Logo of jhpnLink to Publisher's site
J Health Popul Nutr. 2011 Feb; 29(1): 53–60.
PMCID: PMC3075053

Correlation between Fitness and Fatness in 6-14-year Old Serbian School Children


Lack of physical activity and/or physical fitness are some reasons epidemiologists suggest for increase in childhood obesity in the last 20 years, with clear correlation between body composition and physical activity and/or physical fitness yet to be determined. The objectives of the study were to (a) investigate the prevalence of overweight and obesity among Serbian school children and (b) determine the relationship between indicators of physical activity and body fatness in Serbian school children aged 6-14 years. The study subjects included a representative sample of Serbian elementary school children (n=1, 121—754 boys and 367 girls—aged 6.2-14.1 years), all of whom were recruited in the OLIMP (Obesity and Physical Activity among Serbian School Children) study. Anthropometric and physical fitness values, including body mass index (BMI), waist-circumference, body-fat, and aerobic capacity, were measured in all the children. Significant differences were found between male and female children regarding the prevalence of obesity (6.8% vs 8.2%, p<0.05, boys and girls respectively). Boys had significantly lower body mass, BMI, waist-circumference, sum of six skinfolds, and body-fat compared to their female counterparts (p<0.05). The highest level of weight, BMI, body-fat, and waist-circumference observed in a 14-year old girl (96.3 kg, 40.5 kg/m2, 54.5%, 91.4 cm respectively) implies the existence of extreme obesity in Serbian school children. The negative relationship between body-fat and maximal oxygen (VO2max) uptake was moderately high (r=-0.76; p<0.05). The study has shown a high prevalence of adiposity among Serbian school children, with a strong negative relationship between aerobic fitness and body fatness. Data of the study emphasize the necessity to identify children with weight problems and to develop early interventions to improve physical activity in children and prevent the increase of childhood obesity.

Key words: Body-fat, Cross-sectional studies, Fitness, Girls, Obesity, Serbia


The prevalence of childhood obesity has been increasing dramatically worldwide, particularly in the last two decades (13). Although the prevalence of overweight and obesity varies quite substantially across ethnic groups and gender, numerous studies have shown alarmingly high levels of being fat among children. Estimates in several studies indicate that one in four children aged 6-14 years is presently overweight in developed and developing countries (4, 5), which ranges from 11% to 39% (69). The prevalence of overweight and obesity was found similar (9) or significantly different (10) between genders, with difference found in studies that reported higher prevalence of overweight and obesity in either girls (1113) or boys (14). It is unclear what cultural, lifestyle, genetic, or environmental factors may explain these differences (15). The level of prevalence varies substantially with geographical region in European school children and is reported to be as high as 27.7% and 28% for boys and girls of the Eastern region respectively (16). To the best of our knowledge, to date, no published data are available regarding the prevalence rates of overweight and obesity for Serbian school children.

Lack of physical activity and/or physical fitness and excessive calorie consumption are some reasons epidemiologists suggest for the increase of obesity in the last 20 years (4, 17). The low level of physical activity and health-related physical fitness, represented by cardiorespiratory (aerobic) endurance, seems to contribute to the development of obesity, type 2 diabetes, hypercholesterolaemia, hypertension, the metabolic syndrome, cardiovascular diseases, and all-cause mortality in both adults and children (1820). Since the habitual levels of physical activity are closely related to cardiorespiratory fitness, submaximal and maximal exercise testing has become frequently-used indirect physical acti-vity-assessment methods. Results of several studies showed that overweight subjects performed more poorly on cardiorespiratory fitness tests than their thinner counterparts, with low to moderately-high inverse correlations found between cardiorespiratory fitness and adiposity (10, 21, 22).

Although it would appear plausible to assume that the higher level of physical fitness in children results in a more favourable body-composition, data that permit examination of relationship between aerobic fitness and body-fatness in youths are limited and considered controversial (23, 24). Moreover, little is known about the relationship between physical fitness and different body-fatness indicators besides body mass index (BMI), such as waist-circumference or percentage of body-fat, in children. To the best of our knowledge, no data are available examining interdependence between obesity and physical activi-ty indicators in Serbian school children. Therefore, the study was carried out to (a) investigate the prevalence of overweight and obesity among Serbian school children and (b) determine the relationship between physical activity and body-fatness indicators in Serbian school children aged 6-14 years.


Study subjects

The evaluation was performed during September 2007–May 2008 among 1,121 healthy school children of the elementary school programme. Stratified (geographically) random sampling was used in this cross-sectional study. Ten schools were identified from the Department of Education and were randomly selected from the Belgrade borough area of Zvezdara on a proportional basis. Principals of the schools were contacted with the aims of the study explained to both physical education teachers and school administrators. Once a school had agreed to participate in the study, letters to parents were distributed. They completed a sports participation and medical history questionnaire and were informed that they could withdraw from the study at any time, even after giving their written consent. Children with conditions that might have led to limitations in physical activity and mobility were excluded. All the participants were in good health, free from musculoskeletal dysfunctions, and metabolic and heart diseases. None of the subjects was on the medication at the time of the study.

Experiment design

Each child underwent a one-day testing session. During this session, anthropometric assessment and physical fitness test were carried out. Height was measured using a stadiometer (Seca 202, USA) to the nearest 0.1 cm while body mass was obtained to the nearest 0.1 kg using a calibrated balance beam scale (Avery Ltd, Model 3306 ABV, UK). The subjects were measured with underwear only, in the same state of hydration and nourishment after voiding. All anthropometric measurements were taken between 9 and 11 am after an overnight fasting between 10 and 12 hours. BMI was calculated as weight (kg)/height (m)2. Children were considered overweight or obese based on age-specific BMI reference guidelines (Table 1) (25, 26). Waist-circumference was measured using a Gulick anthropometric tape (Creative Health Products, Plymouth, USA) at the level of the narrowest point between the lower costal border and the iliac crest. Skinfold thickness at six sites was obtained using a Harpenden caliper (British Indicators Ltd., St. Albans, UK). The skinfold sites were biceps, triceps, subscapular, suprailiac, abdominal, and medium calf. The landmarks were identified and measured according to Wilmore and Behnke, with the median of three measurements used for representing skinfold thickness (27). The percentage of body-fat was determined according to age- and gender-specific equations (girls, percentage of body-fat=0.610·(triceps skinfold [mm]+calf skinfold [mm])+5.1; boys, percentage of body-fat=0.735·(triceps skinfold [mm]+calf skinfold [mm])+1.0) (28). The same trained technician performed tests on each subject for anthropometric measurements according to the International Society for the Advancement of Kinathropometry. Aerobic fitness was determined using maximal multistage 20-m shuttle-run test (29). Subjects were required to run back and forth on a 20-m course and be on the 20-m line at the same time a beep is emitted from a tape. The frequency of sound-signals increased in such a way that running speed starts at 8.5 km/h and was increased by 0.5 km/h each minute. When the subjects could no longer follow the pace, the stage the subjects were able to run for was recorded and used for calculating the maximal oxygen (VO2max) uptake. This test has shown to be valid and reliable for the prediction of the VO2max in children (30).

Table 1.
Reference guidelines for detection of overweight and obesity according to body mass index for-age status categories in children

Statistical analysis

Descriptive statistics were run on all the variables. Statistical significance between continuous variables was assessed using unpaired Student's t-test, with p values of less than 0.05 considered statistically significant. Categorical data were evaluated using chi-square (χ2) analysis. The relationship between body-fat, BMI, and waist-circumference and VO2max was examined using Pearson's product-moment correlation coefficient. Data were analyzed using the SPSS, PC program (version 14.0) (SPSS Inc., USA).


All the participants and parents were fully informed verbally and in writing about the nature and demands of the study. All the subjects and parents gave their informed consent and volunteered to participate in the study with the approval of the University's Ethical Advisory Commission in accordance with the Helsinki Declaration.


The prevalence of overweight was 32% and did not vary among the girls and boys (32.2% and 31.5% respectively) (Fig. 1). Significant differences were observed between male and female children regarding the prevalence of obesity (6.8% vs 8.2%, p<0.05, boys and girls respectively). The mean values for anthropometric and physiological data are shown in Table 2. Both boys and girls had comparable age and height. Boys showed significantly lower body-mass, BMI, waist-circumference, sum of six skinfolds, and body-fat compared to their female counterparts (p<0.05). Moreover, boys attained better performance in multistage fitness test and had, therefore, higher VO2max (p<0.05). The highest level of weight, BMI, body-fat, and waist-circumference observed in a 14-year old girl (96.3 kg, 40.5 kg/m2, 54.5%, and 91.4 cm respectively) implies the existence of extreme obesity in Serbian school children. The relationship between body-fat and VO2max is illustrated in Figure 2. The correlation coefficient was moderately high (r=-0.76; p<0.05). There was significant inverse correlation between waist-circumference and VO2max (r=-0.43; p<0.05), with insignificant correlation between BMI and VO2max (r=-0.09; p>0.05).

