- 1Faculty of Sport Sciences, Kırıkkale University, Kırıkkale, Turkey
- 2School of Sport and Leisure, Polytechnic Institute of Viana do Castelo, Melgaço, Portugal
- 3Instituto de Telecomunicações, Delegação da Covilhã, Covilhã, Portugal
- 4Centre for Sport, Exercise and Life Sciences, Coventry University, Coventry, United Kingdom
- 5Exercise Physiology Laboratory, Nikaia, Greece
- 6Institute of Primary Care, University of Zurich, Zurich, Switzerland
- 7Medbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland
The purpose of this study was twofold: first, to compare the central adiposity (CA), cardiovascular fitness (CF), and physical activity (PA) in children with different weight status, and second, to determine the associations between moderate to vigorous physical activity (MVPA) and measures of adiposity [CA and body mass index (BMI)] and CF. A sample of 244 children (boys = 120 and girls = 124), 9.7–10.8 years of age (10.3 ± 0.3 years), was measured for stature, body mass, waist circumferences, and 20-m multi-stage fitness test. PA was recorded with ankle mounted accelerometer. BMI groups were used to classify children as underweight (UW), normal weight (NW), and overweight (OW). The prevalence of being OW was 21.7 and 25% in boys and girls, respectively. Only 5.3% of the participants were found to accumulate recommended amount (≥60 min/day) of MVPA. Boys were significantly outperformed girls in terms of CF. Moreover, they were significantly more engaged in moderate and vigorous physical activities than girls. Regardless of gender, results indicated that OW children had significantly higher values in all anthropometric parameters and lower level of CF than their UW and NW counterparts. In girls, OW children were found to accrue less time engaging in MVPA than the children in UW and NW groups. In boys, OW children were found to accrue less time engaging in vigorous activities than UW and NW children. Results also showed that there were no significant differences between UW and NW girls and boys in respect to CF. Besides, UW girls were found to accrue more time engaging in MVPA than NW girls. MVPA was found to be significantly and negatively correlated with BMI and waist circumference and significantly and positively correlated with CF in both boys and girls. These discrepancies and associations highlight the considerable influences of MVPA on weight status and CF in children.
Introduction
The progressive increase in childhood obesity is believed to result in pathophysiological consequences, including incidence of cardiovascular events in adulthood (Ayer et al., 2015; McCrindle, 2015). For that reason, among many, an early detection of adverse cardio-metabolic risk profiles may promote a beneficial effect to prevent or protect against future morbidity by adopting specific intervention programs that may help to reduce the risk factors (Bailey et al., 2015). Among other factors, an increase in physical activity (PA) levels, systematization, quality, and intensity can be a safe and effective contributor to ameliorate the risk of morbidity, concomitantly increasing the quality of life of the citizens (Clark et al., 2016; Higuera-Hernández et al., 2018).
Empirical evidence is persistently supportive of the assertion that more PA accrued, the greater the health benefits, particularly of moderate-to-vigorous intensity (Janssen and LeBlanc, 2010). However, it is commonly observed that overweight (OW) children are typically less active than their normal-weight counterparts (Stratton et al., 2007). Moreover, a lack of motor competency also putatively mediates low PA levels; thus, PA programs that promote an improvement in fundamental movement skills may facilitate improvement of PA levels (Utesch et al., 2018). In fact, it seems that a highly developed level of motor competency in childhood may have the potential to foster lifelong functional independence and quality of life (Robinson et al., 2015; Clark et al., 2018).
One of the capacities typically included in batteries of motor competence assessment is aerobic cardiovascular fitness (CF; Khodaverdi et al., 2016; Luz et al., 2019). Cardiovascular capacity seems to play an important role in sustaining a healthier cardiovascular profile in young children and adolescents (Ruiz et al., 2015). Moreover, aerobic fitness is closely related to PA levels. In fact, in two cross-sectional studies, it was found that children with high moderate to vigorous physical activity (MVPA) levels and low sedentary behaviors had higher odds of having a high CF (Martinez-Gomez et al., 2011; Santos et al., 2014).
Briefly, the evidence suggests that less active children presents higher odds of having excess weight and lower CF. Such hypotheses should be better analyzed, namely because they can serve as a “red flag” to control and implement monitoring strategies in the early stages of childhood. Previous studies have widely investigated the PA, aerobic fitness, and adiposity of normal weight (NW) and OW children. However, there is paucity of information for children who are underweight (UW). Thus, in this study, we examined whether standardized measure of PA, central adiposity (CA), and CF were different in UW, NW, and OW children in both genders. Furthermore, we analyze the associations between MVPA and markers of adiposity [CA and body mass index (BMI)] and CF.
Materials and Methods
Participants
A total of 244 children (boys = 120 and girls = 124), 9.7–10.8 years of age (10.3 ± 0.3 years), participated in the study. They were a voluntary sub-sample of 822 children from 30 publicly funded primary schools in Southern Wales, UK. Prior to research commencing, legal guardian informed consent and child assent were attained. This research was conducted in agreement with the guidelines and policies of the institutional ethics committee and in accordance with the Declaration of Helsinki.
Anthropometric Measurements
Measurements were taken by a single observer in accordance with standardized procedures (Lohman et al., 1988). Stature was measured with a stadiometer (SECA, Hamburg, Germany) to the nearest 0.01 m. Body mass was measured with a digital scale (SECA, Hamburg, Germany) to the nearest 0.1 kg. Waist circumference was measured with a flexible steel tape to the nearest centimeter and at the smallest circumference between the ribs and iliac crest. BMI was calculated by dividing weight (kg) by the squared height (m). BMI centiles were used to classify children as either UW (<5th percentile), NW (5th to 85th percentile), and OW (>85th to <95th percentile) (Cole and Lobstein, 2012).
Twenty-Meter Multi-Stage Fitness Test
Multi-stage fitness test (MSFT) was used to assess CF of the participants. All participants were familiar with the MSFT procedures, since they have routinely been involved in this test at school. Nevertheless, instructions were provided, verbatim, prior to the commencement of the test, according to the standardized guidance of Leger et al. (1988). Moreover, the test was conducted on an indoor training facility (50 m × 50 m) in Southern Wales (UK). The participants completed the MSFT by running back and forth along a 20 m course and were required to touch the 20 m line at the same time where a sound signal was emitted from a pre-recorded audio disk. The frequency of the sound emissions increased to produce a corresponding increase in running speed. The test stopped when the participant reached volitional exhaustion and was no longer able to follow the set pace, or participants were withdrawn after receiving two verbal warnings to meet the required pace (Leger et al., 1988).
Physical Activity
Study participants wore an ActiGraph GT3X+ accelerometer (ActiGraph, Pensacola, FL, USA) for 7 consecutive days in summer (Fuemmeler et al., 2011; Ridgers et al., 2014). Participants were instructed to wear the accelerometer constantly except when bathing or swimming. The accelerometer dimensions are 4.6 cm × 3.3 cm × 1.5 cm and weigh 19 g. Its sampling frequency was set to 100 Hz, and the sampling interval (epoch) in the present study was set to be 1–s (Pate et al., 2006; Østbye et al., 2013). Participants wore their accelerometer on the waist, above the right hip, affixed using an elastic belt (Hesketh et al., 2014). Accelerometer data were analyzed to measure the following parameters: daily duration of sedentary behavior, light PA, moderate PA, vigorous PA, and MVPA (Migueles et al., 2017). ActiGraph acceleration data were analyzed using a commercially available analysis tool (KineSoft version 3.3.67, KineSoft; www.kinesoft.org). Non-wear periods were defined as any sequence of >20 consecutive minutes of zero activity counts (Tudor-Locke et al., 2015). Sedentary behavior was defined as <100 counts per minute, while 100, 2,296, and 4,012 counts per minute were thresholds to define light, moderate, and vigorous PA, respectively (Evenson et al., 2008; Trost et al., 2011). All PA data were collected in week blocks, over a 1-month period.
