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Indian Pediatr Suppl 2009;46: S27-S35 |
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Validation of Developmental Assessment Tool
for Anganwadis (DATA) |
MKC Nair*, PS Russell†, RS Rekha‡, MA Lakshmi‡, S Latha‡,
K Rajee‡,
VS Preetha‡ and M Thajnisa‡
*Professor of Pediatrics and Clinical Epidemiology, and
‡Developmental Therapist, Child Development Centre,
Medical College, Thiruvananthapuram, Kerala, India, †Professor of
Psychiatry, Child and Adolescent Psychiatry Unit,
Department of Psychiatry, Christian Medical College, Vellore, Tamilnadu,
India.
Correspondence to: PS Russell, Professor of Psychiatry,
Child and Adolescent Psychiatry Unit, Department of Psychiatry, Christian
Medical College, Vellore 632 002, Tamilnadu, India. E-mail:
[email protected]
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Abstract
Objective: To develop, standardize, and partly
validate a developmental scale for toddlers (age, 1.6 to 3 years)
attending anganwadis in India.
Methods: After the development of the 12-item
Developmental Assessment Tool for Anganwadis (DATA), its internal
consistency, face validity, content validity and construct validity were
studied in 100 toddlers in anganwadis and were found to be appropriate.
A total of 429 toddlers with a mean (SD) age of 30.9(5.2) months from 36
randomly selected anganwadis were recruited for its standardization. Raw
scores were converted to standardized T-scores. Scoring pattern for
domains and aggregate developmental scores were formulated.
Results: Except for one item in the original
scale, all the items were endorsed by parents suggesting a good content
validity. Cronbach’s a
of 0.86 suggested a high internal consistency. Factor analysis
replicated the 2-factor structure explaining 56% of variance. An
aggregated developmental score based on the standardized T-scores
demonstrated that a DATA score between 33 and 28 suggested ‘at risk’ for
developing developmental delays. A score of
£27 suggested
already delayed milestones. A score of 27 to 16 suggested a ‘mild
delay’, a score of 15 to 5 suggested a ‘moderate delay’ and
£4 suggested a
‘severe delay’ in development.
Conclusion: DATA is a brief, simple and
psychometrically sound measure for use in anganwadis for identifying
toddlers at risk or with developmental delays. Differentially
identifying toddlers at risk or with developmental delay helps in
referring them for appropriate interventions.
Keywords: Anganwadi, Child, Developmental Scale, Normative,
Validation
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T he prevalence of developmental
delay in the general population in India is as high as 1.4-2.4%, among
children under 3 years of age(1,2). However, the mean age at which these
children attend early intervention, that maximizes the child’s
development, is 4(1.4) years, suggesting that majority of these children
are neither identified nor referred early(3). A logical, yet neglected,
population for early identification of developmental delays is children
attending Anganwadis, the largest Integrated Childhood Development
Services (ICDS) in the world, delivering health care to 98 million out of
the 160 million children between 2 and 6 years of age in India. Among its
beneficiaries, the prevalence of developmental disability is 2.7%(4) and
thus is as high as in the general population. Anganwadi workers have been
found efficient in identifying children with disabilities at anganwadis(4)
and the preschool component of anganwadis has been found effective in
improving the cognitive development of children between 3 to 5 years of
age(5).
The age of inception of toddlers in to anganwadis being
about 2 years, a measure to identify children at risk of developing a
developmental delay or with developmental delays at 2 to 3 years will
eminently suit the use of anganwadi workers. For the screening tool to be
simple and locally relevant, a norm referenced developmental measure based
on the reference values is required. We herein summarize two studies done
to achieve this goal. The first study describes the development of the
measure, Developmental Assessment Tool for Anganwadis (DATA) and its
partial criterion-referenced validation. The second study documents the
norm-referenced validation of the measure to identify children with
developmental delay for appropriate intervention.
Subjects and Methods
Study 1
Conceptualization and nature of the measure:
We wanted a brief scale to screen toddlers at risk for developing
developmental delays and those who already have developed developmental
delays while they attend the primary-care pediatric setting of anganwadis.
