Application of SCM with Bayesian B-Spline to Spatio-Temporal Analysis of Hypertension in China.

ABSTRACT: Most previous research on the disparities of hypertension risk has neither simultaneously explored the spatio-temporal disparities nor considered the spatial information contained in the samples, thus the estimated results may be unreliable. Our study was based on the China Health and Nutrition Survey (CHNS), including residents over 12 years old in seven provinces from 1991 to 2011. Bayesian B-spline was used in the extended shared component model (SCM) for fitting temporal-related variation to explore spatio-temporal distribution in the odds ratio (OR) of hypertension, reveal gender variation, and explore latent risk factors. Our results revealed that the prevalence of hypertension increased from 14.09% in 1991 to 32.37% in 2011, with men experiencing a more obvious change than women. Fr

SUBMITTER: Ye Z 

PROVIDER: S-EPMC5800154 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature