Physical activity variety, energy expenditure, and body mass index

Development and evaluation of the perceived variety-support in physical education scale (PVSPES)

The provision of variety has been posited to influence motivation in physical education. Therefore, the aim of this 3-phase study was to design and evaluate a brief scale to assess ratings of variety-support in physical education. In Phase 1, 20 experts were invited to review the developed items of the Perceived Variety-Support in Physical Education (PVSPE) scale. In Phase 2, factorial validity of item responses was assessed in a sample of adolescents aged 12-14 years (n = 265). In Phase 3, test-retest reliability was determined over a one-week period (n = 100). A one-factor model resulted in "good" fit to the data (χ2(21) = 43.265, p < 0.001, CFI = 0.968, TLI = 0.952, RMSEA = 0.089; factor loading estimates showed that indicators were highly related to the factor (range: 0.60 to 0.93); and ICC was 0.98, 95% CI [0.97 to 0.98]. Our results provide initial evidence for the validity, measurement invariance, and test-retest reliability of scores derived from the VSPE scale for use with adolescents.

The Validated Features of Psychological Interventions for Weight Loss: An Integration

Many psychological inclinations, such as maladaptive beliefs, can diminish the capacity of individuals to manage their weight effectively and sustainably. Yet, interventions that purportedly address these psychological inclinations and improve weight management are not always beneficial. To be effective, these interventions should offer participants several choices, should be devoid of features that have not been validated in isolation, and should arrange the various activities in an efficient and effective sequence. Few if any programs fulfill these criteria. The aim of this paper was to construct an intervention that assimilates all the validated features of interventions that overcome the psychological impediments to weight loss. To achieve this goal, we blended a technique called intervention component analysis with thematic analysis. Specifically, we extracted refereed journal articles about weight loss from PsycInfo, distilled the practical recommendations from these articles, excluded recommendations that had not been validated in isolation of other features, integrated overlapping recommendations, and applied several principles to arrange these recommendations into the most effective sequence. This procedure generated an intervention that could comprise up to 43 features and activities, including self-affirmation to foster openness to change, anecdotes about dramatic improvements, ambitious rather than modest targets, an emphasis on strategies rather than targets, rewards for attempts, implementation intentions with partners, self-hypnosis, cognitive reframing, and distancing. If these features are unsuccessful, practices that demand more resources-such as group disclosure, virtual environments, motivational interviewing, and customized programs-were also recommended.

Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach

The increasing ubiquity of smartphone data, with greater spatial and temporal coverage than achieved by traditional study designs, have the potential to provide insight into habitual physical activity patterns. This study implements and evaluates the utility of both K-means clustering and agglomerative hierarchical clustering methods in identifying weekly and yearlong physical activity behaviour trends. Characterising the demographics and choice of activity type within the identified clusters of behaviour. Across all seven clusters of seasonal activity behaviour identified, daylight saving was shown to play a key role in influencing behaviour, with increased activity in summer months. Investigation into weekly behaviours identified six clusters with varied roles, of weekday versus weekend, on the likelihood of meeting physical activity guidelines. Preferred type of physical activity likewise varied between clusters, with gender and age strongly associated with cluster membership. Key relationships are identified between weekly clusters and seasonal activity behaviour clusters, demonstrating how short-term behaviours contribute to longer-term activity patterns. Utilising unsupervised machine learning, this study demonstrates how the volume and richness of secondary app data can allow us to move away from aggregate measures of physical activity to better understand temporal variations in habitual physical activity behaviour.

Effect of exposure to greater active videogame variety on time spent in moderate- to vigorous-intensity physical activity

BACKGROUND

This investigation examined whether exposure to greater active videogame variety increases moderate- to vigorous-intensity physical activity (MVPA).

METHODS

Twenty-three participants (age=22.7±4.2yrs; body mass index=23.5±3.0kg/m(2); self-reported MVPA=298.7±116.7min/wk; 62.2% female; 73.9% Caucasian) participated in VARIETY (4 different active videogames during 4, 15-min bouts) and NON-VARIETY (only 1 active videogame during 4, 15-min bouts) counterbalanced sessions. VARIETY provided a different active videogame in each bout. NON-VARIETY provided participants their most highly liked active videogame in each bout. The Sensewear Mini Armband objectively assessed MVPA.

RESULTS

For MVPA minutes, a session×bout (p<0.05) interaction occurred. In NON-VARIETY, bouts 2, 3, and 4 had significantly (p<0.05) fewer minutes than bout 1, with no decrease occurring in VARIETY. In bout 4, VARIETY had significantly (p<0.05) more minutes than NON-VARIETY. A main effect of session (p<0.05) occurred for MVPA minutes and energy expenditure, with VARIETY achieving greater amounts (31.8±14.3min vs. 27.6±16.9min; 186.1±96.8kcal vs. 171.2±102.8kcal).

CONCLUSIONS

Exposure to greater activity variety within a session increased MVPA. Future research should examine exposure to a variety of activities over a longer time frame with participants of differing lifestyles in free-living environments.

The use of periodization in exercise prescriptions for inactive adults: A systematic review

BACKGROUND

Periodization of exercise is a method typically used in sports training, but the impact of periodized exercise on health outcomes in untrained adults is unclear.

PURPOSE

This review aims to summarize existing research wherein aerobic or resistance exercise was prescribed to inactive adults using a recognized periodization method.

METHODS

A search of relevant databases, conducted between January and February of 2014, yielded 21 studies published between 2000 and 2013 that assessed the impact of periodized exercise on health outcomes in untrained participants.

RESULTS

Substantial heterogeneity existed between studies, even under the same periodization method. Compared to baseline values or non-training control groups, prescribing periodized resistance or aerobic exercise yielded significant improvements in health outcomes related to traditional and emerging risk factors for cardiovascular disease, low-back and neck/shoulder pain, disease severity, and quality of life, with mixed results for increasing bone mineral density.

CONCLUSIONS

Although it is premature to conclude that periodized exercise is superior to non-periodized exercise for improving health outcomes, periodization appears to be a feasible means of prescribing exercise to inactive adults within an intervention setting. Further research is necessary to understand the effectiveness of periodizing aerobic exercise, the psychological effects of periodization, and the feasibility of implementing flexible non-linear methods.

Correlations of Physical Activity, Body Mass Index, Shift Duty, and Selected Eating Habits among Nurses in Riyadh, Saudi Arabia

Nurses are the largest group of direct health providers and can serve as role models for their patients. In this cross sectional study we assessed the relationship among physical activity and barriers, shift duty, elevated BMI, and selected eating habits among 362 non-Saudi female nurses in Riyadh, Saudi Arabia. Results showed that 46.7% were either overweight or obese. Marital status, shift duty, education level, and BMI were significant predictors of physical activity. Weather was the most frequently reported barrier to physical activity (88.3%), followed by a lack of transportation (82.6%), and a lack of time (81.3%). Nurses who worked shift duty had significantly (p = 0.004) higher BMIs compared with day shift nurses. Nurses who rarely ate breakfast (p = 0.004) and meals (p = 0.001) and often eat fast food (p = 0.001) were more likely to be overweight or obese. Nurses should be encouraged for a better healthy lifestyles.