Abstract
Background:
One in four women of childbearing age has some degree of mental disorders and are, therefore, prone to both pregnancy complications and adverse health outcomes in their offspring. We aimed to evaluate the impact of preconception severe mental disorders on pregnancy outcomes in primiparous women.
Methods
The study cohort was composed of 6,189 Finnish primiparous women without previously diagnosed diabetes, who delivered between 2009 and 2015, living in the city of Vantaa, Finland. Women were classified to have a preconception severe mental disorder if they had one or more outpatient visits to a psychiatrist or hospitalization with a psychiatric diagnosis 1 year before conception. Data on pregnancies, diagnoses, and pregnancy outcomes were obtained from national registers at an individual level.
Results
Primiparous women with preconception severe psychiatric diagnosis were younger, more often living alone, smokers, and had lower educational attainment and lower taxable income than women without psychiatric diagnosis (for all p < 0.001). Of all women, 3.4% had at least one psychiatric diagnosis. The most common psychiatric diagnoses were depression and anxiety disorders. The most common comorbidity was the combination of depression and anxiety disorders. There were no differences in the need for respiratory treatments, admissions to the neonatal intensive care unit, or antibiotic treatments between the offspring's groups.
Conclusion
Although primiparous women had severe mental disorders, the well-being of newborns was good. The most common severe mental health disorders were depression and anxiety disorders, and psychiatric comorbidity was common. Women with severe mental disorders more often belonged to lower socioeconomic groups.
Keywords: mental illness, preconception psychiatric diagnosis, pregnancy outcomes, primiparous, socioeconomic status
Introduction
Around one in one-quarter of women of childbearing age have mental disorders (1–4). The prevalence of mental disorders in young pregnant women is increasing (5). Of the preconception mental disorders, depression and anxiety are most common (4, 6). Comorbidity is common for mental disorders (7, 8). The poor preconception of mental health is a risk factor for both pregnancy complications and adverse health outcomes in the offspring (9–14).
A population-based US study reported that poor preconception mental health was the most significant risk factor for pregnancy complications and was reported in every third pregnancy. Women who reported poor mental health before pregnancy were 1.48 times more likely to have a non-live birth, and nearly twice as likely to give birth to a low-birthweight baby. Overall, pregnancy complications were identified in four out of ten women (10). Studies, including both primiparous and multiparous women, show that women with preconception common mental disorders (CDM, i.e., depression and anxiety) are more likely to have pregnancy complications, such as gestational diabetes mellitus (GDM), miscarriage or stillbirth, and delivery of a preterm or a low-birthweight newborn (9–11). A recent systematic review and meta-analysis show that antenatal maternal anxiety was associated with preterm birth and low birthweight, but not with pre-eclampsia, and cesarean delivery (11). Most of these studies were from North America and Europe and the adverse outcomes of offspring were associated with socioeconomic characteristics, such as young or old maternal age, smoking, and low education (9–11). However, the study results are conflicting regarding preconception anxiety and depression and their association with GDM (1, 13, 15, 16). Different definitions (interviews, purchases of drugs, registered data, and self-reported) of anxiety, depression, and GDM, as well as different study designs (cross-sectional, longitudinal) and study populations, make comparisons between studies challenging.
In pregnant women, mental disorders are associated with socioeconomic status (SES) (12, 14, 17, 18). In most studies, SES is associated with maternal age, smoking, educational attainment, income, and cohabiting (12, 14). Smoking is more frequent among women, who are unmarried and/or have low educational attainment (14, 18).
In primiparous women, data on preconception mental health and its influence on pregnancy complications and outcomes are largely missing. The purpose of this study is to evaluate maternal mental health and morbidity and their association with pregnancy outcomes in primiparous women.
Materials and Methods
The study cohort included all primiparous women (N = 6189) without previously diagnosed diabetes mellitus from the city of Vantaa, Finland, who delivered a singleton between January 1, 2009 and December 31, 2015, and who spoke Finnish or Swedish as their native language. Vantaa is the fourth most populated city in Finland located in Helsinki metropolitan area. We excluded women with diabetes mellitus to avoid the independent association with common mental disorders (CMD) (1, 15, 16).
Women were defined to be primiparous if they delivered for the first time a live birth or a stillbirth from 500 g or 22 gestational weeks onward.
The Finnish Institute of Health and Welfare (THL) keeps the Finnish Medical Birth Register, including data on all births and stillbirths in Finland. From this source, we obtained the following maternal characteristics: age at delivery, the status of cohabiting, smoking, pre-pregnancy weight and height, pregnancy history (number of previous pregnancies, abortions, miscarriages, and ectopic pregnancies), presence of GDM, hospitalization due to hypertension or vaginal bleeding, cesarean section, and duration of pregnancy. The day of conception was a subtraction of the date of delivery and the duration of pregnancy.
Women were defined as smokers if they smoked or quit smoking during pregnancy. Pre-pregnancy body mass index (BMI) was calculated as a quotient of pre-pregnancy weight (kg) and height (m) squared. The threshold value of BMI for obesity was ≥30 kg/m2. Diagnosis of chronic diseases was obtained from The Finnish Institute of Health and Welfare (THL).
Since 2008, the diagnoses of GDM are assessed according to the Finnish Current Care Guidelines for GDM (www.kaypahoito.fi) with the following threshold glucose values in a standard 75 g 2-h oral tolerance test (OGTT): fasting plasma glucose ≥ 5.3 mmol/l, 1-h glucose ≥10 mmol/l, 2-h glucose ≥8.6 mmol/l. One or more pathological values lead to the diagnosis of GDM.
The level of education was defined as the highest level of education achieved. This data was obtained from Statistics Finland. Education was distributed into four levels: I basic education (9–10 years of schooling), II upper secondary education/ postsecondary non-tertiary education (11–14 years of schooling), III bachelor's degree education (15–16 years of schooling), and IV master's/doctoral education (≥17 years of schooling).
The Finnish Tax Administration produces yearly data on taxable income, including both earned and capital income at the individual level. The pre-pregnancy annual taxable incomes of primiparous women were defined as the mean taxable income for the year of consumption and 2 years before delivery. The annual incomes were adjusted for the year 2017 value by a consumer price index (Statistics Finland http://www.stat.fi/til/index¬_en.html). The study population was divided into five annual income levels (euros, €) I level 0–11 120 €, level II 11 121–22 855 €, level III 22 856–29 940 €, level IV 29 941–40 190 €, and level V 40 191 € or more. The mean annual taxable income in Finland among women in 2016 was 24 764 €.
The Finnish Institute of Health and Welfare (THL) also keeps the Care Register for Health Care. This register contains data on information of patients in inpatient care and health centers, patients discharged from inpatient care, day surgeries, and specialized outpatient care. The diagnosis was coded according to the International Statistical Classification of Diagnosis and Related Health Problems 10th Revision (ICD-10). World Health Organization 1992. From the Care Register for Health Care, we obtained data on maternal psychiatric diagnosis (ICD-10 code group F, excluding F00–F10 because there were no cases within these groups) 1 year before conception. Women were classified as having a mental health disorder if they had one or more outpatient psychiatrist visit/s or hospitalization due to mental health disorders. The onset of mental disorders was defined as the day the psychiatric diagnosis was coded.
Based from the Finnish Medical Birth Register, we also obtained the following offspring characteristics: sex, birth weight and height, head circumference and admissions to neonatal intensive care treatment, resuscitation with intubation, antibiotic treatment, and respiratory treatment before the age of 7 days. Offspring birthweight was calculated as Z-scores according to sex and gestational age within our own cohort. The ponderal index was calculated by dividing the birth weight (kg) by the birth length (m)3 (19).
Preterm birth was defined as a delivery before 37+0 gestational weeks. Cesarean sections were divided into emergency, urgent, and elective sections.
Statistical Analyses
The characteristics are presented as means with standard deviation (SD) for continuous variables and as frequencies with percentages for categorical variables. Statistical comparison between the study participants with and without a psychiatric diagnosis was performed by the t-test, Chi-square test, or Fisher–Freeman–Halton test when appropriate. Prevalence of preconception psychiatric diagnoses among primiparous women according to ICD-10 codes per 1,000 person-years with 95% confidence intervals (CI) was calculated assuming a Poisson distribution. Offspring birthweight was calculated as Z-scores according to sex and gestational age. In the case of violation of the assumptions (e.g., non-normality) for continuous variables, a bootstrap-type method or Monte Carlo p-values (small number of observations) for categorical variables were used. No adjustment was made for multiple testing because this information can be obtained by multiplying the actual p-value by the number of comparisons made (20). There was no statistical difference in the main outcome variables, so multiple testing would not have changed the results. Normal distributions were evaluated graphically and with the Shapiro–Wilk W test. Stata 17.0 (StataCorp LP, College Station, TX, USA) was used for the analysis.
Results
The mean age of the study participants was 28.6 (SD 5.1) years. Women with a psychiatric diagnosis (ICD-10 code group F) were younger (25.3 [5.7] years vs. (28.6 [5.1] years), more often living alone (40% vs. 20%), less often non-smokers (70% vs. 90%), had lower educational attainment (11.4 years vs. 13.5 years), and lower yearly income (12 700 vs. 25 000) than women without a psychiatric diagnosis, for all p < 0.001. Table 1 shows the characteristics of women without and with psychiatric diagnoses. Women without psychiatric diagnoses needed more often hospitalization due to hypertension during pregnancy compared with women with a psychiatric diagnosis (7% vs. 2%, p = 0.013). Table 2 shows the pregnancy complications in women without and with a psychiatric diagnosis.
Table 1.
Characteristics of primiparous women (N = 6189) without and with preconception psychiatric diagnosis.
| Primiparous women | P–value | ||
|---|---|---|---|
| Without psychiatric diagnosis (n = 5979) | With psychiatric diagnosis (n = 210) | ||
| Age (years), mean (SD) | 28.6 (5.1) | 25.3 (5.7) | <0.001 |
| Cohabiting, n (%) | 4797 (80) | 127 (60) | <0.001 |
| Yearly income 1000, mean (SD) | 25.0 (13.7) | 12.7 (10.5) | <0.001 |
| Smokers, n (%) | <0.001 | ||
| No smoking | 4927 (82) | 120 (57) | |
| Quit during the 1st trimester | 462 (8) | 26 (12) | |
| Smoking during pregnancy | 590 (10) | 64 (30) | |
| Years of schooling, mean (SD) | 13.5 (2.6) | 11.4 (2.4) | <0.001 |
| Height (cm), mean (SD) | 166 (6) | 166 (6) | 0.49 |
| Weight (kg), mean (SD) | 66 (14) | 68 (14) | 0.085 |
| Pre–pregnancy body mass index (kg/m2), mean (SD) | 24.0 (4.5) | 24.8 (5.0) | 0.028 |
| Obese (body mass index ≥30.0 kg/m2), n (%) | 648 (11) | 32 (15) | 0.045 |
| Morbidity, n (%) | |||
| Thyroid diseases | 40 (1) | 0 (0) | 0.65 |
| Rheumatic diseases | 74 (1) | 2 (1) | 0.99 |
| Pulmonary diseases | 182 (3) | 9 (4) | 0.31 |
| Inflammatory bowel diseases | 54 (1) | 3 (1) | 0.44 |
| Cardiovascular diseases | 4 (0) | 0 (0) | 0.99 |
| Epilepsy | 43 (1) | 4 (2) | 0.074 |
Table 2.
