Prevalence and risk factors of hyperuricemia: results of the Kailuan cohort study

<p><b>Objective:</b> The objective of this study is to determine the serum uric acid (SUA) level and the prevalence of hyperuricemia (HUA) in Chinese population.</p> <p><b>Methods:</b> We conducted a cross-sectional study among 100,226 employees (79.9% male) of the Kailuan Group using physical examination data in 2006–2007. HUA was defined as SUA >356.9 μmol/L (6.0 mg/dL) for women and SUA >416.4 μmol/L (7.0 mg/dL) for men. We investigated crude and age adjusted HUA prevalence and compared characteristics of subjects with and without HUA in men and women using multivariate logistic regression.</p> <p><b>Results:</b> SUA levels were 244.9 ± 71.5 μmol/L in women and 302.0 ± 83.5 μmol/L in men. About 8290 (8.27%) subjects were diagnosed with HUA. Age-adjusted prevalence of HUA was 8.02% in the total sample (6.87% in women and 8.57% in men). The SUA level and HUA prevalence showed U-shaped or J-shaped associations with age. Multivariate logistic regression revealed age, waist circumference, total cholesterol, triglyceride, hypertension and non-alcoholic fatty liver disease history, prolonged sitting, alcohol consumption, and oral diuretics were independent risk factors of HUA, while long sleep duration was protective against HUA.</p> <p><b>Conclusions:</b> The prevalence of HUA is 6.87% and 8.57% in Chinese women and men. HUA is likely related with life style and metabolic disorders.</p

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions