4.7 Article

Trend dynamics of gout prevalence among the Chinese population, 1990-2019: A joinpoint and age-period-cohort analysis

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FRONTIERS IN PUBLIC HEALTH
卷 10, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fpubh.2022.1008598

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gout; hyperuricemia; epidemiology; joinpoint regression; age-period-cohort analysis; ARIMA model

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This study investigates the prevalence and factors influencing gout in China, and finds that the prevalence of gout is increasing rapidly. The study also suggests that age, period, and cohort have independent effects on the development of gout, and that gout is strongly correlated with the consumption of meat and aquatic products.
BackgroundThe burden of gout is increasing worldwide, which places a heavy burden on society and healthcare systems. This study investigates the independent effects of age, period, and cohort on the gout prevalence from 1990 to 2019 in China, compares these effects by gender and then predicts the future burden of gout over the next decade. MethodsThe data were obtained from the Global Burden of Disease (GBD) study in 2019. Joinpoint regression model was employed to calculate the annual percentage change (APC) in gout prevalence, and the age-period-cohort analysis was utilized to estimate the independent effects of age, period, and cohort. ARIMA model was extended to predict the gout epidemic in 2020-2029. ResultsIn 2019, there were 16.2 million cases of gout in China, with an age-standardized prevalence rate (ASPR) of 12.3 parts per thousand and 3.9 parts per thousand in men and women, respectively. During 1990-2019, the ASPR of gout was increasing significantly, with an average APC of 0.9%. The periods of 2014-2017 and 2001-2005 were joinpoint for men and women (APC: 6.3 and 5.6%). The age-period-cohort analyses revealed that the relative risk (RR) of developing gout increased with age, peaking at 70-74 years in men (RRage(70-74) = 162.9) and 75-79 years in women (RRage(75-79)=142.3). The period effect trended upward, with a more rapid increase in women (RRperiod(2019) = 2.31) than men (RRperiod(2019) = 2.23). The cohort effect generally peaked in the earlier cohort born in 1905-1909 for both sexes. Gout prevalence showed a strong positive correlation with the consumption of meat and aquatic products (r(meat) = 0.966, r(aquaticproducts) = 0.953). Within 2029, the ASPR of gout was projected to be 11.7 parts per thousand and 4.0 parts per thousand in men and women, respectively. ConclusionThe prevalence of gout is increasing at an alarming rate in China; thus, it is necessary to provide targeted health education, regular screening, and accessible urate-lowering therapy healthcare to prevent and protect against gout in China, particularly in older women.

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