The Scientific World Journal

Volume 2013 (2013), Article ID 851815, 7 pages

http://dx.doi.org/10.1155/2013/851815

Research Article

Level of Anxiety, Depression, Self-Esteem, Social Anxiety, and Quality of Life among the Women with Polycystic Ovary Syndrome

Gökhan Açmaz,¹ Evrim Albayrak,² Banu Acmaz,³ Mürüvvet Başer,² Murat Soyak,⁴ Gökmen Zararsız,⁵ and İptisam İpekMüderris⁶

¹Department of Obstetrics and Gynecology, Kayseri Education and Research Hospital, Kayseri, Turkey

²Department of Health Sciences, Erciyes University, School of Medicine, Kayseri, Turkey

³Department of Internal Medicine, Erciyes University, School of Medicine, Kayseri, Turkey

⁴Department of Psychiatry, Kayseri Education and Research Hospital, Kayseri, Turkey

⁵Department of Statistics, Erciyes University, School of Medicine, Kayseri, Turkey

⁶Department of Obstetrics and Gynecology, Erciyes University, School of Medicine, Kayseri, Turkey

Received 18 April 2013; Accepted 12 June 2013

Academic Editors: J. L. Bartha, D. Schlembach, and B. Vollenhoven

Copyright © 2013 Gökhan Açmaz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Introduction. Polycystic ovary syndrome (PCOS) is a heterogeneous disease and many symptoms are seen with varying degrees. The aim of the present study was to determine which symptoms increased such problems as depression, anxiety, low self-esteem, and social worry by classifying PCOS according to symptoms. Methods. The study was carried out with two groups. The first group consisted of 86 patients who were diagnosed with PCOS and the second group consisted of 47 healthy volunteers. Liebowitz’ Social Anxiety Scale, Rosenberg’ Self-Esteem Scale, Short-Form 36, Quality of Life Scale, Beck Anxiety Inventory, and Beck Depression Inventory were administered to each volunteer. Results. Depression scores of infertile group were higher while anxiety scores of the obese group were bigger than other groups. It was the obesity group that received the smallest score in self-esteem and trust in people and the highest score in sensitiveness to criticism. The most affected group was oligomenorrhea-hirsutism group in terms of physical functioning, physical role function, pain, social functioning, emotional role function, and emotional well-being. Conclusion. We suggest that not only gynecologist but also a multidisciplinary team may examine these patients.

1. Introduction

Polycystic ovary syndrome (PCOS) is a commonly seen endocrinologic disorder at reproductive age. Classical symptoms of the disorder which affects 10% of all women are irregular menstrual bleeding, clinical or biochemical hyperandrogenemia, and polycystic ovary syndrome appearance in ultrasonography [1]. In case of the presence of the two above-mentioned symptoms, PCOS diagnosis is made [2].

PCOS has a rather heterogeneous patient group, and many symptoms are seen with varying degrees. In the study of Vural et al. [3], there was no difference between the control group and study group in terms of body mass index, whereas Gambineri et al. [4] argued that one of the most common symptoms of PCOS was obesity, and obesity is present with a prevalence of 50%. Hirsutism and acne are the important symptoms of PCOS, and these symptoms may be the consequence of either androgen excess or increased sensitivity to androgens receptors in spite of a normal level of androgen [5]. These symptoms affect the patients psychosocially—in particular—and may cause them to keep away from the society. Particularly among the adolescent girls, it may lead to anxiety and depression as a result of the changing body perception due to the fear that they are not liked [6, 7].

In the literature, we did not find any study that investigated social anxiety and avoidance among PCOS patients. It is important to mention that ours is the first one.

