
Christchurch Health and Development Study, University of Otago, Christchurch School of Medicine and Health Sciences, New Zealand
Correspondence: Professor David M. Fergusson, Christchurch Healthnd Development Study, University of Otago, Christchurch School of Medicine and Health Sciences, PO Box 4345, Christchurch, New Zealand. Email: dm.fergusson{at}otago.ac.nz
None. Funding detailed in Acknowledgements.
See invited commentaries, pp.
452–454 this
issue. ![]()
|
|
|---|
Research on the links between abortion and mental health has been limited by design problems and relatively weak evidence.
Aims
To examine the links between pregnancy outcomes and mental health outcomes.
Method
Data were gathered on the pregnancy and mental health history of a birth cohort of over 500 women studied to the age of 30.
Results
After adjustment for confounding, abortion was associated with a small increase in the risk of mental disorders; women who had had abortions had rates of mental disorder that were about 30% higher. There were no consistent associations between other pregnancy outcomes and mental health. Estimates of attributable risk indicated that exposure to abortion accounted for 1.5% to 5.5% of the overall rate of mental disorders.
Conclusions
The evidence is consistent with the view that abortion may be associated with a small increase in risk of mental disorders. Other pregnancy outcomes were not related to increased risk of mental health problems.
|
|
|---|
In this paper we report an analysis of data from a 30-year longitudinal study in which we seek to examine the extent to which variations in pregnancy outcomes, including induced abortion, live birth and pregnancy loss, are associated with increased (or decreased) risks of a range of common mental health problems (major depression, anxiety disorders, suicidal ideation, alcohol dependence and illicit drug dependence). This analysis is an extension of an earlier study8 that examined the links between abortion and mental health in the same birth cohort.
|
|
|---|
Pregnancy and abortion (15–30 years)
At each assessment from age 15 to 30 years participants were questioned
about any pregnancies occurring since the previous assessment, and the timing
and outcome of each reported pregnancy was recorded. Participants were also
questioned about their reaction to each pregnancy and the extent to which this
had caused them to be upset or distressed. At age 30, as a check on the
accuracy of the prospectively gathered pregnancy data, all participants were
asked to provide a summary of their full pregnancy history. As well as
information on timing and outcome, participants were also questioned about
whether the pregnancy was wanted or unwanted, and their initial reaction to
the pregnancy at the time. Initial reactions were coded on a 5-point scale
from very happy to very unhappy/distressed. Comparison of the prospective and
retrospective reports of pregnancy history showed that for just under 90% of
women the two reports were in agreement.
For the purposes of the present analysis the measures of pregnancy history were defined using a combination of both prospective and retrospective reports. Using the information on timing and outcome for each reported pregnancy, the womans pregnancy history for any given period of interest was classified using four dichotomous measures of pregnancy outcomes.
Based on the combined report data, 284 women (53% of the cohort) reported a total of 686 pregnancies before age 30. These pregnancies included a total of 153 abortions (occurring to 117 women), 138 pregnancy losses (n=95), 66 live births (n=52) that resulted from an unwanted pregnancy or one that provoked an adverse reaction, and 329 live births (n=197) resulting from a pregnancy for which there was no reported adverse reaction.
Mental health (15–30 years)
At each assessment from age 16 to 30 years, participants were questioned
about mental health issues since the previous assessment using structured
questionnaires based on the Diagnostic Interview Schedule for Children
(DISC)23 at age 16
years and the Composite International Diagnostic
Interview24 at ages
18–30 years, supplemented by additional measures. From this questioning
it was possible to ascertain the proportion of young women who met
DSM–IV25
diagnostic criteria for the following disorders during the intervals
15–18, 18–21, 21–25 and 25–30 years: major depression,
anxiety disorders (including generalised anxiety, panic disorder, agoraphobia,
social phobia and specific phobia), alcohol dependence and illicit drug
dependence. In addition, measures of DSM–IV disorders were supplemented
by measures of self-reported suicidal ideation. Finally, to provide an overall
measure of the burden of mental disorder, the individual measures were summed
to obtain a count of the number of mental health problems reported for each
interval.
Covariate factors
Measures of childhood socio-economic circumstances
Maternal and paternal education levels were assessed at the time of the
cohort members birth using a 3-point scale (no formal qualifications,
secondary qualifications, tertiary qualifications). Family socio-economic
status was assessed at birth using the Elley–Irving revised index of
socio-economic status for New
Zealand.26 Family
living standards were assessed on the basis of an interviewer rating at each
interview from birth to age 10 years. Ratings were made on a 5-point scale
from very good to very poor. These ratings were averaged over the 10-year
period to provide an overall measure of the familys average living
standard during this period. At each assessment from age 1 to 10 years,
estimates were obtained of the familys gross annual income for the past
12 months.
Measures of parental adjustment/family functioning
Using detailed information on patterns of family change gathered over the
interval from birth to 15 years, a measure of family instability was
constructed on the basis of a count of the number of changes of parents
experienced by the child by age 15. At age 18, participants were questioned
using items from the Conflict Tactics
Scale27 concerning
incidents of inter-parental violence that they may have witnessed during
childhood (<16 years). These items were combined to provide an overall
measure of the extent of inter-parental
violence.28 The
reliability of this scale was
=0.88.
When participants were aged 11 years, parents were questioned about their
own history of illicit drug use. When participants were aged 15 years, parents
were further questioned about their history of mental health problems,
problems with alcohol, and involvement in criminal offending. These reports
were used to classify participants on four dichotomous measures reflecting
whether any parent had a reported history of illicit drug use, mental health
problems, alcohol problems or criminality respectively. The quality of
parental–child attachment in adolescence was assessed at age 15 years
using the Armsden &
Greenberg29 scale
of parental attachment (
=0.87).
Measures of exposure to child abuse
At age 18 and 21 years, participants were questioned about their experience
of sexual abuse in childhood (<16
years).30
Individuals were classified as having experienced childhood sexual abuse if
they reported at either age 18 or 21 any episode of abuse involving physical
contact with a perpetrator. Participants were also questioned at age 18 and 21
years about the extent, on a 5-point
scale,31 to which
their parents used physical punishment during childhood (<16 years).
Individuals were classified as having experienced physical child abuse if they
reported at either age 18 or 21 that at least one parent had regularly used
physical punishment, had used physical punishment too often or too severely,
or had treated them in a harsh and abusive manner.
Measures of individual characteristics and educational achievement
Child neuroticism was assessed at age 14 years using a short-form version
of the neuroticism scale of the Eysenck Personality
Inventory.32 The
reliability of this scale was
=0.80. Child self-esteem was assessed at
age 15 years using the Coopersmith Self-Esteem
Inventory.33 The
reliability of this scale was
=0.87. Child novelty-seeking was assessed
at age 16 years using the novelty-seeking scale of the Tridimensional
Personality
Inventory.34 The
reliability of this scale was
=0.76. At age 7, 8 and 9 years, the
extent to which participants exhibited tendencies to conduct disordered and
oppositional behaviours was assessed using a scale that combined items from
the Rutter35 and
Conners36,37
child behaviour rating scales. Separate ratings were obtained from the
childs parent and class teacher. Parent and teacher ratings were summed
for each year and then averaged over the interval from 7 to 9 years to provide
a robust measure of the childs tendencies to conduct problems. The
reliability of the resulting scale was
=0.97. Child IQ was assessed at
age 8 years using the revised Wechsler Intelligence Scale for
Children.38 The
split half reliability of this scale was 0.93.
At each assessment from age 11 to 13 years, the childs class teacher
was asked to rate the childs performance in each of the five areas of
the curriculum (reading, handwriting, written expression, spelling,
mathematics) using a 5-point scale ranging from 1=very good to 5=very poor. To
provide a global measure of the childs educational achievement over the
interval from 11 to 13 years, the teacher ratings were summed across years and
curriculum areas and then averaged to provide a teacher-rating grade point
average for each child. The reliability of this measure was
=0.96.
Measures of adolescent adjustment
At age 18, participants were questioned about their sexual behaviours,
including the age of first intercourse. Young women who reported that they had
first had sex before age 16 were classified as having early sexual onset.
