This study aimed to compare the levels of objectively-measured sedentary behavior in children attending Montessori preschools with those attending traditional preschools.
The participants in this study were preschool children aged 4 years old who were enrolled in Montessori and traditional preschools. The preschool children wore ActiGraph accelerometers. Accelerometers were initialized using 15-second intervals and sedentary behavior was defined as <200 counts/15-second. The accelerometry data were summarized into the average minutes per hour spent in sedentary behavior during the in-school, the after-school, and the total-day period. Mixed linear regression models were used to determine differences in the average time spent in sedentary behavior between children attending traditional and Montessori preschools, after adjusting for selected potential correlates of preschoolers’ sedentary behavior.
Children attending Montessori preschools spent less time in sedentary behavior than those attending traditional preschools during the in-school (44.4. min/hr vs. 47.1 min/hr, P = 0.03), after-school (42.8. min/hr vs. 44.7 min/hr, P = 0.04), and total-day (43.7 min/hr vs. 45.5 min/hr, P = 0. 009) periods. School type (Montessori or traditional), preschool setting (private or public), socio-demographic factors (age, gender, and socioeconomic status) were found to be significant predictors of preschoolers’ sedentary behavior.
Levels of objectively-measured sedentary behavior were significantly lower among children attending Montessori preschools compared to children attending traditional preschools. Future research should examine the specific characteristics of Montessori preschools that predict the lower levels of sedentary behavior among children attending these preschools compared to children attending traditional preschools.
The prevalence of childhood obesity in the U.S. has reached epidemic proportions in recent decades [1, 2]. Importantly, this trend also has been observed among preschool children [3, 4]. There is growing recognition that time spent in sedentary behavior (i.e., sitting, watching TV, and playing video games) is associated with an increased risk of childhood obesity [5–8]. However, levels of sedentary behavior have not been described well, especially in the preschool population, and the surveillance of sedentary behavior in preschool children is needed.
Approximately 5.1 million children are enrolled in preschools or child care centers in the U.S. , and the majority spend more than 6 hours per day in these settings . It is important, therefore, to monitor levels of sedentary behavior in the preschool setting. However, quantifying levels of sedentary behavior in young children is challenging due to their intermittent movement patterns and inability to recall past behavior .
Our research team has described preschoolers’ sedentary behavior levels during preschool hours, using accelerometry and a direct observation system [12, 13]. The majority of their time was spent in sedentary behavior during preschool hours (42.1 min/hr or >80% of the observations). It was also observed that preschooler’s sedentary behavior levels varied by school policies and characteristics [14, 15]. However, those studies only included samples of children attending traditional preschools, and to the best of our knowledge no study has described the levels of objectively-measured sedentary behavior in children attending Montessori preschools, which have become popular in recent years [16, 17].
The popularity of Montessori preschools likely reflects their unique approach in terms of children’s education. At least two-thirds of the preschool hours are devoted to opportunities for self-chosen/directed activities,  and children attending Montessori preschools are allowed to freely move about during the course of the day . This likely provides more opportunities for ambulation compared to traditional preschools,  and may reduce the time spent in sedentary behavior. Therefore, we suspected that levels of sedentary behavior among children attending Montessori preschools might differ from those of children attending traditional preschools. The purpose of this study was to compare the levels of objectively-measured sedentary behavior in children attending Montessori preschools with those of children attending traditional preschools.
A cross-sectional study design was used. Preschool children were recruited from traditional and Montessori preschools in metropolitan Columbia, South Carolina. Trained data collectors recorded arrival times and departure times from the schools every day in order to distinguish in-school sedentary behavior from after-school sedentary behavior. Each child’s daily sedentary behavior data were summarized by time of day: in-school, after-school, and total-day.
The participants were preschool children aged 4 years old who were enrolled in 8 traditional and 9 Montessori preschools. All traditional and Montessori preschools were identified according to following criteria: 1) the school is licensed as a child care center by the Department of Social Services, 2) the curriculum meets state standards, and 3) the teachers have degrees in early childhood education. Montessori preschools had to meet following additional criteria to be invited in the current study: 1) the school is accredited or a member of national Montessori associations and 2) the teachers have a certification of Montessori teaching. The number of participants per preschool ranged from 21 to 33 in traditional preschools, and from 19 to 62 in Montessori preschools. Children with missing data for study variables were removed, and the following data were available for analyses: in-school sedentary behavior (N=167 in traditional and N=164 in Montessori), after-school sedentary behavior (N=137 in traditional and N=135 in Montessori), and total-day sedentary behavior (N=137 in traditional and N=136 in Montessori). Written informed consent was obtained from children’s parents or guardians prior to collection of data. The study was approved by the Institutional Review Board at the University of South Carolina.
The preschool children wore ActiGraph accelerometers (ActiGraph model GT1M, Shalimar, FL). The accelerometers were initialized to collect data in 15-second intervals (epochs) to account for the spontaneous activity patterns of preschool children. The accelerometers were attached to the child’s right hip (anterior to the iliac crest) using an elastic belt. Each child was instructed to wear the accelerometer for five consecutive school days (Monday – Friday), and their parents received information about how to wear and remove the accelerometer during after-school hours. Trained staff checked each child’s accelerometer at the beginning of each school day. If a child was not wearing the accelerometer upon arrival at preschool, a temporary monitor was provided to collect in-school sedentary behavior.
Accelerometers collect and store count data according to movement frequency and intensity. Cutpoints were applied to the count data to determine the time spent in sedentary behavior. In the present study, a cutpoint of < 200 counts/15 seconds was used to define sedentary behavior. This cutpoint was developed specifically for preschool children (3 to 5 years) . Using each child’s wear time as the divisor, cumulative time spent in sedentary behavior was averaged on an hourly basis (min/hr). This was to take into account differences in the monitoring times of children on a given day, and therefore allowed for comparisons to be made across preschools. Sixty-minutes of consecutive zeros was considered as non-wear time [22–24]. Due to variations in actual in-school hours among preschools, children have worn the accelerometer for at least 50% of school hours to be included in the in-school and total-day analysis. For the after-school and total-day analysis, children had to wear the accelerometer for at least 4 hours during the after-school period. Days that children were absent from preschool and days on which total wear time was ≥18 hours (i.e., monitor malfunction) were excluded from the analysis because those days do not represent typical days. It has been suggested that three or more days of accelerometry monitoring provides reliable measures of accelerometry-derived sedentary behavior in preschool children (intraclass correlations ≥ 0.80),  thus children who had at least 3 valid days of in-school and total day sedentary behavior were included in the present study.
Demographic and anthropometric characteristics
Children’s age, gender, race/ethnicity, and socioeconomic status (SES) were reported by a parent or guardian using a parent survey. Parent education level was measured as a surrogate indicator of socioeconomic status. Child’s participation in after-school sports program (i.e., number of times played per month) also was reported by a parent or guardian. Child’s weight was measured to the nearest 0.1 kg using an electronic scale, and height was measured to the nearest 1 mm using a stadiometer, after children removed their shoes and outer clothing. Body Mass Index (BMI) was calculated (kg/m2) from the averages of height and weight.
Descriptive statistics (mean and SD; frequency and percent) for the participants were calculated according to activity monitored during the different times of the day. Independent sample t-tests and Chi-square tests were used to determine differences in demographic and anthropometric variables between traditional and Montessori preschools. The differences in time spent in sedentary behavior between children attending traditional preschools and those attending Montessori preschools were determined using mixed linear regression models that included age, gender, race, parent education level, BMI, accelerometer wear time (hours/day), and preschool funding type (private or public) as covariates. For after-school and total-day sedentary behavior, after-school sports participation was additionally included as a covariate. Preschool was included as a random effect in the mixed models to take into account correlations among children from the same preschool. Mixed linear regression models also were used to determine if the covariates influenced time spent in sedentary behavior. The following covariates were included as independent variables: school type (Montessori or traditional), age, gender, race, BMI, parent education level, preschool funding type, and child’s participation in after-school sports program. The pseudo-R2 was calculated to determine the fraction of variance explained by the model . All data were analyzed using SAS version 9.2 (SAS Institute, Cary, NC, USA).
Children attending Montessori preschools were predominantly white and more likely to have parents with higher education levels, compared to children attending traditional preschools (Table 1). Children attending Montessori preschools participated more frequently in organized sports than those attending traditional preschools (Table 1). BMI was slightly lower among the children attending Montessori preschools, compared to those attending traditional preschools. The average number of days and hours per day that the children wore accelerometers during the in-school, after-school, and total-day period were similar between children attending traditional preschool and those attending Montessori preschools (Table 1).
Sedentary behavior between Montessori and traditional preschools
Overall, children attending Montessori preschools spent less time in sedentary behavior than those attending traditional preschools during the in-school period, after adjusting for age, gender, race, BMI, parent education level, preschool setting, and preschools (Table 2). Also, children attending Montessori preschools spent less time in sedentary behavior than those attending traditional preschools during the after-school and the total-day period (Table 2). The lower time spent in sedentary behavior in Montessori preschools also remained after further adjusting for child’s participation in after-school sports program (Table 2). Among all subgroups of children (gender, race/ethnicity, parental education level or preschool funding type) those attending Montessori preschools engaged in less sedentary behavior than those attending traditional preschools.
Multivariate analyses for the prediction of sedentary behavior
School type and gender were found to be significant predictors of in-school, after-school, and total-day sedentary behavior (Table 3). Age and race were significant predictors of in-school sedentary behavior (Table 3). Parent education level was a significant predictor of total-day sedentary behavior, and preschool funding type was a significant predictor of after-school sedentary behavior. Total variances in sedentary behavior explained by the mixed model were 48%, 22%, and 34% for in-school, after-school, and total-day, respectively (Table 3).
This is the first study to describe and compare levels of objectively-measured sedentary behavior between children attending Montessori and traditional preschools. We found that the average time spent in sedentary behavior was significantly lower among children attending Montessori preschools. Not only did these children spend less time in sedentary behavior while in school, they also spent less time in sedentary behavior while out of school. Our findings are of particular importance because they suggest that the Montessori education system needs to be studied carefully to determine the specific factors that facilitate lower time spent in sedentary behavior. In addition to the finding that school type was a significant predictor of sedentary behavior, we also observed that socio-demographic factors (age, gender, and parent education level), and preschool funding type predicted time spent in sedentary behavior in multivariate analysis. These findings suggest that socio-demographic characteristics and school-level characteristics (e.g., policies and environments) have a significant influence on preschoolers’ sedentary behavior. Both characteristics should be considered when developing interventions that aim to reduce the time preschoolers’ spend in sedentary behavior.
There is evidence that preschool policies and practices can influence preschoolers’ sedentary behavior. Previous studies found that children attending preschools with policies regarding sedentary opportunities (e.g., limiting time for prolonged sitting and TV/DVD viewing) spent significantly less time in sedentary behavior compared to those attending preschools without such policies [14, 27]. The Montessori education system is based on a fundamental approach that encourages children to teach themselves, with teachers serving as assistants in the classroom . Unlike traditional preschools, children in Montessori classrooms are not required to sit and listen to teacher-directed instructions, but are encouraged to choose and participate in individual or group activities . This approach likely explains a proportion of variance in preschoolers’ sedentary behavior. Traditional preschools could consider if it is feasible to include aspects of this policy to reduce time spent in sedentary behavior.
Research also suggests that preschoolers’ sedentary behavior levels are affected by the physical and social environment of the preschool. Children attending preschools with environments that discourage sedentary behavior (e.g., fewer TVs and computers or greater classroom size) have been shown to spend less time in sedentary behavior while in school [15, 27]. The Montessori preschool environments are based on the theory that “the best learning is active” and that children learn within “prepared environments” in which they can freely perform self-directed activities . In general, the Montessori school classrooms are large and open-spaced to facilitate children’s movement . As an example, Montessori preschool classrooms typically are equipped with sets of materials for light intensity physical activities (e.g., materials for sweeping, dusting, cleaning, and gardening), and children are regularly engaged in physical activities using those materials in school [28, 29]. This could explain our observed difference in sedentary behavior during the in-school period.
An interesting observation in this study was that children attending Montessori preschools also spent less time in sedentary behavior out of school, compared to children attending traditional preschools. This out-of-school sedentary behavior difference persisted even after adjusting for child’s socioeconomic status and participation in after-school sports program. This finding is of particular interest because it has been hypothesized that children who are more sedentary (or active) during one part of the day would compensate at other times of the day, resulting in daily total activity levels that are constant . Under the compensation hypothesis, environmental influences on children’s sedentary behavior is limited, and biological control of sedentary behavior is predominant . However, our data do not support this hypothesis, but rather suggest that school-based interventions should be developed and implemented to reduce daily sedentary behavior in preschool children.
It is also possible that the difference in after-school school sedentary behavior could be due to a carry-over effect, whereby the Montessori school policies and environments also influence children’s sedentary behavior out of school. In general, Montessori preschoolers are encouraged to perform various types of light physical activity during their attendance at school . Such activities include serving snacks, washing the floor, dusting tables, watering plants, and going outside to collect leaves [29, 32]. Therefore, it is possible that children continue to perform these types of light physical activities outside of school. In addition, parents who send their children to Montessori schools are encouraged to limit the use of strollers and other carriers, and the children of parents who follow this encouragement may spend less time in sedentary behavior .
Alternatively, although we adjusted for numerous potential correlates of sedentary behavior in preschool children (e.g., child’s socio-demographic factors, BMI, and sports participation), [22, 33, 34] the observed difference in sedentary behavior out of school could be due to factors such as neighborhood environments (e.g., hills in neighborhood and crime/safety), [35, 36] home environments and policy (e.g., number of TVs/computers, TV/computer in child’s bedroom, and parent rules on screen time), [37–40] and parental behaviors (e.g., parent screen time) [33, 41]. Future research is required to explore whether Montessori preschool policies continue to reduce sedentary behavior after the child has left the school environment.
To our knowledge, only one previous intervention study has been designed to reduce sedentary behavior in preschool children . However, that intervention was designed to reduce TV viewing at home, and did not intervene to reduce overall sedentary behavior in preschool children. In general, opportunities to move freely in the traditional preschool classroom are limited. This is likely due to early childhood educators being encouraged to employ formal curricula, which focus primarily on cognitive and language-oriented academic achievement [43, 44]. However, this approach may not be optimal for raising academic achievement [45–47]. Research suggests that children attending Montessori schools have higher test scores in math and science compared to children attending traditional preschools [48, 49]. Considering these data and our observations, it appears that the Montessori education system can be a strategy to reduce sedentary behavior, while also allowing for high academic achievement.
The current study had strengths and limitations that should be acknowledged. A major strength of this study was the use of an objective measure of sedentary behavior. Due to the poor recall ability and sporadic activity patterns of young children, assessing the time spent in sedentary behavior in preschoolers is difficult. We quantified, using accelerometers, the levels of sedentary behavior in preschool children across the in-school, after-school, and total-day period. In addition, our samples of preschool children were drawn from both private and public preschools. However, the generalizability of our findings may be limited because participants of this study were volunteers from preschools, and all participants were recruited from one geographic location in the southeast U.S.
Results from this study showed that levels of sedentary behavior were significantly lower among children attending Montessori preschools compared to children attending traditional preschools. The lower levels of sedentary behavior were observed both in and out of school. These findings imply that the policies and environments of the Montessori preschool have the potential to influence the time preschoolers spend in sedentary behavior. Future research should be conducted to identify the specific policies and environmental factors of the Montessori preschool that discourage preschoolers’ sedentary behavior.
Body mass index.
Ogden CL, Carroll MD: Prevalence of Obesity Among Children and Adolescents: United States, Trends 1963–1965 Through 2007–2008. 2010, National Center for Health Statistics
Ogden CL, Carroll MD, Kit BK, Flegal KM: Prevalence of obesity and trends in body mass index among US children and adolescents, 1999–2010. JAMA. 2012, 307: 483-490. 10.1001/jama.2012.40.
Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM: Prevalence of overweight and obesity in the United States, 1999–2004. JAMA. 2006, 295: 1549-1555. 10.1001/jama.295.13.1549.
Ogden CL, Flegal KM, Carroll MD, Johnson CL: Prevalence and trends in overweight among US children and adolescents, 1999–2000. JAMA. 2002, 288: 1728-1732. 10.1001/jama.288.14.1728.
Jackson DM, Djafarian K, Stewart J, Speakman JR: Increased television viewing is associated with elevated body fatness but not with lower total energy expenditure in children. Am J Clin Nutr. 2009, 89: 1031-1036. 10.3945/ajcn.2008.26746.
Janz KF, Burns TL, Levy SM: Tracking of activity and sedentary behaviors in childhood: the Iowa Bone Development Study. Am J Prev Med. 2005, 29: 171-178. 10.1016/j.amepre.2005.06.001.
Pratt C, Webber LS, Baggett CD, Ward D, Pate RR, Murray D, Lohman T, Lytle L, Elder JP: Sedentary activity and body composition of middle school girls: the trial of activity for adolescent girls. Res Q Exerc Sport. 2008, 79: 458-467.
