Is nutritional labeling associated with individual health? The effects of labeling-based awareness on dyslipidemia risk in a South Korean population

Kim, Jong Yeob; Kweon, Ki Hong; Kim, Min Jae; Park, Sohee; Jang, Suk‐Yong; Kim, Woorim; Han, Kyu Tae

doi:10.1186/s12937-016-0200-y

Cited by 11 publications

(18 citation statements)

References 23 publications

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“…This is also true when it comes to nutrition data. Greater use of such data affords better health outcomes, but many may not engage in active use of these data [ 18 ]. Thus, we focused on the use of nutrition data that became available (by law) in Korea in 1995 [ 16 ].…”

Section: Discussionmentioning

confidence: 99%

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Biological Age Is Associated with the Active Use of Nutrition Data

Han

Kim

et al. 2018

IJERPH

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Purpose Biological age (BA) has recently emerged as a substitute for chronological age (CA), and many subjects seek to optimally control their BA. However, in South Korea, no study has adequately explored factors that affect BA, although individual health management is essential to preventing chronic diseases. In the present study, we focus on the use of health information, in particular nutrition facts, to control BA. Methods We used data from the Korea National Health and Nutrition Examination Surveys (2010–2015; 26,914 eligible participants) using BA and age differences as outcome variables. We used multiple linear regression to explore the relationship between the use of nutrition data and differences in BA after adjusting for covariates. In addition, we used multiple linear regression to examine subgroup differences in such relationships. Results 12.8% of males and 27.5% of females used nutrition facts when deciding which foods to purchase. The more attention paid to such facts, the lower the BA and BA differences in both males and females (males: β = −2.646, females: β = −2.787, p < 0.05, for BA; males: β = −1.181, females, β = −2.161, p < 0.05, for BA differences). However, BA differences were more significant in subjects with chronic disease, obesity, and/or a family history of chronic disease. Conclusion High-level awareness of and active use of nutrition facts permitted effective self-management in preventing chronic disease and improving BA, particularly in subjects at higher risk for chronic disease. Thus, considering nutrition facts when deciding what to purchase is important.

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Section: Discussionmentioning

confidence: 99%

“…This prevents many health problems and has been applauded by nutrition and public health professionals. Such labeling protects against worsening health and plays an important role in the self-management of chronic diseases [ 17 , 18 ]. However, better health outcomes are not ensured if nutrition data are not actively used [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Biological Age Is Associated with the Active Use of Nutrition Data

Han

Kim

et al. 2018

IJERPH

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“…Active use of nutrition labeling could have positive effects in reducing insulin resistance and preventing diabetes mellitus [ 9 ]. Individuals who used nutrition labeling to make decisions regarding food purchases had a higher level of HDL-C and lower levels of TG [ 11 ]. As a result of active use of nutrition labeling, healthy dietary decisions were made by the participants while purchasing food, and therefore, it appears that nutrition-related biomarkers such as HDL-C and TG could be influenced by nutrition labeling.…”

Section: Discussionmentioning

confidence: 99%

“…Labeling also prevents consumers from succumbing to misleading advertisements on the nutritious value of food products, as accurate nutritional information is provided. Previous studies have revealed that nutrition labeling enabled people to make better food choices, improved the quality of food products being consumed, and positively affected nutrition-related biomarkers, such as high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), and insulin resistance [ 9 , 10 , 11 , 12 , 13 ]. However, it is challenging to find studies that have categorized individuals according to varied personal characteristics in the existing literature, which mainly comprises studies conducted on general characteristics or involving individuals with specific diseases [ 9 , 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

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

Kye

Han

Jeong

et al. 2020

IJERPH

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This study analyzed the effects of nutrition labeling and examined whether nutrition labeling usage influences the levels of blood markers, such as high-density lipoprotein cholesterol (HDL-C) and triglyceride (TG) in body-size self-conscious individuals. The dependent variables were HDL-C and TG; the independent variables were the respondents’ awareness of nutrition labeling use, sociodemographic factors, perceived health status, stress, lifestyle, frequency of eating out, family history of hyperlipidemia, survey year, body mass index, total energy intake, and cholesterol levels. Body-size perception was assessed by matching body mass index with subjective body-shape recognition using data from the Korean National Health and Nutrition Examination Survey (2013–2018). Differences were observed in HDL-C and TG levels according to nutrition labeling usage and body-image perception. The group that recognized body image correctly showed high HDL-C and low TG levels when they actively used nutrition labeling, whereas the group that recognized body image incorrectly showed no significant changes in HDL-C and TG levels even when actively using nutrition labeling. The standard nutritional information, which does not consider individual body-size perceptions, has a restrictive effect. Policies should be developed towards tailored intervention strategies considering individual body-size perception.

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“…Low HDL cholesterol was defined as <40 mg/dL. Dyslipidaemia was defined as at least one condition of elevated lipid levels of total cholesterol, triglycerides, or LDL cholesterol or low HDL cholesterol [ 21 , 22 ]. Serum creatinine was used to calculate an estimated glomerular filtration rate (eGFR) following the arithmetic in the Chronic Kidney Disease Epidemiology Collaboration equation [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

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

Zhong

Nong

Mao

et al. 2018

BioMed Research International

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Impaired vascular endothelial function has attracted attention as a prognostic indicator of cardiovascular prevention. The association between impaired endothelial function and cardiovascular risk in the asymptomatic population, however, has been poorly explored. We evaluated the association of brachial artery flow-mediated dilation (FMD) with Framingham-estimated 10-year cardiovascular disease (CVD) risk in subjects free of CVD, especially by cardiovascular risk profiles. In total, 680 adults aged 30-74 years were enrolled from Rongan and Rongshui of Liuzhou, Guangxi, China, through a cross-sectional study in 2015. In the full-adjusted model, the odds ratio for the estimated 10-year CVD risk comparing the low FMD (<6%) with the high FMD (≥10%) was 2.81 (95% confidence interval [CI]: 1.21, 6.53; P for trend = 0.03). In subgroup analyses, inverse associations between FMD and the estimated 10-year CVD risk were found in participants with specific characteristics. The adjusted odds ratios, comparing the 25th and the 75th percentiles of FMD, were 2.77 (95% CI: 1.54, 5.00) for aged ≥60 years, 1.77 (95% CI: 1.16, 2.70) for female, 1.59 (95% CI: 1.08, 2.35) for nonsmokers, 1.74 (95% CI: 1.02, 2.97) for hypertension, 1.59 (95% CI: 1.04, 2.44) for normal glycaemia, 2.03 (95% CI: 1.19, 3.48) for C-reactive protein ≥10 mg/L, and 1.85 (95% CI: 1.12, 3.06) for eGFR <106 mL/minute per 1.73 m2. Therefore, impaired endothelial function is associated with increased CVD risk in asymptomatic adults. This inverse association is more likely to exist in subjects with higher cardiovascular risk.

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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

Cited by 11 publications

References 23 publications

Biological Age Is Associated with the Active Use of Nutrition Data

Biological Age Is Associated with the Active Use of Nutrition Data

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

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

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