Objective Little is known about levels of physical fitness in children from different ethnic groups in the UK. We therefore studied physical fitness in UK children (aged 9–10 years) of South Asian, black African–Caribbean and white European origin.
Design Cross-sectional study.
Setting Primary schools in the UK.
Participants 1625 children (aged 9–10 years) of South Asian, black African–Caribbean and white European origin in the UK studied between 2006 and 2007.
Outcome measures A step test assessed submaximal physical fitness from which estimated VO2 max was derived. Ethnic differences in estimated VO2 max were estimated using multilevel linear regression allowing for clustering at school level and adjusting for age, sex and month as fixed effects.
Results The study response rate was 63%. In adjusted analyses, boys had higher levels of estimated VO2 max than girls (mean difference 3.06 mL O2/min/kg, 95% CI 2.66 to 3.47, p<0.0001). Levels of estimated VO2 max were lower in South Asians than those in white Europeans (mean difference −0.79 mL O2/min/kg, 95% CI −1.41 to −0.18, p=0.01); levels of estimated VO2 max in black African–Caribbeans were higher than those in white Europeans (mean difference 0.60 mL O2/min/kg, 95% CI 0.02 to 1.17, p=0.04); these patterns were similar in boys and girls. The lower estimated VO2 max in South Asians, compared to white Europeans, was consistent among Indian, Pakistani and Bangladeshi children and was attenuated by 78% after adjustment for objectively measured physical activity (average daily steps).
Conclusions South Asian children have lower levels of physical fitness than white Europeans and black African–Caribbeans in the UK. This ethnic difference in physical fitness is at least partly explained by ethnic differences in physical activity.
- Physical fitness
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Strengths and limitations of this study
The submaximal fitness test used to predict VO2 max has previously been employed in a nationally representative sample of the English population.
Ethnic comparisons carried out on a within-school basis to limit confounding with balanced representation of South Asians, black African–Caribbeans and white Europeans.
Objective accelerometer-based levels of physical activity levels were made using a validated method and bioelectrical impedance was used to provide a valid measurement of adiposity in this multi-ethnic population.
The response rate of 63% was modest and estimated VO2 max was obtained for 75% of the sample who completed the step test; however, characteristics of participants with and without physical fitness data were similar.
In the UK and in other western European countries, there are marked ethnic differences in chronic disease risks. British South Asian adults have increased risks of developing type 2 diabetes, coronary heart disease and stroke compared to white Europeans in the UK.1 ,2 British black African–Caribbeans, in contrast, have increased risks of type 2 diabetes and stroke compared to white Europeans but lower risks of coronary heart disease.1 ,2 Recent evidence suggests that these ethnic differences in disease risks have their origins in childhood, with increased levels of insulin resistance, circulating glucose and body fatness in South Asian children3 ,4 and (to a lesser extent) black African–Caribbean children compared to white Europeans.4 Marked ethnic differences in physical activity levels have been reported in the UK in adults5 and children,6 with South Asians in particular having lower physical activity levels than white Europeans. However, little is known about the extent of ethnic differences in physical fitness, a determinant of cardiovascular and metabolic risk in adults7–9 and children.10 An earlier report based on a small number of ethnic minority children studied in the National Study of Health and Growth raised the possibility that such differences could be substantial and that they might well be explained by ethnic differences in physical activity.11 The importance of independent assessment of physical fitness is emphasised by the results of studies, showing that physical fitness and physical activity are independently associated with metabolic risk10 and that physical fitness may be a stronger risk factor than physical activity for coronary heart disease12 and all-cause mortality.13 We have therefore examined ethnic differences in physical fitness in a study of British school children of South Asian, black African–Caribbean and white European origin, presenting data on the major ethnic groups and subcategories. We have particularly examined the extent to which ethnic differences in physical fitness can be explained by objectively measured physical activity (overall intensity and moderate to vigorous intensity), an important determinant of physical fitness,10 ,14 and by adiposity, which is inversely associated with physical fitness.10
Research design and methods
The Child Heart and Health Study in England (CHASE) was a cross-sectional investigation of the health (particularly cardiovascular and metabolic health) of primary school children aged 9–10 years of white European, South Asian and black African–Caribbean origin in the UK carried out between October 2004 and February 2007; full details have been published elsewhere.4 ,6 ,15 Ethical approval was obtained from the relevant multicentre research ethics committee and written, informed parental consent was obtained for all participating children. The study was based in 200 state primary schools in London, Birmingham and Leicester, half with a high prevalence of UK South Asian children (stratified by Indian, Pakistani and Bangladeshi origin) and other half with a high prevalence of UK black African–Caribbean children (stratified by black African and black Caribbean origin). Schools were drawn at random from the stratified sampling frame; schools which declined to participate were replaced by another similar school within the sampling frame. This report is based on the final phase of the study (81 schools studied between January 2006 and February 2007) in which additional assessments of physical fitness and physical activity were made.
A single survey team of three trained Research Nurses and two Research Assistants carried out all assessments; each observer measured approximately one-third of children in each ethnic group. Participating children had physical measurements including height and weight, and arm-to-leg bioelectrical impedance, using the Bodystat 1500 bioelectrical impedance monitor (Bodystat, Isle of Man, UK). Fat mass was derived from impedance using ethnic- and gender-specific equations derived for UK children of this age group.16 Fat mass index (FMI) [fat mass (kg)/height(m)5] was derived to be independent of height (r=−0.02)16 and was shown to be a more valid marker of body fatness than body mass index in this study population.17
Participants underwent an 8-min step test as described previously.18 ,19 Briefly, participants were fitted with a combined heart rate (HR) and movement sensor (Actiheart, CamNtech, Papworth, UK), then followed an audible prompt instructing them to progressively increase their step frequency, ramping from 15 to 32.5 body lifts/min (rate of change: 2.5 body lifts/min2) on a 150 mm high step. The step test was terminated if the participant was unable to maintain the prescribed step frequency, even after verbal encouragement from the investigator. After test termination, 2 min of seated recovery was measured. The combined sensor-recorded ECG and acceleration waveforms (128 and 32 Hz sampling, respectively), were summarised in 15 s epochs. Data were visually reviewed and noisy ECG data were excluded from analysis. Heart beats were detected using a modified Pan-Tompkins peak detection algorithm.18 Estimation of VO2 max was done in a similar manner as Health Survey for England 2008.20 Briefly, predicted workload was regressed against instantaneous HR (expressed above resting level) and 1-min recovery HR was extracted using quadratic regression against recovery time (first 90 s); these parameters were combined with resting HR and test duration to define the submaximal relationship between HR and workload, which was then extrapolated to predicted maximal HR21 to predict maximal work capacity. This was converted to VO2 max by first adding an estimate of resting metabolic rate22 and then dividing by the energetic value of oxygen to estimate.20
Physical activity was assessed by accelerometry; children were asked to wear an activity monitor (GT1M; ActiGraph LLC, Pensacola, Florida, USA), on their left hip during waking hours (apart from during water-based activities) for 7 days following measurement and then return the instrument to the school. The ActiGraph monitor was worn over the left hip on an elasticised belt. Non-wear time, defined as periods of at least 20 consecutive minutes of zero counts, was excluded and remaining data were summarised into mean daily counts, counts per minute (CPM), steps per day and time spent at moderate to vigorous intensity (moderate–vigorous physical activity, MVPA; ≥2000 CPM counts). All participants with one or more days of valid data were included in the analysis; a valid day being defined as at least 600 min of registered time.
Ethnicity and socioeconomic status
The ethnicity of the child was defined using parental information on the self-reported ethnicity of both parents where available (63%), or using the parentally defined ethnic origin of the child (36%), or using information on parental and grand-parental place of birth provided by the child, cross-checked with observer assessment of ethnic origin (1%). Children were broadly defined (as previously described4) as white European, South Asian, black African–Caribbean and other ethnicity; more detailed ethnic subcategories of South Asians (Indian, Pakistani, Bangladeshi and South Asian other) and black African–Caribbeans (black African, black Caribbean and black other) were also used in analyses. Parents and children provided information on parental occupation, which was coded using the National Statistics-Socioeconomic Classification (NS-SEC) as previously described.23
Statistical analyses were carried out using Stata/SE software (Stata/SE V.12 for Windows; StataCorp LP, College Station, Texas, USA). Estimated VO2 max was normally distributed (see online supplementary figure S1). We used a previously published regression calibration method to allow for measurement error in the physical activity variables (counts, CPM, steps and moderate to vigorous activity).24 This method allows for within-child variation in physical activity across a variable number of days of recording (between 1 and 7) and by day of the week and provides an unbiased average of counts and CPM for each child. Most children (87%) had 3 or more full days of recorded physical activity data. Restricting the analyses to these children did not materially affect the results.
