Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 422

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Prevalence and Predictive Factors for Regional Osteopenia in Women with Anorexia Nervosa

Open access
Grinspoon, Steven, Thomas, Elizabeth, Pitts, Sarah, Gross, Erin, Mickley, Diane, Miller, Karen, Herzog, David, Klibanski, Anne·2000·Annals of Internal Medicine

Abstract

BACKGROUND: Anorexia nervosa is highly prevalent among young women. OBJECTIVE: To determine prevalence and predictive factors for regional bone loss. DESIGN: Prospective cohort analysis. SETTING: University hospital. PATIENTS: 130 women with anorexia nervosa. MEASUREMENTS: Dual-energy x-ray absorptiometry. RESULTS: The prevalence of osteopenia (-1.0 SD >/= T-score > -2.5 SD) and osteoporosis (T-score </= -2.5 SD) was 50% and 13% for the anterior-posterior spine, 57% and 24% for the lateral spine, and 47% and 16% for the total hip, respectively. Bone mineral density (BMD) was reduced by at least 1.0 SD at one or more skeletal sites in 92% of patients and by at least 2.5 SD in 38% of patients. Weight was the most consistent predictor of BMD at all skeletal sites. Twenty-three percent of patients were current estrogen users, and 58% were previous estrogen users. Bone mineral density did not differ by history of estrogen use at any site. CONCLUSIONS: Bone mineral density is reduced at several skeletal sites in most women with anorexia nervosa. Weight, but not estrogen use, is a significant predictor of BMD in this population at all skeletal sites.

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 · 10.7326/0003-4819-133-10-200011210-00011

Cites

1 of 1 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 1 references

Cited by

Metadata

Authors
Grinspoon, S., Thomas, E., Pitts, S., Gross, E., Mickley, D., Miller, K., Herzog, D., & Klibanski, A.
Venue
Annals of Internal Medicine
Published
2000-11-21
Volume
133
Issue
10
Pages
790-794
ISSN
  • 0003-4819 (ISSN-L)
  • 1539-3704
OpenAlex
W2059171787
Cited by
422
References
1
FWCI
16.86
Type
journal article
Language
en
Open access
green

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.