Trends in prevalence of cardiovascular risk factors from 2002 to 2012 among youth early in the course of type 1 and type 2 diabetes. The SEARCH for Diabetes in Youth Study.

BACKGROUND: Given diabetes is an important risk factor for cardiovascular disease (CVD), we examined temporal trends in CVD risk factors by comparing youth recently diagnosed with type 1 diabetes (T1D) and type 2 diabetes (T2D) from 2002 through 2012. METHODS: The SEARCH for Diabetes in Youth Study identified youth with diagnosed T1D (n = 3954) and T2D (n = 706) from 2002 to 2012. CVD risk factors were defined using the modified Adult Treatment Panel III criteria for metabolic syndrome: (a) hypertension; (b) high-density lipoprotein cholesterol ≤40 mg/dL; (c) triglycerides ≥110 mg/dL; and (d) waist circumference (WC) >90th percentile. Prevalence of CVD risk factors, stratified by diagnosis year and diabetes type, was reported. Univariate and multivariate logistic models and Poisson regression were fit to estimate the prevalence trends for CVD risk factors individually and in clusters (≥2 risk factors). RESULTS: The prevalence of ≥2 CVD risk factors was higher in youth with T2D than with T1D at each incident year, but the prevalence of ≥2 risk factors did not change across diagnosis years among T1D or T2D participants. The number of CVD risk factors did not change significantly in T1D participants, but increased at an annual rate of 1.38% in T2D participants. The prevalence of hypertension decreased in T1D participants, and high WC increased in T2D participants. CONCLUSION: The increase in number of CVD risk factors including large WC among youth with T2D suggests a need for early intervention to address these CVD risk factors. Further study is needed to examine longitudinal associations between diabetes and CVD.

Alternative waist-to-height ratios associated with risk biomarkers in youth with diabetes: comparative models in the SEARCH for Diabetes in Youth Study.

BACKGROUND/OBJECTIVES: The waist-to-height ratio (WHtR) estimates cardiometabolic risk in youth without need for growth charts by sex and age. Questions remain about whether waist circumference measured per protocol of the National Health and Nutrition Examination Survey (WNHAHtR) or World Health Organization (WWHOHtR) can better predict blood pressures and lipid parameters in youth. PARTICIPANTS/METHODS: WHtR was measured under both anthropometric protocols among participants in the SEARCH Study, who were recently diagnosed with diabetes (ages 5-19 years; N = 2 773). Biomarkers were documented concurrently with baseline anthropometry and again ~7 years later (ages 10-30 years; N = 1 712). For prediction of continuous biomarker outcomes, baseline WNHAHtR or WWHOHtR entered semiparametric regression models employing restricted cubic splines. To predict binary biomarkers (high-risk group defined as the most adverse quartile) linear WNHAHtR or WWHOHtR terms entered logistic models. Model covariates included demographic characteristics, pertinent medication use, and (for prospective predictions) the follow-up time since baseline. We used measures of model fit, including the adjusted-R2 and the area under the receiver operator curves (AUC) to compare WNHAHtR and WWHOHtR. RESULTS: For the concurrent biomarkers, the proportion of variation in each outcome explained by full regression models ranged from 23 to 46%; for the prospective biomarkers, the proportions varied from 11 to 30%. Nonlinear relationships were recognized with the lipid outcomes, both at baseline and at follow-up. In full logistic models, the AUCs ranged from 0.75 (diastolic pressure) to 0.85 (systolic pressure) at baseline, and from 0.69 (triglycerides) to 0.78 (systolic pressure) at the prospective follow-up. To predict baseline elevations of the triglycerides/HDL cholesterol ratio, the AUC was 0.816 for WWHOHtR compared with 0.810 for WNHAHtR (p = 0.003), but otherwise comparisons between alternative WHtR protocols were not significantly different. CONCLUSIONS: Among youth with recently diagnosed diabetes, measurements of WHtR by either waist circumference protocol similarly helped estimate current and prospective cardiometabolic risk biomarkers.

