Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 304

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Trends in the use of aspirin and nonsteroidal anti‐inflammatory drugs in the general U.S. population

Open access
Zhou, Yingjun, Boudreau, Denise M., Freedman, Andrew N.·2014·Pharmacoepidemiology and Drug Safety
DOI 10.1002/pds.3463
Open this paper in CoChat — free account

Abstract

Purpose: The objective of this study was to describe trends in the prevalence of regular aspirin and nonsteroidal anti‐inflammatory drug (NSAID) use among adults in the United States during 2005 and 2010, and to identify characteristics of regular users. Methods: Data from the 2005 and 2010 National Health Interview Survey (NHIS) were analyzed to estimate the prevalence of regular use of aspirin and NSAIDs among U.S. adults aged 18 years and older. Results were stratified by demographics and self‐reported medical conditions and extrapolated to provide U.S. population estimates. Results: In 2010, around 43 million adults (19.0%) took aspirin at least three times per week for more than 3 months (i.e. regular users), and more than 29 million adults (12.1%) were regular users of NSAIDs. Compared with 2005, this was an overall increase of 57% in aspirin use and 41% in NSAID use. These increases were consistent across the strata of age, sex, race, and selected medical conditions, including cardiovascular disease (CVD), arthritis, peptic ulcers, cancer, and severe headache, except for Asian Americans. Conclusion: Large increases in the use of both aspirin and NSAIDs were observed over a 5 year period. The increase may be the result of increasing media attention reporting that regular aspirin use lowers the risk of CVD and related deaths, and may also prevent cancer. Moreover, safety concerns related to alternative medications such as acetaminophen and selective COX‐2 inhibitors may influence users of these drugs to switch to aspirin and NSAIDs. Copyright © 2013 John Wiley & Sons, Ltd.

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 · 10.1002/pds.3463

Cites

53 of 53 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

Cited by

See all 304

Metadata

Authors
Zhou, Y., Boudreau, D. M., & Freedman, A. N.
Venue
Pharmacoepidemiology and Drug Safety
Publisher
Wiley
Published
2013-05-30
Volume
23
Issue
1
Pages
43-50
ISSN
  • 1053-8569 (ISSN-L)
  • 1099-1557
DOI
10.1002/pds.3463
OpenAlex
W2149696605
Cited by
304
References
53
FWCI
13.47
Type
journal article
Language
en
Open access
bronze

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

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.