The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The influence of age and sex on the prevalence of depressive conditions: report from the National Survey of Psychiatric Morbidity
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In the citing paper
“Depression rates are two times higher among females compared to males [74].”
From Creatine supplementation in women's health: a lifespan perspective (2021) · cites this paper as [74]
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Citations
Cites
SCAN: Schedules fonr Clinical Assessment in Neuropsychiatry
Wing, J. K. (1990) · Archives of General Psychiatry · doi:10.1001/archpsyc.1990.01810180089012 · Cited by 2,517
Kessler, R. (1993) · Journal of Affective Disorders · doi:10.1016/0165-0327(93)90026-g · Cited by 2,207 · cited 2×
“The US National Comorbidity Survey (Kessler et al. 1993) unfortunately only sampled subjects less than 55 years old: the excess prevalence of depression in women was maintained until that age.”
BackgroundLewis, G., Pelosi, A. J., Araya, R., & Dunn, G. (1992) · Psychological Medicine · doi:10.1017/s0033291700030415 · Cited by 1,487
Self-citationAdolescent depression: Why more girls?
Petersen, A. C., Sarigiani, P. A., & Kennedy, R. E. (1991) · Journal of Youth and Adolescence · doi:10.1007/bf01537611 · Cited by 691
The National Psychiatric Morbidity Surveys of Great Britain – strategy and methods
JENKINS, R., BEBBINGTON, P., BRUGHA, T., FARRELL, M., GILL, B., LEWIS, G., MELTZER, H., & PETTICREW, M. (1997) · Psychological Medicine · doi:10.1017/s003329179700531x · Cited by 153 · cited 3×
“Thus, to the epidemiological evidence we now add findings from the National Household Survey of Psychiatric Morbidity recently completed in Britain (Meltzer et al., 1995; Jenkins et al., 1997a).”
BackgroundMethodSelf-citation
Cited by
Salk, R. H., Hyde, J. S., & Abramson, L. Y. (2017) · Psychological Bulletin · doi:10.1037/bul0000102 · Cited by 2,622
Why is depression more prevalent in women?
Albert, P. R. (2015) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.150205 · Cited by 1,785
Cannabis use and mental health in young people: cohort study.
Patton, G. C., Coffey, C., Carlin, J. B., Degenhardt, L., Lynskey, M., & Hall, W. (2002) · BMJ · doi:10.1136/bmj.325.7374.1195 · Cited by 997
Stress weakens prefrontal networks: molecular insults to higher cognition
Arnsten, A. F. T. (2015) · Nature Neuroscience · doi:10.1038/nn.4087 · Cited by 752
Pearson, R. M., Evans, J., Kounali, D., Lewis, G., Heron, J., Ramchandani, P. G., O’Connor, T. G., & Stein, A. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.2163 · Cited by 589
Self-citation
Metadata
- Authors
- Bebbington, P., Dunn, G., Jenkins, R., Lewis, G., Brugha, T., Farrell, M., & Meltzer, H.
- Venue
- International Review of Psychiatry
- Publisher
- Informa UK Limited
- Published
- 2003-01
- Volume
- 15
- Issue
- 1-2
- Pages
- 74-83
- ISSN
- 0954-0261
- 1369-1627
- Cited by
- 131
- References
- 5
- Language
- en
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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.
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How to cite
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- This page
- CoChat. (2026). Citation check: The influence of age and sex on the prevalence of depressive conditions: report from the National Survey of Psychiatric Morbidity. https://app.cochat.ai/papers/10.1080/0954026021000045976
- The paper
- Bebbington, P., Dunn, G., Jenkins, R., Lewis, G., Brugha, T., Farrell, M., & Meltzer, H. (2003). The influence of age and sex on the prevalence of depressive conditions: report from the National Survey of Psychiatric Morbidity. International Review of Psychiatry. https://doi.org/10.1080/0954026021000045976
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.
