Environmental factors associated with physical activity in childcare centers
© Henderson et al.; licensee BioMed Central. 2015
Received: 20 June 2014
Accepted: 2 March 2015
Published: 29 March 2015
Child care centers influence physical activity levels among children, yet little is known about the specific aspects of the environment that support generous amounts of activity. The purpose of this study was to examine the practices, and environmental aspects of the child care center that are associated with children’s moderate and vigorous physical activity.
Thirty-five child care centers serving 389 3 to 5 year old children were assessed for: 1) environmental characteristics of the center; and 2) staff practices related to child physical activity. Children’s physical activity was measured using accelerometers over a single day in child care.
Fourteen percent (an average of 9 minutes per waking hour) were spent in moderate to vigorous physical activity (MVPA). The strongest environmental predictors of MVPA were: time spent in outdoor play, suitability of indoor play space, and teacher encouragement of (but not participation in) indoor play.
In order to reach the U.S. recommended 120 minutes of physical activity per day, significant changes will need to occur in the child care setting, including increased time outdoors and more opportunities for indoor physical activity.
KeywordsPhysical activity Childcare Environment
The physical activity levels of children are influenced by environmental factors such as access to public recreation space and infrastructure, access to sidewalks, neighborhood crime and area deprivation [1-3]. Given the importance of establishing a pattern of regular physical activity early in life [4,5], understanding environmental factors that affect the activity levels of young children is essential.
Health organizations and government bodies around the world recognize the importance of physical activity in early childhood; however, many countries do not make specific recommendations about the amounts and type of physical activity necessary for children under the age of five. Among those that do, several recommend that children in this age group accumulate at least three hours of physical activity (any level) each day [6-8]. The Institute of Medicine in the U.S. similarly recommends young children obtain 15 minutes or more of physical activity each waking hour . However, at the time of this writing, the U.S. National Association for Sport and Physical Education’s (NASPE) Active Start guidelines  state that children should acquire at least 60 minutes (up to several hours) of unstructured activity each day and at least 60 minutes of structured activity. U.S. National survey data on preschool aged children are not available; however, the U.S. National Survey of Children’s Health found that in 2011–2012, only 28% of U.S. children ages 6–17 participated in daily vigorous physical activity .
With approximately 60% of three to five year olds attending U.S. childcare centers , investigation of the characteristics that promote or hinder children’s physical activity in this setting is warranted. Prior research indicates that childcare centers play a major role in children’s physical activity. After controlling for individual-level factors, the childcare center can account for 14 to 47 percent of the variance in children’s physical activity [13-16]. For example, Pate and colleagues found that when controlling for children’s gender, age, race, ethnicity, BMI, and parent education, the preschool attended explained an additional 43.3% of the variance in moderate and vigorous activity . Less is known about the specific aspects of the preschool environment that account for these differences [5,17]. In a review of the child care environment and children’s physical activity, Bower, et al.  identified factors that contributed to an environment supportive of physical activity: active opportunities (the combination of time allowed for outdoor play, structured activity, etc.), presence of portable playground equipment and physical activity training and education for children, staff and/or parents. Unexpectedly, this study also found that electronic media use was associated with higher levels of physical activity, while research by Dowda, et al.  found the opposite: lower media use was associated with higher levels of activity. Dowda and colleagues  also found that more portable equipment was associated with higher levels of activity, along with larger playgrounds. This body of research is small—more study is needed to identify features of the child care setting that promote physical activity in order to capitalize on childcare centers’ unique capacity to promote adequate engagement in physical activity among children.
The purpose of this study was to examine the practices and physical aspects of the childcare center environment that are associated with increased levels of children’s moderate and vigorous physical activity and compare children’s rates of physical activity to U.S. national recommendations. This research differs from previous studies, as it includes a large sample of centers and focuses on children from low-income, ethnically diverse populations. In this study, the childcare environment was audited, and children from 35 childcare centers wore accelerometers to objectively measure their activity levels throughout an entire preschool day. Findings from this study may inform state and federal policies, as well as policies of childcare accrediting agencies, that are designed both to improve children’s health and to enhance the overall quality of childcare centers.
This study was part of a larger project designed to document policies and practices in child care centers that participated in the U.S. Child and Adult Care Food Program (CACFP) and that served preschool-aged children (though not necessarily exclusively). Thus, some study criteria were dictated by the larger project goals. The CACFP supports food service in US-based non-profit child care centers, outside-school-hours care centers, Head Start programs, and for-profit early child education centers that enroll at least 25% of children from low-income families.
A pool of 221 licensed full and partial-day Connecticut childcare centers were identified that met the following inclusion criteria: 1) served at least 13 3–5 year olds; 2) participated in the Child and Adult Care Food Program; and 3) were not in-home facilities. From this pool, 40 centers were selected in a random stratified sample to ensure adequate representation of low-income communities. Three to five year old children attending these childcare centers were individually enrolled in the study; infants, toddlers and school-aged children enrolled in the centers were not included in the study.
All methods were approved by the Yale University Institutional Review Board. Children were enrolled in the study via parental consent.
Two domains of the physical activity environment were assessed through an environmental audit: 1) physical characteristics, which included items such as the size of the outdoor play space and the suitability of the indoor play space for a variety of activities; and 2) practices, which included items such as staff participation in outdoor play and staff provision of structured activities. Data on the physical activity environment were collected primarily through direct observation. The development of the audit is described in Henderson et al.  and the observation tools are included in the appendix. Researchers received several hours of training and practice using the audit. Multiple researchers were present at each site visit, and each researcher provided a rating on all audit items. Disagreements among researchers were resolved following the end of each visit.
Child-level variables were assessed through direct observation (i.e. gender), on-site measurement (i.e. height), and through information collected from parent consent forms (i.e. date of birth). Other variables, such as median household income of the census block where centers were located, were collected from online sources.
A number of variables were collected as part of the audit, but not included in analyses due to limited variability across sites. These included physical activity training for teachers, outdoor temperature, restriction of physical activity for punishment, teaching of physical education lessons, presence of video system/VCR/television, and quality of outdoor running space.
Actigraph GT1M accelerometers were used to assess children’s physical activity. Accelerometers are the most popular objective measurement device  and have been validated for use with the preschool population [21-23]. The Actigraph GT1M is small (1.5in x 1.44in x 0.70in), lightweight (27 grams) and unobtrusive to wear.
Research assistants received a two hour training on the use of accelerometers (how they should be fastened, etc.) and how to use the observation tool. The protocol was piloted in one center before beginning data collection and minor revisions were made. Two research assistants visited each preschool to conduct the environmental audit and the accelerometer portion of the study. They arrived at the beginning of the day, placed an elastic belt with an accelerometer on the child, which was worn over the right hip, and recorded the start and end of each child’s individual wear time. The research assistant was present for the full day to ensure that accelerometers were worn correctly, to record the length of various class activities, and to audit the environment. At the end of the day the research assistants compared and discussed the environmental assessments and resolved any discrepancies. The observations lasted an average of 5.13 hours (±1.52 hours). In data cleaning, the portion of accelerometer data corresponding to each center’s naptime was removed in order to focus analyses on waking hours. Therefore, on average, accelerometers were worn for 3.33 hours (±0.7 hours). Accelerometers were numbered and linked to each child by name. The data were downloaded daily to a computer.
Accelerometers were programmed to collect physical activity data in five second sampling intervals in order to capture young children’s short bursts of movement [24,25]. Cut-points for activity levels derived by Evenson and colleagues were applied to the accelerometer data . Evenson’s cut-points were tested with 5–8 year olds and fall in the middle of those used in three other calibration studies conducted with 3–16 year olds [27-29].
Each interval was categorized as sedentary (≤8 counts per 5-sec interval), light (9–191 counts per 5-second interval), moderate (192–334 counts per 5-second interval) or vigorous (335–1400 counts per 5-second interval). Counts beyond 1400 per 5-sec interval were considered outliers and were excluded. Sixty minutes (720 5-second intervals) of consecutive zeros were considered non-wear time.
Body mass index
Children’s height was measured to the nearest 0.25 inch using Seca 214 portable stadiometers. Their weight was measured to the nearest 0.1 lb with Seca Clara 803 digital scales. BMI percentile was calculated using the Centers for Disease Control and Prevention (CDC) Children’s BMI Tool for Schools . Using CDC’s criteria for categorizing weight status, children between the 85th and 94th percentile were considered overweight, while children in the 95th percentile and above were considered obese.
