THE
RELATIONSHIP BETWEEN FOOD AVAILABILITY, HOUSEHOLD FOOD SECURITY, AND THE
HISTORY OF INFECTIOUS DISEASES WITH THE INCIDENCE OF MALNUTRITION IN TODDLERS
Ummu Aiman1, Witri
Agustiani2, Nur Indriani3, Hijratulmarah4,
Nurul Fuadi5
Universitas Tadulako, Sulawesi Tengah, Indonesia
[email protected]1, [email protected]2, [email protected]3, [email protected]4, [email protected]5
ABSTRACT
The aim of this study is to investigate and analyze
the relationship between food availability, household food security, and
history of infectious diseases with the occurrence of malnutrition in toddlers.
The method used in this research is an analytical survey with a cross-sectional
study design. The population in this study is toddlers aged 12-59 months in the
disaster-prone area of Pantoloan, with a sample of toddlers aged 12-59 months. The results of the study show a significant relationship between food
availability and the occurrence of malnutrition in toddlers (p = 0.000). This
means that toddlers who do not have guaranteed food availability in the last 12
months have a greater risk of experiencing malnutrition. However, no
significant relationship was found between a history of infectious diseases and
the occurrence of malnutrition (p = 0.566), possibly due to the mild and
non-persistent nature of malnutrition, which does not affect the toddlers'
immune system. Furthermore, a significant relationship was found between
household food security and the occurrence of malnutrition (p = 0.006). Many
families still need to prioritize adequate nutrition for their family, thus
improving access to food to meet nutritional needs is still necessary. The
study implies a deeper understanding of the factors influencing malnutrition in
toddlers in disaster-prone areas and provides a basis for the development of
appropriate interventions to improve the nutritional status of toddlers.
Efforts to improve food availability and household food security are expected
to reduce the risk of malnutrition in toddlers in the area.
Keywords: Malnutrition,
Food Availability, Household Food Security, History of Infectious Diseases.
Corresponding Author: Ummu
Aiman
Email: [email protected]
INTRODUCTION
Malnutrition
is a disorder resulting from an imbalance of nutrients needed for growth,
thinking activities, and all things related to life. Malnutrition in toddlers
is a serious public health problem. This problem often occurs in developing
countries, one of which is Indonesia. Geographically, 70-80% of children with
malnutrition live in low and middle-income countries. In Asia, malnutrition is
the most common cause of death among children under five (Pravana et al., 2017).
Based on data
from the World Health Organization (WHO), the prevalence of malnutrition and
malnutrition in 2019 globally was 13%. The highest prevalence of malnutrition
and malnutrition is in Southeast Asia at 25.5%. Based on 2018 Basic Health
Research (Riskesdas) data in Central Sulawesi, the prevalence of under-five
children experiencing malnutrition is 4.8%, under-nutrition 18.6%, good
nutrition 74.7%, and over-nutrition 1.8% (RI, 2018). Based on
data from the Palu City Health Service, in 2018, the number of cases of
malnutrition was 818 people, and this increased to 921 children under five in
2019. Based on data from the Pantoloan Health Center, the number of cases of
malnutrition in 2019 after the disaster was 18 people; in 2020, it was 43
people, and in 2021, the Pantoloan Community Health Center is in 1st place out
of 13 Community Health Centers in the city of Palu which experience many cases
of malnutrition with a total of 157 children under five. The working area of
the Pantoloan Community Health Center is located close to the coastline, which
was affected by the natural disaster of the tsunami and earthquake that
occurred on September 28, 2018.
The
nutritional problem that arises after a disaster is the need for more
consumption of balanced nutritious food in infants and toddlers due to economic
factors (Hutagaol, 2019). Cases of
malnutrition in 2018 and 2019 in Central Sulawesi increased following the
earthquake and tsunami disaster on September 28, 2018. The effects of the
disaster caused emergencies in various fields, including those involving food
and health issues. Insufficient food supplies are the beginning of a process of
decreasing health status, which in the long term will directly affect the level
of fulfillment of post-disaster nutritional needs (Nasrul et al., 2019).
Nutritional
problems in toddlers are a disruption to their health and well-being due to an
imbalance between intake and the body's need for food and the influence of the
interaction of infectious diseases. An imbalance in nutritional intake can
result in malnutrition. Good nutritional status is needed to determine whether
there is malnutrition in children under five (Ahmadi, 2013). Good
dietary status will increase productivity and create opportunities for better
economic conditions (Ministry of Health, 2019). History of
infectious diseases, food availability, and level of food security are several
factors that influence the occurrence of cases of malnutrition in toddlers.
Given that food shortages remain the leading cause of death for 2.5 million
children each year, it is challenging to realize the potential for more than
100 million underweight children under the age of five (IMT & ANGRAINI, nd).
Based on the
above background, the objective of this research is to identify and analyze the
relationship between food availability, household food security, and history of
infectious diseases with the occurrence of malnutrition in toddlers. Therefore,
the benefits of this study are expected to provide a deeper understanding of
the factors influencing malnutrition in toddlers in disaster-prone areas.
Additionally, this research is also expected to serve as a basis for the
development of appropriate interventions to improve the nutritional status of
toddlers, thereby facilitating efforts to improve food availability and
household food security to reduce the risk of malnutrition in toddlers in the
area.
METHOD
This type of
research is an analytical survey with a cross-sectional study design. This
research was conducted in the Pantoloan disaster-prone area, Central Sulawesi.
The selection of research locations used the purposive sampling method. Data
collection will be carried out in April 2023.
The population in
this study were toddlers aged 12-59 in the Pantoloan disaster-prone area,
Central Sulawesi. The sampling technique in this research used purposive
sampling. The samples in this study were toddlers aged 12-59 months who were in
the working area of the Pantoloan Community Health Center, Palu City, Central
Sulawesi. The process stages that will be carried out in this
research are depicted in the flow diagram in Figure 1 below:
Figure 1. Research
Flowchart
RESULTS AND DISCUSSION
Univariate Analysis
Univariate analysis was carried out to see a descriptive
picture of the dependent and independent variables studied using tables based
on the research results obtained. The univariate results in this study are as
follows:
Malnutrition
The frequency distribution of
malnutrition among children under five in the Pantoloan disaster-prone area,
Central Sulawesi, is seen in Table 1:
Table 1. Frequency Distribution of Malnutrition Events in Toddlers
in the Pantoloan Disaster Prone Area, Central Sulawesi
|
No. |
Nutritional status |
Frequency (n) |
Percentage (%) |
|
1. |
Normal |
30 |
35.2 |
|
2. |
Malnutrition |
55 |
64.8 |
|
|
Total |
85 |
100 |
Based on Table 1. Shows that from 85 samples of
toddlers aged 12-59 months in the Pantoloan disaster-prone area, Central
Sulawesi, there were 55 malnourished toddlers (64.8%) and 30 typical toddlers
(33%).
Food availability
The frequency distribution of
food availability in the Pantoloan disaster-prone area, Central Sulawesi, is
seen in Table 2:
Table 2. Frequency Distribution of Food Availability
in the Pantoloan Disaster Prone Area, Central Sulawesi.
|
No. |
Food availability |
Frequency (n) |
Percentage (%) |
|
1. |
Guaranteed |
38 |
44.7 |
|
2. |
Not Guaranteed |
47 |
55.3 |
|
|
Total |
85 |
100 |
Table 2 shows that the frequency of guaranteed food availability in the
last 12 months was 38 people (44.7%), and the frequency of food availability
that was not guaranteed was 47 people (55.3%).
History of Infectious Diseases
The frequency distribution of infectious disease history in potential
disaster areas in the Pantoloan Community Health Center working area, Palu
City, can be seen in Table 3:
Table 3.
Frequency Distribution of History of Infectious Diseases
|
No |
History of
Infectious Diseases |
Frequency
(n) |
Percentage
(%) |
|
1 |
No History |
70 |
82.4 |
|
2 |
There's History |
15 |
17.6 |
|
Total |
85 |
100.0 |
|
Table 3 shows that 70 children (82.4%) had no history of infectious
diseases, and 15 (17.6%) had a history of infectious diseases.
