Pregnancy, pregnancy loss, and the risk of cardiovascular disease in Chinese women: findings from the China Kadoorie Biobank
- Sanne A. E. Peters†1,
- Ling Yang†2,
- Yu Guo3,
- Yiping Chen2,
- Zheng Bian3,
- Xiaocao Tian4,
- Liang Chang5,
- Shuo Zhang6,
- Jiaqiu Liu7,
- Tao Wang8,
- Junshi Chen9,
- Liming Li†3, 10,
- Mark Woodward†1, 11, 12,
- Zhengming Chen†2Email author and
- on behalf of the China Kadoorie Biobank collaboration group
© The Author(s). 2017
Received: 25 February 2017
Accepted: 6 July 2017
Published: 8 August 2017
Pregnancy and pregnancy loss may be linked to cardiovascular disease (CVD). However, the evidence is still inconsistent, especially in East Asians, whose reproductive patterns differ importantly from those in the West. We examined the associations of pregnancy, miscarriage, induced abortion, and stillbirth with CVD incidence among Chinese women.
In 2004–2008, the nationwide China Kadoorie Biobank recruited 302,669 women aged 30–79 years from ten diverse localities. During 7 years of follow-up, 43,968 incident cases of circulatory disease, 14,440 of coronary heart disease, and 19,925 of stroke (including 11,430 ischaemic and 2170 haemorrhagic strokes), were recorded among 289,573 women without prior CVD at baseline. Cox regression yielded multiple adjusted hazard ratios (HRs) for CVD risks associated with pregnancy outcomes.
Overall, 99% of women had been pregnant, and among them 10%, 53%, and 7% reported having a history of miscarriage, induced abortion, and stillbirth, respectively. Each additional pregnancy was associated with an adjusted HR of 1.03 (95% confidence interval, CI: 1.02; 1.04) for circulatory disease. A history of miscarriage, induced abortion, and stillbirth, respectively, were associated with adjusted HRs of 1.04 (1.01; 1.07), 1.04 (1.02; 1.07), and 1.07 (1.03; 1.11) for circulatory disease. The relationship was stronger with recurrent pregnancy loss; adjusted HRs for each additional loss being 1.04 (1.00; 1.09) for miscarriage, 1.02 (1.01; 1.04) for induced abortion, and 1.04 (1.00; 1.08) for stillbirth.
Among Chinese women, increases in pregnancy, and a history and recurrence of miscarriage, induced abortion, and stillbirth are each associated with a higher risk of CVD.
Pregnancy poses a substantial challenge to the cardiovascular system of the mother [1–3], with most, but not all, studies suggesting that the number of pregnancies is positively associated with maternal risk of cardiovascular disease (CVD) [4–6]. Globally, pregnancy loss is common — up to 20% of pregnancies end in a miscarriage , 35 induced abortions occurred annually per 1000 women aged 15–44 years worldwide in 2010–2014 , and an estimated 2.6 million stillbirths occurred in 2015 . Several behavioural, biological, and socioeconomic factors related to pregnancy loss are also involved in the aetiology of CVD. However, despite possible shared aetiology, the long-term effects of miscarriage, induced abortion, and stillbirth on risk of CVD remain uncertain.
A history of miscarriage or recurrent miscarriage has been linked to a higher risk of coronary heart disease (CHD), but not stroke, in previous studies, yet small study sizes, retrospective design, and inadequate adjustment for confounding factors hamper definitive conclusions . Evidence relating induced abortion or stillbirth to CVD is scant and, where available, primarily comes from Western populations [11–13]. Examination of cardiovascular implications of pregnancy and pregnancy loss is particularly relevant to China, where the incidence of CVD is rising and reproductive patterns have changed considerably — not only following the introduction of the one child per family policy in the late 1970s — yet remain importantly different compared to those in the West .
We examined the association of pregnancy and pregnancy loss with risk of circulatory disease, CHD, and stroke, including its major subtypes, in women from the China Kadoorie Biobank (CKB) , a contemporary prospective cohort study in ten geographically diverse regions in China.
Detailed information about the design of, and procedures in, CKB has previously been reported . Briefly, 302,669 women and 210,222 men were recruited from five urban and five rural areas of China between June 2004 and July 2008. At the study assessment clinics, trained health workers administered a laptop-based questionnaire on demographic and socioeconomic status, lifestyle factors, and personal and family medical history. This included women’s reproductive factors, with information solicited on the number of pregnancies, miscarriages, induced abortions, and stillbirths. A range of physical measurements (e.g. height, weight, waist, blood pressure) were also taken using standard methods. A blood sample was collected for long-term storage and future analyses.
