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. 2014 Oct 14;9(10):e109549. doi: 10.1371/journal.pone.0109549

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

Wei Zhao 1,#, Cheng Han 1,#, Xiaoguang Shi 1,#, Chuhui Xiong 1, Jie Sun 1, Zhongyan Shan 1, Weiping Teng 1,*
Editor: Yue Wang2
PMCID: PMC4196906  PMID: 25313993

Abstract

Objectives

We comprehensively estimated the prevalence of goiter and thyroid nodules (TNs) before and after the implementation of the Universal Salt Iodization (USI) program in mainland China and provided information for creating effective health policies.

Methods

PubMed, Google Scholar, CNKI, Chinese Wanfang and Chongqing VIP databases were searched for relevant studies from Jan 1985 to Feb 2014. Data from eligible citations were extracted by two independent reviewers. All analyses were performed with Stata 11.0 and SPSS 17.0.

Results

Eligible articles (N = 31; 4 in English and 27 in Chinese) included 52 studies (15 about goiter rates made before 1996 and 14 afterwards, and 23 about TNs). Our meta-analysis suggests a pooled prevalence for goiter before and after 1996 and for TNs of 22.8% (95% CI: 15.3%, 30.3%), 12.6% (95% CI: 9.4%, 15.8%) and 22.7% (95% CI: 18.3%, 27.0%), respectively. Egger's test of three independent categories revealed no evidence of publication bias (p = 0.101, 0.148 and 0.113, respectively).

Conclusions

The prevalence of goiter was reduced by almost half after 1996 in mainland China, so the USI program was considered beneficial. However, subgroup analysis suggests that both insufficient and excess iodine may be associated with goiter. The prevalence of goiter and TNs increased significantly after 2002, suggesting a risk of excessive iodine intake. Thus, salt iodization standardizations should be set according to local conditions.

Introduction

Iodine is an essential trace element required for the normal thyroid hormone activity, specifically that of thyroxine and tri-iodothyronine. Both insufficient and excessive iodine intake can cause thyroid-hormone disorders [1][4] and the presence of goiter and thyroid nodules (TNs) represents thyroid diseases. The term goiter describes the enlargement of the thyroid gland and the goiter prevalence of this condition is considered an important and sensitive long-term indicator of iodine intake [1], [5]. The prevalence of goiter in school-age children is related to the severity of iodine deficiency. For example, a prevalence of 0.0–4.9% suggests no iodine deficiency; 5.0–19.9% indicates mild deficiency; 20.0–29.9% reveals moderate deficiency; and severe deficiency is observed at ≥30% [1]. Excessive iodine, however, can also lead to goiter [1].

TNs are discrete structurally distinct lesions within the thyroid gland, separate from the surrounding parenchyma [6]. Previous work indicates that the frequency of TNs vary considerably among the general population—4–7% are detected by palpation [7], 20–76% are found with ultrasound [8], [9], and 19–67% are documented from autopsy data [10][12]. Although most TNs are benign, cancer should be suspected with the presence of TNs [6], [13], because 5–15% may be malignant (carcinomas) [14]. Thus, goiter and TNs are common thyroid disorders with an intimate association with iodine intake.

China was once an iodine-deficient country; prior to the 1970s, 370 million people lived in iodine-deficient areas [15]. Iodine deficiencies manifested various ways, including goiter, cretinism, endemic mental retardation, and decreased fertility rates [1], all of which are generally classified as iodine deficiency disorders (IDDs) [1], [16]. To reduce IDDs, in 1979, a program of local iodine fortification was introduced into these iodine-deficient areas; and in 1996, China launched the Universal Salt Iodization (USI) program [17]. Although the USI program reduced the prevalence of goiter, the median urinary iodine concentration (UIC) in school-age children simultaneously rose sharply—reaching 330 µg/L in 1997 and 306 µg/L in 1999. For this reason, in 2002, national standards for iodized salt were revised to reduce the iodine concentration at the production level [5]. In 2012, global data identified China as a region with more than adequate iodine intake [18]. Meanwhile, since the implementation of the USI program, a growing number of Chinese clinical endocrinologists have reported an increasing incidence of thyroid diseases, especially in recent years [19][25].

China has diverse environments with varied populations and socio-economic conditions, complicating unified epidemiological investigations for prevalence of goiter and TNs, most of which were limited to specific geographic areas or populations. Thus, data may not accurately represent these two diseases especially in light of the implementation of the USI program which may skew data for the epidemiology of goiter and TNs. Thus, to formulate appropriate local public health policies and criteria, we must document the epidemiology and distribution of both diseases and use the few previous studies to provide comprehensive analyses of detailed explorations and secular trends, geographic properties, and iodine status.

Here, we describe a systematic review and meta-analysis of the prevalence of goiter and TNs before and after implementation of the USI program in mainland China from 1985 to 2014.

Materials and Methods

Search Strategy

Goiter and TNs are independent diseases and iodine intake in China changed markedly after 1996 after the implementation of USI. Therefore, we conducted three meta-analyses—one on the prevalence of goiter before 1996 and one after 1996 and one analysis of the prevalence of TNs. We searched all English-language reports of population-based studies on the prevalence of goiter and TNs using PubMed and Google Scholar, and searched all Chinese reports manually and on-line using the CNKI (Chinese National Knowledge Infrastructure), Chinese Wanfang and Chongqing VIP databases, from Jan 1985 to Feb 2014. Search key words were “goiter,” “thyroid nodule(s),” “thyroid disorder(s),” “epidemiology” and “prevalence(s)”. We also scanned relevant reference lists and reviews to find additional studies. Attempts were made to contact authors of the identified papers for necessary details not given in the original texts. The PRISMA guideline for systematic reviews and meta-analyses was followed closely [26], see Checklist S1.

Inclusion and Exclusion Criteria

The following inclusion criteria were adopted for paper selection: (1) Data were acquired through population-based studies instead of hospital-based studies; (2) study participants were recruited from a random community-based sample, rather than from volunteers or those receiving routine-health examinations, and the subjects had to be living in mainland China; (3) the studies contained sufficient information to conduct pooled analysis of the prevalence; (4) if the same study data were reported in both English and Chinese, the English publication was included.

Studies were excluded if: (1) they were reviews or case reports; (2) the participants suffered from any related diseases or took medicines known to affect thyroid structure or function; (3) the study focused on participants with one underlying condition (such as pregnant women and smokers) or a certain occupation; (4) they were duplicate publications.

Data Extraction

The literature was searched independently by two reviewers. Any discrepancies between the extracted data of the two reviewers were reconciled through discussion. The literature-search process is shown in Figure 1. For all included studies, the first author's name, publication date, study year, age, location, sample size, events data and prevalence were recorded.

Figure 1. Flow diagram of the literature-search process.

Figure 1

Iodine Status

Median UIC is recognized as the most practical biochemical marker for iodine nutrition [27]. Using the criteria from WHO/UNICEF/ICCIDD [1], the iodine status was identified based on the median UIC, where the median UIC ≤99 µg/L is insufficient, 100–199 µg/L is adequate, 200–299 µg/L is more than adequate and a median UIC ≥300 µg/L is considered to be excessive.

Statistical Analysis

The pooled prevalence and 95% confidence intervals (CIs) were used to estimate the prevalence of goiter and TNs in mainland China. All meta-analyses were calculated for heterogeneity using the Chi-square based Q test and the I2 test (25, 50 and 75% were considered low, moderate and high levels of heterogeneity, respectively) [28]. For a moderate or high level of heterogeneity we adopted a random-effects meta-analysis rather than using a fixed-effects model. Addressing heterogeneity and performing a secondary analysis required subgroup analysis. Publication bias was estimated through Egger's test. A p-value less than 0.05 indicated statistical significance. Meta-analyses were carried out in Stata Version 11.0 (Stata Corp LP, TX). Differences in prevalence among different groups were analyzed using the Chi-square test with SPSS Version 17.0 (SPSS Software, Chicago, IL).

Results

Characteristics of Papers

Figure 1 provides a schematic representation of the process for identifying, screening, and including studies in the review. The search strategy resulted in 31 articles (4 published in English and 27 in Chinese), reporting 52 studies—29 studies reporting goiter prevalence estimates (15 before 1996 and 14 after) and 23 on TNs. Table 1 provides a descriptive summary of these studies.

Table 1. Characteristics of studies on the prevalence of goiter and TNs.

First author Publication year Area Rural/Urban Inland/Coastal Study year Sample size Case Prevalence (%)
Prevalence of goiter before 1996
Wang LF [29] 1992 Kunlun Plain, Xinjiang Rural Inland 1987 1236 629 50.89
Wang LF [29] 1992 Kunlun Plain, Xinjiang Rural Inland 1987 3686 1223 33.18
Wang LF [29] 1992 Kunlun Plain, Xinjiang Rural Inland 1987 2351 415 17.65
Dou DX [30] 1992 Zhaoguan, Anhui Rural Inland 1986 398 71 17.84
Chen HM [31] 2000 Puyang, Henan Rural Inland 1990 1589 336 21.15
Zhang JL [32] 1992 Linyi, Shandong Mixed Inland 1985 48083 2324 4.83
Zhang JL [32] 1992 Linyi, Shandong Mixed Inland 1989 110609 3445 3.11
Wu WY [33] 2002 Qingyuan, Zhejiang Rural Inland 1985 154451 60434 39.13
Zhang Z [34] 2002 Fuzhou, Fujian Urban Coastal 1989 10454 584 5.59
Zhang Z [34] 2002 Wuyishan, Fujian Urban Inland 1989 1032 253 24.52
Bao Y [35] 1994 Xuzhou, Jiangsu Rural Inland 1990 81548 16720 20.50
Bao Y [35] 1994 Xuzhou, Jiangsu Urban Inland 1990 3999 732 18.30
Su MY [36] 1989 Tekesi, Xinjiang Rural Inland 1987 202 92 45.54
Su MY [36] 1989 Tekesi, Xinjiang Rural Inland 1987 220 54 24.55
Zheng HB [37] 1988 Cangzhou, Hebei Rural Inland 1985 16324 2631 16.12
Prevalence of goiter after 1996
Yu J [38] 2004 Huachuan, Heilongjiang Rural Inland 2002 112 21 18.75
Yu XH [39] 2008 Panshan, Liaoning Rural Inland 1999 815 189 23.19
Yu XH [39] 2008 Zhangwu, Liaoning Rural Inland 1999 1514 256 16.91
Yu XH [39] 2008 Huanghua, Hebei Rural Inland 1999 1056 80 7.58
Zhao SH [40] 2004 Yantai, Shandong Rural Coastal 2000 554 60 10.83
Zhao SH [40] 2004 Weihai, Shandong Rural Coastal 2000 543 54 9.94
Zhao SH [40] 2004 Weihai, Shandong Rural Coastal 2000 437 32 7.32
Zhao SH [40] 2004 Rizhao, Shandong Rural Coastal 2000 610 51 8.36
Zhao SH [40] 2004 Rizhao, Shandong Rural Coastal 2000 330 43 13.03
Zhao SH [40] 2004 Qingdao, Shandong Rural Coastal 2000 570 49 8.60
Zhao SH [40] 2004 Wulian, Shandong Rural Inland 2000 562 24 4.27
Zhang Z [34] 2002 Fuzhou, Fujian Urban Coastal 1999 3473 272 7. 83
Zhang Z [34] 2002 Wuyishan, Fujian Urban Inland 1999 2394 277 11.57
Zhu WY [41] 2009 Zhoushan, Zhejiang Mixed Coastal 2007 1389 421 30.31
Prevalence of TNs
Yu XH [39] 2008 Panshan, Liaoning Rural Inland 1999 815 103 12.64
Yu XH [39] 2008 Zhangwu, Liaoning Rural Inland 1999 1514 154 10.17
Yu XH [39] 2008 Huanghua, Hebei Rural Inland 1999 1056 114 10.80
Chen ZX [42] 2013 Hangzhou, Zhejiang Mixed Inland 2010 9412 2822 29.98
Lou XM [43] 2011 Daishan, etc, Zhejiang Mixed Coastal 2009 456 66 14.47
Lou XM [43] 2011 Haining, etc, Zhejiang Mixed Coastal 2009 321 48 14.95
Lou XM [43] 2011 Xiangshan, etc, Zhejiang Mixed Coastal 2009 280 59 21.07
Feng SY [44] 2006 Gaochun and Chuzhou, Jiangsu Rural Inland 2005 2280 407 17.85
Li SJ [45] 2012 Fenghua, Zhejiang Rural Coastal 2010 781 160 20.49
Chi HY [46] 2013 Weihai, Shandong Urban Coastal 2008 4405 1390 31.56
Chen LD [47] 2011 Lishui, Zhejiang Rural Inland 2006 638 245 38.40
Wang XD [48] 2008 Wuxi, Jiangsu Urban Inland 2005 750 169 22.53
Liu F [49] 2012 Ruian, Zhejiang Urban Inland 2010 5060 1166 23.04
Yang NZ [50] 2012 Taizhou, Zhejiang Mixed Inland 2010 793 182 22.95
Liu ZY [51] 2012 Zhoushan, Zhejiang Mixed Coastal 2010 3206 926 28.88
Zhu WY [52] 2010 Zhoushan, Zhejiang Mixed Coastal 2006 3284 831 25.30
Zou SR [27] 2012 Shanghai Mixed Coastal 2009 7369 2011 27.29
Guo HW [53] 2014 Nanjing, Jiangsu Urban Inland 2011 9533 4439 46.56
Zhang JL [54] 2013 Yan'an, Shanxi Mixed Inland 2012 2970 822 27.68
Liu Y [55] 2012 Chengdu, Sichuan Urban Inland 2009 1500 255 17.00
Yang YX [56] 2011 Guiyang, Guizhou Urban Inland 2009 1512 153 10.12
Shen Y [57] 2013 Shanghai Mixed Coastal 2010 695 159 22.88
Zhang SG [58] 2010 Xuzhou, Jiangsu Rural Inland 2008 468 117 25.00

All studies were based on general population samples. Before 1996, 436,182 people met the inclusion criteria for goiter; the criteria for diagnosis were in line with those of WHO, which was based on palpations. Another 14,359 people met the criteria for goiter after 1996. Goiter diagnosis after 1996 was based on palpation or ultrasound. After a diagnose with ultrasound, 59,098 people met the inclusion criteria for TNs.

Pooled Prevalence of Goiter and TNs

As shown in Figs 2 and 3, the pooled prevalence of goiter before 1996 was 22.8% (95% CI: 15.3%, 30.3%), with the actual numbers ranging from 3.11 to 50.89%; after 1996, the pooled prevalence, 12.6% (95% CI: 9.4%, 15.8%) in the range of 4.27–30.31%, was significantly lower compared with the prevalence prior to 1996 (χ2 = 532.56, p<0.001). Figure 4 shows a pooled prevalence of 22.7% (95%CI: 18.3%, 27.0%) for TNs with individual studies ranging from 10.12–46.56%. Individual disease conditions of the provinces and municipalities are shown in the maps in Figs 57.

Figure 2. Forest plot displaying the pooled goiter prevalence in mainland China before 1996.

Figure 2

Figure 3. Forest plot displaying the pooled goiter prevalence in mainland China after 1996.

Figure 3

Figure 4. Forest plot of the pooled prevalence of TNs in mainland China.

Figure 4

Figure 5. Regional distribution of pooled goiter prevalence in mainland China before 1996.

Figure 5

Figure 7. Regional distribution of pooled prevalence of TNs in mainland China.

Figure 7

Figure 6. Regional distribution of pooled goiter prevalence in mainland China after 1996.

Figure 6

Subgroup Analysis

Goiter prevalences before and after 1996 and TNs were analyzed in subgroups, divided by location (North, South, East, West and Central China) and the type of area (rural, urban and mixed), as shown in Tables 24.

Table 2. Prevalence of goiter before 1996 in mainland China by different stratification factors.

Subgroups Prevalence % (95%CI) No of studies Heterogeneity Case/Total
I2% p Value
Area
Rural 28.6 (20.7–36.5) 10 99.9 <0.001 82605/262005
Mixed 4.0 (2.3–5.7) 2 99.6 <0.001 5769/158692
Urban 16.1 (5.0–27.2) 3 99.6 <0.001 1569/15485
Coastal/Inland
Coastal 5.6 (5.1–6.0) 1 - - 584/10454
Inland 24.0 (16.0–32.1) 14 100.0 <0.001 89359/425728
Altitude
<200 13.4 (8.3–18.5) 8 100.0 <0.001 26843/273004
200–500 31.9 (17.6–46.2) 2 99.2 <0.001 60687/155483
500–1000 - 0 - - -
>1000 34.3 (21.9–46.6) 5 99.2 <0.001 2413/7695
Iodine Status
Insufficient 25.5 (12.0–39.1) 10 100.0 <0.001 67878/288418
Adequate 14.5 (−4.8–33.8) 2 97.8 <0.001 2378/48303
More than Adequate - 0 - - -
Excess 19.2 (15.8–22.6) 3 98.9 <0.001 19687/99461
Method
Palpation 22.8 (15.3–30.3) 15 100.0 <0.001 89943/436182
Ultrasound - 0 - - -
Sample Size
<5000 28.0 (21.3–34.8) 9 98.9 <0.001 3805/14713
>5000 14.9 (3.1–26.7) 6 100.0 <0.001 86138/421469
Location
North China 16.1 (15.6–16.7) 1 - - 2631/16324
South China 15.0 (−3.5–33.6) 2 99.5 <0.001 837/11486
East China 17.3 (4.8–29.8) 6 100.0 <0.001 83726/399088
West China 34.3 (21.9–46.6) 5 99.2 <0.001 2413/7695
Central China 21.1 (19.1–23.2) 1 - - 336/1589
Total 22.8 (15.3–30.3) 15 100.0 <0.001 89943/436182

Table 4. Prevalence of TNs in mainland China by different stratification factors.

Subgroups Prevalence % (95%CI) No of studies Heterogeneity Case/Total
I2% p Value
Area
Rural 19.1 (13.7–24.6) 7 97.7 <0.001 1300/7552
Mixed 24.0 (21.6–26.4) 10 94.5 <0.001 7926/28786
Urban 25.1 (13.2–37.1) 6 99.8 <0.001 7572/22760
Coastal/Inland
Coastal 23.3 (20.2–26.4) 9 95.5 <0.001 5650/20797
Inland 22.5 (15.7–29.2) 14 99.6 <0.001 11148/38301
Altitude
<200 23.4 (18.7–28.0) 20 99.3 <0.001 15568/53116
200–500 17.0 (15.1–18.9) 1 - - 255/1500
500–1000 - 0 - - -
>1000 18.9 (1.7–36.1) 2 99.6 - 975/4482
Sample Size
<5000 20.7 (17.0–24.5) 19 98.4 <0.001 6360/27724
>5000 31.7 (21.8–41.7) 4 99.7 <0.001 10438/31374
Location
North China 11.0 (9.7–12.3) 3 35.9 0.210 371/3385
South China - 0 - - -
East China 25.5 (21.2–29.8) 17 99.1 <0.001 15197/49731
West China 18.3 (7.6–28.9) 3 99.2 <0.001 1230/5982
Central China - 0 - - -
Gender
Male 16.6 (12.1–21.2) 23 99.0 <0.001 5420/24469
Rural 11.1 (5.9–16.3) 7 97.3 <0.001 302/2708
Mixed 19.2 (16.6–21.7) 10 90.4 <0.001 2854/12865
Urban 19.2 (9.1–29.2) 6 99.3 <0.001 2264/8896
Female 26.9 (22.2–31.6) 23 99.0 <0.001 11378/34629
Rural 23.3 (17.5–29.0) 7 96.1 <0.001 998/4844
Mixed 28.5 (25.9–31.1) 10 90.1 <0.001 5072/15921
Urban 29.4 (16.6–42.2) 6 99.6 <0.001 5308/13864
Study Year
1999–2001 11.0 (9.7–12.3) 3 35.9 0.210 371/3385
2002–2014 24.4 (20.2–28.7) 20 99.2 <0.001 16427/55713
Total 22.7 (18.3–27.0) 23 99.3 <0.001 16798/59098

