Debra Standiford

The Burden of Diabetes Mellitus Among US Youth: Prevalence Estimates From the SEARCH for Diabetes in Youth Study

OBJECTIVE. Our goal was to estimate the prevalence of diabetes mellitus in youth <20 years of age in 2001 in the United States, according to age, gender, race/ethnicity, and diabetes type. METHODS. The SEARCH for Diabetes in Youth Study is a 6-center observational study conducting population-based ascertainment of physician-diagnosed diabetes in youth. Census-based denominators for 4 geographically based centers and enrollment data for 2 health plan-based centers were used to calculate prevalence. Age-, gender-, and racial/ethnic group-specific prevalence rates were multiplied by US population counts to estimate the total number of US youth with diabetes. RESULTS. We identified 6379 US youth with diabetes in 2001, in a population of ∼3.5 million. Crude prevalence was estimated as 1.82 cases per 1000 youth, being much lower for youth 0 to 9 years of age (0.79 cases per 1000 youth) than for those 10 to 19 years of age (2.80 cases per 1000 youth). Non-Hispanic white youth had the highest prevalence (1.06 cases per 1000 youth) in the younger group. Among 10- to 19-year-old youth, black youth (3.22 cases per 1000 youth) and non-Hispanic white youth (3.18 cases per 1000 youth) had the highest rates, followed by American Indian youth (2.28 cases per 1000 youth), Hispanic youth (2.18 cases per 1000 youth), and Asian/Pacific Islander youth (1.34 cases per 1000 youth). Among younger children, type 1 diabetes accounted for ≥80% of diabetes; among older youth, the proportion of type 2 diabetes ranged from 6% (0.19 cases per 1000 youth for non-Hispanic white youth) to 76% (1.74 cases per 1000 youth for American Indian youth). We estimated that 154369 youth had physician-diagnosed diabetes in 2001 in the United States. CONCLUSIONS. The overall prevalence estimate for diabetes in children and adolescents was ∼0.18%. Type 2 diabetes was found in all racial/ethnic groups but generally was less common than type 1, except in American Indian youth.

Glycemic control in youth with diabetes: the SEARCH for diabetes in Youth Study.

OBJECTIVE To assess correlates of glycemic control in a diverse population of children and youth with diabetes. STUDY DESIGN This was a cross-sectional analysis of data from a 6-center US study of diabetes in youth, including 3947 individuals with type 1 diabetes (T1D) and 552 with type 2 diabetes (T2D), using hemoglobin A(1c) (HbA(1c)) levels to assess glycemic control. RESULTS HbA(1c) levels reflecting poor glycemic control (HbA(1c) >or= 9.5%) were found in 17% of youth with T1D and in 27% of those with T2D. African-American, American Indian, Hispanic, and Asian/Pacific Islander youth with T1D were significantly more likely to have higher HbA(1c) levels compared with non-Hispanic white youth (with respective rates for poor glycemic control of 36%, 52%, 27%, and 26% vs 12%). Similarly poor control in these 4 racial/ethnic groups was found in youth with T2D. Longer duration of diabetes was significantly associated with poorer glycemic control in youth with T1D and T2D. CONCLUSIONS The high percentage of US youth with HbA(1c) levels above the target value and with poor glycemic control indicates an urgent need for effective treatment strategies to improve metabolic status in youth with diabetes.

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.

Prevalence and Correlates of Depressed Mood Among Youth With Diabetes: The SEARCH for Diabetes in Youth Study

OBJECTIVE.The objective of this study was to determine if depressed mood among youth with diabetes was associated with type and duration of diabetes, mean glycosylated hemoglobin (HbA1c) level, and the frequency of diabetic ketoacidosis (DKA) and hypoglycemic episodes, hospitalizations, and emergency department (ED) visits. METHODS.A total of 2672 youth (aged 10–21 years) who had diabetes for a mean duration of 5 years completed a SEARCH study visit, in which their HbA1c was measured and information about their demographic characteristics, diabetes type and duration, and episodes of DKA, hypoglycemia, hospitalizations, and ED visits over the previous 6 months was collected. Their level of depressed mood was measured using the Center for Epidemiologic Studies Depression Scale (CES-D). RESULTS.Among these youth, 14% had mildly (CES-D 16–23) and 8.6% had moderately or severely (CES-D ≥24) depressed mood. Females had a higher mean CES-D score than males. After adjusting for demographic factors, and duration of diabetes, we found the prevalence of depressed mood to be higher among males with type 2 diabetes than those with type 1 diabetes and to be higher among females with comorbidities than those without comorbidities. Higher mean HbA1c and frequency of ED visits were associated with depressed mood. The prevalence of depressed mood among youth with diabetes was similar to that of published estimates of depressed mood among youth without diabetes. CONCLUSIONS.Physicians and other health care professionals should consider screening youth with diabetes for depressed mood in clinical settings, particularly youth with poor glycemic control, those with a history of frequent ED visits, males with type 2 diabetes, and females with comorbidities.

