Comparison of several survey-based algorithms to ascertain type 1 diabetes among US adults with self-reported diabetes.
algorithms
diabetes mellitus
epidemiology
surveys and questionnaires
type 1
Journal
BMJ open diabetes research & care
ISSN: 2052-4897
Titre abrégé: BMJ Open Diabetes Res Care
Pays: England
ID NLM: 101641391
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
23
09
2020
revised:
04
11
2020
accepted:
15
11
2020
entrez:
10
12
2020
pubmed:
11
12
2020
medline:
22
6
2021
Statut:
ppublish
Résumé
Defining type of diabetes using survey data is challenging, although important, for determining national estimates of diabetes. The purpose of this study was to compare the percentage and characteristics of US adults classified as having type 1 diabetes as defined by several algorithms. This study included 6331 respondents aged ≥18 years who reported a physician diagnosis of diabetes in the 2016-2017 National Health Interview Survey. Seven algorithms classified type 1 diabetes using various combinations of self-reported diabetes type, age of diagnosis, current and continuous insulin use, and use of oral hypoglycemics. The percentage of type 1 diabetes among those with diabetes ranged from 3.4% for those defined by age of diagnosis <30 years and continuous insulin use (algorithm 2) to 10.2% for those defined only by continuous insulin use (algorithm 1) and 10.4% for those defined as self-report of type 1 (supplementary algorithm 6). Among those defined by age of diagnosis <30 years and continuous insulin use (algorithm 2), by self-reported type 1 diabetes and continuous insulin use (algorithm 4), and by self-reported type 1 diabetes and current insulin use (algorithm 5), mean body mass index (BMI) (28.6, 27.4, and 28.5 kg/m Estimates of type 1 diabetes using commonly used algorithms in survey data result in varying degrees of prevalence, characteristic distributions, and potential misclassification.
Identifiants
pubmed: 33298431
pii: 8/2/e001917
doi: 10.1136/bmjdrc-2020-001917
pmc: PMC7733112
pii:
doi:
Substances chimiques
Insulin
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Commentaires et corrections
Type : CommentIn
Informations de copyright
© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
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