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Acta Endocrinologica (Bucharest) logoLink to Acta Endocrinologica (Bucharest)
. 2016 Jul-Sep;12(3):309–318. doi: 10.4183/aeb.2016.309

DEVELOPMENT OF SYNTHETIC GROWTH CHARTS FOR ROMANIAN POPULATION

I Pascanu 1, R Pop 1,*, CG Barbu 2,3, CP Dumitrescu 4, I Gherlan 4, O Marginean 5,6, C Preda 7, C Procopiuc 4, C Vulpoi 7, M Hermanussen 8
PMCID: PMC6535259  PMID: 31149106

Abstract

There are no new national growth references for the Romanian population and the current recommendations for short stature evaluation is the use of the Swiss growth charts developed based on a longitudinal study.

The aim of the present paper is to present the new synthetic growth references for Romanian children.

Material and methods

We used local Romanian data from 9 studies with information on height and weight obtained between 1999 and 2016. Based on their plausibility and methodology six studies were selected for generating the National Synthetic Growth References for Romanian Children based on the specific methodology described previously. The selected studies included 8407 subjects measured in schools/kindergartens. Age is reported in years covering a range from 3-18 years. Height and weight were measured at a precision of 0.1 cm and 0.1 kg. All children were measured at normal temperature, in light clothes, without footwear.

Results

We present the charts and tables with the common centiles for height, weight and body mass index for boys and girls.

Conclusion

We suggest synthetic growth references based upon recent growth data from 6 different Romanian regions as new National Growth Charts for Romanian children.

Keywords: synthetic growth charts

INTRODUCTION

The clinical evaluation of height and weight is based on comparisons with specific growth references. Yet, disagreement however exists upon which chart is the right chart to use (1). In many countries, national references for height, weight and body mass index (BMI) are available. Also for Romania several regional studies have been performed (2, 3), but none of these studies can be considered a national representative sample. As the only available growth chart for the Romanian population has been published more than four decades ago (4, 5), current recommendations from the protocol of growth hormone treatment in short stature in Romania suggest (6) using the Swiss growth charts developed in 1989 by Prader (7) for clinical purposes.

In recent years globally applicable international growth standards and references have been suggested for countries that lack national growth references (8). The idea of such standards goes back to recommendations of a Working Group on infant growth established by the World Health Organization (WHO), and may be justified for infants and very young children who tend to grow similarly under modern affluent conditions. Yet, it appears questionable whether WHO growth standards and references should be used for clinical purposes in Romanian children, particularly as the Romanian population at present undergoes major economic transition that may have major influences also on infant and child growth. It was, thus, considered appropriate to newly develop a national growth chart for Romanian children. Constructing national growth charts is demanding work and most notably, expensive work. It was therefore decided to apply the method of generating synthetic references for the Romanian population.

Synthetic growth references are based on Principal Component Analysis and the Likelihood principle. Based on a global reference combination of longitudinal and cross-sectional modern and historic growth studies with data on height and weight, mean values and a limited number of Principal Components, that characterize the variability of growth in this global sample, are known (9). This information is then used to derive estimates of height, weight, BMI and respective centiles from available auxological data of the Romanian population.

MATERIAL AND METHOD

Methods used for generating synthetic growth charts are described in detail elsewhere (9).

In short, the methodology comprises 2 steps:

Step 1:

- Principal Component Analysis was applied to characterize the global variance of the mean values for height, weight and BMI in 196 female and 197 male longitudinal and cross-sectional growth studies from 53 countries published since 1831 (all studies contained information on height, data on height and weight were available in 87 female and 89 male studies).

- Five principal components were able to explain 98.4 % of the between-study variance in mean height, 99.2 % of this variance in mean weight, and 93 % (females) and 94 % (males) of this variance in mean BMI. These components define a growth model that describes the basic human growth pattern from birth to maturity. The component of this growth model can now be used for generating “synthetic” references for height, weight, and BMI of any population of interest that lacks complete annual data of these parameters.

Step 2:

- The Maximum Likelihood Principle is then applied and standard techniques for non-linear optimization are used. This step generates a “synthetic” growth curve that is the most likely curve for the population of interest given the following assumptions:

  • a)

    the curve belongs to a population similar to the ones for which the Principal Component Analysis was performed,

  • b)

    all differences between the curve and the observed mean heights are errors of these means distributed according to a known standard error of the mean.

- By applying a Bayesian rational, synthetic growth curve find that curve that best compromises between the data available from the population of interest and the global patterns obtained from the Principal Component Analysis.

We used local Romanian data from 9 studies with information on height and weight obtained between 1999 and 2016 (Table 1). Not all of these studies, however, appeared fully plausible. Data from the Childhood Obesity Surveillance Initiative appeared unsuitable because of some uncertainty in respect to the definition of age (10). A “rural” study was excluded because the probands were obtained from general practitioners’ offices without clear selection criteria, and also the numbers appeared limited. We also excluded data from Cluj given the fact that information was available only for height and the fact that it included only subjects from urban areas. Also given the proximity of Targu Mures and Cluj and the fact that the Mures data was more recent, we considered including the former. Six studies (Table 1) remained, and were selected for generating the National Synthetic Growth References for Romanian Children. The 6 studies selected added to 8407 measurements of children 3-18 years of age. This represents approximately 0.22% of the Romanian population below 18 years according to the latest census.

Table 1.

Description of the studies analyzed

No  Location Number of subjects Socio-economic status Ethnicity Age Measurement location Period Published
  Iasi 556 Not available (NA) NA 7-13 Schools 2016 no
  Timisoara 2130 NA NA 3-18 Schools, kindergartens 2011-2012 2013-2014 no
  Mures 1923 NA NA 6-14 Schools 2013-2014 no
  Bucuresti 1 1108 NA NA 6-23 Schools 2011 Yes (11)
  Childhood Obesity Surveillance Initiative 4348 NA NA 8-9 Schools 2013 Yes (10)
  Rural 134 NA NA 8-15 General practice office (GPO) 2011 abstract only (12)
  Bucuresti 2 1163 NA NA 3-18 Schools 2015 No
  Cluj 7953 NA NA 0-18 GPO, schools, kindergartens 1999, 2012-2013 yes (13)
  Petroşani 1527 NA NA 3-16 Schools, kindergartens 2016 No

The selected studies included subjects measured in schools/kindergartens. Age is reported in years. A 6 years old subject is defined like any subject with the age between 5.5 to 6.49 years. Height and weight were measured by trained medical personnel at a precision of 0.1 cm and 0.1 kg. For every parameter the mean of three measurements was used. All children were measured at normal temperature, in light clothes, without footwear.

The studies provided information from all main regions of the country, recorded in the last five years: Timisoara, Tirgu-Mures, Bucharest (2 cohorts), Petroşani and Iasi. The age range varied between the studies, but overall, covered the full age range from 3 to 18 years. For weight charts, we used the same data sets, excluding one of the Bucharest studies, considered redundant. Height data is showed as means and standard deviations. Weight data was expressed as medians (3 data sets) or means and standard deviations. Based on the number of subjects in each growth study we a priori considered a measurement error of 0.7 (girls) cm and 0.5 (boys) cm for height; 0.7 (girls) kg and 0.5 (boys) kg for weight; and 0.3 kg/m2 for BMI.

Original centiles for height and weight were not recorded as this information is provided by the synthetic approach. For generating the synthetic charts, 6 age groups were selected: boys: 4,7,11,13,15, and 18 years; girls: 4,7,9,11,13, and 16 years. These age groups were chosen as they provided information on prepubertal, pubertal and final height. Centiles for weight and BMI were calculated using LMS method (14).

MedCalc v. 12.5 was used for statistical analysis with a level of significance α=0.05. Data were tested for normal distribution using the Kolmogorov-Smirnov method. For data comparison, non-parametric tests were used (Wilcoxon).

All the studies taken into consideration were approved by the local ethics committee and written consent was obtained from the parents/legal representatives, which contain information about the possibility of secondary data analysis. Given the fact that for generating the synthetic growth curves we use secondary research, having no contact with and no possibility to identify any of the subjects, a new ethics approval was considered redundant.

RESULTS

1. Height

Tables 2 and 3 show the computed synthetic means and SD scores for height for both sexes. Figure 1 depicts the synthetic growth curves derived for both boys and girls.

Figure 1.

Figure 1.

Synthetic height centiles, Legend - p3 – 3rd percentile, p5 – 5th percentile, p10 – 10th percentile, p25 – 25th percentile, p50 – 50th percentile, p75 – 75th percentile, p90 – 90th percentile, p95 – 95th percentile, p97 – 97th percentile.

Table 2.

