OBJECTIVETo establish the basis for Chinese dietary exposure assessment database by classifying and coding the data from the national dietary survey and pollutant surveillance.

METHODSThe method, which combined CODEX food classifying and coding of Codex Alimentarius Commission (CAC) with Chinese food classification of food composition table, was applied to classify and code the data of 1 810 703 Chinese dietary consumption and 487 819 pollutant surveillance. The coding system was according to the first two letters of the respective food group that represent the type or source of foods, the last four digits represent the serial number of the food in the CAC food classification. If the foods can be found in CAC food code system, its original food code is used. The new codes corresponding with the foods which are not exist in CAC food code system, is added according to CAC coding methods.

RESULTSDietary consumption data were divided into 6 major categories, 19 types, 75 groups, the agricultural products of pollutant surveillance corresponding to 499 codes. Comparing with CAC food coding system, Chinese dietary consumption data have added F (candy snacks) and G (beverages) 2 major categories, 4 types, 33 groups, 302 new codes. The additional groups most were the processing food groups with Chinese characteristics, such as canned, beverages, candy, meat products.

CONCLUSIONThe foundation of data communication to dietary exposure assessment has been established, and the connection of Chinese food classifying and coding with CAC data have been achieved.

China ; Consumer Product Safety ; Databases, Factual ; Diet ; classification ; statistics & numerical data ; Diet Surveys ; Humans ; Vocabulary, Controlled

Child ; Child Health ; Child, Preschool ; China ; Diet ; Diet Surveys ; Feeding Behavior ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Rural Population ; statistics & numerical data ; Vulnerable Populations ; statistics & numerical data

PURPOSE: The purpose of this study was to evaluate the reproducibility and validity of a short food frequency questionnaire (FFQ) for food group intake in Japan, the reproducibility and partial validity of which were previously confirmed for nutrients. METHODS: A total of 288 middle-aged healthy volunteers from 11 different areas of Japan provided nonconsecutive 3-day weighed dietary records (DRs) at 3-month intervals over four seasons. We evaluated reproducibility based on the first (FFQ1) and second (FFQ2) questionnaires and their validity against the DRs by comparing the intake of 20 food groups. Spearman's rank correlation coefficients (SRs) were calculated between energy-adjusted intake from the FFQs and that from the DRs. RESULTS: The intake of 20 food groups estimated from the two FFQs was mostly equivalent. The median energy-adjusted SRs between the FFQ1 and FFQ2 were 0.61 (range 0.38-0.86) for men and 0.66 (0.45-0.84) for women. For validity, the median de-attenuated SRs between DRs and the FFQ1 were 0.51 (0.17-0.76) for men and 0.47 (0.23-0.77) for women. Compared with the DRs, the proportion of cross-classification into exact plus adjacent quintiles with the FFQ1 ranged from 58 to 86% in men and from 57 to 86% in women. According to the robust Z scores and the Bland-Altman plot graphs, the underestimation errors in the FFQ1 tended to be greater in individuals with high mean levels of consumption for meat for men and for other vegetables for both men and women. CONCLUSION The FFQ demonstrated high reproducibility and reasonable validity for food group intake. This questionnaire is short and remains appropriate for identifying associations between diet and health/disease among adults in Japan.
Adult ; Aged ; Diet/statistics & numerical data* ; Diet Surveys ; Energy Intake ; Female ; Food/statistics & numerical data* ; Healthy Volunteers ; Humans ; Japan ; Male ; Middle Aged ; Reproducibility of Results

PURPOSE: This study was conducted to identify the association of dietary intake levels with ante-natal depression among pregnant women. METHODS: Secondary data analysis was done using Can Pro software (version 3.0) to evaluate the diet intake levels with 24 hour recall diary method with 130 pregnant women visiting a general hospital. Statistical analysis included descriptive statistics, t-test, Mann-Whitney U test and adjusted logistic regression using the SPSS/WIN program. RESULTS: Whole dietary intake levels of pregnant women were insufficient according to Recommended Nutrient Intake (RI) with the except of phosphorus intake. There were significant differences in RI by gestation period and high risk pregnancies. Non-depressed women showed more intake in niacin (z=1.33, p=.018) and zinc (t=3.99, p=.048) than depressed women did. Niacin was a significant determinant of ante-natal depression (Exp (B)=5.88, p=.47, 95% CI [1.02~23.83]). CONCLUSION: Dietary intake assessment would be necessary during pregnancies for the screening of ante-natal depression. For ante-natal depression care, a tailored dietary intervention should be applied for women with insufficient nutrient intake.
Depression ; Diet ; Female ; Hospitals, General ; Humans ; Logistic Models ; Mass Screening ; Niacin ; Phosphorus ; Pregnancy ; Pregnant Women ; Statistics as Topic ; Statistics, Nonparametric ; Zinc

OBJECTIVETo evaluate the current feeding status of infants and young children under 2 years old in rural areas of Hubei province.