One of the characteristics of PCOS is infertility and/or subfertility. Duration of infertility, duration of its treatment, types of treatment, and causes of infertility among the women who wish to have child create pressure on the couples. Also, child expectation of the society and expressing this expectation affect the depth and severity of psychiatric symptoms [8]. However, the relevant literature is rather limited and contradictory [9]. A meta-analysis published reported that depression frequency increases with PCOS. According to this meta-analysis, when previously published reviews and meta-analysis were examined, it was seen that almost all of these studies emphasized that the number of the groups was small and they discussed PCOS as a whole but did not deal with its symptoms, and therefore, the concept of causality was lost [10].

The aim of the present study was to determine which symptoms increased such problems as depression, anxiety, low self-esteem, and social worry by classifying PCOS according to symptoms and to help the treatment-to-be-used for PCOS be individualized by exploring how much quality of life of women was affected by these problems experienced by women.

2. Method

This study was conducted at Kayseri Education and Research Hospital of Medicine. The study was approved by the Ethical Committee of University Hospital, and written informed consent was obtained from all the participants.

2.1. Participants

The study was carried out with two groups. The first group consisted of 86 patients who were diagnosed with PCOS according to 2003 Rotterdam Criteria, had no physical disease but PCOS, did not receive any treatment (before the treatment) for PCOS and had at least primary school degree. The second group consisted of 47 healthy volunteer participants in reproductive age. Those who had thyroid disorders, DM, Cushing’ disease, positive malignancy, congenital adrenal hyperplasia, psychotic disorders and used antidepressants or steroidal hormone drugs and mood stabilizers (Li, Valproic acid, etc.) were excluded from the study.

Patients with PCOS were classified according to the complaints at the time of polyclinic admission. Patients who went to the polyclinic to have child but were diagnosed with PCOS made up infertility group; patients who went to the polyclinic due to excess facial and body hair (hirsutism), acne and irregular menstrual cycles but were diagnosed with PCOS made up oligomenorrhea-hirsutism group and patients who could not lose had weight and had a BMI ≥ 30 but were diagnosed with PCOS constituted overweight-obesity group.

2.2. Data Collection

Liebowitz’ Social Anxiety Scale (LSAS), Rosenberg’ Self-Esteem Scale (RSES), Short-Form 36 (SF-36) Quality of Life Scale, Beck Anxiety Inventory (BAI), and Beck Depression Inventory (BDI) were administered to each of the participant women. These scales and inventories were used and scored by the same psychiatrist. The Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) and the Structured Clinical Interview for DSM-IV Axis II Disorders (SCID-II) were administered and examined by the same psychiatrist, too. As a result of the examination, those who had personality disorders were not included in the study. Sociodemographic form and clinical information form were administered to the patients in PCOS group and to those in the healthy group, too. The form addressed such sociodemographic characteristics as age, educational level, income status and income perception, marital status, profession, and intention to have child.

The data collection phase of the study took six months.

2.3. Data Collection Instruments

2.3.1. Liebowitz’ Social Anxiety Scale (LSAS)

It is a Likert-type self-rated scale with 24 questions. It measures anxiety and avoidance in case of various social situations. There are two subscales that measure the severity of anxiety and avoidance experienced in different social settings. Score to be obtained from the each subscale ranges from 0 to 72 and total score of the scale changes between 0 and 144. Higher scores indicate more severe social anxiety and avoidance. The advised cutoff point is 25 for each subscale and 50 for total score. The scale was developed by Liebowitz [11], and validity and reliability tests of the Turkish form were performed by Soykan et al. [12].

2.3.2. Rosenberg’ Self-Esteem Scale (RSES)

It is a Likert-type self-rated scale composed of 10 questions and was designed by Rosenberg [13]. Validity and reliability tests of the Turkish form were performed by Çuhadaroğlu [14]. The first ten items of the scale are used to evaluate self-esteem. A total score between 0 and 1 indicates high level of self-esteem, a total score between 2 and 4 indicates moderate level of self-esteem and a total score between 5 and 6 points out low level of self-esteem [14].

2.3.3. SF-36 Quality of Life Scale

SF-36 is the most widely used scale in order to measure the quality of life. It consists of 36 questions. The scale was designed by Rand Corporation in 1992 and was put into service [15]. Validity and reliability tests of the Turkish version were performed by Koçyiğit et al. [16].