Fig. 1.
Percentage of overweight and obese subjects
Fig. 2.
Relationship between body-fat and maximal oxygen uptake (n=1,121)
Table 2.
Characteristics (mean±SD) of the study subjects by gender


The data of the present study clearly demonstrated that a strong negative correlation existed between aerobic fitness and body-fat in Serbian school children aged 6-14 years. The data also demonstrated a high prevalence of both overweight and obese children (39%); the prevalence of overweight was similar among boys and girls. Moreover, girls had inferior cardiorespiratory fitness compared to their male counterparts.

The prevalence of obesity (6.8-8.2%) among the study children did not differ from other national studies in a similar age-group. The prevalence of obesity in children and youths was 8.2% in Aboriginal and non-Aboriginal Canadians (31). Vissers et al. reported 7.5% prevalence of obesity in Belgian adolescents, with different prevalence of overweight and obesity among subjects with different types of education (32). The prevalence of obesity among children from Spain was 5-8% (10) while it was 7.9% among boys and 4.7% among girls in Qatari adolescents (33).

Childhood obesity is becoming a global epidemic and is threatening to have reached epidemic proportions in Serbia. When children who were obese and overweight by BMI criteria were considered together, more alarming data generated as higher values of overweight and obese children found (39%) were superior compared to other national studies. About 33% of Baltimore school children were overweight and obese based on the age-specific BMI reference values (34). The prevalence of overweight, including obesity, was higher among boys (25.7%) than among girls (19.1%) in the representative sample of Spanish adolescents (n=2,859) (35). Al-Nakeeb et al. indicated that over 37% of boys and girls from Birmingham fell into overweight and obese classifications, with one (22%) in five children having more than 30% body-fat (12). Furthermore, the obese group was almost girl-exclusive (90%). The authors reported that 71% of children had a percentage of body-fat in excess of 20%, which is recognized as the upper end of the optimal range for this age-group. Like previous research, data in the present study indicate that the prevalence of overweight is similar among boys and girls. Girls tend to have a higher prevalence of obesity than boys (8.2% vs 6.8% respectively). Other indices of adiposity, including skinfolds, waist-circumference, and percentage of body-fat, provided rates of preva-lence of overweight and obesity similar to those obtained with age-specific BMI classification. The sex difference in the prevalence of obesity may be related to maturation, growth history, and behavioural and environmental factors, which limits our interpretation and requires more investigation. An interesting gender difference was suggested considering sexual maturation, with early sexual maturation positively associated with overweight and obesity in girls but the associations were reverse for boys (36). In addition, the primary behavioural and environmental factors are food-consumption patterns, sedentary behaviour, socioeconomic status, and micro- (family) and macro- (local society) environment (4). The gradual increase in body-weight that leads to obesity is the consequence of a prolonged positive energy balance, i.e. when energy intake exceeds energy loss. There are many factors that can influence energy balance and, therefore, be identified as contributors to the current obesity epidemic in children, with biological, behavioural, environmental, and social being most cited (37). Although relative contribution of energy intake versus energy loss to the obesity epidemic is a source of continuing debate, available data clearly indicate that physical activity plays an integral role in the prevention of obesity (17, 18, 23). Obese children are at an increased risk of acute medical illnesses and chronic diseases, particularly osteoarthritis, diabetes mellitus, and cardiovascular diseases, which can lead to the poor quality of life, an increased personal and financial burden to individuals, families, and society, and a shortened lifespan (38).

The average VO2max for children assessed in the present study (32, 9 mL/kg/min) was lower than previously reported. Studies using procedures for direct measurement of VO2max have recorded values between 34 and 58 mL/kg/min for children aged 8-12 years (3941), with boys having a higher value of VO2max than girls. Using the testing protocol similar to the present study, Leger and co-workers reported aerobic capacity from 38 to 52 mL/kg/min for children aged 6-18 years (42). Such discrepancy is likely to be the result of differences in body-composition and level of physical activity, which induce well-established secular trend of decline in aerobic capacity among children (43). The gender differences in VO2max found in our study (34.1±12.4 vs 30.4±9.6 for boys and girls respectively) is in accordance with previous studies. Aerobic capacity is consistently greater in boys throughout childhood, with the gender gap widening at the puberty (44). The observed difference has been ascribed to a combination of factors, including body-composition and cardiac size and function (45).

