The objectives of this study were to identify the dietary patterns associated with hypertension among Korean males. Data from the 2001 Korean National Health and Nutrition Survey of 1,869 men aged 20-65 years were used for the analysis. As an initial analysis, a factor analysis was applied to identify major dietary patterns among the subjects. Then logistic regression analysis was conducted to identify the pattern related with hypertension. As a result of the initial analysis, three major dietary patterns were identified. Dietary pattern 1 (traditional) was heavily loaded with vegetables, fish and cereal. Dietary pattern 2 (Western) was loaded with fast foods, bread, meats and dairy products. Dietary pattern 3 (Drinker) was loaded with mostly pork, beer and soju (Korean liquor). From the second stage of the analysis, there was a tendency of positive association between traditional patterns and hypertension risks. However, the tendency did not meet statistical significance level (p<0.05). In summary, unlikely findings from European and American studies, vegetables rich traditional dietary patterns did not show any protective effect on hypertension in Korean males. The Korean dietary practice, which is consuming salted vegetables instead of fresh vegetables, might have played a role in these findings. However, the full explanation of the findings remained to be answered with further investigation since none of the dietary patterns identified showed any statistical significance.
Purpose: Excess intake of sodium is a major diet-related risk factor for human diseases including hypertension and cancer as well as obesity and inflammation. However, findings are still controversial, and evidence is lacking in Koreans. Therefore, for better understanding of the role of dietary sodium intake in disease etiology, this study investigated the effects of dietary sodium intake on adiposity, inflammation, and hormones in Koreans. Methods: A total of 80 males and females joined the study. The general characteristics and dietary intake data were investigated by trained interviewers using a questionnaire and 24-h dietary recall, respectively. For the markers of adiposity, body weight, body mass index, percent of body fat, visceral fat area, and waist and hip circumference were measured. For the inflammation and hormone markers, leptin, adiponectin, insulin, tumor necrosis $factor-{\alpha}$, and interleukin-6 were also analyzed. Results: Multivariate linear regression analyses suggested that dietary sodium intake was not associated with adiposity. However, dietary sodium showed a significant association with insulin level: Plasma insulin concentration increased with sodium intake independent of other dietary intake or percent of body fat (${\beta}=0.296$, adjusted $r^2=0.276$, p < 0.01). Other markers for inflammation and hormonal responses were not associated with dietary sodium intake. Conclusion: Findings suggested that dietary sodium intake may be a critical modifying factor in the level of plasma insulin. However, it showed a limited effect on obesity and other inflammation markers and hormone levels. These findings should be confirmed in larger, well-designed investigations.
The purpose of this study was to categorize dietary lifestyles and analyze intake behavior regarding beverages according to lifestyles of 276 university students in Yeungnam region. Frequency analysis, factor analysis, cluster analysis, reliability analysis, one-way analysis of variance, and ${\chi}^2$ tests were conducted using SPSS V.21.0. In the factor analysis, dietary lifestyles were categorized into one of five factors: health-seeking type, popularity-seeking type, safety-seeking type, economy-seeking type and convenience-seeking type. According to cluster analysis, respondents were divided into four groups: convenience-seeking group, wellbeing-seeking group, popularity-seeking group, and indifference group. Chi-square tests showed that there were significant differences in gender, grade, dwelling status, and monthly allowance according to the four dietary lifestyle groups. The level of dietary habits and percentage of correct answers related to beverages of the wellbeing-seeking group were highest among the four groups. The frequency of beverage intake was significantly different for carbonated drinks, milk and dairy products, and sport drinks according to dietary lifestyle groups. In addition, for beverage preference, there were significant differences in carbonated drinks, sport drinks, tea and functional drinks according to dietary lifestyle groups.
Purpose: This study was performed to identify the socioeconomic factors, the health behavior factors and dietary pattern that have an influence on abdominal obesity, as measured by using the waist circumference in children and adolescents. Methods: This study used data collected from 1998, 2001, 2005 Korean National Health and Nutrition Examination Survey (NHANES). Final sample included 3,596 subjects from 10 to 19 years old who had completed necessary health examinations, health behaviors survey, and nutrition survey. Results: 12 dietary patterns emerged from factor analysis with different factor loading. Logistic regression analysis of the factors that affect abdominal obesity showed that the education level, BMI(Body Mass Index) and dietary pattern, 'Kimchi' including Korean cabbage and radish affected the abdominal obesity in children and adolescents. Conclusions: Abdominal obesity is a risk factor for morbidity and mortality, and it is associated with chronic diseases, including cardiovascular disease and diabetes. Based on the findings, it is essential to modify dietary pattern for preventing abdominal obesity, which is a condition associated with the incidence of chronic disease in adults.
Objectives: This study was performed to identify the socioeconomic factors, health behavior factors and dietary patterns that have an influence on the fasting blood glucose in adults. Methods: This study used data collected from the 2007, 2008, 2009 Korea National Health and Nutrition Examination Survey. The final sample included 4163 subjects who were 30-59 years old and who had completed the necessary health examinations, the health behaviors survey and nutrition survey. Results: Eleven dietary patterns emerged from the factor analysis with different factor loading. After controlling for potential confounders, multiple regression analysis of the dietary patterns showed that 'fruits', 'alcohols', and 'starchy foods' affected the fasting blood. Lower consumption of 'fruits' and higher consumption of 'alcohols' and 'starch foods' were significantly associated only with an increased risk of high blood glucose. Conclusions: In the light of the results of this study, it appears pretty likely that the risk of developing high blood glucose can be reduced by changing a person's dietary patterns.
Pou, Sonia Alejandra;del Pilar Diaz, Maria;De La Quintana, Ana Gabriela;Forte, Carla Antonella;Aballay, Laura Rosana
Nutrition Research and Practice
/
v.10
no.6
/
pp.616-622
/
2016
BACKGROUND/OBJECTIVES: In Argentina, obesity prevalence rose from 14.6% in 2005 to 20.8% in 2013. Although the number of studies on noncommunicable diseases and dietary patterns as a unique dietary exposure measure has increased, information on this topic remains scarce in developing countries. This is the first population-based study investigating the association between diet and obesity using a dietary pattern approach in Argentina. We aimed (a) to identify current dietary patterns of the population of $C{\acute{o}}rdoba$ city, (b) to investigate its association with obesity prevalence, and (c) to identify and describe dietary patterns from the subgroup of people with obesity. SUBJECTS/METHODS: The $C{\acute{o}}rdoba$ Obesity and Diet Study (CODIES) was conducted in $C{\acute{o}}rdoba$ city by using a random sample of n = 4,327 subjects between 2005 and 2012. Empirically derived dietary patterns were identified through principal component factor analysis. A multiple logistic regression analysis was used to investigate the association of dietary patterns with obesity. RESULTS: Four dietary patterns were identified, called "Starchy-Sugar", "Prudent", "Western", and "Sugary drinks". High scores for the "Western" pattern (with strongest factor loading on meats/eggs, processed meats, and alcohol) showed a positive association with obesity (OR: 1.33, 95% CI: 1.06-1.67, for third versus first tertile of factor score). "Meats/Cheeses" and "Snacks/Alcohol" patterns emerged in people with obesity. CONCLUSIONS: The findings suggest that high adherence to the "Western" pattern promoted obesity in this urban population. In addition, people with obesity showed characteristic dietary patterns that differ from those identified in the overall population.
Data are limited on the association between dietary patterns and screen time among Korean adolescents. The present study identified dietary patterns of 691 adolescents, aged 13-18 years, who had participated in the Third Korean National Health and Nutrition Examination Survey (KNHANES III) and analyzed their associations with screen time. Screen time was defined as the time spent watching TV, using a computer, or playing video games was calculated as a sum of all these times. Dietary patterns and their factor scores were derived from a food frequency questionnaire using the factor analysis method. To analyze the association between dietary patterns and screen time, we conducted multiple linear regression analysis. We also performed multiple logistic regression analysis to estimate odds ratios (OR) of excessive screen time (2 hours or longer per day) and 95% confidence intervals (CI). We identified 2 dietary patterns labeled "the Korean healthy dietary pattern" and "the Western diet and fast foods pattern". The former included mixed grains, legumes, potatoes, red meat, eggs, fish, dairy products, fruits, vegetables, seaweeds, and mushrooms, whereas the latter included noodles, bread, red meat, poultry, fast foods, snack, and soft drinks. After controlling for potential confounding factors, factor scores for the Korean healthy dietary pattern were inversely associated (P-value for trend < 0.01) and those for the Western diet and fast foods pattern were positively associated with the screen time (P-value for trend < 0.01). Adolescents in the top tertile of the scores for the Korean healthy dietary pattern had a multivariable-adjusted OR [95% CI] of 0.44 (0.25-0.75) for excessive screen time compared with those in the lowest tertile. On the basis of these findings, adolescents who have excessive screen time may need to be encouraged to consume a more healthy diet.
