Racial-ethnic Differences in Actigraphy, Questionnaire, and Polysomnography Indicators of Healthy Sleep: The Multi-Ethnic Study of Atherosclerosis

2021 ◽  
Author(s):  
Joon Chung ◽  
Matthew Goodman ◽  
Tianyi Huang ◽  
Meredith L Wallace ◽  
Dayna A Johnson ◽  
...  
Keyword(s):  
Slow Wave Sleep ◽  
Component Level ◽  
Sleep Health ◽  
Ethnic Study ◽  
Sleep Timing ◽  
Hispanic Adults ◽  
Sleep Assessment ◽  
Objectively Measured ◽  
White Adults ◽  
Racial Ethnic

Abstract A paradigm shift in sleep science argues for a systematic, multidimensional approach to investigate sleep’s association with disease and mortality and to address sleep disparities. We utilized the comprehensive sleep assessment of the Multi-Ethnic Study of Atherosclerosis (2010- 2013), a cohort of U.S. White, Black, Chinese, and Hispanic adults and older adults (n=1,736; mean age=68.3), to draw 13 sleep dimensions and create composite Sleep Health Scores to quantify multidimensional sleep health disparities. After age and sex adjustment in linear regression, compared to White participants, Black participants showed the greatest global sleep disparity, then Hispanic and Chinese participants. We estimated relative ‘risk’ of obtaining favorable sleep compared to White adults at the component level by race/ethnicity (lower is worse). The largest disparities were in objectively-measured sleep timing regularity (RRBlack [95% CI]: 0.37 [0.29,0.47], RRHispanic: 0.64 [0.52,0.78], RRChinese: 0.70 [0.54,0.90]) and duration regularity (RRBlack: 0.55 [0.47,0.65], RRHispanic: 0.76 [0.66,0.88], RRChinese: 0.74 [0.61,0.90]), after sex and age adjustment. Disparities in duration and continuity were also apparent, and Black adults were additionally disadvantaged in %N3 (slow wave sleep), sleepiness, and sleep timing (24-hour placement). Sleep timing regularity, duration regularity, duration, and continuity may comprise a multidimensional cluster of targets to reduce racial-ethnic sleep disparities.

scholarly journals 0363 Racial/Ethnic Differences in Actigraphy, Questionnaire, and Polysomnography-Measured Indicators of Sleep Health and Sleep Quality: The Multi-Ethnic Study of Atherosclerosis

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A138-A139
Author(s):  
J Chung ◽  
M O Goodman ◽  
T Huang ◽  
M Wallace ◽  
S Bertisch ◽  
...  
Keyword(s):  
Total Sleep Time ◽  
Sleep Onset ◽  
Well Being ◽  
Sleep Time ◽  
Lower Probability ◽  
Sleep Onset Latency ◽  
Sleep Health ◽  
Ethnic Study ◽  
Sleep Continuity ◽  
Racial Ethnic