Food insecurity is associated with high risk glycemic control and higher health care utilization among youth and young adults with type 1 diabetes.

AIMS: Household food insecurity (FI), i.e., limited availability of nutritionally adequate foods, is associated with poor glycemic control among adults with type 2 diabetes. We evaluated the association of FI among youth and young adults (YYA) with type 1 diabetes to inform recent clinical recommendations from the American Diabetes Association for providers to screen all patients with diabetes for FI. METHODS: Using data from the Washington and South Carolina SEARCH for Diabetes in Youth Study sites, we conducted an observational, cross-sectional evaluation of associations between FI and glycemic control, hospitalizations, and emergency department (ED) visits among YYA with type 1 diabetes. FI was assessed using the Household Food Security Survey Module, which queries conditions and behaviors typical of households unable to meet basic food needs. Participants' HbA1c were measured from blood drawn at the research visit; socio-demographics and medical history were collected by survey. RESULTS: The prevalence of FI was 19.5%. In adjusted logistic regression analysis, YYAs from food-insecure households had 2.37 higher odds (95% CI: 1.10, 5.09) of high risk glycemic control, i.e., HbA1c >9.0%, vs. peers from food-secure households. In adjusted binomial regression analysis for ED visits, YYAs from food-insecure households had an adjusted prevalence rate that was 2.95 times (95% CI [1.17, 7.45]) as great as those from food secure households. CONCLUSIONS: FI was associated with high risk glycemic control and more ED visits. Targeted efforts should be developed and tested to alleviate FI among YYA with type 1 diabetes.

Neighborhood characteristics, food deserts, rurality, and type 2 diabetes in youth: Findings from a case-control study.

Little is known about the influence of neighborhood characteristics on risk of type 2 diabetes (T2D) among youth. We used data from the SEARCH for Diabetes in Youth Case-Control Study to evaluate the association of neighborhood characteristics, including food desert status of the census tract, with T2D in youth. We found a larger proportion of T2D cases in tracts with lower population density, larger minority population, and lower levels of education, household income, housing value, and proportion of the population in a managerial position. However, most associations of T2D with neighborhood socioeconomic characteristics were attributable to differences in individual characteristics. Notably, in multivariate logistic regression models, T2D was associated with living in the least densely populated study areas, and this finding requires further exploration.

Establishment of the Pediatric Obesity Weight Evaluation Registry: A National Research Collaborative for Identifying the Optimal Assessment and Treatment of Pediatric Obesity.

BACKGROUND: Prospective patient registries have been successfully utilized in several disease states with a goal of improving treatment approaches through multi-institutional collaboration. The prevalence of youth with severe obesity is at a historic high in the United States, yet evidence to guide effective weight management is limited. The Pediatric Obesity Weight Evaluation Registry (POWER) was established in 2013 to identify and promote effective intervention strategies for pediatric obesity. METHODS: Sites in POWER provide multicomponent pediatric weight management (PWM) care for youth with obesity and collect a defined set of demographic and clinical parameters, which they regularly submit to the POWER Data Coordinating Center. A program profile survey was completed by sites to describe characteristics of the respective PWM programs. RESULTS: From January 2014 through December 2015, 26 US sites were enrolled in POWER and had submitted data on 3643 youth with obesity. Ninety-five percent were 6-18 years of age, 54% female, 32% nonwhite, 32% Hispanic, and 59% publicly insured. Over two-thirds had severe obesity. All sites included a medical provider and used weight status in their referral criteria. Other program characteristics varied widely between sites. CONCLUSION: POWER is an established national registry representing a diverse sample of youth with obesity participating in multicomponent PWM programs across the United States. Using high-quality data collection and a collaborative research infrastructure, POWER aims to contribute to the development of evidence-based guidelines for multicomponent PWM programs.

Can preeclampsia be considered a renal compartment syndrome? A hypothesis and analysis of the literature.

The morbidity and mortality associated with preeclampsia is staggering. The physiology of the Page kidney, a condition in which increased intrarenal pressure causes hypertension, appears to provide a unifying framework to explain the complex pathophysiology. Page kidney hypertension is renin-mediated acutely and ischemia-mediated chronically. Renal venous outflow obstruction also causes a Page kidney phenomenon, providing a hypothesis for the increased vulnerability of a subset of women who have what we are hypothesizing is a "renal compartment syndrome" due to inadequate ipsilateral collateral renal venous circulation consistent with well-known variation in normal venous anatomy. Dynamic changes in renal venous anatomy and physiology in pregnancy appear to correlate with disease onset, severity, and recurrence. Since maternal recumbent position is well known to affect renal perfusion and since chronic outflow obstruction makes women vulnerable to the ischemic/inflammatory sequelae, heightened awareness of renal compartment syndrome physiology is critical. The anatomic and physiologic insights provide immediate strategies to predict and prevent preeclampsia with straightforward, low-cost interventions that make renewed global advocacy for pregnant women a realistic goal.

Comparing Two Waist-to-Height Ratio Measurements with Cardiometabolic Risk Factors among Youth with Diabetes.

BACKGROUND: Waist circumference (WC) is commonly measured by either the World Health Organization (WHO) or National Health and Nutrition Examination Survey (NHANES) protocol. OBJECTIVE: Compare the associations of WHO vs. NHANES WC-to-height ratio (WHtR) protocols with cardiometabolic risk factors (CMRFs) in a sample of youth with diabetes. METHODS: For youth (10-19 years old with type 1 [N=3082] or type 2 [N=533] diabetes) in the SEARCH for Diabetes in Youth Study, measurements were obtained of WC (by two protocols), weight, height, fasting lipids (total cholesterol, triglycerides, HDL cholesterol, Non-HDL cholesterol) and blood pressures. Associations of CMRFs with WHO and NHANES WHtR were modeled stratified by body mass index (BMI) percentiles for age/sex: lower BMI (<85th BMI percentile; N=2071) vs. higher BMI (≥85th percentile; N=1594). RESULTS: Among lower-BMI participants, both NHANES and WHO WHtR were associated (p<0.005) with all CMRFs except blood pressure. Among higher-BMI participants, both NHANES and WHO WHtR were associated (p<0.05) with all CMRFs. WHO WHtR was more strongly associated (p<0.05) than NHANES WHtR with triglycerides, non-HDL cholesterol, and systolic blood pressure in lower-BMI participants. Among high-BMI participants, WHO WHtR was more strongly associated (p<0.05) than NHANES WHtR with triglycerides and systolic blood pressure. CONCLUSION: Among youth with diabetes, WHtR calculated from either WC protocol captures cardiometabolic risk. The WHO WC protocol may be preferable to NHANES WC.

Everyone Swims: a community partnership and policy approach to address health disparities in drowning and obesity.

Well-known disparities exist in rates of obesity and drowning, two public health priorities. Addressing these disparities by increasing access to safe swimming and water recreation may yield benefits for both obesity and injury prevention. Everyone Swims, a community partnership, brought community health clinics and water recreation organizations together to improve policies and systems that facilitated learning to swim and access to swimming and water recreation for low-income, diverse communities. Based in King County, Washington, Everyone Swims launched with Centers for Disease Control and Prevention grant funding from 2010 to 2012. This partnership led to multiple improvements in policies and systems: higher numbers of clinics screening for swimming ability, referrals from clinics to pools, more scholarship accessibility, and expansion of special swim programs. In building partnerships between community health/public health and community recreation organizations to develop systems that address user needs in low-income and culturally diverse communities, Everyone Swims represents a promising model of a structured partnership for systems and policy change to promote health and physical activity.

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

IMPORTANCE: Despite concern about an "epidemic," there are limited data on trends in prevalence of either type 1 or type 2 diabetes across US race and ethnic groups. OBJECTIVE: To estimate changes in the prevalence of type 1 and type 2 diabetes in US youth, by sex, age, and race/ethnicity between 2001 and 2009. DESIGN, SETTING, AND PARTICIPANTS: Case patients were ascertained in 4 geographic areas and 1 managed health care plan. The study population was determined by the 2001 and 2009 bridged-race intercensal population estimates for geographic sites and membership counts for the health plan. MAIN OUTCOMES AND MEASURES: Prevalence (per 1000) of physician-diagnosed type 1 diabetes in youth aged 0 through 19 years and type 2 diabetes in youth aged 10 through 19 years. RESULTS: In 2001, 4958 of 3.3 million youth were diagnosed with type 1 diabetes for a prevalence of 1.48 per 1000 (95% CI, 1.44-1.52). In 2009, 6666 of 3.4 million youth were diagnosed with type 1 diabetes for a prevalence of 1.93 per 1000 (95% CI, 1.88-1.97). In 2009, the highest prevalence of type 1 diabetes was 2.55 per 1000 among white youth (95% CI, 2.48-2.62) and the lowest was 0.35 per 1000 in American Indian youth (95% CI, 0.26-0.47) and type 1 diabetes increased between 2001 and 2009 in all sex, age, and race/ethnic subgroups except for those with the lowest prevalence (age 0-4 years and American Indians). Adjusted for completeness of ascertainment, there was a 21.1% (95% CI, 15.6%-27.0%) increase in type 1 diabetes over 8 years. In 2001, 588 of 1.7 million youth were diagnosed with type 2 diabetes for a prevalence of 0.34 per 1000 (95% CI, 0.31-0.37). In 2009, 819 of 1.8 million were diagnosed with type 2 diabetes for a prevalence of 0.46 per 1000 (95% CI, 0.43-0.49). In 2009, the prevalence of type 2 diabetes was 1.20 per 1000 among American Indian youth (95% CI, 0.96-1.51); 1.06 per 1000 among black youth (95% CI, 0.93-1.22); 0.79 per 1000 among Hispanic youth (95% CI, 0.70-0.88); and 0.17 per 1000 among white youth (95% CI, 0.15-0.20). Significant increases occurred between 2001 and 2009 in both sexes, all age-groups, and in white, Hispanic, and black youth, with no significant changes for Asian Pacific Islanders and American Indians. Adjusted for completeness of ascertainment, there was a 30.5% (95% CI, 17.3%-45.1%) overall increase in type 2 diabetes. CONCLUSIONS AND RELEVANCE: Between 2001 and 2009 in 5 areas of the United States, the prevalence of both type 1 and type 2 diabetes among children and adolescents increased. Further studies are required to determine the causes of these increases.

Partnering for success and sustainability in community-based child obesity intervention: seeking to help families ACT!

Sustaining community-based obesity interventions for families represents an ongoing challenge. Many initially grant-funded initiatives lack a sustainable model to continue. After initial grant funding ended, we continued a partnership between Seattle Children's Hospital and YMCA of Greater Seattle to enhance and expand a community-based family obesity program, "ACT! Actively Changing Together." We used principles of continuous process improvement, community-based participatory research, and the RE-AIM framework to successfully transition from a grant-funded to a community-supported program. Our pilot evaluation demonstrated promising results in parent behaviors, youth quality of life, ongoing family participation at the Y, and youth body mass index.

Understanding family motivations and barriers to participation in community-based programs for overweight youth: one program model does not fit all.

