sedentary time to ensure good present and future health for youth with disabilities. To design PA interventions for youth with disabilities, it is first necessary to know levels of PA and how PA is influenced by different factors, such as sex, age, and type of disability. This information is important for
Karin Lobenius-Palmér, Birgitta Sjöqvist, Anita Hurtig-Wennlöf and Lars-Olov Lundqvist
Claudio Sartini, Richard W Morris, Peter H Whincup, S Goya Wannamethee, Sarah Ash, Lucy Lennon and Barbara J Jefferis
Sedentary behavior is very common in older adults and a risk factor for mortality. Understanding determinants of sedentary behavior may help in defining strategies aimed to reduce the time spent sedentary. The degree of difference in sedentary time attributable to varying temperatures has not been yet estimated in older men.
Men aged 71 to 91 years participating in an established UK population-based cohort study were invited to wear an Actigraph GT3X accelerometer for 1 week in 2010–12. Outcome was sedentary time (<1.5 Metabolic Equivalent of Task) in minutes per day. Associations between daily outdoor maximum temperature and accelerometer-measured sedentary time were estimated using multilevel models.
43% (1361/3137) of invited men participated in the study and provided adequate data. Men spent on average 615 minutes in sedentary time per day (72% of the total accelerometer-wear time). After adjusting for covariates, men spent 26 minutes more per day (P < .001) in sedentary time when temperatures were in the lowest (–3.5; 9.2°C) versus highest quintile (19.1; 29.5°C).
Sedentary time in older adults is highest at lowest temperatures, typically recorded in winter. Findings are relevant for guidelines: interventions may consider targeting older men in winter providing recommendations for minimizing sedentariness on daily basis.
Heidi J. Syväoja, Anna Kankaanpää, Jouni Kallio, Harto Hakonen, Janne Kulmala, Charles H. Hillman, Anu-Katriina Pesonen and Tuija H. Tammelin
raised concerns about the effects of a physically inactive lifestyle on children’s health during maturation and across the lifespan, as physical activity (PA) continues to decrease and sedentary time (ST) continues to increase from childhood to adolescence and adulthood. 5 , 6 The association of a
Pauline M. Genin, Frédéric Dutheil, Benjamin Larras, Yoland Esquirol, Yves Boirie, Angelo Tremblay, Bruno Pereira, Corinne Praznoczy, David Thivel and Martine Duclos
The modernization of our societies has resulted in a steady increase in service industry occupations (tertiarization), which have favored increased sedentary time, while reducing occupational physical activity. In less than 50 years, the United States has increased sedentary professions by about 20
Paddy C. Dempsey, Chuck E. Matthews, S. Ghazaleh Dashti, Aiden R. Doherty, Audrey Bergouignan, Eline H. van Roekel, David W. Dunstan, Nicholas J. Wareham, Thomas E. Yates, Katrien Wijndaele and Brigid M. Lynch
recommended amounts of moderate- to vigorous-intensity physical activity (MVPA). 5 – 8 Moreover, observational studies 9 – 11 and an accumulating body of acute experimental studies 12 suggest that specific patterns of sedentary time (ie, whether sedentary behavior is undertaken in more prolonged or shorter
Kenneth E. Powell, Abby C. King, David M. Buchner, Wayne W. Campbell, Loretta DiPietro, Kirk I. Erickson, Charles H. Hillman, John M. Jakicic, Kathleen F. Janz, Peter T. Katzmarzyk, William E. Kraus, Richard F. Macko, David X. Marquez, Anne McTiernan, Russell R. Pate, Linda S. Pescatello and Melicia C. Whitt-Glover
al. 31 TV indicates television. Sedentary time, light physical activity, and MVPA interact within a finite, 24-hour day. A heat map developed by the 2018 PAGAC committee depicts the risk of all-cause mortality associated with various combinations of sitting time (in hours) and MVPA (in minutes) (Figure
In the past, a self-report measure of sitting time, TV time, and/or computer time was the method typically used to assess sedentary time. More recently, wearable accelerometers have become the method of choice to improve measurement accuracy and precision. Numerous prediction methods are available
Richard Tyler, Marianne Mannello, Rebecca Mattingley, Chris Roberts, Robert Sage, Suzan R Taylor, Malcolm Ward, Simon Williams and Gareth Stratton
This is the second Active Healthy Kids Wales Report Card. The 2016 version consolidates and translates research related to physical activity (PA) among children and youth in Wales, and aims to raise the awareness of children’s engagement in PA and sedentary behaviors.
Ten PA indicators were graded using the Active Healthy Kids—Canada Report Card methodology involving a synthesis and expert consensus of the best available evidence.
Grades were assigned as follows: Overall PA, D+; Organized Sport Participation, C; Active and Outdoor Play, C; Active Transportation, C; Sedentary Behaviors, D-; Physical Literacy, INC; Family and Peer Influences, D+; School, B; Community and the Built Environment, C; and National Government Policy, Strategies, and Investments, B-.
Despite the existence of sound policies, programs, and infrastructure, PA levels of children and youth in Wales are one of the lowest and sedentary behavior one of the highest globally. From the 2014 Report Card, the Family and Peer Influences grade improved from D to D+, whereas Community and the Built Environment dropped from B to C. These results indicate that a concerted effort is required to increase PA and decrease sedentary time in children and young people in Wales.
Lucy-Joy M. Wachira, Stella K. Muthuri, Mark S. Tremblay and Vincent O. Onywera
The report card presents available evidence on the physical activity (PA) and body weight status of Kenyan children and youth. It highlights areas where Kenya is succeeding and those in which more action is needed.
Comprehensive review and analysis of available data on core indicators for Kenyan children and youth 5−17 years were conducted. The grading system used was based on a set of specific criteria and existing grading schemes from similar report cards in other countries.
Of the 10 core indicators discussed, body composition was favorable (grade B) while overall PA levels, organized sport participation, and active play were assigned grades of C. Active transportation and sedentary behaviors were also favorable (grade B). Family/peers, school, governmental and nongovernmental strategies were graded C.
The majority of Kenyan children and youth have healthy body composition levels and acceptable sedentary time, but are not doing as well in attaining the World Health Organization (WHO) recommendation on PA. Although Kenya seems to be doing well in most indicators compared with some developed countries, there is a need for action to address existing trends toward unhealthy lifestyles. More robust and representative data for all indicators are required.
Jourdin Barkman, Karin Pfeiffer, Allie Diltz and Wei Peng
Replacing sedentary time with physical activity through new generation exergames (eg, XBOX Kinect) is a potential intervention strategy. The study’s purpose was to compare youth energy expenditure while playing different exergames in single- vs. multiplayer mode.
Participants (26 male, 14 female) were 10 to 13 years old. They wore a portable metabolic analyzer while playing 4 XBOX Kinect games for 15 minutes each (2 single-, 2 multiplayer). Repeated-measures ANOVA (with Bonferroni correction) was used to examine player mode differences, controlling for age group, sex, weight status, and game.
There was a significant difference in energy expenditure between single player (mean = 15.4 ml/kg/min, SD = 4.5) and multiplayer mode (mean = 16.8 ml/kg/min, SD = 4.7). Overweight and obese participants (mean = 13.7 ml/kg/min, SD = 4.2) expended less energy than normal weight (mean = 17.8 ml/kg/min, SD = 4.5) during multiplayer mode (d = 0.93).
Player mode, along with personal factors such as weight status, may be important to consider in energy expenditure during exergames.