scholarly journals New physical activity spaces in deprived neighborhoods: Does it change outdoor play and sedentary behavior? A natural experiment

2019 ◽  
Vol 58 ◽  
pp. 102151 ◽  
Author(s):  
Famke J.M. Mölenberg ◽  
J.Mark Noordzij ◽  
Alex Burdorf ◽  
Frank J. van Lenthe
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Natural Experiment ◽  
Outdoor Play ◽  
Activity Spaces ◽  
Deprived Neighborhoods

scholarly journals Impacts of active school design on school-time sedentary behavior and physical activity: A pilot natural experiment

PLoS ONE ◽  
2017 ◽  
Vol 12 (12) ◽  
pp. e0189236 ◽  
Author(s):  
Jeri Brittin ◽  
Leah Frerichs ◽  
John R. Sirard ◽  
Nancy M. Wells ◽  
Beth M. Myers ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Natural Experiment ◽  
School Design ◽  
School Time

scholarly journals Neighborhood Socioeconomic Deprivation Associated with Fat Mass and Weight Status in Youth

2020 ◽  
Vol 17 (17) ◽  
pp. 6421
Author(s):  
Morgan Clennin ◽  
Asia Brown ◽  
Min Lian ◽  
Marsha Dowda ◽  
Natalie Colabianchi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Fat Mass ◽  
Weight Status ◽  
Vigorous Physical Activity ◽  
Socioeconomic Deprivation ◽  
Multilevel Regression ◽  
Fat Mass Index ◽  
Deprived Neighborhoods ◽  
Before And After

(1) Background: Few studies have examined the relationship between neighborhood socioeconomic deprivation (SED) and weight-related outcomes in youth, controlling for weight-related behaviors. Hence, the purpose of this study was to examine the association between neighborhood SED, weight status, and fat mass in a diverse sample of youth, before and after controlling for physical activity and diet. (2) Methods: The sample included 828 youth from the Transitions and Activity Changes in Kids study. Neighborhood SED was expressed as an index score at the census tract of residence. Height, weight, and body composition were measured and used to calculate fat mass index (FMI) and weight status. Moderate-to-vigorous physical activity (MVPA) and sedentary behavior (min/h) were measured via accelerometry. Diet quality was assessed via the Block Food Screener for Kids. Multilevel regression models were employed to examine these relationships. (3) Results: Neighborhood SED was significantly associated with FMI and weight status before and after controlling for MVPA, sedentary behavior, and diet. Notably, youth residing in the most deprived neighborhoods had significantly higher FMI and were 30% more likely to be overweight/obese (OR = 1.30; 95% CI = 1.03–1.65). (4) Conclusions: Greater neighborhood SED was consistently and significantly associated with higher fat mass index and increased likelihood of overweight/obesity among youth.

scholarly journals Impact of Activity-Based Working and Height-Adjustable Desks on Physical Activity, Sedentary Behavior, and Space Utilization among Office Workers: A Natural Experiment

2019 ◽  
Vol 17 (1) ◽  
pp. 236
Author(s):  
Takashi Jindo ◽  
Yuko Kai ◽  
Naruki Kitano ◽  
Kyohsuke Wakaba ◽  
Mitsuru Makishima ◽  
...  
Keyword(s):  
Physical Activity ◽  
Object Detection ◽  
Sedentary Behavior ◽  
Natural Experiment ◽  
Working Hours ◽  
Office Workers ◽  
Control Group ◽  
Space Utilization ◽  
Office Environment ◽  
Detection Analysis

It has been reported that office environment is an important determinant of physical activity (PA) and sedentary behavior (SB) in office workers. However, the effect of changes in office environment (office renovation) is unclear. The purpose of this study was to examine PA, SB, and space utilization changes among office workers in response to office renovation. This study was a natural experiment at three offices of a single company in Tokyo, Japan. The participants were, 13 workers from one office in the renovation group (mean age: 37.9 ± 10.8 years, percentage of females: 23.1%) and 29 from two offices in the control group (mean age: 42.3 ± 11.2 years, percentage of females: 31.0%). In the renovation, introduction of activity-based working (ABW) and installation of height-adjustable desks (HAD) were adopted. The ABW office was designed to provide various shared workstations, enabling the workers to choose workstations depending on their task or mood. Accelerometer measurement and object detection method using artificial intelligence (AI) technology for video images were used to assess behavior and space utilization before and after the renovation. Two weeks after the renovation, significant improvements in SB (pre- to post-renovation improvements: 346.8 ± 28.6 to 321.2 ± 17.8 min/working-hours) and PA (total PA: 173.2 ± 28.6 to 198.8 ± 17.8 min/working-hours; and light-intensity PA: 130.4 ± 27.1 to 150.7 ± 31.0 min/working-hours) were observed. In addition, the results of the object detection analysis showed that the central aisle of the office and shared HAD workstations near the entrance or window were utilized more frequently than the other spaces. This study suggested that office renovation could improve SB and PA immediately after the renovation. Moreover, utilized spaces and HAD workstations could play an important role to enhance employees’ activity in an ABW office.

scholarly journals Relating outdoor play to sedentary behavior and physical activity in youth - results from a cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Carina Nigg ◽  
Claudia Niessner ◽  
Claudio R. Nigg ◽  
Doris Oriwol ◽  
Steffen C. E. Schmidt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Early Childhood ◽  
Children And Adolescents ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Vigorous Physical Activity ◽  
Outdoor Play ◽  
Childhood And Adolescence ◽  
Research Gaps ◽  
Cross Sectional

Abstract Background Outdoor play, sedentary behavior (SB), and moderate-to-vigorous physical activity (MVPA) are related to youth’s health, however, there are research gaps regarding 1) associations between outdoor play, SB, and MVPA across a broad pediatric age range (6–17 years), and 2) longitudinal associations between outdoor play, SB, and MVPA across childhood and adolescence. Two studies were conducted to address those research gaps: Study 1 aimed to investigate relationships between outdoor play and accelerometer-assessed SB and MVPA in a cross-sectional nationwide sample of children and adolescents in Germany. Study 2 aimed to investigate prospective associations between outdoor play and self-reported screen-time SB and MVPA and in a sample of children with three measurement timepoints across 11 years. Methods Data were obtained of the German national representative Motorik-Modul (MoMo) Study and the German Health Interview and Examination Survey for Children and Adolescents (KiGGS). In Study 1, N = 2278 participants (6–17 years) were included with self-reported outdoor play and accelerometer-assessed SB and MVPA. Associations were examined via multiple linear regressions. In Study 2, N = 570 participants (baseline: 4–7 years) were included in the longitudinal analysis with follow-ups six and 11 years later. Screen-time SB (TV watching and PC/Gaming), MVPA, and outdoor play were self-reported. Associations were investigated through a path prediction model. Results Study 1 showed that compared to <1 h outdoor play, higher engagement in daily outdoor play was related to lower SB (1-2 h: − 9.75 min/day, P = 0.017; ≥2 h: − 17.78 min/day, P < 0.001) and higher MVPA (≥2 h: + 3.87 min/day, P = 0.001). The cross-sectional relationship between MVPA and outdoor play was moderated by sex (in favor of males) and age (in favor of younger children). Study 2 showed that outdoor play in early childhood negatively predicted PC use/Gaming in later childhood, but was unrelated to MVPA. Conclusion In Study 1, outdoor play was negatively related to SB cross-sectionally. In Study 2, outdoor play in early childhood was negatively related to PC and Gaming time in later childhood. Thus, providing outdoor play opportunities, especially during early childhood, has potential to prevent SB. Future research should investigate longitudinal relationships using device-based assessments for SB and MVPA.

Attributes of Child Care Centers and Outdoor Play Areas Associated With Preschoolers’ Physical Activity and Sedentary Behavior

2010 ◽  
Vol 44 (3) ◽  
pp. 334-349 ◽  
Author(s):  
Takemi Sugiyama ◽  
Anthony D. Okely ◽  
Jane M. Masters ◽  
Gary T. Moore
Keyword(s):  
Physical Activity ◽  
Child Care ◽  
Sedentary Behavior ◽  
Outdoor Play ◽  
Child Care Centers

scholarly journals Results From Scotland’s 2016 Report Card on Physical Activity for Children and Youth

2016 ◽  
Vol 13 (s2) ◽  
pp. S251-S255 ◽  
Author(s):  
John J. Reilly ◽  
Avril Johnstone ◽  
Geraldine McNeill ◽  
Adrienne R. Hughes
Keyword(s):  
Physical Activity ◽  
Health Behaviors ◽  
Sedentary Behavior ◽  
Peer Influence ◽  
Sport Participation ◽  
International Comparisons ◽  
Report Card ◽  
Outdoor Play ◽  
Active Commuting ◽  
Perceived Safety

Background:The 2016 Active Healthy Kids Scotland Report Card aims to improve surveillance of physical activity (PA), facilitate international comparisons, and encourage evidence-informed PA and health policy.Methods:Active Healthy Kids Canada Report Card methodology was used: a search for data on child and adolescent PA and health published after the 2013 Scottish Report Card was carried out. Data sources were considered for grading if based on representative samples with prevalence estimates made using methods with low bias. Ten health behaviors/outcomes were graded on an A to F scale based on quintiles (prevalence meeting recommendations ≥80% graded A down to <20% graded F).Results:Three of the seven Health Behaviors and Outcomes received F or F- grades: Overall PA, Sedentary Behavior, and Obesity. Active and Outdoor Play and Organized Sport Participation could not be graded. Active Commuting to School was graded C, and Diet was graded D-. Family and Peer Influence was graded D-; Perceived Safety and Availability of Space for PA as well as the National Policy Environment were more favorable (both B).Conclusions:Grades were identical to those in 2013. Scotland has a generally favorable environment for PA, but children and adolescents have low PA and high sedentary behavior. Gaps in surveillance included lack of objectively measured PA, no surveillance of moderate-to-vigorous PA in children, summary surveillance data not expressed in ways which match recommendations (eg, for PA in young children; for screen-time), and no surveillance of Sport Participation, Active and Outdoor Play, or Sitting. Scottish policy does not include sedentary behavior at present.

Comparisons of physical activity and sedentary behavior between owners and non-owners of commercial wearable devices

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Short Form ◽  
Wearable Devices ◽  
Wearable Device ◽  
World Health ◽  
World Health Organization Quality ◽  
Quality Of Life Scale

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.

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