International Journal of Obesity (1997) 21, 372±379 ß 1997 Stockton Press All rights reserved 0307±0565/97 $12.00 Physical activity and body composition in 10 year old French children: linkages with nutritional intake? M Deheeger1, MF Rolland-Cachera1 and AM Fontvieille2 1 INSERM, U 290 Saint Lazare Hospital, 107 rue du Faubourg Saint Denis, 75010, Paris, France; and 2 SANOFI Recherche, Nutrition Department, 82, Avenue Raspail, 94255, Gentilly Cedex, France OBJECTIVES: To investigate the relationships between physical activity, dietary intake and body composition in children. DESIGN: A cross-sectional study on physical activity, nutritional intakes and body composition conducted in 86 healthy 10 y old French children. In addition, growth parameters and nutritional intakes were available from the age of 10 months. MEASUREMENTS: Physical activity level (using a validated activity questionnaire over the past year), nutritional intake (dietary history method), anthropometric measurements (body weight, height, arm circumference, triceps and subscapular skinfolds, Body Mass Index (BMI), arm muscle and arm fat areas calculated from these measurements) at the age of 10 y. Anthropometric measurements and nutritional intakes were recorded in the same children at the age of 10 months and every 2 y from the age of 2 y. RESULTS: At the age of 10 y, active children ingested signi®cantly more energy than less active children, mostly due to higher energy intake at breakfast and in the afternoon. This higher energy intake was accounted for by increased consumption of carbohydrates (281 g vs 246 g; 49.6% vs 47.4% of total energy). Even if the amounts of fat consumed were similar in both groups (90 g vs 84 g; P 0.09), the percentage of fat intake was lower in active children (35.4% vs 37.4%; P 0.04). The percentage of protein was not different (14.9% vs 15.3%; P 0.33). In spite of a higher energy intake in the active group, active and less active children had similar BMI at the age of 10 y. However, their body composition differed signi®cantly: active children had a higher proportion of fat-free mass, a lower proportion of fatmass as measured in the arm and they had a later adiposity rebound. Fatness was signi®cantly and positively associated with the time spent watching television and video games. CONCLUSIONS: Physical activity was associated with improved body composition and growth pattern. This association may be related to nutritional changes: active children consumed more energy by increasing carbohydrate, thus reducing the relative fat content of their diet. These results provide support to encourage physical activity during childhood. Keywords: physical activity; body composition; nutritional intake; children Introduction Decreased physical activity is probably the main factor accounting for the increasing prevalence of obesity in industrialised countries.1,2 This conclusion mainly derives from indirect evidence, as few baseline data exist on the trends of physical exercise through the last decades. The importance of physical activity is suggested by the fact that most studies on the secular changes in energy intake and body fatness, report an increase in body fatness, in spite of a constant or even decreased energy intake.1±6 Time spent watching television (TV), an index of inactivity, has been strongly associated with the risk of obesity.7 In addition, low levels of physical activity are associated with higher levels of body fat in pre-school Correspondence: Dr MF Rolland-Cachera. Received 22 July 1996; revised 9 December 1996; accepted 20 January 1997 children.8 In Pima Indians, a population highly prone to obesity, it has been reported that children had a decreased physical activity as compared to their Caucasian peers.9 Exercise not only decreases the risk of obesity, but also has bene®cial effects on health. It increases functional capacities and reduces cardiovascular risk factors.10±12 Health improvements can derive from the direct effect of exercise, but can also be a consequence of increased energy needs affecting food intake.13,14 In a study conducted in Sweden,2 active children tended to have a lower body fat content despite a higher energy intake. This increase in spontaneous energy intake compensates for the elevated daily energy expenditure.13 The lower body fatness in active children could be explained by increased energy expenditure as well as by changes in food choice and nutrient balance. Longitudinal studies also demonstrated the bene®cial effect of exercise on body composition.15,16 Physical activity in children M Deheeger et al Besides, they reported that the level of physical activity tracks signi®cantly with age, suggesting that children who are active at a given period were probably active throughout their growth. Although there are many studies relating physical activity to body composition, only a few of them considered the role of nutrition in this relationship in a general population of children. In order to investigate the relationships between physical activity, body composition and nutrition, we have conducted a cross-sectional study in 10 y old French children. We have compared anthropometric measurements and nutritional intakes in those children who had low or high activity levels at the age of ten years. In addition, as growth parameters had been recorded in these children from the age of ten months,17±19 we have also compared their growth patterns. Subjects and methods The follow-up study started in 1985 for children in Public Health Centers in Paris. The children were recruited among a population consulting for clinical examinations. In these centers, three examinations were offered free of charge at 10 months, 2 and 4 y. The main motivation of families was to obtain a free check-up. On the ®rst visit, the parents were interviewed by the dietitian of the research team. The families who answered the ®rst nutritional interview had no commitment to further participation. When they accepted the second and subsequently the third invitation for a check-up, the dietician made the interview. This procedure likely accounts for the drop out rate in the study: 278 children were seen at the age of 10 months, 192 came back for the second check-up at 2 y and 162 for the third at 4 y of age. At the age of 6 and 8 y, the dietitian visited the families at home. One-hundred and twenty-six children at 6 y and 112 children at 8 y were still participating in the study. Dietary intake The survey was performed by a skilled and experienced dietitian on the basis of the `dietary history' method.20,21 From the age of 6 y, the child and the mother were interviewed for approximately 45 min about a typical day's eating pattern. Each meal was discussed in turn to ®nd out which food was eaten and how often, what alternative might be used on other days of the week and any irregularities in eating patterns, in order to establish a menu for the month preceeding the interview. Variations in the child's appetite were taken into account. When children ate outside the home, information on menus, portion size and appetite of the child was obtained from the person or institution in charge of the child. Nutritional intake was evaluated according to the British food Composition Table.22 Dietary interview as well as anthropometric measurements were recorded by the same well trained investigator in all subjects. Anthropometric measurements Direct measurements Body weight, body height, skinfolds and arm circumference were recorded in the Health Centers at the ages of 10 months, 2 and 4 y and at home, at 6, 8 and 10 y. Body weight was obtained in children wearing light clothing on an electronic scale. Body height was measured using a portable stadiometer (Raven Equipment Limited). Skinfold thickness (triceps (TRI) and subscapular (SS) skinfolds (in mm) were measured using an Harpenden caliper. Arm circumference was measured with a ¯exible 1.5 cm wide tape at mid-arm. Indices of fatness and body composition Adiposity was assessed by the Body Mass Index (weight/ height2). Body fat distribution was assessed by using the SS/TRI skinfold ratio (SS/TRI). Body composition was assessed on the basis of equations used to calculate arm areas23 from arm circumference (C in cm) and triceps skinfold (TRI in cm). Total upper arm area (TUA in cm2) C2/4p. Upper arm muscle area (UMA in cm2) (C 7 pTRI)2/4p. Upper arm fat area (UFA) is calculated by difference: TUA 7 UMA. The arm fat index (% fat) is calculated from UFA and TUA and the arm muscle index (% muscle) from UMA and TUA. The BMI was calculated at all ages, and individual BMI curves were drawn. As a rule, the curve increases over the ®rst months of life, and then decreases until the age of 6 y.24 A subsequent increase of the curve is named the `adiposity rebound'. Age at adiposity rebound is associated with bone age and is a predictor of adult fatness.25,26 For each subject, the age at adiposity rebound, corresponding to the nadir of the BMI curve, was recorded. Age at adiposity rebound presented in Table 1 (n 86) was assessed on the basis of the six measurements recorded for the study (mean age 5.6 1.7 y). Intermediate measurements (measured by the mother or recorded in the child's health booklet) were also obtained. In 57 children, adiposity rebound was assessed on the basis of the yearly recorded measurements (mean age 5.6 1.8 y). Results were similar using both sets of data. In the ®gure, values recorded for the study (on even years) and intermediate values (on odd years) are given. Physical activity interviews Physical activity was assessed in 86 children at the age of 10 y between May 1994 and March 1995 using a questionnaire27,28 adapted for children8 (see Appendix A). The parents and the child were interviewed 373 Physical activity in children M Deheeger et al 374 Table 1 Anthropometric