2.3.4. Beck Depression Inventory (BDI)

The inventory was developed by Beck et al. [17] and measures physical, emotional, and mental symptoms in depression. It is self-rated inventory with 21-symptom category. Higher total scores indicate higher severity of depression. Validity and reliability tests of the Turkish version were performed by Hisli [18].

2.3.5. Beck Anxiety Inventory (BAI)

It is self-rated inventory used to determine the frequency of anxiety symptoms. It is composed of 21 items and is a Likert-type inventory rated from 0 to 3. Higher total scores indicate higher severity of anxiety [19]. Validity and reliability tests of the Turkish version were performed by Ulusoy [20].

2.4. Data Analysis

The analysis of the data was performed with R 2.15.0 software. Shapiro-Wilk test was used in order to determine whether or not the data followed a normal distribution. As for variance homogeneity, Levene’ test was used. The data were presented as frequency and percentages, means ± SD or median (25th and 75th). For the qualitative data, Pearson’ chi-square analysis was performed for intergroup comparisons while for the quantitative data one-way variance analysis, Kruskal-Wallis test and Welch test were used. For the multicomparisons, Bonferroni’ corrected chi-square analyses, -test, and Mann-Whitney test were used. For all analyses, statistical significance was defined by a probability level of .

3. Results

Table 1 included the data related to women’s age, marital status, educational status, profession, income and income perception, and clinical signs of PCOS. It was seen that groups were similar in terms of age, educational status, profession, income and income perception, and living residence (). However, parameters of PCOS group were different as compared with healthy group in terms of marital status, intention to have child and the number of the children, and classic PCOS signs such as acne, hirsutism, oligomenorrhea, and obesity ().

Table 1: Basic Characteristics of study and control groups.

Variables
Control

()
Hirsutism-acnea

()
Infertility

()
Obesity

()

Age

0.143

Marital status

    Single
18 (38.3)a
15 (42.9)a
0 (0.0)b
6 (20.7)a
0.003

    Married
26 (55.3)ab
17 (48.6)b
22 (100.0)c
22 (75.9)a

    Divorced
3 (6.4)a
3 (8.6)a
0 (0.0)a
1 (3.4)a

Educational status

    Primary
9 (19.1)
7 (20.0)
6 (27.3)
7 (24.1)
0.689

    Secondary
21 (44.7)
17 (48.6)
11 (50.0)
17 (58.6)

    University
17 (36.2)
11 (31.4)
5 (22.7)
5 (17.2)

Profession

    Housewife
15 (31.9)a
13 (37.1)ab
14 (63.6)bc
18 (62.1)c
0.014

    Working
32 (68.1)a
22 (62.9)ab
8 (36.4)bc
11 (37.9)c

Income

    ≤1000
12 (25.5)
7 (20.0)
10 (45.5)
10 (34.5)
0.172

    1000–2000
28 (59.6)
27 (77.1)
10 (45.5)
16 (55.2)

    >3000
7 (14.9)
1 (2.9)
2 (9.0)
3 (10.3)

Income perception

    Sufficient
22 (46.8)
21 (60.0)
13 (59.1)
16 (55.2)
0.630

    Insufficient
25 (53.2)
14 (40.0)
9 (40.9)
13 (44.8)

Living residence

    Rent
22 (46.8)
20 (57.1)
9 (40.9)
12 (41.4)
0.545

    Landlord
25 (53.2)
15 (42.9)
13 (59.1)
17 (58.6)

Number of childs
1.00 (0.00–2.00)a
1.00 (0.00–2.00)a
0.00 (0.00-0.00)b
1.00 (0.00–2.00)a
<0.001

