Age of pubertal height growth spurt in children and adolescents from Huila, Colombia
Edad del estirón puberal en altura en niños, niñas y adolescentes de Huila, Colombia
DOI:
https://doi.org/10.15446/revfacmed.v71n4.102130Palabras clave:
Body Height, Growth and Development, Adolescent development, Growth charts (en)Altura corporal, Crecimiento y desarrollo, Desarrollo del adolescente, Gráficos de crecimiento (es)
Descargas
Introduction: It has been reported that the height of children and adolescents (2-18 years) from Huila-Colombia is below the international reference values described by the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO). However, information regarding the biological parameters of height growth spurt during puberty in this population is still limited.
Objectives: To identify the age at minimal pre-spurt height velocity (AMHV), age at peak height velocity (APHV), and age at minimal pre-spurt height velocity return (AMHVR) in the population of Huila, Colombia, and to construct height velocity curves.
Materials and methods: Cross-sectional analytical study conducted with data from 130 599 children and adolescents (males: n=65 467, females: n=65 132) registered between 2009 to 2016 in the Identification System of Potential Beneficiaries of Social Programs. Height growth velocity was calculated using the LMS method, and height growth velocity curves for each sex were created in the LMSchartmaker software. AMHV, APHV and AMHVR were compared with reference data reported by the CDC and the WHO.
Results: AMHV, APHV and AMHVR occurs at the ages of 10, 12.9 and 15.1, respectively, in boys, and at the ages of 8.5, 10.5 and 12.6, respectively, in girls. Peak height velocity (PHV) was 7.1 and 6.6 cm/year, respectively.
Conclusions: AMHV, AMHVR and APHV occurred first in girls than in boys. There was a marked difference in height growth patterns between sexes, and APHV was relatively early (in both sexes) compared to the reference values reported by the CDC and WHO.
Introducción. Se ha reportado que la altura de los niños y adolescentes (2-18 años) del departamento del Huila (Colombia) está por debajo de las referencias internacionales descritas por el Centro para el Control y la Prevención de Enfermedades (CDC) y la Organización Mundial de la Salud (OMS). Sin embargo, la información relativa a los parámetros biológicos del estirón puberal en la altura sigue siendo limitada en esta población.
Objetivos. Identificar la edad en la velocidad mínima de crecimiento en altura pre-estirón (AMHV), la edad en la velocidad máxima de crecimiento en altura (APHV) y la edad en el retorno a la velocidad mínima de crecimiento en altura pre-estirón (AMHVR) en población del Huila, y construir curvas de velocidad de crecimiento en altura.
Materiales y métodos. Estudio analítico transversal realizado con datos de 130 599 niños, niñas y adolescentes (varones, n=65 467, mujeres, n=65 132) registrados entre 2009 y 2016 en el Sistema de Identificación de Potenciales Beneficiarios de los Programas Sociales. La velocidad de crecimiento en altura se calculó utilizando el método LMS y las curvas de velocidad de crecimiento en altura para cada sexo se crearon en el programa LMS Chart Maker. La AMHV, la APHV y la AMHVR se compararon con los datos de referencia del CDC y la OMS.
Resultados. La AMHV ocurre a los 10 y 8.5 años en niños y niñas, respectivamente; la APHV, a los 12.9 y 10.5 años; la AMHVR, a los 15.1 y 12.6 años, y el pico de velocidad de crecimiento en altura (PHV) fue de 7.1cm/año y 6.6cm/año.
Conclusiones. La AMHV, la AMHVR y la APHV ocurrieron primero en las niñas que en los niños; hubo una marcada diferencia en los patrones de crecimiento en altura entre sexos, y la APHV fue relativamente temprana (en ambos sexos) en comparación con los valores de referencia reportados por el CDC y la OMS.
Original research
Age of pubertal height growth spurt in children and adolescents from Huila, Colombia
Edad del estirón puberal en altura en niños, niñas y adolescentes de Huila, Colombia
José David López-Laiseca1 Luís Miguel Massuça1,2,3
1 Universidade Lusófona - Faculty of Physical Education and Sports - Lisbon - Portugal.
² Universidade Lusófona - Center for Research in Sports, Physical Education, Exercise and Health (CIDEFES) - Lisbon - Portugal.
³ Instituto Superior de Ciências Policiais e Segurança Interna (ICPOL) - Lisbon - Portugal.
Open access
Received: 14/04/2022
Accepted: 22/02/2023
Corresponding author: José David López-Laiseca. Faculdade de Educação Física e Desporto, Universidade Lusófona. Lisboa. Portugal. Email: josedavidlpez01@yahoo.es.
Keywords: Body Height; Growth and Development; Adolescent Development; Growth charts (MeSH).
Palabras clave: Altura corporal; Crecimiento y desarrollo; Desarrollo del adolescente; Gráficos de crecimiento (DeCS).
How to cite: López-Laiseca JD, Massuça LM. Age of pubertal height growth spurt in children and adolescents from Huila, Colombia. Rev. Fac. Med. 2023;71(4):e102130. English. doi: https://doi.org/10.15446/revfacmed.v71n4.102130.
Cómo citar: López-Laiseca JD, Massuça LM. [Edad del estirón puberal en altura en niños, niñas y adolescentes de Huila, Colombia]. Rev. Fac. Med. 2023;71(4):e102130. English. doi: https://doi.org/10.15446/revfacmed.v71n4.102130.
Copyright: Copyright: ©2023 Universidad Nacional de Colombia. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, as long as the original author and source are credited.
Abstract
Introduction: It has been reported that the height of children and adolescents (2-18 years) from Huila-Colombia is below the international reference values described by the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO). However, information regarding the biological parameters of height growth spurt during puberty in this population is still limited.
Objectives: To identify the age at minimal pre-spurt height velocity (AMHV), age at peak height velocity (APHV), and age at minimal pre-spurt height velocity return (AMHVR) in the population of Huila, Colombia, and to construct height velocity curves.
Materials and methods: Cross-sectional analytical study conducted with data from 130 599 children and adolescents (males: n=65 467, females: n=65 132) registered between 2009 to 2016 in the Identification System of Potential Beneficiaries of Social Programs. Height growth velocity was calculated using the LMS method, and height growth velocity curves for each sex were created in the LMSchartmaker software. AMHV, APHV and AMHVR were compared with reference data reported by the CDC and the WHO.
Results: AMHV, APHV and AMHVR occurs at the ages of 10, 12.9 and 15.1, respectively, in boys, and at the ages of 8.5, 10.5 and 12.6, respectively, in girls. Peak height velocity (PHV) was 7.1 and 6.6 cm/year, respectively.
Conclusions: AMHV, AMHVR and APHV occurred first in girls than in boys. There was a marked difference in height growth patterns between sexes, and APHV was relatively early (in both sexes) compared to the reference values reported by the CDC and WHO.
Resumen
Introducción. Se ha reportado que la altura de los niños y adolescentes (2-18 años) del departamento del Huila (Colombia) está por debajo de las referencias internacionales descritas por el Centro para el Control y la Prevención de Enfermedades (CDC) y la Organización Mundial de la Salud (OMS). Sin embargo, la información relativa a los parámetros biológicos del estirón puberal en la altura sigue siendo limitada en esta población.
Objetivos. Identificar la edad en la velocidad mínima de crecimiento en altura pre-estirón (AMHV), la edad en la velocidad máxima de crecimiento en altura (APHV) y la edad en el retorno a la velocidad mínima de crecimiento en altura pre-estirón (AMHVR) en población del Huila, y construir curvas de velocidad de crecimiento en altura.
Materiales y métodos. Estudio analítico transversal realizado con datos de 130 599 niños, niñas y adolescentes (varones, n=65 467, mujeres, n=65 132) registrados entre 2009 y 2016 en el Sistema de Identificación de Potenciales Beneficiarios de los Programas Sociales. La velocidad de crecimiento en altura se calculó utilizando el método LMS y las curvas de velocidad de crecimiento en altura para cada sexo se crearon en el programa LMS Chart Maker. La AMHV, la APHV y la AMHVR se compararon con los datos de referencia del CDC y la OMS.
Resultados. La AMHV ocurre a los 10 y 8.5 años en niños y niñas, respectivamente; la APHV, a los 12.9 y 10.5 años; la AMHVR, a los 15.1 y 12.6 años, y el pico de velocidad de crecimiento en altura (PHV) fue de 7.1cm/año y 6.6cm/año.
Conclusiones. La AMHV, la AMHVR y la APHV ocurrieron primero en las niñas que en los niños; hubo una marcada diferencia en los patrones de crecimiento en altura entre sexos, y la APHV fue relativamente temprana (en ambos sexos) en comparación con los valores de referencia reportados por el CDC y la OMS.
Introduction
Puberty is a stage during which substantial physical, biological, and psychological changes occur,1 so height growth patterns in this period are a key focus of adolescent health.2 Secular changes in the height of populations in different countries have been reported since the 1960s;3,4 however, this phenomenon has slowed or even stopped in many countries, so current studies on the growth and development of children and adolescents can serve as important tools in the clinical evaluation of this population.5,6
One of the hallmarks of puberty is the occurrence of a period of accelerated growth. In this regard, it has been observed that age at peak height velocity (APHV) provides an objective measure to determine the time at which puberty occurs.1 Therefore, it should be noted that the annual increases in which height velocity (HV) values rise sharply are key aspects to study the maturation status of children and adolescents and determine the onset of puberty.7 In fact, growth descriptions incorporating age at minimal pre-spurt height velocity (AMHV) and APHV have been increasingly used to study the growth spurt interval, which occurs approximately between the ages of 12 and 15 years,8-11 and are particularly valuable to clinicians as references for expected growth.12
While international references such as those of the Centers for Disease Control and Prevention (CDC)13 and the World Health Organization (WHO)14,15 are useful for comparing growth between regions or countries, they may not be appropriate for clinical assessment of growth in populations of certain countries.16-21 For this reason, it is necessary to conduct local studies on growth patterns to establish reference values that more accurately describe the physical development of children and adolescents in a given context.
In Colombia, some studies have been carried out on this subject. For example, in 2021, López-Laiseca & Massuça22 conducted a systematic literature review (18 articles) that aimed to identify and summarize original research studies on basic body dimensions in children and adolescents aged 2 to 18 years, with emphasis on the Colombian population. Likewise, in 2023, these same authors published a study in which they established percentile growth references for height, weight and body mass index of children and adolescents between 2 and 18 years of age in the department of Huila (n=130 599), demonstrating that the height of this population is below the international references described by the CDC and WHO.23
In view of the above, authors such as Yoshii & Tanaka24 point out that standard growth charts are essential for evaluating an individual’s growth. However, the growth patterns underlying these observations remain limited as they have not been fully described, so their clinical significance is still unclear. Thus, it seems appropriate to respond to the needs of researchers and local physicians in Colombia by presenting a detailed description of the biological parameters of growth spurts during puberty in terms of height or stature (AMHV, APHV, and age at minimal pre-spurt height velocity return [AMHVR]), which would facilitate (and expand) the direct comparison of height growth in children and adolescents in the department of Huila with the CDC13 and WHO references.14,15
Considering the foregoing, the objectives of the present study were to identify AMHV, APHV and AMHVR in the population of Huila, and to construct height velocity curves.
Materials and methods
Study type
Cross-sectional analytical study.
Data analyzed
The calculation of HV and the plotting of its curves were based on data collected from a total of 130 599 children and adolescents between 2 and 18 years of age (males: n=65 467; females: n=65 132) users of public health institutions in the 37 municipalities of the department of Huila. This sample consists of children and adolescents from rural and urban areas and from low- and middle-income households registered between 2009 and 2016 in the Identification System of Potential Beneficiaries of Social Programs. Data were provided by the Ministry of Health of the Department of Huila as reported in the letter of authorization to use the data under file No. 2017sal00002074-1 dated February 22, 2017. The distribution of participants by age group and sex is presented in Table 1.
Table 1. Distribution of the sample by age and sex.
Age (years) |
Sex |
Total |
|
Male |
Female |
||
2.0 |
94 |
80 |
174 |
2.5 |
58 |
56 |
114 |
3.0 |
53 |
74 |
127 |
3.5 |
64 |
66 |
130 |
4.0 |
58 |
66 |
124 |
4.5 |
59 |
57 |
116 |
5.0 |
4 656 |
4 527 |
9 183 |
5.5 |
9 740 |
9 394 |
19 134 |
6.0 |
9 635 |
9 137 |
18 772 |
6.5 |
8 961 |
8 421 |
17 382 |
7.0 |
8 234 |
7 777 |
16 011 |
7.5 |
4 096 |
4 154 |
8 250 |
8.0 |
4 752 |
4 755 |
9 507 |
8.5 |
3 502 |
3 373 |
6 875 |
9.0 |
3 978 |
3 823 |
7 801 |
9.5 |
2 582 |
2 624 |
5 206 |
10.0 |
1 538 |
1 432 |
2 970 |
10.5 |
529 |
544 |
1 073 |
11.0 |
356 |
407 |
763 |
11.5 |
222 |
306 |
528 |
12.0 |
186 |
284 |
470 |
12.5 |
160 |
259 |
419 |
13.0 |
191 |
239 |
430 |
13.5 |
116 |
239 |
355 |
14.0 |
241 |
412 |
653 |
14.5 |
330 |
481 |
811 |
15.0 |
191 |
340 |
531 |
15.5 |
132 |
312 |
444 |
16.0 |
157 |
282 |
439 |
16.5 |
129 |
266 |
395 |
17.0 |
180 |
350 |
530 |
17.5 |
199 |
375 |
574 |
18.0 |
88 |
220 |
308 |
Total |
65 467 |
65 132 |
130 599 |
Source: Own elaboration.
Geographic distribution of the population
The department of Huila is located in southern Colombia and comprises 37 municipalities grouped into 4 regions: center, north, west, and south (Figure 1). Huila is characterized by its diverse climates and the temperature varies depending on altitude. According to the 2005 census conducted by the National Administrative Department of Statistics (DANE by its acronym in Spanish),25 the census population in Huila was 1 001 476 inhabitants (adjusted population as of June 30, 2005, 1 011 418 inhabitants), of which 600 801 lived in the municipal seats and 400 675 in the rest of the territory. Ethnically, the population is divided into mestizos (97.8%), Afro-descendants (1.2%), and indigenous people (1.0%).
![](https://revistas.unal.edu.co/index.php/revfacmed/article/download/102130/version/84435/91866/682794/Fig_1.png)
Figure 1. Geographic characterization of the department of Huila, Colombia.
Source: Own elaboration.
Age at peak height velocity
HV was defined as the difference between heights at two age points, one year apart, and peak height velocity (PHV) as the maximum HV value. APHV was determined by calculating the difference between PHV and HV during the year before/after PHV age using the formula x-[y2/(y1+y2)], where x, y1 and y2 are defined as the age at PHV, the absolute value of the difference between PHV and HV one year before the age at PHV, and the absolute value of the difference between PHV and HV one year after the age at PHV, respectively24 (Figure 2).
![](https://revistas.unal.edu.co/index.php/revfacmed/article/download/102130/version/84435/91866/682795/Fig_2.png)
Figure 2. Method for estimating age at peak height velocity.
Note: The solid line represents the assumed height growth velocity curve.
Source: Own elaboration.
Growth spurt
After estimating the APHV, the following parameters were calculated and/or determined: (i) AMHV, defined as the age at the beginning of the growth spurt; (ii) AMHVR, defined as the age at which the end of the growth spurt occurs and represents a measure of its duration; (iii) height at 4 years of age (H4); (iv) height at minimal pre-spurt height velocity (HMHV); (v) height at peak height velocity (HPHV); (vi) height at minimal pre-spurt height velocity return (HMHVR), defined as height at the end of the growth spurt; (vii) height at 18 years of age (H18); (viii) prepubertal height velocity at age 4-6 (PV), defined as the average annual increase between the ages of 4 and 6 years.; (ix) minimal pre-spurt height velocity (MHV), which represents the beginning of accelerated growth; (x) PHV; (xi) peak height (PH), which is defined as the increase in height growth velocity during the growth spurt and is determined by the formula PHV-MHV; (xii) peak basis (PB), which is calculated using the formula AMHVR-AMHV and is a measure of the duration of the spurt; and (xiii) peak area (PAR), which is estimated with the formula PHxPB and is a measure of the intensity of the growth spurt.26 Furthermore, the age at which the last increase in height growth occurred was determined.26 Figure 3 presents the parameters considered in the height growth increment analysis.
![](https://revistas.unal.edu.co/index.php/revfacmed/article/download/102130/version/84435/91866/682797/Fig_3.png)
Figure 3. Parameters considered in the analysis of growth spurt.
AMHV: age at minimal pre-spurt height velocity (years); AMHVR: age at minimal pre-spurt height velocity return (years); APHV: age at peak height velocity (years); H4: height at 4 years of age (cm); HMHV: height at minimal pre-spurt height velocity (cm); HMHVR: age at minimal pre-spurt height velocity return (cm); HPHV: height at peak height velocity (cm); MHV: minimal pre-spurt height velocity (cm/year); MHVR: minimal pre-spurt height velocity return (cm/ year); PAR: peak area (cm2); PB: peak basis (years); PH: peak height (cm/year); PHV: peak height velocity (cm/year); PV: prepubertal height velocity at age 4-6 (cm/year).
Source: Own elaboration.
Statistical analysis
HV was calculated using the least median of squares (LMS) method. In addition, Box-Cox transformations were used to fit the data to a normal distribution.27 L, M, and S values were smoothed for each age and sex range.28 Sex-specific HV reference ranges were constructed using the LMS method and LMSchartmaker Pro version 2.54 (Medical Research Council, London, UK)29 with three curves representing skewness (L-curve), median (M-curve), and coefficient of variation (S-curve).
The distance curves for height and HV were constructed based on the work of López-Laiseca & Massuça23 and Yoshii & Tanaka.24 The following parameters were considered in the analysis of HV curves: AMHV, APHV, AMHVR, H4, HMHV, HPHV, HMHVR, H18, PV, MHV, PHV, PH, PH, PB, and PAR (Figure 3 and Table 2).26 In addition, the AMHV, APHV and AMHVR parameters were compared with CDC13 and WHO reference data,14,15 and the age at which the last increase in height growth occurred was determined.
Ethical considerations
The study followed the ethical principles for biomedical research involving human subjects established in the Declaration of Helsinki30 and the scientific, technical and administrative standards for health research of Resolution 8430 of 1993 issued by the Colombian Ministry of Health.31 Furthermore, it was approved by the Research Ethics Committee of the Caribbean Foundation for Biomedical Research BIOS by means of minutes No. 0127 of July 31, 2015.
Results
Of the 130 599 children and adolescents, 50.13% were boys and the following observations were made. In boys, HV started at age 10 (AMHV) and ended at age 15.1 (AMHVR), the maximum height growth velocity occurred at age 12.9 (APHV; PHV=7.1cm/year), and the last increase in height occurred at age 17.5. In girls, the age of growth spurt onset was 8.5 years (AMHV) and ended at 12.6 years (AMHVR), the maximum height growth velocity occurred at 10.5 years (APHV; PHV=6.6cm/year), and the last increase in height occurred at 16.9 years.
The height growth patterns of boys and girls reveal that: (i) AMHV in girls occurred 1.5 years earlier than in boys; (ii) APHV in girls occurred 2.4 years earlier than in boys (PHV=6.6cm/year); (iii) AMHVR in girls was 2.5 years earlier than in boys (15.1 years); (iv) PB was 0.9 years longer in boys than in girls (2.9 years and 2.0 years, respectively); and (v) PH was higher in boys (+1.1cm/year; boys: 2.3cm/year, girls: 1.2cm/year).
The height spurt increment parameters are summarized in Table 2.
Reference values for height and HV curves aligned according to the distance from APHV are presented in Table 3 and Figure 4, respectively.
Table 2. Height growth spurt parameters of children and adolescents in Huila, Colombia.
Parameters |
Definition |
Boys |
Girls |
|
Age (years) |
AMHV |
… of age at minimal pre-spurt height velocity |
10.0 |
8.5 |
APHV |
… of age at peak height velocity |
12.9 |
10.5 |
|
AMHVR |
… age at minimal pre-spurt height velocity return |
15.1 |
12.6 |
|
Height (cm) |
H4 |
… height at 4 years of age |
101.4 |
102.9 |
HMHV |
… in height at minimal pre-spurt height velocity |
134.0 |
127.7 |
|
HPHV |
… in height at peak height velocity |
151.0 |
140.1 |
|
HMHVR |
… in age at minimal pre-spurt height velocity return |
164.6 |
151.9 |
|
H18 |
… at 18 years of age |
168.6 |
157.5 |
|
Velocity (cm/year) |
PV |
… of prepubertal height velocity at age 4-6 |
6.1 |
5.8 |
MHV |
… of minimal pre-spurt height velocity |
4.8 |
5.4 |
|
PHV |
... peak height velocity |
7.1 |
6.6 |
|
PH |
… of growth in height during growth spurt (increase) |
2.3 |
1.2 |
|
PB (years) |
Peak basis of growth in height (AMHVR-AMHV) |
5.1 |
4.1 |
|
PAR (cm2) |
Area of peak height growth (PHxPB) |
11.7 |
4.9 |
Source: Own elaboration.
