Journal of the Korean Society of Food Science and Nutrition
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v.43
no.2
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pp.179-186
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2014
Metabolomics is the study of changes in the metabolic status of an organism as a consequence of drug treatment, environmental influences, nutrition, lifestyle, genetic variations, toxic exposure, disease, stress, etc, through global or comprehensive identification and quantification of every single metabolite in a biological system. Since most chronic diseases have been demonstrated to be linked to nutrition, nutritional metabolomics has great potential for improving our understanding of the relationship between disease and nutritional status, nutrient, or diet intake by exploring the metabolic effects of a specific food challenge in a more global manner, and improving individual health. In particular, metabolite profiling of biofluids, such as blood, urine, or feces, together with multivariate statistical analysis provides an effective strategy for monitoring human metabolic responses to dietary interventions and lifestyle habits. Therefore, studies of nutritional metabolomics have recently been performed to investigate nutrition-related metabolic pathways and biomarkers, along with their interactions with several diseases, based on animal-, individual-, and population-based criteria with the goal of achieving personalized health care in the future. This article introduces analytical technologies and their application to determination of nutritional phenotypes and nutrition-related diseases in nutritional metabolomics.
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 investigated childhood cancer survivors' behavior related to a healthy lifestyle during their survival period by comparing reports between childhood cancer survivors and their parents. Methods: In this comparative descriptive study, a survey was conducted with a 33-item questionnaire and one open-ended question about areas for improvement. The participants comprised 69 childhood cancer survivors and 69 of their parents, for a total of 138. Results: The total mean healthy lifestyle score, on a 4-point Likert scale, reported by childhood cancer survivors was 2.97, while that reported by their parents was 3.03. No significant differences in children's healthy lifestyles were found between childhood cancer survivors' and their parents' reports (t=0.86, p=.390). For the open-ended question, the main keywords based on the results of degree and eigenvector centrality were "exercise", "unbalanced diet", and "food". These keywords were present in both the children's and parents' responses. Conclusion: Obtaining information on childhood cancer survivors' healthy lifestyles based on reports from themselves and their parents provides meaningful insights into the improvement of health care management. The results of this study may be used to develop and plan healthy lifestyle standards to meet childhood cancer survivors' needs.
This study was conducted to examine the differences in perceived body weight and image and various lifestyles based on the self-rated health of university students when gender was adjusted. Five hundred fifty-five participants were asked their perceived health condition, and 58, 289, 160 and 48 students answered themselves as "very healthy", "healthy", "normal", and "unhealthy", respectively. As compared to the other 3 groups, "unhealthy" group showed higher proportions in dissatisfaction of body weight and negative perception of body image (P < 0.01). As health related lifestyles, "very healthy" group reported longer sleeping time than "unhealthy" group (P < 0.05), and had a higher proportion of people with regular exercise. Among the dietary behaviors, the frequencies of followings significantly different among the groups: "Regularity of meal time" (P < 0.01), "Eat protein foods more than twice a day" (P < 0.001), "Eat vegetables" (P < 0.01), "Eat fruit and fruit juice" (P < 0.01), "Eat vegetable oil added foods" (P < 0.01), "Eat seaweed" (P < 0.01), "Eat breakfast" (P < 0.01), "Modulation in animal fat and high in cholesterol intake" (P < 0.01). Particularly, higher proportion of subjects answered "very healthy" had higher frequencies (6-7 times/week) of these dietary behaviors. Overall results suggest that healthy lifestyle including adequate sleeping time, regular exercise, and good dietary behaviors might be potential factors affecting positive perception of health. In addition, positive perception of body weight and image were related with positive perception of health.
