2021
DOI: 10.1111/jsr.13497
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Association between sleep characteristics, ideal cardiovascular health, and systemic inflammation, NHANES 2017–2018

Abstract: Inadequate sleep is an on-going public health problem, with nearly one-third of adults in the United States reporting sleeping <7 h per night (Liu et al., 2016). Working non-traditional hours (i.e., outside of 9:00 a.m.-5:00 p.m., Monday to Friday), such as shift work and night shift, is an upstream risk factor for inadequate sleep, sleep deprivation, and high sleep debt -defined as a ≥2 h difference between the mean daily weekday and weekend sleep duration (Cabeza de Baca et al., 2019;Kuhn, 2001). The long-te… Show more

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Cited by 8 publications
(14 citation statements)
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“…Sleep debt and social jet lag were both expressed as absolute differences and were further dichotomized as low (<2 hours) or high (≥2 hours) for sleep debt and as mild (<2 hours) or heavy (≥2 hours) for social jet lag, as done in prior studies. 8 , 17 , 18 , 19 …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Sleep debt and social jet lag were both expressed as absolute differences and were further dichotomized as low (<2 hours) or high (≥2 hours) for sleep debt and as mild (<2 hours) or heavy (≥2 hours) for social jet lag, as done in prior studies. 8 , 17 , 18 , 19 …”
Section: Methodsmentioning
confidence: 99%
“…Sleep debt and social jet lag were both expressed as absolute differences and were further dichotomized as low (<2 hours) or high (Ն2 hours) for sleep debt and as mild (<2 hours) or heavy (Ն2 hours) for social jet lag, as done in prior studies. 8,[17][18][19] The sleep disturbances questions by in-home interviews fall into 3 general categories: breathing problem during sleep, sleep difficulty, and daytime sleepiness. Given the investigation method that the interviewers directly asked the participants themselves, this study only included trouble sleeping and daytime sleepiness as sleep disturbances for the data reliability and clinical relevance.…”
Section: Jama Network Open | Public Healthmentioning
confidence: 99%
“…On the other hand, our study also draws upon a number of strengths. Our data stem from a nationally representative dataset (National Health and Nutrition Examination Survey) that has been often used to investigate health-related questions in shift-working populations [ 23 , 24 , 25 , 26 , 27 , 28 ]. Research investigating GI health in shift workers using U.S. data is generally scarce, and we tried to address this gap in the literature with our study.…”
Section: Discussionmentioning
confidence: 99%
“…This ongoing program is funded by the National Center for Health Statistics (NCHS) of the CDC [ 21 ]. NHANES is one of the world’s largest cross-sectional studies in terms of study size, diversity, and data accessibility [ 22 ], and data from the NHANES has often been used to analyze health-related questions in shift-working populations [ 23 , 24 , 25 , 26 , 27 , 28 ]. The NHANES is a nationally representative survey for the noninstitutionalized U.S. civilian population of all ages residing in all 50 states and Washington D.C. [ 29 ].…”
Section: Methodsmentioning
confidence: 99%
“…The NHANES is one of the largest and most important cross-sectional studies in terms of participant size, scope, ethical diversity, and free data accessibility [ 24 ]. Scientists worldwide have used NHANES data in the past to examine health-related questions in shift-working populations [ 25 , 26 , 27 , 28 ]. As a corollary, NHANES has contributed extensively to the assessment of potential associations between nutrition and numerous health outcomes in shift workers [ 25 ].…”
Section: Methodsmentioning
confidence: 99%