scholarly journals Breakfast: A Crucial Meal for Adolescents’ Cognitive Performance According to Their Nutritional Status. The Cogni-Action Project

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1320
Author(s):  
Humberto Peña-Jorquera ◽  
Valentina Campos-Núñez ◽  
Kabir P. Sadarangani ◽  
Gerson Ferrari ◽  
Carlos Jorquera-Aguilera ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Cognitive Performance ◽  
Cognitive Demand ◽  
Positive Association ◽  
Peak Height ◽  
The Body ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
High Quality ◽  
Action Project

This study aimed to determine whether pupils who have breakfast just before a cognitive demand, do not regularly skip breakfast, and consume a high-quality breakfast present higher cognitive performance than those who do not; furthermore, to establish differences according to their nutritional status. In this study, 1181 Chilean adolescents aged 10–14 years participated. A global cognitive score was computed through eight tasks, and the body mass index z-score (BMIz) was calculated using a growth reference for school-aged adolescents. The characteristics of breakfast were self-reported. Analyses of covariance were performed to determine differences in cognitive performance according to BMIz groups adjusted to sex, peak height velocity, physical fitness global score, and their schools. A positive association was found in adolescents’ cognitive performance when they had breakfast just before cognitive tasks, did not regularly skip breakfast, presented at least two breakfast quality components, and included dairy products. No significant differences were found between breakfast components, including cereal/bread and fruits/fruit juice. Finally, pupils who were overweight/obese who declared that they skipped breakfast regularly presented a lower cognitive performance than their normal-BMIz peers. These findings suggest that adolescents who have breakfast just prior to a cognitive demand and regularly have a high quality breakfast have better cognitive performance than those who do not. Educative nutritional strategies should be prioritized, especially in “breakfast skippers” adolescents living with overweight/obesity.

scholarly journals Hubungan Status Gizi dan Aktivitas Fisik dengan Kejadian Hipertensi Remaja

Jurnal Gizi ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 10
Author(s):  
Romadhiyana Kisno Saputri ◽  
Akhmad Al-Bari ◽  
Ria Indah Kusuma Pitaloka
Keyword(s):  
Physical Activity ◽  
Nutritional Status ◽  
Quantitative Research ◽  
Peak Height ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Cross Sectional ◽  
Obesity And Overweight ◽  
Increase Risk ◽  
Overweight Adolescents

Adolescence is peak height velocity that affect changes in body composition, rapidgrowth on weight, bone mass, pysical activity and nutritional status. Overweight and lack ofphysical activity are risk factors of hyertension in adolescents. Overweight adolescents havea 4,85 times risk of developig hypertension compared to adolescents with normal nutritionalstatus. Lack of physical activity has 7,86 times the risk of developing hypertension thanadolescents with active physical activity. Hypertension in adolescents increase risk ofmorbidity and mortality in adults. This study aim to determine the correlation between nutritional status and physicalactivity with hypertension in adolescents. A quantitative research with cross sectional designwas developed.  Respondents in this study were 75  college students. Data analysis usingSpearman’s Correlation test. Proportion of obesity and overweight was 20%.  Physical activity of the respondentsbelongs to light category. The incidence of hypertension I 14,67% and hypertension II2,67%. Results shows that there was correlation between nutritional status and physicalactivity with hypertension in adolescents.Keywords :  nutritional status, physical activity, hypertension, adolescents  

scholarly journals Comparison of Body Mass Index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Maya van Gent ◽  
Anita Pienaar ◽  
Habib Noorbhai
Keyword(s):  
Nutritional Status ◽  
Statistical Significance ◽  
Age Groups ◽  
Peak Height ◽  
Height Velocity ◽  
Fat Percentage ◽  
Peak Height Velocity ◽  
Cross Sectional ◽  
Kappa Agreement

Abstract Background The aim of this paper was to investigate whether BMI and fat percentage classification criteria, would classify a sample of 7–13 year old boys from a rural background in similar nutritional categories. Methods A cross-sectional study with a stratified random sampling included 601 rural boys (7–13 years old). Fat percentage criteria classification and BMI were calculated and compared. Maturity status, and age at peak height velocity (PHV) were indirectly determined. Statistical techniques included descriptive statistics, Pearson product correlation coefficients, the Kappa agreement test and the McNemar’s test. The level of statistical significance was set at p ≤ 0.05. Results All age groups presented with statistically significant high correlations between BMI and fat percentage, and low to medium correlations between fat percentage and maturity age (MA). Measurement of agreement between BMI and fat percentage classifications showed poor to fair agreements for all age groups, with the exception of the eight-year old group which presented a moderate agreement. Conclusions Classifications based on BMI and fat percentage, results in different classifications for the same population. Until further research has been done to determine the best classification for nutritional status, it is recommended that both classification methods be used for more accurate classification of nutritional status.