Pregnancy complications in primiparous women (N = 6189) without and with preconception psychiatric diagnosis.
| Primiparous women | P–value | ||
|---|---|---|---|
| Without psychiatric diagnosis (n = 5979) | With psychiatric diagnosis (n = 210) | ||
| Previous pregnancies, n (%) | 0.036 | ||
| None | 4801 (80) | 159 (76) | |
| One | 837 (14) | 29 (14) | |
| Two | 256 (4) | 16 (8) | |
| Three or more | 85 (1) | 6 (3) | |
| Fertility treatment, n (%) | 537 (9) | 6 (3) | 0.002 |
| Duration of pregnancy (weeks), mean (SD) | 39.9 (1.9) | 39.7 (2.3) | 0.099 |
| Gestational diabetes mellitus, n (%) | 962 (16) | 41 (20) | 0.18 |
| Hospitalization due to hypertension, n (%) | 389 (7) | 5 (2) | 0.013 |
| Hospitalization due to vaginal bleeding, n (%) | 21 (0) | 0 (0) | 0.99 |
| Cesarean sections, n (%) | 0.34 | ||
| Emergency | 86 (7) | 6 (11) | |
| Urgent | 908 (70) | 38 (70) | |
| Elective | 310 (24) | 10 (19) | |
| Preterm delivery, n (%) | 350 (6) | 16 (8) | 0.29 |
| Epidural pain relief, n (%) | 4032 (67) | 145 (69) | 0.62 |
The Psychiatric Diagnosis
One year before conception, 3.4% (n = 210) of women had at least one psychiatric diagnosis. The most common psychiatric diagnosis was depression (ICD-10 codes F32–39), observed in 20 out of 1,000 primiparous women (95% CI 16.4,23.4). The second most common psychiatric diagnosis was anxiety disorder (ICD-10 codes F40–45), observed in 11 out of 1,000 women (95% CI 8.8,14.3). Figure 1 shows the prevalence of psychiatric diagnosis according to the ICD-10 codes in primiparous women.
Figure 1.
Prevalence of preconception psychiatric diagnoses among primiparous women according to International Statistical Classification of Diagnosis and Related Health Problems 10th Revision (ICD-10) codes. ICD 10 = International Statistical Classification of Diseases and Related Health Problems F10–19 mental and behavioral disorders due to psychoactive substance use, F20–29 schizophrenia, schizotypal and delusional disorders, F30–31 bipolar affective disorders, F32–39 depressive disorders, F40–45 anxiety disorders, F50 eating disorders, F60–61 disorders of adult personality and behavior, and F90 disturbance of activity and attention.
Psychiatric Comorbidity
One year before conception in primiparous women, 10 out of 1,000 (95% CI 7.8,13.0) had more than one psychiatric diagnosis. The most common psychiatric comorbidity was depression (ICD-10 codes F32-−39) and anxiety disorders combined (ICD-10 codes F40–45), this was observed in 4 out of 1,000 women (95% CI 2.7,6.1). The second most common psychiatric comorbidity was anxiety disorder (ICD-10 codes F40–45) and alcohol and/or narcotics abuse (ICD-10 codes F10–19) combined, which was observed in 1 out of 1,000 women (95% CI .4,2.1). The psychiatric comorbidity with depression (ICD-10 codes F32–39) and abuse of alcohol and/or narcotics (ICD-10 codes F10–19) were observed in 1 out of 1,000 women (95% CI 0.3, 1.9).
Psychiatric Diagnosis and Pregnancy Outcomes
Table 3 shows pregnancy outcomes in primiparous women divided into women without and with psychiatric diagnoses diagnosed 1 year before conception. Among offspring in these groups, no differences were observed in birth weight or birth length or in the need for respiratory treatments, admissions to neonatal intensive care unit, or antibiotic treatments.
Table 3.
