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Indian Pediatr 2020;57:811-814 |
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Iodine Deficiency
Disorders in Children in East Khasi Hills District of Meghalaya,
India
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Himashree Bhattacharyya,1
Chandan K Nath,2
Star Pala,1 GK
Medhi1 and Happy
Chutia2
From Departments of 1Community Medicine and 2Biochemistry, North
Eastern Indira Gandhi Regional Institute of Health and Medical Sciences,
Shillong, India.
Correspondence to: Dr Himashree Bhattacharyya, Assistant Professor,
Department of Community Medicine, North Eastern Indira Gandhi Regional
Institute of Health and Medical Sciences, Mawdiangdiang, Shillong,
Meghalaya, India. Email:
himashreebhattacharyya@gmail.com
Received: December 02, 2019;
Initial review: December 23, 2019;
Accepted: July 31, 2020.
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Objective: To assess the prevalence of iodine deficiency disorders
among school-going children in Meghalaya. Methods: Multi-stage 30
cluster sampling with probability proportionate to size (PPS) method was
used. Children (age 6-12years) were examined clinically for goiter.
Urinary iodine excretion (UIE) was performed by spectrophotometric
method. Iodine content in the salt was analyzed using iodized salt test
kits. Results: A total of 195 (7.22%) out of 2700 children had
goiter on examination. Goitre prevalence was significantly associated
with wasting (P<0.05) and stunting (P <0.001). The median
(IQR) UIE level was 150 (108.05 - 189.37) µg/dL. Nineteen (9.74%)
children had severe iodine deficiency (UIE<20µg/L). Iodine content was
above the recommended level of 15 ppm in 95.9% salt samples. A positive
correlation was observed between household salt consumption and UIE
levels (r=0.25; P<0.001). Conclusion: Iodine
deficiency disorder is a public health problem in Meghalaya, which needs
to be addressed.
Keywords: Urinary iodine excretion, Goiter, Iodized salt.
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Iodine deficiency disorder (IDD) has been
a major nutritional health problem in India. Sample surveys have
shown 263 out of 325 districts in India to be IDD-endemic with a
goiter prevalence of more than 10% [1]. Urinary iodine excretion
(UIE) and goitre are the most common indicators to assess iodine
status in a population. Urinary iodine is a good marker of
recent dietary iodine intake whereas goitre reflects past iodine
status [2]. The median UIE levels were 100 mcg/L in 86%
districts surveyed in India [3]. The Coverage Evaluation Survey,
2009 reported 91% population coverage of iodized salt in India
[4]. Even though use of iodized salt is high in Meghalaya at 98%
[5], no district level or state level surveys have been
conducted to assess the prevalence of goiter or to monitor the
impact of iodized salt.
The present study was conducted to obtain
baseline prevalence of IDD among school-going children (age 6-12
years) in Meghalaya, and to estimate the percentage of
households consuming the recommended level of iodized salt.
METHODS
This cross sectional study was conducted
among school going children of East Khasi Hills district of
Meghalaya from June, 2016 to December, 2018. The sampling
strategy was a multi-stage 30 cluster sampling method. The list
of all the villages/ wards in the East Khasi Hills district was
collected. A sample of 30 villages in the form of clusters was
selected from the district using probability proportionate to
size (PPS) systematic sampling. Thereafter, we selected one
school present in each cluster randomly for data collection
after getting the list from the Inspector of schools. Consent
was taken from the Director of mass education and Inspector of
schools, East Khasi Hills district. Written consent was taken
from the school authorities and the parents of all the children
who participated in the study, and assent from the children.
Ethical clearance to conduct the study was taken from the
Institutional ethics committee.
The estimated sample size was 2700 i.e.,
90 children per cluster. All children in the age group of 6-10
years were taken from school as the gross enrollment was 100%.
Children with known chronic diseases or thyroid disorders were
excluded from the study. Systematic random sampling was used to
select children from each class. In the age group of 11-12
years, four children per cluster were taken from the community
considering the gross enrollment around 70%. One lane was
randomly identified as the starting point in the respective
cluster. Children in the specific age groups were then selected
by visiting the household next to the random start following the
right hand rule till the required sample size was fulfilled.
Children were examined as per standards
prescribed by National Iodine Deficiency Disorder Control
Programme (NIDDCP). All children were examined clinically for
goiter by the standard palpation method and the score for goiter
was recorded using WHO criteria of grade 0, 1 and 2 [6]. All the
goiter cases reported clinically were verified by the principal
investigator. The district was considered as endemic district if
the total goiter rate was above 5% in children aged 6-12 years
[6]. Weight and height of each child was recorded and Z
scores were interpreted as per the WHO child growth standards.
Moderate and severe underweight were defined as weight-for-age
SDS £-2
and -3, respectively, and moderate and severe stunting as
height-for-age SDS £-2
and -3, respectively.
Urine samples were collected from all the
children in labeled plastic bottles (50 mL capacity with screw
cap and thymol crystal as preservative, and transported to the
laboratory in cold chain for spectrophotometric esti-mation of
iodine in urine. A median UIE level of >99 µg/L was taken as the
cut-off for adequacy for the population. Severe iodine
deficiency was defined at a level of <20 µg/L [6]. Every fifth
child selected in the class for goiter survey was instructed to
bring approximately 20 grams of household salt in auto seal
plastic pouches, which were distributed to the children a day
ahead of sample collection. The test kit produced by MBI
chemicals and procured from National Institute of Nutrition,
Hyderabad was used for estimation of iodine in the salt sample.
