Objective: Despite the recent doubling of the incidence of gout among women and its substantial prevalence particularly in the aging female population, the risk factors for gout among women remain unknown. We undertook this study to evaluate purported risk factors for incident gout among women and to compare them with those among men.Methods: Using prospective data from the Framingham Heart Study, we examined over a 52‐year period (1950–2002) the relationship between purported risk factors and the incidence of gout in 2,476 women and 1,951 men.Results: We documented 304 incident cases of gout, 104 of them among women. The incidence rates of gout for women per 1,000 person‐years according to serum uric acid levels of <5.0, 5.0–5.9, 6.0–6.9, 7.0–7.9, and ≥8.0 mg/dl were 0.8, 2.5, 4.2, 13.1, and 27.3, respectively (P for trend < 0.0001). The magnitude of this association was lower than that among men (P for interaction = 0.0002). Multivariate relative risks conferred by increasing age (per 5 years), obesity (body mass index ≥30 kg/m²), alcohol intake (≥7 ounces of pure alcohol/week), hypertension, and diuretic use were 1.24, 2.74, 3.10, 1.82, and 2.39, respectively (all P < 0.05), for women.Conclusion: These prospective data with long‐term followup provide evidence that higher levels of serum uric acid increase the risk of gout in a graded manner among women, but the rate of increase is lower than that among men. Increasing age, obesity, alcohol consumption, hypertension, and diuretic use were associated with the risk of incident gout among women.

Background: Recent data suggest that the risk of young-onset colorectal cancer (yCRC), in adults less than 50 years of age, is increasing. To confirm findings and identify contemporary trends worldwide, we conducted a systematic review of studies examining population-level trends in yCRC epidemiology. Methods: We searched MEDLINE (1946–2018), EMBASE (1974–2018), CINAHL (1982–2018), and Cochrane Database of Systematic Reviews (2005–2018) for studies that used an epidemiologic design, assessed trends in yCRC incidence or prevalence, and published in English. Extracted information included country, age cut-off for yCRC, and reported trends in incidence or prevalence (e.g. annual percent change [APC]). We pooled similarly reported trend estimates using random effects models. Results: Our search yielded 8695 articles and after applying our inclusion criteria, we identified 40 studies from 12 countries across five continents. One study assessed yCRC prevalence trends reporting an APCp of + 2.6 and + 1.8 among 20–39 and 40–49 year olds, respectively. 39 studies assessed trends in yCRC incidence but with substantial variability in reporting. Meta-analysis of the most commonly reported trend estimate yielded a pooled overall APCi of + 1.33 (95% CI, 0.97 to 1.68; p < 0.0001) that is largely driven by findings from North America and Australia. Also contributing to these trends is the increasing risk of rectal cancer as among 14 studies assessing cancer site, nine showed an increased risk of rectal cancer in adults less than 50 years with APCi up to + 4.03 (p < 0.001). Conclusions: Our systematic review highlights increasing yCRC risk in North America and Australia driven by rising rectal cancers in younger adults over the past two decades.

Our objective was to evaluate the independent relation between a history of gout and the future risk of type 2 diabetes among men with a high cardiovascular risk profile. We prospectively examined over a 6-yr period the relation between gout and the risk of incident type 2 diabetes in 11 351 male participants from the Multiple Risk Factor Intervention Trial (MRFIT). Incident diabetes was defined based on the American Diabetes Association (ADA) criteria for epidemiological studies. Cox proportional hazards regression was used to adjust for potential confounders. We documented 1215 new cases of type 2 diabetes. After adjusting for age, BMI, smoking, family history of type 2 diabetes, alcohol intake, dietary factors and presence of individual components of the metabolic syndrome, the multivariate relative risk (RR) for incident type 2 diabetes among men with gout at baseline, as compared with men without gout, was 1.34 (95% CI 1.09, 1.64). When we further adjusted for serum uric acid levels, the association remained significant (RR 1.26; 95% CI 1.02, 1.54). When we updated the status of gout annually during follow-up as a time-varying covariate, the association remained similar. The association also remained similar in our subgroup analyses by major covariates (P-values for interaction >0.16). These findings from men with a high cardiovascular risk profile suggest that men with gout are at a higher future risk of type 2 diabetes independent of other known risk factors. These data expand on well-established, cross-sectional associations between hyperuricaemia, gout and the metabolic syndrome, and extend the link to the future risk of type 2 diabetes.