Abstract
STUDY QUESTION
Is there an association between adverse childhood experiences (ACE) and the risk of miscarriage in the general population?
SUMMARY ANSWER
Specific ACE as well as the summary ACE score were associated with an increased risk of single and recurrent miscarriages.
WHAT IS KNOWN ALREADY
There is scarce evidence on the association between ACE and miscarriage risk.
STUDY DESIGN, SIZE, DURATION
We conducted a retrospective national cohort study. The sample consisted of 2795 women aged 55–89 years from the English Longitudinal Study of Ageing (ELSA).
PARTICIPANTS/MATERIALS, SETTING, METHODS
Our study was population-based and included women who participated in the ELSA Life History Interview in 2007. We estimated multinomial logistic regression models of the associations of the summary ACE score and eight individual ACE variables (pertaining to physical and sexual abuse, family dysfunction and experiences of living in residential care or with foster parents) with self-reported miscarriage (0, 1, ≥2 miscarriages).
MAIN RESULTS AND THE ROLE OF CHANCE
Five hundred and fifty-three women (19.8% of our sample) had experienced at least one miscarriage in their lifetime. Compared with women with no ACE, women with ≥3 ACE were two times more likely to experience a single miscarriage in their lifetime (relative risk ratio 2.00, 95% CI 1.25–3.22) and more than three times more likely to experience recurrent miscarriages (≥2 miscarriages) (relative risk ratio 3.10, 95% CI 1.63, 5.89) after adjustment for birth cohort, age at menarche and childhood socioeconomic position. Childhood experiences of physical and sexual abuse were individually associated with increased risk of miscarriage.
LIMITATIONS, REASONS FOR CAUTION
Given the magnitude of the observed associations, their biological plausibility, temporal order and consistency with evidence suggesting a positive association between ACE and adverse reproductive outcomes, it is unlikely that our findings are spurious. Nevertheless, the observed associations should not be interpreted as causal as our study was observational and potentially susceptible to bias arising from unaccounted confounders. Non-response and ensuing selection bias may have also biased our findings. Retrospectively measured ACE are known to be susceptible to underreporting. Our study may have misclassified cases of ACE and possibly underestimated the magnitude of the association between ACE and the risk of miscarriage.
WIDER IMPLICATIONS OF THE FINDINGS
Our study highlights experiences of psychosocial adversity in childhood as a potential risk factor for single and recurrent miscarriages. Our findings contribute to a better understanding of the role of childhood trauma in miscarriage and add an important life course dimension to the study of miscarriage.
STUDY FUNDING/COMPETING INTEREST(S)
ELSA is currently funded by the National Institute on Aging in USA (R01AG017644) and a consortium of UK government departments coordinated by the National Institute for Health Research. The funders had no role in the study design, data collection and analysis, decision to publish or preparation of the article. The authors have no actual or potential competing financial interests to disclose.
Keywords: adverse childhood experiences, cohort study, life course, miscarriage, pregnancy loss, recurrent miscarriages, reproductive epidemiology
Introduction
Miscarriage, the loss of clinically established pregnancy at gestational age ≤24 weeks (Tur-Torres et al., 2017; ESHRE Guideline Group on RPL et al., 2018), is the commonest complication in pregnancy (Feodor Nilsson et al., 2014; Smith et al., 2019). In UK, it is estimated that miscarriage occurs in one in five pregnancies (National Institute for Health and Care Excellence, 2019). Miscarriages, especially recurrent ones (ESHRE Guideline Group on RPL et al., 2018), pose a challenging clinical problem because in many cases their aetiology cannot be determined and are characterized as unexplained (Saravelos and Li, 2012; Tur-Torres et al., 2017). Chromosomal abnormalities and genetic disorders are responsible for 50–70% of pregnancy losses at gestational age <10 weeks, but only explain a small proportion of miscarriages that occur at gestational age ≥12 weeks (Tur-Torres et al., 2017) or miscarriages in younger women (Christiansen et al., 2008). The burden of miscarriage combined with the unexplained aetiology of many cases underlines the need to improve our understanding of the implicated risk factors. Improved knowledge of the pathogenic processes and pathways could lead to better identification of prevention and therapeutic targets, and potentially help to reduce the number of incident cases of miscarriage.
Aside from karyotype abnormalities, genetic disorders and high-risk genetic variants, there are numerous maternal risk factors that contribute to the majority of single and recurrent miscarriages (Christiansen et al., 2008; Feodor Nilsson et al., 2014; ESHRE Guideline Group on RPL et al., 2018). Paternal contribution to miscarriage has been studied less. This can be sperm-related (Tur-Torres et al., 2017; Jayasena et al., 2019) but also behavioural, social and psychological and related to maternal stress levels and well-being (Maconochie et al., 2007; Leeners et al., 2013, 2014). The numerous maternal factors that have been implicated in miscarriage range from downstream factors such as uterine immune imbalances to more upstream factors such as obesity, unhealthy behaviours and advanced maternal age (Christiansen et al., 2008; Feodor Nilsson et al., 2014; ESHRE Guideline Group on RPL et al., 2018). Stress is a recognized contributing factor to miscarriage but is not currently considered to be a direct cause of recurrent miscarriage (ESHRE Guideline Group on RPL et al., 2018).
Adverse childhood experiences (ACE), a term that typically describes childhood experiences of abuse and a dysfunctional family or lacking a family, are known to exert a negative effect on multiple health domains (Hughes et al., 2017). Recent literature suggests that ACE and other psychosocial adversity in childhood are systematically associated with reproduction-related outcomes such as pubertal maturation and age at menarche (Li et al., 2014; Yermachenko and Dvornyk, 2014; Magnus et al., 2018; Demakakos et al., 2019), adolescent pregnancy (Madigan et al., 2014), younger age at menopause (Magnus et al., 2018; Demakakos et al., 2019) and increased risk of pre-menopause bilateral oophorectomy (Gazzuola Rocca et al., 2017). Despite inconsistent results (Wosu et al., 2015), evidence also indicates that ACE are associated with preterm delivery (Wosu et al., 2015; Selk et al., 2016; Smith et al., 2016; Liu et al., 2018; Cammack et al., 2019) and pregnancy complications (Leeners et al., 2010). The association between ACE and miscarriage has not been studied adequately (Hillis et al., 2004; Abajobir et al., 2018; Li et al., 2018). A US study found a graded association between the ACE score and risk of miscarriage or stillbirth (Hillis et al., 2004), whereas another US study found a positive association between own or family substance abuse problems in childhood and risk of miscarriage (Li et al., 2018). A prospective study of young Australian women also reported associations between neglect and emotional and physical abuse and increased risk of miscarriage (Abajobir et al., 2018).
Based on the biological plausibility of the association of ACE, a major childhood stressor, with miscarriage, the clinical and social relevance of this association and the paucity of evidence about it, we studied whether individual ACE and a summary ACE score were associated with the lifetime risk of single and recurrent miscarriage in a national sample of older English women. Our main aim was to add to the limited evidence on this association and improve our understanding of it. Our objective was to contribute to the discussion about the role of psychosocial factors in miscarriage and bring to the forefront lesser known risk factors such as childhood adversity.
Materials and methods
Study population
Our sample was from the English Longitudinal Study of Aging (ELSA) (www.elsa-project.ac.uk). ELSA is a panel study of English adults aged ≥50 years that is designed to be nationally representative. The ELSA baseline interview (wave 1) was in 2002–2003 and included a core sample of 11 391 individuals (6205 women). After the baseline interview, participants were re-interviewed at regular intervals every 2 years and had a health examination every 4 years. The childhood adversity and miscarriage data were collected during the 2007 ELSA Life History Interview. This was a one-off survey that followed the 2006–2007 ELSA follow-up interview (wave 3) and collected retrospective information about the lives of the respondents before joining ELSA.
Of the 7535 individuals, who had participated in ELSA wave 3, 6199 participated in the ELSA Life History Interview, of which 3441 were women. The analytical sample included 2795 women who were aged ≥55 years in 2007 after the exclusion of 59 women aged ≥90 years, 497 women who did not complete the childhood experiences questionnaire, 38 with missing information on age at menarche (including 2 with age at menarche >20 years), 1 with missing miscarriage data and 51 with missing values in education and total net household wealth. ELSA has been approved by the London Multi-Centre Research Ethics Committee (MREC/01/2/91) and informed consent has been obtained by the respondents.
Measurement of childhood adversity
All childhood adversity variables were retrospectively measured. We generated a summary ACE score by adding up the following eight binary ACE variables: (i) having lived most of childhood in a single natural mother family, (ii) ever lived in institutions providing residential care for children (such as children’s home) or with foster parents, (iii) separation from mother for ≥6 months at age ≤16 years, (iv) victim of serious physical attack/assault at age ≤16 years, (v) victim of sexual assault (including rape or harassment) at age ≤16 years, (vi) physically abusive parents at age <16 years, (vii) parents with substance abuse or mental health problems at age <16 years and (viii) parents argued or fought very often at age <16 years. For the purposes of our analyses, we categorized the summary ACE score as follows: 0, 1, 2, ≥3 ACE.
The eight ACE variables in our study covered domains that the original ACE study had examined, such as abuse (physical and sexual abuse), household dysfunction (living with parents with substance abuse or mental health problems) and parental separation (separation from mother for ≥6 months) (Felitti et al., 1998; Dietz et al., 1999). We also measured experiences of residential and foster care in childhood (ever lived in institutions providing residential care for children or with foster parents), which is an adversity domain that has been included in later ACE measures (Cronholm et al., 2015). Finally, we included two variables (parents fought very often and participants lived most of their childhood in a single mother family) that expand the family relationships/household dysfunction dimension of the original ACE measure (Wade et al., 2014).
Measurement of miscarriage
Information on reproductive history was self-reported and retrospectively collected. After a detailed assessment of pregnancies that ended in live births, respondents were asked to remember all pregnancies that did not result in live birth including any experience of miscarriage. We counted the number of miscarriages experienced by the respondents. Based on the ESHRE guidelines about recurrent miscarriages (ESHRE Guideline Group on RPL et al., 2018), we categorized the miscarriage count into a variable with the following three categories: no miscarriage, one/single miscarriage and recurrent (≥2) miscarriages.
Covariates
To account for potential generational differences, we used generation/birth cohort categories (born between 1917 and 1926, 1927 and 1936, 1937 and 1946 and 1947 and 1952) instead of continuous age. We measured the following childhood covariates: age at menarche (that is the age at first menstrual period: ≤10, 11, 12, 13, 14, 15 and ≥16 years) and childhood socioeconomic position (SEP) (three variables: experience of severe financial crisis at age ≥16 years, paternal or main carer’s occupational class at age 14 years and number of books in the household at age 10 years). On the understanding that adult SEP and unhealthy behaviours can be pathways linking ACE with miscarriage, we measured the following adulthood covariates: education (1, post-secondary education including college and university; 2, completed secondary education or equivalent; 3, no educational qualifications including not having completed secondary education or lower), tertiles of total net household wealth in 2006, smoking history (never, ever or current smoker) and BMI (<25, 25 to <30 and ≥30 kg/m2) and waist circumference (<80, 80–87 and ≥88 cm) in 2004. We also measured parity (0, 1, 2, ≥3 children).
Statistical analyses
Our study was based on secondary analysis of the ELSA data. We examined the bivariate associations between the summary ACE score and each of the covariates (Table I). We also estimated multinomial logistic regression models of the association between the summary ACE score and the risk of miscarriage (0, 1, ≥2 miscarriages) (Table II). In terms of modelling, we estimated the unadjusted associations, which we first adjusted for birth cohort and potential childhood confounders: age at menarche and childhood SEP, and then for potential adult pathways including adult SEP, obesity and smoking. In addition, we estimated multinomial logistic regression models of the associations between each of the eight individual ACE variables and the risk of miscarriage (Table III). These were adjusted for birth cohort, age at menarche and childhood SEP. The bivariate associations between each of the eight individual ACE variables and miscarriage categories are presented in the online supplement (Supplementary Table SI).
Table I.
Sample characteristics by summary adverse childhood experience (ACE) score categories a (N = 2795).
No ACE (N = 1695) | 1 ACE (N = 741) | 2 ACE (N = 247) | ≥3 ACE (N = 112) | P-value | |
---|---|---|---|---|---|
Age, mean (SD) | 68.6 (9.0) | 68.8 (8.9) | 67.6 (8.2) | 65.4 (7.4) | <0.001 |
Generation/birth cohort (born between), N (%) | 0.009 | ||||
1917–1926 | 235 (13.8) | 86 (11.6) | 22 (8.9) | 3 (2.7) | |
1927–1936 | 468 (27.6) | 252 (34.0) | 78 (31.6) | 27 (24.1) | |
1937–1946 | 620 (36.6) | 243 (32.8) | 94 (38.1) | 51 (45.5) | |
1947–1952 | 372 (22.0) | 160 (21.6) | 53 (21.4) | 31 (27.7) | |
Paternal or main carer’s occupation at age 14 years, N (%) | 0.009 | ||||
Managerial, professional, business owner, administration | 584 (34.5) | 229 (30.9) | 77 (31.2) | 25 (22.3) | |
Sales, trade and care professions | 529 (31.2) | 211 (28.5) | 71 (28.7) | 27 (24.1) | |
Plant worker, casual jobs, unemployed | 521 (30.7) | 265 (35.7) | 88 (35.6) | 48 (42.9) | |
Other incl. pensioners, armed forces and missingb | 61 (3.6) | 36 (4.9) | 11 (4.5) | 12 ( 10.7) | |
Number of books in the household at age 10 years, N (%) | <0.001 | ||||
Enough to fill ≥two bookcases (>100) | 333 (19.6) | 138 (18.6) | 38 (15.4) | 18 (16.1) | |
Enough to fill one bookcase (26–100) | 530 (31.3) | 198 (26.7) | 56 (22.7) | 20 (17.9) | |
Enough to fill one shelf (11–25) | 423 (25.0) | 164 (22.1) | 58 (23.5) | 22 (19.6) | |
None or very few | 357 (21.0) | 202 (27.3) | 75 (30.3) | 36 (32.1) | |
Missing/otherb | 52 (3.1) | 39 (5.3) | 20 (8.1) | 16 (14.3) | |
Ever experienced severe financial hardship at age ≤16 years, N (%) | <0.001 | ||||
No | 1586 (93.6) | 652 (88.0) | 209 (84.6) | 90 (80.4) | |
Yes | 32 (1.9) | 31 (4.2) | 11 (4.5) | 7 (6.2) | |
Yes (but at an unknown age) | 53 (3.1) | 45 (6.1) | 23 (9.3) | 11 (9.8) | |
Missingb | 24 (1.4) | 13 (1.7) | 4 (1.6) | 4 (3.6) | |
Education, N (%) | 0.20 | ||||
Post-secondary, including college and university | 458 (27.0) | 187 (25.2) | 58 (23.5) | 39 (34.8) | |
Secondary | 579 (34.2) | 248 (33.5) | 80 (32.4) | 29 (25.9) | |
Did not complete secondary education/no educational qualifications | 658 (38.8) | 306 (41.3) | 109 (44.1) | 44 (39.3) | |
Tertiles of total net non-pension household wealth, N (%) | 0.014 | ||||
Wealthiest tertile (>£295 000)c | 580 (34.2) | 242 (32.7) | 78 (31.6) | 31 (27.7) | |
Intermediate tertile (≤£295 000–>£152 100) | 576 (34.0) | 237 (32.0) | 91 (36.8) | 27 (24.1) | |
Poorest tertile (≤£152 100) | 539 (31.8) | 262 (35.3) | 78 (31.6) | 54 (48.2) | |
Smoking history, N (%) | <0.001 | ||||
Never a smoker | 831 (49.0) | 318 (42.9) | 94 (38.1) | 38 (33.9) | |
Ex-smoker | 625 (36.9) | 305 (41.2) | 105 (42.5) | 42 (37.5) | |
Current smoker | 239 (14.1) | 118 (15.9) | 48 (19.4) | 32 (27.6) | |
BMI, N (%) | 0.23 | ||||
<25 kg/m2 (normal weight)d | 454 (26.8) | 181 (24.4) | 58 (23.5) | 27 (24.1) | |
25 to ≥30 kg/m2 (overweight) | 561 (33.1) | 265 (35.8) | 74 (30.0) | 36 (32.1) | |
≥30 kg/m2 (obese) | 452 (26.7) | 198 (26.7) | 82 (33.2) | 35 (31.3) | |
Missingb | 228 (13.4) | 97 (13.1) | 33 (13.4) | 14 (12.5) | |
Waist circumference, N (%) | 0.30 | ||||
<80 cm | 306 (18.1) | 129 (17.4) | 36 (14.6) | 19 (17.0) | |
80–87 cm | 353 (20.8) | 148 (20.0) | 41 (16.6) | 18 (16.1) | |
≥88 cm | 842 (49.7) | 385 (51.9) | 141 (57.1) | 62 (55.3) | |
Missingb | 194 (11.4) | 79 (10.7) | 29 (11.7) | 13 (11.6) | |
Age at menarche (in years of age), N (%) | 0.020 | ||||
≤10 | 75 (4.4) | 35 (4.7) | 18 (7.3) | 11 (9.8) | |
11 | 275 (16.2) | 126 (17.0) | 57 (23.2) | 15 (13.4) | |
12 | 263 (15.5) | 117 (15.8) | 31 (12.6) | 18 (16.1) | |
13 | 400 (23.6) | 154 (20.8) | 49 (19.8) | 22 (19.6) | |
14 | 356 (21.0) | 171 (23.1) | 50 (20.2) | 19 (17.0) | |
15 | 208 (12.3) | 83 (11.2) | 28 (11.3) | 11 (9.8) | |
≥16 | 118 (7.0) | 55 (7.4) | 14 (5.7) | 16 (14.3) | |
Parity (number of biological children), N (%) | 0.009 | ||||
0 | 199 (11.7) | 96 (13.0) | 37 (15.0) | 17 (15.2) | |
1 | 222 (13.1) | 94 (12.7) | 25 (10.1) | 8 (7.1) | |
2 | 717 (42.3) | 265 (35.8) | 92 (37.2) | 38 (33.9) | |
≥3 | 557 (32.9) | 286 (38.6) | 93 (37.7) | 49 (43.8) | |
Miscarriages | <0.001 | ||||
0 | 1362 (80.4) | 606 (81.8) | 204 (82.6) | 70 (62.5) | |
1 | 248 (14.6) | 99 (13.4) | 31 (12.5) | 28 (25.0) | |
≥2 | 85 (5.0) | 36 (4.8) | 12 (4.9) | 14 (12.5) |
The summary ACE score is a composite measure consisting of the following eight ACE variables: (i) having lived most of childhood in a single natural mother family, (ii) ever lived in institutions providing residential care for children or with foster parents), (iii) separation from mother for ≥6 months at age ≤16 years, (iv) victim of serious physical attack/assault at age ≤16 years, (v) victim of sexual assault at age ≤16 years, (vi) physically abusive parents at age <16 years, (vii) parents with substance abuse or mental health problems at age <16 years and (viii) parents argued or fought very often at age <16 years.
Other/missing category has not been used in the calculation of the P-value.
On 1 January 2007, the Euro (€) to British Pound (£) exchange rate was: 1.48, and the US Dollar ($) to British Pound (£) exchange rate was: 1.96.
This category included 15 underweight women: BMI < 18.5 kg/m2.
Table II.
The associations between summary adverse childhood experience (ACE) score categories a and miscarriage risk b (N = 2795).
No miscarriage (reference category) | 1 miscarriage | ≥2 miscarriages | |
---|---|---|---|
Model A | |||
No ACE (reference category) | 1.00 | 1.00 | 1.00 |
One ACE | 1.00 | 0.90 (0.70–1.15) | 0.95 (0.64–1.42) |
Two ACEs | 1.00 | 0.84 (0.56–1.25) | 0.94 (0.51–1.76) |
≥3 ACEs | 1.00 | 2.20 (1.39–3.48)c | 3.21 (1.73–5.92)c |
Model B | |||
No ACE (reference category) | 1.00 | 1.00 | 1.00 |
One ACE | 1.00 | 0.88 (0.68–1.13) | 0.95 (0.63–1.42) |
Two ACEs | 1.00 | 0.79 (0.53–1.19) | 0.94 (0.50–1.78) |
≥3 ACEs | 1.00 | 2.00 (1.25–3.22)d | 3.10 (1.63–5.89)c |
Model C | |||
No ACE (reference category) | 1.00 | 1.00 | 1.00 |
One ACE | 1.00 | 0.86 (0.67–1.12) | 0.91 (0.60–1.38) |
Two ACEs | 1.00 | 0.79 (0.52–1.19) | 0.93 (0.49–1.76) |
≥3 ACEs | 1.00 | 1.96 (1.20–3.20)d | 2.95 (1.52–5.74)c |
Model A is the unadjusted association.
Model B is adjusted for generation/cohort category (10-year age cohort groups), age at menarche (≤10, 11, 12, 13, 14, 15, ≥16 years) and childhood socioeconomic position (experience of severe financial crisis at age ≤16 years, paternal or main carer’s occupational class at age 14 years, number of books in the household at age 10 years).
Model C is further adjusted for parity (0, 1, 2, ≥3 biological children), adult socioeconomic position (education and total net household wealth), smoking history (never a smoker, ex-smoker, current smoker), BMI (<25, 25 to <30 and ≥30 kg/m2) and waist circumference (<80, 80–87 and ≥88 cm).
The summary ACE score is a composite measure consisting of the following eight ACE variables: (i) having lived most of childhood in a single natural mother family, (ii) ever lived in institutions providing residential care for children or with foster parents), (iii) separation from mother for ≥6 months at age ≤16 years, (iv) victim of serious physical attack/assault at age ≤16 years, (v) victim of sexual assault at age ≤16 years, (vi) physically abusive parents at age <16 years, (vii) parents with substance abuse or mental health problems at age <16 years and (viii) parents argued or fought very often at age <16 years.
The estimates are relative risk ratios (95% CI) and denote the probability of miscarriage in different ACE categories compared with women who reported no ACE (reference category).
P ≤ 0.001.
P ≤ 0.05.
Table III.
The associations between individual adverse childhood experience (ACE) variables and miscarriage risk a (N = 2795).
No miscarriage (reference category) | 1 miscarriage | ≥2 miscarriages | |
---|---|---|---|
Sexual assault at age ≤16 years | |||
No/missing (reference category) | 1.00 | 1.00 | 1.00 |
Yes | 1.00 | 1.31 (0.79–2.18) | 2.10 (1.10–4.03)b |
Physical attack/assault at age ≤16 years | |||
No/missing (reference category) | 1.00 | 1.00 | 1.00 |
Yes | 1.00 | 3.35 (1.36–8.23)b | 8.22 (3.12–21.65)c |
Physically abusive parents at age <16 years | |||
No/missing (reference category) | 1.00 | 1.00 | 1.00 |
Yes | 1.00 | 1.34 (0.77–2.33) | 2.59 (1.31–5.11)b |
Spent most of childhood in a single natural mother family | |||
No/missing (reference category) | 1.00 | 1.00 | 1.00 |
Yes | 1.00 | 1.09 (0.70–1.70) | 0.97 (0.46–2.06) |
Ever lived in institutions providing residential care for children or with foster parents | |||
No/missing (reference category) | 1.00 | 1.00 | 1.00 |
Yes | 1.00 | 0.66 (0.32–1.35) | 1.35 (0.56–3.23) |
Separation from mother for ≥6 months at age ≤16 years | |||
No/missing (reference category) | 1.00 | 1.00 | 1.00 |
Yes | 1.00 | 1.15 (0.86–1.54) | 1.39 (0.88–2.19) |
Parental mental health or substance abuse problems at age <16 years | |||
No/missing (reference category) | 1.00 | 1.00 | 1.00 |
Yes | 1.00 | 1.17 (0.76–1.79) | 1.06 (0.54–2.11) |
Parents argue/fight very often when respondent aged <16 years | |||
No/missing (reference category) | 1.00 | 1.00 | 1.00 |
Yes | 1.00 | 1.08 (0.83–1.41) | 1.23 (0.82–1.84) |
All models are adjusted for generation/cohort category (10-year age cohort groups), age at menarche (≤10, 11, 12, 13, 14, 15, ≥16 years) and childhood socioeconomic position (experience of severe financial crisis at age ≤16 years, paternal or main carer’s occupational class at age 14 years and number of books in the household at age 10 years).
The estimates are relative risk ratios (95% CI) and denote the probability of miscarriage in women in different ACE categories compared with women who reported no ACE (reference category).
P ≤ 0.05.
P ≤ 0.001.
Results
Women with multiple ACE were more likely to be younger, of lower SEP both in childhood and adulthood, and either childless or with ≥3 biological children. They were also more likely to have a history of smoking and early (≤10 years) or late menarche (≥16 years) (Table I).
The summary ACE score was positively associated with the risk of miscarriage. Compared with women with no ACE, those with ≥3 ACE were two times more likely to experience a single miscarriage in their lifetime and more than three times more likely to experience recurrent miscarriages (Table II). Adjustment for childhood confounders explained a relatively small part of the association. Further adjustment for adult SEP also explained a small part of the association, but adjustment for unhealthy behaviours did not affect it. Regarding individual ACE variables, it was experiences of physical and sexual abuse that were associated with increased risk of miscarriage (Table III). Long-term separation from mother was also associated with increased risk of recurrent miscarriages, but this association did not reach statistical significance.
Discussion
Principal findings
In a national sample of English postmenopausal women, we found significant associations between experiences of psychosocial adversity in childhood and the risk of miscarriage. Women with ≥3 ACE and those physically abused in childhood had considerably increased risk for single and recurrent miscarriage, whereas the risk for recurrent miscarriage was also increased for those who were sexually abused in childhood.
Previous evidence
Only a few previous studies examined the association between ACE and miscarriages (Hillis et al., 2004; Abajobir et al., 2018; Li et al., 2018). A study of 2106 US women in mid-pregnancy (16th–27th weeks) reported inconsistent findings (Li et al., 2018). They found a positive association between own or family substance abuse in childhood and the risk of miscarriage but failed to find an association between a cumulative (childhood and adulthood) adversity score and miscarriage. They also did not find any association between childhood abuse and loss of someone close including parental loss and miscarriage. Another US study found a positive association between the ACE score and the risk of foetal death (miscarriage or stillbirth) in 9159 women aged >18 years (mean age: 56 years) who attended a primary care clinic in California (Hillis et al., 2004). Finally, a study of 1980 Australian young women (mean age: 20.6 years) also reported positive associations between neglect and physical, sexual and emotional abuse and the risk of miscarriage (Abajobir et al., 2018). The discrepancy between the findings reported by Li et al. (2018) and those from other studies including ours is likely to be related to methodological differences. Li et al. (2018) used a selected sample of women in mid-pregnancy that was recruited from multiple clinics over a long period of time. They also examined childhood and adult adversities in combination.
Strengths and limitations
Our study covered an important gap in the literature. Previous studies analysed regional samples in USA and Australia, and there is an absence of evidence on the association between ACE and the risk of miscarriage in UK. The use of ELSA, which is a well-characterized nationally representative study, added strength to our study making our findings more generalizable to the general population of women. The excellent characterization of childhood and adult SEP helped us disentangle the effect of psychosocial adversity on the risk of miscarriage from that of material disadvantage. The use of a standard set of ACE items facilitated the replication of our work by future research.
A weakness of our study is the use of retrospectively measured ACE and miscarriage data. Retrospectively measured ACEs are known to be susceptible to measurement bias (Hardt and Rutter, 2004). Nevertheless, two of our ACE measures (parental separation and having lived in institutional care) have been compared with prospectively collected data and found to have good validity (Jivraj et al., 2017). On the understanding that our study may have misclassified cases of ACE, it is possible that our findings underestimate the magnitude of the association between ACE and miscarriage and are a conservative account of it. In addition, we measured sexual and physical abuse using two victimization questions (ever been a victim of sexual or physical assault) that were not well-defined and thus potentially susceptible to reporting bias. The same applies to the measure of physical abuse by parents; it was not based on a clear definition of physical abuse.
In relation to miscarriage measurement, we did not have access to medical records that might be used to ascertain reports of pregnancy and miscarriage. Nevertheless, our miscarriage data appear to be relatively valid as they are directly comparable to the UK national estimate of miscarriages occurring in one in five pregnancies (National Institute for Health and Care Excellence, 2019).
Another potential limitation of our work is the use of data from a sample of older women that were no longer able to reproduce. This might have affected the applicability of our findings to younger generations of women. However, we strongly believe that the biological plausibility and strength of the observed association make this generational mismatch a minor disadvantage of our work.
The decrease in reported ACE with age is not surprising. Older people tend to assess their autobiographical memories more positively. This phenomenon is known as the age-related positivity effect (Reed and Carstensen, 2012). Additional analyses, where we excluded women born before 1927 (aged > 80 years), confirmed that the positivity effect did not bias our findings (see Supplementary Table SII).
As with most observational studies, it was impossible to account for all potential confounders and eliminate the possibility of spurious associations. Nevertheless, we were able to confirm that potentially confounding factors such as childhood SEP and age at menarche did not explain our findings. In the same vein, we did not have data to explore important pathways such as prenatal care and pregnancy-related social and psychological factors (Leeners et al., 2013, 2014). We also lacked biological and physiological data necessary to explore stress-related neuroendocrine and immunological pathways.
Non-response is potentially another source of bias. The overall individual response rate in ELSA wave 3 (after excluding people who died, became institutionalized or migrated) was 73%, with no noticeable gender differences. Eighty-four per cent of responders in ELSA wave 3 participated in the ELSA Life History in 2007 (Scholes et al., 2009), but not all participants completed the childhood adversity questionnaire.
Possible mechanisms for the findings
Evidence highlights the role of advanced maternal age (≥40 years) as a major risk factor for miscarriage (Feodor Nilsson et al., 2014; Magnus et al., 2019). It is unlikely though that advanced maternal age can explain our findings as most cases (89.8%) in our study experienced their first miscarriage at age ≤35 years.
Childhood socioeconomic disadvantage, in the form of severe financial hardship in childhood, was the only childhood factor that explained a part of the association. The lack of a major confounding role of childhood SEP in the association likely signifies that this association was to a large extent psychosocial in nature and not directly related to one’s socioeconomic situation in childhood. This conclusion is corroborated by findings indicating that adult SEP also explained a small part of the association.
Unhealthy behaviours before and during pregnancy are good candidate pathways for explaining the observed associations (Boots and Stephenson, 2011; Feodor Nilsson et al., 2014; Pineles et al., 2014; Cavalcante et al., 2019). We lacked lifetime information on obesity and alcohol and thus could not assess their mediating effect on the examined associations. Assuming that adult obesity is likely to be related to obesity at earlier stages of the life course, we included in our models current BMI and waist circumference, but neither of these measures affected the associations. The same applied to smoking history; it did not explain any part of the association.
Given the potency of childhood psychosocial adversity as a stressor, the systematic effect of chronic childhood stress on the developing brain (Gunnar and Quevedo, 2007; Lupien et al., 2009) and subsequent dysregulation of the neuroendocrine and immune systems (Hunter et al., 2011; Slopen et al., 2012; Chiang et al., 2015; Elwenspoek et al., 2017; Khoury et al., 2019), we also hypothesized that ACE could be directly related with miscarriage risk via biological pathways. The existence of a direct biological effect is all the more plausible given the association of ACE and childhood experiences of poor-quality parenting with reproduction-related outcomes including age at menarche (Li et al., 2014; Yermachenko and Dvornyk, 2014; Magnus et al., 2018; Demakakos et al., 2019) and a shorter reproductive lifespan and premature/early menopause (Demakakos et al., 2019). Based on this evidence and evidence highlighting the importance of hormonal and immune factors for reproduction and a healthy pregnancy, we hypothesized that endocrine and inflammation pathways likely mediate the observed association.
Regarding inflammation, an uncomplicated pregnancy is considered to be a state of low-grade inflammation and intravascular coagulation (Cotechini and Graham, 2015). Systematic and local inflammation imbalances can affect key pregnancy processes such as embryo implantation, spiral artery remodelling, uteroplacental perfusion, as well as the immunological tolerance of the pregnancy, and increase the risk of adverse pregnancy outcomes including miscarriage (Christiansen et al., 2008; Cotechini and Graham, 2015). Systematically increased levels of pro-inflammatory cytokines such as the tumour necrosis factor and some of the interleukins such as interleukin 6 appear to play a key role in pathogenic processes leading to placental insufficiency and increased risk of miscarriage (Calleja-Agius et al., 2009; Prins et al., 2012; Cotechini and Graham, 2015). Childhood adversity is known to be associated with increased levels of pro-inflammatory cytokines in adulthood, especially tumour necrosis factor-a (Baumeister et al., 2015). Another potentially relevant immunological parameter are autoimmune diseases, which are known to be associated with both increased risk of miscarriage (Christiansen et al., 2008) and ACE (Dube et al., 2009).
Experiences of psychosocial adversity in childhood and subsequent dysregulation of the stress response can also affect the endocrine milieu of early pregnancy (Moog et al., 2016; Thomas et al., 2018). Elevated levels of cortisol likely alter the decidual and placental metabolism and threaten the immunological tolerance of the pregnancy (Parker and Douglas, 2010). Moreover, chronic stress and the activation of HPA exert an inhibitory effect on the hypothalamic–pituitary–ovaries axis, which will result in a suppression of the luteinizing hormone (Valsamakis et al., 2019), and subsequently in the suppression of progesterone production by corpus luteum (Parker and Douglas, 2010). Chronic stress might also affect the dopamine-prolactin system and alter prolactin levels (Qu et al., 2017). Lower levels of prolactin are associated with an increased risk of miscarriage (Li et al., 2013). Hypothyroidism, and its common cause, thyroid autoimmunity are known to be related to increased risk of miscarriage (Thangaratinam et al., 2011; Seungdamrong, 2016). Experiences of childhood maltreatment are associated with altered thyroid function in adolescents (Machado et al., 2015) and subclinical hypothyroidism in pregnant women (Moog et al., 2017).
Conclusions
Miscarriage, especially when recurrent, is likely multifactorial. Our findings link unfavourable childhood circumstances and childhood psychosocial adversity with increased risk of single and recurrent miscarriages. They contribute to a better understanding of the pathogenic processes leading to miscarriage over the life course but should be used with caution as our study was observational and the observed associations are not necessarily causal. Given the potency of ACE, as a chronic stressor, and its effect on human development, we postulate that experiences of psychosocial adversity qualify to be a factor that increases the risk of miscarriage via a number of pathways including biological and behavioural ones. Our findings can be used to inform prevention strategies and potentially improve clinical practice through a better identification of women at increased risk for recurrent miscarriages. Awareness of the importance of childhood trauma and a trauma-informed care approach may contribute to the provision of more effective health services to pregnant women and those undergoing fertility treatment. More researches on the association between ACEs and miscarriage risk are needed.
Authors’ roles
P.D. conceived and designed the study, had substantial contributions to the analysis and interpretation of the data, drafted the article and approved of the final version to be published. E.L.D. and G.D.M. had substantial contributions to the analysis and interpretation of the data, revised the article critically for important intellectual content article and approved of the final version to be published.
Funding
The English Longitudinal Study of Ageing (ELSA) is currently funded by the National Institute of Aging (R01AG017644), and a consortium of the UK government departments coordinated by the National Institute for Health Research. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the article.
Conflict of interest
None declared.
Supplementary Material
References
- Abajobir AA, Kisely S, Williams G, Strathearn L, Najman JM.. Risky sexual behaviors and pregnancy outcomes in young adulthood following substantiated childhood maltreatment: findings from a prospective birth cohort study. J Sex Res 2018;55:106–119. [DOI] [PubMed] [Google Scholar]
- Baumeister D, Akhtar R, Ciufolini S, Pariante CM, Mondelli V.. Childhood trauma and adulthood inflammation: a meta-analysis of peripheral C-reactive protein, interleukin-6 and tumour necrosis factor-α. Mol Psychiatry 2015;21:642–649. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boots C, Stephenson M.. Does obesity increase the risk of miscarriage in spontaneous conception: a systematic review. Semin Reprod Med 2011;29:507–513. [DOI] [PubMed] [Google Scholar]
- Calleja-Agius J, Muttukrishna S, Jauniaux E.. Role of TNF-α in human female reproduction. Expert Rev Endocrinol Metab 2009;4:273–282. [DOI] [PubMed] [Google Scholar]
- Cammack AL, Hogue CJ, Drews-Botsch CD, Kramer MR, Pearce BD.. Associations between maternal exposure to child abuse, preterm birth, and very preterm birth in young, nulliparous women. Matern Child Health J 2019;23:847–857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cavalcante MB, Sarno M, Peixoto AB, Araujo Júnior E, Barini R.. Obesity and recurrent miscarriage: a systematic review and meta-analysis. J Obstet Gynaecol Res 2019;45:30–38. [DOI] [PubMed] [Google Scholar]
- Chiang JJ, Taylor SE, Bower JE.. Early adversity, neural development, and inflammation. Dev Psychobiol 2015;57:887–907. [DOI] [PubMed] [Google Scholar]
- Christiansen OB, Steffensen R, Nielsen HS, Varming K.. Multifactorial etiology of recurrent miscarriage and its scientific and clinical implications. Gynecol Obstet Invest 2008;66:257–267. [DOI] [PubMed] [Google Scholar]
- Cotechini T, Graham CH.. Aberrant maternal inflammation as a cause of pregnancy complications: a potential therapeutic target? Placenta 2015;36:960–966. [DOI] [PubMed] [Google Scholar]
- Cronholm PF, Forke CM, Wade R, Bair-Merritt MH, Davis M,, Harkins-Schwarz M, Pachter LM, Fein JA.. Adverse childhood experiences: expanding the concept of adversity. Am J Prev Med 2015;49:354–361. [DOI] [PubMed] [Google Scholar]
- Demakakos P, Pashayan N, Chrousos G, Linara-Demakakou E, Mishra GD.. Childhood experiences of parenting and age at menarche, age at menopause and duration of reproductive lifespan: evidence from the English Longitudinal Study of Ageing. Maturitas 2019;122:66–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dietz PM, Spitz AM, Anda RF, Williamson DF, McMahon PM, Santelli JS, Nordenberg DF, Felitti VJ, Kendrick JS.. Unintended pregnancy among adult women exposed to abuse or household dysfunction during their childhood. JAMA 1999;282:1359. [DOI] [PubMed] [Google Scholar]
- Dube SR,, Fairweather D, Pearson WS, Felitti VJ, Anda RF, Croft JB.. Cumulative childhood stress and autoimmune diseases in adults. Psychosom Med 2009;71:243–250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Elwenspoek MMC, Kuehn A, Muller CP, Turner JD.. The effects of early life adversity on the immune system. Psychoneuroendocrinology 2017;82:140–154. [DOI] [PubMed] [Google Scholar]
- ESHRE Guideline Group on RPL, Bender Atik R, Christiansen OB, Elson J, Kolte AM, Lewis S, Middeldorp S, Nelen W, Peramo B, Quenby S, Vermeulen N, et al. ESHRE guideline: recurrent pregnancy loss. Hum Reprod Open 2018;2018:hoy004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Felitti VJ, Anda RF, Nordenberg D, Williamson DF, Spitz AM, Edwards V, Koss MP, Marks JS.. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults. Am J Prev Med 1998;14:245–258. [DOI] [PubMed] [Google Scholar]
- Feodor Nilsson S, Andersen P, Strandberg-Larsen K, Nybo Andersen A-M.. Risk factors for miscarriage from a prevention perspective: a nationwide follow-up study. BJOG An Int J Obstet Gynaecol 2014;121:1375–1385. [DOI] [PubMed] [Google Scholar]
- Gazzuola Rocca L, Smith CY, Grossardt BR, Faubion SS,, Shuster LT, Stewart EA, Rocca WA.. Adverse childhood or adult experiences and risk of bilateral oophorectomy: a population-based case–control study. BMJ Open 2017;7:e016045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gunnar M, Quevedo K.. The neurobiology of stress and development. Annu Rev Psychol 2007;58:145–173. [DOI] [PubMed] [Google Scholar]
- Hardt J, Rutter M.. Validity of adult retrospective reports of adverse childhood experiences: review of the evidence. J Child Psychol Psychiatry 2004;45:260–273. [DOI] [PubMed] [Google Scholar]
- Hillis SD, Anda RF, Dube SR,, Felitti VJ, Marchbanks PA, Marks JS.. The association between adverse childhood experiences and adolescent pregnancy, long-term psychosocial consequences, and fetal death. Pediatrics 2004;113:320–327. [DOI] [PubMed] [Google Scholar]
- Hughes K, Bellis MA, Hardcastle KA, Sethi D, Butchart A, Mikton C, Jones L, Dunne MP.. The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis. Lancet Public Heal 2017;2:e356–e366. [DOI] [PubMed] [Google Scholar]
- Hunter AL, Minnis H, Wilson P.. Altered stress responses in children exposed to early adversity: a systematic review of salivary cortisol studies. Stress 2011;14:614–626. [DOI] [PubMed] [Google Scholar]
- Jayasena CN, Radia UK, Figueiredo M, Revill LF, Dimakopoulou A, Osagie M, Vessey W, Regan L, Rai R, Dhillo WS.. Reduced testicular steroidogenesis and increased semen oxidative stress in male partners as novel markers of recurrent miscarriage. Clin Chem 2019;65:161–169. [DOI] [PubMed] [Google Scholar]
- Jivraj S, Goodman A, Ploubidis GB, Oliveira C. de. Testing comparability between retrospective life history data and prospective birth cohort study data. J Gerontol B Psychol Sci Soc Sci 2020;75:207‐217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Khoury JE, Bosquet Enlow M, Plamondon A, Lyons-Ruth K.. The association between adversity and hair cortisol levels in humans: a meta-analysis. Psychoneuroendocrinology 2019;103:104–117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leeners B, Rath W, Block E, Görres G, Tschudin S.. Risk factors for unfavorable pregnancy outcome in women with adverse childhood experiences. J Perinat Med 2014;42:171–178. [DOI] [PubMed] [Google Scholar]
- Leeners B, Stiller R, Block E, Görres G, Rath W.. Pregnancy complications in women with childhood sexual abuse experiences. J Psychosom Res 2010;69:503–510. [DOI] [PubMed] [Google Scholar]
- Leeners B, Stiller R, Block E, Gorres G, Rath W, Tschudin S.. Prenatal care in adult women exposed to childhood sexual abuse. J Perinat Med 2013;41:365–374. [DOI] [PubMed] [Google Scholar]
- Li L, Denholm R, Power C.. Child maltreatment and household dysfunction: associations with pubertal development in a British birth cohort. Int J Epidemiol 2014;43:1163–1173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li W, Ma N, Laird SM, Ledger WL, Li TC.. The relationship between serum prolactin concentration and pregnancy outcome in women with unexplained recurrent miscarriage. J Obstet Gynaecol 2013;33:285–288. [DOI] [PubMed] [Google Scholar]