Intention to have child

    Yes
11 (23.4)a
10 (28.6)ab
22 (100.0)c
15 (51.7)b
<0.001

    No
36 (76.6)a
25 (71.4)ab
0 (0.0)c
14 (48.3)b

Acne

    Yes
3 (6.4)a
30 (85.7)b
9 (40.9)c
16 (55.2)c
<0.001

    No
44 (93.6)a
5 (14.3)b
13 (59.1)c
13 (44.8)c

Hirsutism

    Yes
0 (0.0)a
21 (60.0)b
8 (36.4)b
11 (37.9)b
<0.001

    No
47 (100.0)a
14 (40.0)b
14 (63.6)b
18 (62.1)b

Oligomenorrhea

    Yes
0 (0.0)a
33 (94.3)b
14 (63.6)c
9 (31.0)d
<0.001

    No
47 (100.0)a
2 (5.7)b
8 (36.4)c
20 (69.0)d

BMI (kg/m²)

<0.001

Values expressed as (%), mean ± SD, or median (25th–75th percentiles) groups with different superscript letters were found to have statistically significant differences.

Table 2 included anxiety and avoidance scores of BDI, BAI and LSAS. When the results were investigated, depression scores of infertile group were higher while anxiety scores of the obese group were bigger than other groups (). The groups of the obese and oligomenorrhea-hirsutism received higher scores in anxiety and avoidance as compared with the healthy group ().

Table 2: Evaluation of BDI, BAI, and LSAS in PCOS and control groups.

Variables
Control

()
Hirsutism-acnea

()
Infertility

()
Obesity

()

BDI

<0.001

BAI
12.00 (9.00–16.00)a
20.00 (14.00–26.00)bc
13.50 (10.00–21.00)ac
24.00 (21.00–34.00)b
<0.001

LSAS anxiety

<0.001

LSAS avoidance
40.00 (31.00–49.00)a
58.00 (49.00–68.00)b
46.00 (34.00–57.00)a
64.00 (59.00–78.00)b
<0.001

Values expressed as (%), mean ± SD, or median (25th–75th percentiles) groups with different superscript letters were found to have statistically significant differences.

Table 3 included the data related to self-esteem (SE), continuity in self-concepts (CSC), trust in people (TIP), sensitiveness to criticism (SC), depressive affect (DA), daydreaming (DD), psychosomatic symptoms (PSS), feeling threat in interpersonal relations (FTIR), intensity of discussion (ID), parental interest (PI), father-relation (FR), and psychic isolation (PsI). It was seen that it was the obesity group that received the smallest score in SE (62.1%) and TIP (44.8%) and the highest score in SC (75.9) (). It was infertile group that received the biggest score in DA (50.0%) and DD (68.2%) (). The scores of PSS and PsI were found to be considerably higher in the infertile group and the obese group (). There was no significant difference in other parameters.

Table 3: Evaluation of Self-Esteem Scale among groups.

Variables
Control

()
Hirsutism-acnea

()
Infertility

()
Obesity

()

Self-esteem

    Low
1 (2.1)a
7 (20.0)b
4 (18.2)b
18 (62.1)c
<0.001

    Medium
23 (48.9)a
25 (71.4)b
10 (45.5)a
8 (27.6)a

    High
23 (48.9)a
3 (8.6)b
8 (36.4)a
3 (10.3)b

CSC

    Low
10 (21.3)
14 (40.0)
5 (22.7)
10 (34.5)
0.238

    High
37 (78.7)
21 (60.0)
17 (77.3)
19 (65.5)

