Functional fitness benchmark values for older adults: a systematic review.

Introduction: The use of normative values and/or standards of functional fitness in adults is relevant to overall health and well-being. The objectives of the study were: to identify the physical tests of the senior fitness test (SFT) that have been applied since its proposal and to describe the proposed percentiles according to age, sex and country. Methods: A systematic review study was conducted in the Pubmed and Scopus databases. As eligibility criteria, we considered the period from 1999 to 2022 that presented data on SFT test used in the population over 60 years of age and that described normative values through percentiles. MeSH were used as: (1) Physical fitness, Exercise test, Senior Fitness Test, Functional fitness, Cardiorespiratory fitness, (2) older adult, aged, (3) Reference standards, standards, standards of care. Boolean operators "AND" and "OR" were included. Data extracted from the selected studies included: year of publication, country, sample age, sample size, sample sex, fitness component. Results and discussion: Seven studies were identified in five countries (03 in China, 01 in Poland, 01 in Portugal, 01 in Spain and 01 in United States). The age range ranged from 60 to 103 years. The studies were conducted in both sexes. The study with the smallest sample size was by Chung et al. (China) with 944 participants and the largest number of participants was the study by Rikli and Jones in the United States with 7,183 participants. In general, no study was able to complete 100% (8 components) of the tests proposed in the SFT. Normative values were presented through percentile distribution (p10, p50 and p90) organized by age ranges. Males presented better performance in FPF tests than females in all tests. Since the first publication of the SFT until 2022, seven articles have been published in countries such as United States, China (three regional studies), Poland, Portugal and Spain. No study has published the complete battery with its eight components. The percentiles of functional fitness reflect decline with advancing age. Systematic review registration: PROSPERO (CRD42023441294: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023441294).

Prediction of fat-free mass from body surface area in young basketball players.

BACKGROUND: Fat Free Mass (FFM) is an important and essential indicator in various sports populations, since greater muscle and bone mass generates greater strength, endurance and speed in athletes. OBJECTIVE: The purpose of the study was to validate Body Surface Area (BSA) as an anthropometric indicator to estimate FFM in young basketball players. METHODS: A descriptive cross-sectional study was carried out in 105 male basketball players of the Brazilian Basketball Confederation of Sao Paulo (Campinas), Brazil. The age range was 11 to 15 years. Weight and height were evaluated. BSA, body mass index (BMI) and maturity status (MS) were calculated. Total body scanning was performed by dual X-ray absorptiometry (DXA). The components were extracted: Fat mass (FM), Fat free mass (FFM), percentage of fat mass (%FM) and bone mass (BM). The data were analyzed using the correlation coefficient of concordance (CCC) in terms of precision and accuracy. RESULTS: Three regression equations were generated: equation 1 had age and body weight as predictors [FFM= -30.059+(2.926*age)+(0.625*Weight)] (R2 = 92%, precision = 0.96 and accuracy = 0.99), equation 2 used age and BSA [FFM=-45.719+(1.934*age)+(39.388*BSA)] (R2 = 94%, precision = 0.97 and accuracy = 0.99) and equation 3 was based on APHV and BSA [FFM=-15.284+(1.765*APHV)+(37.610*(BSA)] (R2 = 94%, precision = 0.96 and accuracy = 0.99). CONCLUSIONS: The results suggest the use of anthropometric equation using decimal age and BSA to estimate FFM in young basketball players. This new method developed can be used to design, evaluate and control training programs and monitor the weight status of athletes.

Reference values for the 6-min walking test in children and adolescents living in a moderate altitude region of Peru.

BACKGROUND: The assessment of cardiorespiratory fitness is important because it allows the identification of subgroups with poor health status and the targeting of effective intervention strategies to improve health. OBJECTIVE: To compare the cardiorespiratory capacity of children and adolescents living in a moderate altitude region of Peru with international studies and to develop reference values for the 6-min walk test (6MWT) according to age and sex. METHODOLOGY: A descriptive cross-sectional study of schoolchildren from a region of moderate altitude in Peru was carried out. A total of 704 schoolchildren (400 males and 304 females) with an age range of 6 to 17 years were studied. Weight, standing height, waist circumference (WC), body mass index (BMI) and tri-ponderal mass index (TMI) were evaluated. The 6MWT was assessed in a straight line over a distance of 30 m. Percentiles were created through the LMS method [L (skewness: lambda), M (median: mu) and S (coefficient of variation: Mu)]. RESULTS: There were discrepancies in cardiorespiratory fitness performance with international studies by age and sex. The schoolchildren in the study reached stability and the highest number of meters in the last two age ranges (14 to 15 years: 698.1 m and 16 to 17 years 686.3 m in males). While females (14 to 15 years: 698.1 m and 16 to 17 years: 686.3 m). The proposed percentile values show ascending values as age advances. The cut-off points adopted are: low cardiorespiratory fitness < p25, moderate p25 to p75 and high cardiorespiratory fitness p > 75. CONCLUSION: We verified that the cardiorespiratory fitness evaluated by means of the 6MWT is ascending with the course of age. Even the performance with other countries is heterogeneous at early and middle ages, stabilizing during adolescence. The proposed reference values can be used to evaluate and monitor cardiorespiratory fitness during physical education classes.

Annotated Peruvian banknote dataset for currency recognition and classification.

