|
Introduction
Undernutrition
refers to insufficient supply of energy and
nutrients, and inability to meet the body’s
requirements to ensure proper growth, maintenance
and physiological functions.[1] It covers
different health conditions such as stunting,
wasting, underweight and thinness. Undernutrition
remains an important public health issue affecting
the growth and mortality of children, especially
in low and middle-income countries.[2,3] Globally
in 2022, 149 million children under 5 years of age
were estimated to be stunted, 45 million were
estimated to be wasted, and nearly half of deaths
are linked to undernutrition.[4] According to the
National Family Health Survey-5 (2019-20) report,
India has the highest prevalence of stunting
(36%), wasting (19%) and underweight (32%).[5] The
negative effect of undernutrition among the
children can be short-term or even last for life
time. Children under 5 years of age are most
vulnerable to the vicious cycles of malnutrition,
infection and resultant disability.[6]
Undernourished children have a higher risk of
death from common childhood illnesses such as
diarrhoea, pneumonia, malaria, poor physical and
cognitive development, and an increased risk of
chronic disease in older age.[7-9] Besides these,
acute malnutrition can result in morbidity, death
and disability.[10] Both physical and mental
health development is a vital rights of children,
and a proper diet may help them reach their best
possible state of health.[11] The long-term
undernutrition in children leads to delay in motor
and skill milestones, low intelligence quotient,
lack of socialization characteristics, and more
prone to communicable diseases.[6] Other studies
also reported the increased risk of cardiovascular
disease, type 2 diabetes and rapid weight gain in
later years of life due to childhood
undernutrition.[12,13] Undernutrition in children
is caused by a complicated interplay of the
availability, accessibility, and use of food and
healthcare services, adolescent pregnancy, low
birth weight, lack of breastfeeding, poor
socioeconomic conditions, and personal dietary
preferences, etc.[14-16]
Therefore, under
this backdrop, the present study is conducted
among the Garo children of Chidaogre village of
West Garo Hills, Meghalaya to assess the
prevalence of undernutrition and some of the
associated causal factors.
Materials and methods
Meghalaya is one of
the hilly north-eastern states of India, bordering
Assam on the north and east, while Bangladesh on
the south and west, forming a 496 km long
international border. Meghalaya consists of three
major tribes, such as Khasi, Jaintia and Garo
having their own unique cultures, religion and
traditions. The Garo community is mainly found in
West Garo Hills of Meghalaya and its neighbouring
states like Assam, Tripura, Nagaland, and in
Bangladesh as minorities. According to their
beliefs and religion, the Garos are divided into
the Songsarek (following their
indigenous beliefs and practices) and the
Christians. It is a matrilineal society, and women
enjoy the highest privilege in the Garo family
structure.
Chidaogre is a
village located in the Rongram subdivision of West
Garo Hills district of Meghalaya. It is situated
25km away from the sub-district headquarter
Rongram and 37km away from the district
headquarter Tura. Like any other village of the
Garo Hills, Chidaogre was historically the Songsarek
homeland. As a result of exposure to other
cultures and religions over time, a considerable
portion of the people, particularly the young
people, became Christian. The main occupation of
the Garo people in the Chidaogre village is
agriculture. Traditionally, most of the Garo
people practiced slash and burn agriculture. Now,
with increasing access to education, few people in
the village are engaged in government services
like ASHA, Anganwadi worker, Anganwadi helper,
etc.
The cross-sectional
data for the present study were collected from 90
Garo children (40 girls and 50 boys) aged below 8
years through random sampling from Chidaogre
village of West Garo Hills, Meghalaya. The data
was collected during anthropological fieldwork
from 16th December, 2024 to 6th
January, 2025. Ethical approval was obtained from
the head of the village prior to data collection.
Participants were informed about the nature and
purpose of the study, and their informed consent
was obtained. The demographic data includes
general information like the name of the
informants, age, sex, family income, educational
qualification, occupation, type of house, source
of drinking water, etc. Data on the child’s
health, intake of food supplements, immunization,
duration of breastfeeding, mothers’ age at
marriage, etc. were collected from mothers.