Statistical Procedures
All data were analyzed using SPSS for Windows. Descriptive statistics (mean ± SD) were calculated for the variables. Due to non-normal distribution of the data, the Kruskal-Wallis test was used to analyze the discrepancies of variables in regard to BMI categories. Mann-Whitney U tests were used to follow-up pairwise comparisons and to examine gender differences. Spearman’s rank correlation coefficient was conducted to examine the association between MVPA and other variables. Statistical significance level was settled at 0.05.
Results
Descriptive statistics are detailed in Table 1. The results revealed that boys were significantly (p < 0.05) outperformed girls in terms of CF. Furthermore, they were significantly (p < 0.01) more engaged in moderate and vigorous physical activities than girls. Other variables were found comparable between genders.
The descriptive statistics of boys by weight status and the Kruskal-Wallis test results are given in Table 2. The Mann-Whitney U test revealed that OW boys had significantly higher values in all anthropometric parameters than their UW and NW counterparts. Further results indicated that OW boys had significantly lower level of CF than boys in other BMI groups. Moreover, they were found to accrue less time engaging in vigorous activities than UW and NW boys. There were no significant differences between UW and NW boys in respect to CF and PA variables.
The descriptive statistics of girls by weight status and the Kruskal-Wallis test results are presented in Table 3. The Mann-Whitney U test demonstrated that OW girls had significantly greater values in all anthropometric parameters than their UW and NW counterparts. Furthermore, they were significantly less engaged in moderate and vigorous physical activities than UW and NW girls. Besides, they were found to have significantly lower level of CF than the girls in other BMI groups. UW girls were found to accrue more time engaging in moderate and vigorous physical activities than NW girls. There were no significant differences between UW and NW girls in terms of CF.
The correlations between MVPA and the other variables were presented separately for each gender in Table 4. The results showed that MVPAs were significantly and negatively associated with BMI and waist circumference and significantly and positively associated with CF in both boys and girls.
Discussion
The main purpose of this cross-sectional study was to determine the variations in the CA, CF, and PA among children with different weight status. The results indicated that regardless of gender, OW children were found to have greater CA and lower values in CF and MVPA than their UW and NW counterparts. These findings are in line with the results of previous investigations, where significant differences among BMI groups have been reported in regard to CA (Ferreira and Marques-Vidal, 2008; Karppanen et al., 2012), CF (Aires et al., 2010; Niederer et al., 2012), and MVPA (Page et al., 2005; Decelis et al., 2014). Although current literature has not reached a consensus regarding the actual causes of child OW/obesity, such disparities among children with different weight status may be, at least in part, attributed to the unhealthy eating habits, physical inactivity, sedentary screen time, environmental factors, and psychological stress (Slyper, 2004; Pate et al., 2013; Ross et al., 2016).
The results showed that, regardless of gender, there were no significant differences between UW and NW children in respect to CF. This result is in accord with the finding of the earlier examinations (Artero et al., 2010; Gulías-González et al., 2014). On the other hand, UW girls were found to accrue more time engaging in moderate and vigorous physical activities than NW girls. Previous studies present inconsistent results in regard to PA level of UW and NW children (Chung et al., 2012; Fairclough et al., 2017). Therefore, further research is needed on this important subject.
The results in regard to gender effect demonstrated that boys scored significantly better than girls in terms of CF. In addition, they were found to be significantly more engaged in MVPA than girls. These results are in accord with the findings of antecedent studies (Hussey et al., 2007; Pereira et al., 2010; Ridgers et al., 2010; Martinez-Gomez et al., 2011). This difference in PA level was previously explained by social support (Edwardson et al., 2013), perceived enjoyment of physical education (Cairney et al., 2012), and biological maturation (Wickel et al., 2009). Gender differences in CF may be due to the disparity in body mass, where girls were found to be significantly heavier than boys (Armstrong and Welsman, 1994; Martinez-Gomez et al., 2011).
