Open access peer-reviewed chapter - ONLINE FIRST

Physical Fitness in Children during Growth: Associations with Body Composition, Physical Activity, and Cognitive Skills

Written By

Kirkke Reisberg, Eva-Maria Riso and Jaak Jürimäe

Submitted: 20 June 2023 Reviewed: 08 September 2023 Published: 11 December 2023

DOI: 10.5772/intechopen.1003787

Updates on Physical Fitness in Children IntechOpen
Updates on Physical Fitness in Children Edited by Alesandra Souza

From the Edited Volume

Updates on Physical Fitness in Children [Working Title]

Alesandra Araújo de Souza, Anastácio Souza-Filho, Thaynã Alves Bezerra and Sanderson Soares da Silva

Chapter metrics overview

76 Chapter Downloads

View Full Metrics

Abstract

Fostering childhood physical activity and fitness levels could have important implications for public health, given growing concerns about high obesity rates, the amount of time spent being sedentary and not getting enough physical activity already at early childhood. World Health Organization states that from 1975 to 2016, the prevalence of children and adolescents with overweight or obesity increased more than four-fold from 4% to 18% globally. Obesity prevention is critical in controlling obesity-related noncommunicable diseases, psychological, and social problems, as well as inferior academic achievement mediated by others attitude and diminished executive cognitive function. A decline of physical activity from early childhood into middle childhood and further to adolescence has been reported. Accompanying health risks from low activity and high sedentariness are comparable to those arising from obesity, and the impact extends into adulthood. Wide range of physical, mental, and cognitive health benefits related to high physical fitness levels in children have been reported. This chapter aims to summarize current evidence clarifying whether higher physical activity is associated with higher physical fitness, and whether higher physical fitness predicts healthier body composition and better cognitive functions in children.

Keywords

  • children
  • physical fitness
  • body composition
  • physical activity
  • cognitive skills

1. Introduction

Physical fitness, as the capacity to perform physical activity, determines a full range of physiological and psychological qualities [1]. Besides an epidemic of obesity, accumulating evidence suggests that young children spend excessive time being sedentary, and they frequently fail to achieve physical activity guidelines [2]. While excessive sedentary time has been linked with a number of health concerns [3], wide range of physical, mental, and cognitive health benefits related to the engagement in physical activity and greater physical fitness in children have been reported, including improved motor and cognitive development [1], higher academic performance [1] and bone mineral density [1], better cardiometabolic health indicators [1, 4, 5], greater psychological well-being [1, 6], and health-related quality of life [1, 7], as well as prevention of overweight/obesity [1, 4, 8] and psychological ill-being [1, 6].

Regarding many health benefits arising from being fit, it is important to monitor physical fitness parameters during growth and maturation in children. Cardiorespiratory fitness represents the overall capacity of the cardiovascular and respiratory systems and the ability to perform prolonged strenuous exercise [1]. Peak oxygen consumption (V̇O2peak), the highest rate at which oxygen can be consumed during exercise, is widely recognized as the best single measure of young people’s cardiorespiratory condition [9]. In epidemiological studies involving children and adolescents, cardiorespiratory fitness is most frequently assessed by 20 m shuttle run test or modified versions of that [1, 10, 11, 12, 13, 14]. Higher cardiorespiratory fitness is beneficially associated with multiple health indicators among children [15]. On the other hand, low levels of cardiorespiratory fitness at young age have been attributed to a higher risk of developing cardiovascular disease risk in adulthood [16].

Speed/agility fitness includes the ability to move the body or its parts as fast as possible (speed) and the ability to move quickly and change direction while maintaining control and balance (agility) [1]. The 30 m sprint test and the 4 × 10 m shuttle run test are widely used tests for assessing speed and/or agility at young age [10, 11, 12, 13, 14]. Several other tests such as 10 × 5 m shuttle run and 20–100 m dash have also been proposed [1, 17, 18, 19, 20]. Better performance in 4 × 10 m shuttle run test has been associated with lower fatness [12] and stronger bones [21] at young age.

Balance denotes the ability to maintain equilibrium while stationary (static balance) or moving (dynamic balance) [20]. The one-leg stance test is widely used to assess static balance [10, 11, 20] and for dynamic balance assessment, lower quarter Y balance test [22] or balance beam [23] is applied. A well-developed postural control system is a prerequisite to manage successfully with daily (e.g., climbing stairs) and or recreational/sports-related (e.g., fundamental movement skills such as kicking, jumping, or advanced skills, such as balancing on a beam) activities [22, 24]. Deficits in postural control because of ongoing growth and maturation processes of the postural control system [25] might be responsible for the high prevalence of sustaining a fall, particularly in children [26]. Furthermore, postural control deficit is a risk factor for musculoskeletal injuries [27, 28].

Muscular fitness is the ability to perform work against a resistance [1]. Maximal (isometric and dynamic) strength, explosive strength, endurance strength, and isokinetic strength have been proposed for the prime health-related muscular fitness components [1]. The handgrip test is one of the most frequently applied tests for investigating muscular fitness in epidemiological studies [1, 10, 11, 12, 13, 14, 29]. Handgrip strength correlates positively with body mass index (BMI) and fat-free mass, meanwhile, handgrip strength associates inversely with body fat percentage in children [30]. Accordingly, grip strength serves as an indicator of muscle mass and healthy body composition. Handgrip strength-to-BMI ratio in children aged 5–10 yrs was positively related to different physical fitness parameters such as absolute handgrip strength, vertical jump, V̇O2peak, and 20 m shuttle run test results [31], suggesting that strong grip expresses general fitness of a young person. There are inconsistent findings about the associations between grip strength and cardiometabolic risk factors. Some studies have shown that higher handgrip strength at young age is associated with lower cardiometabolic risk [29]. Meanwhile Rioux et al. [32] reported inverse association between handgrip strength and cardiometabolic risk score specifically in girls, but not in boys. But it has been also stated that handgrip strength is not suitable as a predictor for cardiometabolic risk factors in children of both sexes [33].

Among jump tests, standing long jump test has been widely used in young population for assessing explosive strength [1, 10, 11, 12, 13, 14]. Since standing long jump test is strongly correlated with other lower- and upper-limb muscular strength tests, it is regarded as a general index of muscular fitness in youth [34].

Among fitness tests, greater isometric muscle strength of the abdomen and back in youth predict lower levels of cardiovascular disease risk factors in young adulthood independently of cardiorespiratory fitness, adiposity, and other sociodemographic and lifestyle factors [35].

The true global burden of mental illness has only recently been understood [36]. Worldwide, about 15% of children and adolescents experience a mental disorder [37]. There is some confidence from experimental and observational studies that physical activity has mental health effects at young age [6, 38]. Current research concerning physical fitness and mental health in childhood is limited, with some evidence for positive mental health benefits from higher physical fitness. LaVigne et al. [39] demonstrated that physical fitness [a composite score of bent-knee sit-ups, sit-and-reach, flexed arm hang (girls only), pull-ups (boys only), and long jump, endurance run, shuttle run, and sprints] was associated with a range of psychological well-being indicators for both boys and girls.

In conclusion, all domains of physical fitness are significant indicators of health status at young age [1, 6, 21, 29, 35]. Thus, it is relevant to work on maintaining and developing sufficient physical fitness in children in order to contribute to their health and well-being [40].

Advertisement

2. Methodology

Scientific articles containing data on the associations between physical fitness, body composition, physical activity, and cognitive skills in children published up to May 2023 were included. The searches were conducted in electronic databases [(PubMed, CINAHL, and Education Resources Information Center (ERIC)]. Eligibility criteria were the following: (1) cross-sectional and longitudinal studies, reviews, systematic reviews, and meta-analyses (design criterion), (2) articles published in scientific journals, book chapters, books, conference proceedings, and theses (publish criterion), (3) children and adolescents aged up to 19 yrs (participant criterion), and (4) articles published in English and German (language criterion). No time limits were set. The papers were screened by two researchers independently, to come to a first selection (after reading title/abstract), and then to second selection (after reading full text) of relevant papers. A total of 2709 studies were identified through the databases searches, and 70 were included into this review.

2.1 Associations of physical fitness and body composition in children

Henriksson et al. [12] demonstrated that speed-agility fitness, cardiorespiratory fitness, and lower-limbs muscular strength at 4.5 yrs were negatively associated with fat mass index and body fat percentage at 5.5 yrs. Meanwhile, higher handgrip strength at 4.5 yrs was associated with higher BMI and fat-free mass index 1 year later. Body composition in this study was assessed by air-displacement plethysmography [12]. In another longitudinal study by Martins et al. [41], children in grade 1 (at 6 yrs) were followed through grade 5 (at 10 yrs). The results from 1-mile run/walk test were not associated with BMI changes, but gross motor coordination was inversely associated with changes in BMI [41]. Findings in children aged 4.6–11 yrs relate baseline V̇O2peak inversely to increasing (over a 3- to 5-yr period) adiposity after adjustments for age, maturity, ethnicity, initial fat mass, and increase in lean tissue mass (assessed by dual-energy X-ray absorptiometry, DEXA) [42]. Additionally, cardiorespiratory fitness seemed to be more important than absolute energy expenditure in the development of obesity [42]. Children at 7–10 yrs with cardiorespiratory fitness of the lowest tertile had a 5.5–6-fold greater chance of having overweight and obesity, as well as metabolic syndrome at 14–17 yrs than the children having better cardiorespiratory fitness levels after controlling for BMI percentile, blood pressure, and cholesterol levels [43]. In children aged 6–12 yrs (on average 8.8 yrs), BMI, parental obesity, and low performance in 20 m shuttle run were the main predictors of the 2-yr tracking of body fatness, and cardiorespiratory fitness level at baseline was a predictor of high waist circumference after 2 yrs [44].

Hruby et al. [45] followed over 1–4 yrs a large sample of 2793 children, who were at baseline 1st to 7th graders. They were classified as “fit” or “underfit” according to age- and sex-specific norms in five fitness domains. It was concluded that schoolchildren with overweight who achieve or maintain physical fitness are more likely to achieve healthy weight, and healthy-weight children who maintain fitness are more likely to maintain healthy weight [45]. This is in accordance with a study, where children aged 10–17 yrs (on average 13 yrs) with abdominal obesity had 8.5 and 6.5 increased odds of low handgrip-to-BMI ratio compared to children with normal waist circumference, both in boys and girls, respectively [46].

Freitas et al. [47] observed children on average for 7.2 yrs starting at age 8 yrs, showing that the variance in adiposity was explained to a small extent by physical fitness. More specifically, for girls, Flamingo balance at 8 and 12 yrs was a predictor of body fatness at 15 and 19 yrs (2–8%). Flexed arm hang at 8 yrs predicted waist circumference at 15 yrs by 8%. The association of flexed arm hang was negative. In boys, about 2–4% of the variance in BMI, waist circumference, and sum of skinfolds at 15 yrs was explained by the sit-ups at 8 yrs [47]. After controlling for fatness indicators, the sit-ups were negatively associated with adult fatness. Other fitness items (strength and endurance) become predictors of future fatness at later age periods. Overall, Flamingo balance and flexed arm hang were the most stable predictors of body fatness in childhood, adolescence, and young adulthood. Yet, the signal of the regression coefficients for Flamingo balance was positive in the age intervals 8–15 and 16–23 yrs but negative in the age interval of 12–19 yrs [47].

Koutedakis et al. [48] demonstrated that in children at 12.3 yrs, 20 m shuttle run test predicted lower body fat percentage (assessed by skinfolds) 2 years later after controlling for age, sex, maturation status, physical activity, cardiorespiratory fitness, and energy intake at follow-up. Twisk et al. [49] reported that baseline neuromotor fitness index including measurements of muscle strength, flexibility, speed, and coordination at 13 yrs was negatively related to sum of skinfolds at 27 yrs. In addition, among children aged 13–16 yrs, V̇O2peak predominantly predicted lower sum of skinfolds both in boys and girls, and smaller waist circumference in girls, but not waist-to-height ratio at 32 yrs [49]. By contrast, Barnekow-Bergkvist et al. [50] found that better performance in 9-min run at 16 yrs was associated with greater odds of high BMI in males at the age 34 yrs. Higher bench press (male) and two-hand lift (female) results at 16 yrs were associated with greater risk of high BMI at age 34. The associations for waist-to-hip ratio were less clear. The number of sit-ups predicted neither BMI nor waist-to-hip ratio [50]. In turn, Janz et al. [51] found that changes in V̇O2peak and handgrip strength from childhood (mean age 10.5 yrs) to adolescence at 5-yr follow-up were negatively related to fat mass (assessed by bioelectrical impedance) and waist circumference after controlling for age and sex, with even stronger associations after adding fat-free mass and sexual maturation as confounding factors. Changes in cardiorespiratory fitness and muscular strength explained 15% of the variability in 5-yr adiposity and 15% variability in the 5-yr abdominal adiposity [51]. In a study by Hasselstrøm et al. [52] children aged 15–19 yrs were observed again 8 yrs later, reporting that higher or increased V̇O2peak (in both sexes) and composite of strength parameters (the sum of maximal isometric contractions of trunk flexors and extensors and elbow flexors and knee extensors) (in males) were related to lower body fat percentage (sum of skinfolds) at follow-up after adjustments for age [52]. These findings are strongly supported by a study with long follow-up for 22 yrs, where a five-factor composite, physical test was used to assess the physical fitness level. It was found out that high-school students with low fitness levels were more likely to be overweight in adulthood vs. those with high fitness levels. The interpretation of outcomes is limited since potential confounding effects were not controlled [53]. The long-lasting contribution from better cardiorespiratory fitness in maintaining healthier body composition was confirmed by Kvaavik et al. [54], who observed that higher V̇O2peak levels at 11–15 yrs (on average 13 yrs) may provide protection against later obesity (assessed by BMI and triceps skinfold thickness), although the effects diminished over time, disappearing at 40 yrs. Controlling for educational attainment of both the parent and the study member had little impact on these associations [54]. Correspondingly, Boreham et al. [55] showed modest inverse associations between the number of laps in 20 m shuttle run at 12 and 15 yrs with sum of skinfolds at 22.5 yrs in both sexes [55]. Similarly, low fitness, such as running speed, arm pull, standing high jump, and V̇O2peak during adolescence predicted lower fatness during early adulthood, after controlling for baseline physical activity and fatness (sum of skinfolds) [56]. In accordance, overweight/obese boys aged 8–13 yrs with greater V̇O2peak levels had a lower increase in total body fat mass (assessed by DEXA) at 15 yrs after adjustments for changes in Tanner stage, age, and fat-free mass. A total of 15% higher V̇O2peak at baseline resulted in a 1.38 kg lower fat mass gain over 4 years [57]. Likewise, adolescents categorized as low-fit based on the composite physical fitness test score demonstrated higher BMI compared with fit peers within 3-yrs follow-up period [58]. Meanwhile, Kim et al. [59] observed that in a large sample consisting of children from kindergarten to eighth grade not all physical fitness items uniformly predicted further fatness in childhood. They identified that the associations between abdominal strength, upper body strength, flexibility, and agility test outcomes (pass vs. fail) and incidence of overweight 1 year later were attenuated after controlling for baseline BMI status, except for the endurance run in girls [59]. To the contrary to findings by Kim et al. [59], Grøntved et al. [35] demonstrated longitudinally that greater strength fitness predicted lower fatness. More precisely, greater isometric muscle strength of the abdomen and back in youth was inversely associated with lower BMI levels 12 yrs later in multivariable adjusted analyses including fitness [35].

To summarize, most research demonstrates healthy longitudinal associations between physical fitness and fatness indicators in childhood and adolescence, with some positive impact reaching even into adulthood. Yet, there is some variation in the results, including heterogeneity within physical fitness domains and gender groups. Also, there is a deficiency of studies exploring the relationships between physical fitness and fat-free mass in preschool-aged children. Therefore, further investigations are warranted to clarify the associations between muscular fitness and body composition in childhood.

2.2 Associations of physical activity, sedentary time and physical fitness in children

Physical activity is a major modifiable determinant for increasing physical fitness [23]. At early age (4–6 yrs) only vigorous physical activity, but not moderate or total physical activity, was related to the improvement in 20 m shuttle run test, agility in obstacle course, and dynamic balance on balance beam after 9 months by controlling for sociocultural confounding factors [23]. Similarly, findings in children aged 9–15 yrs (on average 12.2 yrs) indicate that light and moderate physical activity were not associated with V̇O2peak at 2-yr follow-up, but baseline vigorous physical activity had a positive dose–response association with cardiorespiratory fitness 2 years later after adjustment for age, sex, diet quality, accelerometer wear time, other intensities of physical activity, and baseline value of V̇O2peak [60].

At the same time, a study by Leppänen et al. [13] showed that both greater moderate and vigorous physical activity at 4–5 yrs were associated with higher cardiorespiratory fitness in 20 m shuttle run test, lower-limbs muscular strength and speed-agility fitness 1 year later after adjustment for age, sex, sedentary time and accelerometer wear time. Substituting 5 min/day of sedentary time, light or moderate physical activity with vigorous physical activity at 4–5 yrs was associated with higher upper- and lower-limbs muscular strength at 1-yr follow-up [13].

Associations between parent-reported physical activity (h/wk) at 4.5 yrs and fitness composite score (including predicted V̇O2peak, grip strength, vertical jump, sit-and-reach, and the inverse of waist circumference) at 3-yr follow-up were positive, and relations of baseline physical activity and follow-up V̇O2peak approached significance (p = 0.051) after controlling for follow-up age, sex, and household income [61]. No significant associations of sedentary time, physical activity, change in sedentary time, or change in physical activity with any of the follow-up composite or single fitness measures existed, with the only exception for sedentary time at 4.5 yrs, that negatively predicted follow-up handgrip strength after controlling for follow-up age, sex, household income, and BMI. No sex interactions were observed [61].

Day et al. [62] have investigated the longitudinal associations between organized sports activity (h/wk) and core strength parameters in young females. The authors observed that premenarcheal organized physical activity participation was a significant predictor of sit-up performance at both premenarcheal and post-menarcheal assessments after accounting for maturity, body size, and baseline values. However, participation in organized sports over a two-year circum-menarcheal period was not a strong independent predictor of strength outcomes at the postmenarcheal assessment [62].

A study in adolescents with long follow-up period reported that leisure time sports activity in females and participation in organized sports in both sexes at the age of 15–18 yrs were related to greater probability of having higher V̇O2peak level 18 yrs later [50]. On the contrary, in adolescents aged 15–19 yrs, increased physical activity (h/wk) was not associated with higher or increased V̇O2peak at 8-yr follow-up neither in males nor females by controlling for age [52].

To summarize, there is a major shortage of studies investigating the longitudinal relationships between physical activity, sedentary time, and physical fitness in childhood. Studies using questionnaires for assessment of physical activity show mixed results, meanwhile, objectively measured physical activity data reveal that a higher amount of moderate and/or intensive type of activities in childhood is a predictor of better physical fitness at later age. Differences in objective and self-reported outcomes might come from the aspect that questionnaires assessing physical activity did not collect information about its intensity, rather the frequency and duration. It is suggested that the intensity of physical activity may be a stronger predictor of physical fitness than the duration or frequency [61].

2.3 Associations of physical fitness and cognitive skills in children

Higher physical fitness is a capacity that enables easier access to and greater engagement in activities within the physical domain. Greater engagement in physical activities, in turn, provides greater opportunity to engage in problem-solving, experience multiple perspectives, support formation of meaningful relationships, and employ social skills that require impulse control and other cognitive abilities [39].

A study on the relations between physical fitness and cognitive functioning in children at early age (4–6 yrs) shows that more laps in 20 m shuttle run test and motor skills (agility and dynamic balance) predicted superior spatial working memory and/or attention at baseline, whereas 9 months later some of the positive associations between initial physical fitness measures and cognitive functions were preserved to some extent [63]. At follow-up, cardiorespiratory fitness predicted still better attention in unadjusted analysis and the relations between dynamic balance (steps on the beam) and spatial working memory turned significant after controlling for confounding factors such as age, sex, BMI, migration status, parental education, native language, linguistic region, and baseline cognitive performance. At the same time, the cross-sectional beneficial relations of agility (obstacle course) and cognition disappeared at follow-up in adjusted model [63].

Preadolescents with high cardiorespiratory fitness level on 20 m shuttle run test exhibited superior performance in a visual discrimination task [64] and performed more accurately the tasks involving inhibition compared to children in the low fitness group, whereas no group differences were observed for reaction time [65].

At adolescence (on average 14 yrs) positive indirect associations of motor skills (the sum of the performance in a 5-leaps test and a tennis ball throwing-catching combination test) and muscular fitness with mathematics performance were mediated by visuospatial working memory once adjusted for age, sex, pubertal stage, body fat percentage, learning difficulties, and mother’s education. Meantime, 20 m shuttle run performance was positively associated with mathematics achievement, but the authors did not detect indirect path through cognition [66].

A study with 2-yr-follow-up indicated that boys aged 6–9 yrs, who were in the lowest third of motor competence score at baseline had worse nonverbal reasoning test score over the 2-yr follow-up than boys whose initial motor performance score was in the middle and uppermost thirds after adjusting for age and study group [17]. Secondly, it was found that a lower motor competence score, a shorter 50 m shuttle run test duration and a larger number of cubes moved in the Box and Block Test at 6–9 yrs were associated with smaller increase in the nonverbal reasoning test score during 2-yr follow-up in boys after adjustment for age and study group. None of these associations remained significant after further adjustment for baseline cognitive test (Raven’s Colored Progressive Matrices) score. Thus, the associations were largely explained by baseline cognitive abilities. Accordingly, cognition at baseline may predominantly predict later cognitive functioning compared to changes in motor fitness and cardiorespiratory fitness in childhood. As a proof, a negative relationship between cardiorespiratory fitness (maximal workload on cycle ergometer/fat-free mass) at baseline and cognitive skills 2 years later disappeared after controlling for cognition at baseline. In addition, cardiorespiratory fitness was not associated with cognition in boys, and cardiorespiratory fitness and motor competence were not related to cognition in girls. As well the changes in motor competence or cardiorespiratory fitness were not associated with changes in cognition in children at follow-up [17].

Cross-sectional data imply that V̇O2peak at 7–9 yrs was positively associated with inhibitory control, though not with working memory [67]. At the same time, Skog et al. [68] found that most of cardiorespiratory fitness indicators were related to better cognitive functions such as working memory accuracy and/or visual learning in children at 16–19 yrs after adjustments for age and sex. Inconsistent with Pindus et al. [67], V̇O2peak among higher-fit adolescents was related to better flexible modulation of cognitive control processes to meet task demands than in lower-fit ones [69].

There is also longitudinal evidence about the beneficial association between V̇O2peak at 9-10 yrs and cognitive control. Children with higher levels of cardiorespiratory fitness demonstrated increased accuracy on a modified compatible and incompatible flanker task both at initial and 1-y follow-up test sessions, coupled with a superior ability to flexibly allocate strategies during task conditions that required different amounts of cognitive control, compared to less fit children. More fit children also gained a speed benefit at follow-up testing. These findings are supported by the structural data from magnetic resonance imaging as bilateral putamen volumes of the dorsal striatum and globus pallidus volumes predicted flanker performance at initial and follow-up testing one year later [70].

To summarize, the research reveals predominantly beneficiary associations between different physical fitness items and cognitive functions in children. However, considering some inconsistency in the results [17, 63, 65, 66] and the limited number of longitudinal studies [17, 63, 70] the conclusions regarding the causality and duration of the positive effects of fitness on children’s cognition cannot be firmly drawn.

Advertisement

3. Conclusions

Given current evidence in children, we can conclude the existence of healthy longitudinal relations between physical fitness and fatness of some positive associations reaching into adulthood. With regards to the limited number of longitudinal studies, the associations between objectively measured physical activity and physical fitness in children are partially supported, favoring activities of moderate and/or vigorous intensity. At present, the association between sedentary behavior and physical fitness remains unclear. Better physical fitness mostly predicts superior cognitive development in children, though, there is need for clarification considering scarcity of longitudinal research, short-follow-up periods, and partially mixed results.

Therefore, continued research on physical fitness and activity, body composition, and cognition in children should be supported. Future research should apply more precise methods over BMI or waist circumference, such as DEXA, air-displacement plethysmography, bioelectrical impedance analysis, and skinfold thicknesses, in accurately assessing body composition; objective assessment of physical activity should be encouraged to precisely capture information of its intensity. Evaluating cohorts with greater variability in activity level and body composition and as soon as at the earliest stages of life should help to corroborate current findings. More studies are needed to better understand whether the associations differ in male and female, given that this could have implications for future policy recommendations.

References

  1. 1. Ortega FB, Ruiz JR, Castillo MJ, Sjöström M. Physical fitness in childhood and adolescence: A powerful marker of health. International Journal of Obesity. 2008;32:1-11. DOI: 10.1038/sj.ijo.0803774
  2. 2. Pizarro AN, Correia D, Lopes C, Teixeira PJ, Mota J. Active and sedentary behaviors in youth (6-14 years old): Data from the IAN-AF survey (2015-2016). Porto Biomedical Journal. 2022;7:e161. DOI: 10.1097/j.pbj.0000000000000161
  3. 3. Barnett TA, Kelly AS, Young DR, Perry CK, Pratt CA, Edwards NM, et al. Sedentary behaviors in today's youth: Approaches to the prevention and management of childhood obesity: A scientific statement from the American Heart Association. Circulation. 2018;138:e142-ee59. DOI: 10.1161/CIR.0000000000000591
  4. 4. Mintjens S, Menting MD, Daams JG, van Poppel MNM, Roseboom TJ, Gemke RJBJ. Cardiorespiratory fitness in childhood and adolescence affects future cardiovascular risk factors: A systematic review of longitudinal studies. Cardiorespiratory fitness in childhood and adolescence affects future cardiovascular risk factors: A systematic review of longitudinal studies. Sports Medicine. 2018;48:2577-2605. DOI: 10.1007/s40279-018-0974-5
  5. 5. Ortega FB, Lavie CJ, Blair SN. Obesity and cardiovascular disease. Circulation Research. 2016;118:1752-1770. DOI: 10.1161/CIRCRESAHA.115.306883
  6. 6. Rodriguez-Ayllon M, Cadenas-Sánchez C, Estévez-López F, Muñoz NE, Mora-Gonzalez J, Migueles JH, et al. Role of physical activity and sedentary behavior in the mental health of preschoolers, children and adolescents: A systematic review and meta-analysis. Sports Medicine. 2019;49:1383-1410. DOI: 10.1007/s40279-019-01099-5
  7. 7. Wu XY, Han LH, Zhang JH, Luo S, Hu JW, Sun K. The influence of physical activity, sedentary behavior on health-related quality of life among the general population of children and adolescents: A systematic review. PLoS One. 2017;12:e0187668. DOI: 10.1371/journal.pone.0187668
  8. 8. Gualdi-Russo E, Rinaldo N, Toselli S, Zaccagni L. Associations of physical activity and sedentary behaviour assessed by accelerometer with body composition among children and adolescents: A scoping review. Sustainability. 2021;13:335. DOI: 10.3390/su13010335
  9. 9. Herdy AH, Ritt LE, Stein R, Araújo CG, Milani M, Meneghelo RS, et al. Cardiopulmonary exercise test: Background, applicability and interpretation. Arquivos Brasileiros de Cardiologia. 2016;107:467-481. DOI: 10.5935/abc.20160171
  10. 10. Cadenas-Sánchez C, Martinez-Tellez B, Sanchez-Delgado G, Mora-Gonzalez J, Castro-Piñero J, Löf M, et al. Assessing physical fitness in preschool children: Feasibility, reliability and practical recommendations for the PREFIT battery. Journal of Science and Medicine in Sport. 2016;19:910-915. DOI: 10.1016/j.jsams.2016.02.003
  11. 11. Cadenas-Sánchez C, Intemann T, Labayen I, Peinado AB, Vidal-Conti J, Sanchis-Moysi J, et al. Physical fitness reference standards for preschool children: The PREFIT project. Journal of Science and Medicine in Sport. 2019;22:430-437. DOI: 10.1016/j.jsams.2018.09.227
  12. 12. Henriksson P, Leppänen MH, Henriksson H, Delisle Nyström C, Cadenas-Sánchez C, Ek A, et al. Physical fitness in relation to later body composition in pre-school children. Journal of Science and Medicine in Sport. 2019;22:574-579. DOI: 10.1016/j.jsams.2018.11.024
  13. 13. Leppänen MH, Henriksson P, Nyström DC, Henriksson H, Ortega FB, Pomeroy J, et al. Longitudinal physical activity, body composition, and physical fitness in preschoolers. Medicine and Science in Sports and Exercise. 2017;49:2078-2085. DOI: 10.1249/MSS.0000000000001313
  14. 14. Riso E-M, Toplaan L, Viira P, Vaiksaar S, Jürimäe J. Physical fitness and physical activity of 6-7-year-old children according to weight status and sports participation. PLoS One. 2019;14:e0218901. DOI: 10.1371/journal.pone.0218901
  15. 15. Lang JJ, Chaput JP, Longmuir PE, Barnes JD, Belanger K, Tomkinson GR, et al. Cardiorespiratory fitness is associated with physical literacy in a large sample of Canadian children aged 8 to 12 years. BMC Public Health. 2018;18:1041. DOI: 10.1186/s12889-018-5896-5
  16. 16. Ruiz JR, Castro-Piñero J, Artero EG, Ortega FB, Sjöström M, Suni J, et al. Predictive validity of health-related fitness in youth: A systematic review. British Journal of Sports Medicine. 2009;43:909-923. DOI: 10.1136/bjsm.2008.056499
  17. 17. Haapala EA, Lintu N, Väistö J, Tompuri T, Soininen S, Viitasalo A, et al. Longitudinal associations of fitness, motor competence, and adiposity with cognition. Medicine and Science in Sports and Exercise. 2019;51:465-471. DOI: 10.1249/MSS.0000000000001826
  18. 18. Marques A, Henriques-Neto D, Peralta M, Martins J, Gomes F, Popovic S, et al. Field-based health-related physical fitness tests in children and adolescents: A systematic review. Frontiers in Pediatrics. 2021;9:640028. DOI: 10.3389/fped.2021.640028
  19. 19. Moradi A, Sadri Damirchi E, Narimani M, Esmaeilzadeh S, Dziembowska I, Azevedo LB, et al. Association between physical and motor fitness with cognition in children. Medicina (Kaunas, Lithuania). 2019;55:7. DOI: 10.3390/medicina55010007
  20. 20. Ortega FB, Cadenas-Sánchez C, Sánchez-Delgado G, Mora-González J, Martínez-Téllez B, Artero EG, et al. Systematic review and proposal of a field-based physical fitness-test battery in preschool children: The PREFIT battery. Sports Medicine. 2015;45:533-555. DOI: 10.1007/s40279-014-0281-8
  21. 21. Gómez-Bruton A, Marín-Puyalto J, Muñiz-Pardos B, Lozano-Berges G, Cadenas-Sanchez C, Matute-Llorente A, et al. Association between physical fitness and bone strength and structure in 3- to 5-year-old children. Sports Health. 2020;12:431-440. DOI: 10.1177/1941738120913645
  22. 22. Faigenbaum AD, Myer GD, Fernandez IP, Carrasco EG, Bates N, Farrell A, et al. Feasibility and reliability of dynamic postural control measures in children in first through fifth grades. International Journal of Sports Physical Therapy. 2014;9:140-148
  23. 23. Bürgi F, Meyer U, Granacher U, Schindler C, Marques-Vidal P, Kriemler S, et al. Relationship of physical activity with motor skills, aerobic fitness and body fat in preschool children: A cross-sectional and longitudinal study (Ballabeina). International Journal of Obesity. 2005;2011(35):937-944. DOI: 10.1038/ijo.2011.54
  24. 24. Muehlbauer T, Brueckner D, Schedler S. Effect of practice on learning a balance task in children, adolescents, and young adults. Frontiers in Psychology. 2022;6(13):989645. DOI: 10.3389/fpsyg.2022.989645
  25. 25. Hirabayashi S, Iwasaki Y. Developmental perspective of sensory organization on postural control. Brain & Development. 1995;17:111-113. DOI: 10.1016/0387-7604(95)00009-z
  26. 26. Ellsäßer G, Diepgen TL. Epidemiologische Analyse von Sturzunfällen im Kindesalter (<15 Jahre) Konsequenzen für die Prävention: Konsequenzen für die Prävention. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz. 2002;45:267-276. (German). DOI: 10.1007/s00103-001-0371-2
  27. 27. Docherty CL, Valovich McLeod TC, Shultz SJ. Postural control deficits in participants with functional ankle instability as measured by the balance error scoring system. Clinical Journal of Sports Medicine: Official Journal of the Canadian Academy of Sport Medicine. 2006;16:203-208. DOI: 10.1097/00042752-200605000-00003
  28. 28. McGuine TA, Greene JJ, Best T, Leverson G. Balance as a predictor of ankle injuries in high school basketball players. Clinical Journal of Sport Medicine: Official Journal of the Canadian Academy of Sport Medicine. 2000;10:239-244. DOI: 10.1097/00042752-200010000-00003
  29. 29. Ramírez-Vélez R, Tordecilla-Sanders A, Correa-Bautista JE, Peterson MD, Garcia-Hermoso A. Handgrip strength and ideal cardiovascular health among Colombian children and adolescents. The Journal of Pediatrics. 2016;179:82-89.e1. DOI: 10.1016/j.jpeds.2016.08.099
  30. 30. Sartorio A, Lafortuna CL, Pogliaghi S, Trecate L. The impact of gender, body dimension and body composition on hand-grip strength in healthy children. Journal of Endocrinological Investigation. 2002;25:431-435. DOI: 10.1007/BF03344033
  31. 31. Manzano-Carrasco S, Garcia-Unanue J, Lopez-Fernandez J, Hernandez-Martin A, Sanchez-Sanchez J, Gallardo L, et al. Differences in body composition and physical fitness parameters among prepubertal and pubertal children engaged in extracurricular sports: The active health study. European Journal of Public Health. 2022;32:i67-i72. DOI: 10.1093/eurpub/ckac075
  32. 32. Rioux BV, Kuwornu P, Sharma A, Tremblay MS, McGavock JM, Sénéchal M. Association between handgrip muscle strength and cardiometabolic z-score in children 6 to 19 years of age: Results from the Canadian health measures survey. Metabolic Syndrome and Related Disorders. 2017;15:379-384. DOI: 10.1089/met.2016.0147
  33. 33. Fredriksen PM, Mamen A, Hjelle OP, Lindberg M. Handgrip strength in 6-12-year-old children: The Health Oriented Pedagogical Project (HOPP). Scandinavian Journal of Public Health. 2018;46:54-60. DOI: 10.1177/1403494818769851
  34. 34. Castro-Piñero J, Ortega FB, Artero EG, Girela-Rejón MJ, Mora J, Sjöström M, et al. Assessing muscular strength in youth: Usefulness of standing long jump as a general index of muscular fitness. Journal of Strength and Conditioning Research. 2010;24:1810-1817. DOI: 10.1519/JSC.0b013e3181ddb03d
  35. 35. Grøntved A, Ried-Larsen M, Møller NC, Kristensen PL, Froberg K, Brage S, et al. Muscle strength in youth and cardiovascular risk in young adulthood (the European Youth Heart Study). British Journal of Sports Medicine. 2015;49:90-94. DOI: 10.1136/bjsports-2012-091907
  36. 36. Bruha L, Spyridou V, Forth G, Ougrin D. Global child and adolescent mental health: Challenges and advances. London Journal of Primary Care. 2018;16(10):108-109
  37. 37. Polanczyk GV, Salum GA, Sugaya LS, Caye A, Rohde LA. Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. Journal of Child Psychology and Psychiatry. 2015;56:345-365. DOI: 10.1111/jcpp.12381
  38. 38. Biddle SJH, Ciaccioni S, Thomas G, Vergeer I. Physical activity and mental health in children and adolescents: An updated review of reviews and an analysis of causality. Psychology of Sport and Exercise. 2019;42:146-155. DOI: 10.1016/j.psychsport.2018.08.011
  39. 39. LaVigne T, Hoza B, Smith AL, Shoulberg EK, Bukowski W. Associations between physical fitness and children's psychological well-being. Journal of Clinical Sport Psychology. 2016;10:32-47. DOI: 10.1123/jcsp.2014-0053
  40. 40. Haga M. The relationship between physical fitness and motor competence in children. Child: Care, Health and Development. 2008;34:329-334. DOI: 10.1111/j.1365-2214.2008.00814.x
  41. 41. Martins D, Maia J, Seabra A, Garganta R, Lopes V, Katzmarzyk P, et al. Correlates of changes in BMI of children from the Azores islands. International Journal of Obesity. 2010;34:1487-1493. DOI: 10.1038/ijo.2010.56
  42. 42. Johnson MS, Figueroa-Colon R, Herd SL, Fields DA, Sun M, Hunter GR, et al. Aerobic fitness, not energy expenditure, influences subsequent increase in adiposity in black and white children. Pediatrics. 2000;106:E50. DOI: 10.1542/peds.106.4.e50
  43. 43. McMurray RG, Bangdiwala SI, Harrell JS, Amorim LD. Adolescents with metabolic syndrome have a history of low aerobic fitness and physical activity levels. Dynamic Medicine: DM. 2008;7:5. DOI: 10.1186/1476-5918-7-5
  44. 44. Psarra G, Nassis GP, Sidossis LS. Short-term predictors of abdominal obesity in children. European Journal of Public Health. 2006;16:520-255. DOI: 10.1093/eurpub/cki196
  45. 45. Hruby A, Chomitz VR, Arsenault LN, Must A, Economos CD, McGowan RJ, et al. Predicting maintenance or achievement of healthy weight in children: The impact of changes in physical fitness. Obesity (Silver Spring, Md.). 2012;20:1710-1717. DOI: 10.1038/oby.2012.13
  46. 46. Palacio-Agüero A, Díaz-Torrente X, Quintiliano Scarpelli Dourado D. Relative handgrip strength, nutritional status and abdominal obesity in chilean adolescents. PLoS One. 2020;15:e0234316. DOI: 10.1371/journal.pone.0234316
  47. 47. Freitas D, Beunen G, Maia J, Claessens A, Thomis M, Marques A, et al. Tracking of fatness during childhood, adolescence and young adulthood: A 7-year follow-up study in Madeira Island, Portugal. Annals of Human Biology. 2012;39:59-67. DOI: 10.3109/03014460.2011.638322
  48. 48. Koutedakis Y, Bouziotas C, Flouris AD, Nelson PN. Longitudinal modeling of adiposity in periadolescent Greek schoolchildren. Medicine and Science in Sports and Exercise. 2005;37:2070-2074. DOI: 10.1249/01.mss.0000178099.80388.15
  49. 49. Twisk JW, Kemper HC, van Mechelen W. Tracking of activity and fitness and the relationship with cardiovascular disease risk factors. Medicine and Science in Sports and Exercise. 2000;32:1455-1461. DOI: 10.1097/00005768-200008000-00014
  50. 50. Barnekow-Bergkvist M, Hedberg G, Janlert U, Jansson E. Adolescent determinants of cardiovascular risk factors in adult men and women. Scandinavian Journal of Public Health. 2001;29:208-217
  51. 51. Janz KF, Dawson JD, Mahoney LT. Increases in physical fitness during childhood improve cardiovascular health during adolescence: The Muscatine study. International Journal of Sports Medicine. 2002;23:S15-S21. DOI: 10.1055/s-2002-28456
  52. 52. Hasselstrøm H, Hansen SE, Froberg K, Andersen LB. Physical fitness and physical activity during adolescence as predictors of cardiovascular disease risk in young adulthood. Danish youth and sports study. An eight-year follow-up study. International Journal of Sports Medicine. 2002;23:S27-S31. DOI: 10.1055/s-2002-28458
  53. 53. Jekal Y, Kim Y, Yun JE, Kim ES, Naruse M, Park JH, et al. The association of adolescent fatness and fitness with risk factors for adult metabolic syndrome: A 22-year follow-up study. Journal of Physical Activity & Health. 2014;11:823-830. DOI: 10.1123/jpah.2012-0068
  54. 54. Kvaavik E, Klepp KI, Tell GS, Meyer HE, Batty GD. Physical fitness and physical activity at age 13 years as predictors of cardiovascular disease risk factors at ages 15, 25, 33, and 40 years: Extended follow-up of the Oslo youth study. Pediatrics. 2009;123:e80-e86. DOI: 10.1542/peds.2008-1118
  55. 55. Boreham C, Twisk J, Neville C, Savage M, Murray L, Gallagher A. Associations between physical fitness and activity patterns during adolescence and cardiovascular risk factors in young adulthood: The Northern Ireland Young hearts project. International Journal of Sports Medicine. 2002;23:S22-S26. DOI: 10.1055/s-2002-28457
  56. 56. Minck MR, Ruiter LM, Van Mechelen W, Kemper HC, Twisk JW. Physical fitness, body fatness, and physical activity: The Amsterdam Growth and Health Study. American Journal of Human Biology. 2000;12:593-599
  57. 57. Byrd-Williams CE, Shaibi GQ , Sun P, Lane CJ, Ventura EE, Davis JN, et al. Cardiorespiratory fitness predicts changes in adiposity in overweight Hispanic boys. Obesity (Silver Spring, Md.). 2008;16:1072-1077. DOI: 10.1002/1520-6300(200009/10)12:5<593::AID-AJHB3>3.0.CO;2-U
  58. 58. Aires L, Andersen LB, Mendonça D, Martins C, Silva G, Mota J. A 3-year longitudinal analysis of changes in fitness, physical activity, fatness and screen time. Acta Paediatrica. 2010;99:140-144. DOI: 10.1111/j.1651-2227.2009.01536.x
  59. 59. Kim J, Must A, Fitzmaurice GM, Gillman MW, Chomitz V, Kramer E, et al. Relationship of physical fitness to prevalence and incidence of overweight among schoolchildren. Obesity Research. 2005;13:1246-1254. DOI: 10.1038/oby.2005.148
  60. 60. Carson V, Rinaldi RL, Torrance B, Maximova K, Ball GD, Majumdar SR, et al. Vigorous physical activity and longitudinal associations with cardiometabolic risk factors in youth. International Journal of Obesity (London). 2014;38:16-21. DOI: 10.1038/ijo.2013.135
  61. 61. Potter M, Spence JC, Boulé N, Stearns JA, Carson V. Behavior tracking and 3-year longitudinal associations between physical activity, screen time, and fitness among young children. Pediatric Exercise Science. 2018;30:132-141. DOI: 10.1123/pes.2016-0239
  62. 62. Day MA, Dowthwaite JN, Rosenbaum PF, Roedel GG, Brocker AA, Scerpella TA. Pre-menarcheal physical activity predicts post-menarcheal lean mass and core strength, but not fat mass. Journal of Musculoskeletal & Neuronal Interactions. 2015;15:341-349
  63. 63. Niederer I, Kriemler S, Gut J, Hartmann T, Schindler C, Barral J, et al. Relationship of aerobic fitness and motor skills with memory and attention in preschoolers (Ballabeina): A cross-sectional and longitudinal study. BMC Pediatrics. 2011;11:34. DOI: 10.1186/1471-2431-11-34
  64. 64. Hillman CH, Castelli DM, Buck SM. Aerobic fitness and neurocognitive function in healthy preadolescent children. Medicine and Science in Sports and Exercise. 2005;37:1967-1974. DOI: 10.1249/01.mss.0000176680.79702.ce
  65. 65. Hillman CH, Buck SM, Themanson JR, Pontifex MB, Castelli DM. Aerobic fitness and cognitive development: Event-related brain potential and task performance indices of executive control in preadolescent children. Developmental Psychology. 2009;45:114-129. DOI: 10.1037/a0014437
  66. 66. Syväoja HJ, Kankaanpää A, Hakonen H, Inkinen V, Kulmala J, Joensuu L, et al. How physical activity, fitness, and motor skills contribute to math performance: Working memory as a mediating factor. Scandinavian Journal of Medicine & Science in Sports. 2021;31:2310-2321. DOI: 10.1111/sms.14049
  67. 67. Pindus DM, Drollette ES, Scudder MR, Khan NA, Raine LB, Sherar LB, et al. Moderate-to-vigorous physical activity, indices of cognitive control, and academic achievement in preadolescents. The Journal of Pediatrics. 2016;173:136-142. DOI: 10.1016/j.jpeds.2016.02.045
  68. 68. Skog H, Lintu N, Haapala HL, Haapala EA. Associations of cardiorespiratory fitness, adiposity, and arterial stiffness with cognition in youth. Physiological Reports. 2020;8:e14586. DOI: 10.14814/phy2.14586
  69. 69. Pontifex MB, Raine LB, Johnson CR, Chaddock L, Voss MW, Cohen NJ, et al. Cardiorespiratory fitness and the flexible modulation of cognitive control in preadolescent children. Journal of Cognitive Neuroscience. 2011;23:1332-1345. DOI: 10.1162/jocn.2010.21528
  70. 70. Chaddock L, Hillman CH, Pontifex MB, Johnson CR, Raine LB, Kramer AF. Childhood aerobic fitness predicts cognitive performance one year later. Journal of Sports Sciences. 2012;30:421-430. DOI: 10.1080/02640414.2011.647706

Written By

Kirkke Reisberg, Eva-Maria Riso and Jaak Jürimäe

Submitted: 20 June 2023 Reviewed: 08 September 2023 Published: 11 December 2023