Follow-up for morbidity and mortality
Study participants were followed for cause-specific morbidity and mortality through linkage with regional disease and death registers and with the national health insurance (HI) system. Causes of death were obtained from official death certificates and were, where necessary, supplemented by reviews of medical records. Data linkage with HI agencies was carried out every 6 months to retrieve all coded hospitalised events occurring in that period for study participants. To minimise attrition, active follow-up was performed annually. The main disease endpoints, based on the tenth edition of the International Classification of Diseases (ICD-10), for the present study were incident CHD (ICD-10 I20–I25), stroke (I60–I61, I63–I64), and all circulatory diseases (I00–I99). Haemorrhagic stroke (I61) and ischaemic stroke (I63) were secondary endpoints. Participants contributed only the first outcome (whether non-fatal or fatal) experienced during follow-up.
The present analysis involves all women without a self-reported history of CHD or stroke at baseline (n = 289,573). Analyses on the association between pregnancy loss and CVD outcomes were restricted to women who had ever been pregnant (n = 282,797).
Baseline characteristics are presented as means (standard deviation) for continuous variables and as percentages for categorical variables. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident circulatory disease, CHD, and stroke by number of pregnancies, miscarriages, induced abortions, and stillbirths. The Cox proportional hazards assumption was checked using log cumulative hazard plots and appeared to be reasonable. All analyses were stratified by age at risk and area of residence and adjusted for highest level of education attained (none, primary, secondary, tertiary or above), household income (<5000 yuan, 5000–19,999 yuan, ≥20,000 yuan), smoking (current, former, never), alcohol use (weekly, occasionally, never), physical activity, systolic blood pressure (SBP), history of hypertension, body mass index (BMI), and history of diabetes at baseline. Analyses for miscarriage, induced abortion, and stillbirth were additionally adjusted for number of live births and, where appropriate, number of miscarriages, induced abortions, and stillbirths. For comparisons involving more than two groups, CIs were estimated using floating absolute risks . In analyses restricted to women who had ever been pregnant, we estimated the HRs and CIs per additional pregnancy. Similarly, the HRs and CIs per additional miscarriage, induced abortion, or stillbirth were estimated among women who had experienced at least one miscarriage, induced abortion, or stillbirth. Subgroup analyses were conducted to obtain the HRs and CIs for incident circulatory disease, CHD, and stroke per additional pregnancy, miscarriage, induced abortion, or stillbirth by study region, age group, highest level of attained education, BMI, smoking status, history of diabetes, and history of hypertension. Separate models were fitted within each subgroup and tests for heterogeneity and trend were used to test for differences between subgroups. The heterogeneity test tests the null hypothesis that the coefficients of the variable of interest are zero for all subgroups against the alternative that at least one of them is not. The test statistic has a chi-squared distribution because it is a sum of independent N(0, 1) variables, due to its use of floating standard errors. The trend test tests whether the (independent normally distributed) coefficients follow a linear trend, for which the test statistic has a chi-squared distribution with one degree of freedom under the null. Analyses were performed using SAS version 9.3 and R version 3.1.2.
Baseline characteristics of study participants by number of pregnancies
Number of women (N)
Education level, %
Primary or below
Secondary or above
Household income, %
Current smoking, %
Regular alcohol use, %
Physical activity (MET hours/day)
17.2 (11.0, 28.7)
14.8 (9.3, 24.7)
20.3 (12.8, 31.8)
20.4 (12.3, 32.3)
18.3 (11.2, 30.0)
15.7 (10.3, 26.6)
12.9 (8.4, 21.1)
Systolic blood pressure, mmHg
Body mass index, kg/m2
History of hypertension, %
History of diabetes, %
Pregnancy loss, %
History of miscarriage
History of induced abortion
History of stillbirth
Ever use of oral contraceptives, %
During a median of 7.1 years (Q1: 6.2; Q3: 8.1) follow-up, 43,968 incident cases of circulatory disease were recorded, including 14,440 cases of CHD, 19,925 cases of stroke, 11,430 cases of ischaemic stroke, and 2170 cases of haemorrhagic stroke.