Anthropometric measurements such as height and
weight of children were also collected using an
anthropometric rod and a weighing scale
respectively, following the standard
technique.[17]
Data on household
income were collected directly from the mother or
father of the child. The income was cross-checked,
taking into consideration some aspects of
socio-economic conditions like type of occupation,
type of house, etc. The income was classified as
high income group (above 75th
percentile), middle income group (between 75th
– 50th percentile) and low income group
(below 50th percentile). Data on the
educational qualification of mothers and fathers
were classified into two groups such as
primary/below primary (≤ class V) and secondary
and above (≥ class VI). Data on the occupation of
mothers were classified as farmers and others.
Others include government employees, daily wage
earners and housewives. Mother’s age at marriage
was classified as marriage before 18 years and
marriage at 18 years and above. Duration of
breastfeeding was classified as one year/below and
two years/above in the present study.
MS- Excel software
was used for statistical analyses of the data. The
information gathered during fieldwork was entered
and compiled in the MS-Excel. All the parameters
taken were analyzed statistically to find out the
mean and standard deviation. Z-score of -2SD for
age and sex was used to classify underweight
(weight for age), stunting (height for age) and
thinness (BMI for age) according to WHO.[18] The
prevalence of underweight, stunting and thinness
was analyzed with different variables. In order to
test the level of significance, t-test and
chi-square test were used in the present study.
Results
The Table 1 shows
that the majority of the mothers were farmers
(52.2%) and attained secondary and above level of
education (61.1%). Similarly, the majority of the
fathers were farmers (58.9%) and attained
secondary and above level of education (53.3%).
Most of the informants in the studied population
belong to middle-income group (38.9%). The Table
further shows that 57.8 percent of the informants
lived in nuclear families, and 61.1 percent of
them lived in kuccha houses. Jal Jeevan Mission
was the major source of drinking water (64.4%) in
the studied village.
|
Table 1: Socio-demographic
profiles of the studied Garo population
of Chidaogre village of West Garo Hills,
Meghalaya
|
|
Variables
|
Frequency (N)
|
Percentage
|
|
Girls
|
40
|
44.5 %
|
|
Boys
|
50
|
55.6 %
|
|
Mother’s occupation
|
|
Farmer
|
47
|
52.2 %
|
|
Other
|
43
|
47.8%
|
|
Mother’s education
|
|
Primary and below
|
35
|
38.9 %
|
|
Secondary and above
|
55
|
61.1%
|
|
Father’s education
|
|
Primary and below
|
42
|
46.7%
|
|
Secondary and above
|
48
|
53.3%
|
|
Father’s occupation
|
|
Farmer
|
53
|
58.9%
|
|
Other
|
37
|
41.1%
|
|
Family income
|
|
High income group
|
27
|
30.0 %
|
|
Middle income group
|
35
|
38.9 %
|
|
Low income group
|
28
|
31.1 %
|
|
Family type
|
|
Nuclear
|
52
|
57.8%
|
|
Joint
|
38
|
42.2%
|
|
House type
|
|
Kuccha
|
55
|
61.1%
|
|
Pakka
|
5
|
5.6%
|
|
Both
|
30
|
33.3%
|
|
Source of drinking water
|
|
Jal Jeevan Mission
|
58
|
64.4%
|
|
well
|
13
|
14.4%
|
|
other
|
19
|
21.2%
|
Table 2 shows that
the mean height of the boys (103.54±15.30 cm) was
slightly higher than the mean height of girls
(100.03±17.70 cm). However, the mean weight was
found to be more or less the same between boys
(15.06±4.75 kg) and girls (14.61±4.81 kg). The
frequency of both underweight (boys-30.0%,
girls-15.0%) and thinness (boys-32.0%,
girls-20.0%) was higher among boys than girls. The
frequency of stunting was found to be higher among
girls (22.5%) than boys (16.0%).
