Evidence map›Paper›PMID 38310641›Full record

ArticleSleep2024

The natural history of insomnia: evaluating illness severity from acute to chronic insomnia; is the first the worst?

Julia T Boyle, Knashawn H Morales, Alexandria Muench, Jason Ellis, Ivan Vargas, Michael A Grandner, Donn Posner, Michael L Perlis

Abstract read
In one paragraph

Article in Sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Julia T BoyleNew England Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, MA, USA.ORCID 0000-0001-5335-4820
Knashawn H MoralesDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Alexandria MuenchBehavioral Sleep Medicine Program, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
Jason EllisNorthumbria Centre for Sleep Research, Northumbria University, Newcastle, UK.ORCID 0000-0002-8496-520X
Ivan VargasDepartment of Psychological Science, University of Arkansas, Fayetteville, AR, USA.ORCID 0000-0002-0787-5630
Michael A GrandnerSleep & Health Research Program, University of Arizona College of Medicine, Tucson, AZ, USA.
Donn PosnerDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.
Michael L PerlisBehavioral Sleep Medicine Program, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Sleep and Cardiometabolic Health Disparities at the US/Mexico Border: The Nogales Cardiometabolic Health and Sleep (NoCHeS) StudyR01MD011600 · NIMHD · UNIVERSITY OF ARIZONA · PI GRANDNER, MICHAEL A · 2018 to 2022
$4.1M
Prospective Assessment of The Etiology of Insomnia in Middle Aged & Elder AdultsR01AG041783 · NIA · UNIVERSITY OF PENNSYLVANIA · PI PERLIS, MICHAEL LLOYD · 2013 to 2016
$2.4M
Behavioral Sleep Medicine: Training in Sleep and AgingK24AG055602 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Michael Lloyd Perlis · 2017 to 2026
$1.6M
Circadian and Ultradian Cortisol Rhythms in Chronic Sleep Continuity DisturbanceK23HL141581 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI VARGAS, IVAN · 2019 to 2023
$677k
NHLBI NIH HHS K23 HL141581NIA NIH HHS K24 AG055602NIA NIH HHS R01 AG041783NIA NIH HHS R01AG041783NIMHD NIH HHS R01 MD011600
6 · The paper itself

Abstract

STUDY

objectivesThe 3P and 4P models represent illness severity over the course of insomnia disorder. The 3P model suggests that illness severity is worst during acute onset. The 4P model suggests that illness severity crescendos with chronicity. The present analysis from an archival dataset assesses illness severity with new onset illness (i.e. from good sleep [GS] to acute insomnia [AI] to chronic insomnia [CI]). Illness severity is quantified in terms of total wake time (TWT).

methodsGSs (N = 934) were followed up to 1 year with digital sleep diaries, and classified as GS, AI, or CI. Data for CIs were anchored to the first of 14 days with insomnia so that day-to-day TWT was represented prior to and following AI onset. A similar graphic (+/-acute onset) was constructed for number of days per week with insomnia. GS data were temporally matched to CI data. Segmented linear mixed regression models were applied to examine the change in slopes in the AI-to-CI period compared to GS-to-AI period.

resultsTwenty-three individuals transitioned to AI and then CI. Average TWT rose during the first 2 weeks of AI onset (b = 1.8, SE = 0.57, p = 0.001) and was then stable for 3 months (b = -0.02, SE = 0.04, p = 0.53). Average number of affected days was stable from AI to CI (b = 0.0005, SE = 0.002, p = 0.81). That is, while there was week-to-week variability in the number of days affected, no linear trend was evident.

conclusionsIn our sample of CIs, primarily with middle insomnia, the average severity and number of affected days were worst with the onset of AI (worst is first) and stable thereafter.

Indexed as

Sleep Initiation and Maintenance DisordersHumansPatient AcuitySleepTreatment Outcomeacute insomniachronic insomniainsomnia

Identifiers

PMID38310641
PMCPMC11009029

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.