The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Measuring paternal discrepancy and its public health consequences: Table 1
Open accessAbstract
Paternal discrepancy (PD) occurs when a child is identified as being biologically fathered by someone other than the man who believes he is the father. This paper examines published evidence on levels of PD and its public health consequences. Rates vary between studies from 0.8% to 30% (median 3.7%, n = 17). Using information from genetic and behavioural studies, the article identifies those who conceive younger, live in deprivation, are in long term relationships (rather than marriages), or in certain cultural groups are at higher risk. Public health consequences of PD being exposed include family break up and violence. However, leaving PD undiagnosed means cases having incorrect information on their genetics and fathers continuing to suspect that children may not be theirs. Increasing paternity testing and use of DNA techniques in clinical and judicial procedures means more cases of PD will be identified. Given developing roles for individual’s genetics in decisions made by health services, private services (for example, insurance), and even in personal lifestyle decisions, the dearth of intelligence on how and when PD should be exposed urgently needs addressing.
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Metadata
- Authors
- Bellis, M. A., Hughes, K., Hughes, S., & Ashton, J. R.
- Venue
- Journal of Epidemiology and Community Health
- Publisher
- BMJ
- Published
- 2005-08-12
- Volume
- 59
- Issue
- 9
- Pages
- 749-754
- ISSN
- 0141-7681 (ISSN-L)
- 0143-005X
- 1470-2738
- OpenAlex
- W2147476659
- Cited by
- 264
- References
- 54
- FWCI
- 32.91
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Bellis, M. A., Hughes, K., Hughes, S., & Ashton, J. R. (2005). Measuring paternal discrepancy and its public health consequences: Table 1. Journal of Epidemiology and Community Health. https://doi.org/10.1136/jech.2005.036517
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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.
