Influence of the physical growth indicators of primary and middle school students on hemoglobin in different economic zones of Ningxia / 中国学校卫生

ABSTRACT

Objective@#To estimate the detection rate of low hemoglobin among primary and middle school students in Ningxia, and to explore association between physical growth indicators with level of hemoglobin in different economic zones from both the student and school levels, and to provide an effective basis for anemia prevention of primary and secondary school students.@*Methods@#The stratified random cluster sampling method was used to measure 5 447 primary and middle school students physical growth indicators and hemoglobin values. Prevalence of low hemoglobin was described and its association with physical growth indicators were analyzed through HLM models.@*Results@#The detection rate of low hemoglobin among primary and middle school students was 12.7%, of which 13.0% were boys and 12.4% were girls, without significant gender differences(χ2=0.43, P>0.05). Low hemoglobin in rural areas was higher than urban areas, as well as in the lowage group which was 18.5%, 12.6%, 8.3%, 11.5% in the 7, 9, 12, and 14-year-old groups, respectively, and the differences between the groups were statistically significant(χ2=43.49, 68.13, P<0.05). The wasting group had the highest detection rate of low hemoglobin, and low hemoglobin in obesity and overweight was lower than that of the normal group, with significant differences between groups(Z=2.08, P<0.05). Positive association between height and weight with hemoglobin was observed(γ 30 =0.13, γ 40=0.06), and the association of hip circumference with hemoglobin was negative(γ 50=-0.02). Body weight had a significant associated with the hemoglobin value in different economic film intervals(P<0.05).@*Conclusion@#The detection rate of low hemoglobin is relatively high among primary and middle school students in rural areas, low-age groups, and wasting groups in Ningxia. The differences between school groups are significant, and it is necessary to mine school-level variables.