Abstract Introduction Paradigm shifts in sleep research suggest the importance of considering multi-dimensional sleep health, compared to single metrics, to promote physical and mental well-being and to understand racial/ethnic disparities in sleep. Methods We used data from the Multi-Ethnic Study of Atherosclerosis (MESA; n = 1,740) to create a Sleep Health Score (SHS), including questionnaire (quality, sleepiness); 7-day actigraphy (total sleep time, sleep continuity [sleep maintenance efficiency], timing consistency [midpoint variability], fragmentation, wake after sleep onset, sleep onset latency); and in-home polysomnography (%N3 sleep, %REM sleep, AHI). Sleep parameters were dichotomized based on prior literature or by healthiest quartile(s), with positive values denoting healthier sleep (e.g. Epworth scores < 10). All 11 dichotomized parameters were summed to calculate the SHS (mean=4.9, sd=1.58). We used modified Poisson and linear regression for individual sleep outcomes and the SHS, respectively, adjusting for age and sex. Results The sample was older (mean age=68.28, sd=9.08) and 54% female. SHSs were associated with Black race (β=-0.60 [-0.78, -0.42]) and Hispanic ethnicity (β=-0.40 [-0.59, -0.21]), but not Chinese ethnicity (β=-0.16 [-0.41, 0.08]). Compared to Whites (n=644), Blacks (n=485) showed lower adjusted probability of obtaining favorable levels of: sleep continuity, fragmentation, timing consistency, alertness/sleepiness, and sleep depth (%N3 sleep). Chinese respondents (n=202) had lower probability of obtaining favorable levels of: sleep continuity and timing consistency, but higher probability of quality. Hispanics (n=409) had lower probability of obtaining healthy levels of: sleep continuity, timing consistency, and fragmentation. Neither healthy total sleep time (middle quartiles) nor AHI (<30) differed by race/ethnicity. Conclusion Among MESA-Sleep participants, summary SHSs were lowest in Blacks, followed by Hispanics. Multiple dimensions of sleep - particularly related to continuity and timing consistency - were less favorable across race/ethnic minority groups. A summary SHS may help monitor sleep health across populations, while measurement of specific sleep components may help identify modifiable targets. Support Joon Chung is supported by a T-32 NIH training grant.

Racial/ethnic differences in knowledge and attitudes towards clinical trials among adults in the United States: An analysis of the 2020 U.S. HINTS.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18573-e18573
Author(s):  
Jessica Yasmine Islam ◽  
Denise Christina Vidot ◽  
Imran K Islam ◽  
Argelis Rivera ◽  
Marlene Camacho-Rivera
Keyword(s):  
Health Care ◽  
Clinical Trial ◽  
Clinical Trials ◽  
Cancer Survivors ◽  
Ethnic Differences ◽  
Black Adults ◽  
Cancer History ◽  
Knowledge And Attitudes ◽  
White Adults ◽  
Racial Ethnic

e18573 Background: Despite the use of clinical trials to provide gold-standard evidence of treatment and intervention effectiveness, racial/ethnic minorities are frequently underrepresented participants. Our objective was to evaluate racial/ethnic differences in knowledge and attitudes towards clinical trials among adults in the U.S. Methods: We leveraged Health Informational National Trends Survey (HINTS) data, which is a weighted, nationally representative survey of 3865 adults (≥18 years). Data were collected between February-June 2020, and included age, race/ethnicity, sex, cancer history, and comorbidities. Participants were asked questions focused on clinical trials, including their knowledge, influential factors to participate, trusted sources of information, and if they were ever invited or participated in a clinical trial. Among adults who self-reported to have heard of clinical trials (n = 2366), we used multivariable logistic regression to evaluate racial/ethnic differences in self-reported invitation and participation in clinical trials after adjustment for cancer history, age, sex, comorbidities, and insurance status. Results: Overall, the sample included 64% non-Hispanic (NH) White, 11% NH-Black, 17% Hispanic, and 5% NH-Asian respondents. Nine percent were cancer survivors. Almost 60% self-reported to at least have some knowledge about clinical trials. When asked about factors that would influence their decision to participate in clinical trials “A lot”, participants across racial groups most frequently chose “I would want to get better” and “If the standard care was not covered by my insurance.” Cancer survivors also frequently reported their decision would be influenced “A lot” or “Somewhat” if “My doctor encouraged me to participate.” NH-White (76%), NH-Black (78%), and Hispanic (77%) cancer survivors reported their trusted source of information about clinical trials was their health care provider; NH-Asian cancer survivors reported their health care provider (51%) as well as government health agencies (30%). Compared to NH-White adults, NH-Black adults were more likely to be invited to participate in a clinical trial (OR: 2.60, 95% CI: 1.53-4.43). However, compared to NH-White adults, our data suggest NH-Black adults were less likely to participate in the clinical trial (OR: 0.76, 95% CI: 0.39-1.49) although not statistically significant. Compared to NH-White adults, NH-Asian adults were less likely to participate in clinical trials (OR: 0.10, 95% CI: 0.06-0.18). Conclusions: Health care providers are a trusted source of clinical trial information. Although NH-Black adults are more likely to be invited, they are less likely to participate in a clinical trial; as well as Asian adults. Efforts to leverage insights gained on factors of influence and sources of trusted information on clinical trials should be prioritized.