- Li Y, Margerison-Zilko C, Strutz KL, Holzman C.. Life course adversity and prior miscarriage in a pregnancy cohort. Women’s Heal Issues 2018;28:232–238. [DOI] [PubMed] [Google Scholar]
- Liu C, Vinnerljung B, Östberg V, Gauffin K, Juarez S, Cnattingius S, Hjern A.. Out-of-home care and subsequent preterm delivery: an intergenerational cohort study. Pediatrics 2018;142:e20172729. [DOI] [PubMed] [Google Scholar]
- Lupien SJ, McEwen BS, Gunnar MR, Heim C.. Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat Rev Neurosci 2009;10:434–445. [DOI] [PubMed] [Google Scholar]
- Machado TD, Salum GA, Bosa VL, Goldani MZ, Meaney MJ, Agranonik M, Manfro GG, Silveira PP.. Early life trauma is associated with decreased peripheral levels of thyroid-hormone T3 in adolescents. Int J Dev Neurosci 2015;47:304–308. [DOI] [PubMed] [Google Scholar]
- Maconochie N, Doyle P, Prior S, Simmons R.. Risk factors for first trimester miscarriage-results from a UK-population-based case-control study. BJOG 2007;114:170–186. [DOI] [PubMed] [Google Scholar]
- Madigan S, Wade M, Tarabulsy G, Jenkins JM, Shouldice M.. Association between abuse history and adolescent pregnancy: a meta-analysis. J Adolesc Heal 2014;55:151–159. [DOI] [PubMed] [Google Scholar]
- Magnus MC, Anderson EL, Howe LD, Joinson CJ, Penton-Voak IS, Fraser A.. Childhood psychosocial adversity and female reproductive timing: a cohort study of the ALSPAC mothers. J Epidemiol Community Health 2018;72:34–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Magnus MC, Wilcox AJ, Morken N-H, Weinberg CR, Håberg SE.. Role of maternal age and pregnancy history in risk of miscarriage: prospective register based study. BMJ 2019;364:l869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moog NK, Buss C, Entringer S, Shahbaba B, Gillen DL, Hobel CJ, Wadhwa PD.. Maternal exposure to childhood trauma is associated during pregnancy with placental-fetal stress physiology. Biol Psychiatry 2016;79:831–839. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moog NK, Heim CM, Entringer S, Kathmann N, Wadhwa PD, Buss C.. Childhood maltreatment is associated with increased risk of subclinical hypothyroidism in pregnancy. Psychoneuroendocrinology 2017;84:190–196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- National Institute for Health and Care Excellence (NICE). Ectopic Pregnancy and Miscarriage: Diagnosis and Initial Management | NICE Guideline [NG126] NICE Guidelines.2019. https://www.nice.org.uk/guidance/ng126/informationforpublic (25 May 2020, date last accessed). [PubMed]
- Parker VJ, Douglas AJ.. Stress in early pregnancy: maternal neuro-endocrine-immune responses and effects. J Reprod Immunol 2010;85:86–92. [DOI] [PubMed] [Google Scholar]
- Pineles BL, Park E, Samet JM.. Systematic review and meta-analysis of miscarriage and maternal exposure to tobacco smoke during pregnancy. Am J Epidemiol 2014;179:807–823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Prins JR, Gomez-Lopez N, Robertson SA.. Interleukin-6 in pregnancy and gestational disorders. J Reprod Immunol 2012;95:1–14. [DOI] [PubMed] [Google Scholar]
- Reed AE, Carstensen LL.. The theory behind the age-related positivity effect. Front Psychol 2012;3:339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Qu F, Wu Y, Zhu Y-H, Barry J, Ding T, Baio G, Muscat R, Todd BK, Wang F-F, Hardiman PJ.. The association between psychological stress and miscarriage: a systematic review and meta-analysis. Sci Rep 2017;7:1731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Saravelos SH, Li T-C.. Unexplained recurrent miscarriage: how can we explain it? Hum Reprod 2012;27:1882–1886. [DOI] [PubMed] [Google Scholar]
- Scholes S, Medina J, Cheshire H, Cox K, Hacker E, Carli L. Living in the 21st century: older people in England. The 2006 English Longitudinal Study of Ageing. Technical report 2009. http://doc.ukdataservice.ac.uk/doc/5050/mrdoc/pdf/5050_Wave_3_Technical_Report.pdf. (25 May 2020, date last accessed).
- Selk SC, Rich-Edwards JW, Koenen K, Kubzansky LD.. An observational study of type, timing, and severity of childhood maltreatment and preterm birth. J Epidemiol Community Health 2016;70:589–595. [DOI] [PubMed] [Google Scholar]
- Seungdamrong A. The impact and management of subclinical hypothyroidism for improving reproductive outcomes such as fertility and miscarriage. Semin Reprod Med 2016;34:331–336. [DOI] [PubMed] [Google Scholar]
- Slopen N, Koenen KC, Kubzansky LD.. Childhood adversity and immune and inflammatory biomarkers associated with cardiovascular risk in youth: a systematic review. Brain Behav Immun 2012;26:239–250. [DOI] [PubMed] [Google Scholar]
- Smith MV, Gotman N, Yonkers KA.. Early childhood adversity and pregnancy outcomes. Matern Child Health J 2016;20:790–798. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smith P, Dhillon‐Smith R, O’Toole E, Cooper N, Coomarasamy A, Clark T.. Outcomes in prevention and management of miscarriage trials: a systematic review. BJOG 2019;126:176. [DOI] [PubMed] [Google Scholar]
- Thangaratinam S, Tan A, Knox E, Kilby MD, Franklyn J, Coomarasamy A.. Association between thyroid autoantibodies and miscarriage and preterm birth: meta-analysis of evidence. BMJ 2011;342:d2616. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thomas JC, Magel C, Tomfohr-Madsen L, Madigan S, Letourneau N, Campbell TS, Giesbrecht GF.. Adverse childhood experiences and HPA axis function in pregnant women. Horm Behav 2018;102:10–22. [DOI] [PubMed] [Google Scholar]
- Tur-Torres MH, Garrido-Gimenez C, Alijotas-Reig J.. Genetics of recurrent miscarriage and fetal loss. Best Pract Res Clin Obstet Gynaecol 2017;42:11–25. [DOI] [PubMed] [Google Scholar]
- Valsamakis G, Chrousos G, Mastorakos G.. Stress, female reproduction and pregnancy. Psychoneuroendocrinology 2019;100:48–57. [DOI] [PubMed] [Google Scholar]
- Wade R, Shea JA, Rubin D, Wood J.. Adverse childhood experiences of low-income urban youth. Pediatrics 2014;134:e13–e20. [DOI] [PubMed] [Google Scholar]
- Wosu AC, Gelaye B, Williams MA.. Maternal history of childhood sexual abuse and preterm birth: an epidemiologic review. BMC Pregnancy Childbirth 2015;15:174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yermachenko A, Dvornyk V.. Nongenetic determinants of age at menarche: a systematic review. Biomed Res Int 2014;2014:371583. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.