103
Riau Islands Bali
Gorontalo Jakarta
Papua Banten
Lampung Central Java
Aceh Central Kalimantan
North Sumatra West Papua
Bangka Belitung Islands North Sulawesi
West Kalimantan West Java
INDONESIA North Maluku
East Java Jambi
South Kalimantan Riau
Southeast Sulawesi Central Sulawesi
West Nusa Tenggara East Kalimantan
West Sumatra East Nusa Tenggara
South Sumatra Yogyakarta
Maluku Bengkulu
South Sulawesi West Sulawesi
0.0 20.0 40.0 60.0 80.0 100.0 120.0 31.5
59.7 36.6
40.9 30.1
24.7 33.9
45.6 33.8
41.5 35.4
34.0 23.4
43.3 41.8
45.9 41.2
25.1 42.7
43.1 37.7
31.7 36.9
53.2 39.0
41.8 34.3
42.1 38.9
54.7 42.0
42.8 44.2
40.7
Exclusively Breastfeeding 2007 Complementary feeding 2007
13.0 13.3
15.1 16.4
22.7 24.4
24.4 24.7
24.8 25.6
25.8 26.1
28.1 28.8
31.5 32.2
32.4 33.1
33.3 34.5
34.8 35.2
38.9 43.5
43.7 43.8
44.0 44.9
47.0 49.3
54.9 55.2
59.8 62.5
Source:IDHS2007 Notes:Complementaryfeeding:Percentageofchildrenaged6–23monthswith3IYCFpractices
Figure 3.13: Coverage of macronutrient intervention, by province, 2007
providing counselling on feeding practices, and providing micronutrient supplements to
children and pregnant women. Unfortunately the government has often focused on underweight
children weight-for-age and has given inadequate attention to the problems of stunting
height-for-age and wasting weight-for-height, as was evident from the nutritional targets set
by the government. Furthermore, the prevalence of cases of overweight children is increasing,
not only in rich households but also in the poor ones. Yet the government so far has only issued
policies aimed at preventing an increase in the prevalence of overweight children, and has no
policies aimed at reducing the prevalence of overweight children.
A number of government nutrition improvement activities are already easily accessible in
communities, since they are channelled through the posyandu and puskesmas system. However,
these programmes and activities are not specifically intended for poor households but are
aimed at the general community. The increasing prevalence of malnutrition occurring in poor
households from 2007–2010 is evidence that the government’s nutrition interventions have been
ineffective for poor households.
104
Figure 3.14: Infant feeding practices, 2007
100 90
80 70
60 50
40 30
20 10
0-1 2-3
4-5 6-7 8-9 10-11 12-13 14-15 16-17 18-19 20-21 22-23
age months Weaned not breastfed
Breastfed and non-milk liquids
Breastfed and solid semi-solid foods
Breastfed and plain water only
Breastfed and other milk formula
Exclusively breastfed Source:IDHS2007,inUNICEF,2009
Figure 3.15: Exclusively breastfed babies aged 0–5 months, by urbanrural location, gender and household expenditure, 2010
40 35
30 25
20 15
10 5
of 0-5 month old babies Boys
Urban Girls
Rural Q1
Q3 Q2
Q4 Q5
29 25.4
25.2 29.3
37.4 30.5
26.6 19.9
17.5
Household Consumption Level Source:RISKESDAS2010
105
3.4.6 Child nutritional status: Underweight, wasting, stunting and overweight
As illustrated in UNICEF’s conceptual framework on the determinants of nutritional status, the
causes of malnutrition are multi-sectoral. Dietary intake and health status – which act in synergy
– are the immediate determinants of nutritional status UNICEF, 1990. Dietary intake in turn will
be affected by the food available and accessible to the household or its food security while
health status will depend on the household’s access to health services as well as to safe water
and appropriate sanitation or access to health. Access to food as well as access to health will
both be modified by the household’s capacity to fulfill the care needs of women and children.
From that perspective, household food security is a necessary but insufficient condition to
ensure adequate nutritional status. Food security, adequate care for children and mothers as well
as access to health services are all determined by underlying factors operating in the family,
community and broader society. Beaurdy 1996 found that these conditions are related to the
availability and control of human, economic and organizational resources in the society,
themselves the results of current and previous technical and social conditions of production
together with political, economic and ideological- cultural factors see Figure 3.16.
Anthropometry is a universal method to assess individual nutritional status, most commonly
evaluated among under-fives, as their nutritional status constitutes an indicator of societal health
and well-being. In a population of children, height-for-age, weight-for-height and weight-for-
age indices are estimated using WHO growth standards Multicentre growth reference study
group, 2006. Weight-for-age reflects body mass relative to age. Low weight-for-age is described
as ‘lightness’ and reflects a pathological process referred to as ‘underweight’. Weight-for-age
also reflects both weight-for-height and height- for-age; hence it fails to distinguish tall, thin
children from those who are short with adequate weight. Height-for-age reflects the achieved
linear growth that can be used as an index of past nutritional or health status. Low height-
for-age is defined as ‘shortness’ and reflects either normal variation or a pathological process
involving failure to reach linear growth potential referred to as ‘stunting’. Finally, weight-for-
height measures body weight relative to height. Low weight-for-height in children is described
as ‘thinness’ and reflects a pathological process referred to as ‘wasting’. This condition arises
from a failure to gain sufficient weight relative to height or from losing weight Figure 3.17.
The MDG target focuses on the prevalence of underweight children, which has been associated
with an increased risk of mortality in under- fives in the 1990s. Since 1989, the number of
underweight children under the age of five in Indonesia has tended to decrease each year. In
2010 the prevalence of undernourished under- fives in Indonesia was 17.9 per cent Figure
3.18, which is a good indicator of progress towards achieving the MDG target of 15.5 per
cent in 2015. In 2007, East Nusa Tenggara was the province with the largest prevalence of
underweight children 33.6 per cent, while West Nusa Tenggara had the greatest prevalence of
underweight children in 2010 30.5 per cent. In 2007, Yogyakarta was the province with the
lowest prevalence of underweight children at 10.9 per cent, and in 2010 North Sulawesi had
the lowest prevalence, at 10.6 per cent. There was also a tendency for girls to be better off than
boys with regard to all three nutritional status indicators. This is unlikely to have been caused
by differential treatment of boys and girls by their parents but is most likely due to boys being
more active than girls, and therefore needing a larger intake of nutritious food. This general
difference between boys and girls should be understood and explained by puskesmas staff
and posyandu personnel.
The disparities in nutritional status between urban and rural areas and between wealthier
and poorer households are apparent. The number of children under the age of five who
were underweight was higher in rural areas compared to urban areas. Moreover, from 2007
to 2010 the prevalence of underweight children in urban areas decreased by 4.4 per cent while
in rural areas it increased by 1.5 per cent Figure 3.19. The prevalence of underweight was higher
among children in poor households. Although the national prevalence of underweight children
decreased in 2010, the opposite was happening
106
Figure 3.16: Factors causing malnutrition
Malnutrition Manifestation
Immediate Causes
Underlying Causes
Basic Causes
Inadequate education
Economic Structure Potential resources
Political and Ideological Factors Inadequate
dietary intake
Inadequate access to food
Inadequate care for children and
women Disease
Source:UNICEF,‘Strategyforimprovednutritionofchildrenandwomenindevelopingcountries’,APolicyreview,New York,1990
Figure 3.17: Anthropometrics of nutrition
Underweight
Wasting Stunting
Height Age
Weight Insufficient health
services and unhealthy environment
Resources and Control Human, economic and
organizational resources
107 within poor households. The prevalence of
underweight children in quintile 1 households the poorest had increased from 2007 to 2010 by
2.7 per cent. As for households in quintiles 2, 3, 4 and 5, the prevalence of underweight children
had decreased and continued to decrease as the level of household expenditure increased.