Synthetic means and SD for height – boys

Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm)
0 50.6 2.0 33 94.9 4.0 66 114.4 4.9 99 130.9 5.7 132 145.3 6.6 165 163.6 8.2 198 175.6 6.8
1 54.2 2.2 34 95.6 4.0 67 114.9 4.9 100 131.3 5.7 133 145.8 6.6 166 164.2 8.3 199 175.7 6.8
2 57.7 2.3 35 96.4 4.1 68 115.5 5.0 101 131.8 5.7 134 146.3 6.7 167 164.8 8.3 200 175.8 6.8
3 61.3 2.4 36 97.1 4.1 69 116.0 5.0 102 132.3 5.8 135 146.8 6.7 168 165.5 8.3 201 176.0 6.7
4 63.6 2.5 37 97.7 4.1 70 116.6 5.0 103 132.7 5.8 136 147.3 6.8 169 165.9 8.3 202 176.1 6.7
5 65.9 2.5 38 98.3 4.2 71 117.1 5.1 104 133.2 5.8 137 147.8 6.8 170 166.4 8.2 203 176.2 6.7
6 68.1 2.5 39 98.9 4.2 72 117.7 5.1 105 133.6 5.8 138 148.3 6.9 171 166.9 8.2 204 176.4 6.6
7 69.6 2.5 40 99.5 4.2 73 118.2 5.1 106 134.1 5.9 139 148.8 6.9 172 167.4 8.2 205 176.4 6.6
8 71.2 2.6 41 100.1 4.3 74 118.7 5.1 107 134.6 5.9 140 149.3 7.0 173 167.9 8.1 206 176.5 6.6
9 72.7 2.6 42 100.7 4.3 75 119.2 5.2 108 135.0 5.9 141 149.8 7.0 174 168.4 8.1 207 176.6 6.6
10 73.9 2.7 43 101.3 4.3 76 119.7 5.2 109 135.4 5.9 142 150.3 7.1 175 168.9 8.0 208 176.6 6.6
11 75.2 2.8 44 101.9 4.4 77 120.2 5.2 110 135.9 5.9 143 150.8 7.1 176 169.4 8.0 209 176.7 6.6
12 76.5 2.8 45 102.5 4.4 78 120.7 5.2 111 136.3 6.0 144 151.2 7.2 177 169.9 8.0 210 176.7 6.6
13 77.5 2.9 46 103.1 4.4 79 121.2 5.2 112 136.7 6.0 145 151.8 7.2 178 170.3 7.9 211 176.8 6.6
14 78.6 3.0 47 103.7 4.5 80 121.7 5.3 113 137.2 6.0 146 152.4 7.3 179 170.8 7.9 212 176.9 6.5
15 79.6 3.0 48 104.3 4.5 81 122.2 5.3 114 137.6 6.0 147 153.0 7.4 180 171.3 7.9 213 176.9 6.5
16 80.7 3.1 49 104.9 4.5 82 122.7 5.3 115 138.0 6.1 148 153.5 7.4 181 171.6 7.8 214 177.0 6.5
17 81.7 3.2 50 105.5 4.5 83 123.2 5.3 116 138.5 6.1 149 154.1 7.5 182 171.9 7.7 215 177.1 6.5
18 82.8 3.2 51 106.0 4.6 84 123.7 5.4 117 138.9 6.1 150 154.7 7.6 183 172.2 7.7 216 177.1 6.5
19 83.7 3.3 52 106.6 4.6 85 124.2 5.4 118 139.3 6.1 151 155.3 7.7 184 172.5 7.6      
20 84.6 3.4 53 107.2 4.6 86 124.7 5.4 119 139.8 6.2 152 155.8 7.7 185 172.8 7.5      
21 85.5 3.4 54 107.7 4.6 87 125.2 5.4 120 140.2 6.2 153 156.4 7.8 186 173.0 7.5      
22 86.4 3.5 55 108.3 4.6 88 125.7 5.5 121 140.6 6.2 154 157.0 7.9 187 173.3 7.4      
23 87.3 3.5 56 108.9 4.7 89 126.1 5.5 122 141.1 6.2 155 157.6 8.0 188 173.6 7.3      
24 88.2 3.6 57 109.4 4.7 90 126.6 5.5 123 141.5 6.3 156 158.1 8.0 189 173.9 7.3      
25 88.9 3.6 58 110.0 4.7 91 127.1 5.5 124 141.9 6.3 157 158.7 8.0 190 174.2 7.2      
26 89.7 3.7 59 110.5 4.7 92 127.6 5.5 125 142.4 6.3 158 159.4 8.1 191 174.5 7.1      
27 90.4 3.7 60 111.1 4.7 93 128.1 5.6 126 142.8 6.4 159 160.0 8.1 192 174.8 7.1      
28 91.2 3.8 61 111.7 4.8 94 128.5 5.6 127 143.2 6.4 160 160.6 8.1 193 174.9 7.0      
29 91.9 3.8 62 112.2 4.8 95 129.0 5.6 128 143.6 6.4 161 161.2 8.1 194 175.0 7.0      
30 92.6 3.9 63 112.7 4.8 96 129.5 5.6 129 144.1 6.5 162 161.8 8.2 195 175.2 7.0      
31 93.4 3.9 64 113.3 4.9 97 130.0 5.7 130 144.5 6.5 163 162.4 8.2 196 175.3 6.9      
32 94.1 3.9 65 113.8 4.9 98 130.4 5.7 131 144.9 6.5 164 163.0 8.2 197 175.4 6.9      

Legend: mo. – months; SD – standard deviation; cm - centimeters.