CONTEXT: Successful obesity intervention efforts depend on effective recruitment and retention, an ongoing challenge for community-based programs. OBJECTIVE: We sought to provide insights into the most salient factors affecting family enrollment and retention in community-based programs for overweight youth and their families. We especially sought to understand potentially modifiable program factors affecting participation. DESIGN: : We conducted semistructured, in-depth, face-to-face interviews with parents of overweight children within 1 year of referral to a public health grant-funded community-based healthy lifestyle promotion program. Purposeful sampling was used to select participants across program sites, by level of program completion, and child age and sex. Transcribed interviews were coded independently by 2 staff with a structured codebook and then analyzed by themes through an iterative process using Atlas.ti. The Integrative Model of Behavior served as an orienting theoretical framework. SETTING: Community-based child obesity intervention program in King County, Washington. PARTICIPANTS: Twenty-three parents from diverse socioeconomic backgrounds were interviewed, of which 10 completed the program, 9 did not complete, and 4 did not enroll. MAIN OUTCOME MEASURE(S): Parent-reported factors related to enrollment and retention. RESULTS: Key parent reasons for program enrollment included: (a) addressing both eating and activity, (b) concern about child's weight, (c) seeking help outside the family, and (d) structured parent-child time. Parents perceived a lack of child motivation to enroll; some youth initially opposed attending, which was overcome through positive program experience. All families described barriers to attending, and some identified specific strategies or skills they used to overcome barriers. No single program design emerged to address every family's needs. Instead, using the themes of accessibility and accountability, we present parent- recommended design options. CONCLUSIONS: To meet different families' needs, public health and health care agencies offering youth health promotion programs should consider providing program options that vary intensity level and weight loss emphasis.

Projections of type 1 and type 2 diabetes burden in the U.S. population aged <20 years through 2050: dynamic modeling of incidence, mortality, and population growth.

OBJECTIVE: To forecast the number of U.S. individuals aged <20 years with type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) through 2050, accounting for changing demography and diabetes incidence. RESEARCH DESIGN AND METHODS: We used Markov modeling framework to generate yearly forecasts of the number of individuals in each of three states (diabetes, no diabetes, and death). We used 2001 prevalence and 2002 incidence of T1DM and T2DM from the SEARCH for Diabetes in Youth study and U.S. Census Bureau population demographic projections. Two scenarios were considered for T1DM and T2DM incidence: 1) constant incidence over time; 2) for T1DM yearly percentage increases of 3.5, 2.2, 1.8, and 2.1% by age-groups 0-4 years, 5-9 years, 10-14 years, and 15-19 years, respectively, and for T2DM a yearly 2.3% increase across all ages. RESULTS: Under scenario 1, the projected number of youth with T1DM rises from 166,018 to 203,382 and with T2DM from 20,203 to 30,111, respectively, in 2010 and 2050. Under scenario 2, the number of youth with T1DM nearly triples from 179,388 in 2010 to 587,488 in 2050 (prevalence 2.13/1,000 and 5.20/1,000 [+144% increase]), with the greatest increase in youth of minority racial/ethnic groups. The number of youth with T2DM almost quadruples from 22,820 in 2010 to 84,131 in 2050; prevalence increases from 0.27/1,000 to 0.75/1,000 (+178% increase). CONCLUSIONS: A linear increase in diabetes incidence could result in a substantial increase in the number of youth with T1DM and T2DM over the next 40 years, especially those of minority race/ethnicity.

Obesity in pediatric specialty clinics: an underestimated comorbidity.

OBJECTIVES: (a) To examine the prevalence of obesity across 31 subspecialties in a tertiary care children's hospital and (b) to examine the percentage of obesity-specified diagnosis codes used for obese patient visits. METHODS: We analyzed 48 479 youth aged 2 to 18 years in 31 outpatient subspecialty clinics at Seattle Children's Hospital between 2005 and 2007. Body mass index (BMI) percentiles were determined by age- and gender-adjusted BMI calculated from height/weight obtained at clinic visits. For obese patients, the percentage of diagnoses coded as obesity-specific (278.11, 278.01, 272.02, 783.1) were determined by evaluation of standard diagnostic codes. RESULTS: Twenty-two of the 31 clinics had patient obesity rates greater than 15%. Analysis of International Classification of Diseases, 9th Revision, codes for obese patient visits as defined by BMI revealed only 2 clinics used obesity-specific codes for >5% of all diagnoses. CONCLUSIONS: Given the prevalence of obesity across all subspecialties, more recognition and resources are needed to screen, diagnosis, and provide coordinated services for healthy weight management.