Regular physical activity plays an important role in the maintenance of body-weight and composition and in the regulation of skeletal muscle and adipose tissue metabolism. Several investigators reported an association between physical activity and body-composition in children (5, 10, 12, 35, 37, 46). Precise assessment of habitual physical activity is critical for accurate descriptive epidemiology of the physical activity-obesity relationship for designing appropriate interventions aimed at modifying body-composition and related risk factors and for promoting change in lifestyles (38). However, since physical activity is complex, multidimensional behaviour and precise measurement remain a challenge for practitioners, researchers, and healthcare providers, especially among children.

Self-reported physical activity questionnaire and physiological measures of fitness (direct and indirect assessments of VO2max), with several objective techniques, such as heart rate monitors, pedometers, and accelerometers, have been used extensively for the measurement of physical activity in children (47). Although objective techniques are a superior tool for the assessment of physical activity, they are often impractical and time-consuming, thus implying that indirect assessment of physical activity could be more appropriate in studies with a large sample. Moreover, study of aerobic fitness and body-fat is probably a more valid approach than measurement of self-reported physical activity and body-weight, particularly in children (48, 49).

It has been reported that overweight and obese children showed a lower physical fitness (cardiores-piratory endurance) than normal children (50, 51). However, studies analyzing an association between cardiorespiratory fitness and different measures of body-composition in this population are scarce. Our results showed a strong inverse relationship (r=-0.76) between aerobic fitness and percentage of body-fat in both boys and girls. The results in terms of other anthropometrical variables showed both significant (with waist-circumference) and insignificant (with BMI) relationship with cardiorespiratory fitness, which has also been reported earlier in children and adolescents (46, 48). Klasson-Heggebo et al. found a curvilinear-graded relationship between cardiorespiratory fitness and waist-circumference and sum of skinfolds in 4,072 children and adolescents aged 9 and 15 years respectively, from Denmark, Portugal, Estonia, and Norway, with abundant data showing a significant inverse relationship between physical activity level and body-fat percentage (50). Hence, it is not surprising that people who have sedentary lifestyles also have low levels of fitness and excessive body-fat (48). Given that this study was cross-sectional in design, cause-and-effect conclusions are not warranted. However, it appears that the goal of favourably altering adiposity in children should begin with increasing physical activity and fitness, which, in turn, will lead to reductions in body-fat. Moreover, children who improve their cardiorespiratory fitness during childhood have less overall adiposity and less abdominal adiposity than their counterparts during adolescence and adulthood (3). Participation in vigorous physical activities has been shown to relate inversely to fat deposition in both children and adults (5, 18, 38, 52). Due to the fact that BMI poorly correlates with aerobic fitness, other indicators of adiposity (body-fat, waist-circumference) rather than weight has been shown to be associated with cardiorespiratory fitness (19, 37). Several investigators provided evidence that a combination of simple measures, such as triceps and calf skinfolds, waist-circumference, and perhaps fitness, should be used in clinical settings to identify children with high risk of obesity (49, 51, 53).

Our results suggest that cardiorespiratory fitness as an indicator of physical activity is linked to the increased level of adiposity in children. Inactivi-ty is only one of the factors interconnected with obesity; however, it is perhaps one of the easiest to modify (37). Considering that physical education is the only source of regular physical activity for many children (54), improvement in physical education class may be prudent. The main aim of such classes should be to engage children in health-providing physical activity levels in contrast to the present curriculum design for movement skills development. Moreover, it has been proved that physical education can have an important role in promoting participation of children in extra-curricular health-enhancing physical activity (55, 56). Guidelines for physical activity in youths recommend involvement in moderate to vigorous physical activities for at least 60 minutes a day for health promotion and from a weight-control perspective (18). According to the results of the present study and the fact that Serbian academic curriculum includes only 90-minute physical activity per week, initiatives should be put forward to promote physical activity in Serbian children in both school and out-of-school environment.


