Asia Pacific J Clin Nutr (1995) 4, Suppl 1, 19-23
Asia Pacific J Clin Nutr (1995) 4,
Suppl 1, 19-23

Dietary pattern and physical development
in China-- based on the 1992 national nutrition survey
Keyou Ge
Institute of Nutrition and Food Hygiene,
Chinese Academy of Preventive Medicine, Beijing, P.R.China
Based on information gathered in the l992 Chinese
national nutrition survey, the energy consumption on average is
about adequate for the whole population. Dietary protein and fat
have increased, and now provide 11.8% and 22.0%, respectively, of
the total dietary energy. The adequacy of nutrient intake, expressed
as percentages of RDA, is higher for urban populations than for
rural, and higher for high income groups than for low income groups.
Child growth has improved substantially compared to ten years ago.
However, there are still 32.6% of preschool children with stunted
growth and 17.7% are underweight. Rural children have a higher incidence
of chronic energy deficiency (CED) than their urban counterparts.
The improvement in childrens growth and the increase of overweight
adults are in line with the countrys overall food production
and the average food consumption of the population. The difference
between urban and rural nutritional status deserves more attention.
Introduction
In association with open policy and economic reform
in China, remarkable changes have occurred in the living conditions
and dietary patterns of Chinese population in recent years1.
A national nutrition survey was carried out in 1992 to examine the
dietary and nutritional status of people in various areas in China.
Its main focus was to identify the magnitude of existing problems
related to food inadequacy and excessive consumption and also to investigate
the possible linkage of nutritional problems with some socioeconomic
factors. It was the third nationwide nutrition survey in China. The
previous one took place in 19822.
This survey was authorized by the Ministry of Public
Health, and implemented by the Health Bureau of all provinces, autonomous
regions and municipalities directly under the central government.
It consisted of a survey of household food consumption, a survey of
individual food intake, anthropometric measurements, hemoglobin analysis,
household income, etc. The survey covered 225 primary sites, about
25,000 households and 100,000 individuals of various ages, of more
than 20 nationalities.
This paper will discuss mainly the physical development
of preschool children and adults in connection with their dietary
patterns in various areas based on data collected in the survey.
Method
Sampling
A multistage stratified random cluster process was
used to draw the sample. In each province/region/municipality 4-8
units (towns and counties) were selected in reference to their population
size and economic situations. In each selected town or county, 1000
2 districts or townships were chosen, and in each district or township
2 communities or villages were sampled as the primary survey sites.
In each site a cluster of 30 households was chosen as subject for
the survey. In each of the 3 principle municipalities, 5 central districts
and 3 suburbs were chosen at the first sampling stage. The sub-stage
process was the same in the provinces. Thus, the sampling frame can
be illustrated as follows:
- 30 provinces, autonomous regions, municipalities
- 30 x 8 = 240 towns, counties
- 240 x 2 = 480 districts, townships
- 480 x 2 = 960 communities, villages
- 960 x 30 = 28,800 households
This sample design was reviewed and was recognized
by an expert committee as being reasonably representative of the population.
Dietary survey
The household food consumption data were collected
by an inventory change for three days, in combination with a method
of food weighing. Household members who participated in each meal
were recorded. Household average per capita food consumption was calculated,
and household average of food consumption per reference person was
also calculated taking into consideration age, sex, and labor intensity
of the household members. Data on individual intake was obtained by
24-hour recall method over 3 consecutive days. The nutrient intakes
were calculated based on the Chinese food composition table3.
Anthropometric measurements
Body weight, height and upper arm circumference were
taken by trained personnel with standardized scales and measures.
There was quality control during data collection in the field.
Household income and community survey
The household income was reported by household leaders.
The categorization was based only on reported income. Family properties
were not taken into account. The community data were provided by community
leaders and other knowledgeable inhabitants. Focus group discussions
were often used for collecting community information.
Results
Nutrient intakes and dietary patterns
The national average intakes of energy, protein and
fat are shown in Table 1. The overall daily consumption of energy
was 2328 kcal per reference person. The urban inhabitants consumed
about 100 kcal more than rural people. This difference was mostly
due to higher income families. The low income group in both urban
and rural areas consumed similar amounts of energy.
