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Article

Objectively Assessed Physical Activity of Preschool-Aged Children from Urban Areas

1
Institute of Physical Culture Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
2
Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(4), 1375; https://doi.org/10.3390/ijerph17041375
Submission received: 14 January 2020 / Revised: 8 February 2020 / Accepted: 18 February 2020 / Published: 20 February 2020

Abstract

:
Little is known about physical activity (PA) of preschool-age children in Poland through the course of the day. PA monitoring using an accelerometer increases the reliability of measuring daily PA levels and offers a reasonable compromise between accuracy and feasibility of measurement. The aim of the study was to determine the level of physical activity of preschool children (aged 5–6) on the basis of moderate to vigorous physical activity (MVPA) index and the number of steps. The physical activity of preschool children was assessed using accelerometery (ActiGraph) in 371 children for up to seven days. The normality of distribution was assessed using the Shapiro–Wilk test. The Mann-Whitney U-test and Kruskal-Wallis test were used to assess the significance of differences. The study group children had an average age of 5.4 years (± 0.6). Boys and girls showed a different level of MVPA index. The results significantly improve the current knowledge of PA in Europe. Promoting active lifestyles in children should be one of the health priorities in developed countries.

1. Introduction

Approximately 1.02 million Polish children aged 3–6 years attend kindergartens, and this number has increased significantly over the last decade (by about 25%) [1]. On average, children spend 35 h a week in kindergartens or day-care centers [1]. As the number of children in kindergartens increases, it is likely that their level of physical activity (PA) decreases, which affects their energy balance and exposes them to the risk of becoming overweight. Preschool-age children are commonly believed to be physically active [2].
Regular PA of appropriate intensity provides many benefits to the health of children. Higher PA levels are associated with better body weight composition, bone condition, mental health and school performance [3,4,5,6]. Moreover, in early childhood PA, not only serves to develop and maintain normal healthy habits [7], but also plays an important role in the development of cognitive functioning, socialization and emotional well-being [8].
A decrease in active transport to school/kindergarten (bicycle, skateboard, rollerblades, etc.) causes PA deficits in children and adolescents [9,10], as well as an increase in the time spent in front of digital device screens [11,12].
Currently, public health guidelines [13] on PA place special emphasis on the population of children (6–11 years old) and adolescents (12–19 years old). These guidelines usually address the frequency, time and intensity of PA. Therefore, accelerometers are gaining increasing interest and popularity in studies as an objective tool for measuring daily PA.
PA monitoring using an accelerometer provides a reasonable compromise between accuracy and feasibility of measurement [14]. In addition, it increases the reliability of the measurement of the daily PA level [15].
The World Health Organization (WHO) and public health authorities around the world recommend that children aged 5–17 years take at least 60 min of Moderate to Vigorous Physical Activity (MVPA) every day in order to gain optimal health benefits [13]. Regarding the number of steps, various governmental organizations around the world follow the 12,000 steps per day recommendation (for children) as a benchmark for the minimum level of PA. This guideline for the number of steps is endorsed by the WHO, National Heart Association of Australia, US Centres for Disease Control and Prevention and American Heart Association to improve overall health [16,17]. Although there is ample evidence that PA provides significant health benefits to young people, the activity of most children and adolescents in developed countries does not meet the PA guidelines [18].
Increasing the PA levels in children should result in a reduction in sedentary time, forming the habit of being active and thereby increasing the likelihood that they will be physically active and fit during the rest of their childhood, adolescence, and adulthood [19].
Pre-schoolers should accumulate at least 60 min of structured PA each day [20]; however, O’Dwyer et al. [21] suggest that school represented an environment that promoted a sedentary lifestyle. In this regard, Barbosa et al. [22] showed that children attending preschool spend most of the day in sedentary behavior.
The related literature shows that the level of physical activity can vary significantly in childcare facilities. This difference may be due to differences in policies, traditions, programs of study, use of teachers’ time and qualifications; but it also may be due to differences in the physical environment in childcare facilities [23,24].
Preschool children are of particular concern as they are in a critical period of growth and development. Therefore, understanding the association between physical activity and body mass index (BMI) in this group, it is important to inform about future strategies for the prevention of obesity among others.
This is the first study carried out on the physical activity of preschool-age children in Poland observed throughout the day on a large group of respondents.
The aim of the study was to determine the level of physical activity of preschool children (aged 5–6 years) on the basis of the MVPA index and the number of steps. In addition, it assessed whether preschool children were sufficiently physically active, in accordance with the WHO guideline (a minimum of 60 min per day of MVPA and/or 12,000 steps per day).
Based on previous studies [18] we hypothesize that most of the subjects do not meet WHO physical activity recommendations. We also assume that gender and BMI will significantly differentiate the physical activity level of preschool children.

