The IMAGINE Intervention: Impacting Physical Activity, Body Fat, Body Mass Index, and Dietary Inflammatory Index

This study aimed to compare 10-to-12-year-old Qatari male athletes and assess body fat, body mass index, and physical fitness, as well as the difference of these measures between ages. Thirty-five youth handball players volunteered for the investigation and were divided into three groups: 12-year-old players (U12; n = 12), 11-year-old players (U11; n = 11), 10-year-old players (U10; n = 12). Anthropometry was assessed by body mass, body fat percentage (%BF), and body mass index (BMI). Measurements included the Yo-Yo Intermittent Recovery Test Level 1 (Yo-Yo IR1), jumping ability (squat and countermovement jumps (SJ and CMJ, respectively)), and sprint tests (10 and 15 m). The power of the upper extremity was measured by a 2-kg overhead medicine ball throw for distance. Except for %BF (p = 0.387) and BMI (p = 0.070), all anthropometric and demographic parameters were different between age groups. The largest differences were found for body mass (p = 0.007) and body height (p = 0.008). Regarding fitness parameters, only the medicine ball throw (p = 0.022) was different between age groups (U10 vs. U12: p = 0.009; U11 vs. U12: p = 0.048). There was no difference between groups for jumping (CMJ: p = 0.586; SJ: p = 0.377), sprinting (10 m: p = 0.211; 15 m: p = 0.194) and Yo-Yo IR1 (p = 0.228). Body fat was the anthropometric parameter with the strongest relationship with physical performance in that lower body fat was related to superior jumping performance and sprint performance. In conclusion, except for %BF and BMI, all anthropometric parameters were different between U10, U11, and U12 handball players. For physical parameters, jumping, sprinting, and endurance performance were not different between age groups. From a practical perspective, coaches can use these findings as reference for the evaluation of their school-aged handball players, as well as for establishing performance goals.

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The amount of body fat, body mass index and the amount of water in the newly discovered euthyroid and hypothyroidism

Medicinski glasnik Specijalna bolnica za bolesti stitaste zlezde i bolesti metabolizma Zlatibor ◽

10.5937/medgla1557015m ◽

2015 ◽

Vol 20 (57) ◽

pp. 15-26

Author(s):

Snezana Marinkovic

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Body Fat ◽

Fat Body ◽

Fat Body Mass

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Trends in Body Fat, Body Mass Index and Physical Fitness Among Male and Female College Students

Nutrients ◽

10.3390/nu2101075 ◽

2010 ◽

Vol 2 (10) ◽

pp. 1075-1085 ◽

Cited By ~ 25

Author(s):

Peter Pribis ◽

Carol A. Burtnack ◽

Sonya O. McKenzie ◽

Jerome Thayer

Keyword(s):

College Students ◽

Body Mass Index ◽

Physical Fitness ◽

Body Mass ◽

Body Fat ◽

Fat Body ◽

Female College Students ◽

Male And Female ◽

Female College ◽

Fat Body Mass

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Comparisons of percentage body fat, body mass index, waist circumference, and waist-stature ratio in adults

American Journal of Clinical Nutrition ◽

10.3945/ajcn.2008.26847 ◽

2008 ◽

Vol 89 (2) ◽

pp. 500-508 ◽

Cited By ~ 376

Author(s):

Katherine M Flegal ◽

John A Shepherd ◽

Anne C Looker ◽

Barry I Graubard ◽

Lori G Borrud ◽

...

Keyword(s):

Body Mass Index ◽

Waist Circumference ◽

Body Mass ◽

Body Fat ◽

Fat Body ◽

Percentage Body Fat ◽

Fat Body Mass

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

The Journals of Gerontology Series A ◽

10.1093/gerona/glab072 ◽

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.

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