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2012 BRFSS Survey Results: North Carolina Counties and Regions

Pre-Diabetes

Have you had a test for high blood sugar or diabetes within the past three years?*

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  Total
Respond.^
Yes No
N % C.I.(95%) N % C.I.(95%)
North Carolina 9,682 6,130 58.6 57.3-59.9 3,552 41.4 40.1-42.7
COUNTY/REGIONS
Buncombe 323 199 57.1 50.0-64.0 124 42.9 36.0-50.0
Cumberland 360 245 63.8 57.3-69.9 115 36.2 30.1-42.7
Durham 382 228 51.2 44.6-57.7 154 48.8 42.3-55.4
Forsyth 356 232 61.6 54.7-68.0 124 38.4 32.0-45.3
Gaston 292 186 61.4 53.1-69.0 106 38.6 31.0-46.9
Guilford 424 269 58.2 52.1-64.0 155 41.8 36.0-47.9
Mecklenburg 527 317 58.8 53.5-63.9 210 41.2 36.1-46.5
New Hanover 330 233 64.0 56.2-71.2 97 36.0 28.8-43.8
Union 342 223 61.6 53.5-69.2 119 38.4 30.8-46.5
Wake 592 373 60.2 55.2-64.9 219 39.8 35.1-44.8
NC REGIONS
Eastern NC 3,157 2,042 59.8 57.5-62.1 1,115 40.2 37.9-42.5
Piedmont 5,208 3,282 58.6 56.8-60.3 1,926 41.4 39.7-43.2
Western NC 1,317 806 54.9 51.3-58.5 511 45.1 41.5-48.7
AREA HEALTH EDUCATION CENTERS (AHEC)
Mountain AHEC 901 551 54.2 49.6-58.6 350 45.8 41.4-50.4
Northwest 1,554 995 59.4 56.3-62.5 559 40.6 37.5-43.7
Charlotte 1,567 978 58.4 54.9-61.8 589 41.6 38.2-45.1
Greensboro 1,116 686 55.5 51.7-59.2 430 44.5 40.8-48.3
Southern Regional 1,233 807 62.0 58.1-65.7 426 38.0 34.3-41.9
Southeast 609 419 62.3 56.9-67.5 190 37.7 32.5-43.1
Wake 1,400 880 59.2 55.8-62.6 520 40.8 37.4-44.2
Area L 328 198 54.8 47.9-61.5 130 45.2 38.5-52.1
Eastern 974 616 58.6 54.7-62.5 358 41.4 37.5-45.3

Back to Pre-Diabetes.

*The pre-diabetes screening question is asked only of respondents who reported NOT having diabetes.

PLEASE NOTE: Due to changes in the weighting methodology and other factors, results from 2012 are NOT comparable to 2010
and earlier years.

***The estimate was suppressed because it did not meet statistical reliability standards. See BRFSS 2012 Annual Results Technical Notes for more details.

^Use caution in interpreting cell sizes less than 50, % = Percentage, C.I.(95%) = Confidence Interval (at 95 percent probability level).
Percentages are weighted to population characteristics and therefore cannot be calculated exactly from the numbers in this table.

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This page was generated on 05AUG13.

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