This report updates the results given in the Second Report on the World Nutrition Situation, Volume I (October 1992) and Volume II (March 1993 - ACC/SCN, 1992/3). New data available at country level1 give recent trends in prevalences of underweight children, as the main nutritional indicator, in 18 countries. These can be compared with those reported in Volume II, to give a total of 46 national trend estimates for the 1980s and 1990s (see Table 1, discussed later). Primarily, this Update Report is concerned with trends around the period 1990 to 1993. Like the previous Update Report of 1989 (ACC/SCN, 1989), it does not make assessments at regional level (the models for this are not re-estimated), but aims to look at recent short-term trends, where possible drawing implications beyond the specific countries for which data are available.
1 Many national surveys have been assisted by the Demographic and Health Surveys (DHS) project.The estimates of trends in the early 1990s are shown in Figure 1, superimposed on those from the Second Report (Vol. II, Figure 1.3, p.5). For Sub-Saharan Africa, seven of the eight trends show recent deterioration, the exception being Tanzania. This probably indicates general worsening of the nutrition in this region; the question of how typical these trends are is addressed below. In the Near East and North Africa, and in South America, it seems likely that the generally improving trends of the 1980s are continuing, and both these regions are likely to reach prevalences now typical of developed countries by around the year 2000, at the present rate. The situation is perhaps similar for many countries in Middle America and the Caribbean, however deterioration was noted in Nicaragua, and we are unsure of trends in Mexico and Cuba. In South East Asia (in which China is included in Figure 1) the signs are that the rapid rates of improvement of the late 1980s probably continued. The Philippines remains an exception, however here too rates of improvement may recently have increased. Newly available data from China indicate rapid improvement in underweight prevalences from 1987 to 1990.
Over half the underweight children in the world are in South Asia, thus estimates of trends in this region have enormous importance. New data are scarce. A surveillance system established in Bangladesh indicates improvement from 1990 to 1993 (mainly in 1992), included in Figure 1. Recent changes in the situation in India are harder to assess, as data gathered in 1991/92 are from a rather small sample - tentative results are that, of seven states assessed, three showed a deterioration, and four had no significant change. General improvement was previously estimated between 1975-79 and 1988-90. As discussed in the case study in Chapter 2, India suffered an economic slow-down in the early 1990s, and there is reason to hope that the reversal of the improving trend indicated may be temporary; there are now renewed efforts to estimate more precisely the prevalences, and these results should only be taken as an interim assessment - but they may be a warning.
More details of these estimated trends, including rates of change in percentage points per year, are shown in Table 1. This also compares the new trend estimates, highlighted in grey, with those in the Second Report (it updates Table 1.3 in the Second Report (Vol I, p.11)). The results in this table in terms of rising or falling trends are the same as those that can be seen in Figure 1. Thus it is evident that most of the estimates in Sub-Saharan Africa indicate a deteriorating situation, whereas in other countries except India the falling prevalence observed earlier has generally continued.
Previously, the observed rates of change in underweight prevalences were compared with those necessary to reach the nutrition improvement goals endorsed by the World Summit for Children (UN, 1990) and the International Conference on Nutrition (FAO/WHO, 1992) (see Second Report, Vol I, p.67; Vol II, p.5). In Table 1, the rates of prevalence change (in percentage points per year) are shown in the right hand column. Also in the right hand column (in brackets) are shown regional rates of change in prevalence, in percentage points per year for 1990-2000, required to meet the goals. Thus, for example, in Sub-Saharan Africa a prevalence change of -1.5 percentage points per year would on average be required to meet the goal of halving the prevalence by the year 2000; but most of the observed trends in this region are positive, indicating deterioration in nutritional status..
A better situation exists in other regions. In the Near East and North Africa, the signs are that the rate of improvement is around that necessary to meet the goals - although starting from a low prevalence the improvement rate required is less than elsewhere. Similar relatively encouraging conclusions can be seen in South East Asia, China, Middle America/Caribbean, and South America, with rates of improvement usually similar to those necessary to reach the goal of halving the prevalence.
Figure 1. Recent Trends in Prevalence of Underweight Children
(New results are shown as solid lines and points; dotted lines are data previously given in Figure 1.3 of Second Report, Volume II, page 5)
Sub-Saharan Africa

Near East and North Africa

South Asia

South East Asia and China

Middle America and Caribbean

South America

Note: New data are those given in Table 1, highlighted; see also notes to Table 1.