2. Materials and Methods

The study was approved by the Bioethics Committee of the University of Rzeszów (no. 2017/01/05). Before the study was initiated, written consent for participation was obtained from the children’s parents. The anthropometric measurements were carried out in kindergartens, in a separate room. All the measurements were taken between 8:00 a.m. and 10:00 a.m. With the help of tutors/teachers, all participants received comprehensive information about the study.

2.1. Participants

The study covered a total of 371 children aged 5–6 years, attending public kindergartens in Rzeszów (Rzeszów is a city in Southeastern Poland with a population of approximately 200,000), born in the years 2012–2013 (n = 371).
We recruited a representative group of children in their preschool year (n = 371) by recruiting from selected postal sectors in the Rzeszów area.
The study was conducted in the 2017/18 school year. An invitation to participate in the study was sent to 462 parents of children attending public kindergartens. Out of this number, 452 parents agreed to the participation of their children in the study.
Of these, 81 were excluded from the study for the following reasons: removal of the accelerometer at any time during the study period; the device showing a mechanical error and/or operator error (incorrect epoch length, incorrect anthropometry or incorrect participant identification) (n = 66); and refusal to participate (n = 15). Finally, 371 children were included in the analysis.

2.2. Anthropometric Measurements

Body height was measured with an accuracy of 0.1 cm using a Seca 213 portable stadiometer. The measurement was taken in a vertical position, barefoot. Bodyweight was assessed with an accuracy of 0.1 kg using a body composition analyzer (BC-360, Tanita). The body mass index (BMI) was calculated as body weight (kg)/height (m) squared. Based on the BMI values, the BMI percentiles were calculated by reference to the Polish centile grids [25]. Based on the BMI percentile values, a participant’s body mass categories were determined as follows: underweight (<5th percentile), healthy body mass (between 5th and 85th percentile), overweight (BMI ≥85th percentile and < 95th percentile), or obese (≥95th percentile) [26]. All the measurements were taken on fasting status, early in the morning, before the accelerometer was set up, according to the manufacturer’s guidelines.
Anthropometric measurements were made in kindergartens in separate rooms by experienced employees of Rzeszów University. The children were without shoes and in light clothing. The data were collected in Rzeszów University’s database.

2.3. Physical Activity

Currently, accelerometers are used in many studies on the level of physical activity. This study used the ActiGraph WGT3X-BT (Pensacola, USA) triaxial accelerometer [27].
The accelerometer was placed on the waist using a flexible strap, above the right hip bone, in order to measure the participant’s motion rate and frequency. After the end of the recording, the sensor was connected to a computer via a mini-USB to transfer the data. During initialization, information such as the participant’s name, sex, height, weight, and race was acquired. The participants were instructed to wear the accelerometer for seven consecutive days, 24 h a day, five days a week and two days on the weekend. The data were collected in 5-s epochs [28]. Non-wear time was defined as 60 min of consecutive zeros, allowing for 2 min of non-zero interruptions [29].
Wear time of ≥500 min/day was used as the criterion for a valid day, and ≥ 4 days were used as the criteria for a valid 7-day period of accumulated data [29]. Data from 7:00 a.m. to 11:00 p.m. were used for analysis [30]. ActiGraph data were analyzed with Actilife 6.0. (ActiGraph LLC, Pensacola, FL, USA).
The cut-off points from Evenson et al. were selected to determine the time spent on MVPA level (>2296 counts per minute—CPM). The cut-off points were: Sedentary: 0–100 CPM, Light: 101–2295 CPM, Moderate: 2296–4011 CPM, Vigorous: 4012–∞ CPM [31].
The participants complying with the minimum 60 min of MVPA per day requirement met the guidelines, while the participants who did not meet this number (<60 min) were regarded as inactive [32].
Daily step count was calculated as the mean daily step count from all valid days.
Accelerometers were placed on the children in the morning in kindergartens. The children were informed about how the accelerometer works.

2.4. Statistical Methods

The normality of the distribution was assessed using the Shapiro-Wilk test. None of the analyzed variables showed compliance with a normal distribution and, therefore, non-parametric tests were applied. The data were presented as the mean ± standard deviation for continuous variables, as well as the number of participants and percentage fractions for nominal variables. Generalized linear models were used to investigate factors that predicted levels and change in MVPA and steps counts. The study assumed a significance level of α=0.05. The statistical analysis was conducted using the Statistica 13.0 package (Dell 2016) [33].

