Background: This study aimed to examine the factor structure of responses to the Portuguese version of questions related to screen time–based sedentary behavior among adolescents. Methods: This cross-sectional study with a sample of 1083 adolescents aged 14–19 years was conducted in Brazil. The sample was randomly divided into 2 groups for an exploratory factor analysis and for a confirmatory factor analysis. Screen time was investigated by a Portuguese version of questions about time sitting in front of television, computer, and video games on weekdays and weekends. Results: Scree plots showed 2 factors with eigenvalues above 1. One factor was formed by items about television and computer use, and the other factor was formed by items about video game use. The exploratory factor analysis with 2 factors resulted in factor loadings above .60. A second model with 1 factor was estimated and resulted in factor loadings above .55. A confirmatory factor analysis was estimated based on the 2-factor exploratory factor analysis and goodness-of-fit statistics were adequate. Confirmatory factor analysis with 1 factor had goodness-of-fit statistics adequate. Conclusions: The Portuguese language version of self-report screen time had 2 possible factor solutions, and items demonstrated good factor structure with reasonable reliability making it suitable for use in the future studies.
Diego Augusto Santos Silva, Katie E. Gunnell and Mark Stephen Tremblay
Roberto Jerônimo dos Santos Silva, Diego Augusto Santos Silva and Antônio C. Oliveira
Several studies have shown that physical activity levels have declined in many countries, even with the regular practice of physical education in schools. The purpose of this study was to identify the prevalence of low physical activity levels and associated factors in adolescents enrolled in public high schools in Northeastern Brazil.
The sample was composed of 2259 adolescents (62.3% female) aged 16.26 ± 1.1 years. A questionnaire was applied to collect data on physical activity levels, sociodemographic information, tobacco use and alcohol consumption, nutritional status and sedentary behavior. Descriptive statistics and Poisson regression hierarchized model with Prevalence Rate (PR) and P ≤ .05 were used.
Higher prevalence of low physical activity level (89.1%) was observed. It was observed that 19.6% of individuals did not attend physical education classes regularly. Association was identified between low physical activity level and older girls (P = .02) and not attending physical education classes (P < .01). In males, the group most likely to have that low physical activity level was those whose parents studied until three years (P = .04).
Low physical activity level was present in most adolescents, more evident in girls. Lifestyle changes are needed, with substitution of sedentary activities for physical and sport activities in schools.
Diego Augusto Santos Silva, Mark Tremblay, Andreia Pelegrini, Roberto Jeronimo dos Santos Silva, Antonio Cesar Cabral de Oliveira and Edio Luiz Petroski
Criterion-referenced cut-points for health-related fitness measures are lacking. This study aimed to determine the associations between aerobic fitness and high blood pressure levels (HBP) to determine the cut-points that best predict HBP among adolescents.
This cross-sectional school-based study with sample of 875 adolescents aged 14–19 years was conducted in southern Brazil. Aerobic fitness was assessed using the modified Canadian Aerobic Fitness Test (mCAFT). Systolic and diastolic blood pressure were measured by the oscillometric method with a digital sphygmomanometer. Analyses controlled for sociodemographic variables, physical activity, body mass and biological maturation.
Receiver Operating Characteristic (ROC) curves demonstrated that mCAFT measures could discriminate HBP in both sexes (female: AUC = 0.70; male: AUC = 0.63). The cut-points with the best discriminatory power for HBP were 32 mL·kg-1·min-1 for females and 40 mL·kg-1·min-1 for males. Females (OR = 8.4; 95% CI: 2.1, 33.7) and males (OR: 2.5; CI 95%: 1.2, 5.2) with low aerobic fitness levels were more likely to have HBP.
mCAFT measures are inversely associated with BP and cut-points from ROC analyses have good discriminatory power for HBP.
Diego Augusto Santos Silva, Diego Giulliano Destro Christofaro, Gerson Luis de Moraes Ferrari, Kelly Samara da Silva, Nelson Nardo, Roberto Jerônimo dos Santos Silva, Rômulo Araújo Fernandes and Valter Cordeiro Barbosa Filho
Luiz Rodrigo Augustemak de Lima, Diego Augusto Santos Silva, Kelly Samara da Silva, Andreia Pelegrini, Isabela de Carlos Back and Edio Luiz Petroski
To examine aerobic fitness, total moderate to vigorous physical activity (MVPA) and also patterns in terms of MVPA between children and adolescents with human immunodeficiency virus (HIV) and controls, and to determine whether differences, if any, are associated with HIV, sex and highly active antiretroviral therapy (HAART).
