FACTORS
CAUSING STUNTING AND THE VALUE OF ECONOMIC LOSSES DUE TO STUNTING IN KETAPANG
REGENCY
Albertin Tri Kurniasih1,
Rosyadi2, Nurul Bariyah3�
Universitas Tanjungpura, Kalimantan Barat, Indonesia
[email protected]1, �[email protected]2,
[email protected]3
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ABSTRACT
This research aims to examine the influence of the
factors that cause stunting and the value of economic losses due to stunting in
Ketapang Regency by using the factors that cause stunting that are studied,
namely food security, social environment, health environment, and residential
environment. The method used in this research is descriptive quantitative
research. The population used was 88 people with stunted children and 30 people
with non-stunted children. The data analysis technique used is the chi-square
test statistical analysis program facility using SPSS. The results of this
study show that there is a significant relationship between the social
environment, social environment, and health environment in the incidence of
stunting in the Ketapang district. However, the residential environment has an
insignificant relationship with stunting in Ketapang Regency. Moreover, the
economic loss caused by stunting, assuming a decrease in productivity of 2
percent to 9 percent, is estimated to range from 1 percent to 10.8 percent of
Ketapang's GRDP, or approximately 200 billion rupiah to 1.8 trillion rupiah,
thereby underlining the urgency for targeted interventions and policy
initiatives to address this issue effectively.
Keywords: Food
Security, Social Environment, Health Environment, Residential Environment,
Economic Loss, Stunting.
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Corresponding Author: Albertin Tri Kurniasih
Email: [email protected]
INTRODUCTION
Stunting is a condition where
children under the age of five fail to grow due to chronic malnutrition,
especially in the first 1,000 days of life (HPK). Stunting in children under
five is caused by long-term malnutrition and the development of recurrent infections;
both of these causal factors are influenced by inadequate parenting patterns,
especially in children under 1,000 HPK (PPN,
2018). Stunting is a problem suffered
by children under five years of age as a result of problematic nutritional
intake over a long period of time, and this problem can occur from the
beginning of pregnancy until the child is two years old (Transmigration,
2017).
Based on data from the World Health Organization
(WHO), Stunting in Indonesia is ranked 5th in the world and 2nd in Southeast
Asia (United et al.'s Fund,
2022). To overcome this, the government announced
Presidential Regulation Number 72 of 2022 concerning the Acceleration of
Reducing stunting. The 2020-2024 RPJMN targets that by 2024, the prevalence of
Stunting in Indonesia will be 14 percent.
Table 1. National Stunting Data, West Kalimantan Province
and Ketapang Regency 2018-2022.
|
No. |
Area |
Stunting
Prevalence (Percent) |
|||
|
2018 |
2019 |
2021 |
2022 |
||
|
1 |
Ketapang |
42.68 |
21.79 |
23.6 |
22.3 |
|
2 |
West Kalimantan |
33.3 |
31.46 |
29.8 |
27.8 |
|
3 |
Indonesia |
30.8 |
27.7 |
24.4 |
21.6 |
Source:
Ministry of Health 2019-2022
Based on the Indonesian Nutrition
Status Survey (SSGI), the incidence of stunting decreased in 2019 in Indonesia
by 3.1 percent, in West Kalimantan Province by 1.84 percent, and in Ketapang
Regency by 20.89 percent. In 2020, there is no data regarding the COVID-19
pandemic.
Measuring the prevalence of
stunting will start again in 2021, where nationally and provincially, there is
a decrease of 3.3 percent and 1.66 percent, but for Ketapang Regency, there is
an increase of 1.81 percent. Then, in 2022, there will be a decline of 2.8
percent for Indonesia, 2 percent for West Kalimantan Province, and 1.3 percent
for Ketapang Regency, so based on these results, it is still far from the
national target (RI, 2022). West Kalimantan Province ranks eighth in the number of stunting
cases in Indonesia. Ketapang Regency is ranked third lowest out of fourteen
districts/cities in West Kalimantan Province. However, this figure is still far
above the 20 percent limit set by the World Health Organization (WHO).
Average data on toddlers with stunting in Ketapang Regency from
the results of Community-Based Electronic Nutrition Recording and Reporting
(EPPGM) can be seen in Figure 1.

Figure 1. Percentage of Stunting Toddlers (TB/U) of
Toddlers
considered in Ketapang Regency 2018 � 2022
Source: Profile of the Ketapang District Health
Service (processed data)
Figure 1 shows that according to
data from the Health Service, the stunting rate continues to increase every
year. From 2018 to 2019, the percentage of short and very short toddlers in
Ketapang Regency continued to increase from 19.70 percent in 2018, 17.20
percent in 2019, 19.17 percent in 2020, 16.7 percent in 2021, and 19.38 percent
in 2022. The
average from 2018 � 2022, the percentage of short and concise children under
five is 18.54 percent (DKK Ketapang, 2022).
According to WHO, Stunting is
a condition of chronic malnutrition that is characterized by short stature in
children under the age of five. When a child turns two years old, stunted growth
becomes apparent. A child is said to be stunted if his height and body length
are minus 2 to minus 3 of the Multicentre Growth Reference Study standard or
the median standard deviation of the child's growth standards or the ratio of
height (cm)/child's age (months). This is because the nutritional intake given
over a long period does not meet needs. Stunting has the potential to slow down
brain development, with long-term impacts in the form of mental retardation,
poor learning abilities, and the risk of developing chronic diseases such as
diabetes, hypertension, and obesity. Children who experience stunting tend to
have lower intelligence, which will impact their productivity. This statement
is strengthened by research results (Woldehanna
et al., 2017), which show that the
cognitive achievement of children in low-income countries such as Ethiopia is
lower due to malnutrition and stunting. This condition is in line with the
results of research (Dimiati
& Hajar, 2019) in Idi Rayeuk, Aceh Regency,
where children aged 9-12 years who experienced stunting caused children's
cognitive abilities and their ability to comprehend at school to be low, thus affecting
their learning achievement.
The United Nations Development
Program (UNDP) determines the indicators that determine the Human Development
Index (HDI), namely education, health, and the economy as benchmarks for the
quality of human resources in a country. Indonesia's HDI in 2022 is 72.91, an
increase of 0.62 from the previous year, but still below other ASEAN countries
such as Singapore, Brunei Darussalam, Malaysia, and Thailand. In line with
previous research conducted in 14 districts/cities in West Kalimantan Province
regarding the relationship between stunting and HDI, the following results were
obtained: an increase in per capita income (X1) by 1 percent, then the
incidence of Stunting (Y) in West Kalimantan Province will increase by 18.16
percent. For every increase in the average length of school (X2) by one year,
the incidence of Stunting (Y) in West Kalimantan Province will decrease by
10.42 percent. For every 1 unit increase in the number of health facilities
(X3), the incidence of Stunting (Y) in West Kalimantan Province will decrease
by 1.23 percent.
The United Nations (UN)
projects that in 2035, Indonesia will experience a peak in productive
population growth called the demographic bonus, at which time the population of
productive age will constitute the most significant proportion of the total
population. With this productive
population growth, Indonesia has the potential for high human resource
competitiveness if supported by quality human resources. The problem of
stunting is a world problem that continues to be addressed in order to create
quality human resources. Likewise, Indonesia has made stunting a national
priority program so that stunting reduction can be accelerated.
Stunting is a chronic nutritional problem that occurs
due to a lack of nutritional intake over a long period due to the provision of
food that does not meet nutritional needs. Stunting occurs when the fetus is in
the womb and is only seen in children aged two years.
Malnutrition/undernutrition at a young age increases infant mortality rates and
makes patients more susceptible to disease and less able to maintain optimal
body posture as adults. The problem of high stunting rates is also a problem
for the Ketapang Regency Government, which, of course, has a serious impact on
the quality of human resources. As a result of stunting, sufferers' cognitive
abilities are reduced, and as a result, their productivity is reduced.
Therefore, it causes long-term economic losses. (RI, 2019) .
The prevalence of stunting is obtained from Riskesdas
and SSGI data; stunting data is also obtained based on Electronic
Community-Based Nutrition Recording and Reporting (EPPGBM) data, where you can
see data on the number of stunted children in Ketapang Regency per sub-district
as follows:
Table 2. Data on the Number of Stunted Children per District for 2018-2022
|
NO. |
Subdistrict |
Year |
||||
|
2018 |
2019 |
2020 |
2021 |
2022 |
||
|
1 |
Delta Pawan |
78 |
16 |
25 |
131 |
245 |
|
2 |
Kayong
Continent |
54 |
41 |
169 |
176 |
143 |
|
3 |
Muara Pawan |
57 |
28 |
99 |
126 |
116 |
|
4 |
Matan Hilir
Utara |
30 |
22 |
32 |
104 |
41 |
|
5 |
Matan Hilir
Selatan |
72 |
49 |
131 |
279 |
151 |
|
6 |
Kendawangan |
22 |
94 |
117 |
485 |
380 |
|
7 |
Malay River |
80 |
56 |
150 |
17 |
16 |
|
8 |
chew |
13 |
67 |
133 |
58 |
69 |
|
9 |
Tumbangtiti |
3 |
19 |
209 |
73 |
96 |
|
10 |
Jelaihulu |
27 |
80 |
115 |
65 |
115 |
|
11 |
Marau |
78 |
3 |
3 |
46 |
100 |
|
12 |
shovel |
109 |
2 |
11 |
12 |
17 |
|
13 |
Upas Water |
19 |
22 |
159 |
42 |
57 |
|
14 |
Sweet Eyes |
51 |
32 |
176 |
156 |
96 |
|
15 |
Nanga Tayap |
81 |
97 |
159 |
458 |
610 |
|
16 |
Sandai |
80 |
70 |
178 |
106 |
128 |
|
17 |
Upstream |
45 |
105 |
30 |
137 |
11 |
|
18 |
Junction Two |
36 |
96 |
72 |
9 |
3 |
|
19 |
Laur River |
78 |
112 |
211 |
255 |
351 |
|
20 |
Simpang Hulu |
24 |
46 |
78 |
104 |
100 |
|
1037 |
1057 |
2257 |
2839 |
2845 |
||
Source: ePPGBM in the 2018-2022 Health Service Profile
According to the data above, stunting cases in each
sub-district fluctuate a lot. From the data above, it can be seen that Nanga
Tayap District has experienced an increase in the number of stunted children
every year since 2018, and in 2022, it will have the highest number of stunting
cases in Ketapang Regency, namely 614 cases.
Stunting is a form of growth failure, namely chronic
malnutrition. In contrast to acute malnutrition, chronic malnutrition is a
condition that occurs over a long period. Even though stunted children appear
to have regular and proportional bodies, they are actually shorter than normal
children their age. Stunting is a cumulative process and can be caused by
malnutrition, recurrent infectious diseases, or both. Stunting may occur before
birth, and growth may be stunted during pregnancy due to poor nutrition, inferior
eating habits, consumption of low-quality foods, and frequent infections (United et al.'s Fund,
2009).
In the Long Term Development Plan (RPJP), it is
mandated that Indonesia's human development is directed at improving the
quality of life so as to produce superior Indonesian people. Human development
is essential because the success of a nation depends on the nation's ability to
prepare quality, healthy, intelligent, and productive human resources. These
human resources will play an essential role in utilizing available natural
resources to develop the country. Therefore, stunting must be handled well so
that Indonesia's human resources are superior. According to Bappenas, Stunting
can be caused by the following factors: the social environment, social
environment, economy, health environment, and residential environment. In line
with research results (Febriyanti et al.,
2022), stunting is a complex problem caused by many
factors. Until
now, stunting has become a global priority problem that must be addressed (De Onis
& Branca, 2016).
In the short term, stunting causes growth disorders,
cognitive and motor development disorders, suboptimal body size, and metabolic
disorders. In the long term, stunting causes a decrease in intellectual
abilities. The average intellectual quotient (IQ) score of children with
stunted growth is 11 points lower than that of normal children (United et al.'s Fund,
2009).
The head of BAPPENAS said in 2018 that in the long
term, stunting could result in economic losses of 2-3 percent of Gross Domestic
Product (GDP). Economic losses due to stunting will continue to increase every
year if stunting is not seriously intervened. Based on a descriptive study
conducted by (Suryana & Azis,
2023), stunting reduces productivity, thereby reducing GDP
(gross domestic product) by 11 percent and reducing the income of adult workers
by up to 20 percent. Therefore, researchers see the importance of conducting
this research so that they can see what factors cause stunting in Ketapang
Regency and calculate the amount of economic losses that the local government
will bear due to stunting. This research was also carried out so that research
on stunting would be more complete because most previous research still needed
to be completed.
Referring to the background above, stunting conditions
in children will reduce their productivity in the future. Considering that the
prevalence of Stunting in Ketapang Regency is higher than the prevalence
recommended by the World Health Organization (WHO), the incidence of Stunting
in Nanga Tayap District continues to increase. Based on previous research, the
research carried out was partial. Therefore, this research aims to find out and
analyze the influence of the factors that cause stunting and the value of
economic losses due to stunting in Ketapang Regency by using the factors that
cause stunting that are studied, namely food security, social environment,
health environment, and residential environment.
METHOD
The research method
used in this study is descriptive quantitative research. To
find out the factors that cause stunting, research will be carried out in the
Nanga Tayap District, Ketapang Regency, which is the most significant
contributor to stunting in Ketapang Regency. Primary research was carried out
within a period of one month. Research on economic losses was carried out in
Ketapang Regency. Secondary data used in this research uses data from 2018 to
2022. For primary data, the population taken was parents who have children
under five in the Nanga Tayap District area, with the number of respondents
based on the Slovin formula being 88 people with stunted children and 30 people
with a child who is not stunted. The data analysis technique used is the chi-square
test statistical analysis program facility using SPSS.
RESULTS AND DISCUSSION
This research uses two
data sources, namely primary data and secondary data. Research for primary data
was carried out in July 2023 with respondents who were residents of Nanga Tayap
District, which has a high prevalence with the highest number of stunting cases
in Ketapang Regency. One hundred eighteen people were respondents, with details
of 88 people having stunted children and 30 people having non-stunted children,
and determining the number of respondents using the Slovin formula with an
estimated error of 10 percent and a confidence level of 90 percent. Meanwhile,
secondary data was obtained from the Ministry of Health and the Central
Statistics Agency. Based on the primary data obtained, the characteristics of
the respondents can be identified, such as age, education kno, knowledge, and
income.
Table 3. Maternal Age Categories for Stunting Cases
|
Information |
Maternal Age Category |
Total |
||||||
|
Young age |
Ideal Age |
Old Age |
||||||
|
N |
% |
N |
% |
N |
% |
N |
% |
|
|
Stunting |
3 |
3,4 |
76 |
86.4 |
9 |
10.2 |
88 |
75 |
|
Not
Stunting |
0 |
0 |
26 |
86.7 |
4 |
13.3 |
30 |
25 |
|
Amount |
3 |
2.5 |
102 |
86.4 |
13 |
11 |
118 |
100 |
Source:
Primary data processed by SPSS 25
Based on the table
above, it can be seen that mothers who are young or under 18 years old have
three stunted children (2.5 percent). Based on health science, the reproductive
organs are not yet fully developed, so pregnant women under the age of 18 are
not ready to get pregnant. At risk of giving birth to a baby with a low birth
weight, namely under 2500 grams, and having a child with stunting. Mothers who
have the ideal age for starting a family, namely 16-35 years, have almost the
same percentage of stunting incidents, namely 76 people (86.4 percent) and 26
people without stunting (86 percent). It turns out that mothers of the ideal
age who should be better prepared to get pregnant and have children do not
guarantee that their children will not be stunted. Meanwhile, mothers older
than 36 years have a lower percentage of having stunted children, 9 (10.2
percent) than those who are not stunted, 4 (13.3 percent). Likewise, for
mothers over 36 years of age who have a high risk of becoming pregnant and
having children, it turns out there are also those who have children who are not
stunted. In Table 4, the characteristics of maternal education and maternal
knowledge regarding stunting can be seen as follows:
Table 4. Maternal
Education Category and Maternal Knowledge of Stunting
|
Information |
Have family
members ever received counseling about stunting? |
Mother's
Education Category |
Total |
|||||||
|
Yes |
No |
Low
education |
higher
education |
|
||||||
|
N |
% |
N |
% |
N |
% |
N |
% |
N |
% |
|
|
Stunting |
34 |
38.6 |
54 |
61.4 |
62 |
70.5 |
26 |
29.5 |
88 |
75 |
|
Not
Stunting |
10 |
33.3 |
20 |
66.7 |
20 |
66.7 |
10 |
33.3 |
30 |
25 |
|
Amount |
44 |
37.3 |
74 |
62.7 |
82 |
69.5 |
36 |
30.5 |
118 |
100 |
Source:
Primary data processed by SPSS 25
From the table above, it
can be seen that the education category is divided into 2, namely low education
for mothers who do not attend school, elementary school, or equivalent to
junior high school or equivalent and higher education for mothers who have
received high school or higher education. as many as 82 people (69.5 percent)
had a low level of education or. From this table, it can be seen that mothers
who have a low level of education have 62 stunted children (70.5 percent) and
20 who are not stunted (66.7 percent). Likewise, with knowledge about stunting,
as many as 74 people (62.7 percent). However, there is a phenomenon where
mothers who have higher education are accompanied by good knowledge regarding
stunting but have 26 children who are indicated to be stunted (29.5 percent).