TIP

    Low
3 (6.4)a
5 (14.3)a
1 (4.5)a
13 (44.8)b
<0.001

    Medium
23 (48.9)a
18 (51.4)a
7 (31.8)a
9 (31.0)a

    High
21 (44.7)abc
12 (34.3)c
14 (63.6)b
7 (24.1)ac

SC

    Low
34 (72.3)a
21 (60.0)ab
9 (40.9)bc
7 (24.1)c
<0.001

    High
13 (27.7)a
14 (40.0)ab
13 (59.1)bc
22 (75.9)c

DA

    None
29 (61.7)a
5 (14.3)b
0 (0.0)b
2 (6.9)b
<0.001

    Low
15 (31.9)a
11 (31.4)a
3 (13.6)a
10 (34.5)a

    Medium
3 (6.4)a
12 (34.3)b
8 (36.4)b
10 (34.5)b

    High
0 (0.0)a
7 (20.0)b
11 (50.0)c
7 (24.1)bc

DD

    Low

8 (17.0)a
6 (17.1)a
0 (0.0)b
12 (41.4)c
<0.001

    Medium
20 (42.6)ab
22 (62.9)b
7 (31.8)a
12 (41.4)ab

    High
19 (40.4)a
7 (20.0)b
15 (68.2)c
5 (17.2)b

PSS

    Low
38 (80.9)a
20 (57.1)b
1 (4.5)c
2 (6.9)c
<0.001

    Medium
7 (14.9)a
14 (40.0)b
9 (40.9)b
11 (37.9)b

    High
2 (4.3)a
1 (2.9)a
12 (54.5)b
16 (55.2)b

FTIR

    None
19 (40.4)
7 (20.0)
3 (13.6)
9 (31.0)
0.108

    Medium
23 (48.9)
22 (62.9)
13 (59.1)
12 (41.4)

    High
5 (10.6)
6 (17.1)
6 (27.3)
8 (27.6)

ID

    Low
13 (27.7)
8 (22.9)
4 (18.2)
13 (44.8)
0.124

    Medium
21 (44.7)
20 (57.1)
8 (36.4)
10 (34.5)

    High
13 (27.7)
7 (20.0)
10 (45.4)
6 (20.7)

PI

    Low
3 (6.4)
3 (8.6)
0 (0.0)
2 (6.9)
0.496

    Medium
17 (36.2)
19 (54.3)
12 (54.5)
13 (44.8)

    High
27 (57.4)
13 (37.1)
10 (45.5)
14 (48.3)

FR

    Low
1 (2.1)
2 (5.7)
1 (4.5)
1 (3.4)
0.603

    Medium
19 (40.4)
20 (57.1)
9 (40.9)
11 (37.9)

    High
27 (57.4)
13 (37.1)
12 (54.5)
17 (58.6)

PsI

    Low
37 (78.7)a
19 (54.3)b
5 (22.7)c
5 (17.2)c
<0.001

    High
10 (21.3)a
16 (45.7)b
17 (77.3)c
24 (82.8)c

Values are expressed as (%), mean ± SD or median (25th–75th percentiles) groups with different superscript letters were found to have statistically significant differences.

Table 4 included mean scores related to physical functioning (PF), physical role function (PRF), pain, general health (GH), vitality, social functioning (SF), emotional role function (ERF), and emotional well-being (EWB). Although there were significant differences in all of these parameters compared to the healthy group, the most affected group was oligomenorrhea-hirsutism group in terms of PF, PRF, pain, SF, ERF, and EWB, but it was obesity group that was affected by GH most and it was infertility group that was affected by vitality most ().

Table 4: Evaluation of SF-36 scale among groups.

Variables
Control

()
Hirsutism-acnea

()
Infertility

()
Obesity

()

PF
88.00 (86.80–90.00)a
67.20 (64.00–73.80)b
74.90 (70.00–80.00)b
76.00 (70.50–80.20)b
<0.001

PRF

<0.001

Pain
89.00 (87.50–90.50)a
74.50 (69.90–81.00)b
75.00 (70.30–82.00)b
79.00 (75.00–82.00)b
<0.001

GH
74.00 (71.50–75.60)a
67.20 (58.00–71.40)b
66.30 (61.00–71.00)b
65.00 (61.00–68.00)b
<0.001

Vitality
71.00 (69.00–73.00)a
57.20 (51.00–64.40)b
55.00 (51.40–61.00)b
59.00 (55.60–61.80)b
<0.001

SF
95.50 (93.00–97.00)a
76.00 (66.80–87.00)b
80.10 (76.00–84.80)b
78.40 (76.00–84.00)b
<0.001

ERF

<0.001

EWB

<0.001

Values expressed as (%), mean ± SD, or median (25th–75th percentiles) groups with different superscript letters were found to have statistically significant differences.