Table 1. Estimated Trends in Prevalences of Underweight Children (recent trends updating those in the Second Report are highlighted)
|
|
Year, Prevalence |
|
|
|
|||
|
Country |
Earlier |
Later |
Trend |
Rate (pp/yr) |
|
||
|
|
|
|
|
(rate for goals) |
|||
|
Sub-Saharan Africa |
|
|
|
|
|
|
(-1.5) |
|
Ethiopia |
1983 |
37.3 |
1992 |
46.9 |
Rising |
+1.07 |
|
|
Kenya |
1982 |
22.0 |
1987 |
17.5 |
Falling |
-0.80 |
|
|
Kenya |
1987 |
18.0 |
1993 |
22.3 |
Rising |
+0.72 |
|
|
Lesotho1 |
1976 |
173 |
1981 |
13.3 |
Falling |
-0.80 |
|
|
Madagascar |
1984 |
33.0 |
1992 |
39.0 |
Rising |
+0.75 |
|
|
Malawi |
1981 |
24.0 |
1992 |
27.0 |
Rising |
+0.27 |
|
|
Rwanda |
1976 |
27.8 |
1985 |
27.5 |
Static |
-0.03 |
|
|
Rwanda |
1985 |
27.5 |
1992 |
29.2 |
Rising |
+0.24 |
|
|
Senegal |
1986 |
17.5 |
1992 |
20.1 |
Rising |
+0.43 |
|
|
Tanzania |
1987 |
33.0 |
1992 |
28.0 |
Falling |
-1.00 |
|
|
Togo |
1977 |
20.5 |
1988 |
24.4 |
Rising |
+0.35 |
|
|
Zambia |
1985 |
26.5 |
1991 |
26.8 |
Static |
+0.05 |
|
|
Zambia2 |
1990 |
27.8 |
1992 |
29.0 |
Rising |
+0.60 |
|
|
Zimbabwe |
1984 |
14.0 |
1988 |
10.0 |
Falling |
-1.00 |
|
|
|
|
|
|
|
|
|
|
|
Near East and N. Africa |
|
|
|
|
|
|
(-0.6) |
|
Egypt |
1978 |
16.6 |
1988 |
10.0 |
Falling |
-0.66 |
|
|
Egypt |
1990 |
10.4 |
1992 |
9.4 |
Falling |
-0.50 |
|
|
Morocco |
1987 |
12.0 |
1992 |
9.0 |
Falling |
-0.60 |
|
|
Tunisia |
1975 |
20.2 |
1988 |
7.8 |
Falling |
-0.95 |
|
|
South Asia |
|
|
|
|
|
|
(-2.9) |
|
Bangladesh |
1981 |
70.1 |
1989 |
66.5 |
Falling |
-0.45 |
|
|
Bangladesh3 |
1990 |
71.0 |
1993 |
67.0 |
Falling |
-1.33 |
|
|
India |
1977 |
71.0 |
1988/90 |
63.0 |
Falling |
-0.67 |
|
|
India4 |
1988/90 |
63.0 |
1991/92 |
66.0 |
Rising |
+1.00 |
|
|
Pakistan |
1977 |
54.7 |
1990 |
40.4 |
Falling |
-1.10 |
|
|
Sri Lanka |
1980 |
47.5 |
1987 |
36.6 |
Falling |
-1.56 |
|
|
|
|
|
|
|
|
|
|
|
South East Asia |
|
|
|
|
|
|
(-1.6) |
|
Indonesia |
1986 |
51.0 |
1989 |
46.0 |
Falling |
-1.70 |
|
|
Malaysia |
1983 |
25.6 |
1986 |
21.1 |
Falling |
-1.50 |
|
|
Myanmar |
1982 |
42.0 |
1990 |
32.4 |
Falling |
-1.20 |
|
|
Philippines |
1982 |
33.2 |
1990 |
33.5 |
Static |
+0.04 |
|
|
Philippines |
1990 |
33.5 |
1992 |
33.0 |
Falling |
-0.25 |
|
|
Thailand |
1982 |
36.0 |
1990 |
13.0 |
Falling |
-2.88 |
|
|
Vietnam |
1987 |
515 |
1990 |
41.9 |
Falling |
-3.20 |
|
|
|
|
|
|
|
|
|
|
|
China5 |
1987 |
21.7 |
1990 |
17.5 |
Falling |
-1.40 |
(-1.1) |
|
|
|
|
|
|
|
|
|
|
Middle America/Caribbean |
|
|
|
|
|
|
(-0.8) |
|
Costa Rica1 |
1978 |
16.0 |
1982 |
6.0 |
Falling |
-2.50 |
|
|
Costa Rica |
1982 |
6.0 |
1992 |
2.3 |
Falling |
-0.37 |
|
|
El Salvador |
1975 |
21.6 |
1988 |
15.5 |
Falling |
-0.47 |
|
|
Jamaica |
1978 |
15.0 |
1985 |
14.9 |
Static |
-0.01 |
|
|
Jamaica |
1985 |
14.9 |
1989 |
7.2 |
Falling |
+1.93 |
|
|
Nicaragua |
1982 |
10.5 |
1993 |
11.9 |
Rising |
+0.13 |
|
|
Panama |
1980 |
16.0 |
1992 |
7.0 |
Falling |
-0.75 |
|
|
Trinidad/Tobago |
1976 |
16.3 |
1987 |
5.9 |
Falling |
-0.95 |
|
|
|
|
|
|
|
|
|
|
|
South America |
|
|
|
|
|
|
(-0.4) |
|
Bolivia |
1981 |
