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State of Alaska

Complete Health Indicator Report of Diabetes: Prediabetes Prevalence

Definition

Percentage of adults 18 years of age and older who responded either "No, prediabetes or borderline diabetes" to the question: "Has a doctor, nurse, or other health professional ever told you have diabetes?" or, if the response was "No", then the respondent answered "Yes" or "Yes, during pregnancy" to the follow-up question: "Have you ever been told by a doctor or other health professional that you have pre-diabetes or borderline diabetes?" on the [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System (BRFSS)].

Numerator

Weighted number of adults (18+) who responded either "No, prediabetes or borderline diabetes" to the question: "Has a doctor, nurse, or other health professional ever told you have diabetes?" or, if the response was "No", then the respondent answered "Yes" or "Yes, during pregnancy" to the follow-up question: "Have you ever been told by a doctor or other health professional that you have pre-diabetes or borderline diabetes?" on the BRFSS.

Denominator

Weighted number of adults (18+) with complete and valid responses on the BRFSS to the diabetes and the prediabetes questions, excluding those with missing, "Don't know/Not sure", or "Refused" responses.

Data Interpretation Issues

The Behavioral Risk Factor Surveillance System (BRFSS) is the primary source for estimating prediabetes prevalence for Alaska. The median of states, District of Columbia, and territories provide a comparison for the United States (U.S.). The BRFSS is a telephone survey of adults 18 and over. Information on background and methodology of the BRFSS managed by the Centers for Disease Control and Prevention (CDC) can be found at: [http://www.cdc.gov/brfss/]. The website for the Alaska BRFSS is: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx]. Alaska data on prediabetes were obtained from the combined Standard and Supplemental Alaska BRFSS surveys from 2008 onward. Alaska Native people in analyses of the BRFSS refers to any mention of American Indian or Alaska Native heritage when enumerating racial and ethnic background. Individuals who indicate multiple races including American Indian/Alaska Native are considered Alaska Native in the data. When race and ethnicity are consider concurrently, Hispanic individuals with American Indian/Alaska Native heritage are combined into the Alaska Native (any mention) group and removed from the Hispanic class. This definition of the Alaska Native group is intended to conform to the eligibility requirements for access to Alaska Native Tribal Health Consortium health care services. Post-stratification weights were used for Alaska prior to 2006; raking weights were used from 2007 onward. For more on this methodological change see: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/method.aspx].

Why Is This Important?

Prediabetes is a condition in which individuals have blood glucose or A1c levels higher than normal, but not high enough to be classified as diabetes. Prediabetes is also referred to as Impaired Glucose Tolerance (IGT) or Impaired Fasting Glucose (IFG) - because it is a state of elevated blood glucose levels. Prediabetes affects a large portion of Alaskans. More than one out of every three U.S. adults has prediabetes and -- unfortunately -- 9 out of every 10 people with prediabetes do not know they have this condition.^1^ Without weight loss and moderate physical activity, many people with prediabetes will develop type 2 diabetes within 5 years.^2^ Prediabetes and type 2 diabetes result in higher risk of developing adverse health outcomes including, but not limited to: an increased risk of heart disease, stroke, neuropathy, kidney damage, eye damage, foot damage leading to amputations, hearing impairment, skin conditions, and in some cases Alzheimer's disease.^3-5^ These adverse health outcomes can largely be avoided through lifestyle changes and medication management. In addition to the adverse health outcomes, another negative consequence of type 2 diabetes is financial cost. According to An economic analysis of Alaska Medicaid claims it was estimated that diabetes cost the Alaska Medicaid program about $166 million in 2014; this was approximately $26,310 per beneficiary with diabetes in a single year.^8^ [[br]] [[br]] ---- {{class .SmallerFont See "'Resources and References"' tab for references. }}

Healthy People Objective: Increase the proportion of persons at high risk for diabetes with pre-diabetes who report increasing their levels of physical activity

U.S. Target: 49.1 percent

How Are We Doing?

The prevalence of prediabetes has been increasing in recent years, from 7.5% in 2008 to 10.5% in 2017. In 2017, the prevalence of prediabetes was higher in females (13.3%) compared to males (7.9%). Those less than 45 years of age have significantly lower prevalence of prediabetes than those 45 years of age and older. Prediabetes prevalence rates from the BRFSS are initially presented for all Alaskans and Alaska Native people for all available years from 2008-2017. Subsequent analyses are by demographic subpopulations (e.g. sex, age, race/ethnicity, ethnicity, marital status, education, employment status, income, and poverty status). Cross-tabulations were also conducted for three-year averages by body mass index, current smoking, sexual orientation, disability, and number of adverse childhood experiences (ACEs). Only the significant differences evident in contrasts by body mass index, disability, and ACEs are presented but the other results are available upon request. Prediabetes prevalence by regions of Alaska are presented for the most recent time period allowing reporting for all Alaskans and Alaska Native people: 1) single-year for the 6 Alaska Public Health Regions, 2) three-year averages by the 7 Metropolitan and Micropolitan Statistics Areas and rural remainder, 3) single-year for the 10 behavioral health assessment regions based upon aggregations of 20,000 population, 4) three-year averages for 29 boroughs and census areas, and 5) five-year averages for the 12 tribal health organization regions. These time intervals match those for the InstantAtlas health profiles for each of the geographic regionalizes of Alaska for those desiring longer time series.

What Is Being Done?

Public health partners around the state are using evidence-based practices to increase awareness of prediabetes, increase screenings and provide access to diabetes prevention programs leading to increased physical activity as well as other lifestyle changes. Some examples of evidence-based practices used are listed below.

Evidence-based Practices

'''Strategy 1:''' [[br]]Increase the number of people who are aware that they are at risk of developing type 2 diabetes.^10^ The Alaska Diabetes Prevention and Control Program (DPCP) works to increase public awareness of the warning signs, symptoms, and risk factors for developing diabetes. DPCP seeks innovative ways to encourage people at risk to recognize that they may be at risk for prediabetes and need to be tested. Increasing the individual's knowledge of prediabetes is the first step. '''Strategy 2:''' [[br]]Increase participation in an evidence-based diabetes prevention program to prevent, decrease, and delay the negative health consequences that are associated with prediabetes.^9^ Specifically, DPCP promotes the Diabetes Prevention Program (DPP). DPP is an evidence-based lifestyle change program for preventing type 2 diabetes.^9^ DPP is a year-long program, typically in a group format led by a lifestyle coach specially trained to lead the program. The program consists of 16 weekly sessions during the first six months, followed by monthly sessions during the second six months. Individuals learn the skills necessary to change behavior and follow a healthier lifestyle, including healthy eating, physical activity, stress reduction, problem-solving, and other life skills for living a longer and healthier life. The DPP has been able to help individuals lose 5% to 7% of their body weight and cut the risk of developing type 2 diabetes by 58% or more.^7,9-11^ You can learn more about this program at the National Diabetes Information Clearing House [http://diabetes.niddk.nih.gov/dm/pubs/preventionprogram/]. To learn more about this program and others go to [http://www.alaska.diabetes.gov]. [[br]] [[br]] ---- {{class .SmallerFont See "'Resources and References"' tab for references. }}