Table 3.

Synthetic means and SD for height – girls

Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm) Age (mo.) Mean (cm) SD (cm)
0 50.3 2.0 33 93.4 3.9 66 113.5 4.9 99 129.7 5.8 132 145.4 7.0 165 159.2 6.3 198 163.4 5.8
1 53.6 2.1 34 94.2 3.9 67 114.1 4.9 100 130.1 5.8 133 145.9 7.0 166 159.5 6.2 199 163.5 5.8
2 56.8 2.2 35 94.9 4.0 68 114.6 4.9 101 130.6 5.8 134 146.4 7.0 167 159.8 6.2 200 163.5 5.8
3 60.0 2.3 36 95.6 4.0 69 115.2 5.0 102 131.0 5.8 135 146.9 7.0 168 160.1 6.2 201 163.6 5.8
4 62.2 2.4 37 96.3 4.0 70 115.7 5.0 103 131.5 5.9 136 147.4 7.0 169 160.3 6.1 202 163.6 5.8
5 64.5 2.4 38 96.9 4.1 71 116.3 5.0 104 131.9 5.9 137 147.9 7.0 170 160.4 6.1 203 163.7 5.8
6 66.7 2.5 39 97.5 4.1 72 116.8 5.0 105 132.4 5.9 138 148.4 7.0 171 160.6 6.1 204 163.7 5.8
7 68.2 2.5 40 98.2 4.2 73 117.4 5.1 106 132.8 5.9 139 148.9 7.1 172 160.8 6.1 205 163.7 5.8
8 69.7 2.6 41 98.8 4.2 74 117.9 5.1 107 133.3 6.0 140 149.5 7.1 173 160.9 6.1 206 163.8 5.8
9 71.1 2.6 42 99.5 4.2 75 118.4 5.1 108 133.7 6.0 141 150.0 7.1 174 161.1 6.1 207 163.8 5.8
10 72.4 2.7 43 100.1 4.3 76 118.9 5.1 109 134.2 6.0 142 150.5 7.1 175 161.3 6.0 208 163.8 5.8
11 73.7 2.7 44 100.7 4.3 77 119.4 5.2 110 134.7 6.1 143 151.0 7.1 176 161.4 6.0 209 163.9 5.8
12 75.0 2.8 45 101.4 4.4 78 119.9 5.2 111 135.1 6.1 144 151.5 7.1 177 161.6 6.0 210 163.9 5.8
13 76.0 2.8 46 102.0 4.4 79 120.5 5.2 112 135.6 6.2 145 151.9 7.1 178 161.7 6.0 211 163.9 5.8
14 77.1 2.9 47 102.6 4.4 80 121.0 5.2 113 136.1 6.2 146 152.3 7.0 179 161.9 6.0 212 164.0 5.8
15 78.1 3.0 48 103.3 4.5 81 121.5 5.3 114 136.6 6.2 147 152.8 7.0 180 162.1 6.0 213 164.0 5.8
16 79.1 3.0 49 103.9 4.5 82 122.0 5.3 115 137.0 6.3 148 153.2 7.0 181 162.2 5.9 214 164.1 5.8
17 80.2 3.1 50 104.4 4.5 83 122.5 5.3 116 137.5 6.3 149 153.6 6.9 182 162.3 5.9 215 164.1 5.8
18 81.2 3.2 51 105.0 4.5 84 123.0 5.3 117 138.0 6.4 150 154.1 6.9 183 162.3 5.9 216 164.1 5.8
19 82.1 3.2 52 105.6 4.6 85 123.5 5.4 118 138.5 6.4 151 154.5 6.9 184 162.4 5.9      
20 83.1 3.3 53 106.2 4.6 86 123.9 5.4 119 138.9 6.5 152 154.9 6.8 185 162.5 5.9      
21 84.0 3.4 54 106.8 4.6 87 124.4 5.4 120 139.4 6.5 153 155.3 6.8 186 162.6 5.9      
22 85.0 3.4 55 107.3 4.6 88 124.8 5.5 121 139.9 6.5 154 155.8 6.8 187 162.7 5.9      
23 85.9 3.5 56 107.9 4.7 89 125.2 5.5 122 140.4 6.6 155 156.2 6.7 188 162.8 5.9      
24 86.8 3.5 57 108.5 4.7 90 125.7 5.5 123 140.9 6.6 156 156.6 6.7 189 162.9 5.9      
25 87.6 3.6 58 109.1 4.7 91 126.1 5.5 124 141.4 6.7 157 156.9 6.6 190 163.0 5.9      
26 88.3 3.6 59 109.7 4.7 92 126.6 5.6 125 141.9 6.7 158 157.2 6.6 191 163.1 5.8      
27 89.0 3.6 60 110.2 4.8 93 127.0 5.6 126 142.4 6.7 159 157.5 6.6 192 163.2 5.8      
28 89.8 3.7 61 110.8 4.8 94 127.4 5.6 127 142.9 6.8 160 157.8 6.5 193 163.2 5.8      
29 90.5 3.7 62 111.3 4.8 95 127.9 5.7 128 143.4 6.8 161 158.1 6.5 194 163.2 5.8      
30 91.2 3.8 63 111.9 4.8 96 128.3 5.7 129 143.9 6.9 162 158.4 6.4 195 163.3 5.8      
31 92.0 3.8 64 112.4 4.9 97 128.8 5.7 130 144.4 6.9 163 158.6 6.4 196 163.3 5.8      
32 92.7 3.8 65 113.0 4.9 98 129.2 5.7 131 144.9 6.9 164 158.9 6.3 197 163.4 5.8      