The results of the correlation analysis demonstrated small to medium associations between MVPA and BMI, waist circumference, and aerobic fitness in both girls and boys. Similar observations were reported with the previous studies (Gutin et al., 2005; Ruiz et al., 2006; Jiménez-Pavón et al., 2010). It seems that participating in MVPA plays not only an important role on having a healthy central and total adiposity but also on aerobic fitness in childhood.
The overall prevalence of OW was found to be 25.4% (boys = 21.7% and girls = 25.0%). These percentages were higher than the previously measured children of similar age; for example, Chinn and Rona (2001) studied the secular tends in OW among British children aged between 9 and 11 years. In boys, prevalence of OW in 1974, 1984, and 1994 was reported as 6.2, 5.8, and 12.7, respectively. In girls, it was noted as 9.9, 9.9, and 16.7, respectively. Correspondingly, lower level of OW prevalence was observed for the children living in Wales (girls = 15.8% and boys = 17.9%) (Elgar et al., 2005) and living in Ireland (girls = 20.7% and boys = 20.2; Hussey et al., 2007). Additionally, in a recent paper (Skinner et al., 2018), lower prevalence of being OW (18.5%) was found in US children (9–11 years). This result might be due to that only 5.3% of the participants were found to accumulate recommended amount (≥60 min/day) of MVPA (World Health Organization, 2010). In summary, these findings undoubtedly indicate the existence of excessive adiposity in children.
Limitations
It should be acknowledged that the present study has several limitations. First, the cross-sectional observational design employed in this study precludes cause and effect interpretations. Second, biological maturity status, one of the major potential confounding factors for physical and functional characteristics of children in these age groups, was not evaluated. Third, in addition to BMI, estimation of body fat percentage would help to improve the interpretation of data in regard to body composition. Fourth, weather-related variables (temperature, rain, wind, etc.) were not evaluated. Lastly, rather than fractionation (intermittent versus continuous), only cumulative amounts of MVPA were considered in this study.
Conclusions
In this study, we examined whether children with different weight status differ in respect to their PA, CA, and CF. It is evident that, regardless of gender, OW children had significantly lower CF than their UW and NW counterparts. In girls and boys, OW children accrued less MVPA than the children in UW and NW groups. This study is original in the sense that it also provides data not only for NW and OW children but also for their UW counterparts. Our findings indicated that there were no significant differences between UW and NW girls and boys in terms of CF. Moreover, UW girls were found to accrue more time engaging in moderate and vigorous physical activities than NW girls. MVPA was found to be significantly and negatively correlated with BMI and waist circumference and significantly and positively correlated with CF in both boys and girls. These discrepancies and associations highlight the considerable influences of MVPA on weight status and CF in children, highlighting the need for sustained and longitudinal monitoring, in addition to greater effort given employing interventions, relevant to PA and CF.
Data Availability
The datasets generated for this study are available on request to the corresponding author.
Ethics Statement
Ethical approval prior to research commencing, legal guardian informed consent and child assent were attained. This research was conducted in agreement with the guidelines and policies of the institutional ethics committee and in accordance with the Declaration of Helsinki. The article was approved by a local ethical committee with the number IPVC-ESDL13092018.
Author Contributions
MS, FC, and CC designed the study. CC collected the data. MS analyzed and interpreted the data and drafted the manuscript. PN, TR, and BK critically revised the paper. All authors discussed the results and contributed to the final version of the article.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
Aires, L., Silva, P., Silva, G., Santos, M. P., Ribeiro, J. C., and Mota, J. (2010). Intensity of physical activity, cardiorespiratory fitness, and body mass index in youth. J. Phys. Act. Health 7, 54–59. doi: 10.1123/jpah.7.1.54
Armstrong, N., and Welsman, J. R. (1994). Assessment and interpretation of aerobic fitness in children and adolescents. Exerc. Sport Sci. Rev. 22, 435–476. doi: 10.1249/00003677-199401000-00016
Artero, E. G., España-Romero, V., Ortega, F. B., Jiménez-Pavón, D., Ruiz, J. R., Vicente-Rodríguez, G., et al. (2010). Health-related fitness in adolescents: underweight, and not only overweight, as an influencing factor. The AVENA study. Scand. J. Med. Sci. 20, 418–427. doi: 10.1111/j.1600-0838.2009.00959.x
Ayer, J., Charakida, M., Deanfield, J. E., and Celermajer, D. S. (2015). Lifetime risk: childhood obesity and cardiovascular risk. Eur. Heart J. 36, 1371–1376. doi: 10.1093/eurheartj/ehv089
Bailey, D. P., Savory, L. A., Denton, S. J., and Kerr, C. J. (2015). The association between cardiorespiratory fitness and cardiometabolic risk in children is mediated by abdominal adiposity: the HAPPY study. J. Phys. Act. Health 12, 1148–1152. doi: 10.1123/jpah.2014-0311
Cairney, J., Kwan, M. Y., Velduizen, S., Hay, J., Bray, S. R., and Faught, B. E. (2012). Gender, perceived competence and the enjoyment of physical education in children: a longitudinal examination. Int. J. Behav. Nutr. Phys. Act. 9:26. doi: 10.1186/1479-5868-9-26
Chinn, S., and Rona, R. J. (2001). Prevalence and trends in overweight and obesity in three cross sectional studies of British children, 1974-94. BMJ 322, 24–26. doi: 10.1136/bmj.322.7277.24
Chung, A. E., Skinner, A. C., Steiner, M. J., and Perrin, E. M. (2012). Physical activity and BMI in a nationally representative sample of children and adolescents. Clin. Pediatr. 51, 122–129. doi: 10.1177/0009922811417291
Clark, C. C., Barnes, C. M., Holton, M., Summers, H. D., and Stratton, G. (2016). Profiling movement quality and gait characteristics according to body-mass index in children (9–11 y). Hum. Mov. Sci. 49, 291–300. doi: 10.1016/j.humov.2016.08.003
Clark, C. C., Moran, J., Drury, B., Venetsanou, F., and Fernandes, J. (2018). Actual vs. perceived motor competence in children (8–10 years): an issue of non-veridicality. J. Funct. Morphol. Kinesiol. 3:20. doi: 10.3390/jfmk3020020
Cole, T. J., and Lobstein, T. (2012). Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr. Obes. 7, 284–294. doi: 10.1111/j.2047-6310.2012.00064.x
Decelis, A., Jago, R., and Fox, K. R. (2014). Objectively assessed physical activity and weight status in Maltese 11–12 year-olds. Eur. J. Sport Sci. 14(Supp. 1), 257–266. doi: 10.1080/17461391.2012.691113
Edwardson, C. L., Gorely, T., Pearson, N., and Atkin, A. (2013). Sources of activity-related social support and adolescents’ objectively measured after-school and weekend physical activity: gender and age differences. J. Phys. Act. Health 10, 1153–1158. doi: 10.1123/jpah.10.8.1153
Elgar, F. J., Roberts, C., Moore, L., and Tudor-Smith, C. (2005). Sedentary behaviour, physical activity and weight problems in adolescents in Wales. Public Health 119, 518–524. doi: 10.1016/j.puhe.2004.10.011
Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., and McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. J. Sports Sci. 26, 1557–1565. doi: 10.1080/02640410802334196
Fairclough, S. J., Dumuid, D., Taylor, S., Curry, W., McGrane, B., Stratton, G., et al. (2017). Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data. Int. J. Behav. Nutr. Phys. Act. 14:64. doi: 10.1186/s12966-017-0521-z
Ferreira, R. J., and Marques-Vidal, P. M. (2008). Prevalence and determinants of obesity in children in public schools of Sintra, Portugal. Obesity 16, 497–500. doi: 10.1038/oby.2007.74
Fuemmeler, B. F., Anderson, C. B., and Mâsse, L. C. (2011). Parent-child relationship of directly measured physical activity. Int. J. Behav. Nutr. Phys. Act. 8:17. doi: 10.1186/1479-5868-8-17
Gulías-González, R., Martínez-Vizcaíno, V., García-Prieto, J. C., Díez-Fernández, A., Olivas-Bravo, Á., and Sánchez-López, M. (2014). Excess of weight, but not underweight, is associated with poor physical fitness in children and adolescents from Castilla-La Mancha, Spain. Eur. J. Pediatr. 173, 727–735. doi: 10.1007/s00431-013-2233-y
Gutin, B., Yin, Z., Humphries, M. C., and Barbeau, P. (2005). Relations of moderate and vigorous physical activity to fitness and fatness in adolescents. Am. J. Clin. Nutr. 81, 746–750. doi: 10.1093/ajcn/81.4.746
Hesketh, K. R., Goodfellow, L., Ekelund, U., McMinn, A. M., Godfrey, K. M., Inskip, H. M., et al. (2014). Activity levels in mothers and their preschool children. Pediatrics 133, e973–e980. doi: 10.1542/peds.2013-3153
Higuera-Hernández, M. F., Reyes-Cuapio, E., Gutierrez-Mendoza, M., Rocha, N. B., Veras, A. B., Budde, H., et al. (2018). Fighting obesity: non-pharmacological interventions. Clin. Nutr. ESPEN 25, 50–55. doi: 10.1016/j.clnesp.2018.04.005
Hussey, J., Bell, C., Bennett, K., O’Dwyer, J., and Gormley, J. (2007). Relationship between the intensity of physical activity, inactivity, cardiorespiratory fitness and body composition in 7–10-year-old Dublin children. Br. J. Sports Med. 41, 311–316. doi: 10.1136/bjsm.2006.032045
Janssen, I., and LeBlanc, A. G. (2010). Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int. J. Behav. Nutr. Phys. Act. 7:40. doi: 10.1186/1479-5868-7-40
Jiménez-Pavón, D., Kelly, J., and Reilly, J. J. (2010). Associations between objectively measured habitual physical activity and adiposity in children and adolescents: systematic review. Int. J. Pediatr. Obes. 5, 3–18. doi: 10.3109/17477160903067601
Karppanen, A. K., Ahonen, S. M., Tammelin, T., Vanhala, M., and Korpelainen, R. (2012). Physical activity and fitness in 8-year-old overweight and normal weight children and their parents. Int. J. Circumpolar Health 71:17621. doi: 10.3402/ijch.v71i0.17621
Khodaverdi, Z., Bahram, A., Stodden, D., and Kazemnejad, A. (2016). The relationship between actual motor competence and physical activity in children: mediating roles of perceived motor competence and health-related physical fitness. J. Sports Sci. 34, 1523–1529. doi: 10.1080/02640414.2015.1122202
Leger, L. A., Mercier, D., Gadoury, C., and Lambert, J. (1988). The multistage 20 m shuttle run test for aerobic fitness. J. Sports Sci. 6, 93–101. doi: 10.1080/02640418808729800
Lohman, T. G., Roche, A. F., and Martorell, R. (1988). Anthropometric standardization reference manual. Champaign, IL: Human Kinetics.