Available Services

Alaska Diabetes Prevention Program (DPP) locations: Anchorage: YMCA DPP [http://www.ymca.net/y-profile/?assn=0153&address=99507] Fairbanks: UAF Cooperative Extension Service, contact Leslie Shallcross at 907-474-2426; lashallcross@alaska.edu Juneau: Bartlett Regional Hospital [https://www.bartletthospital.org/services/diabetes-education.aspx] Ketchikan: Ketchikan Indian Community Prediabetes Prevention Program [http://kictribe.org/healthcare/wellness/index.html] Statewide: UAF Cooperative Extension Service [http://www.uaf.edu/ces/districts/anchorage/hhfd/]


Related Indicators

Relevant Population Characteristics

Anyone can develop diabetes or its prediabetes precursor, but the risk is greater for those who are older, overweight or obese, physically inactive, or members of certain minority racial or ethnic groups. As the Alaska population ages, and as the proportion of high-risk minority ethnic and racial groups in the population increases, a greater percentage of Alaskans will be at risk for developing prediabetes.

Related Relevant Population Characteristics Indicators:


Health Care System Factors

Screening for prediabetes and type 2 diabetes is generally recommended for all people aged 45 and over, although those with a high risk of developing diabetes (e.g., overweight, first degree relative with diabetes, physically inactive, diagnosed with gestational diabetes, member of certain minority racial or ethnic groups) should start screening at age 18. Testing for diabetes is generally covered by insurance. For those without insurance, the Alaska Chapter of the American Diabetes Association may be contacted about the availability of low-cost or free screening (907-272-1424).

Related Health Care System Factors Indicators:


Risk Factors

Being overweight or obese is a major risk factor for developing prediabetes and ultimately type 2 diabetes. The risk of developing prediabetes can be substantially reduced through weight loss and regular physical activity. The Diabetes Prevention Program Study showed that weight loss and participation in regular physical activity can significantly decrease the risk. The clinical trial included over 3,000 people who had impaired fasting glucose and were at an increased risk for developing type 2 diabetes. Participants who engaged in moderately intense physical activity for 30 minutes per day and lost 5% to 7% of their body weight decreased their risk of prediabetes and diabetes dramatically. This behavioral activity was effective in the study, regardless of age or ethnic group [https://www.niddk.nih.gov/about-niddk/research-areas/diabetes/diabetes-prevention-program-dpp/Pages/default.aspx]. Some risk factors cannot be modified, such as older age or being a member of a certain minority racial or ethnic group. Nevertheless, risk can be substantially reduced through adhering to a healthy diet, weight loss, and participating in regular physical activity.

Related Risk Factors Indicators:


Health Status Outcomes

Prediabetes can lead to type 2 diabetes that can have serious consequences. Type 2 diabetes is the leading cause of non-traumatic lower extremity amputations and blindness among working-age adults. It is a major risk factor for cardiovascular disease and end-stage renal disease.

Related Health Status Outcomes Indicators:




Graphical Data Views

Percentage of adults (18+) with prediabetes, crude rate, all Alaskans and Alaska Natives, 2008-2017

::chart - missing::
confidence limits

Alaska ComparisonsYearPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 20
All Alaskans20087.5%6.4%8.7%3774,910
All Alaskans20098.1%7.0%9.4%4414,748
All Alaskans20107.1%5.9%8.5%2683,192
All Alaskans20116.9%6.0%7.9%4666,016
All Alaskans20127.1%6.1%8.1%6788,215
All Alaskans20138.2%7.3%9.2%8509,076
All Alaskans20148.4%7.6%9.3%8928,916
All Alaskans20157.8%6.9%8.8%7107,913
All Alaskans201611.1%9.9%12.4%8967,271
All Alaskans201710.5%9.4%11.8%8156,910
Alaska Native people20089.3%6.7%12.7%951,046
Alaska Native people200910.8%8.0%14.4%112938
Alaska Native people20108.9%5.9%13.4%65601
Alaska Native people20118.4%6.3%11.1%1141,162
Alaska Native people20128.8%6.8%11.2%1801,761
Alaska Native people201310.5%8.2%13.3%1861,564
Alaska Native people201411.6%9.6%14.1%1901,424
Alaska Native people20159.6%7.6%12.2%1651,476
Alaska Native people201615.4%12.3%19.3%2151,317
Alaska Native people201713.0%10.3%16.3%1941,234

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by sex, all Alaskans, 2008-2017

::chart - missing::
confidence limits

HA: Males vs. FemalesYearPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 20
Males20086.3%4.8%8.1%1482,263
Males20096.0%4.6%7.8%1472,141
Males20104.3%3.0%6.0%761,434
Males20114.3%3.5%5.3%1582,763
Males20125.6%4.5%7.0%2463,805
Males20136.0%5.0%7.0%3094,156
Males20146.5%5.6%7.6%3444,061
Males20155.4%4.4%6.7%2453,647
Males20168.7%7.2%10.4%3323,325
Males20177.9%6.6%9.4%3073,343
Females20088.7%7.3%10.4%2292,647
Females200910.4%8.7%12.3%2942,607
Females201010.1%8.1%12.5%1921,758
Females20119.7%8.2%11.6%3083,253
Females20128.6%7.2%10.2%4324,410
Females201310.5%9.0%12.1%5414,920
Females201410.5%9.2%11.9%5484,855
Females201510.3%8.9%12.0%4654,266
Females201613.6%11.8%15.7%5643,946
Females201713.3%11.4%15.4%5083,567

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   The sex of the respondent is only asked if necessary.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by age, all Alaskans, 2008-2017

::chart - missing::
confidence limits

HA: Age Group: 18-24,25-34,35-44,45-64,65+YearPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 50
18-2420081.9%0.8%4.6%8277
18-2420092.1%0.6%7.0%6276
18-2420103.3%1.4%7.7%8141
18-2420114.2%1.9%8.7%12348
18-2420122.2%1.1%4.5%22569
18-2420132.5%1.3%4.8%21634
18-2420141.0%0.4%2.8%6480
18-2420153.0%1.3%6.5%12443
18-2420164.9%2.7%8.7%16375
18-2420173.6%1.5%8.3%11416
25-3420086.9%4.2%11.1%46802
25-3420095.8%3.5%9.6%44671
25-3420104.4%2.3%8.2%23416
25-3420113.5%2.2%5.6%41784
25-3420124.1%2.7%6.3%621,287
25-3420134.1%2.7%6.4%601,231
25-3420146.1%4.3%8.7%581,018
25-3420154.7%3.1%7.1%44884
25-3420167.6%5.0%11.2%46722
25-3420176.1%3.8%9.5%42764
35-4420087.1%5.1%10.0%62908
35-4420097.4%5.2%10.4%73846
35-4420107.4%4.8%11.2%45554
35-4420116.4%4.4%9.3%631,044
35-4420126.5%4.6%8.9%861,291
35-4420136.2%4.5%8.6%981,394
35-4420147.9%6.0%10.5%1021,319
35-4420156.2%4.3%8.8%631,046
35-4420169.8%7.0%13.4%94904
35-4420176.7%4.8%9.3%70874
45-6420089.9%8.2%12.0%1962,211
45-64200910.9%9.1%13.1%2302,145
45-6420109.2%7.1%11.9%1361,495
45-6420119.4%8.0%11.2%2442,663
45-6420129.6%7.9%11.6%3633,467
45-64201310.9%9.3%12.7%4273,935
45-64201410.6%9.4%12.1%4373,912
45-64201510.9%9.3%12.9%3603,427
45-64201613.7%11.9%15.8%4413,102
45-64201714.8%12.7%17.0%3962,813
65+20087.7%5.6%10.4%58656
65+200912.5%8.8%17.4%85753
65+20109.2%6.4%12.9%52541
65+20118.4%6.4%10.9%981,096
65+201210.7%7.6%14.7%1371,496
65+201316.0%12.9%19.6%2351,790
65+201412.7%10.7%15.0%2712,045
65+201511.0%8.9%13.4%2242,003
65+201617.2%13.9%21.2%2892,016
65+201715.7%13.0%18.9%2821,905

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Respondents are asked, "What is your age?, which is coded in years. Responses of Refused are excluded.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by race/ethnicity, all Alaskans, 2015-2017 (3-year average)

::chart - missing::
confidence limits

Percentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 7
Alaska Native (any mention)12.8%11.1%14.6%5744,026
Asian (non-Hispanic)9.8%6.2%15.1%43373
Black (non-Hispanic)12.5%7.8%19.6%34290
Native Hawaiian/Other Pacific Islander (non-Hispanic)4.7%1.9%10.8%993
White (non-Hispanic)9.2%8.5%9.9%1,62116,063
Multiracial/Other (non-Hisp.)8.7%4.5%16.1%26154
Hispanic (alone or multi)8.9%6.1%12.9%62564

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Race/ethnicity is determined by responses to three questions: [[br]] 1) "Are you Hispanic, Latino/a, or Spanish origin?" "If yes, are you...?" One or more categories may be selected from categories of (1) "Mexican, Mexican American, Chicano/a"; (2) "Puerto Rican"; (3) "Cuban"; (4) "Another Hispanic, Latino/a, or Spanish origin".[[br]] 2) "Which one or more of the following would you say is your race?" Response categories consist of "White", "Black or African American", "American Indian or Alaska Native", "Asian" (with subcategories of Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, or Other Asian), "Pacific Islander" (with subcategories of Native Hawaiian, Guamanian or Chamorro, Samoan, or Other Pacific Islander), Other, or No additional choices. [[br]] 3) If more than one response to race, then "Which one of these groups would you say best represents your race?" with choices from the list enumerated above. Responses of Don't Know/Not Sure or Refused are excluded.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by ethnicity, all Alaskans, 2008-2017

::chart - missing::
confidence limits

HA: Ethnicity - Hispanic/LatinoYearPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 20
Hispanic/Latino20083.9%1.7%8.4%10133
Hispanic/Latino200913.8%6.3%27.6%18131
Hispanic/Latino201012.2%4.6%28.4%772
Hispanic/Latino20117.7%3.3%16.8%10173
Hispanic/Latino20125.3%2.5%11.2%14244
Hispanic/Latino20139.6%5.4%16.5%26264
Hispanic/Latino20146.6%3.5%12.1%25249
Hispanic/Latino20153.4%1.4%7.9%12215
Hispanic/Latino201611.2%6.4%19.0%27219
Hispanic/Latino201712.5%7.1%21.1%31213
Not Hispanic/Latino20087.7%6.6%9.0%3634,707
Not Hispanic/Latino20097.8%6.8%9.1%4184,566
Not Hispanic/Latino20106.8%5.7%8.2%2583,079
Not Hispanic/Latino20116.8%5.9%7.9%4155,789
Not Hispanic/Latino20127.2%6.2%8.2%6617,916
Not Hispanic/Latino20138.1%7.2%9.1%8128,699
Not Hispanic/Latino20148.7%7.8%9.6%8648,526
Not Hispanic/Latino20158.1%7.2%9.2%6917,591
Not Hispanic/Latino201611.1%9.9%12.5%8606,933
Not Hispanic/Latino201710.3%9.2%11.6%7706,595

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Ethnicity is defined independent of race. It is based upon responses to the question, "Are you Hispanic, Latino/a, or Spanish origin?" Responses of "Don't Know/Not Sure" or "Refused" are excluded.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by marital status, all Alaskans, 2008-2017