measurements and food intake in 10-year-old children according to physical activity level Physical activity level Total low high n 86 boys 54 girls 32 mean s.d. n 57 boys 36 girls 21 mean s.d. n 29 boys 18 girls 11 mean s.d. F P Past year physical activity h/week (Boys) (Girls) including sport, h/week Weight kg Height cm BMI kg/m2 Skinfolds: triceps mm subscapular mm Subscapular/triceps Arm circumference cm arm fat % arm muscle % Age at adiposity rebound yrs 14.3 4.8 15.2 4.9 12.6 3.9 1.8 1.7 32.9 6.2 138.6 6.0 17.0 2.3 11.4 3.7 7.5 3.0 0.66 0.16 19.9 2.1 32.2 7.1 67.8 7.1 5.6 1.7 11.6 3.1 12.3 3.2 10.7 2.8 1.4 1.5 33.2 6.6 138.7 6.3 17.1 2.5 12.1 4.3 8.0 3.0 0.68 0.19 20.1 0.29 33.0 6.9 67.0 6.9 5.4 1.8 19.4 2.8 20.3 2.8 17.5 1.6 2.6 1.7 32.4 5.4 138.3 5.5 16.8 1.9 10.4 3.8 6.8 3.0 0.66 0.13 19.9 0.4 29.5 7.1 70.5 7.1 6.1 1.5 128 85.7 47.4 11.9 0.39 0.10 0.27 3.11 2.65 0.51 0.17 4.70 4.70 4.00 < 0.001 < 0.001 < 0.001 < 0.001 0.56 0.75 0.60 0.08 0.10 0.48 0.67 0.03 0.03 0.049 Nutritional intakes Energy kcal Protein g Fat g CHO g including sucrose g 2123 377 79.8 13.6 85.8 14.4 258.0 61.5 60.1 31.5 2058 353 77.8 13.3 84.0 14.9 246.4 59.9 57.7 33.4 2252 389 83.4 13.9 89.9 15.9 281.4 58.4 65.1 27.6 5.39 3.23 2.91 6.55 1.06 0.02 0.08 0.09 0.01 0.31 % energy Protein % Fat % CHO % including sucrose % 15.1 1.7 36.7 4.3 48.1 5.1 11.2 4.7 15.3 1.6 37.4 4.5 47.4 5.3 10.7 5.0 14.9 1.8 35.4 3.7 49.6 4.3 12.0 4.1 0.95 4.44 4.09 1.41 0.33 0.04 0.046 0.24 together. The questionnaire assesses physical activity over the past year: daily activity (such as walking, running, cycling, skating . . .) weekly activity (sports at school or in a club) and occasional sports and activity (during holidays). Total annual physical activity is expressed as a mean in hour/week. Time spent in a club for regular sport or competitions is included in the weekly mean of past year sport leisure activity, but is also presented separately (Table 1). Time spent watching TV or video games was also recorded in the questionnaire. The two subgroups of children were constituted on the basis of the physical activity level. As boys are more active (15.3 h/week) than girls (12.6 h/week), subgroups were established separately for boys and girls. In total, the mean physical activity, corresponds to 2 h/d in this population. In order to identify really active children and because of the similarity between the two ®rst tertiles (both groups had 33% arm fat area), we have selected two subgroups as follow: the low active group includes the ®rst and second tertiles (<17.5 h/week in boys and <14 h/week in girls), the active group corresponds to the third tertiles of the activity level distribution. Expressed in h/d, the low active group corresponds to less than 2.5 h/d in boys and less than 2 h/d in girls. Socio economic status Social groups were established on the basis of the INSEE (Institut National de la Statistique et des Etudes Economiques) classi®cation. The partition of the sample was made according to the profession of the person in charge of the family: executive and liberal professions (39%), skilled workers (39%), unskilled and semiskilled workers (22%). This classi®cation differs from the classi®cation of the professions in the Paris area (active population): 19%, 58% and 22% in the three categories respectively. We found more executive and liberal professional and less skilled workers in our sample. Statistical analysis The results were expressed as mean standard deviation. Pearson correlation coef®cients (r) were determined to test the relationships between variables. Anova test was applied for comparison of parameters between groups. The impact of Socio Economic Status (SES) on physical activity and nutritional intakes was analysed with Anova two ways for testing the interactions between these variables. Statistics were performed using Abacus Concepts Statview. A P-value of less than 0.05 was considered statistically signi®cant. Results Anthropometric measurements and nutritional intakes are presented in Table 1 according to the level of physical activity. Physical activity in children M Deheeger et al Nutritional intakes and physical activity Figure 1 BMI development between birth and 10 y of age according to physical activity level at the age of 10 y: Low, n 57 (- - -), High, n 29 (ÐÐ). Age at adiposity rebound is 5.4 1.8 y in the less active group and 6.1 1.5 y in the more active group (P 0.049). *P 0.02 between the BMI of the two groups at the age of 4 y. Past-year physical activity corresponds to 11.6 h/ week in the less active group and 19.4 h/week in the more active group. Time spent in a club for regular sport or competition, which is included in this previous mean, is twice as high in the active (2.6 h/week) than in the less active group (1.4 h/week). Anthropometric measurements and physical activity At the age of 10 y, body weight, height, the BMI, skinfolds (SS and TRI), the SS/TRI skinfold