The findings from this research could help inform interventions for the prevention of obesity. Social connections are amenable to change, meaning they are a promising social exposure to target. Recently, there has been increased interest in non-medical interventions, meaning social connections could provide the basis for another non-medical intervention to develop. The research could also inform how different social connections impact health via different pathways and which dimensions need prioritising in clinical and policy settings. This could improve intervention effectiveness. Focussing on early life stages may encourage a more proactive approach to obesity prevention, rather than a reactive approach such as treatment. This is important as many treatment options for obesity are inadequate and have not been able to reverse the trend of increasing obesity worldwide. Furthermore, the multi-dimensional approach should encourage the development of upstream interventions rather than downstream interventions from policymakers, again improving effectiveness. Finally, elucidating the biosocial mechanisms will help identify specific targets for interventions, perhaps encouraging a combination of medical and social approaches. The UK is currently facing an economic crisis with frequent strike action and energy prices increasing. Considering the vast direct and indirect economic impact of the obesity epidemic, it is crucial to identify ways to prevent obesity to alleviate pressure on the NHS and reduce public spending. Taking a lifecourse approach and exploring predictors of obesity in early life, such as the current project proposes, can aid and encourage the development of preventative strategies. Consequently, as less funds are directed to tackle the obesity epidemic, more can be directed towards other issues. From an academic point of view, this project will provide a comprehensive, multi-dimensional social connections framework that could be used to explore other chronic diseases. This multi-faceted approach will allow us to understand how the dimensions are independently and/or interactively associated with adverse health outcomes via different pathways. Furthermore, seeking to understand the most appropriate lifecourse models for these associations will enable us to identify the most appropriate ways and times to intervene. The findings from this research are timely considering the COVID-19 pandemic. The pandemic has significantly impacted our ability to socially connect with others, meaning there is an increased risk of the adverse health outcomes associated with isolation, loneliness, and poorer quality social connections. The overriding public perception of obesity remains that it is caused by the individual, for example being ‘lazy’. This demonstrates a lack of understanding around the biopsychosocial predictors of obesity. The proposed research could be used to help educate the public to better understand the issue of obesity. Ultimately, this should help reduce the stigma and, in turn, increase support for prevention and treatment efforts. Overall, the potential impact of the project outlined above will have an important effect on reducing the burden on individuals, societies, healthcare, and public health finances.