Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis
<b>Background/Objectives</b>: Polycystic Ovary Syndrome (PCOS) is a multifactorial endocrine disorder with significant clinical and reproductive implications. Identifying dose–response relationships between clinical, physical, and reproductive factors and PCOS can enhance diagnostic accu...
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2025-03-01
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| author | Ismat Ara Begum A. S. M. Sanwar Hosen Deepak Ghimire Mi Jin Park |
| author_facet | Ismat Ara Begum A. S. M. Sanwar Hosen Deepak Ghimire Mi Jin Park |
| author_sort | Ismat Ara Begum |
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| description | <b>Background/Objectives</b>: Polycystic Ovary Syndrome (PCOS) is a multifactorial endocrine disorder with significant clinical and reproductive implications. Identifying dose–response relationships between clinical, physical, and reproductive factors and PCOS can enhance diagnostic accuracy and inform treatment strategies. This study utilized a data-driven approach to analyze the associations between key factors, including age, weight, menstrual cycle length, Anti-Mullerian Hormone (AMH) levels, and follicle count, with PCOS prevalence. <b>Methods:</b> A retrospective analysis was conducted on a dataset of 539 participants to determine the optimal ranges of these factors associated with an increased likelihood of PCOS diagnosis. Statistical analyses were conducted using Python, including correlation matrix, univariate and multivariate logistic regression, and dose–response evaluations. <b>Results:</b> Our findings demonstrated that the risk of PCOS increases positively in women under 32 years of age. AMH levels above 4.18 ng/mL were strongly associated with PCOS, suggesting that higher AMH levels may reflect excessive follicular activity rather than enhanced ovarian function. Weight was positively correlated with PCOS, emphasizing the role of metabolic disturbances in its pathophysiology. Additionally, menstrual cycle length exhibited a non-linear association with PCOS, with both shortened and prolonged cycles being indicative of hormonal dysregulation. A higher follicle count was consistently linked to PCOS, reinforcing its diagnostic significance. <b>Conclusions:</b> This study provides evidence of non-linear dose–response relationships between PCOS and clinical, physical, and reproductive factors. The proposed optimal ranges may serve as valuable reference points for clinicians, aiding in early diagnosis and personalized management strategies for women with PCOS. |
| format | Article |
| id | doaj-art-ab550a591f3b4bb7b3bb407fb3208e1b |
| institution | Kabale University |
| issn | 2075-4418 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
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| series | Diagnostics |
| spelling | doaj-art-ab550a591f3b4bb7b3bb407fb3208e1b2025-08-20T03:43:26ZengMDPI AGDiagnostics2075-44182025-03-0115671110.3390/diagnostics15060711Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven AnalysisIsmat Ara Begum0A. S. M. Sanwar Hosen1Deepak Ghimire2Mi Jin Park3Department of Biomedical Sciences and Institute for Medical Science, Jeonbuk National University Medical School, Jeonju 54907, Republic of KoreaDepartment of Artificial Intelligence and Big Data, Woosong University, Daejeon 34606, Republic of KoreaIT Application Research Center, Korea Electronics Technology Institute, Jeonju 54853, Republic of KoreaDepartment of Psychiatry, Seoul St Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 03083, Republic of Korea<b>Background/Objectives</b>: Polycystic Ovary Syndrome (PCOS) is a multifactorial endocrine disorder with significant clinical and reproductive implications. Identifying dose–response relationships between clinical, physical, and reproductive factors and PCOS can enhance diagnostic accuracy and inform treatment strategies. This study utilized a data-driven approach to analyze the associations between key factors, including age, weight, menstrual cycle length, Anti-Mullerian Hormone (AMH) levels, and follicle count, with PCOS prevalence. <b>Methods:</b> A retrospective analysis was conducted on a dataset of 539 participants to determine the optimal ranges of these factors associated with an increased likelihood of PCOS diagnosis. Statistical analyses were conducted using Python, including correlation matrix, univariate and multivariate logistic regression, and dose–response evaluations. <b>Results:</b> Our findings demonstrated that the risk of PCOS increases positively in women under 32 years of age. AMH levels above 4.18 ng/mL were strongly associated with PCOS, suggesting that higher AMH levels may reflect excessive follicular activity rather than enhanced ovarian function. Weight was positively correlated with PCOS, emphasizing the role of metabolic disturbances in its pathophysiology. Additionally, menstrual cycle length exhibited a non-linear association with PCOS, with both shortened and prolonged cycles being indicative of hormonal dysregulation. A higher follicle count was consistently linked to PCOS, reinforcing its diagnostic significance. <b>Conclusions:</b> This study provides evidence of non-linear dose–response relationships between PCOS and clinical, physical, and reproductive factors. The proposed optimal ranges may serve as valuable reference points for clinicians, aiding in early diagnosis and personalized management strategies for women with PCOS.https://www.mdpi.com/2075-4418/15/6/711polycystic ovary syndrome (PCOS)anti-Mullerian hormone (AMH)ovarian morphologyhormonal imbalancefollicle countcycle length |
| spellingShingle | Ismat Ara Begum A. S. M. Sanwar Hosen Deepak Ghimire Mi Jin Park Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis Diagnostics polycystic ovary syndrome (PCOS) anti-Mullerian hormone (AMH) ovarian morphology hormonal imbalance follicle count cycle length |
| title | Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis |
| title_full | Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis |
| title_fullStr | Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis |
| title_full_unstemmed | Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis |
| title_short | Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis |
| title_sort | association of polycystic ovary syndrome with clinical physical and reproductive factors a data driven analysis |
| topic | polycystic ovary syndrome (PCOS) anti-Mullerian hormone (AMH) ovarian morphology hormonal imbalance follicle count cycle length |
| url | https://www.mdpi.com/2075-4418/15/6/711 |
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