Gender differences in estimated VO2 max were assessed using multilevel models adjusted for age, ethnicity and month of the year (fitted as fixed effects) and school fitted as a random effect to take account of clustering of children within schools; all models were fitted using the xtmixed command in Stata. Similar models were used to quantify ethnic differences in estimated VO2 max adjusted for age, sex, month and school. An interaction between ethnic group and sex was fitted and likelihood ratio tests were used to examine whether ethnic differences in physical fitness were modified by sex. Associations between estimated VO2 max and physical activity counts, CPM, fat mass index and resting HR were plotted and were quantified using correlation coefficients. To examine whether ethnic differences in estimated VO2 max were explained by ethnic differences in physical activity, activity counts, CPM, steps or time spent in moderate to vigorous activity was fitted as a covariate in the model; fat mass index was fitted as a covariate to examine whether adiposity accounted for ethnic differences in estimated VO2 max.
Of 3571 children invited to participate in this phase of the study, 2236 (63%) took part in the physical fitness test. Response rates were similar among South Asians and white Europeans and other ethnic groups (67%, 65% and 63%, respectively) but slightly lower among black African–Caribbeans (59%); response rates were higher in girls than boys (66% and 59%, respectively). Among 2236 children who took part in the test, 73 participants were removed from the analysis due to not maintaining prescribed step frequency during the test and 538 participants did not have adequate HR data. Estimated VO2 max values were therefore derived for 1625 participants; the proportion of those with valid physical fitness data was similar in boys and girls and unrelated to ethnicity, socioeconomic position or physical characteristics. The children with estimated VO2 max values included similar numbers of boys and girls (825 and 800, respectively) and similar numbers of children of white European, South Asian, black African–Caribbean and other ethnicity (424, 407, 413 and 381, respectively). Of these children, 1215 also had objective measures of physical activity.
Unadjusted means and SDs for estimated VO2 max are shown by gender and ethnic group in online supplementary table S1; adjusted mean levels and gender differences in VO2 max are shown in table 1. The overall level of estimated VO2 max in the study population was 39.4 mL O2/min/kg (95% reference range 30.6, 48.2). Girls had markedly lower levels of estimated VO2 max than boys; on average, the level of estimated VO2 max in girls was 3.06 mL O2/min/kg lower (95% CI 2.66 to 3.47) than that in boys. This gender difference was apparent in all individual ethnic groups and there was no strong evidence of an interaction between ethnic group and sex (p=0.33).
Mean levels of estimated VO2 max for white European, South Asian, black African–Caribbean and ‘other’ ethnic groups are presented in table 1 and adjusted differences compared to white Europeans are summarised in table 2. South Asian children had lower levels and black African–Caribbeans had higher levels of estimated VO2 max than white Europeans, whereas levels of estimated VO2 max in ‘other ethnicity’ were similar to those in white Europeans. Within ethnic minority groups, there was no strong evidence of heterogeneity between Indian, Pakistani and Bangladeshi children, all of whom had lower estimated VO2 max values than white Europeans. Estimated VO2 max levels were higher in black African–Caribbean children, with the difference apparently concentrated in boys and black African children; the test for heterogeneity between black Africans and Caribbeans was of borderline statistical significance (p=0.07).
