Skip to main content

The relationship between active travel to school and health-related fitness in children and adolescents: a systematic review



Active travel to school (ATS) has been identified as an important source of physical activity for youth. However, the relationship between ATS and health-related fitness (HRF) among youth remains unclear.


A systematic search of seven electronic databases (EMBASE, OVID MEDLINE, PsycINFO, PubMed, Scopus, SPORTDiscus and TRIS on line) was conducted in December 2009 and studies published since 1980 were considered for inclusion.


Twenty seven articles were identified that explored the relationship between ATS and the following aspects of HRF: weight status/body composition, cardiorespiratory fitness, muscular fitness and flexibility. Forty-eight percent of the studies that examined the relationship between ATS and weight status/body composition reported significant associations, this increased to 55% once poor quality studies were removed. Furthermore, the findings from five studies, including one longitudinal study, indicate that ATS is positively associated with cardiorespiratory fitness in youth. However, the evidence for the relationships between ATS and muscular fitness or flexibility is equivocal and limited by low study numbers.


There is some evidence to suggest that ATS is associated with a healthier body composition and level of cardiorespiratory fitness among youth. Strategies to increase ATS are warranted and should be included in whole-of-school approaches to the promotion of physical activity.


Higher levels of physical activity are associated with superior physical, social and psychological health in young people. Physical activity is inversely related to overweight and obesity in youth [1, 2] and poor body composition in childhood is associated with an increased risk of coronary heart disease in adulthood [3]. While there has been debate about whether or not physical activity levels have declined in the last 30 years [4], evidence suggests that there has been a decline in active travel to school (ATS) among children and adolescents in many countries [57]. For example, data from the US National Personal Transportation Survey revealed that the number of students who walked or cycled to school decreased from 41% in 1969 to only 13% in 2001 [6].

ATS includes various modes of travel such as walking, cycling, and skateboarding, and has been identified as an important source of physical activity for young people [8]. Previous reviews [911] have examined the relationship between ATS, body composition and physical activity and reported strong evidence for a positive association between ATS and overall physical activity level, but little evidence linking ATS to leaner body composition. However, these reviews did not stratify their results or conclusions by study quality or risk of bias [12]. While previous reviews included studies that examined the relationship between ATS and cardiorespiratory fitness, the authors were unable to determine the association due to limited evidence. Since the publication of these reviews there has been an increase in the number of studies exploring this relationship.

It has been suggested that much of the activity completed by children and adolescents is of insufficient volume and intensity to improve health-related fitness (i.e., body composition, cardiorespiratory fitness, muscular fitness and flexibility) [13]. While the exact volume and intensity of activity required to improve fitness in young people is not clear [14], it is plausible to suggest that habitual ATS has the potential to improve health-related fitness (HRF) among youth. ATS provides a regular opportunity for young people to accumulate physical activity, but evidence to support or refute the health benefits of active transportation is limited due to the focus on assessing time spent in vigorous activity [8]. Furthermore, few studies have explored the effects of ATS on HRF among young people in longitudinal studies [15]. The aim of this review, therefore, was to systematically examine the potential health benefits associated with ATS among children and adolescents. The secondary aim was to explore the quality of studies that have examined the relationship between ATS and HRF and to determine whether study quality may have confounded these relationships.


Identification of studies

The Quality of Reporting of Meta-analyses statement (QUOROM) [16] provided the structure for this review. A systematic search of seven electronic databases (EMBASE, OVID MEDLINE, PsycINFO, PubMed, Scopus, SPORTDiscus and TRIS Online) was conducted in December 2009. Studies published from 1980 up to and including the search date were considered for inclusion. Individualized search strategies for the different databases included combinations of the following key words: (child* OR adolescent OR youth OR "young people") AND (walking OR "active travel" OR "active transport*" OR cycling OR riding OR "travel mode" OR trip) AND ("health-related fitness" OR "body composition" OR "obesity" OR "weight status" OR "physical fitness" OR fitness OR "cardiovascular fitness" OR "cardiorespiratory fitness" OR "aerobic fitness"). Only articles published or accepted for publication in refereed journals were considered for the review. Conference proceedings and abstracts, therefore, were not included. In the first stage of the literature search, titles and abstracts of identified articles were checked for relevance. In the second stage, full-text articles were retrieved and considered for inclusion. In the final stage, the reference lists of retrieved full-text articles were searched and additional articles known to the authors were assessed for possible inclusion.

Criteria for inclusion/exclusion

In the first stage of the literature search, two of the four authors (DRL and PK) independently assessed the studies for inclusion. Studies were considered to be eligible for inclusion according to the following criteria: (i) participants were children or adolescents aged 5 to 18 years, (ii) study reported active school transportation in children and/or adolescents, (iii) study assessed at least one component of health-related fitness (i.e. cardiorespiratory fitness, muscular fitness, body composition or flexibility), (iv) study included quantitative analysis of the relationship between ATS and at least one component of health-related fitness, (v) study published in English.

Criteria for assessment of study quality

Two authors (DRL and PK) independently assessed the quality of the studies that met the inclusion criteria (Table 1). The criteria for assessing the quality of the studies were adapted from the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement [17]. Items that were considered to be the most important in relation to study bias were included in the concise checklist. A formal quality score for each study was completed for a 6-item list by assigning a value of 0 (absent or inadequately described) or 1 (explicitly described and present) to each of the following questions listed: (i) Did the study describe the participant eligibility criteria? (ii) Were the study schools/participants randomly selected (or representative of the study population)? (iii) Did the study report the sources and details of ATS assessment and did the instruments have acceptable reliability for the specific age group? (iv) Did the study report the sources and details of HRF assessment and did all the methods have acceptable reliability? (v) Did the study report a power calculation and was the study adequately powered to detect hypothesized relationships? (vi) Did the study report the numbers of individuals who completed each of the different measures and did participants complete at least 80% of measures? Differences were resolved by a third reviewer (CEF).

Table 1 ATS study quality checklist with quality scores assigned

Categorization of variables and level of evidence

The level of association between ATS and HRF was determined using the coding system first described by Sallis et al. [18] (Table 2). The relationship between ATS and HRF components was determined by examining the percentage of studies that reported a statistically significant relationship (i.e. between ATS and the HRF component). If only 0-33% of the included studies reported a statistically significant relationship between ATS and a given HRF component, the result was categorized as no association (0). If 34-59% of the studies reported statistically significant relationships between ATS and the HRF component, the result was categorized as indeterminate (?). If 60-100% of studies reported a positive relationship between ATS and the HRF component, the result was coded as a positive association (+). If 60-100% of studies reported a negative relationship between ATS and the HRF component, the result was coded as a negative association (-). The methods of Sallis et al. [18] were modified to address the issue of study quality, and additional coding was conducted based on studies identified as high quality. If 60-100% of high quality studies (≥ 4) found a relationship between ATS and a given HRF component, the result was coded as having strong evidence for a positive association (++) or negative association (--).

Table 2 Summary of studies examining the relationship between ATS and HRF in youth


Overview of studies

The flow of studies through the search process is reported in Figure 1. While the majority of studies (Table 3) were conducted in the US [1925], the relationship between ATS and HRF was explored in a further 12 different countries, including the Philippines [8], England [2629], Holland [30], France [31], Denmark [15, 32, 33], Portugal [34, 35], Australia [36, 37], China [38], Spain [39], Germany [40], Canada [41], and Brazil [42]. The study sample sizes ranged from 107 [37] to 21,345 [41]. While most of the studies involved cross-sectional study designs, Cooper and colleagues [33] examined longitudinal changes in transport to school over a 6-year study period. Similarly, Rosenberg et al [23] explored the relationship between school travel and weight status over a 2-year period. The prevalence of ATS among study participants ranged from 3 and 8% in boys and girls [22], to 72 and 79% in boys and girls [15].

Table 3 Summary of included studies
Figure 1
figure 1

Flow diagram of study selection. Note. ATS = active travel to school, HRF = health-related fitness

Overview of study quality

There was 90% agreement between reviewers (DRL and PK) on the study assessment criteria and full consensus was achieved with the help of a third reviewer (CEF). Eleven studies scored ≥ 4 on the study quality assessment [20, 24, 28, 3133, 36, 4043] (Table 1). The majority of studies used samples of schools/participants who were randomly selected and/or representative of the study population. Most of the studies described the participant eligibility criteria, although participant eligibility (e.g. were participants selected from all grades at participating schools?) was unclear in three studies [21, 29, 30]. The majority of studies reported standardized procedures for the assessment of height, weight and cardiorespiratory fitness. Two studies reported parental proxy reports for their children's height and weight and did not provide reliability/validity data [21, 37] and a further two studies used self-reported height and weight to calculate BMI [19, 30]. While the majority of studies involved large sample sizes and were adequately powered to detect hypothesized relationships, only two studies reported power calculations relevant to their study aims [42, 43]. Fifteen studies reported the number of individuals who completed each of the different measures.

Overview of findings

Twenty three studies examined the relationship between ATS and weight status/body composition (Table 2). ATS was associated with more beneficial weight status (or lower body fat) in 11 (48%) of these studies. However, when lower quality studies (< 4) were excluded from the summary, five of the nine remaining studies found ATS to be beneficially associated with weight status. Five studies examined the association between ATS and CRF [15, 25, 29, 32, 33]. Four of these studies [15, 29, 32, 33] found a positive association, while the fifth study [25] found a non-significant (p < .07) trend between ATS and CRF. More specifically, three of four studies involving cycling reported positive associations with CRF, and a 6-year longitudinal study [33] demonstrated that change in travel mode to school from non-cycling to cycling was a significant predictor of CRF at follow-up. Further evidence supporting the benefits of cycling was provided by Andersen and colleagues [15], who found that muscular fitness and flexibility were significantly better among Danish cyclists compared to walkers and those who used passive transportation.


The aim of this review was to systematically examine the potential health benefits associated with ATS among children and adolescents. Of the 27 studies that were included in the review, 25 examined the relationship between ATS and weight status/body composition. While only 48% of these studies reported significant inverse associations between ATS and weight status/body fatness, this increased to 55% once poor quality studies were removed. Based on the findings from five studies, including one longitudinal study, it appears that ATS may be associated with superior cardiorespiratory fitness in youth. It was not possible to draw any conclusions about the associations between ATS, muscular fitness and flexibility due to the small number of studies exploring these relationships.

Despite methodological differences, these results are similar to those of previous reviews [9, 10]. Two previous ATS and health reviews reached the same conclusion about a lack of association between body weight and ATS despite not assessing the quality of their included studies. The decision to use an assessment of study quality or risk of bias was both pragmatic and justified. The application of this metric allowed for the removal the studies with the greatest risk of bias. Faulkner and colleagues' review [10] reported just over half the studies included in this review (n = 10), that had examined associations between ATS and body weight. One explanation for this difference lies in the recent increase in ATS-related publication since their review's search date (06/2008). Their review not only focused on the relationship between ATS and overall physical activity, but also adopted inclusion criteria for studies for the assessment of physical activity using an objective measure (pedometer or accelerometer). Despite these differences, the findings of both reviews were consistent, concluding that there is little evidence to suggest an association between body weight and ATS.

Previous reviews that examined the relationship between ATS and cardiorespiratory fitness were unable to draw conclusions due to the small number of studies. However, evidence from a number of recent well designed studies suggests a positive association between ATS and cardiorespiratory fitness. One partial explanation for these positive associations may be the use of cycle ergometers to measure fitness in three of the five studies, which may have favored those children who cycled to school [15, 32, 33]. However, the two other studies that used running-based fitness assessments also observed differences in fitness between ATS and non ATS groups, with one significant [29] and one borderline nonsignificant [25] result. Furthermore, a recent study, not included in the current review, found that CRF levels were higher among young Swedish and Estonians adolescents who cycled to school compared to those who walked or used passive transportation methods [44]. There appears, therefore, to be some evidence supporting the observation that fitness is associated with ATS, but future studies must account for loss to follow-up and validated assessments of ATS to improve confidence in these observations.

Similar limitations to the overall quality of studies were observed, particularly in the definition and measurement of ATS. There were a range of definitions for classifying a participant as an active traveler. These definitions used different categories for frequency, duration and type of activity that counted as ATS. For example, studies often used questions about "usual mode of travel to and from school", and only 11 of the 27 studies reported an acceptable reliability of their methodology for ATS assessment in the sample population. Thus, standardized definition and measurement should be addressed in future studies, as active travel is a collection of behaviors that vary by purpose and duration [45], e.g. journey to and from school. The potential for misclassification of ATS was also reflected in the actual measurement of ATS mode, with no study reporting a validated measure of ATS by travel mode. With the advent of both portable global positioning system devices and digital image capture systems, the opportunity to improve this potential source of bias must be addressed. These new systems, which allow the confirmation of journey mode, duration and distance, are currently being evaluated in a number of international studies [46, 47]. Such systems would also address the issue of possible confounding or mediation of ATS behavior and health outcome by the built environment characteristics of study areas [48].

The majority of studies did not examine associations by population sub- groups, e.g. gender or age. Indeed, study populations were treated as homogeneous, being usually dichotomized into ATS v non-ATS groups. Such an approach is limited as it ignores the broader social, environmental and personal level correlates of behavior. Indeed, Panter and colleagues [48] highlighted the importance of facilities to assist active travel and urban design in the neighborhood, as well as shorter distances and road safety in-route in relation to active travel. A recent review of qualitative studies of children's experiences of active travel not only supported these observations, but also highlighted the importance of the constraining influence of parents' restrictions on independent movement, as well as children's own fears of traffic [49]. All these factors clearly have a major impact on children's ability to undertake ATS and may provide an explanation why some studies fail to report consistent associations [9, 10]. Only two studies reported power calculations in their methods sections. While the majority of the studies included large samples and were likely to have adequate power to detect hypothesized relationships, the reporting of power calculations should be considered by others in the future.

Body composition/weight status was measured in a variety of ways, with most studies employing BMI z-scores or percentiles to classify youth as healthy, overweight or obese. Two studies [21, 37] used parental proxy reports of their children's height and weight and both studies found no association between BMI and method of transportation to school. Alternatively, two studies [19, 30] used students' self-reported BMI and found significant associations between ATS and weight status. More consistency in using a more objective assessment of this exposure variable in future studies would help to establish the association in relation to ATS.

This is the first systematic review to report the relationship between ATS and HRF in youth. In addition, the assessment of study eligibility and quality was conducted independently by two authors and consensus was reached for every decision. However, the limitations of this review should be noted. First, the measurement and classification of ATS were different across studies, which may explain some of the inconsistencies found. Second, the quality assessment was not extensive and additional criteria may provide additional insights. Finally, the search strategy was limited to published studies identified through the selected search engines. As more studies continue to be published, it will be important to reconsider and refine these findings. Despite these shortcomings, it seems that the majority of higher quality studies reported consistent associations between ATS and the important health indexes of weight status/body composition and cardiorespiratory fitness. With such health benefits for children, the promotion of ATS provides a real opportunity for public health interventions to tackle the double challenge of obesity and poor fitness.


There is some evidence to suggest that active travel to school is associated with a healthier body composition and level of cardiorespiratory fitness among youth. However, as this review included only two longitudinal studies, more interventions and longitudinal studies exploring the relationship between changes in health-related fitness and active travel are needed to investigate the causal nature of such relationships. While it is important that researchers continue to monitor children and adolescents school transportation behaviours, there is a need to broaden the research on young people's active transport to include journeys to destinations other than school, e.g. walking/cycling trips from home to a variety of neighbourhood destinations. Distance to school has been identified as a barrier to active transportation [50] and public health strategies promoting active transportation to more proximal destinations are clearly warranted.


  1. 1.

    Mellin AE, Neumark-Sztainer D, Story M, Ireland M, Resnick MD: Unhealthy behaviors and psychosocial difficulties among overweight adolescents: The potential impact of familial factors. J Adolesc Health. 2002, 31 (2): 145-153. 10.1016/S1054-139X(01)00396-2.

    Article  Google Scholar 

  2. 2.

    Tremblay MS, Williams JD: Is the Canadian childhood obesity epidemic related to physical inactivity?. Int J Obes Relat Metab Disord. 2003, 27: 1100-1105. 10.1038/sj.ijo.0802376.

    CAS  Article  Google Scholar 

  3. 3.

    Baker JL, Olsen LW, Sorensen TIA: Childhood body-mass index and the risk of coronary heart disease in adulthood. N Engl J Med. 2007, 357 (23): 2329-2337. 10.1056/NEJMoa072515.

    CAS  Article  Google Scholar 

  4. 4.

    Westerterp KR, Speakman JR: Physical activity energy expenditure has not declined since the 1980s and matches energy expenditures of wild mammals. Int J Obes. 2008, 32: 1256-1263. 10.1038/ijo.2008.74.

    CAS  Article  Google Scholar 

  5. 5.

    Van der Ploeg HP, Merom D, Corpuz G, Bauman AE: Trends in Australian children traveling to school 1971-2003: Burning petrol or carbohydrates?. Prev Med. 2008, 46 (1): 60-62. 10.1016/j.ypmed.2007.06.002.

    Article  Google Scholar 

  6. 6.

    McDonald NC: Active transportation to school: trends among U.S. school children, 1969-2001. Am J Prev Med. 2007, 32 (6): 509-516. 10.1016/j.amepre.2007.02.022.

    Article  Google Scholar 

  7. 7.

    Buliung RN, Mitra R, Faulkner G: Active school transportation in the Greater Toronto Area, Canada: An exploration of trends in space and time (1986-2006). Prev Med. 2009, 48: 507-512. 10.1016/j.ypmed.2009.03.001.

    Article  Google Scholar 

  8. 8.

    Tudor-Locke C, Ainsworth BE, Adair LS, Popkin BM: Objective physical activity of Filipino youth stratified for commuting mode to school. Med Sci Sports Exerc. 2003, 35 (3): 465-471. 10.1249/01.MSS.0000053701.30307.A6.

    Article  Google Scholar 

  9. 9.

    Davison KK, Werder JL, Lawson CT: Children's active commuting to school: current knowledge and future directions. Prev Chronic Dis. 2008, 5 (3): []

    Google Scholar 

  10. 10.

    Faulkner GEJ, Buliung RN, Flora PK, Fusco C: Active school transport, physical activity levels and body weight of children and youth: A systematic review. Prev Med. 2009, 48: 3-8. 10.1016/j.ypmed.2008.10.017.

    Article  Google Scholar 

  11. 11.

    Lee MC, Orenstein MR, Richardson MJ: Systematic review of active commuting to school and children's physical activity and weight. J Phys Act Health. 2008, 5: 930-949.

    Google Scholar 

  12. 12.

    Higgins JPT, Green S, (editors): Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.2 [updated September 2009]: The Cochrane Collaboration. 2009, []

    Google Scholar 

  13. 13.

    Armstrong N, McManus A: Children's fitness and physical activity: A challenge for physical education. Br J Teach Phys Educ. 1994, 25 (1): 20-26.

    Google Scholar 

  14. 14.

    Janssen I: Physical activity guidelines for children and youth. Appl Physiol Nutr Metab. 2007, 32: S109-S121. 10.1139/H07-109.

    Article  Google Scholar 

  15. 15.

    Andersen LB, Lawlor DA, Cooper AR, Froberg K, Anderssen SA: Physical fitness in relation to school in adolescents: the Danish youth and sports study. Scand J Med Sci Sports. 2009, 19: 406-411. 10.1111/j.1600-0838.2008.00803.x.

    CAS  Article  Google Scholar 

  16. 16.

    Moher D, Cook DJ, Eastwood S, Olkin S, Rennie D, Stroup DF: Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement. Lancet. 1999, 354 (27): 1896-1900. 10.1016/S0140-6736(99)04149-5.

    CAS  Article  Google Scholar 

  17. 17.

    von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, for the STROBE initiative: The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Prev Med. 2007, 370 (9596): 1453-1457.

    Google Scholar 

  18. 18.

    Sallis JF, Prochaska JJ, Taylor WC: A review of correlates of physical activity of children and adolescents. Med Sci Sports Exerc. 2000, 32 (5): 963-975. 10.1097/00005768-200005000-00014.

    CAS  Article  Google Scholar 

  19. 19.

    Evenson KR, Huston SL, McMillen BJ, Bors P, Ward DS: Statewide prevalence and correlates of walking and bicycling to school. Arch Pediatr Adolesc Med. 2003, 157 (9): 887-892. 10.1001/archpedi.157.9.887.

    Article  Google Scholar 

  20. 20.

    Gordon-Larsen P, Nelson MC, Beam K: Associations among active transportation, physical activity, and weight status in young adults. Obes Res. 2005, 13 (5): 868-875. 10.1038/oby.2005.100.

    Article  Google Scholar 

  21. 21.

    Fulton JE, Shisler JL, Yore MM, Caspersen CJ: Active transportation to school: Findings from a national survey. Res Q Exerc Sport. 2005, 76 (3): 352-357.

    Google Scholar 

  22. 22.

    Sirard JR, Riner WF, Mciver K, Pate RR: Physical activity and active commuting to elementary school. Med Sci Sports Exerc. 2005, 37 (12): 2062-2069. 10.1249/01.mss.0000179102.17183.6b.

    Article  Google Scholar 

  23. 23.

    Rosenberg DE, Sallis JF, Conway TL, Cain KL, McKenzie TL: Active transportation to school over 2 years in relation to weight status and physical activity. Obes Res. 2006, 14 (10): 1771-1776. 10.1038/oby.2006.204.