As shown in Table 2, before 1996, rural area (χ2 = 48054.05, p<0.001), inland area (χ2 = 1479.00, p<0.001), high altitude (χ2 = 52150.24, p<0.001), small study sample size (χ2 = 255.52, p<0.001), location in West China (χ2 = 2023.41, p<0.001), and both low and high levels of iodine intake (χ2 = 8809.32, p<0.001) might indicate a high prevalence of goiter.

As shown in Table 3, after 1996, subgroups including rural area (χ2 = 448.82, p<0.001), diagnosis using ultrasound (χ2 = 101.98, p<0.001) and study year 2002–2014 (χ2 = 421.05, p<0.001) had a greater prevalence of goiter. Of note, iodine nutrition may also be associated with this greater prevalence. Among the four iodine intake categories, the prevalence of goiter was lowest in the subgroup with adequate iodine, 4.3% (95% CI: 2.6%, 5.9%), and prevalence data for the insufficient subgroup was 23.2% (95% CI: 20.3%, 26.1%) and for excess iodine subgroup was 14.5% (95% CI: 8.8%, 20.1%), both of which were higher (χ2 = 190.17, p<0.001).

Table 3. Prevalence of goiter after 1996 in mainland China by different stratification factors.

Subgroups Prevalence % (95%CI) No of studies Heterogeneity Case/Total
I2% p Value
Area
Rural 11.5 (8.3–14.6) 11 95.0 <0.001 859/7103
Mixed 30.3 (27.9–32.7) 1 - - 421/1389
Urban 9.7 (6.0–13.3) 2 95.5 <0.001 549/5867
Coastal/Inland
Coastal 12.0 (7.1–16.9) 8 97.7 <0.001 982/7906
Inland 13.4 (8.5–18.4) 6 97.4 <0.001 847/6453
Altitude
<200 13.4 (9.6–17.3) 12 97.5 <0.001 1528/11403
200–500 7.9 (0.8–15.1) 2 97.8 <0.001 301/2956
500–1000 - 0 - - -
>1000 - 0 - - -
Iodine Status
Insufficient 23.2 (20.3–26.1) 1 - - 189/815
Adequate 4.3 (2.6–5.9) 1 - - 24/562
More than Adequate 9.8 (6.3–13.3) 5 94.7 <0.001 660/6604
Excess 14.5 (8.8–20.1) 7 97.7 <0.001 956/6378
Method
Palpation 9.7 (6.0–13.3) 2 95.5 <0.001 549/5867
Ultrasound 13.2 (8.8–17.5) 12 97.6 <0.001 1280/8492
Sample Size
<5000 12.6 (9.4–15.8) 14 97.4 <0.001 1829/14359
>5000 - 0 - - -
Location
North China 16.5 (8.9–24.0) 4 97.3 <0.001 546/3497
South China 9.7 (6.0–13.3) 2 95.5 <0.001 549/5867
East China 11.6 (5.9–17.3) 8 97.9 <0.001 734/4995
West China - 0 - - -
Central China - 0 - - -
Study Year
1996–2001 10.7 (8.3–13.1) 12 95.0 <0.001 1387/12858
2002–2014 25.1 (13.8–36.3) 2 88.7 0.003 442/1501
Total 12.6 (9.4–15.8) 14 97.4 <0.001 1829/14359

For TNs, prevalence among subgroups of location and study year was very different (Table 4). Prevalence rates for North, East and West China were 11.0% (95% CI: 9.7%, 12.3%), 25.5% (95% CI: 21.2%, 29.8%) and 18.3% (95% CI: 7.6%, 28.9%) (χ2 = 800.56, p<0.001), respectively. In terms of the study year, 11.0% (95% CI: 9.7%, 12.3%) of people investigated between 1999 and 2001 were diagnosed with TNs and this increased to 24.4% (95% CI: 20.2%, 28.7%) after 2002 (χ2 = 538.27, p<0.001).

Analysis of Heterogeneity and Publication Bias

We noted a significant overall heterogeneity within the studies (p<0.001, I2 = 97.4–100.0%), which decreased through subgroup analyses. Egger's test for the three independent research categories revealed no evidence of publication bias (p = 0.101, 0.148 and 0.113, respectively).

Discussion

We examined 52 epidemiological research studies covering 14 provinces, municipalities and autonomous regions in China. We systematically analyzed the prevalence of goiter and TNs prior to and after 1996, when China implemented the USI program. To our knowledge this is one of the first studies of this kind.

Research indicates that the prevalence of goiter in children 8–10 years-of-age is an indicator of local iodine consumption [1]. Our analysis, however, focused on the general population, to provide epidemiological information concerning the disease itself. Iodine nutrition is certainly an important factor for goiter, and the association between iodine intake and goiter prevalence has been investigated extensively.

Indian researchers reported that the prevalence of goiter was 65.9% in an iodine-deficient area [59], which decreased to 27.7% two decades after the USI program [60]. In Denmark, the goiter prevalence was 13.4% in an area with mild iodine deficiency and 19.7% in an area with moderate iodine deficiency, indicating that even a modest increase in iodine intake might significantly reduce IDDs [61]. In China, the USI program was launched in 1996 to prevent IDDs, establishing an important time boundary for our study. We observed a trend similar to the study in India. The overall goiter prevalence was 22.8% prior to 1996 and this was halved (declined to 12.6%). Thus, the USI program might be beneficial in China.

Also, iodine excess may increase thyroid volume [1]. In our subgroup analyses, both before and after 1996, the prevalence of goiter significantly changed with iodine status, with data suggesting hormesis—emphasizing that overdoses of iodine, as well as deficiencies may be associated with high prevalence of goiter. Meanwhile, previous studies suggest a goitrogenic effect of excess iodine in school-age children and adults [62][67]. In areas with high iodine content in the drinking water, school-age children had elevated median UIC and endemic goiter, suggesting that, in addition to adjusting the iodine content of salt, improving water quality is also necessary [62], [63]. In a prospective study, 10 normal men accepted daily oral intake of excess iodine for 1 month. At the end of this treatment, their mean thyroid volume increased, which eventually returned to baseline within 4 weeks after iodine withdrawal [64]. LeMar reported that excess iodine from tetraglycine hydroperiodide tablets caused a reversible thyroid stimulating hormone (TSH)-dependent thyroid enlargement [65]. For Peace Corps volunteers, after the removal of excess iodine from water, the mean serum iodine declined sharply, and the goiter rate fell from 44 to 30% [66]. In animal models, excessive iodine intake has been shown to lead to thyroid enlargement [67]. Thus, iodine excess should be scrutinized. In agreement with this concern, we observed that after 1996, the pooled goiter prevalence increased from 10.7% before 2002 to 25.1% afterwards, indicating an impending problem.