Legend: mo. – months; SD – standard deviation; cm – centimeters.

When comparing the synthetic references with the existing references currently used in Romania (Swiss, WHO and CDC), there are statistically significant differences between either 2 standards compared (p<0.0001).

Romanian boys are in average taller than the Swiss with 0.51±0.84cm (p=0.038), 1.71±0.42cm than the US (p<0.0001) and 1.77±0.57cm (p<0.0001) than the international WHO reference. For girls, the mean differences are 0.35±0.65cm for the Swiss, 1.03±0.91cm for the US and 0.81±0.59cm than the WHO (Fig. 4a).

Figure 4.

Figure 4.

Height (a) and BMI (b) differences between the synthetic and the common used references.

Legend - Ro - Romanian synthetic reference, CDC - US growth reference, WHO - World Health Organization’s growth reference, Prader - Swiss growth reference, IOTF - International Obesity Task Force reference.

The maximum difference between the Romanian and the CDC tables for boys is 2.3cm at the age of 12.4 years and the minimum is 0.93cm at the age of 17.6 years. Using the same 2 references for girls, the maximum difference is 2.6cm at the age of 4.6 years and the minimum 0.009cm at the age of 12.1 years.

The maximum difference between the Prader and Romanian growth standards for boys is attained at 14 years (2.5cm), while the minimum is 0.0008cm at 9.9 years. For girls, the corresponding values are 1.39cm maximum (12 years) and respectively 0.003cm minimum (14 years).

The same comparison using the Romanian and WHO standards leads to a maximum difference for boys 2.45cm at 9 years and a minimum of 0.39cm at 2 years of age. For girls the maximum difference is found at 7 years (2.21cm) and the minimum at 12.5years (0.049cm).

2. Weight and BMI

Tables 4-5 show the common centiles for weight analysis and Figure 2 depicts the corresponding curves.

Figure 2.

Figure 2.

Synthetic weight centiles, Legend - p3 – 3rd percentile, p5 – 5th percentile, p10 – 10th percentile, p25 – 25th percentile, p50 – 50th percentile, p75 – 75th percentile, p90 – 90th percentile, p95 – 95th percentile, p97 – 97th percentile.

Table 4.

