Skip to main content
  • More from ADA
    • Diabetes
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care
  • Subscribe
  • Log in
  • My Cart
  • Follow ada on Twitter
  • RSS
  • Visit ada on Facebook
Diabetes Care

Advanced Search

Main menu

  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • Special Article Collections
    • ADA Standards of Medical Care
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • Special Article Collections
    • ADA Standards of Medical Care
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Individual Subscriptions
    • Institutional Subscriptions and Site Licenses
    • Access Institutional Usage Reports
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcasts
    • Diabetes Core Update
    • Special Podcast Series: Therapeutic Inertia
    • Special Podcast Series: Influenza Podcasts
    • Special Podcast Series: SGLT2 Inhibitors
    • Special Podcast Series: COVID-19
  • Submit
    • Submit a Manuscript
    • Journal Policies
    • Instructions for Authors
    • ADA Peer Review
  • More from ADA
    • Diabetes
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care

User menu

  • Subscribe
  • Log in
  • My Cart

Search

  • Advanced search
Diabetes Care
  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • Special Article Collections
    • ADA Standards of Medical Care
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • Special Article Collections
    • ADA Standards of Medical Care
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Individual Subscriptions
    • Institutional Subscriptions and Site Licenses
    • Access Institutional Usage Reports
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcasts
    • Diabetes Core Update
    • Special Podcast Series: Therapeutic Inertia
    • Special Podcast Series: Influenza Podcasts
    • Special Podcast Series: SGLT2 Inhibitors
    • Special Podcast Series: COVID-19
  • Submit
    • Submit a Manuscript
    • Journal Policies
    • Instructions for Authors
    • ADA Peer Review
Epidemiology/Health Services/Psychosocial Research

Distribution of HbA1c Levels For Children and Young Adults in the U.S.

Third National Health and Nutrition Examination Survey

  1. Jinan B. Saaddine, MD1,
  2. Anne Fagot-Campagna, MD1,
  3. Deborah Rolka1,
  4. K.M. Venkat Narayan1,
  5. Linda Geiss1,
  6. Mark Eberhardt, PHD2 and
  7. Katherine M. Flegal, PHD2
  1. 1Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
  2. 2National Center for Health Statistics, Centers for Disease Control and Prevention, Atlanta, Georgia
    Diabetes Care 2002 Aug; 25(8): 1326-1330. https://doi.org/10.2337/diacare.25.8.1326
    PreviousNext
    • Article
    • Figures & Tables
    • Info & Metrics
    • PDF
    Loading

    Third National Health and Nutrition Examination Survey

    Abstract

    OBJECTIVE—To describe the distribution of HbA1c levels among children and young adults in the U.S. and to evaluate the effects of age, sex, race/ethnicity, socioeconomic status, parental history of diabetes, overweight, and serum glucose on HbA1c levels.

    RESEARCH DESIGN AND METHODS—We analyzed HbA1c data from the Third National Health and Nutrition Examination Survey, 1988–1994, for 7,968 participants aged 5–24 years who had not been treated for diabetes. After adjusting for the complex sample design, we compared the distributions of HbA1c in subgroups and developed multiple linear regression models to examine factors associated with HbA1c.

    RESULTS—Mean HbA1c level was 4.99% (SD 0.50%) and varied from 4.93% (95% CI ±0.04) in non-Hispanic whites to 5.05% (±0.02) in Mexican-Americans to 5.17% (±0.02) in non-Hispanic blacks. There were very small differences among subgroups. Within each age- group, among men and women, among overweight and nonoverweight subjects, and at any level of education, mean HbA1c levels were higher in non-Hispanic blacks than in non-Hispanic whites. After adjusting for confounders, HbA1c levels for non-Hispanic blacks (5.15%, 95% CI ±0.04) and Mexican-Americans (5.01%, ±0.04) were higher than those for non-Hispanic whites (4.93%, ±0.04).

    CONCLUSIONS—These data provide national reference levels for HbA1c distributions among Americans aged 5–24 years and show statistically significant racial/ethnic differences in HbA1c levels that are not completely explained by demographic and health-related variables.

    • CDC, Centers for Disease Control and Prevention
    • HPLC, high-performance liquid chromatography
    • NHANES III, Third National Health and Nutrition Examination Survey
    • SES, socioeconomic status

    Concentration of HbA1c is an indicator of average blood glucose concentration over the preceding 2–3 months. HbA1c is currently considered the best index of metabolic control for diabetic patients in clinical settings (1,2) and participants in epidemiological studies as well as a measure of risk for the development of micro- and macrovascular complications (3,4). HbA1c concentration is also related to prevalent coronary disease or carotid intimal thickening in nondiabetic individuals (5,6). It has been suggested as a diagnostic and screening tool for diabetes in the general population (7–9). The use of this test and the distribution of HbA1c levels are also being used increasingly by quality assurance programs to assess the quality of diabetes care (10).

    Although the normative distribution for HbA1c levels has been described and standardized for adults (11), normal ranges for children have not been established. Diabetes in children and adolescents is on the rise, perhaps due to the increase in type 2 diabetes (12) and possibly type 1 diabetes (13). With the increase in diabetes in children and the accompanying increased use of HbA1c concentration as a glycemic indicator, it is important to develop reference levels and standards for HbA1c for this population.

    Here, we describe the distribution of HbA1c levels in a nationally representative sample of U.S. children, adolescents, and young adults aged 5–24 years. We also evaluate the effects of age, sex, ethnicity, socioeconomic status (SES), parental history of diabetes, overweight, and blood glucose on the distribution of HbA1c.

    RESEARCH DESIGN AND METHODS

    The Third National Health and Nutrition Examination Survey (NHANES III) was conducted from 1988 to 1994 by the National Center for Health Statistics of the Centers for Disease Control and Prevention (CDC) to assess the health and nutritional status of the U.S. population (14). The NHANES III included a nationally representative probability sample of the U.S. civilian noninstitutionalized population, identified through a complex multistage cluster sampling design, with oversampling of young people, non-Hispanic blacks, and Mexican-Americans. During a household interview, participants or a proxy respondent for children provided information on participants’ sociodemographics, health status, and family medical history. Physicians and health care technicians conducted a standard examination on sampled subjects in a mobile examination center within 4 weeks of the household interview.

    The NHANES III collected several indicators of SES: the educational attainment of the head of household (defined as the family member ≥17 years of age who owned or rented the dwelling), income, and occupation. We used education as a proxy for SES because unlike income data, education data in NHANES III were relatively complete. We also used the poverty income ratio so that we could analyze across the 6 years of the survey in a comparable manner (14).

    For this analysis, we defined race/ethnicity as non-Hispanic white, non-Hispanic black, Mexican-American, and other race (including other Hispanics, Asians, and Native Americans). For the total U.S. estimates, all racial/ethnic groups were combined. BMI was calculated as weight in kilograms divided by height in meters squared. BMI percentiles were calculated on the basis of the CDC growth charts (15). We defined overweight as the age- and sex-specific BMI exceeding the 95th percentile.

    HbA1c was measured on whole blood from participants ≥4 years of age with an ion-exchange high-performance liquid chromatography (HPLC) method (Bio-Rad Diamat HPLC; interassay coefficient of variation 2.0). Because the presence of variant hemoglobins (hemoglobins C, D, F, and S) interfere with the HPLC method, NHANES III analysts used the standardized affinity chromatographic method when these hemoglobins were present. Both methods were standardized to the Diabetes Control and Complications Trial reference method. Serum glucose levels of participants ≥12 years of age were measured as part of a standard battery of biochemical assessments (Hitachi Model 737 multichannel analyzer; Boehringer Mannheim, Indianapolis, IN) (16).

    Of the 9,401 NHANES III respondents aged 5–24 years who were interviewed and examined, 13% (n = 1,218) did not have their HbA1c levels measured. There were no major differences in HbA1c completion rate by sex, overweight, or education level. The completion rate varied with age (78% in the age group 5–9 years and 95% in the age group 20–24 years; P < 0.01) and race/ethnicity (90% among Mexican-Americans, 89% among non-Hispanic whites, and 86% among non-Hispanic blacks; P < 0.01). Pregnant women (n = 185) and respondents who reported current treatment for diabetes (n = 20) were excluded from analysis.

    Statistical analysis

    We performed analyses for this study using SAS for data management and SUDAAN to account for unequal probabilities of selection, planned oversampling, differential nonresponse, and the complex sample design (17,18). We used pairwise comparisons to test for the significant mean differences in HbA1c levels among different groups. We used multiple linear regression models to describe the relationship of HbA1c levels with the following independent variables: age, sex, race/ethnicity, education level, and overweight. Separate regression models were run for each age group due to the consistent significant age and sex interaction. Additional models that controlled for fasting glucose levels included the 2,809 children and young adults >12 years of age who had fasting glucose levels measured after fasting for >8 h.

    RESULTS

    A total of 7,974 children, adolescents, and young adults aged 5–24 years who were not treated for diabetes had their HbA1c levels measured. The mean age was 15 years, 49% were men, and 11% were overweight. Of subjects, ∼25% had not completed high school, 34% had completed high school only, and 41% had >12 years of education. White youths were more likely to be from homes having higher levels of education and higher income than youths of other races. More than 40% of non-Hispanic blacks and Mexican-Americans lived below the poverty level compared with only 15% of non-Hispanic whites. The prevalence of overweight was higher among non-Hispanic blacks and Mexican-Americans (15% for both) than among non-Hispanic whites (10%).

    The distribution of HbA1c levels by race/ethnicity is shown in Fig. 1. The distribution of HbA1c levels was slightly higher among non-Hispanic blacks than among Mexican-Americans and non-Hispanic whites.

    Overall sex-related differences in HbA1c means levels (5.02% in men vs. 4.95% in women) were significant (P < 0.01) but very small. Participants 10–14 years of age, non-Hispanic blacks, overweight participants, those of low SES, and those with a positive parent history of diabetes had a statistically higher mean HbA1c level than their counterparts (P < 0.01 for each) (Table 1). Among the 2,809 youths whose fasting serum glucose levels were measured, those with fasting serum glucose ≥126 mg/dl had a higher mean HbA1c level than those with fasting glucose 110–125 mg/dl or those with fasting glucose <110 mg/dl (6.9, 5.1, and 4.9%, respectively). However, the magnitude of these mean differences was generally small (range 0.05–0.23%).

    Mean HbA1c levels were highest among non-Hispanic blacks for both sexes and in every age group (P < 0.01). Participants aged 10–14 years had the highest mean HbA1c levels compared with other age groups, except for Mexican-American males, among whom mean HbA1c levels continuously increased with age (P < 0.01), and non-Hispanic black males, among whom HbA1c levels were higher in age groups 10–14 and 20–24 years (P < 0.05) (Fig. 2). Mean HbA1c levels were higher among overweight than nonoverweight participants in all age and race/ethnic groups (P < 0.01). The difference in mean HbA1c levels between overweight and nonoverweight study participants was more pronounced among non-Hispanic blacks (Fig. 3).

    In our multiple linear regression analysis, the factors associated with a higher HbA1c level were age 10–14 years (P < 0.01), male sex (P < 0.01), non-Hispanic black race (P < 0.001), Mexican-American ethnicity (P < 0.01), positive parent history of diabetes (P < 0.01), and overweight (P < 0.01). However, even when all previously mentioned factors were included in the model, the HbA1c level was still poorly explained (R2 = 0.06) by these variables. In a model additionally controlled for fasting glucose (n = 2,809, R2 = 0.1), non-Hispanic blacks still had a higher HbA1c level than other racial/ethnic groups. Furthermore, HbA1c increased with increasing fasting glucose (P < 0.01).

    When we fit separate models for each age, male subjects had significantly higher HbA1c levels than female subjects only in the age groups 15–19 (P < 0.01) and 20–24 years (P = 0.03). Non-Hispanic blacks had higher HbA1c levels than non-Hispanic whites in all age groups (P < 0.01), and Mexican-Americans had higher HbA1c levels than non-Hispanic whites in all age groups except 5–9 years (P < 0.01). Education less than or equal to high school (P < 0.01) was associated with a high HbA1c level among those aged 20–24 years only, whereas overweight was a significant factor among the 10- to 14-year-old subjects only (P < 0.01).

    CONCLUSIONS

    This report provides national reference values for HbA1c distribution among subjects aged 5–24 years in the U.S. who were evaluated by age, sex, race/ethnicity, education, parental history of diabetes, overweight, and glucose status. In general, HbA1c levels were higher in the 10- to 14-year-old age group and higher among overweight participants, those with lower levels of education (among 20- to 24-year-old age group), those with a positive parental history of diabetes, and those with serum glucose ≥126 mg/dl than in others. We also found consistent differences in HbA1c levels among the different racial/ethnic groups studied, with non-Hispanic blacks having the highest levels, followed by Mexican-Americans and whites, and these differences were not accounted for by other demographic or clinical factors.

    Such differences in HbA1c levels, which are modest and mostly within a normal range, can be interpreted in several ways. On one hand, such differences may reflect physiological differences in HbA1c metabolism that could be related to genetic or other factors. HbA1c is actually influenced by both the life span of the erythrocyte and its permeability to glucose (19–21). On the other hand, differences in HbA1c may also reflect higher average glycemia over the preceding 2–3 months (which may also be physiological and within normal limits), or the differences may reflect some level of relative insulin resistance. Indeed, an elevated HbA1c level has been associated with excess mortality risk in the general population (22).

    In this healthy U.S. population, non-Hispanic black youths consistently had higher HbA1c levels than non-Hispanic white youths, even after data were adjusted for age, sex, education, overweight, and fasting glucose level. Considering the disproportionate rise in type 2 diabetes in minority children (23–27), these differences in HbA1c are noteworthy. We also described significant differences in HbA1c levels associated with age, sex, weight, and education. These differences were significant in some specific subgroups only. The effects of age on HbA1c levels in adults are controversial, as some studies show age-related increases in HbA1c levels and others show little or no increase (28,29). Differences in results among the studies are likely related to differences in the selection of study subjects. In most ethnic and sex groups, we found mean HbA1c levels highest in the group aged 10–14 years. This may reflect the demonstrated transient increase in insulin resistance experienced at the onset of puberty and the return to near prepubertal insulin sensitivity level by the end of puberty (30). In NHANES III, low level of education was associated with high HbA1c levels in the overall population; however, when we fitted separated models by age-group, the association persisted only among the 20- to 24-year age group. The absence of significant relationship in the younger age groups may be because the level of education was that of the head of the household, most likely a parent, whereas in the oldest group, the education level was that of the youth.

    Our study has several strengths and limitations. The NHANES III is a nationally representative sample that oversampled black and Mexican-American children, the two largest racial/ethnic minority groups in the U.S. Some results should, however, be interpreted with caution. The exclusion of youth with diabetes was based on participant response to a question about use of insulin or glucose regulators; however, the validity of data based on responses to such questions is very high. More importantly, the survey did not have compatible physical activity questions for youths aged 8–16 years, and physical activity is a major potential confounder for insulin sensitivity and potentially for glucose and HbA1c levels. These factors may well play a role in the observed ethnic differences as well as other differences in HbA1c levels.

    In conclusion, we have provided national reference values for HbA1c distribution among individuals aged 5–24 years in the U.S. The physiopathological meaning of differences in HbA1c levels within a normal range, however, is not established. Although we found small differences in distributions across different groups, we believe that these data may not support the need for separate norms.

    Figure 1—
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1—

    HbA1c distribution by ethnicity in U.S. children and young adults aged 5–24 years (NHANES III, 1988–1994).

    Figure 2—
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2—

    Mean HbA1c among U.S. children and young adults aged 5–24 years by age group, sex, and ethnicity (NHANES III, 1988–1994). MA, Mexican-American; NHB, non-Hispanic black; NHW, non-Hispanic white.

    Figure 3—
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3—

    Mean HbA1c among U.S. children and young adults aged 5–24 years by age group, ethnicity, and overweight (NHANES III, 1988–1994). MA, Mexican-American; NHB, non-Hispanic black; NHW, non-Hispanic white.

    View this table:
    • View inline
    • View popup
    Table 1—

    Mean, SE, and percentiles for HbA1c by age, sex, ethnicity, education, and overweight among U.S. children and youths (NHANES III, 1988–1994)

    Footnotes

    • Address correspondence and reprint requests to Jinan B. Saaddine, Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Highway, NE (MS-K68), Atlanta, GA 30341. E-mail: zna2{at}cdc.gov.

      Received for publication 12 September 2001 and accepted in revised form 29 April 2002.

      A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.

    • DIABETES CARE

    References

    1. ↵
      Nathan DM, Singer DE, Hurxthal K, Goodson JD: The clinical information value of the glycosylated hemoglobin assay. N Engl J Med 310: 341–346, 1984
      OpenUrlCrossRefPubMedWeb of Science
    2. ↵
      Goldstein DE: Is glycosylated hemoglobin clinically useful (Editorial)? N Engl J Med 310:384–385, 1984
      OpenUrlPubMedWeb of Science
    3. ↵
      Moss SE, Klein R, Klein BEK, Meuer MS: The association of glycemia and cause-specific mortality in a diabetic population. Arch Intern Med 154:2473–2479, 1994
      OpenUrlCrossRefPubMedWeb of Science
    4. ↵
      Krolewski AS, Laffel LMB, Krolewski M, Quinn M, Warram JH: Glycosylated hemoglobin and the risk of microalbuminuria in patients with insulin-dependent diabetes mellitus. N Engl J Med 332:1251–1255, 1995
      OpenUrlCrossRefPubMedWeb of Science
    5. ↵
      Vitelli Ll, Shahar E, Heiss G, McGovern PG, Brancati FL, Eckfeldt JH, Folsom AR: Glycosylated hemoglobin level and corotid intima-medial thickening in nondiabetic individuals: the Atherosclerosis Risk in Communities Study. Diabetes Care 20:1454–1548, 1997
      OpenUrlAbstract/FREE Full Text
    6. ↵
      Singer DE, Natahn DM, Anderson KM, Wilson PWF, Evans JC: Association of HbA1c with prevalent cardiovascular disease in the original cohort of the Framingham Heart Study. Diabetes 41:202–208, 1992
      OpenUrlAbstract/FREE Full Text
    7. ↵
      Rohlfing CL, Little RR, Wiedmeyer HM, England JD, Madsen R, Harris MI, Flegal KM, Eberhardt MS, Goldstein DE: Use of GHb (HbA1c) in screening for undiagnosed diabetes in the U.S. population. Diabetes Care 23:187–191, 2000
      OpenUrlAbstract
    8. Herman WH, Engelgau M, Zhang Y, Brown MB: Use of GHb (HbA1c) to screen for undiagnosed diabetes in the U.S. population (Letter). Diabetes Care 23:1207–1208, 2000
      OpenUrlFREE Full Text
    9. ↵
      Davidson MB, Schriger DL, Peters AL, Lorber B: Relationship between fasting plasma glucose and glycosylated hemoglobin: potential for false positive diagnosis of type 2 diabetes using new diagnostic criteria. JAMA 281:1203–1210, 1999
      OpenUrlCrossRefPubMedWeb of Science
    10. ↵
      American Diabetes Association: Provider notes: the newsletter of the ADA/NCQA Provider Recognition Program, 2000, p.1–4
    11. ↵
      Simon D, Senan C, Garnier P, Saint-Paul M, Papoz L: Epidemiological features of glycated haemoglobin A1c distribution in a healthy population. Diabetologia 32:864–869, 1989
      OpenUrlCrossRefPubMedWeb of Science
    12. ↵
      Fagot-Campagna A, Pettitt DJ, Engelgau MM, Burrows NR, Geiss LS, Valdez R, Beckles GL, Saaddine J, Gregg EW, Williamson DF, Narayan KM: Type 2 diabetes among North American children and adolescents: an epidemiologic review and a public health perspective. J Pediatr 136:664–672, 2000
      OpenUrlCrossRefPubMedWeb of Science
