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ABSTRACT: Aim
To determine whether body mass index (BMI) can be accurately identified in epidemiological studies using claims databases.Materials and methods
Using the Mass General Brigham Research Patient Data Repository-Medicare-linked database, we identified a cohort of patients with a BMI measurement for the periods January 1 to June 31, 2014 or January 1 to June 31, 2016, to capture both the International Classification of Disease (ICD)-9 and ICD-10 eras. Patients were divided into two groups, with or without an obesity-related ICD code in the 6 months before or after the BMI measurement date. We created two binary measures, first for composite overweight, obesity, or severe obesity (BMI ≥25 kg/m2 ), and second for obesity or severe obesity (BMI ≥30 kg/m2 )
SUBMITTER: Suissa K
PROVIDER: S-EPMC8578343 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature