Predictors of Adherence to Supervised and Unsupervised Exercise in the Alberta Physical Activity and Breast Cancer Prevention Trial

2012 ◽  
Vol 9 (6) ◽  
pp. 857-866 ◽  
Author(s):  
Kerry S. Courneya ◽  
Kristina H. Karvinen ◽  
Margaret L. McNeely ◽  
Kristin L. Campbell ◽  
Sony Brar ◽  
...  

Background:Few studies have examined the predictors of adherence separately for supervised and unsupervised exercise or in postmenopausal women over an extended time period. Here, we report the predictors of exercise adherence in the Alberta Physical Activity and Breast Cancer Prevention (ALPHA) Trial.Methods:The ALPHA trial randomized 160 postmenopausal women in Calgary and Edmonton, Canada to an exercise intervention that consisted of an average of 200 min/wk of supervised (123 minutes) and unsupervised (77 minutes) exercise over a 1-year period. Baseline data were collected on demographic, health-related fitness, quality of life, and motivational variables from the theory of planned behavior.Results:Participants completed an average of 95% of their supervised exercise and 79% of their unsupervised exercise. In multivariate analyses, 8.1% (P = .001) of the variance was explained for supervised exercise by being from Edmonton (β = 0.22; P = .004) and older (β = 0.15; P = .050). For unsupervised exercise, 21.1% (P < .001) of the variance was explained by being from Calgary (β = –0.39; P < .001), having a family history of breast cancer (β = 0.21; P = .003), and having higher vitality (β = 0.19; P = .011).Conclusions:Predictors of adherence may differ for supervised and unsupervised exercise, moreover, predicting adherence to supervised exercise may be particularly difficult in well-controlled efficacy trials.

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0198641 ◽  
Author(s):  
Devon J. Boyne ◽  
Will D. King ◽  
Darren R. Brenner ◽  
John B. McIntyre ◽  
Kerry S. Courneya ◽  
...  

1995 ◽  
Vol 50 (2) ◽  
pp. 110-112
Author(s):  
Rajendra P. Kedar ◽  
Thomas H. Bourne ◽  
Trevor J. Powles ◽  
William P. Collins ◽  
Susan E. Ashley ◽  
...  

2011 ◽  
Vol 52 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Kerry S. Courneya ◽  
Ame-Lia Tamburrini ◽  
Christy G. Woolcott ◽  
Margaret L. McNeely ◽  
Kristina H. Karvinen ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Kathleen Mcclain ◽  
Christine Friedenreich ◽  
Darren Brenner ◽  
Kerry Courneya ◽  
Charles Matthews ◽  
...  

Abstract Objectives Recent metabolomics studies have identified metabolic correlates of body mass index (BMI), but the degree to which correlations are driven by fat mass as opposed to lean mass has not been established. Our objectives were to 1) replicate findings of BMI-metabolite correlations, and 2) to describe the contributions of FM and LM to the BMI-metabolite associations. Methods The Alberta Physical Activity and Breast Cancer Prevention Trial was a two-center randomized trial of healthy but inactive, postmenopausal women (N = 304). BMI (kg/m2) was calculated using measured weight and height, while whole body dual X-ray absorptiometry estimated fat mass and lean mass. Serum metabolite levels were measured by ultra-performance liquid chromatography and high-resolution/accurate mass spectrometer. We estimated partial Pearson correlations between 1053 metabolites and BMI, adjusting for age, smoking, and study site. Fat mass/m2 and lean mass/m2 correlations were estimated similarly, with mutual adjustment for one another to evaluate independent effects after accounting for their positive intercorrelation. Results Using a Bonferroni-corrected alpha-level <4.75 × 10–5, we observed 39 metabolites correlated with BMI (|r|:0.24–0.42; lowest p-value:7.53 × 10–14), including 25 metabolites that replicate previously-reported associations. Of metabolites correlated with BMI, only 14 were robustly correlated with fat mass/m2 (|r| > 0.20), and five had virtually no fat mass/m2 correlation (|r| < 0.10). Six metabolites were more strongly correlated with lean mass/m2 than with fat mass/m2. When we extended the analysis to all metabolites, we found another eight metabolites that were robustly correlated with fat mass/m2 (|r|:0.24–0.29) and three with lean mass/m2 (r:0.24–0.27) despite no statistically significant correlation with BMI. Conclusions BMI may be insufficiently specific, in some cases, for studies of the metabolic effects of adiposity. Many BMI-related metabolites are only weakly correlated with fat mass; some are more directly related to lean mass than fat mass. For those metabolites already being studied in relation to disease risk (e.g., branched chain amino acids), our study demonstrates which aspect of body composition may primarily underlie metabolite-disease associations. Funding Sources National Institutes of Health Intramural Research Program, Canadian Breast Cancer Research Alliance.


The Lancet ◽  
1994 ◽  
Vol 343 (8909) ◽  
pp. 1318-1321 ◽  
Author(s):  
R. Kedar ◽  
T.H. Bourne ◽  
W.P. Collins ◽  
S. Campbell ◽  
T.J. Powles ◽  
...  

2006 ◽  
Vol 949 (1) ◽  
pp. 113-122 ◽  
Author(s):  
ALIANA GUERRIERI-GONZAGA ◽  
ARIANNA GALLI ◽  
NICOLE ROTMENSZ ◽  
ANDREA DECENSI

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