Pregnancy outcomes in primiparous women (N = 6189) without and with preconception psychiatric diagnosis.
| Primiparous women | P–value | |||
|---|---|---|---|---|
| Without psychiatric diagnosis (n = 5979) | With psychiatric diagnosis (n = 210) | Crude | Adjusted* | |
| Male, n (%) | 3113 (52) | 97 (46) | 0.094 | 0.061 |
| Birth weight (g), mean (SD) | ||||
| Male | 3471 (556) | 3502 (665) | 0.58 | 0.52 |
| Female | 3369 (547) | 3320 (557) | 0.35 | 0.45 |
| Z–score | −0.00 (1.00) | 0.06 (0.98) | 0.34 | 0.17 |
| Length (cm), mean (SD) | ||||
| Male | 50.2 (2.5) | 50.0 (3.7) | 0.30 | 0.58 |
| Female | 49.4 (2.7) | 49.2 (3.0) | 0.26 | 0.49 |
| Ponderal index (kg/m3) | 27.4 (2.6) | 27.8 (2.8) | 0.051 | 0.31 |
| Head circumference (cm), mean (SD) | 34.8 (1.8) | 34.6 (2.1) | 0.12 | 0.44 |
| Respiratory treatment | 96 (2) | 6 (3) | 0.16 | 0.32 |
| Admission to neonatal intensive care unit | 656 (11) | 28 (13) | 0.28 | 0.68 |
| Antibiotic treatment | 394 (7) | 19 (9) | 0.16 | 0.64 |
Adjusted with maternal age, cohabiting, yearly income, smoking, years of schooling, and pre–pregnancy body mass index (BMI).
Discussion
Primiparous women with severe preconception psychiatric diagnosis more often belonged to lower socioeconomic groups and shared several characteristics of poor SES. Of women in the study population, 3% had at least one psychiatric diagnosis. The most common psychiatric diagnoses were depression and anxiety disorders. Further, 1% of the women had more than one preconception psychiatric diagnosis. The most common psychiatric comorbidity was depression and anxiety disorders combined. Between offspring of women with preconception psychiatric diagnosis and offspring of women without a psychiatric diagnosis were no differences in the need for respiratory treatments, admissions to neonatal intensive care unit, or antibiotic treatments.
We found that primiparous women with severe mental disorders had low SES. Previous studies have shown that smoking is more frequent among women, who are unmarried and/or have low educational attainment (14, 18). One study including nulliparous women focused on their health literacy. Women with inadequate health literacy were younger, had less educational attainment, and publicly funded insurance compared with those with adequate health literacy (20). Married women had a lower risk for low-birthweight neonates (10). In the US, the strongest protective issue against pregnancy complications was public or private health insurance (10). On the other hand, SES had little impact on adverse birth outcomes, although low maternal education weakly increased the likelihood of a low-birthweight neonate (12). There are conflicting results over the impact of maternal SES in pregnancy and outcomes. In many studies, there is heterogeneity of cohorts and the associations between variations remain unclear (11, 21, 22). In the study, the prevalence of GDM in this study was 16% as expected. ln 2015, the overall prevalence of GDM in Finland was 16% (18).
On average, one in five adults experiences common mental disorders within 1 year, and 30% over the lifespan. Women had higher rates of mood (7% vs. 4%) and anxiety (9% vs. 4%) disorders than men, while men had higher rates of substance use disorders (7% vs. 2%) than women (23). Further, women from low-, middle-, or high-income countries had more mood and anxiety disorders than men (24). In Finland, the yearly prevalence of depression is 5–7% (8). According to a survey by World Mental Health (WMH), the prevalence of anxiety disorders is 10% (25). We found that 3% of women had at least one psychiatric diagnosis. Our low prevalence rates are explained, at least in part, by the fact that the available diagnosis was made by psychiatrists in an outpatient clinic or hospital department. In Finland, the patients who visit the outpatient clinic or department have difficult-to-treat symptoms and/or a more severe illness. Patients with mild diseases are generally treated in primary health care centers by general practitioners.
