This may seem a bit ‘no shit, Sherlock’ and probably it is, but in times when parents often bring their kids to school by car, it’s worth repeating. Do note the study shows a correlation, not a causal relation.
From the press release:
Children who regularly walk or cycle to school are less likely to be overweight or obese than those who travel by car or public transport, a new study suggests.
Based on results from more than 2000 primary-age schoolchildren from across London, the researchers found that walking or cycling to school is a strong predictor of obesity levels, a result which was consistent across neighbourhoods, ethnicities and socioeconomic backgrounds. The results are reported in the journal BMC Public Health.
The study, led by researchers from the University of Cambridge, is the first to assess the impact of physical activity on childhood overweight and obesity levels for primary schoolchildren by simultaneously relating two of the main types of extracurricular physical activity: daily commuting to school and frequency of participation in sport.
Instead of using Body-mass index (BMI) as a measure of obesity, the researchers measured body fat and muscle mass and assessed how these were correlated with physical activity levels. BMI is the most commonly-used metric to measure obesity levels due to its simplicity, however, it is limited as BMI looks at total weight, including ‘healthy’ muscle mass, rather than fat mass alone.
“Both BMI itself and the points at which high BMI is associated with poor health vary with age, sex and ethnicity,” said Lander Bosch, a PhD candidate in Cambridge’s Department of Geography, and the study’s first author. “While adjustments have been made in recent years to account for these variations, BMI remains a flawed way to measure the health risks associated with obesity.”
The current research is based on data from the Size and Lung Function in Children (SLIC) study, carried out at University College London between 2010 and 2013. More than 2000 London primary schoolchildren, from a range of ethnic and socioeconomic backgrounds, were included in the study, which looked at their physical activity levels, body composition and socioeconomic status.
Close to half of children in the study took part in sport every day, and a similar proportion actively commuted to school, travelling on foot, by bicycle or scooter. The researchers found that children who actively commuted to school had lower body fat, and therefore were less likely to be overweight or obese.
Paradoxically, using conventional BMI percentiles, children who took part in sport every day appeared more likely to be overweight or obese than those who engaged in sport less than once a week. However, when looking at fat mass and muscle mass separately, children who engaged in sport every day had significantly more muscle development, while their fat mass did not significantly differ.
“The link between frequent participation in sport and obesity levels has generated inconsistent findings in previous research, but many of these studies were looking at BMI only,” said Bosch. “However, when looking at body fat instead, we showed there was a trend whereby children who were not active were more likely to be overweight or obese. It’s likely that when looking at BMI, some inactive children aren’t classified as obese due to reduced muscle mass.”
The researchers say that it is vital to understand the relationship between obesity levels and different types of physical activity in order to develop informed policy measures that could contribute to the reversal of the childhood obesity epidemic.
“Our findings suggest that interventions promoting regular participation in sports, and particularly active commuting to school could be promising for combating childhood obesity – it’s something so easy to implement, and it makes such a big difference,” said Bosch.
Abstract of the study:
Body Mass Index (BMI) is a common outcome when assessing associations between childhood overweight and obesity and physical activity patterns. However, the fat and fat-free components of BMI, measured by the Fat Mass Index (FMI) and Fat-Free Mass Index (FFMI), may show contrasting associations with physical activity, while ethnic groups may vary in both physical activity patterns and body composition. Body composition must therefore be evaluated when assessing the associations between childhood overweight and obesity and physical activity in multi-ethnic populations.
This cross-sectional study investigated associations of BMI, FMI and FFMI z-scores with extracurricular physical activity for 2171 London primary schoolchildren (aged 5–11 years) of black, South Asian and white/other ethnicity. Multilevel mixed-effects ordered logistic modelling was used, adjusting for age, sex and family and neighbourhood socioeconomic status as potential confounders.
Controlling for ethnicity and individual, family and neighbourhood socioeconomic confounders, actively commuting children had significantly lower Odds Ratios for being in high BMI (Odds Ratio (OR) = 0.678; 95 % Confidence Interval (CI) = 0.531 − 0.865; p − value = 0.002) and FMI z-score groups (OR = 0.679; 95 % CI = 0.499 − 0.922; p = 0.013), but not FFMI z-score groups, than passive commuters. Children doing sports less than once a week had lower Odds Ratios for being in high BMI (OR = 0.435; 95 % CI = 0.236 − 0.802; p = 0.008) and FFMI (OR = 0.455; 95 % CI = 0.214 − 0.969; p = .041) z-score categories compared to daily active children. Differences in FMI between groups did not reach the significance threshold. A trend towards statistical significance was obtained whereby children’s complete inactivity was associated with higher odds for being in higher BMI (OR = 2.222 : 95 % CI = 0.977 − 5.052; p = .057) and FMI z-score groups (OR = 2.485 : 95 % CI = 0.961 − 6.429; p = .060). FFMI z-scores did not show a similar trend with complete inactivity.
Active commuting was objectively associated with lower adiposity, while more frequent extracurricular sports participation was correlated with greater fat-free mass accretion. These relationships were independent of ethnicity and individual, family or neighbourhood socioeconomic confounding factors.