In Table 5, you can see
the characteristics of family income. From this table, 35 people (30 percent)
received social assistance, which was distributed to families with 17 stunted
children (20 percent) and 18 people who were not stunted (60 percent). For
family income below the UMR, namely under 3 million rupiah, based on data on
the value of the Regional Minimum Wage (UMR) for Ketapang Regency in 2023, it
is IDR 3,085,615 which has been determined in accordance with the Decree of the
Governor of West Kalimantan Number: 1359/Nakestrans/2022 concerning Minimum
Wages West Kalimantan Province in 2023. Income below the UMR is the most
significant percentage, namely 92 percent, with a total of 108 respondents, of
which 82 families with stunted children (94 percent) and 26 families with
non-stunted children (87 percent).
Table 5. Family Income
Categories and Recipients of Social Assistance from the Government
|
Stunting
Description |
Recipients
of Social Assistance from the Government |
Family
Income Category |
Total |
|||||||
|
Yes |
No |
Above UMR |
Below UMR |
|||||||
|
N |
% |
N |
% |
N |
% |
N |
% |
N |
% |
|
|
Stunting |
17 |
20 |
71 |
80 |
6 |
6 |
82 |
94 |
88 |
75 |
|
Not
Stunting |
18 |
60 |
12 |
40 |
4 |
13 |
26 |
87 |
30 |
25 |
|
Amount |
35 |
30 |
83 |
70 |
10 |
8 |
108 |
92 |
118 |
100 |
Source:
Primary data processed by SPSS 25
In the following table,
you can see the distribution of participation and utilization of health
insurance in stunted and non-stunting families. In stunted families, only 61 families
(69 percent) have health insurance; this is very different from non-stunted
families, where all respondents already have health insurance and take
advantage of this health insurance when giving birth.
Table 6. BPJS Membership and Place of Delivery
|
Stunting
Category |
Does the
family have health insurance? |
Maternity
Category |
Total |
|||||||||||
|
Yes |
No |
Giving
birth at home with the help of a shaman |
Giving
birth at home, assisted by a shaman and midwife |
Giving
birth in a health facility |
Giving
birth with BPJS |
|||||||||
|
N |
% |
N |
% |
N |
% |
N |
% |
N |
% |
N |
% |
N |
% |
|
|
Stunting |
61 |
69 |
27 |
31 |
7 |
8 |
11 |
13 |
14 |
16 |
56 |
64 |
88 |
5 |
|
Not Stunting |
30 |
10 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
30 |
100 |
30 |
9 |
|
Amount |
91 |
77 |
27 |
22 |
7 |
6 |
11 |
9 |
14 |
12 |
86 |
73 |
118 |
100 |
Source: Primary data processed by SPSS 25
In the table above, it can
be seen that families with stunted children still gave birth at home with the
help of 7 traditional birth attendants (8 percent) and 11 people (13 percent)
assisted traditional birth attendants and midwives. However, most of them have
used health service facilities when giving birth.
Discussion
The prevalence and number of stunting cases in Ketapang
Regency fluctuated in the first three years. They tended to decrease in the
last two years. However, the prevalence of the Ketapang
Regency is still high, yet to be in line with the Ketapang Regency RPJMD target
of 20.1 percent in 2022, 16.7 percent in 2023, and 13.34 percent in 2024.
Meanwhile, Indonesia's target is to reduce stunting rates in children by 14
percent in 2024. According to WHO, stunting in an area is considered good
enough if it is below 20 percent.
Based on the research results in Table 3, it is known that maternal age
characteristics range from 15-47 years. Three mothers are 18 years old and
should still be children in accordance with Law Number 17 of 2016, which states
that a child is someone who is not yet 18 (eighteen) years old, including
children who are still in the womb. So you are at an age where you are not
ready to get married, let alone give birth to children. Of
the three mothers, the children were known to have stunted children.
This
research is in line with research (Yu et al., 2016) conducted
in 12 countries in Africa, Asia, and Latin America. Young mothers have an influence on height restrictions
for children from 0 to 11 months, which occurs in half of the countries
studied. Continued poorer growth after 24 months in children of younger mothers
was observed in all regions, but further research is needed to determine the
cause. The effect is about double (in terms of stunting prevalence) in Africa,
where there is a 10 percent increase in stunting prevalence for children of
young mothers.
However, the chi-square test carried out stated that
maternal age had no relationship with the incidence of stunting in Ketapang
Regency. Based on the results of this research, there are still many mothers
who have the ideal age to marry and have children who actually have stunted
children.
The results of this study are in line with the results
of research (Sihite et al., 2021) at Puskesmas 11 Ilir Palembang, which showed that the
maternal age variable did not affect the incidence of stunting. The
results of this research are in line with the results of this study, where the
majority of mothers were at the ideal age to get married and have children.
However, it turned out that their children were also stunted. Likewise, for
older mothers who are, of course, at high risk when giving birth to children,
it turns out there are also those who have children who are not stunted.
