0
Article |

Demographic and Clinical Characteristics of Adolescents in Hawaii With Obsessive-compulsive Disorder FREE

Anthony P. S. Guerrero, MD; Earl S. Hishinuma, PhD; Naleen N. Andrade, MD; Cathy K. Bell, MD; David K. Kurahara, MD; Terry G. Lee, MD; Helen Turner, PhD; Jason Andrus, MD; Noelle Y. C. Yuen, MD; Alexander J. Stokes, MSc, HBO
[+] Author Affiliations

From The Native Hawaiian Mental Health Research Development Program of the Department of Psychiatry (Drs Guerrero, Hishinuma, Andrade, Bell, Lee, and Yuen), Department of Psychiatry, Division of Child and Adolescent Psychiatry (Drs Guerrero, Bell, Lee, Andrus, and Yuen), and the Department of Pediatrics (Drs Guerrero and Kurahara), University of Hawaii John A. Burns School of Medicine, and the Center for Biomedical Research, the Queen's Medical Center (Dr Turner and Mr Stokes), Honolulu.


Arch Pediatr Adolesc Med. 2003;157(7):665-670. doi:10.1001/archpedi.157.7.665.
Text Size: A A A
Published online

Background  A high prevalence rate of obsessive-compulsive disorder (OCD) among Hawaiian adolescents, particularly Native Hawaiians, has been reported. Because Native Hawaiian and other Polynesian youth are at an increased risk for rheumatic fever, caused by an autoimmune response to group A β-hemolytic streptococci, we hypothesized that the genetic and environmental risk factors for streptococcal infections and their autoimmune sequelae potentially may be associated with the presence of OCD and may partially explain this high OCD prevalence.

Objective  To describe, among the adolescents in Hawaii diagnosed as having OCD through a previous study, OCD prevalence by ethnicity, household crowding and other measures of socioeconomic status, various measures of physical health and health-seeking behavior, and comorbid psychopathologic features.

Design  Six hundred nineteen adolescents from 5 high schools in the state of Hawaii were interviewed from April 15, 1993, to May 7, 1996. Interview instruments included the Diagnostic Interview Schedule for Children and other measurements of psychopathology. Obsessive-compulsive disorder diagnoses, based on current and past 6-month symptoms elicited via structured interview of the adolescents, were reported.

Results  Relative to other ethnicities, Native Hawaiians had a 2-fold higher risk (odds ratio = 2.03) for OCD. Degree of Polynesian ancestry correlated positively with OCD prevalence. Obsessive-compulsive disorder prevalence also correlated positively with crowding in the household; measures of physical illness; and measures of depression, anxiety, aggression, and illicit substance use.

Conclusions  The characteristics of OCD in this sample suggest the need to consider the possibility of a streptococcal origin and the need for further studies to clarify the genetic and environmental risk factors for OCD in Hawaiian and other Polynesian youth.

IN A COMMUNITY sample of adolescents in Hawaii, Andrade et al1 found prevalence rates for obsessive-compulsive disorder (OCD), particularly among Native Hawaiians (13.8%), to be significantly higher than previously reported rates: 3.6% (point prevalence rate) in a cohort of 16- to 17-year-old Israeli adolescents2; 1% (point prevalence rate) in a sample of high school students in the continental United States3; and 4% (1-year prevalence rate) in a cohort of 18-year-olds in New Zealand.4 To investigate possible explanations for this high OCD prevalence, we sought to describe by ethnicity the demographic and clinical characteristics of youth in Hawaii diagnosed as having OCD.

An autoimmune response to group A β-hemolytic streptococci, the causative agent of rheumatic fever, seems to be causative in a certain subgroup of patients with OCD.5,6 Rheumatic fever has continued to be a concern in Hawaii,6 even with declines in incidence in the rest of the country. Furthermore, the incidence of rheumatic fever in Native Hawaiian and Samoan children has consistently been found to be much higher than in other ethnic groups in Hawaii.79 Environmental factors that enhance transmission of streptococci, such as overcrowding in the household, that limit access to early medical care, or that adversely affect nutritional and immunological status are felt to possibly account for differences in the risk of rheumatic fever.710 Also, hereditary factors, hypothesized as early as 1889 to explain the observation that rheumatic fever runs in families even when individual members live in different places under different conditions,11 may significantly explain the association between ethnicity and the risk of rheumatic fever. Recently, Kurahara et al10 have suggested that immunogenetic factors more common in Polynesians and Filipinos may predispose them to rheumatic fever.

In this pilot study, a retrospective analysis of the Native Hawaiian Mental Health Research Development Program12,13 cross-sequential data set (March 10, 1992, to February 28, 1996), we examined risk factors similar to the putative risk factors for rheumatic fever that may possibly play a role in the increased prevalence of OCD among teenagers in Hawaii. Specifically, we hypothesized that (1) the relative prevalences of OCD would resemble the relative prevalences of rheumatic fever among the various ethnic groups in Hawaii, with Native Hawaiians and other Polynesians being at particular risk by virtue of ethnicity more so than cultural identification; (2) overcrowding in the household, more so than any other measure of social economic status (SES), would be associated with an increased risk for OCD; and (3) frequent illnesses and a decreased likelihood to seek medical care would also be associated with an increased risk for OCD. We further hypothesized that OCD in our sample, consistent with other studies on postinfectious and other forms of OCD,14 would have significant comorbidity with other psychopathologic conditions, including attention-deficit/hyperactivity disorder, affective disorders, and anxiety disorders.

PARTICIPANTS

This study uses data from the Native Hawaiian Mental Health Research Development Program that were initially collected to investigate psychiatric symptoms, cultural identification, and other social variables among high school students in Hawaii. A total of 619 adolescents were selected for interview from a larger study that surveyed 7317 students, or 60% of the enrollment population of 5 high schools on 3 different islands in the state of Hawaii in the period from April 5, 1993, to May 7, 1996. The sample has been described in detail in earlier articles.1216

Participants for this study were selected in a modified random sampling composed of 590 randomly selected students (8.5% of the larger study) and 29 "at-risk" students1 (29 [0.70%] of 4164 of the 1992-1993 school year cohort) who represented students who responded positively to self, family member, or friend having "tried to commit suicide" within the past 6 months, and who had a sum score of 35 or more on the Center for Epidemiologic Studies–Depression Scale17). Given the criteria for these latter 29 adolescents, they were at risk for depression. There were 290 male and 329 female subjects, ranging in age (based on self-report) from 13 to 19 years, with a mean (SD) age of 15.80 (1.23) years.

Six mutually exclusive ethnic groups were formed—white, Filipino, Native Hawaiian or part Hawaiian, Japanese, mixed and non-Hawaiian, and other nonmixed. Because less than 1% of Native Hawaiians are of nonmixed ancestry,18 Native Hawaiian ("Hawaiian" hereafter) was defined as an adolescent with any Hawaiian ancestry (ie, either parent with Hawaiian ancestry). Those of mixed ethnicity, but no Hawaiian ancestry were categorized as mixed and non-Hawaiians. There were only 6 adolescents who were of only 1 ancestry other than Hawaiian, white, Filipino, or Japanese.

Because of the small sample size for Samoans with no mixed ancestry (n = 2) and the higher frequency of adolescents who were both part Samoan and part Hawaiian, the Samoan or part Samoan participants were examined from 3 of the ethnic groups (ie, 18 part Hawaiians, 5 mixed and non-Hawaiians, and 2 other nonmixed [Samoans with no mixed ancestry]). Because the Samoan or part Samoan group was not mutually exclusive to 3 of the 6 ethnic samples described above, data from the Samoan or part Samoan group were analyzed separately in comparison with the remaining participants. As a measure of Polynesian (ie, Hawaiian or Samoan) ancestry, a code of 0 was used for those with no Polynesian heritage; 1, for those who had at least some Polynesian ancestry; and 2, for those who had only Polynesian ancestry.

MEASURES
Hawaiian Cultural Identification

This domain was measured by the following 2 indicators: (1) value Hawaiian traditions ("How much do you value Hawaiian beliefs, behaviors, and attitudes?") and (2) maintain Hawaiian traditions ("How important is it to you to maintain Hawaiian cultural traditions?") rated on a scale from 1 (not at all) to 5 (very much). These 2 measures have been found to be reliable and valid indicators of Hawaiian cultural identification.19

Diagnostic Interview Schedule for Children in Diagnosing OCD

The Diagnostic Interview Schedule for Children (DISC, Computerized Version 2.3)2022 was administered to the adolescents through lay-performed, face-to-face, structured interviews at the school site and was used to diagnose OCD based on current and the past 6-month symptoms and functional impairment according to the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition.23

Crowding in the Household and Other Measures of SES

Crowding was measured by, "How many people live in your home?" Two indicators of SES were used. First, the main wage earners' education was determined based on collapsing 7 categories of education into 4: (1) less than high school, (2) high school graduate or General Educational Development certificate, (3) some college or community college, and (4) college graduate, master's degree, or doctoral degree (PhD, medical, law). Second, the main wage earners' employment status was defined based on collapsing 7 categories of employment into 4: (1) unemployed, welfare, or disability; (2) employed part-time or retired; (3) self-employed or own business or farm; and (4) employed full-time.

Physical Health and Health-Seeking Behavior

Five indicators were used: (1) "During the last month, how much has your physical health worried or concerned you?" (1, not at all concerned; 5, very much concerned). (2) "Do you think you are healthier than most people your age, not as healthy as most of them, or do you think that your health is just about the same as most people your age?" (1, not as healthy as others; 5, healthier than others). (3) "In the past 6 months, how many times have you gone to see a nurse or doctor?" (1, never; 5, ≥5 times). (4) "In the past 6 months, how many times have you gone to see a Native Hawaiian healer (eg, a kahuna lapa‘au)?" (1, never; 5, ≥5 times). (5) "During the past month of school, how many days were you absent because you were sick?" (1, none; 5, ≥8 days).

Psychopathologic Features

Adjustment difficulties were assessed using: (1) the Center for Epidemiologic Studies–Depression Scale for depressive symptoms (total score = 0-60)17; (2) the State subscale of the State-Trait Anxiety Inventory for Adults for anxiety symptoms (total score = 0-60)24; (3) the Braver Aggressiveness Dimension Scale for aggressive symptoms (total score = 0-28)25; (4) the Substance Abuse Subtle Screening Inventory–Adolescent version (6 face-valid items from the entire inventory for substance use; total score = 0-6)26; (5) "I have used alcohol or ‘pot' too much or too often" (false, 0; true, 1; 1 of 6 items from the Substance Abuse Subtle Screening Inventory–Adolescent version ); (6) "During the last month, how much has your mental (emotional) health worried or concerned you?" (rated on a 5-point scale where 1 indicated not at all concerned; 5, very much concerned); (7) "When did you last have counseling (dormitory counselor, school counselor, testing for personal problems), or any other mental health service?" (rated on a 5-point scale where 1 indicated never; 5, within the last 6 months); (8) DISC diagnosis of attention-deficit/hyperactivity disorder; (9) DISC diagnosis of movement disorder (including tic disorders); (10) DISC diagnosis of marijuana abuse or dependency; and (11) self-reported academic grades. The latter measure was assessed with, "On the average, what were your grades on your last report card?" with grade choices of (values in parentheses are the quantification of the grade variable; these values did not appear on the questionnaire): A (4.0), A− (3.7), B+ (3.3), B (3.0), B− (2.7), C+ (2.3), C (2.0), C− (1.7), "D or less" (1.0), or "Don't know" (converted to a missing score).

PROCEDURES

Consenting students were first administered the Hawaiian High Schools Health Survey, a booklet of psychosocial-cultural measures assessed through student self-report. Subsequently, a subset of the adolescents were selected to participate in the DISC. All parents were informed of the interviews; their absence of refusal and the student's willingness to participate implied consent. All procedures were approved by the Committee on Human Studies (institutional review board) of the University of Hawaii at Manoa.

DATA ANALYSES

The OCD prevalence rates were calculated for dichotomous (eg, DISC attention-deficit/hyperactivity disorder) and categorical variables (eg, ethnic group). To test for statistical significance in the association with OCD, logistic regression analyses were performed instead of linear multiple regressions because of the dichotomous measure of OCD.

PREVALENCES OF CURRENT OCD

Table 1 lists the fractions, unweighted prevalence rates (not adjusting for the 29 at-risk students), and univariate logistic regression results for each ethnic group. The overall prevalence was 12.0% (74/619). Hawaiians and Samoans were the only ethnic groups with odds ratios (ORs) greater than 1.0, with Hawaiians having a 2-fold (OR = 2.03) risk compared with non-Hawaiians.

Table Graphic Jump LocationTable 1. Unweighted Prevalence Rates of Obsessive-compulsive Disorder by Ethnic Group for 619 Participants

Based on the degree of Hawaiian ancestry, OCD prevalence rates were as follows: no Hawaiian ancestry, 8.2% (21/256); less than 50% Hawaiian, 11.3% (22/194); 50% or more Hawaiian (but <100%), 18.9% (27/143); and 100% Hawaiian, 33.3% (1/3). When these 4 categories were treated as a continuous variable, univariate logistic regression analysis revealed a statistically significant association between OCD prevalence and degree of Hawaiian ancestry (Table 2). The OR of 1.63 indicated that for every unit increase in Hawaiian ancestry (eg, going from no Hawaiian ancestry to <50% Hawaiian ancestry), there was a 1.63-fold increase in risk for OCD.

Table Graphic Jump LocationTable 2. Associations With Obsessive-compulsive Disorder Based on Univariate Logistic Regression Analyses

Based on the degree of Polynesian ancestry, OCD prevalence rates were: no Polynesian ancestry, 7.6% (18/237); some Polynesian ancestry, 15.1% (51/338); and only Polynesian ancestry, 33.3% (3/9). The positive association between Polynesian ancestry and OCD prevalence rates was statistically significant (Table 2), with a greater than 2-fold increase for each unit increase in Polynesian ancestry.

There were significant positive associations with the OCD rates and the 2 indicators of Hawaiian cultural identification (Table 2). For example, the OCD rates for the adolescents whose ratings were from 1 through 3 on the value item were 8.33% (4/48), 8.82% (6/68), and 8.95% (17/190), respectively; whereas the OCD rates for those whose ratings were 4 and 5 were 14.91% (24/161) and 16.06% (22/137), respectively.

Similarly, the OCD rates for the students whose ratings were from 1 through 3 on the maintain item were 7.84% (4/51), 7.87% (7/89), and 7.74% (12/155), respectively; whereas the OCD rates for those whose ratings were 4 and 5 were 12.42% (19/153) and 20.00% (31/155), respectively.

