论文部分内容阅读
目的:探讨贵州省0~6岁儿童体质类型分布及其影响因素,为贵州省0~6岁儿童体质分段分类的研究及其儿童个性化预防保健措施制定提供依据。方法:2012年5月~2013年5月运用横断面调查的方法,对在贵州省6家医院进行健康体检的0~6岁儿童进行问卷调查,测量各年龄段儿童身高、体重及采用7种体质分类表对研究对象进行调查分析,并对影响0~6岁儿童体质类型分布的相关因素进行Logistic多元回归分析。结果:3 697名0~6岁儿童体质类型分布,其中生机旺盛质1 978名,占53.50%,脾虚质257名,占6.95%,积滞质432名,占11.68%,热滞质356名,占9.63%,湿滞质311名,占8.41%,心火偏旺质332名,占8.98%,异禀质31名,占0.84%;而且不同性别、不同年龄、不同民族0~6岁儿童的体质分布特点不同,男性儿童体质类型生机旺盛质、脾虚质、热滞质及湿滞质与女性儿童比较,差异均有统计学意义(P<0.01);女性儿童体质类型积滞质和心火偏旺质与男性儿童比较,差异也有统计学意义(P<0.01)。多因素Logistic回归分析结果表明,年龄、性别、饮食习惯、喂养方式、居住环境、民族、低出生体重和早产儿是影响体质类型分布的主要因素。结论:贵州省0~6岁儿童体质类型分布存在民族差异。影响体质分布的主要相关因素为年龄、性别、饮食习惯、居住环境、民族、低出生体重和早产儿。
Objective: To explore the physical distribution and its influencing factors of children aged 0 ~ 6 in Guizhou Province, and to provide a basis for the study of physical classification of children aged 0 ~ 6 in Guizhou Province and to formulate their individual preventive measures. Methods: From May 2012 to May 2013, a cross-sectional survey was conducted to investigate the health status of children aged 0-6 in 6 hospitals in Guizhou Province. The height and weight of children aged 0-6 were measured. Physical classification table to investigate the object of investigation and analysis of the impact of 0 to 6-year-old children physical type distribution of factors related to Logistic multiple regression analysis. Results: There were 3 697 children aged 0-6 years with 1 788 students (53.50%), spleen deficiency 257 (6.95%), stasis 432 (11.68%), heat stasis 356 , Accounting for 9.63%, 311 with dampness, accounting for 8.41%, 332 with heart-calming hyperopia, accounting for 8.98% and 31 with heterogeneous quality, accounting for 0.84% of the total; and different sexes, of different ages and ethnic groups of 0 to 6 years There were significant differences in the distribution of physical fitness between children and boys. There was significant difference in the quality of body constitution, spleen deficiency, heat stasis, and stasis in female children compared with female children (P <0.01) Heart fire Wang Wang quality compared with male children, the difference was statistically significant (P <0.01). Multivariate logistic regression analysis showed that age, sex, diet, feeding patterns, living environment, ethnicity, low birth weight and premature infants were the main factors influencing the distribution of body types. Conclusion: There are ethnic differences in physical type distribution among 0-6 year old children in Guizhou Province. The main factors influencing the physical distribution were age, sex, eating habits, living environment, ethnicity, low birth weight and premature infants.