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Anca Gaston, Anita Grace Cramp and Harry Prapavessis

Little is known about how women who exercise during pregnancy are perceived. The purpose of this study was to investigate whether the positive exercise stereotype (i.e., the general tendency for exercisers to be evaluated more positively than nonexercisers) extends to pregnancy. Adult women (N = 202, mean age = 38.55 years, SD = 13.46) were randomly assigned to read a description of one of the following pregnant female targets: regular exerciser, active living, excessive exerciser, nonexerciser, or control. Participants then rated the target on 12 personality and 8 physical dimensions. MANOVAs revealed a significant main effect for both physical and personality attributes (p < .05). The regular exerciser and active living target received the most positive ratings on both physical and personality dimensions. Whereas the excessive exerciser received high ratings on most physical characteristics, this target was also perceived as meaner and sadder, and having fewer friends than all other targets.

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Nerissa Campbell, Anca Gaston, Casey Gray, Elaine Rush, Ralph Maddison and Harry Prapavessis


Accurate assessment of physical activity energy expenditure (PAEE) among adolescents is important for surveillance, evaluating interventions, and understanding the relation between energy balance and normal physiological and behavioral growth and development. The purpose of this study was to examine the validity of the Short Questionnaire to Assess Health-Enhancing Physical Activity (SQUASH)13 for measuring PAEE among adolescents.


The participants were seventeen adolescents (9 females; Mean age = 17.53; SD = 0.62). Energy expenditure was measured during a 9-day period with doubly labeled water (DLW). The SQUASH was self-administered on the morning of the 10th day and assessed commuting activities, leisure time activities, household activities, and activities at work and school over the previous 9 days.


A Bland-Altman plot indicated that the SQUASH underestimated PAEE compared with DLW by a mean difference of 126 kcal·d−1 (95% limits of agreement: –1,207 to 1,459 kcal·d−1), representative of a 10% underestimation. The Spearman rank order correlation coefficient showed there was a significant association between the SQUASH and DLW (r = .50, P = .04), for estimating PAEE.


When using a sample of highly active adolescents, the SQUASH is a valid self-report tool for measuring PAEE at the group and individual rank order level.