To determine whether Hawaiian ancestry, Hawaiian cultural identification, or both were uniquely associated with the OCD rates, a series of multiple logistic regression analyses were performed. When both Hawaiian ancestry (0%-100% Hawaiian heritage) and a valuing of Hawaiian traditions were entered into the model, only Hawaiian ancestry remained significantly associated with OCD rates (Hawaiian ancestry, Wald χ2[sub] = 6.70, R2 = 0.015, P = .01, OR = 1.53 [95% confidence interval (CI), 1.11-2.12]; value Hawaiian traditions, Wald χ2[sub] = 0.95, R2 = 0.002, P = .33, OR = 1.12 [95% CI, 0.89-1.42]). However, when Hawaiian ancestry and maintaining Hawaiian traditions were entered into the model, both remained significantly associated with the OCD rates (Hawaiian ancestry, Wald χ2[sub] = 3.92, R2 = 0.009, P = .047, OR = 1.39 [95% CI, 1.00-1.93]; maintaining Hawaiian traditions, Wald χ2[sub] = 5.17, R2 = 0.01, P = .02, OR = 1.31 [95% CI, 1.04-1.66]).

The interaction effects of Hawaiian ancestry × value Hawaiian tradition (Wald χ2[sub] = 0.35, P = .56) and Hawaiian ancestry × maintaining Hawaiian tradition (Wald χ2[sub] = 0.84, P = .36) were nonsignificant, indicating that the predicted regressions between valuing Hawaiian tradition and OCD rates were uniform across Hawaiian ancestry levels, and that the predicted regressions between maintaining Hawaiian tradition and OCD rates were also uniform across Hawaiian ancestry levels.

The prevalence rates among male and female participants in the study sample were 7.2% (21/290) and 16.1% (53/329), respectively. The association between age and OCD was not statistically significant (data not shown).

CROWDING IN THE HOUSEHOLD AND OTHER MEASURES OF SES

The mean (SD) and sample size of the number of people in the home were calculated for each of the mutually exclusive ethnic groups. The following results were obtained: white, 3.46 (0.97), n = 13; Filipino, 5.96 (2.03), n = 26; Hawaiian, 5.42 (2.28), n = 279; Japanese, 3.96 (1.15), n = 45; mixed or non-Hawaiian, 4.33 (1.57), n = 85; and other nonmixed, 7.00 (4.58), n = 3. The overall F ratio of a multiple regression analysis comparing the different means was statistically significant (F[sub] = 9.69, P<.001, R2 = 0.10). A Newman-Keuls subsequent test revealed the following significant differences: (1) other exceeding mixed and non-Hawaiian, Japanese, and white and (2) Filipino exceeding white. When examining the association between the number of people in the home and OCD diagnosis, the greater the number of people in the home, the higher the OCD prevalence (Table 2). The prevalence rates by the main wage earners' education were as follows: less than high school, 20.0% (9/45); high school graduate, 15.6% (24/154); some college, 11.0% (16/146); and college graduate or higher, 10.7% (21/196). There was a trend whereby the lower the main wage earners' education the higher the OCD rate (Table 2).

The prevalence rates by the main wage earners' employment status were as follows: unemployed or receiving welfare or disability, 16.7% (7/42); employed part-time or retired, 13.3% (8/60); self-employed or own business or farm, 15.3% (9/59); and employed full-time, 11.9% (49/413). There was no significant relation between OCD prevalence and employment status (Table 2).

PHYSICAL HEALTH AND HEALTH-SEEKING BEHAVIOR

All 5 physical-health indicators were significantly associated with the presence of OCD, with better physical health related to lower levels of OCD (Table 2).

PSYCHOPATHOLOGIC FEATURES

Table 2 summarizes the 11 psychopathologic variables in association with OCD presence. Only DISC movement disorders, DISC marijuana abuse or dependency, and self-reported academic grades were not significantly associated with OCD although the latter variable indicated a trend (P = .057). Depressive, anxiety, and aggressive symptoms accounted for the largest variance (R2).

Obsessive-compulsive disorder prevalence rates for the dichotomous variables were as follows: (1) Substance Abuse Subtle Screening Inventory—Adolescent version item on alcohol or pot use (no, 10.6% [54/508]; yes, 21.8% [17/78]); (2) DISC attention-deficit/hyperactivity disorder (no, 10.7% [63/591]; yes, 37.5% [6/16]); (3) DISC movement disorders (no, 15.9% [23/145]; yes, 33.3% [1/3]); and (4) DISC marijuana abuse or dependency (no, 11.1% [64/576]; yes, 15.8% [6/38]).

