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13篇 您的检索式:作者名="XUEMEI SUI"
    题名 作者 年代 出处 被引量
1Role of life style and aging on the longitudinal change in cardiorespiratory fitness显示文摘ACLS ANDREW S JACKSON XUEMEI SUI JAMES R HE BERT 2009Arch Int Ern Med2009,169,19:1
2Mortality trends in the general population:the importanceof cardiorespiratory fitness显示文摘Duek-chul Lee Enrique G Artero Xuemei Sui 2010Journal of Psychophar-macology2010,24,11:1
3Longitudinal Algorithms to Estimate Cardiorespiratory Fitness显示文摘Enrique G. Artero Andrew S. Jackson Xuemei Sui Duck-chul Lee Daniel P. O’Connor Carl J. Lavie Timothy S. Church Steven N. Blair 2014Journal of the American College of Cardiology2014,,21:1
4Long-Term Effects of Changes in Cardiorespiratory Fitness and Body Mass Index on All-Cause and Cardiovascular Disease Mortality in Men: The Aerobics Center Longitudinal Study显示文摘Duck-chul Lee Xuemei Sui Enrique G. Artero I-Min Lee Timothy S. Church Paul A. McAuley Fatima C. Stanford Harold W. Kohl Steven N. Blair 2011Circulation2011,,23:1
5Uric acid and the development of metabolic syndrome in women and men 显示文摘Sui Xuemei Church TS Meriwether RA 2008Metabolism2008,57,6:1
6Restructured single parabolic band model for quick analysis in thermoelectricity显示文摘The single parabolic band(SPB)model has been widely used to preliminarily elucidate inherent transport behaviors of thermoelectric(TE)materials,such as their band structure and electronic thermal conductivity,etc.However,in the SPB calculation,it is necessary to determine some intermediate variables,such as Fermi level or the complex Fermi-Dirac integrals.In this work,we establish a direct carrier-concentration-dependent restructured SPB model,which eliminates Fermi-Dirac integrals and Fermi level calculation and emerges stronger visibility and usability in experiments.We have verified the reliability of such restructured model with 490 groups of experimental data from state-of-the-art TE materials and the relative error is less than 2%.Moreover,carrier effective mass,intrinsic carrier mobility and optimal carrier concentration of these materials are systematically investigated.We believe that our work can provide more convenience and accuracy for thermoelectric data analysis as well as instructive understanding on future optimization design.Jianbo Zhu Xuemei Zhang Muchun Guo Jingyu Li Jinsuo Hu Songting Cai Wei Cai Yongsheng Zhang Jiehe Sui 2021npj Computational Materials2021,,1:1
7Muscular Strength and Incident Hypertension in Normotensive and Prehypertensive Men显示文摘ANDRéA L. MASLOW XUEMEI SUI NATALIE COLABIANCHI JIM HUSSEY STEVEN N. BLAIR 2010Medicine & Science in Sports & Exercise2010,,2:1
8以心肺适应能力及肥胖为老年人死亡率的预测指标显示文摘背景:尽管机体的运动量及有氧代谢能力会随着年龄的增长而降低,而肥胖的患病率则会随着年龄的增长而增加,但是目前尚未在老年人群中深入研究心肺适应能力、肥胖、死亡率三者之间的关系。 目的:明确老年人心肺适应能力、肥胖、死亡率三者之间的关系。Xuemei Sui, MD Micheal J. La Monte, PhD James N. l,aditka, PhD 顾佳(译) 2008美国医学会杂志(中文版)2008,27,2:1
9Race and the Natural History of Chronic Heart Failure: A Propensity-Matched Study显示文摘Giovanni Gambassi Syed Abbas Agha Xuemei Sui Clyde W. Yancy Javed Butler Grigorios Giamouzis Thomas E. Love Ali Ahmed 2008Journal of Cardiac Failure2008,,:1
10Usefulness of Serum Bilirubin and Cardiorespiratory Fitness as Predictors of Mortality in Men显示文摘Rahma Ajja Duck-chul Lee Xuemei Sui Timothy S. Church N. Blair Steven 2011The American Journal of Cardiology2011,,:1
11Muscle strength and its association with cardiometabolic variables in adolescents:does the expression of muscle strength values matter?显示文摘Background We investigate the association between different muscle strength(MS)indices with cardiometabolic variables in adolescents.Methods Cross-sectional study comprising 351 adolescents(male 44.4%,age 16.6±1.0 years)from Brazil.MS was assessed by handgrip strength and analyzed in live difrerent ways:absolute MS and MS normalized for body weight,body mass index(BMI),height,and fat mass,respectively.Cardiometabolic variables investigated as outcomes were systolic and diastolic blood pressure(DBP),waist circumference(WC),high-sensitive C-reactive protein(hs-CRP),lipid and glucose metabolism markers.Multiple linear regression models adjusted for confounding factors were used.Results Absolute MS and/or MS normalized for height was directly associated with WC[up to 32.8 cm.standard error(SE)=4.7]and DBP(up to 8.8 mmHg,SE=0.8),and inversely associated with high-density lipoprotein cholesterol(up to-8.0 mg/dL.SE=14.1).MS normalized for body weight.BMI or fat inass was inversely associated with WC(up to-17.5 cm,SE=2.2).According tesex,MS normalized for fat mass was inversely associated with triglycerides(male:0.02 times lower,SE=0.01;female:0.05 times lower,SE=0.01)and homeostatic model assessment for insulin resistance(male:0.02 times lower,SE=0.01;female:0.06 times lower.SE=0.01).and inversely associated with hs-CRP only among male(0.03 times lower,SE=0.01).Conclusion When normalized for body weight,BMI or fat mass,MS was superior to absolute MS or MS normalized for height in representing adequately cardiometabolic variables among adolescents.Tiago Rodrigues de Lima Xuemei Sui Luiz Rodrigo Augustemak de Lima Diego Augusto Santos Silva 2021World Journal of Pediatrics2021,17,6:0