Estimated VO2 max was positively correlated with physical activity counts, CPM, steps and time spent in MVPA; correlation coefficients (r) were 0.40, 0.35, 0.34 and 0.37 respectively. Estimated VO2 max was inversely correlated with resting HR (r=−0.66) and fat mass index (r=−0.37). As reported previously6 and shown in online supplementary table S2, physical activity levels (including counts, CPM, steps and MVPA) were lower in South Asians compared to white Europeans; black African–Caribbeans had similar levels of physical activity (CPM and MVPA), though mean levels of counts were higher and mean levels of steps were lower. Adiposity levels (particularly fat mass index) were previously reported in the larger CHASE study to be higher among South Asians compared to white Europeans and similar among black African–Caribbeans compared to white Europeans.17 In this smaller subset of the CHASE study, fat mass index was higher in South Asians, though the difference was not statistically significant, and lower in black African–Caribbeans compared to white Europeans.
The effect of adjustment for physical activity (counts, CPM, steps or MVPA) and adiposity (fat mass index) on the overall ethnic differences in physical fitness are provided in table 3 for the subset of data with measurements of physical activity and adiposity. The higher level of estimated VO2 max in black African–Caribbean children compared to white Europeans was reduced by 25% when adjusting for objectively measured physical activity counts; adjustment for steps increased the difference by 34%. Adjustment for fat mass index reduced the difference in estimated VO2 max by 51% on its own and by 54% in combination with adjustment for physical activity (table 3). The lower level of estimated VO2 max in South Asian children compared to white Europeans was not statistically significantly different in this subset; adjustment for objectively measured physical activity further reduced this difference. For South Asians, adjustment for fat mass index did not have an appreciable effect on the ethnic difference in estimated VO2 max either as a single adjustment or in combination with adjustment for physical activity (table 3).
In similar analyses, the effects of adjustment for physical activity and adiposity on gender differences in estimated VO2 max are given in table 3. For all ethnic groups combined, girls had a markedly lower level of estimated VO2 max compared to boys; this difference was reduced by 36% by adjustment for physical activity counts, by 28% for CPM, by 30% for steps, by 35% for moderate to vigorous activity and by 14% for fat mass index, though the differences were still highly statistically significant. Adjustment for fat mass index in combination with adjustment for counts or CPM did not appreciably reduce the difference further.
In further analyses, estimated VO2 max did not vary appreciably by socioeconomic status (NS-SEC), either overall (p[heterogeneity]=0.08) or within specific ethnic groups; furthermore, adjustment for socioeconomic status had very little effect on ethnic differences in estimated VO2 max (data available from authors).
This study provides evidence of lower levels of physical fitness in British South Asian children compared with white Europeans; black African–Caribbean children in contrast had higher levels of physical fitness compared to white Europeans. Lower levels of physical fitness were observed in girls compared to boys; this gender difference was consistent across all ethnic groups studied. The lower level of physical fitness in South Asians compared to white Europeans was at least partly explained by the lower levels of physical activity in South Asian children. The higher level of physical fitness in black African–Caribbeans compared to white Europeans was at least partly explained by the higher levels of physical activity and lower levels of adiposity in black African–Caribbean children. The lower levels of physical fitness observed in girls could be partly (though not completely) explained by the lower physical activity levels in girls. Differences in adiposity did not contribute appreciably to South Asian–white European or gender differences in physical fitness.
Relation to previous studies
Levels of estimated VO2 max in boys and girls in the present study were slightly lower than those in children aged 10–12 years in a recent small UK-based study25 and were appreciably lower than those in children aged 9 years in the European Youth Heart Study,26 although the method of measuring VO2 max differed between studies; physical activity levels in the present study were also markedly lower than in the European Youth Heart Study.6 ,10 In the present study, girls had appreciably lower levels of physical fitness compared to boys, this finding is consistent with other studies in children of a similar age group in the UK11 ,25 and Europe.10 The finding that South Asian boys and girls had lower levels of physical fitness compared to white European children is consistent with previous findings in UK adults27 ,28 and with a small UK-based study of children aged 9 years;11 that study also reported that levels of physical fitness in black African–Caribbeans were similar to those of white European children, consistent with our findings.11 The finding that physical fitness was strongly related to physical activity in the present study is consistent with findings from other studies,10 ,25 though no previous study has reported the contribution of physical activity to ethnic differences in physical fitness.