The ethnic differences in OCD prevalence are striking, bearing some resemblance to the pattern of risks for rheumatic fever in Hawaii79 and Samoa.27 The highest risks are in Samoans (relative risks [RRs] of 10.8, 88.0, and 56.0 in the Chun et al79 1976-1980, 1980-1984, and 1984-1988 data sets, respectively) and Hawaiians (RRs of 3.0, 7.7, and 11.7, respectively), a possibly increased risk in Filipinos (RRs of 1.0, 1.9, and 1.0, respectively; with a high OR in the Kurahara data10), and lower risks in whites (RRs of 1.0, 1.0, and 1.0, respectively), and Japanese (RRs of 0, 0.8, and 0). In comparison with youth of other ethnicities, Hawaiians and Samoans may be at significantly higher risk for both OCD and rheumatic fever. The correlation between Hawaiian and other Polynesian blood quantum and risk for OCD suggests the need to consider concurrent hereditary factors that predispose to both conditions via separate mechanisms (Cheadle28 for a report, from 1889, on the apparent tendency of rheumatic fever to be inherited, along with a tendency toward "nervous excitability") or immunogenetic factors (Kurahara et al10) that might predispose to both rheumatic fever and streptococcal-related OCD.

Cultural factors that possibly affect detection of OCD via the DISC may also need to be considered, although measures of Hawaiian cultural identification did not consistently predict OCD rate beyond Hawaiian ancestry. Furthermore, a separate analysis (data not shown) of individual OCD criteria did not reveal any significant differences between Hawaiians and non-Hawaiians, and selected members of our Native Hawaiian Mental Health Research team, on careful review of the DISC, did not believe that Hawaiian adolescents might misinterpret any of the questions.

Environmental factors may also explain the high OCD rate. In our study, the number of people in the household correlated significantly with OCD, while other measures of SES did not. This significant correlation seems to be consistent with the hypothesis of an infectious cause, although it is possible that other factors, not elucidated in this study, may correlate with both OCD and household crowding specifically.

The positive correlation between OCD, physical health problems, physician and other healer visits, and school absences may suggest that youth with OCD, tend to worry about their physical health and seek medical attention from various sources; or that these youth have a higher rate of exposure to infections that could exacerbate OCD. Unfortunately, the data set also did not include any information about the specifics of the health concerns or medical visits or about family history of rheumatic fever.

Our finding of comorbidity between OCD and depressive symptoms, anxiety symptoms, and aggressive symptoms is similar to findings from previous studies of postinfectious and other subtypes of OCD.14 In our study, symptoms of depression was the single best predictor of OCD prevalence. These results suggest the need to consider comorbid illnesses in youth who have OCD and/or to consider OCD and its possible origins in children who initially have symptoms of anxiety, depression, or aggression.

If a poststreptococcal autoimmune neuropsychiatric syndrome had affected a significant portion of our study sample, then we might have expected mostly prepubertal onset of OCD, a high prevalence of tics, and a high rate of comorbidity between OCD and tics. However, our study was limited by the unavailability of any information about remote history of OCD symptoms and tics and by the absence of any other assessments for tics (which may not be optimally measured by self-report). Future studies would need to include a larger sample, other clinical evaluation, and a broader age spectrum, and/or additional information about longitudinal course of OCD symptoms and tics29 to more satisfactorily assess this possibility.

Limitations of our study include the few subjects in certain ethnic categories (eg, Samoan); the possibility that the unavailability of the students absent from school may have artificially reduced findings of psychopathologic conditions; the lack of any confirmatory information collected from parents, medical records, and other sources; and the unavailability of specific data that might have enabled clarification of certain hypotheses. A further limitation was the inclusion of the 29 at-risk participants coupled with not using weights. This was done to maintain the sample size, and the weights were not used given the smaller groupings of participants in the present investigation. The end result is that the OCD prevalence rates reported were slight overestimates. However, although the 29 at-risk participants had a significantly higher prevalence of OCD (11 [37.9%] of 29 subjects) compared with the remaining adolescents (63 [10.7%] of 590 subjects) (univariate logistic regression χ21 = 13.6, P<.001, OR = 5.1, OR 95% CI, 2.3-11.3), the 10.7% rate for the remaining sample was still high relative to previously reported rates. In addition, being in the at-risk group was not significantly related to being in the Hawaiian (logistic χ21 = 0.00, P = .95), Samoan (logistic χ21 = 0.03, P = .85), or Polynesian groups (logistic χ21 = 0.00, P = .98).

An additional issue is to consider the reliability and validity of the DISC OCD diagnosis in light of the high rates. Clinical interview (performed by one of us [N.N.A.]) of 5 of the adolescents diagnosed as having OCD via the DISC provided confirmation of the diagnosis. However, this study did not include parental interviews, which could have improved the sensitivity of the DISC,30 and did not include confirmatory clinical interviews of all adolescents diagnosed with OCD. Although further research on the validity of the DISC and the OCD diagnosis in Polynesian youth is warranted, Horwath and Weissman,31 using the structured Diagnostic Interview Schedule, found consistent patterns of OCD prevalence in their cross-national sample. The findings of the present study (eg, correlations with psychiatric symptoms) would suggest that the DISC OCD diagnosis is reliable and valid, and the relatively large sample with an OCD diagnosis may provide further opportunities to validate this instrument.

Overall, our findings of increased OCD risk with Polynesian ethnicity and association with household crowding and physical illness suggest the need to consider the possibility of a streptococcal origin and the need for further studies to clarify other causative factors, especially among the Hawaiian and Samoan populations.

