زمينه و هدف: با توجه به اهميت نقش ميزان يد در بدن زنان باردار براي سلامت مادر و نوزاد اين مطالعه با هدف تعيين و مقايسه غلظت يد ادراري در زنان باردار اجرا شد.
روش بررسي: مطالعه بهصورت مقطعي توصيفي- تحليلي بين فروردين 1393 تا خرداد 1394 در زنان باردار تحت پوشش واحدهاي بهداشتي و درماني شهرستانهاي كرمان و راور انجام شد. معيارهاي ورود به اين مطالعه بارداري و معيارهاي خروج سابقه مصرف داروي خاص در اين دوران و مبتلا به بيماري تيروييد و سابقه ابتلا به ديابت و فشار خون بود.
يافتهها: ميانگين غلظت يد ادرار در شهرستان راور µg/L 67/41±200/21 و در شهرستان كرمان µg/L 61/19±238/79 برآورد شد (0/001
چكيده لاتين :
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> 0/05). 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.