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An assessment of urinary iodine in pregnant women: Brief report

Authors :
Jamshidi, M.
Naghibzadeh-Tahami, A.
Maleki, E.
Vahidreza Borhaninejad
Alizadeh, H.
Farokhnia, M.
Daneshi, S.
Source :
Scopus-Elsevier, Tehran University Medical Journal, Vol 76, Iss 3, Pp 216-220 (2018)

Abstract

Background: According to the direct connection between congenital hypothyroidism and iodine deficiency in pregnant women, also relatively high incidence of congenital hypothyroidism in some areas of Kerman province, especially Raver district located in North of Kerman province, this study was performed to determine and compare the urinary iodine concentration (UIC) in pregnant women referring to health centers. Methods: This cross-sectional study was done during March 2014 and May 2015. Inclusion and exclusion criteria to be considered and UIC were measured by spectrophotometry in 384 and 374 pregnant women in Ravar and Kerman cities, Iran. Sampling method for this study was all of pregnant women in Ravar and random stratified sampling in Kerman. data were collected using a structured questionnaire. All statistical analyses were performed using SPSS Software, version 20.0 (IBM SPSS, Armonk, NY, USA). Chi-square test, Pearson's correlation coefficient and Logistic regression were used for associations and differences. Results: The mean UIC was 200.21 µg/L in pregnant women of Ravar and 238.79 µg/L in pregnant women of Kerman. 22.7% of pregnant women were with low concentrations of iodine, 57.8% within the normal range and 19.5 percent were with high iodine concentrations in Ravar. While 5.3 percent of pregnant women were with low concentrations of iodine, 54.5% were within the normal range and 40.1% were with high UIC in Kerman. There were no significant differences between demographic variables and UIC in the two regions (P> 05/0). Multivariate regression models showed significant connections between the residence and UIC pregnant women (P< 0.001). Conclusion: The results of this study showed that UIC in pregnant women of Ravar was significantly lower than Kerman and the place of living can be considered as a predictor of UIC in pregnant women.

Details

Database :
OpenAIRE
Journal :
Scopus-Elsevier, Tehran University Medical Journal, Vol 76, Iss 3, Pp 216-220 (2018)
Accession number :
edsair.dedup.wf.001..2cb0dda5e5131be15a01a569adb3cafe