Does the active use of nutrition labeling reduce the risk of diabetes mellitus? Results of insulin resistance using Korean National Health and Nutrition Examination Survey

2018 ◽  
Vol 12 (5) ◽  
pp. 445-452 ◽  
Author(s):  
Kyu-Tae Han ◽  
Seung Ju Kim ◽  
Dong Jun Kim ◽  
Sun Jung Kim
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Seung Jae Kim ◽  
Oh. Deog Kwon ◽  
Kyung-Soo Kim

Abstract Background This study aimed to investigate the prevalence, awareness, treatment, and control rates of dyslipidemia and identify the predictors of optimal control (low-density lipoprotein cholesterol < 100 mg/dL) among patients with diabetes mellitus (DM). Methods A cross-sectional study was conducted using the representative Korea National Health and Nutrition Examination Survey (2014–2018). Overall, 4311 patients with DM, aged ≥19 years, and without cardiovascular diseases were selected, and the prevalence, awareness, treatment, and control rates of dyslipidemia were calculated. Univariate and multivariate logistic regression analyses were conducted to evaluate the factors influencing the optimal control of dyslipidemia. Results Dyslipidemia was prevalent in 83.3% of patients with DM, but the awareness and treatment rates were 36.5 and 26.9%, respectively. The control rate among all patients with dyslipidemia was 18.8%, whereas it was 61.1% among those being treated. Prevalence and awareness rates were also significantly higher in women than in men. Dyslipidemia was most prevalent in those aged 19–39 years, but the rates of awareness, treatment, and control among all patients with dyslipidemia in this age group were significantly lower than those in other age groups. The predictors of optimal control were age ≥ 40 years [range 40–49 years: adjusted odds ratio (aOR) 3.73, 95% confidence interval (CI) 1.43–9.72; 50–59 years: aOR 6.25, 95% CI 2.50–15.65; 60–69 years: aOR 6.96, 95% CI 2.77–17.44; 70–79 years: aOR 9.21, 95% CI 3.58–23.74; and ≥ 80 years: aOR 4.43, 95% CI 1.60–12.27]; urban living (aOR 1.44, 95% CI 1.15–1.80); higher body mass index (aOR 1.27, 95% CI 1.13–1.42); lower glycated hemoglobin levels (aOR 0.71, 95% CI 0.67–0.76); hypertension (aOR 1.53, 95% CI 1.22–1.92); poorer self-rated health status (aOR 0.72, 95% CI 0.62–0.84); and receiving regular health check-ups (aOR 1.58, 95% CI 1.25–2.00). Conclusions Most patients with DM were diagnosed with dyslipidemia, but many were unaware of or untreated for their condition. Therefore, their control rate was suboptimal. Thus, by understanding factors influencing optimal control of dyslipidemia, physicians should make more effort to encourage patients to undergo treatment and thus, adequately control their dyslipidemia.


2018 ◽  
Vol 31 (2) ◽  
pp. 117-125 ◽  
Author(s):  
Yong Min Kim ◽  
So Hyun Kim ◽  
Young Suk Shim

Abstract Background: This study aimed to evaluate the relationship between sodium intake and insulin resistance indices. Methods: A total of 718 Korean children and adolescents (411 boys) aged 10–18 years who participated in the Korea National Health and Nutrition Examination Survey (KNHANES) were included in the study. The urinary sodium to urinary creatinine ratio was used as a surrogate for sodium intake. The homeostatic model assessment of insulin resistance (HOMA-IR) and the quantitative insulin sensitivity check index (QUICKI) were used as indices of insulin resistance. Results: The mean urinary sodium to urinary creatinine ratio was 11.34 in males and 10.17 in females. The urinary sodium to urinary creatinine ratio was significantly positively correlated with HOMA-IR (r=0.165, p<0.001) and inversely correlated with QUICKI (r=−0.181, p<0.001) in Pearson’s correlation analyses. In a multivariate linear regression analysis, the urinary sodium to urinary creatinine ratio was independently and significantly positively associated with HOMA-IR (β=0.073, p=0.018) and significantly inversely associated with QUICKI (β=−0.080, p=0.007) after adjustment for possible confounders. HOMA-IR was independently and significantly positively associated with the urinary sodium to urinary creatinine ratio (β=0.087, p=0.018), whereas QUICKI was independently and significantly negatively associated with the urinary sodium to urinary creatinine ratio (β=−0.097, p=0.009) after controlling for confounders. Conclusions: Our results suggest that sodium intake, as estimated by the urinary sodium to urinary creatinine ratio, may be independently associated with insulin resistance in children and adolescents.


Author(s):  
Su Yeon Kye ◽  
Kyu-Tae Han ◽  
Sung Hoon Jeong ◽  
Jin Young Choi

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.


2010 ◽  
Vol 13 (2) ◽  
pp. 175-181 ◽  
Author(s):  
Qiuhua Shen ◽  
Sandra Bergquist-Beringer ◽  
Valmi D. Sousa

Objective: The association between depression and insulin resistance has been evaluated in previous studies with conflicting results. This study aimed to explore the relationship between major depressive disorder (MDD) and insulin resistance among nondiabetic young adult men and women in the United States. Method: Analyses of cross-sectional data from the National Health and Nutrition Examination Survey (NHANES), 1999—2002, were conducted. The nationally representative sample consisted of 279 men and 358 women aged 20—39 years. MDD was determined by the WHO Composite International Diagnostic Interview (CIDI). Insulin resistance was measured by the homeostasis model assessment for insulin resistance. Results: Of 637 subjects, 16 men and 18 women had MDD (weighted percentage = 6.6%, SE = 1.2). Using logistic regression, no significant association was found between MDD and insulin resistance among the nondiabetic young adults in bivariate analysis (β = -0.01, OR = 0.99, 95% CI = [0.38, 2.57], p = .98). A significant interaction effect between gender and MDD was observed. For men, MDD was negatively associated with insulin resistance after adjusting for age, race/ethnicity, waist circumference, smoking status, systolic blood pressure and triglyceride level (β = -2.12, OR = 0.12, 95% CI = [0.02, 0.62], p = .01). No significant association between MDD and insulin resistance among women was found (β = 0.61, OR = 1.84, 95% CI = [0.47, 7.14], p = .38). Conclusions: Overall findings suggest there is no significant association between MDD and insulin resistance among nondiabetic young adults aged 20—39 years. However, gender differences in this relationship were noted.


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