The average protein consumption was 68g per reference
person per day. The urban people consumed 11g/ day more than the rural,
and the rich group consumed 15g/ day more than the poor. Protein consumption
increased in line with household income for both urban and rural inhabitants,
but was more obvious in the urban communities.
Fat intake was positively correlated with income.
The high income group consumed twice the amount of the low income
group. Urban inhabitants had significantly higher fat intakes than
rural people in all comparable groups.
The dietary 1000 patterns of urban and rural populations
are shown in Table 2. Cereals provided 66.8% of the dietary energy
on average. Food from animal sources provided only 9.3%. The urban
population consumed fewer cereals but more animal food. Dietary fat
contributed 28.4% and 18.6% of total energy for urban and rural people
respectively. The urban population obtained 37.3% of their protein
from animal food and legumes, but it was only 17.2% for rural people.
Cereals provided 61.6% of the dietary protein on average.
Physical development of children
Height and weight of children under 15 years old are
listed in Table 3. The urban children are taller and heavier than
rural children of both genders. Taking 6-year old children as an example,
urban boys were 3.3 cm taller and 1.6 kg heavier than their rural
peers, and urban girls were 3.0 cm taller and 1.6 kg heavier than
the rural. The data showed some differences in height and weight between
boys and girls, although they are much less obvious in comparison
with urban and rural differences.
|
Table 1. National Average of Nutrients Intakes by Income Tertile (per
reference person per day)
|
|
|
Income Categories
|
|
|
Total
|
Low
|
Middle
|
High
|
Energy
|
Urban
|
2395
|
2299
|
2384
|
2500
|
(kcal)
|
Rural
|
2294
|
2292
|
< 1000 td valign="top" width="19%">
2274
|
2315
|
|
U + R
|
2328
|
2294
|
2285
|
2410
|
Protein
|
Urban
|
75
|
65
|
76
|
84
|
(g)
|
Rural
|
64
|
62
|
63
|
68
|
|
U + R
|
68
|
62
|
65
|
77
|
Fat
|
Urban
|
78
|
60
|
81
|
92
|
(g)
|
Rural
|
48
|
38
|
46
|
61
|
|
U + R
|
58
|
40
|
55
|
80
|
1992
Table 2. Dietary Pattern
by Urban and Rural (% of dietary total)
|
|
Urban
|
Rural
|
U + R
|
Energy by: |
Cereals |
57.4
|
71.7
|
66.8
|
food |
Legumes |
2.1
|
1.7
|
1.8
|
groups |
Starc 1000 h Tubers |
1.7
|
3.9
|
3.1
|
|
Animal Food |
15.2
|
6.2
|
9.3
|
|
Empty kcal |
14.3
|
10.2
|
11.6
|
|
Miscellaneous |
9.4
|
6.4
|
7.4
|
Energy by |
Protein |
12.7
|
11.3
|
11.8
|
nutrients: |
Fat |
28.4
|
18.6
|
22.0
|
Protein by: |
Cereals |
48.8
|
68.3
|
61.6
|
1000
food |
Legumes |
5.8
|
4.8
|
5.1
|
groups |
Animal food |
31.5
|
12.4
|
18.9
|
|
Miscellaneous |
14.0
|
14.6
|
14.1
|
1992
Table 3. Physical Development of Children.