Based
on the research results in Table 4, it is known that mothers with low education
and minimal knowledge about stunting dominate stunting families. However, based
on the results of the chi-square test carried out, maternal education has no
relationship to stunting cases in Ketapang Regency. This low maternal education
will be closely related to social environmental factors, namely in terms of
child care, where mothers have an essential role in raising children. The level
of parents' education certainly has an impact on their children's health. This
is because parents are the first family for children where optimal growth and
development occurs through good nutrition. Parental education level is one of
the factors that influences the nutritional status of the family. Parents with
a lower level of education are more likely to experience nutritional problems
in their children compared to parents with a higher level of education. Parents
who are highly educated have a better understanding of healthy lifestyles, know
how to maintain a healthy body and adopt healthy lifestyles, including
consuming nutritious food. The level of education can influence each parent's
ability to obtain good information from health services regarding their child's
nutritional needs. The level of parental education has been proven to have a
good effect on children, preventing the possibility of stunting. In areas with
higher levels of education, the incidence of stunting in children under five
tends to be lower than in areas with lower levels of education. To minimize the
incidence of stunting in young children, the quality of parental education must
be the primary concern (Ngaisyah, 2015) (Pangaribuan & Wau, 2019) (Nurmawati et al., 2022).
Although
the findings in this study contradict the results of research (Ngaisyah, 2015) in
Kanigoro Village, Saptosari, Gunung Kidul, (Pangaribuan & Wau, 2019) at
the Medan Deli Community Health Center (Pertiwi et al., 2019) in
Martapura Kota District, Regency Banjar, South Kalimantan, (Sari & Suhardin, 2020) with
a systematic review of five databases (Scopus et al., EBSCO, ProQuest, and
PubMed) were explored to find relevant articles published from 2015 to 2020 and
(Nurmawati et al., 2022 ) Ramung
Community Health Center, Permata District, Bener Meriah Regency. Previous
research also found that the level of education also has a significant
influence on the incidence of stunting in toddlers. However, the level of
education must be increased, considering that the government has launched a
12-year compulsory education program, meaning compulsory education up to high
school level and equivalent.
The
family income in this study, as shown in Table 5, is mostly below the minimum
wage and is distributed between families with stunted and non-stunted children.
So, based on the results of the chi-square test, income has no relationship
with the incidence of stunting in Ketapang Regency. However, families with
children who are not stunted receive more social assistance than families with
children who are stunted. This social assistance apparently helps families
whose income is below the minimum wage to increase their family's food
security. Apart from that, there are still families with incomes above the
minimum wage that have stunted children. This means that the income they have
is not necessarily used to maintain their family's resilience. Community income
is an economic indicator that plays a vital role in economic growth in addition
to supporting economic growth. The increase in per capita income is also
reflected in the increase in regional gross income per capita (GRDP). As
people's income increases, people's ability to meet their daily needs will also
increase. This is because an increase in income is accompanied by an increase
in consumption, including an increase in purchasing power and consumption of
nutritious food.
Income
is the result of income or paid wages earned or generated by each person in a
family. When people experience an increase in income, it is hoped that family
needs can also be adequately met. Many factors influence the consumption
expenditure patterns of residents in an area, including income, consumer
tastes, prices of goods, education level, etc. Income is used for two purposes,
namely consumption and savings. The amount of income a person receives will
influence his consumption patterns. Price of goods, where if the price of an
item increases, then consumption of that item will decrease.
Conversely,
if the price of an expenditure item decreases, then consumption of that item
will increase. Education level is where the level of education influences
behavior, attitudes, and consumption needs. Number of families, where the size
of the family will influence consumption patterns. Environment, where
environmental habits will also influence the consumption behavior of people in
the area (BPSK Ketapang, 2022).
Based on BPS data in 2022, 55.93 percent of income in Ketapang Regency was
spent on food consumption. In the grouping of people's food consumption, five
foods are classified as healthy foods, namely fish, shrimp, squid, meat, eggs,
milk, vegetables, and fruit. Meanwhile, the types of food that are included in
the unhealthy consumption group are ready-made food and drinks, beverage
ingredients, cigarettes, and tobacco.
Income
is the ability of parents to produce resources. At the same time, stunting is a
health problem in toddlers caused by nutritional factors entering the body.
This means that high income is only sometimes allocated well to provide
nutrition for children. The demands of a lifestyle that tends to be dynamic are
often the main concern for families today.
The
results of this research show new developments. In a similar study that
examined the impact of income on the incidence of stunting, the results showed
that it was different from previous research that found that income had a
significant influence on the incidence of stunting. The influence between per
capita income and the number of babies affected by stunting has a significant
influence (Ngaisyah, 2015) (Pangaribuan & Wau, 2019).
From
this research, the results also showed that families with children who were not
stunted received social assistance from the government, which was given to
families with incomes below the minimum wage. This government policy is in
order to reduce extreme poverty in Indonesia for families at risk of stunting.
However, very few families with stunted children receive social assistance from
the government. This will relate to the use of health facilities during
childbirth and when the child is sick because there are still families with
stunted children who do not have health insurance. In fact, health insurance is
a form of social assistance for people in need.
The
results in Table 6 show that BPJS participation for families who are not
stunted is 100 percent, and the place of delivery is at a local health
facility. This shows that births carried out in health facilities are monitored
for health and development, thereby preventing cases of stunting. This is
different from families with stunted children; there are still those who give
birth at home with the help of a traditional healer because of local habits or
customs, which are traditions that have been passed down from generation to
generation. Although some respondents, after giving birth by a dukun, asked for
help from a midwife, health workers were not fully involved in health
monitoring. There are several cases where
health workers are called if difficulties occur during childbirth. Apart from
that, some give birth in health facilities but do not use BPJS because they are
lazy about taking care of the administration.
Factors Causing Stunting
Food Security Factors
Table 4. Food Security Factors Against Stunting
|
Food
Security Score Category |
Stunting |
Total |
p-value |
||||
|
Stunting |
Not
Stunting |
||||||
|
N |
% |
N |
% |
N |
% |
||
|
Not good |
62 |
95 |
3 |
5 |
65 |
55 |
0,000 |
|
Good |
26 |
49 |
27 |
51 |
53 |
45 |
|
|
Amount |
88 |
74 |
30 |
36 |
118 |
100 |
|
Source:
Primary data processed by SPSS 25
From the results of data analysis tests through statistical tests with a
significance level of 5 percent, a p-value of 0.000 is obtained, which is
smaller than the value of α = 0.05, so H0 is rejected, and Ha is accepted.
This shows that there is a significant relationship between food security and
the incidence of stunting in Ketapang Regency.
In Table 4, it is known that food security factors
have a significant relationship to the incidence of stunting. Family food
security is the continuous provision of sufficient food in both quality and
quantity for a family. Food security will affect the amount of nutrients
consumed if they are not appropriately eaten, which will have an impact on the
poor health of low-income families. According to (National, 2022), there are three pillars that form food security,
namely: physical food availability, household access to food in obtaining
sufficient food, whether from own production, purchases, bartering, gifts,
loans, assistance, food absorption or use. Food by family members and
nutritional status are outcomes of food security, which is a reflection of a
person's quality of life, good or bad. Nutritional status is calculated based
on life expectancy, under-five nutritional levels, and infant mortality (National, 2022).
Food access is related to the resources the family
has, such as:
1.
Economic access
includes income, employment opportunities, and prices.
2.
Physical access
refers to the level of regional isolation (distribution facilities and
infrastructure).
3.
A social approach
regarding food preferences.
This research is in line with the results of research (Sudargo & Armawi, 2019) at the Bandarharjo Community Health Center, Tanjung
Mas Village, North Semarang District, Semarang Municipality, Central Java
Province. The incidence of stunting in children under five is influenced by low
access to food both in terms of quantity and quality, in line with research
results (Widyaningsih et al., 2018) in Bayat District, Klaten Regency, (Walrod et al., 2018) in four Andean traditional communities in Ecuador, (Saraswati et al., 2021) in Karanganyar Village, Kawalu District, Tasikmalaya
City, (Weatherspoon et al., 2019) in rural Rwanda, (Beckmann et al., 2021) cross-sectional study of South African elementary
school children, (Sihite et al., 2021) at Puskesmas 11 Ilir Palembang, (Irmi, 2022) in Langkat Regency, North Sumatra Province, and (Harper et al., 2023) longitudinal study in South Africa.
Social
Environmental Factors
Table 7. Social Environmental Factors Against
Stunting
|
Social Environment
Score Category |
Stunting |
Total |
p-value |
||||
|
Stunting |
Not
Stunting |
||||||
|
N |
% |
N |
% |
N |
% |
||
|
Not good |
43 |
94 |
3 |
6 |
46 |
38 |
0,000 |
|
Good |
45 |
62 |
27 |
38 |
72 |
62 |
|
|
Amount |
88 |
74 |
30 |
36 |
118 |
100 |
|
Source:
Primary data processed by SPSS 25
From
the results of data analysis tests using statistical tests with a significance
level of 5 percent, a p-value of 0.000 is obtained, which is smaller than the
value of α = 0.05, so H0 is rejected,
and Ha is accepted. This shows that there is a significant relationship between
the social environment and the incidence of stunting in Ketapang Regency.
The
research results are presented in Table 7, where social-environmental factors
show significant results in the incidence of stunting. The family is the smallest unit of society. According
to the National Population and Family Planning Agency (BKKBN), a family is two
or more people formed based on a legal marriage bond, capable of meeting the
spiritual and material needs of a decent life, devoted to God, having a
harmonious and balanced relationship between family members and society as well
as the environment.
A person's social environment is first formed by the
family environment, which is the first medium that influences a person's
behavior, especially children. In the family environment, we are given a
variety of education so that children become independent. Not only
independence, but we can also guide children in making their own decisions to
develop their mental, social, emotional, and physical abilities to live a
healthy and productive life. For the atmosphere within the family environment,
we must create a conducive atmosphere, namely an atmosphere that is open to
each other, love each other, and trust each other. The family environment is a
provision for us to carry out socialization in a social environment that has a
broad scope, not only at home but we can also use it outside the home.
Therefore, the family has a responsibility in raising children.
Social and environmental factors are related to family parenting
patterns, which are strongly influenced by local customs. Good parenting is
affectionate, providing a safe, comfortable, and enjoyable environment for the
child's growth and development, providing continuous and non-violent care, and
providing a good example. Parenting patterns receive less attention from
parents because parents are busy working, so they cannot pay attention to their
children at home and provide nutritious food. They can only provide
ready-to-eat food without paying attention to the nutritional value needed by
children, which can result in stunting. This research is in line with the
results of previous research conducted by (Rahmawati & Rasni, 2019) in Arjasa District, Jember and (Saraswati et al., 2021) in Karanganyar Village, Kawalu District, Tasikmalaya
City, which confirmed that the role of the family in caring for children helps
prevent stunting in the family (Rahmawati & Rasni, 2019).
Health Environmental Factors
Table 8. Health Environmental Factors Against Stunting
|
Health
Environment Score Category |
Stunting |
Total |
p-value |
||||
|
Stunting |
Not
Stunting |
||||||
|
N |
% |
N |
% |
N |
% |
||
|
Not good |
39 |
90 |
4 |
10 |
43 |
36 |
0.002 |
|
Good |
49 |
65 |
26 |
35 |
75 |
64 |
|
|
Amount |
88 |
74 |
30 |
36 |
118 |
100 |
|
Source:
Primary data processed by SPSS 25
From
the results of data analysis tests through statistical tests with a
significance level of 5 percent, a p-value of 0.002 is obtained, which is
smaller than the value of α = 0.05, so H0 is rejected,
and Ha is accepted. This shows that there is a significant relationship between
the health environment and the prevalence of stunting in Ketapang Regency.
