Literature DB >> 22911705

Iodine nutrition and the prevalence of thyroid disease after salt iodization: a cross-sectional survey in Shanghai, a coastal area in China.

Shurong Zou1, Fan Wu, Changyi Guo, Jun Song, Cuihua Huang, Zhenni Zhu, Huiting Yu, Yanfei Guo, Xi Lu, Ye Ruan.   

Abstract

BACKGROUND: Both insufficient and excess iodine may produce thyroid disease. After salt iodization in China, the median urine iodine concentration (UIC) of children aged 8-10 years appeared adequate. However, it is unknown whether dietary changes due to rapid economic development in Shanghai have affected whole population iodine nutrition.
OBJECTIVE: To assess dietary iodine intake, UIC and the prevalence of thyroid disease in the general population of Shanghai.
DESIGN: A cross-sectional survey was conducted with general participants aged 5-69 years (n = 7,904) plus pregnant and lactating women (n = 380 each) selected by stratified multistage sampling. The iodine concentrations in their salt, drinking water and urine were measured. Daily iodine intake was estimated using the total diet study approach. Serum thyroid hormone concentrations and thyroid-related antibodies were measured and thyroid ultrasonography was performed.
RESULTS: The median iodine concentration in salt was 29.5 mg/kg, and 12.8 µg/L in drinking water. Iodized salt, used by 95.3% of participants, contributed 63.5% of total dietary iodine. Estimated daily iodine intake was 225.96 µg. The median UIC of general participants was 146.7 µg/L; UIC <100 µg/L (iodine insufficiency) was seen in 28.6%; UIC >300 µg/L (iodine excess) in 10.1%. Pregnant women had a median UIC of 135.9 µg/L, with UIC <150 µg/L in 55.4%. Thyroid nodules and subclinical hypothyroidism were found in 27.44% and 9.17%, respectively.
CONCLUSIONS: According to published criteria, the current dietary iodine intake in Shanghai was generally sufficient and safe, but insufficient in pregnant women. Thyroid nodules and subclinical hypothyroidism were the commonest thyroid diseases identified.

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Year:  2012        PMID: 22911705      PMCID: PMC3414375          DOI: 10.1371/journal.pone.0040718

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Iodine is required for the synthesis of thyroid hormones; both insufficient and excess intake may lead to thyroid disease. Data from the World Health Organization (WHO), United Nations Children’s Fund (UNICEF), and International Council for the Control of Iodine Deficiency Disorders (ICCIDD) in 2007 estimated that about 30% (1900.9 million) of the world’s population has insufficient iodine intake, with the worst affected regions according to the WHO being South-East Asia and Europe [1]. Iodine deficiency disorders (IDD) were once common in China. Therefore, a universal salt iodization (USI) program has been carried out in China since 1995, with effective control of IDD. An assessment from the Chinese Ministry of Health in 2000 indicated that China had completely eliminated IDD. Shanghai, the biggest coastal city in China, had been considered a non-IDD-endemic area. However, a survey in 1995 of urine iodine concentration (UIC) in children aged 8–10 years indicated their concentration of nutritional iodine was low, with the median UIC of children from urban and suburban areas being 72.27 µg/L and 57.23 µg/L, respectively [2]. Therefore, iodized salt has been supplied in Shanghai since 1996, and the median UIC of children aged 8–10 years in Shanghai has been adequate or sufficient from 1997 to 2005 [3]–[6]. Rapid economic development in Shanghai has now introduced remarkable variations in diet and eating habits that may have influenced iodine intake, but whether iodine nutrition has actually changed as a result is unknown. Furthermore, a survey on children aged 8–10 years only cannot represent the nutritional iodine status of the entire population because other vulnerable groups in the population may have a different nutritional iodine status [7]. Therefore, the aim of this survey was to assess dietary iodine intake, UIC and the prevalence of thyroid disease in the whole population of Shanghai 13 years after the introduction of salt iodization. The information obtained could provide the basis for further government policy-making.

Subjects and Methods

Subjects

A cross-sectional survey was conducted from September 2009 to December 2009. All residents who had been in Shanghai for more than 12 months were initially eligible for inclusion. Those with serious mental disorders or dementia, those who were deaf or bedridden, or those who had hepatitis (infectious period), active tuberculosis, AIDS or other infectious diseases were excluded. A multi-stage stratified random sampling scheme was used to recruit participants from general population. Firstly, two streets/towns were randomly selected from each district in Shanghai. Secondly, two neighborhoods/villages were randomly selected from each selected street/town. Thirdly, a number of resident groups were chosen from each selected neighborhood/village to meet the sample size requirements. In the fourth stage, 13 children/adolescents for each age group (5–9, 10–14, 15–19 years) and 65 households for participants aged 20–69 years were randomly recruited from selected resident groups in each neighborhood/village; the KISH table was used to determine an adult participant aged 20–69 year from each of the 65 households. Ten pregnant women and ten lactating women were randomly recruited from records registered from August 1 to August 31, 2009, in the above selected streets/towns from each district, respectively. A multi-stage sampling method was also used based on above recruited unites for dietary iodine assessment. Firstly, ten districts were randomly selected from all districts. Secondly, one neighborhood/village was randomly selected from the above selected neighborhoods/villages in each of the ten districts. Finally, 30 households from the 65 selected households in the above selected neighborhood/village were randomly recruited for dietary assessment. The potential samples and response rates were listed in . The survey protocol was approved by the medical ethics committee of Shanghai municipal center for disease control and prevention. Written informed consent was obtained from all participants.
Table 1

A summary of the samples collected and investigations performed in the general population and the two subgroups.

PopulationSampleNumber of potential samplesNumber of responses/samples obtained (%)Number of satisfactory samples/investigations (%)
Table salt* 86647940/91.647617/87.92
Drinking water* 86648106/93.568080/93.26
General participantsQuestionnaire79047410/93.757369/93.23
Urine79047113/89.996905/87.36
Blood59285228/88.195168/87.18
Ultrasound59285225/88.145167/87.16
Dietary survey300279/93.00279/93.00
Pregnant womenUrine380367/96.58343/90.26
Lactating womenUrine380370/97.37353/92.89

If two participants were from the same household, only one set of table salt and drinking water samples was collected per household.

If two participants were from the same household, only one set of table salt and drinking water samples was collected per household.

Methods

A questionnaire was designed to obtain general personal information, which included sex, age, nationality, physical activity, personal or family history of thyroid disease (including time of diagnosis) and intake of iodine supplements. The questionnaire was administrated face-to-face by trained staffs in home. All questionnaires had been immediately checked for quality and completeness after the home interview. The total diet study approach was used to estimate the daily iodine intake for a “reference man”. The iodine concentrations in table salt, drinking water and urine were measured for all participants. Serum thyroid stimulating hormone (TSH), free triiodothyronine (FT3), free tetraiodothyronine (FT4), thyroglobulin antibody (TgAb), thyroid peroxidase antibody (TPOAb) and TSH receptor antibody (TRAb) were measured, and ultrasonography of the thyroid was performed for the general population aged over 15 years. For each household, table salt samples of at least 100 g were collected, which were then sealed and stored at room temperature away from light until measurements could be made. The concentration of iodine was measured by the colorimetric titration method. The proportion of households using iodized salt was defined as the percentage of salt samples with an iodine concentration of at least 5 mg/kg. The proportion of households using adequately iodized salt was defined as the percentage of salt samples with an iodine concentration of 20–50 mg/kg (the current standard for salt iodization in China). Each household also provided drinking water samples of at least 50 mL, which were then sealed and stored at room temperature away from light until measurements could be made using the spectrophotometric method. The main processes of the total diet study approach were dietary survey, food clustering, sample collecting, food cooking and sample preparation. Food iodine concentration was measured using the inductively coupled plasma mass spectrometry method. To estimate the iodized salt contribution and iodine loss as a result of cooking, we prepared two sets of samples, one cooked with iodized salt, another cooked with noniodized salt. All participants provided spot urine samples of at least 20 mL, which were sealed and stored at −20°C until measurements could be made using the colorimetric ceric ion-arsenious acid ash method, based on the Sandell–Kolthoff reaction. Approximately 5 mL fasting venous blood was collected from the general population aged over 15 years. Serum was stored at −70°C after centrifugation until measurements could be made. TSH, FT3, FT4, TgAb and TPOAb were measured using the chemiluminescence immunoassay method, with electrochemical luminescence (Roche E601, Germany). TRAb was measured using radioimmunoassay. Thyroid ultrasonography was performed by specially trained technicians using equipment with 7.5-MHz linear transducers.

Diagnostic Criteria for Thyroid Diseases

The diagnostic criteria for thyroid diseases are listed in [–[. For the purposes of this study, patients were termed “euthyroid” if their thyroid gland was normal both by the blood assays and by ultrasound.
Table 2

Diagnostic criteria for the various thyroid diseases.

Thyroid Diseases * Diagnostic Criteria
Nodule
Single noduleNormal thyroid volume with a single nodule >3 mm in diameter
Multiple nodulesNormal thyroid volume with >2 nodules >3 mm in diameter
Goiter
DiffuseDiffusely increased left and right lobes without nodules on ultrasound
NodularAsymmetrically increased left and right lobes, or no increased lobe size, on ultrasound. Irregular dark dense echoes and numerous nodules throughout the thyroid.
HyperthyroidismTSH <0.27 mIU/L, FT4>22 pmol/L orFT3>6.8 pmol/L
Subclinical hyperthyroidismTSH <0.27 mIU/L, FT3 and FT4 within the normal range
HypothyroidismTSH >4.2 mIU/L, FT4<12 pmol/L
Subclinical hypothyroidismTSH >4.2 mIU/L, FT4 within the normal range
Autoimmune thyroid disease
Graves’ diseaseHyperthyroidism. Diffuse goiter on ultrasound. TPOAb >34 U/ml or TRAb ≥5 U/L
Chronic lymphocytic thyroiditis
Hashimoto’s thyroiditisHypothyroidism. TPOAb >34 U/ml or TgAb >115 U/ml. Diffuse goiter on ultrasound without history of thyroid surgery or radioisotopic therapy
Atrophic thyroiditisHypothyroidism. TPOAb >34 U/ml or TgAb >115 U/ml. Thyroid atrophy on ultrasound without any history of thyroid surgery or radioisotopic therapy

Reference ranges: FT3 3.1–6.8 pmol/L; FT4 12–22 pmol/L; TSH 0.27–4.2 mIU/L; TPOAb 0.0–34 U/ml; TgAb 0.0–115 U/ml; TRAb <5.00 U/L.

Reference ranges: FT3 3.1–6.8 pmol/L; FT4 12–22 pmol/L; TSH 0.27–4.2 mIU/L; TPOAb 0.0–34 U/ml; TgAb 0.0–115 U/ml; TRAb <5.00 U/L.

Statistical Analysis

Statistical analysis was conducted by using SAS, version 9.1.3. Normally distributed data were expressed as the mean ± SD. Non-normally distributed data were expressed as the median, with the 25th and 75th percentiles. A comparison of proportion for different sex or age groups was performed using the Cochran–Mantel–Haenszel test. Comparison of UICs between euthyroid participants and those with thyroid disease was performed using the Wilcoxon test. For undetected values, the processing was as follows: for values below the lower limit of detection (LOD), results were expressed as 1/2 lower LOD; for values above the upper LOD, results were expressed as 1/2 upper LOD [12], [13].

Results

Summary of Samples Obtained

The details of potential samples, the responses and samples obtained and the number of satisfactory samples for general population, pregnant women and lactating women are listed in . Assessment of the representative features of current sample. Myers’ index: that Myers’ index is greater than 60 in a sample means there is a serious age preference. However, Myer’s index was only 16.92 in the current whole sample (male: 17.04, female: 18.76). Therefore, our sample had no age preference ( ).
Table 3

Myers indexes of age heaping.

Age terminal digit5–59 yrs15–69 yrs AX + BY Proportion (%)|Proportion (%)−10%|
Samplesize A WeightX Samplesize B WeightY
Male +Female06201508951968.451.55
15492464847967.802.20
25693481750408.191.81
35794515654548.871.13
45435462550658.231.77
575066254694211.291.29
670976403690311.221.22
767185892655010.650.65
879095971770712.532.53
9785106020786012.782.78
Total61513100.0016.92
Male03191252951928.441.56
12892242848107.822.18
22843237750748.251.75
32974273654068.791.21
42765222550258.171.83
540563224700011.381.38
638673453688311.191.19
735283082654610.650.65
841192941770712.532.53
9402103090785012.772.77
Total61493100.0017.04
Female03011256925878.131.87
12602222825147.902.10
22853244725117.892.11
32824242628268.881.12
42675240524907.822.18
534563034371811.681.68
632372953373711.741.74
731982812343210.780.78
837993031399312.552.55
9383102930402012.632.63
Total31828100.0018.76
Comparison of age distribution of our sample with whole population of Shanghai in the end of 2008: we compared our sample with the whole population of Shanghai in end of 2008 through chi-squared test. There were differences of age distribution when all sampled participants were compared to the whole population, but no differences when only those aged 20 yrs or over were compared ( , ). This may be due to over sampling for those aged 5–19 yrs. We, therefore, used the age of the whole population in Shanghai to adjust estimated iodine status.
Table 4

Goodness of fit test of age distributions of current sample (aged 5–69 yrs) and population in Shanghai in 2008.

Age group (yrs)Population in Shanghai (%) PiSample (%) Si
TotalMaleFemaleTotalMaleFemaleTotalMaleFemale
5∼2.942.962.9213.1413.8012.4235.3939.7030.91
10∼3.403.393.4012.4612.4612.4524.1424.2724.09
15∼5.515.475.5611.2011.4910.885.886.635.09
20∼8.498.518.464.334.214.462.042.171.89
25∼9.489.569.394.594.794.372.522.382.68
30∼7.387.457.325.204.975.440.640.830.48
35∼7.317.307.324.604.634.571.000.981.03
40∼7.767.837.696.236.635.800.300.180.46
45∼11.2911.4011.178.648.768.520.620.610.63
50∼14.0614.0614.0610.6010.2610.960.851.030.68
55∼10.6310.3610.918.127.978.270.590.550.64
60∼7.237.247.226.616.157.090.050.160.00
65∼4.534.484.584.303.894.740.010.080.01
Chi-square value74.0579.5668.60

Degree of freedom: All values were greater than cut-off points in the whole, female and male samples.

Table 5

Goodness of fit test of age distributions of current sample (aged 20–69 yrs) and population in Shanghai in 2008.

Age group (yrs)Population in Shanghai (%) PiSample (%) Si
TotalMaleFemaleTotalMaleFemaleTotalMaleFemale
20∼9.639.659.616.856.766.940.830.870.74
25∼10.7510.8410.667.267.696.811.110.921.39
30∼8.388.448.308.227.988.470.000.030.00
35∼8.298.288.307.287.447.110.110.090.17
40∼8.808.888.729.8510.659.040.110.350.01
45∼12.8012.9312.6813.6814.0713.270.060.100.03
50∼15.9515.9515.9616.7716.4817.070.050.020.08
55∼12.0611.7512.3812.8412.812.880.040.090.02
60∼8.208.218.1910.469.8911.040.600.340.99
65∼5.145.085.196.816.257.380.540.270.92
Chi-square value3.453.074.36

Degree of freedom: All values were greater than cut-off points in the whole, female and male samples.

Degree of freedom: All values were greater than cut-off points in the whole, female and male samples. Degree of freedom: All values were greater than cut-off points in the whole, female and male samples. The gender ratio of the sample and whole population in Shanghai: The male to female ratio was 1.07 (male: 3803, female: 3566) in our sample, similar to the sex ratio in the corresponding age range of the whole population in Shanghai ( = 1.87,P = 0.1713).

The Iodine Concentrations in Table Salt and Drinking Water

The median iodine concentration in table salt was 29.5 mg/kg (25th–75th percentiles: 26.2–32.7 mg/kg). The proportion of households using iodized salt was 95.3%, and the proportion of households using adequately iodized salt was 91.5%. The median iodine concentration in the drinking water was 12.8 µg/L (25th–75th percentiles: 7.4–14.2 µg/L). Iodine supplementation was taken by 74 participants (0.92%), who each took 146.6±44.2 µg daily. The percentage of participants with a personal or family history of thyroid disease was 4.98% (402 cases).

The Daily Iodine Intake for a Reference Man

A reference man was defined as an 18-year-old man with low physical activity. As shown in , iodine concentration in aquatic products, eggs and products, vegetables, meat and poultry was relatively high. The estimated daily salt intake for a reference man was 6.72 g, and the daily iodine intake from diet was 225.96 µg.
Table 6

Iodine concentration and the daily iodine intake for a reference man from 12 kinds of food.

Food sortingIodine concentration (mg/kg)The daily iodine intake for a reference man (µg/d)
Cereals and products0.0052.66
Legumes and products0.19315.74
Tubers and products0.1092.08
Meat and poultry0.21322.93
Eggs and products0.33311.68
Aquatic products* 0.42024.99
Milk and products0.18418.46
Vegetables0.249123.54
Fruits0.0000.00
Sugars0.0000.00
Beverages and water0.0043.61
Liquor0.0110.28
Total225.96

Aquatic products: fish, shellfish, molluscs, kelp and seaweed.

Aquatic products: fish, shellfish, molluscs, kelp and seaweed. The daily iodine intake for a reference man when food was cooked with iodized salt was 225.96 µg, but 82.55 µg if food was cooked with noniodized salt. Based on the above data, the iodized salt contributed 63.5% of the total dietary iodine, whilst cooking caused the loss of 24.6% of the iodine from the iodized salt. Fish, shellfish and molluscs cooked with noniodized salt contributed 13.8% of the total dietary iodine, with 40.7% in kelp and seaweed. Fish, shellfish and molluscs cooked with iodized salt contributed 5.03% of the total dietary iodine, with 14.9% in kelp and seaweed.

