Habitual sleep as a contributor to racial differences in cardiometabolic risk
Proceedings of the National Academy of Sciences of the United States of America, ISSN: 1091-6490, Vol: 114, Issue: 33, Page: 8889-8894
2017
- 72Citations
- 111Captures
- 4Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations72
- Citation Indexes71
- 71
- CrossRef63
- Policy Citations1
- 1
- Captures111
- Readers111
- 111
- Mentions4
- Blog Mentions2
- 2
- News Mentions2
- 2
Most Recent Blog
How Indirect Violence Gets Under a Child’s Skin — and Into the Brain
The study found that cortisol levels were elevated the morning after a violent crime occurred nearby, suggesting that the body was anticipating more stress. “It could be hearing police sirens or seeing police cars driving by at night. It could be hearing about [the crime] from someone else," one researcher noted.
Most Recent News
Poor sleep among blacks linked to health disparities
Differences in preventable diseases among black and white Americans could be linked to a lack of sleep, according to a new study. Published Aug. 15
Article Description
Insufficient and disrupted sleep is linked with cardiovascular and metabolic dysregulation and morbidity. The current study examines the degree to which differences in sleep between black/ African American (AA) and white/European American (EA) adults explain racial differences in cardiometabolic (CMB) disease risk. Total sleep time and sleep efficiency (percent of time in bed asleep) were assessed via seven nights of wrist actigraphy among 426 participants in the Midlife in the United States Study (31% AA; 69% EA; 61% female; mean age = 56.8 y). CMB risk was indexed as a composite of seven biomarkers [blood pressure, waist circumference, hemoglobin A1c (HbA), insulin resistance, triglycerides, HDL cholesterol (HDL-C), and C-reactive protein]. Covariates included sociodemographic characteristics and relevant health behaviors. Results indicated that AAs relative to EAs obtained less sleep (341 vs. 381 min) and had lower sleep efficiency (72.3 vs. 82.2%) (P values < 0.001). Further, 41% and 58% of the racial difference in CMB risk was explained by sleep time and sleep efficiency, respectively. In models stratified by sex, race was indirectly associated with CMB risk via sleep time and efficiency only among females (explaining 33% and 65% of the race difference, respectively). Indirect effects were robust to alternative model specifications that excluded participants with diabetes or heart disease. Consideration of sleep determinants and sleep health is therefore needed in efforts to reduce racial differences in CMB disease.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85027406530&origin=inward; http://dx.doi.org/10.1073/pnas.1618167114; http://www.ncbi.nlm.nih.gov/pubmed/28760970; https://pnas.org/doi/full/10.1073/pnas.1618167114; https://dx.doi.org/10.1073/pnas.1618167114; https://www.pnas.org/content/114/33/8889
Proceedings of the National Academy of Sciences
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know