| Literature DB >> 28747228 |
Maria Teresa Torres1,2,3,4, Lidia Francés5, Lluis Vila6, Josep María Manresa7,8,9, Gemma Falguera8,10, Gemma Prieto11, Roser Casamitjana12, Pere Toran7.
Abstract
BACKGROUND: Sufficient iodine intake is needed during pregnancy to ensure proper fetal development. The iodine levels of women in their first trimester of pregnancy in Catalonia are currently unknown. This data would help to determine whether our public health services should establish recommendations or interventions in this line. The aim of this study was to investigate the iodine nutritional status, prevalence of urinary iodine <150 μg/L, and tobacco use in the first trimester of pregnancy in our setting.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28747228 PMCID: PMC5530553 DOI: 10.1186/s12884-017-1423-4
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Fig. 1Histogram of the iodine concentration in the urine of pregnant women in their first trimester of pregnancy. The discontinuous line indicates the value of urinary iodine recommended in pregnant women (≥150 mg/dL). The 43.1% of these women had UIC <150 mg/dL
Characteristics of pregnant women and related urinary iodine level
| Urinary Iodine | Urinary Iodine |
| Urinary iodine (μg/L) |
| |
|---|---|---|---|---|---|
| TRIMESTER 1 |
|
|
| ||
| 172.0 [103.8–289.3] | --- | ||||
| Age | 31.0 (4.5) | 29.9 (4.6) | <0.001 | --- | --- |
| Place of residence | 0.526 | 0.976 | |||
| Urban | 413 (57.9%) | 300 (42.1%) | 157.5 [95.0–243.8] | ||
| Rural | 143 (556%) | 114 (44.4%) | 154.0 [100.6–231.5] | ||
| Place of origin | 0.127 | 0.335 | |||
| Native of Spain | 448 (57.1%) | 336 (42.9%) | 169.5 [102.2–287.5] | ||
| South America | 47 (66.2) | 24 (33.8%) | 192.5 [94.1–309.3] | ||
| Africa | 24 (46.2%) | 28 (53.8%) | 145.5 [95.3–211.3] | ||
| Other | 19 (50.0%) | 19 (50.0%) | 135.0 [85.0–249.0] | ||
| Educational level | 0.035 | 0.623 | |||
| Illiterate | 2 (40.0%) | 3 (60.0%) | 85.0 [47.6–204.0] | ||
| Incomplete primary school | 13 (46.4%) | 15 (53.6%) | 148.0 [79.8–333.5] | ||
| Primary School | 126 (54.3%) | 106 (45.7%) | 150.0 [103.5–238.5] | ||
| High School | 221 (56.2%) | 172 (43.8%) | 154.0 [95.5–232.0] | ||
| University degree | 176 (61.3%) | 111 (38.7%) | 163.0 [93.9–252.8] | ||
| Tobacco use | 0.253 | 0.263 | |||
| Non-smoker | 374 (59.1%) | 259 (40.9%) | 181.0 [104.0–294.0] | ||
| Ex-smoker | 54 (55.1%) | 44 (44.9%) | 168.0 [105.8–319.5] | ||
| Smoker | 123 (53.0%) | 109 (47.0%) | 157.5 [98.1–242.5] |
aPearson’s chi-square test
bMann-Whitney U test
Iodine intake according to the questionnaire and related urinary iodine level
| Urinary Iodine | Urinary Iodine |
| Urinary iodine (μg/L) |
| |
|---|---|---|---|---|---|
| TRIMESTER 1 |
|
|
| ||
| Milka | 0.016 | 0.003 | |||
| 0 glasses | 85 (47.8%) | 93 (52.2%) | 139.5 [88.7–230.0] | ||
| 1–2 glasses | 372 (58.8%) | 261 (41.2%) | 176.0 [105.0–294.3] | ||
| > 2 glasses | 81 (60.4%) | 53 (39.6%) | 198.0 [115.0–316.0] | ||
| Fishb | 0.220 | 0.926 | |||
| Non-consumption | 31 (53.4%) | 27 (46.6%) | 165.0 [95.8–336.0] | ||
| 1 serving | 136 (55.5%) | 109 (44.5%) | 169.0 [104.0–282.5] | ||
| 2 servings | 163 (56.2%) | 127 (43.8%) | 168.5 [98.9–307.0] | ||
| 3 servings | 115 (57.5%) | 85 (42.5%) | 171.5 [104.2–261.2] | ||
| > 3 servings | 93 (61.2%) | 59 (38.8%) | 180.0 [101.2–295.0] | ||
| Iodized salt | <0.001 | 0.001 | |||
| No | 321 (52.8%) | 287 (47.2%) | 158.0 [95.3–278.0] | ||
| Yes | 217 (64.4%) | 120 (35.6%) | 189.0 [116.5–305.0] | ||
| Iodine supplements | <0.001 | <0.001 | |||
| No | 234 (46.5%) | 269 (53.5%) | 140.0 [84.0–221.0] | ||
| Yes | 304 (68.8%) | 138 (31.2%) | 209.5 [131.0–342.0] |
aGlasses/day
bServings/week
cPearson’s chi-square test
dMann-Whitney U test
Multivariate logistic regression analysis to determine the role of dietary intake and iodine supplementation on the risk of having an iodine level < 150 μg/L
| β | SE | OR | [95%CI] |
| |
|---|---|---|---|---|---|
| MODEL 1 | |||||
| Constant | 0.633 | --- | --- | --- | --- |
| Daily milk consumption | |||||
| No consumption | Reference | --- | --- | --- | |
| 1–2 glasses | −0.453 | 0.176 | 0.636 | [0.45–0.90] | 0.010 |
| > 2 glasses | −0.522 | 0.239 | 0.593 | [0.37–0.95] | 0.029 |
| Iodized salt intake | |||||
| No consumption | Reference | --- | --- | --- | |
| consumption | −0.389 | 0.145 | 0.678 | [0.51–0.90] | 0.007 |
| Iodine supplementation | |||||
| No consumption | Reference | --- | --- | --- | |
| consumption | −0.890 | 0.138 | 0.410 | [0.31–0.54] | <0.001 |
| MODEL 2 | |||||
| Constant | 0.617 | --- | --- | --- | --- |
| Iodized salt intake and daily milk consumption | |||||
| No consumption | Reference | --- | --- | --- | |
| Only Iodized salt | −0.351 | 0.320 | 0.704 | [0.38–1.32] | 0.276 |
| Only Milk | −0.445 | 0.216 | 0.641 | [0.42–0.98] | 0.039 |
| Iodized salt and Milk | −0.850 | 0.236 | 0.427 | [0.27–0.68] | <0.001 |
| Iodine supplementation | |||||
| No consumption | Reference | --- | --- | --- | |
| consumption | −0.888 | 0.138 | 0.411 | [0.31–0.54] | <0.001 |
Result of exploratory multivariate logistic regression analysis. The dependent variable was determined by the presence of UIC <150μg/L.
Model 1 shows the covariates that were statistically significant (p < 0.05), taking under consideration Akaike’s information criterion and biological plausibility
Model 2 was obtained by combining salt intake and milk in a single variable