Journal
AMERICAN JOURNAL OF EPIDEMIOLOGY
Volume 190, Issue 6, Pages 954-961Publisher
OXFORD UNIV PRESS INC
DOI: 10.1093/aje/kwaa230
Keywords
calibration; causal diagrams; directed acyclic graph; measurement error; method of triads; nutritional epidemiology; sleep epidemiology
Categories
Funding
- National Institute of Neurological Disorders and Stroke [T32 NS007222]
- F32 National Research Service Award from the Eunice Kennedy Shriver National Institute of Child Health and Human Development [F32 HD091938]
- National Heart, Lung, and Blood Institute [K01 HL144914]
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Sleep has significant impact on public health, and sleep epidemiology faces challenges similar to nutritional epidemiology research. Strategies used in combating measurement challenges in nutritional epidemiology may also be applicable in large-scale sleep investigations.
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.
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