Measuring enjoyment of physical activity in adolescent girls

Motl, Robert W.; Dishman, Rod K.; Saunders, Ruth P.; Dowda, Marsha; Felton, Gwen M.; Pate, Russell R.

doi:10.1016/s0749-3797(01)00326-9

Cited by 421 publications

(304 citation statements)

References 26 publications

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“…Perceived enjoyment of physical activity was assessed using the 14-item Physical Activity Enjoyment Scale [52], adapted for use in adolescents in 2001 [53]. Perceived enjoyment of sedentary behaviour was assessed using a scale adapted from Salmon et al [54].…”

Section: Methodsmentioning

confidence: 99%

Screen-Time Weight-loss Intervention Targeting Children at Home (SWITCH): a randomized controlled trial

Maddison

Marsh

Foley

et al. 2014

Int J Behav Nutr Phys Act

132

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BackgroundScreen-based activities, such as watching television (TV), playing video games, and using computers, are common sedentary behaviors among young people and have been linked with increased energy intake and overweight. Previous home-based sedentary behaviour interventions have been limited by focusing primarily on the child, small sample sizes, and short follow-up periods. The SWITCH (Screen-Time Weight-loss Intervention Targeting Children at Home) study aimed to determine the effect of a home-based, family-delivered intervention to reduce screen-based sedentary behaviour on body composition, sedentary behaviour, physical activity, and diet over 24 weeks in overweight and obese children.MethodsA two-arm, parallel, randomized controlled trial was conducted. Children and their primary caregiver living in Auckland, New Zealand were recruited via schools, community centres, and word of mouth. The intervention, delivered over 20 weeks, consisted of a face-to-face meeting with the parent/caregiver and the child to deliver intervention content, which focused on training and educating them to use a wide range of strategies designed to reduce their child’s screen time. Families were given Time Machine TV monitoring devices to assist with allocating screen time, activity packages to promote alternative activities, online support via a website, and monthly newsletters. Control participants were given the intervention material on completion of follow-up. The primary outcome was change in children’s BMI z-score from baseline to 24 weeks.ResultsChildren (n = 251) aged 9–12 years and their primary caregiver were randomized to receive the SWITCH intervention (n = 127) or no intervention (controls; n = 124). There was no significant difference in change of zBMI between the intervention and control groups, although a favorable trend was observed (−0.016; 95% CI: −0.084, 0.051; p = 0.64). There were also no significant differences on secondary outcomes, except for a trend towards increased children’s moderate intensity physical activity in the intervention group (24.3 min/d; 95% CI: −0.94, 49.51; p = 0.06).ConclusionsA home-based, family-delivered intervention to reduce all leisure-time screen use had no significant effect on screen-time or on BMI at 24 weeks in overweight and obese children aged 9–12 years.Trial registrationAustralian New Zealand Clinical Trials RegistryWebsite: http://www.anzctr.org.auTrial registration number: ACTRN12611000164998

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Section: Methodsmentioning

confidence: 99%

Screen-Time Weight-loss Intervention Targeting Children at Home (SWITCH): a randomized controlled trial

Maddison

Marsh

Foley

et al. 2014

Int J Behav Nutr Phys Act

132

View full text Add to dashboard Cite

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“…Interestingly, significant associations existed between psychological factors and social support suggesting there may be a reciprocal relationship between those variables. Evidence does suggest that increased support for PA by family in younger children, is associated with more positive feelings toward PA. 33 In addition, our regression models revealed that younger participants’ MVPA was associated with family support for PA, although neither friends nor parent support for PA was associated with MVPA in older adolescents. This is partially supported by Sirard et al, 20 who suggested that younger children may be more influenced by parents than older adolescents.…”

Section: Discussionmentioning

confidence: 66%

“…PA enjoyment was measured using a modification of a previously validated scale 33 that asked 3 questions that started “When I am active …” followed by the items “I feel bored,” “I dislike it,” and “It frustrates me.” The 4-point scale contained responses that ranged from 1 (“Agree a lot”) to 4 (“Disagree a lot”), with a higher score indicative of more enjoyment related to PA. Internal consistency for this scale was α = 0.82.…”

Section: Methodsmentioning

confidence: 99%

Social and Psychological Factors Associated With Adolescent Physical Activity

Garcia

Sirard²,

Larsen

et al. 2016

Journal of Physical Activity and Health

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Objective The purpose of this study was to examine, using structural equation modeling, the associations between nominated friend physical activity (PA), friend social support with individual psychological factors, and adolescent PA. Methods Data were obtained from EAT 2010 (Eating and Activity Among Teens), a large cross-sectional study conducted in 20 middle and high schools. The sample consisted of 1951 adolescents (mean age: 14.25 ± 1.96, 54% female, 68% ethnic minorities). PA, parent and friend socia l support (perceived social support for PA from parents and friends), and psychological measures (PA enjoyment, PA self-efficacy, and PA barriers) were assessed by self-report questionnaires. The SEM analysis consisted of 1 observed variable: friend PA, and 2 latent constructs: psychological factors, perceived social support. Results The model was a good fit, indicating that there were significant direct effects of both friend PA (P < .01) and psychological factors (P < .0001) on adolescent PA. In addition, psychological factors mediated the association between friend PA and adolescent PA. Conclusion The results of this model suggest that psychological factors and friend PA are associated with adolescent PA, and that psychological factors may play an important role. Future studies should further examine the association of both friend PA and psychological variables with adolescent PA.

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“…All changes to medications during our study phases were recorded. The 2005 adult, long version International Physical Activity Questionnaire (29) was administered to document habitual physical activity along with questionnaires to document physical activity enjoyment [Physical Activity Enjoyment Scale (PACES), (30)]. Although it is conceivable that only those individuals who had an affinity to exercise enrolled in the study, the purpose of the PACES was to monitor the magnitude of change in physical activity enjoyment during the study.…”

Section: Methodsmentioning

confidence: 99%

High-Intensity Interval Training Is Equivalent to Moderate-Intensity Continuous Training for Short- and Medium-Term Outcomes of Glucose Control, Cardiometabolic Risk, and Microvascular Complication Markers in Men With Type 2 Diabetes

et al. 2018

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We sought to determine the efficacy of 12 weeks high-intensity interval training (HIIT), compared to moderate-intensity continuous training (MICT) on glucose control, cardiometabolic risk and microvascular complication markers in men living with type 2 diabetes (T2D). Both modalities were combined with resistance training (RT). Additionally, the study aimed to determine the medium-term durability of effects. After a 12-week, thrice weekly, training intervention incorporating either MICT+RT (n = 11) or HIIT+RT (n = 12), the study concluded with a 6-month follow-up analysis. The middle-aged study participants were obese, had moderate duration T2D and were taking multiple medications including insulin, statins and beta-blockers. Participants, randomized via the method of minimization, performed MICT (progressing to 26-min at 55% maximum estimated workload [eWLmax]) or HIIT (progressing to two variations in which twelve 1-min bouts at 95% eWLmax interspersed with 1-min recovery bouts, alternated with eight 30-s bouts at 120% eWLmax interspersed with 2:15 min recovery bouts) under supervision at an exercise physiology facility. To account for fixed and random effects within the study sample, mixed-effect models were used to determine the significance of change following the intervention and follow-up phases and to evaluate group*time interactions. Beyond improvements in aerobic capacity (P < 0.001) for both groups, both training modalities elicited similar group*time interactions (P > 0.05) while experiencing benefits for glycated hemoglobin (HbA1c; P = 0.01), subcutaneous adiposity (P < 0.001), and heart rate variability (P = 0.02) during the 12-week intervention. Adiposity (P < 0.001) and aerobic capacity (P < 0.001) were significantly maintained in both groups at the 6-month follow-up. In addition, during the intervention, participants in both MICT+RT and HIIT+RT experienced favorable reductions in their medication usage. The study reported the inter-individual variability of change within both groups, the exaggerated acute physiological responses (using exercise termination indicators) that occurred during the interventions as well as the incidence of precautionary respite afforded in such a study sample. To reduce hyperglycaemia, and prevent further deterioration of cardiometabolic risk and microvascular complication markers (in both the short- and medium-term), future strategies that integrate the adoption and maintenance of physical activity as a cornerstone in the treatment of T2M for men should (cognisant of appropriate supervision) include either structured MICT+RT, or HIIT+RT.Clinical Trials Registration Number: ACTRN12617000582358 http://www.anzctr.org.au/default.aspx

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Measuring enjoyment of physical activity in adolescent girls

Cited by 421 publications

References 26 publications

Screen-Time Weight-loss Intervention Targeting Children at Home (SWITCH): a randomized controlled trial

Screen-Time Weight-loss Intervention Targeting Children at Home (SWITCH): a randomized controlled trial

Social and Psychological Factors Associated With Adolescent Physical Activity

High-Intensity Interval Training Is Equivalent to Moderate-Intensity Continuous Training for Short- and Medium-Term Outcomes of Glucose Control, Cardiometabolic Risk, and Microvascular Complication Markers in Men With Type 2 Diabetes

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