The differential identification of these two groups of children is needed
for organizing appropriate referrals. Also, we wanted the instrument to be
validated for toddlers around 2½ years of age. This age threshold was
important because of different reasons: (i) screening the toddler
immediately after contact with anganwadi will increase false-positivity,
as many of them might not have been exposed to stimulating environments;
and (ii) the anganwadi worker is also not familiar with the toddler
to make conclusions on ambiguous findings.
Item selection: We began by constructing a list of
milestones likely to be important to toddlers at risk or with
developmental delay. Items from various available developmental measures
namely the Denver Developmental Screening Test (DDST), Developmental
Assessment Scale for Indian Infants (DASII), The Receptive–Expressive
Emergent Language Test (REEL), Vineland Adaptive Behavior Scale (VABS)
were compiled. Additionally, three experts in the field of developmental
pediatrics, clinical psychology and child psychiatry ranked the items
collected on a 3 point scale where 1 was least important and 3 was most
important and thus 24 items were selected.
Item reduction: We followed the
concept-retention approach to
include the six domains of gross motor, fine motor, cognitive,
personal-social, expressive language, and receptive language. Secondly, to
maintain the Content validity, items in the domain were based on the
endorsement rate of an item, and the impact the item had on the parent as
a problem. To decrease the idiosyncratic response to a given question it
was decided a priori to include two items in each domain. Thirdly,
the choice of the two items in each domain was based on the statistical
procedures of loading pattern in the factor analysis (with clear loading)
and equidiscriminative item-total correlation (items with the highest
correlation with the overall score). Thus we selected the 12 items that
significantly overlapped in both these statistical procedures.
Endorsement category and response category format:
We decided on the dichotomous endorsement category of ‘emerged’ and ‘not
emerged’ for endorsing a milestone based on fixed criteria for pass
(Appendix 1). If the milestone has ‘emerged’, the age of the development
of the milestone in months was noted and for milestones ‘not emerged’, a
score of 0 was given by the anganwadi worker.
Standardization of score and scoring pattern: The
development of the milestones recorded in the form of raw scores (means
and standard deviations in months) was converted to standardized T-scores,
The mean and standard deviation of various milestones that have emerged or
not were converted to an equivalent T-score with a mean of 50 and a
standard deviation of 10 as shown in the data analysis(6). The definition
of ‘at risk’ for developmental delay and definite delay graded as ‘mild
delay’, ‘moderate delay’, and ‘severe delay’ was based on the standard
deviations of 1.5, 2, 3 and 4 on the lower side of the normative mean and
standard deviation, using the conventional standardization principles(7).
For the scoring pattern, the emerging age in months for
any skill was checked at the end of the assessment with a standardized
T-score equivalent. The arithmetic average of the items in a domain formed
the domain score and the arithmetic average of all the domain scores
provided the final Aggregate Developmental Score (ADS).
Sample size and sampling: A list of anganwadis was
collected from three geographically different districts in Kerala
(Thiruvananthapuran, Kottayam and Kozhikode) and 18 anganwadis from urban
and 18 anganwadis from rural areas of these districts were randomly
selected. A sample of 100 toddlers were included if they were 1.6 to 3
years of age and accompanied by a parent as the primary caregiver, from
the anganwadi area or anganwadi depending on the age.
Data analysis: The internal consistency of the 12
items in the DATA was evaluated with Chronbach’s µ. The construct validity
of the measure was analyzed using exploratory factor analysis. The Factor
structure of DATA was demonstrated by principal components analysis with
varimax rotation. Data was analyzed using SPSS
software version 16.
Study 2
Setting and sample: The study was conducted at
randomly selected anganwadis in the three districts of Kerala
(Thiruvananthapuram, Kottayam and Kozhikode), India. Toddlers (n=429)
between 1.6 to 3 years of age accompanied by a parent were included in to
the study from the anganwadi area or anganwadi. This sample size was
adequate as a sample size of minimum of 300 participants is required when
no other subgroup analysis is considered a priori(6).
Data collection: The data was collected
independently by six developmental therapists with an average experience
of 5.9 (1.2) years in assessing children with developmental delays. They
approached the toddlers for data collection after acquiring informed
consent from the parent and verbal assent from the aganwadi worker. The
study was approved by the institutional review board.
Data analysis: The normative data for the study
sample was generated using the mean and the standard deviation. From the
standard deviation for the norm, the standard deviations on the lower side
was calculated for those at risk for delay and those who already had
developmental delay. Thus, a standard deviation of 1.5 (at risk), 2 (mild
delay), 3 (moderate delay), 4 (severe delay) from the normative standard
deviation was calculated and formed the raw scores. The raw scores were
converted to standardized T-scores using the formula: T=50+[10*(raw
score-mean)/standard deviation], where raw score is the score for that
person on the scale, mean is the mean for that reference norm, and
standard deviation is the standard deviation for that reference norm.
Arithmetic average was calculated wherever appropriate. Data was analyzed
using SPSS software version
12.
Results
In study 1, with the item endorsement for assessing the
content validity, one item namely, ‘shows understanding of feeling,
verbalizing love, anger, sadness and laughter etc’ was not endorsed by
more than 90 percent of the parents and was dropped from the measure.
Thus, 23 items were available for statistical reduction of items and 12
items as decided before hand with the clear loading to one factor in the
factor loading and the highest correlation coefficients in the
equidiscriminative item-total correlations were selected (Table
1). In the reliability analysis, the internal consistency of the scale
was high with a Chronbach’s
a
value of 0.86.
TABLE I
Item Reduction for DATA
Item |
Loading pattern of
factors |
Equidiscriminative
correlation |
Gross motor |
|
|
Throws ball to an adult 5 feet
away |
Did not load |
0.35 |
Kicks stationary ball* |
Loaded |
0.57 |
Jumps in place* |
Loaded |
0.69 |
Balance on one foot |
Did not load |
0.64 |
Fine motor |
Build tower of 5 blocks |
Did not load |
0.59 |
Holds pencil adaptively |
Loaded |
0.20 |
Folds paper in to half in
imitation* |
Loaded |
0.62 |
Opens stacking barrel and takes
out* beads |
Loaded |
0.50 |
Cognitive |
Finds specific object on request* |
Loaded |
0.66 |
Names 4 common pictures |
Did not load |
0.71 |
Places object in/on/under on
request* |
Loaded |
0.69 |
Matches 3 colors |
Loaded |
0.56 |
Personal social |
Differentiate between edible and
non-edible substances* |
Loaded |
0.58 |
Shows understanding of feelings, verbalizing love, anger,
sadness and laughter etc. |
Poor endorsement, item deleted |
|
Proper bowel/bladder control
(during day time)* |
Loaded |
0.62 |
Puts on simple clothing |
Did not load |
0.64 |
Expressive language |
Combine 2 Different words |
Loaded |
0.70 |
Combine 2 words to express
possession* |
Loaded |
0.74 |
Does child ask question “What is
this?”* |
Loaded |
0.73 |
Uses words to express
relationships |
Loaded |
0.67 |
Receptive language |
Points to common objects
described by its use* |
Loaded |
0.56 |
Points to picture of Man/Woman |
Loaded |
0.41 |
Points to picture of action* |
Loaded |
0.63 |
Points to 8 body parts |
Loaded |
0.46 |
*Items selected for the final version of the measure
While we investigated the factor structure of the items
in the DATA, the principal component analysis reduced the 12-items to 2
components, an examination of the scree plot and eigen values (of >1)
showed a noticeable drop only after the second factor. A loading value of
³0.5
was considered significant. DATA items 1 (kicks stationary ball), 5 (finds
specific object on request), 7 (differentiate between edible and
non-edible substances), 8 (proper bowel/bladder control during day time),
9 (combines 2 words to express possession), 10 (does child ask question
"What is this?"), and 11 (points to common objects described by its use)
loaded on to factor 1 (Cognitive-social-motor-linguistic). DATA items 2
(jumps in place), 3 (folds paper in to half in imitation), 4 (opens
stacking barrel and takes out beads self-dislike), and 12 (points to
picture of action) loaded on to factor 2 (Motor-linguistic). DATA item
(places object in/on/under on request) cross-loaded in to factor 1 and 2,
thus were considered not specific to any domain of developmental
disability. Otherwise, all items loaded distinctively and without
cross-loadings (Table II). This 2-factor model explained 56%
of the variance.
TABLE II
Factor Structure of the Final Version of 12-Item DATA
Item |
Cognitive-social-motor-linguistic |
Motor-linguistic |
Gross motor |
Kicks stationary ball |
0.71* |
0.10 |
Jumps in place |
0.35 |
0.67* |
Fine motor |
Folds paper in to half in imitation |
0.35 |
0.60* |
Opens stacking barrel and takes out
beads |
0.003 |
0.73* |
Cognitive |
Finds specific object on request |
0.73* |
0.23 |
Places object in/on/under on request |
0.50 |
0.51 |
Personal social |
Differentiate between edible and
non-edible substances |
0.73* |
0.12 |
Proper bowel/bladder control (during day
time) |
0.75* |
0.16 |
Expressive language |
Combine 2 words to express possession |
0.85* |
0.19 |
Does child ask question “What is this?” |
0.76* |
0.29 |
Receptive language |
Points to common objects described by
its use |
0.53* |
0.27 |
Points to picture of action |
0.13 |
0.74* |
* Principal component analysis. Rotation method: Varimax with Kaiser normalization; * loadings > 0.50
In study-2, 429 toddlers participated in the study and
among them 229 were boys and 200 were girls. Most of the children were
from the low socio-economic status and were between the chronological ages
of 18 to 50 months [mean (sd)=30.9(5.2)]. Most of the skills corresponding
to the items in the measure emerged between 31 to 33 months. The normative
data for referencing DATA was extrapolated from the mean ages and standard
deviations at which the milestones emerged and are summarized in
Table III. These raw scores converted to standard T-scores are
presented in Table IV. The scoring key based on the
standardized score to identify toddlers at risk for developing development
delay and those who showed developmental delays are summarized in
Table V.
TABLE III
Normative Data on Milestones of 2-3 Years Old Children and Extrapolated Delays
Based on the Standard Deviations*#
Item |
Normal
development |
At
risk |
Mild
delay |
Moderate
delay |
Severe
delay |
Grossmotor |
Kicks stationary ball |
31.3(4.9) |
39 |
41 |
46 |
51 |
Jumps in place |
32.9(3.9) |
39 |
43 |
47 |
51 |
Fine motor |
Folds paper in to half in imitation |
32.2(4.4) |
39 |
41 |
45 |
50 |
Opens stacking barrel and takes out beads |
32.2(4.8) |
39 |
42 |
47 |
51 |
Cognitive |
Finds specific object on request |
31.6(4.6) |
39 |
41 |
45 |
50 |
Places object in/on/under on request |
32.2(4.3) |
39 |
41 |
45 |
49 |
Personal social |
Differentiate between edible and non-edible substances |
31.4(4.8) |
39 |
41 |
46 |
51 |
Proper bowel/bladder control (during day time) |
31.7(4.5) |
39 |
41 |
45 |
50 |
Expressive language |
Combine 2 words to express possession |
31.6(4.6) |
39 |
41 |
45 |
50 |
Does child ask question “What is this?” |
31.9(4.4) |
39 |
41 |
45 |
50 |
Receptive language |
Points to common objects described by its use |
31.5(4.9) |
39 |
41 |
46 |
51 |
Points to picture of action. |
33.0(4.2) |
38 |
41 |
46 |
50 |
* All figures in months adjusted for the decimal; # At risk= 1.5 SD; Mild delay=2 SD;
Moderate delay = 3 SD; Severe delay =4 SD
TABLE IV
Conversion of Raw Score to Standardized Scores for DATA Based on T scores*
Item |
At risk |
Mild delay |
Moderate delay |
Severe delay |
Grossmotor |
Kicks stationary ball |
30 |
25 |
12.5 |
0 |
Jumps in place |
33.3 |
26.6 |
13.3 |
0 |
Fine motor |
Folds paper in to half in imitation |
32.5 |
27.5 |
17.5 |
5 |
Opens stacking barrel and takes out beads |
32.5 |
25 |
12.5 |
2.5 |
Cognitive |
Finds specific object on request |
32.5 |
27.5 |
15 |
5 |
Places object in/on/under on request |
32.5 |
27.5 |
17.5 |
7.5 |
Personal social |
Differentiate between edible and non-edible substances |
32.5 |
25 |
15 |
2.5 |
Proper bowel/bladder control (during day time) |
32.5 |
27.5 |
17.5 |
5 |
Expressive language |
Combine 2 words to express possession |
32.5 |
27.5 |
15 |
5 |
Does child ask question “What is this?” |
35 |
30 |
17.5 |
7.5 |
Receptive language |
Points to common objects described by its use |
32.5 |
25 |
12.5 |
0 |
Points to picture of action |
35 |
27.5 |
17.5 |
7.5 |
*1SD delay in months in achieving a specific milestone is equivalent to 1SD in the T score
TABLE IV
Conversion of Raw Score to Standardized Scores for DATA Based on T scores*
Item |
At risk |
Mild delay |
Moderate delay |
Severe delay |
Grossmotor |
|
|
|
|
Kicks stationary ball |
30 |