At age 15, participants were questioned about their use of tobacco, alcohol and cannabis. Tobacco use was assessed on the basis of a 5-point scale reflecting the current frequency of cigarette smoking at age 15. This scale ranged from non-smoker through to daily smoker. The frequency of alcohol use in the past 12 months was assessed using a 6-point scale that ranged from never to almost every day. In addition, a dichotomous measure of cannabis use was created based on the young persons report of use in the past 12 months.
At age 15, young people were administered a mental health interview that combined components of DISC23 and other measures to assess a range of DSM–III–R39 disorders in the cohort over the previous 12 months. This information was used to construct DSM–III–R diagnoses of major depression and anxiety disorders, including overanxious disorder, generalised anxiety disorder, social phobia and simple phobia. In addition, individuals were also questioned about the frequency of suicidal thoughts in the previous 12 months.
Time-dynamic lifestyle and other factors
At each assessment from age 18 onwards, participants were questioned about
aspects of their living arrangements since the previous assessment including:
(a) living with parents and age of leaving the family home; and (b) entry into
cohabiting relationships. In addition, participants were questioned about
other adverse life events occurring in each year since the previous assessment
using a life-event checklist based on the Feeling Bad
Scale.40 This
information was used to classify participants on four measures reflecting the
extent of exposure to employment problems, partner relationship problems,
serious illness or death in the family, and sexual or physical violence
victimisation within any given interval. Finally, to control for the changing
history of prior mental health, a lagged measure of the number of mental
health problems observed in the previous assessment period was also
considered.
Statistical analysis
The associations (risk ratios) between pregnancy history and mental health
at ages 15–18, 18–21, 21–25 and 25–30 years (online
Table DS1) were estimated by fitting random-effects models to the
repeated-measures data for each outcome and each measure of pregnancy history
(abortion, pregnancy loss, live birth with adverse reaction, other live
birth). For dichotomous outcomes (depression, anxiety, suicidal ideation,
substance dependence) logistic regression models were fitted, whereas for the
count of number of mental health problems Poisson regression was used. For
each outcome (Y) the general model fitted was of the form:
![]() |
G(Yit) was the log odds of Y
for the i-th individual in the t-th time interval for
dichotomous outcomes or the log rate of problems for the i-th
individual in the t-th time interval for the count of the number of
mental health problems; Xit was a time-dynamic
dichotomous variable reflecting the pregnancy history outcome (abortion,
pregnancy loss, live birth with adverse reaction, or other live birth) for the
i-th individual up to the t-th interval;
i was an individual specific random effect assumed to
be uncorrelated with Xit; and
eit was the disturbance term for the model. The
intercept B0 was permitted to vary with time t to
allow for changes in the base rate of each outcome over time. In each case, an
estimate of the pooled risk ratio of disorder (odds ratios for dichotomous
outcomes, incidence rate ratio for the problem count) and corresponding 95%
confidence interval was obtained from the fitted coefficient
B1 and its standard error in the usual way
eB1 ± 1.96s.e.(B1). To avoid
problems associated with repeated significance testing of multiple correlated
outcomes, tests of significance of the pooled associations were restricted to
the models for the count of number of mental health problems.
Risk ratio estimates for each measure of pregnancy history adjusted for
other pregnancy outcomes (Table
1) were obtained by extending the models in the above equation to
include all four measures of pregnancy history. Thus:
![]() |
|
View this table: [in a new window] | Table 1 Estimated risk ratios (95% CI) between mental health outcomes and each pregnancy outcome adjusted for other pregnancy outcomes |
X1it, X2it, X3it, X4it were time-dynamic dichotomous measures reflecting exposure of the i-th participant to abortion, pregnancy loss, live birth with adverse reaction, or other live birth respectively. Two models were fitted for each mental health outcome: (a) a model in which the pregnancy history measures (X1it, X2it, X3it, X4it) were assessed up to and concurrently with the observation interval for mental health outcomes; (b) a model in which the pregnancy history outcomes were assessed as lagged measures in the 5 years prior to the beginning of the interval in which the mental health outcome was assessed. The random-effects models were then further extended to obtain risk ratio estimates adjusted for the series of fixed and time-dynamic covariate factors described previously (Table 2). In fitting the covariate adjusted models, all covariates were initially considered for inclusion in each model. The covariate set was then refined using methods of forwards and backwards variable elimination to identify a stable set of covariates that were significant in at least one of the models fitted. The final analyses were conducted using only these covariates.
|
View this table: [in a new window] | Table 2 Estimated risk ratios (95% CI) between measures of pregnancy history and mental health outcomes after adjustment for covariates |
All models were fitted using Stata version 8 for Windows. Estimates of the attributable fraction of mental health problems owing to abortion were derived from the adjusted rate ratio measures using the methods described by Bruzzi et al.41
Sample bias
As noted previously the sample sizes available for analysis represented
80–83% of the initial sample of 630 women who entered the study at
birth. To test for selection bias arising from the processes of sample
attrition, the sample of women included in the analysis was compared with the
remaining cohort on a series of measures collected at the time of birth. These
comparisons suggested evidence of small but statistically significant
(P<0.05) tendencies for women from socio-economically
disadvantaged backgrounds (low parental education, low socio-economic status
family, single-parent family) to be under-represented in the analysis sample.
To examine the extent to which the study findings may have been influenced by
these small biases, the analyses were repeated using the data weighting
methods described by Carlin et
al.42 These
analyses produced almost identical conclusions to the results reported here,
suggesting that the findings were unlikely to have been influenced by
selection bias.
|
|
|---|
Adjustment for associations between pregnancy outcomes
The results in online Table DS1 do not take account of the
interrelationships between various pregnancy outcomes, reporting just on the
contemporaneous relationships between pregnancy outcomes and mental health.
These issues are addressed in Table
1, which shows estimates of the RRs between rates of mental health
problems and each pregnancy outcome adjusted for other pregnancy outcomes.
These estimates were obtained by fitting the random-effects model described in
the Method. The associations are reported for two different models: (a) a
model in which pregnancy outcomes were assessed concurrently with mental
health (as in online Table DS1); and (b) a lagged model in which exposure to
the pregnancy outcome occurred in the 5 years prior to the interval in which
mental health was assessed. Table
1 leads to the following general conclusions.
Concurrent model
In all cases, RR estimates for exposure to abortion and exposure to
pregnancy loss were greater than 1, implying that exposure to these conditions
was associated with increased risks of concurrent mental health problems.
Overall, those exposed to induced abortion had rates of mental health problems
that were 1.49 (95% CI 1.24–1.80) times higher than the rates for those
who did not become pregnant (P<0.001), whereas exposure to
pregnancy loss was associated with a 1.48 (95% CI 1.19–1.82) times
increase (P<0.001). Risk ratios for live birth with an
unwanted/adverse reaction tended to be more modest, with an overall rate of
mental health problems that was only 1.18 (95% CI 0.91–1.53) times the
rate for those who did not become pregnant (P>0.20). In contrast,
other live birth was associated with reduced risks of most disorders, with an
overall RR of disorder of 0.91 (95% CI 0.75–1.09) compared with women
who did not become pregnant (P>0.30).
The 5-year lagged model
The results of the 5-year lagged model were in most respects very similar
to the findings from the concurrent model. Exposure to induced abortion was
associated with consistently increased risks of mental health problems, with
women who had had abortions having overall rates of mental health problems
that were 1.48 (95% CI 1.18–1.85) times the rates for those who had not
become pregnant (P<0.001). Pregnancy loss was also associated with
increased risks of mental health problems, with women who had had such losses
having overall rates of mental health problems that were 1.26 (95% CI
0.96–1.67) times higher than those who had not become pregnant
(P=0.10). Having a live birth with an unwanted/adverse reaction was
associated with a modest increase in rates of internalising disorders
(depression, anxiety) and suicidal ideation, but a reduction in the risks of
substance use disorders, with an overall RR of disorder of 1.05 (95% CI
0.74–1.49) that was no higher than for those who had not become pregnant
(P>0.75). However, in contrast to the concurrent model, those who
had had a live birth without an adverse reaction appeared to have elevated
risks of subsequent disorder for most mental health outcomes (particularly for
anxiety disorder and suicidal ideation). Overall, having an other live birth
was associated with a 1.27 (95% CI 1.00–1.61) times increase in rates of
mental disorder (P=0.05).
Covariate adjusted results
A limitation of the analysis in Table
1 is that the associations between pregnancy outcomes and mental
health do not take into account potential confounding factors that might be
associated with increased risks of various pregnancy outcomes and/or mental
health outcomes. To address this issue the associations in
Table 1 were adjusted for a
series of confounding covariates (see Method). These covariates included
measures of: childhood socio-economic circumstances; childhood family
functioning; parental adjustment; exposure to abuse in childhood; individual
characteristics; educational achievement; adolescent adjustment; and
time-dynamic lifestyle and related factors.
Table 2 shows the estimated covariate adjusted RR and 95% CIs for each mental health outcome estimated by the concurrent and lagged models. After adjustment, both sets of models yielded a similar set of conclusions.
Inspection of the results in Table 2 suggests that the reasons for the higher rates of mental disorder among women exposed to induced abortion were owing to small but consistent tendencies for those exposed to abortion to be at increased risks of a range of adverse mental health outcomes, with these trends being most marked for illicit drug dependence in the concurrent model, and anxiety disorders, alcohol dependence and illicit drug dependence in the lagged model. Odds ratios for specific disorders ranged from 1.19 to 3.56 for the concurrent model and from 1.31 to 2.88 for the lagged model.
Sensitivity analysis
The models in Tables 1 and
2 are a subset of the models
that could be fitted to these data. In particular, there are two key decisions
that could affect the outcomes of the modelling process. The first was the
data-set used to analyse the results. As explained in the Method, pregnancy
data were available from both prospective and retrospective reports and the
present analysis is based on a data-set that combined both retrospective and
prospective report data. A second way in which the analysis could vary was
with the choice of the lag between the measures of pregnancy history and the
assessment of mental health outcomes. To explore the consequences of these
decisions, a sensitivity analysis was conducted by replicating the analysis of
the effect of abortion on the total number of mental health problems using
three different strategies to define pregnancy history (combined data,
prospective data, retrospective data) and using four lag rules (concurrent,
lagged 5 years, 4 years and 3 years).
The results of this analysis are shown in Table 3, which gives IRR estimates and 95% CIs for the effects of abortion on overall rates of mental health outcomes for the different models. Table 3 shows that the results of the analyses were highly consistent:
|
View this table: [in a new window] | Table 3 Adjusted risk ratios (95% CI) for the effect of abortion on number of mental health problems by alternative strategies for defining pregnancy history and alternative lag rules |
Among the lagged models there was a tendency for RR estimates to reduce with shorter lags, with the IRRs for the 5-year lagged model ranging from 1.34 to 1.26 compared with 1.29 to 1.23 for the 3-year lagged model.
All results are consistent with the conclusion that even following extensive covariate adjustment, exposure to induced abortion was associated with a small but consistent increase in rates of mental health problems. However, although there was evidence of significant associations between exposure to induced abortion and rates of mental health problems, the contribution of induced abortion to population rates of disorder was small. The estimated attributable fractions for the analyses summarised in Table 3 ranged from 1.5% to 5.5%.
|
|
|---|
Although exposure to abortion was associated with significant increases in risks of mental health problems, the overall effects of abortion on mental health proved to be small. Estimates of the attributable fraction suggested that exposure to abortion accounted for 1.5–5.5% of the overall rates of mental disorder in this cohort.
Evidence of causality
These findings are consistent with the view that exposure to abortion has a
small causal effect on the mental health of women. The following lines of
evidence support a causal conclusion.
Although the weight of the evidence favours the view that abortion has a small causal effect on mental health problems, other explanations remain possible. In particular it could be suggested that the small association between abortion and mental health found in this study could be explained by uncontrolled residual confounding. As in all naturalistic studies, control of nonobserved sources of confounding is difficult but not impossible and there are several ways in which better control of such confounding might be achieved.44,45 The most informative design in this area is likely to be provided by a discordant twin design in which the mental health of female monozygotic twin-pairs who are discordant for abortion exposure is studied.44 In addition, the study was not able to examine the role of abortion in more serious forms of mental illness.
