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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


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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

Article information

Korean J Community Nutr. 2013;18(2):134-141
Publication date (electronic) : 2013 April 30
doi : https://doi.org/10.5720/kjcn.2013.18.2.134
Eun Kyung Kim, Jeong Sook Choe, Eun Kyung Kim1
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 2012 October 29; Revised 2013 January 14; Accepted 2013 March 27.

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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Copyright © 2013 The Korean Society of Community Nutrition

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Table 1

Age distribution of study subjects

Table 1

1) N (%)

Table 2

Anthropometric measurements and blood lipid of study subjects

Table 2

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

Table 3

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 4

Table 5

Energy intake and nutrient density according to coffee-mix intake

Table 5

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