Accelerometer data were processed with MeterPlus software  and analyzed using SPSS . The dependent variable was the proportion of counts spent in moderate and vigorous activity (MVPA) compared to total wear time. The majority of the environmental predictor variables (center-level) were categorical (i.e. yes/no). However, several variables were originally continuous and subsequently categorized in analysis, such as fixed equipment. The decision on how to categorize these variables primarily came from a previous study conducted by Dowda and colleagues , in which variables were split by quartiles or the median. Duration of outdoor play was categorized according to whether the center provided 60 minutes or more of outdoor play, which follows Dowda’s scheme and is also a commonly used benchmark for adequate amounts of physical activity .
Linear mixed models were used in order to account for children nested in classrooms and to simultaneously study child-level and center-level predictors. For each model, the preschool site was entered as a random effect; all other variables were entered as fixed effects. The method of estimation was restricted maximum likelihood. The significance of independent variables was tested, controlling for significant demographic factors, which included gender, age, and BMI percentile.
Adjusted mean percent of moderate and vigorous physical activity (as a function of total accelerometer wear time) by center-level predictor variables in linear mixed models
Adjusted Mean Percent of MVPA (SE)
Suitability of indoor playspace
Posters, books, pictures of PA in class
Classroom area (upper quartile split)
Playground area (upper quartile split)
Fixed equipment (median split)
Portable equipment (median split)
Sedentary equipment (median split)
Drinking water available outdoors
Duration of outdoor play
Num. of children on playground (median split)
Teacher-led outdoor PA
Staff participation in indoor play
Staff participation in outdoor play
Staff encouragement of PA in indoor play
Staff encouragement of PA in outdoor play
Computer availability (to children) per observation day
Median household income of preschool block group1
Coeff = .003651 (.001515)*
A total of 447 children participated in the study, representing participation of over 90% of eligible children at each center. Non-participation was due largely to parents or guardians not returning the required paperwork in time for the study. Fifty-eight children were excluded from analyses due to missing data. Missing data were most commonly due to children who removed the accelerometers prior to the end of the observation period or damaged them during wear, or the (unexplained) malfunctioning of accelerometers simply resulting in failure to record data throughout the wear period. Additionally, we were missing demographic data for 15 children, thus, those children were excluded from analyses. Of the 389 available for analyses, 50% of children were male, 50% were Hispanic, 49% were white, 34% were black, and their mean age in months was 56.4 (±7.9) (4.7 years). The mean BMI percentile was 60.2 (±31.5); 31% of children were overweight or obese.
The results of the linear mixed models for the child-level characteristics (considered control variables in subsequent models) indicate that male children engaged in significantly more MVPA than female children (15.1% of time in MVPA vs. 12.7%, p < .001). Further, older preschoolers were significantly more active, p < .001) as were heavier preschoolers (defined by BMI percentile, p < .01).
Table 1 shows the results of linear mixed model analyses for center- level characteristics, controlling for the child-level characteristics of BMI percentile, gender and age (these findings are reported above). Given the categorical nature of the predictors, adjusted means and their accompanying standard errors are presented. Model coefficients for the non-referent group category may be derived as the difference between estimated marginal means. Several significant center characteristics emerged as important predictors of physical activity. Children had significantly higher levels of MVPA in centers where outdoor play was 60 minutes or longer; indoor classroom space was suitable for all types of activities; staff encouraged children to increase their physical activity during indoor play; and the neighborhood in which the preschool was located had a higher median household income. There was also a positive trend for the presence of posters, books, and pictures featuring physical activity. Centers in which staff participated in indoor play had lower levels of MVPA.
The purpose of this study was to determine the factors associated with higher levels of MVPA among a large sample of ethnically diverse, low-income, U.S. preschoolers. This study extends previous research which showed that preschools account for a significant amount of the variance in children’s physical activity [13-16] and also builds upon more recent work which explores the specific characteristics of childcare centers that are related to increased levels of physical activity [17,18].