Prevalence of Diabetes in U.S. Youth in 2009: The SEARCH for Diabetes in Youth Study

OBJECTIVE To estimate the prevalence of diabetes in U.S. youth aged <20 years in 2009 and to estimate the total number of youth with diabetes in the U.S. by age, race/ethnicity, and diabetes type. RESEARCH DESIGN AND METHODS To address one of its primary aims, the SEARCH for Diabetes in Youth Study identified youth aged <20 years on 31 December 2009 with physician-diagnosed diabetes in selected areas of Colorado, Ohio, South Carolina, and Washington, among health plan members of Kaiser Permanente Southern California and among American Indians living on reservations in Arizona and New Mexico. Diabetes was classified as type 1, type 2, or other. Race/ethnicity was by self-report. RESULTS From a population of 3,458,974 youth aged <20 years, 7,695 youth with diabetes were identified (2.22/1,000): 6,668 with type 1 diabetes (1.93/1,000), 837 with type 2 diabetes (0.24/1,000), and 190 (0.05/1,000) with other diabetes types. Prevalence increased with age, was slightly higher in females than males, and was most prevalent in non-Hispanic White and least prevalent in Asian/Pacific Islanders, with Native American and black youth having the highest prevalence of type 2 diabetes. An estimated 191,986 U.S. youth aged <20 years have diabetes; 166,984 type 1 diabetes, 20,262 type 2 diabetes, and 4,740 other types. CONCLUSIONS Diabetes, one of the leading chronic diseases in childhood, affects >190,000 (1 of 433) youth aged <20 years in the U.S., with racial and ethnic disparities seen in diabetes prevalence, overall and by diabetes type.

Predictors of Insulin Regimens and Impact on Outcomes in Youth with Type 1 Diabetes: The SEARCH for Diabetes in Youth Study

OBJECTIVES To describe the insulin regimens used to treat type 1 diabetes mellitus (T1DM) in youth in the United States, to explore factors related to insulin regimen, and to describe the associations between insulin regimen and clinical outcomes, particularly glycemic control. STUDY DESIGN A total of 2743 subjects participated in the SEARCH for Diabetes in Youth study, an observational population-based study of youth diagnosed with T1DM, conducted at 6 centers. Data collected during a study visit included clinical and sociodemographic information, body mass index, laboratory measures, and insulin regimen. RESULTS Sociodemographic characteristics were associated with insulin regimen. Insulin pump therapy was more frequently used by older youth, females, non-Hispanic whites, and families with higher income and education (P = .02 for females, P < .001 for others). Insulin pump use was associated with the lowest hemoglobin A1C levels in all age groups. A1C levels were >7.5% in >70% of adolescents, regardless of regimen. CONCLUSIONS Youth using insulin pumps had the lowest A1C; A1C was unacceptably high in adolescents. There is a need to more fully assess and understand factors associated with insulin regimens recommended by providers and the influence of race/ethnicity, education, and socioeconomic status on these treatment recommendations and to develop more effective treatment strategies, particularly for adolescents.

Trends in the Prevalence of Ketoacidosis at Diabetes Diagnosis: The SEARCH for Diabetes in Youth Study

OBJECTIVE: To estimate temporal changes in the prevalence of diabetic ketoacidosis (DKA) at diagnosis of type 1 or type 2 diabetes in youth and to explore factors associated with its occurrence. METHODS: Five centers identified incident cases of diabetes among youth aged 0 to 19 years starting in 2002. DKA presence was defined as a bicarbonate level <15 mmol/L and/or a pH <7.25 (venous) or <7.30 (arterial or capillary) or mention of DKA in the medical records. We assessed trends in the prevalence of DKA over 3 time periods (2002–2003, 2004–2005, and 2008–2010). Logistic regression was used to determine factors associated with DKA. RESULTS: In youth with type 1 diabetes (n = 5615), the prevalence of DKA was high and stable over time (30.2% in 2002–2003, 29.1% in 2004–2005, and 31.1% in 2008–2010; P for trend = .42). Higher prevalence was associated with younger age at diagnosis (P < .0001), minority race/ethnicity (P = .019), income (P = .019), and lack of private health insurance (P = 008). Among youth with type 2 diabetes (n = 1425), DKA prevalence decreased from 11.7% in 2002–2003 to 5.7% in 2008–2010 (P for trend = .005). Higher prevalence was associated with younger age at diagnosis (P = .001), minority race/ethnicity (P = .013), and male gender (P = .001). CONCLUSIONS: The frequency of DKA in youth with type 1 diabetes, although stable, remains high, indicating a persistent need for increased awareness of signs and symptoms of diabetes and better access to health care. In youth with type 2 diabetes, DKA at onset is less common and is decreasing over time.