A clear understanding of the relationship between physical activity and/or physical fitness and body-composition in children in the present study may not be possible due to several limitations. Despite the value of endurance test for indirect measurement of physical activity in children, it has been stated that more accurate measures of physical activity are required to determine if an association truly exists between activity level of children and their aerobic fitness on obesity (52). Moreover, the analysis of fitness-fatness association will be further improved with adjustment for pubertal development factors, which requires further investigation. The need for parental agreement and consent might have also lead to bias, with those parents more committed to physical activity agreeing to participation of their children (51). Finally, it can be said that BMI is a relatively weak substitute for measuring the percentage of body-fat and, thereby, obesity (37). Combination of BMI with body-fat and physical fitness needs to be used for establishing a more relevant standard definition for childhood overweight and obesity worldwide (53).


The results of the present study showed that body-fat and waist-circumference negatively correlated with aerobic fitness, suggesting that children who have high cardiorespiratory fitness during childhood have less overall adiposity and less abdominal adiposity than their unfit counterparts. Furthermore, the prevalence of overweight and obesity in Serbian school children was high, with girls having higher obesity rates than boys. Although there are many factors that can contribute to obesity among children, this study emphasizes the necessity to develop interventions to improve physical fitness in children and to prevent the increase of childhood obesity.


The Serbian Ministry of Science supported the study (Grant No. 145082). The authors declare no conflict of interest.


