Abstract

Context

Polycystic ovary syndrome (PCOS) is characterized by hyperandrogenism and subfertility, but the effects on mental health and child neurodevelopment are unclear.

Objectives

To determine if (1) there is an association between PCOS and psychiatric outcomes and (2) whether rates of autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are higher in children of mothers with PCOS.

Design

Data were extracted from the Clinical Practice Research Datalink. Patients with PCOS were matched to two control sets (1:1) by age, body mass index, and primary care practice. Control set 2 was additionally matched on prior mental health status. Primary outcomes were the incidence of depression, anxiety, and bipolar disorder. Secondary outcomes were the prevalence of ADHD or ASD in the children.

Results

Eligible patients (16,986) were identified; 16,938 and 16,355 were matched to control sets 1 and 2, respectively. Compared with control set 1, baseline prevalence was 23.1% vs 19.3% for depression, 11.5% vs 9.3% for anxiety, and 3.2% vs 1.5% for bipolar disorder (P < 0.001). The hazard ratio for time to each endpoint was 1.26 (95% confidence interval 1.19 to 1.32), 1.20 (1.11 to 1.29), and 1.21 (1.03 to 1.42) for set 1 and 1.38 (1.30 to 1.45), 1.39 (1.29 to 1.51), and 1.44 (1.21 to 1.71) for set 2. The odds ratios for ASD and ADHD in children were 1.54 (1.12 to 2.11) and 1.64 (1.16 to 2.33) for set 1 and 1.76 (1.27 to 2.46) and 1.34 (0.96 to 1.89) for set 2.

Conclusions

PCOS is associated with psychiatric morbidity and increased risk of ADHD and ASD in their children. Screening for mental health disorders should be considered during assessment.

Polycystic ovary syndrome (PCOS) is the most common endocrine condition affecting young women and is characterized by hyperandrogenism, menstrual disturbance, and subfertility. In addition to its well-recognized reproductive sequelae (1), PCOS is now established as a metabolic disorder underpinned by insulin resistance and leading to an increased risk of type 2 diabetes (2).

The cutaneous manifestations of hyperandrogenism, including hirsutism, acne, and scalp hair loss, are emotionally distressing (3, 4), and could contribute to an increased prevalence of depression and anxiety in this population (5–8). Comorbid mental health disorders have also been shown to contribute to impaired quality of life in women with PCOS (9). However, it is difficult to establish how many of these outcomes are attributable to PCOS per se and how many to obesity, which is common in this patient group and itself associated with adverse mental health outcomes, including depression (10) and anxiety (11). This risk of depression may be particularly increased in patients with metabolically unhealthy obesity, which is characterized by insulin resistance and abdominal adiposity (12), compared with metabolically healthy weight-matched controls (13, 14). Furthermore, in community-based studies, the association between obesity and depression appears stronger for women compared with men (15). This association may be bidirectional: in longitudinal studies, obesity increases the risk of a subsequent diagnosis of depressive disorder, whereas depression at baseline, in turn, increases the odds for developing obesity (16). This latter risk appears to be particularly high for adolescent females (16).

Whereas previous studies have focused on the risk of depressive disorder and anxiety in patients with PCOS, hyperandrogenism may also influence the risk of other mental health disorders, including schizophrenia (17). However, a recent population-based cohort study failed to demonstrate an increased risk of developing schizophrenia (or bipolar disorder) in women with PCOS, although an increased risk of depressive disorder, anxiety disorder, and sleep disorder was confirmed (18). Other studies have shown that the risk of eating disorder, notably binge-eating disorder, may be increased in women with PCOS (19, 20). Attention deficit hyperactivity disorder (ADHD) has also been shown to associate with hyperandrogenism (21) and obesity in adults (22), albeit that the latter effect size is moderate.

More recently, these studies have been extended to examine the influence of intrauterine androgen exposure on neurodevelopmental outcomes in the children of mothers with PCOS. Brain development is influenced significantly by exposure to androgens during early gestation. Female rhesus monkeys exposed in utero to androgens show increased male-type behavior (23), whereas both ADHD and autism spectrum disorder (ASD) are more likely to be diagnosed in males than females (24, 25). These observations suggest that ADHD and ASD may be influenced by prenatal androgen exposure. One small case-control study has suggested that women with PCOS may have higher scores on ADHD symptoms on self-report scales (26), whereas we have recently shown that white-matter microstructure is altered in young women with PCOS (27). Most recently, Kosidou et al. (28), in a matched case-control study, found that maternal PCOS increased the odds of ASD in the children by 59%, which was further exacerbated by concomitant obesity. These studies require confirmation but suggest that PCOS may represent a novel risk state for later-life neurodevelopmental disorders.

Although these observations suggest that PCOS may be associated with several adverse mental health outcomes, many studies are limited by a failure to match for obesity (a potential major confounder), small sample sizes, cross-sectional study designs, and assessment of psychiatric morbidity using rating scales, rather than formal diagnosis by a psychiatrist or other clinician. In light of these uncertainties, we sought to establish the relative risks of major mental health outcomes (depressive disorder, anxiety, bipolar disorder, schizophrenia, eating disorder, ADHD, and ASD) for patients with PCOS and neurodevelopmental disorders (ASD and ADHD) in children born to mothers with PCOS.

Materials and Methods

The study used a retrospective cohort design using data from the Clinical Practice Research Datalink (CPRD), a longitudinal, anonymized research database collected from 674 primary care practices in the United Kingdom. The CPRD contains records for >11 million patients and is representative of the UK population in terms of age and sex (29). Approximately 60% of practices participate in a linkage scheme, by which their patient records are linked to other data sources, including the Hospital Episode Statistics (HES) dataset, which provides data on all inpatient and outpatient contacts occurring within National Health Service hospitals in the United Kingdom, and the Office for National Statistics mortality dataset. Diagnostic information in the CPRD primary-care dataset is recorded using the Read code classification, a UK primary-care practice standard. HES inpatient data are recorded using the 10th revision of the International Statistical Classification of Diseases and Related Health Problems classification.

Patient selection and matching of controls

The study was conducted using data from CPRD’s primary-care (GOLD) and linked HES data sets. The study population included those patients flagged by CPRD as being of an acceptable research quality. Patients with a diagnosis of PCOS, recorded in the primary-care dataset using the Read code classification (C164.00, C164.12, C165.00) from 2000 to 2014, were selected. The earliest diagnosis date was selected as the index date. A minimum “wash-in” period of 6 months from the patient’s practice registration date to index date was used to maximize the likelihood that the case represented an incident case.

Patients identified with PCOS were matched at a ratio of 1:1 to two sets of non-PCOS controls. This was to allow for the baseline prevalence of the selected outcomes for patients with PCOS to be calculated relative to non-PCOS controls using matching criteria 1. Matching criteria 2 allowed for patients to be matched on mental health history to identify the incidence of outcomes following PCOS diagnosis. For control set 1, cases with PCOS were matched to controls with no history of PCOS; the controls took the index date of the case. All controls were required to have at least a 6-month wash-in period from registration at the practice to the case index date. Controls were matched by age (±2 years), body mass index (BMI) category (<25 kg/m2, 25 to 30 kg/m2, >30 kg/m2), and primary-care practice. The same matching criteria were applied to control set 2, which was additionally matched for a history of prior mental health disorder (depression, anxiety, bipolar disorder, schizophrenia, eating disorder, autism, ADHD). Controls could appear in both sets. Mental health disorders were defined by the Read code classification or 10th revision of the International Statistical Classification of Diseases and Related Health Problems classification (Supplemental Appendix 1).

Endpoints

Primary outcomes were the incidence of depressive disorder, anxiety, bipolar disorder, schizophrenia, eating disorder, ADHD, and ASD in cases and controls. Secondary outcomes were the prevalence of ADHD or ASD in the children of mothers with PCOS. Children were identified via the mother–baby link generated within CPRD, which links mothers with their children. To maximize patient numbers, births both before and after index date were included in this study.

Data analysis

Baseline characteristics between cases and controls were compared using univariate statistics (t test for continuous variables and χ2 for categorical variables). Crude rates of progression to each outcome were presented, and time to each endpoint was analyzed using Cox proportional hazard models. The Cox models included the following covariates (all were available and tested for inclusion in each model): age, BMI, smoking status, baseline morbidity represented by the Charlson index (30), total number of contacts with the general practitioner in the year before index date that is regarded as a proxy for general morbidity, and deprivation based on quintiles of Index of Multiple Deprivation. The Index of Multiple Deprivation is an area-based measure of social and material deprivation based on various criteria, including income and education. Covariates were entered into each model if they were important in that model. Threshold statistical significance was P ≤ 0.05, and 95% confidence intervals (CIs) were given for hazard ratios (HRs).

Multivariate logistic regression was used to examine the association of PCOS status with risk of ASD and ADHD in the children.

A sensitivity analysis exploring the association of bipolar disorder with PCOS was undertaken, excluding cases those who had been treated with valproate therapy before the index date.

Studies using CPRD are covered by ethics approval, granted by the Trent Multicentre Research Ethics Committee (Reference 05/MRE04/87). CPRD Independent Scientific Advisory Committee approval was granted for this study (ISAC 16-249).

Results

Patients (89,732) with PCOS were initially identified. After application of the inclusion/exclusion criteria, 16,986 patients remained eligible for matching with control subjects (Fig. 1). Patients [16,938 (99.7%) and 16,355 (96.3%)] could be matched with controls for control sets 1 and 2, respectively.

Attrition chart for identification of pool of patients with PCOS.
Figure 1.

Attrition chart for identification of pool of patients with PCOS.

Baseline characteristics

The baseline characteristics of patients with PCOS and controls are shown in Tables 1 and 2, respectively, for control sets 1 and 2. For control set 1, median follow-up was 3.87 years [interquartile range (IQR) 1.80 to 7.25] for cases and 2.81 years (IQR 1.20 to 5.80) for controls. For control set 2, median follow-up was 3.88 years (IQR 1.81 to 7.26) for cases and 3.07 years (IQR 1.32 to 6.70) for controls. In both control sets, there were significant differences between cases and controls. Patients with PCOS had increased primary care contacts in the year before the index date (median 6.0 contacts vs 4.0 for both control sets) and an increased proportion of patients classified with extreme obesity (6.7% vs 3.9% in control set 1 and 6.3% vs 3.8% in control set 2). In addition, there were significant differences in smoking status, alcohol history, and systolic and diastolic blood pressure.

Table 1.

