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
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{at}jhmi.edu.
Context: There has not been a comprehensive compilation of dataregarding the epidemiology of all endocrine and metabolic disordersin the United States.
Evidence Acquisition: We included 54 disorders with clinicaland public health significance. We identified population-basedstudies that provided U.S. prevalence and/or incidence databy searching PubMed in December 2007 for English-language reports,hand-searching reference lists of six textbooks of endocrinology,obtaining additional resources from identified experts in eachsubspecialty, and searching epidemiological databases and websites of relevant organizations. When available, we selectedarticles with data from 1998 or later. Otherwise, we selectedthe article with the most recent data, broadest geographicalcoverage, and most stratifications by sex, ethnicity, and/orage. Ultimately, we abstracted data from 70 articles and 40cohorts.
Evidence Synthesis: Endocrine disorders with U.S. prevalenceestimates of at least 5% in adults included diabetes mellitus,impaired fasting glucose, impaired glucose tolerance, obesity,metabolic syndrome, osteoporosis, osteopenia, mild-moderatehypovitaminosis D, erectile dysfunction, dyslipidemia, and thyroiditis.Erectile dysfunction and osteopenia/osteoporosis had the highestincidence in males and females, respectively. The least prevalentconditions, affecting less than 1% of the U.S. population, werediabetes mellitus in children and pituitary adenoma. Conditionswith the lowest incidence were adrenocortical carcinoma, pheochromocytoma,and pituitary adenomas. Certain disorders, such as hyperparathyroidismand thyroid disorders, were more common in females. As expected,the prevalence of diabetes mellitus was highest among ethnicminorities. Sparse data were available on pituitary, adrenal,and gonadal disorders.
Conclusions: The current review shows high prevalence and incidenceof common endocrine and metabolic disorders. Defining the epidemiologyof these conditions will provide clues to risk factors and identifyareas to allocate public health and research resources.
Endocrine and metabolic diseases are among the most common contemporaryhuman afflictions, particularly in the United States and othercountries with generous nutrition and screening programs forhigh-risk individuals. The prevalence and incidence of certaindisorders, such as diabetes and obesity, have been well definedin large population-based studies (1, 2, 3, 4). There has, however,been no comprehensive survey and compilation of data regardingthe epidemiology of endocrine and metabolic disorders to serveas a unified source of information about these conditions. Thesame is true of most other subspecialties of medicine, withthe exception of oncological diseases (5).
It is crucial to define the epidemiology of both common andunusual endocrine and metabolic diseases for several reasons.Documenting the overall disease burden (prevalence) and riskof disease development (incidence) and the distribution of endocrineand metabolic disorders in population subgroups should 1) providecritical information for the appreciation of the societal burdenof these conditions; 2) guide public health interventions; 3)establish research priorities; and 4) aid in the appropriateallocation of health care dollars. Furthermore, detailed informationregarding the burden and distribution of endocrine disordersshould help define current and future endocrine workforce requirementsand shape strategies for their effective use (6).
Recognizing the need for a comprehensive epidemiological reviewof endocrine and metabolic disorders, The Endocrine Societyprovided support for this survey and summary of the medicalliterature describing U.S. population-based data on the prevalenceand incidence of these conditions.
Initially, 72 disorders and conditions were enumerated, fromwhich we selected key conditions representing classical hormonaldisorders cared for by endocrinologists (i.e. adrenal, thyroid,and pituitary disorders), conditions with clinical and publichealth importance cared for by endocrinologists and primarycare providers (i.e. diabetes mellitus, obesity, osteoporosis,erectile dysfunction), and conditions with available diagnostictesting and/or therapy. We selected 54 disorders to includein this review (supplemental Table 1, published as supplementaldata on The Endocrine Societys Journals Online web siteat http://jcem.endojournals.org).
Identification of evidence
Existing databases
We first identified existing epidemiological databases withpotentially relevant prevalence and/or incidence data to avoidretrieval of duplicate data sets. We generated a list of onlinedatabases and web sites of relevant organizations (n = 20) andreviewed each of these sources for existing data (supplementalTable 2). Although many web sites reported prevalence and/orincidence data for endocrine disorders, the sources from whichdata were generated were not indicated. We therefore chose toidentify original articles to allow a complete description ofthe populations used to generate data.
Systematic review—pilot test
We developed a comprehensive literature search strategy foreach of the 54 selected conditions. Given the large number ofconditions and the expected large volume of information to screenand abstract, we developed a pilot test of the systematic reviewprocess. Through searches of PubMed (December 4, 2007), we soughtEnglish-language reports of population-based studies that providedprevalence and/or incidence data for a U.S. population. Thestrategy combined controlled vocabulary terms and text wordsfor 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 fewerthan 1000 PubMed entries each. The 1453 unique citations wereimported into a database maintained in reference managementsoftware (ProCite; Thomson Corporation, Stamford, CT). Eacharticle was independently screened for eligibility by two reviewers,first using title and abstract, and subsequently using fulltext. Disagreements concerning eligibility were resolved byconsensus. Five reviewers were involved in the abstract-screeningprocess. Inter-reviewer agreement was 95%, with statistic =0.42 [95% confidence interval (CI) 0.31–0.53] (where 0.41–0.60= "moderate agreement," 0.61–0.80 = "substantial agreement,"and 0.81–1.0 = "almost perfect agreement"). We excludedcitations from further consideration if they met any of thefollowing criteria: 1) were presented solely in abstract form;2) provided no original data (e.g. review, commentary); 3) didnot contain information about prevalence or incidence; 4) didnot study a U.S. population; 5) did not address endocrine ormetabolic disorders; 6) addressed endocrine or metabolic disordernot in our list; 7) were not population-based studies or population-basedscreening studies; or 8) used symptomatic or clinic populations.
Articles that were deemed either eligible or had unclear eligibilityat the abstract screening stage were selected for full-textscreening (n = 41). Overall, of 1453 abstracts screened, 10(0.7% yield) articles were determined to be eligible. Usingthis pilot data, we projected that this strategy would resultin 19,600 potentially relevant titles, requiring approximately135 wk to complete systematic reviews for all 54 conditionswith a low yield of eligible citations. Consequently, we abandonedthe systematic review strategy and developed a targeted strategyinvolving expert informers and handsearching.
Expert informers and handsearching
We initially identified and contacted 38 domain experts. Theseindividuals were asked to provide a list of relevant articlesand were also asked to provide names of other experts who couldoffer additional leads. We were directed to an additional 75experts, for a total 113 experts (see Acknowledgments). Fiftypercent of contacted experts contributed. A total of 289 articlesand 78 cohorts were suggested. All articles identified by theexperts were screened at the full-text level using the sameeligibility criteria as outlined for the pilot systematic review(Fig. 1).
FIG. 1. Summary of searching, screening, and selection process.
We also completed handsearching of six textbooks in endocrinology(7, 8, 9, 10, 11, 12), identifying 429 citations whose abstractswere screened to determine eligibility. Additional citations(n = 111) identified from the reference lists of selected articleswere also screened at the abstract level. Finally, for eachcondition where no eligible articles had been identified bythe experts or through handsearching (n = 15), we completedspecific searches in PubMed and identified 682 citations.
To avoid double counting of multiple published studies fromthe same cohort, we developed a cohort-based system for identifyingand abstracting information. If there were multiple articlesfor a condition, we selected articles with the most recent data,defined as reporting data from 1998 or after. If no articlereported data from 1998 or after, we selected the article withthe most recent data, broadest geographical coverage, and mostrelevant stratifications (i.e. sex, ethnicity, and age). Wedid not, however, select older articles that reported stratifieddata if a more recent article reported nonstratified estimates.Articles were not selected based on how the conditions weredefined. Our goal was to select at least one article describingprevalence and/or incidence for each condition on our list.
From all sources, we identified a total of 2268 citations describingdata from 164 separate study populations. At the full-text level,we excluded 302 of 619 articles. The primary reason for excludingarticles from further consideration was that they addressednon-U.S. populations (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 eligiblearticles describing data from 122 cohorts. After linking thesearticles with their cohorts, we applied the selection criteriaspecified above. The most frequent reasons for exclusion ofarticles were because they contained older data (n = 200) andbecause they provided less relevant stratifications (n = 24)compared with articles that were included. Eighty-two cohortswere automatically excluded because their associated articlewas excluded. Finally, we completed data abstraction for 70articles reporting data on 39 conditions from 40 separate cohorts(supplemental Table 3).
Because we selected studies with the most current data, 54 ofthe 70 articles summarized in this review were published in2000 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 SurveyIII (NHANES-III; n = 6), later NHANES surveys (continuous NHANES1999+; n = 8), the Behavior Risk Factor Surveillance System(BRFSS; n = 4), the Surveillance, Epidemiology, and End ResultsProgram (SEER; n = 3), the Pittsburgh Diabetes Mellitus Study(n = 2), the SEARCH for Diabetes in Youth Study (n = 2), andthe Nurses Health Study (n = 2).
Of the 70 articles meeting our inclusion criteria, 42 containedrecent prevalence data for the following categories of endocrinedisorders: hypothalamic-pituitary disorders (n = 2), thyroiddisorders (n = 3), female and male endocrine disorders (n =4), calcium and metabolic bone disorders (n = 7), diabetes mellitusand associated conditions (n = 22), dyslipidemias (n = 3), andobesity (n = 3). Some articles provided data on multiple conditions.We did not identify any articles summarizing the prevalenceof adrenal disorders and other endocrine tumors (islet celland carcinoid tumors).
Thirty-one of our 70 articles contained incidence (risk) datafor the following categories of endocrine disorders: hypothalamic-pituitarydisorders (n = 1), thyroid disorders (n = 7), adrenal disorders(n = 2), female and male endocrine disorders (n = 2), calciumand 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 fordyslipidemias and obesity.
Article characteristics
Among the 70 articles, U.S. data were primarily presented atthe national level (n = 22), followed by state (n = 9), county(n = 10), city (n = 13), multiple levels (n = 10), and other/notspecified (n = 6). Fifty-three percent of articles reportedreceiving study funding through the National Institutes of Healthor the Centers for Disease Control; however, the source of fundingwas unspecified for 31% of the articles.
Summary of prevalence and incidence by category of endocrine disorders
Wherever available, we report prevalence and incidence estimatesfor the overall population, as well as estimates stratifiedby sex, ethnicity [non-Hispanic whites (Whites), non-HispanicBlacks (Blacks), Hispanics, Native Americans, and Asian Americans(Asians)], and/or age. Unless otherwise stated, we have reportedcrude estimates. Where possible, we have provided 95% CI forestimates and P values for differences in estimates.
Hypothalamic-pituitary disorders
We found one article reporting the prevalence of GH deficiencyand one reporting the prevalence and incidence of all pituitarytumors. We did not find articles with estimates of prevalenceor incidence data for diabetes insipidus, hypogonadotropic hypogonadism,or specific subcategories of pituitary tumors (i.e. nonsecretoryand secretory).
GH deficiency.
The prevalence of GH deficiency was 2% in females and 3% inmales in the Utah Growth Study (13) (Table 1). We did not identifyarticles reporting the incidence of GH deficiency.
Pituitary tumors.
In the Cardiovascular Health Study, the prevalence of pituitarytumors in elderly adults (65 yr of age) was 0.16% (14). Datafrom the Central Brain Tumor Registry of the United States foundthe overall age-adjusted incidence of pituitary tumors to be0.9 per 100,000 person-years (py). Incidence rates were similarfor Blacks, Whites, and both sexes (15) (Table 2).
Thyroid disorders
There were three articles reporting the prevalence of thyroiddisorders (hypothyroidism, autoimmune thyroiditis, thyroid nodules,benign nodular goiter, and hyperthyroidism) and seven articlesreporting the incidence of various thyroid disorders (autoimmunethyroiditis, thyroid nodules, hypothyroidism, Gravesophthalmopathy, lymphocytic/postpartum thyroiditis, granulomatous/subacutethyroiditis, and thyroid cancer).
Hypothyroidism.
In NHANES-III individuals (12 yr of age), the overall prevalenceof hypothyroidism was 4.6%. Although the prevalence in Whites,Hispanics, and other ethnicities was similar to the overallprevalence, the prevalence in Blacks was lower at 1.7% (16).We did not find population-based data on hypothyroidism incidence.
Autoimmune thyroiditis.
In a population-based study including participants from Utah,Nevada, and Arizona, the overall prevalence of thyroiditis was5.13%; and in that same study, the overall incidence of thyroiditiswas 46.4 per 1000 subjects during 20 yr (17).
Thyroid nodules.
The above article also reported a prevalence of palpable thyroidnodularity of 2.33% and an incidence of 21.1 per 1000 subjectsduring 20 yr (17).
Benign nodular goiter.
In a population-based study in Connecticut, the overall prevalenceof multinodular goiter was 0.84%, with a higher prevalence infemales (1.6%) compared with males (0.1%) (18). We did not finddata on the incidence of benign nodular goiter.
Hyperthyroidism.
In NHANES-III individuals (12 yr of age), the overall prevalenceof hyperthyroidism was 1.3%, with the lowest prevalence amongHispanics and other ethnicities (0.7% each) and highest amongWhites (1.4%) (16). In the Nurses Health Study, the overallincidence of hyperthyroid Graves disease was 4.6 per1000 females during 12 yr (19). We did not find comparable incidencedata for males.
Graves ophthalmopathy.
In the Rochester Epidemiology Project, the age-adjusted incidenceof Graves ophthalmopathy was more than five times greaterin White females (16 per 100,000 py) than males (2.9 per 100,000py) (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 wasreported to be 11.3% during 1.5 months (21).
Subacute (granulomatous) thyroiditis.
The Rochester Epidemiology Project also reported data on theincidence of subacute thyroiditis, which was 12.1 per 100,000py, and higher in females (19.1 per 100,000 py) than in males(4.4 per 100,000 py) (22). The incidence of subacute thyroiditiswas highest in young adulthood (24 per 100,000 py for ages 30–40yr) 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 EpidemiologyProject (23) and 8.7 per 100,000 py during 29 yr in SEER, apopulation-based study that included participants from Connecticut,Hawaii, Iowa, New Mexico, and Utah (24). In the Rochester EpidemiologyProject, there was a higher incidence in females (9.2 per 100,000py) compared with males (5 per 100,000 py) during 10 yr from1990 to 1999 (23).
Adrenal disorders
We found one article each that reported the incidence of pheochromocytomaand adrenocortical carcinoma; however, there were no articlesthat reported the prevalence of these conditions. We did notidentify U.S. population-based studies reporting the prevalenceof aldosteronoma, hypercortisolism, adrenal insufficiency, oradrenal mass.
Pheochromocytoma.
In the Rochester Epidemiology Project, the overall incidenceof pheochromocytoma was 0.8 per 100,000 py during 30 yr in Whites(25).
Adrenocortical carcinoma.
The overall age-adjusted incidence of adrenocortical carcinomausing data from the SEER Program was reported as 0.72 per millionindividuals during 27 yr (26).
Female and male endocrine disorders
There were four articles that reported the prevalence of femaleand male endocrine disorders (polycystic ovarian disease, hirsutism,erectile dysfunction, gynecomastia) and two articles reportingthe incidence of these disorders (precocious puberty and erectiledysfunction). We were unable to identify U.S. population-baseddata on the prevalence and incidence of delayed puberty, hypogonadism,or infertility for either sex.
Precocious puberty.
In the Rochester Epidemiology Project, the incidence of precociouspuberty in females was reported as 3.5 per 100,000 py during45 yr (27). We did not identify comparable information for malesor data on the prevalence of this disorder.
Polycystic ovarian disease/syndrome (PCOS).
In a study of prospective 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 statisticallysignificant, P > 0.05) (28). We did not identify data onthe incidence of PCOS.
Hirsutism.
The above article reporting the prevalence of PCOS also determinedthe prevalence of hirsutism, which was 6.8%, being higher inBlacks (8.1%) compared with Whites (5.4%) (P > 0.05) (28).
Erectile dysfunction.
Two articles reported prevalence and one article reported incidenceof 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 statisticallysignificant, P > 0.05). The prevalence increased with age,peaking at 77.6% among males 75 yr of age or older (29). Inthe Health Professionals Follow-Up Study, the age-adjustedprevalence of erectile dysfunction in males without prostatecancer was 33% (30). The prevalence increased with age, from10% in males 53–59 yr of age to 60% in males 80–90yr of age (30). In the Massachusetts Male Aging Study, the incidenceof erectile dysfunction was reported as 2,590 per 100,000 pyduring 8 yr, and as expected, it increased with age, being 1,240per 100,000 py in males ages 40–50 yr and 4,640 per 100,000py in males ages 60–70 yr (31).
Gynecomastia.
In a study of adolescent males in Ohio schools, the overallprevalence of gynecomastia was 48.5% and was slightly higherin Whites (51.1%) compared with Blacks (46.0%) (statisticalinformation not provided) (32). We did not find data on theincidence of gynecomastia.
Calcium and metabolic bone disorders
There were seven articles reporting prevalence data for calciumand metabolic bone disorders (osteoporosis, osteopenia, vitaminD deficiency, Pagets disease, renal stones) and fivearticles reporting incidence of calcium and metabolic bone disorders(hypercalcemia, primary hyperparathyroidism, osteoporosis, osteopenia,Pagets disease, renal stones). We did not find U.S. population-basedstudies that reported prevalence or incidence data for hypoparathyroidism.
Hypercalcemia.
In the Rochester Epidemiology Project, the age- and sex-adjustedincidence of thiazide-induced hypercalcemia was 7.7 per 100,000py during 10 yr, with a statistically significantly higher incidenceamong 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, reachinga peak of 33.8 per 100,000 py at ages 70–80 yr (33).
Primary hyperparathyroidism.
Also in the Rochester Epidemiology Project, the age- and sex-adjustedincidence of primary hyperparathyroidism was 21.6 per 100,000py during 9 yr in Whites, with a twice higher incidence in females(28.4 per 100,000 py) compared with males (13.8 per 100,000py) (34). The incidence increased with age, reaching a peakof 63.2 per 100,000 py at ages 65–74 yr (34).
Osteoporosis and osteopenia.
Four articles reported the prevalence of osteoporosis and osteopeniaand one article reported their incidence. Among males (50 yrold) in NHANES-III, the prevalence (using male cutoffs) of osteoporosisand osteopenia was 6 and 47%, respectively (35). For both osteoporosisand osteopenia, White males had the highest prevalence (7 and48%, respectively). In the National Osteoporosis Risk AssessmentStudy, the prevalence of osteoporosis and osteopenia in females(50 yr old), was 7.2 and 39.6%, respectively (36). Among Blackfemales (45 yr old) in Milwaukee, Wisconsin, the prevalenceof osteoporosis and osteopenia was 9.3 and 23.3%, respectively(37). Prevalence estimates were highest in Chinese immigrantfemales (mean age = 63 yr) in New York, which reported an osteoporosisprevalence of 55% and osteopenia prevalence of 38% (38).
The incidence of osteoporosis and osteopenia was reported fromthe National Osteoporosis Risk Assessment Study (females 50yr old) as 3,470 per 100,000 py and 1,550 per 100,000 py during1 yr, respectively (36).
Vitamin D deficiency.
Among adults from NHANES-III, the prevalence of mild-moderatevitamin D deficiency (serum 25-hydroxy-vitamin D of 25–70nmol/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 sexesand for both degrees of severity of vitamin D deficiency, Whiteshad the lowest prevalence and Blacks had the highest (39). Wedid not identify any population-based study on the incidenceof vitamin D deficiency.
Pagets disease.
One article reported the prevalence and one reported the incidenceof Pagets disease. In NHANES-I, the overall prevalenceof Pagets disease in adults was 0.79%. The prevalencewas similar in males (0.72%) and females (0.92%) and increasedwith age, reaching a peak prevalence of 1.9% in individuals65–74 yr of age (40). In the Rochester Epidemiology Project,the age- and sex-adjusted incidence of Pagets diseasewas 9.2 per 100,000 py during 45 yr in Whites, with a significantlyhigher 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 incidence increased with age and washighest, 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 incidence of renalstones. In adults from NHANES-III, the prevalence of renal stoneswas reported as 6.3% in males and 4.1% in females (42). In theNurses Health Study, the incidence of renal stones was206, 170, 156, and 198 per 100,000 py during 8 yr in individuals27–34, 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 incidenceof islet cell tumors (i.e. gastrinomas, insulinomas, VIPomas,nonfunctioning neuroendocrine tumors). There was one articlefrom the SEER Program database that reported the incidence ofcarcinoid tumors by sex-ethnicity subgroups, which was slightlyhigher among Blacks—3.98, 4.48, 2.58, and 2.47 per 100,000py during 26 yr among Black females, Black males, White females,and White males, respectively [statistical information not provided(44)].
Diabetes and associated conditions
There were 22 articles reporting prevalence estimates for diabetesand its associated conditions (diabetes overall, type 1 diabetesonly, type 2 diabetes only, diabetic retinopathy, diabetic nephropathy,diabetic neuropathy, gestational diabetes, impaired fastingglucose, impaired glucose tolerance, and metabolic syndrome)and 13 articles reporting incidence data (diabetes overall,type 1 diabetes only, type 2 diabetes only, diabetic retinopathy,diabetic nephropathy, diabetic neuropathy, and impaired glucosetolerance).
Diabetes overall.
There were eight articles that reported diabetes prevalenceand three articles that reported diabetes incidence in U.S.population-based studies but did not specify type 1 or type2 diabetes.
Prevalence and incidence in total U.S. population.
In NHANES (1999–2002), the overall prevalence of diagnosedand undiagnosed diabetes mellitus in adults over 20 yr of agewas 6.5 and 2.8%, respectively (1). Similar estimates were obtainedfrom the BRFSS, where the overall prevalence of self-reporteddiagnosed diabetes was 8.5% (2). In the Health, Aging, and BodyComposition Study, a cohort study of elderly individuals atleast 70 yr of age, the prevalence of diagnosed diabetes was24.2% (45). In the SEARCH for Diabetes In Youth Study, the prevalenceestimate among children 19 yr of age or younger was 0.18% (46).
The incidence of diabetes among adults was 6.6 per 1000 participantsduring 8 yr using data from the National Health Interview Survey(47) and 9.0 per 1000 participants during 3 yr using data fromthe BRFSS (48). In the Coronary Artery Risk Development in YoungAdults (CARDIA) Study, the incidence of diabetes among youngadult females was 450 per 100,000 py during 20 yr (49).
Prevalence by sex.
Three articles included data on diabetes prevalence by sex,which was similar for males and females (1, 46, 50). In NHANES(1999–2002), the prevalence of diagnosed diabetes in adultsover 20 yr of age was 6.3% for females and 6.7% for males, andthe prevalence of undiagnosed diabetes was 2.2% for femalesand 3.5% for males (1). In the SEARCH Study, the prevalenceof diabetes in females and males under the age of 19 yr was0.19 and 0.18%, respectively (46). In a population-based studythat only included Native Americans up to 35 yr of age, theprevalence 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 NativeAmericans (50), and middle and older age Hispanic adults (51).
Prevalence in Whites.
Three articles reported the prevalence of diabetes in Whitesin the United States. In adults from NHANES (1999–2002)(1) and from the BRFSS (52), the prevalence of diagnosed diabeteswas approximately 5%, and the prevalence of undiagnosed diabeteswas 2.9% (1). The prevalence was similar after adjustment forthe age and sex distribution of the population. In White childrenfrom the SEARCH study, the prevalence of diabetes was 0.22%(46).
Prevalence in Black Americans.
Among Black adults, the prevalence of diagnosed and undiagnoseddiabetes 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 ofdiagnosed diabetes was estimated to range from 6.5 to 22% inthree population-based studies (1, 51, 52). In NHANES (1999–2002),the prevalence of undiagnosed diabetes was 1.8% (1). The prevalenceamong Hispanic children in the SEARCH Study was 0.13% (46).
Prevalence in Native Americans.
Prevalence estimates of diabetes in Native Americans was reportedfrom two articles using data from the Indian Health Service(IHS) as 0.23% for children under age 19 (Billings Area IHSDatabase) (53) and 1.49% for individuals under age 35 (IHS OutpatientDatabase) (50). The latter estimate was similar after age adjustment.Among Native American children in the SEARCH study, the prevalenceof diabetes was estimated to be 0.13% (46).
Prevalence in Asian Americans.
In the SEARCH Study, the prevalence of diabetes in Asian childrenwas reported to be 0.08% (46).
Type 1 diabetes mellitus.
We identified one article that reported the overall prevalenceof type 1 diabetes in Native American children in the BillingsArea IHS Database, which was estimated to be 0.06% (53). Inthat article, the prevalence was slightly higher in males (0.09%)compared with females (0.04%) (statistical information not provided)(53). The incidence estimates of type 1 diabetes, reported byage in the SEARCH Study, were 14.3, 22.1, 25.9, and 13.1 per100,000 py during 1 yr for children aged 4 yr or younger, 5–9,10–14, and 15–19 yr, respectively, indicating apeak in mid-to-late childhood and early adolescence (54).
Type 2 diabetes mellitus.
Two articles reported the prevalence of type 2 diabetes in NativeAmericans, and one article reported its prevalence in Japanese-Americans.One article reported its prevalence in Native American adults(among Tohomo O'odham Indians) to be 18.3%, with a slightlyhigher prevalence in females (20%) compared with males (18%)(statistical information not provided). The prevalence was reportedto increase with age in both males and females, peaking in theage-group of 60–79 yr in both sexes (55). The prevalenceof type 2 diabetes in Native American children in the BillingsArea IHS Database was 0.11%, also with a slightly higher prevalencein females (0.15%) compared with males (0.07%) (statisticalinformation not provided) (53). Among Japanese-American adultsaged 44–75 yr, the prevalence of type 2 diabetes was reportedto be 34.1% when using either the World Health Organizationdefinition 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 be5.8% in males and 3.7% in females during 8 yr (57). In the AtherosclerosisRisk in Communities Study, Black females had the highest incidenceof type 2 diabetes mellitus [2,510 per 100,000 py during 9 yr(58)]. Among second (Nisei) and third (Sansei)-generation Japanese-Americansin King County, Washington, Nisei females had the highest incidenceof type 2 diabetes mellitus (19.2% during 6 yr) (59). In NativeAmerican adults from the Gila River Indian Community, the incidenceof 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 aged4 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 diabeticretinopathy. The overall prevalence of retinopathy among personswith 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 lowestprevalence (24.8%) (statistical information not provided) (61).The other two studies reported even higher prevalence estimatesin Hispanics: 46.9% in the Los Angeles Latino Eye Study (62),and 48% in the Proyecto Vision, Evaluation, and Research Study(51). The prevalence of diabetic retinopathy was similar amongmales and females and was highest in individuals aged 70–80yr in the Los Angeles Latino Eye Study (51). These three articlesalso reported the prevalence of macular edema, which was 9.0%in the overall population, and 10.4% and 5.1% among Hispanicsin the Los Angeles Latino Eye Study (62) and the Proyecto Vision,Evaluation, and Research Study (51), respectively. The prevalencewas similar among males and females, highest (10.8 to 11.8%)in middle-age individuals, and lowest (3.3%) in individualsmore than 80 yr of age (62).
One article (from the Pittsburgh Diabetes Mellitus Study) reportedincidence of proliferative diabetic retinopathy of 72.9% during10 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-adjustedincidence of 232 per 100,000 persons with diabetes during 12yr, with a higher incidence in females (270 per 100,000 personswith diabetes) compared with males (210 per 100,000 personswith diabetes) (65). Blacks, followed by Hispanics, and Whiteshad the highest incidence (390, 300, and 200 per 100,000 personswith diabetes, respectively). The rate was reported to increasewith age, with the highest incidence reported among 65–74yr olds (405 per 100,000 persons with diabetes) (65). In thePittsburgh Diabetes Mellitus Study, the incidence of diabeticnephropathy 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, theage-adjusted prevalence of peripheral insensate neuropathy was21.2%, 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 incidenceof cardiac autonomic neuropathy in type 1 diabetic individualswas estimated as 5,900 per 100,000 py during 4.7 yr (67).
Gestational diabetes.
Three articles reported the prevalence of gestational diabetes,and one article reported its incidence. The overall prevalenceof gestational diabetes was estimated as 3.8% among pregnantfemales in the New York City Department of Health and MentalHygiene database (68) and as 7.8% among pregnant females enrolledin the South California Kaiser Permanente Medical Care Program(69). In both of these studies, the prevalence of gestationaldiabetes increased with increasing age. All three articles reportedthe prevalence by ethnicity and found that the prevalence wasconsistently highest among Asian females (68, 69, 70).
Among females enrolled in the Northern California Kaiser PermanenteMedical Care Program, the incidence of gestational diabeteswas reported as 7.2% during 1 yr. The incidence over 1 yr washighest 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 glucoseusing recent NHANES data. Among adults, the overall prevalenceof impaired fasting glucose was 26% and was higher among males(32.6%) compared with females (20.0%) (statistical informationnot provided) (NHANES 1999–2002) (1). Hispanic individualshad a similar prevalence (30.1%; 95% CI, 26.7–33.8) toWhites (27.0%; 95% CI, 24.1–30.2) and higher prevalencethan 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%) comparedwith females (4%), although this did not achieve statisticalsignificance (P > 0.05) (72). Prevalence was highest amongHispanic children (13%) (NHANES 1999–2000) (72). We didnot identify articles that reported the incidence of impairedfasting glucose.
Impaired glucose tolerance.
One article reported the prevalence and one reported the incidenceof impaired glucose tolerance. In NHANES-III adults between45 and 74 yr of age, the overall prevalence was reported as17.1% and was similar among males (16.6%) and females (17.7%).Hispanics had the highest prevalence of impaired glucose tolerance(20.9%) (73). The incidence of glucose intolerance was reportedamong participants 33–67 yr of age from the FraminghamStudy as 6.7% among males and 5.5% among females during 14 yr(74).
Metabolic syndrome.
Two articles reported the prevalence of metabolic syndrome usingrecent NHANES data. The overall prevalence in adults was 39%using the International Diabetes Federation (IDF) criteria and34.5% using the National Cholesterol Education Panel (NCEP)criteria, respectively (NHANES 1999–2002) (75). Usingboth 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 higherprevalence 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 usingrecent NHANES data. We did not find data reporting the incidenceof dyslipidemias.
Hypercholesterolemia.
Among adults, the age- and sex-adjusted prevalence of hypercholesterolemiawas 17% when defined as total cholesterol of at least 240 mg/dlirrespective of treatment and 22.5% when defined as total cholesterolof at least 240 mg/dl or treatment with cholesterol medication(NHANES 1999–2000) (76).
Hypertriglyceridemia.
Among adults in NHANES-III, the overall prevalence of hypertriglyceridemiawas 30.1%, with a higher prevalence in males (35.1%) comparedwith females (24.7%) (77). Hispanics had the highest prevalenceof hypertriglyceridemia (37.7%), whereas it was lowest in Blacks(17.7%) (77). Similar patterns were observed among childrenin NHANES (1999–2004), where the overall prevalence ofhypertriglyceridemia was 8.9%. There was a somewhat higher prevalencein male children (10.5%) compared with female children (7.3%)(P = 0.131) (3). Although the prevalence of hypertriglyceridemiawas similar in White and Hispanic children (10%), it was lowestin Black children (3.6%) (P < 0.001), and the prevalenceincreased with age (3).
Low high-density lipoprotein (HDL)-cholesterol.
Among adults in NHANES-III, the overall prevalence of low HDL-cholesterolwas 37.1%, and it was similar in males (35.2%) and females (39.3%)(77). Among children, the overall prevalence of low HDL-cholesterolwas 22.6%, and it was similar in males (23.4%) and females (21.8%)(NHANES 1999–2004) (3). The prevalence was highest amongolder children (3). As with hypertriglyceridemia, the prevalenceof 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. AmongNHANES (2003–2004) adults, the prevalence of obesity was32.2% (78). The most obese age group was 40–59 yr olds(36.8%). Overall, 45.0% of Blacks and 38.6% of Hispanics wereobese. Although obesity estimates in males of all ethnicitieswere not significantly different from each other, Black (53.9%)and Hispanic (42.3%) females had higher obesity rates comparedwith White females (30.2%). This trend was reported in eachage group (78). Among adults, the overall prevalence of obesityin the BRFSS was 25.6%, with similar prevalence in males andfemales (4). Whites had the lowest prevalence (24.5%), whereasBlacks had the highest prevalence (35.8%). The prevalence ofobesity increased with age, reaching a peak (30.9%) at ages50–59 yr; however, prevalence was lower (19.4%) in individualsat least 70 yr of age (4).
Among children in NHANES (1999–2004), the prevalence ofobesity was 28.6%, with a significantly higher prevalence infemale children (36.5%) compared with male children (21.0%)(P < 0.001). There was also an increase in the prevalenceof obesity with age (3). Among all ethnicities, the obesityprevalence was greater than 25%, with Hispanic children havingthe highest prevalence (34.5%) (3). We did not identify U.S.population-based data on the incidence of obesity.
To our knowledge, this is the first comprehensive review ofthe epidemiology of all endocrine and metabolic disorders withdata derived from population-based studies in the United States.Our review highlights the high prevalence estimates of severalendocrine disorders posing significant public health burdens,each of which affects more than 5% of the overall U.S. adultpopulation (supplemental Table 4). Depending on the specificpopulation studied, the most highly prevalent conditions amongadults (non-ethnic-specific) were diabetes mellitus (6–22%),impaired fasting glucose (7–26%), impaired glucose tolerance(17%), obesity (19–32%), metabolic syndrome (34–39%),osteoporosis (7.2%) and osteopenia (39.6%) in women, osteoporosis(6%) and osteopenia (47%) in men, erectile dysfunction in males(18.5%), hypercholesterolemia (17%), low HDL-cholesterol (37%),hypertriglyceridemia (30%), and thyroiditis (5%). The endocrinedisorders with the highest documented incidence estimates inthe U.S. adult population were erectile dysfunction in men andosteopenia and osteoporosis in women, reflecting the aging ofour population. Based on the articles included in our review,the least prevalent endocrine conditions, affecting less than1% of the populations studied, were diabetes mellitus in childrenand pituitary adenomas. The conditions with the lowest recordedincidence were adrenocortical carcinoma, pheochromocytoma, andpituitary adenomas.
In population-based studies of individuals with self-reporteddiagnosed diabetes mellitus, secondary complications were alsohighly prevalent, with diabetic nephropathy occurring in 28%,diabetic retinopathy occurring in 47–48%, and peripheralneuropathy occurring in 21% of affected adults. Data from populationsof young adult and middle-aged females indicated that gestationaldiabetes, hirsutism, and PCOS affect 4–8% of females inthe United States. However, the most prevalent endocrine conditionsamong females in the United States were osteoporosis and osteopenia.
The prevalence and incidence of several metabolic and endocrineconditions differed by sex. Impaired fasting glucose was moreprevalent among males in two studies, whereas the prevalenceof impaired glucose tolerance and diabetes mellitus did notdiffer by sex. Although the prevalence of metabolic syndromeand obesity in adults was similar by sex, the prevalence ofmetabolic syndrome was higher in male children compared withfemale children, and obesity was more prevalent in female childrencompared with male children. Primary hyperparathyroidism, thiazide-inducedhypercalcemia, and vitamin D deficiency were also more commonin females. The incidence of Pagets disease was higherin males compared with females, although the prevalence wassimilar. For thyroid diseases, the incidences of Gravesophthalmopathy, thyroid carcinoma, and subacute thyroiditiswere all higher in females.
Obesity affected 28% of U.S. children ages 12 to 17 yr. Themost prevalent endocrine disorder in boys was gynecomastia,which affected nearly 50% of male adolescents. The prevalenceof diabetes mellitus was quite low among children, estimatedat less than 1%; however, with the current high prevalence ofobesity, the incidence and prevalence of type 2 diabetes inchildren and young adults are expected to rise.
The prevalence of type 2 diabetes increased with age in bothadults and children. On the other hand, the incidence of type1 diabetes reached a peak in mid-to-late childhood and earlyadolescence. Certain endocrine disorders affected young to middle-agedindividuals, for example, with the prevalence of obesity reachinga peak prevalence in middle age (50–60 yr) and the incidenceof subacute thyroiditis being highest in young adulthood andmiddle age.
Several endocrine disorders affected certain ethnic groups morethan others. The prevalence estimates of diabetes mellitus andobesity were highest among Black and Hispanic individuals. Hispanicshad the highest prevalence of impaired fasting glucose and impairedglucose tolerance. Metabolic syndrome prevalence was lowestamong Black children and highest among Hispanic children. Asianfemales had the highest prevalence and incidence of gestationaldiabetes. Blacks were least likely to have hypertriglyceridemia,low HDL-cholesterol, and hypothyroidism.
Limitations to the current literature
Our review highlights several limitations to the current literatureregarding the epidemiology of endocrine and metabolic disorders.We identified a number of conditions for which there were noprevalence and incidence estimates from population-based datain the United States. For example, whereas the prevalence ofGH deficiency has been estimated for children, there have beenno comparable estimates from an adult population. Particularlyas the population ages, it will be important to know the prevalenceof GH deficiency in adults given its association with an adversecardiometabolic profile (79). Hypogonadism in males is associatedwith erectile dysfunction as well as adverse cardiovascularand metabolic outcomes, including coronary heart disease anddiabetes (80, 81). However, we were unable to identify articlesreporting the epidemiology of primary and secondary hypogonadismin the U.S. population. Hypogonadism is also associated withosteopenia and osteoporosis, which are significant public healthburdens in U.S. females. Given that osteopenia, osteoporosis,and erectile dysfunction are highly prevalent among U.S. adultsand have very high incidence rates, it will be important inthe future to quantify the contribution of hypogonadism to theseconditions by incorporating the measurement of sex hormonesinto population-based studies.
Other endocrine conditions for which we did not identify articlesdescribing their epidemiology in the population-based settingwere rare gastrointestinal endocrine tumors. Reported data onthe epidemiology of adrenal disorders were essentially limitedto the incidence of pheochromocytoma and adrenocortical carcinoma.Therefore, future studies are needed to help determine the prevalenceand incidence of adrenal insufficiency, as well as hypercortisolismand hyperaldosteronism, both of which are causes of secondaryhypertension, with the former also being a secondary cause oftype 2 diabetes and obesity.
Overall, ethnic group-specific data were available in 60% ofour articles reporting prevalence data and 23% of our articlesreporting incidence. Furthermore, only 19% of prevalence articlesand 10% of incidence articles reported data that included NativeAmericans and/or Asians. Future population-based studies ofendocrine disorders should continue to be multiethnic, witha particular emphasis on recruiting Native Americans and Asians.
Some of the gaps in our knowledge of the epidemiology of endocrineand metabolic diseases may seem surprising, particularly inlight of confidently quoted statistics in other reviews andbook chapters. It is important to remember that estimates consideredin this rigorous comprehensive literature review were limitedto U.S. population-based studies that did not include clinic-basedor symptomatic populations. Consequently, reports of the prevalenceof certain conditions among individuals with a particular clinicalphenotype, e.g. aldosteronoma in hypertensive patients, or aparticular subset of a broader endocrine disease, e.g. acromegalyamong pituitary tumor patients, were not included because thesedata were not based on nonclinical populations. Another limitationof available study data arises from the fact that some endocrinedisorders have been rather arbitrarily defined as simply theextremes of hormone-related phenotypes 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 interpretingour data. First, we conducted a comprehensive review, as opposedto a systematic review of the literature and may have missedkey references. However, we compiled a comprehensive list ofreferences from our content experts and handsearching relevanttexts and articles, during which key references were repeatedlyidentified. Second, most of our data are restricted to the past10 yr, which does not enable us to comment on secular trendsin the prevalence and incidence of endocrine disorders. In anattempt to report the most current data, we may have selectedstudies with less rigorous definitions of the endocrine disorderor excluded data from certain population-based cohort studies.The advantage to summarizing the most current literature isto present the most up-to-date statistics to inform currentclinical care, research, and workforce requirements in the fieldof endocrinology and metabolism. Third, by limiting our searchto U.S. population-based studies, our data may not be generalizableto other parts of the world. Also, by excluding studies basedon clinical populations, we were unable to report the epidemiologyof certain disorders, such as hypercortisolism, hyperaldosteronism,or hypogonadism, which might be detected when individuals withcertain clinical phenotypes are evaluated in a clinical setting.We restricted our data to those derived from nonclinical population-basedstudies to provide prevalence and incidence estimates most closelyreflecting the true burden and risk of conditions in the generalpopulation.
Future directions and conclusions
It is important that there be a more complete definition ofthe prevalence and incidence of endocrine and metabolic diseases.To accomplish this goal, future epidemiological studies shouldincorporate hormonal measures that can be accurately determinedin 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 beenmeasured in prior studies, can now be more accurately determinedusing liquid chromatography tandem-mass spectrometry, a newerlaboratory technique (82, 83, 84). This will enable us to determinethe prevalence and incidence of endocrine disorders such ashyperparathyroidism, primary and secondary hypogonadism, GHdeficiency, and hypothyroidism, all of which contribute to otherdisorders, such as metabolic bone disease and diabetes mellitus.Endocrinologists cross-trained as epidemiologists will alsobe needed in the future to contribute to the design of longitudinalcohort studies, to inform steering committees regarding incorporationof appropriate endocrine measures, and to exploit existing datasets to generate additional population estimates for endocrinedisorders. It is imperative that future cohort studies continueto be multiethnic so that we can obtain up-to-date epidemiologicaldata for endocrine and metabolic disorders in all populations.
Defining the epidemiology of endocrine and metabolic disorderswill provide clues to risk factors and identify areas to allocatepublic health and research resources. It is also important thatmore accurate epidemiological data be acquired to estimate theworkforce needed to prevent, diagnose, and treat endocrine andmetabolic diseases. In 2003, a model developed to determineworkforce requirements for endocrinologists in the United Statesuntil 2020 concluded that, "the current national supply of endocrinologistsis estimated to be 12% lower than demand" and that demand wouldexceed supply through 2020 (6). It further predicted that thedeficit of endocrine subspecialists would widen after 2008 dueto the aging population and a projected decline in the numberof endocrinologists, as an older generation of clinicians retire.Several of the most common endocrine disorders, such as diabetesmellitus, osteoporosis, and hyperlipidemia, are cared for byprimary care physicians due to the shortage of endocrinologists.In fact, a recent Centers for Disease Control fact sheet estimateda higher diabetes prevalence of 7.8% in adults in 2007 (85).The current review, showing high prevalence and incidence ofcommon endocrine and metabolic disorders, validates that concern.
Acknowledgments
The authors thank Drs. Frederick L. Brancati and Elizabeth Selvinfor their critical review of our manuscript. The authors alsogratefully acknowledge the contributions of the following experts:Roy Altman, University of California, Los Angeles School ofMedicine; David Aron, Case Western Reserve University Schoolof Medicine; Brad Astor, Johns Hopkins University BloombergSchool of Public Health; Diana Benn, University of Sydney, Australia;Shalender Bhasin, Boston University; Diane Bild, National Heart,Lung, and Blood Institute; John Bilezikian, Columbia University;Frederick Brancati, Johns Hopkins School of Medicine; GlennBraunstein, University of California, Los Angeles School ofMedicine; Thomas Buchanan, University of Southern CaliforniaKeck School of Medicine; Jeanne Clark, Johns Hopkins Schoolof Medicine; Fredric Coe, University of Chicago Medical Center;John Connell, Glasgow Cardiovascular Research Centre; JosefCoresh, Johns Hopkins Bloomberg School of Public Health; GaryCurhan, Harvard School of Public Health; Marc Drezner, Universityof Wisconsin; Andrea Dunaif, Northwestern University FeinbergSchool of Medicine; Mark Eberhardt, National Center for HealthStatistics; Martin Fassnacht, University of Wuerzburg, Germany;Murray Favus, University of Chicago Medical Center; Aaron Folsom,University of Minnesota; Linda Geiss, Centers for Disease Controland Prevention; Ashley Grossman, St. Bartholomews Hospital,London, UK; Giuseppina Imperatore, Centers for Disease Controland Prevention; Ronald Klein, University of Wisconsin; LewisKuller, University of Pittsburgh; Andre Lacroix, Centre Hospitalierde lUniversité de Montréal, Canada; StephenLaFranchi, 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 Childrens 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 Center; TrevorOrchard, University of Pittsburgh; Leslie Plotnick, Johns HopkinsSchool of Medicine; Charmian Quigley, Eli Lilly & Co.; MartinReincke, Albert-Ludwigs University, Germany; Edward Reiter,Baystate Medical Center; Alan Rogol, University of Virginia;Janet Schlecte, University of Iowa; Elizabeth Selvin, JohnsHopkins School of Medicine; A. Richey Sharrett, Johns HopkinsBloomberg School of Public Health; Dolores Shoback, Universityof California, San Francisco Medical Center; Frederick Singer,University of California, Los Angeles School of Medicine; EthelSiris, Columbia University College of Physicians and Surgeons;June Stevens, University of North Carolina; Moyses Szklo, JohnsHopkins Bloomberg School of Public Health; Massimo Terzolo,University of Turin, Italy; Robert Utiger, Brigham and WomensHospital, Harvard University; Charlene Waldman, Paget Foundation;Nelson Watts, University of Cincinnati Bone Health and OsteoporosisCenter; Gilbert Welch, Dartmouth Medical School; Patrick Wilton,Pfizer; and William Young, Mayo Clinic.
Footnotes
For reprint orders over 100 copies, please contact Cadmus Communicationsat reprints2{at}cadmus.com.
This review was funded by The Endocrine Society.
Disclosure Summary: The authors have nothing to disclose.
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