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Unfair treatment is associated with poor sleep in African American and Caucasian adults: Pittsburgh SleepSCORE project.

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TLDR
Perceptions of unfair treatment are associated with sleep disturbances in both African American and Caucasian adults and future studies are needed to identify the pathways that account for the association between unfair treatment and sleep.
Abstract
Objective—To test the association between self-reported unfair treatment and objective and selfreported sleep characteristics in African American and Caucasian adults. Design—Cross-sectional study of 97 African American and 113 Caucasian middle-aged adults. Main Outcome Measures—Participants completed: a) two night in-home, polysomnography (PSG) sleep study, b) sleep diaries and actigraph assessments across nine days and nights, and c) self-report measures of sleep quality in the past month, and daytime sleepiness in the past two weeks. Results—Greater unfair treatment was associated with reports of poorer self-reported sleep quality and greater daytime sleepiness, shorter sleep duration and lower sleep efficiency as

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Self-reported experiences of discrimination and health: scientific advances, ongoing controversies, and emerging issues.

TL;DR: Controversy remain, particularly around the best approach to measuring experiences of discrimination, the significance of racial/ethnic discrimination versus overall mistreatment, the need to account for "intersectionalities," and the importance of comprehensive assessments, along with emerging areas of emphasis.
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Sleep disparity, race/ethnicity, and socioeconomic position

TL;DR: The concept of race/ethnicity in biomedical research is contextualized and the potential role of socioeconomic position in the patterning of sleep is introduced, and future research directions to address this issue are proposed.
Journal ArticleDOI

Discrimination and sleep: a systematic review.

TL;DR: Existing studies demonstrate consistent evidence that discrimination is associated with poorer sleep outcomes, and this evidence base can be strengthened with additional prospective studies that incorporate objectively measured aspects of sleep.
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“Every shut eye, ain’t sleep”: The role of racism-related vigilance in racial/ethnic disparities in sleep difficulty

TL;DR: The results suggest that the anticipation of and perseveration about racial discrimination is an important determinant of racial disparities in health, and the importance of sleep quality to health is suggested.
Journal ArticleDOI

Intergroup relations and health disparities: a social psychological perspective.

TL;DR: A social psychological perspective illuminates the intergroup, interpersonal, and intrapersonal processes by which structural circumstances which differ between groups for historical, political, and economic reasons can lead to group differences in health.
References
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Journal ArticleDOI

The CES-D Scale: A Self-Report Depression Scale for Research in the General Population

TL;DR: The CES-D scale as discussed by the authors is a short self-report scale designed to measure depressive symptomatology in the general population, which has been used in household interview surveys and in psychiatric settings.

Manual for the State-Trait Anxiety Inventory

TL;DR: The STAI as mentioned in this paper is an indicator of two types of anxiety, the state and trait anxiety, and measure the severity of the overall anxiety level, which is appropriate for those who have at least a sixth grade reading level.
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The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research.

TL;DR: The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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A new method for measuring daytime sleepiness: the Epworth sleepiness scale.

TL;DR: The development and use of a new scale, the Epworth sleepiness scale (ESS), is described, which is a simple, self-administered questionnaire which is shown to provide a measurement of the subject's general level of daytime sleepiness.
Journal ArticleDOI

A comparison of methods to test mediation and other intervening variable effects.

TL;DR: A Monte Carlo study compared 14 methods to test the statistical significance of the intervening variable effect and found two methods based on the distribution of the product and 2 difference-in-coefficients methods have the most accurate Type I error rates and greatest statistical power.
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