- MVPA
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moderate-to-vigorous physical activity
- TV
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television
- VPA
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vigorous physical activity
Global data suggest that overweight and obesity affects almost every nation and every age group in the world with an almost doubling of obesity rates during the last 20 years( Reference Lim, Vos and Flaxman 1 ). The obesity epidemic also affects infants, children and adolescents. Despite some recent reports suggesting a levelling off of the prevalence of overweight and obesity in young people( Reference Olds, Maher and Zumin 2 , Reference Ogden, Caroll and Kit 3 ), childhood obesity rates have reached alarming proportions even in developing countries( Reference Gupta, Goel and Shah 4 ). Obesity is multifactorial including genetic, pre- and post-natal factors, physiological, cultural, environmental, lifestyle and socio-economic factors, possibly acting differentially on the development of unhealthy weight gain and obesity throughout the life course. The main contributor to the recent obesity epidemic is most likely an imbalance between energy intake and energy expenditure. Physical activity is the most variable component of total energy expenditure and recent reports suggest that approximately 30–40 % of young people are physically active according to public health recommendations when assessed by self-report( Reference Ekelund, Tomkinson and Armstrong 5 , Reference Hallal, Andersen and Bull 6 ). However, studies using direct measures of physical activity by accelerometry are extremely divergent with prevalence values for sufficiently active young people varying between 1 and 100 % depending on the definition of moderate- and vigorous-intensity physical activity( Reference Ekelund, Tomkinson and Armstrong 5 ). While it is likely that physical activity levels have declined (and sedentary time increased) over time in young people, trend data on sufficiently active young people are scarce( Reference Ekelund, Tomkinson and Armstrong 5 , Reference Hallal, Andersen and Bull 6 ). Furthermore, ecological observations can only be used to generate hypotheses about associations between physical activity, sedentary time and adiposity.
This review aims to discuss the role of physical activity and sedentary behaviours in relation to adiposity during the first two decades of life. The review is restricted to observational studies in which physical activity and sedentary time have been measured objectively or studies that have measured physical activity objectively and television (TV)-viewing by self-report. First, we will discuss whether physical activity may mediate or moderate associations between birth weight and early life growth and later levels of adiposity and related health outcomes; we will thereafter summarise the literature if physical activity predicts gain in adiposity in young people; the independent associations between objectively measured sedentary time, physical activity and adiposity; whether sedentary behaviour (usually assessed by time spent viewing TV) is associated with adiposity independent of objectively measured physical activity and finally; whether the association between physical activity and excessive gains in adiposity may be bi-directional or reverse.
Does physical activity mediate or moderate the association between early life factors and later adiposity?
According to the developmental origins of adult disease hypothesis, exposures to unfavourable environmental conditions during development in utero or during the early post-natal period programme physiological and metabolic changes that increase the risk of developing diseases later in life( Reference Barker, Gluckman and Godfrey 7 ). There is now a large body of evidence from cohort studies suggesting that low birth weight, or thinness, at birth is associated with increased risk of hypertension, diabetes, CVD and all-cause mortality in adulthood( Reference Whincup, Kaye and Owen 8 – Reference Risnes, Vatten and Barker 11 ). Furthermore, low birth weight appears to be associated with higher percentage body fat( Reference Elia, Betts and Jackson 12 ) and central adiposity in childhood( Reference Dolan, Sorkin and Hoffman 13 ), which is coherent with studies in adults showing a higher metabolic risk associated with low birth weight. Similarly, high birth weight appears to increase the risk of obesity and some cancers( Reference Rugholm, Baker and Olsen 14 , Reference Xue and Michels 15 ). However, the associations are complex such as a positive association between birth weight and body weight (or BMI) may reflect an association between both greater fat mass and fat-free mass. Some data using more detailed measures of body composition indicate that birth weight may be more strongly associated with fat-free mass than fat mass( Reference Rogers 16 ).
Rapid weight gain in infancy and in early childhood has also been consistently associated with increased risk of overweight and obesity later in childhood. A recent meta-analysis suggested that each +1 unit increase in weight sd scores between birth and 1 year conferred a twofold risk of childhood obesity and a 23 % increased risk of adult obesity independent of sex, age and birth weight( Reference Druet, Stettler and Sharp 17 ). Interestingly, rapid weight gain between ages 3 and 6 years appears also independently associated with increased fat mass and central adiposity in late adolescence and young adulthood( Reference Ekelund, Ong and Neovius 18 ) suggesting that both infancy and childhood rapid weight gain is an independent risk factor for later obesity. The question then arises whether physical activity can act as a potential mediator or moderator of the association between early growth and later body composition?
It has been hypothesised that physical activity may be on the causal pathway between early life factors and later obesity( Reference Mattocks, Ness and Deere 19 ). It has also been hypothesised that higher levels of physical activity may be beneficial in attenuating the associations between low birth weight and adult metabolic risk including adiposity( Reference Laaksonen, Lakka and Lynch 20 ). Using data from the European Youth Heart Study, Ridgway et al.( Reference Ridgway, Brage and Anderssen 21 ) observed that higher birth weight was independently associated with higher fat mass index (kg/m2) and greater waist circumference in 9- and 15-year-old children, whereas low birth weight was associated with insulin resistance. However, the latter association was only observed following additional adjustment for current abdominal adiposity (i.e. waist circumference). Interestingly, there was no evidence that objectively measured physical activity or aerobic fitness markedly attenuated or modified the associations between birth weight and later adiposity or insulin resistance( Reference Ridgway, Brage and Anderssen 21 ). In contrast, others have suggested that physical activity modified the association between birth weight and insulin resistance in young people( Reference Ortega, Ruiz and Hurtig-Wennlöf 22 ). Apparently, this modifying effect was observed following adjustment for current BMI. Interpreting associations or effect modifications for the association between birth weight and health outcomes later in life which are significant only after adjustment for current levels of body size (e.g. BMI) may suggest that the association is due to change in size (e.g. weight centile crossing) between the time points rather than early programming( Reference Lucas, Fewtrell and Cole 23 ). Taken together, future studies are needed to examine the potential mediating or modifying effects of physical activity on the relationship between birth weight, infant and childhood rapid weight gain and later adiposity and impaired metabolic health.
Does physical activity predict gain in adiposity?
The development of small, light-weight movement sensors aimed at measuring heart rate, body acceleration or a combination of both during the last 10–20 years have markedly enhanced our understanding about habitual physical activity and its association with health outcomes in young people( Reference Steele, Brage and Corder 24 ). Data from studies using objective measures of physical activity have provided compelling evidence of a strong inverse cross-sectional association between physical activity and body weight, fat mass and obesity in children and young people( Reference Jimenez-Pavon, Kelly and Reilly 25 , Reference Sijtsma, Sauer and Stolk 26 ). However, observational studies in young people examining the prospective association between objectively measured physical activity or physical activity energy expenditure and gain in adiposity are ambiguous( Reference Wilks, Besson and Lindroos 27 , Reference Riddoch, Leary and Ness 28 ). Wilks et al.( Reference Wilks, Besson and Lindroos 27 ) summarised results from ten prospective observational studies and four trials in which physical activity or physical activity energy expenditure were measured at baseline in children and adolescents by accelerometry and doubly labelled water, respectively, and change in percentage body fat was the extracted outcome. Six (60 %) of the observational studies reported no association between baseline physical activity and change in body fat, one study reported a weak positive association and three studies a weak negative association. Negative associations were more frequently observed in those studies that analysed the association between the change in exposure and outcome. Intervention studies showed generally no effect on body fat and the authors concluded that despite the consistently established health effects of physical activity in young people, it may not be a key determinant of excessive gain in adiposity. This was contrasted by the results from one of the largest prospective studies so far using data from the Avon Longitudinal Study of Parents and Children (ALSPAC). This study followed 4150 children for 2 years between ages 12 and 14 years. Using a multilevel modelling approach an increase of 15 min moderate-to-vigorous physical activity (MVPA) per day at age 12 years was associated with approximately 1 kg (10–12 %) lower total fat mass at age 14 years( Reference Riddoch, Leary and Ness 28 ). Given the fairly low levels of time spent in MVPA in these young people (median 20 min/d), a substantial increase in MVPA of about 75 % is needed for lowering fat mass by about 1 kg over 2 years. The inverse association between baseline time in MVPA and gain in adiposity, suggesting that higher levels of MVPA are associated with lower gains in adiposity, was also observed in two recent studies( Reference Fisher, Hill and Webber 29 , Reference Mitchell, Pate and España-Romero 30 ) that simultaneously adjusted their analyses for time spent sedentary. Fisher et al.( Reference Fisher, Hill and Webber 29 ) examined the prospective associations between MVPA and total physical activity with adiposity in 8–10-year-old UK children during a 1-year period and concluded that baseline MVPA was significantly associated with BMI and fat mass index at follow-up independent of sedentary time. No data were reported on whether sedentary time was associated with adiposity independent of MVPA in that study. Similarly, Mitchell et al. ( Reference Mitchell, Pate and España-Romero 30 ) used quantile regression analysis to examine the longitudinal associations between time in MVPA and BMI across percentiles of BMI. They observed that MVPA was inversely and independently associated with BMI and that the magnitude of association was greater at higher BMI percentiles. Data from the same cohort also concluded that sedentary time was associated with BMI independent of time spent in MVPA( Reference Mitchell, Pate and Beets 31 ) (see later).
Sedentary time, physical activity and adiposity: independent associations?
More recently, sedentary behaviour and sedentary time has emerged as a risk factor for overweight, obesity and other health outcomes. However, relatively few studies have examined the associations between sedentary time and sedentary behaviour (i.e. TV-viewing) with markers of adiposity with mutual adjustment for objectively measured physical activity. Adjusting sedentary time for total physical activity time is statistically impossible as these two variables are by definition perfectly inversely correlated. Therefore, most of the studies have adjusted their analyses for sub-components of physical activity such as time spent in MVPA or vigorous physical activity (VPA). Although these sub-components are inversely associated with sedentary time their correlation with sedentary time is usually weaker than between sedentary time and light-intensity physical activity and rarely introduces issues of multicollinearity.
Table 1 summarises observational studies that have examined the independent associations between sedentary time, physical activity and obesity indicators in children and adolescents aged 3–18 years. All studies reviewed have adjusted the association between sedentary time and obesity for time spent in moderate- and vigorous-intensity physical activity; most of the studies also examined the association between MVPA and obesity indicators following adjustment for sedentary time.
DXA, dual-energy X-ray absorptiometry; FFM, fat-free mass; FM, fat mass; FMI, fat mass index; LPA, light-intensity physical activity; MPA, moderate-intensity physical activity; MVPA, moderate and vigorous intensity physical activity; PA, physical activity; SES, socio-economic status; SED, sedentary; TV, television; VPA, vigorous intensity physical activity; WC, waist circumference; SPEEDY, Sport, Physical activity and Eating Behaviour: Environmental Determinants in Young People; CHAMPS, The Children's Activity and Movement in Preschool Study; EDPAPC, the Environmental Determinants of Physical Activity in Preschool Children.
Six( Reference Steele, van Sluijs and Cassidy 32 – Reference Chaput, Lambert and Mathieu 37 ) cross-sectional studies were identified including between 398 and 20 871 participants. All studies assessed physical activity by accelerometry and outcome measures were BMI, BMI z-score, waist circumference and body composition (e.g. fat mass index and trunk fat mass index) measured by either bioimpedance or dual-energyX-ray absorptiometry. All studies consistently showed significant inverse associations between objectively measured time spent in MVPA with various measures of adiposity independent of time spent sedentary. Keeping in mind that different studies used different accelerometer intensity thresholds for defining MVPA, the magnitude of associations appeared stronger for more vigorous-intensity physical activity compared with moderate levels of activity. For example, Collings et al.( Reference Collings, Brage and Ridgway 33 ) showed that VPA was strongly inversely associated with all adiposity outcomes independent of age, sex, birth weight, maternal education, maternal BMI, smoking during pregnancy, sleep duration and sedentary time in 4-year-old UK children. Furthermore, the association between MVPA and adiposity was explained by the vigorous intensity component of MVPA rather than moderate intensity activity. In a large UK study in 12-year-old children (the Avon Longitudinal Study of Parents and Children, n 5434) it was shown that for each 15 min MVPA the odds of obesity (defined as the top 10 % of fat mass) was 46 % lower, independent of sedentary time and confounders( Reference Mitchell, Mattocks and Ness 34 ). Consistently, most of the studies reported a positive association between sedentary time and adiposity outcomes. However, these associations were completely attenuated following adjustment for time spent in moderate- or vigorous-intensity physical activity, suggesting that sedentary time is unrelated to adiposity when physical activity is taken into account in cross-sectional analyses.
Two( Reference Basterfield, Pearce and Adamson 38 , Reference Kwon, Burns and Levy 39 ) prospective cohort studies confirmed the results from the cross-sectional studies summarised earlier. Basterfield et al.( Reference Basterfield, Pearce and Adamson 38 ) followed 403 UK children aged 7 years at baseline for 2 years and concluded that a decline in MVPA was associated with a greater increase in adiposity whereas an increase in sedentary time was unrelated to an increase in adiposity. The associations were markedly stronger in boys compared with girls. This study examined change in the exposure (e.g. MVPA) with change in the outcome (e.g. fat mass index) which could be regarded as a cross-sectional analysis despite the prospective study design. Kwon et al.( Reference Kwon, Burns and Levy 39 ) examined the associations between MVPA, sedentary and body fat mass measured by dual-energy X-ray absorptiometry in up to 554 US children over a 9-year period using a multilevel modelling approach. In these analyses, MVPA was strongly inversely associated with fat mass independent of sedentary time whereas sedentary time was not associated with fat mass in mutually adjusted models.
Conversely, a recent study in US children (n 789) aged 9 years at baseline followed for 6 years used quantile regression analysis to examine whether the association between sedentary time and BMI differed by BMI percentile( Reference Mitchell, Pate and Beets 31 ). The results showed that baseline sedentary time was associated with greater increase in BMI at the 90th, 75th and 50th percentiles with greater magnitude of associations for higher BMI percentiles. These results were independent of time spent in MVPA and suggest that sedentary time may be differently associated with BMI across BMI percentiles. As previously mentioned, Mitchell et al., using the same dataset and the same analytical approach, showed that baseline time spent in MVPA was negatively associated with gain in BMI between ages 9 and 15 years independent of sedentary time and that the associations were greater in magnitude at the upper tail of the BMI distribution( Reference Mitchell, Pate and España-Romero 30 ). The results from these two studies in combination therefore suggest that both sedentary time and MVPA is prospectively associated with BMI when mutually adjusted.
The available data are limited to a few developed countries (i.e. UK and USA) and additional data from developing countries would be useful to further understand the importance of various intensities of physical activity in prevention of unhealthy body fat in young people globally. Despite this, the evidence from cross-sectional analyses is consistent in that time spent in MVPA is associated with adiposity independent of sedentary time. Although there is conflicting evidence from prospective studies whether time in MVPA is a predictor of gain in adiposity( Reference Wilks, Besson and Lindroos 27 – Reference Mitchell, Pate and España-Romero 30 ), with a few exceptions( Reference Mitchell, Pate and Beets 31 ) it appears that time spent sedentary is unrelated to gain in adiposity when time spent in MVPA is taken into account( Reference Basterfield, Pearce and Adamson 38 , Reference Kwon, Burns and Levy 39 ). Taken together, the evidence that higher levels of physical activity prevent unhealthy weight gain in young people is conflicting and therefore well-conducted large-scale cohort studies including repeated measures of precisely measured physical activity, adiposity and potentially confounding factors are warranted to fully understand the amount and intensity of physical activity needed to prevent excessive levels of body fat in young people. Meanwhile, it appears that the magnitude of association between physical activity and adiposity is greater for more vigorous intensity activity. This may then suggest that more vigorous intensity activity should be promoted in relation to adiposity in young people.
Television-viewing, physical activity and adiposity: independent associations?
The apparent lack of evidence for an association between objectively measured sedentary time and adiposity indicators following adjustment for time spent in MVPA then raises the question whether specific sedentary behaviours rather than the total time spent sedentary are related to body fat in young people? In large-scale cohort studies, self-reported time spent watching TV is usually used as a proxy marker of sedentary behaviour. Recent reviews( Reference Marshall, Biddle and Gorely 40 – Reference Tremblay, LeBlanc and Kho 42 ) have concluded that TV-viewing is significantly associated with obesity and body fat, although one of these reported that this association was not likely to be clinically relevant( Reference Marshall, Biddle and Gorely 40 ). However, few of the studies included in these reviews adjusted their analyses for objectively measured physical activity.
Table 2 summarises studies that have examined associations between TV-viewing with adiposity in young people and statistically adjusted their analyses for objectively measured physical activity. Six cross-sectional studies( Reference Janz, Levy and Burns 43 – Reference Mendoza, McLeod and Chen 48 ) were identified including 96–2200 children and adolescents aged between 3 and 18 years. All studies were of European or North American origin and only one study specifically focused on ethnic minority children( Reference Kwon, Janz and Burns 51 ). Janz et al.( Reference Janz, Levy and Burns 43 ) examined the independent associations between physical activity and parentally reported TV-viewing in 4–6-year-old US children in relation to adiposity indicators derived from dual-energy X-ray absorptiometry measurements. TV-viewing was associated with body fat percentages in boys and with body fat percentages and fat mass in girls after adjustment for VPA. However, VPA was significantly and inversely associated with all adiposity variables and explained a larger proportion of the variation in these outcomes. Mendoza et al.( Reference Mendoza, McLeod and Chen 48 ) did not observe any associations for TV-viewing after adjustment for MVPA in Latino pre-school children whereas MVPA was inversely associated with BMI z-score. Colley et al.( Reference Colley, Wong and Garriguet 46 ) analysed data from the Canadian health Measures Survey (n 878) and reported that MVPA was significantly associated with BMI and waist circumference after adjustment for self-reported screen time (TV-viewing, video game plus computer use), whereas no association was observed between screen time and adiposity variables. In another relatively large-scale study in Swedish children and adolescents (n 1073) it was observed that those with the lowest levels of VPA had significantly higher odds of being overweight or overfat compared with those with the highest levels of VPA independent of TV-viewing and other confounders. Again, there was no independent association between TV-viewing and adiposity( Reference Ortega, Ruiz and Sjöström 45 ). In contrast, a large-scale (n 2200) European study (Healthy Lifestyle in Europe by Nutrition) comprising adolescents aged between 12·5 and 17·5 years suggested that watching TV for >2 h/d in girls and >4 h/d in boys was associated with significantly higher odds of being categorised as overweight independent of objectively measured time in MVPA; no association for time in MVPA and the risk of being overweight or overfat was reported( Reference Rey-Lopez, Ruiz and Vincente-Rodriguez 47 ). Similar results were reported in Canadian 8–10-year-old children (n 536). In that study, self-reported screen time (TV-viewing, video game and computer use) was positively associated with waist circumference independent of measured time in MVPA, whereas accelerometry sedentary time was unrelated with waist circumference. The authors concluded that the type of sedentary behaviour may be more important than the overall time spent sedentary in relation to metabolic risk factors( Reference Chaput, Lambert and Mathieu 37 ). Finally, data from the European Youth Heart Study (n 1485) also suggested that TV-viewing time was positively associated with total adiposity measured as the sum of four skinfolds independent of accelerometry measured total physical activity and other confounding factors( Reference Ekelund, Brage and Froberg 44 ).
