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Is Nutritional Labeling Associated with Individual Health? The Effects of Labeling-based Awareness on Dyslipidemia Risk in a South Korean Population

Overview
Journal Nutr J
Publisher Biomed Central
Date 2016 Sep 16
PMID 27628312
Citations 5
Authors
Affiliations
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Abstract

Background: In 1995, the South Korean government made nutrition labeling compulsory, which has positively impacted patients with certain chronic diseases, such as dyslipidemia. We investigated the association between nutrition labeling-based awareness and the risk of dyslipidemia among individuals not yet diagnosed.

Methods: Our study used data from the fifth Korea National Health and Nutrition Examination Surveys administered during 2010-2014 (n = 17,687). We performed multiple or logistic regression analysis to examine the association between nutritional analysis and various outcome variables.

Results: Approximately 70 % of the respondents (n = 11,513) were familiar with nutrition labeling, of which 20 % (n = 3172) decided what food to buy based on that information. This awareness yielded mostly positive results on outcome indicators, such as triglyceride and high-density lipoprotein cholesterol levels. In general, individuals who used nutritional labels to make decisions regarding food purchases had a lower risk of dyslipidemia than individuals who did not (OR: 0.806, 95 % CI: 0.709-0.917).

Conclusion: Utilizing nutrition labels for making food choices correlated with a lower risk of dyslipidemia in certain subgroups. Based on our findings, we recommend that health policymakers and medical professionals consider promoting nutrition labeling as an alternative method for managing certain chronic diseases in South Korean patients.

Citing Articles

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Nutrition Labeling Usage Influences Blood Markers in Body-Size Self-Conscious Individuals: The Korean National Health and Nutrition Examination Survey (KNHANES) 2013-2018.

Kye S, Han K, Jeong S, Choi J Int J Environ Res Public Health. 2020; 17(16).

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Association between awareness of nutrition labeling and high-density lipoprotein cholesterol concentration in cancer survivors and the general population: The Korean National Health and Nutrition Examination Survey (KNHANES) 2010-2016.

Yoo J, Han K, Chung S, Park E BMC Cancer. 2019; 19(1):16.

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Biological Age Is Associated with the Active Use of Nutrition Data.

Han K, Kim D, Kim S, Kim S Int J Environ Res Public Health. 2018; 15(11).

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Association of Impaired Vascular Endothelial Function with Increased Cardiovascular Risk in Asymptomatic Adults.

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References
1.
FRIEDEWALD W, Levy R, Fredrickson D . Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972; 18(6):499-502. View

2.
Assmann G, Schulte H . The Prospective Cardiovascular Münster (PROCAM) study: prevalence of hyperlipidemia in persons with hypertension and/or diabetes mellitus and the relationship to coronary heart disease. Am Heart J. 1988; 116(6 Pt 2):1713-24. DOI: 10.1016/0002-8703(88)90220-7. View

3.
von Lengerke T, Vinck J, Rutten A, Reitmeir P, Abel T, Kannas L . Health policy perception and health behaviours: a multilevel analysis and implications for public health psychology. J Health Psychol. 2003; 9(1):157-75. DOI: 10.1177/1359105304036110. View

4.
Park H . Nutrition policy in South Korea. Asia Pac J Clin Nutr. 2008; 17 Suppl 1:343-5. View

5.
Egede L . Effect of comorbid chronic diseases on prevalence and odds of depression in adults with diabetes. Psychosom Med. 2005; 67(1):46-51. DOI: 10.1097/01.psy.0000149260.82006.fb. View