1.The association between blood cadmium level, frequency and amount of gejang (marinated crab) intake.
Chang Yul CHOI ; Gun Il PARK ; Young Seok BYUN ; Man Joong JEON ; Kwang Hae CHOI ; Joon SAKONG
Annals of Occupational and Environmental Medicine 2016;28(1):23-
BACKGROUND: Gejang (marinated crab) is a favorite traditional food and a main source of crab intake among Koreans. The present study aimed to identify the possibility of cadmium inflow to the body through gejang; accordingly, the relationship between gejang intake frequency and amount, and blood cadmium concentrations was investigated. METHODS: Using data from the first Korea National Health and Nutrition Examination Survey in the sixth period in 2013, means and standard errors of blood cadmium concentrations in relation to gejang intake frequency and amount, as well as the monthly intake of gejang, were obtained from 1381 participants for whom data regarding blood cadmium concentration measurements was available. RESULTS: After adjustment for confounding factors, a gejang intake frequency of four or fewer times per week and a monthly intake of 200 cm3 or less had no significant effect on blood cadmium concentrations. However, participants with gejang intake of at least five times per week had a weighted mean cadmium concentration of 2.12 μg/L (p < 0.001), and participants who had a gejang monthly intake of more than 200 cm3 had a weighted mean cadmium concentration of 1.76 μg/L (p < 0.001). CONCLUSION: These results suggest that to minimize the effect of gejang consumption on blood cadmium level, gejang intake should be limited to four or less times per week and 200 cm3 or less per month. Weekly intake of at least five times and monthly intake of more than 200 cm3 may increase blood cadmium levels.
Cadmium*
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Korea
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Nutrition Surveys
2.The Korea National Health and Nutrition Examination Survey (KNHANES): Current Status and Challenges.
Epidemiology and Health 2014;36(1):e2014002-
No abstract available.
Korea
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Nutrition Surveys*
3.Maternal characteristics and weight-for-length status of young children aged 0-23 months in the Philippines.
Alea Paula V. HINOJOSA ; Nancy A. TANDANG ; Divine Grace C. DOMINGO
Acta Medica Philippina 2022;56(10):5-15
Introduction. Malnutrition in the forms of wasting and overweight among children ages 0 to 23 months is a continuing public health concern in the Philippines. Childhood malnutrition has lifelong consequences. For young children aged 0-23 months, maternal influences play a significant role in the realization of optimal nutritional status.
Objective. This study aimed to identify maternal characteristics that may influence the nutritional status of children aged 0-23 months.
Methods. This study utilized data from the 2015 Updating Survey from Department of Science and Technology-Food and Nutrition Research Institute. The association of maternal characteristics with the nutritional status of a child was determined using the Rao-Scott Chi-squared test statistic. Multinomial logistic regression was used to model a child's nutritional status using weight-for-length as an indicator.
Results. A child whose mother was educated was less likely to be wasted. The odds of a child being wasted was observed to increase with underweight mothers, longer duration of lactation and higher wealth quintile. Alternatively, the odds of a child to be overweight is reduced if the mother had formal education, was in late lactation stage, and availed tetanus toxoid vaccine. The likelihood that a child will be overweight increased with higher family wealth quintile and obesity of the mother.
Conclusion. Maternal nutritional status, education, duration of lactation, wealth quintile, and availment of prenatal services were found to be associated with the weight-for-height status of children 0-23 months. Incorporating the identified maternal factors when planning new interventions and policies is recommended to address wasting in young children.
Nutrition Surveys ; Overweight
4.General plan of Shanghai Diet and Health Survey.
Z N ZHU ; Y LU ; C F WU ; S R ZOU ; H LIU ; C F WANG ; B Z LUO ; H T YU ; M MI ; G Q WANG ; L B XIONG ; W J WANG ; C Y LUO ; J J ZANG ; Z Y WANG ; X D JIA ; X G FENG ; C Y GUO ; F WU
Chinese Journal of Epidemiology 2018;39(7):876-879
Shanghai Diet and Health Survey (SDHS) was designed to prospectively access local residents' food consumption, energy and nutrient intake, related chemical contaminant exposure, and the seasonal change trend to explore the relationship of diet with health. Data from SDHS can be used as fundamental information and scientific evidences for the development of local nutrition and food safety policies.
China
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Diet
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Energy Intake
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Health Surveys
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Nutrition Policy
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Nutrition Surveys
5.Selection of key foods for the systematic management of a food and nutrient composition database.