Urine Iodine Concentration

The median UIC of general population aged 5–69 years was 146.7 µg/L (25th–75th percentiles: 92.0–215.9 µg/L). The proportions with a UIC <100 µg/L (the cutoff for iodine insufficiency) and >300 µg/L (the cutoff for iodine excess) were 28.6% and 10.1%, respectively; the proportions with a UIC in the range 100–199 µg/L (adequate iodine nutrition) and in the range 200–299 µg/L (above requirements) were 41.6% and 19.7%, respectively. The median UIC of the male general population was 150.0 µg/L (25th–75th percentiles: 95.4–221.6 µg/L) and of the female general population was 141.7 µg/L (25th–75th percentiles: 89.6–211.3 µg/L). The median UIC in the different age groups are listed in ; all were in the range 100–199 µg/L (adequate iodine nutrition), but there was a decreasing trend with age.
Table 7

The urine iodine concentration (UIC) in the general population aged 5–69 years.

Age (years)nMedian (25th,75th percentiles) (µg/L)
5∼927166.5 (103.2, 259.2)
10∼867175.5 (111.3, 250.7)
15∼721148.5 (98.2, 212.7)
20∼576146.6 (98.3, 207.8)
30∼674146.3 (88.7, 222.1)
40∼1031137.7 (90.6, 199.4)
50∼1339133.0 (84.1, 195.9)
60∼770129.1 (79.7, 200.8)
8∼10700167.8 (110.2, 260.4)
The median UIC of the pregnant women was 135.9 µg/L (25th–75th percentiles: 81.6–195.3 µg/L); 55.4% of them had a UIC of <150 µg/L (the cutoff for iodine insufficiency). The median UIC of the lactating women was 131.1 µg/L (25th–75th percentiles: 76.4–191.0 µg/L); 36.8% of them had a UIC of <100 µg/L (the cutoff for iodine insufficiency).

The Prevalence of Thyroid Disease

Abnormal serum TSH, FT3 and FT4 concentrations were found in 10.95%, 1.2% and 4.06% of the general population aged over 15 years. The percentage of female participants with an abnormal TSH concentration was higher than that of the male participants (13.32% vs. 8.64%, P<0.001), while the opposite was true for FT4 concentration (3.41% vs. 4.7%, P = 0.018). No significant difference was found between the sexes in the percentage of participants with an abnormal FT3 concentration. The percentage of participants aged over 15–39 years with an abnormal FT4 concentration was higher than that for participants aged 40–69 years. There were no significant differences across the age groups in the percentages of participants with abnormal TSH and FT3 concentrations. Positive TPOAb, TgAb and TRAb concentrations were found in 8.46%, 10.29% and 0.93% of participants aged over 15 years. Women were more likely to be positive for TPOAb and TgAb than men (TPOAb 11.12% vs. 5.85%; TgAb 15.12% vs. 5.58%; P<0.001). No significant difference was found between the sexes in the percentage with a positive TRAb level (1.07% vs. 0.78%, P = 0.2822). There were no significant differences across the age groups in the percentages with positive TPOAb, TgAb and TRAb concentrations. The prevalence of diffuse goiter, nodular goiter, single nodule and multiple nodules were 0.72%, 1.38%, 15.56% and 11.88%, respectively. The prevalence of goiters (diffuse and nodular) and thyroid nodules (single and multiple) were 2.1% and 27.44%, respectively, as shown in . Women had a higher prevalence of thyroid nodules than men (33.32% vs. 21.62%; P<0.001); no significant difference was found in the prevalence of goiters between men and women. The prevalence of thyroid nodules and goiters in participants aged 40–69 years was higher than in those aged 15–39 years (thyroid nodule 33.57% vs. 18.34%; goiter 2.92% vs. 1.01%; P<0.001).
Table 8

The prevalence of various thyroid diseases in the general population aged 15–69 years.

GenderAge (years)
Thyroid diseasesMale (%)Female (%)15–39 (%)40–69 (%)Total (%)
Goiter1.942.241.012.921 2.10
Thyroid nodules21.6233.322 18.3433.571 27.44
Hyperthyroidism0.500.940.710.720.72
Subclinical hyperthyroidism0.270.260.050.411 0.27
Hypothyroidism0.440.982 0.460.850.71
Subclinical hypothyroidism7.311.032 8.449.669.17

P<0.05 compared with participants aged 40–69 years (Cochran–Mantel–Haenszel test).

P<0.05 compared with women (Cochran–Mantel–Haenszel test).