Table 3. Reference values for height (cm) of children and adolescents in Huila, Colombia, according to the distance from age at peak height velocity.
Distance from age at peak height velocity (years) |
Boys |
Girls |
||||||
n |
L |
M (P50) |
S |
n |
L |
M (P50) |
S |
|
-5 |
4 752 |
3.0 |
124.3 |
0.1 |
9 394 |
2.4 |
111.9 |
0.1 |
-4 |
3 978 |
3.0 |
129.2 |
0.1 |
8 421 |
2.7 |
117.0 |
0.1 |
-3 |
1 538 |
2.9 |
134.0 |
0.1 |
4 154 |
2.8 |
122.2 |
0.1 |
-2 |
356 |
3.0 |
139.1 |
0.1 |
3 373 |
3.0 |
127.7 |
0.1 |
-1 |
186 |
3.0 |
145.4 |
0.1 |
2 624 |
3.1 |
133.5 |
0.1 |
0 |
191 |
3.0 |
152.5 |
0.1 |
544 |
3.2 |
140.1 |
0.1 |
1 |
241 |
3.1 |
159.1 |
0.1 |
306 |
3.2 |
146.7 |
0.1 |
2 |
191 |
3.1 |
164.0 |
0.1 |
259 |
3.2 |
151.9 |
0.1 |
3 |
157 |
3.2 |
167.1 |
0.1 |
239 |
3.2 |
155.2 |
0.1 |
4 |
180 |
3.2 |
168.4 |
0.0 |
481 |
3.2 |
156.7 |
0.0 |
5 |
88 |
3.3 |
168.6 |
0.0 |
312 |
3.2 |
157.5 |
0.0 |
L: skewness; M: median; S: coefficient of variation; P50: 50th percentile.
Source: Own elaboration.
The height growth curve shows that, in the 50th percentile, the height of girls increased before that of boys (Figure 5). Likewise, it can be observed that girls entered the growth spurt earlier and have a higher height growth rate than boys in the same period, with their height being higher than that of boys from the age of 8.5 years (first point of intersection). However, as boys began to enter the growth spurt, the height growth rate accelerated, with boys’ height surpassing that of girls at age 13.5 years (APHV), creating the second point of intersection. From this age on, the gap between the height of boys and girls continued to widen until the age of 18 (168.6cm and 157.5cm).
![](https://revistas.unal.edu.co/index.php/revfacmed/article/download/102130/version/84435/91866/682798/Fig_4.png)
Blue: male; Pink: female.
Figure 4. Height growth velocity curves aligned according to the distance from the age at peak height velocity in boys, girls and adolescents of Huila, Colombia.
Source: Own elaboration.
![](https://revistas.unal.edu.co/index.php/revfacmed/article/download/102130/version/84435/91866/682799/Fig_5.png)
Blue: male; Pink: female.
Figure 5. Distance and growth velocity curves for height of children and adolescents in Huila, Colombia.
Note: Distance curves for height (left y-axis) indicate the height attained at a given age, and velocity curves (right y-axis) indicate the growth rate at a given age.
Source: Own elaboration.
Discussion
The present study found that in boys: (i) HV begins at 10 years of age (AMHV) and ends at 15.1 years of age (AMHVR), (ii) APHV occurs at 12.9 years of age (PHV=7.1cm/year), and (iii) the last increase in height occurs at 17.5 years of age. In turn, in girls, it was found that: (i) HV begins at 8.5 years of age (AMHV) and ends at 12.6 years of age (AMHVR), (ii) APHV occurs at 10.5 years of age (PHV=6.6cm/year), and (iii) the last increase in height occurs at 16.9 years of age. Thus, it should be noted that: (i) AMHV, APHV and AMHVR in girls occur 1.5, 2.4 and 2.5 years earlier than in boys, respectively, and (ii) PHV in boys is longer (PB: +0.9 years) and more intense (PAR: +1.1 cm/year) than in girls.
In this regard, marked sex differences were observed, with AMHV and APHV in girls occurring earlier than in boys. This is consistent with what has been described in the literature, as Malina et al.32 had already reported that girls start their period of adolescence two years earlier than boys on average and that, therefore, they reach the peak of growth earlier.
In fact, in the HV curve presented in Figure 5, it is observed that: (i) PHV occurred earlier in girls, because girls entered their growth spurt earlier and their height growth velocity was higher than that of boys in the same period; (ii) girls began to have greater increases in growth (height) and surpassed boys at 8.5 years of age (first point of intersection); (iii) as boys began to enter the growth spurt, the height growth velocity accelerated, while PB duration and PHV were higher than those of girls, causing the height of boys to exceed that of girls at 13.5 years of age (second point of intersection), and (iv) after that, the height gap between boys and girls continued to widen until age 18 (boys are +10.8cm taller than girls).
The APVH findings (12.9 years in boys and 10.5 years in girls) are in agreement with those reported by Marín et al.33 in a study conducted in 156 boys and 152 girls aged 8, 12, 14 and 17 years in the Aburrá Valley (Colombia), where it was found that the greatest increase in height occurred between the ages of 8 and 12 in girls and 8 and 14 in boys. Furthermore, in the present study, APHV occurred 2 and 2.9 years after AMHV in girls and boys, respectively, which is consistent with reports by the CDC13 (2.3 years in girls and 2.9 years in boys) and WHO14,15 (3 years in girls and 3.4 years in boys) (Table 4).
Table 4. Growth velocity parameters from the Centers for Disease Control and Prevention and the World Health Organization and from the present study (children and adolescents from Huila, Colombia).
Parameters |
Boys |
Girls |
||||
Huila |
CDC |
WHO |
Huila |
CDC |
WHO |
|
AMHV (years) |
10.0 |
10.4 |
9.7 |
8.5 |
9.3 |
8.0 |
APHV (years) |
12.9 |
13.3 |
13.1 |
10.5 |
11.6 |
11.0 |
AMHVR (years) |
15.1 |
15.0 |
14.8 |
12.6 |
12.9 |
12.2 |
CDC: Centers for Disease Control and Prevention; WHO: World Health Organization; AMHV: age at minimal pre-spurt height velocity; APHV: age at peak height velocity; AMHVR: age at minimal pre-spurt height velocity return.
Source: Elaborated based on Kuczmarski et al.,13 de Onis et al.,14 and WHO Multicentre Growth Reference Study Group.15
In relation to what has been described in international studies, the APHV of children in Huila (12.9 years) is found to be: (i) between 0.8 and 1.4 years below that reported for this population in the United States (13.8 and 13.70 years),34,35 Canada (13.9 years),36 India (14.3 years),37 Switzerland (13.9 years),38 England (14.12 and 13.91 years),39,40 and Brazil (13.9 years);41 (ii) between 0.1 and 0.5 years below that reported in Canadian (13.4 years),42,43 Brazilian (13.4 years),36 Portuguese (13.0 and 13.4 years),43,44 and Japanese (13.0 years) children;45 and (iii) between 0.4 and 0.7 years above that reported in Brazilian (12.5 years)46 and Japanese (12.2 years) children.47
In the case of girls, APVH (10.5 years) is found to be: (i) between 1.5 and 2.0 years below that reported for this population in the United States (12.5 years),34 India (12.4 years),37 Switzerland (12.2 years),48 and England (11.99 years);39 (ii) between 0.7 and 1.4 years below that reported for girls in England (12 years),40 Canada (11.8 and 11.7 years),42,43 United States (11.6 years),35 Japan (11.2 years),45 Brazil (11.6 years),41 and Poland (11.9 years);9 (iii) 0.2 years above that of Japanese girls (10.3 years);47 and (iv) similar to that reported for Brazilian girls (10.5 years).46
Furthermore, PHV was 7.1cm/year in boys and 6.6cm/year in girls. Even though this value for children is consistent with that found in international studies where a PHV between 7.3cm/year and 10.4cm/year is reported (i.e., 7.3cm/year in Japan,41 8.17cm/year in Portugal,36 8.49cm/year in Brazil,36 9.92cm/year in Canada,36 9.79cm/year in England,39 and 10.4cm/year in Canada42), it is lower in girls, as the values reported for this population worldwide vary between 7.1cm/year and 9.0cm/year (i.e., 8.1cm/year in England,40 8.6cm/year in Canada,42 and 9.02cm/year in Japan).47
Considering the foregoing, it can be stated that the APHV and PHV of children and adolescents in Huila are lower (earlier maturation) than the APHV and PHV described in most of the previously mentioned international studies. Reasons that may account (directly or indirectly) for variability in height growth and pubertal maturation include: sex, genetics, nutrition, endocrine regulation, physical activity, and ethnicity;49 urbanization of area of residence, health networks, and access to primary health care,50,51 and/or secular trend.52 Thus, the study of the variables listed above and the regular review of the growth charts are relevant contributions to improve the understanding of the variation in child development.49
The main strengths of the present study are: (i) the large sample size; (ii) the use of the LMS method, which allows to create growth curves for height with normalized data by adjusting the skewness of the data that could be involved in the height variable (since the variation in HV is not constant as age and pubertal status change), and (iii) being the first and largest study that shows the height growth patterns during puberty for boys, girls, and adolescents in Huila. However, this study has some weaknesses, namely that only cross-sectional growth data were included due to its design and that etiological factors were not considered in the analysis (e.g., altitude of the region, or ethnic and racial populations).
Accordingly, and given that knowledge of the biological parameters of height growth during puberty allows us to understand the variation in child development (with an impact on health, education, sports practice, among other areas, in this population), we propose to conduct a large-scale longitudinal study to confirm these findings and study the (complex) effect of etiological factors.
Conclusion
The following are the findings of the present study: (i) AMHV, AMHVR and APHV occurred earlier in girls than in boys; (ii) there is a marked difference in height growth patterns between sexes; and (iii) APHV occurred relatively early (in both sexes) compared to the reference values reported by the CDC and WHO. Finally, the reference values established here may be useful for assessing height growth patterns during puberty in this population.
Conflicts of interest
None stated by the authors.
Funding
Fellow of the Red Euroamericana de Física Actividad y Educación y Salud (REAFES) and of the Faculdade de Educação Física e Deporto of the University of Lusófona, Lisbon, Portugal.
Acknowledgments
To the Ministry of Health of the municipality of Neiva and the Department of Huila for providing the data for the study.
References
1.Frysz M, Howe LD, Tobias JH, Paternoster L. Using SITAR (SuperImposition by Translation and Rotation) to estimate age at peak height velocity in Avon Longitudinal Study of Parents and Children. Wellcome Open Res. 2018;3:90. https://doi.org/gqz2k2.
2.Chen L, Su B, Zhang Y, Ma T, Liu J, Yang Z, et al. Association between height growth patterns in puberty and stature in late adolescence: A longitudinal analysis in chinese children and adolescents from 2006 to 2016. Front Endocrinol. 2022;13:882840. https://doi.org/mf4m.
3.Cameron N, Bogin B, editors. Human Growth and Development. 2nd ed. London: Elsevier; 2012.
4.Bodzsàr EB, Susanne C. Secular growth changes in Europe: Do we observe similar trends? Considerations for future research. In: Bodzsàr EB, Susanne C, editors. Secular Growth Changes in Europe. Budapest: Eötvös University Press; 1998. p. 369-381.
5.Sovio U, Bennett AJ, Millwood IY, Molitor J, O’Reilly PF, Timpson NJ, et al. Genetic determinants of height growth assessed longitudinally from infancy to adulthood in the northern Finland birth cohort 1966. PLoS Genet. 2009;5(3):e1000409. https://doi.org/d25f5n.
6.Urlacher SS, Blackwell AD, Liebert MA, Mmadimenos FC, Cepon-Robins TJ, Gildner TE, et al. Physical Growth of the Shuar: Height, Weight, and BMI References for an Indigenous Amazonian Population. Am J Hum Biol. 2016;28(1):16-30. https://doi.org/f77wtq.
7.Mason A, Malik S, Russell RK, Bishop J, Mcgrogan P, Ahmed SF. Impact of inflammatory bowel disease on pubertal growth. Horm Res Paediatr. 2011;76(5):293-9. https://doi.org/c6kqcv.
8.te Wierike SC, Elferink-Gemser MT, Tromp EJ, Vaeyens R, Visscher C. Role of maturity timing in selection procedures and in the specialisation of playing positions in youth basketball. J Sports Sci. 2015;33(4):337-45. https://doi.org/mf4w.
9.Malina RM, Kozieł SM. Validation of maturity offset in a longitudinal sample of Polish girls. J Sports Sci. 2014;32(14):1374-82. https://doi.org/mf4x.
10.Guimarães E, Baxter-Jones A, Maia J, Fonseca P, Santos A, Santos E, et al. The roles of growth, maturation, physical fitness, and technical skills on selection for a Portuguese under-14 years basketball team. Sports (Basel). 2019;7(3):61. https://doi.org/gn7cv5.
11.Wickel EE, Eisenmann JC, Welk GJ. Maturity-related variation in moderate-to-vigorous physical activity among 9-14-year-olds. J Phys Act Health. 2009;6(5):597-605. https://doi.org/mf4z.
12.de Onis M, Garza C, Victora CG, Onyango AW, Frongillo EA, Martines J. The WHO Multicentre Growth Reference Study: planning, study design, and methodology. Food Nutr Bull. 2004;25(Suppl 1):S15-26. https://doi.org/mf42.
13.Kuczmarski RJ, Ogden CL, Guo SS, Grummer-Strawn LM, Flegal KM, Mei Z, et al. 2000 CDC Growth Charts for the United States: methods and development. Vital Health Stat 11. 2002;11(246):1-190.
14.de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660-7. https://doi.org/dvw3xv.
15.WHO Multicentre Growth Reference Study Group. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl. 2006;450:76-85. https://doi.org/fgrb3k.
16.Gleiss A, Lassi M, Blümel P, Borkenstein M, Kapelari K, Mayer M, et al. Austrian height and body proportion references for children aged 4 to under 19 years. Ann Hum Biol. 2013;40(4):324-32. https://doi.org/mf43.