Pregnancy and CVD risks
Adjusted hazard ratios (95% confidence intervals) for incident coronary heart disease, stroke, and circulatory disease associated with number of pregnancies, miscarriages, induced abortions, and stillbirths
HR (95% CI)
HR (95% CI)
HR (95% CI)
Ever vs. never
0.91 (0.78; 1.06)
0.98 (0.86; 1.12)
0.98 (0.89; 1.07)
1.20 (1.03; 1.40)
1.06 (0.93; 1.22)
1.14 (1.04; 1.26)
1.00 (0.93; 1.08)
1.00 (0.94; 1.07)
1.00 (0.96; 1.04)
1.01 (0.96; 1.05)
0.99 (0.95; 1.02)
1.07 (1.04; 1.09)
1.03 (1.00; 1.07)
1.02 (0.99; 1.05)
1.10 (1.08; 1.12)
1.14 (1.10; 1.18)
1.03 (1.00; 1.06)
1.13 (1.11; 1.15)
1.19 (1.15; 1.24)
1.09 (1.05; 1.13)
1.19 (1.16; 1.22)
Per additional a
1.04 (1.03; 1.05)
1.02 (1.02; 1.03)
1.03 (1.02; 1.04)
Ever vs. never b
1.07 (1.02; 1.13)
1.04 (1.00; 1.09)
1.04 (1.01; 1.07)
1.00 (0.98; 1.02)
1.00 (0.98; 1.02)
1.00 (0.99; 1.01)
1.04 (0.98; 1.10)
1.04 (0.99; 1.09)
1.01 (0.98; 1.05)
1.19 (1.06; 1.33)
1.09 (0.99; 1.21)
1.12 (1.05; 1.21)
1.26 (1.05; 1.51)
1.15 (0.98; 1.36)
1.12 (0.99; 1.26)
Per additional a
1.07 (1.01; 1.14)
1.04 (0.98; 1.10)
1.04 (1.00; 1.09)
Ever vs. never b
1.11 (1.06; 1.15)
1.04 (1.01; 1.07)
1.04 (1.02; 1.07)
1.00 (0.97; 1.03)
1.00 (0.98; 1.02)
1.00 (0.98; 1.02)
1.08 (1.05; 1.11)
1.04 (1.01; 1.06)
1.04 (1.02; 1.06)
1.13 (1.08; 1.18)
1.05 (1.01; 1.09)
1.05 (1.02; 1.07)
1.14 (1.07; 1.21)
1.09 (1.04; 1.15)
1.09 (1.05; 1.13)
Per additional a
1.02 (1.00; 1.05)
1.03 (1.00; 1.05)
1.02 (1.01; 1.04)
Ever vs. never b
1.00 (0.94; 1.07)
1.06 (1.01; 1.12)
1.07 (1.03; 1.11)
1.00 (0.96; 1.04)
1.00 (0.97; 1.03)
1.00 (0.98; 1.02)
0.96 (0.90; 1.02)
1.05 (1.00; 1.11)
1.05 (1.01; 1.09)
1.08 (0.95; 1.23)
1.13 (1.02; 1.25)
1.12 (1.04; 1.21)
1.31 (1.10; 1.56)
0.99 (0.84; 1.17)
1.13 (1.01; 1.28)
Per additional a
1.13 (1.06; 1.20)
1.02 (0.96; 1.08)
1.04 (1.00; 1.08)
Miscarriage and CVD risks
Induced abortion and CVD risks
Compared to women who had never had an induced abortion, women with a history of induced abortion had an adjusted HR of 1.04 (1.02; 1.07) for circulatory disease. There was a log-linear association between the number of induced abortions and the risk of circulatory disease; the HRs were 1.04 (1.02; 1.06) for one, 1.05 (1.02; 1.07) for two, and 1.09 (1.05; 1.13) for three or more induced abortions (Table 2 and Additional file 1: Figure S1). Corresponding HRs for CHD were 1.08 (1.05; 1.11), 1.13 (1.08; 1.18), and 1.14 (1.07; 1.21), while for stroke they were 1.04 (1.01; 1.06), 1.05 (1.01; 1.09), and 1.09 (1.04; 1.15). Adjusted HRs for each additional induced abortion were 1.02 (1.01; 1.04) for circulatory disease, 1.02 (1.00; 1.05) for CHD, and 1.03 (1.00; 1.05) for stroke, with little heterogeneity across different population subgroups (Fig. 3 and Additional file 1: Figure S5). Analyses by stroke subtype yielded similar findings for ischaemic stroke, but no associations were found for haemorrhagic stroke (Additional file 1: Table S5).
Stillbirth and CVD risks
A history of stillbirth was associated with a higher risk of circulatory disease (1.07, 1.03; 1.11) and stroke (1.06, 1.00; 1.12), yet there was no apparent association with CHD (1.00, 0.94; 1.07) (Table 2). The HR for circulatory disease associated with the number of stillbirths was 1.05 (1.01; 1.09) for one, 1.12 (1.04; 1.21) for two, and 1.13 (1.01; 1.28) for three or more stillbirths (Table 2 and Additional file 1: Figure S1). The corresponding HRs for CHD were 0.96 (0.90; 1.02), 1.07 (0.94; 1.22), and 1.29 (1.08; 1.54) (Table 2 and Additional file 1: Figure S2). There was no clear dose-response association between the number of stillbirths and stroke (Table 2 and Fig. 1). The HRs associated with each additional stillbirth were 1.04 (1.00; 1.08) for circulatory disease, 1.13 (1.06; 1.20) for CHD, and 1.02 (0.96; 1.08) for stroke. Analyses by stroke subtype yielded broadly similar patterns for ischaemic stroke but somewhat stronger associations for haemorrhagic stroke (Additional file 1: Table S5). There were no material differences across population subgroups in the association between each additional stillbirth and the risk of circulatory disease, CHD, or stroke (Fig. 3 and Additional file 1: Figure S6).
Analyses stratified by age at risk and study area only yielded similar results compared to those from the main analyses for all comparisons (Additional file 1: Tables S5 and S6).
This large study of almost 300,000 women in China provides a comprehensive assessment of the relationships of pregnancy, pregnancy loss, and CVD incidence in later life. There was a J-shaped relationship between the number of pregnancies and CVD, with women who had never been pregnant or with multiple pregnancies being at a higher risk of CVD, compared with those who had been pregnant once. Furthermore, a history of miscarriage, induced abortion, and stillbirth each were associated with a higher risk of CVD. Although the strength of the relationships varied between types of pregnancy loss, the relationships generally became stronger with recurrent pregnancy loss. These results were not accounted for by adjustment for a range of potential confounders, and they were broadly consistent across major demographic and clinical subpopulations.
Previous studies of mostly Western populations have provided inconclusive evidence on the association between pregnancy loss and CVD risk, which may in part be limited by retrospective design, small study sizes, different exposure definitions, and varied levels of adjustment [11–13, 17–19]. A meta-analysis of ten cohort and case-control studies reported that women with a history of miscarriage are at a 45% higher risk of CHD, compared to women who have not experienced miscarriage; recurrent miscarriage was associated with a twofold risk of CHD . No association was found between a history of miscarriage and future stroke. A large-scale population-based study among more than one million women in Denmark found that a history of miscarriage was associated with an about 15% higher risk of myocardial infarction and stroke, and the associations were stronger in women with repeated miscarriages . Moreover, a study among 60,105 women in Scotland reported that miscarriage, but only when consecutive, was associated with a higher risk of CHD but not of stroke; HRs for CHD were 1.75 for two and 3.18 for three or more consecutive miscarriages, respectively .
This study concurs with previous findings and shows reliably that the risk of circulatory disease, CHD, and stroke is higher with increasing number of miscarriages. Prospective evidence on the relevance of stillbirth for the long-term risk of CVD outcomes is scarce. However, studies generally direct towards a positive relationship [12, 13, 19, 20], particularly for CHD, with adjusted HRs for CHD ranging from 1.25 among 78,000 women in the Women's Health Initiative  to 3.5 among 11,500 women from the EPIC-Heidelberg cohort . The only study so far in a Chinese population found no evidence of a relationship between the number of miscarriages or stillbirths and the risk of coronary or stroke death, although the small number of events limited reliable assessments of these relationships . The present study included a much larger number of well-characterised incident CVD events than any of these previous studies, and hence considerably expands previous findings by providing a detailed picture of the relevance of miscarriage and stillbirth on the risk of CVD in a contemporary population of Chinese women.
Miscarriage and stillbirth may be aetiologically linked to CVD through an underlying vascular pathology, particularly endothelial dysfunction, that could contribute to poor placental function during pregnancy, resulting in pregnancy loss and a higher risk of CVD [21, 22]. Indeed, a previous small-scale study reported that women with a history of recurrent pregnancy loss had more severe endothelial dysfunction compared to women who experienced uncomplicated pregnancies . Autoimmune disorders, including the antiphospholipid syndrome and systemic lupus erythematosus [23, 24], are commonly implicated in the occurrence of miscarriage and stillbirth. Hence, it may be that systemic inflammatory processes associated with autoimmune conditions and the progression of atherosclerosis lead to endothelial dysfunction and, in turn, increase the risk of both pregnancy loss and CVD . A genetic predisposition might be involved, as parents of women who experienced recurrent miscarriage are more likely to experience CHD compared to parents of women without such a history . Factor V Leiden or prothrombin gene mutations considerably increase the risk of abnormal placentation and recurrent miscarriage, and may predispose carriers to thrombotic disease in later life [27, 28].
Research on the health sequelae of induced abortion has primarily focussed on the risks of adverse obstetric or perinatal outcomes in subsequent pregnancies. For example, induced abortion might increase the risk of low birth weight and preterm birth , which has been linked to maternal CVD risk in later life in several studies [30, 31], even after accounting for socioeconomic factors, smoking, and pregnancy-related complications . Conversely, a history of induced abortion has been associated with a lower risk of preeclampsia in subsequent pregnancies [33, 34], which is in accordance with the protective effects of a previous birth on preeclampsia risk in later pregnancies [35, 36], but at odds with the higher risk of cardiometabolic outcomes seen among women with a history of preeclampsia . We report a graded relationship between the number of induced abortions and risk of CVD outcomes, which is in contrast with findings from previous studies that found no evidence for such a relationship [11, 12].
The present study has a number of strengths, including a large sample size, prospective design, and ability to adjust for a range of potential confounders. The generalisability of our findings was enhanced by the inclusion of women from ten diverse areas in China. While our findings were robust and consistent in a comprehensive series of analyses, the effect sizes of some estimates were small and may be subject to unmeasured or residual confounding, particularly those related to physiological, cultural, or socioeconomic factors underlying the number of pregnancies and pregnancy losses. Future Mendelian randomisation studies might help to assess the causality of our findings. Furthermore, pregnancies and pregnancy losses were self-reported and, for some women, solicited several years after their reproductive age. For example, miscarriages early in pregnancy are often silent and may have been underreported. This could have led to measurement error, which, if random, would have underestimated the true strengths of the observed associations. Data on the sequence and spacing of pregnancies and pregnancy losses across the reproductive life span were not available. Nevertheless, analyses adjusted for the total number of pregnancies and pregnancy losses throughout the reproductive lifespan or restricted to women who had reported exclusively on one type of pregnancy loss yielded virtually identical results, as in previous studies . Finally, our study did not collect data on CVD risk factors either before or during pregnancy that might determine pregnancy loss as well as future CVD risk. For example, women with pre-existing or pregnancy-induced conditions such as type 1 diabetes, gestational diabetes, gestational obesity, preeclampsia, or polycystic ovary syndrome might be more likely to experience pregnancy loss than women without these risk factors.
In conclusion, increases in pregnancy, and a history and recurrence of miscarriage, induced abortion, and stillbirth are each associated with a higher risk of CVD outcomes in Chinese women. Further studies are needed to elucidate the physiological, behavioural, and socioeconomic factors involved. If causal, more frequent screening and timely intervention might help to delay or prevent the onset of CVD among women with large numbers of pregnancies or recurrent pregnancy loss.
The chief acknowledgment is to the participants, the project staff, and the China National Centre for Disease Control and Prevention (CDC) and its regional offices for access to death and disease registries. The Chinese National Health Insurance scheme provides electronic linkage to all hospital admission data. Members of the China Kadoorie Biobank collaborative group International Steering Committee: Junshi Chen, Zhengming Chen (PI), Rory Collins, Liming Li (PI), Richard Peto. International Co-ordinating Centre, Oxford: Daniel Avery, Derrick Bennett, Yumei Chang, Yiping Chen, Zhengming Chen, Robert Clarke, Huaidong Du, Xuejuan