The Experts below are selected from a list of 1226520 Experts worldwide ranked by ideXlab platform
Brooke Aggarwal - One of the best experts on this subject based on the ideXlab platform.
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a mediterranean dietary pattern predicts better sleep quality in us women from the american heart association go red for women strategically Focused Research network
Nutrients, 2020Co-Authors: Faris M Zuraikat, Nour Makarem, Mariepierre Stonge, Alekha Akkapeddi, Brooke AggarwalAbstract:Consumption of a Mediterranean diet has been linked to better sleep health in older, European populations. However, whether this dietary pattern is predictive of sleep quality in US women, a group prone to poor sleep, is unknown. This prospective cohort study of 432 US women (20–76 y; 60% racial/ethnic minority) evaluated whether compliance with a Mediterranean diet at baseline predicted sleep quality at 1-y follow-up. Alternate Mediterranean (aMed) diet scores and habitual sleep quality were computed from the validated Block Brief Food Frequency Questionnaire and Pittsburgh Sleep Quality Index (PSQI), respectively. Linear regression models evaluated prospective associations of the aMed diet pattern and its components with measures of sleep quality, after adjustment for age, BMI, race/ethnicity, education, and health insurance status. Higher baseline aMed scores were associated with lower PSQI scores (β = −0.30 ± 0.10, p < 0.01), indicative of better sleep quality, higher sleep efficiency (β = 1.20 ± 0.35, p < 0.001), and fewer sleep disturbances (β = −0.30 ± 0.12, p = 0.01) at 1-y. Fruit and vegetable consumption also predicted lower PSQI scores, higher sleep efficiency and fewer sleep disturbances (all p < 0.05). Higher legume intake predicted better sleep efficiency (β = 1.36 ± 0.55, p = 0.01). These findings suggest that adherence to a Mediterranean diet pattern should be evaluated as a strategy to promote sleep quality in US women.
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association of sleep characteristics with cardiovascular health among women and differences by race ethnicity and menopausal status findings from the american heart association go red for women strategically Focused Research network
Sleep Health, 2019Co-Authors: Nour Makarem, Mariepierre Stonge, Ming Liao, Donald M Lloydjones, Brooke AggarwalAbstract:Abstract Background and Objective Sleep is an emerging risk factor for cardiovascular disease (CVD) that is not currently included as a cardiovascular health (CVH) metric in the American Heart Association’s Life’s Simple 7 (AHA LS7). Our objective was to evaluate the association of sleep with CVH in women and examine differences by menopausal status and race/ethnicity. Methods Baseline data from the Columbia University AHA Go Red for Women Strategically Focused Research Network were examined. Sleep habits were self-reported using validated questionnaires. A CVH score was computed using AHA LS7 criteria for smoking, diet, physical activity, BMI, blood pressure(BP), total cholesterol, and fasting glucose. Women received a score of 2 (ideal), 1 (intermediate), or 0 (poor) based on their level of meeting each AHA LS7 metric. Multivariable-adjusted regression models were used to evaluate associations of sleep with meeting overall and individual CVH metrics. Results The analytical sample consisted of n = 507 women (62% minority/Hispanic, mean age:37 y). Participants with adequate sleep duration (≥7 h), good sleep quality, no insomnia nor snoring, and low risk for OSA were more likely to meet >4 of the AHA LS7 metrics (P 300% higher odds of having poor CVH (P ≤ .03). Associations were stronger in post-menopausal and racial/ethnic minority women. Conclusions Better sleep habits were associated with more favorable CVH among women, suggesting that there may be benefit in incorporating sleep assessment into CVD risk screening.
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Association of sleep characteristics with cardiovascular health among women and differences by race/ethnicity and menopausal status: findings from the American Heart Association Go Red for Women Strategically Focused Research Network.
Sleep health, 2019Co-Authors: Nour Makarem, Ming Liao, Marie-pierre St-onge, Donald M. Lloyd-jones, Brooke AggarwalAbstract:Abstract Background and Objective Sleep is an emerging risk factor for cardiovascular disease (CVD) that is not currently included as a cardiovascular health (CVH) metric in the American Heart Association’s Life’s Simple 7 (AHA LS7). Our objective was to evaluate the association of sleep with CVH in women and examine differences by menopausal status and race/ethnicity. Methods Baseline data from the Columbia University AHA Go Red for Women Strategically Focused Research Network were examined. Sleep habits were self-reported using validated questionnaires. A CVH score was computed using AHA LS7 criteria for smoking, diet, physical activity, BMI, blood pressure(BP), total cholesterol, and fasting glucose. Women received a score of 2 (ideal), 1 (intermediate), or 0 (poor) based on their level of meeting each AHA LS7 metric. Multivariable-adjusted regression models were used to evaluate associations of sleep with meeting overall and individual CVH metrics. Results The analytical sample consisted of n = 507 women (62% minority/Hispanic, mean age:37 y). Participants with adequate sleep duration (≥7 h), good sleep quality, no insomnia nor snoring, and low risk for OSA were more likely to meet >4 of the AHA LS7 metrics (P 300% higher odds of having poor CVH (P ≤ .03). Associations were stronger in post-menopausal and racial/ethnic minority women. Conclusions Better sleep habits were associated with more favorable CVH among women, suggesting that there may be benefit in incorporating sleep assessment into CVD risk screening.