    13. ↵
      EURODIAB ACE Study Group: Variation and trends in incidence of childhood diabetes in Europe. Lancet 355:873–876, 2000
      OpenUrlCrossRefPubMedWeb of Science
    14. ↵
      National Center for Health Statistics: Plan and operation of the Third National Health and Nutrition Examination Survey, 1988–1994. In NHANES III: Vital Health Statistics. Vol. 1. 1994
    15. ↵
      Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, et al: 2000 CDC growth charts for the United States: methods and development. In National Center for Health Statistics: Vital Health Statistics. Vol. 11. 2002
    16. ↵
      National Center for Health Statistics: Third National Health and Nutrition Examination Survey, 1988–1994. Reference Manuals and Reports: Manual for Medical Technicians and Laboratory Procedures Used for NHANES III (CD-ROM). Hyattsville, MD, Centers for Disease Control and Prevention, 1996
    17. ↵
      SAS Institute: SAS Procedures Guide. Version 6, 3rd ed. Cary, NC, SAS Institute, 1990
    18. ↵
      Shah BV, Barnwell BG, Bieler GS: SUDAAN User’s Manual, Release 7.5. Research Triangle Park, NC, Research Triangle Institute, 1997
    19. ↵
      Bunn HF, Haney DN, Kamin S, Gabbay KH, Gallop PM: The biosynthesis of human hemoglobin A1c: slow glycosylation of hemoglobin in vivo. J Clin Invest 57:1652–1659, 1976
    20. Smith RJ, Koening RJ, Binnerts A, Soeldner JS, Aoki TT: Regulation of hemoglobin A1c formation in human erythrocytes in vitro. J Clin Invest 69:1164–1168, 1982
    21. ↵
      Higgins PJ, Garlick RL, Bunn HF: Glycosylated hemoglobin in human and animal red cells: role of glucose permeability. Diabetes 31:743–748, 1982
      OpenUrlAbstract/FREE Full Text
    22. ↵
      Khaw KT, Wareham N, Luben R, Bingham S, Oakes S, Welch A, Day N: Glycated haemoglobin, diabetes, and mortality in men in Norfolk cohort of European Prospective Investigation of Cancer and Nutrition (EPIC-Norfolk). BMJ 322:1–6, 2000
      OpenUrl
    23. ↵
      Pinhas-Hamiel O, Dolan LM, Daniels SR, Standford D, Khoury PR, Zeitler P: Increased incidence of non-insulin-dependent diabetes mellitus among adolescents. J Pediatr 128:608–615, 1996
      OpenUrlCrossRefPubMedWeb of Science
    24. Neufeld ND, Raffel LJ, Landon C, Chen YD, Vadheim CM: Early presentation of type 2 diabetes in Mexican-American youth. Diabetes Care 21:80–86, 1998
      OpenUrlAbstract/FREE Full Text
    25. Dean HJ, Mundy RL, Moffatt M: Non-insulin-dependent diabetes mellitus in Indian children in Manitoba. Can Med Assoc J 147:52–57, 1992
      OpenUrlAbstract
    26. Dabelea D, Hanson RL, Bennett PH, Roumain J, Knowler WC, Pettitt DJ: Increasing prevalence of type 2 diabetes in American Indian children. Diabetologia 41:904–910, 1998
      OpenUrlCrossRefPubMedWeb of Science
    27. ↵
      Acton KJ, Burrows NR, Moore K, Querec L, Geiss LS, Engelgau MM: Trend in diabetes prevalence among American Indian and Alaska Native Children, adolescents, and young adults: an increasing burden among younger people. Am J Public Health. In press
    28. ↵
      Kabadi UM: Glycosylation of proteins: lack of influence of aging. Diabetes Care 11:429–432, 1995
      OpenUrlAbstract/FREE Full Text
    29. ↵
      Nuttall FQ: Effect of age on the percentage of hemoglobin A1c and the percentage of total glycohemoglobin in non-diabetic persons. J Lab Clin Med 134:451–453, 1999
      OpenUrlCrossRefPubMedWeb of Science
    30. ↵
      Moran A, Jacobs DR, Steinberg J, Hong CP, Prineas R, Luepker R, Sinaiko A: Insulin resistance during puberty: results from clamp studies in 357 children. Diabetes 48:2039–2044, 1999
      OpenUrlAbstract
    View Abstract
    PreviousNext
    Back to top
    Diabetes Care: 25 (8)