P<0.05 compared with participants aged 40–69 years (Cochran–Mantel–Haenszel test). P<0.05 compared with women (Cochran–Mantel–Haenszel test). The prevalence of hyperthyroidism, subclinical hyperthyroidism, hypothyroidism and subclinical hypothyroidism were 0.72%, 0.27%, 0.71% and 9.17%, respectively ( ). Women had a higher prevalence of hypothyroidism and subclinical hypothyroidism than men (hypothyroidism 0.98% vs. 0.44%, P = 0.0166; goiter 11.03% vs. 7.30%, P<0.001); no significant differences were found between the sexes in the prevalence of hyperthyroidism and subclinical hyperthyroidism. The prevalence of subclinical hyperthyroidism in participants aged 40–69 years was however higher than those aged 15–39 (0.41% vs. 0.05%, P = 0.0164), but there were no significant differences across the age groups in the prevalence of hyperthyroidism, hypothyroidism or subclinical hypothyroidism. The prevalence of Graves’ disease and chronic lymphocytic thyroiditis were 0.21% and 0.31%, respectively. The comparison of UICs between euthyroid participants and those with thyroid disease are listed in . Participants with multiple nodules had lower UICs than euthyroid participants (129.28 µg/L vs. 143.28 µg/L, P<0.001); those with hyperthyroidism had higher UICs than euthyroid participants (195.42 µg/L vs. 143.28 µg/L, P = 0.001). No significant differences in UICs were found between euthyroid participants and those with a single nodule, goiter, subclinical hyperthyroidism, hypothyroidism or subclinical hypothyroidism.
Table 9

Comparison of urine iodine concentrations (UICs) between euthyroid participants and those with thyroid disease.

GroupnMedian (25th,75th percentiles) (µg/L)
Thyroid nodulesSingle775139.46 (81.49, 204.80)
Multiple610129.28 (76.82, 190.11)1
GoiterDiffuse36136.23 (82.28, 191.13)
Nodule70131.06 (87.41, 215.15)
Hyperthyroidism* 22195.42 (154.02, 280.10)1
Subclinical hyperthyroidism* 14138.94 (87.64, 201.58)
Hypothyroidism36128.82 (81.90, 179.02)
Subclinical hypothyroidism467144.46 (92.40, 216.3)
Euthyroid participants# 2567143.28 (91.75, 210.2)

As patients with hyperthyroidism or subclinical hyperthyroidism were not allowed to take iodine or foods with high iodine content by recommendation of their doctors, participants with a known history of hyperthyroidism or subclinical hyperthyroidism are excluded from this table.

A euthyroid participant was defined as one whose thyroid gland was normal both by the blood assays and by ultrasound.

P<0.05 compared with the normal population, (Wilcoxon test).

As patients with hyperthyroidism or subclinical hyperthyroidism were not allowed to take iodine or foods with high iodine content by recommendation of their doctors, participants with a known history of hyperthyroidism or subclinical hyperthyroidism are excluded from this table. A euthyroid participant was defined as one whose thyroid gland was normal both by the blood assays and by ultrasound. P<0.05 compared with the normal population, (Wilcoxon test).