Nour Makarem - One of the best experts on this subject based on the ideXlab platform.
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a mediterranean dietary pattern predicts better sleep quality in us women from the american heart association go red for women strategically Focused Research network
Nutrients, 2020Co-Authors: Faris M Zuraikat, Nour Makarem, Mariepierre Stonge, Alekha Akkapeddi, Brooke AggarwalAbstract:Consumption of a Mediterranean diet has been linked to better sleep health in older, European populations. However, whether this dietary pattern is predictive of sleep quality in US women, a group prone to poor sleep, is unknown. This prospective cohort study of 432 US women (20–76 y; 60% racial/ethnic minority) evaluated whether compliance with a Mediterranean diet at baseline predicted sleep quality at 1-y follow-up. Alternate Mediterranean (aMed) diet scores and habitual sleep quality were computed from the validated Block Brief Food Frequency Questionnaire and Pittsburgh Sleep Quality Index (PSQI), respectively. Linear regression models evaluated prospective associations of the aMed diet pattern and its components with measures of sleep quality, after adjustment for age, BMI, race/ethnicity, education, and health insurance status. Higher baseline aMed scores were associated with lower PSQI scores (β = −0.30 ± 0.10, p < 0.01), indicative of better sleep quality, higher sleep efficiency (β = 1.20 ± 0.35, p < 0.001), and fewer sleep disturbances (β = −0.30 ± 0.12, p = 0.01) at 1-y. Fruit and vegetable consumption also predicted lower PSQI scores, higher sleep efficiency and fewer sleep disturbances (all p < 0.05). Higher legume intake predicted better sleep efficiency (β = 1.36 ± 0.55, p = 0.01). These findings suggest that adherence to a Mediterranean diet pattern should be evaluated as a strategy to promote sleep quality in US women.
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association of sleep characteristics with cardiovascular health among women and differences by race ethnicity and menopausal status findings from the american heart association go red for women strategically Focused Research network
Sleep Health, 2019Co-Authors: Nour Makarem, Mariepierre Stonge, Ming Liao, Donald M Lloydjones, Brooke AggarwalAbstract:Abstract Background and Objective Sleep is an emerging risk factor for cardiovascular disease (CVD) that is not currently included as a cardiovascular health (CVH) metric in the American Heart Association’s Life’s Simple 7 (AHA LS7). Our objective was to evaluate the association of sleep with CVH in women and examine differences by menopausal status and race/ethnicity. Methods Baseline data from the Columbia University AHA Go Red for Women Strategically Focused Research Network were examined. Sleep habits were self-reported using validated questionnaires. A CVH score was computed using AHA LS7 criteria for smoking, diet, physical activity, BMI, blood pressure(BP), total cholesterol, and fasting glucose. Women received a score of 2 (ideal), 1 (intermediate), or 0 (poor) based on their level of meeting each AHA LS7 metric. Multivariable-adjusted regression models were used to evaluate associations of sleep with meeting overall and individual CVH metrics. Results The analytical sample consisted of n = 507 women (62% minority/Hispanic, mean age:37 y). Participants with adequate sleep duration (≥7 h), good sleep quality, no insomnia nor snoring, and low risk for OSA were more likely to meet >4 of the AHA LS7 metrics (P 300% higher odds of having poor CVH (P ≤ .03). Associations were stronger in post-menopausal and racial/ethnic minority women. Conclusions Better sleep habits were associated with more favorable CVH among women, suggesting that there may be benefit in incorporating sleep assessment into CVD risk screening.
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Association of sleep characteristics with cardiovascular health among women and differences by race/ethnicity and menopausal status: findings from the American Heart Association Go Red for Women Strategically Focused Research Network.
