Analysis of the urinary iodine content in pregnant women and children in Shehong City from 2019 to 2023
Objective To investigate the urinary iodine content of pregnant women and children aged 8-10 years in Shehong City from 2019 to 2023,and to provide scientific guidance for the prevention of iodine deficiency diseases in this population.Methods According to the methods in the Implementation Plan for Iodine Deficiency Disease Surveillance in Shehong City from 2019 to 2023 by the Shehong Health Bureau,100 pregnant women and 200 children aged 8-10 years from five districts of Shehong City were randomly selected every year to collect everyone's urine sample once for the detection of urinary iodine content.Count data were expressed as composition ratios(％).Chi-square test was used for comparison between groups.And the test level was α=0.05(bilateral).Results From 2019 to 2023,the median urinary iodine values of pregnant women monitored in Shehong City were 151.5 μg/L,185.3 μg/L,176.1 μg/L,165.2 μg/L and 181.0 μg/L,respectively.The median urinary iodine values of children monitored were 137.1 μg/L,224.1 μg/L,184.5 μg/L,214.2 μg/L and 180.6 μg/L.The distribution differences in urinary iodine levels among pregnant women and children in different years were statistically significant(x2pregnant women=36.303,P＜0.001;x2children=54.335,P＜0.001).The distribution differences in urinary iodine levels during different stages of pregnancy were not statistically significant(x2getationai period=7.526,P=0.275).Furthermore,there was no statistically significant difference in the urinary iodine level distribution among children of different genders and age groups(x2gender=4.715,P=0.095;x2age group=1.946,P=0.745).Conclusions The urine iodine of pregnant women and children aged 8-10 years monitored in Shehong City from 2019 to 2023 reached the national iodine deficiency disease elimination standard.Health promotion should continue to be strengthened,the urine iodine content of pregnant women should be focused on,and iodine deficiency diseases should be scientifically prevented.
NETL
NSTL
万方数据