    Article  Google Scholar 

  24. 24.

    Saksvig BI, Catellier DJ, Pfeiffer K, Schmitz KH, Conway TL, Going S, Ward D, Strikmiller P, Treuth M: Travel by walking before and after school and physical activity among adolescent girls. Arch Pediatr Adolesc Med. 2007, 161: 153-158. 10.1001/archpedi.161.2.153.

    Article  Google Scholar 

  25. 25.

    Madsen KA, Gosliner W, Woodward-Lopez G, Crawford PB: Physical activity opportunities associated with fitness and weight status among adolescents in low-Income communities. Arch Pediatr Adolesc Med. 2009, 163 (11): 1014-1021. 10.1001/archpediatrics.2009.181.

    Google Scholar 

  26. 26.

    Metcalf B, Voss L, Jeffery A, Perkins J, Wilkin T: Physical activity cost of the school run: impact on school children of being driven to school. BMJ. 2004, 329: 832-833. 10.1136/bmj.38169.688102.F71.

    Article  Google Scholar 

  27. 27.

    Ford P, Bailey R, Coleman D, Woolf-May K, Swaine I: Activity levels, dietary energy intake, and body composition in children who walk to school. Pediatr Exerc Sci. 2007, 19: 393-407.

    Google Scholar 

  28. 28.

    Baig F, Hameed MA, Shorthouse G, Roalfe AK, Daley A: Association between active commuting to school, weight and physical activity status in ethnically diverse adolescents predominately living in deprived communities. Pub Health. 2009, 123: 39-41. 10.1016/j.puhe.2008.08.004.

    CAS  Article  Google Scholar 

  29. 29.

    Voss C, Sandercock G: Aerobic fitness and mode of travel to school in English school children. Med Sci Sports Exerc. 2010, 42 (2): 281-287. 10.1249/MSS.0b013e3181b11bdc.

    Article  Google Scholar 

  30. 30.

    De Bourdeaudhuij I, Leferve J, Deforche B, Wijndaele K, Matton L, Philippaerts R: Physical activity and psychosocial correlates in normal weight and overweight 11 to 19 year olds. Obes Res. 2005, 13 (6): 1097-1105. 10.1038/oby.2005.128.

    Article  Google Scholar 

  31. 31.

    Klein-Platat C, Oujaa M, Wagner A, Haan MC, Arveiler D, Schlienger JL, Simon C: Physical activity is inversely related to waist circumference in 12-y-old French adolescents. Int J Obes. 2005, 29: 9-14. 10.1038/sj.ijo.0802740.

    CAS  Article  Google Scholar 

  32. 32.

    Cooper AR, Wedderkopp H, Wang LB, Andersen K, Froberg K, Page AS: Active travel to school and cardiovascular fitness in Danish children and adolescents. Med Sci Sports Exerc. 2006, 38 (10): 1724-1731. 10.1249/01.mss.0000229570.02037.1d.

    Article  Google Scholar 

  33. 33.

    Cooper AR, Wedderkopp N, Jago R, Kristensen PL, Moller NC, Froberg K, Page AS, Andersen LB: Longitudinal associations of cycling to school with adolescent fitness. Prev Med. 2008, 47: 324-328. 10.1016/j.ypmed.2008.06.009.

    Article  Google Scholar 

  34. 34.

    Mota J, Gomes H, Almeida M, Ribeiro JC, Carvalho J, Santos MP: Active versus passive transportation to school - differences in screen time, socio-economic position and perceived environmental characteristics in adolescent girls. Ann Hum Biol. 2007, 34 (3): 273-282. 10.1080/03014460701308615.

    Article  Google Scholar 

  35. 35.

    Mota J, Riberio J, Santos MP, Gomes H: Obesity, physical activity, computer use, and TV viewing in Portuguese adolescents. Pediatr Exerc Sci. 2006, 17: 113-121.

    Google Scholar 

  36. 36.

    Timperio A, Ball K, Salmon J, Roberts R, Giles-Corti B, Simmons D, Baur LA, Crawford D: Personal, family, social, and environmental correlates of active commuting to school. Am J Prev Med. 2006, 30 (1): 45-51. 10.1016/j.amepre.2005.08.047.

    Article  Google Scholar 

  37. 37.

    Yeung J, Wearing S, Hills AP: Child transport practices and perceived barriers in active commuting to school. Transp Res Part A. 2008, 42: 895-900.

    Google Scholar 

  38. 38.

    Li Y, Zhai F, Yang X, Schouten EG, Hu X, He Y, Luan D, Ma G: Determinants of childhood overweight and obesity in China. Br J Nutr. 2007, 97: 210-215. 10.1017/S0007114507280559.

    CAS  Article  Google Scholar 

  39. 39.

    Ortega FB, Tresaco B, Ruiz JR, Moreno LA, Martin-Matillas M, Mesa JL, Warnberg J, Bueno M, Tercedor P, Gutierrez A, et al: Cardiorespiratory fitness and sedentary activities are associated with adiposity in adolescents. Obes. 2007, 15 (6): 1589-1599. 10.1038/oby.2007.188.

    Article  Google Scholar 

  40. 40.

    Landsberg B, Plachta-Danielzik S, Much D, Johannsen M, Lange D, Muller MJ: Associations between active commuting to school, fat mass and lifestyle factors in adolescents: the Kiel Obesity Prevention Study (KOPS). Eur J Clin Nutr. 2008, 62: 739-747. 10.1038/sj.ejcn.1602781.

    CAS  Article  Google Scholar 

  41. 41.

    Robertson-Wilson JE, Leatherdale ST, Wong SL: Social-ecological correlates of active commuting to school among high school students. J Adolesc Health. 2008, 42: 486-495. 10.1016/j.jadohealth.2007.10.006.

    Article  Google Scholar 

  42. 42.

    Silva KS, Lopes AS: Excess weight, arterial pressure and physical activity in commuting to school: Correlations. Arq Bras Cardiol. 2008, 91 (2): 84-91.

    Google Scholar 

  43. 43.

    Heelan KA, Donnelly JE, Jacobsen DJ, Mayo MS, Washburn R, Greene L: Active commuting to and from school and BMI in elementary school children - preliminary data. Child Care Health Dev. 2005, 31 (3): 341-349. 10.1111/j.1365-2214.2005.00513.x.

    CAS  Article  Google Scholar 

  44. 44.

    Chillón P, Ortega FB, Ruiz JR, Veidebaum T, Oja L, Mäestu J, Sjöström M: Active commuting to school in children and adolescents: An opportunity to increase physical activity and fitness. Scand J Public Health. 2010, 38 (8): 873-879.

    Article  Google Scholar 

  45. 45.

    Page AS, Cooper AR, Griew P, Jago R: Independent mobility, perceptions of the built environment and children's participation in play, active travel and structured exercise and sport: the PEACH Project. Int J Behav Nutr Phys Act. 2010, 7 (17).

  46. 46.

    Jones AP, Coombes EG, Griffin SJ, van Sluijs EM: Environmental supportiveness for physical activity in English schoolchildren: a study using Global Positioning Systems. Int J Behav Nutr Phys Act. 2009, 6 (42).

  47. 47.

    Kelly P, Foster C: A new technology for measuring our journeys: results from a pilot study. International Society for the Study of Behavioral Nutrition and Physical Activity 2010 Annual Meeting: June 9-12, 2010: 2010. 2010, Minneapolis, Minnesota, USA

    Google Scholar 

  48. 48.

    Panter JR, Jones AP, van Sluijs EM: Environmental determinants of active travel in youth: A review and framework for future research. Int J Behav Nutr Phys Act. 2008, 5 (34).

  49. 49.

    Foster C, Cowburn G, Allender S: Interventions for promoting physical activity to children and young people: Review of qualitative studies. 2008, London: NICE

    Google Scholar 

  50. 50.

    Wen LM, Fry D, Rissel C, Dirkis H, Balafas A, Merom D: Factors associated with children being driven to school: implications for walk to school programs. Health Educ Res. 2008, 23 (2): 325-334. 10.1093/her/cym043.

    Article  Google Scholar 

Download references

Author information



Corresponding author

Correspondence to David R Lubans.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

DRL and CEF conducted the literature search. DRL and PK evaluated the quality of included studies. All authors contributed the editing and approving of the final version of the paper.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Lubans, D.R., Boreham, C.A., Kelly, P. et al. The relationship between active travel to school and health-related fitness in children and adolescents: a systematic review. Int J Behav Nutr Phys Act 8, 5 (2011).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Weight Status
  • Cardiorespiratory Fitness
  • Active Transportation
  • Active Travel
  • Parental Proxy Report