Age |
Height (cm)
|
Weight (kg)
|
(yrs) |
Male
|
Female
|
Male
|
Female
|
|
Urban
|
Rural
|
Urban
|
Rural
|
Urban
|
Rural
|
Urban
|
Rural
|
0- |
69.7
|
68.1
|
68.0
|
66.7
|
8.7
|
8.2
|
7.9
|
7.6
|
1- |
80.1
|
77.8
|
78.7
|
76.4
|
11.0
|
10.3
|
10.5
|
9.7
|
2- |
88.0
|
85.5
|
87.8
|
84.7
|
12.8
|
12.2
|
12.5
|
11.7
|
3- |
95.2
|
92.0
|
94.3
|
91.1
|
14.8
|
13.8
|
14.4
|
13.2
|
4- |
102.3
|
98.6
|
1000
99.8
|
97.5
|
16.7
|
15.3
|
15.8
|
14.9
|
5- |
108.1
|
104.9
|
106.9
|
103.8
|
18.3
|
17.2
|
17.5
|
16.5
|
6- |
113.5
|
110.2
|
112.6
|
109.6
|
20.7
|
19.1
|
20.0
|
18.4
|
7- |
120.8
|
116.1
|
118.7
|
114.7
|
23.1
|
21.1
|
22.0
|
20.2
|
8- |
125.7
|
121.3
|
124.9
|
120.1
|
26.0
|
23.1
|
24.9
|
22.3
|
9- |
130.7
|
126.0
|
130.7
|
125.5
|
29.3
|
25.3
|
28.3
|
24.6
|
10- |
136.5
|
130.9
|
135.7
|
130.3
|
31.5
|
27.6
|
31.0
|
27.1
|
11- |
141.3
|
135.1
|
141.9
|
135.5
|
34.8
|
30.1
|
34.2
|
30.0
|
12- |
146.1
|
140.4
|
147.9
|
141.3
|
38.0
|
33.2
|
40.5
|
34.1
|
13- |
154.3
|
147.6
|
152.0
|
146.7
|
44.1
|
38.7
|
43.2
|
39.1
|
14- <15 |
158.7
|
152.9
|
154.9
|
150.6
|
49.3
|
42.4
|
46.4
|
43.2
|
Table 4. Evaluation of Physical
Development of Chinese preschool children with reference to NCHS
data
|
Urban
1502
|
Rural
6479
|
U +R
7981*
|
Height |
Z score mean |
-0.80
|
-1.53
|
-1.38
|
for age |
< -2 (%**) |
19.8
|
35.7
|
32.6
|
|
> 2 (%) |
3.5
|
1.3
|
1.8
|
Weight |
Z score mean |
-0.44
|
-1.00
|
-0.89
|
for age |
< -2 (%) |
9.9
|
19.6
|
17.7
|
|
> 2 (%) |
3.7
|
1.7
|
2.1
|
Weight |
Z score mean |
0.09
|
-0.08
|
-0.05
|
for height |
< -2 (%) |
2.9
|
3.6
|
3.5
|
|
> 2 (%) |
5.8
|
4.1
|
4.4
|
*number of total subjects **percent of subjects
in this category
Table 5. Physical status of adults 1992
Age
|
Urban
|
Rural
|
(Yr)
|
N
|
Ht (cm)
|
Wt (kg)
|
N
|
Ht (cm)
|
Wt (kg)
|
Male |
|
|
|
|
|
20- |
1778
|
168.5
|
61.2
|
4601
|
165.4
|
58.1
|
30- |
1820
|
168.1
|
63.9
|
3734
|
165.6
|
59.5
|
40- |
1552
|
167.6
|
65.1
|
3161
|
164.5
|
59.4
|
50- |
1465
|
166.0
|
64.4
|
2238
|
163.4
|
57.3
|
60- |
1052
|
164.8
|
63.9
|
1500
|
162.2
|
55.6
|
70- |
345
|
163.5
|
60.8
|
567
|
160.7
|
53.2
|
80- |
69
|
162.2
|
56.3
|
101
|
159.1
|
50.0
|
Female |
|
|
< 1000 td valign="top" width="15%">
|
2061
|
53.0
|
5618
|
154.9
|
51.7
|
2261
|
55.9
|
4436
|
154.5
|
52.6
|
1858
|
58.1
|
3501
|
153.5
|
52.9
|
1658
|
58.3
|
2223
|
152.1
|
51.0
|
1013
|
56.6
|
1389
|
150.4
|
48.3
|
345
|
52.5
|
525
|
148.0
|
44.8
|
114
|
49.1
|
129
|
146.2
|
42.1
|
Height for age, weight for age and weight for height
of children below 6-years old were evaluated in reference to NCHS,
(National Center for Health Studies, USA) data (Table 4). The national
mean was -1.38 Z score for height for age, -0.89 for weight for age
and -0.05 for weight for height. Using the < -2 Z score as the
cutoff for undernutrition, 19.8% of urban children and 35.7% of rural
children were short of stature and 9.9% of urban and 19.6% of rural
subjects were underweight.
Weight for height presented a different picture from the above
statistics. The proportions of children exceeding the 2 Z score are
bigger than those under the -2 Z score in both urban and rural groups.
Physical stature of adults
The weight and height of people over 20 years old
are listed in Table 5 by 10 year groupings. The average heights of
urban male groups were from 168.5cm in the youngest down to 162.2cm
in the oldest, and the rural male groups were from 165.6cm to 159.1cm.
The difference between urban and rural was about 3 cm in all the corresponding
age groups. The comparisons within female groups were similar to those
within the male groups, and urban groups were around 2.5 cm taller
the their rural peer groups.
The distribution of body weight by age groups was
different from height. The heaviest 1000 figures were presented by
the 40-49 year-old groups with the exception of the urban female 50-59
year-old group. The urban groups were heavier than rural by 3.1- 8.3kg
for males and 1.3- 8.3kg for females. The largest difference was found
in the 60-69 year-old groups of both male and female populations.
The mean values of body mass index (BMI) are shown
in Table 6. The middle-age groups presented higher figures than the
younger and elderly ones. This was true for both male and female but
more obvious in urban populations. The mean BMI of urban people was
higher than rural in all comparable age and gender groups except the
20-29 year-old females.
Discussion
Notable changes in dietary pattern have occurred in
China during the last decade. The dietary energy from grains was reduced
from 71% to 60% in urban and from 87% to 82% in rural. The energy
from fat increased from 26% to as much as 30% in urban and from 13%
to 15% in rural4. In 1992, the energy from cereals was
further reduced to 57% in urban and 72% in rural and fat contributed
19% of the dietary energy for rural populations. The total grain consumption
and the national average of dietary energy consumption per capita
have remained at about the same levels since the mid- 1980s. It is
recognized that the food security problem has been solved nationally5.
The change of dietary pattern in recent years indicates improvement
in people's living conditions.
In association with the dietary changes, the physical
development of children showed improvement in both urban and rural
populations. The average weight of a 10 year-old urban boy rose from
27.3 kg in 1982 to 31.5 kg in 1992. Figure 1 illustrates the changes
in body weight of urban boys during these ten years. Girls present
a similar picture to boys. The rural children showed the same trends
although they were smaller in comparison to their urban peers. A 10
year-old rural boy averaged 25.4 kg in 1982 and 27.6 kg in 1992. The
difference between urban and rural is substantial. Therefore, rural
children should receive more attention in food supply and health care.
Based on data gathered between 1980 and 1992 in 79
developing countries, more than a third of the children under five
years-old are affected by protein-energy malnutrition, and about 43%
of children are stunted6. China is moderately affected.
The prevalence of stunting was 32.6%, (urban 19.8%, rural 35.7%),
and of being underweight was 17.7% (urban 9.9%, rural 19.6%) as observed
in this survey.
Data collected from African countries indicate that
the estimated amount of food possessed by individual countries correlates
with the prevalence of underweight children7. The continuous
increase of food production and per capita food availability in China
must be contributary to the better growth of children in the past
ten years.
For assessing the health status of adults, BMI has
long been used in connection with the risk of mortality8.
The International Dietary Energy Consultative Group presented evidence
for using BMI to define chronic energy deficiency (CED) and proposed
18.5 as the cutoff 9. This has been further validated by
Ferro-Luzzi et al. in 199210. Based on the 1992 survey,
we would say that BMI o 1000 f young adults aged 20-45 years may well
reflect the nutritional status of given populations, and reflect their
dietary changes.
The mean BMI of urban young adults was 21.9 for male
and 22.2 for female. In the rural poulation it was 21.4 and 21.7 respectively.
The urban groups were significantly higher than the rural (p<0.01).