The real-time detection of multinational banknotes remains an ongoing research challenge within the academic community. Numerous studies have been conducted to address the need for rapid and accurate banknote recognition, counterfeit detection, and identification of damaged banknotes [1], [2], [3]. State-of-the-art techniques, such as machine learning (ML) and deep learning (DL), have supplanted traditional digital image processing methods in banknote recognition and classification. However, the success of ML or DL projects critically hinges on the size and comprehensiveness of the datasets employed. Existing datasets suffer from several limitations. Firstly, there is a notable absence of a Peruvian banknote dataset suitable for training ML or DL models. Second, the lack of annotated data with specific labels and metadata for Peruvian currency hinders the development of effective supervised learning models for banknote recognition and classification. Lastly, datasets from different regions may not align with the unique characteristics, design, and security features of Peruvian banknotes, limiting the accuracy and applicability of models in a Peruvian context [4] To address these limitations, we have meticulously curated a comprehensive dataset comprising a total of 9,315 images of Peruvian banknotes, encompassing both old and new denominations from 2011 (old) and 2019 (new) [5]. The Peruvian banknote dataset includes denominations of 10, 20, 50, and 100 Peruvian soles. Importantly, as indicated by [5], both the 2011 and 2019 families of banknotes are currently in circulation, further enhancing the dataset's relevance for real-world applications in currency recognition and verification. This dataset serves as a vital resource for addressing the challenges in real-time multinational banknote detection. By offering a comprehensive collection of images of Peruvian banknotes, both old and new, this dataset fills a critical gap in the field of banknote recognition. Researchers can utilize it to train and evaluate advanced machine learning and deep learning models, ultimately enhancing the accuracy of banknote processing systems.

Reference values for body composition and physical fitness of young Brazilian elite soccer players.

Objective: a) to verify whether body composition and physical fitness should be analyzed by chronological age and/or maturity stage in young Brazilian soccer players and b) to propose reference values for the evaluation of body composition and physical fitness by maturity stage in elite soccer players. Methods: A descriptive-correlational study was carried out in 206 young Brazilian soccer players (11-16 years old). The sample selection was non-probabilistic by convenience. Weight and standing height were evaluated. Body composition (BC) was assessed by dual X-ray absorptiometry (DXA). BC indicators [(percent fat (%F), Fat-free mass (FFM), Fat mass (FM) and Bone mass (BM)] were extracted. For physical fitness (PF), we applied the Flexibility (cm) sit and reach tests, explosive strength tests [Counter Movement Jump CMJ (cm) and horizontal jump HJ (cm)], speed [Speed 10, 20, 30 and 40 m (seconds)] and Yo-Yo endurance level I test. Percentiles were constructed for BC and PF using the LMS method [L (Lambda; skewness), M (Mu; median) and S (Sigma; coefficient of variation)]. Results: The explanatory power between chronological age (CA) with BC was: FM (R2 = 0.03%), FFM (R 2 = 0.66%) and BM (R 2 = 0.62%), while between maturity status (MS) with BC were: FM (R 2 = 0.04%), FFM (R 2 = 0.71%) and BM (R 2 = 0.66). The explanatory power between the CA with the physical fitness tests ranged from: (R 2 = 0.22-0.62%). While between MS with physical fitness the values ranged from: (R 2 = 0.23-0.64%). Percentiles per MS (P3, P5, P10, P15, P25, P50, P75, P85, P90, P95 and P97) were proposed for both BC and PF. Conclusion: The results of the study have shown that the evaluation of BC and PF of young soccer players should be performed by controlling for MS rather than for CA. The inclusion of a non-invasive method to control MS by means of percentiles during puberty may contribute to the development of retention and exclusion of young soccer players, thus, they may have a better chance of achieving sporting success.

Bibliometric study on scientific productivity in the use of smart bracelets.

In recent years, wearable sensors and mHealth applications are becoming an important part for recording and monitoring health parameters. The aim is to characterize bibli-ometric indicators on scientific productivity in the use of smart bracelets according to scientific journal, study topic and publication trend. A bibliometric study was per-formed. The data extracted from the articles were: year of publication, name of the journal, language of publication, country, type of study and subject matter. A total of 45 studies were identified (21 cross-sectional and 24 experimental), of which 43 were published in English, one in Spanish and one in German. A total of 32 scientific journals published eight research topics related to smartwatch use [active living with 17 studies (37.8%), followed by stress and anxiety with 7 studies (15.6%), nanogenerators (batteries) with 6 studies (13.3%), computing with 5 studies (11.1%), chronic diseases 4 studies (8.9%), COVID propagation 3 studies (6.7%), energy expenditure 2 studies (4.4%) and occupational health 1 study (2.2%)]. The journal Sensors (Basel) published the most articles in the last 6 years (n=7, 16%). The scientific productivity of both study types reflects a positive trend (cross-sectional studies R2= 0.82 and in experimental studies R2= 0.76). A total of 45 cross-sectional and experimental studies using smart-watches were verified in eight different study topics. The most investigated category was active living and the journal that published the highest number of articles was the journal Sensors (Basel).

Quantification of the Number of Steps in a School Recess by Means of Smart Bands: Proposal of Referential Values for Children and Adolescents.

(1) Background: Regular physical activity has multiple benefits. Therefore, school recess is a key tool to provide opportunities for schoolchildren to engage in extracurricular physical activity, have fun, play and interact with their peers. The aim is to provide reference data to quantify the number of steps that children and adolescents perform in a school recess using smart bands according to age range and sex. (2) Method: A descriptive cross-sectional study was carried out in 494 schoolchildren aged 6 to 17 years (292 males and 202 females). Weight, standing height and waist circumference (WC) were evaluated. The body mass index (BMI) was calculated. The quantification of the number of steps during school recess was performed using a smart band. (3) Results: Percentiles were constructed for the number of steps (number of steps/recess). The cut-off points considered were p75 (above average). The median values in both sexes decreased as the age range increased. Youth who walked fewer steps during recess (

Accuracy in body composition scanning by adult half-body DXA scanning / Precisión en la exploración de la composición corporal mediante DXA de medio cuerpo en adultos

Introduction: dual-energy X-ray absorptiometry (DXA) is the gold standard method, although one limitation is the size of the scan area. Objective: the objective was to verify the accuracy of body composition (BC) scanning through half-body DXA scanning compared to standard total body scanning. Methods: a study was conducted on 145 volunteers. Weight and height were assessed. Body mass index (BMI) was calculated. DXA was used for whole-body scan (WBS) and half-body scan (HBS). WBS was used as the reference method and the following indicators were extracted: bone mineral content (BMC), fat mass (FM), lean soft tissue (LST) and percentage fat mass (%FM). Results: no differences were observed in the body composition indicators (BMC, FM, LST and %FM) when compared between the reference WBS scanner and the HBS scanner. The predictive power between both scans ranged in both sexes between R2 = 0.94 and 0.98. The DRI desirable reproducibility index values defining the degree of agreement between both scans ranged from 0.97 to 0.99, and the values for precision (0.97 to 0.99) and accuracy (0.99) were high. Conclusion: HBS scanning by DXA evidenced agreement, and high values of accuracy and precision to assess body composition indicators (BMC, FM, LST and %FM). (AU)