3. Results

Table 1 presents the descriptive characteristics of the study population. The study group consisted of 371 participants (185 girls and 186 boys). The participants had an average age of 5.4 years (± 0.6). Only 96 (25.9%) of the participants followed the recommendation of at least 60 min of MVPA per day and only 21 (5.7%) met the requirements of at least 12,000 steps daily.
Table 2 presents a detailed analysis of PA parameters by sex. It also shows the MVPA index level (on average, 48 ± 21 min) and the number of steps per day (8800 ± 2066 per day). Statistically significant differences between the boys and girls were found in three out of six PA indices.
The analysis showed that the boys had higher total PA levels and spent more time in moderate activities (a mean difference of 59 min; <0.0001) and MVPA (a mean difference of 9 min; p = 0.0001), and took more steps per day (a mean difference of 393; p = 0.0453).
Table 3 presents the MVPA classifications by sex, BMI classification, and Step counts. Boys and girls showed a different level of MVPA index (p = 0.0001; odds ratio of 0.37). The number of boys who met the recommendations of MVPA classifications was more than twice higher with regards to girls. The division into BMI classification clearly shows that the total number of 296 respondents are in the healthy body mass group, and the statistical difference is p = 0.0045.
The analysis of step counts classification shows the appropriate amount of MVPA and step counts has been met by a small group of 5.1% (p = 0.0001; odds ratio of 33.68).
Analyzing the data from Table 4 it was found that only the gender and BMI classification associated with MVPA in the full multilevel analysis were identified as determinants on the final model. MVPA was positively associated with age, body height and BMI classification. An identical phenomenon was observed regarding step counts. A negative association was noted for gender and body mass (MVPA and step counts). Statistical significance was noted only for gender and BMI classification in MVPA.

4. Discussion

The major strength of this study is the provision of objective physical activity data from children. However, almost 74.1% of the participants did not meet the international guidelines for a minimum MVPA level. This is one of the first large-scale studies in Poland, where a direct observation system was used to describe the PA level of children attending kindergarten.
Physical activity differed slightly between each sex. This may be due to sex-dependent motor skills [34].
PA is an important factor in decreasing cardiometabolic risk factors in children, but most children are not meeting the recommendations for health-enhancing daily PA [35,36].
A total of 25.9% of the participants met the recommended MVPA level and showed a different MVPA index level between the sexes (boys 17.5%; girls 8.4%).
In our research, the children spent an average of 4053 min/week in sedentary activities. This gives an average of 579 min/day, or 10 h/day.
Based on the analysis of our own study results, we found that the boys were more active than the girls (boys 52 ± 23 min and girls 43 ± 19 min of MVPA–p = 0.0001). Similar results were obtained by O’Dwyer et al. [21] and Jago et al. [37]. In a study of five-year-olds from Qatar, the average MVPA level was 26.0 ± 8.6 and 23.1 ± 8.8 min per day for boys and girls, respectively [38].
Our findings, therefore, align with literature and support the idea that preschool-aged boys are more active than their female counterparts [39,40].
A much higher result was presented by Leeger-Aschmann et al. [41], indicating that the average level of MVPA index was 86 min for a study population of 394 children from Switzerland aged 3.9 ± 0.7 years.
One of the largest scientific reports analyzing the MVPA index level in preschool children is a systematic review by Ravagnani et al. [42]. The authors analyzed 33 scientific reports, and the MVPA index was analyzed for a total of 12,178 preschool children. The mean MVPA value for this population ranged from 21.1 (Puyau’s cut-off point) to 288.6 (Freedson’s cut-off points) min/day. In all the studies, the weighted average of MVPA min/day for boys and girls was 102.7 min. In short, the MVPA index of preschool children in the study did not reach a very impressive result.
The analysis by Vincent and Pangrazi [43] was one of the first studies to evaluate a large group of pupils aged 6–12 years (n = 711). The authors suggested a minimum of 11,000 steps for girls and 12,000 steps for boys per day as a basis for physical activity. On the other hand, Tudor-Locke et al. [44] proposed for children aged 6–11 years a minimum of 12,000 steps for girls and 15,000 steps for boys, and for children aged 4–6 years: 10,000–14,000 steps/day and for adolescents aged 12–19 years: 10,000–11,700 steps/day [45].
Despite the fact that only 5.9% of the participants followed the recommendations of 12,000 steps a day, the results of our own studies do not differ significantly from those of other authors. Taking into account the number of steps (boys 8996 ± 2322; girls 8603 ± 1758), our participants are at an average level, compared to the other results. For example, in a study of five-year-olds from Greece, the number of steps were as follows: boys 10,399 ± 2320 and girls 9598 ± 1788, [46] while studies in Australia, show the number of steps of pre-schoolers were: boys 12,014 and girls 9762, [47] and the number of steps of preschool children from Belgium were: boys 10,983 ± 1720 and girls 8210 ± 2170 [48].
Adams et al. [49] found that in most cases the standard of 12,000 steps per day was too high. Tudor-Locke et al. [45] in their topic-related literature review suggested that adolescents should achieve at least 10,000 steps/day.
It is important to set an attainable step count target, although it should be high enough so that not all preschoolers are categorized as sufficiently active because literature clearly shows an increase in overweight and obesity prevalence in preschool children [50]. Studies with direct observation show low levels of PA in pre-schoolers [51,52,53] and it is logical to assume that additional health benefits can come from accumulating more steps per day.
It is worth noting that almost all of the subjects who met the recommendation of 12,000 steps (5.9%) also met the MVPA 60 min. minimum MVPA (5.1%) (Table 3).
The use of accelerometers in research is popular, and studies on different levels of physical activity measured as the number of steps help to set goals that can affect children’s PA levels and aerobic performance.
This study featured a number of strengths and limitations, which are worthy of note. The main strength of the study is the large sample size of 371 pre-schoolers with valid accelerometer data for a minimum of four complete days (two weekdays and two weekend days), and reliable direct observation made possible by the use of the accelerometer. It is the first objective study on the PA level on pre-school children in Poland in such a large group. The results may be limited to some extent, as all the kindergartens were located in a single metropolitan area, and the study sample was not an ideal representation of the population of children attending kindergarten. It did not include children from rural areas and other cities. However, it is worth emphasizing that there were no interventions in children’s PA during the study.
In conclusion, promoting active lifestyles in children should be one of the health priorities in developed countries. In the future, a similar study should be carried out on a population that includes children from rural areas and other cities.

5. Conclusions

The results significantly improve the current knowledge of PA in Poland. In our study, boys were more active than girls. The hypothesis was confirmed because the research showed that BMI and gender significantly differentiate the level of physical activity of preschool children.
The minority of the study group (25.9%) followed the recommendation of at least 60 min of MVPA per day, while 94.3% did not achieve the recommended 12,000 steps per day. Increasing numbers of detailed reports on the patterns that occur each day of the week can help public health strategists, teachers and, above all, children’s caregivers to develop more detailed interventions in order to increase PA levels in children throughout the day. The study involved children in urban areas, not in rural areas. The authors suggest that children from kindergartens should join programs that increase physical activity. Such programs have been introduced successively in the city of Rzeszów for several years. It may be worth encouraging parents to provide opportunities for physical free play as promoted by Gray [54] and Brown [55]. Parents’ involvement is observed as essential [56,57].
Health education for parents is needed, both in order to learn how important adequate PA is for a child’s health and development, as well as to learn strategies for stimulating children’s PA [58].

Author Contributions

J.H.; analysis of the data, drafted and finalized the manuscript; K.P. and A.S.; participated in the data analysis and critical reading of the manuscript; P.M., J.L.and J.B.; conduct of study, data entry at study sites and critical reading of the manuscript; J.H.; designed the research and critical reading of the manuscript; J.W.; participated in the data analysis and critical reading of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