Neighborhood context and incidence of type 1 diabetes: the SEARCH for Diabetes in Youth study.

Findings regarding type 1 diabetes mellitus (T1DM) and neighborhood-level characteristics are mixed, with few US studies examining the influence of race/ethnicity. We conducted an ecologic study using SEARCH for Diabetes in Youth Study data to explore the association of neighborhood characteristics and T1DM incidence. 2002-2003 incident cases among youth at four SEARCH centers were included. Residential addresses were geocoded to US Census Tract. Standardized incidence ratios tended to increase with increasing education and median household income. Results from Poisson regression mixed models were similar and stable across race/ethnic groups and population density. Our study suggests a relationship of T1DM incidence with neighborhood-level socioeconomic status, independent of individual-level race/ethnic differences.

Payment for obesity services: examples and recommendations for stage 3 comprehensive multidisciplinary intervention programs for children and adolescents.

OBJECTIVE: The Reimbursement and Payment Subcommittee of the National Association of Children's Hospitals and Related Institutions FOCUS on a Fitter Future group sought to guide medical providers, patients, and payers to better serve obese children and adolescents to enable optimum health. Recommendations are provided for the essential components of a stage 3 comprehensive multidisciplinary intervention program as defined by the 2007 Expert Committee recommendations. In addition, suggestions are offered for a stepwise approach to implement these recommendations. METHODS: In 2009, key informant interviews were conducted with 15 children's hospitals participating in FOCUS on a Fitter Future and 1 nonparticipating hospital. Interview transcripts identified 5 financially sustainable stage 3 programs, each funded differently. RESULTS: The stage 3 programs interviewed ranged from being nascent to 21 years old (27%, <2 years; 47%, 2-6 years; 27%, >6 years). All of them had multidisciplinary teams that delivered services through 1 of 3 institutional structures: 60% freestanding; 7% specialty; and 33% hospital within a hospital. One-third of them had 1 to 2 funding sources, and 67% had ≥ 3 sources. CONCLUSIONS: The stage 3 programs in this review shared some common strategies for achieving financial stability. All of them followed key strategies of the chronic care model, the details of which led to the following recommendation: stage 3 programs should include a health care team with a medical provider, registered dietitian, physical activity specialist, mental health specialist, and coordinator who, as a team, provide service to overweight and obese children at no less than moderate intensity (26-75 hours).

Building capacity for childhood obesity prevention and treatment in the medical community: call to action.

Large gaps exist in the capacity of the US medical system to participate meaningfully in childhood obesity-prevention efforts and to meet the treatment needs of obese children. Current primary care practice for the prevention and treatment of childhood obesity often varies from evidence-based recommendations. Childhood obesity specialists have partnered successfully with schools of medicine, professional societies, and other organizations to collaboratively engage with primary care providers in quality improvement for obesity prevention and treatment. This review and commentary targets 2 audiences. For childhood obesity experts and their organizational partners, methods to support change in primary practice and the evidence supporting their use are outlined. For primary care providers and non-obesity specialists, effective strategies for changing practice and the potential benefits of addressing childhood obesity systematically are discussed.

Association of DASH diet with cardiovascular risk factors in youth with diabetes mellitus: the SEARCH for Diabetes in Youth study.

