Iodine is an essential element for the production of the thyroid hormones triiodothyronine and thyroxine, which both play a crucial role in brain development and neurological function during fetal and postnatal growth( Reference Zimmermann 1 ). Severe maternal iodine deficiency is often associated with iodine deficiency in the fetus, which can affect cognition in childhood and later life. The effects of mild maternal iodine deficiency on cognition in childhood are less well understood. Intervention studies have shown significantly higher IQ scores (approximately 10 points) in iodine-sufficient groups compared with iodine-deficient groups( Reference Fierro-Benitez, Cazar and Stanbury 2 ).
In a 2007 report on iodine deficiency in Europe, WHO refers to a Recommended Nutrient Intake for iodine of 150 μg/d for adolescents and adults, rising to 250 μg/d for pregnant and lactating women( Reference Andersson, De Benoist and Darnton-Hill 3 ), which is required to support the 50 % increase in thyroid hormone production during the early stages of pregnancy( Reference Zimmermann 1 ). Although the body is capable of utilizing thyroid iodine stores during a phase of iodine insufficiency, thyroid iodine stores may not meet the higher iodine demand during conception and pregnancy( Reference Bath and Rayman 4 ). Considering the importance of iodine sufficiency in women of childbearing age, and the need to meet higher iodine requirements during pregnancy and lactation, women of childbearing age may be at particular risk of iodine deficiency.
The WHO’s first global estimate in 1980 suggested that 20–60 % of the world’s population had iodine deficiency and/or goitre, with most of the burden in developing countries( Reference Zimmermann 1 ). Salt iodization programmes were introduced in some industrialized countries as early as the 1920s( Reference Andersson, De Benoist and Darnton-Hill 3 ) but relatively few such countries were recognized as being iodine replete before 1990( Reference Zimmermann 5 ). In a report on global iodine deficiency published in 2008, the WHO listed the UK as one the countries with insufficient iodine data for the population( Reference De Benoist, McLean and Andersson 6 ). Prior to this, a review was published by Phillips in 1997 suggesting that the iodination of dairy herds resulted in a trend of declining endemic goitre and a trend of increasing iodine status in the UK since 1960s( Reference Phillips 7 ). Thus, iodine status in the UK population was overlooked for many years. Following the 2008 WHO statement, an epidemiological study in 2011 of iodine status in 737 schoolgirls suggested that iodine deficiency was prevalent in the UK population, drawing academic and public attention( Reference Vanderpump, Lazarus and Smyth 8 ).
Iodine status is assessed through dietary intake and urinary excretion. Dietary iodine intake is not considered an accurate means of assessing population iodine status due to the variability of iodine content in food( Reference Ovesen and Boeing 9 ). Rather, iodine status is preferentially determined by biomarkers which include urinary iodine concentration (UIC), goitre rate, serum thyroid-stimulating hormone and serum thyroglobulin( Reference Zimmermann 1 ). With regard to estimating iodine intake, the four commonly used markers are 24 h urine collections, spot urine collections, urinary iodine-to-creatinine ratio and estimated 24 h iodine excretion( Reference Vejbjerg, Knudsen and Perrild 10 ). WHO recommends median UIC for the assessment of population iodine status. According to the UNICEF 2007 guide for programme managers( 11 ), a median UIC of 100–199 μg/l reflects adequate iodine intake among school-age children, a range that may also be applied to women of reproductive age( 11 ); a median UIC of 150–249 μg/l is considered to reflect adequate iodine intake among pregnant women. A more recent UNICEF report supports the widening of this range (100–299 μg/l) for school-age children but not for other groups( 12 ). It is also stated that median UIC should not be used to quantify the proportion of a population with iodine deficiency, given the considerable day-to-day variation in individual UIC, but WHO proposes that not more than 20 % of a population should have UIC <50 μg/l( 12 ).
A number of studies conducted in the last decade have assessed UIC in women of childbearing age and pregnant women in the UK( Reference Vanderpump, Lazarus and Smyth 8 , Reference Bath, Walter and Taylor 13 – Reference Bath, Steer and Golding 19 ). Findings generally showed low median UIC, suggestive of iodine deficiency in these groups. Findings in the most recent report from the National Diet and Nutrition Survey (NDNS) rolling programme (2014/15 to 2015/16) are indicative of adequate iodine intake in the general female population of childbearing age, but are suggestive of iodine insufficiency in pregnant and lactating women( Reference Roberts, Steer and Maplethorpe 20 ).
