| Literature DB >> 30463276 |
Wendy M Wolf1, Rachel A Wattick2, Olivia N Kinkade3, Melissa D Olfert4.
Abstract
Polycystic ovarian syndrome (PCOS) is thought to be the most common endocrine disorder found in women. Common symptoms include irregular menstrual cycle, polycystic ovaries, and hirsutism, as well as an increased risk for a multitude of conditions, including insulin resistance, dyslipidemia and infertility. The prevalence of polycystic ovarian syndrome is generally thought to be between 3% and 10% but it is widely unknown for specific subpopulations based on geographical location and race/ethnicity. Based on the high degree of variability and inconsistencies between the different diagnostic criteria, there is a unique challenge that exists when determining the prevalence of this syndrome. There are a large percentage of individuals that remain undiagnosed even after visiting multiple health care providers. Most studies conducted across the world are limited by small sample size, selection bias, and lack of comparability across studies. There have been very few studies that have examined the prevalence of polycystic ovary syndrome across the United States. Based on the National Institutes of Health (NIH)'s diagnostic criteria, there is a similar prevalence of PCOS documented across the United States, the United Kingdom, Spain, Greece, Australia, and Mexico. Other studies have shown some differences between geographical location and race. The existing data is not conclusive enough to determine whether or not there is any significant differences in the prevalence of PCOS across geographical location, racial or ethnic groups. This review will seek to determine the prevalence of polycystic ovarian syndrome based on geographical location and race/ethnicity.Entities:
Keywords: diagnostic criteria; ethnicity; polycystic ovary syndrome; prevalence; race; regions
Mesh:
Year: 2018 PMID: 30463276 PMCID: PMC6266413 DOI: 10.3390/ijerph15112589
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Diagnostic criteria for polycystic ovarian syndrome (PCOS).
| National Institutes of Health (NIH) 1990 [ | Rotterdam 2003 [ | AE-PCOS Society 2006 [ | NIH 2012/International PCOS Guidelines 2018 [ |
|---|---|---|---|
Hyperandrogenism Chronic Anovulation | Hyperandrogenism Oligo-and/or anovulation Polycystic ovaries | Hyperandrogenism Ovarian dysfunction | Hyperandrogenism Oligo-and/or anovulation Polycystic ovaries |
| First developed and most commonly used criteria today | Formulated to expand on NIH diagnostic definition | Formulated to provide an evidence-based definition | Encouraged a name change (2012 only) and identifying sub-phenotypes |
Summary of studies on PCOS prevalence in the United States.
| Study Authors | Objectives | Main Findings | Strengths and Limitations |
|---|---|---|---|
| Okoroh et al. [ | Compare regional prevalence of PCOS across US |
47.5% prevalence in Southern Region 23.0% prevalence in North Central Region 18.7% prevalence in Western Region 10.3% in North Eastern Reion Across US population, 1.6% of women met at least one criterion for PCOS |
Only study to assess US regional prevalence and include all available diagnostic criteria Prevalence estimate may be low due to retrospective design |
Summary of studies on prevalence in Caucasians.
| Study Authors | Objectives | Main Findings | Strengths and Limitations |
|---|---|---|---|
| Asuncion et al. [ | Assess prevalence in Caucasian women in Madrid, Spain |
Incidence rate of 6.5% according to NIH criteria |
Random selection to limit bias Small sample |
| March et al. [ | Assess prevalence in Adelaide, Australia |
8.7% prevalence by NIH criteria 11.9% by Rotterdam criteria 10.2% by AES criteria |
Took into account all criteria Large community-based study |
Summary of studies on international prevalence.
| Study Authors | Objectives | Main Findings | Strengths and Limitations |
|---|---|---|---|
| Kumarapeli et al. [ | Assess prevalence in South Asian women ages 15–39 |
6.3% prevalence according to the Rotterdam criteria |
Self-reported symptoms |
| Ding et al. [ | Asses prevalence among Chinese, Caucasian, Middle Eastern, and African American |
Chinese women had lowest prevalence at 5.6% according to Rotterdam criteria | |
| Chen et al. [ | Assess prevalence among women in Southern China |
2.2% prevalence according to NIH criteria |
Possible selection bias |
| Moran et al. [ | Assess prevalence in Mexico City, Mexico |
6.0% prevalence by NIH criteria 6.6% prevalence by Rotterdam criteria |
Used multiple criteria Small sample size |
| Goodarzi et al. [ | Assess prevalence in Mexican-American women |
Nearly 13% prevalence |
Self-reported data Possible selection bias |
| Knochenhauer et al. [ | Assess prevalence in Caucasian and Black women in Southeastern United States |
4.7% prevalence in Caucasian women by NIH 3.4% prevalence in Black women by NIH |
Minimal selection bias Diagnostic criteria did not include ultrasound or polycystic ovarian morphology |
| Azziz et al. [ | Assess prevalence in Caucasian and Black women in Southeastern United States |
8.0% prevalence in Black women according to NIH 4.8% prevalence in Caucasian women according to NIH |
Minimal selection bias Diagnostic criteria did not include ultrasound or polycystic ovarian morphology |
| Davis et al. [ | Assess prevalence in indigenous Australian women |
Prevalence as high as 26% based off of presence of oligomenorrhea and hirsutism and/or hyperandrogenemia |
Small sample size |
| Diamanti-Kandarakis et al. [ | Assess prevalence in women on Greek island of Lesbos |
6.6% prevalence according to NIH criteria |
Convenience sample |