Steele RM, van Sluijs EM, Cassidy A, Griffin SJ, Ekelund U: Targeting sedentary time or moderate- and vigorous-intensity activity: independent relations with adiposity in a population-based sample of 10-y-old British children. Am J Clin Nutr. 2009, 90: 1185-1192. 10.3945/ajcn.2009.28153.
Davis WD, Bauman K: School Enrollment in the United States: 2008. Population Characteristics. 2011
National Center for Education Statistics: Digest of education statistics, tables and figures 2001. 2001, Washington DC
Bailey RC, Olson J, Pepper SL, Porszasz J, Barstow TJ, Cooper DM: The level and tempo of children’s physical activities: an observational study. Med Sci Sports Exerc. 1995, 27: 1033-1041. 10.1249/00005768-199507000-00012.
Pate RR, Pfeiffer KA, Trost SG, Ziegler P, Dowda M: Physical activity among children attending preschools. Pediatrics. 2004, 114: 1258-1263. 10.1542/peds.2003-1088-L.
Pate RR, McIver K, Dowda M, Brown WH, Addy C: Directly observed physical activity levels in preschool children. J Sch Health. 2008, 78: 438-444. 10.1111/j.1746-1561.2008.00327.x.
Dowda M, Pate RR, Trost SG, Almeida MJ, Sirard JR: Influences of preschool policies and practices on children’s physical activity. J Community Health. 2004, 29: 183-196.
Dowda M, Brown WH, McIver KL, Pfeiffer KA, O’Neill JR, Addy CL, Pate RR: Policies and characteristics of the preschool environment and physical activity of young children. Pediatrics. 2009, 123: e261-e266. 10.1542/peds.2008-2498.
American Montessori Society: American Montessori society and the Montessori movement. 2011
Association Montessori Internationale: Montessori movement. 2012
Ramusch N: Montessori in American: A history. 1992, Portsmouth, NH: Heinemann
Montessori M: Discovery of the child. 1972, Ballantine Books
Montessori M: Dr. Montessori’s own handbook. 1914, New York: Stokes
Pate RR, Almeida MJ, McIver KL, Pfeiffer KA, Dowda M: Validation and calibration of an accelerometer in preschool children. Obesity (Silver Spring). 2006, 14: 2000-2006. 10.1038/oby.2006.234.
Byun W, Dowda M, Pate RR: Correlates of objectively measured sedentary behavior in US preschool children. Pediatrics. 2011, 128: 937-945. 10.1542/peds.2011-0748.
Ekelund U, Luan J, Sherar LB, Esliger DW, Griew P, Cooper A: Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA. 2012, 307: 704-712. 10.1001/jama.2012.156.
Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, Troiano RP: Amount of time spent in sedentary behaviors in the united states, 2003–2004. Am J Epidemiol. 2008, 167: 875-881. 10.1093/aje/kwm390.
Byun W, Blair SN, Beets MW, Dowda M, Pate RR: How many days of accelerometer monitoring predict sedentary behavior in preschoolers? [abstract]. Med Sci Sports Exerc. 2012, 44: S480.
Vonesh EF, Chinchilli VM, Pu K: Goodness-of-fit in generalized nonlinear mixed-effects models. Biometrics. 1996, 52: 572-587. 10.2307/2532896.
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: 23-29. 10.1016/j.amepre.2007.09.022.
Montessori M: The montessori mehtod. 1988, Random House
Lillard AS: The science behind the genius. 2008, Oxford University Press
Fremeaux AE, Mallam KM, Metcalf BS, Hosking J, Voss LD, Wilkin TJ: The impact of school-time activity on total physical activity: the activitystat hypothesis (EarlyBird 46). Int J Obes (Lond). 2011, 35: 1277-1283. 10.1038/ijo.2011.52.
Wilkin TJ, Mallam KM, Metcalf BS, Jeffery AN, Voss LD: Variation in physical activity lies with the child, not his environment: evidence for an ‘activitystat’ in young children (EarlyBird 16). Int J Obes (Lond). 2006, 30: 1050-1055. 10.1038/sj.ijo.0803331.