DXA, dual-energy X-ray absorptiometry; FM, fat mass; HR, Heart rate; MPA, moderate-intensity physical activity; MVPA, moderate and vigorous intensity physical activity; PA, physical activity; SES, socio-economic status; SED, sedentary; VPA, vigorous intensity physical activity; WC, waist circumference; IOTF, International Obesity Task Force.
Two longitudinal studies examining the prospective association between TV-viewing and adiposity variables independent of physical activity were identified. Both studies examined these associations in US children and data were collected in the late 1980s or early 1990s. Proctor et al.( Reference Proctor, Moore and Gao 49 ) followed 106 children from the Framingham Children's Study for 7 years and calculated body fat from skinfold measurements. They did not observe any significant P for trend in adjusted models for the association between TV-viewing and body fat when total movement was taken into account. However, there was significant differences when comparing extreme groups of TV-viewing (<1·75 h/d v. >3 h/d) for both BMI and sum of skinfolds with the high viewing group gaining more body fat. Jago et al.( Reference Jago, Baranowski and Baranowski 50 ), followed 149 children aged 3–4 years at baseline for 3 years. TV-viewing time was assessed by direct observation simultaneously with minute-by-minute heart rate recording for assessing time spent in MVPA. The results suggested that TV time was positively associated and MVPA negatively associated with BMI.
In summary, whether the association between TV-viewing and adiposity variables is independent of objectively measured physical activity remains inconclusive. Studies suggesting that the association between TV-viewing time and adiposity is not entirely attenuated following adjustment for time spent in MVPA indicate that the positive association between TV-viewing and body fat or development of obesity may be mediated or confounded by other behaviours, such as unconscious snacking while watching TV. A few studies have examined a potential mediating effect of dietary intake or snacking while watching TV on the association between TV-viewing and adiposity variables. Ekelund et al. ( Reference Ekelund, Brage and Froberg 44 ) observed an association between TV-viewing and adiposity in European young people independent of total physical activity. However, this association was attenuated when controlling for self-reported frequency of snacking suggesting that other behaviours associated with TV-viewing, and not sedentariness per se, may explain the association between TV-viewing and adiposity.
Physical activity, sedentary time and obesity: a reverse causality argument?
There is a general notion that higher levels of physical activity may prevent unhealthy gain in body weight and adiposity, as supported by the energy balance theory. However, recently this assumption has been challenged and some have suggested that physical activity at baseline is unrelated to weight gain at follow-up, but that the converse was true, since greater adiposity levels at baseline was significantly related to lower levels of physical activity or an increased risk of becoming sedentary at follow-up, suggesting reverse causality( Reference Ekelund, Luan and Sherar 35 , Reference Kwon, Janz and Burns 51 , Reference Metcalf, Hosking and Jeffery 52 ).
Kwon et al.( Reference Kwon, Janz and Burns 51 ) examined the associations between objectively measured time in MVPA by accelerometry, with gain in fat mass in 326 US children, in which objectively measured physical activity and fat mass was available at three time points. Time spent in MVPA did not predict fat mass at follow-up. In contrast, baseline fat mass significantly predicted decreased time in MVPA at follow-up, suggesting that adiposity level may be a determinant of lower levels of physical activity. A similar study in UK children examined the prospective associations between physical activity assessed by accelerometry and body fat percentages assessed by dual-energy X-ray absorptiometry( Reference Metcalf, Hosking and Jeffery 52 ). In total, 202 children aged 7 years at baseline were followed annually for 3 years until age 10 years. The authors modelled the associations between baseline physical activity and change in body fat by multiple linear regression adjusting for the earlier measure of the outcome (i.e. baseline body fat when physical activity was modelled as the exposure and vice versa). Over a 3-year period between 7 and 10 years baseline body fat was predictive of a decline in physical activity, whereas baseline activity did not predict subsequent changes in body fat. The authors concluded that physical inactivity may be the result of fatness rather than its cause. While these two studies may be somewhat limited by sample size, data from the International Children's Accelerometer Database( Reference Ekelund, Luan and Sherar 35 ) examining the prospective association between accelerometer measured sedentary time and waist circumference in 6413 youths partly confirmed these previous findings. In this study, neither time spent sedentary nor in MVPA predicted waist circumference at follow-up after adjustment for baseline waist circumference and additional confounders. In contrast, baseline abdominal adiposity significantly predicted higher levels of sedentary time 2 years later. However, the magnitude of association was small and may not be clinically relevant.
These results should be interpreted taking measurement precision of exposure and outcome variables into account. It is difficult to determine the direction of association in any observational study when the exposure and the outcome are measured with different degrees of precision. There is a marked difference in measurement precision between the measure of adiposity and that of physical activity or sedentary behaviour. When the more imprecise variable (physical activity) is used as the outcome, the magnitude of effect is estimated accurately, but with error. When the more imprecise variable is used as the exposure, the measure of effect is attenuated. Even when physical activity and sedentary time are measured objectively, the precision is lower compared with most measures of adiposity. This is because physical activity and sedentary time are usually only measured for a limited number of days and therefore only represent a snap-shot of the true activity levels of an individual. Thus, it is not surprising that baseline body weight or adiposity predicts follow-up physical activity or sedentary time, whereas because of measurement error, the reverse may not be detectable.
Selecting an appropriate marker of adiposity as the outcome variable is equally important when examining cross-sectional and temporal associations between physical activity, sedentary time and adiposity in young people. For example, the use of BMI as a surrogate for adiposity as the outcome variable is problematic in the paediatric population because the relative contribution of fat-free mass and fat mass to body weight vary by age, sex and pubertal status and increases in BMI during growth are largely due to increases in fat-free mass rather than fat mass( Reference Wells 53 , Reference Maynard, Wisemandle and Roche 54 ). Therefore, the use of fat mass index and fat-free mass index appears more appropriate as the outcome variable when identifying excess adiposity in young people( Reference Weber, Moore and Leonard 55 ). Finally, sedentary time, physical activity and body composition are all influenced by maturation and it appears appropriate to adjust analyses for maturation when examining associations between these variables.
Taken together, data from the reviewed studies suggest that the nature of the complex relationships between physical activity, sedentary time and gain in excessive adiposity may be either reverse or bidirectional. It may be that the direction of association between physical activity and sedentary time with change in adiposity differs by age, by the baseline prevalence of obesity in the population, and by whether the population examined is in energy balance or in a positive energy balance during the follow-up period. Furthermore, the association is complicated by the impact of energy intake on energy balance, an exposure even more difficult to measure accurately than physical activity in observational cohort studies.
Summary and future directions
The importance of sufficient amounts of physical activity for health and wellbeing in young people is undisputable. In this review, we have summarised parts of the current knowledge on the complex associations between physical activity, sedentary time and behaviour with adiposity in young people. While the data appear consistent in that sedentary time is unrelated to adiposity when time spent in physical activity, especially higher intensities of activity, is controlled for additional research is needed examining the mediating effect of other health behaviours associated with TV-viewing. Furthermore, it is unclear whether physical activity may mediate or modify the associations between early life factors such as birth weight and early rapid weight gain and adiposity. Future longitudinal studies including multiple, repeated, precise measures of the exposure and outcome variables starting from early age (before the amount of fat accumulated may hinder physical activity) are needed to address the issue of bidirectional or reverse causality. Furthermore, well-conducted cohort studies examining these associations while simultaneously controlling for the confounding effect of dietary intake and change in sexual maturity during adolescence are warranted.
Acknowledgements
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Financial Support
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Conflicts of Interest
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Authorship
U. E. performed the literature search and drafted the manuscript. M. H. and P. J. C. assisted with the literature search and critically revised the manuscript for intellectual content. All authors approved the final version of the manuscript.