Andrew S Jackson
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Explore the profile of Andrew S Jackson including associated specialties, affiliations and a list of published articles.
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28
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893
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Recent Articles
1.
Nauman J, Nes B, Lavie C, Jackson A, Sui X, Coombes J, et al.
Mayo Clin Proc
. 2016 Nov;
92(2):218-227.
PMID: 27866655
Objective: To assess the predictive value of estimated cardiorespiratory fitness (eCRF) and evaluate the additional contribution of traditional risk factors in cardiovascular disease (CVD) mortality prediction. Participants And Methods: The...
2.
Rembielak A, Jain P, Jackson A, Green M, Santorelli G, Whitfield G, et al.
Transl Oncol
. 2014 Apr;
7(1):55-64.
PMID: 24772208
Background: Preclinical data have indicated the anti-epidermal growth factor receptor (EGFR) agent cetuximab (Erbitux) as a radiosensitizer in pancreatic cancer, but this has not been specifically addressed in a clinical...
3.
Artero E, Jackson A, Sui X, Lee D, OConnor D, Lavie C, et al.
J Am Coll Cardiol
. 2014 Apr;
63(21):2289-96.
PMID: 24703924
Objectives: This study sought to determine the capacity of cardiorespiratory fitness (CRF) algorithms without exercise testing to predict the risk for nonfatal cardiovascular disease (CVD) events and disease-specific mortality. Background:...
4.
Dishman R, Jackson A, Bray M
Ann Behav Med
. 2013 Dec;
48(1):80-91.
PMID: 24311018
Objective: This study aimed to test experiential and behavioral processes of change as mediators of the prediction of exercise behavior by two self-regulation traits, self-efficacy and self-motivation, while controlling for...
5.
Miller F, OConnor D, Herring M, Sailors M, Jackson A, Dishman R, et al.
Med Sci Sports Exerc
. 2013 Jun;
46(1):69-75.
PMID: 23793231
Purpose: To effectively evaluate activity-based interventions for weight management and disease risk reduction, objective and accurate measures of exercise dose are needed. This study examined cumulative exercise exposure defined by...
6.
Jackson A, Sui X, OConnor D, Church T, Lee D, Artero E, et al.
Am J Prev Med
. 2012 Oct;
43(5):512-9.
PMID: 23079174
Background: Non-exercise algorithms are cost-effective methods to estimate cardiorespiratory fitness (CRF) in healthcare settings. The limitation of current non-exercise models is that they were developed with cross-sectional data. Purpose: To...
7.
Sui X, Jackson A, Church T, Lee D, OConnor D, Liu J, et al.
Ann Epidemiol
. 2012 Jul;
22(9):617-22.
PMID: 22763087
Purpose: We modeled the age-related trajectory of glucose and determined whether cardiorespiratory fitness altered the trajectory in a cohort of men from the Aerobics Center Longitudinal Study. Methods: A total...
8.
Lee D, Sui X, Church T, Lavie C, Jackson A, Blair S
J Am Coll Cardiol
. 2012 Feb;
59(7):665-72.
PMID: 22322083
Objectives: This study sought examine the independent and combined associations of changes in fitness and fatness with the subsequent incidence of the cardiovascular disease (CVD) risk factors of hypertension, metabolic...
9.
OConnor D, Mahar M, Laughlin M, Jackson A
Res Q Exerc Sport
. 2012 Jan;
82(4):610-6.
PMID: 22276402
The purpose of this study was to demonstrate the bias in the Bland-Altman (BA) limits of agreement method when it is used to validate regression models. Data from 1,158 men...
10.
Jackson A, Janssen I, Sui X, Church T, Blair S
Br J Nutr
. 2011 Aug;
107(7):1085-91.
PMID: 21810289
Obesity and sarcopenia are health problems associated with ageing. The present study modelled the longitudinal changes in body composition of healthy men, aged from 20 to 96 years, and evaluated...