Only 14% of observed time was spent in MVPA, which is consistent with prior research [16,17]. This represents an average of 9 minutes per hour, or 27 minutes over the course of the preschool day. Because data were collected in the spring and early summer months and because site visits were purposely scheduled on non-rainy days in order to observe outdoor play, this amount of physical activity is likely an optimistic accounting of MVPA. During other times of the year, the amount of MVPA in which children engage is likely to be lower . It also unlikely that children in full-day childcare are obtaining more MVPA after school [35,36], as this time is likely to be spent at home during dinner and bedtime. Therefore, it is unlikely that preschool children are obtaining the amounts of daily activity recommended by NASPE in the U.S. nor those recommended by health organizations abroad [6-8,10]. For this reason, it is recommended that childcare centers attempt to increase opportunities for MVPA during the day.
Consistent with previous research, our study found that males were significantly more active than females [4,13-16,37,38]. Age (older) and BMI (heavier) were also significant predictors of increased MVPA. The BMI finding was surprising, because others have found no association between BMI and physical activity in preschoolers [13,14,16,38,39].
Also consistent with other studies, the duration of outdoor play had a significant positive association with children’s MVPA [4,17,38-40]. In fact, some researchers posit that because of this strong association, subjective reporting of time spent in outdoor play can even be used as a proxy measure for actual physical activity . Considering the lack of physical activity regulations specific to child-care centers, mandating explicit amounts of physical activity could have a considerable impact on children’s activity levels. Indeed, the New York City Health department has a policy that all full day programs must provide 60 minutes of physical activity per day , and three U.S. states, Alaska, Delaware, and Massachusetts, have physical activity policies that specify a daily number physical activity minutes . However, while cross sectional studies strongly suggest that children who spend more time playing outdoors are more physically active than those who spend less time outdoors, experimental studies are needed to confirm that increasing outdoor play time is an effective strategy to increase physical activity in child care. Only one randomized controlled trial to date has tested this strategy. No significant differences in time spent in MVPA during the entire day or the child care day were found between children assigned to usual amounts of outdoor play and those assigned two additional 30 minute periods of outdoor play during the child care day . Further research is needed.
A literature review of seven accelerometer-based studies that took place in the U.S. (four studies), Scotland (two studies) and Belgium (one study), included 63 different centers and about 1,000 children, found that no centers provided 60 minutes of MVPA . Increasing physical activity opportunities in child-care centers would not cause a financial strain. The challenge for centers would be in scheduling additional physical activities while maintaining the integrity of school readiness activities . In scheduling more active play, centers should consider offering shorter and more frequent opportunities for active play, as opposed to one long play period, as young children will not be able to maintain moderate/vigorous activity for extended bouts .
Given the potential importance of outdoor play in promoting MVPA, an emphasis should be placed on ensuring that children are adequately prepared to be outdoors, which includes proper sun protection and appropriate outerwear and shoes. Childcare centers may skip outdoor play for the entire day if a single child is not dressed appropriately [48,49]. Centers will have to work with parents to ensure that they dress their children appropriately and may also consider creating a communal box of clothing and sun protection items. In the context of limited resources, putting funding toward this endeavor would be worthwhile.
Several aspects of the indoor environment were associated with MVPA, which indicates that the indoor area should not be overlooked as an important site for physical activity. The suitability of the classroom for all activities, staff encouragements to increase physical activity during indoor play, and the presence of physical activity books, posters, and pictures were all associated with higher levels of MVPA. The presence of physical activity materials may be indicative of a center culture that promotes activity. All three of these factors represent no- or low-cost improvements that can be easily implemented in child-care centers. For example, furniture can be moved to allow for a small movement corner. These factors, however, have not been assessed extensively, and therefore it is not yet known if they are reliably associated with MVPA. Future research should include exploration of these aspects of the indoor environment, especially in light of the low costs associated with altering them.
Unlike staff encouragement of physical activity indoors, encouragement outdoors was not a significant predictor of MVPA, which could indicate that children do not need prompting to be active when outdoors. In contrast, a small pilot study with five preschool children showed that teacher-encouraged activities increased MVPA during outdoor play . More research is needed to further assess the impact of staff encouragement on children’s physical activity levels.
