2013
DOI: 10.1007/s12170-013-0330-0
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Sleep and its Relationship to Racial and Ethnic Disparities in Cardiovascular Disease

Abstract: There are substantial racial/ethnic disparities in cardiovascular disease in the U.S., but few mechanisms have emerged as feasible intervention targets. A growing body of research suggests that racial/ethnic differences in sleep deficiency, including extreme sleep duration, sleep-disordered breathing, and insomnia, may help explain disparities in cardiovascular disease. However, little is known about the mechanisms underlying racial/ethnic disparities in sleep. In this article, we review the extant literature … Show more

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Cited by 78 publications
(45 citation statements)
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“…Another issue, pertinent to most occupational epidemiology studies, is the healthy worker/survivor effect [44] workers coping ineffectively with noise stress might have changed their job or even experienced a fatal event before the onset of diabetes, while diabetes itself could have Chinese sawmill workers had substantively higher risk of noise-attributed hypertension than those from the white race [29]. Since participants' noise exposure did not differ across ethnic groups, differences in the effect size could be attributed to some unaccounted for residual confounding such as nutritional habits, religious practices, access to healthcare [30], environmental sensitivity or sleep quality [31,32], which could be explored by additional analyses of the dataset. The literature also suggests ethnic and racial differences in the prevalence of hearing loss and hearing threshold levels [33,34], which could moderate the effects of noise.…”
Section: Discussionmentioning
confidence: 99%
“…Another issue, pertinent to most occupational epidemiology studies, is the healthy worker/survivor effect [44] workers coping ineffectively with noise stress might have changed their job or even experienced a fatal event before the onset of diabetes, while diabetes itself could have Chinese sawmill workers had substantively higher risk of noise-attributed hypertension than those from the white race [29]. Since participants' noise exposure did not differ across ethnic groups, differences in the effect size could be attributed to some unaccounted for residual confounding such as nutritional habits, religious practices, access to healthcare [30], environmental sensitivity or sleep quality [31,32], which could be explored by additional analyses of the dataset. The literature also suggests ethnic and racial differences in the prevalence of hearing loss and hearing threshold levels [33,34], which could moderate the effects of noise.…”
Section: Discussionmentioning
confidence: 99%
“…This delineation will likely require consideration of interactions among multi-level factors, and will be critical in identifying modifiable factors for intervention strategies to reduce disparities in sleep health. For example, occupational and psychosocial stress, level of acculturation, neighborhood conditions, work-life balance, co-morbid medical conditions, and cultural beliefs and knowledge regarding sleep may all contribute to racial/ethnic differences in sleep(1921). Most findings from population-based surveillance tools are based on self-reported sleep characteristics and symptoms, raising the possibility that cultural differences in reporting health information could account, in part, for some of the disparities identified in sleep health.…”
Section: 1 Sleep and Health Disparities Science: Emerging Opportunimentioning
confidence: 99%
“…The findings support previous work highlighting that socioeconomically vulnerable populations (e.g., Non-Hispanic-Blacks) may be at greater risk for sleep abnormalities, [17][18][19] a sub-group of individuals known to have greater environmental stressors throughout the lifecourse. [20][21][22] Sleep research should continue to study the relatively small (≈ 3.3%), but objectively large (≈ 4.3 million), understudied population of individuals who attempt to complete all their sleep during sunlight hours. This group of sleepers may provide unique insight on how sunlight, daytime noise, and atmospheric temperature play a role in the etiology of disease over the lifecourse.…”
Section: Resultsmentioning
confidence: 99%