Corresponding author and reprints: Anthony P. S. Guerrero, MD, Department of Psychiatry, John A. Burns School of Medicine, University of Hawaii, Queen's University Tower, Fourth Floor, 1356 Lusitana St, Honolulu, HI 96813 (e-mail: guerreroA@dop.hawaii.edu).

Accepted for publication February 6, 2003.

This study was supported by Research Centers in Minority Institutions Supplement grant RR0361-06S1, from the National Institutes of Health, Bethesda, Md; grants 1 R24MH5015-01 and 1 R24MH57079-01A1, from the National Institute of Mental Health, Bethesda; the Queen Emma Foundation, Honolulu, Hawaii; and the Native Hawaiian Center of Excellence, Honolulu.

We thank the researchers and administrators of the Native Hawaiian Mental Health Research Development Program.

What This Study Adds

Streptococcal infections have been shown to be causative in a subgroup of pediatric patients with OCD. Native Hawaiian and other Polynesian youth are at an increased risk for streptococcal infections and their autoimmune sequelae. To our knowledge, this pilot, retrospective analysis is the first study to describe OCD occurring in a multiethnic sample in Hawaii. This study found an increased OCD risk with factors that are also associated with increased rheumatic fever risk, including Polynesian ancestry and apparent household crowding. Although these findings are preliminary, they suggest the need for further studies.

Andrade  NNHishinuma  ESMcDermott Jr  JF  et al.  Prevalence of mental disorders in Native Hawaiian adolescents.  Paper presented at: Annual Meeting of the American Academy of Child and Adolescent Psychiatry October 26, 2001 Honolulu, Hawaii
Zohar  AHRatzoni  GPauls  DL  et al.  An epidemiological study of obsessive-compulsive disorder and related disorders in Israeli adolescents. J Am Acad Child Adolesc Psychiatry. 1992;311057- 1061
PubMed
Flament  MFWhitaker  ARapoport  JL  et al.  Obsessive compulsive disorder in adolescence: an epidemiological study. J Am Acad Child Adolesc Psychiatry. 1988;27764- 771
PubMed
Douglass  HMMoffitt  TEDar  RMcGee  RSilva  P Obsessive-compulsive disorder in a birth cohort of 18-year olds: prevalence and predictors. J Am Acad Child Adolesc Psychiatry. 1995;341424- 1431
PubMed
Swedo  SELeonard  HLGarvey  M  et al.  Pediatric autoimmune neuropsychiatric disorders associated with streptococcal infections: clinical description of the first 50 cases. Am J Psychiatry. 1998;155264- 271
PubMed
Murphy  MLPichichero  ME Prospective identification and treatment of children with pediatric autoimmune neuropsychiatric disorder associated with group A streptococcal infection (PANDAS). Arch Pediatr Adolesc Med. 2002;156356- 361
PubMed
Chun  LTReddy  DVYim  GKYamamoto  LG Acute rheumatic fever in Hawaii: 1966-1988. Hawaii Med J. 1992;51206- 211
Chun  LTReddy  DVYamamoto  LG Rheumatic fever in children and adolescents in Hawaii. Pediatrics. 1987;79549- 552
PubMed
Chun  LTReddy  DVRhoads  GG Occurrence and prevention of rheumatic fever among ethnic groups of Hawaii. AJDC. 1984;138476- 478
PubMed
Kurahara  DKTokuda  AAGrandinetti  A  et al.  Ethnic differences in risk for pediatric rheumatic illness in a culturally diverse population. J Rheumatol. 2002;29379- 383
PubMed
Cheadle  WB Various manifestations of the rheumatic state as exemplified in childhood and early life, lecture I. Lancet. 1889;1821- 827
Andrade  NNJohnson  RCEdman  J  et al.  Non-traditional and traditional treatment of Hawaiian and non-Hawaiian adolescents. Hawaii Med J. 1994;53344- 347
PubMed