Sleep health, 2019Co-Authors: Nour Makarem, Ming Liao, Marie-pierre St-onge, Donald M. Lloyd-jones, Brooke AggarwalAbstract:Abstract Background and Objective Sleep is an emerging risk factor for cardiovascular disease (CVD) that is not currently included as a cardiovascular health (CVH) metric in the American Heart Association’s Life’s Simple 7 (AHA LS7). Our objective was to evaluate the association of sleep with CVH in women and examine differences by menopausal status and race/ethnicity. Methods Baseline data from the Columbia University AHA Go Red for Women Strategically Focused Research Network were examined. Sleep habits were self-reported using validated questionnaires. A CVH score was computed using AHA LS7 criteria for smoking, diet, physical activity, BMI, blood pressure(BP), total cholesterol, and fasting glucose. Women received a score of 2 (ideal), 1 (intermediate), or 0 (poor) based on their level of meeting each AHA LS7 metric. Multivariable-adjusted regression models were used to evaluate associations of sleep with meeting overall and individual CVH metrics. Results The analytical sample consisted of n = 507 women (62% minority/Hispanic, mean age:37 y). Participants with adequate sleep duration (≥7 h), good sleep quality, no insomnia nor snoring, and low risk for OSA were more likely to meet >4 of the AHA LS7 metrics (P 300% higher odds of having poor CVH (P ≤ .03). Associations were stronger in post-menopausal and racial/ethnic minority women. Conclusions Better sleep habits were associated with more favorable CVH among women, suggesting that there may be benefit in incorporating sleep assessment into CVD risk screening.
Mariepierre Stonge - One of the best experts on this subject based on the ideXlab platform.
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a mediterranean dietary pattern predicts better sleep quality in us women from the american heart association go red for women strategically Focused Research network
Nutrients, 2020Co-Authors: Faris M Zuraikat, Nour Makarem, Mariepierre Stonge, Alekha Akkapeddi, Brooke AggarwalAbstract:Consumption of a Mediterranean diet has been linked to better sleep health in older, European populations. However, whether this dietary pattern is predictive of sleep quality in US women, a group prone to poor sleep, is unknown. This prospective cohort study of 432 US women (20–76 y; 60% racial/ethnic minority) evaluated whether compliance with a Mediterranean diet at baseline predicted sleep quality at 1-y follow-up. Alternate Mediterranean (aMed) diet scores and habitual sleep quality were computed from the validated Block Brief Food Frequency Questionnaire and Pittsburgh Sleep Quality Index (PSQI), respectively. Linear regression models evaluated prospective associations of the aMed diet pattern and its components with measures of sleep quality, after adjustment for age, BMI, race/ethnicity, education, and health insurance status. Higher baseline aMed scores were associated with lower PSQI scores (β = −0.30 ± 0.10, p < 0.01), indicative of better sleep quality, higher sleep efficiency (β = 1.20 ± 0.35, p < 0.001), and fewer sleep disturbances (β = −0.30 ± 0.12, p = 0.01) at 1-y. Fruit and vegetable consumption also predicted lower PSQI scores, higher sleep efficiency and fewer sleep disturbances (all p < 0.05). Higher legume intake predicted better sleep efficiency (β = 1.36 ± 0.55, p = 0.01). These findings suggest that adherence to a Mediterranean diet pattern should be evaluated as a strategy to promote sleep quality in US women.
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impact of change in bedtime variability on body composition and inflammation secondary findings from the go red for women strategically Focused Research network
International Journal of Obesity, 2020Co-Authors: Mariepierre Stonge, Ayanna Campbell, Faris M Zuraikat, Bin Cheng, Riddhi Shah, Jeffrey S Berger, Rosemary V Sampogna, Sanja JelicAbstract:Variability in daily sleep patterns is an emerging factor linked to metabolic syndrome. However, whether reducing bedtime variability improves markers of disease risk has not been tested. Here, we assessed whether body composition and inflammation were impacted by changes in bedtime variability over a 6-week period, during which, women were instructed to maintain healthy, habitual sleep (HS) patterns (one arm of a randomized trial). Data were available for 37 women (age 34.9 ± 12.4 years, BMI 24.7 ± 2.9 kg/m2, sleep duration 7.58 ± 0.49 h/night). Body composition and leukocyte platelet aggregates (LPA) were measured at baseline and endpoint using magnetic resonance imaging and flow cytometry, respectively. Sleep data were collected daily using wrist actigraphy. Change in bedtime variability was calculated as the difference in the standard deviation (SD) of bedtimes measured during the 2-week screening period and the 6-week intervention period. Results showed that women who reduced their bedtime variability (n = 29) during the intervention had reductions in total (P < 0.001) and subcutaneous adipose tissue (P < 0.001) relative to women who increased/maintained (n = 8) bedtime variability. Similar effects were observed for LPA levels between women who reduced vs increased/maintained bedtime variability (P = 0.011). Thus, reducing bedtime variability, without changing sleep duration, could improve cardiometabolic health by reducing adiposity and inflammation.
