The Use of a Network Analysis to Identify Associations and Temporal Patterns Among Non-communicable Diseases in Japan Based on a Large Medical Claims Database.

ABSTRACT:

Background

Reducing the considerable non-communicable disease (NCD) burden in the aging Japanese population depends on better understanding of the comorbid and temporal relationships between different NCDs.

Objective

We aimed to identify associations between NCDs and temporal patterns of NCDs in Japan using data from a large medical claims database.

Methods

The study used three-digit International Classification of Diseases, Tenth Revision codes for NCDs for employees and their dependents included in the MinaCare database, which covers the period since 2010. Associations between pairs of NCDs were assessed by calculating risk ratios. The calculated risk ratios were used to create a network of closely associated NCDs (risk ratio > 15, statistically significant) and to

SUBMITTER: Higa S 

PROVIDER: S-EPMC9392665 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature