Hum. Reprod. Advance Access originally published online on February 3, 2006
Human Reproduction 2006 21(4):1092-1099; doi:10.1093/humrep/dei409
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Determinants of emotional distress in women with polycystic ovary syndrome
1 Department of Medical Psychology, 2 Endokrinologikum Ruhr, Center for Endocrine and Metabolic Diseases, Bochum, Germany, 3 Division of Endocrinology, Department of Medicine and 4 Department of Obstetrics and Gynaecology, University Hospital of Essen Medical School, Hufelandstr. 55, 45122 Essen, Germany
5 To whom correspondence should be addressed. E-mail: sigrid.elsenbruch{at}uni-essen.de
| Abstract |
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BACKGROUND: The goals were to analyse the incidence of mental distress in women with untreated polycystic ovary syndrome (PCOS) using self-report measures, to characterize PCOS patients at risk for psychiatric disease with regard to sociodemographic and clinical characteristics, and to assess the impact of emotional distress on quality of life. METHODS AND RESULTS: Complete metabolic, hormonal, clinical and self-report psychological data [emotional distress, Symptom Check List 90 (SCL-90-R); quality of life, Short-Form Health Survey 36 (SF-36); sexual satisfaction, visual analogue scales; sociodemographic data] were obtained from n = 143 untreated women with PCOS. Prior psychiatric diagnoses were exclusionary. Twenty-two patients (15.4%) had a possible psychological disorder, based on SCL-90-R global severity index (GSI) scores
63 (SCL cases). SCL cases had significantly elevated body mass index (BMI), but did not differ from SCL non-cases in other clinical, endocrine, metabolic or sociodemographic variables. Stepwise multiple regression analyses identified GSI as a significant predictor of SF-36 Psychological Sum score, along with age and current wish to conceive (R2 = 0.47); the SF-36 Physical Sum score was predicted by BMI and education (R2 = 0.27), but not GSI. CONCLUSIONS: Psychiatric illness may go undetected in a proportion of PCOS patients. Although the majority of patients exhibit subclinical levels of psychological disturbances, emotional distress together with obesity lead to large decrements in quality of life in PCOS.
Key words: distress/infertility/PCOS/SCL-90-R/quality of life
| Introduction |
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Polycystic ovary syndrome (PCOS) affects >5% of women of reproductive age (Knochenhauer et al., 1998
| Materials and methods |
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Recruitment of patients
Consecutive patients were recruited from January 2002 to June 2004 from the outpatient clinics of the Department of Medicine, Division of Endocrinology, University Hospital of Essen Medical School, Germany, based on referrals from gynaecologists in the surrounding area or patients attracted by the clinics homepage. Diagnosis was established based on the criteria derived from the 1990 NIH conference, diagnosis of PCOS when oligomenorrhoea (cycles lasting >35 days) or amenorrhoea (<3 cycles in the past 6 months) and either clinical signs of hyperandrogenism [hirsutism with a FerrimanGallwey score of
6 (Ferriman and Gallwey, 1961
3 months before entering the study. The study protocol was approved by the Ethics Committee of the University of Duisburg, Essen. All participants gave informed written consent.
Instruments and measures
Psychological distress
The German version (Franke, 1995
; Schmitz et al., 2000
) of the Symptom Check List 90 (SCL-90-R) (Derogatis, 1983
) was used to assess mental well-being. This widely used screening tool, which can be used for screening against putative cases of psychiatric/psychological illness, contains 90 items with a 5-point scale (0 = not at all, 4 = extremely), and assesses symptomatology in nine areas (Somatization, ObsessiveCompulsive, Interpersonal Sensitivity, Depression, Anxiety, Aggression, Phobia, Paranoid Ideation, Psychoticism). The average score of all 90 items yields the global severity index (GSI), which represents the overall level of distress. GSI t scores
63 identify cases with possible mental disorder (SCL cases) (Derogatis, 1983
; Jacobson et al., 1997
; de Groot et al., 1999
; Schmitz et al., 2000
; Bulow et al., 2002
; Beutel et al., 2005
). In addition, two additional global scores are calculated, the Positive Symptom Distress Index (PSDI) which indicates the intensity of distress, and the Positive Symptom Total (PST), which is the total number of distress-inducing symptoms. Higher scores on the scales of the SCL-90-R indicate higher distress; it should be noted that individual scales cannot be interpreted in diagnostic categories.