Fan, Simon Gilbert, Alex Hacker, Michael Holmes, Andri Iona, Christiana Kartsonaki; Rene Kerosi, Ling Kong, Om Kurmi, Garry Lancaster, Sarah Lewington, John McDonnell, Winnie Mei, Iona Millwood, Qunhua Nie, Jayakrishnan Radhakrishnan, Sajjad Rafiq, Paul Ryder, Sam Sansome, Dan Schmidt, Paul Sherliker, Rajani Sohoni, Iain Turnbull, Robin Walters, Jenny Wang, Lin Wang, Ling Yang, Xiaoming Yang. National Co-ordinating Centre, Beijing: Zheng Bian, Ge Chen, Yu Guo, Bingyang Han, Can Hou, Jun Lv, Pei Pei, Shuzhen Qu, Yunlong Tan, Canqing Yu, Huiyan Zhou. Ten Regional Co-ordinating Centres: Qingdao Qingdao CDC: Zengchang Pang, Ruqin Gao, Shaojie Wang, Yongmei Liu, Ranran Du, Yajing Zang, Liang Cheng, Xiaocao Tian, Hua Zhang. Licang CDC: Silu Lv, Junzheng Wang, Wei Hou. Heilongjiang Provincial CDC: Jiyuan Yin, Ge Jiang, Shumei Liu, Zhigang Pang, Xue Zhou. Nangang CDC: Liqiu Yang, Hui He, Bo Yu, Yanjie Li, Huaiyi Mu, Qinai Xu, Meiling Dou, Jiaojiao Ren. Hainan Provincial CDC: Jianwei Du, Shanqing Wang, Ximin Hu, Hongmei Wang, Jinyan Chen, Yan Fu, Zhenwang Fu, Xiaohuan Wang, Hua Dong. Meilan CDC: Min Weng, Xiangyang Zheng, Yijun Li, Huimei Li, Chenglong Li. Jiangsu Provincial CDC: Ming Wu, Jinyi Zhou, Ran Tao, Jie Yang. Suzhou CDC: Jie Shen, Yihe Hu, Yan Lu, Yan Gao, Liangcai Ma, Renxian Zhou, Aiyu Tang, Shuo Zhang, Jianrong Jin. Guangxi Provincial CDC: Zhenzhu Tang, Naying Chen, Ying Huang. Liuzhou CDC: Mingqiang Li, Jinhuai Meng, Rong Pan, Qilian Jiang, Jingxin Qing, Weiyuan Zhang, Yun Liu, Liuping Wei, Liyuan Zhou, Ningyu Chen, Jun Yang, Hairong Guan. Sichuan Provincial CDC: Xianping Wu, Ningmei Zhang, Xiaofang Chen, Xuefeng Tang. Pengzhou CDC: Guojin Luo, Jianguo Li, Xiaofang Chen, Jian Wang, Jiaqiu Liu, Qiang Sun. Gansu Provincial CDC: Pengfei Ge, Xiaolan Ren, Caixia Dong. Maiji CDC: Hui Zhang, Enke Mao, Xiaoping Wang, Tao Wang. Henan Provincial CDC: Guohua Liu, Baoyu Zhu, Gang Zhou, Shixian Feng, Liang Chang, Lei Fan. Huixian CDC: Yulian Gao, Tianyou He, Li Jiang, Huarong Sun, Pan He, Chen Hu, Qiannan Lv, Xukui Zhang. Zhejiang Provincial CDC: Min Yu, Ruying Hu, Le Fang, Hao Wang. Tongxiang CDC: Yijian Qian, Chunmei Wang, Kaixue Xie, Lingli Chen, Yaxing Pan, Dongxia Pan. Hunan Provincial CDC: Yuelong Huang, Biyun Chen, Donghui Jin, Huilin Liu, Zhongxi Fu, Qiaohua Xu. Liuyang CDC: Xin Xu, Youping Xiong, Weifang Jia, Xianzhi Li, Libo Zhang, Zhe Qiu.
The baseline survey was funded by the Kadoorie Charitable Foundation, Hong Kong. Long-term continuation was funded by the UK Wellcome Trust (088158/Z/09/Z, 104085/Z/14/Z), the Chinese Ministry of Science and Technology (2011BAI09B01, 2012-14), and the Chinese National Natural Science Foundation (81390541). The British Heart Foundation, UK Medical Research Council, and Cancer Research UK provide core funding to the Oxford Clinical Trial Service Unit. This work was also supported by grants from the National Natural Science Foundation of China (No. 81390541, No. 81390544).
Availability of data and materials
The materials are available upon request; some restrictions will apply.
SP, LY, MW, and ZC were involved in the concept and design of the study. SP conducted the statistical analyses and prepared the first draft of the manuscript. All authors were involved in the acquisition and/or interpretation of the data, made critical revisions of the manuscript for important intellectual content, and provided final approval of the version to be published. SP, LY, MW, and ZC are responsible for the integrity of the work as a whole.
Ethics approval and consent to participate
Central ethical approvals were obtained from Oxford University and the China National CDC. Approvals were also obtained from institutional research boards at the local CDCs in the ten areas; Qingdao, Qingdao CDC; Heilongjiang, Provincial CDC; Hainan, Provincial CDC; Jiangsu, Provincial CDC; Guangxi, Provincial CDC; Sichuan, Provincial CDC; Gansu, Provincial CDC; Henan, Provincial CDC; Zhejiang, Provincial CDC; Hunan, Provincial CDC.
