To know about the characteristics of injury behaviors of the four ethnic adolescents in rural of Wuling mountainous area.

From September to October 2016, a multiple stages hierarchical cluster random sampling method was used to extract 2170 middle school students aged(15. 25±1. 70) years old from 4 rural middle schools(1011 boys, 1159 girls; 1187 junior high school students, 983 senior high school students; 537 students from the Tujia Nationality, 546 from the Miao Nationality, 523 from the Dong Nationality, and 564 from the Bai Nationality), and conducted a survey on their injuries-related behaviors by “Chinese adolescent health related behaviors questionnaire”.

The incidence rate of cycling violations, walking violations and non-safeswimming in unintentional injury behaviors of the four ethnic adolescents in rural of Wuling Mountainous Area were 29. 49%(640/2170), 3. 18%(69/2170), 29. 49%(640/2170), respectively. As to intentional injury behavior, The rates of fight, perennial insecure, suicidal idea,; enduring insomnia and depression, wanting to run away from home, having ran away from home were positively correlated(r=0. 142-0. 236, P<0. 05); depression and wanting to run away from home, having ran away from home were positively correlated(r=0. 116～0. 166, P<0. 05); wanting to run away from home and having ran away from home was positively correlated(r=0. 293, P<0. 05).

There are gender, grade and ethnic differences in the occurrence of injury behavior of the four ethnic adolescents in rural of Wuling Mountainous Area, and most injury behaviors interact with each other.

There are gender, grade and ethnic differences in the occurrence of injury behavior of the four ethnic adolescents in rural of Wuling Mountainous Area, and most injury behaviors interact with each other.

To establish the relationship between hemoglobin level of 6-23 month infants and altitude of their living places, and to determine the adjusting hemoglobin values for infants in high altitude areas.

Conduct this study by using available data from Improvement of Nutrition in Children in Poor Rural Regions. 6-23 months infants were sampled with the method of combined multi-stage stratified cluster, PPS and random equidistant. Questionnaires were used to collect data of infants and their families, feeding practices and nutrition knowledge of caretakers. The weight and length were measured by the intelligent physical examination instrument. Hemoglobin was tested by HemoCue method with blood drop from finger tips. Altitude was checked by the residence regions. Linear regressions were used to analyze the relation quotation of hemoglobin and altitude, adjusting hemoglobin values were determined with the quotation. A comparison was observed among adjusting method of CDC, Dirren and the established.

A total of 24 938 infants at age of 6-23 months were sampled from 140 counties, in 19 provinces in 2018. Data were from 22 207 male accounting for 51. 7% and 20 731 female, 48. 3%. The weight, height and hemoglobin were(77. 6±6. 2)cm, (9. 91±1. 62)kg and 11. 9 g/dL respectively. The altitude ranges from 10 m to 4236 m, averagely 893. 4 m. Anemia rates of the infants and adjusted with method from CDC, Dirren and this study were 18. 9%, 27. 5%, 22. 7% and 20. 3%, showing remarkable adjusting effect. This study obtained adjusting Hb value for 1000, 2000, 3000 and 4000 m were 0. 1, 0. 3, 0. 6 and 1. 2 g/dL respectively and noticeably lower than that of suggested by WHO.

Adjusting hemoglobin values of 6-23 months were different from the used values.

Adjusting hemoglobin values of 6-23 months were different from the used values.

To evaluate the present situation of sodium and iodine content and the correlation in pre-packaged foods in the market.

After collecting samples from physical and online supermarkets, the contents of sodium and iodine of samples were detected by inductively coupled plasma mass spectrometry, SPSS 26. 0 was applied to analyze the correlation between sodium and iodine and the utilization rate of iodized salt was calculated in pre-packaged foods.

Among various types of pre-packaged foods, fish, poultry, meat and egg products sodium(M=884 mg/100 g), iodine(M=40. 5 μg/100 g), preserved foods sodium(M=940 mg/100 g), iodine(M=40. 5 μg/100 g), animal foods sodium(M=786 mg/100 g), iodine(M=34. 9 μg/100 g) were all high in sodium and iodine content. The correlation coefficient of sodium and iodine content in staple and instant foods of animal foods was 0. 730(P<0. 01) and vegetable foods was 0. 777(P<0. 01), the preserved foods of animal foods was 0. 518(P<0. Linsitinib clinical trial 01) and vegetable foods was 0. 973(P<0. 01). The utilization rate of iodized salt in pre-packaged foods was 88. 46% after removing those samples that could cause the iodine loss, such as baked foods.

The sodium and iodine content in pre-packaged foods vary with different categories.

The sodium and iodine content in pre-packaged foods vary with different categories.

Learn about the view, cognition, willingness and attitude of the employees of Chengdu fast food takeaway business on nutrition labels and their attitude towards labeling nutrition labels on takeaway meals.

Using a multi-stage random sampling method, five districts were randomly selected in Chengdu City, Sichuan Province, and two streets were randomly selected in each of the selected districts, and the questionnaire was administered on a one-to-one basis.

A total of 834 chefs and caterers were surveyed in the fast food, simple meals category of takeaway businesses. The rate of viewing the nutrition labels on pre-packaged food by chefs and catering staff in takeaway businesses was 48. 07%, and the viewing rate was increasing with the improvement of education(χ~2=15. 379, P=0. 001). The mastery rate of nutrition label knowledge was 15. 08%, which was different for different ages(χ~2=6. 072, P=0. 048). The mastery rate of men(18. 72%) was higher than that of women(9. 91%)(χ~2=12. 193, P<0. 001), and

The take-out industry chefs and catering staff have insufficient review rate and mastery of nutrition labels, and their willingness to understand nutrition labels is not high.