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

Author:

Boyle Julia T12ORCID,Morales Knashawn H3,Muench Alexandria45,Ellis Jason6ORCID,Vargas Ivan7ORCID,Grandner Michael A8,Posner Donn910,Perlis Michael L45

Affiliation:

1. New England Geriatric Research Education and Clinical Center, VA Boston Healthcare System , Boston, MA , USA

2. Department of Psychiatry, Harvard Medical School , Boston, MA , USA

3. Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania , Philadelphia, PA , USA

4. Behavioral Sleep Medicine Program, Department of Psychiatry, University of Pennsylvania , Philadelphia, PA , USA

5. Chronobiology and Sleep Institute Department of Medicine, University of Pennsylvania , Philadelphia, PA , USA

6. Northumbria Centre for Sleep Research, Northumbria University , Newcastle , UK

7. Department of Psychological Science, University of Arkansas , Fayetteville, AR , USA

8. Sleep & Health Research Program, University of Arizona College of Medicine , Tucson, AZ , USA

9. Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine , Stanford, California , USA

10. Sleepwell Consultants , Newtonville, MA , USA

Abstract

Abstract Study Objectives The 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). Methods GSs (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. Results Twenty-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. Conclusions In 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.

Funder

National Institute on Aging

Publisher

Oxford University Press (OUP)

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