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2.1: Anthropometric Indicators Measurement Guide - Linkages Project

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REFERENCES PART 9.<br />

Weight (kg) for age distribution by standard deviation for boys<br />

Age Group<br />

(months)<br />

Lower<br />

S.D.<br />

-3<br />

S.D.<br />

-2<br />

S.D.<br />

-1<br />

S.D.<br />

Mean<br />

+1<br />

S.D.<br />

+2<br />

S.D.<br />

+3<br />

S.D.<br />

Upper<br />

S.D.<br />

12<br />

13<br />

14<br />

15<br />

16<br />

17<br />

18<br />

19<br />

20<br />

21<br />

22<br />

23<br />

24<br />

1.0<br />

1.0<br />

1.1<br />

1.1<br />

1.1<br />

1.1<br />

1.2<br />

1.2<br />

1.2<br />

1.3<br />

1.3<br />

1.3<br />

1.1<br />

7.1<br />

7.3<br />

7.5<br />

7.6<br />

7.7<br />

7.8<br />

7.9<br />

8.0<br />

8.1<br />

8.3<br />

8.4<br />

8.5<br />

9.0<br />

8.1<br />

8.3<br />

8.5<br />

8.7<br />

8.8<br />

9.0<br />

9.1<br />

9.2<br />

9.4<br />

9.5<br />

9.7<br />

9.8<br />

10.1<br />

9.1<br />

9.4<br />

9.6<br />

9.8<br />

10.0<br />

10.1<br />

10.3<br />

10.5<br />

10.6<br />

10.8<br />

10.9<br />

11.1<br />

11.2<br />

10.2<br />

10.4<br />

10.7<br />

10.9<br />

11.1<br />

11.3<br />

11.5<br />

11.7<br />

11.8<br />

12.0<br />

12.2<br />

12.4<br />

12.3<br />

11.3<br />

11.5<br />

11.8<br />

12.0<br />

12.3<br />

12.5<br />

12.7<br />

12.9<br />

13.1<br />

13.3<br />

13.5<br />

13.7<br />

14.0<br />

12.4<br />

12.7<br />

13.0<br />

13.2<br />

13.5<br />

13.7<br />

13.9<br />

14.1<br />

14.4<br />

14.6<br />

14.8<br />

15.0<br />

15.7<br />

13.5<br />

13.8<br />

14.1<br />

14.4<br />

14.7<br />

14.9<br />

15.2<br />

15.4<br />

15.6<br />

15.8<br />

16.0<br />

16.2<br />

17.4<br />

1.1<br />

1.1<br />

1.2<br />

1.2<br />

1.2<br />

1.2<br />

1.2<br />

1.2<br />

1.3<br />

1.3<br />

1.3<br />

1.3<br />

1.7<br />

standards for weight-for-age we see that<br />

the “average” healthy boy of 19 months<br />

should weigh 11.7 kilograms. Since this<br />

child is obviously under the mean of 11.7<br />

kilograms, we need to check the lower<br />

standard deviation value (remember: with<br />

weight-for-age the lower and upper<br />

standard deviations might differ!). It is 1.2<br />

kilograms. With these two pieces of<br />

information, we can calculate the Z-score<br />

of a child’s weight-for-age, using the<br />

following procedures:<br />

Subtract the mean weight from the actual<br />

weight of the child. The results in this case<br />

will be negative.<br />

Example: 9.8 kg - 11.7 kg = -1.9<br />

Divide the result by the standard deviation<br />

for the child’s age and gender.<br />

Example: -1.9 / 1.2 sd = -1.58 SD units<br />

The resulting number is the Z-score for<br />

that child.<br />

Example: The Z-score for a 19 month old<br />

boy who weighs 9.8 kg is -1.58 standard<br />

deviation units.<br />

This procedure can be repeated with the<br />

appropriate graphs or tables to calculate<br />

the Z-scores for length-for-age and<br />

weight-for-height.<br />

Percent of the Median<br />

Procedure<br />

For this example, we will assume we have<br />

just measured the length of a girl who is<br />

24 months old. This girl is 64.9 cm long.<br />

We want to use percentages of the median<br />

to compare her to the reference standards.<br />

Using the percentile distribution for the<br />

appropriate index (weight-for-age, lengthfor-age<br />

or weight-for-length) and sex, find<br />

the measurement that corresponds to the<br />

50th percentile (remember the 50th<br />

percentile is the same as the median).<br />

Example: From a table of reference<br />

values we learn that the 50th percentile<br />

length measurement for a 24 month old<br />

girl is 86.5 cm.<br />

Divide the measurement of the individual child<br />

by the appropriate median measurement.<br />

Example: Our girl is 64.9 cm.<br />

The median value for girls is 86.5 cm.<br />

64.9 cm / 86.5 cm = .75<br />

Multiply this fraction by 100, to convert it<br />

to a percentage.<br />

Example: 0.75 x 100 = 75%<br />

9.<br />

65

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