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Study on influential factors and reference values for thyroid volume in Chinese children aged 6–12 years

Published online by Cambridge University Press:  11 July 2022

Shuli An
Affiliation:
National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin 150081, People’s Republic of China Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150081, People’s Republic of China Heilongjiang Province Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin 150081, People’s Republic of China
Weidong Li
Affiliation:
Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, People’s Republic of China
Xiaofeng Wang
Affiliation:
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, People’s Republic of China
Yanling Wang
Affiliation:
Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730030, People’s Republic of China
Xian Xu
Affiliation:
Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, People’s Republic of China
Guangming Mao
Affiliation:
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, People’s Republic of China
Xiaonan Zhu
Affiliation:
Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730030, People’s Republic of China
Ming Li
Affiliation:
Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150081, People’s Republic of China
Lanchun Liu
Affiliation:
Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150081, People’s Republic of China
Xiaotao Cao
Affiliation:
Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150081, People’s Republic of China
Fangang Meng*
Affiliation:
National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin 150081, People’s Republic of China Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150081, People’s Republic of China Heilongjiang Province Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin 150081, People’s Republic of China
Peng Liu*
Affiliation:
National Health Commission & Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin 150081, People’s Republic of China Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150081, People’s Republic of China Heilongjiang Province Key Laboratory of Trace Elements and Human Health, Harbin Medical University, Harbin 150081, People’s Republic of China
*
*Corresponding authors: Fangang Meng, email mfg5181397@163.com; Peng Liu, email liup7878@163.com
*Corresponding authors: Fangang Meng, email mfg5181397@163.com; Peng Liu, email liup7878@163.com
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Abstract

The purpose of the current study was to research the factors influencing thyroid volume (TVOL) in 6–12-year-old children and update the reference values. A cross-sectional study was carried out in iodine-sufficient areas of four provinces in China. Urine, edible salt and drinking water samples were collected from children. Children’s height, weight and TVOL were measured. Ridge regression was used to screen variables for solving the multicollinearity problem. Quantile regression was used to analyse the relationship between the quantiles of TVOL and other variables. In total, 5653 children aged 6–12 years were enrolled in this study, including 2838 boys and 2815 girls. There was no significant difference in TVOL between boys and girls (P > 0·05). Spearman correlation analysis showed that total TVOL was positively correlated with age, height, weight, body surface area (BSA) and BMI, and the correlation coefficients were 0·616, 0·663, 0·669, 0·685 and 0·479, respectively. Among them, the correlation between TVOL and BSA was the strongest. According to the ridge regression results, age and BSA influenced TVOL, and the ridge regression coefficients were 0·13 and 0·94, respectively. Quantile regression further showed that age and BSA had significant influences on the whole TVOL distribution (P < 0·001). Therefore, the TVOL of children aged 6–12 years in China was mainly influenced by age and BSA, and reference values for TVOL of different genders based on age and BSA were established.

Information

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Nutrition Society
Figure 0

Table 1. Basic information of each survey site

Figure 1

Table 2. Correlation analysis between growth factors and thyroid volume (TVOL) of children

Figure 2

Fig. 1. Ridge regression parameter under GCV. The dashed line in the Fig. 1 is the cross–validation curve, and the upper and lower standard deviation curves (error lines) along the λ sequence. The mean square error is the smallest when λ is located at the leftmost vertical dashed line. The λ value calculated by R Programming Language is 0·08. The five in the topmost means that there are five independent variables. GCV, generalised cross-validation.

Figure 3

Fig. 2. Ridge trace – analysis of factors influencing thyroid volume (TVOL) based on ridge regression. It can be seen from Fig. 2 that height, weight and BMI fluctuated very little and were relatively stable, so they have little influence on TVOL and should be eliminated. The variables screened out by ridge regression were BSA and age, which have relatively large fluctuation, and the regression coefficients were 0·94 and 0·13, respectively. The five in the topmost means that there are five independent variables. BSA, body surface area.

Figure 4

Fig. 3. Analysis of influencing factors under different quantiles of thyroid volume (TVOL). The black dotted line represents the regression coefficient of the influence of each variable on TVOL under different quantiles, and the grey area is the 95 % CI of the coefficient. The solid red line represents the estimated value of each coefficient in the mean reversion model, and the dashed red line represents the 95 % CI of the coefficient in the mean reversion model. BSA, body surface area.

Figure 5

Table 3. Median and ninety-seventh percentile values for thyroid volume (TVOL) according to age in children

Figure 6

Table 4. Median and ninety-seventh percentile values for thyroid volume (TVOL) according to body surface area (BSA) in children

Figure 7

Fig. 4. The relationship between MUIC and TGR. According to the newly established TVOL reference values (by age and BSA) in this study, we got whether each child has goitre or not, and the TGR (age and BSA) in different survey points can be calculated. As we can see from the Fig. 4, the end of the fitting curve showed a slight upward trend. That is, with the increase of MUIC, especially above 250 μg/l, TGR calculated by age tends to increase (Fig. 4(a)). The TGR calculated by BSA showed a trend of first decreasing and then increasing (Fig. 4(b)). MUIC, median of urinary iodine concentration; TGR, thyroid goitre rate; TVOL, thyroid volume; BSA, body surface area.

Supplementary material: File

An et al. supplementary material

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