Introduction Finland’s 2018 Report Card was prepared as part of the Global Matrix 3.0 (Figure 1 ). It was the third assessment of physical activity (PA) for Finnish children and adolescents (previous years 2014 and 2016). The purpose of this abstract is to summarize the results of Finland’s 2018
Katariina Kämppi, Annaleena Aira, Nina Halme, Pauliina Husu, Virpi Inkinen, Laura Joensuu, Sami Kokko, Kaarlo Laine, Kaisu Mononen, Sanna Palomäki, Timo Ståhl, Arja Sääkslahti and Tuija Tammelin
Introduction In Bulgaria, the period of transition (1989-1998) from Communism to Democracy, and the two decades that followed, witnessed broad social and economic changes. The transition to a market-based economy was accompanied by less regular Physical Activity and Organized Sport, viewed as
Monika Uys, Susan Bassett, Catherine E. Draper, Lisa Micklesfield, Andries Monyeki, Anniza de Villiers, Estelle V. Lambert and the HAKSA 2016 Writing Group
We present results of the 2016 Healthy Active Kids South Africa (HAKSA) Report Card on the current status of physical activity (PA) and nutrition in South African youth. The context in which we interpret the findings is that participation in PA is a fundamental human right, along with the right to “attainment of the highest standard of health.”
The HAKSA 2016 Writing Group was comprised of 33 authorities in physical education, exercise science, nutrition, public health, and journalism. The search strategy was based on peer-reviewed manuscripts, dissertations, and ‘gray’ literature. The core PA indicators are Overall Physical Activity Level; Organized Sport Participation; Active and Outdoor Play; Active Transportation; Sedentary Behaviors; Family and Peer Influences; School; Community and the Built Environment; and National Government Policy, Strategies, and Investment. In addition, we reported on Physical Fitness and Motor Proficiency separately. We also reported on nutrition indicators including Overweight and Under-nutrition along with certain key behaviors such as Fruit and Vegetable Intake, and policies and programs including School Nutrition Programs and Tuck Shops. Data were extracted and grades assigned after consensus was reached. Grades were assigned to each indicator ranging from an A, succeeding with a large majority of children and youth (81% to 100%); B, succeeding with well over half of children and youth (61% to 80%); C, succeeding with about half of children and youth (41% to 60%); D, succeeding with less than half but some children and youth (21% to 40%); and F, succeeding with very few children and youth (0% to 20%); INC is inconclusive.
Overall PA levels received a C grade, as we are succeeding with more than 50% of children meeting recommendations. Organized Sports Participation also received a C, and Government Policies remain promising, receiving a B. Screen time and sedentary behavior were a major concern. Under- and over-weight were highlighted and, as overweight is on the rise, received a D grade.
In particular, issues of food security, obesogenic environments, and access to activity-supportive environments should guide social mobilization downstream and policy upstream. There is an urgent need for practice-based evidence based on evaluation of existing, scaled up interventions.
Wendy Y. Huang, Stephen H.S. Wong, Cindy H.P. Sit, Martin C.S. Wong, Raymond K.W. Sum, Sam W.S. Wong and Jane J. Yu
Introduction Insufficient physical activity among children and youth is of great concern and has been overlooked in Hong Kong. The Active Healthy Kids Hong Kong was established in 2015 to consolidate evidence-based evaluation of physical activity related indicators for children and youth in Hong
Wendy Yajun Huang, Stephen Heung-Sang Wong, Martin Chi-Sang Wong, Cindy Hui-Ping Sit, Raymond Kim-Wai Sum and Gang He
Hong Kong’s 2016 Report Card on Physical Activity (PA) for Children and Youth is the first evidence-based synthesis of various indicators related to individual behaviors that contribute to overall PA levels, settings and sources of influence, and strategies and investments in Hong Kong.
Following a standardized protocol, currently best available data for Hong Kong youth were collated and evaluated by an expert consensus panel on 9 indicators (5 activity behaviors and 4 influences on these behaviors).
Less than half of the children and youth met the recommended PA level. As a result, a D grade was given for Overall PA levels. Organized Sport Participation and Active Transportation received grades of C- and B, respectively. Sedentary Behaviors and School scored a C grade. Community and the Built Environment scored a grade of B. Family Influence received as low a score as Overall PA (D). Active Play and Government were not graded due to incomplete data.
PA levels are low and sedentary behaviors are high for children and youth in Hong Kong. Promising policies exist in schools and features of community and the built environment are favorable. Increasing family support should be emphasized for future PA promotion.
Alison L. Innerd and Liane B. Azevedo
The aim of this study is to establish the energy expenditure (EE) of a range of child-relevant activities and to compare different methods of estimating activity MET.
27 children (17 boys) aged 9 to 11 years participated. Participants were randomly assigned to 1 of 2 routines of 6 activities ranging from sedentary to vigorous intensity. Indirect calorimetry was used to estimate resting and physical activity EE. Activity metabolic equivalent (MET) was determined using individual resting metabolic rate (RMR), the Harrell-MET and the Schofield equation.
Activity EE ranges from 123.7± 35.7 J/min/Kg (playing cards) to 823.1 ± 177.8 J/min/kg (basketball). Individual RMR, the Harrell-MET and the Schofield equation MET prediction were relatively similar at light and moderate but not at vigorous intensity. Schofield equation provided a better comparison with the Compendium of Energy Expenditure for Youth.
This information might be advantageous to support the development of a new Compendium of Energy Expenditure for Youth.
Louise C. Mâsse and Judith E. de Niet
Over the years, self-report measures of physical activity (PA) have been employed in applications for which their use was not supported by the validity evidence.
To address this concern this paper 1) provided an overview of the sources of validity evidence that can be assessed with self-report measures of PA, 2) discussed the validity evidence needed to support the use of self-report in certain applications, and 3) conducted a case review of the 7-day PA Recall (7-d PAR).
This paper discussed 5 sources of validity evidence, those based on: test content; response processes; behavioral stability; relations with other variables; and sensitivity to change. The evidence needed to use self-report measures of PA in epidemiological, surveillance, and intervention studies was presented. These concepts were applied to a case review of the 7-d PAR. The review highlighted the utility of the 7-d PAR to produce valid rankings. Initial support, albeit weaker, for using the 7-d PAR to detect relative change in PA behavior was found.
Overall, self-report measures can validly rank PA behavior but they cannot adequately quantify PA. There is a need to improve the accuracy of self-report measures of PA to provide unbiased estimates of PA.
Anja Groβek, Christiana van Loo, Gregory E. Peoples, Markus Hagenbuchner, Rachel Jones and Dylan P. Cliff
This study reports energy expenditure (EE) data for lifestyle and ambulatory activities in young children.
Eleven children aged 3 to 6 years (mean age = 4.8 ± 0.9; 55% boys) completed 12 semistructured activities including sedentary behaviors (SB), light (LPA), and moderate-to-vigorous physical activities (MVPA) over 2 laboratory visits while wearing a portable metabolic system to measure EE.
Mean EE values for SB (TV, reading, tablet and toy play) were between 0.9 to 1.1 kcal/min. Standing art had an energy cost that was 1.5 times that of SB (mean = 1.4 kcal/min), whereas bike riding (mean = 2.5 kcal/min) was similar to LPA (cleaning-up, treasure hunt and walking) (mean = 2.3 to 2.5 kcal/min), which had EE that were 2.5 times SB. EE for MVPA (running, active games and obstacle course) was 4.2 times SB (mean = 3.8 to 3.9 kcal/min).
EE values reported in this study can contribute to the limited available data on the energy cost of lifestyle and ambulatory activities in young children.
Taru Manyanga, Daga Makaza, Carol Mahachi, Tholumusa F. Mlalazi, Vincent Masocha, Paul Makoni, Eberhard Tapera, Bhekuzulu Khumalo, Sipho H. Rutsate and Mark S. Tremblay
The report card was a synthesis of the best available evidence on the performance of Zimbabwean children and youth on key physical activity (PA) indicators. The aim of this article was to summarize the results from the 2016 Zimbabwe Report Card.
The Report Card Working Group gathered and synthesized the best available evidence, met, discussed and assigned grades to 10 indicators based on the Active Healthy Kids Global Alliance global matrix grading system.
The indicators were graded as follows: overall PA (C+), organized sport participation (B), active play (D+), active transportation (A-), sedentary behaviors (B), school (D), family and peers (Incomplete), community and the built environment (F), government (D) and nongovernmental organizations (Incomplete).
Although the majority of children used active transport, played organized sports and engaged in acceptable levels of PA, most of them did not meet the recommended hours of unstructured/unorganized play per day. At present, there are limited data to accurately inform the Zimbabwe Report Card therefore studies employing robust research designs with representative samples are needed. Zimbabwe also needs to prioritize policies and investments that promote greater and safe participation in PA among children and youth.
Barbara Sternfeld and Lisa Goldman-Rosas
Numerous instruments to measure self-reported physical activity (PA) exist, but there is little guidance for determining the most appropriate choice.
To provide a systematic framework for researchers and practitioners to select a self-reported PA instrument.
The framework consists of 2 components: a series of questions and a database of instruments. The questions encourage users to think critically about their specific needs and to appreciate the strengths and limitations of the available options. Instruments for the database were identified through existing literature and expert opinion.
Ten questions, ranging from study aim and study design to target population and logistical consideration, guide the researcher or practitioner in defining the criteria for an appropriate PA instruments for a given situation. No one question on its own determines the optimal choice, but taken together, they narrow the potential field. The database currently includes 38 different self-reported PA instruments, characterized by 18 different parameters.
The series of questions presented here, in conjunction with a searchable database of self-report PA instruments, provides a needed step toward the development of guiding principles and good practices for researchers and practitioners to follow in making an informed selection of a self-reported PA instrument.