Supplemnatray data for manuscript tentatively entitled "The Influence of Study Quality, Age, and Geographic Factors on Polycystic Ovary Syndrome Prevalence-A Systematic Review and Meta-Analysis", including: Supplementary Table 1. Search strategy and its results including studies published until February 29th of 2024. Supplementary Table 2. The quality assessment results of studies conducted on adults based on the Polycystic ovary syndrome (PCOS) Epidemiology and Phenotype (PEP) tool. Supplementary Table 3. The quality assessment results of studies conducted on adolescents based on the Polycystic ovary syndrome (PCOS) Epidemiology and Phenotype (PEP) tool. Supplementary Table 4. The quality assessment results of studies conducted on mixed populations (both adults and adolescents) based on PCOS Epidemiology and Phenotype (PEP) tool. Supplementary Figure 1 (A-D). Forest plots of global PCOS prevalence stratified by diagnostic criteria (regardless of study quality, age group, and geographic region): A) NIH, B) Rotterdam, C) AE-PCOS, D) Self-report: A) NIH, B) Rotterdam, C) AE-PCOS, D) Self-report. Supplementary Figure 2 (A-C). Forest plots of global PCOS prevalence stratified by WHO region and diagnostic criteria (regardless of study quality and age group): A) NIH, B) Rotterdam, C) AE-PCOS. Supplementary Figure 3 (A-C). Forest plots of PCOS prevalence stratified by diagnostic criteria and age group (adults vs. adolescent) (regardless of study quality): A) NIH, B) Rotterdam, C) AE-PCOS. Supplementary Figure 4 (A-C). Sensitivity Analysis based on high-quality studies: Impact of individual study exclusion on pooled prevalence (using high-quality studies only)- A) NIH, B) Rotterdam, C) AE-PCOS.