ratio and arm circumference do not differ according to the physical activity level (Table 1). However, body composition is different: the percentage of fat-mass in the less active group is signi®cantly higher than in the more active group: 33.0 6.9% vs 29.5 7.1% respectively (P 0.03). Total physical activity is positively associated with the percentage of fat free mass (r 0.23; P 0.03) but when free living exercise and sports are considered separately, the correlations are r 0.17 (P 0.13) and r 0.20 (P 0.06) respectively. The BMI development differs between the less active and the more active children (Figure 1). Before the age of 6 y, the BMI tends to be lower in the less active than in the more active children. The difference reaches the signi®cant level at the age of 4 y (15.2 1.2 vs 15.9 1; P 0.02). Subsequently after an earlier adiposity rebound in the less active children (5.4 1.8 and 6.1 1.5 y in the less and the more active groups respectively; P < 0.05), their BMI catches up with the BMI level of the more active group. From the age of 4 y, the percentage of arm muscle area tends to be higher in the more active group, and the difference reaches the signi®cant level at the age of 10 y. At the age of 10 y, energy intake and physical activity are closely related: the more active the children, the higher their energy intake (r 0.38; P < 0.001). When free living exercise and sports are considered separately, the correlations are r 0.33 (P 0.002) and r 0.16 (P 0.14) respectively. Active children consume daily, 196 kcal more than less active children. This difference is only accounted for by an increase in carbohydrate (CHO) intake, but not by sucrose. As a consequence, the percentages of energy from CHO and from fat differ between the two groups: active children consume a higher proportion of CHO and a lower proportion of fat. A signi®cant positive correlation between physical activity and food consumption is recorded for bread (r 0.22; P 0.04), vegetables (r 0.22; P 0.04) and yoghurt (r 0.27; P 0.02). Increased energy intake in active children is related to an increase in energy at breakfast: 444 kcal 143 vs 359 kcal 123 (P 0.01) and in the afternoon: 407 kcal 156 vs 313 kcal 166 (P 0.01). Energy intakes at lunch, dinner and from snack are similar between the two groups. Over the whole period of growth, active children tend to consume more energy than the less active children (22 kcal at the age of 2 y, 68 kcal at 4 y, 35 kcal at 6 y and 91 kcal at 8 y), but the difference does not reach the signi®cant level. Physical activity and social class Socio economic status is not signi®cantly associated with physical activity and does not interact in any relationship examined here. However, children from unskilled workers families (n 20) tend to be less active (13.1 4.9 h/week) than children from families of intermediate (n 33) and executive or liberal professions (n 33): respectively 14.7 5.7 and 14.7 4.2 h/week (P 0.36). Television watching and physical activity Time spent watching TV at the age of 10 y is signi®cantly and positively correlated with the BMI (r 0.27; P 0.01), the triceps skinfold (r 0.24; P 0.03) and the subscapular skinfold (r 0.26; P 0.02). All analyses were also performed separately by sex. The same tendencies were observed for all variables. Discussion Exercise is often recommended for its health bene®ts. The present study con®rms that physical activity is associated with improved body composition. However this positive effect seems to appear only above a minimal level of activity, as no difference was recorded between the lower two tertiles of the activity 375 Physical activity in children M Deheeger et al 376 level distribution. The same remark was reported in a study of physical activity cardiovascular risk factors and weight in children.29 In order to compensate for elevated energy expenditure, active children consume signi®cantly more energy than their less active peers. This higher energy intake is correlated more with free living activity than with sport. Increased energy intake is provided by CHO, and consequently the proportion of energy provided by fat is decreased. Then, the nutrient balance in active children is closer to the usual dietary recommendations of 12% energy provided by proteins, 30±35% by fat and 50±55% by CHO.30 These recommendations are valid for children (except for infants) and for adults. The association between increased physical activity, increased energy intake and improved body composition was reported in previous studies.2,11,31,32 In a study conducted in Finland,16 physical activity was associated with lower percentage of energy provided by saturated fat. These results suggest that the bene®ts of exercise could be explained through nutritional changes. The increase in CHO intake in our study, might result from an increased preference for CHO14 and/or from speci®c metabolic needs compensating CHO oxidation