scholarly journals Prevalence of thinness and its effect on height velocity in schoolchildren

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Hassib Narchi ◽  
Afaf Alblooshi ◽  
Maisoon Altunaiji ◽  
Nawal Alali ◽  
Latifa Alshehhi ◽  
...  
Keyword(s):  
United Arab Emirates ◽  
Task Force ◽  
Health Assessment ◽  
Developed Countries ◽  
Peak Height ◽  
The Body ◽  
World Health ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
The Impact

AbstractObjectiveIn contrast to childhood obesity, studies involving thin children are much fewer, especially in developed countries. Furthermore, most reports do not address the impact of childhood thinness on height velocity. This study investigated the prevalence of thinness and its effect on height velocity in schoolchildren in the United Arab Emirates (UAE). Weight and height were measured in 29,410 schoolchildren (50.5% females), as part of the health assessment (academic year 2014–2015). The body mass index (BMI) was classified as normal, thinness, overweight, or obese using cutoffs established by the International Obesity Task Force (IOTF), World Health Organization, and Centers for Disease Control.ResultsThe median age was 10.2 years (range, 3–19). Using the IOTF scale, one-quarter of the children aged 4–6 years and one-third of the children aged 7–9 years were thin (BMI ≤ 18.5 kg/m2). Thinness was less prevalent (8–10%) in adolescents. Group peak height velocity was delayed 1–3 years in thin children and was higher in children with excess body fat. In conclusion thinness was the highest (25–33%) in children aged 4–9 years of age and their peak height velocity was delayed 1–3 years when compared to the other children.

scholarly journals Growth in achondroplasia, from birth to adulthood, analysed by the JPA-2 model

2020 ◽  
Vol 33 (12) ◽  
pp. 1589-1595
Author(s):  
Mariana del Pino ◽  
Virginia Fano ◽  
Paula Adamo
Keyword(s):  
General Population ◽  
Growth Curve ◽  
Growth Velocity ◽  
Adult Height ◽  
Growth Curves ◽  
Peak Height ◽  
Height Growth ◽  
Individual Growth ◽  
Height Velocity ◽  
Peak Height Velocity

AbstractObjectivesIn general population, there are three phases in the human growth curve: infancy, childhood and puberty, with different main factors involved in their regulation and mathematical models to fit them. Achondroplasia children experience a fast decreasing growth during infancy and an “adolescent growth spurt”; however, there are no longitudinal studies that cover the analysis of the whole post-natal growth. Here we analyse the whole growth curve from infancy to adulthood applying the JPA-2 mathematical model.MethodsTwenty-seven patients, 17 girls and 10 boys with achondroplasia, who reached adult size, were included. Height growth data was collected from birth until adulthood. Individual growth curves were estimated by fitting the JPA-2 model to each individual’s height for age data.ResultsHeight growth velocity curves show that after a period of fast decreasing growth velocity since birth, with a mean of 9.7 cm/year at 1 year old, the growth velocity is stable in late preschool years, with a mean of 4.2 cm/year. In boys, age and peak height velocity in puberty were 13.75 years and 5.08 cm/year and reach a mean adult height of 130.52 cm. In girls, the age and peak height velocity in puberty were 11.1 years and 4.32 cm/year and reach a mean adult height of 119.2 cm.ConclusionsThe study of individual growth curves in achondroplasia children by the JPA-2 model shows the three periods, infancy, childhood and puberty, with a similar shape but lesser in magnitude than general population.

scholarly journals Biological maturity and the anthropometric, physical and technical assessment of talent identified U16 Australian footballers

2017 ◽  
Vol 12 (3) ◽  
pp. 344-350 ◽  
Author(s):  
Ashley J Cripps ◽  
Christopher Joyce ◽  
Carl T Woods ◽  
Luke S Hopper
Keyword(s):  
Characteristic Curve ◽  
Vertical Jump ◽  
Binary Logistic Regression ◽  
Peak Height ◽  
Technical Skill ◽  
Height Velocity ◽  
State Representation ◽  
Peak Height Velocity ◽  
Biological Maturation ◽  
Australian Football

