Novel subgroups of obesity and their association with outcomes: a data-driven cluster analysis.

ABSTRACT:

Background

Obesity is associated with various complications and decreased life expectancy, and substantial heterogeneity in complications and outcomes has been observed. However, the subgroups of obesity have not yet been clearly defined. This study aimed to identify the subgroups of obesity especially those for target of interventions by cluster analysis.

Methods

In this study, an unsupervised, data-driven cluster analysis of 9,494 individuals with obesity (body mass index ≥ 35 kg/m²) was performed using the data of ICD-10, drug, and medical procedure from the healthcare claims database. The prevalence and clinical characteristics of the complications such as diabetes in each cluster were evaluated using the prescription records. Additionally, renal and life prog

SUBMITTER: Takeshita S 

PROVIDER: S-EPMC10775568 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature