Computing z-scores for 5-19 years

Abhijit P Pakhare

Anthropometric Indicators

Three key indicators

  • Weight-for-Age (up to 10 years)

  • Height-for-Age (5- 19 years)

  • BMI-for-Age (5-19 years)

Other indicators such as MUAC, Waist and Hip Circumference

Available tools

Practice Data set-3

Mandatory columns

  • id- Unique ID for each row

  • sex- Gender 1- Boys, 2-Girls

  • agemons- Age in months

  • weight- Weight in kgs and height- Height in cm

Other columns do not create problem

WHO 2007 z-score calculator (CPEG App)

Upload csv dataset with preset names

z-score outputs

  • zhfa- Height-for-Age (5- 19 years) (Stunting)

  • zwfa- Weight-for-Age (up to 10 years) (Underweight)

  • zbfa- BMI-for-Age (5-19 years) (Thinness)

  • flags- fhfa, fwfa, fbfa - extreme and non-plausible values

BMI-for-Age: Interpretation of cut-offs

  • Overweight: >+1SD (equivalent to BMI 25 kg/m2 at 19 years)

  • Obesity: >+2SD (equivalent to BMI 30 kg/m2 at 19 years)

  • Thinness: <-2SD

  • Severe thinness: <-3SD

Weight-for-Age: Interpretation of cut-offs

  • Underweight: <-2SD

  • Severe Underweight: <-3SD

Height-for-Age: Interpretation of cut-offs

  • Stunting: <-2SD

  • Severe Stunting: <-3SD

Further analysis

  • Export z-scores through download button (adds columns as shown earlier)

  • Import in other program

  • Categorize indicators as per cut-offs

  • Do further analysis

Demonstration with R package anthroplus

  • Install R software and RStudio IDE

  • Open RStudio

  • Open the R script for demonstration

  • Install required packages

anthroplus demo on R

Import data

# Load required packages (You should install them first and then you can load)
library(tidyverse)
library(anthroplus)

# Import dataset
df_anthro_plus_practice <- read.csv("https://raw.githubusercontent.com/drpakhare/Workshop-NDA/master/datasets_practice/3_dataset_practice_anthro_plus.csv")

View data

head(df_anthro_plus_practice)
  id sex Age agemons weight height District Cluster
1  1   1  19     228   66.0  173.4        2      42
2  2   1  17     204   65.0  164.8        2      68
3  3   1  19     228   63.0  164.0        2      54
4  4   1  17     204   63.0  168.8        3      90
5  5   1  18     216   61.5  164.0        3      84
6  6   1  18     216   61.0  163.1        2      64

z-score calculation

df_z_scores <- anthroplus_zscores(
  sex = df_anthro_plus_practice$sex,
  age_in_months = df_anthro_plus_practice$agemons,
  oedema = "n",
  height_in_cm = df_anthro_plus_practice$height,
  weight_in_kg = df_anthro_plus_practice$weight
)
  • df_z_scores is a dataframe containing z-scores
head(df_z_scores)
  age_in_months csex coedema     cbmi  zhfa zwfa  zbfa fhfa fwfa fbfa
1           228    1       n 21.95057 -0.43   NA -0.08    0   NA    0
2           204    1       n 23.93310 -1.36   NA  0.91    0   NA    0
3           228    1       n 23.42356 -1.72   NA  0.41    0   NA    0
4           204    1       n 22.11035 -0.83   NA  0.34    0   NA    0
5           216    1       n 22.86585 -1.63   NA  0.39    0   NA    0
6           216    1       n 22.93094 -1.75   NA  0.42    0   NA    0

Export z-scores

write.csv(df_z_scores, file = "anthro_plus_z_scores.csv")

Prevalence calculations

df_results <- anthroplus_prevalence(
  sex = df_anthro_plus_practice$sex,
  age_in_months = df_anthro_plus_practice$agemons,
  oedema = "n",
  height_in_cm = df_anthro_plus_practice$height,
  weight_in_kg = df_anthro_plus_practice$weight,
  sw = NULL,
  cluster = NULL,
  strata = NULL
)
  • Output or results are similar to Anthro Survey Analyser stored in a dataframe

Output details

The result columns are coded with a prefix, a prevalence indicator and a suffix:

Prefix:

HA - Height-for-Age, WA- Weight-for-Age and BMI- BMI-for-Age

Prevalence indicator:

_3 : Prevalence corresponding to < -3 SD

_2 : Prevalence corresponding to < -2 SD

2 : Prevalence corresponding to > +2 SD

3 :Prevalence corresponding to > +3 SD

Output details

Suffix:

_pop : Weighted sample size

_unwpop : Unweighted sample size

_r : Mean/prevalence

_ll : lower 95% confidence interval limit

_ul : upper 95% confidence interval limit

_stdev : Standard Deviation

_se : Standard error

Prevalence Calculations- View results

Group Years Months HAZ_pop HAZ_unwpop HA_3_r HA_3_se HA_3_ll HA_3_ul HA_2_r HA_2_se HA_2_ll HA_2_ul HA_1_r HA_1_se HA_1_ll HA_1_ul HA1_r HA1_se HA1_ll HA1_ul HA2_r HA2_se HA2_ll HA2_ul HA3_r HA3_se HA3_ll HA3_ul HA_r HA_se HA_ll HA_ul HA_stdev WAZ_pop WAZ_unwpop WA_3_r WA_3_se WA_3_ll WA_3_ul WA_2_r WA_2_se WA_2_ll WA_2_ul WA_1_r WA_1_se WA_1_ll WA_1_ul WA1_r WA1_se WA1_ll WA1_ul WA2_r WA2_se WA2_ll WA2_ul WA3_r WA3_se WA3_ll WA3_ul WA_r WA_se WA_ll WA_ul WA_stdev BMIZ_pop BMIZ_unwpop BMI_3_r BMI_3_se BMI_3_ll BMI_3_ul BMI_2_r BMI_2_se BMI_2_ll BMI_2_ul BMI_1_r BMI_1_se BMI_1_ll BMI_1_ul BMI1_r BMI1_se BMI1_ll BMI1_ul BMI2_r BMI2_se BMI2_ll BMI2_ul BMI3_r BMI3_se BMI3_ll BMI3_ul BMI_r BMI_se BMI_ll BMI_ul BMI_stdev
All Total (5-19) (60-228) 2025 2025 6.913580 0.5638834 5.8863107 8.104689 29.18519 1.010504 27.24369 31.20570 68.69136 1.030808 66.63519 70.67657 1.3333333 0.2549466 9.156241e-01 1.937875e+00 0.3456790 0.1304606 1.647809e-01 7.237291e-01 0.04938272 0.04938270 6.944298e-03 3.502649e-01 -1.4760247 0.02367850 -1.522461 -1.4295879 1.0655327 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2011 2011 13.873695 0.7710190 12.429568 15.455993 35.90254 1.070001 33.832168 38.02679 69.31875 1.028639 67.26536 71.29829 0.5967181 0.1717853 3.390223e-01 1.048232e+00 0.1491795 0.0860858 4.807562e-02 4.619241e-01 0 0 2.889450e-10 2.911997e-10 -1.664674 0.02646049 -1.716567 -1.612782 1.1866013
Sex: Female Total (5-19) (60-228) 1149 1149 5.831158 0.6914776 4.6140196 7.344644 28.11140 1.326534 25.58458 30.78455 67.27589 1.384557 64.50506 69.93125 1.3925152 0.3457817 8.544460e-01 2.261693e+00 0.4351610 0.1942339 1.811067e-01 1.041880e+00 0.00000000 0.00000000 2.792300e-10 3.013311e-10 -1.4315057 0.03073589 -1.491783 -1.3712284 1.0420482 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1147 1147 12.292938 0.9697741 10.514013 14.324669 32.86835 1.387325 30.207206 35.64421 66.34699 1.395558 63.55771 69.02682 0.6974717 0.2457926 3.489737e-01 1.389141e+00 0.1743679 0.1232196 4.356228e-02 6.952153e-01 0 0 2.792086e-10 3.013542e-10 -1.568282 0.03447379 -1.635890 -1.500675 1.1677583
Sex: Male Total (5-19) (60-228) 876 876 8.333333 0.9340502 6.6751520 10.357709 30.59361 1.557292 27.62745 33.72980 70.54795 1.540477 67.43947 73.47638 1.2557078 0.3763183 6.963857e-01 2.254068e+00 0.2283105 0.1612953 5.704048e-02 9.091587e-01 0.11415525 0.11411823 1.605148e-02 8.070122e-01 -1.5344178 0.03693144 -1.606845 -1.4619902 1.0934254 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 864 864 15.972222 1.2466496 13.676051 18.570976 39.93056 1.666594 36.711290 43.23925 73.26389 1.506067 70.20891 76.11218 0.4629630 0.2310020 1.737227e-01 1.227851e+00 0.1157407 0.1157023 1.627438e-02 8.181546e-01 0 0 2.757716e-10 3.051101e-10 -1.792639 0.04080875 -1.872670 -1.712607 1.1999259
Age Group 1: 60-71 mo 5 (60-71) 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
Age Group 1: 72-83 mo 6 (72-83) 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
Age Group 1: 84-95 mo 7 (84-95) 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
Age Group 1: 96-107 mo 8 (96-107) 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
Age Group 1: 108-119 mo 9 (108-119) 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
Age Group 1: 120-131 mo 10 (120-131) 305 305 1.311475 0.6515843 0.4926827 3.443930 14.09836 1.993160 10.62241 18.47661 51.80328 2.861835 46.19169 57.36974 4.5901639 1.1985824 2.735835e+00 7.603095e+00 1.3114754 0.6515843 4.926827e-01 3.443930e+00 0.32786885 0.32741169 4.608989e-02 2.292838e+00 -0.9690164 0.05976023 -1.086214 -0.8518185 1.0451248 305 305 10.819672 1.779094 7.792425 14.83377 50.81967 2.863313 45.21756 56.40128 83.27869 2.137270 78.65932 87.06261 1.3114754 0.6515843 0.4926827 3.443930 0 0 2.615422e-10 3.217098e-10 0 0 2.615422e-10 3.217098e-10 -1.825377 0.06147733 -1.945942 -1.704812 1.0751545 303 303 19.801980 2.2899288 15.689662 24.676677 45.54455 2.861704 40.011735 51.18959 72.60726 2.562675 67.30689 77.33764 0.6600660 0.4653090 1.649490e-01 2.602601e+00 0.0000000 0.0000000 2.614372e-10 3.218390e-10 0 0 2.614372e-10 3.218390e-10 -1.894422 0.07346567 -2.038499 -1.750346 1.2806087
Age Group 1: 132-143 mo 11 (132-143) 182 182 4.945055 1.6074756 2.5913582 9.233926 27.47253 3.309574 21.47505 34.41096 69.23077 3.421995 62.14921 75.50952 3.2967033 1.3238294 1.487497e+00 7.146763e+00 1.0989011 0.7729499 2.746798e-01 4.289941e+00 0.00000000 0.00000000 2.524969e-10 3.332345e-10 -1.3808791 0.08318873 -1.544023 -1.2177347 1.1250956 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 182 182 16.483516 2.7509487 11.768094 22.604325 39.56044 3.625456 32.713366 46.84294 71.97802 3.329820 65.01291 78.02522 1.6483516 0.9440331 5.320961e-01 4.988888e+00 0.5494505 0.5480742 7.721742e-02 3.799862e+00 0 0 2.524969e-10 3.332345e-10 -1.719560 0.09674142 -1.909283 -1.529837 1.3083906
Age Group 1: 144-155 mo 12 (144-155) 286 286 6.993007 1.5083910 4.5538614 10.593607 31.81818 2.754838 26.67500 37.44658 68.53147 2.746676 62.91403 73.65434 1.3986014 0.6945646 5.254751e-01 3.668999e+00 0.3496503 0.3491247 4.915049e-02 2.442473e+00 0.00000000 0.00000000 2.605055e-10 3.229901e-10 -1.4565734 0.06312416 -1.580368 -1.3327784 1.0691338 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 281 281 18.505338 2.3172190 14.383300 23.484656 43.77224 2.960253 38.076833 49.63668 77.22420 2.502462 71.95007 81.75808 0.3558719 0.3553258 5.002467e-02 2.485153e+00 0.0000000 0.0000000 2.602170e-10 3.233481e-10 0 0 2.602170e-10 3.233481e-10 -1.901815 0.07024751 -2.039580 -1.764050 1.1793727
Age Group 1: 156-167 mo 13 (156-167) 217 217 12.442396 2.2411774 8.6698164 17.541282 38.70968 3.307372 32.45542 45.35978 71.88940 3.052423 65.53771 77.47281 0.4608295 0.4598799 6.477010e-02 3.201155e+00 0.0000000 0.0000000 2.557727e-10 3.289667e-10 0.00000000 0.00000000 2.557727e-10 3.289667e-10 -1.6488018 0.07584110 -1.797537 -1.5000672 1.1195160 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 212 212 16.037736 2.5208838 11.685409 21.614379 40.09434 3.366780 33.705773 46.83828 75.47170 2.955732 69.22805 80.79986 1.8867925 0.9346845 7.093628e-01 4.921694e+00 0.4716981 0.4707004 6.629681e-02 3.274868e+00 0 0 2.553507e-10 3.295103e-10 -1.781981 0.08509616 -1.948866 -1.615096 1.2416450
Age Group 1: 168-179 mo 14 (168-179) 221 221 15.384615 2.4276105 11.2000314 20.767020 43.43891 3.335104 37.04765 50.05605 78.73303 2.753229 72.83840 83.63581 0.0000000 0.0000000 2.561007e-10 3.285453e-10 0.0000000 0.0000000 2.561007e-10 3.285453e-10 0.00000000 0.00000000 2.561007e-10 3.285453e-10 -1.8318552 0.07164730 -1.972365 -1.6913451 1.0672683 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 221 221 17.194570 2.5388444 12.768344 22.754923 43.43891 3.335104 37.047653 50.05605 72.85068 2.992315 66.60462 78.30897 0.0000000 0.0000000 2.561007e-10 3.285453e-10 0.0000000 0.0000000 2.561007e-10 3.285453e-10 0 0 2.561007e-10 3.285453e-10 -1.785023 0.08207322 -1.945979 -1.624066 1.2225743
Age Group 1: 180-191 mo 15 (180-191) 223 223 8.071749 1.8245806 5.1423460 12.450883 30.04484 3.070786 24.38490 36.38633 69.95516 3.070786 63.61367 75.61510 0.4484305 0.4475343 6.302837e-02 3.116965e+00 0.0000000 0.0000000 2.562617e-10 3.283389e-10 0.00000000 0.00000000 2.562617e-10 3.283389e-10 -1.5757399 0.07326478 -1.719422 -1.4320577 1.0962673 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 221 221 13.574661 2.3046026 9.653620 18.757664 31.67421 3.130086 25.875904 38.10390 64.70588 3.215393 58.17636 70.72892 0.0000000 0.0000000 2.561007e-10 3.285453e-10 0.0000000 0.0000000 2.561007e-10 3.285453e-10 0 0 2.561007e-10 3.285453e-10 -1.588462 0.07955142 -1.744473 -1.432450 1.1850092
Age Group 1: 192-203 mo 16 (192-203) 187 187 5.882353 1.7210656 3.2855080 10.312863 26.20321 3.216491 20.39733 32.97706 66.84492 3.443464 59.78394 73.22146 0.0000000 0.0000000 2.530158e-10 3.325511e-10 0.0000000 0.0000000 2.530158e-10 3.325511e-10 0.00000000 0.00000000 2.530158e-10 3.325511e-10 -1.5120856 0.07151545 -1.652337 -1.3718341 0.9803425 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 186 186 8.602151 2.0564691 5.334403 13.584404 30.10753 3.364367 23.944369 37.08356 63.97849 3.520859 56.82754 70.55864 0.5376344 0.5363195 7.555794e-02 3.720341e+00 0.0000000 0.0000000 2.529136e-10 3.326856e-10 0 0 2.529136e-10 3.326856e-10 -1.476183 0.07850928 -1.630150 -1.322215 1.0733489
Age Group 1: 204-215 mo 17 (204-215) 144 144 4.166667 1.6656302 1.8825350 8.968866 27.77778 3.733448 21.07393 35.65091 76.38889 3.539967 68.76614 82.62142 0.0000000 0.0000000 2.477866e-10 3.395692e-10 0.0000000 0.0000000 2.477866e-10 3.395692e-10 0.00000000 0.00000000 2.477866e-10 3.395692e-10 -1.5947917 0.07363615 -1.739202 -1.4503812 0.8864993 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 145 145 3.448276 1.5156683 1.441458 8.021617 24.13793 3.554557 17.860615 31.76820 60.00000 4.069385 51.82268 67.65563 0.6896552 0.6874425 9.690429e-02 4.736292e+00 0.6896552 0.6874425 9.690429e-02 4.736292e+00 0 0 2.479318e-10 3.393703e-10 -1.315034 0.08497109 -1.481674 -1.148395 1.0264807
Age Group 1: 216-227 mo 18 (216-227) 172 172 4.069767 1.5069730 1.9511984 8.294049 27.32558 3.398744 21.18505 34.46760 73.25581 3.375815 66.14404 79.34030 0.0000000 0.0000000 2.513980e-10 3.346912e-10 0.0000000 0.0000000 2.513980e-10 3.346912e-10 0.00000000 0.00000000 2.513980e-10 3.346912e-10 -1.5012209 0.06434470 -1.627410 -1.3750323 0.8461279 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 172 172 4.651163 1.6061326 2.341520 9.028389 19.18605 3.003163 13.969583 25.76700 61.04651 3.719174 53.55759 68.04827 0.0000000 0.0000000 2.513980e-10 3.346912e-10 0.0000000 0.0000000 2.513980e-10 3.346912e-10 0 0 2.513980e-10 3.346912e-10 -1.289360 0.06960969 -1.425875 -1.152846 0.9153622