Introducción: la absorciometría de rayos X de doble energía (DXA) es el método de referencia, aunque una limitación es el tamaño del área de exploración. Objetivo: el objetivo fue verificar la precisión de la exploración de la CB mediante la exploración DXA de medio cuerpo en comparación con la exploración estándar de todo el cuerpo. Métodos: se realizó un estudio con 145 voluntarios. Se evaluaron el peso y la altura. Se calculó el índice de masa corporal (IMC). Se utilizó la DXA para la exploración de cuerpo entero (WBS) y la exploración de medio cuerpo (HBS). Se utilizó la PEP como método de referencia y se extrajeron los siguientes indicadores: contenido mineral óseo (CMO), masa grasa (MG), tejido blando magro (TBL) y porcentaje de masa grasa (%MG). Resultados: no se observaron diferencias en los indicadores de composición corporal (BMC, FM, LST y %FM) cuando se compararon entre el escáner WBS de referencia y el escáner HBS. El poder predictivo entre ambos escáneres osciló en ambos sexos entre R2 = 0,94 y 0,98. Los valores del índice de reproducibilidad deseable DRI que definen el grado de acuerdo entre ambas exploraciones oscilaron entre 0,97 y 0,99, y los valores de precisión (0,97 a 0,99) y exactitud (0,99) fueron altos. Conclusión: la exploración de HBS mediante DXA evidenció concordancia y altos valores de exactitud y precisión para evaluar los indicadores de composición corporal (BMC, FM, LST y %FM). (AU)

Accuracy in body composition scanning by adult half-body DXA scanning.

Introduction: Introduction: dual-energy X-ray absorptiometry (DXA) is the gold standard method, although one limitation is the size of the scan area. Objective: the objective was to verify the accuracy of body composition (BC) scanning through half-body DXA scanning compared to standard total body scanning. Methods: a study was conducted on 145 volunteers. Weight and height were assessed. Body mass index (BMI) was calculated. DXA was used for whole-body scan (WBS) and half-body scan (HBS). WBS was used as the reference method and the following indicators were extracted: bone mineral content (BMC), fat mass (FM), lean soft tissue (LST) and percentage fat mass (%FM). Results: no differences were observed in the body composition indicators (BMC, FM, LST and %FM) when compared between the reference WBS scanner and the HBS scanner. The predictive power between both scans ranged in both sexes between R2 = 0.94 and 0.98. The DRI desirable reproducibility index values defining the degree of agreement between both scans ranged from 0.97 to 0.99, and the values for precision (0.97 to 0.99) and accuracy (0.99) were high. Conclusion: HBS scanning by DXA evidenced agreement, and high values of accuracy and precision to assess body composition indicators (BMC, FM, LST and %FM).

Introducción: Introducción: la absorciometría de rayos X de doble energía (DXA) es el método de referencia, aunque una limitación es el tamaño del área de exploración. Objetivo: el objetivo fue verificar la precisión de la exploración de la CB mediante la exploración DXA de medio cuerpo en comparación con la exploración estándar de todo el cuerpo. Métodos: se realizó un estudio con 145 voluntarios. Se evaluaron el peso y la altura. Se calculó el índice de masa corporal (IMC). Se utilizó la DXA para la exploración de cuerpo entero (WBS) y la exploración de medio cuerpo (HBS). Se utilizó la PEP como método de referencia y se extrajeron los siguientes indicadores: contenido mineral óseo (CMO), masa grasa (MG), tejido blando magro (TBL) y porcentaje de masa grasa (%MG). Resultados: No se observaron diferencias en los indicadores de composición corporal (BMC, FM, LST y %FM) cuando se compararon entre el escáner WBS de referencia y el escáner HBS. El poder predictivo entre ambos escáneres osciló en ambos sexos entre R2 = 0,94 y 0,98. Los valores del índice de reproducibilidad deseable DRI que definen el grado de acuerdo entre ambas exploraciones oscilaron entre 0,97 y 0,99, y los valores de precisión (0,97 a 0,99) y exactitud (0,99) fueron altos. Conclusión: la exploración de HBS mediante DXA evidenció concordancia y altos valores de exactitud y precisión para evaluar los indicadores de composición corporal (BMC, FM, LST y %FM).

Comparación de parámetros antropométricos y de composición corporal de futbolistas profesionales / A Comparison of Anthropometric Parameters and the Body Composition of Professional Soccer Players

Resumen El presente estudio tuvo por objetivo comparar los parámetros antropométricos y de composición corporal en futbolistas profesionales en cinco temporadas. Se efectuó un estudio transversal (comparativo). Se estudió a 120 futbolistas, donde cada cohorte por año se evaluó a 24 futbolistas. El rango de edad fue de 18 a 37 años. Se evaluó a los futbolistas al inicio de cada temporada en los años 2012 a 2016: Se midió el peso, la estatura, seis pliegues cutáneos (Tríceps, subescapular, supra-iliaco, abdominal, muslo y pantorrilla). Se calculó el Índice de Masa corporal IMC, % de grasa, la masa grasa y masa libre de grasa MLG. El tejido adiposo se agrupó en tres grupos (brazo: (tricpes+subescapular, tronco: suprailiaco+abdominal, Piernas: muslo+pantorrilla). Hubo diferencias en el peso corporal, la estatura, la sumatoria de los 6 pliegues y la MLG a lo largo de los 5 años. [año 2012 (Peso: 76,6±7.8kg, estatura: 177.6±5.7cm, Pliegues: 58.7±12.8mm, MLG: 64.5±6.3mm), año 2013: (Peso: 77.8±6.4kg, Estatura: 178,4±4.4, Pliegues: 60.1±15.9mm, MLG:66.3±3.5mm), año 2014: (Peso: 74.9±5.7kg, Estatura: 177.0±5.8cm, Pliegues: 54.4±14.7mm, MLG: 64.5±4.5kg), año 2015: (Peso: 74.1±6.8kg, Estatura: 176.1±5.5cm, Pliegues: 54.9±15.6mm, MLG: 63.8±4.6kg), año 2016: (Peso: 72.7±kg, Estatura: 175.3±6.9kg, Pliegues: 50.8±12.mm, MLG: 62.8±5.9kg)]. Este estudio verificó que el perfil antropométrico y el tejido adiposo de los futbolistas fueron disminuyendo en cada temporada, mientras que la MLG reflejó similares valores en cada uno de las cohortes evaluadas.

