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The Collectivity of Drinking Cultures: A Theory of the Distribution of Alcohol Consumption.*
Abstract
Summary: In this paper it is argued that Ledermann's so‐called single‐distribution theory is not based on substantial hypotheses about human drinking behaviour, and that it therefore fails to explain anything. An alternative theory of the distribution of alcohol consumption is outlined. The theory is founded on two basic hypotheses about human drinking behaviour. The theory is tested against survey data from different countries, and it is concluded that a strong collective components exists in human drinking habits. As a main rule, the population tends to move in concert up and down the scale of consumption.
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Citations
Cited by
Alcohol policy and the public good
Edwards, G. (1997) · Addiction · doi:10.1080/09652149738204 · Cited by 632
Rose's Strategy of Preventive Medicine
Rose, G., Khaw, K.-T., & Marmot, M. (2008) · doi:10.1093/acprof:oso/9780192630971.001.0001 · Cited by 490
Mckee, M., & Britton, A. (1998) · Journal of the Royal Society of Medicine · doi:10.1177/014107689809100802 · Cited by 264
Britton, A., & McKee, M. (2000) · Journal of Epidemiology and Community Health · doi:10.1136/jech.54.5.328 · Cited by 239
Rehm, J., Kehoe, T., Gmel, G., Stinson, F., Grant, B., & Gmel, G. (2010) · Population Health Metrics · doi:10.1186/1478-7954-8-3 · Cited by 207
Metadata
- Authors
- Skog, O.
- Venue
- British Journal of Addiction
- Publisher
- Wiley
- Published
- 1985-03
- Volume
- 80
- Issue
- 1
- Pages
- 83-99
- ISSN
- 0952-0481 (ISSN-L)
- 2056-5178
- OpenAlex
- W2062407668
- Cited by
- 498
- References
- 0
- FWCI
- 10.07
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: The Collectivity of Drinking Cultures: A Theory of the Distribution of Alcohol Consumption.*. https://app.cochat.ai/papers/10.1111/j.1360-0443.1985.tb05294.x
- The paper
- Skog, O. (1985). The Collectivity of Drinking Cultures: A Theory of the Distribution of Alcohol Consumption.*. British Journal of Addiction. https://doi.org/10.1111/j.1360-0443.1985.tb05294.x
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.