::chart - missing::
confidence limits

HA: Marital StatusYearPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 50
Married20088.3%6.9%9.9%2092,731
Married20099.0%7.5%10.7%2462,690
Married20107.1%5.6%8.8%1471,828
Married20117.2%6.1%8.5%2493,323
Married20127.3%6.0%8.9%3664,429
Married20138.7%7.5%10.0%4504,905
Married20149.3%8.1%10.6%4984,973
Married20158.2%7.1%9.6%3784,359
Married201610.0%8.8%11.3%5144,057
Married201712.2%10.6%14.1%4743,739
Widowed20088.1%4.9%13.1%27306
Widowed200914.0%8.5%22.2%40326
Widowed201014.8%8.1%25.5%30238
Widowed201110.1%6.1%16.2%42432
Widowed20129.5%5.6%15.7%57612
Widowed201314.7%8.7%23.7%76674
Widowed201412.3%9.2%16.4%90698
Widowed20159.2%6.5%12.9%71667
Widowed201616.8%11.2%24.6%95642
Widowed201714.5%10.1%20.4%84613
Divorced/Separated200810.7%7.9%14.3%79843
Divorced/Separated200911.0%8.1%14.9%92797
Divorced/Separated201012.1%7.4%19.3%51503
Divorced/Separated20118.4%6.2%11.3%951,054
Divorced/Separated20128.3%6.0%11.3%1321,349
Divorced/Separated201311.0%8.5%14.0%1901,532
Divorced/Separated201411.1%8.8%13.8%1771,473
Divorced/Separated201511.8%8.9%15.4%1471,235
Divorced/Separated201617.8%13.5%23.0%1591,119
Divorced/Separated201713.8%10.4%18.2%1381,080
Never Married20084.9%2.8%8.4%49782
Never Married20094.0%2.2%7.1%44678
Never Married20104.0%2.4%6.7%33476
Never Married20114.5%2.8%7.1%55901
Never Married20125.4%3.9%7.5%901,418
Never Married20134.4%3.0%6.3%991,499
Never Married20144.4%3.2%6.1%891,334
Never Married20155.5%3.7%8.0%831,252
Never Married20168.4%6.0%11.6%1001,099
Never Married20175.5%3.8%8.0%831,099
Living with a Partner20083.7%1.6%8.5%10221
Living with a Partner20096.2%2.7%13.7%17224
Living with a Partner20104.2%1.5%11.0%5116
Living with a Partner20116.4%3.0%13.1%17251
Living with a Partner20127.6%4.4%13.0%29344
Living with a Partner20138.6%4.8%15.1%33400
Living with a Partner20148.7%5.3%14.0%29344
Living with a Partner20155.3%3.0%9.1%26327
Living with a Partner201613.7%8.1%22.2%28263
Living with a Partner20179.6%6.0%14.9%33321

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Marital status is determined by the question, "Are you ...?" with responses of "Married", 'Divorced", "Widowed", "Separated", "Never married," or "A member of an unmarried couple". Responses of "Refused" are excluded.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (25+) with prediabetes, crude rate, by education, all Alaskans, 2008-2017

::chart - missing::
confidence limits

HA: Edu Level: LT High School, High School, Some College, College GradYearPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 40
LT High School20087.5%3.8%14.3%24322
LT High School20098.8%5.5%13.8%27285
LT High School20108.3%4.3%15.6%21200
LT High School20118.3%5.2%13.1%36383
LT High School201210.6%6.7%16.4%49510
LT High School201310.5%6.6%16.3%42451
LT High School20149.6%6.6%13.9%49449
LT High School20156.6%4.2%10.2%38374
LT High School201611.9%7.2%19.1%44323
LT High School201712.7%8.1%19.6%42342
High School20089.4%7.0%12.5%1181,350
High School200910.3%7.8%13.5%1351,255
High School20106.3%4.3%9.3%66835
High School20116.9%5.5%8.7%1251,571
High School20127.5%5.8%9.6%1642,006
High School20139.0%7.1%11.2%2192,157
High School20149.5%7.9%11.5%2132,007
High School20157.9%6.2%10.0%1721,878
High School201611.2%9.0%14.0%2131,735
High School201711.3%8.9%14.3%1981,618
Some College20088.9%7.0%11.3%1201,358
Some College200910.3%8.2%12.9%1471,316
Some College20108.7%6.3%11.8%88895
Some College20117.8%6.1%10.0%1301,586
Some College20127.9%6.1%10.1%1952,250
Some College20139.4%7.8%11.4%2842,518
Some College20149.8%8.2%11.7%2802,388
Some College201510.4%8.5%12.7%2372,249
Some College201613.1%10.8%15.8%2922,018
Some College201712.5%10.4%15.0%2661,885
College Graduate20086.6%5.0%8.8%971,537
College Graduate20096.5%4.9%8.7%1231,553
College Graduate20107.7%5.6%10.4%811,071
College Graduate20116.7%5.4%8.2%1532,033
College Graduate20127.3%5.6%9.4%2392,758
College Graduate20138.4%6.9%10.3%2753,196
College Graduate20148.5%7.2%10.0%3253,404
College Graduate20157.5%6.2%9.2%2462,928
College Graduate201611.3%9.4%13.5%3232,724
College Graduate201710.0%8.3%11.9%2902,581

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Education is based upon education completed by or after 25 years of age. Individuals less than 25 years of age are excluded. Education is assessed by responses to the question: "What is the highest grade or year of school you completed?" Responses are "Never attended school or only attended kindergarten", "Grades 1 through 8 (Elementary)", "Grades 9 through 11 (Some high school)", "Grade 12 (High School Graduate)", "College 1 year to 3 years (Some college or technical school)", "College 4 years or more (College graduate)", or "Refused". Refusals are excluded.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (25+) with prediabetes, crude rate, by employment status, all Alaskans, 2008-2017

::chart - missing::
confidence limits

HA: EmploymentYearPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 40
Employed20087.0%5.8%8.5%2323,248
Employed20098.4%6.9%10.1%2672,981
Employed20106.9%5.4%8.8%1642,028
Employed20116.2%5.2%7.5%2673,671
Employed20127.0%5.8%8.4%3985,014
Employed20137.6%6.4%8.9%4455,421
Employed20147.3%6.4%8.4%4585,262
Employed20156.9%5.9%8.1%3784,607
Employed201610.3%8.8%12.0%4624,021
Employed20179.7%8.3%11.3%4263,931
Unemployed20086.6%4.1%10.5%31340
Unemployed20097.1%4.4%11.3%35349
Unemployed20104.0%1.9%8.1%15219
Unemployed20116.6%3.4%12.3%26448
Unemployed20126.1%4.0%9.4%56591
Unemployed20137.7%5.3%11.2%64620
Unemployed20148.5%5.8%12.4%48477
Unemployed20158.6%5.1%14.1%39481
Unemployed201610.9%7.0%16.4%57414
Unemployed201711.1%6.7%17.8%41380
Not In Work Force20088.0%6.0%10.7%911,090
Not In Work Force20097.5%5.6%10.1%1161,147
Not In Work Force20107.7%5.5%10.7%71770
Not In Work Force20118.4%6.7%10.5%1391,561
Not In Work Force20127.5%5.6%9.8%1821,254
Not In Work Force20139.8%8.1%11.8%2842,509
Not In Work Force201410.4%8.8%12.3%3172,638
Not In Work Force20159.2%7.4%11.5%2432,362
Not In Work Force201612.7%10.5%15.4%3142,321
Not In Work Force201711.7%9.7%14.1%2752,099
Unable to Work200814.2%7.6%25.0%23213
Unable to Work20099.8%5.7%16.1%21201
Unable to Work201011.9%5.4%24.3%16155
Unable to Work20118.9%5.4%14.6%32307
Unable to Work20127.1%4.2%11.8%38418
Unable to Work20138.4%4.7%14.4%52441
Unable to Work201414.2%9.9%20.0%63442
Unable to Work201513.0%8.5%19.3%45384
Unable to Work201615.0%9.1%23.7%45371
Unable to Work201713.6%8.4%21.2%51367

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Employment status is assessed by the question: "Are you currently ...?" with responses of "Employed for wages", "Self-employed", "Out of work for 1 year or more", "Out of work for less than 1 year", "A Homemaker", "A Student", "Retired", "Unable to work" or "Refused". Refusals are excluded.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by income, all Alaskans, 2008-2017

::chart - missing::
confidence limits

HA: Income: LT $15k, $15k-$25k, $25k-$50k, $50-$75k, $75k+YearPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 50
<$15,00020085.8%3.6%9.2%29380
<$15,000200910.3%5.9%17.5%36352
<$15,00020105.5%2.6%11.3%19213
<$15,00020114.9%2.6%8.9%27444
<$15,00020129.3%5.9%14.4%52651
<$15,00020133.9%2.7%5.5%65707
<$15,00020149.3%6.6%12.9%70627
<$15,000201510.2%6.4%15.8%52559
<$15,00020169.5%5.7%15.5%60496
<$15,000201711.4%7.2%17.6%57519
$15,000 - $24,99920087.9%4.9%12.6%47520
$15,000 - $24,99920099.5%6.4%13.8%65483
$15,000 - $24,999201011.7%7.3%18.4%37300
$15,000 - $24,99920118.0%5.4%11.8%58643
$15,000 - $24,99920128.2%5.7%11.7%89961
$15,000 - $24,99920139.8%7.2%13.2%1161,014
$15,000 - $24,99920148.7%6.3%11.9%93936
$15,000 - $24,99920157.8%5.2%11.5%78862
$15,000 - $24,999201615.0%10.8%20.3%96734
$15,000 - $24,999201710.0%7.2%13.8%97785
$25,000 - $49,99920089.8%7.1%13.5%881,080
$25,000 - $49,99920097.4%5.0%10.7%79982
$25,000 - $49,99920105.8%3.5%9.4%42610
$25,000 - $49,99920117.3%5.3%10.0%951,137
$25,000 - $49,99920126.6%5.0%8.6%1371,591
$25,000 - $49,99920139.7%7.7%12.1%1871,727
$25,000 - $49,99920149.6%7.5%12.1%1941,641
$25,000 - $49,99920158.1%5.9%11.0%1381,420
$25,000 - $49,999201613.8%10.6%17.9%1851,312
$25,000 - $49,999201710.9%8.2%14.4%1531,223
$50,000 - $74,99920085.7%3.9%8.5%56855
$50,000 - $74,99920095.7%4.1%7.9%67810
$50,000 - $74,99920107.9%4.9%12.6%49539
$50,000 - $74,99920117.8%5.9%10.3%88966
$50,000 - $74,99920124.9%3.4%7.2%1111,294
$50,000 - $74,99920138.4%6.4%10.8%1391,507
$50,000 - $74,99920148.2%6.4%10.3%1451,376
$50,000 - $74,99920157.7%6.0%10.0%1311,221
$50,000 - $74,999201612.2%9.3%15.9%1361,094
$50,000 - $74,999201711.6%8.6%15.6%1241,023
$75,000+20087.9%6.2%10.0%1201,528
$75,000+20099.1%7.3%11.4%1401,552
$75,000+20105.9%4.3%8.0%741,080
$75,000+20115.3%4.2%6.6%1262,004
$75,000+20127.7%5.9%9.9%2032,614
$75,000+20138.2%6.7%8.1%2753,254
$75,000+20148.5%7.2%9.9%3123,391
$75,000+20158.3%6.8%10.1%2513,035
$75,000+20169.8%8.3%11.6%3352,821
$75,000+201710.2%8.6%12.1%2932,637

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Income is measure by the question: "Is your annual household income from all sources ---" with categories of "Less than $10,000", "Less than $15,000", "less than $20,000", "less than $25,000", "less than $35,000", "less than $50,000", "less than $75,000", "$75,000 or more", and "Don't know / Not sure" or "Refused". Responses of "Don't know / Not sure" or "Refused" are excluded.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by poverty threshold, all Alaskans, 2008-2017

::chart - missing::
confidence limits

Poverty thresholds are intended for use as a statistical yardstick, not as a complete description of what people and families need to live. Poverty thresholds are the dollar amounts assigned by the U.S. Census Bureau to determine poverty status. Poverty thresholds are assigned based upon the size of the family and the ages of the members (i.e., adults versus children). The same thresholds are used throughout the United States. Poverty thresholds were originally derived in the 1963-1964 using U.S. Department of Agriculture food budgets designed for families under economic stress and data about what proportion of their income families spent on food. The thresholds are updated annually for inflation using the Consumer Price Index for All Urban Consumers (CPI-U). How the Census Bureau Measures Poverty - U.S. Census Bureau [https://www.census.gov/hhes/www/poverty/about/overview/measure.html]
HA: Poverty ThresholdYearPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 30
Poor20086.0%3.0%11.7%19350
Poor20098.4%5.2%13.2%35319
Poor20104.6%2.1%9.8%15184
Poor20115.9%3.6%9.4%29402
Poor20129.5%6.1%14.5%54657
Poor20133.5%2.3%5.3%53644
Poor20148.4%5.8%12.1%60573
Poor20156.7%4.1%10.9%37444
Poor201610.0%6.2%15.7%45352
Poor20179.6%6.3%14.4%47448
Near Poor200810.9%7.4%15.8%73703
Near Poor20099.7%6.4%14.3%70605
Near Poor201010.2%6.6%15.3%48420
Near Poor20116.8%4.9%9.5%63731
Near Poor20127.0%5.1%9.6%1141,166
Near Poor201311.4%8.7%14.7%1501,285
Near Poor201410.1%7.5%13.3%1121,089
Near Poor20157.5%5.1%10.9%69839
Near Poor201612.3%8.9%16.8%93687
Near Poor201711.2%7.9%15.8%1141,016
Middle/High20087.3%6.1%8.6%2483,310
Middle/High20097.9%6.6%9.4%2823,255
Middle/High20106.5%5.1%8.3%1582,138
Middle/High20117.2%6.1%8.4%2893,802
Middle/High20126.9%5.7%8.2%4245,287
Middle/High20138.4%7.3%9.6%5796,280
Middle/High20148.5%7.6%9.6%6416,308
Middle/High20158.7%7.5%10.0%4624,847
Middle/High201611.3%9.7%13.0%5634,507
Middle/High201711.0%9.6%12.5%5474,548

