Prevalence and Incidence of Endocrine and Metabolic Disorders in the United States: A Comprehensive Review

Sherita H. Golden, Karen A. Robinson, Ian Saldanha, Blair Anton, and Paul W. Ladenson Departments of Medicine (S.H.G., K.A.R., I.S., P.W.L.) and Epidemiology (S.H.G.), and the Welch Medical Library (B.A.), The Johns Hopkins University, Baltimore, Maryland 21205

Context: There has not been a comprehensive compilation of data regarding the epidemiology of all endocrine and metabolic disorders in the United States.

Evidence Acquisition: We included 54 disorders with clinical and public health significance. We identified population-based studies that provided U.S. prevalence and/or incidence data by search- ing PubMed in December 2007 for English-language reports, hand-searching reference lists of six textbooks of endocrinology, obtaining additional resources from identified experts in each sub- specialty, and searching epidemiological databases and web sites of relevant organizations. When available, we selected articles with data from 1998 or later. Otherwise, we selected the article with the most recent data, broadest geographical coverage, and most stratifications by sex, ethnicity, and/or age. Ultimately, we abstracted data from 70 articles and 40 cohorts.

Evidence Synthesis: Endocrine disorders with U.S. prevalence estimates of at least 5% in adults included diabetes mellitus, impaired fasting glucose, impaired glucose tolerance, obesity, meta- bolic syndrome, osteoporosis, osteopenia, mild-moderate hypovitaminosis D, erectile dysfunction, dyslipidemia, and thyroiditis. Erectile dysfunction and osteopenia/osteoporosis had the highest incidence in males and females, respectively. The least prevalent conditions, affecting less than 1% of the U.S. population, were diabetes mellitus in children and pituitary adenoma. Conditions with the lowest incidence were adrenocortical carcinoma, pheochromocytoma, and pituitary adeno- mas. Certain disorders, such as hyperparathyroidism and thyroid disorders, were more common in females. As expected, the prevalence of diabetes mellitus was highest among ethnic minorities. Sparse data were available on pituitary, adrenal, and gonadal disorders.

Conclusions: The current review shows high prevalence and incidence of common endocrine and metabolic disorders. Defining the epidemiology of these conditions will provide clues to risk factors and identify areas to allocate public health and research resources. (J Clin Endocrinol Metab 94: 1853-1878, 2009)

E ndocrine and metabolic diseases are among the most com- mon contemporary human afflictions, particularly in the United States and other countries with generous nutrition and screening programs for high-risk individuals. The prevalence and incidence of certain disorders, such as diabetes and obesity, have been well defined in large population-based studies (1-4). There has, however, been no comprehensive survey and compi- lation of data regarding the epidemiology of endocrine and met- abolic disorders to serve as a unified source of information about

these conditions. The same is true of most other subspecialties of medicine, with the exception of oncological diseases (5).

It is crucial to define the epidemiology of both common and unusual endocrine and metabolic diseases for several reasons. Documenting the overall disease burden (prevalence) and risk of disease development (incidence) and the distribution of endo- crine and metabolic disorders in population subgroups should 1) provide critical information for the appreciation of the societal burden of these conditions; 2) guide public health interventions;

Abbreviations: CI, Confidence interval; HDL, high-density lipoprotein; py, person-years.

3) establish research priorities; and 4) aid in the appropriate allocation of health care dollars. Furthermore, detailed infor- mation regarding the burden and distribution of endocrine dis- orders should help define current and future endocrine work- force requirements and shape strategies for their effective use (6).

Recognizing the need for a comprehensive epidemiological review of endocrine and metabolic disorders, The Endocrine So- ciety provided support for this survey and summary of the med- ical literature describing U.S. population-based data on the prev- alence and incidence of these conditions.

Materials and Methods

Selection of conditions

Initially, 72 disorders and conditions were enumerated, from which we selected key conditions representing classical hormonal disorders cared for by endocrinologists (i.e. adrenal, thyroid, and pituitary disor- ders), conditions with clinical and public health importance cared for by endocrinologists and primary care providers (i.e. diabetes mellitus, obe- sity, osteoporosis, erectile dysfunction), and conditions with available diagnostic testing and/or therapy. We selected 54 disorders to include in this review (supplemental Table 1, published as supplemental data on The Endocrine Society’s Journals Online web site at http:// jcem.endojournals.org).

Identification of evidence

Existing databases

We first identified existing epidemiological databases with poten- tially relevant prevalence and/or incidence data to avoid retrieval of du- plicate data sets. We generated a list of online databases and web sites of relevant organizations (n = 20) and reviewed each of these sources for existing data (supplemental Table 2). Although many web sites reported prevalence and/or incidence data for endocrine disorders, the sources from which data were generated were not indicated. We therefore chose to identify original articles to allow a complete description of the pop- ulations used to generate data.

Systematic review-pilot test

We developed a comprehensive literature search strategy for each of the 54 selected conditions. Given the large number of conditions and the expected large volume of information to screen and abstract, we devel- oped a pilot test of the systematic review process. Through searches of PubMed (December 4, 2007), we sought English-language reports of population-based studies that provided prevalence and/or incidence data for a U.S. population. The strategy combined controlled vocabulary terms and text words for the individual conditions and for “prevalence” and “incidence.” We selected four conditions for the pilot study: growth hormone (GH) deficiency, hypercortisolism, polycystic ovarian disease/ syndrome, and osteopenia. The search for these conditions yielded fewer than 1000 PubMed entries each. The 1453 unique citations were im- ported into a database maintained in reference management software (ProCite; Thomson Corporation, Stamford, CT). Each article was inde- pendently screened for eligibility by two reviewers, first using title and abstract, and subsequently using full text. Disagreements concerning eligibility were resolved by consensus. Five reviewers were involved in the abstract-screening process. Inter-reviewer agreement was 95%, with K statistic = 0.42 [95% confidence interval (CI) 0.31-0.53] (where 0.41-0.60 = “moderate agreement,” 0.61-0.80 = “substan- tial agreement,” and 0.81-1.0 = “almost perfect agreement”). We excluded citations from further consideration if they met any of the following criteria: 1) were presented solely in abstract form; 2) pro- vided no original data (e.g. review, commentary); 3) did not contain

information about prevalence or incidence; 4) did not study a U.S. population; 5) did not address endocrine or metabolic disorders; 6) addressed endocrine or metabolic disorder not in our list; 7) were not population-based studies or population-based screening studies; or 8) used symptomatic or clinic populations.

Articles that were deemed either eligible or had unclear eligibility at the abstract screening stage were selected for full-text screening (n = 41). Overall, of 1453 abstracts screened, 10 (0.7% yield) articles were de- termined to be eligible. Using this pilot data, we projected that this strat- egy would result in 19,600 potentially relevant titles, requiring approx- imately 135 wk to complete systematic reviews for all 54 conditions with a low yield of eligible citations. Consequently, we abandoned the sys- tematic review strategy and developed a targeted strategy involving ex- pert informers and handsearching.

Expert informers and handsearching

We initially identified and contacted 38 domain experts. These individuals were asked to provide a list of relevant articles and were also asked to provide names of other experts who could offer addi- tional leads. We were directed to an additional 75 experts, for a total 113 experts (see Acknowledgments). Fifty percent of contacted ex- perts contributed. A total of 289 articles and 78 cohorts were sug- gested. All articles identified by the experts were screened at the full- text level using the same eligibility criteria as outlined for the pilot systematic review (Fig. 1).

We also completed handsearching of six textbooks in endocrinology (7-12), identifying 429 citations whose abstracts were screened to de- termine eligibility. Additional citations (n = 111) identified from the reference lists of selected articles were also screened at the abstract level. Finally, for each condition where no eligible articles had been identified by the experts or through handsearching (n = 15), we completed specific searches in PubMed and identified 682 citations.

To avoid double counting of multiple published studies from the same cohort, we developed a cohort-based system for identifying and abstracting information. If there were multiple articles for a condition, we selected articles with the most recent data, defined as reporting data from 1998 or after. If no article reported data from 1998 or after, we selected the article with the most recent data, broadest geographical coverage, and most relevant stratifications (i.e. sex, ethnicity, and age). We did not, however, select older articles that reported stratified data if a more recent article reported nonstratified estimates. Articles were not selected based on how the conditions were defined. Our goal was to select at least one article describing prevalence and/or incidence for each con- dition on our list.

From all sources, we identified a total of 2268 citations describing data from 164 separate study populations. At the full-text level, we excluded 302 of 619 articles. The primary reason for excluding articles from further consideration was that they addressed non-U.S. popula- tions (n = 72), they contained no original data (n = 64), or they were based on symptomatic or clinic populations (n = 45). After the screening process, there were 323 eligible articles describing data from 122 co- horts. After linking these articles with their cohorts, we applied the se- lection criteria specified above. The most frequent reasons for exclusion of articles were because they contained older data (n = 200) and because they provided less relevant stratifications (n = 24) compared with articles that were included. Eighty-two cohorts were automatically excluded because their associated article was excluded. Finally, we completed data abstraction for 70 articles reporting data on 39 conditions from 40 sep- arate cohorts (supplemental Table 3).

Results

Search results

Because we selected studies with the most current data, 54 of the 70 articles summarized in this review were published in

FIG. 1. Summary of searching, screening, and selection process.

HANDSEARCHING TEXTBOOKS 429 articles

HANDSEARCHING ARTICLES 111 articles

ABSTRACT SCREENING 540 articles

EXCLUDED 210 articles

EXPERTS 289 articles 78 cohorts

FULL-TEXT SCREENING 619 articles 164 cohorts

EXCLUDED

302 articles

- meeting abstract only (n=1)

- no original data (n=64)

- no information on incidence or prevalence (n=30)

- no US population (n=72)

PILOT 10 articles (6 unique)

ELIGIBLE FOR REVIEW 323 articles 122 cohorts

- does not address endocrine or metabolic disorders (n=24)

- addresses endocrine or metabolic disorders not in our list (n=25)

- not a population-based or screening study (n=21)

EXCLUDED

- used symptomatic or clinic population (n=45)

253 articles

- other (n=20)

- older data (n= 200 )

- less geographical coverage (n=1)

42 cohorts

- non-US population (n=11)

- less relevant stratifications provided (n= 24)

- no study identified (n=12)

- article(s) considered but excluded (n=19)

- other (n= 24)

- more than one reason (n= 4)

82 cohorts - associated with article excluded (n=82)

SELECTED 70 articles 40 cohorts

2000 or later. Of the 70 articles reviewed, 51% (36 articles) reported data from eight major U.S. population-based studies: the Rochester Epidemiology Project (Olmsted County, MN; n = 9), the Third National Health and Nutrition Examination Survey III (NHANES-III; n = 6), later NHANES surveys (con- tinuous NHANES 1999+; n = 8), the Behavior Risk Factor Surveillance System (BRFSS; n = 4), the Surveillance, Epide- miology, and End Results Program (SEER; n = 3), the Pitts- burgh Diabetes Mellitus Study (n = 2), the SEARCH for Diabetes in Youth Study (n = 2), and the Nurses’ Health Study (n = 2).

Of the 70 articles meeting our inclusion criteria, 42 contained recent prevalence data for the following categories of endocrine disorders: hypothalamic-pituitary disorders (n = 2), thyroid dis- orders (n = 3), female and male endocrine disorders (n = 4), calcium and metabolic bone disorders (n = 7), diabetes mellitus and associated conditions (n = 22), dyslipidemias (n = 3), and obesity (n = 3). Some articles provided data on multiple condi- tions. We did not identify any articles summarizing the preva- lence of adrenal disorders and other endocrine tumors (islet cell and carcinoid tumors).

Thirty-one of our 70 articles contained incidence (risk) data for the following categories of endocrine disorders: hypothalam ic-pituitary disorders (n = 1), thyroid disorders (n = 7), adrenal disorders (n = 2), female and male endocrine disorders (n = 2), calcium and metabolic bone disorders (n = 5), carcinoid tumors (n = 1), and diabetes mellitus and associated conditions (n = 13). We did not identify articles that contained incidence data for dyslipidemias and obesity.

Article characteristics

Among the 70 articles, U.S. data were primarily presented at the national level (n = 22), followed by state (n = 9), county (n = 10), city (n = 13), multiple levels (n = 10), and other/not specified (n = 6). Fifty- three percent of articles reported receiving study funding through the National Institutes of Health or the Centers for Disease Control; however, the source of funding was unspecified for 31% of the articles.

Summary of prevalence and incidence by category of endocrine disorders

Wherever available, we report prevalence and in- cidence estimates for the overall population, as well as estimates stratified by sex, ethnicity [non-Hispanic whites (Whites), non-Hispanic Blacks (Blacks), His- panics, Native Americans, and Asian Americans (Asians)], and/or age. Unless otherwise stated, we have reported crude estimates. Where possible, we have pro- vided 95% CI for estimates and P values for differences in estimates.

Hypothalamic-pituitary disorders

We found one article reporting the prevalence of GH deficiency and one reporting the prevalence and incidence of all pituitary tumors. We did not find articles with estimates of prevalence or incidence data for diabetes insipidus, hypogonadotropic hy- pogonadism, or specific subcategories of pituitary tumors (i.e. nonsecretory and secretory).

GH deficiency. The prevalence of GH deficiency was 2% in fe- males and 3% in males in the Utah Growth Study (13) (Table 1). We did not identify articles reporting the incidence of GH deficiency.

Pituitary tumors. In the Cardiovascular Health Study, the preva- lence of pituitary tumors in elderly adults (≥65 yr of age) was 0.16% (14). Data from the Central Brain Tumor Registry of the United States found the overall age-adjusted incidence of pituitary tumors to be 0.9 per 100,000 person-years (py). Incidence rates were similar for Blacks, Whites, and both sexes (15) (Table 2).

Thyroid disorders

There were three articles reporting the prevalence of thyroid disorders (hypothyroidism, autoimmune thyroiditis, thyroid nodules, benign nodular goiter, and hyperthyroidism) and seven articles reporting the incidence of various thyroid disorders (au- toimmune thyroiditis, thyroid nodules, hypothyroidism, Graves’ ophthalmopathy, lymphocytic/postpartum thyroiditis, granulo- matous/subacute thyroiditis, and thyroid cancer).

Hypothyroidism. In NHANES-III individuals (≥12 yr of age), the overall prevalence of hypothyroidism was 4.6%. Although the prevalence in Whites, Hispanics, and other ethnicities was similar to the overall prevalence, the prevalence in Blacks was lower at 1.7% (16). We did not find population-based data on hypothyroidism incidence.

TABLE 1. Prevalence data for endocrine and metabolic disorders
Condition Ref.Condensed definitionCohortRegionTotal no.Mean age and/ or range (yr)
HYPOTHALAMIC-PITUITARY DISORDERS
GH deficiency 13GH deficiency confirmed if peak GH failed to reach 10 ng/ml with two back-to-back provocative testsUtah Growth StudyState79,495 (51.2% M, 48.8% F)NS
Pituitary adenoma 14Pituitary masses presumed to be pituitary adenomasCardiovascular Health Study (CHS)County and city5,88865-
THYROID DISORDERS
Hypothyroidism16Clinical hypothyroidism: TSH > 4.5 mlU/liter and T4 < 57.9 nmol/liter. Subclinical hypothyroidism: TSH 4.5 mlU/liter and T4 ≥ 57.9 nmol/literNHANES-IIINational17,35312 -
Autoimmune thyroiditis 17Diffusely enlarged, nontender thyroid; firm, pebbly, or nodular, asymmetric or symmetricOther: Utah, Nevada, Arizona, 1965-1968 and 1985-1986State3,122 (47.6% M, 52.4% F)11-18
Thyroid nodules 17An area of thickening that, on palpation, had a different consistency than the remainder of the thyroid glandOther: Utah, Nevada, Arizona, 1965-1968 and 1985-1986State3,122 (47.6% M, 52.4% F)11-18
Benign nodular goiter (multinodular goiter) 18Multiple thyroid nodules that were palpable on physical examinationOther: Middletown, CT, Middlesex Memorial Hospital, 1975-1976, annual physicalCity1,544 (49.7% M, 50.3% F)NS
Hyperthyroidism 16Clinical hyperthyroidism: TSH < 0.1 mlU/liter and T4 ≥ 169.9 nmol/liter. Subclinical hyperthyroidism: TSH < 0.1 mlU/liter and T4 < 169.9 nmol/literNHANES-IIINational17,35312 -
FEMALE AND MALE ENDOCRINE DISORDERS
Polycystic ovarian syndrome 281) Ovulatory dysfunction; 2) clinical hyperandrogenism (i.e. hirsutism) and/or hyperandrogenemia; AND 3) exclusion of other known disordersOther: Birmingham, AL, 1998-1999, prospective female employees at University of AlabamaOther400 (100% F)18-45
Hirsutism 28A Ferriman-Gallwey score of 6 or moreOther: Birmingham, AL, 1998-1999, prospective female employees at University of AlabamaOther400 (100% F)18-45
Erectile dysfunction 29"Sometimes able" or "never able" to have an erection sufficient for sexual intercourseNHANES (2001-2002)National2,126 (100% M)44 (20-)
Erectile dysfunction 30Self-report of poor or very poor erection ability in previous 3 monthsHealth Professionals' Follow-up Study (HPFS)National31,742 (100% M)53-90
Gynecomastia 32NSOther: Ohio, adolescent boys, schoolsUnclear377 (100% M)10-15
CALCIUM AND METABOLIC BONE DISORDERS
Osteoporosis 35Low femoral bone density > 2.5 SD below the young reference meanNHANES-IIINational6,401 (53.0% M, 47.0% F)50 -
Osteoporosis 36BMD T-score ≤ 2.5 SD below the average for the reference populationNational Osteoporosis Risk Assessment Study (NORA)State200,160 (100% F)64.5 (50-104)
Osteoporosis 37BMD T-score <- 2.5 SD below the meanOther: Milwaukee, WI, Black females, 2002-2003City150 (100% F)54.1 (45-79)
Osteoporosis 38BMD of 2.5 or more SD below that of a young normal adultOther: New York City (Chinatown area), Chinese immigrant femalesCity300 (100% F)63

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Prevalence estimate (SE, 95% Cl) in %Age stratification available?Other stratifications available
OverallMalesFemalesWhitesªBlacksªHispanicsNative AmericansAsians
32No
0.16No
4.65.11.74.1NoSymptoms (clinical, subclinical hypothyroidism), population subtype (total population-not pregnant and not taking estrogen, population self-reporting thyroid disease/goiter/taking thyroid medication, disease-free population)
5.13NoState (AZ, UT, NV), Phase | (1965-1967)
2.33NoState (AZ, UT, NV), Phase | (1965-1967)
0.840.11.61.10.7NoSymptoms (clinical, subclinical hypothyroidism), population subtype (total population-not pregnant and not taking estrogen, population self-reporting thyroid disease/goiter/taking thyroid medi- cation, disease-free population)
1.31.4No
6.64.88No
18.56.85.48.1No
1916.215.7YesDiabetes mellitus status, obesity status, heart disease status, hypertension status, smoking status
YesAmong males without prostate cancer
48.551.146NoEthnicity by pubic hair stage
6 (5-7)NoSex by ethnicity, prevalence in males using female cutoffs, and prevalence in females
7.2NoSite (hip, spine, rib, wrist, and forearm)
9.3 (5.6-15)No
55NoSite (lumbar spine, femoral neck, trochanter), site by age, origin of females (from Mainland China or Hong Kong)

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TABLE 1. continued
Condition Ref.Condensed definitionCohortRegionTotal no.Mean age and/ or range (yr)
CALCIUM AND METABOLIC BONE DISORDERS, continued
Osteopenia 35Low femoral bone density 1-2.5 SD below the young reference meanNHANES-IIINational6,401 (53.0% M, 47.0% F)50 -
Osteopenia 36BMD T-score between 1.0 and 2.5 SD below the average for the reference populationNational Osteoporosis Risk Assessment Study (NORA)State200,160 (100% F)64.5 (50-104)
Osteopenia 37BMD T-score between 1 and 2.5 SD below the meanOther: Milwaukee, WI, Black females, 2002-2003City150 (100% F)54.1 (45-79)
Osteopenia 38BMD of between 1 and 2.5 SD below that of a "young normal" adultOther: New York City (Chinatown area), Chinese immigrant femalesCity300 (100% F)63
Vitamin D deficiency (mild- moderate hypovitaminosis D) 39Serum 25(OH)D3 of 25-70 nmol/literNHANES-IIINational15,390 (47.3% M, 52.7% F)18-
Vitamin D deficiency (severe hypovitaminosis D) 39Serum 25(OH)D3 of < 25 nmol/literNHANES-IIINational15,390 (47.3% M, 52.7% F)18-
Paget's disease 40Pelvic radiographs: expansion of bone size, thickened/disorganized trabeculae, thickened/expanded cortex, osteosclerosis, deformityNHANES-INational3,936 (66.9% M, 33.1% F)25-74
Renal stones 42Self-reported history of kidney stonesNHANES-IIINational16,105 (47.2% M, 52.8% F)20-74
DIABETES AND ASSOCIATED DISORDERS
Diabetes mellitus (overall) (diagnosed diabetes)1Self-report of ever being told that they have diabetesNHANES (1999-2002)National4,72120 -
Diabetes mellitus (overall) (undiagnosed diabetes)1Fasting plasma glucose ≥ 7.0 mmol/literNHANES (1999-2002)National4,72120 -
Diabetes mellitus (overall) 2Diagnosed diabetesBehavioral Risk Factor Surveillance System (BRFSS)State and otherNSNS
Diabetes mellitus (overall) 45Report of ever being told of having diabetes and/or use of oral hypoglycemic medications or insulin or 1997 American Diabetes Association criteria *Health, Aging and Body Composition Study (Health, ABC)City2,683 (48% M, 52% F)70-79
Diabetes mellitus (overall) 52Self-report of ever being told that they have diabetesBehavioral Risk Factor Surveillance System (BRFSS)State and otherNSNS
Diabetes mellitus (overall) 46Medical record review indicating physician-diagnosed diabetesSEARCH for Diabetes in Youth StudyState3,499,846 (51.1% M, 48.9% F)-19
Diabetes mellitus (overall) 47Self-reported diagnosed diabetes (NHIS)National Health Interview Survey (NHIS)National242,95718-84
Diabetes mellitus (overall) 51Self-reported physician-diagnosed diabetes or HbA1c ≥ 7.0%Proyecto Vision, Evaluation, and Research (Proyecto VER)County4,744 (39% M, 61% F)40 -
Diabetes mellitus (overall) 53One or more outpatient visits or hospitalizations coded for diabetes (ICD-9 codes 250.0-250.9). Included secondary causes.Billings Area Indian Health Service DatabaseState22,881- 19

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Prevalence estimate (SE, 95% CI) in %Age stratification avaiable?Other stratifications available
OverallMalesFemalesWhitesªBlacksªHispanicsNative AmericansAsians
47 (45-50)NoSex by ethnicity, prevalence in males using female cutoffs, and prevalence in females
39.6NoSite (hip, spine, rib, wrist, and forearm)
23.3 (17.3-30.7)No
38NoSite (lumbar spine, femoral neck, trochanter), site by age, origin of females (from Mainland China or Hong Kong)
40.2950.73NoSex by ethnicity, sex by age
1,122.65NoSex by ethnicity, sex by age
0.79 (0.54- 1.11), 0.71 (0.46-1.04)^0.72 (0.45- 1.11), 0.59 (0.33-0.97)40.92 (0.50- 1.57), 0.99 (0.55-1.65)^YesSex by age, region of the United States
6.3 (0.56)4.1 (0.27)NoSex by ethnicity, sex by age, risk factor (diuretic use), region of the United States
6.5 (6-7.1), 6.5 (5.9- 7.2)A56.7 (6-7.5), 7 (6.1- 7.9)A,56.3 (5.6- 7.2), 6.1 (5.4-7)AS5.6 (5- 6.2), 5.2 (4.6-5.8)AS10.0 (8.5- 11.8),11.0 (9.5-12.7)As6.5 (5.4 -7.8), 10.4 (9.3-11.7)ASNoSex by ethnicity
2.8 (2.3- 3.5), 2.8 (2.3- 3.4)AS3.5 (2.7- 4.6), 3.6 (2.7- 4.7)A.S2.2 (1.6- 2.9), 2.1 (1.6- 2.8)AS2.9 (2.2- 3.7), 2.7 (2- 3.5)A.S3.3 (2.2- 5), 3.6 (2.5- 5.2)A.S1.8 (1.3- 2.6), 4.1 (2.6- 6.3)ASNoSex by ethnicity
8.5NoEthnicity, i.e. American Indians (1990)
24.25 (4.8-5.2)9.8 (9.2- 10.4)NoSex by ethnicity, ethnicity by education level, ethnicity by BMI, ethnicity by physical activity, ethnicity by health insurance cover- age, ethnicity by age by area of residence (5 states and Puerto Rico)
No
0.182 (0.178- 0.187)0.177 (0.171- 0.183)0.188 (0.182- 0.195)0.216 (0.210- 0.223)0.193 (0.179- 0.208)0.129 (0.121- 0.138)0.129 0.112- (0.150)0.083 (0.074- 0.094)YesEthnicity by age
6.5No
22YesSex by ethnicity by age, "Questionable Diabetes"
0.23No

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TABLE 1. continued
Condition Ref.Condensed definitionCohortRegionTotal no.Mean age and/ or range (yr)
DIABETES AND ASSOCIATED DISORDERS, continued
Diabetes mellitus (overall) 50NSIndian Health Service Outpatient DatabaseNationalNS- 35
Type 1 diabetes mellitus 53Age ≤ 5 yr, weight per age ≤ 15th percentile at diagnosis, or results of islet-cell antibody test positive after <1 yr diagnosisBillings Area Indian Health Service DatabaseState22,881- 19
Type 2 diabetes mellitus 53Weight per age at diagnosis ≥ 85th percentile, acanthosis nigricans, C-peptide or insulin elevated within 1 yr of diagnosis, family history of type 2 diabetes mellitus, oral hypoglycemic agents with or without insulin used at follow-up > 1 yr from diagnosis, or no current pharmacological treatment 1 yr after diagnosis.Billings Area Indian Health Service DatabaseState22,881- 19
Type 2 diabetes mellitus 55National Diabetes Data Group (NDDG) criteria **Other: Tucson, AR-IHS (Tohomo O'odham Indians), 1985-1986Other8,36318 -
Type 2 diabetes mellitus 56National Diabetes Data Group (NDDG) criteria **Japanese-American Community Diabetes StudyCounty229 (100% M)44-75
Type 2 diabetes mellitus 56World Health Organization (WHO) criteria *****Japanese-American Community Diabetes StudyCounty229 (100% M)44-75
Diabetic retinopathy 62Retinopathy in persons with definite diabetes mellitusLos Angeles Latino Eye Study (LALES)City1,217 (56.3% M, 43.7% F)40 -
Diabetic retinopathy (macular edema) 62Retinal thickening, with or without partial loss of transparency, within 1 disc diameter from the center of the macula (any macular edema)Los Angeles Latino Eye Study (LALES)City1,217 (56.3% M, 43.7% F)40 -
Diabetic retinopathy51Assessed on stereo fundus photographs on fields 1, 2 and 4. If at least one eye had evidence of diabetic retinopathy (DR), the subject was considered to have DR.Proyecto Vision, Evaluation, and Research (Proyecto VER)County4,744 (39% M, 61% F)40 -
Diabetic retinopathy (macular edema) 51Clinically significant macular edemaProyecto Vision, Evaluation, and Research (Proyecto VER)County4,744 (39% M, 61% F)40-
Diabetic retinopathy 61If any characteristic lesion as defined by the Early Treatment Diabetic Retinopathy Study severity scale was presentMulti-ethnic Study of Atherosclerosis (MESA)County and city778 (52.7% M, 47.3% F)45-85
Diabetic retinopathy (macular edema) 61Hard exudates in the presence of micro- aneurysms and blot hemorrhage within one disk diameter from the foveal center, or presence of focal photocoagulation scars in the macular area.Multiethnic Study of Atherosclerosis (MESA)County and city778 (52.7% M, 47.3% F)45-85
Diabetic nephropathy 64Abnormal serum creatinine levels in diabetics: men, >1.2 mg/dl; women, >0.9 mg/dlRochester Epidemiology Project, Olmsted County, MNCity380 (49% M, 51% F)NS
Diabetic neuropathy (peripheral insensate neuropathy) 66NSNHANES (1999-2002)National5,22940 -
Gestational diabetes 68A checked box on birth certificateOther: New York City Department of Health and Mental Hygiene, 1990-2001 (singleton deliveries)City110,340 (100% F)NS
Gestational diabetes 69Gestational diabetes mellitus was defined hierarchicallybSouthern California Kaiser Permanente Medical Care ProgramCounty175,249 (100% F)28.7 (13-58)

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Prevalence estimate (SE, 95% CI) in %Age stratification available?Other stratifications available
OverallMalesFemalesWhitesªBlacksªHispanicsNative AmericansAsians
1.14, 1.37A1.82, 2.02A1.49, 1.71AYesEthnicity by age
0.090.040.06Yes
0.070.150.11Yes
18G20G18.3YesSex by age
34.1NoSelf-reported status (diabetic or nondiabetic)
34.1NoSelf-reported status (diabetic or nondiabetic)
49.6 (45.4- 53.9)44.8 (40.9- 48.4)46.9 (44- 49.6)YesSeverity of NPDR (mild, moderate, severe, and proliferative DR), type of diabetes
9.8 (7.3- 12.3)10.8 (8.6- 13.3)10.4 (8 .- 12.2)YesClinically significant macular edema (CSME)
48NoDuration of diabetes, diabetic retinopathy signs, diabetic status
5.1NoNot clinically significant macular edema
33.234.431.824.836.737.425.7NoDiabetic medication, diabetes duration, serum glucose level, hypertension status, systolic BP, diastolic BP, BMI, waist-hip ratio, total cholesterol, marital status, cigarette smoking status
92.711.110.78.9NoClinically significant macular edema (CSME)
28, 31.2 (24.8- 37.5)ANoType of diabetes (adjusted)
21.2A25.2 (3.5)^24.1 (3.4)^23.7 (3.1)^26.5 (2.5)^No
3.8 (3.7-3.9)2.4 (2.2-2.5)3.1 (2.9-3.3)3.9 (3.8-4.1)7.4 (7.1-7.9)YesEthnic subdivisions (South Central Asian, Other Asian, Puerto Rican, Mexican, South Central Asian, etc.)
7.8 (0.16), 7.5 (0.06)45.3 (0.28), 4.9 (0.05)45.0 (0.44), 5.2 (0.06)48.5 (0.23), 8.6 (0.06)411.8 (0.57), 10.3 (0.07)4YesYear (1999 through 2004)

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TABLE 1. continued
Condition Ref.Condensed definitionCohortRegionTotal no.Mean age and/ or range (yr)
DIABETES AND ASSOCIATED DISORDERS, continued
Gestational diabetes 70Two or more glucose values for OGTT meet or exceed criteria for a positive test as defined by National Diabetes Group (1979)Kaiser Permanente of Colorado Screening Program (KPCO)State36,403 (100% F)27.9
Impaired fasting glucose 1Fasting plasma glucose 5.6 to 7.0 mmol/liter (2004 ADA definition)NHANES (1999-2002)National4,72120-
Impaired fasting glucose 72Fasting plasma glucose ≥ 100 mg/dl to ≤ 125 mg/dl (5.6 to 7.0 mmol/dl) (2004 ADA definition)NHANES (1999-2000)National915 (51.5% M, 48.5% F)15.3 (12-19)
Impaired glucose tolerance 732-h glucose 140-199 mg/dlNHANES-IIINational~34,00045-74
Metabolic syndrome (IDF definition)International Diabetes Foundation (IDF) criteria ***NHANES (1999-2002)National3,601 (50.7% M, 49.3% F)20 -
Metabolic syndrome (NCEP definition) 75National Cholesterol Education Program (NCEP) criteriaNHANES (1999-2002)National3,601 (50.7% M, 49.3% F)20 -
Metabolic syndrome (IDF definition) 3International Diabetes Federation (2007) criteria ***NHANES (1999-2004)National2,014 (52.5% M, 47.5% F)12-17
DYSLIPIDEMIAS
Hypercholesterolemia (definition 1)76Total cholesterol ≥ 240 mg/dl irrespective of treatmentNHANES (1999-2000)National3,601 (49.6% M, 50.4% F)20-74
Hypercholesterolemia (definition 2)76Total cholesterol ≥ 240 mg/dl or treatment with cholesterol medicationNHANES (1999-2000)National3,601 (49.6% M, 50.4% F)20-74
Hypertriglyceridemia 77Serum triglycerides ≥ 150 mg/dl (=1.69 mmol/liter)NHANES-IIINational8,814 (48.4% M, 51.6% F)20-
Hypertriglyceridemia 3Serum triglycerides ≥ 150 mg/dl (≥1.7 mmol/liter)NHANES (1999-2004)National2,014 (52.5% M, 47.5% F)12-17
Low HDL 77Serum HDL cholesterol < 40 mg/dl (<1.04 mmol/liter) in males and < 50 mg/dl (<1.29 mmol/liter) in femalesNHANES-IIINational8,814 (48.4% M, 51.6% F)20-
Low HDL 3Serum HDL cholesterol <40 mg/dl (<1.03 mmol/liter)NHANES (1999-2004)National2,014 (52.5% M, 47.5% F)12-17
OBESITIES
Obesity 78BMI ≥ 30.0NHANES (2003-2004)National8,389 (45.2% M, 54.8% F)2 -
Obesity 3Abdominal obesity defined using thresholds for waist circumference based on 90th percentiles from NHANES-III (1988-1994 data)NHANES (1999-2004)National2,014 (52.5% M, 47.5% F)12-17

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Prevalence estimate (SE, 95% Cl) in %Age stratification available?Other stratifications available
OverallMalesFemalesWhitesªBlacksªHispanicsNative AmericansAsians
3.145.5A5.446.84NoEthnicity by year (1994 through 2001)(age-adjusted)
26 (23.7- 28.5), 26 (23.8- 28.4)A,$32.6 (29.4- 36.1), 32.8 (29.8- 36)AS20 (17.9- 22.2), 19.5 (17.5- 21.7)AS27 (24.1- 30.2), 26.1 (23.4- 29.1)A.Ş16.8 (13.9- 20.1), 17.7 (14.8- 21)AS30.1 (26.7- 33.8), 31.6 (28.8- 34.5)A,5NoSex by ethnicity
7 (1.2, 4.9- 9.8)10 (1.9, 6.8-14.5), 9.6 (2, 6.3 -14.4)AS4 (1.6, 1.8-8.8), 4.2(2, 1.6- 10.6)A.S7 (1.8, 4.1-11.6), 7.5 (2, 4.3-12.6)4.54.2 (1.1, 2.5-7.1), 3.8 (1, 2.2-6.4)AS13 (2.1, 9.3-17.8), 11.3 (2, 7.9-16)A.SYesSex by age, BMI, waist-to-height ratio, (Sex, ethnicity, age-all adjusted for sex, ethnicity, age, and waist-to-height ratio)
17.1 (1.6)16.6 (2.2)17.7 (1.6)16.7 (1.7)13.7 (1.5)20.9 (2.5)NoSex by ethnicity
39 (1.1), 39.1 (1.0)439.9 (1.7), 40.7 (1.6)438.1 (1.2), 37.1 (1.3)4NoSex by ethnicity, sex by age, sex by ethnicity by age, risk factors (BMI, glucose status, hypertension, smoking status, total cholesterol, C-reactive protein concentration, coronary heart disease, myocardial infarction, angina pectoris) (Age-adjusted)
34.5 (0.9), 34.6 (0.9)433.7 (1.6), 34.4 (1.5)435.4 (1.2), 34.5 (1.4)4NoSex by ethnicity, sex by age, sex by ethnicity by age, risk factors (BMI, glucose status, hypertension, smoking status, total cholesterol, C-reactive protein concentration, coronary heart disease, myocardial infarction, angina pectoris) (Age-adjusted)
4.5 (0.6)6.7 (1.3)2.1 (0.6)4.5 (0.8)3 (0.7)7.1 (1.0)YesYear (1999-2000, 2001-2002, and 2003-2004)
17A,SNoBMI level
22.5ASNoBMI level
30.1 (1.1)A35.1 (1.7)A24.7 (0.9)A31.1 (1.3)^17.7 (0.8)^37.7(1.0)^No
8.9 (1.0)10.5 (1.6)7.3 (1.3)10.5 (1.5)3.6 (0.8)10.8 (1.1)Yes
37.1 (1.2)^35.2 (1.5)439.3 (1.4)^37.9 (1.5)^28.8 (1.3)436.8 (1.5)^No
22.6 (1.4)23.4 (1.9)21.8 (2.1)25.1 (2.0)14.4 (1.9)21.5 (1.6)Yes
YesEthnicity by age, sex by ethnicity by age, and for previous years (1999-2000 and 2001-2002)
28.6 (1.4)21 (1.7)36.5 (2.2)27.2 (2.1)29.3 (2.0)34.5 (1.9)Yes

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TABLE 1. continued
Condition Ref.Condensed definitionCohortRegionTotal no.Mean age and/ or range (yr)
DIABETES AND ASSOCIATED DISORDERS, continued
Obesity 4BMI ≥ 30.0Behavioral Risk Factor Surveillance System (BRFSS)State and other404,300 (38.5% M, 61.5% F)18-

A, Age-adjusted; S, sex-adjusted; G, data inferred from graph; NS, not specified; OGTT, oral glucose tolerance test; HbA1c, glycosylated hemoglobin; ADA, American Diabetes Association; BMI, body mass index; HDL, high density lipoprotein.

a”Whites” refers to non-Hispanic Whites and “Blacks” refers to non-Hispanic Blacks.

b1) At least two abnormal plasma glucose measurements during the 100-g, 3-h OGTT greater than or equal to the ADA Carpenter and Coustan threshold values; or 2) at least two abnormal values on the 75-g obstetric OGTT greater than or equal to the threshold values.

Criteria for diabetes mellitus: ** , National Diabetes Data Group (NDDG) criteria-plasma glucose thresholds: fasting, 5.8 mmol/liter (105 mg/dl); 1-h, 10.5 mmol/liter (190 mg/dl); 2-h, 9.1 mmol/liter (165 mg/dl); 3-h, 8.0 mmol/liter (145 mg/dl).

*, 1997 American Diabetes Association (ADA) criteria-fasting serum glucose levels of at least 7.0 mmol/liter (126 mg/dL), nonfasting glucose levels of at least 11.1 mmol/liter (200 mg/dl)

Criteria for metabolic syndrome: *** , International Diabetes Foundation (IDF) criteria-central adiposity plus two or more of the following factors: 1) raised concentra- tion of triglycerides: 150 mg/dl (1.7 mmol/liter) or specific treatment for this lipid abnormality; 2) reduced concentration of HDL cholesterol: 40 mg/dl (1.03 mmol/liter) in males and 50 mg/dl (1.29 mmol/liter) in females or specific treatment for this lipid abnormality; 3) raised blood pressure: systolic blood pressure 130 mm Hg or

TABLE 2. Incidence data for endocrine and metabolic disorders
Condition Ref.Condensed definitionCohortRegionTotal no.Mean age and/ or range (yr)Follow- up (yr)
HYPOTHALAMIC-PITUITARY DISORDERS
Pituitary tumors 15NSCentral Brain Tumor Registry of the United StatesNationalNSNS5
THYROID DISORDERS
Autoimmune thyroiditis 17Diffusely enlarged, nontender thyroid; firm, pebbly, or nodular, asymmetric or symmetricOther: Utah, Nevada, Arizona, 1965-1968 and 1985-1986State3,122 (47.6% M, 52.4% F)11-1820
Thyroid nodules 17An area of thickening that, on palpation, had a different consistency than the remainder of the thyroid glandOther: Utah, Nevada, Arizona, 1965-1968 and 1985-1986State3,122 (47.6% M, 52.4% F)11-1820
Hyperthyroidism (Graves' disease) 19Self-reported and validated with supplemental questionnaire in those without other thyroid disease. Definite: thyroid blood tests AND radioactive iodine (RAI) uptake consistent with Graves' disease or use of antithyroid drugs. Probable: thyroid blood tests OR RAI uptake consistent with Graves' disease and treated; clinical signs and lab tests consistent with Graves' but not treated.Nurses' Health StudyNational116,671 (100% F)25-4212
Graves' ophthalmopathy 20Eyelid retraction and objective evidence of thyroid dysfunction or abnormal regulation, exophthalmos, optic nerve dysfunction, or extraocular muscle involvementRochester Epidemiology Project, Olmsted County, MNCountyNSNS15
Lymphocytic (postpartum) thyroiditis 21Physician-defined: abnormal thyroid tests and/or enlarged thyroid glandOther: Marshfield, WI, Marshfield Clinic, 1981- 1982, immediate postpartum, womenOther238 (100% F)NS0.125
Subacute (granulomatous) thyroiditis 22Medical records: typical signs and symptoms, confirmed where possible by appropriate laboratory studiesRochester Epidemiology Project, Olmsted County, MNCounty72,350 (47.4% M, 52.6% F)NS8
Thyroid carcinoma 23Medical records: Hurthle cell carcinoma; papillary, follicular, medullary, or anaplastic thyroid carcinoma; or thyroid carcinoma not otherwise specifiedRochester Epidemiology Project, Olmsted County, MNCountyNS10 -10

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Prevalence estimate (SE, 95% CI) in %Age stratification available?Other stratifications available
OverallMalesFemalesWhitesªBlacksªHispanicsNative AmericansAsians
25.626.424.824.535.828.5YesSex by age, ethnicity by age, sex by education level, sex by region

diastolic blood pressure 85 mm Hg or treatment of previously diagnosed hypertension; and 4) raised fasting plasma glucose concentration 100 mg/dl (5.6 mmol/liter). The IDF lists the following ethnic group-specific thresholds for waist circumference to define central adiposity: Europid, sub-Saharan African males, and Eastern- and Middle-Eastern males, 94 cm; South Asian, Chinese, and ethnic South- and Central-American males, 90 cm; Japanese males, 85 cm; females except Japanese females, 80 cm; and Japanese females, 90 cm.

In this analysis, the following thresholds for waist circumference were used: White males, 94 cm; Black males, 94 cm; Hispanic males, 90 cm; White females, 80 cm; Black females, 80 cm; and Hispanic females, 80 cm. For participants whose designation was “other race-including multiracial,” thresholds that were once based on Europid cut points (94 cm for males and 80 cm for females) and once based on South Asian cut points (90 cm for males and 80 cm for females) were used. For participants who were considered “other Hispanic,” the IDF thresholds for ethnic South and Central Americans were used.

**** , National Cholesterol Education Program (NCEP) criteria-Three or more of the following: 1) abdominal obesity (waist circumference 102 cm in males and 88 cm in females); 2) concentration of triglycerides 150 mg/dl (1.7 mmol/liter); 3) concentration of HDL cholesterol 40 mg/dl (1.03 mmol/liter) in males and 50 mg/dl (1.29 mmol/liter) in females; 4) a systolic blood pressure 130 mm Hg or a diastolic blood pressure 85 mm Hg); and 5) fasting glucose: 100 mg/dl (5.6 mmol/liter).

Incidence estimate (SE, 95% CI)UnitAge strati- fication available?Other stratifications available
OverallMalesFemalesWhitesªBlacksªHispanicsNative AmericansAsians
0.9 (0.02)^0.93 (0.87- 1.00)A0.89 (0.83- 0.96)40.88 (0.83- 0.92)A0.95 (0.77- 1.13)^per 100,000 pyNoAge at diagnosis
46.4per 1,000 subjectsNoState (AZ, UT, NV), Phase | (1965-1967
21.1per 1,000 subjectsNoState (AZ, UT, NV), Phase | (1965-1967
4.6per 1,000 femalesNoSmoking status, BMI (hazard ratios)
2.91 (1.49- 4.34)^16.03 (12.89 -19.16)4per 100,000 pyNoSex by age, location (Rochester vs. rest of Olmsted County, MN) by sex by age
4.411.3%No
12.119.1per 100,000 pyYesYear (1960 through 1967)
7.1 (5.5- 8.8)AS5 (2.9- 7.2)A9.2 (6.7- 11.7)Aper 100,000 pyNoYear, sex by age, sex by year, sex by age by year ("year" = 1935-1949, 1950-1959, 1960-1969, 1970-1979, and 1980-1989)

***** , World Health Organization (WHO) criteria-Identical to NDDG criteria, except that values between 0 and 2 hours are ignored, and fasting plasma glucose <140 mg/dl is considered normal.

TABLE 2, continued
Condition Ref.Condensed definitionCohortRegionTotal no.Mean age and/ or range (yr)Follow- up (yr)
THYROID DISORDERS, continued
Thyroid carcinoma (any) 24Papillary, follicular, medullary, or anaplasticSurveillance, Epidemiology, and End Results (SEER) ProgramState and cityNSNS29
Thyroid carcinoma (papillary) 24International Classification of Diseases for Oncology, 3rd ed; ICD codes 8050, 8052, 8130, 8260, 8340-8344, 8450, 8452Surveillance, Epidemiology, and End Results (SEER) ProgramState and cityNSNS29
ADRENAL DISORDERS
Pheochromocytoma 25NSRochester Epidemiology Project, Olmsted County, MNCityNSNS30
Adrenocortical carcinoma 26Via SEER database (cases diagnosed at autopsy or by death certificate only were excluded)Surveillance, Epidemiology, and End Results (SEER) ProgramState and cityNSNS27
FEMALE AND MALE ENDOCRINE DISORDERS
Precocious puberty 27Breast development between 6 months and 8 yr of ageRochester Epidemiology Project, Olmsted County, MNCounty226,619 (100% F)NS45
Erectile dysfunction 31Self-reported through self-administered questionnaireMassachusetts Male Aging Study (MMAS)State847 (100% M)52.2 (40-69)8
CALCIUM AND METABOLIC BONE DISORDERS
Hypercalcemia (thiazide- associated) 33Medical records of sustained hypercalcemia; serum calcium > 10.1 mg/dl on 2 or more measurements with concomitant diuretic use for which no other cause was identifiedRochester Epidemiology Project, Olmsted County, MNCountyNSNS10
Primary hyperparathyroidism 34Medical records: a) histopathological proof of parathyroid adenoma or hyper- plasia; b) hypercalcemia with inappropri- ately elevated PTH; or c) hypercalcemia lasting > 1 yr for which no other cause was identified. Excluded individuals with familial benign hyperplasia.Rochester Epidemiology Project, Olmsted County, MNCityNSNS9
Osteoporosis 36BMD T-score ≤ 2.5 SD below the average for the reference populationNational Osteoporosis Risk Assessment Study (NORA)State200,160 (100% F)64.5 (50-104)1
Osteopenia 36BMD T-score between 1.0 and 2.5 SD below the average for the reference populationNational Osteoporosis Risk Assessment Study (NORA)State200,160 (100% F)64.5 (50-104)1
Paget's disease 41Based on radiographic findings or expert review of radiographic findings, clinical features, and laboratory resultsRochester Epidemiology Project, Olmsted County, MNCountyNSNS45
Renal stones 43Self-reported history of kidney stonesNurses' Health StudyState96,245 (100% F)25-428
OTHER ENDOCRINE TUMORS
Carcinoid tumors 44Carcinoid-related ICD for Oncology 2nd ed. codesSurveillance, Epidemiology, and End Results (SEER) ProgramState and CityNSNS26
DIABETES AND ASSOCIATED DISORDERS
Diabetes mellitus (overall) 47Self-reported diabetes based on age at time of survey and answer to question, "How old were you when a doctor first told you that you had diabetes or sugar diabetes?"National Health Interview Survey (NHIS)National242,95718-848
Diabetes mellitus (overall) 48Answered "yes" to the question: "Have you ever been told by a doctor that you have diabetes?"Behavioral Risk Factor Surveillance System (BRFSS)NationalNS18 -3

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Incidence estimate (SE, 95% CI)UnitAge strati- fication available?Other stratifications available
OverallMalesFemalesWhitesªBlacksªHispanicsNative AmericansAsians
8.7Aper 100,000 pyNo
7.7Aper 100,000 pyNo
0.8per 100,000 pyNo
0.72Aper millionNo
3.5per 100,000 pyNo
2,590 (2,250- 2,990)per 100,000 pyYesEducation, income, dia- betes status, heart disease status, hypertension status, smoking status (all also age adjusted)
7.7 (5.9-9.5)4,50.9 (0-1.8)^13.5 (10.3-16.8)4per 100,000 pyYesSex by age, year (1992 through 2001)
21.6A.S13.8428.4Aper 100,000 pyYesSex by age
3,470 (16)per 100,000 pyNoFracture site (hip, spine, rib, wrist, and forearm)
1,550 (44)per 100,000 pyNoFracture site (hip, spine, rib, wrist, and forearm)
9.2AS12.7A7.04per 100,000 pyYesSex by age
Yes
NoSex by ethnicity, tumor site (years 1969-1971 and 1973-1991)
6.6per 1,000 subjectsNoBMI
9.0 (8.6-9.4), 9.1 (8.7-9.5)4per 1,000 subjectsNoState (33 states), region (Northeast, Midwest, South, West)

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TABLE 2, continued
Condition Ref.Condensed definitionCohortRegionTotal no.Mean age and/ or range (yr)Follow- up (yr)
DIABETES AND ASSOCIATED DISORDERS, continued
Diabetes mellitus (overall)49Self-report or 1997 American Diabetes Association criteriabCoronary Artery Risk Development in Young Adults Study (CARDIA)City2,408 (100% F)18-3020
Type 1 diabetes mellitus 54Medical recordsSEARCH for Diabetes in Youth StudyStateNS201
Type 2 diabetes mellitus 57Fasting plasma glucose ≥ 7.0 mmol/liter at a Framingham Offspring Study examination or treatment with either insulin or a hypoglycemic agentFramingham StudyCity3,104 (48.9% M, 51.1% F)47 (40-55)8
Type 2 diabetes mellitus 581997 American Diabetes Association criteriabAtherosclerosis Risk in Communities Study (ARIC)County and city12,107 (44.1% M, 55.9% F)45-649
Type 2 diabetes mellitus 59Self-report and taking oral hypoglycemic medication or insulin, or if the fasting plasma glucose was ≥ 7.0 mmol/liter or the 2-h value was ≥ 11.1 mmol/literJapanese-American Community Diabetes StudyCounty520 (56.2% M, 43.8% F)NS6-10
Type 2 diabetes mellitus 60WHO criteria (2-h plasma glucose concentration ≥ 11.1 mmol/liter) or diagnosis during routine medical careOther: Gila River Indian Community (including Pima Indians)Other890 (38.3% M, 61.7% F)33.34.1
Type 2 diabetes mellitus 54Medical recordsSEARCH for Diabetes in Youth StudyStateNS20 -1
Diabetic retinopathy (proliferative) 63Determined by stereoscopic fundus photography and grades > 60 on the modified Arlie House system; or laser therapy for proliferative retinopathyPittsburgh Diabetes Mellitus StudyCity658 (50.6% M, 49.4% F)28.7 (18-)10
Diabetic nephropathy (end-stage renal disease) 65Treatment for end-stage renal disease among persons with diabetesUnited States Renal Data System (USRDS)NationalNSNS12
Diabetic nephropathy (overt) 63An albumin excretion rate of > 200 µg/ml or end-stage renal disease (renal dialysis or transplant)Pittsburgh Diabetes Mellitus StudyCity658 (50.6% M, 49.4% F)28.7 (18-)10
Diabetic neuropathy (cardiac autonomic neuropathy) 67Abnormal expiration/inspiration ratio during deep breathing (≤1.1) in type 1 diabeticsPittsburgh Diabetes Mellitus StudyCity658 (50,6% M, 49.4% F)25-344.7
Gestational diabetes 71Hospital discharge diagnosis (ICD-9 Code 648.8); OR laboratory-documented hyperglycemia“Northern California Kaiser Permanente Medical Care ProgramOther211,353 (100% F)15-491
Impaired glucose tolerance (glucose intolerance) 741. Treatment with insulin or oral hypo- glycemic agents. 2. Record of blood glucose test ≥ 205 mg/dl of 1 h post challenge or 140 mg/dl or higher at 2 h.Framingham StudyNational5,082 (44.7% M, 55.3% F)33-6714

A, Age-adjusted; S, sex-adjusted; G, data inferred from graph; NS, not specified; M, male; F, female; BMI, body mass index; BMD, bone mineral density; WHO, World Health Organization.

ªWhites, Non-Hispanic Whites; Blacks, non-Hispanic Blacks.

b 1997 American Diabetes Association (ADA) criteria: fasting serum glucose levels of at least 7.0 mmol/liter (126 mg/dl), nonfasting glucose levels of at least 11.1 mmol/liter (200 mg/dl).

At least two plasma glucose measurements during the 100-g, 3-h oral glucose tolerance test (OGTT) at or higher than cutoffs recommended by the ADA and American College of Obstetricians and Gynecologists; 2-h postprandial plasma glucose or random plasma glucose ≥ 200 mg/dl according to ADA; or fasting plasma glucose ≥ 126 mg/dl or 2-h plasma glucose after 75-g OGTT ≥ 140 mg/dl according to WHO criteria.

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Incidence estimate (SE, 95% CI)UnitAge strati- fication available?Other stratifications available
OverallMalesFemalesWhitesªBlacksªHispanicsNative AmericansAsians
450per 100,000 pyNoBaseline and interim parity, baseline and interim parity by family history of diabetes
YesEthnicity by age
5.83.7%No
NoEthnicity by gender
NoSex by generation (1st or 2nd generation Japanese- Americans)
16%No
YesEthnicity by age
72.9270AG200AG390AG300AG%No
232A210AGper 100,000 persons with diabetesNoYear (1990, 1996, 1997)
12.3%No
5,900per 100,000 pyNo
7.2 (0.15), 6.9 (0.15)46.1 (0.13), 5.7 (0.20)A5.8 (0.05), 6.4 (0.55)47.6 (0.11), 8.3 (0.35)410.9 (0.11), 9.7 (0.44)^%YesYear (1991 through 1999)
6.75.5%NoSex by age

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Autoimmune thyroiditis. In a population-based study including participants from Utah, Nevada, and Arizona, the overall preva- lence of thyroiditis was 5.13%; and in that same study, the overall incidence of thyroiditis was 46.4 per 1000 subjects during 20 yr (17).

Thyroid nodules. The above article also reported a prevalence of palpable thyroid nodularity of 2.33% and an incidence of 21.1 per 1000 subjects during 20 yr (17).

Benign nodular goiter. In a population-based study in Connect- icut, the overall prevalence of multinodular goiter was 0.84%, with a higher prevalence in females (1.6%) compared with males (0.1%) (18). We did not find data on the incidence of benign nodular goiter.

Hyperthyroidism. In NHANES-III individuals (≥12 yr of age), the overall prevalence of hyperthyroidism was 1.3%, with the lowest prevalence among Hispanics and other ethnicities (0.7% each) and highest among Whites (1.4%) (16). In the Nurses’ Health Study, the overall incidence of hyperthyroid Graves’ dis- ease was 4.6 per 1000 females during 12 yr (19). We did not find comparable incidence data for males.

Graves’ ophthalmopathy. In the Rochester Epidemiology Project, the age-adjusted incidence of Graves’ ophthalmopathy was more than five times greater in White females (16 per 100,000 py) than males (2.9 per 100,000 py) (standardized rate ratio = 5.5; 95% CI, 3.3-9.3) (20). This article also included data stratified by age-sex subgroups. We did not find prevalence data for this condition.

Lymphocytic (postpartum) thyroiditis. In a group of women in the immediate postpartum stage in a Marshfield, Wisconsin, clinic, the incidence of postpartum thyroiditis was reported to be 11.3% during 1.5 months (21).

Subacute (granulomatous) thyroiditis. The Rochester Epidemi- ology Project also reported data on the incidence of subacute thyroiditis, which was 12.1 per 100,000 py, and higher in females (19.1 per 100,000 py) than in males (4.4 per 100,000 py) (22). The incidence of subacute thyroiditis was highest in young adulthood (24 per 100,000 py for ages 30-40 yr) and middle age (35 per 100,000 py for ages 40-50 yr), declining with increasing age (22).

Thyroid cancer. Two articles reported the overall incidence of thyroid cancer, which was 7.1 per 100,000 py during 10 yr in the Rochester Epidemiology Project (23) and 8.7 per 100,000 py during 29 yr in SEER, a population-based study that included participants from Connecticut, Hawaii, Iowa, New Mexico, and Utah (24). In the Rochester Epidemiology Project, there was a higher incidence in females (9.2 per 100,000 py) compared with males (5 per 100,000 py) during 10 yr from 1990 to 1999 (23).

Adrenal disorders

We found one article each that reported the incidence of pheo- chromocytoma and adrenocortical carcinoma; however, there

were no articles that reported the prevalence of these conditions. We did not identify U.S. population-based studies reporting the prevalence of aldosteronoma, hypercortisolism, adrenal insuffi- ciency, or adrenal mass.

Pheochromocytoma. In the Rochester Epidemiology Project, the overall incidence of pheochromocytoma was 0.8 per 100,000 py during 30 yr in Whites (25).

Adrenocortical carcinoma. The overall age-adjusted incidence of adrenocortical carcinoma using data from the SEER Program was reported as 0.72 per million individuals during 27 yr (26).

Female and male endocrine disorders

There were four articles that reported the prevalence of fe- male and male endocrine disorders (polycystic ovarian disease, hirsutism, erectile dysfunction, gynecomastia) and two articles reporting the incidence of these disorders (precocious puberty and erectile dysfunction). We were unable to identify U.S. population- based data on the prevalence and incidence of delayed puberty, hypogonadism, or infertility for either sex.

Precocious puberty. In the Rochester Epidemiology Project, the incidence of precocious puberty in females was reported as 3.5 per 100,000 py during 45 yr (27). We did not identify compa- rable information for males or data on the prevalence of this disorder.

Polycystic ovarian disease/syndrome (PCOS). In a study of pro- spective employees of the University of Alabama, the overall prevalence of PCOS was 6.6%, being higher in Black (8.0%) compared with White (4.8%) females (difference not statistically significant, P > 0.05) (28). We did not identify data on the in- cidence of PCOS.

Hirsutism. The above article reporting the prevalence of PCOS also determined the prevalence of hirsutism, which was 6.8%, being higher in Blacks (8.1%) compared with Whites (5.4%) (P > 0.05) (28).

Erectile dysfunction. Two articles reported prevalence and one article reported incidence of erectile dysfunction. Among NHANES (2001-2002) males, the overall prevalence of erectile dysfunction was 18.5% (29). Prevalence was higher in Whites (19.0%) compared with Blacks (16.2%) and Hispanics (15.7%) (differences not statistically significant, P > 0.05). The preva- lence increased with age, peaking at 77.6% among males 75 yr of age or older (29). In the Health Professionals’ Follow-Up Study, the age-adjusted prevalence of erectile dysfunction in males without prostate cancer was 33% (30). The prevalence increased with age, from 10% in males 53-59 yr of age to 60% in males 80-90 yr of age (30). In the Massachusetts Male Aging Study, the incidence of erectile dysfunction was reported as 2,590 per 100,000 py during 8 yr, and as expected, it increased with age, being 1,240 per 100,000 py in males ages 40-50 yr and 4,640 per 100,000 py in males ages 60-70 yr (31).

Gynecomastia. In a study of adolescent males in Ohio schools, the overall prevalence of gynecomastia was 48.5% and was slightly higher in Whites (51.1%) compared with Blacks (46.0%) (statistical information not provided) (32). We did not find data on the incidence of gynecomastia.

Calcium and metabolic bone disorders

There were seven articles reporting prevalence data for cal- cium and metabolic bone disorders (osteoporosis, osteopenia, vitamin D deficiency, Paget’s disease, renal stones) and five ar- ticles reporting incidence of calcium and metabolic bone disor- ders (hypercalcemia, primary hyperparathyroidism, osteoporo- sis, osteopenia, Paget’s disease, renal stones). We did not find U.S. population-based studies that reported prevalence or inci- dence data for hypoparathyroidism.

Hypercalcemia. In the Rochester Epidemiology Project, the age- and sex-adjusted incidence of thiazide-induced hypercalcemia was 7.7 per 100,000 py during 10 yr, with a statistically signif- icantly higher incidence among females (13.5 per 100,000 py; 95% CI, 10.3-16.8) compared with males (0.9 per 100,000 py; 95% CI, 0.0-1.8; P < 0.001) (33). The incidence increased with age, reaching a peak of 33.8 per 100,000 py at ages 70-80 yr (33).

Primary hyperparathyroidism. Also in the Rochester Epidemi- ology Project, the age- and sex-adjusted incidence of primary hyperparathyroidism was 21.6 per 100,000 py during 9 yr in Whites, with a twice higher incidence in females (28.4 per 100,000 py) compared with males (13.8 per 100,000 py) (34). The incidence increased with age, reaching a peak of 63.2 per 100,000 py at ages 65-74 yr (34).

Osteoporosis and osteopenia. Four articles reported the preva- lence of osteoporosis and osteopenia and one article reported their incidence. Among males (≥50 yr old) in NHANES-III, the prevalence (using male cutoffs) of osteoporosis and osteopenia was 6 and 47%, respectively (35). For both osteoporosis and osteopenia, White males had the highest prevalence (7 and 48%, respectively). In the National Osteoporosis Risk Assessment Study, the prevalence of osteoporosis and osteopenia in females (≥50 yr old), was 7.2 and 39.6%, respectively (36). Among Black females (≥45 yr old) in Milwaukee, Wisconsin, the prev- alence of osteoporosis and osteopenia was 9.3 and 23.3%, re- spectively (37). Prevalence estimates were highest in Chinese im- migrant females (mean age = 63 yr) in New York, which reported an osteoporosis prevalence of 55% and osteopenia prevalence of 38% (38).

The incidence of osteoporosis and osteopenia was reported from the National Osteoporosis Risk Assessment Study (females ≥50 yr old) as 3,470 per 100,000 py and 1,550 per 100,000 py during 1 yr, respectively (36).

Vitamin D deficiency. Among adults from NHANES-III, the prevalence of mild-moderate vitamin D deficiency (serum 25- hydroxy-vitamin D of 25-70 nmol/liter or 10-28 ng/ml) was 40.3% in males and 50.7% in females, and the prevalence of severe vitamin D deficiency (serum 25-hydroxy-vitamin D of

<25 nmol/liter or <10 ng/ml) was 1.12% in males and 2.65% in females (39). In both sexes and for both degrees of severity of vitamin D deficiency, Whites had the lowest prevalence and Blacks had the highest (39). We did not identify any population- based study on the incidence of vitamin D deficiency.

Paget’s disease. One article reported the prevalence and one re- ported the incidence of Paget’s disease. In NHANES-I, the overall prevalence of Paget’s disease in adults was 0.79%. The prevalence was similar in males (0.72%) and females (0.92%) and increased with age, reaching a peak prevalence of 1.9% in individuals 65-74 yr of age (40). In the Rochester Epidemiology Project, the age- and sex-adjusted incidence of Paget’s disease was 9.2 per 100,000 py during 45 yr in Whites, with a significantly higher incidence in males (12.7 per 100,000 py; 95% CI, 10.4-14.9) compared with females (7.0 per 100,000 py; 95% CI, 5.6-8.3; P < 0.001) (41). The inci- dence increased with age and was highest, at 71.7 per 100,000 py, in those of age 85 yr or older (41).

Renal stones. One article each reported the prevalence and in- cidence of renal stones. In adults from NHANES-III, the prev- alence of renal stones was reported as 6.3% in males and 4.1% in females (42). In the Nurses’ Health Study, the incidence of renal stones was 206, 170, 156, and 198 per 100,000 py during 8 yr in individuals 27-34, 35-39, 40-44, and 44 yr of age or older, respectively (43).

Other endocrine tumors

We did not identify articles reporting the prevalence or inci- dence of islet cell tumors (i.e. gastrinomas, insulinomas, VIPo- mas, nonfunctioning neuroendocrine tumors). There was one article from the SEER Program database that reported the inci- dence of carcinoid tumors by sex-ethnicity subgroups, which was slightly higher among Blacks-3.98, 4.48, 2.58, and 2.47 per 100,000 py during 26 yr among Black females, Black males, White females, and White males, respectively [statistical infor- mation not provided (44)].

Diabetes and associated conditions

There were 22 articles reporting prevalence estimates for di- abetes and its associated conditions (diabetes overall, type 1 di- abetes only, type 2 diabetes only, diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, gestational diabetes, im- paired fasting glucose, impaired glucose tolerance, and meta- bolic syndrome) and 13 articles reporting incidence data (dia- betes overall, type 1 diabetes only, type 2 diabetes only, diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, and im- paired glucose tolerance).

Diabetes overall. There were eight articles that reported diabetes prevalence and three articles that reported diabetes incidence in U.S. population-based studies but did not specify type 1 or type 2 diabetes.

Prevalence and incidence in total U.S. population. In NHANES (1999-2002), the overall prevalence of diagnosed and undiag- nosed diabetes mellitus in adults over 20 yr of age was 6.5 and

2.8%, respectively (1). Similar estimates were obtained from the BRFSS, where the overall prevalence of self-reported diagnosed diabetes was 8.5% (2). In the Health, Aging, and Body Compo- sition Study, a cohort study of elderly individuals at least 70 yr of age, the prevalence of diagnosed diabetes was 24.2% (45). In the SEARCH for Diabetes In Youth Study, the prevalence esti- mate among children 19 yr of age or younger was 0.18% (46).

The incidence of diabetes among adults was 6.6 per 1000 participants during 8 yr using data from the National Health Interview Survey (47) and 9.0 per 1000 participants during 3 yr using data from the BRFSS (48). In the Coronary Artery Risk Development in Young Adults (CARDIA) Study, the incidence of diabetes among young adult females was 450 per 100,000 py during 20 yr (49).

Prevalence by sex. Three articles included data on diabetes prev- alence by sex, which was similar for males and females (1, 46, 50). In NHANES (1999-2002), the prevalence of diagnosed diabetes in adults over 20 yr of age was 6.3% for females and 6.7% for males, and the prevalence of undiagnosed diabetes was 2.2% for females and 3.5% for males (1). In the SEARCH Study, the prevalence of diabetes in females and males under the age of 19 yr was 0.19 and 0.18%, respectively (46). In a population-based study that only included Native Americans up to 35 yr of age, the prevalence of diabetes was 1.82% in females and 1.14% in males (50).

Prevalence by age. Three articles reported data on the prevalence of diabetes, which increased with age in children (46), young adult Native Americans (50), and middle and older age Hispanic adults (51).

Prevalence in Whites. Three articles reported the prevalence of diabetes in Whites in the United States. In adults from NHANES (1999-2002) (1) and from the BRFSS (52), the prevalence of diagnosed diabetes was approximately 5%, and the prevalence of undiagnosed diabetes was 2.9% (1). The prevalence was sim- ilar after adjustment for the age and sex distribution of the pop- ulation. In White children from the SEARCH study, the preva- lence of diabetes was 0.22% (46).

Prevalence in Black Americans. Among Black adults, the preva- lence of diagnosed and undiagnosed diabetes was 10.0 and 3.3%, respectively (NHANES 1999-2002) (1). Among Black children, the prevalence of diabetes was 0.19% in the SEARCH Study (46).

Prevalence in Hispanic-Americans. Among Hispanic adults in the United States, the prevalence of diagnosed diabetes was es- timated to range from 6.5 to 22% in three population-based studies (1, 51, 52). In NHANES (1999-2002), the prevalence of undiagnosed diabetes was 1.8% (1). The prevalence among His- panic children in the SEARCH Study was 0.13% (46).

Prevalence in Native Americans. Prevalence estimates of diabe- tes in Native Americans was reported from two articles using data from the Indian Health Service (IHS) as 0.23% for children under age 19 (Billings Area IHS Database) (53) and 1.49% for individuals under age 35 (IHS Outpatient Database) (50). The latter estimate was similar after age adjustment. Among Native

American children in the SEARCH study, the prevalence of di- abetes was estimated to be 0.13% (46).

Prevalence in Asian Americans. In the SEARCH Study, the prev- alence of diabetes in Asian children was reported to be 0.08% (46).

Type 1 diabetes mellitus. We identified one article that reported the overall prevalence of type 1 diabetes in Native American children in the Billings Area IHS Database, which was estimated to be 0.06% (53). In that article, the prevalence was slightly higher in males (0.09%) compared with females (0.04%) (sta- tistical information not provided) (53). The incidence estimates of type 1 diabetes, reported by age in the SEARCH Study, were 14.3, 22.1, 25.9, and 13.1 per 100,000 py during 1 yr for chil- dren aged 4 yr or younger, 5-9, 10-14, and 15-19 yr, respec- tively, indicating a peak in mid-to-late childhood and early ad- olescence (54).

Type 2 diabetes mellitus. Two articles reported the prevalence of type 2 diabetes in Native Americans, and one article reported its prevalence in Japanese-Americans. One article reported its prev- alence in Native American adults (among Tohomo O’odham Indians) to be 18.3%, with a slightly higher prevalence in females (20%) compared with males (18%) (statistical information not provided). The prevalence was reported to increase with age in both males and females, peaking in the age-group of 60-79 yr in both sexes (55). The prevalence of type 2 diabetes in Native American children in the Billings Area IHS Database was 0.11%, also with a slightly higher prevalence in females (0.15%) com- pared with males (0.07%) (statistical information not provided) (53). Among Japanese-American adults aged 44-75 yr, the prev- alence of type 2 diabetes was reported to be 34.1% when using either the World Health Organization definition or the National Diabetes Data Group definition (56).

Five articles reported incidence of type 2 diabetes mellitus. Among adults (40-55 yr old) from the Framingham study, the incidence of type 2 diabetes mellitus was reported to be 5.8% in males and 3.7% in females during 8 yr (57). In the Atheroscle- rosis Risk in Communities Study, Black females had the highest incidence of type 2 diabetes mellitus [2,510 per 100,000 py dur- ing 9 yr (58)]. Among second (Nisei) and third (Sansei)-genera- tion Japanese-Americans in King County, Washington, Nisei fe- males had the highest incidence of type 2 diabetes mellitus (19.2% during 6 yr) (59). In Native American adults from the Gila River Indian Community, the incidence of type 2 diabetes was 16% during 4.1 yr (60). Among children, the SEARCH Study reported incidence of type 2 diabetes of 0, 0.8, 8.1, and 11.8 per 100,000 py during 1 yr for children aged 4 yr or younger, 5-9, 10-14, and 15-19 yr, respectively, showing an increasing incidence with age (54).

Diabetic retinopathy. There were three articles reporting the prevalence of diabetic retinopathy. The overall prevalence of retinopathy among persons with diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA) was 33.2%, with males having a slightly higher prevalence (34.4%) than females (31.8%) (P = 0.42). Hispanics (37.4%) and Blacks (36.7%) had the highest

prevalence, whereas Whites had the lowest prevalence (24.8%) (statistical information not provided) (61). The other two studies reported even higher prevalence estimates in Hispanics: 46.9% in the Los Angeles Latino Eye Study (62), and 48% in the Proyecto Vision, Evaluation, and Research Study (51). The prev- alence of diabetic retinopathy was similar among males and fe- males and was highest in individuals aged 70-80 yr in the Los Angeles Latino Eye Study (51). These three articles also reported the prevalence of macular edema, which was 9.0% in the overall population, and 10.4% and 5.1% among Hispanics in the Los Angeles Latino Eye Study (62) and the Proyecto Vision, Evalu- ation, and Research Study (51), respectively. The prevalence was similar among males and females, highest (10.8 to 11.8%) in middle-age individuals, and lowest (3.3%) in individuals more than 80 yr of age (62).

One article (from the Pittsburgh Diabetes Mellitus Study) reported incidence of proliferative diabetic retinopathy of 72.9% during 10 yr among individuals with type 1 diabetes (63).

Diabetic nephropathy. We found one article (from the Rochester Epidemiology Project) that estimated the prevalence of diabetic nephropathy as 28.0% (64). Two articles reported the incidence of diabetic nephropathy. The United States Renal Data System article reported an age-adjusted incidence of 232 per 100,000 persons with diabetes during 12 yr, with a higher incidence in females (270 per 100,000 persons with diabetes) compared with males (210 per 100,000 persons with diabetes) (65). Blacks, fol- lowed by Hispanics, and Whites had the highest incidence (390, 300, and 200 per 100,000 persons with diabetes, respectively). The rate was reported to increase with age, with the highest incidence reported among 65-74 yr olds (405 per 100,000 per- sons with diabetes) (65). In the Pittsburgh Diabetes Mellitus Study, the incidence of diabetic nephropathy among individuals with type 2 diabetes was 12.3% during 10 yr (63).

Diabetic neuropathy. In NHANES (1999-2002) adults at least 40 yr of age, the age-adjusted prevalence of peripheral insensate neuropathy was 21.2%, with similar prevalence by sex (25.2% in males and 24.1% in females) and ethnicity (23.7% in Whites and 26.5% in Blacks) (66). In the Pittsburgh Diabetes Mellitus Study, the incidence of cardiac autonomic neuropathy in type 1 diabetic individuals was estimated as 5,900 per 100,000 py dur- ing 4.7 yr (67).

Gestational diabetes. Three articles reported the prevalence of gestational diabetes, and one article reported its incidence. The overall prevalence of gestational diabetes was estimated as 3.8% among pregnant females in the New York City Department of Health and Mental Hygiene database (68) and as 7.8% among pregnant females enrolled in the South California Kaiser Perma- nente Medical Care Program (69). In both of these studies, the prevalence of gestational diabetes increased with increasing age. All three articles reported the prevalence by ethnicity and found that the prevalence was consistently highest among Asian females (68-70).

Among females enrolled in the Northern California Kaiser Per- manente Medical Care Program, the incidence of gestational dia- betes was reported as 7.2% during 1 yr. The incidence over 1 yr was

highest among Asian females (10.9%) and lowest among Black (5.8%) and White females (6.1%) and increased with increasing age (2.7% among ages 15-24 vs. 13.3% among ages 35-49) (71).

Impaired fasting glucose. Two articles reported the prevalence of impaired fasting glucose using recent NHANES data. Among adults, the overall prevalence of impaired fasting glucose was 26% and was higher among males (32.6%) compared with fe- males (20.0%) (statistical information not provided) (NHANES 1999-2002) (1). Hispanic individuals had a similar prevalence (30.1%; 95% CI, 26.7-33.8) to Whites (27.0%; 95% CI, 24.1- 30.2) and higher prevalence than Blacks (16.8%; 95% CI, 13.9- 20.1) (1). Among adolescents, the prevalence of impaired fasting glucose was reported as 7%, and similar to adults, was higher among males (10%) compared with females (4%), although this did not achieve statistical significance (P> 0.05) (72). Prevalence was highest among Hispanic children (13%) (NHANES 1999- 2000) (72). We did not identify articles that reported the inci- dence of impaired fasting glucose.

Impaired glucose tolerance. One article reported the prevalence and one reported the incidence of impaired glucose tolerance. In NHANES-III adults between 45 and 74 yr of age, the overall prevalence was reported as 17.1% and was similar among males (16.6%) and females (17.7%). Hispanics had the highest prev- alence of impaired glucose tolerance (20.9%) (73). The incidence of glucose intolerance was reported among participants 33-67 yr of age from the Framingham Study as 6.7% among males and 5.5% among females during 14 yr (74).

Metabolic syndrome. Two articles reported the prevalence of metabolic syndrome using recent NHANES data. The overall prevalence in adults was 39% using the International Diabetes Federation (IDF) criteria and 34.5% using the National Choles- terol Education Panel (NCEP) criteria, respectively (NHANES 1999-2002) (75). Using both definitions, estimates were similar for males and females. Using the IDF criteria among children from NHANES (1999-2004), the overall prevalence was 4.5%, with a significantly higher prevalence in males (6.7%) compared with females (2.1%) (P = 0.006) (3). The prevalence was highest among Hispanic children (7.1%) and increased with age (3).

Dyslipidemias

Two articles reported the prevalence of dyslipidemias using recent NHANES data. We did not find data reporting the inci- dence of dyslipidemias.

Hypercholesterolemia. Among adults, the age- and sex-adjusted prevalence of hypercholesterolemia was 17% when defined as total cholesterol of at least 240 mg/dl irrespective of treatment and 22.5% when defined as total cholesterol of at least 240 mg/dl or treatment with cholesterol medication (NHANES 1999-2000) (76).

Hypertriglyceridemia. Among adults in NHANES-III, the over- all prevalence of hypertriglyceridemia was 30.1%, with a higher prevalence in males (35.1%) compared with females (24.7%)

(77). Hispanics had the highest prevalence of hypertriglyceride- mia (37.7%), whereas it was lowest in Blacks (17.7%) (77). Similar patterns were observed among children in NHANES (1999-2004), where the overall prevalence of hypertriglyceri- demia was 8.9%. There was a somewhat higher prevalence in male children (10.5%) compared with female children (7.3%) (P = 0.131) (3). Although the prevalence of hypertriglyceridemia was similar in White and Hispanic children (~10%), it was low- est in Black children (3.6%) (P < 0.001), and the prevalence increased with age (3).

Low high-density lipoprotein (HDL)-cholesterol. Among adults in NHANES-III, the overall prevalence of low HDL-cholesterol was 37.1%, and it was similar in males (35.2%) and females (39.3%) (77). Among children, the overall prevalence of low HDL- cholesterol was 22.6%, and it was similar in males (23.4%) and females (21.8%) (NHANES 1999-2004) (3). The prevalence was highest among older children (3). As with hypertriglyceridemia, the prevalence of low HDL-cholesterol was lowest among Black adults (28.8%) (77) and Black children (14.4%) (3).

Obesity

Three articles reported prevalence estimates for obesity. Among NHANES (2003-2004) adults, the prevalence of obesity was 32.2% (78). The most obese age group was 40-59 yr olds (36.8%). Overall, 45.0% of Blacks and 38.6% of Hispanics were obese. Although obesity estimates in males of all ethnicities were not significantly different from each other, Black (53.9%) and Hispanic (42.3%) females had higher obesity rates compared with White females (30.2%). This trend was reported in each age group (78). Among adults, the overall prevalence of obesity in the BRFSS was 25.6%, with similar prevalence in males and females (4). Whites had the lowest prevalence (24.5%), whereas Blacks had the highest prevalence (35.8%). The prevalence of obesity increased with age, reaching a peak (30.9%) at ages 50-59 yr; however, prevalence was lower (19.4%) in individuals at least 70 yr of age (4).

Among children in NHANES (1999-2004), the prevalence of obesity was 28.6%, with a significantly higher prevalence in female children (36.5%) compared with male children (21.0%) (P < 0.001). There was also an increase in the prevalence of obesity with age (3). Among all ethnicities, the obesity prevalence was greater than 25%, with Hispanic children having the highest prevalence (34.5%) (3). We did not identify U.S. population- based data on the incidence of obesity.

Discussion

Summary of findings

To our knowledge, this is the first comprehensive review of the epidemiology of all endocrine and metabolic disorders with data derived from population-based studies in the United States. Our review highlights the high prevalence estimates of several endocrine disorders posing significant public health burdens, each of which affects more than 5% of the overall U.S. adult population (supplemental Table 4). Depending on the specific

population studied, the most highly prevalent conditions among adults (non-ethnic-specific) were diabetes mellitus (6-22%), im- paired fasting glucose (7-26%), impaired glucose tolerance (17%), obesity (19-32%), metabolic syndrome (34-39%), os- teoporosis (7.2%) and osteopenia (39.6%) in women, osteopo- rosis (6%) and osteopenia (47%) in men, erectile dysfunction in males (18.5%), hypercholesterolemia (17%), low HDL-choles- terol (37%), hypertriglyceridemia (30%), and thyroiditis (5%). The endocrine disorders with the highest documented incidence estimates in the U.S. adult population were erectile dysfunction in men and osteopenia and osteoporosis in women, reflecting the aging of our population. Based on the articles included in our review, the least prevalent endocrine conditions, affecting less than 1% of the populations studied, were diabetes mellitus in children and pituitary adenomas. The conditions with the lowest recorded incidence were adrenocortical carcinoma, pheochro- mocytoma, and pituitary adenomas.

In population-based studies of individuals with self-reported diagnosed diabetes mellitus, secondary complications were also highly prevalent, with diabetic nephropathy occurring in 28%, diabetic retinopathy occurring in 47-48%, and peripheral neu- ropathy occurring in 21% of affected adults. Data from popu- lations of young adult and middle-aged females indicated that gestational diabetes, hirsutism, and PCOS affect 4-8% of fe- males in the United States. However, the most prevalent endo- crine conditions among females in the United States were osteo- porosis and osteopenia.

The prevalence and incidence of several metabolic and endo- crine conditions differed by sex. Impaired fasting glucose was more prevalent among males in two studies, whereas the prev- alence of impaired glucose tolerance and diabetes mellitus did not differ by sex. Although the prevalence of metabolic syn- drome and obesity in adults was similar by sex, the prevalence of metabolic syndrome was higher in male children compared with female children, and obesity was more prevalent in female chil- dren compared with male children. Primary hyperparathyroid- ism, thiazide-induced hypercalcemia, and vitamin D deficiency were also more common in females. The incidence of Paget’s disease was higher in males compared with females, although the prevalence was similar. For thyroid diseases, the incidences of Graves’ ophthalmopathy, thyroid carcinoma, and subacute thy- roiditis were all higher in females.

Obesity affected 28% of U.S. children ages 12 to 17 yr. The most prevalent endocrine disorder in boys was gynecomastia, which affected nearly 50% of male adolescents. The prevalence of diabetes mellitus was quite low among children, estimated at less than 1%; however, with the current high prevalence of obe- sity, the incidence and prevalence of type 2 diabetes in children and young adults are expected to rise.

The prevalence of type 2 diabetes increased with age in both adults and children. On the other hand, the incidence of type 1 diabetes reached a peak in mid-to-late childhood and early ad- olescence. Certain endocrine disorders affected young to middle- aged individuals, for example, with the prevalence of obesity reaching a peak prevalence in middle age (50-60 yr) and the incidence of subacute thyroiditis being highest in young adult- hood and middle age.

Several endocrine disorders affected certain ethnic groups more than others. The prevalence estimates of diabetes mellitus and obesity were highest among Black and Hispanic individuals. Hispanics had the highest prevalence of impaired fasting glucose and impaired glucose tolerance. Metabolic syndrome prevalence was lowest among Black children and highest among Hispanic children. Asian females had the highest prevalence and incidence of gestational diabetes. Blacks were least likely to have hyper- triglyceridemia, low HDL-cholesterol, and hypothyroidism.

Limitations to the current literature

Our review highlights several limitations to the current liter- ature regarding the epidemiology of endocrine and metabolic disorders. We identified a number of conditions for which there were no prevalence and incidence estimates from population- based data in the United States. For example, whereas the prev- alence of GH deficiency has been estimated for children, there have been no comparable estimates from an adult population. Particularly as the population ages, it will be important to know the prevalence of GH deficiency in adults given its association with an adverse cardiometabolic profile (79). Hypogonadism in males is associated with erectile dysfunction as well as adverse cardiovascular and metabolic outcomes, including coronary heart disease and diabetes (80, 81). However, we were unable to identify articles reporting the epidemiology of primary and sec- ondary hypogonadism in the U.S. population. Hypogonadism is also associated with osteopenia and osteoporosis, which are sig- nificant public health burdens in U.S. females. Given that os- teopenia, osteoporosis, and erectile dysfunction are highly prev- alent among U.S. adults and have very high incidence rates, it will be important in the future to quantify the contribution of hypo- gonadism to these conditions by incorporating the measurement of sex hormones into population-based studies.

Other endocrine conditions for which we did not identify articles describing their epidemiology in the population-based setting were rare gastrointestinal endocrine tumors. Reported data on the epidemiology of adrenal disorders were essentially limited to the incidence of pheochromocytoma and adrenocor- tical carcinoma. Therefore, future studies are needed to help determine the prevalence and incidence of adrenal insufficiency, as well as hypercortisolism and hyperaldosteronism, both of which are causes of secondary hypertension, with the former also being a secondary cause of type 2 diabetes and obesity.

Overall, ethnic group-specific data were available in 60% of our articles reporting prevalence data and 23% of our articles reporting incidence. Furthermore, only 19% of prevalence arti- cles and 10% of incidence articles reported data that included Native Americans and/or Asians. Future population-based studies of endocrine disorders should continue to be multiethnic, with a particular emphasis on recruiting Native Americans and Asians.

Some of the gaps in our knowledge of the epidemiology of endocrine and metabolic diseases may seem surprising, particu- larly in light of confidently quoted statistics in other reviews and book chapters. It is important to remember that estimates con- sidered in this rigorous comprehensive literature review were limited to U.S. population-based studies that did not include clinic-based or symptomatic populations. Consequently, reports

of the prevalence of certain conditions among individuals with a particular clinical phenotype, e.g. aldosteronoma in hyperten- sive patients, or a particular subset of a broader endocrine dis- ease, e.g. acromegaly among pituitary tumor patients, were not included because these data were not based on nonclinical pop- ulations. Another limitation of available study data arises from the fact that some endocrine disorders have been rather arbi- trarily defined as simply the extremes of hormone-related phe- notypes in the populations, e.g. decreased bone mineral density and precocious and delayed puberty.

Limitations to our review

Several limitations should be kept in mind when interpreting our data. First, we conducted a comprehensive review, as op- posed to a systematic review of the literature and may have missed key references. However, we compiled a comprehensive list of references from our content experts and handsearching relevant texts and articles, during which key references were repeatedly identified. Second, most of our data are restricted to the past 10 yr, which does not enable us to comment on secular trends in the prevalence and incidence of endocrine disorders. In an attempt to report the most current data, we may have selected studies with less rigorous definitions of the endocrine disorder or excluded data from certain population-based cohort studies. The advantage to summarizing the most current literature is to present the most up-to-date statistics to inform current clinical care, research, and workforce requirements in the field of endo- crinology and metabolism. Third, by limiting our search to U.S. population-based studies, our data may not be generalizable to other parts of the world. Also, by excluding studies based on clinical populations, we were unable to report the epidemiology of certain disorders, such as hypercortisolism, hyperaldosteron- ism, or hypogonadism, which might be detected when individ- uals with certain clinical phenotypes are evaluated in a clinical setting. We restricted our data to those derived from nonclinical population-based studies to provide prevalence and incidence estimates most closely reflecting the true burden and risk of con- ditions in the general population.

Future directions and conclusions

It is important that there be a more complete definition of the prevalence and incidence of endocrine and metabolic diseases. To accomplish this goal, future epidemiological studies should incorporate hormonal measures that can be accurately deter- mined in the population setting. Measures such as intact PTH, IGF-I, and pituitary hormones (i.e. TSH, FSH, and LH) should be incorporated. Sex hormones (i.e. testosterone, estradiol), which have been measured in prior studies, can now be more accurately determined using liquid chromatography tandem- mass spectrometry, a newer laboratory technique (82-84). This will enable us to determine the prevalence and incidence of en- docrine disorders such as hyperparathyroidism, primary and sec- ondary hypogonadism, GH deficiency, and hypothyroidism, all of which contribute to other disorders, such as metabolic bone disease and diabetes mellitus. Endocrinologists cross-trained as epidemiologists will also be needed in the future to contribute to the design of longitudinal cohort studies, to inform steering com-

mittees regarding incorporation of appropriate endocrine mea- sures, and to exploit existing data sets to generate additional population estimates for endocrine disorders. It is imperative that future cohort studies continue to be multiethnic so that we can obtain up-to-date epidemiological data for endocrine and metabolic disorders in all populations.

Defining the epidemiology of endocrine and metabolic dis- orders will provide clues to risk factors and identify areas to allocate public health and research resources. It is also important that more accurate epidemiological data be acquired to estimate the workforce needed to prevent, diagnose, and treat endocrine and metabolic diseases. In 2003, a model developed to determine workforce requirements for endocrinologists in the United States until 2020 concluded that, “the current national supply of en- docrinologists is estimated to be 12% lower than demand” and that demand would exceed supply through 2020 (6). It further predicted that the deficit of endocrine subspecialists would widen after 2008 due to the aging population and a projected decline in the number of endocrinologists, as an older generation of clinicians retire. Several of the most common endocrine dis- orders, such as diabetes mellitus, osteoporosis, and hyperlipid- emia, are cared for by primary care physicians due to the shortage of endocrinologists. In fact, a recent Centers for Disease Control fact sheet estimated a higher diabetes prevalence of 7.8% in adults in 2007 (85). The current review, showing high prevalence and incidence of common endocrine and metabolic disorders, validates that concern.

Acknowledgments

The authors thank Drs. Frederick L. Brancati and Elizabeth Selvin for their critical review of our manuscript. The authors also gratefully ac- knowledge the contributions of the following experts: Roy Altman, Uni- versity of California, Los Angeles School of Medicine; David Aron, Case Western Reserve University School of Medicine; Brad Astor, Johns Hop- kins University Bloomberg School of Public Health; Diana Benn, Uni- versity of Sydney, Australia; Shalender Bhasin, Boston University; Diane Bild, National Heart, Lung, and Blood Institute; John Bilezikian, Co- lumbia University; Frederick Brancati, Johns Hopkins School of Medi- cine; Glenn Braunstein, University of California, Los Angeles School of Medicine; Thomas Buchanan, University of Southern California Keck School of Medicine; Jeanne Clark, Johns Hopkins School of Medicine; Fredric Coe, University of Chicago Medical Center; John Connell, Glas- gow Cardiovascular Research Centre; Josef Coresh, Johns Hopkins Bloomberg School of Public Health; Gary Curhan, Harvard School of Public Health; Marc Drezner, University of Wisconsin; Andrea Dunaif, Northwestern University Feinberg School of Medicine; Mark Eberhardt, National Center for Health Statistics; Martin Fassnacht, University of Wuerzburg, Germany; Murray Favus, University of Chicago Medical Center; Aaron Folsom, University of Minnesota; Linda Geiss, Centers for Disease Control and Prevention; Ashley Grossman, St. Bartholomew’s Hospital, London, UK; Giuseppina Imperatore, Centers for Disease Control and Prevention; Ronald Klein, University of Wisconsin; Lewis Kuller, University of Pittsburgh; Andre Lacroix, Centre Hospitalier de l’Université de Montreal, Canada; Stephen LaFranchi, Oregon Health & Science University; Barbara Lippe, Genentech, Inc .; Shlomo Melmed, Cedars-Sinai Medical Center; Joseph Melton, Mayo Clinic; Paolo Mulatero, San Vito Hospital, Torino, Italy; Primus Mullis, University Children’s Hospital, Bern, Switzerland; Hartmut Neumann, University of Freiburg, Hugstetterstr, Germany; Maria New, Mount Sinai School of Medicine; Thomas O’Dorisio, University of Iowa Holden Cancer Cen-

ter; Trevor Orchard, University of Pittsburgh; Leslie Plotnick, Johns Hopkins School of Medicine; Charmian Quigley, Eli Lilly & Co .; Martin Reincke, Albert-Ludwigs University, Germany; Edward Reiter, Baystate Medical Center; Alan Rogol, University of Virginia; Janet Schlecte, Uni- versity of Iowa; Elizabeth Selvin, Johns Hopkins School of Medicine; A. Richey Sharrett, Johns Hopkins Bloomberg School of Public Health; Dolores Shoback, University of California, San Francisco Medical Cen- ter; Frederick Singer, University of California, Los Angeles School of Medicine; Ethel Siris, Columbia University College of Physicians and Surgeons; June Stevens, University of North Carolina; Moyses Szklo, Johns Hopkins Bloomberg School of Public Health; Massimo Terzolo, University of Turin, Italy; Robert Utiger, Brigham and Women’s Hos- pital, Harvard University; Charlene Waldman, Paget Foundation; Nelson Watts, University of Cincinnati Bone Health and Osteoporosis Center; Gilbert Welch, Dartmouth Medical School; Patrick Wilton, Pfizer; and William Young, Mayo Clinic.

Address all correspondence and requests for reprints to: Dr. Sherita Hill Golden, Johns Hopkins University School of Medicine, Division of Endocrinology and Metabolism, 2024 East Monument Street, Suite 2-600, Baltimore, Maryland 21205. E-mail: sahill@jhmi.edu.

For reprint orders over 100 copies, please contact Cadmus Commu- nications at reprints2@cadmus.com.

This review was funded by The Endocrine Society.

Disclosure Summary: The authors have nothing to disclose.

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