Differences in methods of assessment of iodine status have contributed to inconsistency in conclusions drawn by various studies. Therefore, the aim of the present systematic literature review was to critically analyse the quality of evidence on iodine status and draw considered conclusions regarding the prevalence of iodine deficiency among women in the UK.
Methods
The present systematic review was conducted based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement checklist( Reference Liberati, Altman and Tetzlaff 21 ).
Search strategies
A systematic search of the literature was conducted on 14 September 2017 by two review authors (H.J. and G.S.R.) via four databases: Ovid MEDLINE, Web of Science, Scopus and PubMed. Keywords and Boolean operators utilized in each database were: ‘iodine deficiency’ OR ‘iodine status’ OR ‘iodine intake’ OR ‘iodine’ AND ‘women’ OR ‘young women’ OR ‘schoolgirl’ OR ‘childbearing age’ OR ‘pregnant women’ AND ‘UK’ OR ‘England’ OR ‘Scotland’ OR ‘Wales’ OR ‘Northern Ireland’. The search in Scopus was limited to ‘Keyword: Human, Humans’ and ‘Language: English’; the search in PubMed was limited to MeSH (Medical Subject Heading) terms ‘Humans’; and that in Ovid MEDLINE was refined by ‘English and Humans’. The literature search from all four databases generated a total of 1033 hits. The potential articles from each database were identified, exported and saved into EndNoteTM online version. Duplicates were removed, then relevant articles were scanned to confirm relevance by two authors (H.J. and G.S.R.). Eight authors were contacted for more detailed information related to their articles.
Eligibility criteria
The eligibility criteria were developed by two authors (J.H. and R.S.G). Studies were selected according to the following eligibility criteria: (i) studies published as an original article with full text; (ii) participants are females classed as menstruating aged 14–49 years (data in females from mixed studies could be extracted independently); and (iii) primary outcome is iodine status of pregnant and non-pregnant females of childbearing age. Studies were excluded if: (i) the paper was secondary research, such as systematic reviews, review articles, author comments and conference abstracts; (ii) the article was not in the English language; (iii) the investigation did not take place in the UK or the participants had not lived in the UK for more than 1 year; and (iv) the participants were known to have thyroid disease or to have come from an identified iodine deficiency region.
Data extraction and quality assessment
The terms used for extracting the literature were discussed between all the authors; the data extraction was carried out independently by two authors (H.J. and G.S.R.) and reviewed by the other author (H.J.P.). Data were extracted as summarized below (Tables 1 and 2). The data collection aimed to gather the study characteristics of interest: study design, geographic region, characteristics of participants (age group and sample size), time of study, iodine status or estimated iodine status assessment method, and primary assessment results (urinary iodine status, dietary assessment results and other reference values).
UIC, urinary iodine concentration; NA, not available; UIC/Creat, urinary iodine-to-creatinine ratio.
* Associated with high iodine status.
UIC, urinary iodine concentration; NA, not available.
Following data extraction, the studies were critically appraised by focusing on the study design and the methods of iodine status assessment. Evidence was critically appraised by two authors (G.S.R. and H.J.) using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology)( Reference von Elm, Altman and Egger 22 ) checklist tool and independently reviewed by the other authors. The quality assessment aims to assess strengths and limitations of observational research and a study’s generalizability. More specifically, the tool reviews items that relate to the different study sections (title, abstract, introduction, methods and discussion). The quality assessment related to the included studies (Table 3) comprised: description of contextual information, potential sources of bias, reporting of results and statistical analysis. Following study quality analysis, all aforementioned information was classed under ‘yes’ (which meant the source was provided) and ‘no’ (which meant the source was not provided). In instances where details of studies were not clear or unavailable, the ratings ‘not available’ and ‘not clear’ were used. The quality assessment relating to iodine status measurements (Table 4) were conducted by one author (H.J.) and independently reviewed by the other two authors. This assessment comprised the characteristics of iodine intake measurements in the targeted population. Overall quality rating of articles was expressed as ‘good’, ‘fair’ or ‘poor’. All disagreements related to eligibility criteria and quality assessment were discussed and resolved between the review authors.
Y, yes; NC, not clear; N, no; NA, not available
* Study in non-pregnant/non-lactating women.
NDNS, National Diet and Nutrition Survey; UIC, urinary iodine concentration; Y, yes; N, no; NA, not available.
* Study in non-pregnant/non-lactating women.
† The inappropriate data reporting in Kibirige et al.’s study( Reference Kibirige, Hutchison and Owen 23 ) suggests a poor quality of iodine assessment design.
