Validated methods for identifying individuals with obesity in health care administrative databases: A systematic review.
Sékou SamadoulougouLeanne IdzerdaRoxanne DaultAlexandre LebelAnne-Marie CloutierAlain VanassePublished in: Obesity science & practice (2020)
When obesity is reported in health care administrative databases, it is usually correctly reported; however, obesity tends to be highly underreported in databases. Therefore, case-identification methods to monitor the prevalence and incidence of obesity within health care administrative databases are not reliable. In contrast, the use of these methods remains relevant for the selection of individuals with obesity for cohort studies, particularly when identifying cohorts of individuals with severe obesity or cohorts where obesity is associated with comorbidities.
Keyphrases
- insulin resistance
- metabolic syndrome
- weight loss
- healthcare
- high fat diet induced
- type diabetes
- weight gain
- computed tomography
- risk factors
- body mass index
- adipose tissue
- skeletal muscle
- magnetic resonance
- early onset
- physical activity
- deep learning
- artificial intelligence
- social media
- health information
- drug induced