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INTRODUCTION: Falls in older adults are a common and serious threat to health and functional independence. It can cause psychological distress, inability to participate in activities of daily living, brain injury, fractures, and even death. The aim was to analyze the psychometric properties of the self-assessed fall risk scale (FRS) that measures the risk of falls in older adults in a central region of Chile, as well as to verify the concurrent validity against functional fitness tests. MATERIALS AND METHODS: A descriptive cross-sectional study was carried out in 222 older adults (OA) [34 males and 188 females] with an age range of 65 to 85 years. The 13-item self-perceived fall risk scale (FRS) was validated. Anthropometric measures (weight, height and waist circumference) were assessed. Five functional fitness tests were measured (right and left hand grip strength, biceps curl, up-and-go, agility and 6-minute walk test). Validation was performed by construct validation [(exploratory factor analysis (EFA) and confirmatory factor analysis (CFA)] and concurrent validity. RESULTS: The EFA revealed 4 factors in the FRS scale [1: fear of falling (variance 27.1%), 2: use of assistive devices (variance 10.6%), 3: loss of sensation (variance 9.3%), and 4: limited mobility (variance 8.3%)]. Factor loadings ranged from ∼ 0.50 to 0.83 across the 4 components. The Kaiser-Meyer Olkin sample adequacy test (KMO) reflected adequate adequacy (KMO = 0.79, chi-square (X2) = 498.806, gl = 78, p = 0.00). The CFA showed a satisfactory final fit [chi-square (X2) = 126.748, Root mean squared error of approximation (RMSEA) = 0.042, Tucker-Lewis Index (TLI) = 0.946, Comparative fit index (CFI) = 0.935 y Normed fit index (NFI) = 0.90. The relationships between the FRS scale and functional fitness tests (right and left hand grip strength, biceps curl, up-and-go, agility and 6-minute walk test) ranged from low to moderate (r= -0.23 to 0.41). CONCLUSION: The FRS scale showed acceptable validity and reliability in older adults in central region of Chile. It is expected that this scale will be useful for assessing fall risk in clinical and epidemiological settings in the aging Chilean population.

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Abstract Objectives: The objective of the study was to verify whether (FFM), maturity status (MS) and chronological age (CA) are determinants of physical fitness performance, and to analyze FFM and physical performance aligned by CA and MS in children and adolescents. Methods: A descriptive correlational study was carried out in 863 schoolchildren. Weight, height, and waist circumference (WC) were evaluated. Body mass index (BMI), FFM, fat mass (FM), MS (Age at peak height velocity, APHV) were calculated. The physical tests of velocity 20 m, agility 5 m × 10rep, and horizontal jump (HJ) were evaluated. Results: The APHV was estimated in boys at 14.0 ± 0.36APHV and in girls at 11.96 ± 0.49APHV. The relationships between CA and APHV with FFM was r = 0.80 in boys and r = 0.44 to 0.45 in girls. The relationships between FFM and physical tests in boys were [HJ (r = 0.70), agility 5m × 10rep (r = -0.68), velocity (r = -0.61)] and in girls [HJ (r = 0.42), agility 5m × 10rep (r = -0.52), velocity (r = -0.20)]. The differences in FFM and physical fitness tests were more pronounced when aligned by APHV than by CA. Conclusion: It was verified that both FFM, CA, and APHV are determinants of physical fitness performance. In addition, the APHV should be introduced in physical education as a means of ranking physical performance among schoolchildren.

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OBJECTIVES: The objective of the study was to verify whether (FFM), maturity status (MS) and chronological age (CA) are determinants of physical fitness performance, and to analyze FFM and physical performance aligned by CA and MS in children and adolescents. METHODS: A descriptive correlational study was carried out in 863 schoolchildren. Weight, height, and waist circumference (WC) were evaluated. Body mass index (BMI), FFM, fat mass (FM), MS (Age at peak height velocity, APHV) were calculated. The physical tests of velocity 20 m, agility 5 m x 10rep, and horizontal jump (HJ) were evaluated. RESULTS: The APHV was estimated in boys at 14.0 ± 0.36APHV and in girls at 11.96 ± 0.49APHV. The relationships between CA and APHV with FFM was r = 0.80 in boys and r = 0.44 to 0.45 in girls. The relationships between FFM and physical tests in boys were [HJ (r = 0.70), agility 5m x 10rep (r = -0.68), velocity (r = -0.61)] and in girls [HJ (r = 0.42), agility 5m x 10rep (r = -0.52), velocity (r = -0.20)]. The differences in FFM and physical fitness tests were more pronounced when aligned by APHV than by CA. CONCLUSION: It was verified that both FFM, CA, and APHV are determinants of physical fitness performance. In addition, the APHV should be introduced in physical education as a means of ranking physical performance among schoolchildren.