Results
Study selection
The records identified through the database searches yielded 1033 results. After removing 294 duplicates, 739 articles were eligible for further screening. Following screening of titles and abstracts, 682 articles were excluded, including non-original articles, studies on other diseases, studies not in the UK and participants with known thyroid disease. Fifty-seven articles were screened as full-text and assessed for eligibility. After excluding forty-five articles, a qualitative synthesis of twelve studies was performed. The process of study selection along with the number of included and excluded studies in the systematic review is depicted in the PRISMA 2009 flow diagram (see Fig. 1).
Study characteristics
The study characteristics are displayed in two tables, as the WHO iodine requirements differ between pregnant and non-pregnant women. Tables 1 and 2 present the main characteristics of the twelve included studies.
Eight out of twelve articles specifically targeted pregnant women, including one study( Reference Bath, Furmidge-Owen and Redman 16 ) which collected data from three trimesters of pregnancy, aiming to determine the changing iodine status throughout gestation. The remaining studies collected data once, at either the first trimester or final trimester of gestation. Six of those studies used urinary iodine assessment to measure iodine status. Four studies targeted the general female population of childbearing age. These studies mainly focused on women between 18 and 49 years of age, except for one study( Reference Vanderpump, Lazarus and Smyth 8 ) which investigated schoolgirls aged 14–15 years. A total of 5283 participants were included in the twelve studies, with sample sizes ranging from forty-two to 1040.
Eight out of twelve studies were cross-sectional studies. Two studies( Reference Bath, Furmidge-Owen and Redman 16 , Reference Bath, Steer and Golding 19 ) were cohort studies. Although the study by Kibirige et al. ( Reference Kibirige, Hutchison and Owen 23 ) was designated as having a case group and a control group, correspondence with the author determined that it should be classed as a cross-sectional study. Thus, that study was assessed and included in the present review as a cross-sectional study. However, considering the lack of appropriate statistical analysis and inappropriate reporting of UIC, that study’s data were not included when drawing conclusions. One validation study was also included in the present review( Reference Mouratidou, Ford and Fraser 24 ). Unlike the validation study by Combet and Lean( Reference Combet and Lean 15 ) that specifically validated the dietary assessment method for iodine status, the validation study by Mouratidou et al. ( Reference Mouratidou, Ford and Fraser 24 ) covered a broad range of nutrient assessments for pregnancy, not specifically focusing on iodine intake. Therefore, the latter study was not considered appropriate for inclusion in the present review. The validation study of Combet and Lean( Reference Combet and Lean 15 ) was not included in the quality assessment as it was not an observational study.
Table 3 displays the quality assessment of all studies, of which most were cross-sectional and cohort studies, so the assessment and scoring were conducted using the STROBE checklist tool for observational cohort and cross-sectional studies( Reference von Elm, Altman and Egger 22 ). Table 4 reports the critical assessment of methods used for iodine status assessment for each study with reference to the NDNS. UIC is considered the most suitable method for assessing dietary iodine intake( Reference Vejbjerg, Knudsen and Perrild 10 , Reference Rohner, Zimmermann and Jooste 25 ). According to WHO guidelines( 11 ), median UIC is the most satisfactory method for identifying whether a population is at risk of iodine insufficiency. In this quality assessment, the studies that did not employ urinary iodine assessment were rated as ‘poor’ compared with other studies.
Discussion
The present systematic review is the first to appraise the evidence for poor iodine status among pregnant women and women of childbearing age in the UK. Heterogeneity in the initial iodine status measurements and study design make it difficult to draw an overall conclusion.
24 h Urinary iodine collection
Although 24 h urine collection is considered the reference standard for the estimation of iodine intake in an individual( Reference Vejbjerg, Knudsen and Perrild 10 ) as it is more precise than spot urinary assessment, a single 24 h urine collection is considered to be a poor index for population data due to the day-to-day variation of iodine intake. A study suggested that, in a population, 24 h urine collection requires at least ten repeat collections from an individual to assess iodine status, with only 20 % precision rate( Reference Konig, Andersson and Hotz 26 ). Only two of our selected studies had used 24 h urine collection, with one study having done 24 h urine collection once( Reference Bath, Sleeth and McKenna 14 ) and another study having done 24 h urine collection twice( Reference Combet and Lean 15 ). A notable feature of these two studies is that both of them had a relatively small sample size, with fifty-seven women( Reference Bath, Sleeth and McKenna 14 ) and forty-three women( Reference Combet and Lean 15 ), respectively. There are practical constraints to conducting a large number of 24 h urine sample collections at a population level, but the small sample size in these studies constitutes a significant limitation and precludes generalizability to women of childbearing age in the UK population.
In the study of Bath et al. ( Reference Bath, Sleeth and McKenna 14 ), although the median UIC (63·1 μg/l) indicates iodine deficiency, the median estimated iodine intake extrapolated from 24 h urinary excretion (149·8 μg/24 h) was 167 μg/d, suggesting adequate intake. The difference between these findings may be explained by the urine samples being dilute. In contrast, iodine intake estimated from 48 h food diaries was 123 μg/d, suggestive of deficient intake. The study is subject to selection bias as the participants were mainly students of nutrition and dietetics, who understood the importance of adequate iodine intake and its sources. Furthermore, samples were collected during the winter months when the iodine concentration in milk is higher than in summer( Reference Phillips 7 ). Overall the findings of Bath et al.’s( Reference Bath, Sleeth and McKenna 14 ) study should be treated as a best-case scenario of iodine status of women of childbearing age in the UK. The study by Combet and Lean( Reference Combet and Lean 15 ) reported median UIC of 74 μgl, also suggestive of iodine deficiency. While urine samples were collected during only summer and there would have been some seasonal bias, that study has only minimal selection bias because the participants were recruited randomly from the local community.
Spot urine sample collection
Conducting a spot urine sample collection in a population is far less cumbersome than a 24 h urine collection. There are three methods to report the iodine status value from spot urinary collection, which include simple UIC, iodine-to-creatinine ratio and age/sex-adjusted 24 h iodine excretion. The reporting of simple UIC is commonly used and recommended by the WHO for reporting iodine status in a population, as a median UIC( 11 ). The purpose of applying iodine-to-creatinine ratio is to minimize the variation that is caused by differences in urinary volume( Reference Vejbjerg, Knudsen and Perrild 10 ). However, creatinine excretion is influenced by factors such as sex, age and genetic background( Reference Haddow, McClain and Palomaki 27 ). When the groups are similar in age and of the same sex, correcting by creatinine concentration is valid( Reference Knudsen, Christiansen and Brandt-Christensen 28 ). In developed countries, the 24 h urine iodine excretion can be estimated from spot urinary samples and corresponding mathematical formulae( Reference Knudsen, Christiansen and Brandt-Christensen 28 ). Estimated 24 h urine iodine excretion can often be interpreted and extrapolated using the Estimated Average Requirement criteria.
Simple urinary iodine concentration from spot urine sample collection
Three of the selected studies were conducted using spot urine sample collection and reported simple UIC values only. To estimate iodine status in a population using spot urine samples it is recommended that 125 spot UIC samples are used, which is considered adequate to achieve a precision of ±10 %( Reference Andersen, Karmisholt and Pedersen 29 ). The sample size of these three selected studies all meet this recommendation, with sample sizes of 308( Reference Knight, Shields and He 17 ), 480( Reference Pearce, Lazarus and Smyth 18 ) and 737( Reference Vanderpump, Lazarus and Smyth 8 ), respectively.
A median UIC of 88·0 μg/l from a hospital-based study conducted in the south-west of the UK involving 308 pregnant women suggested this population had iodine deficiency( Reference Knight, Shields and He 17 ). However, that study showed a lack of detailed reporting of iodine assessment, such as the appropriate adjusted variation in UIC. That and a further hospital-based study( Reference Pearce, Lazarus and Smyth 18 ) did not generate nationally representative data.
Vanderpump et al. ( Reference Vanderpump, Lazarus and Smyth 8 ) conducted a survey across nine centres in the UK. The study collected 737 urine samples from schoolgirls aged 14–15 years, with a median UIC of 80·1 μg/l, suggesting a mild iodine deficiency in this group. The data may be considered nationally representative, with some caveats. The nutritional status of adolescent girls in the UK is generally poorer than for other age groups and poorer than for adolescent boys. NDNS data reported in 2018( Reference Roberts, Steer and Maplethorpe 20 ) show 27 % of girls aged 11–18 years had an iodine intake from food sources less than the Lower Reference Nutrient Intake compared with only 14 % of boys of the same age and 15 % of women aged 19–64 years.
Vanderpump et al.’s study( Reference Vanderpump, Lazarus and Smyth 8 ) was the first nationwide survey of iodine status in young females and the findings did raise public attention and concern regarding iodine status and the consequences of iodine deficiency in the general population.
