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IAP vs ZScore Classification for Growth Charts

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Title: IAP vs ZScore Classification for Growth Charts


1
IAP vs Z-Score Classification for Growth Charts
  • A.K.Nigam
  • Director
  • Institute of Applied Statistics and Development
    Studies

2
  • Prevention and management of severely
    malnourished children is an important component
    of the ICDS and IMCI (Integrated Management of
    Children Illness) strategy. WHO also emphasizes
    on the management of severely malnourished
    children.
  • Prevalence of malnutrition in children is
    described in terms of the percentage of
    individuals below a specific cut-off, such as
    certain per cent of the median or standard
    deviation (sd) in terms of z scores of the
    reference population. Classifications like
    Gomezs or Indian Association of Pediatricians
    (IAP) are on the basis of cut - off points as
    percentage of median (reference) weight-for-age.

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  • NNMB/NIN reports (UNICEF also in some studies)
    nutritional status using each of these
    classifications with no inter-comparisons and
    guidelines about which one should be used for
    programme interventions.
  • SD classifications are now widely used by major
    stake holders like WHO, USAID among others. NFHS
    I, II, and the latest III, the largest national
    surveys, which form the basis for planning by
    policy makers and programme implementers, present
    nutritional status data in terms of sd
    classifications only.
  • One is therefore in a dilemma which
    classification to use.

5
  • Although sd classification has distinct
    statistical advantages over others, its use is
    not widespread, mainly because it is felt (though
    erroneously) that it involves relatively
    cumbersome calculations. Even research workers
    find them difficult, as it needs development of
    appropriate software for different indicators of
    nutritional status.
  • Because of this, ICDS uses IAP classification. At
    each AWC, the Anganwadi Worker has to prepare and
    monitor growth chart for each child. These charts
    are based upon IAP classification and use 60 of
    median (standard) weight-for-age for identifying
    severely malnourished children.
  • It is known that the prevalence of severe
    malnutrition as derived by ICDS functionaries is
    far below in comparison to that reported by NFHS
    and other nutrition surveys. Even for the same
    survey (say, NNMB/NIN) the prevalence of severe
    malnutrition using below 3sd cut-off is much
    higher in comparison to that obtained using IAP
    cut-off of 60 of median weight.

6
Gap between NCHS reference and IAP classification
in assessing severe undernutrition in boys
7
  • Nigam (2003) showed that 3sd cut-off matches with
    67 of median (standard) weight-for-age. One
    readily notices the rationale behind the gap in
    reporting by realizing that 3sd cut-off
    corresponds to 67 (instead of 60 as in IAP) of
    median (standard) weight-for-age.
  • The equivalence relation facilitates the use of
    sd classification under field conditions and also
    by research workers. The growth charts, in terms
    of both IAP and sd classifications are given in
    another paper by Nigam (2005) separately for boys
    and girls. These charts can replace the existing
    growth charts at AWC.

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  • A comparison was made by Nigam (2005) between
    the two approaches, 60 and 67 of median, to
    evaluate the percentage of severely malnourished
    children being left out by IAP classification
    which is being used by agencies like ICDS. For
    this, district level results from the NIN/IASDS
    district level Reports from the study
    Nutrition Profile of Community in Uttar Pradesh,
    were utilized for Uttar Pradesh and Uttaranchal
    states.

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At the State level, 61.1 of severely
malnourished children were left out in UP. At the
regional level, in Uttar Pradesh, these left out
percentages were 58.1 in Western region, 59.9
in Central, 67 in Eastern and 53.4 in
Bundelkhand. In numbers, in UP alone, out of
about 6 million estimated severely malnourished
children over 3.5 million such children were
likely to be left out.
13
  • The results reveal and support earlier findings
    that the percent of median cut-off points under
    IAP do not capture a substantial number of
    children identified as malnourished through sd /
    z- score classifications.
  • As in most programme intervention projects,
    only severely malnourished are targeted and
    monitored, the huge gap in the two assessments
    also raises ethical considerations.
  • As ICDS uses IAP classifications for growth
    monitoring and identifying severely malnourished
    children, it is not difficult to realize the
    gravity and magnitude of the problem with regard
    to left out severely malnourished children at
    the national level. Corrective measure in this
    direction would prove to be very effective in
    tackling malnutrition deaths.

14
New WHO growth standards for assessing severe
undernutrition in boys
15
New WHO growth standards for assessing severe
undernutrition in boys
16
Growth Curves (Severe Undernutrition) For Boys
From WHO And NCHS Populations (0-59 months)
17
Growth Curves (Severe Undernutrition) For Boys
From WHO And NCHS Populations (0-24 months)
18
Growth Curves (Severe Undernutrition) For Boys
From WHO And NCHS Populations (24-59 months)
19
WHO Standards Some Observations/Concerns
  • It is seen that in 24-59 month period -3sd
    cut-offs vary considerably with average cut-off
    70 of median.
  • Because for weight-based measures outer tails are
    highly affected by even few extreme data points.
  • This could also be because of lower emphasis
    given to uniformity on different aspects of
    complementary feeding initiation, quantity,
    quality and frequency among children of
    cross-sectional group. This perhaps explains
    lower dropouts in cross-sectional design
  • A limitation of WHO standards is non inclusion of
    some important ethnic groups (South East Asia,
    Australia, NZ etc.), and even in India children
    from cities from South and East.
  • The overall design, a mix of longitudinal and
    cross-sectional generates confounding
    overlapping between 18-24 months, uneven visits
    in cross-sectional design.
  • WHO standards are limited to 0-59 months
    children what about older children?

20
Overall Conclusion
  • No single cut-off is entirely satisfactory
  • More stratification is required within each
    country
  • For some time both NCHS and WHO should be
    concurrently used on pilot basis.

21
  • THANK YOU

22
Weight For Age Tables For BOYS and GIRLS In NCHS
Reference Population
23
BOYS GIRLS
24
BOYS GIRLS
25
Percentage of severely malnourished children left
out by IAP classification
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