Weight references (kg) for boys

 Age (years) p3 p5 p10 p25 p50 p75 p90 p95 p97
0 2.62 2.72 2.89 3.16 3.47 3.78 4.07 4.25 4.36
0.25 4.85 5.02 5.30 5.76 6.28 6.82 7.32 7.63 7.82
0.5 6.62 6.80 7.10 7.60 8.16 8.74 9.29 9.62 9.83
0.75 7.71 7.91 8.23 8.78 9.41 10.06 10.66 11.04 11.28
1 8.73 8.93 9.25 9.80 10.42 11.07 11.68 12.06 12.30
1.5 10.03 10.24 10.58 11.18 11.89 12.64 13.37 13.84 14.14
2 11.01 11.24 11.63 12.30 13.10 13.95 14.79 15.33 15.68
3 12.64 12.93 13.42 14.28 15.31 16.44 17.56 18.29 18.76
4 14.18 14.52 15.10 16.15 17.44 18.90 20.40 21.41 22.08
5 15.89 16.27 16.93 18.12 19.60 21.30 23.08 24.29 25.09
6 17.65 18.09 18.83 20.18 21.88 23.85 25.94 27.38 28.35
7 19.49 20.00 20.88 22.48 24.55 27.00 29.67 31.55 32.84
8 21.41 22.01 23.05 24.99 27.53 30.65 34.18 36.75 38.55
9 23.57 24.26 25.46 27.72 30.72 34.44 38.70 41.85 44.07
10 25.91 26.73 28.15 30.79 34.27 38.51 43.29 46.73 49.13
11 28.25 29.19 30.83 33.93 38.04 43.14 48.98 53.25 56.26
12 31.04 32.16 34.10 37.79 42.68 48.76 55.71 60.79 64.36
13 34.75 36.10 38.46 42.87 48.66 55.70 63.54 69.12 72.97
14 39.98 41.54 44.21 49.13 55.38 62.70 70.50 75.86 79.45
15 45.75 47.37 50.12 55.09 61.24 68.23 75.45 80.28 83.46
16 51.24 52.75 55.29 59.89 65.57 72.04 78.73 83.23 86.20
17 54.56 55.98 58.38 62.69 68.01 74.02 80.22 84.37 87.12
18 55.76 57.18 59.60 63.93 69.25 75.27 81.45 85.58 88.31

Legend: Kg – kilograms; p3 – 3rd percentile; p5 – 5th percentile; p10 – 10th percentile; p25 – 25th percentile; p50 – 50th percentile; p75 – 75th percentile; p90 – 90th percentile; p95 – 95th percentile; p97 – 97th percentile.

Table 5.

Weight references (kg) for girls

 Age (years)  p3 p5 p10 p25 p50 p75 p90 p95 p97
0 2.48 2.57 2.72 2.97 3.24 3.51 3.76 3.91 4.00
0.25 4.44 4.60 4.87 5.31 5.81 6.32 6.78 7.07 7.25
0.5 5.94 6.12 6.42 6.92 7.49 8.08 8.63 8.97 9.19
0.75 6.90 7.09 7.41 7.95 8.56 9.21 9.82 10.21 10.45
1 7.74 7.93 8.25 8.80 9.44 10.12 10.76 11.17 11.43
1.5 8.90 9.12 9.49 10.12 10.86 11.63 12.38 12.85 13.15
2 9.90 10.15 10.57 11.28 12.12 13.00 13.84 14.37 14.71
3 11.70 11.99 12.48 13.34 14.37 15.50 16.62 17.35 17.82
4 13.36 13.70 14.28 15.31 16.58 18.01 19.48 20.46 21.11
5 14.90 15.31 16.00 17.26 18.85 20.71 22.69 24.05 24.97
6 16.86 17.31 18.08 19.48 21.27 23.38 25.65 27.24 28.31
7 18.51 19.05 19.99 21.72 23.97 26.68 29.66 31.77 33.23
8 20.43 21.07 22.19 24.30 27.06 30.44 34.24 36.99 38.91
9 22.55 23.31 24.64 27.14 30.42 34.43 38.94 42.19 44.45
10 24.70 25.62 27.23 30.25 34.23 39.13 44.64 48.62 51.39
11 27.31 28.42 30.34 33.97 38.77 44.66 51.26 56.01 59.31
12 30.09 31.44 33.76 38.06 43.56 50.05 56.98 61.75 64.96
13 41.70 42.89 44.92 48.58 53.15 58.39 63.87 67.58 70.05
14 38.99 40.27 42.44 46.39 51.35 57.09 63.12 67.22 69.96
15 41.70 42.89 44.92 48.58 53.15 58.39 63.87 67.58 70.05
16 43.58 44.71 46.64 50.13 54.52 59.60 64.97 68.65 71.11
17 44.35 45.48 47.41 50.92 55.37 60.56 66.11 69.94 72.52
18 44.61 45.75 47.70 51.27 55.78 61.05 66.70 70.60 73.23

Legend: Kg – kilograms; p3 – 3rd percentile; p5 – 5th percentile; p10 – 10th percentile; p25 – 25th percentile; p50 – 50th percentile; p75 – 75th percentile; p90 – 90th percentile; p95 – 95th percentile, p97 – 97th percentile.

While weight centiles are useful, the recent recommendations are for the employment of BMI for weight disturbances definitions, especially after the age of 10 years. In Tables 6 and 7 the common used BMI centiles can be found and Figure 3 shows the corresponding charts.

Figure 3.

Figure 3.

Synthetic BMI centiles Legend - p3 – 3rd percentile, p5 – 5th percentile, p10 – 10th percentile, p25 – 25th percentile, p50 – 50th percentile, p75 – 75th percentile, p90 – 90th percentile, p95 – 95th percentile, p97 – 97th percentile.