Health-related quality of life
Quality of life was assessed with the German version of Short-Form Health Survey 36 (SF-36) (Ware et al., 1998
), a widely used and validated instrument containing a total of eight subscales, namely Physical Function, Physical Role Function, Bodily Pain, General Health, Vitality, Social Function, Emotional Role Function, and Mental Health. In addition, the subscales are combined to yield two summary health status measures, the Physical Sum scale and the Psychological Sum scale (Ware and Sherbourne, 1992
; McHorney et al., 1993
, 1994
).
Sexual satisfaction and sexual self-worth
Sexual satisfaction was assessed using 100 mm visual analogue scales (VAS) ranging from not at all at the 0 mm mark to very much at the 100 mm mark as previously described (Elsenbruch et al., 2003
). Included were items regarding the impact of hirsutism on sexuality and on the ability to make social contacts, the importance of a satisfying sex life, satisfaction with the sex life during the past month, sexual thoughts and fantasies during the past month, frequency of pain during sexual intercourse, and the feeling of being sexually attractive. Women were instructed to place a mark at the point that best corresponded with their feelings. In this context, there were also items documenting the partnership situation of the subjects, including information about marital status as well as number and duration of relationships. The frequency of sexual intercourse during the past month was also recorded.
Laboratory and clinical parameters
For biochemical analyses, automated chemiluminescence immunoassay systems were used for the determination of LH, FSH, testosterone and blood glucose (ADVIA Centaur, Bayer Vital, Fernwald, Germany), and insulin (Immulite 2000; DPC Biermann, Bad Nauheim, Germany). Intra-assay variation was <5% and inter-assay variation was <8% for all parameters. Parameters of insulin resistance and hyperinsulinaemia were evaluated using a 2 h oral glucose tolerance test (OGTT). Insulin resistance was defined by the homeostasis model assessment (HOMA) model (Matthews et al., 1985
) and hyperinsulinaemia by calculating the area under the insulin response curve (AUC-I). Except for amenorrhoeic women, all laboratory parameters were determined in the early follicular phase of the menstrual cycle.
Clinical parameters were assessed by physical examination, including a subjective determination of the presence or absence of acne and the degree of hirsutism by evaluating the FerrimanGallwey score (FG) and anthropometric measurements including body weight in kg and body mass index (BMI) calculated as weight/(height)2 (kg/m2). FG scores were routinely evaluated by two physicians independently and never differed by more than two and when not identical, were re-evaluated by a third physician and the median value used. Metabolic syndrome was diagnosed according to the IDF criteria (http://idf.org/webdata/docs/IDF_Metasyndrome_definition.pdf).
Analyses
The SCL-90-R and SF-36 were scored and analysed according to the published guidelines (Franke, 1995
; Ware et al., 1998
; Schmitz et al., 2000
). For VAS scales, the distance from 0 mm to the patients mark was measured in millimetres.
Patients were allocated into two groups based on the SCL-90-R GSI t-scores consisting of: (i) patients with possible psychological disorder (SCL cases with GSI
63); and (ii) patients with levels of psychological distress in the normal range (SCL non-cases with GSI <63). Two types of analyses were subsequently carried out.
(A) To explore possible differences between SCL cases and SCL non-cases in sociodemographic, clinical, or psychological variables, these two patient groups were statistically compared using independent sample t-tests for comparisons of means of the different questionnaire scales, and using
2-tests for analyses of frequency distributions (i.e. sociodemographic and clinical parameters shown in Table I). Group means on the scales of the SCL-90-R and SF-36 were also compared to the female German reference population (German norm) using independent-sample t tests. All questionnaire results are reported both without and with adjustment of
for multiple comparisons. To avoid inflation of the risk of Type I error,
levels were adjusted using the conservative Bonferroni method, which applies an adjusted
level that is calculated based on the number of scales in each questionnaire (Dunn, 1961
). Data are presented as mean ± SE of the mean (SEM), unless otherwise indicated.
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(B) Given the existence of large differences in health-related quality of life, measured with the SF-36 scales, between SCL cases and SCL non-cases, we aimed to address the contribution of psychological distress, measured with the GSI, to health-related quality of life in PCOS. To identify variables which could be used to predict the SF-36 Physical Sum score and the SF-36 Psychological Sum score, we carried out stepwise multiple regression with the following variables as predictors: continuous predictor variables were BMI, age, HOMAinsulin restistance (IR), serum testosterone levels, hirsutism score; dichotomous predictor variables were education (>10 versus
10 years), children (with versus without children), present wish to conceive (wish exists versus wish does not exist), anxiety about remaining without child (anxiety is reported versus is not reported), with a partner for >6 months (yes versus no), and metabolic syndrome (fulfil criteria versus does not fulfil criteria). To assess the unique contribution of GSI, a second set of multiple regression analyses was computed additionally including GSI as predictor variable. The rationale was that the difference between the amount of explained variance between the first model without the GSI and the second model which included the GSI indicates the unique contribution of GSI to health-related quality of life, measured with SF-36.
| Results |
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Sociodemographic and clinical characteristics of PCOS cases and PCOS non-cases
All patients who came to our clinic for evaluation had symptoms suggestive of the diagnosis (usually menstrual irregularities and difficulties conceiving), and although some were referred with a suspected diagnosis, in all cases, definite confirmation of the diagnosis was accomplished in our clinic. Therefore, we do not have exact information on the duration of symptomatology prior to the confirmation of the diagnosis. However, patients typically report symptoms since the beginning of puberty, which often go undiagnosed until several years later.
Complete metabolic, hormonal, clinical and psychosocial data were available from a total of n = 143 PCOS patients. The present sample represents a subset of patients which we have previously described in detail with regard to clinical and biochemical characteristics (Hahn et al., 2005
). Out of all 143 patients, 22 (15.4%) had a GSI
63, indicating marked psychological distress and probable psychological/psychiatric illness (SCL cases). The distribution of GSI data is shown in Figure 1. When compared to SCL non-cases as well as the German norm, SCL cases demonstrated significant elevation on all SCL-90-R dimensions (Figure 2). Scores of PCOS patients in the SCL non-cases group did not differ from the German norm, except for the dimensions Interpersonal Sensitivity, Depression, Phobia, and the PSDI (Figure 2). Following
adjustment, only differences in Interpersonal Sensitivity and Phobia remained statistically significant.
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SCL cases did not differ from SCL non-cases in sociodemographic characteristics such as age, marital status, and education (Table I). With regard to clinical parameters, a significantly greater proportion of SCL cases was clinically obese (Table I). No additional group differences were found for other clinical, endocrine or metabolic variables, including hirsutism score, LH/FSH ratio, serum testosterone, HOMA-IR, AUC-I, or the percentage of patients with metabolic syndrome (Table I). Although a significantly greater proportion of SCL cases had children, the groups did not differ significantly with regard to either the proportion of patients with a currently unfulfilled wish to conceive or with the proportion of patients with anxiety to remain without child (Table I).
Health-related quality of life (SF-36)
SCL cases demonstrated profound reductions in health-related quality of life, measured with the SF-36 scales. Compared to both SCL non-cases as well as the German norm, SCL cases had significantly lower scores, indicating reduced quality of life, on all scales of the SF-36 (Figure 3). Comparisons of SCL non-cases with the German norm revealed decreased scores on all SF-36 scales, except for the scale Physical Role Function, and the Physical Sum score (Figure 3), indicating reduced quality of life despite normal levels of psychological distress.
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Sexual satisfaction and sexual self-worth (VAS scales)
Whereas there were no group differences in either the reported frequency of sexual intercourse or the amount of sexual thoughts and fantasies, SCL cases were significantly less satisfied with their sex life (Table I). In addition, SCL cases found themselves significantly less sexually attractive compared to SCL non-cases, and tended to report more difficulties forming social contacts due to their outer appearance (Table II).
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Regression analyses
Given the existence of large differences in health-related quality of life between SCL cases and SCL non-cases, we addressed the contribution of psychological distress, measured with the GSI, to health-related quality of life using stepwise multiple regression analyses. Criteria were the SF-36 Physical Sum score and the SF-36 Psychological Sum score. Excluding GSI, predictors for the SF-36 Physical Sum score were BMI (
= 0.314, P < 0.001) and education (
= 0.292, P < 0.001). This model explained 22% of the Physical Sum score variability (adjusted R2 = 0.22). Including the GSI did not appreciably change the outcome (R2 = 0.27), with education (
= 0.335, P < 0.001) and BMI (
= 0.319, P < 0.01) again entering the model.
