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Preliminary Findings of Andhra
Pradesh Health Systems Responsiveness Study-2001 |
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Nutritional status of adults: analysis of
anthropometric data |
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Percent distribution of nutritional
status of adults by BMI classification
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Females |
Males |
| Body Mass Index
(BMI)1 |
APHSR 2 |
NNMB3 |
APHSR 2 |
NNMB3 |
| III Degree CED
(< 16.0) |
8.1 |
14.6 |
5.7 |
10.2 |
| II Degree CED
(16 - 17) |
7.3 |
15.5 |
6.2 |
13.8 |
| I Degree CED
(17- 18.5) |
16.2 |
26.8 |
15.9 |
28.4 |
| Low Normal
(18.5 - 20) |
17.6 |
19.5 |
18.3 |
20.9 |
| Normal (20 -
25) |
35.8 |
20 |
39.1 |
23.7 |
| I Degree
Obesity (25 - 30) |
11.3 |
3.3 |
12.1 |
2.9 |
| II Degree
Obesity ( > 30) |
3.7 |
0.3 |
2.9 |
0.1 |
1 BMI by James Classification |
2
Andhra Pradesh Health Systems Responsiveness Study 2000
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3
NNMB Repeat Survey 1996-97 |
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Table shows that 35.8% and
20% females fall under normal range of nutritional status in APHSR and NNMB surveys
respectively. The three degrees of Chronic Energy Deficiency (CED) are pooled to 56.9% in
NNMB survey and is around 31.6% in APHSR. The obesity levels in APHSR are around four
times that of NNMB, as it is 15% and 3.6% Respectively. 39.1% and 23.7% males fall under
normal range of nutritional status in APHSR and NNMB surveys respectively. The three
degrees of Chronic Energy Deficiency (CED) are pooled to 27.8 in APHSR and is around 52.4%
in NNMB survey, which is almost double. The obesity levels in APHSR study are shown as
three times more than that of NNMB survey, as it is 15% and 3% respectively. |
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Income and expenditure Table below shows some data on income and
expenditure. A question on monthly household expenditure on food, health and accommodation
was asked to all respondents. Information on household monthly income was also collected.
But one needs to be skeptical about the information on the income data in a setting where
there is a big informal economy. Most people do not to report accurately on the income
data, especially in situations where most of the income is in form of agricultural
products and linked to certain seasons. Keeping this in mind we looked at the average
household income and the % share expenditure on food, accommodation and health. We looked
at both the rural as well as the urban setting and also as a whole. |
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Average household income and expenditure data, AP, 2001
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| Average
household expenditure per month |
Urban |
Rural |
All State |
| Amount |
%
of income |
Amount |
%
of income |
Amount |
%
of income |
| Health |
687 |
15% |
709 |
40% |
704 |
29% |
| Food |
2126 |
47% |
1199 |
67% |
1422 |
58% |
| Accommodation |
504 |
11% |
112 |
6% |
213 |
9% |
| Average household Income |
4548 |
100% |
1782 |
100% |
2445 |
100% |
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Here we see that the monthly average
household income in the urban areas is Rs 4548 and in the rural areas is 2445. 15% of the
urban and 40% of the rural monthly household income is spent on health every month. 47% of
the urban and 67% of the rural monthly household income is spent on food. Similarly, 11%
of the urban and 6% of the rural household income is spent on accommodation. |
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The 1993-94 consumer expenditure
survey shows that the percentage share of food expenditure in the total expenditure by the
Indian population was 63.2% in the rural and 54.7% in the urban areas. The NSS 50th round
survey (Nutritional intake in India) showed that the share of food expenditure had dropped
by 2.4% in the rural and 10% in the urban areas. Here we do not have information about
other expenditures but if we assume that these were the primary expenditures then the %
share of food expenditure in total expenditure will be 64% in the urban and 59% in the
rural areas. But more detailed information needs to be collected before making any
assumptions and analysis. Similarly the NCAR household survey of health care utilisation
and expenditure and the NSS 52nd round survey (Morbidity and treatment of ailment)
collected a lot of information on health expenditure. But it was not possible to make any
comparisons as all the expenditure data was either linked to illness episodes or to
hospitalisation. |
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