Elio Riboli

BackgroundThe association of fitness with cancer risk is not clear.MethodsWe used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of lung, colorectal, endometrial, breast, and prostate cancer in a subset of UK Biobank participants who completed a submaximal fitness test in 2009-12 (N = 72,572). We also investigated relationships using two-sample Mendelian randomisation (MR), odds ratios (ORs) were estimated using the inverse-variance weighted method.ResultsAfter a median of 11 years of follow-up, 4290 cancers of interest were diagnosed. A 3.5 ml O2⋅min−1⋅kg−1 total-body mass increase in fitness (equivalent to 1 metabolic equivalent of task (MET), approximately 0.5 standard deviation (SD)) was associated with lower risks of endometrial (HR = 0.81, 95% CI: 0.73–0.89), colorectal (0.94, 0.90–0.99), and breast cancer (0.96, 0.92–0.99). In …

BackgroundA high body mass index (BMI, kg/m2) is associated with decreased risk of breast cancer before menopause, but increased risk after menopause. Exactly when this reversal occurs in relation to menopause is unclear. Locating that change point could provide insight into the role of adiposity in breast cancer etiology.MethodsWe examined the association between BMI and breast cancer risk in the Premenopausal Breast Cancer Collaborative Group, from age 45 up to breast cancer diagnosis, loss to follow-up, death, or age 55, whichever came first. Analyses included 609,880 women in 16 prospective studies, including 9956 who developed breast cancer before age 55. We fitted three BMI hazard ratio (HR) models over age-time: constant, linear, or nonlinear (via splines), applying piecewise exponential additive mixed models, with age as the primary time scale. We divided person-time into four strata …

BackgroundUnderweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories.MethodsWe used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5–19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school-aged children and …

Background Obesity and diabetes are associated inversely with low‐grade prostate cancer risk and affect steroid hormone synthesis but whether they modify each other's impact on prostate cancer risk remains unknown. Methods We examined the independent associations of diabetes, body mass index (BMI), ‘a body shape index’ (ABSI), hip index (HI), circulating testosterone, sex hormone binding globulin (SHBG) (per one standard deviation increase) and oestradiol ≥175 pmol/L with total prostate cancer risk using multivariable Cox proportional hazards models for UK Biobank men. We evaluated multiplicative interactions (pMI) and additive interactions (relative excess risk from interaction (pRERI), attributable proportion (pAR), synergy index (pSI)) with obese (BMI ≥30 kg/m2) and diabetes. Results During a mean follow‐up of 10.3 years, 9417 incident prostate cancers were diagnosed in 195,813 men …

Association of atopic dermatitis with depression and sleep quality in an Asian general population cohort of 8887 participants Association of atopic dermatitis with depression and sleep quality in an Asian general population cohort of 8887 participants J Eur Acad Dermatol Venereol. 2024 Feb 19. doi: 10.1111/jdv.19836. Online ahead of print. Authors Yik Weng Yew 1 2 , Bill Rong Qin Chang 2 , Theresia Mina 2 , Elio Riboli 2 3 , Eng Sing Lee 2 4 , Joanne Ngeow 2 5 , Paul Elliott 2 3 , John C Chambers 2 3 , Jimmy Lee 2 6 , Marie Loh 1 2 3 7 Affiliations 1 National Skin Centre, Singapore City, Singapore. 2 Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore City, Singapore. 3 Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. 4 Clinical Research Unit, National Healthcare Group Polyclinic, Singapore City, Singapore. 5 Division of …

In this study, we aimed to provide novel evidence on the impact of changing lifestyle habits on cancer risk. In the EPIC cohort, 295,865 middle-aged participants returned a lifestyle questionnaire at baseline and during follow-up. At both timepoints, we calculated a healthy lifestyle index (HLI) score based on cigarette smoking, alcohol consumption, body mass index and physical activity. HLI ranged from 0 (most unfavourable) to 16 (most favourable). We estimated the association between HLI change and risk of lifestyle-related cancers—including cancer of the breast, lung, colorectum, stomach, liver, cervix, oesophagus, bladder, and others—using Cox regression models. We reported hazard ratios (HR) with 95% confidence intervals (CI). Median time between the two questionnaires was 5.7 years, median age at follow-up questionnaire was 59 years. After the follow-up questionnaire, we observed 14,933 lifestyle …

High cortisol production in Cushing’s syndrome leads to fat centralisation. The influence of modest cortisol variations on body shape, however, is less clear. We examined potentially causal associations between morning plasma cortisol and body shape and obesity with inverse-variance weighted random-effects models in a two-sample Mendelian randomisation analysis. We used publicly available summary statistics from the CORtisol NETwork (CORNET) consortium, UK Biobank, and the Genetic Investigation of Anthropometric Traits (GIANT) consortium. Only in women, morning plasma cortisol (proxied by ten genetic polymorphisms) was associated positively with waist size reflected in waist-to-hip index (WHI, 0.035 standard deviation (SD) units change per one SD cortisol increase; 95% confidence interval (0.002–0.067); p = 0.036) and “a body shape index” (ABSI; 0.039 (0.006–0.071); p = 0.021). There was …

Objectives We aimed to describe the trajectories of cognitive and physical symptoms before, during, and after a positive- or negative SARS-CoV-2 test and in untested controls. Design A prospective cohort study. Setting Norway, 27 March 2020 to 6 July 2022 Participants A total of 146 065 volunteers were recruited. Of these, 120 605 participants (mean age 49 (SD 13.7), 69% female), were initially untested for the SARS-CoV-2 virus, completed one or more follow-up questionnaires (response rates 72-90%) and were included for analysis. After 22 months of follow-up, 15 737 participants had a positive SARS-CoV-2 test, 67 305 a negative test, and 37 563 were still untested. Main outcome measures We assessed reported symptoms the past three weeks of memory or concentration problems, anosmia and dysgeusia, dyspnoea, fatigue, fever, headache, cough, muscular pain, nasal symptoms, sore throat and abdominal pain at baseline and through four follow-up questionnaires. In addition, overall health compared to a year before was measured with a five-point scale and memory problems were measured using the Everyday Memory Questionnaire-13 at two timepoints. The exposure, SARS-CoV-2 test status (positive, negative or untested), was obtained from a mandatory national registry or from self-report, and data were analysed using mixed model logistic regression. Results A positive SARS-CoV-2-test was associated with the following persistent symptoms, compared with participants with a negative test (1-3 months after a negative test); memory problems (3 to 6 months after a positive test: adjusted odds ratio (OR) 9.1, 95% confidence …