BACKGROUND: We have shown that adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is related to blood pressure in youth with type 1 and type 2 diabetes mellitus. We explored the impact of the DASH diet on other cardiovascular disease risk factors. METHODS AND RESULTS: Between 2001 and 2005, data on total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, low-density lipoprotein particle density, apolipoprotein B, body mass index, waist circumference, and adipocytokines were ascertained in 2130 youth aged 10 to 22 years with physician-diagnosed diabetes mellitus. Dietary intake was assessed by food frequency questionnaire, categorized into the DASH food groups, and assigned an adherence score. Among youth with type 1 diabetes mellitus, higher adherence to the DASH diet was significantly and inversely associated with low-density lipoprotein/high-density lipoprotein ratio and A(1c) in multivariable-adjusted models. Youth in the highest adherence tertile had an estimated 0.07 lower low-density lipoprotein/high-density lipoprotein ratio and 0.2 lower A(1c) levels than those in the lowest tertile adjusted for confounders. No significant associations were observed with triglycerides, low-density lipoprotein particle density, adipocytokines, apolipoprotein B, body mass index Z score, or waist circumference. Among youth with type 2 diabetes mellitus, associations were observed with low-density lipoprotein particle density and body mass index Z score. CONCLUSIONS: The DASH dietary pattern may be beneficial in the prevention and management of cardiovascular disease risk in youth with diabetes mellitus.

Prevalence and correlates of elevated blood pressure in youth with diabetes mellitus: the SEARCH for diabetes in youth study.

OBJECTIVE: To determine the prevalence and correlates of elevated blood pressure (BP) in youth with type 1 or type 2 diabetes mellitus by using data from the SEARCH Study. STUDY DESIGN: The analysis included youth aged 3 to 17 years with type 1 (n = 3691) and type 2 diabetes mellitus (n = 410) who attended a research visit. Elevated BP was defined as systolic or diastolic values >or=95 percentile, regardless of drug use. In youth with elevated BP, awareness was defined as self-report of an earlier diagnosis. Control was defined as BP values <90th percentile and <120/90 mm Hg in youth with an earlier diagnosis who were taking BP medications. RESULTS: The prevalence of elevated BP in youth with type 1 diabetes mellitus was 5.9%; minority ethnic groups, obese adolescents, and youth with poor glycemic control were disproportionately affected. In contrast, 23.7% of adolescents with type 2 diabetes mellitus had elevated BP (P < .0001), Similarly, 31.9% of youth with type 2 diabetes mellitus and elevated BP were aware, compared with only 7.4% of youth with type 1 diabetes mellitus (P < .0001). Once BP was diagnosed and treated, control was similar in type 1 (57.1%) and type 2 diabetes mellitus (40.6%). CONCLUSIONS: Our findings identify high-risk groups of youth with diabetes mellitus at which screening and treatment efforts should be directed.

Evaluating geographic variation in type 1 and type 2 diabetes mellitus incidence in youth in four US regions.

We evaluated geographic variation in type 1 and type 2 diabetes mellitus (T1DM, T2DM) in four regions of the United States. Data on 807 incident T1DM cases diabetes and 313 T2DM cases occurring in 2002-03 in South Carolina (SC) and Colorado (CO), 5 counties in Washington (WA), and an 8 county region around Cincinnati, Ohio (OH) among youth aged 10-19 years were obtained from the SEARCH for Diabetes in Youth Study. Geographic patterns were evaluated in a Bayesian framework. Incidence rates differed between the study regions, even within race/ethnic groups. Significant small-area variation within study region was observed for T1DM and T2DM. Evidence for joint spatial correlation between T1DM and T2DM was present at the county level for SC (r(SC)=0.31) and CO non-Hispanic Whites (r(CO)=0.40) and CO Hispanics (r(CO)=0.72). At the tract level, no evidence for meaningful joint spatial correlation was observed (r(SC)=-0.02; r(CO)=-0.02; r(OH)=0.03; and r(WA=)0.09). Our study provides evidence for the presence of both regional and small area, localized variation in type 1 and type 2 incidence among youth aged 10-19 years in the United States.