METHODSThe study was conducted by cluster random sampling from September 2009 to march 2010. The data on breastfeeding and complementary food supplement of the 1 197 infants and young children aged 0-23 months in 8 counties of Hubei province were collected through questionnaires. The feeding status was analyzed according to the WHO 2008 edition of Indicators for assessing infant and young child feeding practices.

RESULTSA total of 1 197 children aged 0-23 months were investigated. The rate of ever breastfeeding of children aged 0-23 months reached up to 93.9% (1 124/1 197), while the percentage of early initiation of breastfeeding was only 22.0% (263/1 197). The rates of exclusive breastfeeding under 6 months, continued breastfeeding for 1 year, and continued breastfeeding for 2 years were 72.1% (277/384), 17.0% (26/153) and 4.9% (7/144), respectively. The median time of giving complementary food was the 6th month and the weaning time was the 9th month. The rate of complementary food supplemented from 6th-8th month in time was 61.8% (444/718) . The rates of minimum dietary diversity, minimum meal frequency, minimum acceptable diet, and consumption of iron-rich or iron-fortified foods among children aged 6-23 months were 61.7% (502/813), 81.5% (663/813), 54.4% (442/813) and 50.1% (407/813), respectively.

CONCLUSIONLate initiation of breastfeeding, non-continued breastfeeding, giving complementary food too early or too late, inadequate category and frequency of complementary food, and the low rate of consumption of iron-rich or iron-fortified foods were the main issues to be concerned on infant feeding in rural areas of Hubei province.

Breast Feeding ; statistics & numerical data ; Child, Preschool ; China ; Diet Surveys ; statistics & numerical data ; Feeding Behavior ; Humans ; Infant ; Infant Food ; statistics & numerical data ; Rural Population ; Surveys and Questionnaires ; Weaning

The purpose of this study was to investigate the diet tendencies of human and companion animals using big data analysis. The keyword data of human diet and companion animals' diet were collected from the portal site Naver from January 1, 2016 until December 31, 2016 and collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis and seasonality analysis. In terms of human, the word exercise had the highest frequency through simple frequency analysis, whereas diet menu most frequently appeared in the N-gram analysis. companion animals, the term dog had the highest frequency in simple frequency analysis, whereas diet method was most frequent through N-gram analysis. Keyword network analysis for human indicated 4 groups: diet group, exercise group, commercial diet food group, and commercial diet program group. However, the keyword network analysis for companion animals indicated 3 groups: diet group, exercise group, and professional medical help group. The analysis of seasonality showed that the interest in diet for both human and companion animals increased steadily since February of 2016 and reached its peak in July. In conclusion, diets of human and companion animals showed similar tendencies, particularly having higher preference for dietary control over other methods. The diets of companion animals are determined by the choice of their owners as effective diet method for owners are usually applied to the companion animals. Therefore, it is necessary to have empirical demonstration of whether correlation of obesity between human being and the companion animals exist.
Animals ; Cats ; Diet* ; Dogs ; Friends* ; Humans* ; Methods ; Obesity ; Pets* ; Seasons ; Statistics as Topic

OBJECTIVES: The aim of this study was to develop and evaluate an obesity ontology as a framework for collecting and analyzing unstructured obesity-related social media posts. METHODS: The obesity ontology was developed according to the ‘Ontology Development 101’. The coverage rate of the developed ontology was examined by mapping concepts and terms of the ontology with concepts and terms extracted from obesity-related Twitter postings. The structure and representative ability of the ontology was evaluated by nurse experts. We applied the ontology to the density analysis of keywords related to obesity types and management strategies and to the sentiment analysis of obesity and diet using social big data. RESULTS: The developed obesity ontology was represented by 8 superclasses and 124 subordinate classes. The superclasses comprised ‘risk factors,’‘types,’‘symptoms,’‘complications,’‘assessment,’‘diagnosis,’‘management strategies,’ and ‘settings.’ The coverage rate of the ontology was 100% for the concepts and 87.8% for the terms. The evaluation scores for representative ability were higher than 4.0 out of 5.0 for all of the evaluation items. The density analysis of keywords revealed that the top-two posted types of obesity were abdomen and thigh, and the top-three posted management strategies were diet, exercise, and dietary supplements or drug therapy. Positive expressions of obesity-related postings has increased annually in the sentiment analysis. CONCLUSIONS: It was found that the developed obesity ontology was useful to identify the most frequently used terms on obesity and opinions and emotions toward obesity posted by the geneal population on social media.
Abdomen ; Diet ; Dietary Supplements ; Drug Therapy ; Obesity* ; Social Media ; Statistics as Topic* ; Thigh

