Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 272

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Gender Issues in Depression

Grigoriadis, Sophie, Robinson, Gail Erlick·2007·Annals of Clinical Psychiatry

Abstract

BACKGROUND: Gender differences in depression have been documented for many years and thought to be insignificant to treatment selection until recently. METHODS: This article reviews gender differences in the prevalence, presentation, etiology, and antidepressant treatment of depressive disorders. RESULTS: The high female to male sex ratio in the prevalence of depression, especially during the reproductive years, is one of the most replicated findings in epidemiology. Women more often have a seasonal component, anxious and atypical depression. Explanations for the differences include psychological, neurochemical, anatomic, hormonal, genetic, and personality factors. Gender differences in antidepressant treatment response have not been found consistently. Hormonal status may be an important variable in addition to the effects of the menstrual cycle, pregnancy, perimenopause and menopause. CONCLUSIONS: Women have higher rates of depression and can often present differently than do men. Further research can ascertain which combination of factors increase women's risk. The effect of pregnancy and the impact of the menstrual cycle on the course of all depressive disorders need increased attention. Large prospective randomized controlled trials with gender differences in treatment response as the primary endpoint are necessary in order to answer the now controversial question of gender differences in antidepressant treatment response.

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 · 10.1080/10401230701653294

Cites

10 of 10 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 10 references

Cited by

See all 272

Metadata

Authors
Grigoriadis, S., & Robinson, G. E.
Venue
Annals of Clinical Psychiatry
Published
2007-10
Volume
19
Issue
4
Pages
247-255
ISSN
  • 1040-1237 (ISSN-L)
  • 1547-3325
OpenAlex
W2143580415
Cited by
272
References
10
FWCI
10.97
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: Gender Issues in Depression. https://app.cochat.ai/papers/10.1080/10401230701653294
The paper
Grigoriadis, S., & Robinson, G. E. (2007). Gender Issues in Depression. Annals of Clinical Psychiatry. https://doi.org/10.1080/10401230701653294

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.