Interrelationships Among Motor Coordination, Body Fat, and Physical Activity in Adolescent Boys

Motor Control ◽  
2019 ◽  
Vol 23 (3) ◽  
pp. 294-303
Author(s):  
Daniel das Virgens Chagas ◽  
Luiz Alberto Batista
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Motor Coordination ◽  
Adolescent Boys

scholarly journals The three-way interplay of motor coordination, body fatness and physical activity in adolescents: a preliminary study

2019 ◽  
Vol 11 (1) ◽  
pp. 97-102
Author(s):  
Daniel das Virgens Chagas ◽  
Luiz Alberto Batista
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Physical Activity Level ◽  
Motor Coordination ◽  
Skinfold Thickness ◽  
Activity Level ◽  
Body Fat Percentage ◽  
Adolescent Boys ◽  
Fat Percentage ◽  
Body Fatness

SummaryStudy aim: The purposes of this study were to analyze: the influence of physical activity level on the association between motor coordination and body fatness; the influence of body fatness on the association between motor coordination and physical activity; and how much physical activity and body fatness, separately and together, explain motor coordination in adolescent boys.Material and methods: Fifty-one boys (n = 51), aged between 12 and 14 years, participated in the study. Motor coordination and physical activity and body fat percentage were assessed with, respectively, the Körperkoordinationstest für Kinder (KTK) and a validated self-administered questionnaire (PAQ-C). Skinfold thickness was measured to assess the participant’s body fat percentage. The Kruskal-Wallis test was performed to compare levels of motor coordination, physical activity, and body fat according to age (12, 13, 14 years). Bivariate and partial correlations were used to analyze the interrelationships among the selected variables.Results: In the total studied group (n = 51 boys), motor coordination was positively associated with physical activity level (r = 0.300) and negatively associated with body fatness (r = –0.297). However, these associations were not statistically significant (p > 0.05) when controlled for body fatness and physical activity, respectively. Also, body fat and physical activity together explained 11% of the variance in the motor coordination level in adolescent boys.Conclusions: These findings suggest that body fatness can influence the association between motor coordination and physical activity as well as that physical activity level can influence the association between motor coordination and body fat percentage. Also, body fat and physical activity together, but not separately, partially explained the variance in the motor coordination level. Therefore, body fat and physical activity seem to be complementarily associated with motor coordination in adolescent boys.

scholarly journals Interrelationships Among Motor Coordination, Body Fat Percentage, and Physical Activity in Adolescent Girls

2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Daniel das Virgens Chagas ◽  
Luiz Alberto Batista
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Adolescent Girls ◽  
Motor Coordination ◽  
Activity Level ◽  
Body Fat Percentage ◽  
Activity Levels ◽  
Fat Percentage ◽  
Physical Activity Levels ◽  
Self Reporting Questionnaire

AbstractPurpose. The aim of this study was to analyze the interrelationships among motor coordination, body fat percentage, and physical activity levels in adolescent girls. Methods. Sixty-eight girls aged 12-14 years participated in the study. Skinfold thickness was measured and the Körperkoordinationstest für Kinder test was administered. Participants completed a self-reporting questionnaire on physical activity. Bivariate and partial correlations were used to analyze the interrelationships among the selected variables. Results. There were no significant (p > 0.05) correlations between any motor coordination scores and physical activity levels with and without controlling for body fat percentage. All motor coordination scores were significantly (p < 0.05) associated with body fat with and without controlling for physical activity levels. Conclusions. The relationships between motor coordination scores and physical activity levels, as well as between motor coordination scores and body fat percentage, were not influenced by body fat and physical activity levels, respectively. However, the overall low physical activity level in this sample may have biased these results. Additional research involving girls with higher physical activity levels should be pursued.

Osteocalcin is inversely associated with adiposity and leptin in adolescent boys

2015 ◽  
Vol 28 (5-6) ◽  
Author(s):  
Jaak Jürimäe ◽  
Evelin Lätt ◽  
Jarek Mäestu ◽  
Meeli Saar ◽  
Priit Purge ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Body Mass ◽  
Body Fat ◽  
Bone Mineral ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Adolescent Boys ◽  
Pubertal Stage ◽  
Daily Energy

AbstractRecently, osteocalcin (OC), an osteoblast-derived hormone, has been found to correlate with adiposity, adipocytokines and insulin resistance in adults, but few studies have investigated this in children. The aim of this study was to investigate these associations in adolescent boys, for whom it is a time of significant bone mineral accrual, taking into account possible confounders related to adipose and bone tissues.Participants were 141 adolescent boys (mean age 13.9±0.7 years), who were divided into tertiles according to OC levels. Across these groups, differences in total body fat mass (FM), body fat distribution, adiponectin, leptin and insulin resistance values were examined with relation to age, pubertal stage, daily energy and calcium intakes, and physical activity.Mean body mass index (BMI), FM, body fat% and leptin differed significantly between subjects in the three OC tertiles after adjustment for age, pubertal stage, energy and calcium intakes, and physical activity. There were no differences in fat free mass (FFM), bone mineral content, energy and calcium intakes, physical activity, adiponectin and insulin resistance values between study groups. For the entire cohort, mean serum OC was 130.2±45.2 ng/mL and was related to body mass, BMI, FM, body fat distribution and leptin. Circulating OC was not associated with FFM, daily energy and calcium intakes, physical activity, adiponectin or insulin resistance (insulin, glucose, homeostasis model assessment-insulin resistance) values.In male adolescents, OC is inversely related to body adiposity and leptin values, even after consideration of several factors that may affect bone and adipose tissues.

Physical activity and body composition of adolescent boys

JAMA ◽  
1966 ◽  
Vol 197 (11) ◽  
pp. 891-893 ◽  
Author(s):  
L. P. Novak
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Adolescent Boys

scholarly journals Anthropometric Variables as Mediators of the Association of Changes in Diet and Physical Activity With Inflammatory Profile

2021 ◽  
Author(s):  
Gabriela Cárdenas-Fuentes ◽  
Camille Lassale ◽  
Miguel Ángel Martínez-González ◽  
María Grau ◽  
Jordi Salas-Salvadó ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Controlled Trial ◽  
High Sensitivity ◽  
Linear Regression Models ◽  
Mediating Role ◽  
Inflammatory Score ◽  
Inflammatory Profile

Abstract Background Mechanisms underlying the associations of high levels of physical activity (PA) and adherence to the Mediterranean diet (MedDiet) with a better inflammatory profile remain unclear. Our objective was to assess the mediating role of changes in body mass index (BMI) and waist circumference (WC), as markers of body fat in the association of changes in PA and adherence to the MedDiet, with changes in the inflammatory profile. Method This study included 489 adults, aged 55–75 years, from the PREDIMED-Plus multicenter lifestyle intervention trial. An inflammatory score was calculated, based on 8 blood biomarkers: high-sensitivity C-reactive protein, interleukin 6, interleukin 8, interleukin 18, monocyte chemo-attractant protein-1, C-peptide, leptin, and regulated on activation, normal T-cell–expressed and secreted chemokine. Biomarkers, levels of PA, score of MedDiet adherence, BMI, and WC were measured at baseline and at 1-year follow-up. Linear regression models were fitted according to the Baron and Kenny framework for mediation analysis. Results Changes in BMI and WC mediated the association of both changes in PA and changes in the MedDiet adherence with the inflammatory score. Body mass index mediated 26% of the association of changes in total PA with the inflammatory profile, and 27% of the association of changes in the MedDiet, while WC mediated 13% and 12% of these associations, respectively. Conclusion In older adults at high cardiovascular risk, increasing PA levels and adherence to a MedDiet during 1 year were associated with a lower inflammatory score, which was partly mediated by a reduction in body fat. Clinical Trials Registration Number International Standard Randomized Controlled Trial Number: ISRCTN89898870; registration date July 24, 2014, retrospectively registered.

scholarly journals Fructose decreases physical activity and increases body fat without affecting hippocampal neurogenesis and learning relative to an isocaloric glucose diet

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Catarina Rendeiro ◽  
Ashley M. Masnik ◽  
Jonathan G. Mun ◽  
Kristy Du ◽  
Diana Clark ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Hippocampal Neurogenesis

Abstract P073: Insufficient and Poor Sleep are Associated with Barriers to Healthy Eating and Lower Physical Activity: Baseline Characteristics of the EMPOWER Study

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Christopher E Kline ◽  
Patrick J Strollo ◽  
Eileen R Chasens ◽  
Bonny Rockette-Wagner ◽  
Andrea Kriska ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Sleep Quality ◽  
Lifestyle Intervention ◽  
Body Fat ◽  
Healthy Eating ◽  
Perceived Barriers ◽  
Poor Sleep ◽  
Body Habitus ◽  
Overweight Adults

Background: Sleep is emerging as an important factor that impacts dietary habits, physical activity, and metabolism. However, minimal attention is typically given to sleep in traditional lifestyle interventions. The purpose of these analyses was to examine baseline associations between sleep and physical activity and perceived barriers to healthy eating, which are two common lifestyle intervention targets, in a sample of apparently healthy adults enrolled in a behavioral weight loss intervention study. Methods: 150 overweight adults (51.1±10.2 y; 91% female; 79% Caucasian) participated in a 12-month lifestyle intervention that featured adaptive ecological momentary assessment. Sleep, physical activity, barriers to healthy eating and body habitus/composition were assessed prior to the intervention. Objective sleep was estimated with 7 days of wrist-worn actigraphy (Philips Actiwatch 2); sleep onset latency (SOL; the amount of time it takes to fall asleep after going to bed), sleep efficiency (SE; the percentage of time in bed that is spent asleep), and total sleep time (TST; total time spent asleep) served as the primary actigraphic sleep variables. Subjective sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). Physical activity was assessed with 7 days of waist-worn accelerometry (ActiGraph GT3x). Perceived barriers to healthy eating were assessed with the Barriers to Healthy Eating questionnaire. Body mass index (BMI) served as the measure of body habitus, and body fat was assessed with bioelectrical impedance. Results: Mean BMI and body fat for the sample were 34.0±4.6 kg/m2 and 43.7±5.5%, respectively. Mean TST was 6.6±0.8 h/night; approximately 23% of the sample averaged less than 6 hours of sleep. Mean SOL and SE for the sample were 15.3±16.2 min and 85.7±6.1%, respectively. Based on the PSQI, 52.0% of the sample had poor sleep quality. Following adjustment for age, sex, and race, longer SOL was associated with fewer steps/day (β=-.19, p=.02) and less time spent in moderate to vigorous physical activity (MVPA; β=-.16, p=.03), and lower SE was related to less MVPA (β=.15, p=.04). Shorter TST was associated with greater barriers to healthy eating (β=-.16, p=.05). Longer SOL was associated with higher BMI (β=.16, p=.05) and body fat % (β=.15, p=.03), and lower SE was related to higher body fat % (β=-.13, p=.06). Conclusions: Short sleep duration and sleep disturbance were highly prevalent in this sample of overweight adults. Significant associations were observed between sleep and measures of body habitus/composition and eating and physical activity habits. Efforts to improve sleep during a behavioral intervention for weight loss may reduce barriers to healthy eating and improve physical activity habits as well as weight loss outcomes.

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