This study compared biological maturation, anthropometric, physical and technical skill measures between talent and non-talent identified junior Australian footballers. Players were recruited from the under 16 Western Australian Football League and classified as talent (state representation; n = 25, 15.7 ± 0.3 y) or non-talent identified (non-state representation; n = 25, 15.6 ± 0.4 y). Players completed a battery of anthropometric, physical and technical skill assessments. Maturity was estimated using years from peak height velocity calculations. Binary logistic regression was used to identify the variables demonstrating the strongest association with the main effect of ‘status’. A receiver operating characteristic curve was used to assess the level of discrimination provided by the strongest model. Talent identified under 16 players were biologically older, had greater stationary and dynamic leaps and superior handball skill when compared to their non-talent identified counterparts. The strongest model of status included standing height, non-dominant dynamic vertical jump and handball outcomes (AUC = 83.4%, CI = 72.1%–95.1%). Biological maturation influences anthropometric and physical capacities that are advantageous for performance in Australian football; talent identification methods should factor biological maturation as a confound in the search for junior players who are most likely to succeed in senior competition.

scholarly journals Somatic maturation and the relationship between bone mineral variables and types of sports among adolescents: cross-sectional study

2017 ◽  
Vol 135 (3) ◽  
pp. 253-259 ◽  
Author(s):  
Ricardo Ribeiro Agostinete ◽  
Igor Hideki Ito ◽  
Han Kemper ◽  
Carlos Marcelo Pastre ◽  
Mário Antônio Rodrigues-Júnior ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Peak Height ◽  
Cross Sectional Study ◽  
Height Velocity ◽  
Whole Body ◽  
Sectional Study ◽  
Peak Height Velocity ◽  
Mineral Density ◽  
Cross Sectional

ABSTRACT CONTEXT AND OBJECTIVE: Peak height velocity (PHV) is an important maturational event during adolescence that affects skeleton size. The objective here was to compare bone variables in adolescents who practiced different types of sports, and to identify whether differences in bone variables attributed to sports practice were dependent on somatic maturation status. DESIGN AND SETTING: Cross-sectional study, São Paulo State University (UNESP). METHODS: The study was composed of 93 adolescents (12 to 16.5 years old), divided into three groups: no-sport group (n = 42), soccer/basketball group (n = 26) and swimming group (n = 25). Bone mineral density and content were measured using dual-energy x-ray absorptiometry and somatic maturation was estimated through using peak height velocity. Data on training load were provided by the coaches. RESULTS: Adolescents whose PHV occurred at an older age presented higher bone mineral density in their upper limbs (P = 0.018). After adjustments for confounders, such as somatic maturation, the swimmers presented lower values for bone mineral density in their lower limbs, spine and whole body. Only the bone mineral density in the upper limbs was similar between the groups. There was a negative relationship between whole-body bone mineral content and the weekly training hours (β: -1563.967; 95% confidence interval, CI: -2916.484 to -211.450). CONCLUSION: The differences in bone variables attributed to sport practice occurred independently of maturation, while high training load in situations of hypogravity seemed to be related to lower bone mass in swimmers.

Effects of Drop Height on Jump Performance in Male and Female Elite Adolescent Handball Players

2019 ◽  
Vol 14 (5) ◽  
pp. 674-680 ◽  
Author(s):  
Olaf Prieske ◽  
Helmi Chaabene ◽  
Christian Puta ◽  
David G. Behm ◽  
Dirk Büsch ◽  
...  
Keyword(s):  
Peak Height ◽  
Height Velocity ◽  
Medium Size ◽  
Drop Height ◽  
Peak Height Velocity ◽  
Adolescent Athletes ◽  
Male And Female ◽  
Standing Long Jump ◽  
Long Jump ◽  
Split Time

