Pubertal Stage, Body Mass Index, and Cardiometabolic Risk in Children and Adolescents in Bogotá, Colombia: The Cross-Sectional Fuprecol Study

Ramírez‐Vélez, Robinson; García-Hermoso, António; Agostinis‐Sobrinho, César; Mota, Jorge; Santos, Rute; Correa-Bautista, Jorge Enrique; Peña-Guzmán, Carlos; Domínguez-Sanchéz, María A.; González‐Jiménez, Emilio

doi:10.3390/nu9070644

Cited by 14 publications

(12 citation statements)

References 34 publications

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“…16,23 The speed/agility levels in both male and female participants were similar to those found in a study from Uruguay. 23 The cardiorespiratory component outcomes in both male and female participants were similar to those of three studies from Uruguay, Chile, and Colombia, 16,23,24 but lower than those of three other studies from Canada, 25 Colombia (adjusted for altitude) 17 , and Colombia (ethnicity). 26 Lastly, it is worth noting a limitation of this study: rural schools were not included due to logistical reasons.…”

Section: Differences In Physical Fitness Levels In Relation To Other supporting

confidence: 63%

Physical fitness standards in students from the province of Neuquén, Argentina. Physical Fitness Assessment Plan study

Santander¹,

García

Secchi

et al. 2019

Arch Argent Pediat

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Introduction. At present, there is no information about the physical fitness (PF) of children and adolescents attending school in the province of Neuquén. The provincial Department of Sports developed the Physical Fitness Assessment Plan. The main objective of this study was to administer the ALPHA-Fitness test battery to the students of Neuquén in order to develop PF reference standards. Population and methods. A total of 4487 male and female students of Neuquén aged 9-18.9 years were assessed based on four PF components of the high priority ALPHA-Fitness test battery: 1) morphological: body weight and height to estimate body mass index; 2) musculoskeletal: standing long jump test; 3) motor: 4 x 10 m speed/ agility test; and 4) cardiorespiratory: 20-m shuttle run test (SRT). Results. The mean body mass index was 22.9 ± 4.7 kg/m 2 ; 25 % of participants were overweight and 12.7 %, obese. The mean values for the cardiorespiratory component were 4.3 ± 2.5 stages, 10.1 ± 1.2 km/h, maximal oxygen volume of 38.7 ± 6.7 mL/kg/min; standing long jump: 147.3 ± 34.6 cm; and for the motor component: 13.0 ± 1.5 s. Male participants had a better performance in PF tests (p < 0.001). Conclusion. The study results provide the first PF standards for male and female children and adolescents of the province of Neuquén, Argentina.

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Section: Differences In Physical Fitness Levels In Relation To Other supporting

confidence: 63%

Physical fitness standards in students from the province of Neuquén, Argentina. Physical Fitness Assessment Plan study

Santander¹,

García

Secchi

et al. 2019

Arch Argent Pediat

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“…The inclusion of WC is justified because of a growing body of research includes this method as a CM risk indicator ( Andersen et al, 2015 , Sardinha et al, 2016 ). However, recent study have not included WC within their determination of CM risk ( Ramírez-Vélez et al, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Obesity anthropometric indicators associated with cardiometabolic risk in Portuguese children and adolescents

