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Background Cross‐cultural research can provide insight into whether levels and correlates of movement behaviours among early years children vary across different cultural contexts. This study (1) compared children's physical activity (PA) and screen time (ST) and parental and environmental correlates of PA and ST between samples of Canadian and South Korean (Korean thereafter) early years children (2–5 years) and (2) investigated parental and environmental correlates of PA and ST and whether country moderates the relationships. Methods Cross‐sectional data from 121 Canadian children (3.4 years; 49.6% girls) and 101 Korean children (3.4 years; 54.9% girls) who participated in the Parents' Role in Establishing healthy Physical activity and Sedentary behaviour habits (PREPS) study were used. Demographic information, children's PA, ST, PA‐ or ST‐specific parental cognitions and behaviours, and home and neighbourhood environments were measured using a proxy‐reported questionnaire. Two‐tailed independent samples T test or Mann Whitney U test, chi‐square tests, linear regression and moderation analyses were performed. Results Canadian children spent more time in non‐organized PA compared to Korean children (111 vs. 63 min/day), whereas time spent in organized PA was higher in Korean children than Canadian children (25 vs. 9 min/day). Canadian children had more ST than Korean children (159 vs. 110 min/day). Similarly, Canadian parents reported higher screen (142 vs. 116 min/day) and sitting time (317 vs. 286 min/day) than Korean parents. Though children's behaviours, as well as parental cognitions and behaviours, varied between the two samples, similar correlates of children's PA and ST were observed. The relationship between presence of electronics in children's bedrooms and children's ST was moderated by country, with Canadian children showing a stronger relationship than Korean children. Conclusions Supporting parents to adopt cognitions and behaviours that are conducive to healthy PA and ST patterns of their own and their early years children may be important for both Canada and Korea.

Purpose Cancer-related fatigue (CRF) is the most common and distressing symptom in breast cancer survivors (BCS), with severe impact on quality of life. CRF can be reduced through exercise, but conversely, is also a barrier to exercising. The aim of this article was to apply the intervention mapping protocol (IMP) to develop an exercise adherence intervention for BCS with CRF. Method The program was developed using the IMP, which consists of six steps. Based on the data from focus group interviews and literature review, we produced a logic model of change.Results Two performance objectives (survivors adopt and maintain exercise and survivors cope with fatigue) and 17 change objectives were generated. Also, we designed theory-based methods of change, and strategies for practical application. A structured program plan that includes intervention content and methods, ranges, and program data was proposed. Finally, an implementation and evaluation plan was developed. ConclusionThe IMP provided a useful framework to systematically plan an exercise adherence program. This study resulted in a theory and practice-based exercise adherence program, based on behavioral change theories, and practice-based knowledge that fits the needs of BCS with CRF.

The purpose of our study was to validate a newly developed breath acetone (BrAce) analyzer, and to explore if BrAce could predict aerobic exercise-related substrate use. Six healthy men ran on a treadmill at 70% of maximal oxygen consumption (VO2max) for 1 h after two days of a low-carbohydrate diet. BrAce and blood ketone (acetoacetate (ACAC), beta-hydroxybutyrate (BOHB)) levels were measured at baseline and at different time points of post-exercise. BrAce values were validated against blood ketones and respiratory exchange ratio (RER). Our results showed that BrAce was moderately correlated with BOHB (r = 0.68, p < 0.01), ACAC (r = 0.37, p < 0.01) and blood ketone (r = 0.60, p < 0.01), suggesting that BrAce reflect blood ketone levels, which increase when fat is oxidized. Furthermore, BrAce also negatively correlated with RER (r = 0.67, p < 0.01). In our multiple regression analyses, we found that when BMI and VO2max were added to the prediction model in addition to BrAce, R2 values increased up to 0.972 at rest and 0.917 at 1 h after exercise. In conclusion, BrAce level measurements of our BrAce analyzer reflect blood ketone levels and the device could potentially predict fat oxidation.

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