Prevalence Trends of Diabetes Subgroups in the United States : A Data-driven Analysis Spanning Three Decades From NHANES (1988-2018)

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CONTEXT: Data-driven diabetes subgroups were proposed as an alternative to address diabetes heterogeneity. However, changes in trends for these subgroups have not been reported.

OBJECTIVE: Here, we analyzed trends of diabetes subgroups, stratified by sex, race, education level, age categories, and time since diabetes diagnosis in the United States.

METHODS: We used data from consecutive NHANES cycles spanning the 1988-2018 period. Diabetes subgroups (mild obesity-related [MOD], severe insulin-deficient [SIDD], severe insulin-resistant [SIRD], and mild age-related diabetes [MARD]) were classified using validated self-normalizing neural networks. Severe autoimmune diabetes (SAID) was assessed for NHANES-III. Prevalence was estimated using examination sample weights considering bicyclic changes (BCs) to evaluate trends and changes over time.

RESULTS: Diabetes prevalence in the United States increased from 7.5% (95% CI 7.1-7.9) in 1988-1989 to 13.9% (95% CI 13.4-14.4) in 2016-2018 (BC 1.09%, 95% CI 0.98-1.31, P < .001). Non-Hispanic Black people had the highest prevalence. Overall, MOD, MARD, and SIDD had an increase during the studied period. Particularly, non-Hispanic Black people had sharp increases in MARD and SIDD, Mexican Americans in SIDD, and non-Hispanic White people in MARD. Males, subjects with secondary/high school, and adults aged 40-64 years had the highest increase in MOD prevalence. Trends in diabetes subgroups sustained after stratifying time since diabetes diagnosis.

CONCLUSION: Prevalence of diabetes and its subgroups in the United States has increased from 1988 to 2018. These trends were different across sex, ethnicities, education, and age categories, indicating significant heterogeneity in diabetes within the US obesity burden, population aging, socioeconomic disparities, and lifestyle aspects could be implicated in the increasing trends of diabetes in the United States.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:107

Enthalten in:

The Journal of clinical endocrinology and metabolism - 107(2022), 3 vom: 17. Feb., Seite 735-742

Sprache:

Englisch

Beteiligte Personen:

Antonio-Villa, Neftali Eduardo [VerfasserIn]
Fernández-Chirino, Luisa [VerfasserIn]
Vargas-Vázquez, Arsenio [VerfasserIn]
Fermín-Martínez, Carlos A [VerfasserIn]
Aguilar-Salinas, Carlos A [VerfasserIn]
Bello-Chavolla, Omar Yaxmehen [VerfasserIn]

Links:

Volltext

Themen:

Diabetes subgroups
Journal Article
Maching learning
NHANES
Prevalence trends
Research Support, Non-U.S. Gov't
Type 2 diabetes mellitus

Anmerkungen:

Date Completed 02.03.2022

Date Revised 02.03.2022

published: Print

Citation Status MEDLINE

doi:

10.1210/clinem/dgab762

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM332274225