| Literature DB >> 33089309 |
Galit Levi Dunietz, Erica C Jansen, Shelley Hershner, Louise M O'Brien, Karen E Peterson, Ana Baylin.
Abstract
Sleep has been consistently linked to health outcomes in clinical studies, but only in recent years has sleep become a focus in epidemiologic studies and public health. In particular, the sizable prevalence of insufficient sleep in the population warrants well-designed epidemiologic studies to examine its impact on public health. As a developing field, sleep epidemiology encounters methodological challenges similar to those faced by nutritional epidemiology research. In this article, we describe a few central challenges related to assessment of sleep duration in population-based studies in comparison with measurement challenges in nutritional epidemiology. In addition, we highlight 3 strategies applied in nutritional epidemiology to address measurement challenges and suggest ways these strategies could be implemented in large-scale sleep investigations.Entities:
Keywords: calibration; causal diagrams; directed acyclic graph; measurement error; method of triads; nutritional epidemiology; sleep epidemiology
Mesh:
Year: 2021 PMID: 33089309 PMCID: PMC8168107 DOI: 10.1093/aje/kwaa230
Source DB: PubMed Journal: Am J Epidemiol ISSN: 0002-9262 Impact factor: 4.897