14.5 |
1989 |
11.4 |
Falling |
-0.39 |
|
|
Brazil |
1975 |
18.4 |
1989 |
7.1 |
Falling |
-0.81 |
|
|
Brazil (NE) |
1989 |
12.7 |
1992 |
9.2 |
Falling |
-1.17 |
|
|
Chile6 |
1978 |
2.1 |
1986 |
2.5 |
Static |
+0.01 |
|
|
Colombia |
1980 |
16.7 |
1989 |
10.1 |
Falling |
-0.73 |
|
|
Peru |
1984 |
13.4 |
1992 |
10.8 |
Falling |
-0.33 |
|
|
Venezuela |
1982 |
10.2 |
1987 |
5.9 |
Falling |
-0.85 |
|
Note: The purpose of this table is more to give prevalence trends than levels comparable across countries. Most prevalences given are of children 0-59 months, <-2 SDs by NCHS standards. In some of the recent cases, however, this indicator was not available and could not be estimated (e.g. 0-36 month age range, <80% w/a cut-off), in which case priority was given to deriving identically-defined prevalences comparable within country across time. This has minor effects on the estimated rates, in percentage-points per year (pp/yr), which are considered generally comparable across countries.Again, South Asia has the largest task, starting with both the highest prevalences and massive population. Thus although the rate of improvement here is estimated to be fairly similar to that in other improving regions - with the possible exception of India recently - these rates are not enough to meet the halving-the-prevalence goals. The rate required (because the starting prevalence is so much higher) is almost twice that of elsewhere, at nearly three percentage points per year, compared with one and a half for Sub-Saharan Africa or South East Asia.1 These data not included in figure 2 as too old.
2 Zambia 1990-1992, rural. In figure 2, period taken as 1985-1992 and rate calculated as 0.2 pp/yr.
3 Bangladesh data for 1981/1989 from surveys, 1990/1993 from surveillance, thus levels not comparable but trends should be reliable.
4 Data from: Karnataka, Maharashtra, Gujarat, Kerala, Tamil Nadu, Andhra Pradesh, and Orissa.
5 1987, nine provinces; 1990, seven provinces. Five provinces have data for both years; in these, the prevalence trend (weighted average by sample size) was -1.1 pp/yr.
6 Not included in figure 2 as both prevalences approximately equivalent to NCHS prevalences
An important determinant of at least part of nutrition trends is likely to be the economic growth rate. In the Second Report (Vol. I, p.9), underweight prevalences were compared with per capita GNP levels, showing a steep (non-linear) slope at low GNP values; one of the models used (Vol II, p.111) showed significant associations with GNP (and GNP-squared). Prevalence changes versus GNP changes were also illustrated for these earlier data (pre-1990, Second Report, Vol II, p.3). The present prevalence trend data have been further examined in relation to economic growth. Comparing rates change of GDP per caput with rates of change in prevalence shows a moderately close fit - see Figure 2, discussed in more detail below. A first use of this relationship is to get some idea as to how generalizable prevalence data are, using the known GDP growth rates.
The question of how typical are the recent estimates is particularly important for Sub-Saharan Africa. Here there are eight recent national estimates available, but these only cover a minority of the population (in contrast, for example, to the data coverage in Asia). One approach is to compare these eight national GDP rates of change with the regional average. This is shown in Table 2. The average GDP changes for the eight countries was negative recently - probably the best comparison period is 1985-1992, when the rate was -0.2%. For Sub-Saharan Africa overall, the change during this period was -0.8%. Thus these countries were slightly better off, if anything, than the average for Sub-Saharan Africa in 1985-92. The overall conclusion would be that the nutrition situation in Sub-Saharan Africa probably deteriorated somewhat more, rather than less, than indicated from the eight countries with available data.
A further question is whether the trend in the early 1990s (1990-92) was worse than that in the late 1980s. Nutritional trends in Sub-Saharan Africa were estimated to be static in 1985-90 (Second Report, Table 1.2, p. 10), and as discussed above prevalences are thought likely to have increased in 1990-92. This is in line with the reduction in GDP growth in the region, from -0.4% per year in 1985-90, to -1.9% in 1990-92, as shown in Table 2. The nutritional trend probably worsened in the early 1990s in Sub-Saharan Africa.
The situation in South Asia depends on average largely on India, for which there are direct estimates for certain states indicating possible increasing prevalences. On the other hand in other areas of the world the underweight trends available for the early 1990s were generally similar to those in the late 1980s (as can be seen roughly from Table 1). In most regions the GDP growth rate improved after 1990 (except Sub-Saharan Africa, see Table 2). The conclusion from Tables 1 and 2 is that nutritional improvement outside Sub-Saharan Africa and possibly India probably continued into the early 1990s.
The comparison of underweight prevalences changes with GDP per capita annual growth rates, shown in Figure 2, has some important further implications, which can only be touched on here. The prevalence rate data are the same as those given in Table 1; a negative (i.e. reduced) prevalence means improvement. It is expected that rapid economic growth would be associated with improving nutrition, and this is observed - certainly for such countries as Thailand and Vietnam in the 1980s (points 28 and 29 in Figure 2), and also for those growing well but less fast such as Indonesia (23) and China (30). Other countries with positive economic growth rates generally show nutritional improvement - with considerable variation - but the relationship becomes more diffuse for country-periods around and below zero growth. In fact, the fit to these data is non-linear, with no significant slope around or below zero growth, then accelerating with increasing positive growth (see Model 1 in Figure 2). Interestingly, prevalence probably still decreases somewhat (about -0.3 pp/year) at zero growth.
Such results are consistent with earlier observations (e.g. Update Report, 1989, p.16) of an underlying long-term tendency to improvement - associated with such factors as increasing education and falling fertility - disturbed by shorter-term crises, which may be economic, political, environmental, or a combination of these. However, there is perhaps more pessimism now than before concerning what the real long-term nutritional trend is in Sub-Saharan Africa.
Although economic growth is a likely factor in nutritional improvement, the deviation from the rate expected is substantial and important. On a case-by-case basis, many of the points seen in Figure 2 to be improving faster than the average (for growth) seem plausible - e.g. Jamaica (34), Sri Lanka (22), Zimbabwe (12); similarly a number of notably deteriorating cases are well-recognized - e.g. Ethiopia (1), Madagascar (4), Rwanda (6). (Note that the data for India, 1989-92, point 20, are particularly tentative). Nonetheless, factors explaining the better-than-expected deviations should be examined systematically - for example are they related to social expenditures (health, education, etc.)? increased food security? - and preliminary observations outside the scope of this overview, indicate that this may be so.