Household Food Security
The frequency distribution of household food security in potential
disaster areas in the working area of the Pantoloan Community Health Center,
Palu City, can be seen in Table 4:
Table 4. Frequency Distribution of Household Food
Security
|
No |
Household Food Security |
Frequency (n) |
Percentage (%) |
|
1 |
Food
Insecure |
37 |
43.5 |
|
2 |
Food
Security |
48 |
56.6 |
|
Total |
85 |
100.0 |
|
Based on Table 4, 48 children under five were food secure (56.6%), and 37
children (43.5%) were food insecure.
Bivariate Analysis
Bivariate analysis was used to determine the relationship between two
variables, namely the independent variable, which includes food availability,
Covid-19 pandemic conditions, parenting patterns, and the mother's level of
nutritional knowledge, with the dependent variable, namely the incidence of
malnutrition in toddlers aged 12-59 months. The statistical test used is the
Chi-Square test, with a confidence level of 90%.
The relationship between food availability and the incidence of
malnutrition in children under five.
The relationship between food availability and the incidence of
malnutrition among children under five in the Pantoloan disaster-prone area,
Central Sulawesi, was analyzed using Crosstabs in the Chi-Square test. The results of the relationship analysis can be seen
in Table 5:
Table
5. Relationship between Food Availability and Incidence of Malnutrition in
Toddlers
|
Availability Food |
Nutritional status |
n |
p-value |
|||
|
Normal |
Malnutrition |
|||||
|
n |
% |
n |
% |
|||
|
Guaranteed |
25 |
29.4% |
13 |
15.3% |
38 |
0,000 |
|
Not Guaranteed |
5 |
5.9% |
42 |
49.4% |
47 |
|
|
Total |
30 |
35.3% |
55 |
64.7% |
85 |
|
From the data in
Table 5. above, it shows that of the 38 toddlers who had guaranteed food
availability in the last 12 months, 25 people (29.4%) were ordinary, and 13
toddlers (15.3%) were undernourished. Meanwhile, of the 47 toddlers whose food
availability was not guaranteed in the last 12 months, 5 people (5.9%) were
ordinary, and 42 children (49.4%) were malnourished.
Based on the
results of the Chi-Square test, p = 0.000, so p < 0.1. H0 is rejected, and
H1 is accepted, meaning that there is a significant relationship between food
availability and the incidence of malnutrition among children under five in the
disaster-prone area of Pantoloan, Central Sulawesi. Forty-two children who were
not guaranteed food availability in the last 12 months experienced malnutrition
compared to 16 children who were certified food availability in the previous 12
months.
Relationship between
history of infectious disease and incidence of malnutrition
The relationship
between a history of contagious disease and the incidence of malnutrition in
potential disaster areas in the Pantoloan Community Health Center working area,
Palu City, was analyzed using crosstabs (Cross Tabulation) in the Chi-Square
test. The results of the analysis are seen in table 6:
Table
6. Relationship between history of infectious disease and incidence of
malnutrition
in
Potential Disaster Areas in the Pantoloan Community Health Center Working Area,
Palu City
|
History of
Infectious Diseases |
Nutritional
status |
n |
|
|||
|
Malnutrition |
Normal |
p-value |
||||
|
n |
% |
n |
% |
|||
|
There's History |
11 |
12.9 |
4 |
4.7 |
15 |
0.566 |
|
No History |
45 |
42.9 |
25 |
29.4 |
70 |
|
|
Total |
56 |
65.9 |
29 |
34.1 |
85 |
|
The data in Table 6
above shows that of the 15 toddlers who had a history of infectious disease, 11
people, or (12.9%) experienced malnutrition, and 4 people (or 4.7%) were
normal, while of the 70 toddlers who had no history of the disease, There were
45 infections (42.9%) who experienced malnutrition with normal nutritional
status of 25 children or (34.1%).
Based on the
results of the Chi-Square test, p = 0.566 < 0.1. So H0 is accepted, and H1
is rejected, meaning that there is no significant relationship between the
history of infectious diseases and the incidence of malnutrition in potential
disaster areas in the Pantoloan Health Center working area, Palu City. Toddlers
who do not have a history of infectious diseases are 45 more likely to
experience malnutrition than toddlers who have contagious diseases.
The Relationship
between Household Food Security and Incidence of Malnutrition
The relationship
between the history of infectious disease and the incidence of malnutrition in
potential disaster areas in the Pantoloan Community Health Center working area,
Palu City, was analyzed using crosstabs (Cross Tabulation) in the Chi-Square test.
The results of the analysis are seen in table 7:
Table
7. Relationship between household food security and incidence of malnutrition
|
Household
Food Security |
Nutritional
status |
n |
p-value |
|||
|
Malnutrition |
Normal |
|||||
|
n |
% |
n |
% |
|||
|
Food Security |
25 |
29.4 |
23 |
27.1 |
48 |
0.006 |
|
Food Insecure |
31 |
36.5 |
6 |
7.1 |
37 |
|
|
Total |
56 |
65.9 |
29 |
34.1 |
85 |
|
From the data in
Table 7 above, it shows that of the 48 food-secure households, 25 people
(29.4%) experienced malnutrition, 23 people (27.1%) had normal nutritional
status, and 31 people (36%) were food insecure. .5%) experienced malnutrition,
and 6 people (7.1%) had normal nutritional status.
Based on the
results of the Chi-Square test, p = 0.006 < 0.1. So H0 is rejected, and H1
is accepted, meaning that there is a significant relationship between household
food security and the incidence of malnutrition in potential disaster areas in
the Pantoloan Community Health Center working area, Palu City. Toddlers from
food-insecure households were more likely to experience malnutrition, namely 31
(36.5%).
Discussion
The Relationship between Food Availability and Malnutrition in Toddlers
Food availability is
the provision of food for the population in an area within a certain period,
which can be in the form of food and drinks originating from plants, livestock,
and fish. Family food availability is the family's ability to meet food needs
in sufficient quantities, both in quantity and nutritional quality, for all
family members (Suryana, 2003). Food availability
is the first activity that determines food consumption. So, efforts to achieve
excellent or optimal community nutritional status begin with providing adequate
food. Sufficient food availability is obtained through domestic food production
through agricultural efforts in producing staple foods, side dishes,
vegetables, and fruit (Widaryanti, 2019)
Food availability is
one of the indirect causal factors that will later be related to the nutrition
of children under five in a family. Food availability can be a determinant of
malnutrition that occurs in society. If food availability is met, nutritional
status will automatically become better, and this can result in a decline in
health status. Thus, food availability is closely related to nutrition and
health. Food availability that is less than the proper amount over a long
period can result in malnutrition even though the toddler does not suffer from
the disease (Rahmah et al., 2020). The availability of
food in the family greatly influences the amount of food intake of family
members. The better the availability of food for a family, it is possible to
fulfill all nutritional needs (Priswanti, 2005).
The results of the
study showed that of the 38 toddlers whose food availability was guaranteed in
the last 12 months, 25 people (29.4%) were ordinary, and 13 children (15.3%)
were undernourished. Meanwhile, of the 47 toddlers whose food availability was not
guaranteed, In the last 12 months, there were 5 people (5.9%) who were normal
and 42 children (49.4%) who were malnourished. Based on the results of the
Chi-Square test, p = 0.000, so p < 0.1. H0 is rejected, and H1 is accepted,
meaning that there is a significant relationship between food availability and
the incidence of malnutrition among children under five in the disaster-prone
area of Pantoloan, Central Sulawesi. Forty-two children who were not guaranteed
food availability in the last 12 months experienced malnutrition, compared to
only 16 children who were certified food availability in the previous 12
months. This happens because food availability is not guaranteed, which can
affect the nutrition of toddlers and other family members.
Based on the results
of the interviews, it is also known that most of the respondents in the
Pantoloan Community Health Center working area are the heads of the household
who work as laborers, and most of their income is below the minimum wage.
Families with an economic level whose income is below the minimum wage
experience difficulties in meeting their food needs due to the inability to
provide food that should meet their children's nutritional needs. Hence,
malnutrition among toddlers is still a problem in this place (Ramadhina, 2019). The availability of
sufficient food in the family or community also does not necessarily guarantee
that the nutritional needs of each family member are met because a person's
nutritional adequacy depends entirely on what they eat (Priswanti, 2005).
The results of this
research are strengthened by research (Rahmah et al., 2020), where the results of
the analysis of the relationship between food availability and the incidence of
malnutrition in children under five. The results of research using the
Chi-Square test obtained a p-value = 0.001, which shows that there is a
significant relationship between food availability and incidence of
malnutrition and malnutrition among toddlers living around the Untung Raya
Community Health Center. This research is also in line with research (Melati, 2014); the results of the
analysis using the Chi-Square test obtained p = 0.014 (p < 0.05), and it can
be concluded that there is a significant relationship between food availability
and the nutritional status of toddlers (malnutrition). In research (Arlius et al., 2017), which is also in line
with this research, the results show a relationship between food availability
and the nutritional status of toddlers (malnutrition) according to the BB/U
classification (p = 0.000).
Likewise, in research
(Ramadhina, 2019) titled The
Relationship between Family Food Availability and Feeding Patterns for Toddlers
with the Nutritional Status of Toddlers in Paya Geli Village, Sunggal District,
where the research obtained as many as 77 families (80.2%) whose family food
availability was guaranteed by undernourished category, namely 3 toddlers
(31.1%) and there are 19 families (19.8%) whose family food availability is not
guaranteed with the nutritional status of toddlers based on the BB/U index with
the undernourished category namely 5 toddlers (5, 2%) and stated that there was
a relationship between family food availability and the nutritional status of
toddlers (malnutrition) according to BB/U (p = 0.007).
Relationship between history of
infectious disease and incidence of malnutrition in toddlers
Infectious diseases
are a collection of types of diseases that quickly attack, especially children,
caused by viral infections, bacterial infections, and parasitic infections.
Factors that can cause malnutrition in toddlers are mostly related to poor diet
and severe and recurrent infections, especially in underprivileged populations (Idris et al., 2020).
The results showed
that of the 15 toddlers who had a history of infectious diseases, 11 people, or
(12.9%) were malnourished, and 4 people, or (4.7%) were ordinary, while of the
70 toddlers who had no history of infectious diseases, there were 45 people (42.9%)
who experience malnutrition with normal nutritional status of toddlers are 25
people or (34.1%).
Based on the results
of the Chi-Square test, p = 0.566 < 0.1. So H0 is accepted, and H1 is
rejected, meaning that there is no significant relationship between the history
of infectious diseases and the incidence of malnutrition in potential disaster
areas in the Pantoloan Community Health Center working area, Palu City.
Toddlers who do not have a history of infectious diseases are 45 more likely to
experience malnutrition than toddlers who have contagious diseases. Children
who suffer from infectious diseases for a longer duration are more likely to
have a more significant impact on nutritional status and are more likely to
experience sequelae due to general infections, which will weaken the child's
physical condition (Tasman, 2020). Pantoloan Community
Health Center is a community health center with the highest number of diarrhea
cases following the earthquake and tsunami disaster among community health
centers in the city of Palu. The population is 274 people and 81 families; in
the MDMC refugee camp, the population is 282 people and 74 families, with 209
cases of diarrhea in all age groups in 2019.
Meanwhile, the
results of the latest research obtained by researchers are different because
several toddlers who experienced infectious diseases such as acute respiratory
infections/diarrhea were immediately taken to the nearest health center and
treated quickly so as not to affect the nutritional status of the toddlers so
that the duration of the toddler's illness was not long. So, the infectious
diseases experienced by toddlers are not factors that influence toddlers'
experiencing malnutrition.
This research is in
line with research conducted by (Idris et al., 2020) that there is no
significant relationship between providing a history of infectious disease and
the incidence of malnutrition (p = 0.934). Most of the contagious diseases
suffered by toddlers in the last three months were immediately taken by the
parents of the respondents for treatment to the nearest health center or health
facility to get first aid so that the toddlers recovered quickly and the
duration or length of time the toddlers suffered from the disease was
relatively short (Idris et al., 2020).
This research is also
in line with research conducted by (Lestari & Pakkan, 2019) that there is no
significant relationship between providing a history of infectious disease and
the incidence of malnutrition (p = 1.00). This is because toddlers who have
malnutrition are still in the mild category and are not prolonged, so they
cannot affect the toddler's immune system (Lestari & Pakkan, 2019).
Other research that
is in line is (Kasim et al., 2019) that there is no
significant relationship between providing a history of infectious disease and
the incidence of malnutrition (p = 0.665). The main factors in the emergence of
infectious diseases are poor environmental conditions and low immunity status.
An environment in the house that is full of cigarette smoke also causes
children to be more susceptible to respiratory tract infections. Low immunity
status, apart from making it easier for children to get infections, also causes
the duration of infectious diseases to be longer (Kasim et al., 2019). Other research that
is in line with (Pakkan 2019) is that there is no
significant relationship between a history of infectious disease and the
incidence of nutritional status of children under five (P = 1.00). This is
because the illness suffered by the toddler is not prolonged, and the toddler's
immune system is stable (Lestari & Pakkan, 2019).
The Relationship
between Household Food Security and the Incidence of Malnutrition in Toddlers
Food security is an
essential aspect of achieving Sustainable Development Goals (SDGs). The second
goal of the SDGs is to end hunger, reach food security imp, improve nutrition,
and encourage sustainable agriculture (Arisman, 2008). If food security is
always less than adequate within a certain period, it can result in
malnutrition even though you do not suffer from the disease (Afrizal, 2017).
The results of the
study showed that from 85 respondents, 25 people (29.4%) of 48 food-secure
households were malnourished, and 23 people (27.1%) had normal nutritional
status. In contrast, 31 people who were food insecure ( 36.5%) experienced
malnutrition, and 6 people (7.1%) had normal nutritional status. Based on the
results of the Chi-Square test, p = 0.006 < 0.1. So H0 is rejected, and H1
is accepted, meaning that there is a significant relationship between household
food security and the incidence of malnutrition in potential disaster areas in
the Pantoloan Community Health Center working area, Palu City.
Toddlers from
food-insecure households were more likely to experience malnutrition, namely 31
(36.5%). Food insecurity has become a strategic issue in Indonesia. Food
production and demand that still need to be balanced are the main reasons why
the urgency of dealing with food insecurity is a government priority.
Population growth continues to increase, causing basic food needs to grow as
well. Socioeconomics is a concept used to measure socioeconomic status. A low
family economy will have an impact on the family's purchasing power. Apart from
that, low quality and quantity of food consumption is a direct cause of
malnutrition in children under five. Common socio-economic conditions are
related to health problems faced due to ignorance and inability to overcome
these various problems (Kartiningrum, 2015).
A person's income
level will influence the food sources they consume; this results in nutritional
intake, which in turn affects the nutritional status of children (Nurrizky & Nurhayati, 2018). The economic growth
in the Pantoloan area is still unstable due to the natural disaster that befell
the people of Central Sulawesi in 2018. Demographic conditions are very
conducive, and the climate is tropical, which alternates between hot sunlight
and sudden rain. Based on the results in the field, there are still many
families whose income is below the average regional minimum wage for the
district. Many families still need to prioritize fulfilling adequate nutrition
for the family, so access to food to meet nutritional needs still needs to be
improved.
This research is in
line with research conducted by (Jayarni & Sumarmi, 2018) that there is a
significant relationship between household food security and the incidence of
malnutrition (p = 0.045). Good food security will produce good nutritional
security. Nutritional security, which is nutritional intake and nutritional
status, is a prerequisite for the formation of healthy individuals (Jayarni & Sumarmi, 2018).
This research is in
line with research conducted by (Arlius et al., 2017) that there is a
significant relationship between household food security and the incidence of
malnutrition. In vulnerable and food-insecure families, there are many toddlers
whose nutritional status is good, whereas in food-secure families, there are
also toddlers whose nutritional status is poor. So nutritional status can be
influenced by several factors, namely, adequate food, family income, parental
education, parenting patterns for children/toddlers, and consumption of
nutritious food (Arlius et al., 2017).
This research is in
line with research conducted that there is a significant relationship between
household food security and nutritional status (p= 0.000). Farmer households in
the research location are generally households that have relatively low incomes
or are below the Regency Minimum Wage (UMK), so their welfare level is still
lacking. This means that farming households still spend a larger share on their
food needs and still need to prioritize meeting adequate nutrition for the
family (Safitri et al., 2017).
This research is in
line with research conducted by (Ramadani & Sodikin, 2020) that there is a
significant relationship between household food security and nutritional status
(p = 0.0001). Food needs are physiological needs. This basic physiological need
is a very crucial need for humans because humans can survive with food. When humans
get sufficient and nutritious food, they will be able to continue their life (Ramadani & Sodikin, 2020).
CONCLUSION
Based on the results of
research that has been carried out, the following conclusions were obtained: 1)
There is a relationship between food availability and the incidence of
malnutrition among children under five in the disaster-prone area of Pantoloan,
Central Sulawesi (p = 0.000). This means that children under five who were not
guaranteed food availability in the last 12 months were more likely to
experience malnutrition. 2) There is no relationship between a history of
infectious disease and the incidence of malnutrition in potential disaster
areas in the Pantoloan Community Health Center working area, Palu City (p =
0.566). This is because toddlers who have poor nutritional status are still in
the mild category and are not prolonged, so they cannot affect the toddler's
immune system. 3) There is a relationship between providing household food
security and the incidence of malnutrition in potential disaster areas in the
working area of Pantoloan Community Health Center, Palu City (p = 0.006). Many
families still need to prioritize fulfilling adequate nutrition for the family,
so access to food to meet nutritional needs still needs to be improved.
REFERENCES
Achmadi, U. F. (2013). Kesehatan masyarakat: teori dan
aplikasi. Rajawali Pers.
Afrizal, A. (2017). Faktor-Faktor Yang Berhubungan Dengan
Tingkat Kepuasan Pelayanan Gizi Pada Pasien Yang Mendapatkan Makanan Biasa Di
Ruang Rawat Inap RSUD Dr. Achmad Mochtar Bukittinggi Tahun 2017.
Universitas Andalas.
Arisman, M. B. (2008). Gizi dalam Daur Kehidupan. Buku
Kedokteran. Jakarta.
Arlius, A., Sudargo, T., & Subejo, S. (2017). Hubungan
ketahanan pangan keluarga dengan status gizi balita (studi di desa palasari dan
puskesmas kecamatan legok, kabupaten tangerang). Jurnal Ketahanan Nasional,
23(3), 359.
Hutagaol, E. K. (2019). Masalah Kesehatan Dalam Kondisi
Bencana: Peranan Petugas Kesehatan Partisipasi Masyarakat. Jurnal Ilmiah
Kesehatan Institut Medika Drg. Suherman, 1(1).
Idris, I., Samsudrajat, A., & Hapsari, D. I. (2020).
Faktor yang Berhubungan dengan Kejadian Gizi Buruk dan Gizi Kurang pada Balita
(Studi Kasus di Wilayah Kerja Puskesmas Sungai Durian Kabupaten Sintang). Jumantik,
7(2), 41�50.
IMT, Hubungan Indeks Massa Tubuh Angraini, R. D. W. I.
(n.d.). Program Studi Ilmu Gizi Fakultas Ilmu-Ilmu Kesehatan Universitas Esa
Unggul Jakarta.
Jayarni, D. E., & Sumarmi, S. (2018). Hubungan ketahanan
pangan dan karakteristik keluarga dengan status gizi balita usia 2�5 tahun
(studi di wilayah kerja Puskesmas Wonokusumo Kota Surabaya). Amerta
Nutrition, 2(1), 44�51.
Kartiningrum, E. D. (2015). Faktor risiko kejadian gizi
kurang pada balita di Desa Gayaman Kecamatan Mojoanyar Mojokerto. Hospital
Majapahit (Jurnal Ilmiah Kesehatan Politeknik Kesehatan Majapahit Mojokerto),
7(2).
Kasim, E., Malonda, N., & Amisi, M. (2019). Hubungan
antara riwayat pemberian imunisasi dan penyakit infeksi dengan status gizi pada
anak usia 24-59 bulan di kecamatan ratahan Kabupaten Minahasa
Tenggara.(Relationship between history of immunization and infectious disease
with nutritional status in. Jurnal Bios Logos, 9(1), 34�43.