We observed that the comorbidity of depression, anxiety disorders, and substance abuse disorders was common. According to a systematic review focusing on the prevalence of comorbid mental illness in clients with substance use, it varied from 47% to 100% (7). In Finland, the prevalence of comorbidity of depression and substance abuse varies between 10% and 30% (8). Further, the prevalence of comorbidity of anxiety disorders and substance abuse for 1 year is 5–30%, and during the lifespan 20–40% (8).
Generally, hypertensive disorders complicate 5–0% of all pregnancies (26). We found that women without a psychiatric diagnosis were hospitalized due to hypertension more often than women with a h psychiatric diagnosis. Possibly, women with a psychiatric diagnosis are closely monitored, and potential blood pressure problems are detected at an early stage when hospitalization is not required. Further, women with a psychiatric diagnosis were younger.
We observed no differences in newborns' weight, length, or admissions to neonatal intensive care unit, and respiratory or antibiotic treatments during the first week of life between offspring of women without and with preconception psychiatric diagnosis. In Finland, antenatal care in maternity clinics is comprehensive. Of all pregnant women, 99.7% use maternity clinic services (https://thl.fi/fi/web/lapset-nuoret-ja-perheet/sote-palvelut/aitiys-ja-lastenneuvola/aitiysneuvola). The maternity clinic gives counseling pregnant women individually and special attention is paid to high-risk mothers. Another study reported no difference between women taking psychotropic drugs compared with a group taking no medication in gestational age and birth weight (27). We were unaware of the prenatal medication for the women, which may explain the differences in the study observations. In our study cohort, women with mental disorders had low SES. Previous studies have shown controversial findings between low SES measured by income and educational attainment and the risk of preterm birth, low birth weight, and need for neonatal intensive care unit treatments (11, 12, 21, 22).
We recognize several strengths in our study. Our study cohort included all primiparous women who fulfilled the inclusion criteria, from the 4th biggest city in Finland with 220,000 inhabitants in 2015. We utilized the Finnish medical registers which are comprehensive, valid, and high-quality (28). A personal identification number assigned for every citizen and permanent resident since the 1960s enables us to combine data from different national registers. Further, the psychiatric diagnosis was made by trained psychiatrists.
There are some limitations to our study. Although our study cohort was comprehensive, all our study participants were Finnish. Thus, the generalization of the results is limited. Although our study cohort was large, there were few serious psychiatric diagnoses, which should be kept in mind when evaluating our research findings. We evaluated maternal preconception mental health and pregnancy outcomes, but we are unaware the medication used during pregnancy.
In conclusion, newborn of primiparous women with severe mental diseases seem to be born in good health. Primiparous women with severe mental health disorders often come from lower SES groups. Preconception prevalence of severe mental diseases was low, and comorbidity was common.
Data Availability Statement
The datasets generated for this study are not publicly available due to legal limitations.
Ethics Statement
The studies involving human participants were reviewed and approved by the Ethics Committee of the Hospital District of Helsinki and Uusimaa, Finland (356/13/03/03/2015), November 2, 2015), and the health authority of the city of Vantaa, Finland. The following registers have given permission to use register data in the study: Finnish Institute for Health and Welfare (THL), The Finnish Social Insurance Institution and Statistics Finland. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
S-MB wrote the manuscript. S-MB, HKa, MG, JE, and ML contributed to the study design, data collection, and research data. S-MB, HKo, HKa, MG, PP, JE, and ML contributed to the interpretation of the results and to the discussion, reviewed the article critically, and approved the final version of the manuscript. All authors contributed to the article and approved the submitted version.
Funding
Research Foundation for Primary Health Care, Finland, and The Hospital District of Helsinki and Uusimaa, Finland, awarded a research grant for this study. The funding sources had no role in the preparations of this article nor in study design, data collection, analyses, or writing the article.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated for this study are not publicly available due to legal limitations.