Figure 2. Plot of Change in Underweight Prevalence by Economic Growth Rate

|
Country |
From. |
To |
|
1. Ethiopia |
1983, |
1992 |
|
2. Kenya |
1982, |
1987 |
|
3. Kenya |
1987, |
1993 |
|
4. Madagascar |
1984, |
1992 |
|
5. Malawi |
1981, |
1992 |
|
6. Rwanda |
1976, |
1985 |
|
7. Rwanda |
1985, |
1992 |
|
8. Senegal |
1986, |
1992 |
|
9. Tanzania |
1987, |
1992 |
|
10. Togo |
1977, |
1988 |
|
11. Zambia |
1984, |
1992 |
|
12. Zimbabwe |
1984, |
1988 |
|
13. Egypt |
1978, |
1988 |
|
14. Egypt |
1990, |
1992 |
|
15. Morocco |
1987, |
1992 |
|
16. Tunisia |
1975, |
1988 |
|
17. Bangladesh |
1981, |
1989 |
|
18. Bangladesh |
1990, |
1993 |
|
19. India |
1977, |
1989 |
|
20. India |
1989, |
1992 |
|
21. Pakistan |
1977, |
1990 |
|
22. Srilanka |
1980, |
1987 |
|
23. Indonesia |
1986, |
1989 |
|
24. Malaysia |
1983, |
1986 |
|
25. Myanmar |
1982, |
1990 |
|
26. Philippines |
1982, |
1990 |
|
27. Philippines |
1990, |
1992 |
|
28. Thailand |
1982, |
1990 |
|
29. Viet Nam |
1987, |
1990 |
|
30. China |
1987, |
1990 |
|
31. CostaRica |
1982, |
1992 |
|
32. El Salvador |
1975, |
1988 |
|
33. Jamaica |
1978, |
1985 |
|
34. Jamaica |
1985, |
1989 |
|
35. Panama |
1980, |
1992 |
|
36. Nicaragua |
1982, |
1993 |
|
37. Trin/Tobago |
1976, |
1987 |
|
38. Bolivia |
1981, |
1989 |
|
39. Brazil |
1975, |
1989 |
|
40. Colombia |
1980, |
1989 |
|
41. Peru |
1984, |
1992 |
|
42. Venezuela |
1982, |
1987 |
GDPR2 - (GDPRATE + 6)
PREV2 = -PREVRATE
|
PREV2 = 0.3547 - |
0.1984 GDPR2 + |
0.03148(GDPR2·GDPR2) |
|
|
(p = 0.22) |
(p = 0.01) |
Model 2
|
PREVRATE |
= -0.494 - |
0.237 GDPRATE |
|
|
(p = 0.000) |
(p = 0.000) |
Model 1 is equivalent to: PREVRATE = -0.2976 - 0.1794 GDPRATE - 0.03148 (GDPRATE·GDPRATE)
Table 2 Real GDP/caput Annual Growth Rates (%), by Region
|
Region1 |
1980-85 |
1985-90 |
1990-92 |
1985-92 |
|
Sub-Saharan Africa |
-2.1 |
-0.4 |
-1.9 |
-0.8 |
|
Near East/N.Africa |
-1.0 |
0.6 |
1.1 |
0.9 |
|
South Asia |
3.5 |
1.6 |
2.5 |
2.1 |
|
South East Asia |
1.8 |
4.6 |
4.2 |
4.7 |
|
Middle America/Caribbean |
-1.3 |
-0.5 |
1.3 |
0.2 |
|
S.America |
-2.0 |
-0.2 |
1.4 |
-0.2 |
|
China |
8.5 |
6.0 |
7.9 |
5.9 |
Source: Calculated from data in: World Bank (1994). World Tables, Fall 1994 Update. Washingon, D.C. (Computer Disk)Interpretation is complicated by the fact that many countries with good economic performance are also able to support specific nutritional activities - Thailand and Indonesia are again examples of this. Thus more detailed investigation is needed to disentangle the relative effects of such different nutrition-relevant actions. The case-studies referred to in the Second Report (Vol. II, p. 120) gave some insights, indicating that economic growth (in part through increased food security), health and education, and community-based nutrition programmes all contributed to improving nutrition (Gillespie and Mason, 1993); moreover these could not substitute for each other, anyway in the long term.Average for 8 countries with nutrition data up to 1992/93 in Sub-Saharan Africa: 1985-90, 1.0%; 1990-92, -3.5%; 1985-92, -0.2%.
Note: 8 countries/dates are: Ethiopia (83-92), Kenya (87-93), Madagascar (84-92), Rwanda (85-92), Senegal (86-92), Tanzania (87-92), Zambia (88-92).
1 Regional groupings as defined in the Second Report on the World Nutrition Situation, see Vol.I, p.5, and Vol.II, pp. 102-104; the following countries were excluded because of unavailability of GDP data: Sub-Saharan Africa - Angola, Liberia, Somalia, Uganda; Near East & North Africa - Cyprus, Iraq, Jordan, Kuwait, Lebanon, Libya, Syria, United Arab Emirates, Yemen; South Asia - Afghanistan; South East Asia - Lao PDR, Kampochea or Cambodia, Vietnam; Middle America & Caribbean - Cuba.
