Literature DB >> 30468421

Prevalence of Type 1 Diabetes Among People Aged 19 and Younger in the United States.

Mary A M Rogers1,2, Benjamin S Rogers3, Tanima Basu2.   

Abstract

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Year:  2018        PMID: 30468421      PMCID: PMC6266542          DOI: 10.5888/pcd15.180323

Source DB:  PubMed          Journal:  Prev Chronic Dis        ISSN: 1545-1151            Impact factor:   2.830


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Prevalence rate per 10,000 person-years of type 1 diabetes among people aged 19 or younger with private health insurance, by state, 2001–2016. Rates were mapped by quantiles (frequency distribution with equal groups). Rates were highest in Vermont, Hawaii, Maine, Alaska, and Montana. The lowest rates were in California, the District of Columbia, Maryland, Texas, and Louisiana. Data source: Clinformatics Data Mart Database (OptumInsight), Eden Prairie, Minnesota.

Background

Large national surveys that use telephone or in-person interviews have been the source of population-based estimates of diabetes prevalence (1,2). Such surveys in the United States usually do not distinguish between types of diabetes; therefore, maps of type 1 diabetes have been difficult to generate. The advent of large, nationwide databases from health insurers has enabled researchers to investigate geographic variations in disease among the privately insured population. By using such a database, we designed an epidemiologic study to examine the prevalence of type 1 diabetes among people aged 19 or younger across all 50 states and Washington, DC.

Data Sources and Map Logistics

We used data from January 1, 2001, through June 30, 2016, from the Clinformatics Data Mart Database (OptumInsight). This nationwide database contains integrated longitudinal health information on 73 million Americans with private health insurance, including demographic data, membership information, prescription medications, and outpatient and inpatient services. We determined eligibility criteria for type 1 diabetes by using a validated procedure (3). First, data on people with a ratio of 0.6 or more type 1 diabetes diagnoses to type 2 diagnoses were extracted from inpatient and outpatient files. This algorithm had a positive predictive value of 98.7% for detecting type 1 diabetes (3). Second, people without any type 2 diabetes diagnosis and with only type 1 diagnoses were extracted; this algorithm had a positive predictive value of 99.3% for ascertaining type 1 diabetes (3). We had no sex or racial/ethnic restrictions. We included only people aged 19 or younger at the time of enrollment in a health insurance plan. Rates were calculated as the total number of diagnoses of type 1 diabetes in a state from 2001 through 2016 (numerator) divided by the person-years of the underlying insured members in each state during the same period (denominator). Prevalence rates were expressed as cases (both existing and incident) per 10,000 person-years. Because this database constitutes a sample of people with private health insurance in each of the 50 states and the District of Columbia, we estimated the number of people aged 19 or younger with type 1 diabetes in the reference population (privately insured) for each state in 2015 by using the state-specific prevalence rates and the number of people aged 19 or younger with private health insurance in each state (4). Analyses were conducted by using Stata/MP version 15.1 (StataCorp LLC) and mapped by using QGIS Geographic Information System, version 2.18 (QGIS.org).

Highlights

In our nationwide sample of people covered by private health insurance from 2001 through 2016, we identified 45,047 people aged 19 or younger who had type 1 diabetes. Vermont had the highest prevalence rate of type 1 diabetes (79.6/10,000 person-years) followed by Hawaii, Maine, Alaska, Montana, South Dakota, Wyoming, and New Hampshire (Table). The lowest prevalence rates of type 1 diabetes among people aged 19 or younger were in California, the District of Columbia, Maryland, Texas, and Louisiana. We found a 14.7-fold difference in prevalence rates across all 50 states (79.6/5.4). States with large populations had the greatest number of privately insured young people with type 1 diabetes, with Pennsylvania, Texas, New York, California, Michigan, Illinois, Florida, and Ohio ranking the highest (Table).
Table

Prevalence Rate and Number of People Aged 19 or Younger With Type 1 Diabetes, Ranked by State, United States 2001–2016

Prevalence Rate per 10,000 Person-Years, 2001–2016
Number, 2015a
RankStateRate (95% Confidence Interval)StateNumber
1Vermont79.6 (43.5–133.6)Pennsylvania3,540
2Hawaii41.5 (15.2–90.3)Texas3,480
3Maine40.0 (29.3–53.4)New York3,230
4Alaska27.5 (18.0–40.3)California3,030
5Montana26.8 (19.5–35.9)Michigan2,450
6South Dakota22.5 (16.7–29.8)Illinois2,360
7Wyoming20.7 (15.5–27.1)Florida2,250
8New Hampshire18.6 (15.4–22.3)Ohio2,230
9West Virginia18.2 (14.9–22.1)New Jersey1,770
10Pennsylvania17.8 (16.5–19.2)Indiana1,640
11Alabama16.4 (14.8–18.0)Massachusetts1,630
12Michigan15.7 (14.6–16.8)North Carolina1,570
13North Dakota15.3 (11.8–19.4)Georgia1,390
14Indiana14.9 (13.9–15.9)Virginia1,370
15Mississippi14.9 (13.2–16.6)Tennessee1,250
16Massachusetts14.8 (13.5–16.1)Washington1,220
17South Carolina14.7 (13.2–16.3)Wisconsin1,130
18Kentucky14.7 (13.5–15.9)Alabama1,110
19Idaho14.6 (12.4–17.1)Arizona1,080
20Nevada14.6 (12.9–16.4)Missouri1,060
21Iowa13.8 (12.5–15.3)Utah1,010
22Connecticut13.6 (12.3–15.0)Minnesota990
23Tennessee13.3 (12.4–14.2)South Caroline970
24Utah13.2 (12.3–14.1)Colorado960
25Arkansas12.7 (11.3–14.2)Kentucky930
26Kansas12.5 (11.4–13.7)Hawaii890
27Delaware12.4 (9.3–16.2)Maryland810
28Rhode Island12.2 (11.1–13.3)Connecticut790
29Ohio11.9 (11.5–12.3)Iowa780
30New Jersey11.8 (11.1–12.5)Maine730
31Illinois11.7 (11.1–12.3)Kansas660
32North Carolina11.7 (11.1–12.2)Vermont640
33New York11.3 (10.6–11.9)Nevada640
34Wisconsin11.3 (10.7–11.8)Louisiana590
35Washington11.2 (10.2–12.2)Oklahoma580
36Colorado11.1 (10.6–11.6)Oregon550
37Nebraska10.7 (9.8–11.7)Mississippi520
38Missouri10.7 (10.2–11.2)Arkansas460
39Arizona10.6 (10.0–11.1)Idaho430
40New Mexico10.5 (9.0–12.2)West Virginia420
41Oklahoma10.3 (9.5–11.2)Montana410
42Virginia10.0 (9.4–10.6)New Hampshire410
43Florida9.8 (9.5–10.1)Nebraska390
44Oregon9.7 (8.6–10.8)South Dakota330
45Minnesota9.7 (9.2–10.1)Alaska290
46Georgia9.5 (9.1–9.9)New Mexico250
47Louisiana9.4 (8.7–10.2)North Dakota220
48Texas8.5 (8.3–8.7)Wyoming220
49Maryland8.4 (7.9–8.9)Rhode Island190
50District of Columbia6.0 (4.4–8.0)Delaware180
51California5.4 (5.2–5.6)District of Columbia<100

Estimated number of people aged 19 or younger with type 1 diabetes and private health insurance in 2015.

Estimated number of people aged 19 or younger with type 1 diabetes and private health insurance in 2015.

