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BMC Pregnancy and Childbirth

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The prevalence and risk factors of preterm small-for-gestational-age infants: a population-based retrospective cohort study in rural Chinese population

  • Shi Chen1,
  • Rong Zhu2, 9,
  • Huijuan Zhu1,
  • Hongbo Yang1,
  • Fengying Gong1,
  • Linjie Wang1,
  • Yu Jiang3,
  • Bill Q. Lian4,
  • Chengsheng Yan5,
  • Jianqiang Li6,
  • Qing Wang7,
  • Shi-kun Zhang8 and
  • Hui Pan1Email author
Contributed equally
BMC Pregnancy and ChildbirthBMC series – open, inclusive and trusted201717:237

https://doi.org/10.1186/s12884-017-1412-7

Received: 10 October 2016

Accepted: 5 July 2017

Published: 20 July 2017

Abstract

Background

Preterm birth and small for gestational age (SGA) are strong indicators of neonatal adverse outcomes. With the growing importance of preterm SGA infants, we aim to evaluate the prevalence and risk factors for preterm SGA in China.

Method

We analyzed the data of parents and infants from a population-based cohort research of the free National Pre-pregnancy Checkups Project (NPCP) in rural China. Only singleton live births that occurred between 24 weeks +0 days and 36 weeks +6 days of pregnancy were included in this study. SGA was defined as birth weight less than the 10th percentile of the reference birth-weight-for-gestational-age population. A multiple logistic regression model was built using the statistically significant variables from the 371 variables in the questionnaire.

Results

A total of 11,474 singleton, preterm, live-birth infants were included. Of the total infants, 317 (2.77%) were preterm SGA infants. A higher risk of preterm SGA infants was observed among mothers who were on oral contraceptives (OR: 8.162, 95% CI: 1.622–41.072), mothers who had syphilis (OR: 12.800, 95% CI: 1.250–131.041), and mothers with a high eosinophil percentage (OR: 13.292, 95% CI: 1.282–135.796). Maternal intake of folic acid at least 3 months before pregnancy (OR: 0.284, 95% CI:0.124–0.654) and paternal intake of egg and meat (OR: 0.097,95% CI:0.030–0.315) were protective factors. Compared with North China, the incidence of preterm SGA infants was higher in South China.

Conclusion

Preterm SGA infants were associated with both maternal and paternal factors.

Keywords

Preterm deliverySmall for gestational ageFolic acid supplementationOral contraceptive

Background

Gestational age and birth weight are two of the most important factors for evaluating the prognosis of infants. Small for gestational age (SGA) infants may show a decrease in their growth due to intrauterine growth restriction. Limitations in fetal growth affect the development of the cardiovascular system or other organs, which can have life-long effects on an individual [1]. Preterm birth is a significant causative factor of infant and child morbidity and mortality. Preterm birth complications are estimated to be the second most common cause of death in children under 5 years old [2]. In addition to its contribution to mortality, preterm birth has lifelong effects, and increased risk of neurodevelopmental disorders and chronic diseases in adulthood [3]. There is a growing consensus on the differentiation of preterm SGA from term SGA infants from both the clinical and research perspectives [4]. In particular, preterm SGA infants have a 10–40 times greater risk of dying in the first month of life than term appropriate for gestational age (AGA) infants [5]. Further, preterm SGA infants have a relatively low body fat percentage and would experience a postnatal catchup growth. Many epidemiological studies have demonstrated that the catch-up growth is associated with cardiovascular diseases, obesity, hypertension, type-2 diabetes, and metabolic syndrome in later life [6]. Few studies have evaluated the risk factors of preterm SGA infants [7, 8]. The purpose of present study is to identify the risk factors of preterm small-for-gestational age infants. The knowledge gained from this study will be crucial in prevention and treatment of preterm SGA.

Methods

Subjects

A population-based retrospective cohort study was performed on 248,501 couples and their children who were part of the free National Pre-pregnancy Checkups Project (NPCP) in 220 pilot counties in 30 provinces in China between January 2010 and December 2012. The project was implemented by the Chinese National Health and Family Planning Commission and Ministry of Finance with aim of preventing birth defects in China, it is the largest pregnancy retrospective cohort study of the preconception stage in China. It covered all volunteer couples who planned to conceive within the next 6 months. The clinical data were collected during the preconception medical examination. Information on socioeconomic background, reproductive history and history of illness, lifestyle, and dietary habits was carefully collected through face-to-face interviews by qualified nurses. Physical examinations and biochemical studies were also carried out by medical staff at the same time [9].

SGA was defined by a 1995 WHO expert committee as infants with body weight below the 10th percentile of a birth-weight-for-gestational-age, using the gender-specific reference population with the local growth standards of Li Zhu et al. [10] Zhu’s neonatal growth standards were derived from birth weight data obtained from a nationwide neonatology network of 161,420 live births in China from 2011 to 2014. Preterm SGA infants in our study were defined as infants born small for gestational age between 24 weeks + 0 days and 36 weeks +6 days of gestation.

The inclusion and exclusion criteria are shown in Fig. 1. A couple and their children was considered as a single subject. We included a total of 11,474 subjects.
Fig. 1

Participant flow chart

Design and setting

Data collection

A structured questionnaire was constructed by well-trained investigators; the questionnaire included 371 variables from the National Free Preconception Health Examination Project [9, 11]. As the adverse effect of preterm large-for-gestational age (LGA) infants is controversial [12, 13], we compared preterm SGA infants with preterm non-SGA infants including the preterm AGA and LGA infants. We divided China into North and South region by the Qinling Mountain-Huaihe River Line and we compared the prevalence of preterm SGA infants in both regions. We also assessed the risk factors of preterm SGA infants.

Selection of risk factors

The questionnaire involves 19 aspects including baseline characters of couples, physical examination, laboratory examination family history of couples etc. We chose the variables with a high data integrity over 80%. Among these variables, 38 variables were statistically significant exposures in univariate analysis including education level of the parents, maternal preconception intake of narcotics and paternal second-hand smoking, maternal intake of eggs and meat, the beginning time of maternal intake of folic acid, paternal intake of eggs and meat and paternal intake of vegetables, tense maternal and paternal relationship with relatives and co-workers, paternal exposure to heavy metals, organic solutes and vibrations, maternal syphilis and Candida infection, maternal drug use, pet exposure and influenza virus infection during pregnancy, maternal medical history of diabetes mellitus (DM), maternal medical history of hepatitis B, maternal oral contraceptive use, maternal family history of neonatal death, paternal hepatitis B vaccination and paternal family history of DM, maternal height (meter), maternal weight (kilogram), maternal BMI (kg/m2), maternal red blood cell count (109/L), maternal eosinophil percentage, maternal blood glucose level (mmol/L) and paternal height. It also included the presence of maternal HBe antibodies, maternal rubella virus IgG antibodies, maternal CMV IgG antibodies, maternal toxoplasma IgG antibodies, paternal HBs antibodies. The folic acid supplementation, the preconception habits and socioeconomic status of the parents were based on self-report. The location was classified as North or South region of China by the Qinling Mountain-Huaihe River Line.

Statistical analysis

All risk factor variables were first examined by univariate analysis to assess the importance of each of them on preterm SGA. We used chi-square test for analysis of categorical variables, and the Mann-Whitney U test for analysis of continuous variables with a skewed distribution as all of continuous variables were of skewed distribution in this cohorts examined by Kolmogorov-Smirnov test. The continuous skewed variables were expressed in the form of mid-values (25th percentile, 75th percentile). When a variable was found to be significant at the 0.1 level, it was entered into the multivariate model. Stepwise logistic regression was used to examine the correlation between risk factors and preterm SGA. In logistic regression, p < 0.05 was considered statistical significance. The results were presented using the OR and 95% CI values. The analyses were performed with SPSS (version 19.0; SPSS Inc., Chicago, IL, USA).

Results

Baseline characteristics of SGA and non-SGA

A total of 248,501 infants were recruited in our database, of which 12,164 were preterm infants (5.63%). The preterm neonatal mortality was 1.69% in our study. The mean weight of 11,474 preterm singleton live-birth infants was 3104.87 ± 636.03 g, 6307 infants of them were male (54.97%). Among them, 317 (2.77%) were preterm singleton live-birth SGA infants. The mean weight of them was 1778.26 ± 438.58 g, 189 of them were male (59.62%). 11,157 of them were preterm singleton live-birth non-SGA infants, the mean weight was 3141.73 ± 595.51 g, 6118 of them were male (54.84%).

Univariate analysis

The following tables show the risk factors in preterm SGA deliveries. Table 1 indicates that maternal intake of narcotics lead to a higher risk of preterm SGA. Nutrition status is also described in Table 1. Parents who did not consume enough vegetables, eggs or meat were more likely to deliver preterm SGA infants, which reflects the paternal level of essential vitamin and proteins. Starting time of maternal folic acid supplement is described in Table 1. Mothers who used folic acid at least 3 months before last menstrual period (LMP) had a lower risk of giving birth to preterm SGA infants. We also noticed that a total of 3701 women (32.6%) in our study did not take folic acid before or after their pregnancy, even though it is routinely recommended by their health care providers.
Table 1

The univariate analysis of risk factors of preterm SGA infants (categorical variables)

Risk factors

Number of SGA

Number of Non-SGA

P value

Maternal Education years

 0

2

27

0.000

 0–6

19

444

 

 6–9

181

7743

 

 9–12

71

1713

 

 12–16

38

966

 

  > 16

1

6

 

Paternal Education years

 0

1

13

0.008

 0–6

13

337

 

 6–9

189

7464

 

 9–12

70

1922

 

 12–16

33

1066

 

  > 16

0

10

 

Maternal intake of narcotics

 Yes

4

29

0.012

 No

208

10,782

 

Paternal second-hand smoking

 Regular

13

358

0.091

 Occasional

90

3732

 

 No

191

6089

 

Maternal intake of eggs and meat

 No

9

155

0.045

 Yes

292

10,675

 

Maternal intake of vegetable

 No

10

94

0.000

 Yes

290

10,737

 

Maternal intake of folic acid from at least 3 months before LMP

 Yes

73

3448

0.003

 No

241

7584

 

Paternal intake of eggs or meat

 No

8

125

0.003

 Yes

286

10,073

 

Paternal intake of vegetables

 No

5

81

0.094

 Yes

289

10,104

 

Maternal tense relationship with relatives and co-workers

 No

272

10,098

0.000

 Low

29

597

 

 Moderate

0

143

 

 High

2

3

 

Paternal tense relationship with relatives and co-workers

 No

261

9403

0.075

 Low

2

627

 

 Moderate

4

162

 

 High

0

5

 

Paternal exposure to heavy metals

 Yes

4

28

0.011

 No

313

11,489

 

Paternal exposure to organic solutes

 Yes

5

528

0.006

 No

312

10,989

 

Paternal exposure to vibrations

 Yes

4

54

0.076

 No

313

11,463

 

Maternal syphilis infection

 Yes

4

29

 

 No

293

10,656

 

Maternal Candida infection

   

 Yes

2

80

0.003

 No

269

10,138

 

Maternal HBe antibodies

 Positive

31

770

0.024

 Negative

255

9855

 

Maternal rubella virus IgG antibodies

 Positive

136

4114

0.022

 Negative

153

6355

 

Maternal CMV IgG antibodies

 Positive

79

2312

0.068

 Negative

204

8022

 

Maternal toxoplasma IgG antibodies

   

 Positive

9

148

0.052

 Negative

273

10,190

 

Paternal HBs antibodies

 Positive

83

2555

0.077

 Negative

198

7413

 

Maternal medication us after LMP

 Yes

20

274

0.000

 No

294

10,758

 

Maternal pet exposure after LMP

 Yes

11

171

0.018

 No

305

10,942

 

Maternal influenza virus infection after LMP

 Yes

9

92

0.002

 No

305

11,021

 

Maternal medical history of hepatitis B

 Yes

4

51

0.076

 No

299

10,811

 

Maternal oral contraceptive use

 Yes

4

56

 

 No

300

10,732

 

Maternal family history of neonatal death

 Yes

2

4

0.010

 No

300

10,846

 

Paternal hepatitis B vaccination

 Yes

66

2980.017

 

 No

230

7273

 

Paternal family history of DM

 Yes

4

47

0.055

 No

292

10,716

 

Location

 North

60

3671

0.000

 South

257

7486

 

Paternal exposure to heavy metals, organic solutes and vibrations were associated with a higher incidence of preterm SGA. Parental infections were also identified as important risk factors. Syphilis, Candida infection, rubella virus infection, CMV infection, toxoplasma infection were associated with higher rate of preterm SGA. Hepatitis B is common in China. Positive maternal HBe antibodies is associated with higher prevalence of preterm SGA. Moreover, maternal family history of hepatitis B was associated with higher rate in preterm SGA infants while paternal hepatitis B vaccination was associated with lower rate in preterm SGA infants.

Mothers who were taking medications, came into contact with pets or had influenza virus infection were more likely to have preterm SGA infants. With regard to the medical history of the parents, maternal family history of neonatal death were associated with a higher rate of preterm SGA.

The Qinling Mountain-Huaihe River Line is an important demarcation line of climate, hydrology, and topography in China [14]. The North China has a lower rate of preterm SGA rate (1.61% vs. 3.32%). The mean birth weight of preterm live-birth was 3188.58 ± 650.67 g in North China and 3061.78 ± 636.03 g in South China.

As expected, the parental weight, height and BMI were associated with preterm SGA as shown in Table 2. The median values were used for risk factors that showed skewed distribution. The maternal weight, height, BMI and paternal height were significantly lower and the maternal eosinophil ratio was higher in preterm SGA group.
Table 2

The univariate analysis of risk factors of preterm SGA infants (continuous variables)

Risk factors

SGA Median(quartile)

Non-SGA Median(quartile)

P value

Maternal age

24.00 (22.00–27.00)

24.00 (22.00–27.50)

0.571

Maternal height (meter)

159.00 (156.00–161.00)

160.00 (156.00–162.00)

0.081

Maternal weight (kilogram)

52.00 (48.00–56.00)

52.00 (49.00–57.00)

0.027

Maternal BMI before LMP (kg/m2)

20.32 (18.89–22.31)

20.70 (19.38–22.38)

0.063

Maternal red blood cell count (109/L)

4.22 (3.90–4.51)

4.13 (3.80–4.48)

0.005

Maternal eosinophil percentage

2.00 (0.73–3.48)

1.10 (0.10–2.50)

0.017

Maternal blood glucose level (mmol/L)

4.90 (4.39–5.50)

4.82 (4.30–5.30)

0.018

Paternal height (meter)

170.00 (168.00–173.25)

171.00 (169.00–175.00)

0.031

Multivariable analysis

Table 3 shows the results of multiple logistic regression of preterm SGA. Higher risks of preterm SGA infants were observed among women who took oral contraceptives (OR: 8.162, 95% CI: 1.622–41.072), women with higher eosinophil percentage (OR: 1.067, 95% CI: 1.010–1.127) and women with syphilis infection (OR: 13.292, 95% CI: 1.282–135.796). Frequent intake of meat and egg of father (OR: 0.097, 95% CI: 0.030–0.315) was found to be a protective factor for infants. Comparing with women who did not use folic acid or started using folic acid after 3 months before LMP, intake of folic acid from 3 months before LMP (OR: 0.284, 95% CI:0.124–0.654) was also a protective factor for preterm SGA infants. It is well accepted that maternal BMI before LMP is related to the rate of preterm and SGA. So we put the maternal BMI before LMP (OR: 0.945, 95% CI: 0.828–1.709) in the regression model although it was not statistically significant. Moreover, the confidence intervals are wide for some of the factors in the logistic model may due to the small sample size of preterm SGA.
Table 3

Multiple logistic regression of preterm SGA infants

Risk factors

B

P value

OR

95% C.I. for OR

 

Lower

Upper

Maternal intake of folic acid from at least 3 months before LMP

−1.257

0.003

0.284

0.124

0.654

Maternal oral Contraceptive use

2.100

0.011

8.162

1.622

41.072

Maternal eosinophil percentage

0.064

0.021

1.067

1.010

1.127

Maternal syphilis infection

2.580

0.030

13.191

1.281

135.796

Paternal intake of egg and meat

−2.336

0.000

0.097

0.030

0.315

Maternal BMI before LMP

−0.056

0.403

0.945

0.828

1.709

Constant

1.357

0.401

3.886

  

Discussion

Birth weight and gestational age are considered as strong predictors of short-term and long-term prognosis of infants. Given the growing attention paid to preterm SGA infants, our study attempted to determine the incidence of the preterm SGA infants and the risk factors associated with delivering preterm SGA infants.