rate in response to an increase in energy expenditure.13 It can also be the consequence of an increased concentration of neuropeptide Y induced by exercise.33 Physical activity increased complex carbohydrate intake but not the total amount of simple sugars. This observation is consistent with increased consumption of starch but not of sucrose, reported in rats, when energy needs are high (after fasting).34 The larger breakfast in active children can be related to blood glucose and insulin circadian variations.35 The daily distribution of energy, with increased energy intake at breakfast, has been reported to be a more favourable practice.36,37 The later adiposity rebound recorded in active children is also a favourable index of the growth process, as most obese subjects have an early adiposity rebound.24,25 To relate physical activity and adiposity rebound, we speculated that the children who were active at the age of ten years were also active at previous periods of growth. This assumption was based on the demonstrated tracking of physical activity during growth.15,16 The tendency of a higher percentage of fat-free mass and a higher energy intake from the age of 4 y in the active group, suggest that these children were indeed active throughout their growth. In a previous analysis conducted in the present population,17 it was observed that an early adiposity rebound, re¯ecting advanced maturation, was associated with a high protein intake in early childhood. Inactivity is also associated with an early adiposity rebound. From this observation, we suggest that physical activity could regulate growth process, avoiding too accelerated maturation. The trend of increased body fatness and decreased energy intake recorded in several studies2,3,38 suggest a trend of decrease in physical activity. In a previous study, conducted in 10 y old children examined in 1978, we observed that these children consumed more energy than the 10 y old children of the present study (2326 in 1978 and 2102 kcal in 1995) and had a weaker BMI (16.5 and 17 kg/m2 respectively).38 Children examined 17 y ago were comparable for energy intake and for BMI, with the more active children of the present study. This observation suggests that their activity level might also be comparable. The time spent watching TV is an important factor contributing to the decrease in physical activity. As reported earlier,7,39 we found a signi®cant correlation between the time spent watching TV/videos and adiposity (BMI and skinfolds). Physical activity has a bene®cial effect by improving functional pulmonary indices.10 It can prevent obesity development and risks associated with overweight such as insulin resistance and cardiovascular diseases.13,14 It decreases blood pressure,40 plasma insulin and triglycerides and increases HDL cholesterol.41 All these bene®cial changes could result from exercise itself, but also from dietary changes, particularly by a decrease in the percentage of dietary fat. Indeed, it is paradoxical that the less active children who have lower energy needs, consume a higher proportion of energy provided by fat, as a high fat diet is more adapted for high energy needs.42 Other health bene®ts of physical exercise have been discussed previously.43 Conclusions The present study con®rms some previous studies showing an association between physical activity and improved body composition. This study also suggests a bene®cial effect on growth pattern. These associations may be related to nutritional changes: active children consume more energy by increasing carbohydrates and consequently, the relative fat content of their diet is reduced. The higher body fatness in the less active children could be explained by a greater dif®culty to adjust the balance between energy needs and energy expenditure. This dif®culty could be due to the alteration of nutrient balance of their diet. These results provide support to encourage physical activity during childhood. Acknowledgement The authors gratefully acknowledge France Bellisle for her help in improving the manuscript. References 1 Prentice AM, Jebb SA. Obesity in Britain: gluttony or sloth? Br Med J 1995, 311: 437±439. 2 Sunnegardh J, Bratteby LE, Hagman U, Samuelson G, SjoÈlin S. Physical activity in relation to energy intake and body fat in Physical activity in children M Deheeger et al 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 8- and 13-year-old children in Sweden. 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Rolland-Cachera MF. Prediction of adult body composition from infant and childhood measurements. In: Davies PWS, Cole T (eds). Body Composition Techniques in Health and Disease. Cambridge University Press: Great Britain, 1995, pp 100±145. 377 Physical activity in children M Deheeger et al 378 Appendix A Activity questionnaire Physical activity in children M Deheeger et al 379
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