Obesity management in women with polycystic ovary syndrome

Prediction of PCOS and Mental Health Using Fuzzy Inference and SVM

Polycystic ovarian syndrome (PCOS) is a hormonal disorder found in women of reproductive age. There are different methods used for the detection of PCOS, but these methods limitedly support the integration of PCOS and mental health issues. To address these issues, in this paper we present an automated early detection and prediction model which can accurately estimate the likelihood of having PCOS and associated mental health issues. In real-life applications, we often see that people are prompted to answer in linguistic terminologies to express their well-being in response to questions asked by the clinician. To model the inherent linguistic nature of the mapping between symptoms and diagnosis of PCOS a fuzzy approach is used. Therefore, in the present study, the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is evaluated for its performance. Using the local yet specific dataset collected on a spectrum of women, the Fuzzy TOPSIS is compared with the widely used support vector machines (SVM) algorithm. Both the methods are evaluated on the same dataset. An accuracy of 98.20% using the Fuzzy TOPSIS method and 94.01% using SVM was obtained. Along with the improvement in the performance and methodological contribution, the early detection and treatment of PCOS and mental health issues can together aid in taking preventive measures in advance. The psychological well-being of the women was also objectively evaluated and can be brought into the PCOS treatment protocol.

Obesity and deep brain stimulation: an overview

Deep brain stimulation (DBS) has been employed to treat a variety of disorders such as Parkinson disease, dystonia, and essential tremor. Newer indications such as epilepsy and obsessive-compulsive disorder have been added to the armamentarium. In this review, we present an initial summary of current methods in the management of obesity and then explore efforts in neuromodulation and DBS as a novel modality in the treatment of obesity disorders.

Mood disorders and quality of life in polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) affects 5-10% of the population of women. The exact etiology of PCOS remains unclear, but it is believed to result from complex interactions between genetic, behavioral and environmental factors. The spectrum of its symptoms such as hirsutism, skin problems, obesity and finally infertility has a huge negative impact on the individuals' psychological and interpersonal functioning. PCOS symptoms can lead to significant deterioration in quality of life and be highly stressful negatively affecting psychological well-being and sexuality. Fear symptoms like palpitation, being out of breath and tension might be caused by many somatic diseases. Moreover, detection and continuous thinking about illness can lead to significant negative impact on individual functioning in society. PCOS may be a factor potentially favoring the occurrence of mood disorders and depression. Biological, social and psychological consequences of PCOS among women of reproductive age are opening a new perspective on management of women's health in these patients.

Physical activity and mental health in women with polycystic ovary syndrome

Background

Physical activity is prescribed as a component of primary management for Polycystic Ovary Syndrome (PCOS). This study investigates the association between physical activity and mental health as well as the exercise barriers, motivators and support providers for younger women with and without PCOS to assist in physical activity uptake and prescription for these women.

Methods

Women aged 18-50 years with (n = 153) and without PCOS (n = 64) completed a questionnaire at one time point. The questionnaire included the Hospital Anxiety and Depression Scale and a survey regarding levels of physical activity, physical activity barriers, motivators and supports. A MANCOVA assessed associations between physical activity, PCOS and mental health (specifically depression and anxiety). Descriptive and Chi square goodness of fit statistics assessed the differences in perceived barriers, motivators and support providers amongst women with and without PCOS.

Results

Women with PCOS displayed higher severity of depression (F(1,210) = 8.32, p = 0.004) and anxiety (F(1,210) = 17.37, p < 0.001) symptoms compared to controls. Overall, for physically active women, depression was significantly less severe than in their inactive counterparts (F(2,210) = 13.62, p < 0.001). There were no differences in anxiety by physical activity status and no interaction effects between PCOS and activity status for depression or anxiety. Women with PCOS were more likely to report a lack of confidence about maintaining physical activity (Χ² = 3.65; p = 0.046), fear of injury (Χ² = 4.08; p = 0.043) and physical limitations (Χ² = 11.92; p = 0.001) as barriers to physical activity and were more likely to be motivated to be active to control a medical condition (Χ² = 7.48; p = 0.006). Women with PCOS identified more sources of support compared to women without PCOS.

Conclusions

Physical activity is associated with lower depression in women with PCOS and differences exist in the self-reported physical activity barriers, motivators and support providers, compared to controls. Being more active may offer mental health benefits in managing PCOS. Prescribing physical activity to women with PCOS should be individualized and consider both common and PCOS-specific barriers and motivators for successful engagement.