Evidence-based screening, clinical care and health education recommendations for Alaska Native peoples with prediabetes living in southcentral Alaska: findings from the Alaska EARTH follow-up study

Kathryn R Koller; Sarah H Nash; Julie A Beans; Gretchen M Day; Vanessa Y Hiratsuka; Ai-Ling Lin; Meera Narayanan; Christi A Patten; Sherry A Hammock; Barbara V Howard; Jason G Umans

doi:10.1080/22423982.2024.2343143

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Evidence-based screening, clinical care and health education recommendations for Alaska Native peoples with prediabetes living in southcentral Alaska: findings from the Alaska EARTH follow-up study

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Evidence-based screening, clinical care and health education recommendations for Alaska Native peoples with prediabetes living in southcentral Alaska: findings from the Alaska EARTH follow-up study

Kathryn R Koller, Sarah H Nash, Julie A Beans, Gretchen M Day, Vanessa Y Hiratsuka, Ai-Ling Lin, Meera Narayanan, Christi A Patten, Sherry A Hammock, Barbara V Howard, …

International journal of circumpolar health, Vol.83(1), 2343143

05/01/2024

DOI: 10.1080/22423982.2024.2343143

PMCID: PMC11064735

PMID: 38691019

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Abstract

Pre-diabetes (pre-DM) is a strong predictor of diabetes (DM) over time. This study investigated how much of the recent increase in pre-DM identified among Alaska Native (AN) peoples living in urban southcentral Alaska may be due to changes in diagnostic methods. We used clinical and demographic data collected at baseline between 2004 and 2006 and at follow-up collected between 2015 and 2017 from the urban southcentral Alaska Education and Research Towards Health (EARTH) cohort. We used descriptive statistics and logistic regression to explore differences in demographic and clinical variables among the identified pre-DM groups. Of 388 participants in the follow-up study, 243 had A1c levels indicating pre-DM with only 20 demonstrating pre-DM also by fasting blood glucose (FBG). Current smoking was the sole predictor for pre-DM by A1c alone while abdominal obesity and elevated FBG-predicted pre-DM by A1c+FBG. No participants had an elevated FBG without an A1c elevation. A substantial portion of the rise in pre-DM found among urban southcentral AN peoples in the EARTH follow-up study was due to the addition of A1c testing. Pre-DM by A1c alone should be used to motivate behavioural changes that address modifiable risk factors, including smoking cessation, physical activity and weight management.

Adult

Aged

Alaska - epidemiology

Alaska Natives

Blood Glucose - analysis

Female

Follow-Up Studies

Glycated Hemoglobin - analysis

Health Education - organization & administration

Humans

Male

Mass Screening

Middle Aged

Prediabetic State - diagnosis

Prediabetic State - ethnology

Risk Factors

Smoking - epidemiology

Smoking - ethnology

Details

Title: Subtitle: Evidence-based screening, clinical care and health education recommendations for Alaska Native peoples with prediabetes living in southcentral Alaska: findings from the Alaska EARTH follow-up study
Creators: Kathryn R Koller - Alaska Native Tribal Health Consortium
Sarah H Nash - University of Iowa
Julie A Beans - Southcentral Foundation
Gretchen M Day - Alaska Native Tribal Health Consortium
Vanessa Y Hiratsuka - Southcentral Foundation
Ai-Ling Lin - Alaska Native Tribal Health Consortium
Meera Narayanan - Alaska Native Tribal Health Consortium
Christi A Patten - Mayo Clinic in Florida
Sherry A Hammock - Alaska Native Tribal Health Consortium
Barbara V Howard - MedStar Health
Jason G Umans - Georgetown University
Resource Type: Journal article
Publication Details: International journal of circumpolar health, Vol.83(1), 2343143
DOI: 10.1080/22423982.2024.2343143
PMID: 38691019
PMCID: PMC11064735
NLM abbreviation: Int J Circumpolar Health
ISSN: 1239-9736
eISSN: 2242-3982
Grant note: T32 HS000084 / AHRQ HHS S06 GM142122 / NIGMS NIH HHS R01 CA088958 / NCI NIH HHS R01 CA096095 / NCI NIH HHS F32 HS000084 / AHRQ HHS
Language: English
Date published: 05/01/2024
Academic Unit: Epidemiology; Center for Social Science Innovation; Community and Behavioral Health
Record Identifier: 9984623024902771

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