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Record W4293067309 · doi:10.1093/sleep/zsac079.624

0627 The Effects of Insomnia Therapy on Depression, Anxiety, and Daily Functioning in Individuals with Insomnia and Mild Cognitive Impairment

2022· article· en· W4293067309 on OpenAlexaboutno aff
Allison Morehouse, Kathleen O’Hora, Beatriz Hernandez, Laura C. Lazzeroni, Jamie M. Zeitzer, Leah Friedman, Donn Posner, Clete A. Kushida, Jerome A. Yesavage, Andrea Goldstein‐Piekarski

Bibliographic record

VenueSLEEP · 2022
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsInsomniaBeck Depression InventoryAnxietyCognitive behavioral therapy for insomniaBeck Anxiety InventoryVigilance (psychology)PsychologyCognitionClinical psychologyMontreal Cognitive AssessmentDepression (economics)PsychiatryCognitive behavioral therapyCognitive impairment

Abstract

fetched live from OpenAlex

Abstract Introduction Insomnia is common in older adults with and without mild cognitive impairment (MCI), and is associated with worse neuropsychiatric symptoms (NPS) and impaired daily functioning. Evidence suggests treating insomnia may resolve some of these difficulties in cognitively normal adults. However, little is known about the effects of improving sleep on these domains in older adults with MCI. Methods We examined whether MCI status moderates the improvements of a behavioral intervention for insomnia on NPS and daily functioning. 125 adults (mean age=69.18, 34.4% male) with insomnia (38 with MCI as determined by a Montreal Cognitive Assessment; MoCA score < 26) completed the Insomnia Severity Index (ISI), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), and five domains (activity, vigilance, intimacy, productivity, and social) of the Functional Outcomes of Sleep Questionnaire (FOSQ) before (BL) and after (ETX) completing either the behavioral, cognitive, or combined components of Cognitive Behavioral Therapy for Insomnia (CBT-I). Linear mixed effects models were used to determine the effect of MCI status, time, and an MCI-by-time interaction on NPS and daily functioning while covarying for sex. Results Treatment improved BDI (p<0.001), BAI (p<0.001), ISI (p<0.001), productivity (p<0.008), activity (p<0.001), social functioning (p=0.014), and FOSQ total score (p=0.015) regardless of MCI status at ETX compared to BL. Treatment did not significantly improve vigilance (p=0.154) or intimacy (p=0.439). There was a significant MCI-by-time interaction for the FOSQ social domain (p=0.041) with MCI participants showing greater improvements in social functioning compared to non-MCI participants. There were no other significant MCI-by-time interactions. Conclusion These findings suggest insomnia therapy can similarly improve aspects of sleep-related daily functioning, insomnia severity, and NPS regardless of MCI. However, insomnia therapy may be more beneficial in improving social functioning for individuals with MCI. Support (If Any) NIMHR01MH101468-01; Mental Illness Research, Education, and Clinical Center (MIRECC) at the VAPAHCS

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.244
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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