ArticleSleep2015
Natural history of excessive daytime sleepiness: role of obesity, weight loss, depression, and sleep propensity.
Article in Sleep, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 142 citations in OpenAlex.
- Epidemiology of sleep disturbances among medical students in the Middle East and North Africa: a systematic review and meta-analysis.Journal of global health · 2025Pooled it
- Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes.Nature communications · 2019Pooled it
- Determination of thresholds for minimally important difference and clinically important response on the functional outcomes of sleep questionnaire short version in adults with narcolepsy or obstructive sleep apnea.Sleep & breathing = Schlaf & Atmung · 2021Trial
- Relationship between sleep efficacy endpoints and measures of functional status and health-related quality of life in participants with narcolepsy or obstructive sleep apnea treated for excessive daytime sleepiness.Journal of sleep research · 2021Trial
- Data-driven derivation of a multidimensional sleep health framework in adolescents.Sleep health · 2026Article
- Over-hydration as a key modifiable predictor of obstructive sleep apnea severity in dialysis patients with daytime sleepiness.Medicine · 2026Article
- Sleep and obesity-known interactions and open questions.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026Review
- Cell-specific variant-to-gene mapping identifies conserved neural and glial regulators of sleep.bioRxiv : the preprint server for biology · 2026Article
- Changes in Self-Reported Excessive Daytime Sleepiness Are Associated With 5-Year All-Cause Mortality Risk Among Veterans.Journal of sleep research · 2026Article
- Clinical, polysomnographic, and psychological profiles across questionnaire-defined symptom groups in obstructive sleep apnea.Frontiers in medicine · 2026Article
- Subjective sleep quality in association with psychosocial resources and stressors in Germany - an exploratory data analysis of the NRW Health Survey 2024.Journal of health monitoring · 2026Article
- What are the important risk factors for excessive daytime sleepiness in a population-based cohort?Journal of sleep research · 2025Article
- The Condition of Subjective Daytime Sleepiness and Its Related Decline in Work Productivity Among Daytime Workers.Journal of epidemiology · 2025Article
- Multidimensional Sleep Health: Definitions and Implications for Cardiometabolic Health: A Scientific Statement From the American Heart Association.Circulation. Cardiovascular quality and outcomes · 2025Review
- Clinically available predictors of obstructive sleep apnoea requiring treatment in type 2 diabetes patients in primary care.Scientific reports · 2025Article
- Pathophysiological Models of Hypersomnolence Associated With Depression.Biological psychiatry global open science · 2025Review
- Association Between Daytime Sleepiness and Quality of Life in Chinese Adolescents: A Moderated Mediation of Cognitive Dysfunction and Depressive Symptoms.Neuropsychiatric disease and treatment · 2025Article
- The deficiencies of epworth sleepiness scale in the evaluation of excessive daytime sleepiness in obstructive sleep apnea and related factors.Sleep & breathing = Schlaf & Atmung · 2024Article
- Excessive Postprandial Sleepiness in Two Young Adults Effectively Treated with Antidiabetic Medications.Sleep science (Sao Paulo, Brazil) · 2024Article
- Napping and Obesity in Adults - What do we Know?Current diabetes reports · 2024Review
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
STUDY
objectivesExcessive daytime sleepiness (EDS) is highly prevalent in the general population and is associated with occupational and public safety hazards. However, no study has examined the clinical and polysomnographic (PSG) predictors of the natural history of EDS.
designRepresentative longitudinal study.
settingSleep laboratory.
participantsFrom a random, general population sample of 1,741 individuals of the Penn State Adult Cohort, 1,395 were followed up after 7.5 years. MEASUREMENTS AND
resultsFull medical evaluation and 1-night PSG at baseline and standardized telephone interview at follow-up. The incidence of EDS was 8.2%, while its persistence and remission were 38% and 62%, respectively. Obesity and weight gain were associated with the incidence and persistence of EDS, while weight loss was associated with its remission. Significant interactions between depression and PSG parameters on incident EDS showed that, in depressed individuals, incident EDS was associated with sleep disturbances, while in non-depressed individuals, incident EDS was associated with increased physiologic sleep propensity. Diabetes, allergy/ asthma, anemia, and sleep complaints also predicted the natural history of EDS.
conclusionsObesity, a disorder of epidemic proportions, is a major risk factor for the incidence and chronicity of EDS, while weight loss is associated with its remission. Interestingly, objective sleep disturbances predict incident EDS in depressed individuals, whereas physiologic sleep propensity predicts incident EDS in those without depression. Weight management and treatment of depression and sleep disorders should be part of our public health policies.
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What OpenQuestion holds
Registered trials
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.