1. Ogden CL, Flegal KM, Carroll MD, Johnson CL. Prevalence and trends in overweight among US children and adolescents, 1999–2000. JAMA. 2002;288:1728–32. [PubMed]
2. Hedley AA, Ogden CL, Johnson CL, Carroll MD, Curtin LR, Flegal KM. Prevalence of overweight and obesity among US children, adolescents, and adults, 1999–2002. JAMA. 2004;291:2847–50. [PubMed]
3. Tjepkema M. Adult obesity. Health Rep. 2006;17:9–25. [PubMed]
4. Lobstein T, Baur L, Uauy R. Obesity in children and young people: a crisis in public health. Obes Rev. 2004;5:S4–85. [PubMed]
5. Brunnet M, Chaput J-P, Tremblay A. The association between low physical fitness and high body mass index or waist circumference is increasing with age in children: the ‘Quebec en Forme’ Project. Int J Obes. 2007;31:637–43. [PubMed]
6. Kotani K, Nishida M, Yamashita S, Funahashi T, Fujioka S, Tokunaga K, et al. Two decades of annual medical examinations in Japanese obese children: do obese children grow into obese adults? Int J Obes. 1997;21:912–21. [PubMed]
7. Wang Y, Monteiro C, Popkin BM. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia. Am J Clin Nutr. 2002;75:971–7. [PubMed]
8. Manios Y, Moschandreas J, Hatzis C, Kafatos A. Health and nutrition education in primary schools of Crete: changes in chronic disease risk factors following a 6-year intervention programme. Br J Nutr. 2002;88:315–24. [PubMed]
9. Kain J, Uauy R, Vio F, Albala C. Trends in overweight and obesity prevalence in Chilean children: comparison of three definitions. Eur J Clin Nutr. 2002;56:200–4. [PubMed]
10. Ara I, Moreno LA, Leiva MT, Gutin B, Casajús A. Adiposity, physical activity, and physical fitness among children from Aragon, Spain. Obesity. 2007;15:1918–24. [PubMed]
11. National Center for Health Statistics Overweight among US children and adolescents. NHANES Data Briefs. 2002:1–2.
12. Al-Nakeeb Y, Duncan MJ, Lyons M, Woodfield L. Body fatness and physical activity levels of young children. Ann Hum Biol. 2007;34:1–12. [PubMed]
13. Tremblay MS, Katzmarzyk PT, Willms JD. Temporal trends in overweight and obesity in Canada, 1981–1996. Int J Obes. 2002;26:538–43. [PubMed]
14. Krassas GE, Tzotzas T, Tsametis C, Konstantinidis T. Prevalence and trends in overweight and obesity among children and adolescents in Thessaloniki, Greece. J Pediatr Endocrinol Metab. 2001;14:S1319–26. [PubMed]
15. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320:1240–3. [PMC free article] [PubMed]
16. Jackson-Leach R, Lobstein T. Estimated burden of paediatric obesity and co-morbidities in Europe. Part 1. The increase in the prevalence of child obesity in Europe is itself increasing. Int J Ped Obes. 2006;1:26–32. [PubMed]
17. Roberts SB, Lucas A, Hirsch J. Low energy expenditure as a contributor to infant obesity. Am J Clin Nutr. 2000;71:154–6. [PubMed]
18. Molnar D, Livingstone B. Physical activity in relation to overweight and obesity in children and adolescents. Eur J Pediatr. 2000;159:S45–5. [PubMed]
19. Ross R, Kartzmarzyk PT. Cardiovascular fitness is associated with diminshed total and abdominal obesity independent of body mass index. Int J Obes Realt Metab Disord. 2003;27:204–10. [PubMed]
20. Wong SL, Katzmarzyk P, Nichaman MZ, Church TS, Blair SN, Ross R. Cardiorespiratory fitness is associated with lower abdominal fat independent of body mass index. Med Sci Sports Exerc. 2004;36:286–91. [PubMed]
21. Winsley JR, Armstrong N, Midlebrooke RA, Ramos-Ibanez N, Williams CA. Aerobic fitness and visceral adipose tissue in children. Acta Pædiat. 2006;95:1435–8. [PubMed]
22. Lee SJ, Arslanian SA. Cardiorespiratory fitness and abdominal adiposity in Youth. Eur J Clin Nutr. 2007;61:561–5. [PubMed]
23. Goran MI, Reynolds KD, Lindquist CH. Role of physical activity in the prevention of obesity in children. Int J Obes. Relat Metab Disord. 1999;23:S18–33. [PubMed]
24. Molnar D, Livingstone B. Physical activity in relation to overweight and obesity in children and adolescents. Eur J Pediatr. 2000;159:S45–5. [PubMed]
25. Kiess W, Galler A, Reich A, Müller G, Kapellen T, Deutscher J, et al. Clinical aspects of obesity in childhood and adolescence. Obes Rev. 2001;2:29–36. [PubMed]
26. Flodmark CE, Lissau I, Moreno LA, Pietrobelli A, Widhalm K. New insights into the field of children and adolescents’ obesity: the European perspective. Int J Obes Relat Metab Disord. 2004;28:1189–96. [PubMed]
27. Wilmore JH, Behnke AR. An anthropometric estimation of body density and lean body weight in young men. J Appl Physiol. 1969;27:25–31. [PubMed]
28. Slaughter MH, Lohman TG, Boileau RA, Horswill CA, Stillman RJ, Van Loan MD, et al. Skinfold equations for estimation of body fatness in children and youth. Hum Biol. 1988;60:709–23. [PubMed]
29. Leger LA, Lambert J. A maximal multistage 20-m shuttle run test to predict VO2 max. Eur J Appl Physiol. 1982;49:1–12. [PubMed]
30. van Mechelen W, Hlobil H, Kemper HC. Validation of two running tests as estimates of maximal aerobic power in children. Eur J Appl Physiol Occup Physiol. 1986;55:503–6. [PubMed]
31. Katzmarzyk PT. Obesity and physical activity among Aboriginal Canadians. Obesity. 2008;16:184–90. [PubMed]
