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1.
Nutrients ; 9(1)2016 Dec 23.
Artigo em Inglês | MEDLINE | ID: mdl-28025537

RESUMO

This study was performed to examine how childhood dietary patterns change over the short term and which changes in diet-related behaviors influence later changes in individual dietary patterns. Using food frequency questionnaire data obtained from children at 7 and 9 years of age from the Ewha Birth and Growth Cohort, we examined dietary patterns by principal component analysis. We calculated the individual changes in dietary pattern scores. Changes in dietary habits such as eating a variety of food over two years were defined as "increased", "stable", or "decreased". The dietary patterns, termed "healthy intake", "animal food intake", and "snack intake", were similar at 7 and 9 years of age. These patterns explained 32.3% and 39.1% of total variation at the ages of 7 and 9 years, respectively. The tracking coefficient of snack intake had the highest coefficient (γ = 0.53) and that of animal food intake had the lowest (γ = 0.21). Intra-individual stability in dietary habits ranged from 0.23 to 0.47, based on the sex-adjusted weighted kappa values. Of the various behavioral factors, eating breakfast every day was most common in the "stable" group (83.1%), whereas consuming milk or dairy products every day was the least common (49.0%). Moreover, changes in behavior that improved the consumption of milk or dairy products or encouraged the consumption of vegetables with every meal had favorable effects on changes in healthy dietary pattern scores over two years. However, those with worsened habits, such as less food variety and more than two portions of fried or stir-fried food every week, had unfavorable effects on changes in healthy dietary pattern scores. Our results suggest that diet-related behaviors can change, even over a short period, and these changes can affect changes in dietary pattern.


Assuntos
Dieta Saudável , Comportamento Alimentar , Índice de Massa Corporal , Desjejum , Criança , Estudos de Coortes , Laticínios , Ingestão de Energia , Feminino , Seguimentos , Frutas , Humanos , Masculino , República da Coreia , Fatores Socioeconômicos , Inquéritos e Questionários , Verduras
2.
Environ Health Toxicol ; 30: e2015004, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26184046

RESUMO

OBJECTIVES: This survey was designed to conduct the first nationwide dietary exposure assessment on hazardous substances including the intakes of functional food and herbal medicine. In this paper, we introduced the survey design and the results of the dietary exposure status and internal exposure levels of lead (Pb), cadmium (Cd), and mercury (Hg). METHODS: We selected 4867 subjects of all ages throughout Korea. We conducted a food survey, dietary survey, biomonitoring, and health survey. RESULTS: Pb and Cd were the highest (median value) in the seaweed (94.2 µg/kg for Pb; 594 µg/kg for Cd), and Hg was the highest in the fish (46.4 µg/kg). The dietary exposure level (median value) of Pb was 0.14 µg/kg body weight (bw)/d, 0.18 µg/kg bw/d for Cd, and 0.07 µg/kg bw/d for Hg. Those with a blood Pb level of less than 5.00 µg/dL (US Centers for Disease Control and Prevention, reference value for those 1 to 5 years of age) were 99.0% of all the subjects. Those with a blood Cd level with less than 0.30 µg/L (German Federal Environmental Agency, reference value for non-smoking children) were 24.5%. For those with a blood Hg level with less than 5.00 µg/L (human biomonitoring I, references value for children and adults, German Federal Environmental Agency) was 81.0 % of all the subjects. CONCLUSIONS: The main dietary exposure of heavy metals occurs through food consumed in a large quantity and high frequency. The blood Hg level and dietary exposure level of Hg were both higher than those in the European Union.

3.
Eur J Epidemiol ; 24(9): 573-83, 2009.
Artigo em Inglês | MEDLINE | ID: mdl-19629723

RESUMO

The MOCEH study is a prospective hospital- and community-based cohort study designed to collect information related to environmental exposures (chemical, biological, nutritional, physical, and psychosocial) during pregnancy and childhood and to examine how exposure to environmental pollutants affects growth, development, and disease. The MOCEH network includes one coordinating center, four local centers responsible for recruiting pregnant women, and four evaluation centers (a nutrition center, bio-repository center, neurocognitive development center, and environment assessment center). At the local centers, trained nurses interview the participants to gather information regarding their demographic and socioeconomic characteristics, complications related to the current gestation period, health behaviors and environmental factors. These centers also collect samples of blood, placenta, urine, and breast milk. Environmental hygienists measure each participant's level of exposure to indoor and outdoor pollutants during the pre- and postnatal periods. The participants are followed up through delivery and until the child is 5 years of age. The MOCEH study plans to recruit 1,500 pregnant women between 2006 and 2010 and to perform follow-up studies on their children. We expect this study to provide evidence to support the hypothesis that the gestational environment has an effect on the development of diseases during adulthood. We also expect the study results to enable evaluation of latency and age-specific susceptibility to exposure to hazardous environmental pollutants, evaluation of growth retardation focused on environmental and genetic risk factors, selection of target environmental diseases in children, development of an environmental health index, and establishment of a national policy for improving the health of pregnant women and their children.


Assuntos
Monitoramento Ambiental/métodos , Poluentes Ambientais/efeitos adversos , Exposição Materna/efeitos adversos , Resultado da Gravidez/epidemiologia , Adulto , Estudos de Coortes , Pesquisa Participativa Baseada na Comunidade , Coleta de Dados , Monitoramento Epidemiológico , Feminino , Humanos , Recém-Nascido , Coreia (Geográfico)/epidemiologia , Exposição Materna/prevenção & controle , Exposição Materna/estatística & dados numéricos , Gravidez , Estudos Prospectivos , Fatores de Risco , Fatores Socioeconômicos
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