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- Lain KY, Catalano PM. Metabolic changes in pregnancy. Clinical Obstet Gynecol. 2007;50:938–48.View ArticleGoogle Scholar
- Martin U, Davies C, Hayavi S, Hartland A, Dunne F. Is normal pregnancy atherogenic? Clinical Sci. 1999;96:421–5.View ArticleGoogle Scholar
- Sanghavi M, Rutherford JD. Cardiovascular physiology of pregnancy. Circulation. 2014;130:1003–8.View ArticlePubMedGoogle Scholar
- Beral V. Long term effects of childbearing on health. J Epidemiol Community Health. 1985;39:343–6.View ArticlePubMedPubMed CentralGoogle Scholar
- Dekker JM, Schouten EG. Number of pregnancies and risk of cardiovascular disease. New England J Med. 1993;329:1893–4. author reply 1894–5.View ArticleGoogle Scholar
- Ness RB, Harris T, Cobb J, Flegal KM, Kelsey JL, Balanger A, et al. Number of pregnancies and the subsequent risk of cardiovascular disease. New England J Med. 1993;328:1528–33.View ArticleGoogle Scholar
- Committee on Practice Bulletins—Gynecology. American College of Obstetricians and Gynecologists Practice Bulletin no. 150. Early pregnancy loss. Obstet Gynecol. 2015;125:1258–67.View ArticleGoogle Scholar
- Sedgh G, Bearak J, Singh S, Bankole A, Popinchalk A, Ganatra B, et al. Abortion incidence between 1990 and 2014: Global, regional, and subregional levels and trends. Lancet. 2016;388:258–67.View ArticlePubMedPubMed CentralGoogle Scholar
- Lawn JE, Blencowe H, Waiswa P, Amouzou A, Mathers C, Hogan D, et al. Stillbirths: rates, risk factors, and acceleration towards 2030. Lancet. 2016;387:587–603.View ArticlePubMedGoogle Scholar
- Oliver-Williams CT, Heydon EE, Smith GC, Wood AM. Miscarriage and future maternal cardiovascular disease: a systematic review and meta-analysis. Heart. 2013;99:1636–44.View ArticlePubMedPubMed CentralGoogle Scholar
- Gallagher LG, Davis LB, Ray RM, Psaty BM, Gao DL, Checkoway H, et al. Reproductive history and mortality from cardiovascular disease among women textile workers in Shanghai. China Internat J Epidemiol. 2011;40:1510–8.View ArticleGoogle Scholar
- Kharazmi E, Dossus L, Rohrmann S, Kaaks R. Pregnancy loss and risk of cardiovascular disease: a prospective population-based cohort study (EPIC-Heidelberg). Heart. 2011;97:49–54.View ArticlePubMedGoogle Scholar
- Ranthe MF, Andersen EA, Wohlfahrt J, Bundgaard H, Melbye M, Boyd HA. Pregnancy loss and later risk of atherosclerotic disease. Circulation. 2013;127:1775–82.View ArticlePubMedGoogle Scholar
- Lewington S, Li L, Murugasen S, Hong LS, Yang L, Guo Y, et al. Temporal trends of main reproductive characteristics in ten urban and rural regions of China: the China Kadoorie Biobank study of 300 000 women. Internat J Epidemiol. 2014;43:1252–62.View ArticleGoogle Scholar
- Chen Z, Chen J, Collins R, Guo Y, Peto R, Wu F, et al. China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up. Internat J Epidemiol. 2011;40:1652–66.View ArticleGoogle Scholar
- Easton DF, Peto J, Babiker AG. Floating absolute risk: an alternative to relative risk in survival and case-control analysis avoiding an arbitrary reference group. Statistics Med. 1991;10:1025–35.View ArticleGoogle Scholar
- Smith GC, Pell JP, Walsh D. Spontaneous loss of early pregnancy and risk of ischaemic heart disease in later life: retrospective cohort study. BMJ. 2003;326:423–4.View ArticlePubMedPubMed CentralGoogle Scholar
- Calderon-Margalit R, Friedlander Y, Yanetz R, Deutsch L, Manor O, Harlap S, et al. Late stillbirths and long-term mortality of mothers. Obstet Gynecol. 2007;109:1301–8.View ArticlePubMedGoogle Scholar