To find out what foods and dishes are being consumed by people with dyslipidemia, we have researched which food groups and dish groups are utilized in order to use for nutrition educations. The data was obtained from participants in 2001 KNHNS using the 24hours recall method. Ages over 30 years old are used for the analysis. Food and dish group intakes are analyzed by gender, age, residence, education, and economic status. Dyslipidemia are divided into A, B and C groups using guideline of dyslipidemia. The differences in food consumption were analyzed and assessed by GMDVF, DDS and DVS. SAS and SPSS were used for the data analysis. Overall, In food group, people in B and C (with dyslipidemia) have higher intake levels of vegetables, while people in A (without dyslipidemia) have higher intake levels of fruits (p < 0.05). In dish group, people in B and C (with dyslipidemia) have higher intake levels of rice dish, soups and kimchi, while people A (without dyslipidemia) have higher intake levels of breads and snacks, salad and fruits (p < 0.05). In the dietary patterns of main food group (GMDVF), the pattern excluding dairy (11011) revealed the highest proportion in all groups. DDS = 4 has the highest proportion in all groups. The proportions of subjects with the low dietary diversity score increased in B and C (with dyslipidemia). Food groups that most people do not consume were dairy and fruits. The level of DVS in A (without dyslipidemia) is higher than in B and C (with dyslipidemia). With these results, it is shown that people with dyslipidemia had worse quality patterns of food intake than those without dyslipidemia. Thus we should emphasize the balanced diet and educate people how to choose foods. So it is necessary to develop food guide for people with dyslipidemia.
Adult ; Bread ; Diet ; Dyslipidemias* ; Eating ; Education ; Fruit ; Humans ; Nutrition Surveys* ; Snacks ; Statistics as Topic ; Vegetables

OBJECTIVETo establish a non-parametric probabilistic model for evaluation of Chinese dietary exposure and to improve the assessment accuracy while integrating into the global risk assessment on food safety.

METHODSContamination data was from the national food contamination monitoring program during 2000 - 2006, including heavy metals, pesticides and mycotoxins, amounting to 135 contaminants with 499 commodities and 487 819 samples. Food consumption data was obtained from the national diet and nutrition survey conducted in 2002 with three consecutive days by 24-hour recall method, and 66 172 consumers were included. Monte Carlo simulation was applied to derive the intake distribution, and the uncertainty of each percentile was estimated using the Bootstrap sampling.

RESULTSDifferent non-parametric probabilistic models for dietary exposure evaluation on heavy metals, pesticides and some of the toxins were established for Chinese people, and intake distributions with 95% confidence intervals of these contaminants were estimated. Taking acephate as an example, the results of its model shows that, for the 7 - 10 year-old children, the median dietary exposure in urban and rural areas were 1.77 microg x kg(-1) x d(-1) and 2.48 microg x kg(-1) x d(-1) respectively, with a 95% confidence interval of (1.59 - 2.06) microg x kg(-1) x d(-1) and (2.33 - 2.80) microg x kg(-1) x d(-1) respectively.

CONCLUSIONThe non-parametric probabilistic model can quantify the variability and uncertainty of exposure assessment and improve the assessment accuracy.

China ; Consumer Product Safety ; Diet Surveys ; Humans ; Models, Statistical ; Risk Assessment ; Statistics, Nonparametric

PURPOSE: The purpose of this study was to understand nurses' experience of managing diet and fluid in hemodialysis patients and to provide helpful information in improving care of hemodialysis patients. METHODS: Data were collected through in-depth interviews with ten nurses who had experience of providing care to hemodialysis patients. Colazzi's phenomenological method was used to analyze data. RESULTS: Twenty themes were identified in the first stage of data analysis and were later categorized into ten theme clusters, of which four categories were derived. The four categories were 'developing a strong feeling of responsibility for management', 'acknowledging limits in performing duties', 'providing patient-centered education' and 'becoming a guide for the long treatment process'. CONCLUSION: The study results will be useful for improving nursing curriculum to ensure more effective and successful diet and fluid management in hemodialysis patients.
Curriculum ; Diet* ; Hemodiafiltration ; Humans ; Nursing ; Qualitative Research ; Renal Dialysis* ; Statistics as Topic