Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 770

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Forecasting the Prevalence of Pelvic Floor Disorders in U.S. Women: 2010 to 2050

Wu, Jennifer M., Hundley, Andrew F., Fulton, Rebekah G., Myers, Evan R.·2009·Obstetrics & Gynecology

Abstract

OBJECTIVES: To estimate the number of women who will have symptomatic pelvic floor disorders in the United States from 2010 to 2050. METHODS: We used population projections from the U.S. Census Bureau from 2010 to 2050 and published age-specific prevalence estimates for bothersome, symptomatic pelvic floor disorders (urinary incontinence [UI], fecal incontinence, and pelvic organ prolapse [POP]) from the 2005 National Health and Nutrition Examination Survey. We abstracted data regarding the number of women aged 20 years or older in 20-year age groups. We assumed that the age-specific prevalences for these disorders and the population distribution of risk factors remained unchanged thru 2050. We also conducted sensitivity analyses that varied both the prevalence estimates and the population projections. RESULTS: The number of American women with at least one pelvic floor disorder will increase from 28.1 million in 2010 to 43.8 million in 2050. During this time period, the number of women with UI will increase 55% from 18.3 million to 28.4 million. For fecal incontinence, the number of affected women will increase 59% from 10.6 to 16.8 million, and the number of women with POP will increase 46% from 3.3 to 4.9 million. The highest projections for 2050 estimate that 58.2 million women will have at least one pelvic floor disorder, with 41.3 million with UI, 25.3 million with fecal incontinence, and 9.2 million with POP. CONCLUSION: The prevalence of pelvic floor disorders will increase substantially given the changing demographics in the United States. This increase has important implications for public health and the field of gynecology. LEVEL OF EVIDENCE: III.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/aog.0b013e3181c2ce96

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 18 references

Cited by

See all 770

Metadata

Authors
Wu, J. M., Hundley, A. F., Fulton, R. G., & Myers, E. R.
Venue
Obstetrics & Gynecology
Published
2009-12
Volume
114
Issue
6
Pages
1278-1283
ISSN
0029-7844 (ISSN-L)
OpenAlex
W2087578685
Cited by
770
References
18
FWCI
14.80
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Forecasting the Prevalence of Pelvic Floor Disorders in U.S. Women: 2010 to 2050. https://app.cochat.ai/papers/10.1097/aog.0b013e3181c2ce96
The paper
Wu, J. M., Hundley, A. F., Fulton, R. G., & Myers, E. R. (2009). Forecasting the Prevalence of Pelvic Floor Disorders in U.S. Women: 2010 to 2050. Obstetrics & Gynecology. https://doi.org/10.1097/aog.0b013e3181c2ce96

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.