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Treating insomnia in depression: Insomnia related factors predict long-term depression trajectories.

ABSTRACT: OBJECTIVE:Insomnia and major depressive disorders (MDD) often co-occur, and such comorbidity has been associated with poorer outcomes for both conditions. However, individual differences in depressive symptom trajectories during and after treatment are poorly understood in comorbid insomnia and depression. This study explored the heterogeneity in long-term depression change trajectories, and examined their correlates, particularly insomnia-related characteristics. METHOD:Participants were 148 adults (age M ± SD = 46.6 ± 12.6, 73.0% female) with insomnia and MDD who received antidepressant pharmacotherapy, and were randomized to 7-session Cognitive Behavioral Therapy for Insomnia or control conditions over 16 weeks with 2-year follow-ups. Depression and insomnia severity were assessed at baseline, biweekly during treatment, and every 4 months thereafter. Sleep effort and beliefs about sleep were also assessed. RESULTS:Growth mixture modeling revealed three trajectories: (a) Partial-Responders (68.9%) had moderate symptom reduction during early treatment (p value < .001) and maintained mild depression during follow-ups. (b) Initial-Responders (17.6%) had marked symptom reduction during treatment (p values < .001) and low depression severity at posttreatment, but increased severity over follow-up (p value < .001). (c) Optimal-Responders (13.5%) achieved most gains during early treatment (p value < .001), continued to improve (p value < .01) and maintained minimal depression during follow-ups. The classes did not differ significantly on baseline measures or treatment received, but differed on insomnia-related measures after treatment began (p values < .05): Optimal-Responders consistently endorsed the lowest insomnia severity, sleep effort, and unhelpful beliefs about sleep. CONCLUSIONS:Three depression symptom trajectories were observed among patients with comorbid insomnia and MDD. These trajectories were associated with insomnia-related constructs after commencing treatment. Early changes in insomnia characteristics may predict long-term depression outcomes. (PsycINFO Database Record

SUBMITTER: Bei B

PROVIDER: S-EPMC5841584 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Treating insomnia in depression: Insomnia related factors predict long-term depression trajectories.

Bei Bei B Asarnow Lauren D LD Krystal Andrew A Edinger Jack D JD Buysse Daniel J DJ Manber Rachel R

Journal of consulting and clinical psychology 20180301 3

<h4>Objective</h4>Insomnia and major depressive disorders (MDD) often co-occur, and such comorbidity has been associated with poorer outcomes for both conditions. However, individual differences in depressive symptom trajectories during and after treatment are poorly understood in comorbid insomnia and depression. This study explored the heterogeneity in long-term depression change trajectories, and examined their correlates, particularly insomnia-related characteristics.<h4>Method</h4>Participa ...[more]

PMID: 29504795

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Project description:Objective:To evaluate the efficacy of electroacupuncture (EA) on treating insomnia in patients with depression. Patients and Methods:In a patient-assessor-blind, randomized and sham controlled trial, 90 depression patients with insomnia were assigned into three different groups, receiving EA in the treatment group, superficial acupuncture at sham points in the control group A, or Streitberger non-insertion sham acupuncture in the control group B. Treatment was applied 3 times weekly for 8 consecutive weeks. The primary outcome was measured using the Pittsburgh Sleep Quality Index (PSQI). Secondary outcomes were sleep parameters including sleep efficiency (SE), total sleep time (TST) and numbers of sleep awakenings (SA) recorded in the actigraphy, as well as applying the Hamilton Rating Scale for Depression (HAMD-17), Self-Rating Depression Scale (SDS) and Hamilton Rating Scale for Anxiety (HAMA). Assessments were performed at the baseline (week 0), week 4, week 8, and week 12. Linear mixed-effects models were used for analyses and all statistical tests were two-sided. Results:Patients in the EA group had more significant improvement in PSQI scores than those in the control groups over time (respectively p<0.001 and p=0.04 for treatment and time interaction). At 8-week posttreatment, the EA group reported a reduction of -6.64 points in PSQI scores compared with -2.23 points in the control group A (95% CI= -5.74 to -2.39) and -2.94 points in the control group B (95% CI= -5.73 to -2.47). Compared with the two control groups, significant between-group differences were seen in SE (both p<0.01) and TST (both p<0.01) at week 8; similar results can be found in HAMD-17, SDS, and HAMA scores as well. However, there were no between-group differences in SA (respectively p=0.24 and p=0.08) after 8-weeks of treatment. Conclusion:Electroacupuncture may improve the sleep quality of patients with depression. Trial Registration:Chinese Clinical Trial Registry (ChiCTR); URL: http://www.chictr.org.cn/showproj.aspx?proj=12327; Trial ID: ChiCTR-IIR-16008058.

Project description:BackgroundMillions of COVID-19 survivors experience a wide range of long-term symptoms after acute infection, giving rise to serious public health concerns. To date, few risk factors for post-COVID-19 conditions have been determined. This study evaluated the role of pre-infection sleep quality/duration and insomnia severity in the incidence of long-term symptoms after COVID-19.Material and methodsThis prospective study involved two assessments (April 2020 and 2022). At the baseline (April 2020), sleep quality/duration and insomnia symptoms in participants without current/prior SARS-CoV-2 infection were measured using the Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI). At the follow-up (April 2022), we asked a group of COVID-19 survivors to retrospectively evaluate the presence of twenty-one symptoms (psychiatric, neurological, cognitive, bodily, and respiratory) that have been experienced one month (n = 713, infection in April 2020-February 2022) and three months after COVID-19 (n = 333, infection in April 2020-December 2021). In April 2022, participants also reported how many weeks passed to fully recover from COVID-19. Zero-inflated negative binomial models were used to estimate the effect of previous sleep on the number of long-term symptoms. Binomial logistic regressions were performed to evaluate the association between sleep variables, the incidence of each post-COVID-19 symptom, and the odds of recovery four/twelve weeks after infection.ResultsAnalyses highlighted a significant effect of pre-infection sleep on the number of symptoms one/three months after COVID-19. Previous higher PSQI and ISI scores, and shorter sleep duration significantly increased the risk of almost every long-term symptom at one/three months from COVID-19. Baseline sleep problems were also associated with longer recovery times to return to the pre-infection daily functioning level after COVID-19.ConclusionsThis study suggested a prospective dose-dependent association between pre-infection sleep quality/quantity and insomnia severity with the manifestation of post-COVID-19 symptoms. Further research is warranted to determine whether preventively promoting sleep health may mitigate the COVID-19 sequelae, with substantial public health and societal implications.

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Treating insomnia in depression: Insomnia related factors predict long-term depression trajectories.

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Treating insomnia in depression: Insomnia related factors predict long-term depression trajectories.

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