We thank all of the parents for the enthusiasm and support for the project. In particular, the authors would like to thank all of the kindergarten staff. The studies reported herein have been carried out with partial financial support from the University of Rzeszów, within the project “School environment and home environment—comparison of selected parameters of physical activity” (WWF/PB/9/2018). The dataset used and analyzed during the current research is available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Central Statistical Office. Poland in Numbers, Warsaw. 2017. Available online: http://stat.gov.pl (accessed on 21 September 2018).
  2. Adamo, K.B.; Papadakis, S.; Dojeiji, L.; Turnau, M.; Simmons, L.; Parameswaran, M.; Cunningham, J.; Pipe, A.L.; Reid, R.D. Using path analysis to understand parents’ perceptions of their children’s weight, physical activity and eating habits in the Champlain region of Ontario. Paediatr. Child Health 2010, 15, 33–41. [Google Scholar] [CrossRef] [PubMed]
  3. U.S. Department of Health and Human Services. Physical Activity Guidelines for Americans. U.S. Department of Health and Human Services. 2008. Available online: http://www.health.gov/paguidelines (accessed on 3 October 2018).
  4. Rasberry, C.N.; Lee, S.M.; Robin, L.; Laris, B.A.; Russell, L.A.; Coyle, K.K.; Nihiser, A.J. The association between school-based physical activity, including physical education, and academic performance: A systematic review of the literature. Prev. Med. 2011, 52, 10–20. [Google Scholar] [CrossRef] [PubMed]
  5. Poitras, V.J.; Gray, C.E.; Borghese, M.M.; Carson, V.; Chaput, J.P.; Janssen, I.; Katzmarzyk, P.T.; Pate, R.R.; Connor, G.S.; Kho, M.E.; et al. Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Appl. Physiol. Nutr. Metab. 2016, 41, 197–239. [Google Scholar] [CrossRef] [PubMed]
  6. Roth, K.; Kriemler, S.; Lehmacher, W.; Ruf, K.C.; Graf, C.; Hebestreit, H. Effects of a Physical Activity Intervention in Preschool Children. Med. Sci. Sports Exerc. 2015, 47, 2542–2551. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Institute of Medicine. Preventing Childhood Obesity: Health in the Balance: Committee on Prevention of Obesity in Children and Youth; National Academic Press: Washington, DC, USA, 2004. [Google Scholar]
  8. Ginsburg, K.R. The importance of play in promoting healthy child development and maintaining strong parent-child bonds. Pediatrics 2007, 119, 182–191. [Google Scholar] [CrossRef] [Green Version]
  9. McDonald, N.C. Active transportation to school: Trends among U.S. schoolchildren, 1969–2001. Am. J. Prev. Med. 2007, 32, 509–516. [Google Scholar] [CrossRef]
  10. van der Ploeg, H.P.; Merom, D.; Corpuz, G.; Bauman, A.E. Trends in Australian children traveling to school 1971–2003: Burning petrol or carbohydrates? Prev. Med. 2008, 46, 60–62. [Google Scholar] [CrossRef] [Green Version]
  11. National Physical Activity Plan Alliance. United States Report Card on Physical Activity for Children and Youth; National Physical Activity Plan Alliance: Columbia, SC, USA, 2016. [Google Scholar]
  12. Ojiambo, R.; Gibson, A.R.; Konstabel, K.; Lieberman, D.E.; Speakman, J.P.; Reily, J.J.; Pitsiladis, Y.P. Free-living physical activity and energy expenditure of rural children and adolescents in the Nandi region of Kenya. Ann. Hum. Biol. 2013, 40, 318–323. [Google Scholar] [CrossRef]
  13. World Health Organization. Global Recommendations on Physical Activity for Health: 5–17 Years. WHO. 2011. Available online: http://www.who.int/dietphysicalactivity/factsheet_young_people/en/index.html (accessed on 3 October 2018).
  14. Esliger, D.W.; Tremblay, M.S. Physical activity and inactivity profiling: The next generation. Appl. Physiol. Nutr. Metab. 2007, 32, 195–207. [Google Scholar] [CrossRef]
  15. Tudor-Locke, C.; Johnson, W.D.; Katzmarzyk, P.T. Accelerometer-determined steps/day in U.S. children and youth. Med. Sci. Sports Exerc. 2010, 42, 2244–2250. [Google Scholar] [CrossRef]
  16. President’s Council on Physical Fitness and Sports. The Presidents Challenge: Physical Activity and Fitness Awards. 2014. Available online: http://www.presidentschallenge.org (accessed on 3 October 2018).
  17. World Health Organization. WHO STEPS Surveillance Manual: The WHO STEP Wise Approach to Chronic Disease Risk Factor Surveillance; WHO: Geneva, Switzerland, 2005. [Google Scholar]
  18. Janssen, I.; Leblanc, A.G. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int. J. Behav. Nutr. Phys. Act. 2010, 7, 40. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Hallal, P.C.; Wells, J.C.; Reichert, F.F.; Anselmi, L.; Victora, C.G. Early determinants of physical activity in adolescence: Prospective birth cohort study. BMJ 2006, 332, 1002–1007. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. National Association for Sport and Physical. Education. Active Start: A Statement of Physical Activity Guidelines for Children Birth to Age 5; AAHPERD Publications: Oxon Hill, MD, USA, 2009. [Google Scholar]
  21. O’Dwyer, M.; Fairclough, S.J.; Ridgers, N.D.; Knowles, Z.R.; Foweather, L.; Stratton, G. Patterns of objectively measured moderate to vigorous physical activity in preschool children. JPAH 2014, 11, 1233–1238. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Barbosa, S.C.; Coledam, D.H.C.; Stabelini Neto, A.; Elias, R.G.M.; de Oliveira, A.R. School environment, sedentary behavior and physical activity in preschool children. Rev. Paul. Pediatr. 2016, 34, 301–308. [Google Scholar] [CrossRef] [PubMed]