The purpose of this study was to compare the body compositions and food behaviors of middle aged men with different obesity indices. The subjects were 62 middle aged men who lived Gunsan city. Heights, body weights, soft/lean masses, fat masses, percentages of body fat, and fat distributions were measured. Food habits and health-related lifestyle habits were evaluated based on questionnaires. The subjects were assigned to one of the following groups based on their percentage of body fat ($\%$Fat) ; normal, overweight and obesity. The results were as follows: their heights, fat masses, percentages of body fat, WHR, RBW, BMI and fitness scores were significantly higher in the obese subjects when compared to the normal and overweight subjects. Self-perceptions of weight and desires of weight control were significantly related with their percents of Fat. The overweight and the obese groups skipped meals, ate supper out, ate snacks, smoked tobacco, and exercised less frequently than the normal group. There were no significant differences in the scores of the dietary habits and drinking of alcohol among the three groups. Therefore, proper nutritional education on regular meals and intervention is required if middle aged men want to be of normal weight and have healthy lifestyles.
In the past few decades, great progress has been made on understanding the interaction between nutrition and health status. But despite this wealth of knowledge, health problems related to nutrition continue to increase. This leads us to postulate that the continuing trend may result from a lack of consideration for intra-individual biological variation on dietary responses. Precision nutrition utilizes personal information such as age, gender, lifestyle, diet intake, environmental exposure, genetic variants, microbiome, and epigenetics to provide better dietary advices and interventions. Recent technological advances in the artificial intelligence, big data analytics, cloud computing, and machine learning, have made it possible to process data on a scale and in ways that were previously impossible. A big data platform is built by collecting numerous parameters such as meal features, medical metadata, lifestyle variation, genome diversity and microbiome composition. Sophisticated techniques based on machine learning algorithm can be used to integrate and interpret multiple factors and provide dietary guidance at a personalized or stratified level. The development of a suitable machine learning algorithm would make it possible to suggest a personalized diet or functional food based on analysis of intra-individual metabolic variation. This novel precision nutrition might become one of the most exciting and promising approaches of improving health conditions, especially in the context of non-communicable disease prevention.
Purpose: The purpose of this study was to investigate the consumption behaviors of sugar-sweetened beverages and blood lipid profiles according to food-related lifestyles of adults in Incheon. Methods: Subjects were recruited from 19 to 64 year old adults residing in Incheon who visited for the purpose of a health examination at D hospital. A total of 110 subjects consented to participate in this study and to allow their health examination records to be used at D hospital. Data were collected using self-administered questionnaires and anthropometric data, and blood lipid profiles were collected from health examination records. Statistical analysis was performed using the SPSS 20.0 program. Results: In the factor analysis, food-related lifestyles were categorized into four factors: planned purchase seeking, taste seeking, well-being seeking, and convenience seeking. Using the K-average clustering method, food-related lifestyles of subjects were categorized into two groups: health and rationality-oriented group (HRG) and convenience purchase-oriented group (CPG). Average total scores of sugar-related nutrition knowledge in the HRG were significantly higher compared to the CPG, and average scores of consumption habits regarding sugar-containing foods in the HRG were significantly lower compared to the HRG. When subjects chose sugar-sweetened beverages, the CPG showed a significantly higher frequency of checking food labeling and considering nutrition compared to the CPG. Drinking frequency of carbonated beverages in the CPG was significantly higher compared to the HRG. Conclusion: There were significant differences in sugar-related nutrition knowledge and consumption habits of sugar-sweetened beverages between the two food-related lifestyle groups. These results could be useful for establishing guidelines for reducing consumption of sugar-sweetened beverages. In addition, it is necessary to continue sugar-related nutrition education by considering the food-related lifestyles of adults.
This study aimed to investigate recognition and satisfaction toward Korean herbal foods according to dietary lifestyle as well as the actual status of using ingredients for Korean herbal foods while looking for methods to improve use. The general characteristics of the respondents included relations with foods such as learning or working on them, and the correlations with the examined items were analyzed by grouping according to dietary lifestyle. Five significant dietary lifestyle groups were derived by analyzing the groups using the factor scores from the analysis. Recognition of Korean herbal foods was higher with older respondents and more cooking experience. Regarding experience related to Korean herbal foods, the housewives showed higher satisfaction when the ingredients of foods were bought and cooked. And satisfaction with price differed significantly by dietary lifestyle. With regard to experience of using ready-to-cook or ready-to-eat products, the groups with more cooking experience indicated relatively lower satisfaction with the taste of such products. When visiting restaurants, the groups with less cooking experience showed higher satisfaction with taste and nutritional values. Regarding the actual status of using ingredients for Korean herbal foods, most of the respondents answered that hygiene and quality management, distribution and marketing, and the promotion of ingredients are all essential.