Table 6.

BMI reference (kg/m2) for boys

Age (years) p3 p5 p10 p25 p50 p75 p90 p95 p97
0 11.35 11.56 11.91 12.51 13.19 13.92 14.62 15.06 15.34
0.25 14.55 14.81 15.23 15.96 16.80 17.70 18.55 19.10 19.44
0.5 15.10 15.37 15.81 16.58 17.48 18.43 19.35 19.94 20.32
0.75 15.06 15.35 15.82 16.64 17.61 18.65 19.66 20.32 20.74
1 14.91 15.19 15.66 16.47 17.44 18.48 19.51 20.18 20.61
1.5 14.45 14.71 15.16 15.95 16.89 17.92 18.95 19.62 20.06
2 14.13 14.38 14.80 15.53 16.41 17.38 18.35 18.99 19.40
3 14.05 14.27 14.64 15.28 16.06 16.92 17.79 18.36 18.74
4 13.94 14.15 14.48 15.08 15.81 16.61 17.43 17.97 18.32
5 13.76 13.96 14.30 14.90 15.65 16.48 17.35 17.92 18.31
6 13.72 13.93 14.29 14.93 15.73 16.65 17.62 18.28 18.73
7 13.74 13.97 14.36 15.08 15.99 17.06 18.23 19.06 19.62
8 13.97 14.21 14.63 15.39 16.38 17.56 18.88 19.82 20.48
9 14.34 14.59 15.02 15.83 16.88 18.17 19.62 20.68 21.43
10 14.72 15.00 15.46 16.34 17.48 18.90 20.52 21.73 22.60
11 15.17 15.46 15.95 16.88 18.11 19.64 21.41 22.74 23.70
12 15.51 15.82 16.35 17.35 18.67 20.31 22.23 23.66 24.70
13 16.02 16.34 16.90 17.94 19.33 21.07 23.10 24.63 25.74
14 16.47 16.81 17.41 18.52 19.99 21.83 23.97 25.58 26.74
15 17.06 17.41 18.01 19.14 20.60 22.40 24.45 25.95 27.02
16 17.61 17.96 18.57 19.71 21.20 23.01 25.07 26.58 27.64
17 17.99 18.35 18.98 20.14 21.66 23.52 25.62 27.16 28.24
18 18.15 18.53 19.18 20.38 21.95 23.86 26.01 27.57 28.67

Legend: BMI – body mass index; kg/m2 – kilograms/square meters; p3 – 3rd percentile; p5 – 5th percentile; p10 – 10th percentile; p25 – 25th percentile; p50 – 50th percentile; p75 – 75th percentile; p90 – 90th percentile; p95 – 95th percentile; p97 – 97th percentile.

Table 7.

BMI reference (kg/m2) for girls

 Age (years)  p3 p5 p10 p25 p50 p75 p90 p95 p97
0 11.26 11.45 11.77 12.31 12.94 13.60 14.23 14.62 14.87
0.25 13.62 13.87 14.28 14.99 15.81 16.69 17.53 18.06 18.40
0.5 14.44 14.70 15.12 15.85 16.70 17.62 18.51 19.08 19.44
0.75 14.61 14.87 15.30 16.07 16.97 17.96 18.93 19.56 19.97
1 14.56 14.82 15.25 16.00 16.90 17.89 18.86 19.50 19.91
1.5 14.20 14.44 14.85 15.58 16.47 17.46 18.48 19.15 19.60
2 13.92 14.15 14.53 15.22 16.07 17.04 18.05 18.73 19.18
3 13.67 13.88 14.25 14.91 15.73 16.67 17.65 18.33 18.78
4 13.59 13.79 14.14 14.77 15.57 16.49 17.49 18.18 18.65
5 13.39 13.61 13.97 14.64 15.49 16.50 17.61 18.40 18.94
6 13.46 13.67 14.04 14.72 15.59 16.64 17.80 18.64 19.23
7 13.46 13.70 14.11 14.87 15.85 17.06 18.42 19.42 20.12
8 13.69 13.95 14.39 15.21 16.28 17.57 19.02 20.08 20.82
9 13.95 14.23 14.70 15.58 16.73 18.12 19.68 20.82 21.62
10 14.30 14.60 15.12 16.08 17.34 18.88 20.61 21.88 22.77
11 14.72 15.04 15.60 16.65 18.01 19.67 21.55 22.92 23.88
12 15.04 15.41 16.05 17.24 18.81 20.76 22.99 24.64 25.81
13 15.60 15.99 16.65 17.90 19.54 21.58 23.92 25.66 26.89
14 16.32 16.69 17.34 18.55 20.12 22.03 24.19 25.75 26.85
15 16.94 17.30 17.92 19.06 20.52 22.28 24.20 25.58 26.52
16 17.31 17.67 18.29 19.41 20.83 22.50 24.30 25.56 26.41
17 17.51 17.86 18.47 19.57 20.96 22.60 24.35 25.56 26.39
18 17.57 17.92 18.53 19.63 21.00 22.60 24.29 25.45 26.24