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Introduction: Introduction: studying the percentage of body fat (%BF) in children and adolescents is very relevant, since a high level of body fat in childhood and adolescence represents overweight and obesity. Objective: to identify the anthropometric indicators related to %BF and to validate regression equations to predict %BF in children and adolescents using dual-energy X-ray absorptiometry (DXA) as a reference method. Methods: a descriptive study (cross-sectional) was designed in 1126 schoolchildren (588 males and 538 females) from the Maule region (Chile). The age range ranged from 6.0 to 17.9 years. Weight, height, two skinfolds (tricipital and subscapular and waist circumference (WC) were evaluated. Body mass index (BMI), triponderal mass index (TMI), waist height index (WHtR) were calculated. Body fat percentage (%BF) was assessed by DXA scanning. Results: the relationships between Σ (Tricipital + Subscapular), TMI and WHtR with %BF (DXA) ranged from R2 = 52 % to 54 % in men, and from R2 = 41 % to 49 % in women. The equations generated for men were: %BF = 9.775 + [(0.415 * (Tr + SE)] + (35.084 * WHtR) - (0.828 * age), R2 = 70 %, and %BF = 20.720 + [(0.492 * (Tr + SE)] + (0.354 * TMI) - (0.923 * age), R2 = 68 %], and for women: %BF = 8.608 + [(0.291 * (Tr + SE)] + (38.893 * WHtR) - (0.176 * age), R2 = 60 %, and %BF = 16.087 + [(0.306 * (Tr + SE)] + (0.818 * TMI) - (0.300 * age), R2 = 59 %. Conclusion: this study showed that the sum of tricipital and subscapular skinfolds, IP and WHtR are adequate predictors of %BF. These indicators allowed the development of two regression equations acceptable in terms of precision and accuracy to predict %BF in children and adolescents of both sexes.

Introducción: Introducción: estudiar el porcentaje de grasa corporal (%GC) en niños y adolescentes es muy relevante, puesto que un elevado nivel de grasa corporal en la infancia y la adolescencia representa sobrepeso y obesidad. Objetivo: identificar los indicadores antropométricos que se relacionan con el %GC y validar ecuaciones de regresión para predecir el %GC de niños y adolescentes a partir del uso de la absorciometría de rayos X de doble energía (DXA) como método de referencia. Métodos: se diseñó un estudio descriptivo (transversal) en 1126 escolares (588 hombres y 538 mujeres) de la región del Maule (Chile). El rango de edad oscila desde los 6,0 hasta los 17,9 años. Se evaluaron el peso, la estatura, dos pliegues cutáneos (tricipital y subescapular) y la circunferencia de la cintura (CC). Se calcularon el índice de masa corporal (IMC), el índice ponderal (IP) y el índice cintura-estatura (ICE). Se evaluó el porcentaje de grasa corporal (%GC) por medio del escaneo DXA. Resultados: las relaciones entre Σ (Tricipital + Subescapular), IP e ICE con el %GC (DXA) fueron de R2 = 52-54 % en hombres y R2 = 41-49 % en mujeres. Las ecuaciones generadas para los hombres fueron: %GC = 9,775 + [(0,415 * (Tr + SE)] + (35,084 * ICE) - (0,828 * edad), R2 = 70 %, y %GC = 20,720 + [(0,492 * (Tr + SE)] + (0,354 * IP) - (0,923 * edad), R2 = 68 %; y para mujeres: %GC = 8,608 + [(0,291 * (Tr + SE)] + (38,893 * ICE) - (0,176 * edad), R2 = 60 %, y %GC = 16,087 + [(0,306 * (Tr + SE)] + (0,818 * IP) - (0,300 * edad), R2 = 59 %. Conclusión: este estudio demostró que la sumatoria de los pliegues cutáneos tricipital y subescapular, el IP y el ICE son adecuados predictores del %GC. Estos indicadores permitieron desarrollar dos ecuaciones de regresión aceptables en términos de precisión y exactitud para predecir el %GC en niños y adolescentes de ambos sexos.