A major strength of this study is its large sample size and the large number of variables analyzed. To the best of our knowledge, this is the most extensive multi-center study in China to evaluate the risk factors associated with preterm SGA infants. The large number of variables allows us to analyze more risk factors than previous studies on preterm SGA infants. The effect of paternal factors on preterm SGA infants, for example, the maternal eosinophil percentage has rarely been reported before.

This database has several unique features. Compared with earlier study, the mortality rate of preterm infants in our study (5.63%) was lower than the average rate reported for eastern Asia (7.2% (5.4–9.0)) [15]. With economic growth and improvements in perinatal care, the neonatal mortality rate has decreased by 59.3% from 2000 to 2010 in China [16], which could be due to lower rate of preterm SGA. With regard to the low prevalence of preterm SGA infants in the North China, it could be explained by the significant difference in body weight and height between the Northern and Southern Han Chinese. It also fit the Bergmann’s rule as body mass increases with colder climate [17, 18]. The greater weight and height of parents in the North could explain the lower incidence of preterm SGA in North China.

In our study, we discovered a gender-based difference in the incidence of preterm SGA infants in China; 59.62% of preterm SGA infants were male. It has been reported that boys are more likely to be born before term in a different of populations [19]. A possible explanation is that in preterm infants, the growth-promoting effect of androgen is not obvious. Moreover, the male preterm infants were more likely to meet the preterm SGA criteria, as the weight standard for males is higher than that for females.

Folic acid

Insufficient periconceptional folic acid intake is associated with a number of birth defects that may also be related to genetic and environmental factors before conception or during early pregnancy [20]. Recent study has shown that supplementation of folic acid could protect against preterm birth. This study also suggests that the duration of folic acid supplementation may be as important as the dose. The risk of spontaneous preterm birth was inversely related to the duration of folic acid supplementation, and was lowest in women who reported using folic acid supplementation for more than a year prior to conception [21]. However, it is controversial whether folic acid supplementation influence the incidence of low birth weight or SGA [2123]. In our study, taking folic acid supplementation more than 3 months before LMP was associated with a significant reduction in incidence of preterm SGA. As mentioned before, 32.6% of the women in this study did not take folic acid before or during pregnancy, even it is routinely recommended. Considering the large percentage of subjects were from rural areas with relatively poor nutrition status, we think that health care providers in these areas, in particular, should emphasize on folic acid supplementation before pregnancy.

Oral contraceptive

Oral contraceptives use is one of the most popular reversible methods of contraception. However, the adverse effects of oral contraceptives on fetal development are unclear. Previous studies have reported the association of oral contraceptive use and preterm birth and low birth weight [24, 25]. It should be noted that oral contraceptive use is rare in China compared to developed countries; only 1.31% of women who delivered preterm SGA infants and 0.47% of women who delivered preterm non-SGA infants used oral contraceptives. In contrast, it was reported that oral contraceptive account for 79% of all contraception in America for the same period [26]. Nonetheless, we observed that the use of oral contraceptives was associated with preterm SGA infants. A possible explanation is that increased levels of estrogen at the time of blastocyst implantation may contribute to an increased risk of preterm birth, which has been shown in women undergoing fresh embryo-based transfer for in vitro fertilization [27, 28]. It is undeniable that oral contraceptives have many advantages in birth control and regulating the menstrual cycle, but physicians should be aware of its potential side effects of delivering preterm SGA infants.

Maternal eosinophil percentage

Eosinophils have been shown to be a significant cellular infiltrate of the placenta and uterus, including the infiltration and degranulation of eosinophils in the cervix of pregnant humans [29]. The roles of eosinophils in preterm delivery or SGA remains unknown. Elevation of the eosinophil level is associated with chronic inflammation or enhanced immune reactions, which may associate with preterm SGA infants. As the eosinophil percentage is not routinely determined in pregnancy, further research needs to be conducted to explore the relationship between the eosinophil percentage and pregnancy.

Infection of syphilis

Despite being easily detectable and treatable during pregnancy, syphilis remains an important cause of adverse pregnancy outcomes [30]. Syphilis in pregnancy may lead to severely adverse pregnancy outcome such as abortion, prematurity, neonatal death and congenital syphilis in the newborn [31]. In China, the incidence of congenital syphilis has increased at an alarming rate of 71.9% per year from 0.01 to 19.68 cases per 100,000 live births from 1997 to 2005 [32]. A study released in 2013 indicated that total incidence of maternal syphilis in China was estimated as 0.30% (95% CI: 0.28–0.32) [32]. In our study, the incidence of maternal syphilis was 1.35% in women who delivered preterm SGA infants, which was much higher than the incidence in women who delivered preterm non-SGA infants (0.271%). Unless testing and treatment of syphilis during pregnancy are made universally available, over half of the pregnancies in women with syphilis will have adverse outcome [33]. Primary prevention and prenatal care are needed to be addressed to reduce the incidence of syphilis associated preterm SGA infants.

Nutrition status of father

Our study showed that diet containing egg and meat of the father, which reflected the paternal nutritional status, particularly protein intake, was significantly associated with lower incidence of preterm SGA infants. Animal studies have demonstrated that all stages of gamete maturation and preimplantation embryo development are influenced directly by parental nutrition and hormonal status [34]. Moreover, an animal model showed that the diet during the preconception period and pregnancy of the males and females differentially affects embryonic growth and fatty acid content [35]. Also, there is an animal study showed that paternal nutrition can influence the amount of seminiferous tissue, spermatogenic capacity and spermatogenic efficiency [36]. However, our understanding of the influence of paternal nutritional status on human offspring is still limited.

Limitation

The primary limitation of our study is that several risk factors such as the beginning time of maternal folic acid intake, the paternal intake of egg and meat, and the use of oral contraceptive were based on self-report of the parents. More quantitative variables are needed in our questionnaire. With the large number of subjects, it is difficult to assure the completeness of data. This study identified several factors that are associated with preterm SGA, due to diverse culture and social economic status of these subjects, some confounding factors might be overlooked.

Conclusion

Our results show that preterm SGA infants were associated with both maternal and paternal factors. Maternal use of oral contraceptives, maternal syphilis infection, maternal higher eosinophil percentage, maternal folic acid intake less than 3 months before pregnancy and paternal low protein diet were associated with preterm SGA.

Abbreviations

AGA: 

Appropriate for gestational age

DM: 

Diabetes mellitus

LGA: 

Large for gestational age

LMP: 

Last menstrual period

SGA: 

Small for gestational age

Declarations

Acknowledgments

We thank all the participants in this research and all the medical staffs in the 220 counties for their hard work in NFPC. We also gratefully thank the valuable support of Xu Ma (National Research Institute for Family Planning, No. 12, Dahuisi Road, Haidian District, Beijing 100081, China), QiaoMei WANG, HaiPing SHEN and YiPING ZHANG (National health and family planning commission of the people’s republic of China).

Funding

This study was supported by the “Five-twelfth” National Science and Technology Support Program (No.2012BAI41B08, No.2013BAI12B01) and the National Natural Science Foundation (No.41401469), People’s Republic of China.

Availability of data and materials

The datasets during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

SC data analysis and drafting of manuscript. RZ data analysis and drafting of manuscript. HZ paper review and analysis of data. HY acquisition and interpretation of data and paper review. FG study design and drafting of manuscript. LW technical support, acquisition of data and paper review. YJ acquisition and interpretation of data and drafting of manuscript. BQL data analysis and paper review. CY acquisition and interpretation of data and drafting of manuscript. JL acquisition of data, technical support and paper review. QW acquisition of data, technical support and paper review. SZ study design and paper review. HP paper review and study supervision. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The study was approved by the medical ethics committee of the Peking Union Medical College Hospital. Informed consent was obtained from all NFPC participants.

Competing interests

The authors declare that they have no competing interests.

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking Union Medical College Hospital
(2)
Intern of medicine, PUMCH
(3)
School of public health, PUMC
(4)
University of Massachusetts Medical Center
(5)
Hebei Center for women and children’s health
(6)
School of Software Engineering, Beijing University of Technology
(7)
Tsinghua National Laboratory for Info. Science and Technology, Tsinghua University
(8)
Research association for women and children’s health
(9)
Department of Gynaecology and Obsterics, Peking University First Hospital

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