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Poverty thresholds computed using the BRFSS assume that householders are less than 65 years of age as the ages of the household heads are not recorded. The maximum of the income range provided for the household is used to evaluate the proportion of the poverty threshold. This is a conservative approach as there are no errors of misclassification into the lowest poverty group. The category of Poor represents less than 100% of the poverty threshold. Near Poor is 100% through 199% of the poverty threshold. Middle/High income families are 200% or higher of the poverty threshold. How the Census Bureau Measures Poverty - U.S. Census Bureau [https://www.census.gov/hhes/www/poverty/about/overview/measure.html]

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by body mass index, all Alaskans, 2015-2017 (3-year average)

::chart - missing::
confidence limits

Weight CategoryPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 3
Neither Overweight nor Obese5.7%4.8%6.7%4016,551
Overweight7.8%6.9%8.8%7407,588
Obese16.5%15.0%18.1%1,1046,495

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Body Mass Index (BMI) is computed based upon responses to the questions, "About how much do you weight without shoes?" and "About how tall are you without shoes?" Responses of "Don't know / Not sure" or "Refused" to either questions are excluded.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by disability, all Alaskans, 2015-2017 (3-year average)

::chart - missing::
confidence limits

Percentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 2
Disability Present14.4%11.7%17.7%2161,300
Disability Absent10.9%9.4%12.6%5064,360

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Disability is assessed using responses from 5 questions: 1) "Are you blind or do you have serious difficulty seeing, even when wearing glasses?"; 2) Because of physical, mental, or emotional condition, do you have serious difficulty concentrating, remembering, or making decisions?"; 3) "Do you have a serious difficulty walking or climbing stairs?"; 4) "Do you have difficulty dressing or bathing?"; and 5) "Because of a physical, mental, or emotional condition, do you have difficulty doing errands alone such as visiting a doctor's office or shopping?" A "Yes" response to one or more of the questions when all questions have valid answers is used to classify the respondent as having a disability. Responses of "No" to all 5 questions denotes the absence of a disability. Responses of "Don't know / Not sure" or "Refused" to one or more questions result in the survey being excluded from analysis on disability status.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by ACEs score, all Alaskans, 2013-2015 (3-year average)

::chart - missing::
confidence limits

Percentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 4
08.5%7.3%9.9%3543,965
17.1%5.6%8.9%1962,368
2-39.1%7.7%10.9%2952,593
4+12.5%10.5%14.9%2591,889

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   The presence of one or more Adverse Childhood Experiences (ACEs) is assessed using either the 10 domains that are grouped into: [[br]] '''Abuse:'''[[br]] 1) Verbal Abuse[[br]] 2) Physical Abuse[[br]] 3) Sexual Abuse][[br]] '''Dysfunctional Households:'''[[br]] 4) Substance Abuse[[br]] 5) Mental Illness[[br]] 6) Domestic Violence[[br]] 7) Separation/Divorce[[br]] 8) Incarceration among household members[[br]] '''Neglect:'''[[br]] 9) Emotional Neglect[[br]] 10) Physical Neglect[[br]] The presence of an Adverse Childhood Experience have grouped into scores of 0 (no exposure), 1 (single exposure to an ACE), 2-3 (exposure to 2 or 3 ACEs), and 4+ (exposure to 4 or more different ACEs) The questions associated with each type of ACEs is described in the [http://ibis.dhss.alaska.gov/indicator/index/Alphabetical.html respective reports]. A summary ACEs score is computed for those with valid responses to all domains. Respondents with refusals to one or more of the ACEs questions are excluded.

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by Alaska Public Health Regions, all Alaskans and Alaska Natives, 2017

::chart - missing::
confidence limits

Alaska ComparisonsPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 14
All AlaskansAnchorage10.3%8.2%13.0%1331,176
All AlaskansGulf Coast8.8%6.5%11.7%93969
All AlaskansInterior10.3%8.2%12.9%1951,677
All AlaskansMat-Su9.9%8.0%12.3%1371,109
All AlaskansNorthern11.2%6.0%19.8%45306
All AlaskansSoutheast11.4%9.1%14.1%1271,054
All AlaskansSouthwest18.7%12.2%27.5%85619
Alaska Native peopleAnchorage6.9%3.2%14.3%10114
Alaska Native peopleGulf Coast5.0%2.1%11.7%889
Alaska Native peopleInterior17.0%11.0%25.4%48285
Alaska Native peopleMat-Su20.3%12.0%32.4%22104
Alaska Native peopleNorthern13.8%7.0%25.4%30182
Alaska Native peopleSoutheast16.9%10.7%25.8%26140
Alaska Native peopleSouthwest20.5%11.6%33.5%50320

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Geographic descriptions of the public health regions can be found at: [http://dhss.alaska.gov/dph/InfoCenter/Pages/ia/brfss/geo_phr.aspx].

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by metropolitan/micropolitan statistical areas, all Alaskans and Alaska Natives, 2015-2017 (3-year average)

::chart - missing::
confidence limits

Alaska ComparisonsPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 10
All AlaskansAnchorage MSA10.1%9.1%11.2%8017,251
All AlaskansFairbanks North Star MSA7.9%6.7%9.2%3343,447
All AlaskansJuneau MicroSA9.8%7.9%12.2%1501,408
All AlaskansKetchikan Gateway MicroSA11.5%8.9%14.8%94717
All AlaskansRural (non-Metro/MicroSA)10.1%9.1%11.1%1,0429,271
Alaska Native peopleAnchorage MSA13.6%10.1%17.9%96652
Alaska Native peopleFairbanks North Star MSA12.7%8.8%18.0%47333
Alaska Native peopleJuneau MicroSA11.2%6.8%18.0%21153
Alaska Native peopleKetchikan Gateway MicroSA12.4%6.9%21.2%17107
Alaska Native peopleRural (non-Metro/MicroSA)12.4%10.5%14.7%3932,781

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Geographic descriptions of the metropolitan and micropolitan statistical areas can be found at: [http://dhss.alaska.gov/dph/InfoCenter/Pages/ia/brfss/geo_mmsa.aspx].

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by behavioral health system assessment areas, all Alaskans and Alaska Natives, 2017

::chart - missing::
confidence limits

Alaska ComparisonsPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 22
All AlaskansAnchorage Muncipality10.3%8.2%13.0%1331,176
All AlaskansFairbanks North Star Borough10.0%7.7%12.9%1131,062
All AlaskansCity and Borough of Juneau11.5%8.2%15.9%53431
All AlaskansKenai Peninsula Borough9.9%7.0%13.9%67713
All AlaskansMatanuska-Susitna Borough9.9%8.0%12.3%1371,109
All AlaskansNorthwest Region11.2%6.0%19.8%45306
All AlaskansOther Interior Region11.5%7.8%16.5%92744
All AlaskansOther SE - Northern7.6%4.8%11.9%28334
All AlaskansOther SE - Southern15.2%10.3%21.9%46289
All AlaskansY-K Delta Region20.5%9.2%39.6%28234
All AlaskansSouthwest Region10.7%7.0%15.8%73512
Alaska Native peopleAnchorage Muncipality6.9%3.2%14.3%10114
Alaska Native peopleFairbanks North Star Borough15.3%8.3%26.4%1498
Alaska Native peopleCity and Borough of Juneau**46
Alaska Native peopleKenai Peninsula Borough**56
Alaska Native peopleMatanuska-Susitna Borough20.3%12.0%32.4%22104
Alaska Native peopleNorthwest Region13.8%7.0%25.4%30182
Alaska Native peopleOther Interior Region20.8%11.6%34.4%36202
Alaska Native peopleOther SE - Northern**48
Alaska Native peopleOther SE - Southern**46
Alaska Native peopleY-K Delta Region23.3%10.2%44.7%20156
Alaska Native peopleSouthwest Region12.8%6.1%24.6%32182

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Geographic descriptions of the behavioral health systems assessment reporting regions can be found at: [http://dhss.alaska.gov/dph/InfoCenter/Pages/ia/brfss/geo_bhs.aspx].

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by borough and census areas, all Alaskans and Alaska Natives, 2015-2017 (3-year average)

::chart - missing::
confidence limits

Alaska ComparisonsPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 58
All AlaskansAleutians East Borough12.7%6.7%22.6%22164
All AlaskansAleutians West CA8.1%4.7%13.7%48315
All AlaskansAnchorage Municipality10.4%9.1%11.8%4243,738
All AlaskansBethel CA10.2%7.1%14.6%77686
All AlaskansBristol Bay Borough9.4%4.8%17.9%18183
All AlaskansDenali Borough3.4%1.8%6.4%14216
All AlaskansDillingham CA13.1%7.4%22.3%56406
All AlaskansFairbanks North Star Borough7.9%6.7%9.2%3343,447
All AlaskansHaines Borough8.7%5.0%14.9%20195
All AlaskansHoonah-Angoon CA3.9%1.6%9.1%6110
All AlaskansJuneau City and Borough9.8%7.9%12.2%1501,408
All AlaskansKenai Peninsula Borough10.0%8.4%11.8%2542,371
All AlaskansKetchikan Gateway Borough11.5%8.9%14.8%94717
All AlaskansKodiak Island Borough7.1%4.8%10.3%48440
All AlaskansKusilvak CA16.8%8.1%31.7%25237
All AlaskansLake and Peninsula Borough15.5%5.9%34.9%24197
All AlaskansMatanuska-Susitna Borough9.2%8.0%10.5%3773,513
All AlaskansNome CA12.6%8.3%18.7%74456
All AlaskansNorth Slope Borough12.5%7.5%20.2%36269
All AlaskansNorthwest Arctic Borough10.3%6.2%16.6%35272
All AlaskansPetersburg Borough3.2%1.2%8.3%5169
All AlaskansPrince of Wales-Hyder CA13.4%8.2%21.3%23225
All AlaskansSitka City and Borough9.4%6.1%14.2%39381
All AlaskansSkagway Municipality**45
All AlaskansSoutheast Fairbanks CA9.1%6.4%12.6%84737
All AlaskansValdez-Cordova CA11.2%7.6%16.2%48448
All AlaskansWrangell City and Borough15.1%8.1%26.5%15126
All AlaskansYakutat City and Borough**36
All AlaskansYukon-Koyukuk CA9.6%6.3%14.6%65587
Alaska Native peopleAleutians East Borough14.8%6.3%31.1%1081
Alaska Native peopleAleutians West CA9.7%5.0%18.0%2291
Alaska Native peopleAnchorage Municipality13.2%9.1%18.7%48357
Alaska Native peopleBethel CA10.2%6.6%15.6%52403
Alaska Native peopleBristol Bay Borough**65
Alaska Native peopleDenali Borough**10
Alaska Native peopleDillingham CA14.9%7.3%28.0%35218
Alaska Native peopleFairbanks North Star Borough12.7%8.8%18.0%47333
Alaska Native peopleHaines Borough**28
Alaska Native peopleHoonah-Angoon CA**35
Alaska Native peopleJuneau City and Borough11.2%6.8%18.0%21153
Alaska Native peopleKenai Peninsula Borough9.8%5.9%15.8%29198
Alaska Native peopleKetchikan Gateway Borough12.4%6.9%21.2%17107
Alaska Native peopleKodiak Island Borough7.2%2.8%17.3%875
Alaska Native peopleKusilvak CA18.1%8.7%34.0%23208
Alaska Native peopleLake and Peninsula Borough10.5%6.0%17.9%15120
Alaska Native peopleMatanuska-Susitna Borough14.8%10.1%21.1%48295
Alaska Native peopleNome CA13.9%8.4%22.0%48261
Alaska Native peopleNorth Slope Borough15.8%8.5%27.5%22143
Alaska Native peopleNorthwest Arctic Borough12.7%7.4%20.9%28175
Alaska Native peoplePetersburg Borough**10
Alaska Native peoplePrince of Wales-Hyder CA17.4%7.7%34.6%859
Alaska Native peopleSitka City and Borough12.8%5.1%28.7%755
Alaska Native peopleSkagway Municipality**2
Alaska Native peopleSoutheast Fairbanks CA4.7%2.1%10.2%991
Alaska Native peopleValdez-Cordova CA15.0%5.0%37.6%553
Alaska Native peopleWrangell City and Borough**21
Alaska Native peopleYakutat City and Borough**12
Alaska Native peopleYukon-Koyukuk CA11.0%6.8%17.3%48367

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   ** = Data not available due to fewer than 50 respondents in the denominator. Geographic descriptions of boroughs and census areas can be found at: [http://dhss.alaska.gov/dph/InfoCenter/Pages/ia/brfss/geo_bca.aspx].