Legend: BMI – body mass index; kg/m2 – kilograms/square meters; p3 – 3rd percentile; p5 – 5th percentile; p10 – 10th percentile; p25 – 25th percentile; p50 – 50th percentile; p75 – 75th percentile; p90 – 90th percentile; p95 – 95th percentile; p97 – 97th percentile.

A comparison between the new Romanian synthetic BMI references and the common used references world-wide (WHO and IOTF) shows there are statistically significant differences between these references (p<0.0001).

The maximum differences for boys are 1.17 kg/sqm at age 11.1 years between the Romanian and WHO references and 1.48 kg/sqm (14 years) for the IOTF comparison. The minimum corresponding differences are 0.04 kg/sqm at 5 months (WHO) and 0.001 at 2.5years (IOTF).

For girls these maximum differences are of 0.91 kg/sqm at 2 months (WHO), respectively 1.14 kg/sqm at 12 years (IOTF). The smallest difference was 0.007 kg/sqm at 16.6 years for the WHO and 0.003 kg/sqm at 3.4 years for the IOTF.

On average the new Romanian synthetic references show that boys have a 0.68±0.31 kg/sqm higher BMI than the WHO and 0.9±0.53 kg/sqm than the IOTF reference population. For girls the same average differences are 0.41±0.32kg/sqm for the WHO reference and 0.63±0.38kg/sqm for the IOTF standard (Fig. 4b).

DISCUSSION

From 1997 to 2003, the WHO performed a Multicenter Growth Study collecting data from six countries (United States, Brazil, Ghana, India, Norway, and Oman) on the growth of children from affluent families. The key assumption was that “environmental differences rather than genetic endowments are the principal determinants of disparities in physical growth” (15). These children were exclusively or predominantly breastfed for at least 4-6 months, complementary foods were introduced by 6 months of age, and breastfeeding was continued to at least 12 months of age, and they showed similar growth patterns. Since it was considered not feasible to perform similar longitudinal growth studies in older children, WHO developed a growth reference based on the 1977 USA growth study as an international “normative”, though in fact descriptive, chart from 5 to 19 years of age (16).

Previous clinical experience in Romanian children strongly questions that WHO standards/references are truly suitable for the Romanian population. Particularly in view of current secular trends in height and the marked economic progress in Romania, it appeared desirable to actualize previous National Romanian growth charts.

Recent meta-analyses of historic data (17) summarized currently known empirical data on a century of trends in global adult human height from 1914 to 2014 and reports variation between and within populations of up to 20 cm. This proves the need for up to date growth curves.

The aim of this study was to derive synthetic national growth references for the Romanian population. This approach has been proven cost-effective and in statistical agreement with the classical studies for constructing growth charts and has been used in countries where recent growth charts are not available (Georgia, Kazakhstan) (18) or for specific ethnic sub-populations (19).

There are previous regional studies aiming to provide new growth references (2,3), but there is no recent one with a national representative sample.

Limitations of the studies include: all data are from school measurements, which are subject to sampling error. Medical history was not analyzed, therefore children with conditions which might impair normal growth and development were not excluded. The majority of the studies consisted of children from urban areas. It is worth mentioning that in one sub-study (data from Targu Mures) children in urban areas have higher odds of being short, but not overweight comparing to their rural counterparts (20). Further studies regarding the existing ethnic and maybe regional differences are needed. According to the latest census, 3% of the Romanian population is of Rromanes ethnicity (21), almost the same percentage as the Turkish population in Germany (22). In Germany (19) and also in the Netherlands (23, 24), special growth charts are available for ethnic minorities.

In conclusion, we suggest synthetic growth references based upon recent growth data from 6 different Romanian regions as new National Growth Charts for Romanian children.

Conflict of interest

The authors declare that they have no conflict of interest concerning this article.

Acknowledgement

The project was an initiative of the pediatric endocrinology working group of the Romanian Endocrine Society and was partially supported by the Romanian Society of Endocrinology, Sandoz Pharma Services S.R.L. (SLCM 2530_16.04.2015) and the Internal Research Grants of the University of Medicine and Pharmacy Tîrgu Mures, Romania (Internal Grant—Collective research, no. 17802/1/22.12.2015).

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