Epidemiological Patterns of Cannabis- and Substance- Related Congenital Uronephrological Anomalies in Europe
Geospatiotemporal and Causal Inferential Study
Bibliographic Data
| ID | 15488245 |
|---|---|
| Authors | Albert Stuart Reece (0000-0002-3256-720X, Edith Cowan University, corresponding author), Gary Kenneth Hulse (0000-0002-7907-0233, Edith Cowan University) |
| Year | 2022 |
| Volume | 19 |
| Issue | 21 |
| Pages | 13769-13769 |
| Publication date | 2022-10-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph192113769 |
| PMID | 36360648 |
| OpenAlex | W4307190583 |
| Language | EN |
| References cited | 14 |
Analysis confirms a close relationship between cannabis metrics and all seven UCA's and fulfill formal criteria for quantitative causal inference. Given the exponential cannabinoid genotoxicity dose-response relationship results provide a powerful stimulus to constrain community cannabinoid exposure including protection of the food chain to preserve the genome and epigenome of coming generations
Cannabis · Psychiatry · Cannabis and Cannabinoid Research · Demography · Medicine · Prenatal Substance Exposure Effects · Urological Disorders and Treatments · Epidemiology · Internal Medicine · Pediatrics
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| Highly cited | No |
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