The salt samples were tested in the school as per manufacturer’s
instructions and iodine concentration was recorded as 0, <15 and
>15 ppm [7].
Statistical analyses: Data were
entered in MS Excel and analyzed using SPSS 19.0 version .
Pearson correlation coefficient and chi square test was used to
find out the association between continuous variables and
categorical variables.
RESULTS
A total of 2700 (1365 boys) children were
examined. The total goiter prevalence was 195 (7.22%) [grade 1
in 175 (6%) and grade 2 in 20 (0.7%) children], similar in both
genders. The prevalence was higher in the age group 9-12 years
(12.2%) than in younger children (5.5%); (P <0.001).
Ninety three (3.9%) and 631 (25.1 %) children were severe and
moderate underweight, respectively; 389 (16.8%) and 641 (31%)
children had severe and moderate stunting, respectively.
Table I shows the goiter prevalence with respect to
clinical and laboratory variables. The median (IQR) UIE levels
were 150 (108.05-189.37) µg/L.
Table I Clinical and Biochemical Characteristics of Goiter in Meghalaya, 2016-2018 (N=2700)
|
Goiter present |
Goiter absent |
|
(n=195) |
(n=2505) |
#Age |
|
|
6-<9 y |
91 (3.4) |
1655 (61.3) |
9-12 y |
104 (3.8) |
850 (31.5) |
‡UIE level (µg/L) |
|
|
>200 |
22 (0.8) |
412 (15.2) |
100-200 |
89 (3.3) |
1627 (60.2) |
50-99 |
53 (1.9) |
357 (13.2) |
20-49 |
12 (0.4) |
59 (2.2) |
<20 |
19 (0.7) |
50 (1.8) |
Gender |
|
|
Male |
101 (3.7) |
1264 (46.8) |
Female |
94 (3.5) |
1241 (45.9) |
*Weight-for-age |
|
|
Normal |
83 (3.1) |
1319 (48.8) |
Underweight |
112 (4.1) |
1186 (43.9) |
#Height-for-age |
|
|
Normal
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101 (3.7) |
841 (31.1) |
Stunted |
94 (3.5) |
1664 (61.6) |
Values in n (%); *P<0.05 and #P<0.001 for
inter-group comparison among those with goiter; ‡P<0.001
for comparison between those with and without goiter. |
A total of 518/540 (95.9%) salt samples
tested had iodine content >15 ppm. Most (97.9%) of the children
with goiter had salt iodine content >15 ppm. A positive
correlation was observed between household salt consumption and
UIE levels (r=0.25; P<0.001). Only 8 (0.3%)
families consumed open salt, while rest consumed packaged
iodized salt. Sixty (2.07%) families stored salt in open
containers.
DISCUSSION
The present study reported a 7.22% prevalence
of goiter in school-going children, which was more than 5%
cut-off, signifying that IDD was a public health problem in this
region.
A variable goiter prevalence of 2-12% has
been reported earlier from Madhya Pradesh [8], Karnataka [9] and
Jammu [10], respectively. The present study did not observe any
significant difference in goiter rates among males and females,
unlike earlier studies [11,12], which reported a higher
prevalence in females. This may be due to socio-cultural factors
and a positive attitude towards the girl child in this region. A
higher prevalence of goiter was seen in the 9-12 year age group
in this study, similar to an earlier Indian study [11]. A
significantly higher goiter prevalence was seen among
underweight and stunted children in the present study, as also
noted in other studies [13-15].
A significant association between goiter and
UIE levels was seen in this study. However, there may be some
discrepancy between UIE and goitre prevalence by the palpation
method, as UIE reflects the current iodine concentrations and
goiter indicates a chronic situation of iodine deficiency [16].
The median UIE levels were above the adequate cut-off level in
the study. Variable UIE levels (96.5-200 µg/L) have been
reported from other parts of India [8,10,17]. High goiter
incidence with normal median UIE, as in this study, has been
observed from some other regions in India as well [3]. This may
result as the thyroid size reflects previous iodine nutrition
and goitre may take years to shrink even after attaining iodine
sufficiency [18].
The iodine content of salt was optimum in the
present study, as reported earlier [9,10]. At the national
level, the household coverage of iodized salt was 91.7% with
77.5% of households consuming adequately iodized salt [19]. A
study from Mandya district of Karnataka showed higher iodine
content in more than 90% of the salt samples [20]. However, a
quarter of households were consuming inadequately iodized salt
in Madhya Pradesh [8].
The confirmation of iodine deficiency for
those with goiter could not be done by thyroid function tests
due to difficulty in obtaining serum samples from school-going
students. It was also difficult to predict the iodine status of
an individual by a spot sample of UIE instead of a 24-hour
sample, which was difficult to obtain due to technical reasons.
To conclude, the total goiter prevalence was
7.22% which suggests IDD as a significant public health problem
in this region. IDD control program in the region needs to be
strengthened with strong advocacy from the health sector.
Contributors: CKN: analysis of urine
samples, biochemical analysis; SP: finalization of concept
proposal, execution of project in field; GKM: critical review of
proposal, expert advice on data analysis and interpretation; HC:
storage of samples and biochemical analysis. HB: Study concept,
planning, supervision and preparation of manuscript. All authors
approved the final manuscript.
Funding: Indian Council of Medical
Research; Competing interests: None stated.
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WHAT THIS STUDY ADDS?
• The goiter prevalence in Meghalaya was 7.22%, with
adequate urinary iodine excretion levels and consumption
of adequately iodized salt in most households.
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