Prescott  CAMcArdle  JJHishinuma  ES  et al.  Prediction of major depression and dysthymia from CES-D scores among ethnic minority adolescents. J Am Acad Child Adolesc Psychiatry. 1998;37495- 503
PubMed
Leonard  HLSwedo  SEGarvey  M  et al.  Postinfectious and other forms of obsessive-compulsive disorder. Child Adolesc Psychiatr Clin N Am. 1999;8497- 511
PubMed
Department of Education, State of Hawaii, School Status and Improvement, School Year 1997-98: Individual School Reports.  Honolulu Dept of Education, State of Hawaii1997-1998;
Native Hawaiian Mental Health Research Development Program, Native Hawaiian Mental Health Research Development Program (NHMHRDP): Program Summary and Database Variable Codes.  Honolulu Native Hawaiian Mental Health Research Development Program, Dept of Psychiatry, University of Hawaii1999;
Radloff  LS The CES-D scale: a self-report depression scale for research in the general population. Appl Psychological Meas. 1977;1385- 401
Department of Business, Economic Development, and Tourism, State of Hawaii, The State of Hawaii Data Book, 1995: A Statistical Abstract.  Honolulu Dept of Business, Economic Development, and Tourism, State of Hawaii1995;
Hishinuma  ESAndrade  NNJohnson  RC  et al.  Psychometric properties of the Hawaiian Culture Scale–Adolescent Version. Psychol Assess. 2000;12140- 157
PubMed
Lahey  BBFlagg  EWBird  HR  et al.  The NIMH methods for the epidemiology of child and adolescent mental disorders (MECA) study: background and methodology. J Am Acad Child Adolesc Psychiatry. 1996;35855- 864
PubMed
Schwab-Stone  MEShaffer  DDulcan  MK  et al.  Criterion validity of the NIMH Diagnostic Interview Schedule for Children Version 2.3 (DISC 2.3). J Am Acad Child Adolesc Psychiatry. 1996;35878- 888
PubMed
Shaffer  DFisher  PDulcan  MK  et al.  The NIMH Diagnostic Interview Schedule for Children Version 2.3 (DISC-2.3): description, acceptability, prevalence rates, and performance in the MECA study. J Am Acad Child Adolesc Psychiatry. 1996;35865- 877
PubMed
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition.  Washington, DC American Psychiatric Association1987;
Spielberger  CDGorsuch  RLLushene  RE State-Trait Anxiety Inventory for Adults (Form X).  Palo Alto, Calif Consulting Psychologists Press1970;
Braver  SLFogas  BSandler  IWolchik  S Development of a self-report aggressiveness scale for children: The Braver Aggressiveness Dimension Scale (BADS).  Poster session presented at: Annual Meeting of the Western Psychological Association May 3, 1986 Seattle, Wash.
Miller  G Substance Abuse Subtle Screening Inventory—Adolescent (SASSI-A) Manual.  Spencer, Ind Spencer Evening World1985;
Steer  ACAdams  JCarlin  JNolan  TShann  F Rheumatic heart disease in school children in Samoa. Arch Dis Child. 1999;81372
PubMed
Cheadle  WB Various manifestations of the rheumatic state as exemplified in childhood and early life, lecture II. Lancet. 1889;1871- 877
Peterson  BSPine  DSCohen  PBrook  JS Prospective, longitudinal study of tic, obsessive-compulsive, and attention-deficit/hyperactivity disorders in an epidemiological sample. J Am Acad Child Adolesc Psychiatry. 2001;40685- 695
PubMed
Fisher  PWShaffer  DPiacentini  JC  et al.  Sensitivity of the Diagnostic Interview Schedule for Children, 2nd edition (DISC-2.1) for specific diagnoses of children and adolescents. J Am Acad Child Adolesc Psychiatry. 1993;32666- 673
PubMed
Horwath  EWeissman  MM The epidemiology and cross-national presentation of obsessive-compulsive disorder. Psychiatr Clin North Am. 2000;23493- 507
PubMed