The
results of this study are presented in Table 8, showing that health and
environmental factors also have a significant influence on stunting rates. According to WHO, a healthy environment is "a
state that includes physical, mental, and social health but does not mean free
from disease and disability." The health environment influences the child
from before pregnancy until the child is two years old. According to the
Ministry of Health, the first thousand days of a child's life (1,000 HPK) are
the most critical period in a child's growth and development. The 1,000 HPK
period covers 270 days of pregnancy and 730 days of the first two years of
life. Where at this time, a balanced nutritional intake must be met, followed
by exclusive breastfeeding and complementary foods for breast milk (MPASI),
which meet the child's nutritional needs. During this period, the mother must
maintain her health so that she is able to give birth to a child with a minimum
weight of 2.5 kg and a baby length of at least 48 cm. It is recommended that
childbirth be carried out in a health facility so that health workers supervise
the mother and baby and meet post-natal needs so that the mother can receive
vitamin A and the baby can receive immunizations.
After the baby is born, growth and development must
constantly be monitored by taking the child to the posyandu to determine growth
according to age and receive immunizations. However, from the results of this
research, it is also known that mothers take their children to the posyandu
only until the child has received immunizations; after that, they are no longer
taken to the posyandu so that health workers or posyandu cadres do not monitor
the child's growth.
This research is in line with previous research, namely research (Cruz
et al., 2017) in the central region of Mozambique (Hayati et al.., 2019), (Nurmawati et al., 2022) Ramung Community Health Center, Permata District,
Bener Meriah Regency, (Titaley et al., 2019) using data from the 2013 Indonesian Basic Health
Survey (SDKI). However, the results of this study contradict the results of
research from (Pangaribuan & Wau, 2019) at the Medan Deli Health Center, where the health
environment, especially the use of health facilities, did not show a
significant relationship to the incidence of stunting.
Residential Environmental Factors
Table 9 . Residential Environmental Factors
Against Stunting
|
Residential
Environment Score Category |
Stunting |
Total |
p-value |
||||
|
Stunting |
Not
Stunting |
||||||
|
N |
% |
N |
% |
N |
% |
||
|
Not good |
80 |
68 |
25 |
21 |
105 |
89 |
0.311 |
|
Good |
8 |
7 |
5 |
4 |
13 |
11 |
|
|
Amount |
88 |
75 |
30 |
25 |
118 |
100 |
|
Source:
Primary data processed by SPSS 25
From
the results of data analysis tests through statistical tests with a
significance level of 5 percent, a p-value of 0.311 was obtained, which was
greater than the value of α = 0.05, so H0 was accepted,
and Ha was rejected. This shows that there is no significant relationship
between the residential environment and the incidence of stunting in the
Ketapang district.
The
research results presented in Table 9 show that the residential environment
does not have a significant relationship with stunting rates. According to HAKLI (Indonesian Association of
Environmental Health Professionals), "environmental conditions can support
a dynamic ecological balance between humans and their environment to support
the achievement of a healthy, strong, strong and happy quality of human
life." Modifying the environment to achieve ecological balance and
increase the level of human well-being. The results of this research look at
environmental sanitation and the availability of clean water. The majority of
respondents have private latrines, with ownership of a protected source of
clean water originating from springs channeled by the village to residents'
homes or wells made by residents independently. Poor living conditions have a
significant negative impact on children's growth and development due to
continued exposure to enteric pathogens.
This research is not in line with research from (Cumming &
Cairncross, 2016), which was conducted in South Asian and Sub-Saharan
African countries; it is known that the potential of water, cleanliness, and
sanitation to reduce stunting requires twice the effort to achieve universal
access to services. Even though this access is a Sustainable Development Goal.
There needs to be a new strategy or program modification so that it can go
beyond the scope of traditional interventions to be able to address the need
for clean water, sanitation, and the environment during the first two years of
life when the stunting process is concentrated. Likewise, the results of
previous research stated that the residential environment influences the
incidence of stunting, as written (Sari & Suhardin,
2020) a systematic review. Five databases (Scopus et al., EBSCO, ProQuest,
and PubMed) were explored to find relevant articles published from 2015 to
2020. Other research was done at the Ramung Community Health Center, Permata
District, Bener Meriah Regency (Nurmawati et al.,
2022).
Economic Losses
Table 10. Amount of Economic Loss per Person Due to Stunting in
Ketapang Regency
|
Big |
Loss |
Individual Sufferer |
Stunting in the District |
Ketapang With |
Assumption of Decline |
Productivity |
2%-9% |
|
Year |
Number of sufferers |
Economic Potential |
missing |
loss per person |
per year |
Average of Years |
loss per person 2018-2022 |
|
2% |
9% |
2% |
9% |
2% |
9% |
||
|
2018 |
21.340 |
403.565.729.604 |
1.816.045.783.216 |
18.910.856 |
85.098.850 |
||
|
2029 |
10.891 |
208.196.382.679 |
936.883.722.055 |
19.116.233 |
86.023.049 |
||
|
2020 |
8.705 |
200.363.494.851 |
901.635.726.828 |
23.016.802 |
103.575.609 |
90.101.154 |
|
|
2021 |
10.798 |
219.034.545.928 |
985.655.456.676 |
20.284.395 |
91.279.776 |
20.022.479 |
|
|
2022 |
10.798 |
202.834.176.522 |
912.753.794.349 |
18,784,108 |
84,528,485 |
||
|
AMOUNT |
62,533 |
1,233,994,329,583 |
5,552,974,483,124 |
100112393 |
450,505,770 |
From this table, it can be seen
that the amount of loss per person with a decrease in productivity of 2 percent
is at least Rp. 18,910,856.00, and the largest reaches Rp�23,016,802.00 per
year. For a decrease in productivity of 9 percent, you will experience a loss
of a minimum of IDR 84,528,485.00 and a maximum of IDR. 103,575,609.00. During
the 2018-2022 period, there will be an average economic loss of IDR. 20,022,479.00
due to a 2 percent decrease in productivity amo, uniting to Rp. 90,101,154.00
due to a decrease in productivity of 9 percent.