scholarly journals Associations of Neighborhood Characteristics with Sleep Timing and Quality: The Multi-Ethnic Study of Atherosclerosis

SLEEP ◽  
2013 ◽  
Vol 36 (10) ◽  
pp. 1543-1551 ◽  
Author(s):  
Amy S. DeSantis ◽  
Ana V. Diez Roux ◽  
Kari Moore ◽  
Kelly G. Baron ◽  
Mahasin S. Mujahid ◽  
...  
Keyword(s):  
Neighborhood Characteristics ◽  
Ethnic Study ◽  
Sleep Timing

scholarly journals Objectively measured sleep characteristics and prevalence of coronary artery calcification: the Multi-Ethnic Study of Atherosclerosis Sleep study

Thorax ◽  
2015 ◽  
Vol 70 (9) ◽  
pp. 880-887 ◽  
Author(s):  
Pamela L Lutsey ◽  
Robyn L McClelland ◽  
Daniel Duprez ◽  
Steven Shea ◽  
Eyal Shahar ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Coronary Artery Calcification ◽  
Sleep Study ◽  
Ethnic Study ◽  
Objectively Measured

scholarly journals Is Sleep Timing Related to Objectively Measured Physical Activity and Sedentary Behavior in Older Women?

2021 ◽  
Vol Volume 13 ◽  
pp. 1377-1381
Author(s):  
Wan-Chi Huang ◽  
Chia-Shuan Chang ◽  
Chien-Yu Lin ◽  
Ting-Fu Lai ◽  
Ming-Chun Hsueh ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Older Women ◽  
Sleep Timing ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

scholarly journals Trends in Cardiovascular Disease by Asian American, Native Hawaiian, and Pacific Islander Ethnicity, Medicare Health Outcomes Survey 2011–2015

2021 ◽  
Author(s):  
Lan N Đoàn ◽  
Yumie Takata ◽  
Karen Hooker ◽  
Carolyn Mendez-Luck ◽  
Veronica L Irvin
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Health Outcomes ◽  
Asian American ◽  
Native Hawaiian ◽  
Pacific Islander ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
White Adults ◽  
Racial Ethnic

Abstract Background The burden of cardiovascular disease (CVD) is increasing in the aging population. However, little is known about CVD risk factors and outcomes for Asian American, Native Hawaiian, and Other Pacific Islander (NH/PI) older adults by disaggregated subgroups. Methods Data were from the Centers for Medicare and Medicaid Services 2011–2015 Health Outcomes Survey, which started collecting expanded racial/ethnic data in 2011. Guided by Andersen and Newman’s theoretical framework, multivariable logistic regression analyses were conducted to examine the prevalence and determinants of CVD risk factors (obesity, diabetes, smoking status, hypertension) and CVD conditions (coronary artery disease [CAD], congestive heart failure [CHF], myocardial infarction [MI], other heart conditions, stroke) for 10 Asian American and NH/PI subgroups and White adults. Results Among the 639 862 respondents, including 26 853 Asian American and 4 926 NH/PI adults, 13% reported CAD, 7% reported CHF, 10% reported MI, 22% reported other heart conditions, and 7% reported stroke. CVD risk factors varied by Asian American and NH/PI subgroup. The prevalence of overweight, obesity, diabetes, and hypertension was higher among most Asian American and NH/PI subgroups than White adults. After adjustment, Native Hawaiians had significantly greater odds of reporting stroke than White adults. Conclusions More attention should focus on NH/PIs as a priority population based on the disproportionate burden of CVD risk factors compared with their White and Asian American counterparts. Future research should disaggregate racial/ethnic data to provide accurate depictions of CVD and investigate the development of CVD risk factors in Asian Americans and NH/PIs over the life course.

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