We also observed that altitude correlated with goiter: the plateau environment was associated with higher goiter frequency than residence in the plains and hills, a finding similar to trends in previous surveys that may be explained by deficiencies in natural iodine at high altitudes and limited educational and economic support for the people who reside there [68][70].

There is a longstanding controversy regarding the relationship between the prevalence of TNs and iodine nutrition because of the varied epidemiological situation across the globe. Among a Swedish population with adequate iodine, the rate of TNs was only 2.6% [71]. German data from a previously iodine deficient area revealed a 20.2% prevalence of TNs, with a smaller rate for men [72]. Mexico, which formerly was mildly iodine deficient, now consumes more than normal iodine intake and here the locally-identified TNs frequency was 19.6% [73]. Overall, the prevalence of TNs in mainland China was similar to that of other countries and regions of historic iodine deficiency and present states of iodine sufficiency. In addition, our data indicate that the prevalence of TNs after 2002 was higher than the rate prior to 2002—11.0% of those investigated from 1999–2001 were diagnosed with TNs, and this increased to 24.4% between 2002 and 2014.

Unlike goiter, which has a strong etiological relationship with iodine nutrition, the prevalence of TNs also depends on sex, age and head-and-neck radiation exposure history [74], [75]. According to the present information, TNs are more common in cities than in the country, which may be explained by lifestyle choices [76], [77]. Furthermore, females were at greater risk for TNs and this difference was not changed when females were further divided into rural, mixed and urban groups.

In conclusion, we report that the USI program in China successfully reduced the prevalence of goiter after 1996. However, the program might cause excesses iodine intake that may be associated with a high prevalence of goiter. The prevalence of TNs also increased over time. Also, 5% of TNs may be malignant [14], so an increased prevalence of TNs might predict more thyroid carcinoma patients. In view of this information, in 2012, China adjusted the iodized salt concentration to 20–30 mg/kg (previously 35 mg/kg) and provincial governments and health administrative departments were allowed to formulate local standards within ±30% of recommended concentrations based on data for their area [78], [79].

Our study has several limitations. First, variations in the quality of the selected papers exist. Uncertain data will confound investigations into potential influences on heterogeneity. Secondly, primary TNs articles did not use a completely unified diagnostic criterion, but they did diagnose with ultrasound. Third, data from qualified articles failed to cover most of mainland China provinces. Still, we included all available information about goiter and TNs from the past three decades and this report is the first to document the epidemiological status of both diseases before and after the USI program in mainland China. In addition, our work underscores the need for additional population-based studies in areas excluded from this analysis.

Our data show that the implementation of USI program is beneficial but may pose iodine risks; therefore, salt iodization standards should be set according to local conditions. Also, some epidemiology studies remain to be undertaken, and these are essential for comprehensive original data on the epidemiology and distribution of thyroid diseases. Our future work will include a national baseline study on thyroid diseases which will be implemented from 2014 to 2016 and these data will provide broad and accurate information for other researchers.

Supporting Information

Checklist S1

PRISMA 2009 Checklist.

(DOC)

Acknowledgments

We are grateful to Jianming Zhang (Department of Clinical Epidemiology and Evidence-based Medicine, the First Affiliated Hospital of China Medical University), Yongze Li (Key Laboratory of AIDS Immunology of Ministry of Health, Department of Laboratory Medicine, the First Affiliated Hospital of China Medical University) and Guangcong Liu (School of Public Health, China Medical University) for methodological support. We also thank the authors of the included studies.

Data Availability

The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper.

Funding Statement

This work was supported by the National Natural Science Foundation (81370893, URL: http://npd.nsfc.gov.cn/fundingProjectSearchAction.action). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Checklist S1

PRISMA 2009 Checklist.

(DOC)

Data Availability Statement

The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper.


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