Jee Seon SHIM ; Jung Sug LEE ; Ki Nam KIM ; Hyun Sook LEE ; Hye Young KIM ; Moon Jeong CHANG
Nutrition Research and Practice 2017;11(6):500-506
BACKGROUND/OBJECTIVES: Food composition databases are necessary for assessing dietary intakes. Developing and maintaining a high quality database is difficult because of the high cost of analyzing nutrient profiles and the recent fast-changing food marketplace. Thus, priorities have to be set for developing and updating the database. We aimed to identify key foods in the Korean diet to set priorities for future analysis of foods. SUBJECTS/METHODS: modified the US Department of Agriculture's key food approach. First, major foods were analyzed, contributing to 75%, 80%, 85%, or 90% of each nutrient intake. Second, the cumulative contributions to nutrient intakes were compared before and after excluding the foods least commonly consumed by individuals. Third, total nutrient score for each food was calculated by summing all percent contributions times 100 for nutrients. To set priorities among the foods in the list, we sorted the score in descending order and then compared total percent contributions of foods, within the 100, 90, 85, 80, and 75 percentiles of the list. Finally, we selected the minimum list of foods contributing to at least 90% of the key nutrient intake as key items for analysis. RESULTS: Among the 1,575 foods consumed by individuals, 456 were selected as key foods. Those foods were chosen as items above the 80 percentile of the total nutrient score, among the foods contributing at least 85% of any nutrient intake. On an average, the selected key foods contributed to more than 90% of key nutrient intake. CONCLUSIONS: In total, 456 foods, contributing at least 90% of the key nutrient intake, were selected as key foods. This approach to select a minimum list of key foods will be helpful for systematically updating and revising food composition databases.
Diet
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Food Analysis
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Nutrition Surveys
9.Development of NQ-E, Nutrition Quotient for Korean elderly: item selection and validation of factor structure
Min Jae CHUNG ; Tong Kyung KWAK ; Hye Young KIM ; Myung Hee KANG ; Jung Sug LEE ; Hae Rang CHUNG ; Sehyug KWON ; Ji Yun HWANG ; Young Sun CHOI
Journal of Nutrition and Health 2018;51(1):87-102
PURPOSE: The purpose of this study was to develop a valid instrument for measuring the dietary quality and behaviors of Korean elderly. METHODS: The development of the Nutrition Quotient for Elderly (NQ-E) was conducted in three steps: item generation, item reduction, and validation. The 41 items of the NQ-E checklist were derived from a systematic literature review, expert in-depth interviews, statistical analyses of the fifth Korean National Health and Nutrition Examination Survey data, and national nutrition policies and recommendations. Pearson's correlation was used to determine the level of agreement between the questionnaires and nutrient intake level, and 24 items were selected for a nationwide survey. A total of 1,000 nationwide elderly subjects completed the checklist questionnaire. The construct validity of the NQ-E was assessed using confirmatory factor analysis, LISREL. RESULTS: The nineteen checklist items were used as final items for NQ-E. Checklist items were composed of four-factors: food behavior (6 items), balance (4 items), diversity (6 items), and moderation (3 items). The standardized path coefficients were used as the weights of the items. The NQ-E and four-factor scores were calculated according to the obtained weights of the questionnaire items. CONCLUSION: NQ-E would be a useful tool for assessing the food behavior and dietary quality of the elderly.
Aged
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Checklist
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Humans
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Nutrition Policy
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Nutrition Surveys
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Weights and Measures
10.Nutrient Intake Patterns of Koreans by the Economic Status Using 1998 Korean National Health and Nutrition Survey.
The Korean Journal of Nutrition 2003;36(10):1061-1070
The purpose of this study was to investigate differences in the diet with the amount and the qualitative assessment of nutrient intakes by the economic level. Data from the 1998 Korean Health and Nutrition Survey were used. Using the poverty line based on the 1998 Korean minimum cost of living, Subjects (n = 10400) were classified into high class (36.1%), middle class (40.7%) and low class (23.1%). Chi-square-test and Analysis of Variance following Duncan's multiple range test were used to test the difference in nutrient intake pattern among three groups (alpha = 0.05). The amount of nutrient intake and nutrient intake adequacy were statistically different by the economic level (p<0.01). The ratio of energy intake from carbohydrate is higher than the criteria of WHO recommendation in all economic levels. Especially people in the low class depended much on the carbohydrate for the energy intake. The ratio of energy from the protein and fat are lower in the middle and low class than that of the high class. The Intake level of calcium and vitamin B2 were lower than those of the Recommended Dietary intake level, regardless of economic status. It also showed differences in major food sources of nutrients by the economic level Consequently, it seems that the nutrition policy and program should be prepared according to their economic status. Also, there should more detailed studies to find out the nutrient intake pattern, their determinant, and health consequences.
Calcium
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Diet
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Energy Intake
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Nutrition Policy
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Nutrition Surveys*
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Poverty
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Riboflavin