Journal List > Korean J Community Nutr > v.23(2) > 1038612

Kim, Kim, and Kim: Dietary Habits and Nutritional Status of Young Women according to Breakfast Frequency in Seoul

Abstract

Objectives

Although breakfast is important to nutrition balance, prevention of overeating, and weight control, people in their 20s (males: 55.1%, females: 49.9%) were reported to have the highest rate of skipping breakfast in 2016 Korea Health Statistics. This study aims to examine dietary habits and nutrient intake depending on breakfast frequency among young women in Seoul.

Methods

The subjects were 655 young women in Seoul from August to October 2016, and the survey was performed by using a questionnaire that included general characteristics, dietary habits, and eating behavior. Body composition was determined by bioelectric impedance analysis. Nutritional status was examined by the 24-hour recall method.

Results

The participants were classified by breakfast intake frequency; ‘≥ 5 times/week (n=160)’, ‘1–4 times/week (n=327)’, and ‘breakfast skipping (n=168)’. The ‘breakfast skipping’ group had lower frequency and regularity of meals. In addition, the ‘breakfast skipping’ group had a higher frequency of eating-out and late-night meals. There was no difference in total calories between the ‘breakfast skipping’ group and other groups, but the ‘breakfast skipping’ group had significantly low carbohydrate and fiber intakes. The participants showed lower intakes of calories, fiber, vitamin A, vitamin C, niacin, folic acid, calcium, potassium, and zinc in comparison with recommended intakes. Especially, the ‘breakfast skipping’ group had significantly lower fiber, vitamin A, vitamin C, calcium, potassium levels compared to the ‘≥ 5 times/week’ group. For Mean Adequacy Ratio (MAR), the ‘breakfast skipping’ group recorded a ratio of 0.60, which was lower than those of other groups. Index of Nutritional Quality (INQ) including fiber, vitamin C, calcium and phosphorus were significantly lower in the breakfast skipper group, compared to the breakfast eater group.

Conclusions

The ‘breakfast skipping’ group showed low regularity of meals and a high frequency of eating-out and late-night meals. The breakfast regular eater group showed high intake of micronutrients and quality of meals was high in general. Skipping breakfast could lower nutrient intake and quality of meals, which requires attention.

Figures and Tables

Fig. 1

The percent of recommended energy and nutrient intake of the young women by breakfast frequency

kjcn-23-102-g001
Table 1

General characteristics of the young women by breakfast frequency

kjcn-23-102-i001

1) Mean ± SD

2) n (%)

3) Excluding people who do not skip breakfast

*: p<0.05, ***: p<0.001

Table 2

Anthropometric indices and body compositions of the young women by breakfast frequency

kjcn-23-102-i002

1) Mean ± SD

2) Means with different superscript letters are significantly different from each other at p<0.05 by Scheffe's multiple range test

**: p<0.01, ***: P<0.001

Table 3

Dietary habits of the young women by breakfast frequency

kjcn-23-102-i003

1) n (%)

2) Significantly different between BMI by chi-square test

**: p<0.01, ***: P<0.001

Table 4

Eating behavior of the young women by breakfast frequency

kjcn-23-102-i004

1) n (%)

2) Significantly different between BMI by chi-square test

*: p<0.05, **: p<0.01, ***: P<0.001

Table 5

Energy and nutrient intake of the young women by breakfast frequency

kjcn-23-102-i005

1) Mean ± SD

2) Means with different superscript letters are significantly different from each other at p<0.05 by Scheffe's multiple range test

*: p<0.05, **: p<0.01, ***: p<0.001

Table 6

Nutrient adequacy ratio (NAR) and mean adequacy ratio(MAR) of the young women by breakfast frequency

kjcn-23-102-i006

1) Mean ± SD

2) Means with different superscript letters are significantly different from each other at p<0.05 by Scheffe's multiple range test

*: p<0.05, **: p<0.01, ***: P<0.001

Table 7

Index of Nutritional Quality(INQ) of the young women by breakfast frequency

kjcn-23-102-i007

INQ: INQ: Nutrient intake per 1,000 kcal / recommended nutrient intake per 1,000 kcal

1) Mean ± SD

2) Means with different superscript letters are significantly different from each other at p<0.05 by Scheffe's multiple range test

*: p<0.05, **: p<0.01

Acknowledgments

This research was supported by a fund(HD16A1351) by Research of Korea Centers for Disease Control and Prevention.

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Kyung-Hee Kim
https://orcid.org/0000-0002-1593-176X

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