The country case studies in Chapter 2 are intended to describe recent trends in nutrition. They provide some illustrations of important factors influencing these. Their selection was determined in part by the availability of new data to estimate trends, with particular stress on seeking new information for countries with large populations. Countries included are therefore not systematically selected as representing different situations, although they do in fact cover a range of these.
China and India were obviously important to include, having the largest populations overall, and India having the greatest numbers of underweight children. Bangladesh, with the highest national prevalence estimated in 1990, was included. Brazil was considered a priority for inclusion, due to its population size, although new data were only available for one region. Particular importance was attached to identifying national trend data in Sub-Saharan Africa, because of concern for deterioration. Eight estimates of recent trends were feasible, with important implications as discussed earlier.
The availability of nutritional data has improved to such an extent that it is increasingly feasible to assess trends, and indeed in future it will be more possible to focus selectively on countries of special concern and interest. For this report, 46 trend estimates (country-periods in 35 countries) were available; for the Second Report in 1992, 29 national trends could be assessed (Vol. I, p.11); and for the Update Report in 1989, in only around ten cases could trends be directly estimated. National data (observations at one point in time) are available now from over 100 surveys. The data, compiled by WHO, now usually include prevalences of stunting and wasting, as well as underweight (De Onis et al., 1993), and greater use of these indicators can be foreseen. A number of important publications now regularly include these indicators, such as UNICEF's State of the World's Children and Progress of Nations (e.g. UNICEF (1994 a & b)), UNDP's Human Development Report (e.g. UNDP, 1994), the World Development Report (e.g. World Bank, 1994), and Bread for the World's Annual Hunger reports (e.g. Bread for the World Institute, 1994). These estimates and publications all use the same basic data, and are generally consistent with each other.
Chapters 1 and 2 in this report aim to give a recent picture of nutritional trends, to update the more detailed analysis in the Second Report, and to bridge the gap to the Third Report on the World Nutrition Situation, due in 1995.
Chapter 3 draws attention to the nutritional situation of refugees and displaced people, particularly in Sub-Saharan Africa. This population, rapidly increasing in numbers, is the most seriously affected by malnutrition in the world. Assessment of nutritional conditions, and efforts to improve these, should surely include the worst-off groups. The section draws on information from the two-monthly reports now issued by the SCN, in close collaboration with UNHCR, WFP, and many other organizations, especially non-governmental. Although individual situations vary rapidly - with improvements (such as Mozambique) as well as disasters like in Rwanda and Sudan - the trend in numbers affects, and in severe malnutrition, is ominous. Chapter 3 introduces the topic, gives some details of specific situations in Asia and Africa, and ends by summarizing the nutrition conditions for refugees and displaced people in Sub-Saharan Africa.
References
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Bread for the World Institute (1994) Hunger 1995: Causes of Hunger. Fifth Annual Report on the Stale of World Hunger. Bread for the World Institute, Silver Spring, MD 20910, USA.
De Onis, M., Monteiro, C., Akre, J., and Clugston, G. (1993) Worldwide Magnitude of Protein-Energy Malnutrition: An Overview from the WHO Global Database on Child Growth. WHO Bulletin 71 (6:703-712). WHO, Geneva.
FAO/WHO (1992) International Conference on Nutrition. World Declaration and Plan of Action for Nutrition. FAO, Rome and WHO, Geneva.
Gillespie, S. and Mason, J. (1993) How Nutrition Improves: A Synthesis of Findings from the Reviews of Nutrition-Relevant Actions in Ten Countries. Background Paper for the ACC/SCN Workshops on "Nutrition-Relevant Actions in Developing Countries - Recent Lessons" at the XV IUNS Congress, 25-27 September 1993, Adelaide, Australia. ACC/SCN, Geneva.
UN (1990) World Declaration and Plan of Action, World
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UNICEF (1990) Strategy for Improved Nutrition of Children
and Women in Developing Countries, Policy Review Paper E/ICEF/1990/1.6.
UNICEF, New York.
UNDP (1994) Human Development Report. World Bank, Washington D.C., USA.
UNICEF (1994 a) The Stale of the World's Children 1994. UNICEF, New York.
UNICEF (1994 b) Progress of Nations. UNICEF, New York.
World Bank (1994) World Development Report 1994. World Bank, Washington D.C., USA.