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CN 34-1304/RISSN 1674-3679

Volume 28 Issue 6
Jun.  2024
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Article Contents
WANG Zhifang, ZHANG Qian, YANG Titi, XU Peipei, GAN Qian, CAO Wei, WANG Hongliang, LUO Ruihe, PAN Hui, SUN Wenxin, FU Yimeng, YANG Zhenyu, ZHAO Wenhua, XU Juan. Distribution characteristics of intelligence level among primary and secondary school students in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(6): 714-720. doi: 10.16462/j.cnki.zhjbkz.2024.06.015
Citation: WANG Zhifang, ZHANG Qian, YANG Titi, XU Peipei, GAN Qian, CAO Wei, WANG Hongliang, LUO Ruihe, PAN Hui, SUN Wenxin, FU Yimeng, YANG Zhenyu, ZHAO Wenhua, XU Juan. Distribution characteristics of intelligence level among primary and secondary school students in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(6): 714-720. doi: 10.16462/j.cnki.zhjbkz.2024.06.015

Distribution characteristics of intelligence level among primary and secondary school students in China

doi: 10.16462/j.cnki.zhjbkz.2024.06.015
Funds:

Ministry of Science and Technology Basic Resources Survey Project 2017FY101100

More Information
  • Corresponding author: XU Juan, E-mail: xujuan@ninh.chinacdc.cn
  • Received Date: 2023-11-03
  • Rev Recd Date: 2024-04-14
  • Available Online: 2024-07-13
  • Publish Date: 2024-06-10
  •   Objective  To analyze the intelligence level and the distribution characteristics of different primary and secondary school students covering 14 provinces in China.  Methods  The students in this study were from 3 348 primary and middle school students in the project of "Systematic Investigation and Application of Nutrition and Health in children aged 0-18 years in China". The Wechsler intelligence scale for children fourth edition (WISC-IV) was used to evaluate the intellectual level of 3 348 primary and secondary school students. Multiple logistic regression analysis model was used to analyze the factors affecting primary and secondary school students' intelligence.  Results  The median FSIQ score of 3 348 primary and secondary school students was 101, and the proportion of intelligence level with excellent or above, medium, critical or below was 8.12%, 87.04% and 4.84%, respectively. Multivariate logistic regression analysis showed that the probability of primary and secondary school students in urban with excellent and above intelligence level was 1.533 times of those in rural (OR=1.533);the probability of primary and secondary school students in eastern and central areas with excellent or above intelligence level was 3.183 times (OR=3.183) and 1.893 times (OR=1.893) of those in western areas; Primary and secondary school students whose parents' education level is college/university or above are 2.279 times more likely to have excellent or above intelligence than primary and secondary school students whose parents' education level is high school/technical secondary school or below (OR=2.279). Living in urban (OR=0.376), located in central area (OR=0.476), parents earned college/university degree or above (OR=0.205) are the protective factors for primary and secondary school students with critical or below intelligence level (all P < 0.05). Left-behind status is the risk factor for primary and secondary school students with critical or below intelligence level (OR=1.934, P=0.007).  Conclusions  Primary and secondary school students with medium intelligence level taking the largest proportion, rural areas, western regions, low parental education level and left-behind status are risk factors for the intelligence level of primary and secondary school students. It is suggested that more attention should be paid to the intellectual development of primary and secondary school students in rural areas, western regions, parents with low education level and left-behind status, so as to comprehensively promote the intellectual development of primary and secondary school students in China.
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