Strengths and limitations
The submaximal fitness test used in the present study to predict VO2 max has previously been used in a nationally representative sample of the English population20 and has been shown to capture two-thirds of the between-individual variance in the submaximal HR-VO2 relationship established using a wider intensity range during a more well-controlled stress-testing protocol (treadmill walking and running).19 Average levels and gender differences in estimated VO2 max were consistent with those in UK children of a similar age group who underwent maximal fitness testing.25 The cross-sectional design of this study means that we cannot infer that the association we observed between physical fitness and physical activity is causal; however, evidence from randomised controlled trials has shown that interventions to increase activity levels in children and adolescents improve physical fitness,29–31 providing support for this direction of causality. The study included balanced representation of South Asians, black African–Caribbeans and white Europeans with ethnic comparisons carried out on a within-school basis to limit confounding. Further strengths of this study include the objective and validated measurement of physical activity levels using accelerometry32 and the measurement of adiposity using bioelectrical impedance with ethnic- and gender-specific equations for the prediction of fat mass, a method which has been shown to give more valid assessment of adiposity in a multi-ethnic population.16 Although the response rate in the study was modest (63%) and estimated VO2 max was obtained for only 75% of the study sample who completed the step test, the socio-demographic and anthropometric characteristics of those participants were similar in those with and without physical fitness data, suggesting that the observed ethnic differences in physical fitness are not likely to be biased.
The results presented in this study showed that South Asians had lower levels and black African–Caribbeans had higher levels of physical fitness compared to white European children, and that these ethnic differences were at least partly explained by lower levels of physical activity among South Asian children and by higher levels of physical activity and lower levels of adiposity among black African–Caribbean children. However, ethnic differences in physical activity did not appear to provide a complete explanation for these differences in physical fitness. Lower levels of physical fitness are associated with higher levels of adiposity, insulin resistance and cardiovascular risk.7 ,10 ,25 South Asian children have higher levels of adiposity, insulin resistance and hyperglycaemia, and black African–Caribbean children and adolescents have higher levels of insulin resistance and hyperglycaemia compared to white Europeans.4 The lower levels of physical fitness among South Asians observed the present study (by ∼2%) could help to explain the early development of type 2 diabetes risk among South Asians; this will be an important area for further investigation. In contrast, the higher levels of fitness observed in black African–Caribbean children do not help to explain increased risks of type 2 diabetes in this group. Improvements in physical fitness (potentially through increases in physical activity) could be important for chronic disease prevention in the UK South Asian population.
The authors are grateful to the members of the CHASE study team (Julie Belbin, Claire Brannagan, Sarah Holloway, Cathy McKay, Mary McNamara, Miranda Price, Rahat Rafiq, Chloe Runeckles, Lydia Shepherd and Andrea Wathern) and to all participating schools, pupils and parents.
Contributors PHW and CMN developed the idea for this paper with help from CGO, ARR, UE and DGC. PHW conceived, raised funding for and directed CHASE, with help from DGC, CGO and ARR. ASD collected data. SB, KLW and SRK derived physical fitness estimates from the results of the submaximal fitness test with support from UE. CMN and SRK carried out the statistical analyses. CMN wrote the first draft of the paper. All authors were involved in interpreting the data, critically reviewing the scientific content and all authors approved the final version.
Funding This work was supported by grants from the British Heart Foundation (PG/06/003), Wellcome Trust (068362/Z/02/Z) and the National Prevention Research Initiative (G0501295). The funding partners for this NPRI award were: British Heart Foundation; Cancer Research UK; Department of Health; Diabetes UK; Economic and Social Research Council; Medical Research Council; Research and Development Office for the Northern Ireland Health and Social Services; Chief Scientist Office, Scottish Executive Health Department; and Welsh Assembly Government. Diabetes prevention research at St George's, University of London, is supported by the National Institute of Health Research (NIHR)—Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London.
Disclaimer The views expressed in this paper are those of the authors and not necessarily those of the funding agencies, the National Health Service, the NIHR or the Department of Health.
Competing interests None declared.
Ethics approval Multicentre Research Ethics Committee, Wales.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement Enquiries about use of the study data set can be made by contacting Professor Peter Whincup
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