International Journal of Advanced Culture Technology
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v.11
no.3
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pp.122-130
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2023
This study aimed to identify factors associated with depression by household type among the elderly in the community during the COVID-19 pandemic. The subjects were 72,812 elderly aged 65 and over who participated in the 2020 Community Health Survey. Multivariate logistic regression with complex samples was performed to analyze the data. The incidence of depression was higher in single-person households than in multi-person households. In single-person and multi-person households, depression was higher in women, those over 75 years old, those with middle school graduates or lower, those with a household monthly income of 1 million won or less, and those receiving basic living recipients. Factors related to depression among the elderly in single-person households were physical activity, sleep time, and drinking, among the changes in lifestyle due to COVID-19. Factors related to depression among the elderly in multi-person households were physical activity, sleep time, consumption of instant food, and alcohol drinking, among the changes in lifestyle due to COVID-19, and psychological concerns due to COVID-19. Promoting mental health and developing customized programs by household type is necessary to prevent depression in the elderly in the community.
The purpose of this study was to investigate the awareness and practice on well-being life and well-being related behaviors, and the various factors affecting well-being related behaviors such as purchasing food materials, food habits, eating out and daily routine activities. A survey was conducted by questionnaire and on a 5-point Likert scale. The subjects of this study were composed of 221 students and their 102 parents who were over 40 years residing in the Ulsan area. The results of this study are summarized as follows: Almost half of the subjects (47.4%) responded that they have good health conditions; to keep a good health condition, 41.2% of the subjects were exercising regularly and 20.4% of them kept diet control. In regard to the meaning of well-being, 66.6% of the subjects thought it is the lifestyle for physical and mental richness (children: 70.6%, parents: 57.8%). 30.3% of the subjects answered that the most important part of well-being was food related. The importance order was mental richness, food related things, physical health for children, and for the parents, it was food related things, physical health, mental richness. Most of population (45.8%) answered that they have a willingness for the pursuit of a well-being life. Among the well-being related behaviors, 69.7% of subjects have purchased items (children: 61.5%, parents: 87.3%). 37.2% of the subjects have acquired information from TV. The average well-being practice score was $61.01{\pm}10.36$. Children's scores were significantly lower than the parent's scores (p < 0.001). And the average practice score of 'purchasing food materials,' 'eating out,' 'food habits,' 'daily routine activities' were $15.3{\pm}3.3,\;15.5{\pm}3.1,\;16.8{\pm}3.3$ and $13.4{\pm}3.5$, respectively. Among five types of purchasing food materials, 'purchasing domestic agricultural food' was greatest ($3.64{\pm}0.91$) and 'purchasing of organic or low agricultural chemical food products' was lowest ($3.15{\pm}0.91$). In regard to food habits, 'eating rice and bread made of mixed grains' was greatest ($3.46{\pm}1.12$) and 'eating uncooked food or zen food' was lowest ($2.46{\pm}0.99$). The practice scores were significantly affected by gender (p < 0.05), monthly income (p < 0.01), educational level (p < 0.01), presence of disease (p < 0.05), subjective health condition (p < 0.05), well-being awareness (p < 0.001) and concern with well-being (p < 0.001). Well-being awareness scores and well-being practice scores are related positively. Therefore various programs in well-being education should be necessary in order to boost the authentic perceptions of well-being and well-being oriented behaviors in any socioeconomic situation, such as different generations; industrial companies producing well-being goods for consumer's needs and satisfaction; and government and local community create various conditions for well-being oriented behavior.
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