    In this Issue

    August 2002, 25(8)
    • Table of Contents
    • About the Cover
    • Index by Author
    Sign up to receive current issue alerts
    View Selected Citations (0)
    Print
    Download PDF
    Article Alerts
    Sign In to Email Alerts with your Email Address
    Email Article

    Thank you for your interest in spreading the word about Diabetes Care.

    NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

    Enter multiple addresses on separate lines or separate them with commas.
    Distribution of HbA1c Levels For Children and Young Adults in the U.S.
    (Your Name) has forwarded a page to you from Diabetes Care
    (Your Name) thought you would like to see this page from the Diabetes Care web site.
    CAPTCHA
    This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
    Citation Tools
    Distribution of HbA1c Levels For Children and Young Adults in the U.S.
    Jinan B. Saaddine, Anne Fagot-Campagna, Deborah Rolka, K.M. Venkat Narayan, Linda Geiss, Mark Eberhardt, Katherine M. Flegal
    Diabetes Care Aug 2002, 25 (8) 1326-1330; DOI: 10.2337/diacare.25.8.1326

    Citation Manager Formats

    • BibTeX
    • Bookends
    • EasyBib
    • EndNote (tagged)
    • EndNote 8 (xml)
    • Medlars
    • Mendeley
    • Papers
    • RefWorks Tagged
    • Ref Manager
    • RIS
    • Zotero
    Add to Selected Citations
    Share

    Distribution of HbA1c Levels For Children and Young Adults in the U.S.
    Jinan B. Saaddine, Anne Fagot-Campagna, Deborah Rolka, K.M. Venkat Narayan, Linda Geiss, Mark Eberhardt, Katherine M. Flegal
    Diabetes Care Aug 2002, 25 (8) 1326-1330; DOI: 10.2337/diacare.25.8.1326
    del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
    • Tweet Widget
    • Facebook Like
    • Google Plus One

    Jump to section

    • Article
      • Abstract
      • RESEARCH DESIGN AND METHODS
      • RESULTS
      • CONCLUSIONS
      • Footnotes
      • References
    • Figures & Tables
    • Info & Metrics
    • PDF

    Related Articles

    Cited By...

    More in this TOC Section

    • Suboptimal Use of Cardioprotective Drugs in Newly Treated Elderly Individuals With Type 2 Diabetes
    • Disparities in Diabetes Care Between Smokers and Nonsmokers
    • Elevated Cystatin C Concentration and Progression to Pre-Diabetes
    Show more Epidemiology/Health Services/Psychosocial Research

    Similar Articles

    Navigate

    • Current Issue
    • Standards of Care Guidelines
    • Online Ahead of Print
    • Archives
    • Submit
    • Subscribe
    • Email Alerts
    • RSS Feeds

    More Information

    • About the Journal
    • Instructions for Authors
    • Journal Policies
    • Reprints and Permissions
    • Advertising
    • Privacy Policy: ADA Journals
    • Copyright Notice/Public Access Policy
    • Contact Us

    Other ADA Resources

    • Diabetes
    • Clinical Diabetes
    • Diabetes Spectrum
    • Scientific Sessions Abstracts
    • Standards of Medical Care in Diabetes
    • BMJ Open - Diabetes Research & Care
    • Professional Books
    • Diabetes Forecast

     

    • DiabetesJournals.org
    • Diabetes Core Update
    • ADA's DiabetesPro
    • ADA Member Directory
    • Diabetes.org

    © 2021 by the American Diabetes Association. Diabetes Care Print ISSN: 0149-5992, Online ISSN: 1935-5548.