Evidence map›Paper›PMID 42243931›Full record

ArticleLipids in health and disease2026

A study on the differences in urinary iodine and serum iodine in relation to children's iodine nutrition and lipids.

Yan Zhang, Lili Xu, Lingbo Wang, Haiyan Gao, Jiamin Hao, Le Dong, Lili Qiu, Jiahui Wang, Shichun Yan, Lixiang Liu

Abstract read
In one paragraph

Article in Lipids in health and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yan Zhang *Centre for Endemic Disease Control, Chinese Centre for Disease Control and Prevention, Harbin Medical University, Harbin City, Heilongjiang Province, 150081, People's Republic of China.
Lili Xu *Heilongjiang Provincial Center for Disease Control and Prevention, Harbin City, Heilongjiang Province, 150081, People's Republic of China.
Lingbo WangCentre for Endemic Disease Control, Chinese Centre for Disease Control and Prevention, Harbin Medical University, Harbin City, Heilongjiang Province, 150081, People's Republic of China.
Haiyan GaoCentre for Endemic Disease Control, Chinese Centre for Disease Control and Prevention, Harbin Medical University, Harbin City, Heilongjiang Province, 150081, People's Republic of China.
Jiamin HaoCentre for Endemic Disease Control, Chinese Centre for Disease Control and Prevention, Harbin Medical University, Harbin City, Heilongjiang Province, 150081, People's Republic of China.
Le DongCentre for Endemic Disease Control, Chinese Centre for Disease Control and Prevention, Harbin Medical University, Harbin City, Heilongjiang Province, 150081, People's Republic of China.
Lili QiuEndocrinology Department of the Second Affiliated Hospital of Harbin, Medical University, Harbin City, Heilongjiang Province, 150081, People's Republic of China.
Jiahui WangCentre for Endemic Disease Control, Chinese Centre for Disease Control and Prevention, Harbin Medical University, Harbin City, Heilongjiang Province, 150081, People's Republic of China.
Shichun Yan *Heilongjiang Provincial Center for Disease Control and Prevention, Harbin City, Heilongjiang Province, 150081, People's Republic of China. Yan208@163.com.
Lixiang Liu *Centre for Endemic Disease Control, Chinese Centre for Disease Control and Prevention, Harbin Medical University, Harbin City, Heilongjiang Province, 150081, People's Republic of China. liulixiang@hrbmu.edu.cn.ORCID http://orcid.org/0000-0003-4941-6990

Funding

Normal Postgraduate Research & Practice Innovation Program of Harbin Medical University YJSCX2025-83HYD
6 · The paper itself

Abstract

The safe intake range for iodine is narrow, and abnormal nutritional status (deficiency or excess) may affect children's lipid metabolism by interfering with thyroid function. Following the widespread implementation of iodized salt in China, urinary iodine levels in children in some regions have exceeded the appropriate range. Nonetheless, the connection between iodine nutritional status and childhood dyslipidemia remains unclear. This study examined the associations between iodine status and lipid profiles among 6-17-year-old children and adolescents residing in regions of China where iodized salt is supplemented. The correlation between urinary iodine concentration (UIC), serum iodine concentration (SIC), and total cholesterol (TC) and triglyceride (TG) was explored using kernel density plots and chi-square tests. The logistic regression model incorporated covariates (age, sex, BMI) to control for potential confounding factors and examined the relationship between UIC, SIC, and lipid profile; meanwhile, stratified analysis and interaction analysis were conducted to test the effect modification of these variables on the aforementioned associations. Restricted cubic splines models based on logistic regression were utilized to examine dose-response relationships involving UIC, SIC and dyslipidemia. The results revealed that hypertriglyceridemia followed a U-shaped pattern across UIC groups, whereas hypercholesterolemia rose steadily with increasing UIC. Both outcomes showed U-shaped associations with SIC. After adjustment, UIC ≥ 300 µg/L was linked with elevated TC [OR 1.455 (1.175-1.802)]. Elevated TG was also more likely when the SIC was < 63.50 µg/L [OR 1.305(1.022,1.665)] or ≥ 82.28 µg/L [1.536(1.204,1.960)]. SIC is in a U-relationship with TG levels, whereas SIC values > 74.66 µg/L appeared to interact synergistically with TG. In conclusion, high urinary iodine is a risk factor for hypercholesterolemia, but this association is modified by BMI. Both low serum iodine and high serum iodine are linked to a higher likelihood of hypertriglyceridemia, exhibiting a non-linear relationship.

Indexed as

HypertriglyceridemiaIodineLipidsAdolescentChildChinaCholesterolDyslipidemiasFemaleHumansMaleNutritional StatusSodium Chloride, DietaryTriglyceridesCholesterolIodineiodized saltLipidsSodium Chloride, DietaryTriglyceridesAdolescentsChildrenDyslipidemiaIodine

Identifiers

PMID42243931
PMCPMC13455225

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.