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[Relationship between breakfast and nutrition status study of children aged 6-17 in China from 2010 to 2012]. 2018

Li Li, and Peipei Xu, and Titi Yang, and Qian Gan, and Wei Cao, and Hui Pan, and Juan Xu, and Xiaoqi Hu, and Qian Zhang
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.

OBJECTIVE To study the relationship between the frequency of breakfast and nutrition status of children aged 6-17 in China. METHODS Data were collected from China National Nutrition and Health Surveillance in 2010-2012. By using multi-stage stratified sampling and population proportional stratified random sampling method, the research objects were 28 431 children aged 6-17 years. The information of breakfast frequency in the past week were collected by questionnaire, the child's height, weight and personal basic information were also collected. RESULTS The rate of malnutrition for children who did not eat breakfast in the past week was 16. 5%( 59/356), the rates of stunting and wasting were 5. 6%( 20/358) and 11. 0%( 39/356) respectively, which were significantly higher than the rates of children who ate breakfast everyday( P <0. 05). The risks of stunting, wasting and malnutrition in children who did not have breakfast were 1. 855( 95% CI 1. 149-2. 995), 1. 449( 95% CI 1. 017-2. 065) and1. 646( 95% CI 1. 220-2. 221) times, respectively, of the ones who had breakfast every day. The overall rate of overweight and obesity for children who had breakfast every day was 17. 1%( 4347/25360), which was significantly higher than the rate of children who did not eat breakfast( P < 0. 001), Logistic regression analysis showed that breakfast frequency was not a factor affecting children's overweight and obesity. CONCLUSIONS The risks of malnutrition prevalence for the children who don't have breakfast are more than the ones who have breakfast every day. Breakfast skipping is an independent factor to malnutrition that can increase risk of malnutrition.

UI MeSH Term Description Entries
D009749 Nutrition Surveys A systematic collection of factual data pertaining to the nutritional status of a human population within a given geographic area. Data from these surveys are used in preparing NUTRITION ASSESSMENTS. NHANES,National Health and Nutrition Examination Survey,Nutritional Surveys,Nutrition Survey,Nutritional Survey,Survey, Nutrition,Survey, Nutritional,Surveys, Nutrition,Surveys, Nutritional
D009752 Nutritional Status State of the body in relation to the consumption and utilization of nutrients. Nutrition Status,Status, Nutrition,Status, Nutritional
D001835 Body Weight The mass or quantity of heaviness of an individual. It is expressed by units of pounds or kilograms. Body Weights,Weight, Body,Weights, Body
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002681 China A country spanning from central Asia to the Pacific Ocean. Inner Mongolia,Manchuria,People's Republic of China,Sinkiang,Mainland China
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D044466 Asian People Persons having origins in any of the Asian racial groups of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. Note that OMB category ASIAN is available for United States population groups. Race and ethnicity terms, as used in the federal government, are self-identified social construct and may include terms outdated and offensive in MeSH to assist users who are interested in retrieving comprehensive search results for studies such as in longitudinal studies. Asian Continental Ancestry Group,Asian Person,Asiatic Race,Mongoloid Race,Asian Peoples,Asian Persons,Asiatic Races,Mongoloid Races,People, Asian,Person, Asian,Race, Asiatic,Race, Mongoloid
D050177 Overweight A status with BODY WEIGHT that is above certain standards. In the scale of BODY MASS INDEX, overweight is defined as having a BMI of 25.0-29.9 kg/m2. Overweight may or may not be due to increases in body fat (ADIPOSE TISSUE), hence overweight does not equal "over fat".

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