Age Group 1: 228-228 mo 19 (228-228) 88 88 4.545455 2.2210216 1.7150761 11.500243 27.27273 4.748744 18.99468 37.48883 72.72727 4.748744 62.51117 81.00532 1.1363636 1.1301674 1.595822e-01 7.634704e+00 0.0000000 0.0000000 2.364184e-10 3.558975e-10 0.00000000 0.00000000 2.364184e-10 3.558975e-10 -1.6006818 0.10709018 -1.810700 -1.3906634 1.0101028 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 88 88 6.818182 2.6876066 3.093124 14.364370 15.90909 3.899986 9.650129 25.09979 57.95455 5.263433 47.43460 67.79838 0.0000000 0.0000000 2.364184e-10 3.558975e-10 0.0000000 0.0000000 2.364184e-10 3.558975e-10 0 0 2.364184e-10 3.558975e-10 -1.317500 0.09194379 -1.497814 -1.137186 0.8672380
Age Group 2: 60-119 mo Total (5-9) (60-119) 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
Age Group 2: 120-179 mo Total (10-14) (120-179) 1211 1211 7.762180 0.7690976 6.3818041 9.411115 30.05780 1.317903 27.53816 32.70393 66.88687 1.352713 64.18255 69.48409 2.0644096 0.4086987 1.398201e+00 3.038269e+00 0.5780347 0.2178980 2.756401e-01 1.208156e+00 0.08257638 0.08256265 1.161159e-02 5.847097e-01 -1.4253344 0.03219957 -1.488482 -1.3621867 1.1207129 305 305 10.819672 1.779094 7.792425 14.83377 50.81967 2.863313 45.21756 56.40128 83.27869 2.137270 78.65932 87.06261 1.3114754 0.6515843 0.4926827 3.443930 0 0 2.615422e-10 3.217098e-10 0 0 2.615422e-10 3.217098e-10 -1.825377 0.06147733 -1.945942 -1.704812 1.0751545 1199 1199 17.848207 1.1061229 15.781047 20.121450 42.86906 1.429569 40.091186 45.69260 74.14512 1.264766 71.58844 76.54711 0.8340284 0.2627056 4.490885e-01 1.543806e+00 0.1668057 0.1178801 4.167283e-02 6.651800e-01 0 0 2.797554e-10 3.007652e-10 -1.829566 0.03592601 -1.900022 -1.759111 1.2442069
Age Group 2: 180-228 mo Total (15-19) (180-228) 814 814 5.651106 0.8095246 4.2577897 7.464820 27.88698 1.572181 24.91046 31.07198 71.37592 1.584662 68.17013 74.38018 0.2457002 0.1735656 6.138569e-02 9.780156e-01 0.0000000 0.0000000 2.750453e-10 3.059158e-10 0.00000000 0.00000000 2.750453e-10 3.059158e-10 -1.5514373 0.03410836 -1.618328 -1.4845462 0.9734929 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 812 812 8.004926 0.9525551 6.324819 10.083292 25.61576 1.532227 22.727893 28.73413 62.19212 1.702111 58.80105 65.46799 0.2463054 0.1739925 6.153691e-02 9.804109e-01 0.1231527 0.1231072 1.731643e-02 8.702197e-01 0 0 2.750152e-10 3.059492e-10 -1.421195 0.03684849 -1.493459 -1.348930 1.0504084
Age + Sex: Female.60-119 mo Total (5-9) (60-119) 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
Age + Sex: Male.60-119 mo Total (5-9) (60-119) 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