Figures

Tables

Table Graphic Jump LocationTable 1. Unweighted Prevalence Rates of Obsessive-compulsive Disorder by Ethnic Group for 619 Participants
Table Graphic Jump LocationTable 2. Associations With Obsessive-compulsive Disorder Based on Univariate Logistic Regression Analyses

References

Andrade  NNHishinuma  ESMcDermott Jr  JF  et al.  Prevalence of mental disorders in Native Hawaiian adolescents.  Paper presented at: Annual Meeting of the American Academy of Child and Adolescent Psychiatry October 26, 2001 Honolulu, Hawaii
Zohar  AHRatzoni  GPauls  DL  et al.  An epidemiological study of obsessive-compulsive disorder and related disorders in Israeli adolescents. J Am Acad Child Adolesc Psychiatry. 1992;311057- 1061
PubMed
Flament  MFWhitaker  ARapoport  JL  et al.  Obsessive compulsive disorder in adolescence: an epidemiological study. J Am Acad Child Adolesc Psychiatry. 1988;27764- 771
PubMed
Douglass  HMMoffitt  TEDar  RMcGee  RSilva  P Obsessive-compulsive disorder in a birth cohort of 18-year olds: prevalence and predictors. J Am Acad Child Adolesc Psychiatry. 1995;341424- 1431
PubMed
Swedo  SELeonard  HLGarvey  M  et al.  Pediatric autoimmune neuropsychiatric disorders associated with streptococcal infections: clinical description of the first 50 cases. Am J Psychiatry. 1998;155264- 271
PubMed
Murphy  MLPichichero  ME Prospective identification and treatment of children with pediatric autoimmune neuropsychiatric disorder associated with group A streptococcal infection (PANDAS). Arch Pediatr Adolesc Med. 2002;156356- 361
PubMed
Chun  LTReddy  DVYim  GKYamamoto  LG Acute rheumatic fever in Hawaii: 1966-1988. Hawaii Med J. 1992;51206- 211
Chun  LTReddy  DVYamamoto  LG Rheumatic fever in children and adolescents in Hawaii. Pediatrics. 1987;79549- 552
PubMed
Chun  LTReddy  DVRhoads  GG Occurrence and prevention of rheumatic fever among ethnic groups of Hawaii. AJDC. 1984;138476- 478
PubMed
Kurahara  DKTokuda  AAGrandinetti  A  et al.  Ethnic differences in risk for pediatric rheumatic illness in a culturally diverse population. J Rheumatol. 2002;29379- 383
PubMed
Cheadle  WB Various manifestations of the rheumatic state as exemplified in childhood and early life, lecture I. Lancet. 1889;1821- 827
Andrade  NNJohnson  RCEdman  J  et al.  Non-traditional and traditional treatment of Hawaiian and non-Hawaiian adolescents. Hawaii Med J. 1994;53344- 347
PubMed
Prescott  CAMcArdle  JJHishinuma  ES  et al.  Prediction of major depression and dysthymia from CES-D scores among ethnic minority adolescents. J Am Acad Child Adolesc Psychiatry. 1998;37495- 503
PubMed
Leonard  HLSwedo  SEGarvey  M  et al.  Postinfectious and other forms of obsessive-compulsive disorder. Child Adolesc Psychiatr Clin N Am. 1999;8497- 511
PubMed
Department of Education, State of Hawaii, School Status and Improvement, School Year 1997-98: Individual School Reports.  Honolulu Dept of Education, State of Hawaii1997-1998;
Native Hawaiian Mental Health Research Development Program, Native Hawaiian Mental Health Research Development Program (NHMHRDP): Program Summary and Database Variable Codes.  Honolulu Native Hawaiian Mental Health Research Development Program, Dept of Psychiatry, University of Hawaii1999;
Radloff  LS The CES-D scale: a self-report depression scale for research in the general population. Appl Psychological Meas. 1977;1385- 401
Department of Business, Economic Development, and Tourism, State of Hawaii, The State of Hawaii Data Book, 1995: A Statistical Abstract.  Honolulu Dept of Business, Economic Development, and Tourism, State of Hawaii1995;
Hishinuma  ESAndrade  NNJohnson  RC  et al.  Psychometric properties of the Hawaiian Culture Scale–Adolescent Version. Psychol Assess. 2000;12140- 157
PubMed
Lahey  BBFlagg  EWBird  HR  et al.  The NIMH methods for the epidemiology of child and adolescent mental disorders (MECA) study: background and methodology. J Am Acad Child Adolesc Psychiatry. 1996;35855- 864
PubMed
Schwab-Stone  MEShaffer  DDulcan  MK  et al.  Criterion validity of the NIMH Diagnostic Interview Schedule for Children Version 2.3 (DISC 2.3). J Am Acad Child Adolesc Psychiatry. 1996;35878- 888
PubMed
Shaffer  DFisher  PDulcan  MK  et al.  The NIMH Diagnostic Interview Schedule for Children Version 2.3 (DISC-2.3): description, acceptability, prevalence rates, and performance in the MECA study. J Am Acad Child Adolesc Psychiatry. 1996;35865- 877
PubMed
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition.  Washington, DC American Psychiatric Association1987;
Spielberger  CDGorsuch  RLLushene  RE State-Trait Anxiety Inventory for Adults (Form X).  Palo Alto, Calif Consulting Psychologists Press1970;
Braver  SLFogas  BSandler  IWolchik  S Development of a self-report aggressiveness scale for children: The Braver Aggressiveness Dimension Scale (BADS).  Poster session presented at: Annual Meeting of the Western Psychological Association May 3, 1986 Seattle, Wash.
Miller  G Substance Abuse Subtle Screening Inventory—Adolescent (SASSI-A) Manual.  Spencer, Ind Spencer Evening World1985;
Steer  ACAdams  JCarlin  JNolan  TShann  F Rheumatic heart disease in school children in Samoa. Arch Dis Child. 1999;81372
PubMed
Cheadle  WB Various manifestations of the rheumatic state as exemplified in childhood and early life, lecture II. Lancet. 1889;1871- 877
Peterson  BSPine  DSCohen  PBrook  JS Prospective, longitudinal study of tic, obsessive-compulsive, and attention-deficit/hyperactivity disorders in an epidemiological sample. J Am Acad Child Adolesc Psychiatry. 2001;40685- 695
PubMed
Fisher  PWShaffer  DPiacentini  JC  et al.  Sensitivity of the Diagnostic Interview Schedule for Children, 2nd edition (DISC-2.1) for specific diagnoses of children and adolescents. J Am Acad Child Adolesc Psychiatry. 1993;32666- 673
PubMed
Horwath  EWeissman  MM The epidemiology and cross-national presentation of obsessive-compulsive disorder. Psychiatr Clin North Am. 2000;23493- 507
PubMed

Correspondence

CME
Meets CME requirements for:
Browse CME for all U.S. States
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).
Submit a Comment

Multimedia

Some tools below are only available to our subscribers or users with an online account.

Web of Science® Times Cited: 17

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Topics
PubMed Articles