4. Discussion

Recently, psychiatric morbidity in PCOS has been the research focus and an important study topic. Obesity, hirsutism, and infertility are important signs of PCOS. These signs make patients with PCOS feel different and less feminine as compared with the society, which may result in some psychiatric problems [21]. In the study, patients were sorted into groups in terms of their complaints because PCOS is a heterogeneous disease, and these groups were compared to each other and to a healthy group. In the literature, patients were generally examined only in PCOS without being classified into groups and the scales and inventories were administered without taking their complaints in consideration.

The study of Jedel et al. compared 30 patients with PCOS to 30 healthy volunteer, and found that anxiety increased in patients with PCOS but no difference existed in depression. However, authors found that the number of the children in PCOS group and control group was similar, and therefore infertile patients were not investigated exactly [22]. Hahn pointed out that depressive complaints increased among the patients with PCOS who had small number of children but higher BMI and hirsutism complaints; however, told told that anxiety was similar to those in healthy control group [6].

In a study in which 115 infertile women with PCOS were investigated, it was found out that 23.9% of the patients had moderate level of depression while 25.2% had relevant depression. It is revealed that 41% of the patients were composed of those who went to the clinics due to infertility and 72.5% of the patients did not become pregnant despite regular sexual relation for one year [23]. Our study was composed of patients all of whom could not become pregnant despite regular sexual intercourse at least for one year and therefore went to infertility clinics. In this regard, being different from the study of Tan et al., our study investigated completely infertile group and included patients who were infertile for longer periods. Also, it seemed that infertile patients in our study were subjected to social and family pressure for longer periods. It was possible that depression scores of our participant infertile women may have been higher due to these factors. When this study and other three studies [6, 22, 23] were considered, it may be suggested that the actual reason for PCOS was infertility and that depressive complaints would be decreased as the number of the infertile patients reduced.

Jedel et al. expressed that there was not difference for depression between PCOS and BMI-matched controls but anxiety increased in PCOS. Although both groups were similar in the present study in terms of BMI, their BMI values were under 25 kg/m², which made us conclude that obesity—one of the most important characteristics of PCOS—was not assessed properly [22].

Hahn et al. compared patients with PCOS whose BMI values were higher to healthy control participants whose BMI values were normal and found that depression increased among these patients [6].

In our study, too, it was infertility group whose BDI score was the highest. Nearly 50% of the patients had high DA and 36.4% had moderate DA. Therefore, consistent findings were obtained from both inventories. In the obese group, it was seen that anxiety existed prominently, depression was higher than healthy control group but was lower than infertile group and hirsutism group, which made us think that the actual determinant of depression was infertility and hirsutism.

Between our study and literature were similarities in terms of Quality of Life Scale. Hahn et al. administered quality of life scale to the patients of PCOS, and similar results as ours were obtained but no difference was found between the groups in terms of general health [6]. In our study, it was noted that the most affected group was oligomenorrhea-hirsutism group in terms of PF, PRF, pain, SF, ERF, and EWB but it was obesity group that was affected by GH most and it was infertility group that was affected by vitality most.

In a study in which infertile Muslim and Austrian women who lived in Austria and had PCOS were compared in terms of quality of life, it was detected that Muslim women associated oligomenorrhea periods mostly with infertility, and it was emphasized that this situation affected their quality of life [24].

The most affecting factors for the quality of life among women were irregular menstrual cycle and hirsutism. The effect created by irregular menstrual cycle may play a crucial core in patients’ perceptions, and therefore, irregular menstrual cycle may sometimes be perceived as the reason of infertility or hirsutism, which results—in turn—in stress in patients, and stress causes impairment of ovulation more severely and aggravates signs. This is a chicken-and-egg situation which deteriorates quality of life more and more.

