Introduction
Polycystic ovary syndrome (PCOS) is a common endocrine disorder among women of reproductive age. According to the World Health Organization (WHO), it is an extremely common and highly prevalent disorder. PCOS affects 116 million women (4–12%) globally in 2012, and in 2020, its ratio increased abruptly to 26% [1]. The highest prevalence of PCOS was in Africa (16.4%) [1]. In Egypt, the prevalence of PCOS is approximately estimated to range from 16 % to 37.5% [2].
PCOS is a reproductive, metabolic, and psychological condition with impacts across the lifespan [3]. PCOS is associated with metabolic disorders, including obesity and insulin resistance, which can lead to cardiovascular diseases [4]. These women are 50% more likely to experience psychiatric disorders, including bulimia, schizophrenia, and bipolar disorders [5]. For individuals with chronic conditions, quality of life (QoL) encompasses physical health, psychological state, level of independence, social relationships, personal beliefs, and their relationship to significant features of their environment [6].
QoL is defined as living in good physical, mental, and emotional health to a degree of acceptance and satisfaction, being strong-willed and steadfast in the face of pressures, having high self and social efficiency, and being satisfied with one’s family, career, and community life [7, 8]. World Health Organization quality of life (WHOQOL) is defined as “an individual’s perception of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards, and concerns” [9].
PCOS has a negative effect on QoL that affects the physiological domain, such as obesity and facial hair, the social domain, including deterioration in women’s self-esteem and self-image, the psychological domain, such as dilemma, anxiety and can cause psychological morbidity [10]. Dissatisfaction with one’s own appearance and low self-esteem cause chronic psychological discomfort and problems in relationships with partners, which have a significant impact on several domains of QoL [11].
Marital satisfaction can be negatively impacted in women with PCOS due to various factors associated with the condition, including infertility, sexual dysfunction, and physical symptoms, such as hirsutism. Studies suggested that PCOS influences marital satisfaction. Women who developed PCOS considered themselves less attractive and believed that their spouses were less satisfied with their relationship. Also, they face many physical, psychological, and emotional problems that may disturb their marital lives [12].
Studies suggested that married women with PCOS often report a lower QoL than unmarried women, particularly in domains, such as emotional well-being, infertility, and sexual satisfaction. This may be attributed to the added pressures of marital life [13]. The financial and emotional burden of infertility is particularly significant, as it can lead to feelings of loss and grief [14].
PCOS is a leading cause of infertility, which can be a significant source of stress and dissatisfaction in relationships, affecting up to 70% of women with the condition. Studies have shown that infertility is a strong predictor of sexual and marital dissatisfaction in couples with PCOS [15, 16].
Women with PCOS frequently exhibit impaired marital sexual functioning, with a significantly higher prevalence of sexual dysfunctions (74.23% in women with PCOS compared to 44.21% in healthy controls). Key aspects of sexual function, including sex drive, arousal, lubrication, orgasm, and the experience of pain, are reported to be significantly lower in women with PCOS when compared to healthy women. These impairments directly contribute to diminished marital sexual satisfaction [17]. Therefore, this study was conducted to assess the QoL of married women with PCOS.
Nurses are at the forefront of health care, making them uniquely suited to lead efforts in the education, prevention, and management of PCOS. Their role extends beyond clinical care to advocacy, support, and education [18]. Nurses play a vital role in educating women with PCOS, empowering them to manage their condition effectively. Through nurse-led health education, support groups, and advocacy for early diagnosis and prevention, nurses can significantly improve the QoL of women with PCOS [19].
Methods
The study was conducted in March 2024 after official permission was granted by the director of the Women’s Health Hospital. Data were collected from women three days per week at the gynecological outpatient clinic and antiretroviral therapy unit at Women’s Health Hospital, Assiut University, Assiut city, Egypt, from 9.00 AM to 1.00 PM, according to the outpatient clinic schedule, until the sample size reached the predetermined number. The study included 102 married women diagnosed with PCOS, and the sample size was calculated using G*power software, version 3.1.9.7 based on expert opinion, with Power (1-β err prob) 0.8 and α err prob 0.05.