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Objective: Knowledge of the biological parameters of pubertal growth spurt allows verification of secular changes and exploration of the timing of puberty. The aim of the study was to estimate final height, age at peak height velocity (APHV), and peak height velocity PHV (cm/y) in children and adolescents living at moderate altitude in Colombia. Methods: A cross-sectional study was designed in 2.295 schoolchildren from Bogotá (Colombia) with an age range from 5.0 to 18.9 years. Height (cm) was assessed. Preece-Baines model 1 (1PB) was used to make inferences about mathematical and biological parameters. Results: The five mathematical parameters estimated in general have reflected quality in the fit to the model, reflecting a small residual error. Final height was reached in boys at 170.8 ± 0.4 cm and in girls at 157.9 ± 0.2 cm. APHV was estimated at 12.71 ± 0.1 years in boys and 10.4 ± 0.2 years in girls. Girls reached APHV 2.2 years earlier than boys. In relation to PHV (cm/y), boys reached higher growth speed in height (7.4 ± 0.4 cm/y), and in girls it was (7.0 ± 0.2 cm/y). Conclusion: It was determined that final height was reached at 170.8 ± 0.4 cm in boys and 157.9 ± 0.2 cm in girls, and APHV (years) and PHV (cm/ye) were reached relatively early and with average peak velocity similar to Asian and Western populations. A large-scale longitudinal study is needed to confirm these findings.

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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.

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ABSTRACT Objective: To analyze whether fat mass (FM) and fat-free mass (FFM) should be evaluated by chronological age and/or biological age and propose curves to classify the body composition of young Chilean soccer players. Methods: A cross-sectional descriptive study was developed. Six hundred and forty-two soccer players between 13.0 and 18.9 years of age were recruited. Body mass, height, trunk-cephalic height, and tricipital and subscapular skinfolds were evaluated. Biological maturation was determined using peak height velocity age (PHV) and the percentage of fat mass was estimated by regression equations. The reference percentiles were calculated using the LMS method. Results: The values of R2 were lower for chronological age (FM = 0.07% and FFM = 0.13%) than for biological age (FM = 0.31% and FFM = 0.50%). Eleven percentiles (p3, p5, p10, p15, p25, p50, p75, p85, p90, p95 and p97) were calculated for FFM and FM. Conclusion: Biological age (PHV) is a better predictor of FFM and FM than chronological age. The references proposed can be used to monitor the body composition of young Chilean soccer players. Level of Evidence II; Diagnostic Study .

Resumen Objetivo: Analizar si la masa grasa (MG) y la masa libre de grasa (MLG) deben ser evaluadas por la edad cronológica y/o por la edad biológica, y proponer curvas para clasificar la composición corporal de jóvenes futbolistas chilenos. Métodos: Se elaboró un estudio descriptivo transversal. Fueron reclutados 642 futbolistas entre 13,0 y 18,9 años. Fueron medidas masa corporal, estatura, altura tronco-cefálica, pliegues cutáneos tricipital y subescapular. La madurez biológica fue determinada por la edad de pico de velocidad de crecimiento (EPVC) y el porcentual de masa grasa fue estimado por ecuaciones de regresión. Los percentiles de referencia fueron calculados por el método LMS. Resultados: Los valores de R2 para edad cronológica fueron menores (MG=0,07% y MLG=0,13%) en comparación con los valores para la edad biológica (MG=0,31% y MLG=0,50%). Fueron calculados 11 percentiles (p3, p5, p10, p15, p25, p50, p75, p85, p90, p95 y p97) para la MLG y MG. Conclusión: La edad biológica (EPVC) es un predictor mejor de la MLG y de la MG que la edad cronológica. Las referencias propuestas pueden servir para monitorizar la composición corporal de jóvenes futbolistas chilenos. Nivel de evidencia II; Estudio de diagnóstico .

