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尿布中采集婴儿尿液与母亲母乳中碘浓度的可靠性研究。

The Reliability of Iodine Concentration in Diaper-Retrieved Infant Urine Using Urine Collection Pads, and in Their Mothers' Breastmilk.

机构信息

Women's Clinic at Lillehammer Hospital, Innlandet Hospital Trust, 2629 Lillehammer, Norway.

Department of Medical Microbiology, Innlandet Hospital Trust, 2629 Lillehammer, Norway.

出版信息

Biomolecules. 2020 Feb 13;10(2):295. doi: 10.3390/biom10020295.

DOI:10.3390/biom10020295
PMID:32070001
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7072250/
Abstract

Mild to moderate iodine deficiency is common among women of childbearing age. Data on iodine status in infants are sparse, partly due to the challenges in collecting urine. Urinary iodine concentration (UIC) is considered a good marker for recent dietary iodine intake and status in populations. The aim of this study was to investigate the reliability of iodine concentration measured in two spot-samples from the same day of diaper-retrieved infant urine and in their mothers' breastmilk. We collected urine and breastmilk from a sample of 27 infants and 25 mothers participating in a cross-sectional study at two public healthcare clinics in Norway. The reliability of iodine concentration was assessed by calculating the intraclass correlation coefficients (ICC) and the coefficient of variation (CV). The ICC for infants' urine was 0.64 (95% confidence interval (CI) 0.36-0.82), while the ICC for breastmilk was 0.83 (95% CI 0.65-0.92) Similarly, the intraindividual CV for UIC was 0.25 and 0.14 for breastmilk iodine concentration (BIC). Compared to standard methods of collecting urine for measuring iodine concentration, the diaper-pad collection method does not substantially affect the reliability of the measurements.

摘要

轻至中度碘缺乏症在育龄妇女中较为常见。关于婴儿碘状况的数据较为匮乏,部分原因是收集尿液存在困难。尿碘浓度(UIC)被认为是人群近期碘摄入量和碘营养状况的良好指标。本研究旨在探讨同日收集的两份尿布回收婴儿尿液和其母亲母乳中碘浓度的可靠性。我们从挪威两家公立医疗诊所的 27 名婴儿和 25 名母亲的横断面研究中收集了尿液和母乳。通过计算组内相关系数(ICC)和变异系数(CV)评估碘浓度的可靠性。婴儿尿液的 ICC 为 0.64(95%置信区间 0.36-0.82),而母乳的 ICC 为 0.83(95%置信区间 0.65-0.92)。同样,UIC 的个体内 CV 为 0.25,母乳碘浓度(BIC)的个体内 CV 为 0.14。与用于测量碘浓度的标准尿液收集方法相比,尿布垫收集方法不会显著影响测量的可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8380/7072250/9bdf353a068e/biomolecules-10-00295-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8380/7072250/e32fc2759e90/biomolecules-10-00295-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8380/7072250/4a2d085125e2/biomolecules-10-00295-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8380/7072250/9bdf353a068e/biomolecules-10-00295-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8380/7072250/e32fc2759e90/biomolecules-10-00295-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8380/7072250/4a2d085125e2/biomolecules-10-00295-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8380/7072250/9bdf353a068e/biomolecules-10-00295-g003.jpg

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本文引用的文献

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Am J Clin Nutr. 2019 Jul 1;110(1):102-110. doi: 10.1093/ajcn/nqz092.
2
Urine Collection Methods in Children: Which is the Best?儿童尿液采集方法:哪种最佳?
Nurs Clin North Am. 2018 Jun;53(2):137-143. doi: 10.1016/j.cnur.2018.01.001.
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Inadequate Iodine Intake in Population Groups Defined by Age, Life Stage and Vegetarian Dietary Practice in a Norwegian Convenience Sample.
人群碘摄入量不足,这些人群按年龄、生命阶段和素食饮食习惯来定义,取自挪威的一个便利样本。
Nutrients. 2018 Feb 17;10(2):230. doi: 10.3390/nu10020230.
4
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Biol Trace Elem Res. 2018 Sep;185(1):71-77. doi: 10.1007/s12011-018-1246-9. Epub 2018 Jan 25.
5
Breast Milk Iodine Concentration Is a More Accurate Biomarker of Iodine Status Than Urinary Iodine Concentration in Exclusively Breastfeeding Women.对于纯母乳喂养的女性,母乳碘浓度比尿碘浓度是更准确的碘状态生物标志物。
J Nutr. 2017 Apr;147(4):528-537. doi: 10.3945/jn.116.242560. Epub 2017 Feb 22.
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Iodine status from childhood to adulthood in females living in North-East Italy: Iodine deficiency is still an issue.居住在意大利东北部的女性从儿童期到成年期的碘营养状况:碘缺乏仍然是一个问题。
Eur J Nutr. 2016 Feb;55(1):335-40. doi: 10.1007/s00394-015-0853-x. Epub 2015 Feb 8.
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Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.全球、地区和国家按年龄、性别划分的 240 种死因的全死因和特定死因死亡率,1990-2013 年:2013 年全球疾病负担研究的系统分析。
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