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2013 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 6,866 4,515 60.0 58.3-61.6 2,351 40.0 38.4-41.7
COUNTY/REGIONS
Buncombe 237 162 54.3 44.8-63.5 75 45.7 36.5-55.2
Cumberland 288 189 54.4 45.6-63.0 99 45.6 37.0-54.4
Durham 284 191 57.7 49.4-65.5 93 42.3 34.5-50.6
Forsyth 275 204 67.8 59.0-75.4 71 32.2 24.6-41.0
Gaston 229 156 65.6 55.1-74.7 73 34.4 25.3-44.9
Guilford 301 208 62.1 54.4-69.3 93 37.9 30.7-45.6
Mecklenburg 361 216 53.9 47.5-60.2 145 46.1 39.8-52.5
New Hanover 269 192 62.3 53.0-70.7 77 37.7 29.3-47.0
Union 223 *** *** *** *** *** ***
Wake 395 239 61.2 55.5-66.6 156 38.8 33.4-44.5
NC REGIONS
Eastern NC 2,029 1,346 59.4 56.1-62.5 683 40.6 37.5-43.9
Piedmont 4,032 2,645 59.8 57.7-61.9 1,387 40.2 38.1-42.3
Western NC 805 524 61.2 56.6-65.6 281 38.8 34.4-43.4
AREA HEALTH EDUCATION CENTERS (AHEC)
Mountain AHEC 576 392 63.5 57.8-68.8 184 36.5 31.2-42.2
Northwest 1,142 756 61.3 57.5-65.0 386 38.7 35.0-42.5
Charlotte 1,162 744 55.5 51.2-59.7 418 44.5 40.3-48.8
Greensboro 865 572 61.1 56.5-65.5 293 38.9 34.5-43.5
Southern Regional 933 612 59.1 53.8-64.3 321 40.9 35.7-46.2
Southeast 448 310 60.2 53.5-66.6 138 39.8 33.4-46.5
Wake 1,036 673 61.3 57.4-65.1 363 38.7 34.9-42.6
Area L & Eastern 704 456 58.9 54.0-63.6 248 41.1 36.4-46.0

Back to Pre-Diabetes.

*The pre-diabetes screening question is asked only of respondents who reported NOT having diabetes, or NOT having pre-diabetes
if reported in the Chronic Health Conditions Module.

PLEASE NOTE: Due to changes in the weighting methodology and other factors, results from 2013
are NOT comparable to 2010 and earlier years.

***The estimate was suppressed because it did not meet statistical reliability standards. See BRFSS 2013 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 29JUL14.

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