Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2010 Jun 28.
Published in final edited form as: Epidemiol Rev. 2009 Jun 16;31:113–129. doi: 10.1093/ajerev/mxp004

Cardiometabolic Health Disparities in Native Hawaiians and Other Pacific Islanders

Marjorie K Mau 1, Ka‘imi Sinclair 1, Erin P Saito 1, Kau‘i N Baumhofer 1, Joseph Keawe‘aimoku Kaholokula 1
PMCID: PMC2893232  NIHMSID: NIHMS189638  PMID: 19531765

Abstract

Elimination of health disparities in the United States is a national health priority. Cardiovascular disease, diabetes, and obesity are key features of what is now referred to as the “cardiometabolic syndrome,” which disproportionately affects racial/ethnic minority populations, including Native Hawaiians and other Pacific Islanders (NHOPI). Few studies have adequately characterized the cardiometabolic syndrome in high-risk populations such as NHOPI. The authors systematically assessed the existing literature on cardiometabolic disorders among NHOPI to understand the best approaches to eliminating cardiometabolic health disparities in this population. Articles were identified from database searches performed in PubMed and MEDLINE from January 1998 to December 2008; 43 studies were included in the review. There is growing confirmatory evidence that NHOPI are one of the highest-risk populations for cardiometabolic diseases in the United States. Most studies found increased prevalences of diabetes, obesity, and cardiovascular risk factors among NHOPI. The few experimental intervention studies found positive results. Methodological issues included small sample sizes, sample bias, inappropriate racial/ethnic aggregation of NHOPI with Asians, and a limited number of intervention studies. Significant gaps remain in the understanding of cardiometabolic health disparities among NHOPI in the United States. More experimental intervention studies are needed to examine promising approaches to reversing the rising tide of cardiometabolic health disparities in NHOPI.

Keywords: cardiovascular diseases, diabetes mellitus, healthcare disparities, health status disparities, metabolic syndrome X, minority groups, minority health, obesity

INTRODUCTION

The prevalence of cardiometabolic disorders, including cardiovascular disease, diabetes, and obesity, has reached epidemic proportions worldwide. Prevalences of diabetes and cardiovascular disease among ethnic minorities in the United States exceed those seen in the general population (17). Because of the excess health burden of cardiovascular disease and diabetes in ethnic minorities, cardiometabolic risk, as the precursor of these diseases, provides a specific target for conducting investigations that aim to reverse and/or eliminate these disparities. Moreover, obesity, as one of the central pathophysiologic mechanisms underlying the syndrome of cardiometabolic risk, might constitute an earlier “upstream” target for treatment and prevention that could be effective in reducing excess morbidity.

In this review, we focused on cardiometabolic health disparities among Native Hawaiians and other Pacific Islanders (NHOPI). As a federal designation, “Native Hawaiian or Other Pacific Islander” refers to persons with origins in any of the original peoples of the islands of Polynesia, Micronesia, and Melanesia (8). The first Polynesian settlers of the Hawaiian Islands are thought to have migrated from the Marquesas Islands as early as 100 B.C.E., some 2,000 years ago (9). Hawaiians lived in isolation until 1778, when European explorers brought with them deadly foreign infectious diseases that decimated the Native population. Colonization and the eventual overthrow of the Hawaiian monarchy resulted in a loss of land and political power, as well as traditional practices and customs, including the near extinction of the Hawaiian language (9).

Events such as the cultural revival referred to as the “Hawaiian Renaissance,” the return of the island of Kahoolawe to the Hawaiian people, the formation of political bodies such as the Office of Hawaiian Affairs, the public recognition of the illegal overthrow of the Hawaiian monarchy, and the ongoing voyages of the Hokule‘a using historical navigation techniques of Native Hawaiians serve to highlight the resiliency and strength of this population. However, despite these positive social and political developments, NHOPI are overrepresented in lower socioeconomic groups, report greater difficulties in obtaining health care, and may be affected by internalized racism as a consequence of their historical experience of disenfranchisement and loss of power within their traditional homeland (1012). In addition, NHOPI continue to bear a disproportionate burden of disease, including cardiovascular disease and diabetes.

Today, the state of Hawai‘i has the largest population of Native Hawaiians in the United States, followed by California. Among ethnic subgroups in Hawai‘i, Native Hawaiians have the highest prevalence of diagnosed diabetes (11.5%), with reported prevalences ranging from 19% to 22% for type 2 diabetes and from 16% to 35% for impaired glucose tolerance (5, 13, 14). Cardiovascular disease mortality among Native Hawaiians in 2004 was more than twice that in Japanese, who had the lowest rates (372 per 100,000 population vs. 167 per 100,000 population), and diabetes-related mortality was 3 times higher in Native Hawaiians than in Caucasians (39 per 100,000 population vs. 13 per 100,000 population) (6). The Native Hawaiian Health Research (NHHR) Project examined the relation between a clustering of cardiovascular risk factors and biochemical markers of insulin resistance (fasting insulin and C-peptide levels) (7). The investigators found that fasting insulin concentrations were correlated with body mass index, waist-to-hip ratio, blood pressure, and levels of triglyceride, high density lipoprotein cholesterol, and glucose. A significant correlation was also found between increasing insulin resistance and increased clustering of cardiovascular disease risk factors. The NHHR study, in addition to a limited number of other studies on NHOPI, suggests that significant disparities occur between and among these populations. The purpose of this review was to systematically assess the state of the science related to cardiovascular disease, diabetes, and adiposity among NHOPI.

METHODS

Database searches were performed in PubMed and MED-LINE for the time period of January 1998 to December 2008, with keyword combinations of the following racial/ethnic groups in an “OR” search term: Native Hawaiian, Hawaiian, Pacific Islander, Samoan, Tongan, Micronesian, New Zealand, Maori, Melanesia, Chamorro, Guamanian, Fijian, and Polynesian (Figure 1). The racial/ethnic groups were then included in combination with the following terms defined as an “OR” function: minority, minorities, groups, ethnicity, and ethnicities. The above racial/ethnic AND minorities search term was identified as a “Set A” keyword search. Results from the Set A keyword search were then combined with Set B keywords as an “OR” search term which included the following: inequity, inequality, health disparities, health differences, cardiovascular, hypertension, heart, heart failure, heart disease, heart disease risk factors, cardiac, cardiomyopathy, diabetes, syndrome X, metabolic syndrome, insulin resistance, glucose intolerance, prediabetes, cardiometabolic, obesity, adiposity, overweight, physical inactivity, physical activity, nutrition, diet, and smoking in combination with United States.

Figure 1.

Figure 1

Procedures used to review the literature on cardiometabolic health disparities among Native Hawaiians and other Pacific Islanders, January 1998–December 2008. Set A: inclusion of Native Hawaiian, Hawaiian, Pacific Islander, Samoan, Tongan, Micronesian, New Zealand, Maori, Melanesia, Chamorro, Guamanian, Fijian, and Polynesian in an “OR” search term along with the following racial/ethnic terms: minority, minorities, groups, ethnicity, and ethnicities, defined as an “OR” search term. Set B: inequity, inequality, health disparities, health differences, cardiovascular, hypertension, heart, heart failure, heart disease, heart disease risk factors, cardiac, cardiomyopathy, diabetes, syndrome X, metabolic syndrome, insulin resistance, glucose intolerance, prediabetes, cardiometabolic, obesity, adiposity, overweight, physical inactivity, physical activity, nutrition, diet, and smoking in combination with United States.

Additional studies (n = 21) were also extracted from the reference lists of the articles identified in the initial search using Set A AND Set B keywords; these studies were reviewed for inclusion/exclusion. The searches were restricted to English-language articles on humans aged ≥19 years that had been published in peer-reviewed scientific journals. Articles were excluded from the review if they were letters, editorials, or literature reviews without new data; if they had been published in a foreign language; or if they were nonempirical.

