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Nutritional Status and Eating Behavior of Lactating Women in Daejeon

Nutritional Status and Eating Behavior of Lactating Women in Daejeon

Article information

Korean J Community Nutr. 2011;16(1):37-50
Publication date (electronic) : 2011 February 28
doi : https://doi.org/10.5720/kjcn.2011.16.1.37
Departments of Consumers' Life Information, Chungnam National University, Daejeon, Korea.
1Department of Food and Nutrition, Chungnam National University, Daejeon, Korea.
Corresponding author: Joung-Won Lee, Departments of Consumers' Life Information, Chungnam National University, 99 Dahak-ro, Yuseong-gu, Daejeon 305-764, Republic of Korea. Tel: (042) 821-6844, Fax: (042) 821-8887, leejw@cnu.ac.kr
Received 2011 January 04; Revised 2011 February 01; Accepted 2011 February 07.

Abstract

Nutrients intake status of 73 lactating women, that is 45 breast feeding (BF), 13 formula feeding (FF) and 15 mixed feeding (MF), living in Daejeon was investigated. Self-recorded food intakes for two weekdays and eating behaviors using questionnaires were surveyed from May to August 2008. Subjects aged 29.2 ± 3.4 years and their infants aged 8.2 ± 3.2 months. Body mass index of the subjects was 21.0 ± 3.2. Of the subjects 23.3% were employed. Daily energy intake was 1953 ± 391 kcal. Mean adequacy ratio (MAR) was 0.77 ± 0.14 and was higher in FF (0.86 ± 0.13) than in BF (0.76 ± 0.11) and MF (0.72 ± 0.18). Nutrients that over 50% of the subjects took less than estimated average requirement were vitamin A, riboflavin, folate, vitamin C and calcium. And index of nutritional qualities of those 5 nutrients were below one Forty six and sixths percent (46.6%) of the subjects showed GMFVD = 11111 pattern of five food group intakes and 57.5% took meals three times daily, 56.2% skipped often breakfast, and 64.4% dined out two times and more per week. Subjects having lower MAR (< 0.72, n = 24), compared with those having higher MAR (≥ 0.83, n = 24), showed more skipping daily meals and less frequency of eating-out, and took less legumes, vegetables, fishes, and milk. As the results, intakes of calcium, vitamin A, riboflavin, folate, and vitamin C were insufficient in lactating women, especially in BF and MF mothers. Meal skipping and low intakes of dairy foods, legumes, vegetables, and fishes might have adverse influences on nutritional status of lactating women. Accordingly, nutrition care program for lactating women should be focused on intake of three meals daily and a variety of food.

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Article information Continued

Fig. 1

Percentage distribution of energy and some nutrient daily intakes into three meals, snack, and dietary supplements.

Breast: breast feeding Formula: formula feeding Mixed: mixed feeding

B: breakfast L: lunch D: dinner S: snack DS: dietary supplements

Fig. 2

Mean adequacy ratios(MAR) of the subjects. p = 0.014 by ANOVA, and MAR with alphabet 'b' was higher than those with 'a' at p < 0.05 by LSD

Table 1

General characteristics of the subjects

Table 1

1) Mean ± SD, 2) N (%), 3) by ANOVA and χ2-test *: p < 0.05, 4) Subject number of one cell and more was below 5 in the variable

Table 2

Energy, protein and lipid intakes by milk feeding type

Table 2

1) Mean ± SD, 2) Mean, 3) EER %, 4) AI %, 5) by ANOVA, *: p < 0.05, **: p < 0.01, ***: p < 0.001

abc: Values with different superscripts were significantly different at p < 0.05 by LSD

P/M/S = poly unsaturated fatty acid / mono unsaturated fatty acid / saturated fatty acid

Table 3

Mineral and vitamin intakes by milk feeding type

Table 3

1) Mean ± SD, 2) Mean, 3) Goal value %, 4) AI %, 5) by ANOVA, *: p < 0.05 **: p < 0.01 ***: p < 0.001

ab: Values with different superscripts were significantly different at p < .05 by LSD

Table 4

Proportion of the subjects took nutrients less than EAR and unacceptable macronutrient distribution ranges

Table 4

1) N (%), 2) by χ2 test, 3) All variables except 'Vitamin C' had one cell or more with the subject number below 5.

4) Acceptable macronutrient distribution ranges (carbohydrate : protein : lipid = 55 ~ 70 : 7 ~ 20 : 15 ~ 25)

Table 5

Index of nutritional quality(INQ) by milk feeding type

Table 5

1) Mean ± SD, 2) by ANOVA, *: p < 0.05 **: p < 0.01 ***: p < 0.001

ab: Values with different superscripts were significantly different at p < 0.05 by LSD

Table 6

Food intakes and food group intake pattern by milk feeding type

Table 6

1) Mean ± SD, 2) by ANOVA, *: p < 0.05

ab: Values with different superscripts were significantly different at p < 0.05 by LSD

3) Subject number of 10 cells were below 5

GMFVD: grain, meat, fruit, vegetable, dairy product

Table 7

Dietary behavior and weight reducing trial by feeding type

Table 7

1) N (%), 2) χ2 test, 3) Among subjects who did weight control trial to reduce weight

4) Subject number of one cell or more was below 5 in the variable

Table 8

Comparison of food group intakes and its patterns between the subjects with MAR < 0.72 and those with MAR ≥ 0.831)

Table 8

1) MAR ≥ 0.83: 100th~68th percentile, MAR < 0.72: 33th~0th percentile, 2) Mean ± SD, 3) by t-test

GMFVD: grain, meat, fruit, vegetable, dairy product, *: p < 0.05, **: p < 0.01, ***: p < 0.001

4) Subject number of 5 cells were below 5

Table 9

Comparison of dietary behaviors between the subjects with MAR < 0.72 and those with MAR ≥ 0.831)

Table 9

1) MAR ≥ 0.83: 100th~68th percentile, MAR < 0.72: 33th~0th percentile

2) N (%), 3) Among subjects who did weight control trial to reduce weight

4) χ2 test, *: p < 0.05, **: p < 0.01, 5) Subject number of one cell or more was below 5 in the variable