Eun Kyung Kim; Jeong Sook Choe; Eun Kyung Kim

doi:10.5720/kjcn.2013.18.2.134

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Original Article
Correlation of Nutrient Intake, Obesity-related Anthropometrics, and Blood Lipid Status with Instant Coffee-mix Intakes in Gangneung and Samcheok Residents: Eun Kyung Kim, Jeong Sook Choe, Eun Kyung Kim; Korean Journal of Community Nutrition 2013;18(2):134-141.
DOI: https://doi.org/10.5720/kjcn.2013.18.2.134
Published online: April 30, 2013

National Academy of Agricultural Science, RDA, Suwon, Korea.

¹Department of Food and Nutrition, Gangneung-Wonju National University, Kangneung, Korea.

Corresponding author: Jeong Sook Choe, RDA, Gwonseon-gu, Suwon, Gyeonggi-do 441-707, Korea. Tel: (031) 299-0480, Fax: (031) 299-0443, swany@korea.kr

• Received: October 29, 2012 • Revised: January 14, 2013 • Accepted: March 27, 2013

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Abstract
REFERENCES

Abstract

This study was conducted to investigate instant coffee-mix intakes and its relations with anthropometric measurements, nutrient intake, and blood lipid in Gangneung and Samcheok residents. Coffee-mix is a mixture of instant coffee, sugar and coffee-creamer. It is a standardized convenience food in Korea. Recently, Koreans appear to consume too much of instant coffee-mix. The respondents of this study were 218 Koreans (Gangneung region 133, Samcheok region 85). The average age was 56.0 years (male), 57.5 years (female). They were divided into 2 groups, the instant coffee-mix drinkers and the non-drinkers. The nutrient intake and anthropometric measurements and their relations with coffee-mix intakes were analyzed (nutrient intakes were calculated by converting per 1,000 kcal and adjusted by age, region). As for male, body fat was significantly higher in coffee-mix drinkers (18.1 kg, 25.0%) than in nondrinkers (17.1 kg, 23.8%). In the case of females, serum triglyceride was significantly higher in coffee-mix drinkers (109.1 mg/dL) than in nondrinkers (102.9 mg/dL). Coffee-mix intakes and coffee-mix's contributions to energy were higher for participants from Samcheok (21.2 g, 4.7%) than those from Gangneung (16.6 g, 3.4%). In addition, for Samcheok, coffee-mix's contribution to energy was significantly higher in male (5.6%) than in female (4.2%). Coffee-mix intakes and energy contribution of coffee-mix were not significantly correlated with anthropometric measurements. Only HDL-cholestrol showed significantly negative correlation with coffee-mix's contributions to energy. Based on the above results, we conclude that usual instant coffee-mix intake may increase intakes of sugar and fat and exert negative effects on serum lipids. Therefore, it is needed to control too much instant coffee-mix intake in the dietary management of rural residents.
Keywords: instant coffee-mix; rural resident; nutrient intake; blood lipid

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Table 1

Age distribution of study subjects

1) N (%)

Table 2

Anthropometric measurements and blood lipid of study subjects

1) Difference between coffee-mix drinkers and non-drinkers were calculated by ANCOVA (age, region adjusted).

2) Difference between men and women were calculated by ANCOVA (age, region adjusted).

3) Mean ± SE

Table 3

Coffee-mix intake, frequency and nutrient intake from coffee-mix of study subjects

1) Difference between male and female were calculated by ANCOVA (age, sex adjusted).

2) Difference between Gangneung and Samchoeck(Total Group) were calculated by ANCOVA (age, sex adjusted).

3) Mean ± SE

Table 4

Correlation coefficient between daily coffee-mix intake or its contribution to energy intake(%kcal) and anthropometric measurements and serum lipids(age, sex, region adjusted)

Table 5

Energy intake and nutrient density according to coffee-mix intake

1) Difference between coffee-mix drinkers and non-drinkers were calculated by ANCOVA (age, region adjusted).

2) Difference between men and women were calculated by ANCOVA (age, region adjusted).

3) Mean ± SE

Figure & Data

REFERENCES

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Correlation of Nutrient Intake, Obesity-related Anthropometrics, and Blood Lipid Status with Instant Coffee-mix Intakes in Gangneung and Samcheok Residents

Korean J Community Nutr. 2013;18(2):134-141. Published online April 30, 2013

DOI: https://doi.org/10.5720/kjcn.2013.18.2.134

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Correlation of Nutrient Intake, Obesity-related Anthropometrics, and Blood Lipid Status with Instant Coffee-mix Intakes in Gangneung and Samcheok Residents

Table 1

Age distribution of study subjects

1) N (%)

Table 2

Anthropometric measurements and blood lipid of study subjects

1) Difference between coffee-mix drinkers and non-drinkers were calculated by ANCOVA (age, region adjusted).

2) Difference between men and women were calculated by ANCOVA (age, region adjusted).

3) Mean ± SE

Table 3

Coffee-mix intake, frequency and nutrient intake from coffee-mix of study subjects

1) Difference between male and female were calculated by ANCOVA (age, sex adjusted).

2) Difference between Gangneung and Samchoeck(Total Group) were calculated by ANCOVA (age, sex adjusted).

3) Mean ± SE

Table 4

Correlation coefficient between daily coffee-mix intake or its contribution to energy intake(%kcal) and anthropometric measurements and serum lipids(age, sex, region adjusted)

Table 5

Energy intake and nutrient density according to coffee-mix intake

1) Difference between coffee-mix drinkers and non-drinkers were calculated by ANCOVA (age, region adjusted).

2) Difference between men and women were calculated by ANCOVA (age, region adjusted).

3) Mean ± SE

Table 1 Age distribution of study subjects

1) N (%)

Table 2 Anthropometric measurements and blood lipid of study subjects

1) Difference between coffee-mix drinkers and non-drinkers were calculated by ANCOVA (age, region adjusted).

2) Difference between men and women were calculated by ANCOVA (age, region adjusted).

3) Mean ± SE

Table 3 Coffee-mix intake, frequency and nutrient intake from coffee-mix of study subjects

1) Difference between male and female were calculated by ANCOVA (age, sex adjusted).

2) Difference between Gangneung and Samchoeck(Total Group) were calculated by ANCOVA (age, sex adjusted).

3) Mean ± SE

Table 4 Correlation coefficient between daily coffee-mix intake or its contribution to energy intake(%kcal) and anthropometric measurements and serum lipids(age, sex, region adjusted)

Table 5 Energy intake and nutrient density according to coffee-mix intake

1) Difference between coffee-mix drinkers and non-drinkers were calculated by ANCOVA (age, region adjusted).

2) Difference between men and women were calculated by ANCOVA (age, region adjusted).