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Physical Activity and Related Factors in Pre-Adolescent Southern African Children of Diverse Population Groups

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Publisher MDPI
Date 2022 Aug 26
PMID 36011543
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Abstract

Tailored obesity management includes understanding physical activity (PA) and its context, ideally in childhood before the onset of health risk. This cross-sectional study determined, by sex and population, the PA of Southern African pre-adolescent urban primary school children. PA was measured objectively (step count: pedometer) and subjectively (Physical Activity Questionnaire for Older Children [PAQ-C]), taking confounders (phenotype, school-built environment, and socio-economic environment) into account. Body composition was measured with multifrequency bioelectrical impedance analysis (Seca mBCA). PA was adjusted for phenotypic confounders (body size and composition) using multivariate regression. Sex and population differences in PA were determined with two-way ANOVA. Ninety-four healthy pre-adolescents (60% girls, 52% black) with a similar socio-economic status and access to PA participated. Amidst phenotypic differences, average steps/day in girls (10,212) was lower than in boys (11,433) (p = 0.029), and lower in black (9280) than in white (12,258) (p < 0.001) participants. PAQ-C scores (5-point rating) were lower for girls (2.63) than boys (2.92) (p < 0.001) but higher for black (2.89) than white (2.58) (p < 0.001) participants. Objective and subjective measurements were, however, not significantly (r = −0.02; p = 0.876) related and PAQ-C failed to identify reactive changes in the step count. Objectively measured PA of black participants and of girls was consistently lower than for white participants and boys. Target-group specific interventions should therefore be considered.

References
1.
Fairclough S, Boddy L, Mackintosh K, Valencia-Peris A, Ramirez-Rico E . Weekday and weekend sedentary time and physical activity in differentially active children. J Sci Med Sport. 2014; 18(4):444-9. DOI: 10.1016/j.jsams.2014.06.005. View

2.
Kelley G, Kelley K, Pate R . Effects of exercise on BMI z-score in overweight and obese children and adolescents: a systematic review with meta-analysis. BMC Pediatr. 2014; 14:225. PMC: 4180550. DOI: 10.1186/1471-2431-14-225. View

3.
Horlick M, Arpadi S, Bethel J, Wang J, Moye Jr J, Cuff P . Bioelectrical impedance analysis models for prediction of total body water and fat-free mass in healthy and HIV-infected children and adolescents. Am J Clin Nutr. 2002; 76(5):991-9. DOI: 10.1093/ajcn/76.5.991. View

4.
Pulido R, Banks C, Ragan K, Pang D, Blake J, McKyer E . The Impact of School Bullying on Physical Activity in Overweight Youth: Exploring Race and Ethnic Differences. J Sch Health. 2019; 89(4):319-327. DOI: 10.1111/josh.12740. View

5.
Zaltauske V, Petrauskiene A . Associations between built environment and physical activity of 7-8-year-old children. Cross-sectional results from the Lithuanian COSI study. Medicina (Kaunas). 2016; 52(6):366-371. DOI: 10.1016/j.medici.2016.11.002. View