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Asia Pacific J Clin Nutr (1995) 4,2: 220-224

Asia Pacific J Clin Nutr (1995) 4,2: 220-224

Use of food intake and body mass index (BMI) in the assessment of adult nutritional status in Viet Nam including a maternal-child analysis

Ha Huy Khoi, Tu Giay

National Institute of Nutrition, Hanoi, Viet Nam


The authors have used food intake and Body Mass Index (BMI) to assess Vietnamese adult nutritional status. Chronic Energy Deficiency (CED) is prevalent in Vietnamese adults with an average percentage about 40%. The mean value of BMI in the 26-40 year old age group is 19.7 but it decreases thereafter except in urban areas. The change in the BMI curve distribution varies among adults living in rural, urban and mountainous areas. There seems to be a relationship between the BMI of mothers and the nutritional status of their children underthe age of 5. Some findings revealed a relationship between maternal BMI and birth weight and between CED and health status. The proposed cut-off point of Ferro-Luzzi-James in the classification of CED was applied to data from Vietnam.


Introduction:

There are some common indices, such as Broca and Lorentz, used to assess the nutritional status of adults. The calculated values for these weight-stature indices differ although they are highly correlated. Comparison between available data is difficult when different indices are used. Recently, to assess the nutritional status of adults, WHO/ FAO has recommended the use of the Body Mass Index (BMI) [Weight (kg)/ height (m)2] calculated and classified as follows1:

In a report by a Working Party of the International Dietary Energy Consultative Group2, new criteria were proposed for classifying Chronic Energy Deficiency (CED) in adults, involving measuring BMI, energy intake (or expenditure) and basal metabolic rate (BMR).

Recently a simplified approach using BMI alone has been proposed to assess adult CED3. In this approach, a BMI greater than 18.5 is classified as normal, from 17-18.4 is grade I CED, from 16-16.9 is grade II CED and below 16.0 is grade III CED. In this paper, we present the use of BMI as an indicator of adult nutritional status within this population. The results were collected from various surveys and studies.

Prevalence of CED in Vietnam.

Study 1: During the period 1981-1985, the weights and heights of 12,800 rural adults were recorded in different age groups and ecological regions. The results of Study 1 are presented in Tables 1 and 2 and show that:

  • BMI mean values decrease after 40 years in each gender
  • CED is quite prevalent in Vietnam
  • the average percentage of adults having BMI less than 18.5 is about 40%
  • the highest percentage was shown in the oldest age group of both genders ( Figures 1 and 2 ).
  • BMI

    MEN

    WOMEN

    Low

    < 20.0

    < 18.6

    Desirable range

    20.1-25.0

    18.7-23.8

    1000
    Overweight

    25.1-30.0

    23.9-8.6

    Obese

    > 30.0

    > 28.6

Table 1. Mean ± SD value of BMI (kg/m2) of adults
Age Group

Males

Females

18-25

19.2 ± 1.9

19.8 ± 1.9

26-40

19.7 ± 1.7

19.7 ± 1.8

41-60

19.0 ± 1.8

18.6 ± 2.0

> 60

18.2 ± 2.2

17.8 ± 2.2

Table 2. Classification of nutritional status (%) using BMI as indicator

Age groups BMI groups

< 16

16.0-16.9

17.0-18.4

Total

< 18.5

18-25 Male

1.2

2.4

22.4

26.0

  Female

2.7

5.3

20.5

28.5

26-40 Male

0.8

2.5

18.3

21.6

  Female

0.4

0.8

16.6

17.8

41-60 Male

1.4

7.9

28.4

37.7

  Female

5.0

7.7

29.7

42.4

>60 Male

5.8

12.6

32.6

51.0

  Female

15.8

12.6

36.8

65.2

Figure 1 Frequency distribution of Body Mass Index (BMI) in women

Figure 2 Frequency distribution of BMI in males

 

Study 2: From 1987-1989 we carried out a general nutrition survey of a sample of 12,789 households in different regions of the country including Hanoi and Ho Chi Minh City. The survey findings of Study 2 consist of: measurement of household food composition during 3 consecutive days for household members and the recording of socioeconomic factors5.

The survey results (Tables 3 to 7 and Figures 3 and 4) show that the pattern of change in BMI is similar in rural and mountainous areas but is different in urban areas. In the first two groups, the BMI mean values were highest at the age of 25-29 years for males and 18-24 years for females; they were lower in the urban group during these ages. The urban BMI mean values increased up to the age group of 50-59 years and decreased thereafter. This fact may be due to differences in food intake, energy expen-diture and lifestyle of the populations in these regions.

Table 3. Food consumption (grammes per capita per day) (mean ± SD)

1000
Foodstuffs

Urban (n = 1655)

Rural (n = 9135)

Mountainous (n = 1634)

  1.  
  2. Rice-- cooked

421.3 ± 112.3

457.1 ± 133.9

498.0 ± 129.2

Other cereals

14.2 ± 30.2

3.7 ± 26.7

7.4 ± 33.6

Tubers

11.8 ± 33.2

47.5 ± 118.9

38.8 ± 119.9

Beans & Peas

2.4 ± 10.2

1.6 ± 10.1

4.0 ± 20.5

Tofu

16.5 ± 33.7

4.9 ± 18.8

8.7 ± 24.2

Nut & Sesame

4.2 ± 10.6

3.0 ± 13.0

9.4 ± 20.8

Veg. leaves

108.5 ± 77.3

145.2 ± 113.9

169.0 ± 106.3

Veg. tubers

39.4 ± 49.2

49.4 ± 87.3

68.5 ± 78.7

Fruits

10.2 ± 33.8

1.2 ± 13.1

0.2 ± 3.7

Sugar

1.8 ± 6.9

0.3 ± 2.8

0.1 ± 1.2

Sauces

22.3 ± 25.8

30.2 ± 31.7

23.5 ± 34.8

Oil & Fat

6.4 ± 9.8

2.6 ± 6.6

2.7 ± 8.3

Meats

49.3 ± 50.2

13.7 ± 31.1

28.5 ± 40.9

Eggs & milk

9.6 ± 18.6

1.4 ± 6.6

2.0 ± 11.2

Fish

62.2 ± 81.1

29.3 ± 40.8

8.1 ± 18.1

Other aquatics

7.8 ± 16.4

8.8 ± 21.1

1.8 ± 8.3

Table 4. Nutritive value of dietary intake (per capita per day) (mean ± SD)

1000
Nutients

Urban (n = 1655)

Rural (n = 9153)

Mountainous (n = 1634)

Protein (g)
-Animal protein

62.5 ± 19.8
22.7
± 14.6

53.9 ± 18.6
11.2
± 12.4

57.7 ± 18.3
7.8
± 9.9

Lipids (g)
-Vegetable lipids

28.7 ± 17.5
7.0
± 7.8

13.9 ± 12.4
6.6
± 6.6

18.8 ± 15.5
10.3
± 9.6

Carbohydrate (g)

336.2 ± 85.4

375.4 ± 102.2

411.1 ± 93.7

Energy (KCal)

1905.2 ± 485.2

1892.8 ± 524.4

2101.5 ± 498.2

Calcium (mg)

464.6 ± 266.7

553.0 ± 471.9

408.3 ± 216.6

P (mg)

789.0 ± 229.3

702.5 ± 223.2

758.8 ± 229.8

Fe (mg)

9.8 ± 2.8

9.5 ± 3.1

10.3 ± 3.5

Vitamin A (mg)

0.1 ± 0.4

0.0 ± 0.1

0.0 ± 0.1

Carotene (mg)

2.1 ± 1.9

2.8 ± 3.1

2.6 ± 2.7

Vitamin B1 (mg)

0.8 ± 0.3

0.7 ± 0.3

0.8 ± 0.3

Vitamin B2 (mg)

0.5 ± 0.3

0.3 ± 0.2

0.4 ± 0.2

Nicotinic Acid (mg)

10.7 ± 3.8

9.7 ± 3.5

11.4 ± 4.8

Vitamin C (mg)

48.7 ± 44.0

61.2 ± 59.4

73.7 ± 55.8

Table 5. Balanced characteristics of the dietary intake

Nutrients

Urban
n = 1655

Rural
n = 9153

Mountain
n = 1634

Energy (Kcal)

1905.2 ± 485.2

1892.8 ± 524.4

2101.5 ± 498.2

Protein energy (%)

13.5%

11.7%

11.3%

Lipid energy (%)

14.0%

6.8%

8.3%

Carbohydrate energy (%)

72.3%

81.3%

80.2%

Animal Protein/ Total Protein (%)

36.3%

20.9%

13.6%

Veg Lipid/ Total Lipid (%)

24.4%

47.9%

54.8%

Ca/ P

0.59

0.79

0.54

B1 (mg)/ 1000 Kcal

0.49

0.37

0.43

Table 6. BMI of males by age group

Age group

For all

Urban

Rural

Mountainous

15-17

17.919 ± 2.811
n = 2236

17.402 ± 2.007
n = 394

17.962 ± 3.114
n = 1488

18.357 ± 2.05
n = 333

18-24

19.397 ± 1.943
n = 3006

18.755 ± 2.118
n = 483

19.435 ± 1.904
n = 1975

19.877 ± 1.722
n = 520

25-29

19.682 ± 1.791
n = 2322

19.271 ± 1.911
n = 239

19.678 ± 1.719
n = 1653

19.87 ± 1.943
n = 400

30-39

19.603 ± 1.914
n = 3213

19.539 ± 2.087
n = 363

19.623 ± 1.892
n = 2347

19.54 ± 1.91
n = 459

40-49

19.476 ± 2.698
n = 1908

19.683 ± 4.129
n = 515

19.385 ± 1.897
n = 1142

19.372 ± 1.947
n = 224

50-59

19.129 ± 2.022
n = 1989

19.739 ± 2.337
n = 368

19.004 ± 1.943
n = 1341

18.956 ± 1.771
n = 265

60-69

18.75 ± 3.063
n = 1338

18.992 ± 2.412
n = 154

18.774 ± 3.37
n = 949

18.448 ± 1.864
n = 226

>70

17.942 ± 2.277
n = 711

17.887 ± 2.422
n = 95

18.059 ± 2.154
n = 495

17.504 ± 2.594
n = 119

Table 7. BMI of females by age groups

Age group

For all

Urban

Rural

Mountainous

15-17

18.261 ± 2.263
n = 2303

17.623 ± 2.002
n = 461

18.328 ± 2.36
n = 1501

18.861 ± 1.942
n = 331

18-24

19.609 ± 1.987
n = 4312

18.726 ± 1.957
n = 605

19.724 ± 1.964
n = 3031

19.823 ± 1.903
n = 636

25-29

19.599 ± 1.888
n = 2856

19.023 ± 2.015
n = 337

19.675 ± 1.857
n = 2086

19.561 ± 1.811
n = 381

30-39

19.363 ± 1.98
n = 3921

19.446 ± 2.204
n = 611

19.395 ± 1.927
n = 2781

19.206 ± 1.909
n = 469

40-49

19.22 ± 2.069
n = 2320

19.503 ± 2.227
n = 590

19.164 ± 1.933
n = 1446

18.841 ± 2.329
n = 261

50-59

18.691 ± 2.165
n = 2271

19.988 ± 2.556
n = 278

18.585 ± 2.069
n = 1691

18.605 ± 2.234
n = 294

60-69

18.244 ± 2.266
n = 1591

18.975 ± 2.624
n = 199

18.164 ± 2.153
n = 1166

17.983 ± 2.375
n = 219

>70

17.695 ± 2.335
n = 920

18.314 ± 2.726
n = 142

17.605 ± 2.276
n = 639

17.412 ± 2.044
n = 134

Figure 3. BMI of males by age group

As shown in Tables 3, 4, and 5, there are not significant differences in total caloric intake but the percentage of lipid energy to total energy and animal protein to total protein is higher in urban populations than in the other groups. In general, rice is the main cereal of the diet, the intake of other cereals, tubers, beans and nuts rich in lipid is low. The consumption of animal food as meat, fish, eggs and fat is higher in urban areas than in rural and mountainous areas (Tables 3 and 4). It should be mentioned that the average height and weight of urban residents is generally higher than that of rural and mountainous areas.

Figure 4. BMI of females by age group

BMI index of mothers and nutritional status of children younger than 5 years.

Data from Study 2 were analysed to establish the relationship between the BMI index of mothers and the nutritional status of their young children within different categories of BMI. There is a significant relationship between the two parameters (Table 8). Weight for age was used to assess nutritional status with the data from National Center for Health Statistics of United States (NCHS) as reference population6,9 and classified as the first degree when below -2 SD, the 2nd degree when below -3 SD and the 3rd degree when below -4 SD of NCHS value.

The relationship between the BMI of women and the economic status of their families was not significant. The economic status of families was classified into 3 categories (low, middle, high) according to data relating to their main properties-- house and precious goods, because accurate incomes are difficult to collect.

Effect of low BMI on health status

In study 3, carried out on 1990, we followed the change in food i 1000 ntake and mothers’ weight gain during pregnancy, and recorded some biochemical indicators of nutritional status of the newborns including weight. The result of study 36 indicated that the average gain in weight of mothers during pregnancy in rural areas is 6.4kg and in Hanoi City 8.5kg. The study also revealed a significant relationship between the weight of the new born and the pre-pregnancy BMI values of the mothers (Table 9).

Table 8. Relation between BMI of mothersand nutritional status of children younger than 5 years

Classification BMI

Normal

CED I

CED II

CED III

Total

Weight by age

         

Normal %

53.20

48.10

44.00

44.30

51.40

N

1162

324

77

35

1598

1st degree %

32.40

33.60

35.40

29.10

32.70

N

707

226

62

23

1018

2nd degree %

12.90

16.30

17.70

24.10

14.20

N

281

110

31

19

441

3rd degree %

1.60

1.90

2.90

2.50

1.70

N

34

13

5

2

54

Total %

70.20

21.60

5.60

2.50

 

N

2184

673

175

79

3111

Table 9. Relation between weight gained during pregnancy and birth weight for mothers grouped by pre-pregnancy BMI

Weight gained during pregnancy

Newborn weight (g) by mothers’ BMI levels

P

 

 

< 18.5

> 18.5

 

< 8kg

2770
n = 2