Health-related quality of life of children and adolescents with type 1 or type 2 diabetes mellitus: SEARCH for Diabetes in Youth Study.

OBJECTIVE To examine the associations between demographic and diabetes management variables and the health-related quality of life (HRQOL) of youths with type 1 or type 2 diabetes mellitus (DM). DESIGN Cross-sectional study. SETTINGS Selected populations in Ohio, Washington, South Carolina, Colorado, Hawaii, and California; health service beneficiaries in 3 American Indian populations; and participants in the Pima Indian Study in Arizona. PARTICIPANTS Two thousand four hundred forty-five participants aged 8 to 22 years in the SEARCH for Diabetes in Youth Study. MAIN OUTCOME MEASURE Pediatric Quality of Life Inventory scores. RESULTS Among youths with type 2 DM, HRQOL was lower compared with those with type 1. Among those with type 1 DM, worse HRQOL was associated with a primary insurance source of Medicaid or another government-funded insurance, use of insulin injections vs an insulin pump, a hemoglobin A(1c) value of at least 9%, and more comorbidities and diabetes complications. There was a significant age x sex interaction, such that, in older groups, HRQOL was lower for girls but higher for boys. For youths with type 2 DM, injecting insulin at least 3 times a day compared with using an oral or no diabetes medication was associated with better HRQOL, and having 2 or more emergency department visits in the past 6 months was associated with worse HRQOL. CONCLUSIONS Youths with types 1 and 2 DM reported HRQOL differences by type of treatment and complications. The significant age x sex interaction suggests that interventions to improve HRQOL should consider gender differences in diabetes adjustment and management in different age groups.

Association Between the Dietary Approaches to Hypertension Diet and Hypertension in Youth With Diabetes Mellitus

Among youth with diabetes mellitus, elevated blood pressure represents one of the most common comorbidities. Hence, exploring dietary factors that may help prevent or control hypertension in this population is of paramount importance. We investigated whether adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with hypertension in youth with diabetes mellitus from the SEARCH for Diabetes in Youth Study. Between 2001 and 2005, 2830 youth aged 10 to 22 years (2440 with type 1 and 390 with type 2 diabetes mellitus) completed a study visit. For each of the 8 DASH food groups, a score of 10 was assigned when the DASH recommendation was met. Lower intakes were scored proportionately, and the 8 individual scores were summed. The association between the overall DASH score and hypertension was evaluated using multiple logistic regression. The crude prevalence of hypertension was 6.8% for youth with type 1 and 28.2% for youth with type 2 diabetes mellitus. In youth with type 1, a higher adherence to DASH was inversely related to hypertension, independent of demographic, clinical, and behavioral characteristics (tertile 2 versus 1: odds ratio: 0.7, 95% CI: 0.5 to 1.0; 3 versus 1: odds ratio: 0.6, 95% CI: 0.4 to 0.9; Ptrend=0.007). For type 2 diabetes mellitus, the DASH diet was not associated with hypertension (tertile 2 versus 1: odds ratio: 0.8, 95% CI: 0.5 to 1.4; 3 versus 1: odds ratio: 0.9, 95% CI: 0.5 to 1.5; Ptrend=0.6). Prospective observational studies or clinical trials are needed to investigate whether adherence to the DASH guidelines may help prevent hypertension in youth with type 1 diabetes mellitus. In type 2 diabetes mellitus, more research with a larger sample is necessary.

Trends in Incidence of Type 1 Diabetes Among Non-Hispanic White Youth in the U.S., 2002–2009

The SEARCH for Diabetes in Youth Study prospectively identified youth aged <20 years with physician-diagnosed diabetes. Annual type 1 diabetes (T1D) incidence per 100,000 person-years (95% CI) overall, by age-group, and by sex were calculated for at-risk non-Hispanic white (NHW) youth from 2002 through 2009. Joinpoint and Poisson regression models were used to test for temporal trends. The age- and sex-adjusted incidence of T1D increased from 24.4/100,000 (95% CI 23.9–24.8) in 2002 to 27.4/100,000 (26.9–27.9) in 2009 (P for trend = 0.0008). The relative annual increase in T1D incidence was 2.72% (1.18–4.28) per year; 2.84% (1.12–4.58) per year for males and 2.57% (0.68–4.51) per year for females. After adjustment for sex, significant increases were found for youth aged 5–9 years (P = 0.0023), 10–14 years (P = 0.0008), and 15–19 years (P = 0.004) but not among 0–4-year-olds (P = 0.1862). Mean age at diagnosis did not change. The SEARCH study demonstrated a significant increase in the incidence of T1D among NHW youth from 2002 through 2009 overall and in all but the youngest age-group. Continued surveillance of T1D in U.S. youth to identify future trends in T1D incidence and to plan for health care delivery is warranted.