Kemenkes. (2019). Cegah Stunting dengan Perbaikan Pola
Makan, Pola Asuh dan Sanitasi. Kemenkes RI.
Lestari, S. A., & Pakkan, R. (2019). Faktor-faktor yang
berhubungan dengan kejadian status gizi balita di wilayah kerja Puskesmas Mekar
Kota Kendari. MIRACLE Journal Of Public Health, 2(1), 121�133.
Melati, A. (2014). Hubungan Pengetahuan Ibu dan Ketersediaan
Pangan dengan Status Gizi Balita di Kelurahan Kurao Pagang Kecamatan Nanggalo
Tahun 2014. Padang: Politeknik Kesehatan Kemenkes Padang.
Nasrul, N., Candriasih, P., & Arifin, N. A. (2019).
Status Gizi Anak Balita Pasca Bencana di Pengungsian Kelurahan Buluri Kota Palu
Provinsi Sulawesi Tengah. Jurnal GIZIDO, 11(2), 71�80.
Nurrizky, A., & Nurhayati, F. (2018). Perbandingan
antropometri gizi berdasarkan BB/U, TB/U, dan IMT/U siswa sd kelas bawah antara
dataran tinggi dan dataran rendah di Kabupaten Probolinggo. Jurnal
Pendidikan Olahraga Dan Kesehatan, 6(1), 175�181.
Pravana, N. K., Piryani, S., Chaurasiya, S. P., Kawan, R.,
Thapa, R. K., & Shrestha, S. (2017). Determinants of severe acute
malnutrition among children under 5 years of age in Nepal: a community-based
case�control study. BMJ Open, 7(8).
Priswanti, P. (2005). Hubungan Ketersediaan Pangan
Keluarga Dan Tingkat Konsumsi Energi Protein, Fe, Asam Folat, Vitamin B12
Dengan Kejadian Kurang Energi Kronis (KEK) Dan Anemia Pada Ibu Hamil.
Program Studi Ilmu Gizi.
Rahmah, R., Arifin, S., & Hayatie, L. (2020). Hubungan
Ketersediaan Pangan dan Penghasilan Keluarga dengan Kejadian Gizi Kurang dan
Gizi Buruk pada Balita di Wilayah Kerja Puskesmas Beruntung Raya. Homeostasis,
3(3), 401�406.
Ramadani, K. A., & Sodikin, S. (2020). Hubungan penyakit
infeksi dan ketahanan pangan keluarga terhadap status gizi balita di puskesmas
kalimanah purbalingga. Jurnal Keperawatan Muhammadiyah.
Ramadhina, L. (2019). Hubungan Ketersediaan Pangan
Keluarga dan Pola Pemberian Makan Anak Balita dengan Status Gizi Balita di Desa
Paya Geli Kecamatan Sunggal. Universitas Sumatera Utara.
RI, K. K. (2018). Laporan Riskesdas 2018. Vol. 53,
Kementerian Kesehatan RI.
Safitri, A. M., Pangestuti, D. R., & Aruben, R. (2017).
Hubungan Ketahanan Pangan Keluarga Dan Pola Konsumsi Dengan Status Gizi Balita
Keluarga Petani (Studi Di Desa Jurug Kabupaten Boyolali Tahun 2017). Jurnal
Kesehatan Masyarakat (Undip), 5(3), 120�128.
Suryana, A. (2003). Kapita selekta evolusi pemikiran
kebijakan ketahanan pangan. (No Title).
Tasman, R. (2020). Model Regresi Robust Metode Least
Trimmed Square (LTS) Dan Estimasi S Pada Faktor Yang Mempengaruhi Stunting 0-59
Bulan. UNIVERSITAS AIRLANGGA.
Widaryanti, R. (2019). Pemberian Makan Bayi dan Anak.
Deepublish.
|
|
�
2024 by the authors. It was submitted for possible open-access publication
under the terms and conditions of the Creative Commons Attribution (CC BY SA) license (https://creativecommons.org/licenses/by
-sa / 4 .0/ ). |