The latest report from the NDNS rolling programme (2014/15 to 2015/16)( Reference Roberts, Steer and Maplethorpe 20 ) includes urinary iodine assessment in 426 women of childbearing age (16–49 years). The survey reported a median UIC of 102 μg/l, with 17 % below 50 μg/l. The findings suggest generally adequate iodine intake in this group, but values do not meet the WHO criterion of iodine adequacy in pregnant or lactating women. Although the method used in the NDNS( Reference Roberts, Steer and Maplethorpe 20 ) of spot urine sample collection has limitations (as it uses only a single method of urinary iodine collection), NDNS data are considered to be representative of the UK population.
Urinary iodine concentration corrected by creatinine and estimated 24 h urine iodine excretion
Adjusting iodine concentration with creatinine can minimize the variation caused by differences in urinary volume( Reference Vejbjerg, Knudsen and Perrild 10 ). Although urinary creatinine excretion is affected by protein intake, sex and age, the influence of these factors in the studies under scrutiny is likely to be low( Reference Bourdoux 30 , Reference Kesteloot and Joossens 31 ). A sample size of 100 spot UIC samples with the value corrected by creatinine concentration satisfies requirements for a precision of ±10 %( Reference Andersen, Karmisholt and Pedersen 29 ).
Four of the studies( Reference Bath, Walter and Taylor 13 , Reference Bath, Furmidge-Owen and Redman 16 , Reference Bath, Steer and Golding 19 , Reference Kibirige, Hutchison and Owen 23 ) in the present review reported iodine status using urinary iodine-to-creatinine ratio. Two of these studies( Reference Bath, Walter and Taylor 13 , Reference Bath, Furmidge-Owen and Redman 16 ) estimated 24 h iodine excretion by adjusting for sex and age of the individual. All these studies had a sample size of more than 100, giving greater credibility to the findings of these studies compared with smaller studies. In the 2013 study by Bath et al. ( Reference Bath, Steer and Golding 19 ) (sample size n 1040), the median UIC was 91·1 μg/l and the adjusted median iodine-to-creatinine ratio was 110 μg/g, indicating that this group of pregnant women was mildly-to-moderately iodine deficient. The urine samples were collected in the early 1990s, when the consumption of milk, a good dietary source of iodine, was higher than the present day( Reference Vanderpump, Lazarus and Smyth 8 ), suggesting that current iodine status in this group may actually be lower. Potential contamination of urine samples with urine test strips containing iodine in Bath et al.’s study( Reference Bath, Steer and Golding 19 ) reduced the sample size for analysis to 958( Reference Pearce, Lazarus and Smyth 32 ), but this remains a much larger sample than in most other studies of this nature. The study suggests a high risk of iodine deficiency in pregnant women in the UK.
A further study( Reference Bath, Furmidge-Owen and Redman 16 ) from Bath et al. in 2015 involving 230 pregnant women aimed to investigate the change in iodine status during pregnancy. A median iodine-to-creatinine ratio of 116 μg/g classified this group as mildly-to-moderately deficient, and the median Estimated Average Requirement was 143 μg/24 h, which had 55·7 % of participants below the cut-off of 160 μg/24 h. The study reduced seasonal bias by using year-round recruitment, but the sample collection was conducted locally and could not be generalized to the national population. A smaller study also carried out by Bath et al. in 2013( Reference Bath, Walter and Taylor 13 ) drew similar conclusions regarding the likelihood of mild to moderate iodine deficiency among pregnant women in the south-east of England. The study by Kibirige et al. ( Reference Kibirige, Hutchison and Owen 23 ), which was conducted in the north-east of the UK involving 227 pregnant and 227 non-pregnant women, reported a small proportion with moderate iodine deficiency in its target groups (3·5 % of pregnant women, 5·7 % of non-pregnant women) on the basis of urinary iodine-to-creatinine ratio. However, that study did not show figures for median UIC and median iodine-to-creatinine ratio, limiting the strength of the evidence.
Overall, these studies, which were all conducted with spot urine samples and used the iodine-to-creatinine ratio, suggested a risk of iodine deficiency in pregnant women.