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abstract mp19 impact of change in bedtime variability on body composition secondary findings from the go red for women strategically Focused Research network
Circulation, 2020Co-Authors: Mariepierre Stonge, Ayanna Campbell, Faris M Zuraikat, Bin ChengAbstract:Variability in daily sleep duration and unstable bedtimes are emerging sleep-related factors that have been linked to metabolic syndrome. For example, in longitudinal studies, the odds of developin...
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association of sleep characteristics with cardiovascular health among women and differences by race ethnicity and menopausal status findings from the american heart association go red for women strategically Focused Research network
Sleep Health, 2019Co-Authors: Nour Makarem, Mariepierre Stonge, Ming Liao, Donald M Lloydjones, Brooke AggarwalAbstract:Abstract Background and Objective Sleep is an emerging risk factor for cardiovascular disease (CVD) that is not currently included as a cardiovascular health (CVH) metric in the American Heart Association’s Life’s Simple 7 (AHA LS7). Our objective was to evaluate the association of sleep with CVH in women and examine differences by menopausal status and race/ethnicity. Methods Baseline data from the Columbia University AHA Go Red for Women Strategically Focused Research Network were examined. Sleep habits were self-reported using validated questionnaires. A CVH score was computed using AHA LS7 criteria for smoking, diet, physical activity, BMI, blood pressure(BP), total cholesterol, and fasting glucose. Women received a score of 2 (ideal), 1 (intermediate), or 0 (poor) based on their level of meeting each AHA LS7 metric. Multivariable-adjusted regression models were used to evaluate associations of sleep with meeting overall and individual CVH metrics. Results The analytical sample consisted of n = 507 women (62% minority/Hispanic, mean age:37 y). Participants with adequate sleep duration (≥7 h), good sleep quality, no insomnia nor snoring, and low risk for OSA were more likely to meet >4 of the AHA LS7 metrics (P 300% higher odds of having poor CVH (P ≤ .03). Associations were stronger in post-menopausal and racial/ethnic minority women. Conclusions Better sleep habits were associated with more favorable CVH among women, suggesting that there may be benefit in incorporating sleep assessment into CVD risk screening.
Rajendra A. Morey - One of the best experts on this subject based on the ideXlab platform.
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Acute effects of trauma-Focused Research procedures on participant safety and distress
Psychiatry research, 2013Co-Authors: Vanessa M. Brown, Jennifer L. Strauss, Kevin S. Labar, Andrea L. Gold, Gregory Mccarthy, Rajendra A. MoreyAbstract:Abstract The ethical conduct of Research on posttraumatic stress disorder (PTSD) requires assessing the risks to study participants. Some previous findings suggest that patients with PTSD report higher distress compared to non-PTSD participants after trauma-Focused Research. However, the impact of study participation on participant risk, such as suicidal/homicidal ideation and increased desire to use drugs or alcohol, has not been adequately investigated. Furthermore, systematic evaluation of distress using pre- and post-study assessments, and the effects of study procedures involving exposure to aversive stimuli, are lacking. Individuals with a history of PTSD ( n =68) and trauma-exposed non-PTSD controls ( n =68) responded to five questions about risk and distress before and after participating in Research procedures including a PTSD diagnostic interview and a behavioral task with aversive stimuli consisting of mild electrical shock. The desire to use alcohol or drugs increased modestly with study participation among the subgroup ( n =48) of participants with current PTSD. Participation in these Research procedures was not associated with increased distress or participant risk, nor did study participation interact with lifetime PTSD diagnosis. These results suggest some increase in distress with active PTSD but a participant risk profile that supports a favorable risk–benefit ratio for conducting Research in individuals with PTSD.
Steffen Heyne - One of the best experts on this subject based on the ideXlab platform.
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Freiburg RNA tools: a central online resource for RNA-Focused Research and teaching.
Nucleic acids research, 2018Co-Authors: Martin Raden, Syed M Ali, Omer S Alkhnbashi, Anke Busch, Fabrizio Costa, Jason A Davis, Florian Eggenhofer, Rick Gelhausen, Jens Georg, Steffen HeyneAbstract:The Freiburg RNA tools webserver is a well established online resource for RNA-Focused Research. It provides a unified user interface and comprehensive result visualization for efficient command line tools. The webserver includes RNA-RNA interaction prediction (IntaRNA, CopraRNA, metaMIR), sRNA homology search (GLASSgo), sequence-structure alignments (LocARNA, MARNA, CARNA, ExpaRNA), CRISPR repeat classification (CRISPRmap), sequence design (antaRNA, INFO-RNA, SECISDesign), structure aberration evaluation of point mutations (RaSE), and RNA/protein-family models visualization (CMV), and other methods. Open education resources offer interactive visualizations of RNA structure and RNA-RNA interaction prediction as well as basic and advanced sequence alignment algorithms. The services are freely available at http://rna.informatik.uni-freiburg.de.