Luz, C., Cordovil, R., Rodrigues, L. P., Gao, Z., Goodway, J. D., Sacko, R. S., et al. (2019). Motor competence and health-related fitness in children: a cross-cultural comparison between Portugal and the United States. J. Sport Health Sci. 8, 130–136. doi: 10.1016/j.jshs.2019.01.005
Martinez-Gomez, D., Ortega, F. B., Ruiz, J. R., Vicente-Rodriguez, G., Veiga, O. L., Widhalm, K., et al. (2011). Excessive sedentary time and low cardiorespiratory fitness in European adolescents: the HELENA study. Arch. Dis. Child. 96, 240–246. doi: 10.1136/adc.2010.187161
McCrindle, B. W. (2015). Cardiovascular consequences of childhood obesity. Can. J. Cardiol. 31, 124–130. doi: 10.1016/j.cjca.2014.08.017
Migueles, J. H., Cadenas-Sanchez, C., Ekelund, U., Nyström, C. D., Mora-Gonzalez, J., Löf, M., et al. (2017). Accelerometer data collection and processing criteria to assess physical activity and other outcomes: a systematic review and practical considerations. Sports Med. 47, 1821–1845. doi: 10.1007/s40279-017-0716-0
Niederer, I., Kriemler, S., Zahner, L., Bürgi, F., Ebenegger, V., Marques-Vidal, P., et al. (2012). BMI group-related differences in physical fitness and physical activity in preschool-age children: a cross-sectional analysis. Res. Q. Exerc. Sport 83, 12–19. doi: 10.1080/02701367.2012.10599820
Østbye, T., Malhotra, R., Stroo, M., Lovelady, C., Brouwer, R., Zucker, N., et al. (2013). The effect of the home environment on physical activity and dietary intake in preschool children. Int. J. Obes. 37, 1314–1321. doi: 10.1038/ijo.2013.76
Page, A., Cooper, A. R., Stamatakis, E., Foster, L. J., Crowne, E. C., Sabin, M., et al. (2005). Physical activity patterns in nonobese and obese children assessed using minute-by-minute accelerometry. Int. J. Obes. 29, 1070–1076. doi: 10.1038/sj.ijo.0802993
Pate, R. R., Almeida, M. J., McIver, K. L., Pfeiffer, K. A., and Dowda, M. (2006). Validation and calibration of an accelerometer in preschool children. Obesity 14, 2000–2006. doi: 10.1038/oby.2006.234
Pate, R. R., O’Neill, J. R., Liese, A. D., Janz, K. F., Granberg, E. M., Colabianchi, N., et al. (2013). Factors associated with development of excessive fatness in children and adolescents: a review of prospective studies. Obes. Rev. 14, 645–658. doi: 10.1111/obr.12035
Pereira, S. A., Seabra, A. T., Silva, R. G., Katzmarzyk, P. T., Beunen, G. P., and Maia, J. A. (2010). Prevalence of overweight, obesity and physical activity levels in children from Azores Islands. Ann. Hum. Biol. 37, 682–691. doi: 10.3109/03014461003639223
Ridgers, N. D., Graves, L. E., Foweather, L., and Stratton, G. (2010). Examining influences on boy’s and girls’ physical activity patterns: the A-CLASS project. Pediatr. Exerc. Sci. 22, 638–650. doi: 10.1123/pes.22.4.638
Ridgers, N. D., Timperio, A., Cerin, E., and Salmon, J. O. (2014). Compensation of physical activity and sedentary time in primary school children. Med. Sci. Sports Exerc. 46, 1564–1569. doi: 10.1249/MSS.0000000000000275
Robinson, L. E., Stodden, D. F., Barnett, L. M., Lopes, V. P., Logan, S. W., Rodrigues, L. P., et al. (2015). Motor competence and its effect on positive developmental trajectories of health. Sports Med. 45, 1273–1284. doi: 10.1007/s40279-015-0351-6
Ross, S. E., Flynn, J. I., and Pate, R. R. (2016). What is really causing the obesity epidemic? A review of reviews in children and adults. J. Sports Sci. 34, 1148–1153. doi: 10.1080/02640414.2015.1093650
Ruiz, J. R., Huybrechts, I., Cuenca-García, M., Artero, E. G., Labayen, I., Meirhaeghe, A., et al. (2015). Cardiorespiratory fitness and ideal cardiovascular health in European adolescents. Heart 101, 766–773. doi: 10.1136/heartjnl-2014-306750
Ruiz, J. R., Rizzo, N. S., Hurtig-Wennlöf, A., Ortega, F. B., Wàrnberg, J., and Sjöström, M. (2006). Relations of total physical activity and intensity to fitness and fatness in children: the European youth heart study. Am. J. Clin. Nutr. 84, 299–303. doi: 10.1093/ajcn/84.2.299
Santos, R., Mota, J., Okely, A. D., Pratt, M., Moreira, C., Coelho-e-Silva, M. J., et al. (2014). The independent associations of sedentary behaviour and physical activity on cardiorespiratory fitness. Br. J. Sports Med. 48, 1508–1512. doi: 10.1136/bjsports-2012-091610
Skinner, A. C., Ravanbakht, S. N., Skelton, J. A., Perrin, E. M., and Armstrong, S. C. (2018). Prevalence of obesity and severe obesity in US children, 1999–2016. Pediatrics 141:e20173459.
