Earlier findings from the same study data led with "Childhood intelligence was inversely associated with all major causes of death": https://doi.org/10.1136/bmj

Earlier findings from the same study data led with "Childhood intelligence was inversely associated with all major causes of death": https://doi.org/10.1136/bmj.j2708 https://doi.org/10.1136/bmj.j2708 There is definitely a conversation taking place in the research community regarding the degree to which the genetics of intelligence and the genetics of physical robustness overlap to provide some contribution to the intelligence-longevity relationship. The size of the longevity-wealth and intelligence-education-wealth relationships make it challenging of course, which is why much of the more interesting data is in lower species. Bees, for example: https://www.scientificamerican.com/article/old-and-wise/ https://www.scientificamerican.com/article/old-and-wise/ "The ability to handle stress could be a component of system integrity; better overall stress resilience may contribute to both higher IQ scores and longer life." There are still twin studies in our species, of course: http://www.lse.ac.uk/website-archive/newsAndMedia/news/archives/2015/07/Link-between-intelligence-and-longevity-is-mostly-genetic.aspx http://www.lse.ac.uk/website-archive/newsAndMedia/news/archi... “Our research shows that the link between intelligence and longer life is mostly genetic. So, to the extent that being smarter plays a role in doing a top job, the association between top jobs and longer lifespans is more a result of genes than having a big desk. However, it’s important to emphasise that the association between intelligence and lifespan is small. So you can’t, for example, deduce your child’s likely lifespan from how he or she does in their exams this summer.” And GWAS studies over large populations: http://dx.doi.org/10.1038/MP.2015.225 http://dx.doi.org/10.1038/MP.2015.225 "These findings indicate that a substantial level of pleiotropy exists between cognitive abilities and many human mental and physical health disorders and traits and that it can be used to predict phenotypic variance across samples."