RESUMO Objetivo: Analisar se a massa gorda (MG) e a massa livre de gordura (MLG) devem ser avaliadas pela idade cronológica e/ou pela idade biológica, e propor curvas para classificar a composição corporal de jovens futebolistas chilenos. Métodos: Elaborou-se um estudo descritivo transversal. Foram recrutados 642 futebolistas entre 13,0 e 18,9 anos. Massa corporal, estatura, altura tronco-cefálica, dobras cutâneas tricipital e subescapular foram medidas. A maturação biológica foi determinada pela idade de pico de velocidade de crescimento (IPVC) e o percentual de massa gorda foi estimado por equações de regressão. Os percentis de referência foram calculados pelo método LMS. Resultados: Os valores de R2para idade cronológica foram menores (MG = 0,07% e MLG=0,13%) em comparação com os valores para a idade biológica (MG = 0,31% e MLG = 0,50%). Foram calculados 11 percentis (p3, p5, p10, p15, p25, p50, p75, p85, p90, p95 e p97) para a MLG e MG. Conclusão: A idade biológica (IPVC) é um preditor melhor da MLG e da MG do que a idade cronológica. As referências propostas podem servir para monitorar a composição corporal de jovens futebolistas chilenos. Nível de evidência II; Estudo de diagnóstico .

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INTRODUCTION: 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.

INTRODUCCIÓN: 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.

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(1) Background: Spirometry is useful for diagnosing and monitoring many respiratory diseases. The objectives were: (a) compare maximum expiratory flow (MEF) values with those from international studies, (b) determine if MEF should be evaluated by chronological age and/or maturity, (c) develop reference norms for children, and adolescents. (2) Methods: A cross-sectional study was designed with 3900 subjects ages 6.0 and 17.9 years old. Weight, standing height, sitting height, and MEF were measured. Length of the lower limbs, body mass index (BMI), and age of peak height velocity growth (APHV) were calculated. (3) Results: Values for the curves (p50) for females of all ages from Spain and Italy were higher (92 to 382 (L/min)) than those for females from Arequipa (Peru). Curve values for males from Spain and Italy were greater [70 to 125 (L/min)] than the males studied. MEF values were similar to those of Chilean students ages 6 to 11. However, from 12 to 17 years old, values were lower in males (25 to 55 (L/min)) and in females (23.5 to 90 (L/min)). Correlations between chronological age and MEF in males were from (r = 0.68, R2 = 0.39) and in females from (r = 0.46, R2 = 0.21). Correlations between maturity (APHV) and MEF for males were from (r = 0.66, R2 = 0.44) and for females (r = 0.51, R2 = 0.26). Percentiles were calculated for chronological age and APHV. Conclusion: Differences occurred in MEF when compared with other geographical regions of the world. We determined that maturity may be a more effective indicator for analyzing MEF. Reference values were generated using chronological age and maturity.

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Objectives: Anthropometric variables are used to evaluate health, dietary status, disease risks, and changes in body composition. The purpose of this study was to compare weight, height, and Body Mass Index (BMI) with American references from the National Center for Health Statistics (NCHS-2012), using BMI and Tri-Ponderal Mass Index (TMI) to propose percentiles for evaluating nutritional status of children, adolescents, and adults, ages 5-80 years old. Methods: A descriptive cross-sectional study was conducted in 15,436 (8,070 males and 7,366 females) children, youths and adults in the Maule region (Chile). The age range ranged from 5.0 to ~80 years of age. Weight and height were assessed. Body mass index BMI and tri-ponderal mass index (TMI) were calculated. The LMS method was used to generate percentiles. Results: The results illustrated that children were heavier and had more BMI during childhood compared to the NCHS references. During adolescence, reference values were greater until approximately ages 70-79. For height, children were relatively similar to those of the NCHS references, but during adolescence, differences became evident. Adolescence until approximately age 80, the population showed lower values for height. Percentiles were calculated using BMI and TMI by age range and sex. Differences occurred between the American NCHS references and the population with regard to the anthropometric variables of weight, height, and in BMI. Conclusion: Discrepancies with the American NCHS reference were verified in the anthropometric variables of weight, height and BMI. Reference percentiles of BMI and TMI were developed for the evaluation of the nutritional status of the regional population of Maule (Chile). Its use is suggested in clinical and epidemiological contexts.