Background Skin cancers are the most common form of cancer occurring in white populations. They account for approximately 40% of all cancer cases globally, with the highest incidence in Australia. The three most common histological types of skin cancer are basal cell carcinoma (BCC), cutaneous squamous cell carcinoma (cSCC) and melanoma. The risk of developing skin cancer depends on both environmental and constitutional factors. Exposure to ultraviolet radiation (UVR) is the major environmental risk factor for BCC, cSCC and melanoma, and skin phenotypic characteristics are the major constitutional risk factors. Cigarette smoking, obesity and height have been shown to have an etiologic effect for many cancers in humans, but their associations with skin cancer are unclear. Studies examining the relationships between these factors and skin cancer have been limited by factors such as lack of information on established skin cancer risk factors, inadequate approach to statistical analyses, and lack of exploration of other potential sources of bias, such as detection bias. Aim The overall aim of this thesis was to assess whether cigarette smoking, obesity (estimated by body mass index (BMI)) and height are independent risk factors for BCC, cSCC and melanoma using various epidemiological and statistical techniques. In particular, the research aimed to address some of the limitations arising from previous studies. Methods This research was conducted using data from the QSkin Sun and Health Study (n=43,794), supplemented by linkage to various health databases including the Australian national health insurance scheme (Medicare), pathology laboratories and the Queensland Cancer Registry. Smoking history, BMI and height were self-reported at baseline, with nearly perfect repeatability. Hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between smoking, BMI and height were estimated using multivariable Cox proportional hazards regression, accounting for death as a competing event. viii Acknowledgements Undertaking this PhD journey has been a truly life-changing experience for me and the work presented in this thesis would not have been possible without the support that I received from many people. I would like to express my special appreciation and thanks to my principal supervisor Professor David Whiteman. Thank you for giving me your time and support over the years. Your advice on both research as well as on my career have been invaluable. You have taught me how to think critically, communicate more clearly and concisely and become a better researcher. Thank you for allowing me to pursue various projects without objection.