  23. Bell, A.C.; Finch, M.; Wolfenden, L.; Fitzgerald, M.; Morgan, P.J.; Jones, J.; Freund, M.; Wiggers, J. Child physical activity levels and association with modifiable characteristics in centre-based childcare. J. Public Health 2015, 30, 232–236. [Google Scholar] [CrossRef] [Green Version]
  24. Sugiyama, T.; Okely, D.A.; Masters, J.M.; Moore, G.T. Attributes of child care centers and outdoor play areas associated with preschoolers physical activity and sedentary behaviour. Environ. Behav. 2012, 44, 334–349. [Google Scholar] [CrossRef]
  25. Kułaga, Z.; Różdżyńska, A.; Palczewska, I. Percentile charts of height, body mass and body mass index in children and adolescents in Poland—Results of the OLAF study. Stand. Med. 2010, 7, 690–700. [Google Scholar]
  26. Barlow, S.E. Expert Committee. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: Summary report. Pediatrics 2007, 120, 164–192. [Google Scholar] [CrossRef] [Green Version]
  27. Lee, I.M.; Shiroma, E.J. Using accelerometers to measure physical activity in large-scale epidemiological studies: Issues and challenges. Br. J. Sports Med. 2013, 48, 197–201. [Google Scholar] [CrossRef] [Green Version]
  28. Vale, S.; Silva, P.; Santos, R.; Soares-Miranda, L.; Mota, J. Compliance with physical activity guidelines in preschool children. J. Sports Sci. 2010, 28, 603–608. [Google Scholar] [CrossRef] [PubMed]
  29. Troiano, R.P.; Berrigan, D.; Dodd, K.W.; Mâsse, L.C.; Tilert, T.; McDowell, M. Physical activity in the United States measured by accelerometer. Med. Sci. Sports Exerc. 2008, 40, 181–188. [Google Scholar] [CrossRef] [PubMed]
  30. Quan, M.; Zhang, H.; Zhang, J.; Zhou, T.; Zhang, J.; Zhao, G.; Fang, H.; Sun, S.; Wang, R.; Chen, P. Are preschool children active enough in Shanghai: An accelerometer-based cross-sectional study. BMJ Open 2019, 9, e024090. [Google Scholar] [CrossRef] [PubMed]
  31. Evenson, K.R.; Catellier, D.J.; Gill, K.; Ondrak, K.S.; McMurray, R.G. Calibration of two objective measures of physical activity for children. J. Sports Sci. 2008, 26, 1557–1565. [Google Scholar] [CrossRef] [PubMed]
  32. World Health Organization. Global Strategy on Diet, Physical Activity and Health; WHO: Geneva, Switzerland, 2004. [Google Scholar]
  33. Dell Inc. Dell Statistica (Data Analysis Software System), Version 13. Available online: http://www.software.dell.com (accessed on 15 September 2019).
  34. Cliff, D.P.; Reilly, J.J.; Okely, A.D. Methodological considerations in using accelerometers to assess habitual physical activity in children aged 0–5 years. J. Sci. Med. Sport 2009, 12, 557–567. [Google Scholar] [CrossRef] [PubMed]
  35. Ekelund, U.; Luan, J.; Sherar, L.B.; Esliger, D.W.; Griew, P.; Cooper, A.; International Children’s Accelerometry Database (ICAD) Collaborators. Moderate to Vigorous Physical Activity and Sedentary Time and Cardiometabolic Risk Factors in Children and Adolescents. JAMA 2012, 307, 704–712. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Institute of Medicine. Early Childhood Obesity Prevention Policies: Goals, Recommendations, and Potentialaction; National Academies Press: Washington, DC, USA, 2013. [Google Scholar]
  37. Jago, R.; Sebire, S.J.; Wood, L.; Pool, L.; Zahra, J.; Thompson, J.L.; Lawlor, D.A. Associations between objectively assessed child and parental physical activity: A cross-sectional study of families with 5–6 year old children. BMC Public Health 2014, 14, 655. [Google Scholar] [CrossRef] [Green Version]
  38. Zimmo, L.; Farooq, A.; Almudahka, F.; Ibrahim, I.; Al-Kuwari, M.G. School-time physical activity among Arab elementary school children in Qatar. BMC Pediatr. 2017, 17, 76. [Google Scholar] [CrossRef] [Green Version]
  39. Hinkley, T.; Salmon, J.; Okely, A.D.; Crawford, D.; Hesketh, K. Preschoolers’ physical activity, screen time, and compliance with recommendations. Med. Sci. Sports Exerc. 2012, 44, 458–465. [Google Scholar] [CrossRef]
  40. Robinson, L.E.; Palmer, K.K.; Webster, E.K.; Logan, S.W.; Chinn, K.M. The effect of CHAMP on physical activity and lesson context in preschoolers: A feasibility study. Res. Q. Exerc. Sport 2018, 89, 265–271. [Google Scholar] [CrossRef]
  41. Leeger-Aschmann, C.S.; Schmutz, E.; Radtke, T.; Kakebeeke, T.H.; Zysset, A.E.; Messerli-Bürgy, N.; Stülb, K.; Arhab, A.; Meyer, A.H.; Munsch, S.; et al. Regional sociocultural differences as important correlate of physical activity and sedentary behaviour in Swiss preschool children. Swiss Med. Wkly. 2016, 12, 146. [Google Scholar] [CrossRef] [Green Version]
  42. Ravagnani, F.C.P.; Coelho-Ravagnani, C.F.; Brazendale, K.; Weaver, R.G.; Bornstein, D.; Beets, M.G. Application of the Rosetta Stone to understand how much MVPA preschoolers accumulate: A systematic review. J. Sci. Med. Sport 2017, 20, 849–855. [Google Scholar] [CrossRef] [PubMed]
  43. Vincent, S.D.; Pangrazi, R.P. An examination of the activity patterns of elementary school children. Pediatr. Exerc. Sci. 2002, 14, 432–441. [Google Scholar] [CrossRef]
  44. Tudor-Locke, C.; Pangrazi, R.P.; Corbin, C.B.; Rutherford, W.J.; Vincent, S.D.; Raustorp, A.; Tomson, L.M.; Cuddihy, T.F. BMI-referenced standards for recommended pedometer-determined steps/day in children. Prev. Med. 2004, 38, 857–864. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Tudor-Locke, C.; Craig, C.L.; Beets, M.W.; Belton, S.; Cardon, G.M.; Duncan, S.; Hatano, Y.; Lubans, D.R.; Olds, T.S.; Raustorp, A.; et al. How Many Steps/Day are Enough? for Children and Adolescents. Int. J. Behav. Nutr. Phys. Act. 2011, 8, 78. [Google Scholar] [CrossRef] [Green Version]
  46. Craemer, M.D.; Decker, E.D.; Bourdeaudhuij, I.D.; Verloigne, M.; Manios, Y.; Cardon, G. The translation of preschoolers’ physical activity guidelines into a daily step count target. J. Sports Sci. 2015, 33, 1051–1057. [Google Scholar] [CrossRef]
  47. Telford, R.M.; Telford, R.D.; Cunningham, R.B.; Cochrane, T.; Davey, R.; Waddington, G. Longitudinal patterns of physical activity in children aged 8 to 12 years: The LOOK study. Int. J. Behav. Nutr. Phys. Act. 2013, 10, 81. [Google Scholar] [CrossRef] [Green Version]
  48. De Craemer, M.; McGregor, D.; Androutsos, O.; Manios, Y.; Cardon, G. Compliance with 24-h Movement Behaviour Guidelines among Belgian Pre-School Children: The ToyBox-Study. Int. J. Environ. Res. Public Health 2018, 15, 2171. [Google Scholar] [CrossRef] [Green Version]
  49. Adams, M.; Johnson, W.; Tudor-Locke, C. A steps/day translation of the moderate-to-vigorous physical activity guideline for children and adolescents. Int. J. Behav. Nutr. Phys. Act. 2013, 10. [Google Scholar] [CrossRef] [Green Version]
  50. de Onis, M.; Blossner, M.; Borghi, E. Global prevalence and trends of overweight and obesity among preschool children. Am. J. Clin. Nutr. 2010, 92, 1257–1264. [Google Scholar] [CrossRef] [Green Version]
  51. Gubbels, J.S.; Kremers, S.P.J.; van Kann, D.H.H.; Stafleu, A.; Candel, M.J.J.M.; Dagnelie, P.C.; Thijs, C.; de Vries, N.K. Interaction between physical environment, social environment, and child characteristics in determining physical activity at child care. Health Psychol. 2011, 30, 84–90. [Google Scholar] [CrossRef]
  52. Nicaise, V.; Kahan, D.; Sallis, J.F. Correlates of moderate-to-vigorous physical activity among preschoolers during unstructured outdoor play periods. Prev. Med. 2011, 53, 309–315. [Google Scholar] [CrossRef] [PubMed]
  53. Van Cauwenberghe, E.; Labarque, V.; Trost, S.G.; De Bourdeaudhuij, I.; Cardon, G. Calibration and comparison of accelerometer cut points in preschool children. Int. J. Pediatr. Obes. 2011, 6, 582–589. [Google Scholar] [CrossRef] [PubMed]
  54. Gray, P. The Decline of Play and the Rise of Psychopathology in Children and Adolescents. Am. J. Play 2011, 3, 443–463. [Google Scholar]
  55. Brown, F. Playwork, Play Deprivation, and Play. Am. J. Play 2012, 4, 267–283. [Google Scholar]
  56. Hinkley, T.; Crawford, D.; Salmon, J.; Okely, A.D.; Hesketh, K. Preschool children and physical activity: A review of correlates. Am. J. Prev. Med. 2008, 34, 435–441. [Google Scholar] [CrossRef] [PubMed]
  57. Adamo, K.B.; Wasenius, N.S.; Grattan, K.P.; Harvey, A.L.J.; Naylor, P.J.; Barrowman, N.J.; Goldfield, G.S. Effects of a preschool intervention on physical activity and body composition. J. Pediatr. 2017, 188, 42–49.e2. [Google Scholar] [CrossRef]
  58. Ling, J.; Robbins, L.B.; Wen, F.; Zhang, N. Lifestyle interventions in preschool children: A meta-analysis of effectiveness. Am. J. Prev. Med. 2017, 53, 102–112. [Google Scholar] [CrossRef]
Table 1. Characteristics of children.
Table 1. Characteristics of children.
VariableValues
Gender a
Girls 185 (49.9)
Boys186 (50.1)
Age b (years)5.4 ± 0.6
Body mass b (kg) 21.3 ± 3.8
Body height b (cm)116.2 ± 6.2
BMI percentile b46.5 ± 31.0
Body mass classification a
Underweight30 (8.1)
Healthy body mass296 (79.8)
Overweight28 (7.5)
Obese17 (4.6)
MVPA [minutes/day] classification a
≥6096 (25.9)
<60275 (74.1)
Step Counts classification a
≥1200021 (5.7)
<12000350 (94.3)
Data are expressed as a—n (%); b—x̅ (SD).
Table 2. Physical activity by sex.
Table 2. Physical activity by sex.
Total (n = 371)Boys (n = 186)Girls (n = 185)ΔM-Fp
Sedentary (min)4053 ± 14314096 ± 15364009 ± 1321870.734
Light (min)3134 ± 6553148 ± 7573119 ± 575290.151
Moderate (min)263 ± 115292 ± 123233 ± 98590.0001 *
Vigorous (min)67 ± 5669 ± 5364 ± 5960.134
MVPA48 ± 2152 ± 2343 ± 19100.0001 *
Step Counts 8800 ± 20668996 ± 23228603 ± 17583930.0453 *
*-statistical significance.
Table 3. Moderate to Vigorous Physical Activity classification.
Table 3. Moderate to Vigorous Physical Activity classification.
MVPA Classifications n (%)pOdds Ratio
≥60 min<60 min
Gender 0.0001 * 0.37
Girls31 (8.4)154 (41.5)
Boys65 (17.5)121 (32.6)
BMI classification 0.0045 * NA
Underweight4 (1.1)26 (7.0)
Healthy body mass77 (20.8)219 (59.0)
Overweight5 (1.3)23 (6.2)
Obese10 (2.7)7 (1.9)
Step counts classification 0.0001 * 33.68
≥12,00019 (5.1)2 (0.5)
<12,00077 (20.8)273 (73.6)
*-statistical significance.
Table 4. Generalized linear models for MVPA and steps counts.
Table 4. Generalized linear models for MVPA and steps counts.
MVPA [minutes/day]Step Counts
β95% CIpβ95% CIp
Gender−0.22(−0.32, −0.12)0.0001 *−0.11(−0.21, 0.01)0.051
Age0.06(−0.06, 0.17)0.3510.09(−0.03, 0.21)0.155
Body mass−0.97(−2.05, 0.10)0.075−0.62(−1.73, 0.50)0.278
Body height0.64(−0.01, 1.29)0.0530.32(−0.35, 0.99)0.348
BMI classification0.75(0.01, 1.46)0.038 *0.46(−0.28, 1.19)0.223
*-statistical significance.

