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High BMI and Low Muscular Fitness Predict Low Motor Competence in School-Aged Children Living in Low-Resourced Areas.

ABSTRACT: Childhood obesity is a relatively new problem for Sub-Saharan developing countries. Especially in children with a low socioeconomic background, the link between motor competence, muscular fitness, and body mass index (BMI) remains poorly investigated. Due to the interrelatedness of BMI and physical fitness, the aim of this study is to determine the predictive value of these factors in relation to low motor competence in school-aged children living in low-resourced areas. Motor competence and physical fitness were assessed in 1037 school-aged Ghanaian and South African children using the Performance and Fitness test battery (PERF-FIT). "Low motor competence" was predicted using odds ratios calculated from backward logistic regression analyses. Low motor competence was less prevalent in Ghanaian children (3.7-11.1%) compared to the South African children (21.9-24.2%). Increased BMI and decreased muscular fitness predicted low motor competence in both Ghanaian and South African children. For example, the chance for a Ghanaian child to have low static balance increased by 22.8% (OR = 1.228, p < 0.001) with a 1-point increase in BMI, whereas this decreased by 30.0% (OR = 0.970, p < 0.001) with a 10-cm increase on the standing long jump. In the case of the South African children, if their BMI increased by 1 point, the chance for those children of having low static balance increased by 7.9%, and if their SLJ performance decreased by 10 cm, their chance of low performance increased by 13%. Clearly, motor competence is associated with both BMI and muscular fitness. Policy makers can use this information to counteract the establishment of childhood obesity by promoting weight control through physical activity and stimulating motor competence at school.

SUBMITTER: Verbecque E

PROVIDER: S-EPMC8345384 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Background:Good nutrition and physical activity of school-aged children are important for ensuring optimum growth and reducing obesity. This present study assessed associations between breakfast consumption, BMI-for-Age (BMI) and physical fitness in a cross-section of school-aged children attending government-owned primary schools in Kumasi, Ghana. Method:The sample consisted of 438 pupils (boys?=?213; girls?=?225; mean age 11.1?±?1.1), attending 10 randomly selected schools. Weight (kg), height (cm) and Mid Upper Arm Circumference (MUAC) were measured for each participant, and BMI-for-age z-scores determined using the World Health Organisation (WHO) anthroplus software. Participants were stratified into thinness, normal weight, overweight/obese using WHO cut offs. Physical fitness was assessed using forward jump, left and right handgrips, flexibility, sit-ups and 50?metre run following standard procedures and converted to scores of 1 to 10 following Japanese standards, based on which percentiles were derived. Total fitness score for each pupil was computed by adding all scores. A questionnaire was used to assess meal intake patterns. Results:The mean BMI-for-age z-score for participants was -?0.24?±?0.99. Thinness, normal weight and overweight/obesity were 2.7, 86.5, and 10.5% respectively among the pupils. Overweight was higher in girls (14.2%) compared to boys (4.2%), p?=?0.003. Similarly, mean MUAC was significantly (p?=?0.021) higher in the girls (22.0 ± 3.2?cm) than the boys (20.7 ± 7.3?cm). For physical fitness, the girls scored higher in forward jump (p?<?0.0001), 50-m run (p?=?0.002) and overall fitness score than the boys (21.0?±?6.2 versus 19.2?±?8.3, p?=?0.012). However, a larger proportion of boys performed excellently and poorly than girls (p?=?0.019). A positive correlation was observed between BMI z-score and hand grip (r =?0.21, p?<?0.001), while sit up (r =?-?0.11, p?=?0.018) showed a negative correlation with BMI z-score. No other fitness test varied by BMI. Overweight children performed best in handgrip. Majority of children said they engaged in exercise (89.9%) and consumed breakfast (78.9%). Breakfast consumption was not associated with BMI z-score (x2 0.0359, p?=?0.549) but non-breakfast consumers performed better in 50?m run compared to consumers (7.0 seconds?±?2.3 vrs 6.3 seconds?±?2.5, p?=?0.022). Children who reported to exercise were physically fitter than those who did not. Conclusion:Underweight levels were low while overweight was over 10% in these children. Girls were more than 3 times affected by overweight than boys, and were also physically fitter than boys. Breakfast consumption was not related to weight or fitness.