Baseline Characteristics for Women With PCOS and Matched Controls—Control Set 1

Baseline CharacteristicsCaseControlP
Total, n (%)16,938100.0016,938100.00
Age, y, mean, SD26.907.2027.017.360.1983
Follow-up, y, median, LQ-UQ3.871.80–7.252.811.20–5.80<0.0001
Observation period pre-index, y, median, LQ-UQ4.331.90–9.103.321.48–7.59<0.0001
Primary care contact in prior year, median, LQ-UQ63–941–7<0.0001
BMI, kg/m2, mean, SD29.867.8628.997.01<0.0001
BMI, kg/m2<0.0001
 Underweight (<20), n (%)6533.866633.91
 Normal (20–24), n (%)16529.7516839.94
 Overweight (>24–29), n (%)188511.13193811.44
 Obesity (>29–39), n (%)295517.45333519.69
 Extreme obesity (>39), n (%)11336.696593.89
 Missing, n (%)866051.13866051.13
Smoking<0.0001
 Never, n (%)10,54062.2310,33361
 Prior, n (%)293417.32255915.11
 Current, n (%)439425.94491829.04
 Missing, n (%)1741.037274.29
Alcohol<0.0001
 Never, n (%)352520.81318118.78
 Prior, n (%)2401.422291.35
 Current, n (%)971357.34981257.93
 Missing, n (%)346020.43371621.94
Diastolic BP<0.0001
Diastolic BP, mm Hg, mean, SD74.979.8273.529.55<0.0001
 <80, n (%)612836.18687840.61
 80–89, n (%)291317.2278316.43
 >89, n (%)6974.124682.76
 Missing, n (%)720042.51680940.2
Systolic BP<0.0001
Systolic BP, mm Hg, mean, SD118.7813.78117.8913.26<0.0001
 <120, n (%)478228.23520130.71
 120–139, n (%)417024.62428625.3
 >139, n (%)7864.646423.79
 Missing, n (%)720042.51680940.2
Baseline CharacteristicsCaseControlP
Total, n (%)16,938100.0016,938100.00
Age, y, mean, SD26.907.2027.017.360.1983
Follow-up, y, median, LQ-UQ3.871.80–7.252.811.20–5.80<0.0001
Observation period pre-index, y, median, LQ-UQ4.331.90–9.103.321.48–7.59<0.0001
Primary care contact in prior year, median, LQ-UQ63–941–7<0.0001
BMI, kg/m2, mean, SD29.867.8628.997.01<0.0001
BMI, kg/m2<0.0001
 Underweight (<20), n (%)6533.866633.91
 Normal (20–24), n (%)16529.7516839.94
 Overweight (>24–29), n (%)188511.13193811.44
 Obesity (>29–39), n (%)295517.45333519.69
 Extreme obesity (>39), n (%)11336.696593.89
 Missing, n (%)866051.13866051.13
Smoking<0.0001
 Never, n (%)10,54062.2310,33361
 Prior, n (%)293417.32255915.11
 Current, n (%)439425.94491829.04
 Missing, n (%)1741.037274.29
Alcohol<0.0001
 Never, n (%)352520.81318118.78
 Prior, n (%)2401.422291.35
 Current, n (%)971357.34981257.93
 Missing, n (%)346020.43371621.94
Diastolic BP<0.0001
Diastolic BP, mm Hg, mean, SD74.979.8273.529.55<0.0001
 <80, n (%)612836.18687840.61
 80–89, n (%)291317.2278316.43
 >89, n (%)6974.124682.76
 Missing, n (%)720042.51680940.2
Systolic BP<0.0001
Systolic BP, mm Hg, mean, SD118.7813.78117.8913.26<0.0001
 <120, n (%)478228.23520130.71
 120–139, n (%)417024.62428625.3
 >139, n (%)7864.646423.79
 Missing, n (%)720042.51680940.2

Abbreviations: BP, blood pressure; LQ-UQ, lower quartile-upper quartile; SD, standard deviation.

Table 1.

Baseline Characteristics for Women With PCOS and Matched Controls—Control Set 1

Baseline CharacteristicsCaseControlP
Total, n (%)16,938100.0016,938100.00
Age, y, mean, SD26.907.2027.017.360.1983
Follow-up, y, median, LQ-UQ3.871.80–7.252.811.20–5.80<0.0001
Observation period pre-index, y, median, LQ-UQ4.331.90–9.103.321.48–7.59<0.0001
Primary care contact in prior year, median, LQ-UQ63–941–7<0.0001
BMI, kg/m2, mean, SD29.867.8628.997.01<0.0001
BMI, kg/m2<0.0001
 Underweight (<20), n (%)6533.866633.91
 Normal (20–24), n (%)16529.7516839.94
 Overweight (>24–29), n (%)188511.13193811.44
 Obesity (>29–39), n (%)295517.45333519.69
 Extreme obesity (>39), n (%)11336.696593.89
 Missing, n (%)866051.13866051.13
Smoking<0.0001
 Never, n (%)10,54062.2310,33361
 Prior, n (%)293417.32255915.11
 Current, n (%)439425.94491829.04
 Missing, n (%)1741.037274.29
Alcohol<0.0001
 Never, n (%)352520.81318118.78
 Prior, n (%)2401.422291.35
 Current, n (%)971357.34981257.93
 Missing, n (%)346020.43371621.94
Diastolic BP<0.0001
Diastolic BP, mm Hg, mean, SD74.979.8273.529.55<0.0001
 <80, n (%)612836.18687840.61
 80–89, n (%)291317.2278316.43
 >89, n (%)6974.124682.76
 Missing, n (%)720042.51680940.2
Systolic BP<0.0001
Systolic BP, mm Hg, mean, SD118.7813.78117.8913.26<0.0001
 <120, n (%)478228.23520130.71
 120–139, n (%)417024.62428625.3
 >139, n (%)7864.646423.79
 Missing, n (%)720042.51680940.2
Baseline CharacteristicsCaseControlP
Total, n (%)16,938100.0016,938100.00
Age, y, mean, SD26.907.2027.017.360.1983
Follow-up, y, median, LQ-UQ3.871.80–7.252.811.20–5.80<0.0001
Observation period pre-index, y, median, LQ-UQ4.331.90–9.103.321.48–7.59<0.0001
Primary care contact in prior year, median, LQ-UQ63–941–7<0.0001
BMI, kg/m2, mean, SD29.867.8628.997.01<0.0001
BMI, kg/m2<0.0001
 Underweight (<20), n (%)6533.866633.91
 Normal (20–24), n (%)16529.7516839.94
 Overweight (>24–29), n (%)188511.13193811.44
 Obesity (>29–39), n (%)295517.45333519.69
 Extreme obesity (>39), n (%)11336.696593.89
 Missing, n (%)866051.13866051.13
Smoking<0.0001
 Never, n (%)10,54062.2310,33361
 Prior, n (%)293417.32255915.11
 Current, n (%)439425.94491829.04
 Missing, n (%)1741.037274.29
Alcohol<0.0001
 Never, n (%)352520.81318118.78
 Prior, n (%)2401.422291.35
 Current, n (%)971357.34981257.93
 Missing, n (%)346020.43371621.94
Diastolic BP<0.0001
Diastolic BP, mm Hg, mean, SD74.979.8273.529.55<0.0001
 <80, n (%)612836.18687840.61
 80–89, n (%)291317.2278316.43
 >89, n (%)6974.124682.76
 Missing, n (%)720042.51680940.2
Systolic BP<0.0001
Systolic BP, mm Hg, mean, SD118.7813.78117.8913.26<0.0001
 <120, n (%)478228.23520130.71
 120–139, n (%)417024.62428625.3
 >139, n (%)7864.646423.79
 Missing, n (%)720042.51680940.2

Abbreviations: BP, blood pressure; LQ-UQ, lower quartile-upper quartile; SD, standard deviation.

Table 2.

Baseline Characteristics for Women With PCOS and Matched Controls—Control Set 2

Baseline CharacteristicsCaseControlP
Total, n (%)16,355100.0016,355100.00
Age, y, mean, SD26.937.21277.370.3997
Follow-up, y, median, LQ-UQ3.881.81–7.263.071.32–6.70<0.0001
Observation period pre-index, y, median, LQ-UQ4.301.89–9.053.671.63–8.13<0.0001
Primary care contact in prior year, median, LQ-UQ63–941–7<0.0001
BMI, kg/m2, mean, SD29.687.8328.847.07<0.0001
BMI, kg/m2<0.0001
 Underweight (<20), n (%)6323.866644.06
 Normal (20–24), n (%)16009.7815949.75
 Overweight (>24–29), n (%)178910.94184211.26
 Obesity (>29–39), n (%)272116.64305218.66
 Extreme obesity (>39), n (%)10276.286173.77
 Missing, n (%)858652.5858652.5
Smoking<0.0001
 Never, n (%)10,05161.4610,23162.56
 Prior, n (%)245915.04297018.16
 Current, n (%)418525.59465228.44
 Missing, n (%)1701.047494.58
Alcohol<0.0001
 Never, n (%)340320.81305218.66
 Prior, n (%)2181.332371.45
 Current, n (%)937857.34934257.12
 Missing, n (%)335620.52372422.77
Diastolic BP<0.0001
Diastolic BP, mm Hg, mean, SD74.99.8273.279.58<0.0001
 <80, n (%)588736676541.36
 80–89, n (%)277316.96249615.26
 >89, n (%)6523.994642.84
 Missing, n (%)704343.06663040.54
Systolic BP<0.0001
Systolic BP, mm Hg, mean, SD118.7113.78117.8513.06<0.0001
 <120, n (%)457627.98499930.57
 120–139, n (%)399124.4411025.13
 >139, n (%)7454.566163.77
 Missing, n (%)704343.06663040.54
Baseline CharacteristicsCaseControlP
Total, n (%)16,355100.0016,355100.00
Age, y, mean, SD26.937.21277.370.3997
Follow-up, y, median, LQ-UQ3.881.81–7.263.071.32–6.70<0.0001
Observation period pre-index, y, median, LQ-UQ4.301.89–9.053.671.63–8.13<0.0001
Primary care contact in prior year, median, LQ-UQ63–941–7<0.0001
BMI, kg/m2, mean, SD29.687.8328.847.07<0.0001
BMI, kg/m2<0.0001
 Underweight (<20), n (%)6323.866644.06
 Normal (20–24), n (%)16009.7815949.75
 Overweight (>24–29), n (%)178910.94184211.26
 Obesity (>29–39), n (%)272116.64305218.66
 Extreme obesity (>39), n (%)10276.286173.77
 Missing, n (%)858652.5858652.5
Smoking<0.0001
 Never, n (%)10,05161.4610,23162.56
 Prior, n (%)245915.04297018.16
 Current, n (%)418525.59465228.44
 Missing, n (%)1701.047494.58
Alcohol<0.0001
 Never, n (%)340320.81305218.66
 Prior, n (%)2181.332371.45
 Current, n (%)937857.34934257.12
 Missing, n (%)335620.52372422.77
Diastolic BP<0.0001
Diastolic BP, mm Hg, mean, SD74.99.8273.279.58<0.0001
 <80, n (%)588736676541.36
 80–89, n (%)277316.96249615.26
 >89, n (%)6523.994642.84
 Missing, n (%)704343.06663040.54
Systolic BP<0.0001
Systolic BP, mm Hg, mean, SD118.7113.78117.8513.06<0.0001
 <120, n (%)457627.98499930.57
 120–139, n (%)399124.4411025.13
 >139, n (%)7454.566163.77
 Missing, n (%)704343.06663040.54
Table 2.

Baseline Characteristics for Women With PCOS and Matched Controls—Control Set 2

Baseline CharacteristicsCaseControlP
Total, n (%)16,355100.0016,355100.00
Age, y, mean, SD26.937.21277.370.3997
Follow-up, y, median, LQ-UQ3.881.81–7.263.071.32–6.70<0.0001
Observation period pre-index, y, median, LQ-UQ4.301.89–9.053.671.63–8.13<0.0001
Primary care contact in prior year, median, LQ-UQ63–941–7<0.0001
BMI, kg/m2, mean, SD29.687.8328.847.07<0.0001
BMI, kg/m2<0.0001
 Underweight (<20), n (%)6323.866644.06
 Normal (20–24), n (%)16009.7815949.75
 Overweight (>24–29), n (%)178910.94184211.26
 Obesity (>29–39), n (%)272116.64305218.66
 Extreme obesity (>39), n (%)10276.286173.77
 Missing, n (%)858652.5858652.5
Smoking<0.0001
 Never, n (%)10,05161.4610,23162.56
 Prior, n (%)245915.04297018.16
 Current, n (%)418525.59465228.44
 Missing, n (%)1701.047494.58
Alcohol<0.0001
 Never, n (%)340320.81305218.66
 Prior, n (%)2181.332371.45
 Current, n (%)937857.34934257.12
 Missing, n (%)335620.52372422.77
Diastolic BP<0.0001
Diastolic BP, mm Hg, mean, SD74.99.8273.279.58<0.0001
 <80, n (%)588736676541.36
 80–89, n (%)277316.96249615.26
 >89, n (%)6523.994642.84
 Missing, n (%)704343.06663040.54
Systolic BP<0.0001
Systolic BP, mm Hg, mean, SD118.7113.78117.8513.06<0.0001
 <120, n (%)457627.98499930.57
 120–139, n (%)399124.4411025.13
 >139, n (%)7454.566163.77
 Missing, n (%)704343.06663040.54
Baseline CharacteristicsCaseControlP
Total, n (%)16,355100.0016,355100.00
Age, y, mean, SD26.937.21277.370.3997
Follow-up, y, median, LQ-UQ3.881.81–7.263.071.32–6.70<0.0001
Observation period pre-index, y, median, LQ-UQ4.301.89–9.053.671.63–8.13<0.0001
Primary care contact in prior year, median, LQ-UQ63–941–7<0.0001
BMI, kg/m2, mean, SD29.687.8328.847.07<0.0001
BMI, kg/m2<0.0001
 Underweight (<20), n (%)6323.866644.06
 Normal (20–24), n (%)16009.7815949.75
 Overweight (>24–29), n (%)178910.94184211.26
 Obesity (>29–39), n (%)272116.64305218.66
 Extreme obesity (>39), n (%)10276.286173.77
 Missing, n (%)858652.5858652.5
Smoking<0.0001
 Never, n (%)10,05161.4610,23162.56
 Prior, n (%)245915.04297018.16
 Current, n (%)418525.59465228.44
 Missing, n (%)1701.047494.58
Alcohol<0.0001
 Never, n (%)340320.81305218.66
 Prior, n (%)2181.332371.45
 Current, n (%)937857.34934257.12
 Missing, n (%)335620.52372422.77
Diastolic BP<0.0001
Diastolic BP, mm Hg, mean, SD74.99.8273.279.58<0.0001
 <80, n (%)588736676541.36
 80–89, n (%)277316.96249615.26
 >89, n (%)6523.994642.84
 Missing, n (%)704343.06663040.54
Systolic BP<0.0001
Systolic BP, mm Hg, mean, SD118.7113.78117.8513.06<0.0001
 <120, n (%)457627.98499930.57
 120–139, n (%)399124.4411025.13
 >139, n (%)7454.566163.77
 Missing, n (%)704343.06663040.54

Prevalence of mental health disorders

In control set 1, 3912 (23.1%) patients with PCOS had previously been diagnosed with depression compared with 3272 (19.32%) of controls (P < 0.00001; Supplemental Appendix 2). A prior diagnosis of anxiety was also higher in patients with PCOS (n = 1956, 11.55%) compared with controls (n = 1579, 9.32%; P < 0.00001). There was also a significant increase in the recorded diagnosis of bipolar disorder [PCOS 535 (3.16%) vs 384 (1.45%) controls; P < 0.00001]. Prior diagnosis of an eating disorder for patients with PCOS was higher (n = 262, 1.55%) than controls (n = 175, 1.03%; P = 0.00003). In the sensitivity analysis, excluding pairs of cases and controls where either had been treated with valproate therapy before the index date, the rate of bipolar disorder remained significantly greater for patients with PCOS [526 (3.14%) vs 375 (1.45%); P < 0.00001].

There were no significant differences in the prevalence of schizophrenia, ASD, or ADHD between cases and controls (Supplemental Appendix 2).

Incidence of mental health disorders

For control set 1, the rate of depression following the index date was 42.62 per 1000 patient years (pky) for patients with PCOS compared with 34.46 pky for controls. The respective figures for anxiety, bipolar disorder, and eating disorder were 21.99 vs 17.61 pky, 4.83 vs 3.64 pky, and 7.57 vs 4.36 pky (Table 3). For control set 2, the rates were 41.66 vs 26.66 pky for depression, 21.33 vs 12.64 pky for anxiety, 4.42 vs 2.48 pky for bipolar disorder, and 7.40 vs 3.95 pky for eating disorder.

Table 3.

Number, Crude Rates, and Associated HRs for Depression, Anxiety, and Bipolar Disorder in Women With PCOS and Matched Controls

CasesControlsHR (CI)P
Number(Rate pky)Number(Rate pky)
Control set 116,93816,938
 Depression354542.62232734.461.26 (1.19–1.32)<0.00001
 Anxiety182921.99118917.611.20 (1.11–1.29)<0.00001
 Bipolar disorder4024.832463.641.21 (1.03–1.42)0.02126
 Autism140.83160.94
 ADHD130.77110.65
 Schizophrenia221.3090.53
 Eating disorder1257.57724.361.37 (1.05–1.81)0.02283
Control set 216,35516,355
 Depression335341.66214626.661.38 (1.30–1.45)<0.00001
 Anxiety171721.33101712.641.39 (1.29–1.51)<0.00001
 Bipolar disorder3564.422002.48
 Autism90.5530.18
 ADHD80.4960.37
 Schizophrenia100.6160.37
 Eating disorder1187.40633.951.54 (1.16–2.05)0.00256
CasesControlsHR (CI)P
Number(Rate pky)Number(Rate pky)
Control set 116,93816,938
 Depression354542.62232734.461.26 (1.19–1.32)<0.00001
 Anxiety182921.99118917.611.20 (1.11–1.29)<0.00001
 Bipolar disorder4024.832463.641.21 (1.03–1.42)0.02126
 Autism140.83160.94
 ADHD130.77110.65
 Schizophrenia221.3090.53
 Eating disorder1257.57724.361.37 (1.05–1.81)0.02283
Control set 216,35516,355
 Depression335341.66214626.661.38 (1.30–1.45)<0.00001
 Anxiety171721.33101712.641.39 (1.29–1.51)<0.00001
 Bipolar disorder3564.422002.48
 Autism90.5530.18
 ADHD80.4960.37
 Schizophrenia100.6160.37
 Eating disorder1187.40633.951.54 (1.16–2.05)0.00256
Table 3.

Number, Crude Rates, and Associated HRs for Depression, Anxiety, and Bipolar Disorder in Women With PCOS and Matched Controls

CasesControlsHR (CI)P
Number(Rate pky)Number(Rate pky)
Control set 116,93816,938
 Depression354542.62232734.461.26 (1.19–1.32)<0.00001
 Anxiety182921.99118917.611.20 (1.11–1.29)<0.00001
 Bipolar disorder4024.832463.641.21 (1.03–1.42)0.02126
 Autism140.83160.94
 ADHD130.77110.65
 Schizophrenia221.3090.53
 Eating disorder1257.57724.361.37 (1.05–1.81)0.02283
Control set 216,35516,355
 Depression335341.66214626.661.38 (1.30–1.45)<0.00001
 Anxiety171721.33101712.641.39 (1.29–1.51)<0.00001
 Bipolar disorder3564.422002.48
 Autism90.5530.18
 ADHD80.4960.37
 Schizophrenia100.6160.37
 Eating disorder1187.40633.951.54 (1.16–2.05)0.00256
CasesControlsHR (CI)P
Number(Rate pky)Number(Rate pky)
Control set 116,93816,938
 Depression354542.62232734.461.26 (1.19–1.32)<0.00001
 Anxiety182921.99118917.611.20 (1.11–1.29)<0.00001
 Bipolar disorder4024.832463.641.21 (1.03–1.42)0.02126
 Autism140.83160.94
 ADHD130.77110.65
 Schizophrenia221.3090.53
 Eating disorder1257.57724.361.37 (1.05–1.81)0.02283
Control set 216,35516,355
 Depression335341.66214626.661.38 (1.30–1.45)<0.00001
 Anxiety171721.33101712.641.39 (1.29–1.51)<0.00001
 Bipolar disorder3564.422002.48
 Autism90.5530.18
 ADHD80.4960.37
 Schizophrenia100.6160.37
 Eating disorder1187.40633.951.54 (1.16–2.05)0.00256

HRs for mental health disorders

Time to event for depression and anxiety for both control sets are shown in the Kaplan-Meier curves in Fig. 2. After the adjustment for demographic and morbidity indicators in the Cox proportional hazards model, the HRs for patients with PCOS compared with controls in control set 1 were 1.26 (95% CI 1.19 to 1.32) for depression, 1.20 (95% CI 1.11 to 1.29) for anxiety, 1.21 (95% CI 1.03 to 1.42) for bipolar disorder, and 1.37 (95% CI 1.05 to 1.81) for eating disorder. For control set 2, the HRs were 1.38 (95% CI 1.30 to 1.45) for depression, 1.39 (95% CI 1.29 to 1.51) for anxiety, and 1.54 (95% CI 1.16 to 2.05) for eating disorder. As a result of model violations, it was not possible to calculate the HR for bipolar disorder (Table 3).

Kaplan-Meier curves showing time to depression and anxiety for patients with PCOS compared with matched controls.
Figure 2.

Kaplan-Meier curves showing time to depression and anxiety for patients with PCOS compared with matched controls.

In the sensitivity analysis, excluding cases in which patients had been treated with valproate therapy before the index date, the HR for cases to controls for bipolar disorder was 1.21 (95% CI 1.03 to 1.42) for control set 1 and 1.45 (95% CI 1.21 to 1.73) for control set 2.

ADHD and ASD in children of patients with PCOS

In control set 1, there were 8962 children born to patients with PCOS compared with 8885 born to the controls. The respective rate of ADHD was 4.81 vs 3.32 pky, with an odds ratio of 1.64 (95% CI 1.16 to 2.33). The rate of ASD was 5.82 vs 3.92 pky, with an odds ratio of 1.54 (95% CI 1.12 to 2.11). In control set 2, there were 8695 births to women with PCOS and 8973 to controls. The rate of ADHD was 6.00 vs 3.54 pky, with an odds ratio of 1.75 (1.27 to 2.46), and the rate of ASD was 4.44 vs 3.90 pky, with an odds ratio of 1.34 (95% CI 0.96 to 1.89; Table 4).

Table 4.

Number, Rate, and Odds Ratio of ADHD and Autism in the Children of Mothers With PCOS and Matched Controls

Mental Health DisorderCasesControlsOdds Ratio (CI)P
Number(Rate pky)Number(Rate pky)
Control set 189628885
 ADHD814.81563.321.64 (1.16–2.33)0.00526
 Autism985.82673.981.54 (1.12–2.11)0.00068
Control set 286958973
 ADHD744.44653.901.34 (0.96–1.89)0.08708
 Autism956.00593.541.75 (1.27–2.46)0.00080
Mental Health DisorderCasesControlsOdds Ratio (CI)P
Number(Rate pky)Number(Rate pky)
Control set 189628885
 ADHD814.81563.321.64 (1.16–2.33)0.00526
 Autism985.82673.981.54 (1.12–2.11)0.00068
Control set 286958973
 ADHD744.44653.901.34 (0.96–1.89)0.08708
 Autism956.00593.541.75 (1.27–2.46)0.00080
Table 4.

Number, Rate, and Odds Ratio of ADHD and Autism in the Children of Mothers With PCOS and Matched Controls

Mental Health DisorderCasesControlsOdds Ratio (CI)P
Number(Rate pky)Number(Rate pky)
Control set 189628885
 ADHD814.81563.321.64 (1.16–2.33)0.00526
 Autism985.82673.981.54 (1.12–2.11)0.00068
Control set 286958973
 ADHD744.44653.901.34 (0.96–1.89)0.08708
 Autism956.00593.541.75 (1.27–2.46)0.00080
Mental Health DisorderCasesControlsOdds Ratio (CI)P
Number(Rate pky)Number(Rate pky)
Control set 189628885
 ADHD814.81563.321.64 (1.16–2.33)0.00526
 Autism985.82673.981.54 (1.12–2.11)0.00068
Control set 286958973
 ADHD744.44653.901.34 (0.96–1.89)0.08708
 Autism956.00593.541.75 (1.27–2.46)0.00080

Discussion

In this large retrospective database analysis, we have reported a significantly increased prevalence of depression, anxiety, bipolar disorder, and eating disorder at the time of diagnosis with PCOS compared with matched controls. There was no difference in rates of clinically recorded ASD, ADHD, or schizophrenia, although the background rate of these conditions resulted in the study being underpowered for these conditions. The incidence of these conditions following the index date was also increased for patients with PCOS. In addition, we have reported increased rates of ASD and ADHD in the children of women with PCOS compared with controls.

Our findings of an increased prevalence of depression and anxiety in women with PCOS are consistent with a number of cross-sectional studies using screening tools, such as the Beck Depression/Anxiety Inventory or the Hospital Anxiety and Depression Scale. This risk is maintained even when only moderate-to-severe symptoms are considered and when the diagnosis is made by a psychiatrist (31, 32). We also observed an increased incidence of depression and anxiety when we matched patients and controls for a prior history of mental health disorder. Similarly increased risks of developing depression and anxiety with time have been found in Taiwanese (17) and Australian (33) patients with PCOS.

A number of potential mechanisms may be in operation. Obesity, which is itself associated with depression and anxiety (9, 10), is a common comorbidity in women with PCOS and could explain some of this risk. However, in a systematic review and meta-analysis of cross-sectional studies (32), the increased odds of depressive and anxiety symptoms persisted even when subjects with PCOS were matched on BMI with controls, indicating that factors other than obesity must be contributing. Hyperandrogenism is a hallmark of PCOS and may lead to the emotionally distressing symptoms of hirsutism and acne. High patient-rated Ferriman-Gallwey scores, as a measure of hirsutism, have been associated with higher Hospital Anxiety and Depression Scale depression and anxiety scores in women presenting to dermatology clinics for hair removal (34). Ferriman-Gallwey scores were also increased in PCOS subjects with anxiety and depression symptoms, and free testosterone levels were higher in women with PCOS and anxiety compared with those with no anxiety (32). However, the relationship between androgen levels and affective symptoms may not be so clear cut, as others have shown an association of lower testosterone and androgen metabolite concentrations with worse self-reported depression symptoms in women with PCOS (35). Increased changes in testosterone concentrations across the perimenopause have also been associated with depression (36, 37). Fertility may be another major concern for women with PCOS, although depression and anxiety scores remain higher than controls in studies where this has been included (32, 38). Of interest, insulin resistance has also been proposed as a potential mechanism by which depression and anxiety might be increased in PCOS. Insulin resistance, a characteristic of both lean and overweight patients with PCOS, shows a bidirectional relationship with depression in the general population (39), whereas in a recent study of PCOS subjects, insulin resistance was associated with depression risk independently of age, BMI, ethnicity, and exercise (40).

In contrast to depression and anxiety, only a few studies have examined the risk of other psychiatric disorders in women with PCOS. However, two population-based studies have shown that the risk of mental health disorders in PCOS may be broader than previously recognized, with increased odds of bipolar disorder, schizophrenia, personality disorders, ASD, bulimia, and tics, in addition to depression and anxiety (17, 41). Whereas we were underpowered to show an effect of PCOS on ASD, ADHD, and schizophrenia, we did confirm an increased prevalence and incidence of bipolar disorder compared with matched controls. Valproate therapy could, at least in part, explain this association, as symptoms compatible with PCOS have been reported in women treated for bipolar disorder with valproate (42). However, other studies have shown that symptoms predate treatment (43). Furthermore, in keeping with another registry study (41), we found that this association, although slightly attenuated, persisted when excluding subjects treated with valproate before diagnosis. The prevalence and incidence of an eating disorder were also higher in patients with PCOS. This is in keeping with other studies (19, 20), which have shown an association of binge eating with menstrual dysfunction (44) and a higher rate of eating disorders in women with PCOS, especially in the presence of concurrent anxiety (20).

As the intrauterine environment is known to be important in regulating child neurodevelopment, we were also keen to examine the effect of maternal PCOS status (and potential hyperandrogenism) on the risk of neurodevelopmental disorders in their children. Our linkage analysis found an increased risk of a recorded diagnosis of ASD and ADHD in children born to mothers with PCOS. This is in agreement with the observations of Kosidou et al. (28, 45), who reported, respectively, increased risks of 59% and 42% of a similar magnitude to our data. They have recently extended their observations in relation to ASD to report an increased risk in mothers with a diagnosis of hirsutism (46). These data support the view that increased exposure to androgens in utero might adversely influence brain development. Indeed, intra-amniotic Δ-4 sex-steroid levels, including testosterone and androstenedione, were found to be higher in mothers of children who subsequently developed ASD than those who did not (47). PCOS might expose the developing fetus to excess androgens, as women with PCOS show increased circulating androgen levels during gestation and have greater placental androgenic capacity (48–50). Prenatal androgen exposure might increase ASD and ADHD risk through effects on dendritic morphology, neuronal density, abnormal synapse function, and morphology (51, 52). In this regard, our recent findings of altered white-matter microstructure in women with PCOS, notably in androgen-sensitive areas, such as the corpus callosum (27), are intriguing and merit further investigation. Maternal androgen excess might also predispose to anxiety in the children of mothers with PCOS: in a rodent model, prenatal androgen exposure resulted in increased anxiety-like behavior in offspring, mediated via androgen receptor activation in the amygdala and accompanied by changes in serotonergic and γ-aminobutyric acid genes in the amygdala and hippocampus (53).

Whereas environmental influences, such as androgen exposure, may go some way to explain the effects of PCOS on mental health risk, other explanations for these findings also merit consideration. In a nationwide Swedish registry study, Cesta et al. (41) found a higher risk for a range of psychiatric disorders, not only in PCOS subjects but also in their siblings. Endocrine disturbances could account for these findings, as nearly 50% of sisters of women with PCOS are hyperandrogenic (54), whereas their brothers also have alterations in gonadotropin and steroidogenic hormone secretion (55). Alternatively, shared familial factors between PCOS and psychiatric disorders may exist, including a common genetic predisposition, as well as shared psychosocial factors in childhood.

Our study has a number of strengths, especially the large, population-based sample and adjustment for a number of potential confounders. However, our study also has limitations. As with all database studies, there is the possibility of confounding and bias that should be considered when interpreting these results. Patients with PCOS had significantly increased primary-care contacts in the 12 months before baseline (six vs four in both control sets). This may be a result of consultations relating to symptoms and investigations relevant to the PCOS diagnosis, but they may also relate to the prevalence of other conditions that may be associated with other health-related morbidities.

Observation bias may also be a factor in these results, as patients with increased contacts with health professionals, necessitated by the presence of a condition, such as PCOS, have an increased chance of other conditions, such as depression and anxiety being diagnosed and recorded within the dataset. We deliberately used a broad range of codes to determine depression and anxiety, as there is evidence that over the study time period, there has been a shift in primary care, such that the recording of clinical diagnoses of depression has reduced, whereas the recording of depressive symptoms has increased. Overall, however, the combined rate for the incidence of diagnoses and symptoms has remained relatively stable (56). It is possible, however, that some symptom terms, such as “feeling depressed,” may be less indicative of clinically relevant depression than diagnosis terms, such as “chronic depression.” Whereas there may be some ambiguity surrounding depression and anxiety, this is less likely for bipolar disorder, which was increased in the population with PCOS compared with controls.

There were significant missing data in this study. BMI was not available for >50% of cases, although obesity is known to be associated with depression and anxiety (9, 10) and also with PCOS. To compensate for this, we modeled BMI as a categorical variable, with “missing” included as a category, but it should be considered that different levels of BMI within the missing category could partially explain some of the observed results in this study.

In conclusion, our study confirms that women with PCOS are at an increased risk of being diagnosed with depression, anxiety, bipolar disorder, and eating disorder and that their children are at an increased risk of a diagnosis of ASD and ADHD. Our data support international guidelines that recommend screening for mental health disorders as part of the comprehensive clinical care for women with this condition (57, 58). Further research is critical in understanding the mechanisms by which these risks arise to optimize interventions to reduce psychiatric morbidity.

Abbreviations:

    Abbreviations:
     
  • ADHD

    attention deficit hyperactivity disorder

  •  
  • ASD

    autism spectrum disorder

  •  
  • BMI

    body mass index

  •  
  • CI

    confidence interval

  •  
  • CPRD

    Clinical Practice Research Datalink

  •  
  • HES

    Hospital Episode Statistics

  •  
  • HR

    hazard ratio

  •  
  • IQR

    interquartile range

  •  
  • PCOS

    polycystic ovary syndrome

  •  
  • pky

    per 1000 patient years

Acknowledgments

Disclosure Summary: The authors have nothing to disclose.

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Supplementary data