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Asian Journal of Healthy and Science
p-ISSN: 2980-4302
e-ISSN: 2980-4310
Vol. 3 No. 1 January 2024
MATERNAL FACTORS ON STUNTING AT SASI COMMUNITY HEALTH
CENTER, TIMOR TENGAH UTARA REGENCY
Maryam Permatasari
1
, Jose Giovanny
2
, Awliya
3
,
Elisabeth L.C. Tanuwijadja
4
, I Wayan Agung Indrawan
5
1,2,3,4
RSUD Kefamenanu, Indonesia
5
Universitas Brawijaya, Indonesia
Email: maryampermataa@gmail.com, josegiovanny110@gmail.com,
Awliya@alumni.ui.ac.id, drlelytan@gmail.com, iwa_obg@yahoo.com
Abstract
Stunting, defined as height-for-age more than two standard deviations below the
WHO’s child growth standards median has many long-term consequences. With a
high prevalence of stunting in the Kelurahan Sasi (10% in August 2023), we aim to
determine whether identified maternal risk factors align with the local context,
offering insights for effecting interventions in Timor Tengah Utara Regency. This is
a case-control study with a sample size of 103 children aged 6 to 59 months
participating in three Posyandu in Sasi Community Health Center. Maternal risk
factors impacting stunting occurrence are assessed through bivariate using chi-square
test and multivariate analysis using multiple logistic regression methods. Of the 103
children who attended Posyandu in Kelurahan Sasi, 28,1% of children exhibited
stunting, with statistically significant risk factors namely low maternal education, low
knowledge about stunting, low household wealth index, gestational age, and short
maternal height. Maternal education emerged as the primary risk factor for stunting
in Sasi Community Health Center (OR 6.0; 95% CI 2,3 to 4.5; P=0.0029). Maternal
education emerged as the primary risk factor on stunting in Sasi Community Health
Center, as indicated by both bivariate and multivariate analysis. Furthermore, low
household index and short maternal height were linked to a higher likelihood of
stunting, emphasizing the influence of economic factors. Maternal age and iron
supplementation did not emerge as statistically significant contributors to stunting,
contrary to previous findings, suggesting the need for further investigation despite the
study’s limitations. This study shows that several factors like maternal knowledge,
household wealth index, maternal education, maternal height, and maternal
gestation have a significant impact on the incidence of stunting. However, maternal
age and iron supplementation did not show any significant impact.
Keywords: Stunting, maternal education, household wealth index, gestational
age, gestational age
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INTRODUCTION
Stunting in children, defined as a height-for-age measurement that is more than
two standard deviations below the World Health Organization's child growth
standards median, is a significant public health issue, particularly in developing
countries (De Onis & Branca, 2016). Epidemiologically, stunting is not merely a
reflection of poor nutrition, but also a marker of persistent socio-economic problems
(Ssentongo et al., 2021). It is closely linked to maternal health factors, including
maternal nutrition, education, and health behaviors during and after pregnancy
(Martorell & Young, 2012). Therefore, studying about stunting requires an
epidemiological approach involving a detailed analysis of maternal health records,
child growth charts, and socio-economic data to understand the correlations and
causative factors leading to stunting (Manggala et al., 2018).
Stunting is not merely a temporary physical condition but has long-term health
implications, including increased susceptibility to chronic diseases and impaired
cognitive development (Prendergast & Humphrey, 2014). From a socio-economic
perspective, stunting perpetuates a cycle of poverty and poor health, with stunted
children often facing reduced productivity and earning potential in adulthood (Rizal
& van Doorslaer, 2019).
The Global Nutrition Report 2016 reported that the prevalence of stunting in
Indonesia ranks 108th out of 132 countries, with the second-highest prevalence of
stunting in the Southeast Asia region, following Cambodia (World Health
Organization, 2020). According to Studi Status Gizi Indonesia (SSGI) in 2019, the
predicted prevalence of stunting in Indonesia is 27,7%, 26,9%, and 24,4% for the year
2019, 2020, and 2021 respectively, with Nusa Tenggara Timur as the province with
the highest prevalence (Kementerian Kesehatan RI., 2015). According to Laksono et
al, the proportion of stunting in Indonesia is 20.1%, while Beal et al report a national
prevalence of approximately 37%. After routine weighings in February and August
2023, it was discovered that in Timor Tengah Utara Regency, Kota Kefamenanu,
specifically in the Kelurahan Sasi, the stunting rate was 12.9% (39 children under-
five years old) in February 2023, and in August 2023, it was 10% (32 children under-
five) years old. Considering our high prevalence of stunting and its long-term
consequences, we aim to investigate whether the maternal risk factors identified in
the current literature align with those prevalent in our area (Hanjahanja-Phiri, 2018)
(Bago et al., 2022).
To our knowledge, this is the first study conducted in the Sasi Community
Health Center which aims to determine the impact of maternal factors on the
incidence of stunting in children aged 6 to 59 months. Sasi Community Health
Center was chosen due to its location in the capital, and thus serves as a benchmark
for other health centers in Timor Tengah Utara regency. This study is an
epidemiological study to explore the relationship between maternal health and child
growth, guided by medical knowledge and public health principles. By adopting an
epidemiological approach, it seeks to unravel the multifaceted causes of stunting,
with a particular focus on maternal influences. The findings are expected to provide
actionable insights for healthcare providers, policymakers, and public health
13
practitioners, paving the way for effective strategies to combat stunting and improve
child health outcomes in Timor Tengah Utara Regency and beyond.
RESEARCH METHODS
This study is analytical observational research with a case-control study design.
The inclusion criteria in this study includes children aged 6 to 59 months, both
experiencing stunting and those who are not, participating in the Posyandu, and
receiving the questionnaire. The sample size was determined using the minimal
sample size formula for case-control studies, resulting in a total sample of 103
children, consisting of 29 case samples (stunting) and 74 control samples (non-
stunting). The determination of nutritional status (stunted/non-stunted) in
respondents refers to the results of the Bulan Timbang in August 2023. The sampling
technique used in this study is consecutive sampling (Mann, 2012).
We selected three Integrated Healthcare Centers (Posyandu) in the Sasi
Community Health Center’s working area for data collection, namely Sasi 1, Sasi 2,
and Upkasen. The data collection was conducted simultaneously at the three
Posyandu on Tuesday, October 11th, 2023. On that day, we delivered educational
materials on stunting to the Posyandu’s participants, followed by a brief discussion,
and lastly, the administration of questionnaires through individual interviews with
the parents.
A total of 207 parents attended those Posyandu, and 103 parents completed the
questionnaires. The filled questionnaires will be summarized and processed for
comparative analysis, which are bivariate with chi-square test, and multivariate with
multiple logistic regression method, using the SPSS 27 application. In this study,
seven variables were identified as maternal risk factors to be assessed for their impact
on the occurrence of stunting in our working area, namely maternal education,
household wealth index, stunting knowledge, maternal height, gestational age,
maternal age, and iron supplementation.
RESULTS AND DISCUSSION
Of the 103 children aged 6 to 59 months who attended Integrated Healthcare
Centers (Posyandu), 28.1% exhibited stunting based on height-for-age measurements,
while 71.9% did not display such growth impediments. Within this study, 15.5%
identified as having low birth weight, defined as being below 2500 grams. The mean
age of the participants' mothers at their initial childbirth ranged from 20 to 35 years.
Additionally, an assessment of the household wealth index for each child was
classified as delineated in Table 1. Comprehensive baseline characteristics of the
subjects and their parents are shown in Table 1.
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Table 1. Socio-demographic characteristics of parents and children in Sasi
Community Health Center.
Characteristics
n
%
Parents
Maternal age
20-35
82
79.6%
>35
21
20.4%
Parental education
Low (Uneducated/Elementary School/Junior High School)
33
32.0%
High (Senior High School/Bachelor)
70
68.0%
Household Wealth Index
<UMR
58
56.3%
>UMR
45
43.7%
Maternal Height
<150cm
29
28.2%
>150cm
74
71.8%
Children
Birth Weight
≥2500gr
87
84.5%
<2500gr
16
15.5%
Height-for-age
Stunted
29
28.1%
Non-Stunted
74
71.9%
Age
6-23 month
24-35 month
36-59 month
Bivariate analysis was used to compare nutritional status (stunted and non-
stunted) and the possible risk factor. It revealed that low parental education (OR 2.1;
95% CI 1.22 to 5.68; P=0.001), low income (OR 3.0; 95% CI 2.1 to 4.6; P=0.039),
Gestational age (OR 3.6; 95% CI 1 to 12; P= 0.039), stunting knowledge (OR 6.0;
95% CI 2,3 to 4.5; P=0.0029), and short maternal height (OR 5.7; 95% CI 2.2 to 14.8;
P= 0.001), were statistically significant associated with stunting (Table 2). However,
variables such as maternal age and iron supplement consumption were not associated
with stunting in Sasi Community Health Center.
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Table 2. Possible risk factors of stunting based on bivariate analysis.
Variables
Height-per-age
p-value
CI
Stunted, n(%)
Non-
stunted,
n(%)
Parental Education
0.001
3,113
21,301
Low
19 (65.5%)
14 (18.9%)
High
10 (34.5%)
60 (81.1%)
Household Wealth Index
0.039
2,6
1,032-
6,674
<UMR
21 (72.4%)
37 (50.0%)
>UMR
8 (27.6%)
37 (50.0%)
Stunting Knowledge
Poor
21 (65.5%)
36 (18.9%)
0.029
0.3
0,142-
0,918
Enough
8 (34.5%)
38 (81.1%)
Maternal Height
Short (<150cm)
16 (55.2%)
13 (17.6%)
0.001
5,775
2,243-
14,867
Normal (>150cm)
13 (44.8%)
61 (82.4%)
Gestational Age
<37 week
6 (20.7%)
5 (6.8%)
0.039
3,600
1,004-
12,912
>37 week
23 (79.3%)
69 (93.2%)
Maternal Age
High Risk
9 (31%)
12 (16.2%)
0.093
2,325
0,855-
6,323
Low Risk
20 (69%)
62 (83.8%)
Iron Supplementation
Yes
26 (89.7%)
69 (93.2%)
0.541
0.628
0,140-
2,817
No
3 (10.3%)
5 (6.8%)
The significant risk factors were analyzed further with double logistic regression
model analysis, as shown in Table 3. Maternal education was the main risk factor for
stunting in Sasi Community Health Center.
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Table 3. Multivariate Analysis of Risk Factors of Stunting
Variables
OR
95% CI
P-value
Maternal Education
6,1
1,9-19,2
0,002
Household Wealth Index
1,4
0,4-4,9
0,551
Maternal Height
1,9
0,6-5,9
0,238
Gestational Age
2,1
0,4-9,9
0,306
Stunting Knowledge
1,0
0,2-3,7
0,965
This paper examines maternal factors associated with stunting among children
6 59 months at the urban village of Sasi in the Timor Tengah Utara regency using
the data from the Public Health Office.
Maternal Education and Knowledge about Stunting
The average duration of schooling in Indonesia for girls is about 8 years,
equivalent to junior high school (SMP) (Badan Pusat Statistik, 2023). Therefore,
maternal education below junior high school level is considered low, and vice versa.
The result of our study suggests an association between low maternal education and
an increased likelihood of stunting, as evidenced by both the bivariate analysis (OR
2.1; 95% CI 1.22 to 5.68; P=0.001) and multivariate analysis. From the multivariate
analysis, maternal education emerged as the primary risk factor for stunting among
all variables (P=0.002). This finding was consistent with existing research, conducted
in Indonesia (Semba et al., 2008), Bangladesh (Rahman & Chowdhury, 2007), Iran
(Emamian et al., 2014), Cambodia (Ikeda et al., 2013), Nepal (Tiwari et al., 2014).
One study in Iran revealed that 70% of the socioeconomic disparities contributing to
childhood stunting are attributed to mother’s education (Emamian, 2013). This can
be associated with several reasons. Educated mothers are more likely to adopt
healthier lifestyles, understand the importance of child nutrition, access healthcare
services, therefore have more positive caregiving behaviors and effective feeding
practices, foster optimal child growth, improve socioeconomic status and overall
well-being (Akombi et al., 2017; Emamian et al., 2014; Wachs, 2008).
This study demonstrated a statistically significant association between the
knowledge about stunting among parents and the probability of stunting (OR 6.0;
95% CI 2,3 to 4.5; P=0.0029). This finding aligns with the preceding paragraph
regarding mother’s education level. Additionally, it may be associated with the lack
of awareness of stunting and appropriate feeding practices. Mothers may encounter
issues such as inadequate child appetite, a preference for outside snacks over home-
cooked meals, and reluctance to eat fruits and vegetables. In these circumstances,
some uneducated parents may choose not to insist on their children's food intake to
avoid crying and resistance (Candra, 2020).