Project description:Aerobic fitness has been shown to have several beneficial effects on child health. However, research on its relationship with academic performance has been limited, particularly in developing countries and among undernourished populations. This study examined the association between aerobic fitness and academic achievement in clinically healthy but nutritionally compromised Indian school-aged children and assessed whether micronutrient status affects this association. 273 participants, aged 7 to 10.5 years, were enrolled from three primary schools in Bangalore, India. Data on participants' aerobic fitness (20-m shuttle test), demographics, anthropometry, diet, physical activity, and micronutrient status were abstracted. School-wide exam scores in mathematics and Kannada language served as indicators of academic performance and were standardized by grade level. The strength of the fitness/achievement association was analyzed using Spearman's rank correlation, multiple variable logistic regression, and multi-level models. Significant positive correlations between aerobic capacity (VO2 peak) and academic scores in math and Kannada were observed (P < 0.05). After standardizing scores across grade levels and adjusting for school, gender, socioeconomic status, and weight status (BMI Z-score), children with greater aerobic capacities (mL * kg(-1) * min(-1)) had greater odds of scoring above average on math and Kannada exams (OR=1.08, 95% CI: 1.02 to 1.15 and OR=1.11, 95% CI: 1.04 to 1.18, respectively). This association remained significant after adjusting for micronutrient deficiencies. These findings provide preliminary evidence of a fitness/achievement association in Indian children. While the mechanisms by which aerobic fitness may be linked to academic achievement require further investigation, the results suggest that educators and policymakers should consider the adequacy of opportunities for physical activity and fitness in schools for both their physical and potential academic benefits.

Project description:ObjectiveMuscular fitness levels have been associated with cardiometabolic risk in children, although whether body weight acts as a confounder or as an intermediate variable in this relationship remains controversial. The aim of this study was to examine whether the association between muscular fitness and cardiometabolic risk factors is mediated by body mass index (BMI).Design and methodsCross-sectional study using a sample of 1158 schoolchildren aged 8-11 years from the province of Cuenca, Spain. We measured anthropometrics and biochemical variables and we calculated a muscular fitness index as the sum of z-scores of handgrip dynamometry/weight and standing long jump, and we estimated a previously validated cardiometabolic risk index (CMRI). Linear regression models were fitted for mediation analysis to assess whether the association between muscular fitness and cardiometabolic risk was mediated by BMI.ResultsChildren with normal weight (NW) had a better cardiometabolic risk profile than their overweight (OW) or obese (OB) peers after controlling for muscular fitness. Marginal estimated mean ± SE values for NW, OW and OB categories of CMRI were -0.75 ± 0.06 < 0.84 ± 0.10 < 2.18 ± 0.16 in boys and -0.73 ± 0.06 < 0.96 ± 0.10 < 2.71 ± 0.17 in girls, both p < 0.001. Children with higher levels of muscular fitness had a better cardiometabolic risk profile (CMRI marginal estimated mean ± SE 1.04 ± 0.13 > 0.05 ± 0.09 >-1.16 ± 0.13 for lower, middle and upper quartiles of muscular fitness in boys and 1.01 ± 0.16 > 0.10 ± 0.09 > -1.02 ± 0.15 in girls, both p < 0.001), but differences disappeared when controlling for BMI. BMI acted as a full mediator between muscular fitness and most cardiometabolic risk factors (Sobel test z = -11.44 for boys; z = -11.83 for girls; p < 0.001 in CMRI mediation model) and as a partial mediator in the case of waist circumference (Sobel test z=-14.86 for boys; z=-14.51 for girls; p<0.001).ConclusionsBMI mediates the association between muscular fitness and cardiometabolic risk in schoolchildren. Overall, good muscular fitness is associated with lower cardiometabolic risk, but particularly when accompanied by normal weight.

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High BMI and Low Muscular Fitness Predict Low Motor Competence in School-Aged Children Living in Low-Resourced Areas.

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