Brief reportDepression in women with polycystic ovary syndrome: clinical and biochemical correlates
Introduction
The relationship between affective illness and endocrine systems has generated considerable interest in recent years (Weber et al., 2000, Horacek et al., 1999, Fava et al., 1989). We have previously reported an increased prevalence of menstrual abnormalities among women with primary psychiatric diagnosis (bipolar affective disorder) (Rasgon et al., 2000). Based on these findings we were interested to evaluate mood among patients with primary endocrine dysfunction, namely polycystic ovary syndrome (PCOS).
PCOS is the most common endocrine disorder among women of reproductive age (Franks, 1995). PCOS is characterized by androgen hypersecretion, insulin resistance and chronic anovulation (Franks, 1995, Futterweit, 1999). Clinical manifestations include hirsutism, acne, alopecia, menstrual irregularities, obesity (in 50% of cases; Dunaif et al., 1989) and infertility. Hyperandrogenism in PCOS can be the result of androgen overproduction by the adrenals as well as the ovaries (Gonzalez, 1997), and in turn it can lead to hyperinsulinemia and insulin resistance (Dunaif et al., 1989). Hyperinsulinemia plays a significant role in the pathogenesis of PCOS. Insulin promotes androgen production by ovarian thecal cells (Yen, 1991). Obesity itself increases the risk of insulin resistance, although insulin resistance can also occur in the absence of obesity (Dunaif et al., 1989, Chang et al., 1983). The treatment with oral contraceptives (OCP) can interrupt the ‘vicious circle’ between hyperandrogenism and insulin resistance through the modulation of the hypothalamic–pituitary–gonadal (HPG) regulatory system (Yen, 1991).
Women with hyperandrogenic syndromes may be at an increased risk for mood disorders (Fava et al., 1989, Bruce-Jones et al., 1993) due to an association between elevated androgen levels and depression (Shulman et al., 1992, Baischer et al., 1995, Weber et al., 2000). Our assessments of mood among women who identified themselves as having PCOS (i.e. visitors to the National PCOS Association Website and participants of PCOS Society meetings) yielded extraordinarily high rates of depression (89% and 65%, respectively; Rao et al., 2001). These findings although potentially biased by self-selection, provided data for speculation and were provocative enough to undertake the current investigation. The present study aimed to assess the prevalence of depression among women with documented PCOS, and to examine associations between depression and the clinical characteristics of PCOS.
Section snippets
Subject selection and mood assessment
The Center for Epidemiological Studies–Depression Scale (CES-D), a self-administered screening dimensional measure (Radloff, 1977), was used to assess mood symptoms in women with PCOS. Screening was carried out among women referred to the Reproductive Endocrinology Clinic at UCLA Medical Center for diagnostic confirmation of PCOS, who were asked to participate in the study and complete the CES-D and a symptom questionnaire. Each subject completed the CES-D during her initial office visit.
CES-D scores
Of 48 consecutive female patients with documented PCOS who presented to the UCLA endocrinology clinic, 16 declined participation for personal reasons (not interested, lack of time, etc.), and were not significantly different in any way from the study group. Of 32 subjects who completed the CES-D, 16 (50%) women had scores ≥16 and were considered depressed.
Clinical and biochemical correlates with CES-D scores
Analysis of CES-D scores among prospectively evaluated women revealed higher rates of depression in untreated patients (66%) compared to
Discussion
This pilot study is the first, to our knowledge, to examine the rate of depression among women with documented PCOS and to correlate CES-D scores indicative of depression with clinical and biochemical markers of PCOS. The main findings of this study were an increased prevalence of depression in women with PCOS and an observed association between depression, insulin resistance, and BMI. The Epidemiological Catchment Area study estimated the 1-month point prevalence of depressive symptoms and
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