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About this objective
Data
National baseline: 38.0 percent of adults aged 18 years and over, who had not been diagnosed with prediabetes or diabetes, had undiagnosed prediabetes in 2013-16
National target: 33.2 percent
Methodology
Questions used to obtain the national baseline data
From the 2013-2016 National Health and Nutrition Examination Survey:
Denominator:
{Have you/Has SP} ever been told by a doctor or other health professional that {you have/SP has} any of the following: prediabetes, impaired fasting glucose, impaired glucose tolerance, borderline diabetes or that {your/her/his} blood sugar is higher than normal but not high enough to be called diabetes or sugar diabetes?- Yes
- No
- Refused
- Don't know/Not stated
- Yes
- No
- Borderline or pre-diabetes
- Refused
- Don't know/Not stated
Methodology notes
The population at high risk for developing diabetes is defined as persons who have prediabetes —this includes persons who do not have doctor diagnosed diabetes (do not respond yes to ever being diagnosed with diabetes or sugar diabetes) and have either a fasting blood glucose level of greater than or equal to 100 or less than 126 mg/dl or have an A1c level of ≥5.7% to <6.5%.
Persons are considered not to have diagnosed pre-diabetes if they respond "no" to the question "have you ever been told by a doctor you have pre-diabetes" and "no" to the question "have you ever been told by a doctor that you have diabetes." Women who report that the only time they have been diagnosed with diabetes was during pregnancy (gestational diabetes) are also considered not to have diagnosed diabetes. Data for HbA1c are available for the whole sample, but data for fasting glucose are only measured for the morning examination session. For this analysis the cohort examined is restricted to persons in the AM exam session only. Backward calibration equations were used to account for changes in plasma glucose laboratory procedures over time.
Design changes were made to the August 2021-2023 NHANES cycle to minimize in-person contact during the COVID-19 pandemic. Refer to the Data Source page for more information. Unlike previous cycles, there was no oversampling of persons with family incomes <185% of the poverty threshold. This may result in lower confidence in the estimate and insufficient power to detect differences between groups. In addition, seventeen percent of interview participants had missing family income data.
Age-adjustment notes
This Indicator uses Age-Adjustment Groups:
- Total: 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Sex: 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Race/Ethnicity: 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Educational Attainment: 25-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Family Income (percent poverty guidelines): 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Health Insurance Status: 18-29, 30-39, 40-49, 50-59, 60-64
- Marital Status: 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Geographic Location: 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Country of Birth: 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Veteran Status: 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Activity Limitations: 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Sexual Orientation: 18-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80+
- Obesity Status: 20-49, 50-59, 60-69, 70-79, 80+
Footnotes
1. Effect size h=0.1 was chosen to correspond with 10% improvement from a baseline of 50%.