The final variable significantly and positively associated with MVPA was the median household income of the neighborhood (defined as census block group) in which the center was located. All of the participating childcare centers were located in low income communities. Even within this restricted sample, the higher income neighborhoods were linked to higher MVPA. This finding may be related to issues of neighborhood safety and quality, which could impact centers’ operations in a variety of ways. In a literature review of environmental attributes that influence children’s physical activity, Davison and colleagues reported that objective measures of crime rates and area deprivation were significantly, negatively associated with children’s physical activity . Childcare centers located in lower income neighborhoods may need to utilize their indoor play spaces more extensively and secure safe outdoor spaces for play. It is important to note that this finding in our sample is correlational – thus, greater MVPA in higher-income neighborhoods may be produced by an unmeasured variable.
One environmental factor, staff participation in indoor play, was significantly and negatively associated with MVPA. This finding was surprising and warrants additional exploration. Observational learning via modeling is considered an important element in learning and health theories . Based on this premise, it was expected that if teachers also participate in physical activity, children’s activity levels would increase. In conversations with childcare teachers, they mentioned that a major barrier to children’s physical activity was teachers who do not participate in physical activities with the children. A possible explanation for this finding is that in indoor environments, which are limited in space, adults decrease the activity level by reducing space available to children, whereas outdoors, space is generally adequate to accommodate full movement of all children and adults. An alternative explanation may be that there are more safety concerns indoors to which adults respond when they participate in the activity, which might lower activity levels. Finally, teachers may tend to initiate their own participation more when children are less active – that is, increased teacher participation is an effect rather than a cause of lower MVPA in children. Further research is need to explore this association.
Conversely, staff participation in outdoor play was not significantly associated, positively or negatively, with children’s MVPA. Structured physical activity, in which teachers led activities indoors or outdoors, was also not significantly associated with increased MVPA. Intervention studies that have assessed the impact of increased structured physical activity on total daily physical activity have had mixed results . Additionally, increased teacher-led physical activity may compromise the amount of time children are able to engage in self-directed play, which is important for child development .
Many of the environmental factors measured did not have significant associations with MVPA in this sample, such as outdoor play area size, types of play equipment, electronic media, and physical activity policies. Some of these factors, like electronic media, have inconsistent results across studies , while others, such as types of play equipment [17,18,53-55] and open space , have a small supportive evidence base. Discrepancies in findings between this study and other studies may be attributed to the different ways in which variables were measured and to the sample population, which, in our study, included primarily low-income childcare centers and ethnically diverse preschoolers. It is also important to acknowledge that this field is relatively new and that as researchers continue to analyze which preschool environmental factors are associated with MVPA, evidence will build.
Limitations of this study include its cross-sectional design and the observation of physical activity on only one day, with an average of only about three hours per child. This study is also limited in the way that all studies relying on accelerometry are limited: currently there are no universally agreed upon cut-off points for physical activity levels among young children . Additional study is needed to determine the most appropriate cut-off points for this population. Bornstein, et al.  recommend that a conversion system be used to allow comparison of results across studies where varying cut points were used, and have developed prediction equations to allow for direct comparison between studies employing different physical activity level cut-off points . Further research should make use of this tool to compare data across studies. Finally, researchers were present and observing for the better part of the day. It is possible that this could have influenced child behavior, or more likely, child care center staff practices that may have influenced child physical activity levels.
Full-day centers provide at least 60 minutes/partial day center provide at least 30 minutes of outdoor play, offered throughout the day
Centers create space, even small areas, suitable for active play in their indoor environments
Centers include positive messages about physical activity in their classrooms and communal areas
Centers train teachers to verbally encourage safe physical activity, particularly indoors
These recommendations, some of which have also been suggested by other researchers , represent strategies that are generally inexpensive and easy to implement. Childcare accrediting agencies, developmental experts, and public health advocates must work together to institute changes to the childcare environment that promote physical activity without compromising the integrity of other curriculum foci.
The authors are grateful to the childcare center directors, staff and preschool children for participating in this research. This work was supported by a grant (ID# 64093) from the Robert Wood Johnson Foundation Active Living Research program and the Rudd Foundation.
