Department of Neurology, Sleep Disorders Center, University of Michigan, Ann Arbor, MI
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