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Ronald D. Chervin

Researcher at University of Michigan

Publications -  290
Citations -  24609

Ronald D. Chervin is an academic researcher from University of Michigan. The author has contributed to research in topics: Obstructive sleep apnea & Polysomnography. The author has an hindex of 68, co-authored 268 publications receiving 21466 citations. Previous affiliations of Ronald D. Chervin include University of Pennsylvania.

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How Many Children with ADHD Have Sleep Apnea or Periodic Leg Movements on Polysomnography

TL;DR: It is concluded that obstructive sleep apnea and periodic leg movement disorder are not common findings or etiological factors in ADHD patients, and the authors point out that these discrepancies could result from differences in how hyperactivity was defined, or from confounds and other limitations in selected previous studies that the authors reviewed.
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Fatigue in the acute phase after first stroke predicts poorer physical health 18 months laterAuthor Response

TL;DR: Given the high prevalence of OSA in acute stroke, it was surprised that data on OSA or OSA symptoms were not reported, and sleep disorders, and obstructive sleep apnea in particular, could help to explain the reported observations.
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Short sleep duration is associated with insulin resistance independent of adiposity in Chinese adult twins.

TL;DR: In this rural Chinese cohort, short sleep duration is independently associated with increased insulin resistance among women only, even after adjusting for adiposity and other potential confounders.
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Sleep, performance and behaviour in Australian indigenous and non-indigenous children: an exploratory comparison.

TL;DR: This study compares sleep in indigenous and non‐indigenous children and investigates potential effects on school performance and daytime behaviour.
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Sleep stage dynamics differ between children with and without obstructive sleep apnea.

TL;DR: Durations of uninterrupted sleep and specific sleep stages appear to follow exponential distributions in children with or without SDB, and Parameters that describe these distributions--particularly mean duration of stage 2 sleep periods--may provide useful additions to standard sleep stage analyses.