Abstract The present cross-sectional (comparative) study aimed to compare the anthropometric and body composition parameters in professional soccer players over five seasons. It was conducted on 120 soccer players grouped in a cohort of 24 subjects per year. The age range was 18 to 37 years. The footballers were evaluated at the beginning of each season from 2012 to 2016; weight, height, six skin folds (triceps, subscapularis, supra-iliac, abdominal, thigh, and calf) were evaluated from 2012 to 2015. The Body Mass Index (BMI), fat percentage, fat mass, and FFM were calculated. The adipose tissue was grouped into three groups: arm (triceps + subscapular), trunk (supra iliac + abdominal), and legs (thigh + calf). Body weight, height, the sum of the 6 folds, and the MLG varied during the 5 years. For 2012 the results were the following: Weight, 76.6 ± 7.8kg; Height, 177.6 ± 5.7cm; Folds, 58.7 ± 12.8mm; MLG, 64.5 ± 6.3mm). In 2013, these were the results: Weight, 77.8 ± 6.4kg; Height, 178, 4 ± 4.4; Folds, 60.1 ± 15.9mm; MLG, 66.3 ± 3.5mm). These were the measures obtained in 2014: Weight, 74.9 ± 5.7kg; Height, 177.0 ± 5.8cm; Folds, 54.4 ± 14.7mm; MLG, 64.5 ± 4.5kg ). And these were of the year 2015: Weight, 74.1 ± 6.8kg; Height, 176.1 ± 5.5cm; Folds, 54.9 ± 15.6mm; MLG, 63.8 ± 4.6kg). Finally, in 2016 these were the measures collected: Weight, 72.7 ± kg; Height, 175.3 ± 6.9 kg; Folds, 50.8 ± 12.mm; MLG, 62.8 ± 5.9kg. This study verified that the soccer players' anthropometric profile and adipose tissue decreased each season, while the MLG reflected similar values in each of the evaluated cohorts.

Resumo O presente estudo teve como objetivo comparar os parâmetros antropométricos e de composição corporal em jogadores profissionais de futebol durante cinco temporadas. Foi realizado um estudo transversal (comparativo). Foi estudado um total de 120 jogadores de futebol, onde cada coorte por ano foram avaliados 24 jogadores. A faixa etária era de 18 a 37 anos. Os futebolistas foram avaliados no início de cada temporada, nos anos de 2012 a 2016. Foram medidas altura, peso, seis dobras da pele (tríceps, subescapular, supra ilíaca, abdominal, coxa e calcanhar). Foram calculados índice de massa corporal IMC, % de gordura, massa de gordura e massa livre de gordura MLG. O tecido adiposo foi agrupado em três grupos (braço: tríceps + subescapular, tronco: suprailíaco + abdominal, pernas: coxa + calcanhar). Houve diferenças no peso corporal, na altura, a soma de 6 dobras e a MLG ao longo dos 5 anos: ano 2012 (Peso: 76,6±7,8kg, Altura: 177,6±5,7cm, Dobras: 58,7±12,8mm, GLM: 64,5±6,3mm), ano 2013 (Peso: 77,8±6,4kg, Altura: 178,4±4,4, Dobras: 60,1±15,9mm, GLM:66,3±3.5mm), ano 2014 (Peso: 74,9±5,7kg, Altura: 177,0±5,8cm, Dobras: 54,4±14,7mm, GLM: 64,5±4,5kg), ano 2015 (Peso: 74,1±6,8kg, Altura: 176,1±5,5cm, Dobras: 54,9±15,6mm, GLM: 63,8±4,6kg), ano 2016 (Peso: 72,7±kg, Altura: 175,3±6,9kg, Dobras: 50,8±12,mm, GLM: 62,8±5,9kg). Este estudo verificou que o perfil antropométrico e o tecido adiposo dos jogadores de futebol diminuíram em cada temporada, enquanto que a MLG refletiu valores similares em cada um dos coortes avaliados.

Relationship between the body mass index and the ponderal index with physical fitness in adolescent students.

BACKGROUND: The relationship between the Body Mass Index (BMI) with physical fitness in children and adolescent populations from diverse regions are consistent. However, the relationship between the Ponderal Index (PI) with physical fitness, based on what is known to date, has not been examined in depth. The objective was to evaluate the relationships between BMI and PI with three physical fitness tests of students living at moderate altitudes in Peru. METHODS: A descriptive correlational study was carried out with 385 adolescents, between the ages of 10.0 to 15.9 years old, from the province of Arequipa, Peru. Weight, height, and three physical fitness tests (horizontal jump, agility, and abdominal muscle resistance) were evaluated. BMI and PI were calculated, and they were, then, categorized into three strata (low, normal, and excessive weight). Specific regressions were calculated for sex, using a non-lineal quadratic model for each item adjusted for BMI and PI. RESULTS: The relationship between BMI and PI with the physical tests reflected parabolic curves that varied in both sexes. The regression values for BMI in males oscillated between R2 = 0.029 and 0.073 and for females between R2 = 0.008 and 0.091. For PI, for males, it varied from R2 = 0.044 to 0.82 and for females, from R2 = 0.011 to 0.103. No differences occurred between the three nutritional categories for BMI as well as for PI for both sexes (p range between 0.18 to 0.38), as well as for low weight (BMI vs PI), normal weight (BMI vs PI), and excessive weight (BMI vs PI) (p range between 0.35 to 0.64). CONCLUSIONS: BMI showed inferior quadratic regressions with respect to the PI. In addition, physical performance was slightly unfavorable when it was analyzed by BMI. PI could be a useful tool for analyzing and predicting physical fitness for adolescents living at a moderate altitude since it corrects for the notable differences for weight between adolescents.

Comparison of anthropometric indicators as predictors of the percentage of fat mass in young people and older adults in Chile.

OBJECTIVE: To verify whether triponderal mass index (TMI) has a greater accuracy than body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR) as predictors of obesity in young people and older adults in a region of Chile. MATERIAL AND METHODS: A cross-sectional descriptive study was carried out in 1176 adults (565 men and 611 women) from the Maule region (Chile). Their ages ranged from 20 to 80 years. The percentage of fat mass (%FM) was evaluated by means of dual energy X-ray absorptiometry (DXA). Weight, height and waist circumference (WC) were evaluated. TMI, BMI and WHtR were calculated. RESULTS: The %FM predictions for BMI were 0.47% for men and 0.50% for women; for TMI, it was 0.50% for men and 0.51% for women; for WC, it was 0.28% for men and 0.21% for women; and finally, for WHtR, it was 0.28% in men and 0.21% in women. The area under the curve (AUC) for BMI was 0.85 in men and 0.85 in women; for TMI, it was 0.87 in men and 0.86 in women; for WHtR, it was 0.76 in men and 0.72 in women; and for WC, the AUC was 0.72 in men and 0.71 in women. CONCLUSION: It was shown that TMI is the indicator that presented the greatest association with %FM and estimates body fat levels with greater precision than BMI, WC and WHtR. The results suggest its use and application as an indicator that discriminates obesity in young, middle-aged and elderly adults.

Relationship between age and handgrip strength: Proposal of reference values from infancy to senescence.

Introduction: Measurement of hand grip strength (HGS) has been proposed as a key component of frailty and has also been suggested as a central biomarker of healthy aging and a powerful predictor of future morbidity and mortality. Objectives: (a) To determine whether a nonlinear relationship model could improve the prediction of handgrip strength (HGS) compared to the linear model and (b) to propose percentiles to evaluate HGS according to age and sex for a regional population of Chile from infancy to senescence. Methods: A cross-sectional descriptive study was developed in a representative sample of the Maule region (Chile). The volunteers amounted to 5,376 participants (2,840 men and 2,536 women), with an age range from 6 to 80 years old. Weight, height, HGS (right and left hand) according to age and sex were evaluated. Percentiles were calculated using the LMS method [(L (Lambda; asymmetry), M (Mu; median), and S (Sigma; coefficient of variation)]. Results and discussion: There were no differences in HGS from 6 to 11 years of age in both sexes; however, from 12 years of age onwards, males presented higher HGS values in both hands (p < 0.05). The linear regression between age with HGS showed values of R 2 = 0.07 in males and R 2 = 0.02 in females. While in the non-linear model (cubic), the values were: R 2 = 0.50 to 0.51 in men and R 2 = 0.26 in women. The percentiles constructed by age and sex were: P5, P15, P50, P85, and P95 by age range and sex. This study demonstrated that there is a nonlinear relationship between chronological age with HGS from infancy to senescence. Furthermore, the proposed percentiles can serve as a guide to assess and monitor upper extremity muscle strength levels at all stages of life.

Equations predicting maturity status: Validation in a cross-sectional sample to assess physical growth and body adiposity in Chilean children and adolescents.

OBJECTIVE: To validate regression equations that predict the state of maturity (MS) to evaluate the physical growth and body fatness of Chilean children and adolescents. MATERIAL AND METHODS: A transversal study was carried out in 8094 school children between 6.0 and 18.9 years old. Weight, standing height, sitting height, and waist circumference (WC) were evaluated. Peak growth rate (PVC) was estimated by the mathematical model 1 of Preece-Baines (MPB). Mirwald's equations (based on age, weight, standing height, sitting height, and leg length) and Moore's equations (based on age, weight, and standing height) were used to estimate MS. The body mass index (BMI) was calculated. RESULTS: The BMP showed that the PVC in men was 10.33 ±â€¯0.29 years and in women was 12.81 ±â€¯0.27 years. Using Mirwald's equation, men reached MS at 14.09 ±â€¯0.8 APVC and women at 11.6 ±â€¯0.9 APVC, while using Moore's equation, men reached 13.7 ±â€¯0.6 APVC and women at 12.1 ±â€¯0.6 APVC. There were significant differences between MPB with Mirwald, MPB with Morre, and between Mirwald and Moore (p < 0.001). Explanation values by MS category were Mirwald's equation [men (early R2 = 0.81, mean R2 = 0.69 and late R2 = 0.09) and women (early R2 = 0.83, mean R2 = 0.83 and late R2 = 0.77)], Moore's equation [men (early R2 = 0.93, mean R2 = 0.70 and late R2 = 0.79) and women (early R2 = 0.89, mean R2 = 0.89 and late R2 = 0.83)]. Percentiles were created for weight, height, CC and BMI. CONCLUSION: It was verified that Moore's and Mirwald's equations differ with the mathematical model MPB in both sexes. However, Moore's equation could be useful for the evaluation of MS in Chilean children and adolescents.

Relación entre Índice de Masa Corporal con trastornos del sueño en adolescentes escolares / Relationship between Body Mass Index with sleep disorders in school adolescents

Fundamentos: El trastorno del sueño está relacionado con diferentes factores, entre los que destaca el índice de masa corporal (IMC). Un inadecuado y/o insuficiente sueño puede causar obesidad y desencadenar en la presencia de diversas enfermedades cardiometabólicas a edades tempranas. El objetivo del trabajo fue verificar la relación entre trastornos del sueño y el IMC de adolecentes de ambos sexos, y comparar los valores del trastorno del sueño y el IMC con los valores de referencia de Chile. Métodos: Se efectuó un estudio descriptivo transversal en 119 adolescentes (69 hombres y 50 mujeres) con un rango de edad de 16 a 17 años. Se evaluó el peso, la estatura y se calculó el IMC. Se evaluaron los trastornos del sueño con una escala de autopercepción de 24 preguntas. Resultados: Hubo correlación positiva entre los trastornos del sueño con el IMC (hombres r= 0,13, p<0,05, y en mujeres r= 0,16, p<0,05). No hubo diferencias en el IMC con la referencia chilena, las variaciones fueronmínimas entre ambos sexos (entre 0,03 a 1,61kg/m2). En los trastornos del sueño, los adolescentes del estudio obtuvieron puntaciones significativamente más altas que la referencia chilena (oscilando entre 15,3 a 17,5 puntos). Conclusiones: Los trastornos del sueño parecen tener relación con el incremento del IMC y/o viceversa, esto podría desempeñar un papel importante para el desarrollo de obesidad entre los jóvenes. (AU)

Background: Sleep disorder is related to different factors such as body mass index. Inadequate and / or insufficient sleep can cause obesity and trigger the presence of various cardiometabolic diseases at an early age. To verify the relationship between sleep disorders with the BMI Body Mass Index of adolescents of both sexes, and to compare the BMI and sleep disorder values with the reference values for Chile. Methods: A descriptive cross-sectional (correlational) study was conducted in 119 adolescents (69 men and 50 women) with an age range of 16 to 17 years. Weight, height, and BMI were calculated. Sleep disorderswere assessed with a self-perception scale of 24 questions. Results: There was a positive correlation between sleep disorders and BMI (men r= 0.13, p<0.05, and in women r= 0.16, p<0.05). There were no differences in BMI with the Chilean reference; variations wereminimal (between 0.03 to 1.61kg/m2 in both sexes). In sleep disorders, the adolescents in the study obtained significantly higher scores than the Chilean reference (ranging from 15.3 to 17.5 points). Conclusions: Sleep disorders seem to be related to the increase in BMI and / or vice versa, this could play an important role for the development of obesity among young people. (AU)

Physical growth of children and adolescents living at a moderate altitude: proposed percentiles based on age and sex / Crecimiento físico de los niños y adolescentes que viven a una altitud moderada: percentiles propuestos en función de la edad y el sexo

Introduction: physical growth patterns and nutritional status of children and adolescents living at a moderate altitude are not applicable for clinical assessment of growth for diverse populations around the world. Objective: a) to compare weight, height and body mass index (BMI) variables with CDC-2012 references; b) to verify if BMI and/or ponderal index (PI) are applicable to children living at a moderate altitude; and c) to propose percentiles to assess physical growth by age and sex. Methods: a total of 5,377 students, ranging in age from 6.0 to 17.9 years, were evaluated. The students were from two geographic regions of moderate altitude in Peru (2,320 meters) and Colombia (2,640 meters). Weight and height were measured. BMI and PI were calculated. Weight, height and BMI were compared with CDC-2012 references. Results: males showed lower weight and height from age 11 to 17.9 years compared to CDC-2012. Females weighed less than the reference from 9.0 to 17.9 years. Female height was lower from 6.0 to 14.9 years; however, from 15.0 to 17.9 years, values were similar to the reference. As for BMI, there were differences in both sexes (in males, from 15.0 to 17.9 years, and in females, from 12.0 to 17.9 years). Age, weight and height explained BMI: between R2 = 17 and 83 % in males, and in females between R2 = 24 and 85 %. These same variables influenced PI in a lower percentage in both sexes: for males (R2 = 0.01 to 49 %) and for females (R2 = 0.01 to 18 %). (AU)

Introducción: los patrones de crecimiento físico y el estado nutricional de los niños y adolescentes que viven a una altitud moderada no son aplicables para la evaluación clínica del crecimiento de las diversas poblaciones del mundo. Objetivo: a) comparar las variables de peso, estatura e índice de masa corporal (IMC) con las referencias del CDC-2012; b) verificar si el IMC y/o el índice ponderal (IP) son aplicables a los niños que viven a una altitud moderada, y c) proponer percentiles para evaluar el crecimiento físico por edad y sexo. Métodos: se evaluaron 5377 estudiantes con edades que oscilaban entre los 6,0 y 17,9 años. Los estudiantes procedían de dos regiones geográficas de altitud moderada de Perú (2320 metros) y Colombia (2640 metros). Se midieron el peso y la estatura. Se calcularon el IMC y el IP. El peso, la estatura y el IMC se compararon con las referencias de los CDC-2012. Resultados: los varones mostraron un peso y una estatura inferiores de los 11 hasta los 17,9 años en comparación con la CDC-2012. Las mujeres pesaron menos que la referencia desde los 9,0 hasta los 17,9 años. La estatura de las mujeres fue inferior de los 6,0 a los 14,9 años; sin embargo, de los 15,0 a los 17,9 años, los valores fueron similares a los de referencia. En cuanto al IMC, se produjeron diferencias en ambos sexos (en varones, desde 15,0 hasta 17,9 años, y en mujeres, de 12,0 hasta 17,9 años). La edad, el peso y la altura explicaron el IMC: entre R2 = 17 y 83 % en los varones, y en mujeres entre R2 = 24 y 85 %. Estas mismas variables influyeron en el IP en un porcentaje menor en ambos sexos: para los varones (R2 = 0,01 a 49 %) y para las mujeres (R2 = 0,01 a 18 %). (AU)

Propuesta de percentiles para evaluar el crecimiento físico y la adiposidad corporal en función del estado de madurez en niños y adolescentes chilenos / Proposal of percentiles to evaluate physical growth and body adiposity as a function of maturity status in Chilean children and adolescents

Introducción: durante la infancia y la adolescencia existe una gran variabilidad individual en el crecimiento y la maduración biológica, lo que resulta en diferencias en el tamaño, la forma y la composición corporal de los niños y adolescentes de edad similar. Objetivo: proponer percentiles para evaluar el crecimiento físico y la adiposidad corporal en función del estado de madurez (EM) en niños y adolescentes chilenos. Métodos: se diseñó un estudio descriptivo (transversal) en 7292 niños y adolescentes (4214 chicos y 3084 chicas) de la región del Maule (Chile). El rango de edad oscila entre 6,0 y 17,9 años. Se evaluó el peso, la estatura y la circunferencia de la cintura (CC). Se calculó el índice de masa corporal (IMC), el índice cintura-estatura (ICE) y el EM a través de una técnica antropométrica no invasiva basada en la edad cronológica y la estatura de pie. Se utilizó el método LMS para calcular los percentiles. Resultados: el EM calculado en los chicos se observó a los 13,7 ± 0,6 APVC (años de pico de velocidad de crecimiento) y en las chicas a los 12,1 ± 0,6 APVC. Se crearon percentiles para el peso, la estatura, la CC, el IMC y el ICE. Todas las variables antropométricas se incrementan conforme el EM aumenta en APVC. Conclusión: los percentiles propuestos son una alternativa para evaluar el crecimiento físico y la adiposidad corporal en función del EM en los niños y adolescentes chilenos. Los resultados sugieren que esta técnica no invasiva puede aplicarse en contextos clínicos y epidemiológicos. (AU)

Introduction: during childhood and adolescence there is great individual variability in growth and biological maturation, resulting in differences in size, shape and body composition in children and adolescents of similar age. Objective: to propose percentiles to assess physical growth and body adiposity as a function of maturity status (SM) in Chilean children and adolescents. Methods: a descriptive (cross-sectional) study was designed in 7,292 children and adolescents (4214 boys and 3084 girls) from the Maule region (Chile). The age range was 6.0 to 17.9 years. Weight, height and waist circumference (WC) were evaluated. Body mass index (BMI), waist-height index (WHtR) and SM were calculated through a non-invasive anthropometric technique based on chronological age and standing height. The LMS method was used to calculate percentiles. Results: the SM calculated in boys was observed at 13.7 ± 0.6 APHV (years of peak growth speed) and in girls at 12.1 ± 0.6 APHV. Percentiles were created for weight, height, WC, BMI, and WHtR. All anthropometric variables increase as MS increases in PHV years. Conclusion: the proposed percentiles are an alternative to evaluate physical growth and body adiposity as a function of SM in Chilean children and adolescents. The results suggest the use of this non-invasive technique to be applied in clinical and epidemiological contexts. (AU)

Estimación de la masa grasa por medio de indicadores antropométricos en jóvenes con síndrome de Down / Estimation of fat mass by anthropometric indicators in young people with Down syndrome

Introducción: la evaluación de la composición corporal es relevante y útil para diseñar intervenciones de estilos de vida saludables y estrategias nutricionales.Objetivos: verificar las relaciones existentes entre los indicadores de adiposidad y la masa grasa (MG), y validar ecuaciones que permitan predecir la MG en jóvenes con síndrome de Down (SD).Métodos: se efectuó un estudio transversal en 48 jóvenes con SD (24 hombres y 24 mujeres). Se evaluaron el peso, la estatura, la circunferencia de la cintura (CC) y la circunferencia de la cadera (CCa). Se calcularon el índice de masa corporal (IMC), el índice de adiposidad corporal (IAC), el índice cintura-cadera (ICC) y el índice cintura-estatura (ICE). Se evaluó la MG mediante absorciometría de rayos X de doble energía (DXA). Resultados: la edad de los hombres era de 19,3 ± 3,0 años y la de las mujeres de 18,9 ± 1,9 años; el peso era de 73,6 ± 14,3 kg en los hombres y de 75,8 ± 20,3 kg en las mujeres; finalmente, la estatura de los hombres era de 168,9 ± 6,5 cm y la de las mujeres de 156,3 ± 6,2 cm. En los hombres, las correlaciones entre la MG (DXA) y los parámetros IMC, CC, CCa, ICE, IAC e ICE oscilaron entre r = 0,01 y r = 0,89; en las mujeres, entre r = 0,10 y r = 0,97. Las correlaciones más altas se observaron con el IMC y la CC en ambos sexos (hombres, r = 0,78 a 0,92 y mujeres, r = 0,83 a 0,97). Se generaron ecuaciones de regresión para estimar la MG en los hombres (R2 = 84 %) y en las mujeres (R2 = 96 %). Se calcularon los percentiles de MG según la DXA y con cada ecuación. Conclusiones:hubo correlaciones positivas significativas del IMC y la CC con la MG. Estos indicadores fueron determinantes para desarrollar ecuaciones que estiman la MG de los jóvenes con SD. Los resultados sugieren su uso y aplicación para evaluar, clasificar y monitorizar los niveles de adiposidad corporal en contextos clínicos y epidemiológicos. (AU)

Introduction: the assessment of body composition is relevant and useful for designing interventions for healthy lifestyles and nutritional strategies. Objective: our goal was to verify the relationships between adiposity indicators with fat mass (FM), and to validate equations that allow predicting FM in young people with Down syndrome (SD). Methods: a cross-sectional study was carried out in 48 young people with DS (24 men and 24 women). Weight, height, waist circumference (WC), and hip circumference (HC) were evaluated. Body mass index (BMI), body adiposity index (BAI), waist-to-hip index (WHI), and waist-to-height index (WHtR) were calculated. FM was evaluated by dual energy X-ray absorptiometry (DXA). Results: age in men was 19.3 ± 3.0 years, and in women it was 18.9 ± 1.9 years; weight was 73.6 ± 14.3 kg in men and 75.8 ± 20.3 kg in women, and height in men was 168.9 ± 6.5 cm, and in women it was 156.3 ± 6.2 cm. In males the correlations between FM (DXA) with BMI, WC, HC, WHtR, BAI and WHtR ranged from r = 0.01 to r = 0.89, and in females from r = 0.10 to r = 0.97. The highest correlations were observed with BMI and WC in both sexes (males r = 0.78 to 0.92, and females r = 0.83 to 0.97). Regression equations were generated to estimate FM in males (R2 = 84 %) and in females (R2 = 96 %). Percentiles were calculated for MG per DXA and for each equation. Conclusions: there were significant positive correlations between BMI and WC with FM. These indicators were decisive for developing equations that estimate FM in young people with DS. The results suggest its potential use and application to evaluate, classify and monitor body fat levels in clinical and epidemiological contexts. (AU)

Physical growth of children and adolescents living at a moderate altitude: proposed percentiles based on age and sex.