Besides the prevalence of underweight children, Indonesia actually faces a greater nutritional
problem in stunting low height-for-age among under-fives. Based on RISKESDAS 2007 data,
36.8 per cent of under-fives were considered to be stunted. In 2010, this percentage had
decreased slightly to 35.6 per cent but was still much higher than the prevalence of other
nutritional problems Figure 3.20. In 2007 and 2010, the province that experienced the highest
prevalence of stunting of children was East Nusa Tenggara with 46.8 per cent and 58.4 per cent
respectively. In this province, the prevalence of stunting among under-fives was higher in
rural areas than in cities. The province with the lowest rate of stunting in 2007 was Riau 26.2
per cent and in 2010 it was Yogyakarta 22.5 per cent. Nationally, the prevalence of stunting in
Indonesia declined, but when analysed on the basis of household expenditure, the decline in
stunting only occurred in wealthier households in quintiles 3, 4 and 5, where a greater decline
was also associated with increases in household expenditure levels. In very poor households, or
those in quintile 1, the prevalence of stunting among under-fives increased by 6.4 per cent
between 2007 and 2010, to 43.1 per cent. In households with expenditures in quintile 2, the
prevalence of stunted children was stagnant at approximately 39 per cent. In rural areas
the prevalence increased by 0.25 per cent between 2007 and 2010, while in urban areas
the prevalence decreased by 3.98 per cent in the same period.
Nutritional status of under-fives can also be viewed on the basis of weight-for-height, where
low weight-for-height indicates wasting. The prevalence of wasting among under-fives
decreased by 2.2 per cent, from 13.6 per cent in 2007 to 13.3 per cent in 2010 Figure 3.18.
The prevalence of wasting among under-fives was higher in rural areas than in urban areas.
Based on the level of household expenditure, a decline in the prevalence of wasting between
2007 and 2010 only occurred in households with middle to upper levels of expenditure, while in
households with expenditure levels in quintile 1 the prevalence of wasting actually increased
by 15 per cent, and in quintile 2 it remained unchanged. In the quintile 5 wealthiest
households the prevalence of wasting decreased
40 35
30 25
20 15
10 5
Boys Boys
Boys Total
Total Total
Girls Girls
Girls Underweight
Stunting Wasting
Source:RISKESDAS2007and2010
Figure 3.18: Nutritional status of children under age five years, 2007 and 2010
of under 5 years old children 2007
2010
108 by 17.8 per cent.
No less important than the problem of undernourishment is the problem of obesity
in children, which often escapes the attention of the government. The average prevalence of
overweight children under the age of five in Indonesia in 2007 was 12.2 per cent, increasing
to 14 per cent in 2010. There were 18 provinces that recorded a prevalence of obesity above
the national average in 2007, and a decrease occurred in 12 provinces in the period between
25 20
15 10
5
50 45
40 35
30 25
20 15
10 5
Rural
Rural Q2
Q2 Q5
Q5 Urban
Urban 2007
2010
2007 2010
Q1
Q1 15.9
32.7 15.2
31.4 20.4
39.9 22.1
40.5 19.5
38.9 18.1
37.2 16.5
34.1 13.7
30.3 20.7
40.0 22.7
43.1 19.1
38.9 17.6
34.0 15.2
30.7 10.5
24.1 Q4
Q4 Q3
Q3 Source:RISKESDAS2007and2010
Source:RISKESDAS2007and2010
Figure 3.19: Prevalence of underweight children under age five by urbanrural location and household expenditure, 2007 and 2010
Figure 3.20: Prevalence of stunting among children under age five by urbanrural location and household expenditure, 2007 and 2010
2007 and 2010. The highest prevalence of obesity in 2007 occurred in South Sumatra Province
20.9 per cent and in 2010 it was in Jakarta 19.6 per cent. The lowest prevalence of overweight
children in 2007 was in Gorontalo 6.8 per cent and in 2010 it was in North Maluku 5 per cent.
Children who suffer from being overweight, a problem that has always been associated
with rich households, are also found in poor households. In 2007, 12.2 per cent of under-
fives were overweight. The data showed in the