12Are flexibility and muscle-strengthening activities associated with functional limitation?显示文摘This retrospective cohort study examined the relationship between self-reported participation in flexibility and muscular strengthening activities and the development of functional limitation(i.e.,once an individual has difficulty with or becomes unable to perform activities of daily living).Data were obtained from 1318 adults(mean age 49.59.7 years;98.7%Caucasian;14.9%female)enrolled in the Aerobics Center Longitudinal Study from 1979 to 2004 and free of functional limitation at baseline.Mail-back health surveys were used to prospectively determine incident functional limitation.Participation in muscle-strengthening and flexibility activities was assessed via self-report.Adjusted logistic regression analyses were used to determine the odds ratios(OR)and corresponding 95%confidence intervals for developing functional limitation during follow-up based on participation in general and specific categories of flexibility(‘Stretching’,‘Calisthenics’,or‘Exercise Class’)and musclestrengthening activities(‘Calisthenics’,‘Free Weights’,‘Weight Training Machines’,or‘Other’).Overall,42.6%of the sample reported incident functional limitation.After adjusting for potential confounders(e.g.,age,sex,cardiometabolic risk factors),those who reported performing muscle-strengthening activities in general(n=685)were at lower risk of developing functional limitation[OR=0.79(0.63–1.00)].In addition,the specific flexibility activities of stretching(n=491)and calisthenics(n=122)were associated with 24%and 38%decreased odds of incident functional limitation,respectively.General muscle-strengthening,stretching,and calisthenics activities are prospectively associated with decreased risk of incident functional limitation in generally healthy,middleaged and older adults.Thus,both public health and rehabilitation programs should highlight the importance of flexibility and muscle-strengthening activities during adulthood to help preserve functional capacity.Craig E.Pfeifer Leanna M.Ross Samantha R.Weber Xuemei Sui Steven N.Blair 2022Sports Medicine and Health Science2022,4,2:0
13An Overview of Non-exercise Estimated Cardiorespiratory Fitness:Estimation Equations,Cross-Validation and Application显示文摘Purpose To summarize current non-exercise prediction models to estimate cardiorespiratory fitness(CRF),cross-validate these models,and apply them to predict health outcomes.Methods PubMed search was up to August 2018 for eligible publications.The current review was comprised of three steps.The first step was to search the literature on non-exercise prediction models.The key words combined non-exercise,CRF and one among prediction,prediction model,equation,prediction equation and measurement.The second step was to search the literature about cross-validation of non-exercise equations.The key words included non-exercise,CRF and one among validation,cross-validation and validity.The last step was to search for application of CRF assessed from non-exercise equations.The key words were non-exercise,CRF,mortality,all-cause mortality,cardiovascular disease(CVD)mortality and cancer mortality.Results Sixty non-exercise equations were identified.Age,gender,percent body fat,body mass index,weight,height and physical activity status were commonly used in the equations.Several researchers cross-validated non-exercise equations and proved their validity.In addition,non-exercise estimated CRF was significantly associated with all-cause mortality and fatal and nonfatal CVD.Conclusions Measurement of CRF from non-exercise models is practical and viable when exercise testing is not feasible.Despite the limitations of equations,application of CRF from non-exercise methods showed accuracy and predictive ability.Ying Wang Shujie Chen Carl J.Lavie Jiajia Zhang Xuemei Sui 2019Journal of Science in Sport and Exercise2019,1,1:0
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