The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Meta-Analysis of the Association of Urbanicity With Schizophrenia
Open accessAbstract
The association between urbanicity and risk of schizophrenia is well established. The incidence of schizophrenia has been observed to increase in line with rising levels of urbanicity, as measured in terms of population size or density. This association is expressed as Incidence Rate Ratio (IRR), and the results are usually presented by comparing the most urban with the most rural environment. In this study, we undertook to express the effect of urbanicity on the risk of schizophrenia in a linear form and to perform a meta-analysis of all available evidence. We first employed a simple regression analysis of log (IRR) as given in each study on the urbanicity category, assuming a uniform distribution and a linear association. In order to obtain more accurate estimates, we developed a more sophisticated method that generates individual data points with simulation from the summary data presented in the original studies, and then fits a logistic regression model. The estimates from each study were combined with meta-analysis. Despite the challenges that arise from differences between studies as regards to the number and relative size of urbanicity levels, a linear association was observed between the logarithm of the odds of risk for schizophrenia and urbanicity. The risk for schizophrenia at the most urban environment was estimated to be 2.37 times higher than in the most rural environment. The same effect was found when studies measuring the risk for nonaffective psychosis were included.
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.
Integrity signals
Registry
Cites
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.
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
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
The environment and schizophrenia
van Os, J., Kenis, G., & Rutten, B. P. F. (2010) · Nature · doi:10.1038/nature09563 · Cited by 1,572
Cited by
Owen, M. J., Sawa, A., & Mortensen, P. B. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01121-6 · Cited by 1,870
Lund, C., Brooke-Sumner, C., Baingana, F., Baron, E. C., Breuer, E., Chandra, P., Haushofer, J., Herrman, H., Jordans, M., Kieling, C., et al. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(18)30060-9 · Cited by 1,147
Meta-analysis of the Association Between the Level of Cannabis Use and Risk of Psychosis
Marconi, A., Di Forti, M., Lewis, C. M., Murray, R. M., & Vassos, E. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw003 · Cited by 899
Self-citationGalletly, C., Castle, D., Dark, F., Humberstone, V., Jablensky, A., Killackey, E., Kulkarni, J., McGorry, P., Nielssen, O., & Tran, N. (2016) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867416641195 · Cited by 877
Engemann, K., Pedersen, C. B., Arge, L., Tsirogiannis, C., Mortensen, P. B., & Svenning, J.-C. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1807504116 · Cited by 668
Self-citationJacobi, F., Höfler, M., Siegert, J., Mack, S., Gerschler, A., Scholl, L., Busch, M. A., Hapke, U., Maske, U., Seiffert, I., et al. (2014) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1439 · Cited by 586
Improving outcomes of first‐episode psychosis: an overview
Fusar‐Poli, P., McGorry, P. D., & Kane, J. M. (2017) · World Psychiatry · doi:10.1002/wps.20446 · Cited by 575
What causes psychosis? An umbrella review of risk and protective factors
Radua, J., Ramella‐Cravaro, V., Ioannidis, J. P. A., Reichenberg, A., Phiphopthatsanee, N., Amir, T., Yenn Thoo, H., Oliver, D., Davies, C., Morgan, C., et al. (2018) · World Psychiatry · doi:10.1002/wps.20490 · Cited by 553
Self-citationPsychosis as a transdiagnostic and extended phenotype in the general population
van Os, J., & Reininghaus, U. (2016) · World Psychiatry · doi:10.1002/wps.20310 · Cited by 531
Advances in understanding and treating persecutory delusions: a review
Freeman, D., & Garety, P. (2014) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-014-0928-7 · Cited by 348
From adversity to psychosis: pathways and mechanisms from specific adversities to specific symptoms
Bentall, R. P., de Sousa, P., Varese, F., Wickham, S., Sitko, K., Haarmans, M., & Read, J. (2014) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-014-0914-0 · Cited by 320
Cross talk: the microbiota and neurodevelopmental disorders
Kelly, J. R., Minuto, C., Cryan, J. F., Clarke, G., & Dinan, T. G. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00490 · Cited by 271
Association of DNA methylation differences with schizophrenia in an Epigenome-Wide association study
Montano, C., Taub, M. A., Jaffe, A., Briem, E., Feinberg, J. I., Trygvadottir, R., Idrizi, A., Runarsson, A., Berndsen, B., Gur, R. C., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0144 · Cited by 180
Predictors of treatment resistance in patients with schizophrenia: a population-based cohort study
Wimberley, T., Støvring, H., Sørensen, H. J., Horsdal, H. T., MacCabe, J. H., & Gasse, C. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00575-1 · Cited by 153
Sariaslan, A., Larsson, H., D’Onofrio, B., Långström, N., Fazel, S., & Lichtenstein, P. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu105 · Cited by 95
Guloksuz, S., van Nierop, M., Lieb, R., van Winkel, R., Wittchen, H.-U., & van Os, J. (2015) · Psychological Medicine · doi:10.1017/s0033291715000380 · Cited by 88
Gendron, M., Mesquita, B., & Barrett, L. F. (2020) · Culture, Mind, and Brain · doi:10.1017/9781108695374.010 · Cited by 20
Metadata
- Authors
- Vassos, E., Pedersen, C. B., Murray, R. M., Collier, D. A., & Lewis, C. M.
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-10-17
- Volume
- 38
- Issue
- 6
- Pages
- 1118-1123
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- OpenAlex
- W2159961735
- Cited by
- 508
- References
- 3
- FWCI
- 2.64
- 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.