Inclusion criteria: Married women with a PCOS diagnosis between the ages of 18-45 years were eligible to participate. Exclusion criteria: Women who declined to participate in the study and those with a mental health condition that may affect QoL.
The researcher interviewed each woman face-to-face, introduced herself, and obtained informed consent from the women who participated in the study after explaining the study’s purpose and nature. The researcher obtained the personal data from women, such as age, level of education, occupation and family history of PCOS, and also obtained the gynecological and menstrual history. Also, the researcher took anthropometric measurements and completed the questionnaire to assess the QoL. The interviews lasted for 20-25 minutes.
Pilot study
The pilot study was conducted in February, 2024 to test the feasibility and applicability of the study tools. It was conducted on 10% of the sample (10 women), and no changes were made. The data obtained from the pilot study were analyzed, and the Cronbach’s α was 0.914.
Measurements of the PCOS quality of life (PCOSQ)
Tool I: Structured interview questionnaire
This tool was designed by the researcher after reviewing the related national and international literature and adapted from [20, 21]. It consisted of
1) Personal data of the women included (code, age, residence, level of education, occupation, telephone number, and family history). In addition to anthropometric measurements, it involves body mass index (BMI). 2) Gynecological and menstrual history: menstrual regularity and infertility.
Tool II: PCOSQ
(55 questions) adopted from [22], covered the following areas:
Domain 1): Included physical functioning as (hirsutism, body weight, and menstrual problems impact on physical functioning) (21 questions). Domain 2): Included psychological functioning as (emotional disturbance assessment and infertility impact on psychological functioning) (17 questions). Domain 3): Included social functioning and personal relationships, such as avoiding family visits and increased financial burden (12 questions). Domain 4): Included sexual functioning as decreased libido due to having PCOS, Change in sexual activity due to infertility threat (5 questions)
Scoring system
The response of each question on PCOSQ was recorded on a 3-point scale in which score (1) represents no problem/none of the time “best function”, score (2) represents some problems/some of the time, and score (3) represents severe problems /all of the time “poorest function. The total PCOSQ score was classified into three levels: Good QOL (<50%), Average QOL (50%< 75%) and Poor QOL (≥75%).
Validity and reliability
The tool was evaluated for its content validity with a content validity index of 0.8. The researcher assessed tool reliability by testing the internal consistency of the instrument by measuring the related Cronbach’s α, which was (0.924).
Statistical analysis
The collected data were tabulated and entered into Excel sheets. Data were analyzed using the SPSS software, version 26. Data were presented using descriptive statistics in the form of frequencies and percentages for qualitative variables, means and standard deviations for quantitative variables, and using chi-square test to determine significance between categorical data. P≥0.05 (not statistically significant), P<0.05 (significance).
Results
The personal data of the studied women showed that the mean age was (31.33±4.70) years. As regards women’s residence (49.0%) lived in urban areas, 38.2% of women had secondary education and 59.8% were housewives. The mean of BMI was 28.16±4.94, and the duration of marriage was 5.0 (1.0-14.0). Furthermore, (66.7%) of women did not have a family history of polycystic ovaries (
Table 1).

It reveals that the majority of women (70.6%) have irregular menstruation. As regards infertility (50.0%) of women had primary infertility, 37.3% of them had secondary infertility, and 12.7% of them had no infertility (
Table 2).

The mean scores of QoL domains were as follows: Social domain, 2.067±0.37; sexual domain, 2.28±0.50; physical domain, 2.21±0.38; and psychological domain,2.20±0.27, with a total QoL score of 2.20±0.27 (
Table 3).

This demonstrates that 50% of the women had an average QoL, 47% had a poor QoL, and only 3% had a good QoL (
Figure 1).