|
Table 2: Distribution of mean height,
mean weight and undernutrition among
children of Chidaogre village of West Garo
Hills, Meghalaya
|
|
Category
|
N
|
Mean±SD/Frequency
|
P-value
|
|
Height
|
|
Girls
|
40
|
100.03± 17.70 cm
|
t=0.992; p>0.05
|
|
Boys
|
50
|
103.54 ± 15.30 cm
|
|
Weight
|
|
Girls
|
40
|
14.61± 4.81 kg
|
t=0.448; p>0.05
|
|
Boys
|
50
|
15.06 ± 4.75 kg
|
|
Underweight
|
|
Girls
|
40
|
6(15.0%)
|
x2 =2.795; p>0.05
|
|
Boys
|
50
|
15(30.0%)
|
|
Stunting
|
|
Girls
|
40
|
9(22.5%)
|
x2 =0.612; p>0.05
|
|
Boys
|
50
|
8(16.0%)
|
|
Thinness
|
|
Girls
|
40
|
8(20.0%)
|
x2 =1.636; p>0.05
|
|
Boys
|
50
|
16(32.0%)
|
The higher frequency
of underweight was found to be more or less the
same between high-income families (18.2%) and
middle-income families (17.6%) among girls
(table-3). The frequency of stunting (27.3%) and
thinness (33.3%) was higher among girls from
high-income families and low-income families
respectively. However, the frequency of
underweight (43.7%) and stunting (37.5%) was found
higher among boys from low-income families. The
frequency of underweight (23.5%), stunting (23.5%)
and thinness (35.3%) was higher among girls whose
mothers are either illiterate or attained primary
education. However, the frequency of underweight
(37.5%), stunting (18.8%) and thinness (34.4%) was
higher among boys whose mothers attained secondary
and above level of education. The frequency of
underweight (15.0%) and thinness (20.0%) was found
the same among girls whose mothers are farmers and
engaged in other occupations. The frequency of
thinness (25.0%) was higher among girls whose
mothers are engaged in other occupations. However,
the frequency of underweight (39.1%), stunting
(26.1%) and thinness (39.1%) was higher among boys
whose mothers are engaged in other occupations.
|
Table 3: Prevalence of undernutrition in
relation to family income, mothers’
education and mothers’ occupation among
children of Chidaogre village of West Garo
Hills, Meghalaya
|
|
Category
|
N
|
Underweight
|
Stunting
|
Thinness
|
p-value
|
|
Family income
|
|
Girls
|
|
High-income group
|
11
|
2 (18.2%)
|
3 (27.3%)
|
2(18.2%)
|
x2 =2.352; p>0.05
|
|
Middle-income group
|
17
|
3 (17.6%)
|
4 (23.5%)
|
2(11.8%)
|
|
Low-income group
|
12
|
1 (8.3%)
|
2 (16.7%)
|
4(33.3%)
|
|
Boys
|
|
High-income group
|
16
|
3 (18.7%)
|
1 (6.3%)
|
6(37.5%)
|
x2 =5.849; p>0.05
|
|
Middle-income group
|
18
|
5 (27.8%)
|
1 (5.6%)
|
6(33.3%)
|
|
Low-income group
|
16
|
7 (43.7%)
|
6 (37.5%)
|
4(25.0%)
|
|
Mother’s education
|
|
Girls
|
|
Primary and below
|
17
|
4(23.5%)
|
4(23.5%)
|
6(35.3%)
|
x2 =1.774; p>0.05
|
|
Secondary and above
|
23
|
2(8.7%)
|
5(21.7%)
|
2(8.7%)
|
|
Boys
|
|
Primary and below
|
18
|
3(16.7%)
|
2(11.1%)
|
5(27.8%)
|
x2 =0.516; p>0.05
|
|
Secondary and above
|
32
|
12(37.5%)
|
6(18.8)
|
11(34.4%)
|
|
Mother’s occupation
|
|
Girls
|
|
Farmer
|
20
|
3(15.0%)
|
4(20.0%)
|
4(20.0%)
|
x2 =0.067; p>0.05
|
|
Others
|
20
|
3(15.0%)
|
5(25.0%)
|
4(20.0%)
|
|
Boys
|
|
Farmer
|
27
|
6(22.2%)
|
2(7.4%)
|
7(25.9%)
|
x2 =0.816; p>0.05
|
|
Others
|
23
|
9(39.1%)
|
6(26.1%)
|
9(39.1%)
|
The higher frequency
of underweight (22.2%), stunting (33.3%) and
thinness (33.3%) was found among girls whose
mothers married before 18 years of age (table-4).
Similarly, the higher frequency of underweight
(56.2%), stunting (31.2%) and thinness (43.7%) was
also found among boys whose mothers married before
18 years of age. The frequency of underweight
(girls-17.6%; boys-39.4%), stunting (girls-26.5%;
boys-21.2%) and thinness (girls-20.6%; boys-39.4%)
was higher in both boys and girls who received
supplementary foods. The frequency of underweight
(50.0%), stunting (50.0%) and thinness (50.0%) was
higher among girls who did not receive
immunization. However, it varies among boys. The
frequency of underweight (25.0%), stunting (31.2%)
and thinness (37.5%) was higher among girls who
breastfed for one year. Among boys, underweight
(33.3%) and stunting (20.0%) were found higher in
those who breastfed for two years. However, the
frequency of thinness (40.0%) was higher among
boys who breastfed for one year.
|
Table 4: Prevalence of undernutrition in
relation to mother’s age at marriage, food
supplement, immunization and duration of
breastfeeding among children of Chidaogre
village of West Garo Hills, Meghalaya
|
|
Category
|
N
|
Underweight
|
Stunting
|
Thinness
|
p-value
|
|
Mother’s age at marriage
|
|
Girls
|
|
Below 18 years
|
9
|
2 (22.2 %)
|
3 (33.3 %)
|
3(33.3%)
|
x2=0.039; p>0.05
|
|
18 years & above
|
31
|
4 (12.9 %)
|
6 (19.3 %)
|
5(16.1%)
|
|
Boys
|
|
Below 18 years
|
16
|
9 (56.2 %)
|
5 (31.2 %)
|
7(43.7%)
|
x2 =0.125; p>0.05
|
|
18 years & above
|
34
|
6 (17.6 %)
|
3 (8.8 %)
|
9(26.4%)
|
|
Food Supplement
|
|
Girls
|
|
Yes
|
34
|
6 (17.6 %)
|
9 (26.5 %)
|
7(20.6%)
|
x2 =1.960; p>0.05
|
|
No
|
6
|
0 (0.0%)
|
0 (0.0%)
|
1(16.7%)
|
|
Boys
|
|
Yes
|
33
|
13 (39.4 %)
|
7 (21.2 %)
|
13(39.4)
|
x2 =0.238; p>0.05
|
|
No
|
17
|
2 (11.8 %)
|
1 (5.9 %)
|
3(17.6%)
|
|
Immunization
|
|
Girls
|
|
Yes
|
34
|
3 (8.8 %)
|
6 (17.6 %)
|
5(14.7%)
|
x2 =0.433; p>0.05
|
|
No
|
6
|
3 (50.0 %)
|
3 (50.0 %)
|
3(50.0%)
|
|
Boys
|
|
Yes
|
40
|
12 (30.0%)
|
5 (12.5 %)
|
13(32.5%)
|
x2 =1.168; p>0.05
|
|
No
|
10
|
3 (30.0 %)
|
3 (30.0 %)
|
3(30.0%)
|
|
Duration of Breastfeeding
|
|
Girls
|
|
One year or below
|
16
|
4 (25.0 %)
|
5 (31.2 %)
|
6(37.5%)
|
x2 =0.713; p>0.05
|
|
Two years and above
|
24
|
2 (8.3 %)
|
4 (17.7 %)
|
2(8.3%)
|
|
Boys
|
|
One year and below
|
20
|
5 (25.0 %)
|
2 (10.0 %)
|
8(40.0%)
|
x2 =1.679; p>0.05
|
|
Two years and above
|
30
|
10 (33.3%)
|
6 (20.0 %)
|
8(26.7%)
|
Discussion
The present study
shows that the mean height of the boys was higher
than girls. However, the mean weight was found to
be more or less the same between boys and girls.
The present study shows a high prevalence of
undernutrition such as underweight, stunting and
thinness in both boys and girls. The findings of
the National Family Health Survey (NFHS-5) also
highlight Meghalaya as one of the highest child
malnutrition rates in India, particularly among
tribal communities.[5] Several studies show
undernutrition as a major public health problem in
low and middle-income countries.[8] The prevalence
of underweight, stunting and thinness varies
across different income groups among girls in the
present study. However, among boys, the prevalence
of both underweight and stunting was higher in
low-income families. Poor socioeconomic
conditions, cultural, insufficient nutrient intake
and environmental factors are considered as the
main causes of undernutrition in developing
countries.[19,20] The present study shows a higher
prevalence of underweight, stunting and thinness
among girls whose mothers are either illiterate or
have attained primary education. However, it was
higher among boys whose mothers attained secondary
and above levels of education. Several studies
show that children whose mothers attended
secondary or higher secondary education are at
lower risk of malnutrition compared to children of
mothers with no education.[21,22] Another study
shows that children of illiterate or less educated
mothers are more likely to be undernourished than
children of better educated mothers.[23] Parents
with higher education are more effective in
protecting their children from childhood
undernutrition.[24]
The prevalence of
underweight and thinness was found the same among
girls whose mothers engaged in different
occupations, but stunting was higher among girls
whose mothers engaged in other occupations than
farmers in the present study. However, these are
found higher among boys whose mothers engaged in
other occupations than farmers. A study shows that
children of mothers who work in agricultural
fields have a higher risk of malnutrition.[23]
Women working in agricultural fields and household
chores may be attributed to economic hardship, low
levels of education, and lack of necessary
knowledge about proper child care, especially in
rural areas.[25]
The present study
shows a higher prevalence of underweight, stunting
and thinness in both boys and girls whose mothers
married before 18 years of age. Children of
adolescent mothers are more likely to be stunted
and underweight compared to the adult mothers.
This could be due to poor maternal nutrition, less
education, less access to health services, poor
supplementary feeding practices, and substandard
housing situations.[26] Another study found that
young mothers’ age was associated with infants'
low birth weight, preterm birth, stunting, and
failure to complete secondary school.[27]
The girls who did
not get immunization show higher prevalence of
underweight, stunting and thinness in the present
study. However, it varies among boys. Immunization
is a cornerstone of public health, preventing
numerous infectious diseases that can lead to
malnutrition and death in children.[28] India is
home to one-third of the world’s under-five
children with no immunization despite being a
major producer of vaccines.[29,30] Undernourished
children often exhibit weak immune responses, and
increased susceptibility to infections even after
immunization.[28] The present study further shows
the higher prevalence of underweight, stunting and
thinness among girls who breastfed for one year.
However, the prevalence of underweight and
stunting was higher among boys who had been
breastfed for over two years. This undernutrition
was higher in both boys and girls who received
supplementary foods. Breastfeeding protects
children from infectious diseases and affects the
nutritional status of the children.[31] With
increasing age, children need supplementary foods
in addition to breastfeeding. A study shows that
an insufficient supply of supplementary foods
could be a reason for increasing undernutrition in
developing countries.[32]
In conclusion, the
present study highlights the high prevalence of
different forms of undernutrition in both boys and
girls. Underweight and stunting are higher among
boys from low-income families, though it varies in
different income groups among girls. Girls of
mothers who are illiterate or have attained
primary education show a higher prevalence of
undernutrition. Mothers who married before 18
years of age have higher undernourished children.
Immunized girls have a low prevalence of
undernutrition, although it varies among boys.
High frequency of undernourished children in
remote regions like Chidaogre village could be
attributed to lack of proper health care
facilities, poor socioeconomic conditions, poor
connectivity, improper nutrition, and lack of
cleanliness, etc. Therefore, it is necessary to
educate, spread awareness and knowledge,
especially in rural areas about undernutrition and
its health consequences in later years of life.
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