A cross-sectional analysis was carried out with 130 children and adolescents, aged between 8 and 15 years, divided into two groups (HIV group= 65 patients, control group= 65 healthy participants). Total MVPA was measured by accelerometers and 5 and 10-min bouts were estimated. The peak oxygen uptake (peak VO2) was measured by breath-by-breath respiratory exchange in an incremental cycle ergometer test.
HIV-positive participants had lower peak VO2 (39.2 ± 6.8 vs. 44.5 ± 9.1 ml.kg-1min-1), lower bouts of MVPA of 5-min (19.7 ± 16.6 vs. 26.6 ± 23.5) and 10-min (3.6 ± 3.9 vs. 5.8 ± 7.2), but similar total MVPA (49.5 ± 28.9 vs. 49.1 ± 30.6 min.day-1). HIV infection in untreated, nonprotease inhibitors (PI)- based HAART and PI-based HAART patients was associated with lower 8.5 (95%CI= 12.5–4.6), 7.1 (95%CI= 10.6–3.6) and 4.5 (95%CI= 7.0–2.0) ml.kg-1min-1 of peak VO2.
Children and adolescents with HIV demonstrated lower aerobic fitness compared with the controls and the absence of HAART may increase peak VO2 impairment. Lower bouts of MVPA were also observed in HIV group despite the similar values of total MVPA of controls.
Victor Spiandor Beretta, Fabio Augusto Barbieri, Diego Orcioli-Silva, Paulo Cezar Rocha dos Santos, Lucas Simieli, Rodrigo Vitório and Lilian Teresa Bucken Gobbi
This study aimed to determine the relationship between postural asymmetry and falls in Parkinson’s disease (PD). In total, 28 patients with PD were included. Postural control was analyzed in bipedal, tandem, and unipedal standing. Center of pressure (CoP) parameters were calculated for both limbs, and asymmetry was assessed using the asymmetry index. Logistic regression was used to predict/classify fallers through postural asymmetry. The Spearman correlation was performed to relate asymmetry and falls number. Poisson regression models were created to predict the number of falls in each condition. The results demonstrated that asymmetry can classify 75% of fallers and nonfallers. Asymmetry in anteroposterior-mean velocity of CoP in unipedal standing was related to the number of falls. Poisson regression showed that anteroposterior-mean velocity of CoP predicts falls in PD, indicating that increased asymmetry results in a greater number of falls. Anteroposterior-mean velocity of CoP seems to be a sensitive parameter to detect falls in PD, mainly during a postural challenging task.
Nelson Nardo Jr., Diego Augusto Santos Silva, Gerson Luis de Moraes Ferrari, Edio Luiz Petroski, Ricardo Lucas Pacheco, Priscila Custódio Martins, Luis Carlos Oliveira, Timóteo Leandro Araújo, Anselmo Alexandre Mendes, Samara Pereira Brito Lazarin, Tamires Leal Cordeiro dos Santos and Victor Matsudo
Very few studies have comprehensively analyzed the physical activity of children and adolescents in Brazil. The purpose of this article is to show the methodology and summarize findings from the first Brazilian Report Card on Physical Activity for Children and Youth.
Three Brazilian research institutions coordinated the activities to develop the Brazilian 2016 Report Card. The data available were collected independently and then synthesized by the Research Work Group using the grade system developed for the First Global Matrix released in 2014, which included 9 indicators of physical activity. Where possible, grades were assigned based on the percentage of children and youth meeting each indicator: A is 81% to 100%; B is 61% to 80%; C is 41% to 60%; D is 21% to 40%; F is 0% to 20%; INC is incomplete data.
Among the 9 indicators, only 5 had sufficient data for grading. Overall Physical Activity received a C- grade, Active Transportation received a C+ grade, Sedentary Behavior received a D+ grade, and Government Strategies and Investments received a D grade.
The low grades observed highlight the need for continued efforts aimed at improving physical activity in Brazilian children.
Silvia A. González, Joel D. Barnes, Patrick Abi Nader, Dolores Susana Andrade Tenesaca, Javier Brazo-Sayavera, Karla I. Galaviz, Marianella Herrera-Cuenca, Piyawat Katewongsa, Juan López-Taylor, Yang Liu, Bilyana Mileva, Angélica María Ochoa Avilés, Diego Augusto Santos Silva, Pairoj Saonuam and Mark S. Tremblay
Background: The Global Matrix 3.0 brings together the Report Card grades for 10 physical activity indicators for children and youth from 49 countries. This study describes and compares the Global Matrix 3.0 findings among 10 countries with high Human Development Index. Methods: Report Cards on physical activity indicators were developed by each country following a harmonized process. Countries informed their Report Cards with the best and most recent evidence available. Indicators were graded using a common grading rubric and benchmarks established by the Active Healthy Kids Global Alliance. A database of grades from the countries was compiled, and letter grades were converted to numerical equivalents. Descriptive statistics and scores for groups of indicators were calculated, and correlation analyses were conducted. Results: Grades for the 10 countries clustered around “D” ranging from “F” to “B+.” Active Transportation had the highest average grade (“C”), whereas Overall Physical Activity had the lowest average grade (“D-”). Low grades were observed for both behavioral and sources of influence indicators. Conclusions: In the context of social and economical changes of high- Human Development Index countries, urgent actions to increase physical activity among children and youth are required. Surveillance and monitoring efforts are required to fill research gaps.
Salomé Aubert, Joel D. Barnes, Chalchisa Abdeta, Patrick Abi Nader, Ade F. Adeniyi, Nicolas Aguilar-Farias, Dolores S. Andrade Tenesaca, Jasmin Bhawra, Javier Brazo-Sayavera, Greet Cardon, Chen-Kang Chang, Christine Delisle Nyström, Yolanda Demetriou, Catherine E. Draper, Lowri Edwards, Arunas Emeljanovas, Aleš Gába, Karla I. Galaviz, Silvia A. González, Marianella Herrera-Cuenca, Wendy Y. Huang, Izzeldin A.E. Ibrahim, Jaak Jürimäe, Katariina Kämppi, Tarun R. Katapally, Piyawat Katewongsa, Peter T. Katzmarzyk, Asaduzzaman Khan, Agata Korcz, Yeon Soo Kim, Estelle Lambert, Eun-Young Lee, Marie Löf, Tom Loney, Juan López-Taylor, Yang Liu, Daga Makaza, Taru Manyanga, Bilyana Mileva, Shawnda A. Morrison, Jorge Mota, Vida K. Nyawornota, Reginald Ocansey, John J. Reilly, Blanca Roman-Viñas, Diego Augusto Santos Silva, Pairoj Saonuam, John Scriven, Jan Seghers, Natasha Schranz, Thomas Skovgaard, Melody Smith, Martyn Standage, Gregor Starc, Gareth Stratton, Narayan Subedi, Tim Takken, Tuija Tammelin, Chiaki Tanaka, David Thivel, Dawn Tladi, Richard Tyler, Riaz Uddin, Alun Williams, Stephen H.S. Wong, Ching-Lin Wu, Paweł Zembura and Mark S. Tremblay
Background: Accumulating sufficient moderate to vigorous physical activity is recognized as a key determinant of physical, physiological, developmental, mental, cognitive, and social health among children and youth (aged 5–17 y). The Global Matrix 3.0 of Report Card grades on physical activity was developed to achieve a better understanding of the global variation in child and youth physical activity and associated supports. Methods: Work groups from 49 countries followed harmonized procedures to develop their Report Cards by grading 10 common indicators using the best available data. The participating countries were divided into 3 categories using the United Nations’ human development index (HDI) classification (low or medium, high, and very high HDI). Results: A total of 490 grades, including 369 letter grades and 121 incomplete grades, were assigned by the 49 work groups. Overall, an average grade of “C-,” “D+,” and “C-” was obtained for the low and medium HDI countries, high HDI countries, and very high HDI countries, respectively. Conclusions: The present study provides rich new evidence showing that the situation regarding the physical activity of children and youth is a concern worldwide. Strategic public investments to implement effective interventions to increase physical activity opportunities are needed.