25 |
12.5 |
0 |
Jumps in place |
33.3 |
26.6 |
13.3 |
0 |
Fine motor |
|
|
|
|
Folds paper in to half in imitation |
32.5 |
27.5 |
17.5 |
5 |
Opens stacking barrel and takes out beads |
32.5 |
25 |
12.5 |
2.5 |
Cognitive |
|
|
|
|
Finds specific object on request |
32.5 |
27.5 |
15 |
5 |
Places object in/on/under on request |
32.5 |
27.5 |
17.5 |
7.5 |
Personal social |
|
|
|
|
Differentiate between edible and non-edible
substances |
32.5 |
25 |
15 |
2.5 |
Proper bowel/bladder control (during day
time) |
32.5 |
27.5 |
17.5 |
5 |
Expressive language |
|
|
|
|
Combine 2 words to express possession |
32.5 |
27.5 |
15 |
5 |
Does child ask question “What is this?” |
35 |
30 |
17.5 |
7.5 |
Receptive language |
|
|
|
|
Points to common objects described by its use |
32.5 |
25 |
12.5 |
0 |
Points to picture of action |
35 |
27.5 |
17.5 |
7.5 |
*1SD delay in months in achieving a specific milestone is equivalent to 1SD in the T score
TABLE V
Scoring Key for DATA*
Delay in specific domains# |
Domains in DATA |
Total |
|
Gross
motor |
Fine
motor |
Cognitive |
Personal
social |
Receptive
language |
Expressive
language |
severity of
delay as in
ICD-10† |
At risk |
32 |
33 |
33 |
33 |
34 |
34 |
33-28 |
Mild delay |
26 |
26 |
28 |
26 |
28 |
26 |
27-16 |
Moderate delay |
13 |
15 |
16 |
16 |
16 |
15 |
15-5 |
Severe delay |
0 |
4 |
6 |
4 |
6 |
4 |
£ 4 |
* All scores
adjusted for decimals; # Specific domain scores are based on the
arithmetic average of the scores for the 2 items in that domain; †
Total scores are based on the arithmetic average for all the 6
domains and compared with ICD 10 categorical classification |
Discussion
This short, simple to use and psychometrically sound
measure based on the developmental norms of the anganwadi children, offers
anganwadi workers a more efficient way of identifying toddlers at risk and
with developmental disabilities shortly after they join anganwadis, as
conceptualized.
The face validity of the measure is high as the items
in the measure were compiled from various internationally used measures to
rate developmental delays. Except one item in the initial version of the
scale (shows understanding of feeling, verbalizing love, anger, sadness
and laughter etc) none of the items
was assigned a score of 0 by more than 90% of the parents in this study,
suggesting that the items were appropriate for measuring the development
of a toddler, reflecting the endorsement of the content validity.
For item reduction we used statistical procedures that
effectively selected the most representative of the items in each domain.
Using these techniques we reduced the 23 items to the most representative
12 items. The factor loading principle looked at items without
cross-loading or no loading and only items with clear loading on to a
specific factor improved the specificity of items in identifying symptoms
in a specific domain. The equidiscriminative item-total correlations
clearly discriminated those items that contributed to the overall
content of the measure. These statistical procedures have been used
effectively in addition to the concept-retention
approach for item reduction in the psychometric validation of
instruments(8). The factor structure demonstrated a 2-factor model and
there are no previous data to compare our study.
Although the items of DATA were aimed at children from
2-3 years, the age range of the population we recruited was from 18-50
months as we wanted to cover the 4SD deviation in developmental range on
both directions for the standardization procedure. The normative data on
the age of emergence of various skills among the toddlers at anganwadis
ranged from 31 to 33 month in this study. There is a slight overall delay
among the anganwadi population than that is described in the literature
[mean (SD)=27(4.6)] months for all the 12-items when compared with the
original validation data of the measures conducted in high income
countries. This could be explained by the low socio-economic status of the
toddlers from rural background attending anganwadis. Over the past
decades, toddlers from low socioeconomic background have been repeatedly
shown to have delay in development and later low scores in formal
intelligence tests because of malnutrition and poor environmental
stimulation(9-11).
