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Sherry Everett Jones, Nancy D. Brener, and Tim McManus, 2003. The physical environment in schools is receiving increased national attention. Several federal efforts to improve school environments have been implemented during the past 5 years. In 1997, President Clinton created the Task Force on Environmental Health Risks and Safety Risks to Children. On April 18, 2003, President Bush signed an executive order to extend the work of the task force through 2005. Cochaired by the administrator of the Environmental Protection Agency and the secretary of the Department of Health and Human Services, the task force is charged with identifying and developing federal strategies to protect children from environmental health threats.

In October 2001, the task force created a Schools Workgroup to explore ways for federal departments and agencies to expand cooperation to improve school environmental health. The Schools Workgroup’s goals are to improve children’s health and school performance by making existing and new schools healthier places to learn, and to ease the burden on underfunded and overextended school districts and schools by improving coordination and collaboration among federal, state, and local programs.

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Angie L. Cradock, Steven J. Melly, Joseph G. Allen, Jeffrey S. Morris, Steven L. Gortmaker, 2007. Previous research suggests that school characteristics may influence physical activity. However, few studies have examined associations between school building and campus characteristics and objective measures of physical activity among middle school students.

Students from ten middle schools (n=248, 42% female, mean age 13.7 years) wore TriTrac-R3D accelerometers in 1997 recording measures of minute-by-minute physical movements during the school day that were then averaged over 15-minute intervals (n=16,619) and log-transformed. School characteristics, including school campus area, play area, and building area (per student) were assessed retrospectively in 2004–2005 using land-use parcel data, site visits, ortho-photos, architectural plans, and site maps. In 2006, linear mixed models using SAS PROC MIXED were fit to examine associations between school environmental variables and physical activity, controlling for potentially confounding variables.

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Catrine Tudor-Locke1, Cora L Craig, Michael W Beets, Sarahjane Belton, Greet M Cardon, Scott Duncan, Yoshiro Hatano, David R Lubans, Timothy S Olds, Anders Raustorp, David A Rowe, John C Spence, Shigeho Tanaka and Steven N Blair, 2011.

Worldwide, public health physical activity guidelines include special emphasis on populations of children (typically 6-11 years) and adolescents (typically 12-19 years). Existing guidelines are commonly expressed in terms of frequency, time, and intensity of behaviour. However, the simple step output from both accelerometers and pedometers is gaining increased credibility in research and practice as a reasonable approximation of daily ambulatory physical activity volume. Therefore, the purpose of this article is to review existing child and adolescent objectively monitored step-defined physical activity literature to provide researchers, practitioners, and lay people who use accelerometers and pedometers with evidence-based translations of these public health guidelines in terms of steps/day. In terms of normative data (i.e., expected values), the updated international literature indicates that we can expect 1) among children, boys to average 12,000 to 16,000 steps/day and girls to average 10,000 to 13,000 steps/day; and, 2) adolescents to steadily decrease steps/day until approximately 8,000-9,000 steps/day are observed in 18-year olds. Controlled studies of cadence show that continuous MVPA walking produces 3,300-3,500 steps in 30 minutes or 6,600-7,000 steps in 60 minutes in 10-15 year olds. Limited evidence suggests that a total daily physical activity volume of 10,000-14,000 steps/day is associated with 60-100 minutes of MVPA in preschool children (approximately 4-6 years of age). Across studies, 60 minutes of MVPA in primary/elementary school children appears to be achieved, on average, within a total volume of 13,000 to 15,000 steps/day in boys and 11,000 to 12,000 steps/day in girls. For adolescents (both boys and girls), 10,000 to 11,700 may be associated with 60 minutes of MVPA. Translations of time- and intensity-based guidelines may be higher than existing normative data (e.g., in adolescents) and therefore will be more difficult to achieve (but not impossible nor contraindicated). Recommendations are preliminary and further research is needed to confirm and extend values for measured cadences, associated speeds, and MET values in young people; continue to accumulate normative data (expected values) for both steps/day and MVPA across ages and populations; and, conduct longitudinal and intervention studies in children and adolescents required to inform the shape of step-defined physical activity dose-response curves associated with various health parameters.

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Glen I. Earthman, 2002. School building design features and components have been proven to have a measurable influence upon student learning. Among the influential features and components are those impacting temperature, lighting, acoustics and age. Researchers have found a negative influence upon student performance in buildings where deficiencies in any of these features exist.

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Earthman & Lemasters, 2009. This research was designed to investigate the possible relationship between the attitudes,teachers have about the condition of their classrooms when the classrooms were independently assessed. Previous research reported teachers in unsatisfactory classrooms felt frustrated and neglected to such an extent that they sometimes reported they were willing to leave the teaching profession. This paper aims to address these issues.

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Wen Wang, William D. Duncombe, and John M. Yinger, 2011. States are financing a larger share of capital investment by school districts but little is known about how districts respond to facility aid programs. Our paper addresses this gap in the literature by examining how a short-term increase in the matching rate for the Building Aid program in New York affected district capital investment decisions. We estimate a capital investment model and find that most districts are responsive to price incentives but that price responsiveness is related to the fiscal health and urban location of the district. Drawing on these results, we provide recommendations for the design of capital investment aid programs to increase their effectiveness in supporting high-need urban districts.

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Fisk, Mendell, Davies, Eliseeva, Faulkner, Hong, and Sullivan, 2012. This document summarizes a research effort on demand controlled ventilation and classroom ventilation. The research on demand controlled ventilation included field studies and building energy modeling.

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Mendell, Eliseeva, Davies, Spears, Lobscheid, Fisk, and Apte, 2013. Limited evidence associates inadequate classroom ventilation rates (VRs) with increased illness absence (IA). We investigated relationships between VRs and IA in California elementary schools over two school years in 162 3rd-5th grade classrooms in 28 schools in three school districts.

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Tanner, C. K. (2014). Linking measurements of the physical environment’s physiognomies to human behavior and productivity is a rather new task in the fields of education, and social and natural sciences. In education; for example, how can a schoolhouse and its surroundings be measured such that valid and reliable comparisons can be made among student outcomes? For example, how do school environments influence student behavior and other outcomes? How do we quantify specific features of the physical environment of the school? Obviously, we already accept the quantification of student testing and other measurable outcomes based on our continual dependence on standardized tests for making decisions. The article approaches this issue through rules of consistent measurement and mapping practices. Three common measurement scales, nominal, ordinal, and interval scales are compared. The nominal scale is shown to be of unequivocally no value in making quantitative comparisons, beyond classifying and categorizing assigned values. The ordinal and interval scales may be considered as vectors having magnitude and direction, while the nominal scale does not fit into correlations, regression, and prediction equations because the nominal classification cannot show direction or specify magnitude. Examples of the use of ordinal and interval scales are presented with respect to comparisons of student outcomes and measured environmental variables having magnitude and direction.

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