The purpose of this study was to identify dietary patterns among children and adolescents in Korea and to examine their associations with obesity and some blood profiles. One day food consumption data measured by 24-hour recalls on 2704 subjects aged 1 to 19 were used from 2001 Korea National Health and Nutrition Survey. The data of blood profiles available in the ages of 10 or older was also used. After categorizing each food consumed into 29 food or food groups, five dietary patterns were derived through a factor analysis and subjects were classified into three major dietary patterns via a cluster analysis using the factor scores. Three dietary patterns were identified as 'traditional diet' (25.6%), 'westernized-fast food' (6.2%), and 'mixed diet' (68.2%). The 'traditional diet' pattern had a higher percentage in boys. Both the 'traditional diet' and the 'westernized-fast food' had higher proportions of adolescents (12-19 y) than younger children, while the 'mixed diet' had a higher percentage of preschool children (1-5 y). Obesity rate analyzed within each age group showed no differences among 3 dietary pattern clusters. Blood pressure and all plasma profiles were not different among dietary patterns when adjusted with age and gender. Conclusively, children and adolescents in Korea had three distinct dietary patterns, which were associated with gender and age. These patterns could be useful to plan nutrition interventions for teenager health promotion.
Recently, dietary pattern analysis was emerged as an approach to examine the relationships between diet and risk of chronic diseases. This study was to identify groups with population who report similar dietary pattern in Korean genome epidemiology study (KoGES) and association with several chronic diseases. The cohort participants living in Ansung and Ansan (Gyeonggi province) were totally 10,038. Among those, 6,873 subjects with no missing values in food frequency questionnaire were included in this analysis. After combining 103 food items into 17 food groups, 4 dietary factors were obtained by factor analysis based on their weights. Factor 1 showed high factor loadings in vegetables, mushrooms, meats, fish, beverages, and oriental-cereals. Factor 2 had high factor loadings in vegetables, fruits, fish, and factor 3 had high factor loadings in cereal-oriental, cerial-western and snacks. Factor 4 showed positive high factor loadings in rice and Kimchi and negative factor loadings in mushrooms and milk and dairy products. Using factor scores of four factors, subjects were classified into 3 clusters by K-means clustering. We named those 'Rice and Kimchi eating' group, 'Contented eating' group, and 'Healthy and light eating' group depending on their eating characteristics. 'Rice and Kimchi eating' group showed high prevalence in men, farmers and 60s. 'Contented eating' group and 'Healthy and light eating' group had high prevalence in women, people living in urban area (Ansan Citizen), with high-school education and above, and a monthly income of one million won and more. 'Contented eating' group appeared lower distribution proportion in the sixties and 'Healthy and light eating' group does higher in the fifties. 'Contented eating' versus 'Rice and Kimchi eating', odds ratio for hypertension, diabetes, metabolic syndrome and obesity significantly decreased after adjusting age and sex (OR=0.64, 0.73, and 0.85 respectively, 95% CI). Although our results were from a cross-sectional study, these imply that the dietary patterns were related to diseases.
Dietary pattern analysis is important complementary approach for identifying associations between diet and chronic disease. A case-control study was conducted in order to examine dietary patterns and the risk of colon cancer in Korea. Data were collected from both 137 cases with either colorectal cancer or large bowl adenomatous polyps and 134 controls regarding social-demographic characteristics and food intake using a semi-quantitative food frequency questionnaire. We conducted factor analysis and identified 6 major dietary patterns: 'Well-being diet' characterized by higher intakes of potatoes, yogurt, soybean paste and vegetables, 'Meat & fish', 'Milk & juice', 'Pork & alcohol', 'Rice & kimchi', and 'Coffee & cake'. We calculated factor scores for each participant and examined the associations between dietary patterns and colon cancer risk. After adjusting for potential confounders, there was a relative risk for colon cancer of 0.16 (95% confidence interval, 0.07 - 0.34) when comparing the highest with the lowest tertile of the 'Well-being' pattern. Significant trends of decreasing risk of colon cancer also emerged with the 'Milk & juice' (OR = 0.40, 95% CI = 0.20 - 0.79). In contrast, inverse associations of the risk were found for 'Pork & alcohol' (OR = 1.92, 95% CI = 0.93 - 3.97), 'Coffee & cake' (OR = 2.18, 95% CI = 1.07 - 4.46). For the 'Meat & fish' pattern, the decreased risk of colon cancer was observed in the second tertile, but not in the highest tertile when comparing to the lowest. The 'Rice & kimchi' pattern had a nonsignificant association with the risk. These data suggest that major dietary patterns derived from the FFQ associated with the risk of colon cancer in Korea. Since foods are not consumed in isolation, dietary pattern research in natural eating behavior may be useful for understanding dietary causes of colon cancer.
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