On the other hand, including GSI had a large impact on the results for the Psychological Sum score. Without GSI, current wish to conceive (
= 0.265, P < 0.01) and age (
= 0.194, P < 0.05) entered the model, which explained merely 10% of the variance in Psychological Sum score (R2 = 0.1). However, when GSI was included, GSI entered the model (
= 0.674, P < 0.01), as did education (
= 0.172, P < 0.05). The model with GSI explained 47% of the variance (R2 = 0.474).
| Discussion |
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Since PCOS is a very common disease encountered by both gynaecologists and endocrinologists, a more refined psychosocial comprehension of this disease has important clinical and research implications. Despite increasing evidence of decreased quality of life, mood disturbances, and problems with female identity in women with PCOS (Bruce-Jones et al., 1993
63 indicate markedly increased levels of psychological distress and identify cases with probable mental disorder (SCL cases) (Derogatis, 1983
In our sample, SCL cases did not differ from patients with normal levels of distress (SCL non-cases) with regard to age, marital status, education, or current wish to conceive. Out of all clinical and metabolic measures, only BMI was identified as being significantly greater in SCL cases. These findings suggest that obesity may represent a risk factor for psychological distress, decreased quality of life, as well as sexual dissatisfaction in patients with PCOS, which is supported by previous studies (Elsenbruch et al., 2003
; Hashimoto et al., 2003
; Rasgon et al., 2003
; Trent et al., 2005
; McCook et al., 2005
). Consistent with findings in other endocrinological patient populations, emotional distress was found to have a profound and negative impact on quality of life as well as on sexual satisfaction and sexual self-worth in our sample of PCOS patients. SCL cases were characterized by marked and significant reductions in quality of life, which were particularly pronounced in areas of quality of life concerning mental and social well-being. We subsequently aimed to address the contribution of emotional distress to the observed reductions in quality of life in patients with PCOS using stepwise multiple regression analyses. Our model identified GSI as a significant predictor of decreased quality of life in areas representing emotional and social functioning, along with age and current wish to conceive. With this model, a substantial amount of variance (47%) in the SF-36 Psychological Sum score could be explained. Interestingly, excluding GSI from entering this model reduced the amount of explained variance to 10%, a finding which clearly underscores the pivotal role of GSI in psychosocial aspects of quality of life. On the other hand, psychological distress did not contribute to the prediction of physical quality of life (i.e. the SF-36 Physical Sum score), which was predicted by BMI and education. These data strongly support the notion that emotional distress and psychiatric morbidity are the major factors in explaining the decrements in psychosocial areas of quality of life in PCOS. On the other hand, obesity clearly contributes to decrements in the physical aspects of quality of life, in women with PCOS. In addition, obesity may also have a negative impact on sexual self-worth, body image, and sexual satisfaction. We did not statistically address the role of obesity in sexual dissatisfaction in PCOS, since almost all patients in our sample of SCL cases were overweight, but the importance of obesity in PCOS-related sexuality problems should be further explored.
These findings have important implications for clinicians who should be aware of possible psychological/psychiatric disorders in patients with PCOS. Except for obesity, which appears to be a risk factor, our data suggest that the degree of emotional problems and reduced quality of life can neither be predicted by the presence or absence of clinical symptoms, nor can psychosocial well-being be expected to be proportional to symptom severity. Hence, it would be important to pay attention to the psychosocial dimension of PCOS on an individual basis, regardless of symptom severity. It remains to be determined whether or not the psychosocial problems of PCOS can be ameliorated with the treatment of clinical symptoms alone. Based on recent data from other endocrine patient populations which clearly show persisting psychological distress and reduced quality of life even following treatment (Bulow et al., 2002
; Sonino et al., 2004
), one may speculate that the treatment of PCOS may require more than attention to medical symptoms alone. In order to enhance our understanding of the undoubtedly complex interactions between psychosocial and medical aspects of PCOS, an interdisciplinary approach not only involving gynaecologists and endocrinologists, but also psychologists and psychiatrists, is warranted.
| References |
|---|
|
|
|---|
Asuncion M, Calvo RM, San Millan JL, Sancho J, Avila S and Escobar-Morreale HF (2000) A prospective study of the prevalence of the polycystic ovary syndrome in unselected Caucasian women from Spain. J Clin Endocrinol Metab 85,24342438.
Azziz R (2004) PCOS: a diagnostic challenge. Reprod Biomed Online 8,644648.[Web of Science][Medline]
Azziz R, Woods KS, Reyna R, Key TJ, Knochenhauer ES and Yildiz BO (2004) The prevalence and features of the polycystic ovary syndrome in an unselected population. J Clin Endocrinol Metab 89,27452749.
Beutel ME, Hoflich A, Kurth RA and Reimer C (2005) Who benefits from inpatient short-term psychotherapy in the long run? Patients evaluations, outpatient after-care and determinants of outcome. Psychol Psychother 78,219234.[CrossRef][Web of Science][Medline]
Bruce-Jones W, Zolese G and White P (1993) Polycystic ovary syndrome and psychiatric morbidity. J Psychosom Obstet Gynaecol 14,111116.[Medline]
Bulow B, Hagmar L, Ïrbaek P, Osterberg K and Erfurth EM (2002) High incidence of mental disorders, reduced mental well-being and cognitive function in hypopituitary women with GH deficiency treated for pituitary disease. Clin Endocrinol (Oxf) 56,183193.[CrossRef][Medline]
Carmina E (2003) Genetic and environmental aspect of polycystic ovary syndrome. J Endocrinol Invest 26,11511159.[Web of Science][Medline]
Chang RJ (2004) A practical approach to the diagnosis of polycystic ovary syndrome. Am J Obstet Gynecol 191,713717.[CrossRef][Web of Science][Medline]
Coffey S and Mason H (2003) The effect of polycystic ovary syndrome on health-related quality of life. Gynecol Endocrinol 17,379386.[CrossRef][Web of Science][Medline]
de Groot M, Jacobson AM, Samson JA and Welch G (1999) Glycemic control and major depression in patients with type 1 and type 2 diabetes mellitus. J Psychosom Res 46,425435.[CrossRef][Web of Science][Medline]
Derogatis L (1983) SCL-90-R Administration, Scoring and Procedures Manual. Clinical Psychometric Research, Towson, MD.
Dunn OJ (1961) Multiple comparisons among means. J Am Stat Assoc 56,5264.[CrossRef][Web of Science]
Eggers S and Kirchengast S (2001) The polycystic ovary syndromea medical condition but also an important psychosocial problem. Coll Antropol 25,673685.[Web of Science][Medline]
Elsenbruch S, Hahn S, Kowalsky D, Offner AH, Schedlowski M, Mann K and Janssen OE (2003) Quality of life, psychosocial well-being and sexual satisfaction in women with polycystic ovary syndrome. J Clin Endocrinol Metab 88,58015807.
Ferriman D and Gallwey JD (1961) Clinical assessment of body hair growth in women. J Clin Endocrinol Metab 21,14401447.
Franke GH (1995) SCL-90-R. Die Symptom-Checkliste von Derogatis, Deutsche Version, Beltz Test, Göttingen.
Franks S (2003) Assessment and management of anovulatory infertility in polycystic ovary syndrome. Endocrinol Metab Clin North Am 32,639651.[CrossRef][Web of Science][Medline]
Greil AL (1997) Infertility and psychological distress: a critical review of the literature. Soc Sci Med 45,16791704.[CrossRef][Web of Science][Medline]
Guerra D, Llobera A, Veiga A and Barri PN (1998) Psychiatric morbidity in couples attending a fertility service. Hum Reprod 13,17331736.
Hahn S, Tan S, Elsenbruch S, Quadbeck B, Herrmann BL, Mann K and Janssen OE (2005) Clinical and biochemical characterization of women with polycystic ovary syndrome in North Rhine-Westphalia. Horm Metab Res 37,438444.[CrossRef][Web of Science][Medline]
Hashimoto DM, Schmid J, Martins FM, Fonseca AM andrade LH, Kirchengast S and Eggers S (2003) The impact of the weight status on subjective symptomatology of the polycystic ovary syndrome: a cross-cultural comparison between Brazilian and Austrian women. Anthropol Anz 61,297310.[Medline]
Homburg R (2003) The management of infertility associated with polycystic ovary syndrome. Reprod Biol Endocrinol 1,109.[CrossRef][Medline]
Jacobson AM, de Groot M and Samson JA (1997) The effects of psychiatric disorders and symptoms on quality of life in patients with type I and type II diabetes mellitus. Qual Life Res 6,1120.[CrossRef][Web of Science][Medline]
Kitzinger C and Willmott J (2002) The thief of womanhood: womens experience of polycystic ovarian syndrome. Soc Sci Med 54,349361.[CrossRef][Web of Science][Medline]
Knochenhauer ES, Key TJ, Kahsar-Miller M, Waggoner W, Boots LR and Azziz R (1998) Prevalence of the polycystic ovary syndrome in unselected black and white women of the southeastern United States: a prospective study. J Clin Endocrinol Metab 83,30783082.
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF and Turner RC (1985) Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28,412419.[CrossRef][Web of Science][Medline]
McCook JG, Reame NE and Thatcher SS (2005) Health-related quality of life issues in women with polycystic ovary syndrome. J Obstet Gynecol Neonatal Nurs 34,1220.[CrossRef][Web of Science][Medline]
McHorney CA, Ware JE and Raczek AE (1993) The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Med Care 31,247263.[Web of Science][Medline]
McHorney CA, Ware JE, Lu JF and Sherbourne CD (1994) The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions and reliability across diverse patient groups. Med Care 32,4066.[Web of Science][Medline]
Oddens BJ, den Tonkelaar I and Nieuwenhuyse H (1999) Psychosocial experiences in women facing fertility problemsa comparative survey. Hum Reprod 14,255261.
Rasgon NL, Rao RC, Hwang S, Altshuler LL, Elman S, Zuckerbrow-Miller J and Korenman SG (2003) Depression in women with polycystic ovary syndrome: clinical and biochemical correlates. J Affect Disord 74,299304.[CrossRef][Web of Science][Medline]
Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group (2004) Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril 81,1925.[Web of Science][Medline]
Schmid J, Kirchengast S, Vytiska-Binstorfer E and Huber J (2004) Infertility caused by PCOShealth-related quality of life among Austrian and Moslem immigrant women in Austria. Hum Reprod 19,22512257.
Schmitz N, Hartkamp N, Kiuse J, Franke GH, Reister G and Tress W (2000) The Symptom Check-List-90-R (SCL-90-R): a German validation study. Qual Life Res 9,185193.[CrossRef][Web of Science][Medline]
Sills ES, Perloe M, Tucker MJ, Kaplan CR, Genton MG and Schattman GL (2001) Diagnostic and treatment characteristics of polycystic ovary syndrome: descriptive measurements of patient perception and awareness from 657 confidential self-reports. BMC Womens Health 1,3.
Sonino N, Navarrini C, Ruini C, Ottolini F, Paoletta A, Fallo F, Boscaro M and Fava GA (2004) Persistent psychological distress in patients treated for endocrine disease. Psychother Psychosom 73,7883.[CrossRef][Web of Science][Medline]
Trent M, Austin SB, Rich M and Gordon CM (2005) Overweight status of adolescent girls with polycystic ovary syndrome: body mass index as mediator of quality of life. Ambul Pediatr 5,107111.[CrossRef][Web of Science][Medline]
Trent ME, Rich M, Austin SB and Gordon CM (2002) Quality of life in adolescent girls with polycystic ovary syndrome. Arch Pediatr Adolesc Med 156,556560.
Trent ME, Rich M, Austin SB and Gordon CM (2003) Fertility concerns and sexual behavior in adolescent girls with polycystic ovary syndrome: implications for quality of life. J Pediatr Adolesc Gynecol 16,3337.[CrossRef][Medline]
Ware JE and Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30,473483.[Web of Science][Medline]
Ware JE, Gandek B, Kosinski M, Aaronson NK, Apolone G, Brazier J, Bullinger M, Kaasa S, Leplege A, Prieto L et al (1998) The equivalence of SF-36 summary health scores estimated using standard and country-specific algorithms in 10 countries: results from the IQOLA Project. International Quality of Life Assessment. J Clin Epidemiol 51,11671170.[CrossRef][Web of Science][Medline]
Weiner CL, Primeau M and Ehrmann DA (2004) Androgens and mood dysfunction in women: comparison of women with polycystic ovarian syndrome to healthy controls. Psychosom Med 66,356362.
Submitted on September 14, 2005; resubmitted on October 24, 2005; accepted on November 2, 2005.
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