32. Vissers D, Devoogdt N, Gebruers N, Mertens I, Van Gaal Truijen L. Overweight in adolescents: differences per type of education. Does one size fit all? J Nutr Educ Behav. 2008;40:65–71. [PubMed]
33. Bener A. Prevalence of obesity, overweight, and underweight in Qatari adolescents. Food Nutr Bull. 2006;27:39–45. [PubMed]
34. Jehn ML, Gittelsohn J, Treuth MS, Caballero B. Prevalence of overweight among Baltimore city schoolchildren and its associations with nutrition and physical activity. Obesity. 2006;14:989–93. [PubMed]
35. Ortega FB, Tresaco B, Ruiz JR, Moreno LA, Martin-Matillas M, Mesa JL, et al. Cardiorespiratory fitness and sedentary activities are associated with adiposity in adolescents. Obesity. 2007;15:1589–99. [PubMed]
36. Wang Y. Is obesity associated with early sexual maturation? A comparison of the association in American boys versus girls. Pediatrics. 2002;110:902–9. [PubMed]
37. Rowlands AV, Eston RG, Ingledew DK. Relationship between activity level, aerobic fitness, and body fat in 8- to 10-yr-old children. J Appl Physiol. 1999;86:1428–35. [PubMed]
38. Dugan SA. Exercise for preventing childhood obesity. Phys Med Rehabil Clin N Am. 2008;19:205–16. [PubMed]
39. Cooper DM, Weiler-Ravell D, Whipp BJ, Wasserman K. Aerobic parameters of exercise as a function of body size during growth in children. J Appl Physiol. 1984;561:628–34. [PubMed]
40. Washington RL, von Gundy JC, Cohen C, Sondheimer HM, Wolfe RR. Normal aerobic and anaerobic exercise data for North American school-age children. J Pediatr. 1988;112:223–33. [PubMed]
41. Duncan GE, Mahon AD, Howe CA, Corral PD. Plateau in oxygen uptake at maximal exercise in male children. Pediatr Exerc Sci. 1996;8:77–86.
42. Leger LA, Mercier D, Gadoury C, Lambert J. The multistage 20-meter shuttle run test for aerobic fitness. J Sports Sci. 1988;6:93–101. [PubMed]
43. Tomkinson GR, Léger LA, Olds TS, Cazorla G. Secular trends in the performance of children and adolescents (1980–2000): an analysis of 55 studies of the 20 m shuttle run in 11 countries. Sports Med. 2003;33:285–300. [PubMed]
44. Krahenbuhl GS, Skinner JS, Kohrt WM. Developmental aspects of maximal aerobic power in children. Exerc Sport Sci Rev. 1985;13:503–38. [PubMed]
45. Rowland T, Goff D, Martel L, Ferrone L. Influence of cardiac functional capacity on gender differences in maximal oxygen uptake in children. Chest. 2000;117:629–35. [PubMed]
46. Ekelund U, Poortvliet E, Nilsson A, Yngve A, Michael A, Sjöström M. Physical activity in relation to aerobic fitness and body fat in 14- to 15-year-old boys and girls. Eur J Appl Physiol. 2001;85:195–201. [PubMed]
47. Sirard RJ, Russell RP. Physical activity assessment in children and adolescents. Sports Med. 2001;31:439–54. [PubMed]
48. Hager RL, Tucker LA, Seljaas GT. Aerobic fitness, blood lipids, and body fat in children. Am J Public Health. 1995;85:1702–6. [PMC free article] [PubMed]
49. Janssen I, Katzmarzyk PT, Srinivasan SR, Chen W, Malina R, Bouchard C, et al. Combined influence of body mass index and waist circumference on coronary artery disease risk factors among children and adolescents. Pediatrics. 2005;115:1623–30. [PubMed]
50. Klasson-Heggebo L, Andersen LB, Wennlof AH, Sardinha L B, Harro M, Froberg K, et al. Graded associations between cardiorespiratory fitness, fatness, and blood pressure in children and adolescents. Br J Sports Med. 2006;40:25–9. [PMC free article] [PubMed]
51. Hussey J, Bell C, Bennett K, O'Dwyer J, Gormley J. Relationship between the intensity of physical activity, inactivity, cardiorespiratory fitness and body composition in 7–10-year-old Dublin children. Br J Sports Med. 2007;41:311–6. [PMC free article] [PubMed]
52. Grundy SM, Blackburn G, Higgins M, Lauer R, Perri MG, Ryan D. Physical activity in the prevention and treatment of obesity and its comorbidities. Med Sci Sports Exerc. 1999;31:502–8. [PubMed]
53. Chen W, Lin CC, Peng CT, Li CI, Wu HC, Chiang J, et al. Approaching healthy body mass index norms for children and adolescents from health-related physical fitness. Obes Rev. 2002;3:225–32. [PubMed]
54. Riddoch C, Savage JM, Murphy N, Cran GW, Boreham C. Long term health implications of fitness and physical activity patterns. Arch Dis Child. 1991;66:1426–33. [PMC free article] [PubMed]
55. McKenzie TL, Li D, Derby C, Webber LS, Luepker RV, Cribb P. Maintenance of effects of the CATCH physical education program: results from the CATCH-ON study. Health Educ Behav. 2003;30:447–62. [PubMed]
56. McKenzie TL, Sallis JF, Kolody B, Faucette F. Long term effects of a physical education curriculum and staff development program: SPARK. Res Q Exerc Sport. 1997;68:280–91. [PubMed]

Articles from Journal of Health, Population, and Nutrition are provided here courtesy of International Centre for Diarrhoeal Disease Research, Bangladesh
PubReader format: click here to try


Save items

Related citations in PubMed

See reviews...See all...

Cited by other articles in PMC

See all...


  • PubMed
    PubMed citations for these articles

Recent Activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...