Introduction Pain and inadequate sleep duration are prevalent among adults in the United States. ... more Introduction Pain and inadequate sleep duration are prevalent among adults in the United States. Both pain and inadequate sleep have been related to poorer quality of life and adverse health outcomes. However, the relationships of pain frequency and severity, modeled as predictors, to sleep duration have rarely been studied at the population level, particularly in the U.S. We aimed to investigate the relationships of both pain frequency and pain severity to sleep duration in a representative, population-based U.S. sample. Methods 2018 National Health Interview Survey data were analyzed. Self-reported sleep duration (on average) was categorized as short (6 hours or less), normal (7-9 hours), and long (10+ hours). Self-reported pain frequency (in the last three months) and pain severity (most recent event) were each categorized as “higher” and “lower or no”. Potential confounders/adjustment variables examined included age, sex, weight, chronic health conditions, race/ethnicity, depres...
Introduction Pain and inadequate sleep duration are prevalent among adults in the United States. ... more Introduction Pain and inadequate sleep duration are prevalent among adults in the United States. Both pain and inadequate sleep have been related to poorer quality of life and adverse health outcomes. However, the relationships of pain frequency and severity, modeled as predictors, to sleep duration have rarely been studied at the population level, particularly in the U.S. We aimed to investigate the relationships of both pain frequency and pain severity to sleep duration in a representative, population-based U.S. sample. Methods 2018 National Health Interview Survey data were analyzed. Self-reported sleep duration (on average) was categorized as short (6 hours or less), normal (7-9 hours), and long (10+ hours). Self-reported pain frequency (in the last three months) and pain severity (most recent event) were each categorized as “higher” and “lower or no”. Potential confounders/adjustment variables examined included age, sex, weight, chronic health conditions, race/ethnicity, depres...
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Papers by CHRISTEN DUNN