Montessori M: The absorbent mind. 1967, New York: Henry Holt
Kourlaba G, Kondaki K, Liarigkovinos T, Manios Y: Factors associated with television viewing time in toddlers and preschoolers in Greece: the GENESIS study. J Public Health (Oxf). 2009, 31: 222-230. 10.1093/pubmed/fdp011.
Lee SJ, Bartolic S, Vandewater EA: Predicting children’s media use in the USA: differences in cross-sectional and longitudinal analysis. Br J Dev Psychol. 2009, 27: 123-143. 10.1348/026151008X401336.
Certain LK, Kahn RS: Prevalence, correlates, and trajectory of television viewing among infants and toddlers. Pediatrics. 2002, 109: 634-642. 10.1542/peds.109.4.634.
Norman GJ, Schmid BA, Sallis JF, Calfas KJ, Patrick K: Psychosocial and environmental correlates of adolescent sedentary behaviors. Pediatrics. 2005, 116: 908-916. 10.1542/peds.2004-1814.
Hoyos CI, Jago R: Sociodemographic and home environment predictors of screen viewing among Spanish school children. J Public Health (Oxf). 2010
Jago R, Page A, Froberg K, Sardinha LB, Klasson-Heggebo L, Andersen LB: Screen-viewing and the home TV environment: the European Youth Heart Study. Prev Med. 2008, 47: 525-529. 10.1016/j.ypmed.2008.07.016.
Roemmich JN, Epstein LH, Raja S, Yin L: The neighborhood and home environments: disparate relationships with physical activity and sedentary behaviors in youth. Ann Behav Med. 2007, 33: 29-38. 10.1207/s15324796abm3301_4.
van Sluijs EM, Page A, Ommundsen Y, Griffin SJ: Behavioural and social correlates of sedentary time in young people. Br J Sports Med. 2010, 44: 747-755. 10.1136/bjsm.2008.049783.
Songul YS, Tugrul B, Nacar N, Tuncer M, Yurdakok K: Factors that affect television viewing time in preschool and primary schoolchildren. Pediatr Int. 2002, 44: 622-627. 10.1046/j.1442-200X.2002.01648.x.
Dennison BA, Erb TA, Jenkins PL: Television viewing and television in bedroom associated with overweight risk among low-income preschool children. Pediatrics. 2002, 109: 1028-1035. 10.1542/peds.109.6.1028.
Farran DC: Another decade of intervention for children who are low income or disabled: What do we know now?. Handbook of early childhood intervention. Edited by: Shonkoff JP, Meisels SJ. 2000, New York: Cambridge University Press
Gray SW, Ramsey BK, Klaus RA: From 3 to 20: The early training project. 1982, Baltimore: University Press
Davis CL, Tomporowski PD, McDowell JE, Austin BP, Miller PH, Yanasak NE, Allison JD, Naglieri JA: Exercise improves executive function and achievement and alters brain activation in overweight children: a randomized, controlled trial. Health Psychol. 2011, 30: 91-98.
Donnelly JE, Lambourne K: Classroom-based physical activity, cognition, and academic achievement. Prev Med. 2011, 52 (Suppl 1): S36-42.
Hillman CH, Kamijo K, Scudder M: A review of chronic and acute physical activity participation on neuroelectric measures of brain health and cognition during childhood. Prev Med. 2011, 52 (Suppl 1): S21-28.
Miller LB, Bizzell RP: Long-term effects of four preschool programs: ninth- and tenth-grade results. Child Dev. 1984, 55: 1570-1587. 10.2307/1130027.
Miller LB, Dyer JL: Four preschool programs: Their dimensions and effects. Monogr Soc Res Child Dev. 1975, 55: 1570-1587.
This study was supported by the National Institute of Health (Grant 5R01HD055451). We thank all participants, parents, and preschools that participated in this investigation and Drs. Jihong Liu and Michael W. Beets for editorial assistance in the preparation of the manuscript.
The authors declare no competing interests.
WB contributed to the concept and design, drafting, revision, interpretation of the data, and supervision. SNB and RRP contributed to the study hypotheses, refining the data analyses, interpreting results, drafting the manuscript, and revising it through multiple drafts. All authors have read and approved submission of the manuscript.
About this article
Cite this article
Byun, W., Blair, S.N. & Pate, R.R. Objectively measured sedentary behavior in preschool children: comparison between Montessori and traditional preschools. Int J Behav Nutr Phys Act 10, 2 (2013). https://doi.org/10.1186/1479-5868-10-2