Background: Shared risk factors of type 2 diabetes mellitus (T2DM) between parents at risk and their children, such as low physical activity levels, should be addressed to prevent the development of the disease. The aim of this study was to determine the association of objectively measured step counts per day between parents at risk of developing T2DM and their 6- to 10-year-old children. Methods: The baseline data from the Feel4Diabetes study were analyzed. Dyads of children and one parent (n = 250, 54.4% girls and 77.6% mothers) from Belgium were included. Step counts per day during 5 consecutive days from parents and their children were objectively measured with ActiGraph accelerometers. Results: Adjusted linear regression models indicated that parents’ and children’s step counts were significantly associated during all days (β = 0.245), weekdays (β = 0.205), and weekend days (β = 0.316) (P ≤ .002 in all cases). Specifically, mother–daughter associations during all days and weekend days and father–son step counts during weekdays and when considering all days were significant. Conclusion: There is a positive association between step counts from adults at risk of developing T2DM and their children, especially in the mother–daughter and father–son dyads.
Paloma Flores-Barrantes, Greet Cardon, Iris Iglesia, Luis A. Moreno, Odysseas Androutsos, Yannis Manios, Jemina Kivelä, Jaana Lindström, Marieke De Craemer, and on behalf of the Feel4Diabetes Study Group
Sebastien F.M. Chastin, Duncan E. McGregor, Stuart J.H. Biddle, Greet Cardon, Jean-Philippe Chaput, Philippa M. Dall, Paddy C. Dempsey, Loretta DiPietro, Ulf Ekelund, Peter T. Katzmarzyk, Michael Leitzmann, Emmanuel Stamatakis, and Hidde P. Van der Ploeg
Background: Crucial evidence gaps regarding: (1) the joint association of physical activity and sedentary time with health outcomes and (2) the benefits of light-intensity physical activity were identified during the development of recommendations for the World Health Organization Guidelines on physical activity and sedentary behavior (SB). The authors present alternative ways to evidence the relationship between health outcomes and time spent in physical activity and SB and examine how this could be translated into a combined recommendation in future guidelines. Methods: We used compositional data analysis to quantify the dose–response associations between the balance of time spent in physical activity and SB with all-cause mortality. The authors applied this approach using 2005–2006 National Health and Nutrition Examination Survey accelerometer data. Results: Different combinations of time spent in moderate- to vigorous-intensity physical activity, light-intensity physical activity, and SB are associated with similar all-cause mortality risk level. A balance of more than 2.5 minutes of moderate- to vigorous-intensity physical activity per hour of daily sedentary time is associated with the same magnitude of risk reduction for all-cause mortality as obtained by being physically active according to the current recommendations. Conclusion: This method could be applied to provide evidence for more flexible recommendations in the future with options to act on different behaviors depending on individuals’ circumstances and capacity.
Nele Huys, Vicky Van Stappen, Samyah Shadid, Marieke De Craemer, Odysseas Androutsos, Jaana Lindström, Konstantinos Makrilakis, Maria S. de Sabata, Luis Moreno, Pilar De Miguel-Etayo, Violeta Iotova, Imre Rurik, Yannis Manios, Greet Cardon, and on behalf of the Feel4Diabetes-Study Group
Background: This study aimed to investigate whether the relationship between psychosocial and perceived environmental factors and physical activity (PA) in adults at risk for type 2 diabetes is influenced by educational level. Methods: Based on the Finnish Diabetes Risk Score questionnaire, this study selected 164 adults (M age: 38 (5.34) y, 13.4% men) at type 2 diabetes risk from 11 low socioeconomic neighborhoods in Flanders (Belgium). Participants filled out questionnaires on psychosocial and perceived environmental factors and wore an ActiGraph accelerometer for 5 consecutive days. Statistical analyses were performed using analysis of covariance in SPSS. Results: Educational level significantly influenced the association between perception of body weight and light PA (P = .01) and total PA (P = .03) on weekend days. Educational level did not influence the associations between other psychosocial and perceived environmental factors (ie, perceived social influence; environmental, time and attitudinal barriers, perceived self-efficacy; knowledge and fatalism) and PA. Conclusions: Educational level did not influence the relationship between most psychosocial and perceived environmental factors and PA in this sample of adults at type 2 diabetes risk. This suggests that addressing different psychosocial and perceived environmental correlates in lower and higher educated participants might not be necessary. However, more research in this specific population is needed.
Salomé Aubert, Joel D. Barnes, Nicolas Aguilar-Farias, Greet Cardon, Chen-Kang Chang, Christine Delisle Nyström, Yolanda Demetriou, Lowri Edwards, Arunas Emeljanovas, Aleš Gába, Wendy Y. Huang, Izzeldin A.E. Ibrahim, Jaak Jürimäe, Peter T. Katzmarzyk, Agata Korcz, Yeon Soo Kim, Eun-Young Lee, Marie Löf, Tom Loney, Shawnda A. Morrison, Jorge Mota, John J. Reilly, Blanca Roman-Viñas, Natasha Schranz, John Scriven, Jan Seghers, Thomas Skovgaard, Melody Smith, Martyn Standage, Gregor Starc, Gareth Stratton, Tim Takken, Tuija Tammelin, Chiaki Tanaka, David Thivel, Richard Tyler, Alun Williams, Stephen H.S. Wong, Paweł Zembura, and Mark S. Tremblay
Background: To better understand the childhood physical inactivity crisis, Report Cards on physical activity of children and youth were prepared concurrently in 30 very high Human Development Index countries. The aim of this article was to present, describe, and compare the findings from these Report Cards. Methods: The Report Cards were developed using a harmonized process for data gathering, assessing, and assigning grades to 10 common physical activity indicators. Descriptive statistics were calculated after converting letter grades to interval variables, and correlational analyses between the 10 common indicators were performed using Spearman’s rank correlation coefficients. Results: A matrix of 300 grades was obtained with substantial variations within and between countries. Low grades were observed for behavioral indicators, and higher grades were observed for sources of influence indicators, indicating a disconnect between supports and desired behaviors. Conclusion: This analysis summarizes the level and context of the physical activity of children and youth among very high Human Development Index countries, and provides additional evidence that the situation regarding physical activity in children and youth is very concerning. Unless a major shift to a more active lifestyle happens soon, a high rate of noncommunicable diseases can be anticipated when this generation of children reaches adulthood.
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.