Discussion

Our results estimated that the daily iodine intake of a reference man was 225.96 µg, using the total diet study approach. The recommended dietary allowance (RDA) of iodine for an adult man is 150 µg/d, according to the WHO/UNICEF/ICCIDD [14]; the upper daily tolerable intake level of iodine is 1000 µg/d according to the Chinese Nutrition Society [15]; the tolerable daily intake (TDI) of iodine is 600 µg/d according to the WHO [16]. Based on these criteria, the current dietary iodine intake in Shanghai is sufficient and safe. In this survey, the iodized salt contributed 63.5% of the total dietary iodine, while the aquatic products, which are considered rich in iodine, contributed 5.03% of the total dietary iodine, with 14.9% in laver and kelp, which was markedly lower than the contribution of iodized salt. As indicated above, salt was the main source of iodine intake; the consumption of table salt and the iodine concentration within it are the main factors that influence iodine intake. Our results indicated a median table salt concentration of 29.5 mg/kg, which was within the range of China’s current iodized salt standard. The UIC, when carried out with appropriate technology and sampling, is currently the most practical biochemical maker for iodine nutrition. Our results indicated the median UIC of general population aged 5–69 years was 146.7 µg/L, and 135.9 µg/L and 131.1 µg/L in pregnant and lactating women, respectively. Based on current diets, the proportion of households using iodized salt and adequately iodized salt was >90%. Based on the median UICs, according to the criteria from WHO/UNICEF/ICCIDD 2007 for assessing iodine nutrition [17], iodine nutrition was adequate in the general population and in lactating women, but insufficient in pregnant women. The iodine requirement during pregnancy is increased because of fetal demand. Pregnant women are particularly vulnerable to iodine deficiency because of the harmful effect of deficiency for normal growth and neurodevelopment of the fetus. Pregnant women have also been found to be deficient in iodine in several previous studies [18]–[20]. Therefore, more attention must be given to iodine intake during pregnancy. The association between the iodine intake of a population and the occurrence of thyroid disease in that population is U-shaped. There is a relatively narrow range for optimal intake; disease is more likely to develop in the populations with intakes above and below this range. Our survey found the prevalence of thyroid nodules and subclinical hypothyroidism in Shanghai were 27.44% and 9.17%, respectively, these being the two commonest types of thyroid disease, based on currently sufficient iodine intake and adequate iodine nutrition. Thyroid nodules are common in clinical practice; increasing age, female sex, iodine deficiency, and a history of head and neck radiation increase the risk of thyroid nodules [21]–[23]. In clinical practice a variety of thyroid diseases exist in nodular form; the use of high-resolution ultrasound (HRUS) increases detection of nodules. In addition to the method of screening, their prevalence depends largely on the population being evaluated: in non-goiter-epidemic areas, the prevalence of thyroid nodules was 2–6% with palpation [24]–[29], 19–34.7% with ultrasound [26], [30], [31] and 8.2–65% from autopsy data [32]–[34]. Our results using ultrasound found that the prevalence of thyroid nodules was 27.44%; higher in women than men, and that prevalence increased with age. The median UICs of participants with a single nodule and multiple nodules were 139.46 µg/L and 129.28 µg/L respectively, which were adequate. However, compared with euthyroid participants, those with multiple nodules had a lower UIC, and there was a trend toward decreased concentrations found in participants with a single nodule, which suggests the UIC of the population may be one factor that influences the occurrence of thyroid nodules. The reported prevalence of subclinical hypothyroidism differs from 1% to 20% [35]. Diagnostic criteria (the reference range for serum TSH and FT4), race, age, sex, and iodine nutrition are the main factors that influence the prevalence of subclinical hypothyroidism. Studies from Spain, Italy, Japan and North America have reported the prevalence of subclinical hypothyroidism as 3.2–13% [36]–[38], based on serum TSH >4.0 mU/L as the diagnostic criteria. In our survey, the prevalence was 9.17%, being higher in women. No difference in UIC was found between euthyroid participants and those with subclinical hypothyroidism. The sample size in our survey was designed on the basis of the UIC of the population, so there may be a bias in the prevalence of thyroid disease because of insufficient sample size. Therefore, our discussion does not focus on those thyroid diseases with a prevalence below 8%. Since the introduction of iodized salt, we have been monitoring the nutritional iodine status based on the UIC and the prevalence of goiter in children aged 8–10 years, which should not be used to represent the nutritional iodine status of the entire population. Therefore, our survey provides baseline data for further studies that consider dietary iodine intake, the UIC in the general population and certain special populations, and the prevalence of thyroid disease. In conclusion, the current dietary iodine intake in Shanghai is sufficient and safe. Iodine nutrition was generally adequate, but insufficient in pregnant women. Thyroid nodules and subclinical hypothyroidism were the two commonest types of thyroid disease.
  20 in total

1.  Critical analysis of two hundred twenty-one thyroid glands; study of thyroid glands obtained at necropsy in Colorado.

Authors:  O H HULL
Journal:  AMA Arch Pathol       Date:  1955-03

2.  Aberrant Thyroid Glands.

Authors:  J V Leech; L W Smith; H M Clute
Journal:  Am J Pathol       Date:  1928-09       Impact factor: 4.307

3.  What's happening to our iodine?

Authors:  J T Dunn
Journal:  J Clin Endocrinol Metab       Date:  1998-10       Impact factor: 5.958

Review 4.  Nodular thyroid disease. Evaluation and management.

Authors:  M T Rojeski; H Gharib
Journal:  N Engl J Med       Date:  1985-08-15       Impact factor: 91.245

5.  Very high frequency (13 MHz) ultrasonographic examination of the normal neck: detection of normal lymph nodes and thyroid nodules.

Authors:  J N Bruneton; C Balu-Maestro; P Y Marcy; P Melia; M Y Mourou
Journal:  J Ultrasound Med       Date:  1994-02       Impact factor: 2.153

6.  Demonstration of nodules in the normal thyroid by echography.

Authors:  J Woestyn; M Afschrift; K Schelstraete; A Vermeulen
Journal:  Br J Radiol       Date:  1985-12       Impact factor: 3.039

7.  Iodine status of the U.S. population, National Health and Nutrition Examination Survey, 2005–2006 and 2007–2008.

Authors:  Kathleen L Caldwell; Amir Makhmudov; Elizabeth Ely; Robert L Jones; Richard Y Wang
Journal:  Thyroid       Date:  2011-04       Impact factor: 6.568

8.  The Colorado thyroid disease prevalence study.

Authors:  G J Canaris; N R Manowitz; G Mayor; E C Ridgway
Journal:  Arch Intern Med       Date:  2000-02-28

9.  Serum TSH, T(4), and thyroid antibodies in the United States population (1988 to 1994): National Health and Nutrition Examination Survey (NHANES III).

Authors:  Joseph G Hollowell; Norman W Staehling; W Dana Flanders; W Harry Hannon; Elaine W Gunter; Carole A Spencer; Lewis E Braverman
Journal:  J Clin Endocrinol Metab       Date:  2002-02       Impact factor: 5.958

10.  Thyroid gland: US screening in a random adult population.

Authors:  A Brander; P Viikinkoski; J Nickels; L Kivisaari
Journal:  Radiology       Date:  1991-12       Impact factor: 11.105

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  21 in total

1.  Medical geology of endemic goiter in Kalutara, Sri Lanka; distribution and possible causes.

Authors:  G W A R Fernando; P L C L Liyanage; Anushka Upamali Rajapaksha; Meththika Vithanage
Journal:  Environ Geochem Health       Date:  2017-05-27       Impact factor: 4.609

2.  Iodine intake by adult residents of a farming area in Iwate Prefecture, Japan, and the accuracy of estimated iodine intake calculated using the Standard Tables of Food Composition in Japan.

Authors:  Haruo Nakatsuka; Keiko Chiba; Takao Watanabe; Hideyuki Sawatari; Takako Seki
Journal:  Environ Health Prev Med       Date:  2016-10-08       Impact factor: 3.674

3.  Maternal TSH level and TPOAb status in early pregnancy and their relationship to the risk of gestational diabetes mellitus.

Authors:  Hao Ying; Yu-Ping Tang; Yi-Rong Bao; Xiu-Juan Su; XueYa Cai; Yu-Hong Li; De-Fen Wang
Journal:  Endocrine       Date:  2016-07-16       Impact factor: 3.633

4.  High iodine intake by preschool children in Miyagi prefecture, Japan.

Authors:  Haruo Nakatsuka; Takao Watanabe; Shinichiro Shimbo; Hideyuki Sawatari; Kana Izumi; Kozue Yaginuma-Sakurai; Masayuki Ikeda
Journal:  Environ Health Prev Med       Date:  2014-06-28       Impact factor: 3.674

Review 5.  Subclinical Hypothyroidism and Type 2 Diabetes: A Systematic Review and Meta-Analysis.

Authors:  Cheng Han; Xue He; Xinghai Xia; Yongze Li; Xiaoguang Shi; Zhongyan Shan; Weiping Teng
Journal:  PLoS One       Date:  2015-08-13       Impact factor: 3.240

6.  Low Goiter Rate Associated with Small Average Thyroid Volume in Schoolchildren after the Elimination of Iodine Deficiency Disorders.

Authors:  Peihua Wang; Hong Sun; Li Shang; Qinglan Zhang; Yingxia He; Zhigao Chen; Yonglin Zhou; Jingjing Zhang; Qingqing Wang; Jinkou Zhao; Hongbing Shen
Journal:  PLoS One       Date:  2015-10-29       Impact factor: 3.240

7.  Comparison of diagnostic value of conventional ultrasonography and shear wave elastography in the prediction of thyroid lesions malignancy.

Authors:  Ewelina Szczepanek-Parulska; Kosma Woliński; Adam Stangierski; Edyta Gurgul; Maciej Biczysko; Przemysław Majewski; Magdalena Rewaj-Łosyk; Marek Ruchała
Journal:  PLoS One       Date:  2013-11-29       Impact factor: 3.240

Review 8.  Prevalence of goiter and thyroid nodules before and after implementation of the universal salt iodization program in mainland China from 1985 to 2014: a systematic review and meta-analysis.

Authors:  Wei Zhao; Cheng Han; Xiaoguang Shi; Chuhui Xiong; Jie Sun; Zhongyan Shan; Weiping Teng
Journal:  PLoS One       Date:  2014-10-14       Impact factor: 3.240

9.  Iodine deficiency and excess coexist in china and induce thyroid dysfunction and disease: a cross-sectional study.

Authors:  Yang Du; Yanhui Gao; Fangang Meng; Shoujun Liu; Zhipeng Fan; Junhua Wu; Dianjun Sun
Journal:  PLoS One       Date:  2014-11-06       Impact factor: 3.240

10.  Dependence of thyroid sonographic markers of malignancy and its influence on the diagnostic value of sonographic findings.

Authors:  Kosma Woliński; Adam Stangierski; Ewelina Szczepanek-Parulska; Edyta Gurgul; Marek Ruchała
Journal:  Biomed Res Int       Date:  2015-01-22       Impact factor: 3.411

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