| Literature DB >> 27827913 |
Anita Jorgensen1, Peter O'Leary2, Ian James3, Sheila Skeaff4, Jillian Sherriff5.
Abstract
Breast-fed infants may depend solely on an adequate supply of iodine in breast milk for the synthesis of thyroid hormones which are essential for optimal growth and cognitive development. This is the first study to measure breast milk iodine concentration (BMIC) among lactating women in Western Australian (n = 55). Breast milk samples were collected between 2014 and 2015 at a mean (±SD) of 38.5 (±5.5) days post-partum. The samples were analysed to determine median BMIC and the percentage of samples with a BMIC < 100 µg/L, a level considered adequate for breast-fed infants. The influence of (a) iodine-containing supplements and iodised salt use and (b) consumption of key iodine-containing foods on BMIC was also examined. The median (p25, p75) BMIC was 167 (99, 248) µg/L and 26% of samples had a BMIC < 100 µg/L. Overall, BMIC tended to be higher with iodine-containing supplement usage (ratio 1.33, 95% confidence interval (CI) (1.04, 1.70), p = 0.030), cow's milk consumption (ratio 1.66, 95% CI (1.23, 2.23), p = 0.002) and lower for Caucasians (ratio 0.61, 95% CI (0.45, 0.83), p = 0.002), and those with secondary school only education (ratio 0.66, 95% CI (0.46, 0.96), p = 0.030). For most women, BMIC was adequate to meet the iodine requirements of their breast-fed infants. However, some women may require the use of iodine-containing supplements or iodised salt to increase BMIC to adequate levels for optimal infant nutrition.Entities:
Keywords: breast milk; iodine; iodine status; supplementation
Mesh:
Substances:
Year: 2016 PMID: 27827913 PMCID: PMC5133086 DOI: 10.3390/nu8110699
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Sociodemographic characteristics of study participants (n = 55).
|
| % | |
|---|---|---|
| First pregnancy | ||
| Yes | 29 | 52.7 |
| No | 26 | 47.3 |
| Highest education 1 | ||
| Secondary school | 7 | 12.7 |
| Trade or technical | 3 | 5.5 |
| Diploma | 5 | 9.1 |
| Professional | 2 | 3.6 |
| Bachelor degree | 22 | 40.0 |
| Postgraduate university | 16 | 29.1 |
| Total household income | ||
| <$AUS50K | 8 | 14.5 |
| $AUS50–100K | 8 | 14.5 |
| >$AUS100K | 37 | 67.3 |
| Don’t wish to answer | 2 | 3.6 |
| Ethnicity | ||
| Caucasian | 44 | 80.0 |
| Non-Caucasian | 11 | 20.0 |
1 Tertiary educated includes Professional, Bachelor degree and Postgraduate university.
Figure 1Percentage distribution of breast milk iodine concentration (BMIC) (µg/L).
Effect of iodine supplement and iodised salt use on BMIC.
|
| Median BMIC (µg/L) | |
|---|---|---|
| Yes supplement + Yes salt | 15 | 272 ** |
| Yes supplement + No salt | 16 | 151 * |
| No supplement + Yes salt | 12 | 156 * |
| No supplement + No salt | 11 | 98 ** |
Overall p = 0.028; * There was no difference between the ‘Yes supplement + No salt’ and ‘No Supplement + Yes salt’ groups (p = 0.960); ** There was a significant difference between the ‘Yes supplement + Yes salt’ and ‘No supplement + No salt’ groups (p = 0.003).
Significant joint explanatory variables for BMIC *.
| Variable | Ratio ** (95% CI) | |
|---|---|---|
| Caucasian ethnicity | 0.61 (0.45, 0.83) | 0.002 |
| School only education | 0.66 (0.46, 0.96) | 0.030 |
| Iodine supplement use | 1.33 (1.04, 1.70) | 0.030 |
| Cow’s milk consumption | 1.66 (1.23, 2.23) | 0.002 |
* Analyses carried out on the log BMIC scale with non-significant terms (sociodemographic and dietary factors) removed by backwards elimination; ** Exponentiated coefficient from the joint model for log (BMIC) predicts the ratio of BMIC for the listed category relative to those not in the category, given fixed values of the other variables.