Implications
The conclusions drawn above have important implications for the ongoing
debates between pro-life and pro-choice advocates about the mental health
effects of abortion. Specifically, the results do not support strong pro-life
positions that claim that abortion has large and devastating effects on the
mental health of
women.46 Neither do
the results support strong pro-choice positions that imply that abortion is
without any mental health
effects.47 In
general, the results lead to a middle-of-the-road position that, for some
women, abortion is likely to be a stressful and traumatic life event which
places those exposed to it at modestly increased risk of a range of common
mental health problems.
Finally, the findings of this study have some important implications for the legal status of abortion in societies such as New Zealand and the UK, where over 90% of abortions are authorised on the grounds that proceeding with the pregnancy would pose a serious threat to the womans mental health.48,49 In general, there is no evidence in the literature on abortion and mental health that suggests that abortion reduces the mental health risks of unwanted or mistimed pregnancy. Although some studies have concluded that abortion has neutral effects on mental health,4,5,12,14 no study has reported that exposure to abortion reduces mental health risks. These trends are evident in the present study, which shows that although abortion was associated with increased risks of mental health problems, no increase was evident for those having unwanted pregnancies that came to term. Although these conclusions are limited by the relatively small number of unwanted pregnancies that came to term, there is nothing in this study that would suggest that the termination of pregnancy was associated with lower risks of mental health problems than birth following an unwanted pregnancy. This evidence clearly poses a challenge to the use of psychiatric reasons to justify abortion for women having unwanted pregnancies in jurisdictions that require evidence that pregnancy poses harm to the womans health before termination of pregnancy can be authorised.
|
|
|---|
|
|
|---|
Related articles in BJP:
This article has been cited by other articles:
![]() |
D. M. Fergusson, L. J. Horwood, and J. M. Boden Reactions to abortion and subsequent mental health The British Journal of Psychiatry, November 1, 2009; 195(5): 420 - 426. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Cantwell, I. Jones, and M. Oates Response to the Editor: The British Journal of Psychiatry, October 1, 2009; 195(4): 369 - 369. [Full Text] [PDF] |
||||
![]() |
M. Blackwell Disclosure of religious beliefs The British Journal of Psychiatry, October 1, 2009; 195(4): 368 - 368. [Full Text] [PDF] |
||||
![]() |
J. E. Cooper Author's reply: The British Journal of Psychiatry, October 1, 2009; 195(4): 368 - 369. [Full Text] [PDF] |
||||
![]() |
A. J. Taft and L. Watson Abortion and mental health: established facts reconsidered The British Journal of Psychiatry, August 1, 2009; 195(2): 181 - 181. [Full Text] [PDF] |
||||
![]() |
S. Rowlands and K. Guthrie Abortion and mental health The British Journal of Psychiatry, July 1, 2009; 195(1): 83 - 83. [Full Text] [PDF] |
||||
![]() |
D. M. Fergusson, L. J. Horwood, and J. M. Boden Authors' reply: The British Journal of Psychiatry, July 1, 2009; 195(1): 83 - 84. [Full Text] [PDF] |
||||
![]() |
P. Tyrer Editor's note The British Journal of Psychiatry, June 1, 2009; 194(6): 571 - 571. [Full Text] [PDF] |
||||
![]() |
J. E. Cooper Abortion and mental health disorders The British Journal of Psychiatry, June 1, 2009; 194(6): 570 - 570. [Full Text] [PDF] |
||||
![]() |
D. M. Fergusson, L. J. Horwood, and J. M. Boden Abortion and mental health The British Journal of Psychiatry, April 1, 2009; 194(4): 377 - 378. [Full Text] [PDF] |
||||
![]() |
P. Casey, M. Oates, I. Jones, and R. Cantwell Invited commentaries on... Abortion and mental health disorders The British Journal of Psychiatry, December 1, 2008; 193(6): 452 - 454. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||