Using this search strategy, we identified 311 citations, of which 98 were deemed relevant through review of the article title (performed by a single reviewer). All 98 articles underwent abstract review by 2 independent reviewers, using a standard checklist adapted from other reviews of the health-disparities literature (15). Of the 98 abstracts reviewed, 71 articles were selected for a full text review, which was performed by 2 independent reviewers to ensure compliance with all inclusion criteria, as well as ranking on the following study design criteria: 1) use of appropriate indicators for patient characteristics (e.g., race, ethnicity, or ancestry, sex, age, education, income); 2) inclusion of objective measures of the outcomes of interest (i.e., measured height, weight, and systolic and diastolic blood pressure; self-report of or medical chart review to determine obesity, cardiovascular disease, and/or diabetes status, etc.); 3) inclusion of well-defined measures of disease status; and 4) appropriate adjustment for patient comorbid conditions (i.e., age, sex, body mass index for diabetes outcomes, blood pressure for cardiovascular outcomes, etc.).

After full text review, a joint review meeting was convened to determine the final selection of articles to be included in this study. A total of 28 articles were excluded for 1 or more of the following reasons: 1) NHOPI were aggregated with other racial/ethnic groups (i.e., “Asians and Pacific Islanders” was a single category) (18% of articles); 2) the article was a review or editorial (36%); 3) the study included NHOPI but there was no specified outcome related to cardiometabolic diseases (21%); 4) the NHOPI study population lived outside of the United States (14%); 5) the study population was under age 19 years (i.e., children or youths) (7%); and 6) there was another miscellaneous reason for study exclusion (the article had been published in a non-peer-reviewed journal, no NHOPI population was included, etc.) (4%). Thus, the final number of articles included in this literature review of cardiometabolic health and health-care disparities among NHOPI was 43.

RESULTS

Cardiovascular disease

Study characteristics

A total of 12 papers pertaining to cardiovascular disease or its risk factors were reviewed (Table 1). The majority of studies (n = 10) were cross-sectional. In 4 of the 10 cross-sectional studies, investigators had prospectively collected new data, and in 2 they had used retrospective data collected from administrative databases. A single prospective study included a cohort that had been followed for over 4 years. One study included qualitative data collected through focus groups of NHOPI. The only study in which researchers had proposed testing an intervention had had a quasi-experimental, pre-post study design without controls for testing of a Native Hawaiian cultural intervention designed to improve hypertension profiles. Fifty percent of the papers included a study sample of at least 300 participants of NHOPI ancestry.

Table 1.

Literature on Cardiovascular Health Disparities Among Native Hawaiians and Other Pacific Islanders, January 1998–December 2008

Study Authors and
Year (Ref. No.)
Sample and
No. of Subjects
% of Total
Sample Who
Were NHOPI
Age,
years
Study Design Main Goal and
Outcomes/Findings
Limitations
Novotny et al.,
  1998 (16)
66 Native Hawaiian women
  out of a total multiethnic
  sample of 421
16 25–35 Observational, cross-sectional,
  clinical research sample
Examine anthropometric variations
  between multiethnic women and their
  relation to blood pressure and
  cholesterol.
Sample bias; relatively small study.
Native Hawaiian women had the highest
  measures of adiposity. Cholesterol was
  not associated with adiposity. Blood
  pressure was associated with adiposity
  but did not vary by ethnicity.
Verderber et al.,
  1999 (20)
23 Pacific Islanders out of
  a total multiethnic sample
  of 60
38 40–85 Observational, cross-sectional,
  hospital surgery sample
Describe risk factors for cardiac disease
  and post-CABG outcomes and
  complications in multiethnic patients.
Sample bias (single hospital, relatively
  small sample). No adjustment for
  physician as covariate.
No ethnic differences in postoperative
  complications in first 20 hours. At 48
  hours post-CABG, Pacific Islanders
  required significantly more care than
  Japanese (P < 0.01).
Taira et al.,
  2001 (21)
361 Native Hawaiians out of
  a total multiethnic sample
  of 2,962
11 ≥18 Observational, cross-sectional,
  administrative database
  sample
Examine differences in revascularization
  and mortality rates following acute
  coronary syndrome in a multiethnic
  patient population.
Cross-sectional; claims data
  from single health insurer.
Ethnic differences in types of procedures
  received were significant only for men.
  Native Hawaiian men were less likely to
  receive percutaneous coronary
  intervention (adjusted OR = 0.51, 95%
  CI: 0.34, 0.75) and more likely to receive
  CABG (adjusted OR = 1.8, 95% CI: 1.2,
  2.7) than whites. No significant ethnic
  differences in women.
Grandinetti et al.,
  2002 (18)
572 Native Hawaiians;
  nonpregnant
100 ≥30 Observational, retrospective
  cohort, population-based
  sample
Examine degree of Hawaiian ancestry
  and blood pressure and relation to other
  covariates.
Percentage of Hawaiian ancestry
  was self-reported; cross-sectional
  design; sample population only from
  rural location. Assessment of
  adequate blood pressure control
  with medications not described.
Adjusted prevalence of hypertension
  increased with degree of Hawaiian
  ancestry, except for 100% Hawaiian
  ancestry. Hawaiian ancestry was
  significantly associated with systolic and
  diastolic blood pressure (P < 0.0001).
  After adjustment for all significant
  covariates, only diastolic blood pressure
  was associated with Hawaiian ancestry
  (P = 0.008).
Sundaram et al.,
  2005 (17)
510 NHOPI women out of
  a total multiethnic sample
  of 120,035
<1 ≥18 Observational, cross-sectional
  telephone survey, 2001
  BRFSS
Determine prevalence of cardiovascular
  disease risk factors among multiethnic
  women in 2001 BRFSS.
All data were self-reported. Cross-
  sectional; relatively small sample
  compared with other ethnic groups.
NHOPI women had second highest
  prevalence of hypertension at 33.7%
  (age-adjusted) and highest prevalence of
  high cholesterol (23.9%).
Yeo et al.,
  2005 (45)
377 Pacific Islanders out of
  a total multiethnic sample
  of 2,598
14 ≥18 Observational, case-control,
  hospital administrative
  database sample
Examine ethnic differences in
  percutaneous coronary intervention
  success and/or complications in
  hospitalized patients.
Sample bias (recruited from a single
  hospital). Cross-sectional data; no
  long-term outcomes available.
Despite higher rates of diabetes,
  hypertension, obesity, and renal failure in
  NHOPI, there was no difference in
  percutaneous coronary intervention
  complications compared with whites or
  Japanese.
Chiem et al.,
  2006 (46)
228 Chamorros 100 ≥18 Observational, cross-
  sectional telephone survey,
  community administrative
  database sample
Describe cardiovascular disease risk
  factors in Chamorro community to aid in
  developing programs.
Sample bias (recruited from community
  database). No adjustment for
  covariates. Cross-sectional data.
  Self-reported health risk factors.
Crude frequencies of hypertension,
  diabetes, hyperlipidemia, and physical
  inactivity were higher in Chamorros than
  in US whites. Chamorro women were
  more likely to have hypertension and
  diabetes. Men were more likely to have
  elevated body mass index and
  cholesterol.
Ezeamama et al.,
  2006 (22)
1,289 Samoans (American
  and Western Samoan)
100 25–58 Observational, prospective
  cohort, population-based
  sample
Investigate cross-sectional and
  prospective associations between SES
  and cardiovascular disease risk factors
  and predict the probability of risk factors
  by SES level between American Samoa
  and Samoa.
Relatively large sample of Samoan
  participants; subjects were younger
  and thus there were fewer cases of
  cardiovascular disease risk factors.
  Men lost to follow-up in both
  locations were more likely to be
  employed in the wage-labor market
  and may have introduced attrition
  bias.
High SES was associated with increased
  odds of risk factors in less developed
  Western Samoa and decreased odds of
  risk factors in more developed American
  Samoa. Inverse association between
  SES and risk factors in Western Samoa
  vs. American Samoa is attributable to
  heterogeneity across the Samoan
  Islands in specific exposures to
  economic development and natural
  history of individual risk factors.
Grandinetti et al.,
  2006 (19)
185 Native Hawaiians out of
  a total multiethnic sample
  of 588; nonpregnant
31 ≥30 Observational, retrospective
  cohort; randomly selected
  nested study of population-
  based sample
Examine angiotensin-converting
  enzyme gene polymorphisms and
  increased Q-Tc (associated with heart
  disease) between ethnic groups.
Cross-sectional prevalence
  Cases may lead to bias.
Increased Q-Tc was highest among
  persons with the ACE II
  genotype. ACE II genotype was higher in Native Hawaiians
  (50.3%) than in whites (21%). After
  adjustment, prevalence of increased Q-
  Tc was significantly associated with ACE
  II genotype independently of ethnicity
  (P < 0.01).
Kretzer et al.,
  2007 (40)
15 Native Hawaiians out of
  a total multiethnic sample
  of 23
65 ≥30 Quasi-experimental (no
  control group), pre-post
  intervention, community
  sample
Evaluate whether a class on self-identity
  via ho‘oponopono would improve high
  blood pressure.
No control group, small sample size,
  and potentially biased sample. No
  adjustment for medication changes.
Ho‘oponopono intervention (4-hour
  group class) reduced mean systolic and
  diastolic blood pressure, which was
  sustained for 2 months after intervention.
  Results for the 15 Native Hawaiians were
  aggregated with those for the remaining
  8 other non-Hawaiian participants.
Taira et al., 2007
  (47)
3,746 Native Hawaiians out
  of a total multiethnic
  sample of 28,395
13 ≥18 Observational, cross-
  sectional; health insurance
  administrative database
  sample
Examine factors associated with
  antihypertensive medication adherence
  within a multiethnic patient population
  using administrative claims data.
Cross-sectional claims data from
  a single health insurance plan.
  Patient adherence was measured by
  filling of prescriptions, not at patient
  level. Lack of information on impact
  of comorbid conditions on
  medication adherence.
Overall adherence in all ethnic groups
  was less than 65%. After adjustment,
  Native Hawaiians were less likely to
  adhere than whites (OR = 0.84, 95% CI:
  0.78, 0.91), and this was consistent
  across therapeutic classes. Other patient
  factors associated with lower adherence:
  younger age, higher morbidity, and
  history of heart disease. Seeing
  a physician of the same ethnicity did not
  improve adherence.
Kaholokula et al.,
  2008 (39)
36 NHOPI and family
  caregivers
100 ≥18 Focus group, community
  sample
Identify health beliefs, attitudes,
  practices, and social and family relations
  important in heart failure treatment
  among NHOPI.
Small sample size, and only 30%
  were heart failure patients.
  Qualitative study design with
  potentially subjective responses.
Native Hawaiians with heart failure
  reported coping experiences of denial of
  illness, hopelessness, and despair and
  relied on spiritual/religious beliefs for
  support. Samoans preferred being
  treated by physicians, while Native
  Hawaiians preferred traditional healers.
  Barriers to heart failure care include poor
  knowledge, lack of trust of the physician,
  a poor patient-physician relationship,
  finances, dietary changes, and increased
  demands on time.