Gaya

Brand

Dias

et al. 2017

Preventive Medicine Reports

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The purpose of this study was to determine the association between cardiometabolic risk with body mass index and skinfold independently or in combination in youth. This cross-sectional study comprised a convenience sample of 450 children and adolescents (255 girls), aged 10 to 18 years old. Indicators of body composition were measured, and hemodynamic assessment completed. The association between body mass index and/or sum of skinfolds and cardiometabolic risk (z score of the sum of triglycerides/high density lipoprotein cholesterol, waist circumference, and mean blood pressure), was calculated using Generalized Linear Models Regression. The results showed that youngsters classified as overweight or obese with the highest skinfold measurements had the strongest association with cardiometabolic risk (< beta >: 2.60; IC 95%: 2.25–3.0) when compared with those exhibiting normal skinfold thickness (< beta >: 1.78; IC 95%: 1.30–2.20). Body mass index was most strongly associated with cardiometabolic risk (< beta >: 1.78; IC 95%: 1.3–2.2), in comparison to skinfold thickness, which was associated to a lesser extent (< beta >: 0.41; IC 95%: 0.34–0.49). Results of this cross-sectional study indicate that body mass index is more strongly associated with cardiometabolic risk than skinfold thickness. However when these two measures of overweight/obesity are combined, prediction of cardiometabolic risk is further improved. It is therefore important that public health professionals consider both body mass index and sum of skinfolds to better predict cardiometabolic risk in overweight and obese youth. Implications for future research include the use of longitudinal designs and inclusion of children from other racial/ethnic groups.

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“…This research is based on a two-part relatively large-scale study (FUPRECOL) [ 22 ] of over 1000 children/adolescents and young adults [ 23 ]. We used the data from these two projects, which totaled 4673 participants that were 9–25 years old ( n = 1047 children 9–12 years; n = 1830 adolescents 13–17 years; and n = 1796 young adults 18–25 years).…”

Section: Methodsmentioning

confidence: 99%

Tri-Ponderal Mass Index vs. Fat Mass/Height3 as a Screening Tool for Metabolic Syndrome Prediction in Colombian Children and Young People

et al. 2018

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Tri-ponderal mass index (TMI) and fat mass index (FMI) have been proposed as alternative approaches for assessing body fat since BMI does not ensure an accurate screening for obesity and overweight status in children and adolescents. This study proposes thresholds of the TMI and FMI for the prediction of metabolic syndrome (MetS) in children and young people. For this purpose, a cross-sectional study was conducted on 4673 participants (57.1% females), who were 9–25 years of age. As part of the study, measurements of the subjects’ weight, waist circumference, serum lipid indices, blood pressure and fasting plasma glucose were taken. Body composition was measured by bioelectrical impedance analysis (BIA). The TMI and FMI were calculated as weight (kg)/height (m3) and fat mass (kg)/height (m3), respectively. Following the International Diabetes Federation (IDF) definition, MetS is defined as including three or more metabolic abnormalities. Cohort-specific thresholds were established to identify Colombian children and young people at high risk of MetS. The thresholds were applied to the following groups: (i) a cohort of children where the girls’ TMI ≥ 12.13 kg/m3 and the boys’ TMI ≥ 12.10 kg/m3; (ii) a cohort of adolescents where the girls’ TMI ≥ 12.48 kg/m3 and the boys’ TMI ≥ 11.19 kg/m3; (iii) a cohort of young adults where the women’s TMI ≥ 13.21 kg/m3 and the men’s TMI ≥ 12.19 kg/m3. The FMI reference cut-off values used for the different groups were as follows: (i) a cohort of children where the girls’ FMI ≥ 2.59 fat mass/m3 and the boys’ FMI ≥ 1.98 fat mass/m3; (ii) a cohort of adolescents where the girls’ FMI ≥ 3.12 fat mass/m3 and the boys’ FMI ≥ 1.46 fat mass/m3; (iii) a cohort of adults where the women’s FMI ≥ 3.27 kg/m3 and the men’s FMI ≥ 1.65 kg/m3. Our results showed that the FMI and TMI had a moderate discriminatory power to detect MetS in Colombian children, adolescents, and young adults.

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Pubertal Stage, Body Mass Index, and Cardiometabolic Risk in Children and Adolescents in Bogotá, Colombia: The Cross-Sectional Fuprecol Study

Cited by 14 publications

References 34 publications

Physical fitness standards in students from the province of Neuquén, Argentina. Physical Fitness Assessment Plan study

Physical fitness standards in students from the province of Neuquén, Argentina. Physical Fitness Assessment Plan study

Obesity anthropometric indicators associated with cardiometabolic risk in Portuguese children and adolescents

Tri-Ponderal Mass Index vs. Fat Mass/Height3 as a Screening Tool for Metabolic Syndrome Prediction in Colombian Children and Young People

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