INTRODUCTION: Introduction: physical growth patterns and nutritional status of children and adolescents living at a moderate altitude are not applicable for clinical assessment of growth for diverse populations around the world. Objective: a) to compare weight, height and body mass index (BMI) variables with CDC-2012 references; b) to verify if BMI and/or ponderal index (PI) are applicable to children living at a moderate altitude; and c) to propose percentiles to assess physical growth by age and sex. Methods: a total of 5,377 students, ranging in age from 6.0 to 17.9 years, were evaluated. The students were from two geographic regions of moderate altitude in Peru (2,320 meters) and Colombia (2,640 meters). Weight and height were measured. BMI and PI were calculated. Weight, height and BMI were compared with CDC-2012 references. Results: males showed lower weight and height from age 11 to 17.9 years compared to CDC-2012. Females weighed less than the reference from 9.0 to 17.9 years. Female height was lower from 6.0 to 14.9 years; however, from 15.0 to 17.9 years, values were similar to the reference. As for BMI, there were differences in both sexes (in males, from 15.0 to 17.9 years, and in females, from 12.0 to 17.9 years). Age, weight and height explained BMI: between R2 = 17 and 83 % in males, and in females between R2 = 24 and 85 %. These same variables influenced PI in a lower percentage in both sexes: for males (R2 = 0.01 to 49 %) and for females (R2 = 0.01 to 18 %). Conclusions: children and adolescents living at a moderate altitude in Peru and Colombia diverge from the CDC-2012 physical growth patterns. In addition, PI is a new alternative for estimating weight in relation to BMI. The proposed curves for weight, height, and PI by age and sex could have greater implications in the control of child health programs and in clinical and epidemiological practices.

INTRODUCCIÓN: Introducción: los patrones de crecimiento físico y el estado nutricional de los niños y adolescentes que viven a una altitud moderada no son aplicables para la evaluación clínica del crecimiento de las diversas poblaciones del mundo. Objetivo: a) comparar las variables de peso, estatura e índice de masa corporal (IMC) con las referencias del CDC-2012; b) verificar si el IMC y/o el índice ponderal (IP) son aplicables a los niños que viven a una altitud moderada, y c) proponer percentiles para evaluar el crecimiento físico por edad y sexo. Métodos: se evaluaron 5377 estudiantes con edades que oscilaban entre los 6,0 y 17,9 años. Los estudiantes procedían de dos regiones geográficas de altitud moderada de Perú (2320 metros) y Colombia (2640 metros). Se midieron el peso y la estatura. Se calcularon el IMC y el IP. El peso, la estatura y el IMC se compararon con las referencias de los CDC-2012. Resultados: los varones mostraron un peso y una estatura inferiores de los 11 hasta los 17,9 años en comparación con la CDC-2012. Las mujeres pesaron menos que la referencia desde los 9,0 hasta los 17,9 años. La estatura de las mujeres fue inferior de los 6,0 a los 14,9 años; sin embargo, de los 15,0 a los 17,9 años, los valores fueron similares a los de referencia. En cuanto al IMC, se produjeron diferencias en ambos sexos (en varones, desde 15,0 hasta 17,9 años, y en mujeres, de 12,0 hasta 17,9 años). La edad, el peso y la altura explicaron el IMC: entre R2 = 17 y 83 % en los varones, y en mujeres entre R2 = 24 y 85 %. Estas mismas variables influyeron en el IP en un porcentaje menor en ambos sexos: para los varones (R2 = 0,01 a 49 %) y para las mujeres (R2 = 0,01 a 18 %). Conclusiones: los niños y adolescentes que viven a una altitud moderada en Perú y Colombia divergen de los patrones de crecimiento físico del CDC-2012. Además, el IP es una nueva alternativa para estimar el peso en relación al IMC. Las curvas propuestas para el peso, la talla y el IP por edad y sexo podrían tener mayores implicaciones en el control de los programas de salud infantil y en las prácticas clínicas y epidemiológicas.

Comparison of anthropometric indicators as predictors of the percentage of fat mass in young people and older adults in Chile. / Comparación de indicadores antropométricos como predictores del porcentaje de masa grasa en jóvenes y adultos mayores de Chile.

OBJECTIVE: To verify whether tri-ponderal mass index (TMI) has a higher accuracy than body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR) as predictors of obesity in young people and older adults in a region of Chile. MATERIAL AND METHODS: A cross-sectional descriptive study was carried out in 1,176 adult subjects (565 men and 611 women) from the Maule region (Chile). The age range was from 20 to 80 years old. The percentage of fat mass (%FM) was evaluated by means of dual energy X-ray absorptiometry (DXA). Weight, height and WC were evaluated. TMI, BMI and WHtR were calculated. RESULTS: The predictions of %FM for BMI were 0.47% for men and 0.50% for women, for TMI it was 0.50% for men and 0.51% for women, for WC it was 0.28% for men and 0.21% for women, and finally, for the WHtR it was 0.28% in men and 0.21% in women. The area under the curve (AUC) for the BMI was 0.85 in both men and women, for the TMI, it was 0.87 in men and 0.86 in women, for the WHtR, in men it was 0.76 and in women it was 0.72, and for WC, the AUC in men was 0.72 and in women it was 0.71. CONCLUSION: It was shown that TMI is the indicator that presented the greatest association with %FM and estimates body fat levels with greater precision than BMI, WC and WHtR. The results suggest its use and application as an indicator that discriminates obesity in young, middle and late-aged adults.