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion


Percentage of adults (18+) with prediabetes, crude rate, by tribal health organization regions, all Alaskans and Alaska Natives, 2013-2017 (5-year average)

::chart - missing::
confidence limits

Alaska ComparisonsPercentage of adultsLower LimitUpper LimitNumer- atorDenom- inator
Record Count: 24
All AlaskansAleutians and Pribilofs8.2%5.9%11.4%97773
All AlaskansAnchorage/Mat-Su9.2%8.5%10.0%1,43213,718
All AlaskansArctic Slope10.3%6.4%16.4%48388
All AlaskansBristol Bay9.8%6.9%13.7%1371,265
All AlaskansCopper R/Prince William Snd.11.0%8.3%14.5%88909
All AlaskansInterior7.7%6.9%8.6%8038,701
All AlaskansKenai Peninsula9.9%8.7%11.3%4724,392
All AlaskansKodiak Area9.2%6.5%12.8%89826
All AlaskansNorthwest Arctic10.0%6.9%14.1%63475
All AlaskansNorton Sound11.7%8.1%16.6%98761
All AlaskansSoutheast9.5%8.6%10.6%6626,249
All AlaskansYukon-Kuskokwim11.2%8.5%14.7%1741,629
Alaska Native peopleAleutians and Pribilofs10.8%7.0%16.2%47279
Alaska Native peopleAnchorage/Mat-Su11.8%9.4%14.6%1661,281
Alaska Native peopleArctic Slope11.0%6.0%19.4%25207
Alaska Native peopleBristol Bay10.6%6.7%16.5%73622
Alaska Native peopleCopper R/Prince William Snd.14.7%7.4%27.0%13115
Alaska Native peopleInterior12.9%10.3%16.0%1631,236
Alaska Native peopleKenai Peninsula12.0%7.9%17.7%56372
Alaska Native peopleKodiak Area8.3%4.1%16.1%15136
Alaska Native peopleNorthwest Arctic11.0%7.4%16.2%49309
Alaska Native peopleNorton Sound13.3%8.6%19.9%64446
Alaska Native peopleSoutheast13.9%11.4%16.8%153916
Alaska Native peopleYukon-Kuskokwim11.8%8.5%16.1%1261,095

Data Notes

Prevalence rates are exclusive of individuals with diagnosed diabetes. Prediabetes can include women who respond "Yes, during pregnancy" when asked about pre-diabetes or borderline diabetes.   Geographic descriptions of the tribal health organization regions can be found at: [http://dhss.alaska.gov/dph/InfoCenter/Pages/ia/brfss/geo_thr.aspx].

Data Source

Alaska Data: [http://dhss.alaska.gov/dph/Chronic/Pages/brfss/default.aspx Behavioral Risk Factor Surveillance System], Alaska Department of Health and Social Services, DPH, Section of Chronic Disease Prevention and Health Promotion

References and Community Resources

'''References:''' 1. Centers for Disease Control and Prevention. National Diabetes Statistics Report: Estimates of Diabetes and Its Burden in the United States, 2017. Atlanta, GA: U.S. Department of Health and Human Services; 2017.[https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf] 2. About Prediabetes & Type 2 Diabetes | Diabetes | NDPP. [http://www.cdc.gov/diabetes/prevention/prediabetes-type2/index.html]. Accessed September 11, 2017. 3. Tabak AG, Herder C, Rathmann W, Brunner EJ, Kivimaki M. Pre-diabetes: a high-risk state for diabetes development. Lancet. 2012;379(9833):2279-2290. doi:10.1016/S0140-6736(12)60283-9 4. Tuso P. Prediabetes and lifestyle modification: time to prevent a preventable disease. The Permanente Journal. 2014;18(3):88-93. doi:10.7812/TPP/14-002 5. Rich PA, Shaefer CF, Parkin CG, Edelman SV. Using a quantitative measure of diabetes risk in clinical practice to target and maximize diabetes prevention interventions. Clinical Diabetes. 2013;31(2):82-89. doi:10.2337/diaclin.31.2.82 6. American Diabetes Association. Diagnosing diabetes and learning about prediabetes. http://www.diabetes.org/diabetes-basics/diagnosis. Accessed September 11, 2017. 7. Knowler WC, Barrett-Conner E, Fowler SE, et. al. Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Eng J Med. 2002;346:393-403. doi: 10.1056/NEJMoa012512 8. Evergreen Economics. Memorandum: Medicaid claims before and after self-management training. May 30, 2014. 9. Centers for Disease Control and Prevention (CDC). National Diabetes Prevention Program. [http://www.cdc.gov/diabetes/prevention/prediabetes.htm]. Accessed September 12, 2017. 10. Knowler WC, Fowler SE, Hamman RF, Christophi CA, et al. Diabetes Prevention Program Research Group. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet. 2009;374(9702):1677-86. doi:10.1016/S0140-6736(09)61457-4 11. Wilson MG, DeJoy DM, Vandenberg R, Padilla H, Davis M. FUEL your life: a translation of the Diabetes Prevention Program to worksites. Am J Health Promot. 2016;30(3):188-97. doi:10.4278/ajhp.130411-QUAN-169 '''Resources:''' For questions about prediabetes and diabetes, please contact the State of Alaska, Diabetes Prevention and Control Program via e-mail at diabetes@alaska.gov or the Alaska Native Tribal Health Consortium (ANTHC) Diabetes Program at aka-diab@anthc.org.

More Resources and Links

Alaska and national goals may be found at the following sites:

Alaska health promotion resources may be found at the following site:

Evidence-based community health improvement ideas and interventions may be found at the following sites:

Maps of health indicators for various subdivisions of Alaska may be found at the following site:

Additional indicator data by state and county may be found on these Websites:

Medical literature can be queried at the PubMed website.

For an on-line medical dictionary, click on this Dictionary link.

AK-IBIS Web Citation

Use and reproduction of the information published on this website are encouraged and may be done without permission. The following citation should accompany information from this website whenever it is used, reproduced, or published:

AK-IBIS Indicator Citation:
"[Indicator name]. Retrieved on [insert date] from Alaska Department of Health and Social Services, Indicator-Based Information System for Public Health (AK-IBIS) website: http://ibis.dhss.alaska.gov/.

Example:
Diabetes Prevalence. Retrieved on March 25, 2016, from Alaska Department of Health and Social Services, Indicator-Based Information System for Public Health (AK-IBIS) website: http://ibis.dhss.alaska.gov/.

Page Content Updated On 09/20/2018, Published on 11/01/2018
The information provided above is from the Alaska Department of Health and Social Services' Center for Health Data and Statistics, Alaska Indicator-Based Information System for Public Health (Ak-IBIS) web site (http://ibis.dhss.alaska.gov). The information published on this website may be reproduced without permission. Please use the following citation: " Retrieved Sun, 21 April 2019 from Alaska Department of Health and Social Services, Center for Health Data and Statistics, Alaska Indicator-Based Information System for Public Health web site: http://ibis.dhss.alaska.gov ".

Content updated: Thu, 8 Nov 2018 09:41:30 AKST
The information provided above is from the Alaska Department of Health and Social Services' Center for Health Data and Statistics AK-IBIS web site (http://ibis.dhss.alaska.gov/). The information published on this website may be reproduced without permission. Please use the following citation: " Retrieved Sun, 21 April 2019 21:58:36 from Alaska Department of Health and Social Services, Center for Health Data and Statistics, Indicator-Based Information System for Public Health Web site: http://ibis.dhss.alaska.gov/ ".

Content updated: Thu, 8 Nov 2018 09:41:30 AKST