In the literature, we did not find any study that investigated social anxiety and avoidance among PCOS patients. It is important to mention that ours is the first one. It was found out that the most affected groups in terms of anxiety and avoidance were hirsutism-oligomenorrhea and obesity groups. The common characteristic of these two groups was that they were composed of patients who were phenotypically affected. Obesity and hirsutism may lead to higher scores in anxiety and avoidance scales.

There was only one paper in which Rosenberg’ Self-esteem Scale was administered in PCOS patients. In this paper, it was highlighted that hirsutism and BMI of PCOS patients may particularly be effective upon their negative interaction. The study included no infertile group and the participants were not investigated in relation with the intention to have children [25].

In our study, DA scores and DD scores increased among the infertile group most while PSS and PsI considerably increased both in infertile group and obese group. Because the highest score in BDI was obtained by infertility group, findings of the two scales were consistent. Psychosomatic signs are commonly seen among the depressive patients. Therefore, that higher level of psychosomatic signs in infertile group may be attributed to depression experienced by infertile PCOS patients.

In the literature, patients who were diagnosed with PCOS were generally investigated without considering their clinical characteristics. But, PCOS is a highly heterogeneous disease. Some patients are infertile and are subjected to social pressure due to the importance given to the children by the society. Women in the study group and in healthy control group are composed of young women who belong to reproductive age. Young patients undergo difficulty in not finding a partner caused by the problems due to hirsutism, obesity and suffer from the inability to form a relation with the opposite sex. Therefore, our study took clinical characteristics of the patients into consideration, and groups were created in line with these findings and complaints. There is a need for the new studies to be undertaken using volunteers of the same characteristics but without PCOS. We suggest that not only gynecologist but also a multidisciplinary team may examine these patients. Also, all family members—husbands in particular—should determine domestic social relations in the family. Social support system should be established and provided, and a family-centered approach should be adopted.

Conflict of Interests

The authors report no conflict of interests.

Acknowledgments

The authors thank Seher Aydin for her contribution to this research. This study was conducted in Kayseri Education and Research Hospital. Kayseri Education and Research Hospital financially supported this study.

References

A. Boztosun, G. Acmaz, A. Ozturk, and I. Muderris, “Clinical efficacy of low dose flutamide plus Diane-35 in the treatment of idiopathic hirsutism and polycystic ovary syndrome,” Ginekologia Polska, vol. 84, no. 4, pp. 258–262, 2013.

3rd Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group, “Revised 2003 consensus on diagnostic criteria and long term health risks related to polycystic ovary syndrome,” Human Reproduction, vol. 19, pp. 41–47, 2003.

P. Vural, S. Deǧirmencioǧlu, N. Y. Saral, and C. Akgül, “Tumor necrosis factor α (-308), interleukin-6 (-174) and interleukin-10 (-1082) gene polymorphisms in polycystic ovary syndrome,” European Journal of Obstetrics Gynecology and Reproductive Biology, vol. 150, no. 1, pp. 61–65, 2010.

A. Gambineri, C. Pelusi, V. Vicennati, U. Pagotto, and R. Pasquali, “Obesity and the polycystic ovary syndrome,” International Journal of Obesity, vol. 26, no. 7, pp. 883–896, 2002.

T. J. McCenna, “The use of anti-androgens in the treatment of hirsutism,” Clinical Endocrinology, vol. 35, no. 1, pp. 1–3, 1991.

S. Hahn, O. E. Janssen, S. Tan et al., “Clinical and psychological correlates of quality-of-life in polycystic ovary syndrome,” European Journal of Endocrinology, vol. 153, no. 6, pp. 853–860, 2005.