Age + Sex: Female.120-179 mo Total (10-14) (120-179) 645 645 7.751938 1.0532005 5.9224218 10.086026 31.16279 1.824136 27.70214 34.84738 66.97674 1.852249 63.24866 70.50301 2.3255814 0.5935858 1.406152e+00 3.822880e+00 0.7751938 0.3454161 3.227826e-01 1.849935e+00 0.00000000 0.00000000 2.721480e-10 3.091725e-10 -1.4182791 0.04479998 -1.506138 -1.3304202 1.1383804 173 173 12.716763 2.533599 8.518576 18.56408 54.33526 3.788048 46.86514 61.61534 83.23699 2.840653 76.91035 88.09837 1.7341040 0.9927116 0.5598307 5.241642 0 0 2.515118e-10 3.345397e-10 0 0 2.515118e-10 3.345397e-10 -1.830867 0.08671229 -2.000922 -1.660812 1.1435506 642 642 17.757009 1.5085996 14.988727 20.910806 42.36760 1.950697 38.594848 46.23149 73.52025 1.741807 69.96679 76.79272 1.0903427 0.4099591 5.203469e-01 2.270470e+00 0.1557632 0.1556803 2.190090e-02 1.098824e+00 0 0 2.720886e-10 3.092400e-10 -1.801604 0.04945350 -1.898589 -1.704619 1.2537064
Age + Sex: Male.120-179 mo Total (10-14) (120-179) 566 566 7.773852 1.1257556 5.8336797 10.288785 28.79859 1.903833 25.21322 32.67106 66.78445 1.980192 62.79396 70.54769 1.7667845 0.5538854 9.526976e-01 3.253663e+00 0.3533569 0.2494808 8.828794e-02 1.403073e+00 0.17667845 0.17656586 2.484103e-02 1.245044e+00 -1.4333746 0.04625671 -1.524090 -1.3426589 1.1011836 132 132 8.333333 2.406220 4.672406 14.42852 46.21212 4.340506 37.88895 54.75192 83.33333 3.244546 75.97487 88.77113 0.7575758 0.7548869 0.1064389 5.185260 0 0 2.459279e-10 3.421355e-10 0 0 2.459279e-10 3.421355e-10 -1.818182 0.08521821 -1.985306 -1.651057 0.9825701 557 557 17.953321 1.6266063 14.981201 21.366892 43.44704 2.100813 39.381256 47.60295 74.86535 1.838469 71.09161 78.29686 0.5385996 0.3101986 1.736482e-01 1.657822e+00 0.1795332 0.1794162 2.524232e-02 1.264977e+00 0 0 2.702484e-10 3.113458e-10 -1.861795 0.05223124 -1.964228 -1.759363 1.2335053
Age + Sex: Female.180-228 mo Total (15-19) (180-228) 504 504 3.373016 0.8043597 2.1061006 5.360308 24.20635 1.908416 20.66244 28.14248 67.65873 2.084166 63.44464 71.60445 0.1984127 0.1982647 2.789613e-02 1.396660e+00 0.0000000 0.0000000 2.689117e-10 3.128933e-10 0.00000000 0.00000000 2.689117e-10 3.128933e-10 -1.4484325 0.04027105 -1.527410 -1.3694556 0.9047578 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 505 505 5.346535 1.0013039 3.690506 7.686361 20.79208 1.806320 17.471079 24.55652 57.22772 2.202145 52.86469 61.48116 0.1980198 0.1978725 2.784090e-02 1.393922e+00 0.1980198 0.1978725 2.784090e-02 1.393922e+00 0 0 2.689386e-10 3.128621e-10 -1.271663 0.04320720 -1.356399 -1.186928 0.9716840
Age + Sex: Male.180-228 mo Total (15-19) (180-228) 310 310 9.354839 1.6543095 6.5763938 13.142014 33.87097 2.688662 28.81350 39.32574 77.41935 2.375304 72.42572 81.73669 0.3225806 0.3221394 4.534680e-02 2.256459e+00 0.0000000 0.0000000 2.618006e-10 3.213923e-10 0.00000000 0.00000000 2.618006e-10 3.213923e-10 -1.7189032 0.05990370 -1.836383 -1.6014239 1.0561581 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 307 307 12.377850 1.8800419 9.136542 16.559492 33.55049 2.695462 28.485578 39.02454 70.35831 2.607037 65.00517 75.20492 0.3257329 0.3252822 4.578975e-02 2.278147e+00 0.0000000 0.0000000 2.616462e-10 3.215819e-10 0 0 2.616462e-10 3.215819e-10 -1.667166 0.06426834 -1.793205 -1.541127 1.1276325

WHO Anthro-Plus Software

  • Works on Windows

  • Requires dot net framework to be installed

  • Available free and can be downloaded from here

Anthro-Plus Data Format

Anthro-Plus - Open Nutrition Survey

Anthro-Plus Import File

Anthro-Plus Import File

Anthro-Plus - Field mapping

Anthro-Plus- z-scores and cluster report

Queries?

Thank You