Abbreviations: ACE II, angiotensin-converting enzyme insertion/insertion; BRFSS, Behavioral Risk Factor Surveillance System; CABG, coronary artery bypass graft; CI, confidence interval; NHOPI, Native Hawaiians and other Pacific Islanders; OR, odds ratio; Q-Tc, corrected Q–T interval; SES, socioeconomic status.

Study findings

NHOPI women were found to have a high frequency of hypertension and high cholesterol in comparison with whites and other ethnic groups (16, 17). Studies that examined hypertension along with other covariates in NHOPI found that hypertension was significantly related to degree of Hawaiian ancestry and especially diastolic blood pressure after controlling for other covariates (18). The sole genetic study found that increased corrected Q–T interval (Q-Tc), which has been associated with heart disease and sudden death, was associated with the angiotensin-converting enzyme insertion/insertion (ACE II) genotype, which is found with greater frequency among Native Hawaiians than in other ethnic groups (19). Verderber et al. (20) compared post-coronary artery bypass graft (CABG) complications across ethnic groups and found that NHOPI had similar early post-CABG complications (first 20 hours after CABG) but experienced significantly more ventricular arrhythmias requiring medical treatment on postoperative day 2 than Japanese. In another study, NHOPI men with acute coronary syndrome were significantly more likely to receive CABG (odds ratio = 1.8, 95% confidence interval: 1.2, 2.7) and less likely to receive percutaneous coronary intervention following their first hospitalization than were whites (21). No ethnic differences in endovascular treatment for acute coronary syndrome were found in women (21).

In the only longitudinal prospective cohort study, investigators were interested in examining measures of socioeconomic status and cardiovascular disease risk factors in American Samoans versus Western Samoans. Ezeamama et al. (22) found that high socioeconomic status was associated with increased odds of cardiovascular disease risk factors in Western Samoa but decreased odds in more developed American Samoa. The authors attributed this differential effect of socioeconomic status on cardiovascular disease risk factors to the heterogeneity across the Samoan Islands in specific exposures to economic development and the natural history of individual cardiovascular disease risk profiles.

Study limitations

The cardiovascular disease literature reviewed had a number of limitations. First, nearly all of the studies were observational studies with cross-sectional data, which does not permit a clear understanding of cause and effect for significant associations between outcomes and exposures. Half of the studies reviewed had relatively small sample sizes or had serious sample biases that confounded the study’s findings. Finally, several of the studies of sufficient quality were drawn from 2 research groups that have established cohorts in rural communities in Hawai‘i (Grandinetti et al. (19, 23)) and in Western and American Samoa (Ezeamama et al. (22)); those findings may not be generalizable to other NHOPI populations in the United States.

Type 2 diabetes mellitus

Study characteristics

A total of 16 diabetes-related studies were reviewed. Most were cross-sectional investigations (10 studies), although 1 study was descriptive and 2 were retrospective (Table 2). Nine of the cross-sectional studies examined the population-based data of the NHHR Project, including a quasi-experimental study that was a nonrandomized concurrent intervention which included Native Hawaiians with diabetes or at risk for diabetes. Another quasi-experimental study compared “before” and “after” hemoglobin A1c levels in a small sample of Native Hawaiian, Samoan, and Tongan participants undergoing an intervention delivered by community health workers. Sample sizes ranged from 78 participants to more than 3,000. The 2 retrospective studies examined the incidence of macrosomia and gestational hypertension among NHOPI women.

Table 2.