Action

Public health efforts to prevent disease and develop interventions often begin with an assessment of where the disease occurs. We conducted a large, nationwide assessment of the prevalence of type 1 diabetes among young people with private health insurance in the United States. We found considerable variation in the prevalence rate of type 1 diabetes across the 50 states, with a nearly 15-fold difference from the highest to lowest prevalence rates. Previously, data from the National Health and Nutrition Examination Survey were used to estimate the prevalence of type 1 diabetes, but with a sample of 123 people with the disorder aged younger than 30, precise state-specific rates could not be calculated (5). In the SEARCH for Diabetes in Youth study, data were collected from locations in only 5 states and from selected Native American sites, not for all 50 states (6). Although our study does include all 50 states, it is important to note that these data represent only children and adolescents with private health insurance. Additional data are needed to assess geographic variation among young people with public health insurance. Our results suggest that geographic variation in the prevalence rate of type 1 diabetes among young people is different from that of type 2 diabetes (2). Although genetic predisposition plays a role in both types, precipitating factors vary, with autoimmune-related factors being closely associated with type 1 diabetes and lifestyle factors associated with type 2 diabetes (2). The availability of health services, however, is critical for people with either type to prevent long-term complications. The Patient Protection and Affordable Care Act included provisions to enable people with pre-existing conditions to secure health insurance, which has important implications for those with diabetes (7). The most frequent barriers to health care among young people with type 1 diabetes are cost, communication problems, and obtaining needed information (8). Insurance alone does not eliminate all such barriers but should curtail some, such as cost, although interruptions in insurance remain a concern (9). The frequency of such interruptions varies by state and is associated with 5-fold increases in emergency department visits and hospitalizations (9). The variation in state-specific prevalence rates of type 1 diabetes is mirrored by state-level variability in services. Not all states mandate that insurers cover diabetes treatment and supplies (10). Alabama, Idaho, North Dakota, and Ohio do not have such mandates. Missouri also does not have a mandate across all insurance policies but requires that insurers offer at least one policy that covers treatment of diabetes (10). Laws relevant to emergency access to insulin also differ; 10 states now allow pharmacists to dispense insulin with an expired prescription in emergency situations. Therefore, one actionable consequence of our study would be to improve state laws and consider federal legislation so that patients with type 1 diabetes are provided the services necessary for optimal health — regardless of the state in which they live.
Rate Per Person-YearStates
<10.0California, District of Columbia, Maryland, Texas, Louisiana, Georgia, Minnesota, Oregon, Florida
10.0–11.2Virginia, Oklahoma, New Mexico, Arizona, Missouri, Nebraska, Colorado, Washington
11.3–12.5Wisconsin, New York, North Carolina, Illinois, New Jersey, Ohio, Rhode Island, Delaware, Kansas
12.6–14.7Arkansas, Utah, Tennessee, Connecticut, Iowa, Nevada, Idaho, Kentucky, South Carolina
14.8–18.0Massachusetts, Mississippi, Indiana, North Dakota, Michigan, Alabama, Pennsylvania
>18.0West Virginia, New Hampshire, Wyoming, South Dakota, Montana, Alaska, Maine, Hawaii, Vermont
  7 in total

Review 1.  United States Health Care Reform: Progress to Date and Next Steps.

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Journal:  JAMA       Date:  2016-08-02       Impact factor: 56.272

2.  Interruptions In Private Health Insurance And Outcomes In Adults With Type 1 Diabetes: A Longitudinal Study.

Authors:  Mary A M Rogers; Joyce M Lee; Renuka Tipirneni; Tanima Banerjee; Catherine Kim
Journal:  Health Aff (Millwood)       Date:  2018-07       Impact factor: 6.301

3.  The prevalence of type 1 diabetes in the United States.

Authors:  Andy Menke; Trevor J Orchard; Giuseppina Imperatore; Kai McKeever Bullard; Elizabeth Mayer-Davis; Catherine C Cowie
Journal:  Epidemiology       Date:  2013-09       Impact factor: 4.822

4.  Prevalence of and disparities in barriers to care experienced by youth with type 1 diabetes.

Authors:  Jessica M Valenzuela; Michael Seid; Beth Waitzfelder; Andrea M Anderson; Daniel P Beavers; Dana M Dabelea; Lawrence M Dolan; Giuseppina Imperatore; Santica Marcovina; Kristi Reynolds; Joyce Yi-Frazier; Elizabeth J Mayer-Davis
Journal:  J Pediatr       Date:  2014-02-25       Impact factor: 4.406

5.  Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study.

Authors:  Victor W Zhong; Emily R Pfaff; Daniel P Beavers; Joan Thomas; Lindsay M Jaacks; Deborah A Bowlby; Timothy S Carey; Jean M Lawrence; Dana Dabelea; Richard F Hamman; Catherine Pihoker; Sharon H Saydah; Elizabeth J Mayer-Davis
Journal:  Pediatr Diabetes       Date:  2014-06-09       Impact factor: 4.866

6.  Lifetime risk for diabetes mellitus in the United States.

Authors:  K M Venkat Narayan; James P Boyle; Theodore J Thompson; Stephen W Sorensen; David F Williamson
Journal:  JAMA       Date:  2003-10-08       Impact factor: 56.272

7.  Prevalence of type 1 and type 2 diabetes among children and adolescents from 2001 to 2009.

Authors:  Dana Dabelea; Elizabeth J Mayer-Davis; Sharon Saydah; Giuseppina Imperatore; Barbara Linder; Jasmin Divers; Ronny Bell; Angela Badaru; Jennifer W Talton; Tessa Crume; Angela D Liese; Anwar T Merchant; Jean M Lawrence; Kristi Reynolds; Lawrence Dolan; Lenna L Liu; Richard F Hamman
Journal:  JAMA       Date:  2014-05-07       Impact factor: 56.272

  7 in total

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