The norms for DATA items were based on a simple linear
transformation of the raw data to indicate the level of delay in
development. As Table III shows, this yielded similar, but
slightly different means and standard deviations for each domain.
Therefore, if the extrapolated raw scores were considered equivalent and
compared for domain scores within DATA or with other similar international
measures it would result in interpretation errors. In our study,
especially where the scores were close to the mean, this error was minimal
and the error was exaggerated as scores moved away from the mean.
Consequently, statistical adjustments were needed to ensure an informed
comparison of scores between individual DATA domains and between various
international measures of development. In our study, to overcome this, we
have calculated an exact standard score equivalent using the T-score
principles (with a mean of 50 and SD 10) to enable comparisons within
domains and a final Aggregate Developmental Score. Further standardizing
the scores using the principle of deviation IQ will also allow the scores
to be comparable with the internally used measures and will be done in
future studies as noted in the literature(12). Thus, Table IV
summarizing the conversion details of standard deviations to T-scores
gives a simple correction to potential interpretation error based on the
traditionally derived standard deviation based developmental scores. An
aggregate developmental score of
£33
indicate the child at risk and requires referral for appropriate therapy
at the preschool component of anganwadis. Preschool component of
anganwadis has been found effective in improving the cognitive development
among toddlers and young children. However, a dose-response relationship
between the number of sessions attended by the child and the cognitive
enhancement in the child has gained has not been elucidated and needs
further exploration(5). Those toddlers and children with an Aggregate
Developmental Score (ADS) of
£28
need referral for specialized interventions like special education, speech
therapy, behavioral techniques and speech therapy (Table V).
This measure has the advantage of differentiating the
toddlers at risk for developing delays from those who already have mild to
severe delays. This differentiation is important as toddlers at risk can
be stimulated at the preschool component of anganwadis itself, whereas
children with proved delays need to be referred for appropriate early
interventions(13). Further, training and capacity building of the
anganwadi workers can be based on a one day participatory workshop model
reported previously to be effective(14), with five simple modules to
sensitize them to developmental delays, the basics of normal developmental
milestones, make observations about milestones in a few children from
their anganwadi area, practice the DATA and finally evaluate their
identification ability by comparing their DATA result with the trainer.
The pre-field trial version of DATA, the assessment materials required and
the assessment procedures and scoring pattern are presented in
Appendix 1.
The limitations of the standardization are that
subgroup analysis, like effect of gender, on the emergence of milestones
was not done. The measure was administered by experienced developmental
therapists, as against the intended utility by anganwadi workers. It
should be remembered that these data are from pre-field trial study and
hence these limitations will be addressed during the field trials of DATA.
In conclusion, DATA is a short, psychometrically
strong, norm-referenced developmental scale with partial criterion
referencing to identify toddlers at anganwadi who are at risk for
developing develop-mental delays, and differentiate those who already have
developed delays at 2½ years for appropriate interventions. In addition,
we recommend that regular developmental assessments be conducted on the
beneficiaries of anganwadis, every year, at three more key ages of 3½, 4½
and 5½ years to institute early intervention when required. In future,
scales appropriate for these ages should be developed, standardized and
validated across the country for the benefit of the anganwadi children.
What This Study Adds?
• DATA is short, psychometrically strong,
norm-referenced developmental scale to identify toddrers at risk for
developmental delays and differentiate toddlers with various levels
of developmental delays.
|
Acknowledgments
We gratefully acknowledge CDPOs, Supervisors and
Anganwadi workers of concerned ICDS Blocks, and Asokan N, Child
Development Centre, Medical College, Thiruvananthapuram for their support
during the study period.
Contributors: MKCN, PSR were involved in designing
the study, analysis of data and preparation of the manuscript and will act
as guarantors. RSR, MAL, SL, KR, VSP and MT were was involved in the data
collection.
Funding: Child Development Centre, Medical College,
Thiruvananthapuram.
Competing interests: None stated. The findings and
conclusions in this study are those of the authors and do not necessarily
represent the views of the funding agency.
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