Search Results

You are looking at 1 - 10 of 4,608 items for :

  • "predictors" x
  • All content x
Clear All
Restricted access

Dan J. Graham, Katherine W. Bauer, Sarah Friend, Daheia J. Barr-Anderson, and Dianne Nuemark-Sztainer


Physical activity (PA) declines sharply and rapidly during adolescence, especially among girls, posing a risk for inactivity and obesity in adulthood. This study identified personal, behavioral, and socioenvironmental correlates of concurrent and 6-month longitudinal PA among adolescent girls.


Data were gathered from 356 adolescent girls (mean age 15.8 ± 1.2 years; > 75% racial/ethnic minorities) in the Minneapolis/St. Paul area in 2007–2009. Linear regression analyses controlling for age, race/ethnicity, and school were conducted predicting baseline and follow-up levels of total PA and moderate-to-vigorous PA (MVPA) assessed via 3-Day Physical Activity Recall. Models were fit for each correlate individually and for all correlates together, mutually adjusted.


For concurrent PA, significant positive predictors when adjusting for the influence of all other variables included self-efficacy, support from friends and teachers, and friends’ PA. Total screen time and distance from school to PA resources related inversely to concurrent PA. In mutually-adjusted models, 6-month PA was positively related to self-worth, family support, and parent PA and inversely related to total screen time.


PA interventions with adolescent girls might be enhanced by involving adolescents’ social networks and also by helping adolescents feel better about their self-worth and athletic abilities.

Restricted access

Kathleen A. Martin and Adrienne R. Sinden

This study examined exercise-adherence rates and their predictors across 21 randomized controlled trials (RCTs) involving older adults (age ≥ 55 years). On average, participants completed 78% of their prescribed exercise bouts. Adherence tended to be greater in strength- and flexibility-exercise training programs (M = 87%) than in aerobic-exercise training programs (M = 75%). The best adherers were individuals who were fitter at baseline, had a history of a physically active lifestyle, were nonsmokers, and had higher exercise self-efficacy. Different variables predicted adherence (a) at different time points in a RCT. (b) to different types of exercise, and (c) to different aspects of the exercise prescription (i.e., frequency, intensity, and duration). The findings suggest that older adults might be more adherent to exercise prescriptions than younger adults are. There is also a need for more theory-based research to examine predictors of adherence to various aspects of the exercise prescription.

Restricted access

Jeffrey Martin, Mario Vassallo, Jacklyn Carrico, and Ellen Armstrong

examining predictors of athlete’s emotions that span objective and normative indices of success (i.e., medals won) versus objective expectations (i.e., medal won relative to medal expected) and self-referenced expectations (i.e., race times relative to previous personal best times) appears nonexistent. Such

Restricted access

Adam Karg, Ali Tamaddoni, Heath McDonald, and Michael Ewing

data available and approaches used in practice ( Ostrom, Parasuraman, Bowen, Patrício, & Voss, 2015 ). Although attitudinal items represent aspects of being loyal, their complexity and limited predictive ability can encourage practitioners to “keep it simple” ( Pritchard & Stinson, 2014 ) and target

Restricted access

Ann M. Quinn and Barry J. Fallon


To explore predictors of recovery time.


Repeated measures on 4 occasions throughout recovery included injury appraisal, demographics, emotional responses, and psychological variables.


Elite injured athletes (N = 136).

Main Outcome Measure:

Recovery time.


At all phases, being a team athlete was a significant predictor of faster recovery. At partial recovery (approximately one-third of the recovery time), significant predictors were active coping, confidence of reaching full recovery in the estimated time, not completing rehabilitation, and having less social support. By semirecovery (approximately two-thirds of the recovery time), vigor and using denial significantly predicted quicker recovery. At recovery, having previously suffered a serious nonsporting injury or illness, vigor, more confidence, and intensity of effort significantly predicted faster recovery.


This study has expanded on and refined the work in this area and will help increase understanding of the role that psychological variables play in decreasing recovery time, which has important implications for those implementing rehabilitation programs.

Restricted access

Ross Armstrong, Christopher Michael Brogden, and Matt Greig

Excursion Balance Test 18 and Functional Movement Screen 19 as a predictor of mechanical loading in dancers. The Star Excursion Balance Test 20 challenges dynamic postural control and requires strength, proprioception, and flexibility. 21 Its use with dancers is thought to have a degree of face

Restricted access

Kurt Jensen, Morten Frydkjær, Niels M.B. Jensen, Lucas M. Bannerholt, and Søren Gam

Although many physiological and anthropometric parameters alone or in combination can be used to predict rowing performance in Olympic rowing (2000 m), the most important physiological determinant of rowing performance is maximal oxygen uptake ( V ˙ O 2 max , in L·min −1 ). 1 – 6 Regular

Restricted access

Nicole J. Chimera and Mallorie Larson

 al 12 reported that ankle dorsiflexion during the YBT-LQ performance predicted 50% of the variance in the normalized anterior reach. In addition, active ankle dorsiflexion at full knee extension and 90° knee flexion was significantly correlated with YBT-LQ performance. 13 The findings on ankle

Restricted access

Peiyuan Wang, Frank J. Infurna, and Sydney Y. Schaefer

approximated by the amount of improvement following a period of delayed retention ( Kantak & Winstein, 2012 ). Recent findings have suggested that neither chronological age nor global cognitive status is predictive of retained improvements ( Schaefer, Dibble, & Duff, 2015 ; Schaefer & Duff, 2015 ), while

Restricted access

Drue Stapleton

maximum of 21. A higher composite score is associated with better functional movement. The use of the FMS to identify movement quality and potential risk for injury has grown in recent years, however, debate remains as to the usefulness of composite FMS score to predict injury. The composite score has