Purpose: To examine the effects of drop height on drop-jump (DJ) performance and on associations between DJ and horizontal-jump/sprint performances in adolescent athletes. Methods: Male (n = 119, 2.5 [0.6] y post-peak-height velocity) and female (n = 120, 2.5 [0.5] y post-peak-height velocity) adolescent handball players (national level) performed DJs in randomized order using 3 drop heights (20, 35, and 50 cm). DJ performance (jump height, reactive strength index [RSI]) was analyzed using the Optojump Next system. In addition, correlations were computed between DJ height and RSI with standing-long-jump and 20-m linear-sprint performances. Results: Statistical analyses revealed medium-size main effects of drop height for DJ height and RSI (P < .001, 0.63 ≤ d ≤ 0.71). Post hoc tests indicated larger DJ heights from 20 to 35 and 35 to 50 cm (P ≤ .031, 0.33 ≤ d ≤ 0.71) and better RSI from 20- to 35-cm drop height (P < .001, d = 0.77). No significant difference was found for RSI between 35- and 50-cm drop height. Irrespective of drop height, associations of DJ height and RSI were small with 5-m-split time (−.27 ≤ r ≤ .05), medium with 10-m-split time (−.44 ≤ r ≤ .14), and medium to large with 20-m sprint time and standing-long-jump distance (−.57 ≤ r ≤ .22). Conclusions: The present findings indicate that, irrespective of sex, 35-cm drop heights are best suited to induce rapid and powerful DJ performance (ie, RSI) during reactive strength training in elite adolescent handball players. Moreover, training-related gains in DJ performance may at least partly translate to gains in horizontal jump and longer sprint distances (ie, ≥20-m) and/or vice versa in male and female elite adolescent athletes, irrespective of drop height.

Maturity-Related Differences in Systemic Pulmonary and Localized Fatigue Threshold Among Youth Male Athletes

2019 ◽  
Vol 31 (1) ◽  
pp. 99-106
Author(s):  
Kyle S. Beyer ◽  
Jeffrey R. Stout ◽  
Michael J. Redd ◽  
Kayla M. Baker ◽  
Haley C. Bergstrom ◽  
...  
Keyword(s):  
Analysis Of Variance ◽  
Near Infrared ◽  
Intraclass Correlation ◽  
Peak Height ◽  
Fatigue Threshold ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Distance Method ◽  
Male Athletes ◽  
Significant Group

Purpose: To examine the reliability and the maturity-related differences of fatigue thresholds (FTs) among youth males. Methods: Twenty-nine youth males (11–17 y) completed 2 ramp exercise tests on a cycle ergometer. Systemic FTs were calculated from gas exchange and ventilation variables. Localized FTs were calculated from electromyography and near-infrared spectroscopy of the vastus lateralis. All FTs were determined using the maximal distance method and expressed relative to maximal oxygen consumption. All participants were grouped according to the number of years from peak height velocity into PRE- (< −1.5 y), PERI- (−1.5 to +1.5 y) and POST- (> +1.5 y) peak height velocity. Reliability was assessed with intraclass correlation coefficients, and differences between groups were assessed with analysis of variance and Cohen’s d coefficients. Results: Analysis of variance revealed significant group differences with PRE having significantly greater systemic pulmonary FTs than POST, while localized muscular FTs were significantly greater in PRE when compared with PERI and POST. All FTs exhibited excellent reliability (intraclass correlation coefficient > .75) in all maturity groups. Conclusion: Maturity status appears to influence the onset of FTs among youth male athletes, with FTs occurring later in younger athletes. Furthermore, all FTs were reliable measures regardless of maturity.

scholarly journals Pico de velocidade de crescimento em antropometria e composição corporal de escolares

2017 ◽  
Vol 19 (3) ◽  
pp. 309
Author(s):  
Edilson Hobold ◽  
Lucinar Jupir Forner Flores ◽  
Ricardo Brandt ◽  
Oldemar Mazzardo Junior ◽  
Miguel De Arruda
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Linear Growth ◽  
Linear Trend ◽  
Peak Height ◽  
Male Students ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Increasing Trend ◽  
The Individual

The aim of this study was to analyze the age of Peak Height Velocity (PHV), anthropometric variables and body composition of students from the western state of Paraná. he study included 1,011 male students aged 12-15 years from 11 municipalities located around the Itaipu lake. Anthropometric and body composition variables were obtained according to international criteria. Biological maturation was determined by age of PHV and for the purpose of analysis, it was categorized into developmental levels. The results reinforce, as expected, an increasing trend of variables analyzed as students advanced in maturity. hus, it was concluded that with the advancement of maturation, anthropometric variables maintain a linear growth observed in each PHV stratum. his linear trend is not observed in body composition. Body fat showed a decrease in average values as the individual approaches PHV.

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