S. Elsenbruch, S. Hahn, D. Kowalsky et al., “Quality of life, psychosocial well-being, and sexual satisfaction in women with polycystic ovary syndrome,” Journal of Clinical Endocrinology and Metabolism, vol. 88, no. 12, pp. 5801–5807, 2003.

A. D. Domar, A. Broome, P. C. Zuttermeister, M. Seibel, and R. Friedman, “The prevalence and predictability of depression in infertile women,” Fertility and Sterility, vol. 58, no. 6, pp. 1158–1163, 1992.

E. Hollinrake, A. Abreu, M. Maifeld, B. J. van Voorhis, and A. Dokras, “Increased risk of depressive disorders in women with polycystic ovary syndrome,” Fertility and Sterility, vol. 87, no. 6, pp. 1369–1376, 2007.

J. A. Barry, A. R. Kuczmierczyk, and P. J. Hardiman, “Anxiety and depression in polycystic ovary syndrome: a systematic review and meta-analysis,” Human Reproduction, vol. 26, no. 9, pp. 2442–2451, 2011.

M. R. Liebowitz, “Social phobia,” Modern Problems of Pharmacopsychiatry, vol. 22, pp. 141–173, 1987.

C. Soykan, H. D. Özgüven, and T. Gençöz, “Liebowitz social anxiety scale: the Turkish version,” Psychological Reports, vol. 93, no. 3, pp. 1059–1069, 2003.

M. Rosenberg, Society and the Adolescent Self-Image, Princeton University Press, Princeton, NJ, USA, 1965.

F. Çuhadaroğlu, Self-esteem among adolescents [Unpublished Dissertation], Hacettepe University, Ankara, Turkey, 1986.

J. E. Ware and C. D. Sherbourne, “The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection,” Medical Care, vol. 30, no. 6, pp. 473–483, 1992.

H. Koçyiğit, Ö. Aydemir, and G. Fişek, “Validity and reliability tests of the Turkish version of SF-36,” Medicine and Treatment Journal, vol. 12, no. 2, pp. 102–106, 1999.

A. T. Beck, C. H. Ward, M. Mendelsohn, J. Mock, and J. Erbaugh, “An inventory for measuring depression,” Archives of General Psychiatry, vol. 4, pp. 561–571, 1961.

N. Hisli, “A study on validity and reliability tests of Beck depression inventory,” Psychology Journal, vol. 6, no. 22, pp. 118–122, 1988.

A. T. Beck, N. Epstein, G. Brown, and R. A. Steer, “An inventory for measuring clinical anxiety: psychometric properties,” Journal of Consulting and Clinical Psychology, vol. 56, no. 6, pp. 893–897, 1988.

M. Ulusoy, Beck anxiety inventory (BAI): validity and reliability tests [Unpublished Dissertation], Bakırköy Mental Diseases Hospital, İstanbul, Turkey, 1993.

C. Kitzinger and J. Willmott, “‘The thief of womanhood’: Women's experience of polycystic ovarian syndrome,” Social Science and Medicine, vol. 54, no. 3, pp. 349–361, 2002.

E. Jedel, M. Waern, D. Gustafson et al., “Anxiety and depression symptoms in women with polycystic ovary syndrome compared with controls matched for body mass index,” Human Reproduction, vol. 25, no. 2, pp. 450–456, 2010.

S. Tan, S. Hahn, S. Benson et al., “Psychological implications of infertility in women with polycystic ovary syndrome,” Human Reproduction, vol. 23, no. 9, pp. 2064–2071, 2008.

J. Schmid, S. Kirchengast, E. Vytiska-Binstorfer, and J. Huber, “Infertility caused by PCOS—health-related quality of life among Austrian and Moslem immigrant women in Austria,” Human Reproduction, vol. 19, no. 10, pp. 2251–2257, 2004.

J. E. de Niet, C. M. de Koning, H. Pastoor et al., “Psychological well-being and sexarche in women with polycystic ovary syndrome,” Human Reproduction, vol. 25, no. 6, pp. 1497–1503, 2010.