Literature on Diabetes Health Disparities Among Native Hawaiians and Other Pacific Islanders, January 1998–December 2008

Study Authors and
Year (Ref. No.)
Sample and
No. of Subjects
% of Total
Sample Who
Were NHOPI
Age,
years
Study Design Main Goal and
Outcomes/Findings
Limitations
Grandinetti et al.,
  1998 (5)
574 Native Hawaiians from 2
  rural communities in
  Hawai‘i; nonpregnant
100 ≥30 Observational, retrospective
  cohort, population-based
  sample
To estimate prevalences of type 2
  diabetes and impaired glucose
  tolerance.
Cross-sectional; self-reported
  ancestry, contributing to possible
  misclassification.
Prevalence of impaired glucose
  tolerance was 16%; diabetes, 20%.
  Prevalence of impaired glucose
  tolerance was significantly higher in
  women and significantly associated
  with body mass index, waist
  circumference, and waist-to-hip ratio.
  Age-adjusted prevalence of diabetes
  was 4 times higher than in the
  Second National Health and
  Nutrition Examination Survey
  population.
Grandinetti et al.,
  2000 (26)
581 Native Hawaiians from 2
  rural communities in
  Hawai‘i; nonpregnant
100 ≥30 Observational, retrospective
  cohort, population-based
  ample
To examine the association between
  diabetes and CES-D depressive
  symptoms.
Cross-sectional design; thus, the
  temporal relation between
  glycemic control and CES-D
  depressive symptoms could
  not be determined.
Among participants reporting a prior
  history of diabetes, both mean CES-D
  score and depressive symptom
  prevalence were significantly higher
  than in participants with no prior
  history of chronic illness, after
  adjustment for age and social support.
  High hemoglobin A1c level (≥7%) was
  also associated with higher
  prevalence of CES-D-assessed
  depressive symptoms. Results
  suggest that hyperglycemia may
  explain the high prevalence of
  depressive symptoms among
  participants with known and newly
  identified diabetes.
Mau et al.,
  2001 (29)
147 Native Hawaiians with
  diabetes or metabolic
  syndrome and their ‘ohana
  (family) support person
100 ≥30 Quasi-experimental,
  nonrandomized, controlled
  trial; subjects recruited from
  population-based sample
To examine association of stage of
  change with diet and exercise in
  response to lifestyle intervention.
Nonrandomized intervention;
  lack of true control group.
Stage of change was significantly
  associated with positive dietary
  and exercise behaviors. Participants
  in the family support intervention
  group were more likely to advance
  from pre-action to action/maintenance
  regarding fat intake and physical
  activity than the standard intervention
  group.
Grandinetti et al.,
  2002 (18)
578 Native Hawaiians from 2
  rural communities in
  Hawai‘i; nonpregnant
100 ≥30 Observational, retrospective
  cohort, population-based
  sample
To investigate the relation between
  glucose and percentage of Hawaiian
  blood quantum.
Cross-sectional survey; self-
  reported ancestry, contributing to
  possible misclassification; self-
  reported lifestyle behaviours
Increased Hawaiian blood quantum was
  significantly associated with increased
  fasting glucose level, body mass
  index, waist-to-hip ratio, and age. Full
  Hawaiians had higher glucose
  concentrations than part-Hawaiians
  after adjustment for age, sex, body
  mass index, and waist-to-hip ratio.
Kaholokula et al.,
  2003 (27)
59 Native Hawaiians out of
  a total multiethnic sample of
  141; nonpregnant
41 ≥30 Observational, nested case
  study from a population-
  based sample
To examine correlations between
  glycemic status and health-related
  quality of life and depressive
  symptoms.
Limited generalizability; little
  variability in body mass index and
  waist-to-hip ratio.
No correlation between depressive
  symptoms and glycemic status was
  observed. Health-related quality of life
  had the greatest magnitude of effect
  on depressive symptoms in people
  with diabetes compared with glycemic
  status and knowledge of diabetes
  diagnosis. Relation between
  depressive symptoms and health-
  related quality of life was influenced by
  glycemic status, sex, education,
  marital status, and social support.
Grandinetti et al.,
  2005 (48)
510 Native Hawaiians out of
  a total multiethnic sample of
  1,447; nonpregnant
35 ≥30 Observational, retrospective
  cohort, population-based
  sample
To estimate the prevalence of metabolic
  syndrome.
Cross-sectional
Prevalence of metabolic syndrome was
  significantly higher among Native
  Hawaiians and all other minority ethnic
  groups than among Caucasians.
  Prevalences were similar in all non-
  Caucasian groups. Prevalence of
  abdominal obesity and low high
  density lipoprotein cholesterol was
  highest in Native Hawaiians.
Wu et al.,
  2005 (49)
228 Chamorros in San
  Diego, California
100 ≥18 Observational, cross-
  sectional telephone survey,
  administrative database
To assess diabetes risk
  status, incidence, and morbidity.
Data were population- and
  geography-specific and may not
  be generalizable. Self-reported
  data.
Diabetes prevalence was 16.2%; 60% of
  respondents with diabetes were
  obese as compared with 21% of those
  without diabetes. Respondents
  without diabetes reported more days
  of moderate physical activity than
  those with diabetes. More than half of
  all men and women reported
  consuming less than the
  recommended 5 or more fruits and
  vegetables per day. Prevalence of
  high blood pressure was 42.5%,
  higher than the nationwide 2003
  Behavioral Risk Factor Surveillance
  System prevalence of 24.8%.
Kaholokula et al.,
  2006 (25)
80 Native Hawaiians out of
  a multiethnic total sample of
  190; nonpregnant, with
  diabetes
50 ≥30 Observational, nested case
  study from population-
  based sample
To examine relation between
  depressive symptoms and aspects
  of health-related quality of life
  in type 2 diabetes.
Cross-sectional survey,
  small sample sizes.
Ethnicity moderated the
  relation between depressive
  symptoms and quality-of-life aspects
  of physical and role-emotional
  functioning, bodily pain, vitality, and
  general health.
Silva et al.,
  2006 (31)
614 NHOPI women out of
  a multiethnic total sample of
  2,155 women
28 ≥18 Observational, retrospective
  cohort, medical-right-
  based sample
To examine ethnic differences in
  perinatal outcomes among women
  with gestational diabetes.
Retrospective study; ethnicity was
  self-reported.
Being NHOPI was a significant predictor
  of fetal macrosomia. Higher
  percentage of NHOPI women required
  insulin during pregnancy and before
  20 weeks’ gestation, suggesting that
  there may be a larger subset of NHOPI
  women with preexisting undiagnosed
  diabetes.
Grandinetti et al.,
  2007 (13)
510 Native Hawaiians out of
  a total multiethnic sample of
  1,452; nonpregnant
35 ≥30 Observational, retrospective
  cohort, population-based
  sample
To assess prevalences of diabetes and
  glucose intolerance.
Cross-sectional; self-reported
  lifestyle behaviors.
Threefold higher prevalence of diabetes
  among Asian and Native Hawaiian
  groups than among Caucasians;
  diabetes prevalences were similar
  across non-Caucasian ethnic groups
  despite differences in body mass
  index.
Mau et al., 2007
  (32)
196 Native Hawaiians out
  of a total multiethnic sample
  of 793
25 ≥18 Observational, cross-
  sectional, community
  clustered sample
To examine associations between
  factors associated with chronic kidney
  disease.
Cross-sectional; community sample
  may have been biased.
Chronic kidney disease was highest
  among Native Hawaiians. Diabetes,
  hypertension, and lower education
  were significantly associated with
  increased chronic kidney disease in
  Native Hawaiians.
Beckham et al.,
  2008 (50)
78 Native Hawaiians,
  Samoans, and Tongans out
  of a total sample of 116
  diabetes clinic patients
67 ≥18 Quasi-experimental, refusal
  control group, pre-post
  intervention with lack of
  control for number of visits,
  clinic sample
To examine the effectiveness of a
  culturally tailored diabetes
  management program delivered by
  community health workers, using
  intervention refusers as the
  comparison group.
Small sample size, pre-post study
  design, biased sample without true
  control group. 42% of the control
  group vs. 10% of the intervention
  group was lost to follow-up.
  Intervention group received more
  visits than controls.
72 of 80 participants in the community-
  health-worker-delivered intervention
  had a postintervention decrease in
  hemoglobin A1c level of 2.2% (SD,
  1.8), as compared with 21 of 36
  participants who declined community
  health worker intervention, who had
  a 0.2% (SD, 1.5) decrease in
  hemoglobin A1c.
Elstad et al.,
  2008 (38)
64 Samoans (35 with
  diabetes and 29 caregivers)
100 ≥18 Focus groups, community
  sample
To study perceptions of diabetes to
  design a culturally appropriate
  program.
Small sample size; focus groups
  were mixed with persons with
  diabetes and caregivers, which
  may have biased responses.
American Samoans with type 2 diabetes
  experienced multiple types of stress.
  Environmental and familial stress
  worsened their glucose levels.
  Despite the effects of family stress on
  diabetes, family members were often
  the primary caregivers.
Kaholokula et al.,
  2008 (51)
495 Native Hawaiians from
  2 rural communities in
  Hawai‘i; nonpregnant
100 ≥30 Observational, retrospective
  cohort, population-based
  sample
To examine associations between
  modes of acculturation and diabetes
  prevalence.
Cross-sectional survey. Modes of
  acculturation included only Native
  Hawaiian vs. American; other
  ethnic cultures were not included.
Native Hawaiians with a traditional mode
  of acculturation were more likely to
  have diabetes (27.9%) than persons
  with integrated (15.4%), assimilated
  (12.5%), or marginalized (10.5%)
  modes.
Kim et al.,
  2008 (28)
434 Native Hawaiians out of
  a multiethnic total sample of
  1,257; nonpregnant
35 ≥30 Observational, retrospective
  cohort, population-based
  sample
To examine associations of
  diabetes with dietary pattern
  and ethnicity.
Cross-sectional; possible recall bias
  on food frequency questionnaire;
  measurement error in estimation of
  food portions.
Consumption of local ethnic foods was
  correlated with body mass index,
  smoking, waist-to-hip ratio, and
  glucose. Consumption of these foods
  was higher for Native Hawaiians than
  for other ethnic groups. Native
  Hawaiians had the highest total
  energy intake.

Abbreviations: CES-D, Right for Epidemiologic Studies Depression Scale; NHOPI, Native Hawaiians and other Pacific Islanders; SD, standard deviation.

Study findings

Among studies using the NHHR data, Grandinetti et al. (5) found prevalences of type 2 diabetes and impaired glucose tolerance to be higher among NHOPI than among Caucasian participants. The overall prevalence of diabetes was 4 times higher in the NHHR participants than in the Second National Health and Nutrition Examination Survey population, and the prevalence of diabetes was also significantly higher among full Hawaiians than among part-Hawaiians. In comparison with global estimates of standardized prevalence rates (24), 1 study revealed that the prevalences of diabetes and impaired glucose tolerance among Hawaiians in the NHHR study were among the highest reported, except for Pima and Nauruan populations (5). Grandinetti et al. (5) also found that the age-adjusted prevalence of impaired glucose tolerance was higher in Hawaiian women than in men and was significantly associated with measures of adiposity (i.e., body mass index, waist circumference, and waist-to-hip ratio). Similarly, Kaholokula et al. (18) reported that increased Hawaiian blood quantum was significantly associated with higher fasting glucose concentration, body mass index, and waist-to-hip ratio.

Three studies examined the relation between ethnicity, depressive symptoms, and diabetes among NHHR participants. Among Native Hawaiians with diabetes, depressive symptoms were associated with poorer physical functioning, poorer perception of general health, more severe and limiting bodily pains, less energy, and more emotional problems (25). NHHR participants with elevated hemoglobin A1c levels reported more depressive symptoms and a lower quality of life than participants with normal hemoglobin A1c levels (26, 27). Another cross-sectional study of NHHR participants examined dietary patterns, ethnicity, and the prevalence of diabetes and found that consumption of local ethnic foods was positively correlated with body mass index, smoking, waist-to-hip ratio, fasting glucose, and 2-hour glucose (28). Native Hawaiians were found to have significantly higher consumption of these foods and the highest total energy intake in comparison with all other ethnic groups. These results suggest that total energy intake may be a more significant risk factor for diabetes than a specific dietary pattern among Native Hawaiians (28). In the nonrandomized concurrent intervention study that enrolled Native Hawaiians with diabetes or at risk for diabetes, participants in a family support intervention were more likely than a standard intervention group to advance from the pre-action stage of change to the action/maintenance stage with regard to fat intake and physical activity (29).

Three additional studies examined diabetes-related conditions. Mau et al. (30) found that the prevalence of chronic kidney disease was higher among Native Hawaiians than among Asian and Pacific Islander participants in the National Kidney Foundation’s Kidney Early Evaluation Program community screening. In a retrospective study of perinatal outcomes in NHOPI women by Silva et al. (31), a higher percentage of NHOPI women required insulin during pregnancy and before 20 weeks’ gestation, suggesting that there may be a larger subset of NHOPI women with preexisting undiagnosed diabetes.

Study limitations

A major limitation of the diabetes-related research with NHOPI populations is the lack of studies that have tested the efficacy of interventions. A large number of studies were observational, cross-sectional studies that precluded causal inferences. Several of the studies also had small sample sizes, resulting in limited generalizability.

Obesity

Study characteristics

There were 15 obesity-related studies reviewed (Table 3). Four studies examined data from the Multiethnic Cohort Study, a population-based cohort study designed to examine risk factors for cancer (i.e., obesity) that included Asian, black, Hawaiian, Latino, and white adults from Hawai‘i and California. One additional study was a population-based prospective cohort study of ethnic groups residing in Hawai‘i. Another study pooled data from 18 population-based epidemiologic studies conducted in Hawai‘i over a period of 25 years to examine trends in body mass index among different ethnic groups in Hawai‘i and to explore associations between food intake and excess weight. Seven studies were cross-sectional. Two studies, 1 cross-sectional and 1 longitudinal, examined genetic associations with body mass index among Samoans residing in American Samoa. One study was qualitative; the researchers conducted focus groups with 32 Native Hawaiian community college students to explore facilitators and barriers to living a healthy lifestyle.

Table 3.

Literature on Obesity Health Disparities Among Native Hawaiians and Other Pacific Islanders, January 1998–December 2008

Study Author(s) and
Year (Ref. No.)
Sample and
No. of Subjects
% of Total
Sample Who
Were NHOPI
Age,
years
Study Design Main Goal and
Outcomes/Findings
Limitations
Maskarinec et al.,
  1998 (52)
4,321 Native Hawaiians out of
  a total multiethnic sample of
  27,678
16 >30 Observational, prospective
  cohort, population-based
  sample of 2% of the Hawai‘i
  State population
To investigate effects of alcohol intake and
  body weight on mortality from all causes,
  cancer, cerebrovascular disease, and
  coronary heart disease.
No information on preexisting
  cardiovascular disease, serum
  cholesterol level, hypertension,
  diabetes, or family history.
Native Hawaiians had the highest mortality
  rate and a higher prevalence of obesity.
  BMIa >29.3 was associated with 50%
  higher risk of death. Coronary heart
  disease mortality was higher in Native
  Hawaiians with BMIs >29.3.
Galanis et al.,
  1999 (53)
946 Samoans in Western
  Samoa and American
  Samoa
100 25–55 Observational, cross-
  sectional, retrospective
  cohort, community and
  workplace sample
To describe dietary intake as measured
  by 24-hour recall of American Samoans
  and Western Samoans.
No biochemical measurement of
  cardiovascular disease risk or
  correlations with anthropometric
  measurements; potential sample
  bias; recall bias on dietary
  assessment.
American Samoans consumed a
  greater proportion of carbohydrates and
  protein but less fat or saturated fat than
  Western Samoans. The mean BMI of
  American Samoans was 35.2 as
  compared with 30.3 for Western
  Samoans.
Grandinetti et al.,
  1999 (32)
567 Native Hawaiians in 2
  rural communities in Hawai‘i;
  nonpregnant
100 ≥30 Observational, retrospective
  cohort, population-based
  sample
To assess the relation of degree of Native
  Hawaiian ancestry with BMI and waist-
  to-hip ratio.
Cross-sectional; self-reported
  ancestry and dietary recall.
Combined prevalence of overweight and/
  or obesity was 81.5% in Native
  Hawaiians as compared with the US
  prevalence of 52.6%. 49% of Native
  Hawaiians were obese as compared
  with the US prevalence of 21%
   Increased waist circumference was
  found in 51% of Native Hawaiians. More
  women (59%) than men (39%) had
  increased waist circumference. Age,
  percentage of Native Hawaiian ancestry,
  and total dietary energy intake were
  significantly associated with increased
  BMI and waist-to-hip ratio. Adiposity
  increased with percentage of Native
  Hawaiian ancestry.
McGarvey et al.,
  2002 (54)
181 Samoans and
  American Samoans
100 25–55 Observational, nested study
  in a prospective cohort;
  population-based sample
To test the association of 6 genetic
  microsatellite markers related to the
  human leptin (LEP) locus and the pro-
  opiomelanocortin gene region in adult
  Samoans and American Samoans.
Functional significance of present
  finding remains unclear.
Significantly greater frequency of allele
  226 at the LEP locus in the nonobese
  Samoans than in the obese subjects.
Mampilly et al.,
  2005 (36)
585 Native Hawaiians out of
  a total multiethnic sample of
  3,732
16 ≥18 Observational, cross-
  sectional telephone survey;
  Behavioral Risk Factor
  Surveillance System
  population sample
To assess the physical activity levels of
  multiethnic groups in Hawai‘i.
Telephone survey; self-report of
  physical activity. Self-reported
  weight and height.
Native Hawaiians were more
  active (39% moderate, 24% vigorous)
  than other Asians and Pacific Islanders
  but less active than whites. 48% of
  Native Hawaiians reported being
  overweight as compared with 58% of
  whites, 42% of Filipinos, and 41% of
  Japanese.
Henderson et al.,
  2006 (55)
159 Native Hawaiians out of
  a random subsample of 811
  persons from Hawai‘i and
  California
20 45–74 Observational, nested study
  in a prospective cohort;
  randomly selected sample
To examine the relation between
  circulating levels of 2 primary proteins
  (IGF-1 and IGFBP-3) in the insulin-like
  growth factor pathway and obesity in 5
  racial/ethnic groups using BMI as an
  indicator of adiposity.
Unmeasured confounding factors;
  racial/ethnic differences in BMI
  cutpoints may have confounded
  study. Plasma IGF-I and IGFBP-3
  were measured at a single time
  point.
No significant interaction was
  found between IGF-1 and BMI in Native
  Hawaiians as compared with Japanese
  and Latinos, in whom decreased IGF-1
  was associated with increasing BMI.
Howarth et al.,
  2006 (56)
433 Native Hawaiians out of
  a total multiethnic sample of
  2,326 persons from Hawai‘i
  and California
19 45–74 Observational, prospective
  cohort; population-based
  sample
To determine whether dietary
  energy density was related to current
  BMI and risk of overweight/obesity in
  a multiethnic population.
Food frequency assessment of dietary
  energy density based on recall.
  Dietary recall may vary by body
  weight.
Native Hawaiian men had the highest BMI;
  weight and dietary energy density were
  significantly related to BMI. Native
  Hawaiian women were second-heaviest
  after African Americans. Higher energy
  density was significantly associated with
  greater likelihood of being overweight in
  all ethnic and sex groups. Native
  Hawaiians were unusual in that low
  energy density was associated with high
  BMI.
Maskarinec et al.,
  2006 (34)
9,994 Native Hawaiians out of
  a total multiethnic sample of
  76,163
13 ≥18 Observational, prospective
  cohort; pooled data from 18
  population-based studies
  carried out over 25 years in
  Hawai‘i
To describe trends in BMI and the relations
  of nutrient and food intake with excess
  weight.
Limited in comparability of nutritional
  measures across studies over time,
  mainly because dietary assessment
  methods have improved over the
  years; recall bias.
Native Hawaiians had the highest
  prevalence of excess weight at all times.
  Carbohydrates were positively
  associated with excess weight among
  Native Hawaiians. Nutritional
  determinants of excess weight were
  similar among whites, Japanese, and
  Native Hawaiians, despite marked
  differences in BMI.
Albright et al.,
  2007 (33)
12,306 Native Hawaiians out
  of a multiethnic total sample
  of 200,003
6 45–74 Observational, prospective
  cohort; population-based
  sample
To examine BMI in persons with ethnic
  admixture as compared with persons
  who were monoracial but shared
  a common ethnicity/race.
Self-reported height, weight, and
  ethnicity; unable to quantify the
  genetic contribution of each ethnicity
  reported.
Native Hawaiians had the highest BMI
  compared with other ethnic groups.
  Ethnic admixtures that included Native
  Hawaiian heritage had higher BMIs than
  most other ethnic combinations.
Boyd, 2007 (37) 32 Native Hawaiian
  community college students
100 18–25 Focus group, university
  convenience sample
To assess perceptions of healthy lifestyles
  and supports for and barriers to healthy
  living.
Small sample size; biased sample.
Demanding lifestyle and laziness were
  cited as barriers to being physically
  active. Preferences for group-oriented
  and college-course-based opportunities
  to learn about healthy living and how to
  become more physically active.
Dai et al., 2007 (57) 583 American Samoans 100 ≥18 Observational, nested study
  in a prospective cohort;
  random selection sample
To detect trait loci influencing adiposity-
  related phenotypes using a whole
  genome linkage scan approach in
  families from American Samoa.
No adjustment for other important
  genetic and environmental factors
  that contribute to adiposity, such as
  diet and physical activity.
Strong evidence for a major locus on
  chromosome 6q23.2 influencing serum
  leptin levels. Another genetic region,
  16q21, appears to be a susceptibility
  locus that affects phenotypes for BMI,
  percentage of body fat, leptin levels, and
  waist circumference.
Maskarinec et al.,
  2007 (35)
16,079 Native Hawaiians out
  of a multiethnic total sample
  of 117,065
14 ≥40 Observational, prospective
  cohort; population-based
  sample
To investigate changes in risk factors in
  Hawai‘i over 20 years and compare
  health behaviors among ethnic groups.
Differences in data collection across
  2 studies; improvements in
  nutritional assessment over time;
  validity of ethnicity assignment (self-
  reported); little information on
  socioeconomic status.
Native Hawaiians had the highest chronic
  disease risk scores in comparison with
  other groups. BMI was highest for Native
  Hawaiians.
Novotny et al.,
  2007 (58)
55 Samoan women 100 18–28 Observational, cross-
  sectional, convenience
  sample
To examine anthropometric cutoff points
  as indicators of chronic disease risk.
Cross-sectional, small sample of
  Samoan women; biased sample.
80% of sample was overweight or obese.
  BMI and dual-energy X-ray
  absorptiometry lean mass were
  significantly and positively associated
  with glucose levels.
Maskarinec et al.,
  2008 (59)
254 Native Hawaiian women
  out of a multiethnic total
  sample of 1,418
18 ≥21 Observational, cross-
  sectional, breast-cancer-
  related participant sample
To examine relation of soy intake with
  body weight over the life span of women.
Self-reported height, weight, and diet
  data; lifetime recall of soy intake was
  difficult.
Meat and vegetable intake
  and total energy intake (kcal/day) were
  higher for Native Hawaiians. Eating more
  soy foods in adulthood did not predict
  lower BMI or lower annual weight gain for
  Native Hawaiians.

Abbreviations: BMI, body mass index; IGF-1, insulin-like growth factor 1; IGFBP-3, insulin-like growth factor binding protein 3; NHOPI, Native Hawaiians and other Pacific Islanders.

a

Weight (kg)/height (m)2.

Study findings

Prevalences of overweight and obesity were consistently higher among Native Hawaiians than in other ethnic groups (whites, blacks, Latinos, Asians, and Filipinos) across studies. Grandinetti et al. (32) reported a combined prevalence of 82% for overweight and obesity in NHHR study participants, as compared with a national prevalence of 53%; 49% were obese as compared with 21% nationally. Body mass index was also higher in persons with an ethnic admixture that included Native Hawaiian ancestry, as compared with most other ethnic combinations (32, 33). In pooled data from 18 population-based studies carried out over 25 years, Native Hawaiians had the highest prevalence of excess weight at all times (34).

Energy intake was consistently higher among NHOPI than in other ethnic groups in Hawai‘i. Both the NHHR and Multiethnic Cohort studies found that total dietary energy intake was significantly associated with Native Hawaiian ancestry and increased body mass index (32, 34). In 2 large population-based prospective studies, Native Hawaiians had the highest chronic disease risk scores in comparison with other ethnic groups, primarily because of high prevalences of overweight and obesity, higher rates of smoking, and chronic alcohol use (35). In the NHHR study, increased body weight was strongly associated with glucose intolerance (5). Despite the high prevalence of overweight and obesity, NHOPI reported a higher prevalence of physical activity in the 2001 Hawai‘i Behavioral Risk Factor Surveillance System survey than did other ethnic groups (36).

Study limitations

The obesity-related studies reviewed had several limitations. First, the cross-sectional design of many of the studies did not allow for determination of causal relations. Second, many of the studies were questionnaire-based and may have been vulnerable to recall bias or a propensity towards giving socially desirable answers. Finally, investigators in several studies were unable to measure confounding variables, which limited the potential for understanding the true association between exposure and disease.

DISCUSSION

Studies of cardiometabolic disparities among NHOPI are sparse. The 43 studies in this review were published in the last 10 years and provide growing evidence that NHOPI are one of the highest-risk US populations affected by cardio-metabolic diseases. Some progress has been made in addressing these disparities, as evidenced by the handful of studies that have shifted from observational research towards program development and then to experimental and clinical trial-type studies that include NHOPI. However, there were a number of methodological issues apparent during the course of this literature review. For example, there were several studies that were limited by sample bias (convenience samples, etc.) and relatively small sample sizes (i.e., <50 subjects). NHOPI comprise less than 1% of the US population, and thus recruitment of NHOPI into research studies remains a challenge. Despite these challenges, a number of research teams have been successful in enrolling sufficient-sized samples or have taken advantage of existing data or administrative databases to better understand cardiometabolic diseases in this population. Moreover, recent developments in the use of community engagement approaches have served to increase the participation of this population in research activities and ensure that studies are relevant and translatable to NHOPI communities.

Aggregation of NHOPI with Asian Americans in several publications limited the number of available studies for this review. There was also a paucity of experimental studies that were adequately designed to reduce treatment bias (i.e., randomization) and longitudinal prospective cohort studies that would allow elucidation of cause-and-effect relations in cardiometabolic diseases. However, a few focus groups and quasi-experimental studies provided preliminary data that offer potential for designing intervention studies in the future.

Several studies (29, 3740) provided initial insights on promising approaches in NHOPI populations, such as social and/or family support and the inclusion of cultural and/or traditional healing methods as alternatives or supplements to conventional medical regimens. Other studies provided empirical evidence with which to develop scientifically informed and culturally specific diet-based interventions for prevention and treatment of cardiometabolic disparities. Health care differences in cardiovascular disease treatment suggest that more study is needed in order to determine the best medical treatments for high-risk ethnic groups such as NHOPI (20, 21). Further investigation is needed to examine both provider factors and patient factors that may underlie the treatment differentials between patients who may receive different treatments and hence have different outcomes.

There remain significant gaps in our understanding as to why cardiometabolic diseases occur more frequently in the NHOPI population in the United States (Figure 2). Any number of factors, alone or in combination, may contribute to the creation of disparities in health within this population. Compared with most other US ethnic groups, NHOPI are overrepresented in the lower socioeconomic strata, under-represented in higher education, and more likely to be marginalized from the larger society (41). Behavioral risk factors for diabetes and cardiovascular disease, such as tobacco use and psychological distress, are highly prevalent in NHOPI (42). In the case of Native Hawaiians, many health professionals have suggested that the health disparities experienced by Native Hawaiians are associated with their lower social status and adverse historical relations with Western governments (43, 44). Thus, it would seem appropriate in future studies to explore psychosocial stressors that may contribute to health disparities in NHOPI.

Figure 2.

Figure 2

Conceptual model of health and health-care disparities.

Future research aimed at eliminating cardiometabolic disparities in health and health care among NHOPI needs to move beyond observational studies into intervention studies that will engage NHOPI communities in the process while maintaining scientific rigor. Researchers should consider the whole spectrum of types of scientific studies—ranging from genetic, bench studies to clinical studies to effectiveness studies that test interventions in real-world settings. NHOPI can participate in this research not only as study subjects but also as investigators. In this way, they can both obtain health equity and, more importantly, help to promote health and wellness for all.

ACKNOWLEDGMENTS

This work was supported by the Center for Native and Pacific Health Disparities Research, Department of Native Hawaiian Health, John A. Burns School of Medicine, University of Hawai‘i at Manoa; The Myron Pinky Thompson Endowed Chair (grant S21 MD 000228); the National Center on Minority Health and Health Disparities (grants P20 MD000173 and R24 MD 001660); and the National Heart, Lung, and Blood Institute (grant U01HL 079163).

Abbreviations

CABG

coronary artery bypass graft

NHHR

Native Hawaiian Health Research

NHOPI

Native Hawaiians and other Pacific Islanders

Footnotes

Conflict of interest: none declared.