In Table 10, the magnitude of economic losses due to stunting varies
each year depending on the prevalence of stunting, where the more significant
the prevalence of stunting, the greater the economic losses incurred. Both
groups and individuals studied the economic losses due to stunting. The results
still show that stunting causes economic losses with different percentages
depending on the prevalence of stuntingStuntingarea or region being studied.
The enormous economic potential that will be lost due
to the stunting problem in Ketapang Regency when toddlers become stunted in
2018-2022 will have an impact on their productive years. The calculation of
losses due to stunting with a 2 percent decline in productivity reaches 200
billion rupiah, whereas, with a 9 percent decline in productivity, it can reach
1.8 trillion rupiah.
This research is in line with previous research
conducted by (Renyoet et al., 2016) using secondary data from surveys conducted by several
related agencies in Indonesia in 2013, especially by the Central Statistics
Agency and the Ministry of Health. The research was conducted in Bogor from
December 2015 to March 2016. The data was analyzed descriptively by calculating
economic losses due to stunting according to the Konig 1995 formula, using
coefficients compiled from Horton 1999. The research results show great
potential for the national economy. Losses due to stunting in children under five
range from 3.057 billion rupiah to 13.758 billion rupiah or 0.04 percent-0.16
percent of Indonesia's total GDP (Renyoet et al., 2016). (Titaley et al., 2019) she has conducted research using a descriptive method
using the Konig formula and the Horton correction factor to find that
Indonesia's Gross Domestic Product (GDP) would experience a loss of 2-3 percent
due to Stunting (Titaley et al., 2019). (Wardani & Renyoet,
2022) which was carried out using a literature study, it is estimated that it
will cause economic losses for Indonesia of 3,057 billion rupiah due to a 2
percent decline in productivity and reach 13,758 billion rupiah if the decline
in productivity reaches 9 percent (Wardani & Renyoet,
2022).
This is supported by research from (Suryana & Azis,
2023), which was carried out with a descriptive study based on secondary data
processing from various related agencies. As a nation, Indonesia faces
potential economic losses due to stunting in children under five years old,
which ranges from 15,062 to 67,780 billion rupiah. This is equivalent to a
range of 0.89-3.99 percent of total GDP in 2021 (16,970.8 trillion rupiah).
Research on economic losses due to Stunting in Indonesia was carried out by
Bappenas in 2018. Stunting can cause economic losses of 2-3 percent of Gross
Domestic Product (GDP) every year. Economic losses due to stunting continue to
increase every year if stunting is severely intervened. This research was also
carried out in other countries, such as that carried out by Sebastian (Mary, 2018), who observed the study in 74 developing countries
between 1984 and 2014. Research shows that StuntingStuntingper's economic
growth reduces labor market productivity, which causes a decrease in GDP.
(Gross Domestic Products) (Mary, 2018).
From the results of these studies, if this condition is not handled
correctly, it can affect Indonesia's development performance, as well as
inequality and poverty. Stunting can hamper economic growth and labor
productivity. In line with this, it will affect economic growth and hamper
labor productivity in Ketapang Regency.
CONCLUSION
Based on the results of research conducted to
look at the factors that cause stunting in Ketapang Regency, especially the
influence of food security, social environment, health environment, and
residential environment on the incidence of stunting in Ketapang Regency, it
can be concluded as follows: 1). ��������� This
research provides results that are suitable for three hypotheses, namely food
security factors, social, environmental factors and social, environmental
factors that influence the incidence of stunting in Ketapang Regency. One
hypothesis has not been proven to influence the incidence of stunting in
Ketapang Regency, namely residential environmental factors. 2) Food security
factors influence the incidence of stunting in Ketapang Regency. Family food
security depends on access to nutritious food that the family can consume in
order to improve the family's nutritional status. The government has made
efforts to increase access to food for underprivileged communities whose income
is below the minimum wage so that they can receive social assistance to
maintain family food security. 3) Social environmental factors influence the
incidence of stunting in Ketapang Regency. The social environment is closely
related to local customs. The social environment has a significant influence on
children's growth and development. Parenting styles in the family shape
children to become better. Families are expected to have sufficient knowledge
of child-rearing patterns so that they can direct families to care for children
well and correctly. 4) Health and environmental factors influence the incidence
of stunting in Ketapang Regency. A good health environment can help mothers
access health facilities properly so that they are able to maintain their
health by having prenatal check-ups during pregnancy, giving birth in health
facilities, bringing toddlers to the posyandu to monitor the child's growth and
development, getting complete immunizations for their beloved children. Ease of
access to health facilities increases the utilization of health insurance at
health facilities for participants who have health insurance/BPJS. 5)
Residential environmental factors do not influence the incidence of stunting in
Ketapang Regency, considering that stunting families and non-stunting families
have the same problems in accessing clean water and sanitation in the
residential environment. Access to clean water and environmental sanitation is
the responsibility of various sectors. This problem is a world problem whose
target is to be resolved by 2030. They consider clean water and adequate
sanitation to be basic human needs. 6) Economic losses due to stunting in
Ketapang Regency due to a decrease in productivity of 2 percent to 9 percent
range from 1.02 percent to 10.8 percent of Ketapang's GRDP or as much as 200
billion rupiah to 1.8 trillion rupiah. This loss is greater than the economic
loss due to Stunting in Indonesia because the prevalence of stunting in
Ketapang is higher than in Indonesia in general.
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