Association of the Anxiety/Depression with Nutrition Intake in Stroke Patients

Stroke patients often experience a walking dysfunction caused by decreased mobility, weakened muscular strength, abnormal posture control, and cognitive dysfunction. Anxiety/depression is the most important and prevalent neuropsychiatric complication of stroke survivors. Brain injury and the presence of malnutrition after stroke contribute to metabolic status and clinical outcome of patients. We examined the level of nutrition intake in stroke patients according to their degree of anxiety/depression. The data were obtained from 2013 to 2015 through the Korea National Health and Nutrition Examination Survey (KNHANES). Study subjects were categorized to either a group having no problem of anxiety/depression (n = 274) or a group having a problem of anxiety or depression (n = 104). The EuroQoL-5 Dimensions Health Questionnaire (EQ-5D) index score was derived from the first description of an individual health status based on the EQ-5D classification system, including mobility, self-care, usual daily activities, pain/discomfort, and anxiety/depression. The mean age was 67.4 years in the normal group and 68.0 years in the anxiety or depression group. In the anxiety or depression group, 39.4% were men vs. 53.3% in the normal group. The total energy intake (p = 0.013), riboflavin (p = 0.041), and niacin (p = 0.038) was significantly higher in stroke patients with no anxiety/depression than those in stroke patients with having an anxiety/depression. The group having no problem of anxiety/depression had significantly higher EQ-5D index compared to the group having a problem of anxiety/depression group (p < 0.001) had. The results suggest the association between nutrition intake, usual activities and pain/discomfort status in the stroke patients with having an anxiety/depression.

Association between Genetic Variations Affecting Mean Telomere Length and the Prevalence of Hypertension and Coronary Heart Disease in Koreans

In this study, we investigated whether the single nucleotide polymorphisms (SNPs) associated with telomere length (TL) were associated with the incidence of hypertension (HTN)/coronary heart disease (CHD) and cardiovascular risk factors in the Korean population. Data from 5,705 (ages 39–70) participants in the Korean Genome Epidemiology Study (rural Ansung and urban Ansan cohorts) were studied. Twelve SNPs known to be associated with telomere biology were tested for an association with HTN/CHD. As results, no significant associations were found between the selected TL-related SNPs and prevalence of HTN and CHD. Among non-alcohol users, subjects with minor alleles in rs1269304 and rs10936601 (TERC and LRRC34, respectively) exhibited a higher rate of CHD occurrence (odds ratio [OR], 1.862; 95% confidence intervals [CIs], 1.137, 3.049; OR, 1.855; 95% CIs, 1.111, 2.985; respectively). However, alcohol users with minor alleles in rs398652 (PELI2) were significantly associated with higher HTN prevalence (OR, 1.179; 95% CIs, 1.040, 1.336). Of the 3 SNPs related to disease outcomes, rs1296304 was significantly associated with increased levels of diastolic blood pressure (β estimate, 0.470; 95% CIs, 0.013, 0.926). The minor allele in rs398652 was significantly associated with higher levels of body mass index (OR, 0.128; 95% CIs, 0.010, 0.246) and γ-glutamyl transpeptidase (OR, 0.013; 95% CIs, 0.001, 0.024). In conclusion, there were no significant associations between the selected TL-related SNPs and the occurrence of HTN/CHD in Koreans. However, the results suggest the presence of a possible interaction between related SNPs and alcohol behavior associated with HTN/CHD occurrence.

Application of Nutrigenomics in Diabetes / 임상당뇨병

Diabetes mellitus (DM) is considered a global pandemic and its incidence continues to grow worldwide. The most common treatments for controlling diabetes focus on glucose control as a means to reduce long-term complications. Major changes in diet have taken place over the past 10,000 years since the beginning of the Agricultural Revolution: however, human genes have not changed. We now live in a nutritional environment that differs from that for which our genetic constitution was selected. Nutrients and dietary patterns are central issues in the prevention, development and treatment of DM. Nutritional genomics studies generally focus on dietary patterns according to genetic variations, the role of gene-nutrient interactions, gene-diet-phenotype interactions and epigenetic modifications caused by nutrients; these studies facilitate an understanding of the early molecular events that occur in DM and contribute to the identification of better biomarkers and diagnostic tools for the disease. In particular, this approach will help develop tailored diets that maximize the use of nutrients and other functional ingredients present in food, which will aid in the prevention and delay of DM and its complications. Here, we provide an understanding of the role of gene variants and nutrient interactions, and discuss the importance of nutrients and dietary patterns on gene expression.

Estimation of Apple Intake for the Exposure Assessment of Residual Chemicals Using Korea National Health and Nutrition Examination Survey Database

The aims of this study were to develop strategies and algorithms of calculating food commodity intake suitable for exposure assessment of residual chemicals by using the food intake database of Korea National Health and Nutrition Examination Survey (KNHANES). In this study, apples and their processed food products were chosen as a model food for accurate calculation of food commodity intakes uthrough the recently developed Korea food commodity intake calculation (KFCIC) software. The average daily intakes of total apples in Korea Health Statistics were 29.60 g in 2008, 32.40 g in 2009, 34.30 g in 2010, 28.10 g in 2011, and 24.60 g in 2012. The average daily intakes of apples by KFCIC software was 2.65 g higher than that by Korea Health Statistics. The food intake data in Korea Health Statistics might have less reflected the intake of apples from mixed and processed foods than KFCIC software has. These results can affect outcome of risk assessment for residual chemicals in foods. Therefore, the accurate estimation of the average daily intake of food commodities is very important, and more data for food intakes and recipes have to be applied to improve the quality of data. Nevertheless, this study can contribute to the predictive estimation of exposure to possible residual chemicals and subsequent analysis for their potential risks.