- Parker DR, Lu B, Sands-Lincoln M, Kroenke CH, Lee CC, O'Sullivan M, et al. Risk of cardiovascular disease among postmenopausal women with prior pregnancy loss: the women's health initiative. Ann Fam Med. 2014;12:302–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Wagner MM, Bhattacharya S, Visser J, Hannaford PC, Bloemenkamp KW. Association between miscarriage and cardiovascular disease in a Scottish cohort. Heart. 2015;101:1933–4.View ArticleGoogle Scholar
- Fretts RC. Etiology and prevention of stillbirth. Am J Obstet Gynecol. 2005;193:1923–35.View ArticlePubMedGoogle Scholar
- Germain AM, Romanik MC, Guerra I, Solari S, Reyes MS, Johnson RJ, et al. Endothelial dysfunction: a link among preeclampsia, recurrent pregnancy loss, and future cardiovascular events? Hypertension. 2007;49:90–5.View ArticlePubMedGoogle Scholar
- Hughes GR. The antiphospholipid syndrome: ten years on. Lancet. 1993;342:341–4.View ArticlePubMedGoogle Scholar
- Smyth A, Oliveira GH, Lahr BD, Bailey KR, Norby SM, Garovic VD. A systematic review and meta-analysis of pregnancy outcomes in patients with systemic lupus erythematosus and lupus nephritis. Clinical J Am Society Nephrology. 2010;5:2060–8.View ArticleGoogle Scholar
- Hansson GK. Inflammation, atherosclerosis, and coronary artery disease. New England J Med. 2005;352:1685–95.View ArticleGoogle Scholar
- Smith GC, Wood AM, Pell JP, Hattie J. Recurrent miscarriage is associated with a family history of ischaemic heart disease: a retrospective cohort study. BJOG. 2011;118:557–63.View ArticlePubMedGoogle Scholar
- Kovalevsky G, Gracia CR, Berlin JA, Sammel MD, Barnhart KT. Evaluation of the association between hereditary thrombophilias and recurrent pregnancy loss: a meta-analysis. Arch Internal Med. 2004;164:558–63.View ArticleGoogle Scholar
- Kupferminc MJ, Eldor A, Steinman N, Many A, Bar-Am A, Jaffa A, et al. Increased frequency of genetic thrombophilia in women with complications of pregnancy. New England J Med. 1999;340:9–13.View ArticleGoogle Scholar
- Shah PS, Zao J. Induced termination of pregnancy and low birthweight and preterm birth: a systematic review and meta-analyses. BJOG. 2009;116:1425–42.View ArticlePubMedGoogle Scholar
- Davey Smith G, Hypponen E, Power C, Lawlor DA. Offspring birth weight and parental mortality: prospective observational study and meta-analysis. Am J Epidemiol. 2007;166:160–9.View ArticlePubMedGoogle Scholar
- Catov JM, Wu CS, Olsen J, Sutton-Tyrrell K, Li J, Nohr EA. Early or recurrent preterm birth and maternal cardiovascular disease risk. Ann Epidemiol. 2010;20:604–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Bonamy AK, Parikh NI, Cnattingius S, Ludvigsson JF, Ingelsson E. Birth characteristics and subsequent risks of maternal cardiovascular disease: effects of gestational age and fetal growth. Circulation. 2011;124:2839–46.View ArticlePubMedGoogle Scholar
- Eras JL, Saftlas AF, Triche E, Hsu CD, Risch HA, Bracken MB. Abortion and its effect on risk of preeclampsia and transient hypertension. Epidemiol. 2000;11:36–43.View ArticleGoogle Scholar
- Trogstad L, Magnus P, Skjaerven R, Stoltenberg C. Previous abortions and risk of pre-eclampsia. Internat J Epidemiol. 2008;37:1333–40.View ArticleGoogle Scholar
- Redman CW, Sacks GP, Sargent IL. Preeclampsia: an excessive maternal inflammatory response to pregnancy. Am J Obstet Gynecol. 1999;180:499–506.View ArticlePubMedGoogle Scholar
- Sibai B, Dekker G, Kupferminc M. Pre-eclampsia. Lancet. 2005;365:785–99.View ArticleGoogle Scholar
- Brown MC, Best KE, Pearce MS, Waugh J, Robson SC, Bell R. Cardiovascular disease risk in women with pre-eclampsia: systematic review and meta-analysis. European J Epidemiol. 2013;28:1–19.View ArticleGoogle Scholar