- Popkin BM, Duffey K, Gordon-Larsen P. Environmental influences on food choice, physical activity and energy balance. Physiol Behav. 2005;86:603–13.View ArticleGoogle Scholar
- Sallis JF, Prochaska JJ, Taylor WC. A review of correlates of physical activity of children and adolescents. Med Sci Sports Exerc. 2000;32:963–75.View ArticleGoogle Scholar
- Davison K, Lawson C. Do attributes in the physical environment influence children’s physical activity? A review of the literature. Int J Behav Nutr Phys Act. 2006;3:19.View ArticleGoogle Scholar
- Tucker P. The physical activity levels of preschool-aged children: a systematic review. Early Child Res Q. 2008;23:547–58.View ArticleGoogle Scholar
- Ferreira I, van der Horst K, Wendel-Vos W, Kremers S, van Lenthe FJ, Brug J. Environmental correlates of physical activity in youth - a review and update. Obes Rev. 2007;8:129–54.View ArticleGoogle Scholar
- Department of Health and Aging: National Physical Activity Guidelines for Australians. Physical activity recommendations for 0–5 year olds. 2010, Canberra, Australia. http://www.health.gov.au/internet/main/publishing.nsf/content/health-pubhlth-strateg-phys-act-guidelines#npa05
- Canadian Society for Exercise Physiology. Canadian Physical Activity Guidelines, Canadian Sedentary Behaviour Guidelines. 2012.Google Scholar
- Chief Medical Officers of England, Department of Health Physical Activity Health Improvement and Protection. Start Active, Stay Active – A report on physical activity for health from the four home countries’ Chief Medical Officers. London, England; 2011Google Scholar
- Institute of Medicine. Early childhood obesity prevention policies. Washington, DC: National academies; 2011.Google Scholar
- National Association for Sport and Physical Education. Active start: a statement of physical activity guidelines for children birth to five years. 2nd ed. 2009.Google Scholar
- Data Resource Center for Child and Adolescent Health. Child and Adolescent Health Measurement Initiative: 2011–2012 National Survey of Children’s Health.[http://www.childhealthdata.org/browse/survey/results?q=2465&r=1]
- U.S. Department of Education, National Center for Education Statistics. National Household Education Surveys Program: Number of children under 6 years old and not yet enrolled in kindergarten, percentage in center-based programs, average weekly hours in nonparental care, and percentage in various types of primary care arrangements, by selected child and family characteristics: 2005 [http://nces.ed.gov/programs/digest/d07/tables/dt07_042.asp]
- Finn K, Johannsen N, Specker B. Factors associated with physical activity in preschool children. J Pediatr. 2002;140:81–5.View ArticleGoogle Scholar
- Boldemann C, Blennow M, Dal H, Martensson F, Raustorp A, Yuen K, et al. Impact of preschool environment upon children’s physical activity and sun exposure. Prev Me. 2006;42:301–8.View ArticleGoogle Scholar
- Pate RR, McIver K, Dowda M, Brown WH, Addy C. Directly observed physical activity levels in preschool children. J Sch Health. 2008;78:438–44.View ArticleGoogle Scholar
- Pate RR, Pfeiffer KA, Trost SG, Ziegler P, Dowda M. Physical activity among children attending preschools. Pediatrics. 2004;114:1258–63.View ArticleGoogle Scholar
- Bower JK, Hales DP, Tate DF, Rubin DA, Benjamin SE, Ward DS. The childcare environment and children’s physical activity. Am J Prev Med. 2008;34:23–9.View ArticleGoogle Scholar
- Dowda M, Brown WH, McIver KL, Pfeiffer KA, O’Neill JR, Addy CL, et al. Policies and characteristics of the preschool environment and physical activity of young children. Pediatrics. 2009;123:e261–6.View ArticleGoogle Scholar
- Henderson KE, Grode GM, Middleton AE, Kenney EL, Falbe J, Schwartz MB. Validity of a measure to assess the child-care nutrition and physical activity environment. J Am Diet Assoc. 2011;111:1306–13.View ArticleGoogle Scholar
- Freedson P, Pober D, Janz KF. Calibration of accelerometer output for children. Med Sci Sports Exerc. 2005;37 Suppl 11:523–30.View ArticleGoogle Scholar
- Brown WH, Pfeiffer KA, McIver KL, Dowda M, Almeida MJCA, Pate RR. Assessing preschool children’s physical activity: The observational system for recording physical activity in children-preschool version. Res Q Exerc Sport. 2006;77:167–76.Google Scholar
- Kelly LA, Reilly JJ, Fairweather SC, Barrie S, Grant S, Paton JY. Comparison of two accelerometers for assessment of physical activity in preschool children. Pediatr Exerc Sci. 2004;16:324–33.Google Scholar
- Pate RR, O’Neill JR, Mitchell J. Measurement of physical activity in preschool children. Med Sci Sports Exerc. 2010;42:508–12.View ArticleGoogle Scholar
- Edwardson CL, Gorely T. Epoch length and its effect on physical activity intensity. Med Sci Sports Exerc. 2009;42:928–34.View ArticleGoogle Scholar
- Vale S, Silva P, Santos R, Soares-Miranda L, Mota J. Compliance with physical activity guidelines in preschool children. J Sports Sci. 2010;28:603–8.View ArticleGoogle Scholar
- Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008;26:1–9.View ArticleGoogle Scholar
- Pate RR, Almeida MJ, McIver KL, Pfeiffer KA, Dowda M. Validation and calibration of an accelerometer in preschool children. Obesity. 2006;14:2000–6.View ArticleGoogle Scholar
- Puyau MR, Adolph AL, Vohra FA, Butte NF. Validation and calibration of physical activity monitors in children. Obes Res. 2002;10:150–7.View ArticleGoogle Scholar
- Sirard J, Trost SG, Pfeiffer KA, Dowda M, Pate R. Calibration and evaluation of an objective measure of physical activity in preschool children. J Phys Act Health. 2005;3:345–57.Google Scholar
- Centers for Disease Control and Prevention, Division of Nutrition Physical Activity and Obesity. Children’s BMI Tool for Schools[http://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/tool_for_schools.html]
- MeterPlus. [computer program]. Version 4. San Diego, CA: Santech Inc; 2009.Google Scholar
- IBM SPSS Statistics for Windows. Version 22.0. [computer program]. Armonk, NY: IBM Corp; 2013.Google Scholar
- U.S. Department of Health and Human Services. Physical activity guidelines for Americans: At a glance, fact sheet for professionals. [http://www.health.gov/paguidelines/factsheetprof.aspx]
- Rich C, Griffiths LJ, Dezateux C. Seasonal variation in accelerometer-determined sedentary behaviour and physical activity in children: a review. Int J Behav Nutr Phys Act. 2012;9:49.View ArticleGoogle Scholar
- Hesketh KR, McMinn AM, Ekelund U, Sharp SJ, Collings PJ, Harvey NC, et al. Objectively measured physical activity in four-year-old British children: a cross-sectional analysis of activity patterns segmented across the day. Int J Behav Nutr Phys Act. 2014;11:1.View ArticleGoogle Scholar
- O’Dwyer M, Fairclough SJ, Ridgers ND, Knowles ZR, Foweather L, Stratton G. Patterns of objectively measured moderate-to-vigorous physical activity in preschool children. J Phys Act Health. 2014;11:1233–8.View ArticleGoogle Scholar
- Cardon G, Van Cauwenberghe E, Labarque V, Haerens L, De Bourdeaudhuij I. The contribution of preschool playground factors in explaining children’s physical activity during recess. Int J Behav Nutr Phys Act. 2008;5:11.View ArticleGoogle Scholar
- Hinkley T, Crawford D, Salmon J, Okely AD, Hesketh K. Preschool children and physical activity - A review of correlates. Am J PrevMed. 2008;34:435–41.View ArticleGoogle Scholar
- Timmons BW, Naylor PJ, Pfeiffer KA. Physical activity for preschool children - How much and how? Appl Physiol Nutr Metab. 2007;32 Suppl 2:122–34.View ArticleGoogle Scholar
- Baranowski T, Thompson WO, Durant RH, Baranowski J, Puhl J. Observations on physical activity in physical locations-age, gender, ethnciicty and month effects. Res Q Exerc Sport. 1993;64:127–33.View ArticleGoogle Scholar
- Burdette HL, Whitaker RC, Daniels SR. Parental report of outdoor playtime as a measure of physical activity in preschool-aged children. Arch Pediatr Adolesc Med. 2004;158:353–7.View ArticleGoogle Scholar