Dietary iodine assessment
Dietary iodine intake can be used to estimate iodine status, although this approach has limitations. Estimates of the iodine content of foods vary substantially; such variability is seen between similar foods, geographical location (as iodine content in soil differs between regions and countries), and even within the same (fish) species reared under different farming conditions( Reference Rasmussen, Ovesen and Bulow 33 ). Additionally, there are only a few food composition databases containing information on iodine-rich foods( Reference Rohner, Zimmermann and Jooste 25 ) and the studies included in the present systematic review generally failed to report the selected dietary database or provide detail about dietary analysis. Five studies( Reference Bath, Walter and Taylor 13 – Reference Bath, Furmidge-Owen and Redman 16 , Reference O’Kane, Pourshahidi and Farren 34 ) selected for the systematic review included dietary assessment for salt intake, and four studies indicated the iodized salt consumption by their participants( Reference Bath, Walter and Taylor 13 , Reference Bath, Sleeth and McKenna 14 , Reference Bath, Furmidge-Owen and Redman 16 , Reference O’Kane, Pourshahidi and Farren 34 ). None of these studies reported an association between salt intake and iodine status. This may be due to the fact that iodized salt is not widely available in the UK. Also, dietary assessment methods (such as FFQ) have been shown to be inaccurate for estimating iodized salt intake because of the difficulty in capturing the exact amount of ingested salt( Reference Rohner, Zimmermann and Jooste 25 , Reference Zimmermann and Andersson 35 ). However, the food diary method seemed to be a reliable approach to estimating iodine intake in the small study among women of childbearing age by Bath et al. ( Reference Bath, Sleeth and McKenna 14 ), as a strong correlation (P <0·001) was found between iodine intake assessed from 48 h food diaries (123 μg/d) and 24 h urinary iodine excretion (149·8 μg/24 h). The 4 d food diary used in the NDNS also produced high-quality data for iodine intake by extending the collection period and thereby reducing the day-to-day variation. Findings showed an average iodine intake of 101 μg/d in girls aged 11–18 years and 140 μg/d in women aged 19–64 years (27 and 15 %, respectively, being below the Lower Reference Nutrient Intake)( Reference Roberts, Steer and Maplethorpe 20 ). All of the nine studies that included dietary assessment of iodine intake, and the dietary assessment of NDNS( Reference Roberts, Steer and Maplethorpe 20 ), suggested that milk consumption was associated with higher iodine status. In a study among pregnant women in the UK, Combet et al. ( Reference Combet, Bouga and Pan 36 ) reported poor awareness of iodine-specific recommendations (12 %) and that only a minority of women (28 %) expressed confidence in knowing how to achieve adequate iodine intake.
Iodine status
It is not possible to generalize data from single studies of iodine status to the UK population. Based on the quality ranking of the iodine assessment in Table 4, the present review drew conclusions about iodine status in women in the UK from the studies that had been rated as ‘good’ and ‘fair’. The use of different biomarkers for iodine status as well as thresholds for deficiency makes it difficult to compare data across studies. According to the latest UNICEF guidelines, median UIC should not be used to determine the proportion of a population with inadequate iodine intake( 12 ). Two of the selected studies( Reference Vanderpump, Lazarus and Smyth 8 , Reference Kibirige, Hutchison and Owen 23 ) made potentially misleading statements regarding the proportion with inadequate iodine intake in their sample population. However, the consistent reporting of low iodine intake among the selected studies should be enough to raise concerns about iodine status in women of childbearing age and pregnant women in the UK.
Limitations
The main limitation in the present systematic review is the absence of statistical analysis which was due to the heterogeneity in methods of iodine status assessment within the various studies.
Notwithstanding limitations in the data, on the basis of dietary assessment and biomarkers of iodine intake, the present review concludes that women of childbearing age and pregnant women in the UK are generally iodine insufficient.
Conclusion
Adequate iodine intake is important for women of childbearing age, particularly if pregnant/lactating or if planning pregnancy, as this may affect fetal brain development, cognitive function and IQ levels in the offspring. In the present review, most papers described small-scale studies with various limitations in study design and methods used for assessing iodine status. Although the present systematic review highlights methodological limitations and an overall lack of strong evidence on the topic, findings are consistent with generally poor iodine status in women of childbearing age and pregnant women in the UK. This indicates a need for implementing programmes to monitor iodine status in the general population. Further large-scale research is required for more accurate and reliable evidence on iodine status in the UK.
Acknowledgements
Financial support: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. The study did not receive any specific non-financial support. Conflict of interest: None. Authorship: H.J., H.J.P. and G.S.R. contributed to the research design. H.J. and G.S.R. conducted the database searching and the screening procedure. H.J. and G.S.R. completed data extraction and quality ratings and drafted the manuscript. All authors provided analytical support, commented on drafts and read and approved the final manuscript. Ethics of human subject participation: Ethical approval was not required.