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Life Sciences Commons

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Exercise Science

Selected Works

2013

Physical activity

Articles 1 - 2 of 2

Full-Text Articles in Life Sciences

The Impact Of Co-Active Coaching On Physically Inactive 12 To 14 Year Olds In Ontario, Paul Gorczynski, Don Morrow, Jennifer Irwin Jan 2013

The Impact Of Co-Active Coaching On Physically Inactive 12 To 14 Year Olds In Ontario, Paul Gorczynski, Don Morrow, Jennifer Irwin

Donald Morrow

This study assessed the impact of life coaching on physical activity participation, self-efficacy, social support, and perceived behavioural control among physically inactive youth between the ages of 12 and 14 years in London, Ontario. The multiple-baseline across participants single case-experimental design study consisted of five 12 to 14 year olds. Six coaching sessions were conducted over two months by a certified professional Co-active coach. Physical activity increased for one participant while the other participants’ physical activity remained unchanged. No significant changes occurred in self-efficacy, social support, and perceived behavioural control with specific regard to becoming more physically active. Results indicted …


Measuring Exercise Self-Efficacy In Pregnant Women: Psychometric Properties Of The Pregnancy-Exercise Self-Efficacy Scale (P-Eses), Helen W. Bland, Bridget Melton, Elaine S. Marshall, Jacquelyn N. Zera Dec 2012

Measuring Exercise Self-Efficacy In Pregnant Women: Psychometric Properties Of The Pregnancy-Exercise Self-Efficacy Scale (P-Eses), Helen W. Bland, Bridget Melton, Elaine S. Marshall, Jacquelyn N. Zera

Jacquelyn Nagle Zera

Background and Purpose: This study assessed the psychometric properties of a modified
self-efficacy scale—the Pregnancy-Exercise Self-Efficacy Scale (P-ESES).

Methods: Pregnant women completed the P-ESES and physical activity questionnaires (N 5 88).
Results: Internal consistency was confirmed by Cronbach’s alpha (a 5 0.838) and equal length
Spearman–Brown (a 5 8.22). Squared multiple correlation coefficients were
calculated showing 9 of 10 items with values greater than the desired .5. A nonrotated
exploratory principal components analysis confirmed the same 9 of 10 items loaded on
a single factor, accounting for 46.1% of the variance. Each item had an acceptable load
value …