- New York City Department of Health and Mental Hygiene, Board of Health. Notice of Adoption of Amendments to Article 47 of the New York City Health Code. New York City, 2006. http://www.nyc.gov/html/doh/downloads/pdf/public/notice-adoption-hc-art81-08.pdf
- Benjamin SE, Cradock A, Walker EM, Slining M, Gillman MW. Obesity prevention in childcare: a review of U.S. state regulations. BMC Public Health. 2008;8:188.View ArticleGoogle Scholar
- Alhassan S, Sirard JR, Robinson TN. The effects of increasing outdoor play time on physical activity in Latino preschool children. Int J Pediatr Obes. 2007;2:153–8.View ArticleGoogle Scholar
- Reilly JJ. Low levels of objectively measured physical activity in preschoolers in childcare. Med Sci Sports Exerc. 2010;42:502–7.View ArticleGoogle Scholar
- Copeland KA, Sherman SN, Kendeigh CA, Kalkwarf HJ, Saelens BE. Societal values and policies may curtail preschool children’s physical activity in childcare centers. Pediatrics. 2012;129:265–74.View ArticleGoogle Scholar
- Ruiz RM, Tracy D, Sommer EC, Barkin SL. A novel approach to characterize physical activity patterns in preschool-aged children. Obesity. 2013;21:2917–203.View ArticleGoogle Scholar
- Copeland KA, Sherman SN, Kendeigh CA, Saelens BE, Kalkwarf HJ. Flip flops, dress clothes, and no coat: clothing barriers to children’s physical activity in child-care centers identified from a qualitative study. Int J Behav Nutr Phys Act. 2009;6:74.View ArticleGoogle Scholar
- Copeland KA, Sherman SN, Khoury JC, Foster KE, Saelens BE, Kalkwarf HJ. Wide variability in physical activity environments and weather-related outdoor play policies in childcare centers within a single county of Ohio. Arch Pediatr Adolesc Med. 2011;165:435–42.View ArticleGoogle Scholar
- Brown WH, Googe HS, McIver KL, Rathel JM. Effects of teacher-encouraged physical activity on preschool playgrounds. J Early Interv. 2009;31:126–45.View ArticleGoogle Scholar
- Baranowski T, Perry CL, Parcel GS. How individuals, environments, and health behavior interact: Social Cognitive Theory. In: Glanz K, Rimer BK, Lewis FM, editors. Health Behavior and Health Education. 3rd ed. San Francisco, CA: Jossey-Bass; 2002.Google Scholar
- Ward DS, Vaughn A, McWilliams C, Hales D. Interventions for increasing physical activity at childcare. Med Sci Sports Exerc. 2010;42:526–34.View ArticleGoogle Scholar
- Nielsen G, Bugge A, Hermansen B, Svensson J, Andersen LB. School playground facilities as a determinant of children’s daily activity: a cross-sectional study of Danish primary school children. J Phys Act Health. 2012;9:104–14.Google Scholar
- Trost SG, Ward DS, Senso M. Effects of childcare policy and environment on physical activity. Med Sci Sports Exerc. 2010;42:520–5.View ArticleGoogle Scholar
- Gubbels JS, Van Kann DH, Jansen MW. Play equipment, physical activity opportunities, and children's activity levels at childcare. J Environmental and Public Health 2012, 1–8.Google Scholar
- Nicaise V, Kahan D, Reuben K, Sallis JF. Evaluation of a redesigned outdoor space on preschool children’s physical activity during recess. Pediatr Exerc Sci. 2012;24:507–18.Google Scholar
- Beets MW, Bornstein D, Dowda M, Pate RR. Compliance with national guidelines for physical activity in U.S. preschoolers: measurement and interpretation. Pediatrics. 2011;127:658–64.View ArticleGoogle Scholar
- Bornstein DB, Beets MW, Byun W, McIver K. Accelerometer-derived physical activity levels of preschoolers: a meta-analysis. J Sci Med Sport. 2011;14:504–11.View ArticleGoogle Scholar
- Bornstein DB, Beets MW, Byun W, Welk G, Bottai M, Dowda M, et al. Equating accelerometer estimates of moderate-to-vigorous physical activity: in search of the Rosetta Stone. J Sci Med Sport. 2011;14:404–10.View ArticleGoogle Scholar
- McWilliams C, Ball SC, Benjamin SE, Hales D, Vaughn A, Ward DS. Best-practice guidelines for physical activity at childcare. Pediatrics. 2009;124:1650–9.View ArticleGoogle Scholar
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