Their dietary adequacy in energy and protein intake (percentage of
RDA) is well in line with the BMI differences. Urban inhabitants consumed
99.8% of RDA for energy and 95.7% of RDA for protein. Rural people
had 95.7% and 85.9% respectively. Fat calories accounted for 28.4%
of total energy of the urban diet, and 18.6% of the rural diet.
Table 6. Mean body mass index of Chinese populations
(kg/m2) 1992
Age
|
Urban
|
Rural
|
(year)
|
Male
|
Female
|
Male
|
Female
|
1000
20-
|
21.5
|
21.4
|
21.2
|
21.5
|
30-
|
22.6
|
22.7
|
21.7
|
22.0
|
40-
|
23.2
|
23.8
|
21.9
|
22.5
|
50-
|
23.4
|
24.3
|
21.5
|
22.0
|
60-
|
23.5
|
24.2
|
21.1
|
21.3
|
70-
|
22.7
|
23.2
|
20.6
|
1000
20.5
|
80-
|
21.4
|
21.7
|
19.7
|
19.7
|
Figure 1.
Body weight changes of urban boys (1982-1992) |
 |
Analysis of BMI distribution along with some dietary
factors of individual provinces revealed that the increase in percentage
of CED among rural inhabitants is inversely correlated with dietary
energy (r = -0.449 p = 0.017). The increase in percentage of overweight
people is positively correlated with fat energy expressed as percentage
of total dietary energy (r = 0.443 p = 0.018)11.
The overall urban percentage of CED (BMI<18.5)
was 11.6 in 1982 and declined to 10.1 in 1989. The percent-ages for
rural were 12.9 and 7.7 respectivly12. In 1992, it was
further reduced to 9.0 for urban and remained at 8.0 for rural people.
The trend for overweightness (BMI>25) was the reverse of the CED
trend. The percentages increased from 9.7 in 1982 to 14.9 in 1992
for urban, and from 6.1 to 8.4 in the same period for rural. Again,
these changes in BMI agree well with the trends in food production
and average per capita food consumption during these years.
Summary
Based on the information gathered in the l992 Chinese
national nutrition survey, the energy consumption on average is about
adequate for the entire population. Dietary protein and fat have increased,
and now provide 11.8% and 22.0%, respectively, of the dietary total
energy. The adequacy of nutrient intake, expressed as percentages
of RDA, is higher for urban population than for rural, and higher
for high income groups than for poor.
Child growth has improved substantially compared to
ten years ago. However, there are still 32.6% preschool children with
stunted growth and 17.7% are underweight. Rural children have a higher
incidence of chronic energy deficiency (CED) than their urban counterparts.
Chronic energy deficiency (BMI<18.5) in adults
was 9.0% for urban, 8.0% for rural, but overweight was 14.9% and 8.4%
respectively.
The improvement in child growth and the increase of
overweight adults are in line with the country's overall food production
and the population average of food consumption. The differences in
nutritional status between urban and rural deserve more attention.
Acknowledgments
The 1992 Nutrition Survey was funded by the Ministry
of Public Health, and supplementary funds were provided by provincial
authorities. The field data collection was completed by workteams
of the provinces, autonomous regions and municipalities and was organized
by the local health bureaus.
Financial and technical assistance have been received
from FAO, WHO and 1000 IDRC. Dr Mats H. Lorstad, sent by FAO, and
Dr. Hariet V. Kuhnlein, sent by IDRC, provided valuable technical
assistance for this survey. Dr. Barry Popkin from North Carolina University
at Chapel Hill provided valuable support for data processing.
The data analysis was carried out by the Community
Nutrition Department, INFH, headed by Dr. Zhai Fengying. She and Mr.
Cheng Lie, Ms. Wang Qing, Mr. Hu Jian, Mr. Guo Xuguang and Ms. Liu
Jingmin have contributed greatly in data analysis and draft preparation
for this article.
Dietary pattern and physical development in China--
based on the 1992 national nutrition survey
Keyou Ge
Asia Pacific J Clin Nutr (1995) 4, Suppl 1

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Nutrition]. All rights reserved.
Revised:
January 19, 1999
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