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Shahab Haghayegh

Researcher at University of Texas at Austin

Publications -  24
Citations -  600

Shahab Haghayegh is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 8, co-authored 13 publications receiving 227 citations. Previous affiliations of Shahab Haghayegh include Harvard University & Sharif University of Technology.

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Sleep problems during COVID-19 pandemic and its’ association to psychological distress: A systematic review and meta-analysis

TL;DR: In this article, a systematic review and meta-analysis was conducted to estimate the magnitude of sleep problems during the COVID-19 pandemic and its relationship with psychological distress, finding that sleep problems were associated with higher levels of psychological distress.
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Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis.

TL;DR: Sleep-staging Fitbit models showed promising performance, especially in differentiating wake from sleep, although these models are a convenient and economical means for consumers to obtain gross estimates of sleep parameters and time spent in sleep stages, they are of limited specificity and are not a substitute for PSG.
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Before-bedtime passive body heating by warm shower or bath to improve sleep: A systematic review and meta-analysis

TL;DR: Findings are consistent with the mechanism of PBHWB effects being the extent of core body temperature decline achieved by increased blood perfusion to the palms and soles that augments the distal-to-proximal skin temperature gradient to enhance body heat dissipation.
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Accuracy of PurePulse photoplethysmography technology of Fitbit Charge 2 for assessment of heart rate during sleep.

TL;DR: It is concluded that Fitbit photoplethysmography suitably tracks HR during sleep in healthy young adults and effect of age, body mass index, gender, and subjective sleep quality measured by Pittsburgh sleep quality index on error in estimating HR by the Fitbit method was not significant.
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A comprehensive guideline for Bland-Altman and intra class correlation calculations to properly compare two methods of measurement and interpret findings.

TL;DR: The requirement to validate the assumptions of these statistical approaches, and also how to deal with violations and provide formulae on how to calculate the confidence interval for estimated values of agreement and intraclass correlation, is emphasized.