Your personal commitment to sustainability and environmentalism
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Analysis
Data analysis was carried out, using SPSSPC+ software
package. The psychosocial development score for each
child was computed by scoring test items passed as 1 and
failed as 0. At each age level (monthly interval) children
having scores in lower quartile were categorized as
having slow psychosociaJ development and those in
upper quartile were labelled as having accelerated
development. Association of environmental factors
with psychosocial development (slow v. accelerated)
was tested using chi-square test in univariate analysis.
Logistic regression was done to find out 'independent'
effects of environmental factors on psychosocial devel-
opment. In the first model per capita income, education
and occupation of parents was included. In the second
model income, education of parents, and nutritional
status of the child was tested. In the third model along
with the variables of second model, each one of the other
factors which were found to be significantly associated in
the univariate analysis were included one at a time.
Nutritional indices, i.e. low weight-for-height and low
height-for-age were calculated using <—2 SD of NCHS
standard z-scores. Children having neither stunting nor
wasting were categorized as well-nourished. Households
having per capita income in the lowest tertile were
classified as having low income.
A total of 3746 children were eligible for the survey. It
was not possible to administer all the 67 test items to every
child due to non-co-operation, therefore, 3050 complete
records where psychosocial data were collected on all test
items were included in the analysis. Family interviews
were conducted in 3588 cases, but data on some of the
household and child variables were lost in 1145 records
during data handling; therefore, for some of the
Data analysis was carried out, using SPSSPC+ software
package. The psychosocial development score for each
child was computed by scoring test items passed as 1 and
failed as 0. At each age level (monthly interval) children
having scores in lower quartile were categorized as
having slow psychosociaJ development and those in
upper quartile were labelled as having accelerated
development. Association of environmental factors
with psychosocial development (slow v. accelerated)
was tested using chi-square test in univariate analysis.
Logistic regression was done to find out 'independent'
effects of environmental factors on psychosocial devel-
opment. In the first model per capita income, education
and occupation of parents was included. In the second
model income, education of parents, and nutritional
status of the child was tested. In the third model along
with the variables of second model, each one of the other
factors which were found to be significantly associated in
the univariate analysis were included one at a time.
Nutritional indices, i.e. low weight-for-height and low
height-for-age were calculated using <—2 SD of NCHS
standard z-scores. Children having neither stunting nor
wasting were categorized as well-nourished. Households
having per capita income in the lowest tertile were
classified as having low income.
A total of 3746 children were eligible for the survey. It
was not possible to administer all the 67 test items to every
child due to non-co-operation, therefore, 3050 complete
records where psychosocial data were collected on all test
items were included in the analysis. Family interviews
were conducted in 3588 cases, but data on some of the
household and child variables were lost in 1145 records
during data handling; therefore, for some of the
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