Household Wealth Index
This study also revealed that low Household Wealth Index is significantly
linked to higher likelihood of stunting (OR 3.0; 95% CI 2.1 to 4.6; P=0.039).
Household Wealth Index is defined as a score of household assets, such as means of
17
transport, durable goods, and household facilities (Tiwari et al., 2014). In this paper,
we used UMR or regional minimum wage as a cutoff to determine whether their
household wealth index is high or low. Low parental wages is associated with low
purchasing power, resulting in typically reduced variety and quantity in food choices,
infrequent provision of eggs, meat, fish on a daily basis, thus leading to insufficient
intake of crucial nutrients, such as protein, vitamins, and minerals (Candra, 2020;
Marsaoly et al., 2021).
Furthermore, as we stated previously, educated mothers who are more
conscious about their children’s nutritional needs and health are typically associated
with wealthier households (Tiwari et al., 2014). Previous studies in Peruvian,
Cambodian, Bangladeshi children also identified household wealth index as a key
predictor for stunting in children under five years of age (Ikeda et al., 2013; Urke et
al., 2011).
Maternal Height
The final height achieved in adulthood is a product of the combined influence
of genetics and environmental factors throughout the growth period. In developing
countries, the failure of growth during the first 1000 days (conception to 2 years)
significantly influences the eventual adult height (Addo et al., 2013). Maternal height
was classified as 'at risk' when it fell below 150 cm (Kemenkes RI, 2015). Numerous
studies have investigated the immediate connection between maternal height and the
size of the child at birth and during specific postnatal stages. However, there is limited
information regarding the correlation between maternal height and the long-term
growth trajectory of offspring. Specifically, there is a gap in research exploring the
link between maternal height and linear growth in offspring during specific and
potentially crucial developmental periods postnatally (Addo et al., 2013).
The connection between maternal height and the linear growth of children
results from a combination of genetic factors and maternal environmental influences.
Shorter mothers often possess lower protein and energy reserves, smaller
reproductive organs, and a more confined space for fetal development, influencing
fetal growth through the placenta and infant growth through the quantity and quality
of breast milk. This situation may lead to intrauterine growth restriction, which is
also associated with short stature in children (Addo et al., 2013; Manggala et al.,
2018). A cycle of intergenerational malnutrition is anticipated in the future, wherein
children affected by stunting are likely to grow into short mothers who, in turn, may
give birth to stunted children (Utami et al., 2018).
In our study, short maternal height (OR 5.7; 95% CI 2.2 to 14.8; P= 0.001),
were statisctically significant associated with stunting. Our findings align with the
outcomes of a study done by Qurani et al. indicating a notable correlation between
genetic factors, represented by the mother's height, and stunting in the children,
Children born to mothers with a height below 150 cm had a 2.3 times greater risk of
experiencing stunting compared to those born to mothers with a height of 150 cm or
more. (p=0,044; OR=2,3; 95% CI).
18
This outcome aligns with research done in Yogyakarta in the case of children
aged 6-23 months, it was revealed that maternal height is significantly linked to the
occurrence of stunting. (Amin & Julia, 2016) Another study by Utami et al. similarly,
found that children between 0-23 months old, born to mothers with a height less than
150 cm, are 1.4 times more prone to developing stunting compared to those with
mothers who are 150 cm or taller. Addo et al. indicated that mothers with a height
below 150.1 cm were more prone to having a child who experienced stunting at 2
years (prevalence ratio = 3.20 (95% CI: 2.80-3.60) and as an adult (prevalence ratio
= 4.74, (95% CI: 4.13-5.44).
This outcome contrasts with the findings of a study conducted in Cianjur,
among children aged under five (6-59 months), indicating no correlation (p> 0.05, r
= 0.562) with maternal height and the nutritional status of children (height/age). This
outcome likely occurred due to the prevalence of nutritional and pathological issues
among the majority of short mothers in the study. Consequently, stunting did not
necessarily manifest in their children (Hanum et al., 2014).
Gestational Age
The gestational age at delivery was classified into three categories: preterm (<37
weeks), term (37-42 weeks), and post-term (>42 weeks). Preterm birth and
intrauterine growth restriction (IUGR) are the two fundamental biological factors
that contribute to low birth weight (LBW). Infants experiencing intrauterine growth
restriction (IUGR) during fetal development are essentially born malnourished. The
growth deficits observed from birth appear to significantly elevate the likelihood of
stunting up to the age of 2, contributing to short stature and an increased risk of
developing chronic diseases in later life (Sartika et al., 2021).
Research conducted in Banjarmasin demonstrated a noteworthy correlation
between gestational age at delivery and the occurrence of stunting in toddlers, similar
to our result. The study categorized gestational age at delivery into two groups:
preterm and term. According to the findings, preterm infants exhibited a 3.7 times
higher risk of developing short stature. The growth of preterm toddlers may be
impeded by the premature birth and the occurrence of linear growth retardation in
the uterus (Febriana & Sari, 2021)
In contrast to the findings of our study, Qurani et al discovered there is no
significant association between gestational age at delivery and the incidence of
stunting (p = 0.338). This aligns with the findings of other studies conducted by
Manggala et al. and Warsini et al.
Maternal Age
The incidence of stunting can also be influenced by maternal age. Younger
maternal age at childbirth correlates with an increased risk of intrauterine growth
restriction (IUGR), preterm birth, and undernutrition. Generally, younger mothers
exhibit lower nutritional statuses than their older counterparts, owing to their own
ongoing growth stage, potentially leading to competition for nutrients between the
mother and fetus, thereby limiting adequate nutritional intake for the child
19
(Habimana, 2019). Consequently, this may elevate the risk of low birth weight,
rendering infants more susceptible to stunting (Kathren G, 2016). Conversely,
advanced maternal age poses its own set of pregnancy risks, including increased
occurrences of preterm birth, IUGR, and various maternal health conditions that can
affect offspring (Fall D et al., 2015).
In our study conducted at the Sasi Community Health Center, maternal age did
not emerge as a significant contributing factor to stunting. Surprisingly, mothers
categorized as low-risk in terms of maternal age exhibited a higher likelihood of
experiencing stunting compared to those considered high-risk. These findings align
with prior research indicating that mothers within the middle age bracket (25-34
years) exhibited a higher propensity for stunting compared to their younger
counterparts (Habimana, 2019). While maternal age appeared as a predictive factor,
its direct impact on stunting may be indirect, possibly mediated through
socioeconomic, psychological, and educational factors, which in turn, influence the
growth and development of children (Akpinar and Teneler, 2022).
Iron Supplementation
Administration of iron supplementation among expectant mothers is
imperative in mitigating the occurrences of anemia, puerperal sepsis, low birth
weight, and stunting (Sari Kencana, 2023). Research indicates a notable threefold
increase in the likelihood of stunting among offspring born to mothers who did not
receive iron supplementation during pregnancy compared to those whose mothers
received such supplementation (Sari Kencana, 2023). In a retrospective cohort study
spanning seven South Asian countries, antenatal iron supplementation exhibited an
8% reduction in stunting risk, whereas the consumption of 120 iron supplementation
tablets demonstrated a 14% reduction (Nisar Y Bin, 2016).
In contrast, our study revealed no significant association between iron
supplementation and stunting, aligning with previous observations in China and
Nepal (Wang W, 2012; Stewart CP, 2009) where iron and folic acid supplementation
during pregnancy did not diminish the risk of infant stunting (Stanislav, 2023). It is
plausible that the lack of significance in our study stemmed from limited sample size
and insufficient statistical power. Despite our study's outcome suggesting no direct
link between iron supplementation and stunting, proactive measures should be
undertaken to minimize associated risks.
CONCLUSION
This study shows that several factors like maternal knowledge, household
wealth index, maternal education, maternal height, and maternal gestation have a
significant impact on the incidence of stunting. However, maternal age and iron
supplementation did not show any significant impact. It can be concluded that
maternal factors and the incidence of stunting have a significant relationship.
Therefore the Health Department including the Community Health Center and The
Public Health Office need to pay more attention not only to cases of stunting but also
to maternal factors that can influence the incidence of stunting in the future.
20
This study has several limitations due to the remote area where it was
conducted. Including the participant's illiteracy, inaccurate height measurement, and
a wide coverage area that was not accessible
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Copyright holders:
Maryam Permatasari1, Jose Giovann, Awliya, Elisabeth L.C. Tanuwijadja, I
Wayan Agung Indrawan (2023)
First publication right:
AJHS - Asian Journal of Healthy and Science
This article is licensed under a Creative Commons Attribution-ShareAlike 4.0
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