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MDPI and ACS Style

Herbert, J.; Matłosz, P.; Lenik, J.; Szybisty, A.; Baran, J.; Przednowek, K.; Wyszyńska, J. Objectively Assessed Physical Activity of Preschool-Aged Children from Urban Areas. Int. J. Environ. Res. Public Health 2020, 17, 1375. https://doi.org/10.3390/ijerph17041375

AMA Style

Herbert J, Matłosz P, Lenik J, Szybisty A, Baran J, Przednowek K, Wyszyńska J. Objectively Assessed Physical Activity of Preschool-Aged Children from Urban Areas. International Journal of Environmental Research and Public Health. 2020; 17(4):1375. https://doi.org/10.3390/ijerph17041375

Chicago/Turabian Style

Herbert, Jarosław, Piotr Matłosz, Justyna Lenik, Agnieszka Szybisty, Joanna Baran, Karolina Przednowek, and Justyna Wyszyńska. 2020. "Objectively Assessed Physical Activity of Preschool-Aged Children from Urban Areas" International Journal of Environmental Research and Public Health 17, no. 4: 1375. https://doi.org/10.3390/ijerph17041375

APA Style

Herbert, J., Matłosz, P., Lenik, J., Szybisty, A., Baran, J., Przednowek, K., & Wyszyńska, J. (2020). Objectively Assessed Physical Activity of Preschool-Aged Children from Urban Areas. International Journal of Environmental Research and Public Health, 17(4), 1375. https://doi.org/10.3390/ijerph17041375

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