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. 2019 May 4:8:100402.
doi: 10.1016/j.ssmph.2019.100402. eCollection 2019 Aug.

Establishing a causal link between social relationships and health using the Bradford Hill Guidelines

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Establishing a causal link between social relationships and health using the Bradford Hill Guidelines

Jeremy Howick et al. SSM Popul Health. .

Erratum in

Abstract

An abundance of evidence suggests that the size and quality of our social relationships improves humans' physical and mental health while increasing lifespan. However most of this evidence comes from observational rather than experimental (randomised trial) evidence, leaving open the possibility that the connection between social relationships and health could be associational rather than causal. However there are examples, including the link between smoking and lung cancer, where a cause was established without experimental evidence. This was sometimes achieved by looking at the totality of evidence, using the 'Bradford Hill Guidelines', which considers factors including the strength of association, reversibility, and evidence of a plausible mechanism. In this paper we apply the Bradford Hill Guidelines to the link between social relationships and health. We conclude that having strong and supportive social relationships causes better health and longer life. Beyond establishing that social relationships are a causal factor for health, the method we used here can be applied to other areas where randomised trials are unethical or not feasible.

Keywords: Bradford Hill; Causation; Evidence-based medicine; Experiment; Health; Randomised trial; Social networks; Social relationships; Urban planning.

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Figures

Fig. 1
Fig. 1
Causation versus correlation. On the left the cause of longer life is social relationships (via better health). On the right side the cause of longer life is better health (which also makes better social relationships possible). (Note: more complicated models where social relationships and health interact to influence each other are plausible and perhaps even likely, but are not shown in this simplified example.)

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