Slyper, A. H. (2004). The pediatric obesity epidemic: causes and controversies. J. Clin. Endocrinol. Metab. 89, 2540–2547. doi: 10.1210/jc.2003-031449
Stratton, G., Ridgers, N. D., Fairclough, S. J., and Richardson, D. J. (2007). Physical activity levels of normal-weight and overweight girls and boys during primary school recess. Obesity 15, 1513–1519. doi: 10.1038/oby.2007.179
Trost, S. G., Loprinzi, P. D., Moore, R., and Pfeiffer, K. A. (2011). Comparison of accelerometer cut points for predicting activity intensity in youth. Med. Sci. Sports Exerc. 43, 1360–1368. doi: 10.1249/MSS.0b013e318206476e
Tudor-Locke, C., Barreira, T. V., Schuna, J. M., Mire, E. F., Chaput, J. P., Fogelholm, M., et al. (2015). Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the international study of childhood obesity, lifestyle and the environment (ISCOLE). Int. J. Behav. Nutr. Phys. Act. 12:11. doi: 10.1186/s12966-015-0172-x
Utesch, T., Dreiskämper, D., Naul, R., and Geukes, K. (2018). Understanding physical (in-) activity, overweight, and obesity in childhood: effects of congruence between physical self-concept and motor competence. Sci. Rep. 8:5908. doi: 10.1038/s41598-018-24139-y
Wickel, E. E., Eisenmann, J. C., and Welk, G. J. (2009). Maturity-related variation in moderate-to-vigorous physical activity among 9–14 year olds. J. Phys. Act. Health 6, 597–605. doi: 10.1123/jpah.6.5.597
World Health Organization (2010). Global recommendations on physical activity for health. (Accessed June 21, 2019). Available at: https://apps.who.int/iris/bitstream/handle/10665/44399/9789241599979_eng.pdf;jsessionid=D73A4BCD72A9FC2DFF474D61193B636D?sequence=1
Keywords: physical activity, adiposity, cardiovascular fitness, accelerometry, BMI
Citation: Söğüt M, Clemente FM, Clark CCT, Nikolaidis PT, Rosemann T and Knechtle B (2019) Variations in Central Adiposity, Cardiovascular Fitness, and Objectively Measured Physical Activity According to Weight Status in Children (9–11 Years). Front. Physiol. 10:936. doi: 10.3389/fphys.2019.00936
Edited by:
Hassane Zouhal, University of Rennes 2, FranceReviewed by:
Luis Manuel Rama, University of Coimbra, PortugalOlivier Gavarry, Université de Toulon, France
Copyright © 2019 Söğüt, Clemente, Clark, Nikolaidis, Rosemann and Knechtle. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Beat Knechtle, YmVhdC5rbmVjaHRsZUBoaXNwZWVkLmNo