17.Guedes DP, De Matos JA, Lopes VP, Ferreirinha JE, Silva AJ. Physical growth of schoolchildren from the Jequitinhonha Valley, Minas Gerais, Brazil: comparison with the CDC-2000 reference using the LMS method. Ann Hum Biol. 2010;37(4):574-84. https://doi.org/c3scbw.
18.Hakeem R, Shaikh AH, Asar F. Assessment of linear growth of affluent urban Pakistani adolescents according to CDC 2000 references. Ann Hum Biol. 2004;31(3):282-91. https://doi.org/d5k5hf.
19.Mushtaq MU, Gull S, Mushtaq K, Abdullah HM, Khurshid U, Shahid U, et al. Height, weight and BMI percentiles and nutritional status relative to the international growth references among Pakistani school-aged children. BMC Pediatr. 2012;12:31. https://doi.org/gb5km4.
20.Neyzi O, Furman A, Bundak R, Gunoz H, Darendeliler F, Bas F. Growth references for Turkish children aged 6 to 18 years. Acta Paediatr. 2006;95(12):1635-41. https://doi.org/d5257r.
21.Wikland KA, Luo ZC, Niklasson A, Karlberg J. Swedish population-based longitudinal reference values from birth to 18 years of age for height, weight and head circumference. Acta Paediatr. 2002;91(7):739-54. https://doi.org/fc3ftb.
22.López-Laiseca JD, Massuça LM. Reference values for height, weight, and body mass index of children and adolescents aged 2 to 18. A systematic review with an emphasis on the Colombian population. Rev. Fac. Med. 2021;69(1):e88774. https://doi.org/k53m.
23.López-Laiseca JD, Massuça LM. Growth percentiles and growth curves for weight, height, and body mass index of children and adolescents aged 2-18 years from Huila, Colombia. Rev. Fac. Med. 2023;71(3):e102119. https://doi.org/mf4r.
24.Yoshii K, Tanaka T. Establishment of a longitudinal growth chart corresponding to pubertal timing. Clin Pediatr Endocrinol. 2018;27(4):215-24. https://doi.org/gfmdcc.
25.Colombia. Departamento Administrativo Nacional de Estadística (DANE). Censo General 2005. Bogota D.C.: DANE; 2008 [cited 2024 Feb 8]. Available from: https://bit.ly/49wvLIj.
26.Largo RH, Gasser T, Prader A, Stuetzle W, Huber PJ. Analysis of the adolescent growth spurt using smoothing spline functions. Ann Hum Biol. 1978;5(5):421-34. https://doi.org/d9kcsq.
27.Cole TJ, Green PJ. Smoothing reference centile curves: the LMS method and penalized likelihood. Stat Med. 1992;11(10):1305-19. https://doi.org/fcppg8.
28.lmsChartMaker Pro 2.3 [software]. Cambridge, UK: Medical Research Council; 2006.
29.LMSchartmaker Pro [software]. 2011.
30.World Medical Association (WMA). WMA Declaration of Helsinki – Ethical principles for medical research involving human subjects. 64th WMA General Assembly; 2013.
31.Colombia. Ministerio de Salud. Resolución 8430 de 1993 (octubre 4): Por la cual se establecen las normas científicas, técnicas y administrativas para la investigación en salud. Bogotá D.C.; october 4 1993.
32.Malina RM, Bouchard C, Bar-Or O. Growth, Maturation, and Physical Activity. 2nd ed. Human Kinetics; 2004.
33.Marín MC, Martínez MP, Jiménez ID. Análisis del crecimiento y desarrollo craneofacial y general en dos poblaciones del Valle de Aburrá. Revista CES odontología. 1992;5(2):169-76.
34.Lee PA. Normal ages of pubertal events among American males and females. J Adolesc Health Care. 1980;1(1):26-9. https://doi.org/bfr6nf.
35.Malina RM, Choh AC, Czerwinski SA, Chumlea WC. Validation of Maturity Offset in the Fels Longitudinal Study. Pediatr Exerc Sci. 2016;28(3):439-55. https://doi.org/mf47.
36.Guimarães E, Baxter-Jones ADG, Pereira S, Garbeloto F, Freitas D, Janeira MA, et al. Patterns of physical performance spurts during adolescence: a cross-cultural study of Canadian, Brazilian and Portuguese boys. Ann Hum Biol. 2020;47(4):346-54. https://doi.org/mf48.
37.Hauspie RC, Das SR, Preece MA, Tanner JM. A longitudinal study of the growth in height of boys and girls of West Bengal (India) aged six months of 20 years. Ann Hum Biol. 1980;7(5):429-40. https://doi.org/bcfxdh.
38.Largo RH, Prader A. Pubertal development in Swiss boys. Helv Paediatr Acta. 1983;38(3):211-28.
39.Buckler JM, Wild J. Longitudinal study of height and weight at adolescence. Arch Dis Child. 1987;62(12):1224-32. https://doi.org/dqp9rh.
40.Tanner JM, Whitehouse RH, Marubini E, Resele LF. The adolescent growth spurt of boys and girls of the Harpenden growth study. Ann Hum Biol. 1976;3(2):109-26. https://doi.org/dr6jfh.
41.Silva S, Freitas D, Maia J. Curvas de velocidade da altura e os parâmetros do salto pubertário de crianças e adolescentes Caririenses. Rev. Bras. Educ. Fís. Esporte. 2017;31(4):729-39. https://doi.org/mf49.
42.Iuliano-Burns S, Mirwald RL, Bailey DA. Timing and magnitude of peak height velocity and peak tissue velocities for early, average, and late maturing boys and girls. Am J Hum Biol. 2001;13(1):1-8. https://doi.org/cqftvg.
43.Mirwald RL, Baxter-Jones ADG, Bailey DA, Beunen GP. An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc. 2002;34(4):689-94. https://doi.org/bxx89j.
44.Fragoso I, Ramos S, Teles J, Volossovitch A, Ferreira AP, Massuça LM. The Study of Maturational Timing Effect in Elite Portuguese Adolescent Basketball Players: Anthropometric, Functional and Game Performance Implications. Appl. Sci. 2021;11(21):9894. https://doi.org/mf5b.
45.Kimura J, Tachibana K, Imaizumi K, Kurosawa K, Kuroki Y. Longitudinal growth and height velocity of Japanese children with Down’s syndrome. Acta Paediatr. 2003;92(9):1039-42. https://doi.org/c3bff4.
46.Bergmann GG, Bergmann MLdA, Pinheiro E, Moreira RB, Marques AC, Gaya A. Longitudinal study of the physical growth of schoolchildren aged10 to 14 years: Sexual dimorphism and peak growth velocity. Rev. Bras. Cineantropometria Desempenho Hum. 2008;10(3):249-54. https://doi.org/mf5c.
47.Fujii K, Matsuura Y. Analysis of the velocity curve for height by the wavelet interpolation method in children classified by maturity rate. Am J Hum Biol. 1999;11(1):13-30. https://doi.org/bq7748.
48.Largo RH, Prader A. Pubertal development in Swiss girls. Helv Paediatr Acta. 1983;38(3):229-43.
49.Soliman A, De Sanctis V, Elalaily R, Bedair S. Advances in pubertal growth and factors influencing it: Can we increase pubertal growth? Indian J Endocrinol Metab. 2014;18(Suppl 1);S53-62. https://doi.org/gnndb7.
50.Quintana-Domeque C, Bozzoli C, Bosch M. The evolution of adult height across Spanish regions, 1950-1980: a new source of data. Econ Hum Biol. 2012;10(3):264-75. https://doi.org/cx9c3c.
51.Hawamdeh H, Spencer N. Work, family socioeconomic status, and growth among working boys in Jordan. Arch Dis Child. 2001;84(4):311-4. https://doi.org/fpfn9c.
52.Morisaki N, Urayama KY, Yoshii K, Subramanian SV, Yokoya S. Ecological analysis of secular trends in low birth weight births and adult height in Japan. J Epidemiol Community Health. 2017;71(10):1014-8. https://doi.org/mf5f.
Referencias
Frysz M, Howe LD, Tobias JH, Paternoster L. Using SITAR (SuperImposition by Translation and Rotation) to estimate age at peak height velocity in Avon Longitudinal Study of Parents and Children. Wellcome Open Res. 2018;3:90. https://doi.org/gqz2k2.
Chen L, Su B, Zhang Y, Ma T, Liu J, Yang Z, et al. Association between height growth patterns in puberty and stature in late adolescence: A longitudinal analysis in chinese children and adolescents from 2006 to 2016. Front Endocrinol. 2022;13:882840. https://doi.org/mf4m.
Cameron N, Bogin B, editors. Human Growth and Development. 2nd ed. London: Elsevier; 2012.
Bodzsàr EB, Susanne C. Secular growth changes in Europe: Do we observe similar trends? Considerations for future research. In: Bodzsàr EB, Susanne C, editors. Secular Growth Changes in Europe. Budapest: Eötvös University Press; 1998. p. 369-381.
Sovio U, Bennett AJ, Millwood IY, Molitor J, O’Reilly PF, Timpson NJ, et al. Genetic determinants of height growth assessed longitudinally from infancy to adulthood in the northern Finland birth cohort 1966. PLoS Genet. 2009;5(3):e1000409. https://doi.org/d25f5n.
Urlacher SS, Blackwell AD, Liebert MA, Mmadimenos FC, Cepon-Robins TJ, Gildner TE, et al. Physical Growth of the Shuar: Height, Weight, and BMI References for an Indigenous Amazonian Population. Am J Hum Biol. 2016;28(1):16-30. https://doi.org/f77wtq.
Mason A, Malik S, Russell RK, Bishop J, Mcgrogan P, Ahmed SF. Impact of inflammatory bowel disease on pubertal growth. Horm Res Paediatr. 2011;76(5):293-9. https://doi.org/c6kqcv.
te Wierike SC, Elferink-Gemser MT, Tromp EJ, Vaeyens R, Visscher C. Role of maturity timing in selection procedures and in the specialisation of playing positions in youth basketball. J Sports Sci. 2015;33(4):337-45. https://doi.org/mf4w.
Malina RM, Kozieł SM. Validation of maturity offset in a longitudinal sample of Polish girls. J Sports Sci. 2014;32(14):1374-82. https://doi.org/mf4x.
Guimarães E, Baxter-Jones A, Maia J, Fonseca P, Santos A, Santos E, et al. The roles of growth, maturation, physical fitness, and technical skills on selection for a Portuguese under-14 years basketball team. Sports (Basel). 2019;7(3):61. https://doi.org/gn7cv5.
Wickel EE, Eisenmann JC, Welk GJ. Maturity-related variation in moderate-to-vigorous physical activity among 9-14-year-olds. J Phys Act Health. 2009;6(5):597-605. https://doi.org/mf4z.
de Onis M, Garza C, Victora CG, Onyango AW, Frongillo EA, Martines J. The WHO Multicentre Growth Reference Study: planning, study design, and methodology. Food Nutr Bull. 2004;25(Suppl 1):S15-26. https://doi.org/mf42.
Kuczmarski RJ, Ogden CL, Guo SS, Grummer-Strawn LM, Flegal KM, Mei Z, et al. 2000 CDC Growth Charts for the United States: methods and development. Vital Health Stat 11. 2002;11(246):1-190.
de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660-7. https://doi.org/dvw3xv.
WHO Multicentre Growth Reference Study Group. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl. 2006;450:76-85. https://doi.org/fgrb3k.
Gleiss A, Lassi M, Blümel P, Borkenstein M, Kapelari K, Mayer M, et al. Austrian height and body proportion references for children aged 4 to under 19 years. Ann Hum Biol. 2013;40(4):324-32. https://doi.org/mf43.
Guedes DP, De Matos JA, Lopes VP, Ferreirinha JE, Silva AJ. Physical growth of schoolchildren from the Jequitinhonha Valley, Minas Gerais, Brazil: comparison with the CDC-2000 reference using the LMS method. Ann Hum Biol. 2010;37(4):574-84. https://doi.org/c3scbw.
Hakeem R, Shaikh AH, Asar F. Assessment of linear growth of affluent urban Pakistani adolescents according to CDC 2000 references. Ann Hum Biol. 2004;31(3):282-91. https://doi.org/d5k5hf.
Mushtaq MU, Gull S, Mushtaq K, Abdullah HM, Khurshid U, Shahid U, et al. Height, weight and BMI percentiles and nutritional status relative to the international growth references among Pakistani school-aged children. BMC Pediatr. 2012;12:31. https://doi.org/gb5km4.
Neyzi O, Furman A, Bundak R, Gunoz H, Darendeliler F, Bas F. Growth references for Turkish children aged 6 to 18 years. Acta Paediatr. 2006;95(12):1635-41. https://doi.org/d5257r.
Wikland KA, Luo ZC, Niklasson A, Karlberg J. Swedish population-based longitudinal reference values from birth to 18 years of age for height, weight and head circumference. Acta Paediatr. 2002;91(7):739-54. https://doi.org/fc3ftb.
López-Laiseca JD, Massuça LM. Reference values for height, weight, and body mass index of children and adolescents aged 2 to 18. A systematic review with an emphasis on the Colombian population. Rev. Fac. Med. 2021;69(1):e88774. https://doi.org/k53m.
López-Laiseca JD, Massuça LM. Growth percentiles and growth curves for weight, height, and body mass index of children and adolescents aged 2-18 years from Huila, Colombia. Rev. Fac. Med. 2023;71(3):e102119. https://doi.org/mf4r.
Yoshii K, Tanaka T. Establishment of a longitudinal growth chart corresponding to pubertal timing. Clin Pediatr Endocrinol. 2018;27(4):215-24. https://doi.org/gfmdcc.
Colombia. Departamento Administrativo Nacional de Estadística (DANE). Censo General 2005. Bogota D.C.: DANE; 2008 [cited 2024 Feb 8]. Available from: https://bit.ly/49wvLIj.
Largo RH, Gasser T, Prader A, Stuetzle W, Huber PJ. Analysis of the adolescent growth spurt using smoothing spline functions. Ann Hum Biol. 1978;5(5):421-34. https://doi.org/d9kcsq.
Cole TJ, Green PJ. Smoothing reference centile curves: the LMS method and penalized likelihood. Stat Med. 1992;11(10):1305-19. https://doi.org/fcppg8.
lmsChartMaker Pro 2.3 [software]. Cambridge, UK: Medical Research Council; 2006.
LMSchartmaker Pro [software]. 2011.
World Medical Association (WMA). WMA Declaration of Helsinki – Ethical principles for medical research involving human subjects. 64th WMA General Assembly; 2013.
Colombia. Ministerio de Salud. Resolución 8430 de 1993 (octubre 4): Por la cual se establecen las normas científicas, técnicas y administrativas para la investigación en salud. Bogotá D.C.; october 4 1993.
Malina RM, Bouchard C, Bar-Or O. Growth, Maturation, and Physical Activity. 2nd ed. Human Kinetics; 2004.
Marín MC, Martínez MP, Jiménez ID. Análisis del crecimiento y desarrollo craneofacial y general en dos poblaciones del Valle de Aburrá. Revista CES odontología. 1992;5(2):169-76.
Lee PA. Normal ages of pubertal events among American males and females. J Adolesc Health Care. 1980;1(1):26-9. https://doi.org/bfr6nf.
Malina RM, Choh AC, Czerwinski SA, Chumlea WC. Validation of Maturity Offset in the Fels Longitudinal Study. Pediatr Exerc Sci. 2016;28(3):439-55. https://doi.org/mf47.
Guimarães E, Baxter-Jones ADG, Pereira S, Garbeloto F, Freitas D, Janeira MA, et al. Patterns of physical performance spurts during adolescence: a cross-cultural study of Canadian, Brazilian and Portuguese boys. Ann Hum Biol. 2020;47(4):346-54. https://doi.org/mf48.
Hauspie RC, Das SR, Preece MA, Tanner JM. A longitudinal study of the growth in height of boys and girls of West Bengal (India) aged six months of 20 years. Ann Hum Biol. 1980;7(5):429-40. https://doi.org/bcfxdh.
Largo RH, Prader A. Pubertal development in Swiss boys. Helv Paediatr Acta. 1983;38(3):211-28.
Buckler JM, Wild J. Longitudinal study of height and weight at adolescence. Arch Dis Child. 1987;62(12):1224-32. https://doi.org/dqp9rh.
Tanner JM, Whitehouse RH, Marubini E, Resele LF. The adolescent growth spurt of boys and girls of the Harpenden growth study. Ann Hum Biol. 1976;3(2):109-26. https://doi.org/dr6jfh.
Silva S, Freitas D, Maia J. Curvas de velocidade da altura e os parâmetros do salto pubertário de crianças e adolescentes Caririenses. Rev. Bras. Educ. Fís. Esporte. 2017;31(4):729-39. https://doi.org/mf49.
Iuliano-Burns S, Mirwald RL, Bailey DA. Timing and magnitude of peak height velocity and peak tissue velocities for early, average, and late maturing boys and girls. Am J Hum Biol. 2001;13(1):1-8. https://doi.org/cqftvg.
Mirwald RL, Baxter-Jones ADG, Bailey DA, Beunen GP. An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc. 2002;34(4):689-94. https://doi.org/bxx89j.
Fragoso I, Ramos S, Teles J, Volossovitch A, Ferreira AP, Massuça LM. The Study of Maturational Timing Effect in Elite Portuguese Adolescent Basketball Players: Anthropometric, Functional and Game Performance Implications. Appl. Sci. 2021;11(21):9894. https://doi.org/mf5b.
Kimura J, Tachibana K, Imaizumi K, Kurosawa K, Kuroki Y. Longitudinal growth and height velocity of Japanese children with Down’s syndrome. Acta Paediatr. 2003;92(9):1039-42. https://doi.org/c3bff4.
Bergmann GG, Bergmann MLdA, Pinheiro E, Moreira RB, Marques AC, Gaya A. Longitudinal study of the physical growth of schoolchildren aged10 to 14 years: Sexual dimorphism and peak growth velocity. Rev. Bras. Cineantropometria Desempenho Hum. 2008;10(3):249-54. https://doi.org/mf5c.
Fujii K, Matsuura Y. Analysis of the velocity curve for height by the wavelet interpolation method in children classified by maturity rate. Am J Hum Biol. 1999;11(1):13-30. https://doi.org/bq7748.
Largo RH, Prader A. Pubertal development in Swiss girls. Helv Paediatr Acta. 1983;38(3):229-43.
Soliman A, De Sanctis V, Elalaily R, Bedair S. Advances in pubertal growth and factors influencing it: Can we increase pubertal growth? Indian J Endocrinol Metab. 2014;18(Suppl 1);S53-62. https://doi.org/gnndb7.
Quintana-Domeque C, Bozzoli C, Bosch M. The evolution of adult height across Spanish regions, 1950-1980: a new source of data. Econ Hum Biol. 2012;10(3):264-75. https://doi.org/cx9c3c.
Hawamdeh H, Spencer N. Work, family socioeconomic status, and growth among working boys in Jordan. Arch Dis Child. 2001;84(4):311-4. https://doi.org/fpfn9c.
Morisaki N, Urayama KY, Yoshii K, Subramanian SV, Yokoya S. Ecological analysis of secular trends in low birth weight births and adult height in Japan. J Epidemiol Community Health. 2017;71(10):1014-8. https://doi.org/mf5f.
Cómo citar
APA
ACM
ACS
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Descargar cita
Licencia
Derechos de autor 2023 Revista de la Facultad de Medicina
![Creative Commons License](http://i.creativecommons.org/l/by/3.0/88x31.png)
Esta obra está bajo una licencia Creative Commons Reconocimiento 3.0 Unported.
Derechos de autor
Los autores deben aceptar transferir a la Revista de la Facultad de Medicina los derechos de autor de los artículos publicados. La editorial tiene el derecho del uso, reproducción, transmisión, distribución y publicación en cualquier forma o medio. Los autores no podrán permitir o autorizar el uso de la contribución sin el consentimiento escrito de la revista. Estos archivos están disponibles en https://goo.gl/EfWPdX y https://goo.gl/6zztk4 y deben cargarse en el paso 4 del envío OJS (archivos complementarios).
La carta de cesión de derechos de autor y la de responsabilidad de autoría deben ser entregadas junto con el original.
Aquellos autores/as que tengan publicaciones con esta revista, aceptan los términos siguientes:
- Los autores/as conservarán sus derechos de autor y garantizarán a la revista el derecho de primera publicación de su obra, el cuál estará simultáneamente sujeto a la Licencia de reconocimiento de Creative Commons que permite a terceros compartir la obra siempre que se indique su autor y su primera publicación esta revista.
- Los autores/as podrán adoptar otros acuerdos de licencia no exclusiva de distribución de la versión de la obra publicada (p. ej.: depositarla en un archivo telemático institucional o publicarla en un volumen monográfico) siempre que se indique la publicación inicial en esta revista.
- Se permite y recomienda a los autores/as difundir su obra a través de Internet (p. ej.: en archivos telemáticos institucionales o en su página web) antes y durante el proceso de envío, lo cual puede producir intercambios interesantes y aumentar las citas de la obra publicada. (Véase El efecto del acceso abierto).