REFERENCES

  • 1.Acton KJ, Burrows NR, Moore K, et al. Trends in diabetes prevalence among American Indian and Alaska Native children, adolescents, and young adults. Am J Public Health. 2002;92(9):1485–1490. doi: 10.2105/ajph.92.9.1485. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Allison MA, Budoff MJ, Wong ND, et al. Prevalence of and risk factors for subclinical cardiovascular disease in selected US Hispanic ethnic groups: the Multi-Ethnic Study of Atherosclerosis. Am J Epidemiol. 2008;167(8):962–969. doi: 10.1093/aje/kwm402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Burrows NR, Geiss LS, Engelgau MM, et al. Prevalence of diabetes among Native Americans and Alaska Natives, 1990–1997: an increasing burden. Diabetes Care. 2000;23(12):1786–1790. doi: 10.2337/diacare.23.12.1786. [DOI] [PubMed] [Google Scholar]
  • 4.Egede LE, Dagogo-Jack S. Epidemiology of type 2 diabetes: focus on ethnic minorities. Med Clin North Am. 2005;89(5):949–975. doi: 10.1016/j.mcna.2005.03.004. viii. [DOI] [PubMed] [Google Scholar]
  • 5.Grandinetti A, Chang HK, Mau MK, et al. Prevalence of glucose intolerance among Native Hawaiians in two rural communities. Native Hawaiian Health Research (NHHR) Project. Diabetes Care. 1998;21(4):549–554. doi: 10.2337/diacare.21.4.549. [DOI] [PubMed] [Google Scholar]
  • 6.Johnson DB, Oyama N, LeMarchand L, et al. Native Hawaiians mortality, morbidity, and lifestyle: comparing data from 1982, 1990, and 2000. Pac Health Dialog. 2004;11(2):120–130. [PubMed] [Google Scholar]
  • 7.Mau MK, Grandinetti A, Arakaki RF, et al. The insulin resistance syndrome in native Hawaiians. Native Hawaiian Health Research (NHHR) Project. Diabetes Care. 1997;20(9):1376–1380. doi: 10.2337/diacare.20.9.1376. [DOI] [PubMed] [Google Scholar]
  • 8.Executive Office of the President, Office of Management and Budget, Office of Information and Regulatory Affairs. [Accessed April 6, 2009];Washington, DC: OMB Publications Office; Revisions to the Standards for the Classification of Federal Data on Race and Ethnicity. 1997 http://www.whitehouse.gov/omb/fedreg_1997standards/
  • 9.Bushnell OA. The Gifts of Civilization: Germs and Genocide in Hawaii. Honolulu, HI: University of Hawaii Press; 1993. [Google Scholar]
  • 10.Fong M, Braun KL, Tsark JU. Improving Native Hawaiian health through community-based participatory research. Cal J Health Promot. 2003;1:136–148. special issue: Hawaii. [Google Scholar]
  • 11.Kana’iaupuni SM, Malone NJ, Ishibashi K. Income and Poverty Among Native Hawaiians: Summary of Ka Huaka’i Findings. (PASE report) Honolulu, HI: Policy Analysis and System Evaluation; 2005. [Accessed April 6, 2009]. ( http://www.ksbe.edu/spi/PDFS/Reports/Demography_Well-being/05_06_5.pdf. [Google Scholar]
  • 12.Salvail FR, Nguyen D, Liang SL. [Accessed April 6, 2009];Honolulu, HI: Hawaii State Department of Health; 2008 State of Hawaii—By Demographic Characteristics. Behavioral Risk Factor Surveillance System. 2008 http://hawaii.gov/health/statistics/brfss/brfss/brfss2008/demo08.html.
  • 13.Grandinetti A, Kaholokula JK, Theriault AG, et al. Prevalence of diabetes and glucose intolerance in an ethnically diverse rural community of Hawaii. Ethn Dis. 2007;17(2):250–255. [PubMed] [Google Scholar]
  • 14.Salvail FR, Nguyen D. Have you ever been told by doctor that you have diabetes? State of Hawaii BRFSS 2006 [table] [Accessed April 6, 2009];Honolulu, HI: Hawaii State Department of Health; 2006 State of Hawaii—By Demographic Characteristics. Behavioral Risk Factor Surveillance System. 2006 http://hawaii.gov/health/statistics/brfss/brfss/brfss2006/demo06.html.
  • 15.Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. Washington, DC: National Academies Press; 2003. Institute of Medicine, Committee on Understanding and Eliminating Racial and Ethnic Disparities in Health Care, Board on Health Sciences Policy. [PubMed] [Google Scholar]
  • 16.Novotny R, Davis J, Ross P, et al. Adiposity and blood pressure in a multiethnic population of women in Hawaii. Ethn Health. 1998;3(3):167–173. doi: 10.1080/13557858.1998.9961859. [DOI] [PubMed] [Google Scholar]
  • 17.Sundaram AA, Ayala C, Greenlund KJ, et al. Differences in the prevalence of self-reported risk factors for coronary heart disease among American women by race/ethnicity and age: Behavioral Risk Factor Surveillance System. Am J Prev Med. 2005;29(5 suppl 1):25–30. doi: 10.1016/j.amepre.2005.07.027. 2001. [DOI] [PubMed] [Google Scholar]
  • 18.Grandinetti A, Chen R, Kaholokula JK, et al. Relationship of blood pressure with degree of Hawaiian ancestry. Ethn Dis. 2002;12(2):221–228. [PubMed] [Google Scholar]
  • 19.Grandinetti A, Seifried SE, Chow DC, et al. Association between angiotensin-converting enzyme gene polymorphisms and QT duration in a multiethnic population in Hawaii. Auton Neurosci. 2006;130(1–2):51–56. doi: 10.1016/j.autneu.2006.03.012. [DOI] [PubMed] [Google Scholar]
  • 20.Verderber A, Castelfranco AM, Nishioka D, et al. Cardiovascular risk factors and cardiac surgery outcomes in a multiethnic sample of men and women. Am J Crit Care. 1999;8(3):140–148. [PubMed] [Google Scholar]
  • 21.Taira DA, Seto TB, Marciel C. Ethnic disparities in care following acute coronary syndromes among Asian Americans and Pacific Islanders during the initial hospitalization. Cell Mol Biol (Noisy-le-Grand) 2001;47(7):1209–1215. [PubMed] [Google Scholar]
  • 22.Ezeamama AE, Viali S, Tuitele J, et al. The influence of socioeconomic factors on cardiovascular disease risk factors in the context of economic development in the Samoan archipelago. Soc Sci Med. 2006;63(10):2533–2545. doi: 10.1016/j.socscimed.2006.06.023. [DOI] [PubMed] [Google Scholar]
  • 23.Grandinetti A, Keawe’aimoku Kaholokula J, Chang HK, et al. Relationship between plasma glucose concentrations and Native Hawaiian ancestry: the Native Hawaiian Health Research Project. Int J Obes Relat Metab Disord. 2002;26(6):778–782. doi: 10.1038/sj.ijo.0802000. [DOI] [PubMed] [Google Scholar]
  • 24.King H, Rewers M. Global estimates for prevalence of diabetes mellitus and impaired glucose tolerance in adults. WHO Ad Hoc Diabetes Reporting Group. Diabetes Care. 1993;16(1):157–177. doi: 10.2337/diacare.16.1.157. [DOI] [PubMed] [Google Scholar]
  • 25.Kaholokula JK, Haynes SN, Grandinetti A, et al. Ethnic differences in the relationship between depressive symptoms and health-related quality of life in people with type 2 diabetes. Ethn Health. 2006;11(1):59–80. doi: 10.1080/13557850500391287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Grandinetti A, Kaholokula JK, Crabbe KM, et al. Relationship between depressive symptoms and diabetes among native Hawaiians. Psychoneuroendocrinology. 2000;25(3):239–246. doi: 10.1016/s0306-4530(99)00047-5. [DOI] [PubMed] [Google Scholar]
  • 27.Kaholokula JK, Haynes SN, Grandinetti A, et al. Biological, psychosocial, and sociodemographic variables associated with depressive symptoms in persons with type 2 diabetes. J Behav Med. 2003;26(5):435–458. doi: 10.1023/a:1025772001665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Kim H, Park S, Grandinetti A, et al. Major dietary patterns, ethnicity, and prevalence of type 2 diabetes in rural Hawaii. Nutrition. 2008;24(11–12):1065–1072. doi: 10.1016/j.nut.2008.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Mau MK, Glanz K, Severino R, et al. Mediators of lifestyle behavior change in Native Hawaiians: initial findings from the Native Hawaiian Diabetes Intervention Program. Diabetes Care. 2001;24(10):1770–1775. doi: 10.2337/diacare.24.10.1770. [DOI] [PubMed] [Google Scholar]
  • 30.Mau MK, West MR, Shara NM, et al. Epidemiologic and clinical factors associated with chronic kidney disease among Asian Americans and Native Hawaiians. Ethn Health. 2007;12(2):111–127. doi: 10.1080/13557850601081720. [DOI] [PubMed] [Google Scholar]
  • 31.Silva JK, Kaholokula JK, Ratner R, et al. Ethnic differences in perinatal outcome of gestational diabetes mellitus. Diabetes Care. 2006;29(9):2058–2063. doi: 10.2337/dc06-0458. [DOI] [PubMed] [Google Scholar]
  • 32.Grandinetti A, Chang HK, Chen R, et al. Prevalence of overweight and central adiposity is associated with percentage of indigenous ancestry among native Hawaiians. Int J Obes Relat Metab Disord. 1999;23(7):733–737. doi: 10.1038/sj.ijo.0800921. [DOI] [PubMed] [Google Scholar]
  • 33.Albright CL, Steffen A, Wilkens LR, et al. Body mass index in monoracial and multiracial adults: results from the Multiethnic Cohort Study. Ethn Dis. 2007;17(2):268–273. [PubMed] [Google Scholar]
  • 34.Maskarinec G, Takata Y, Pagano I, et al. Trends and dietary determinants of overweight and obesity in a multiethnic population. Obesity (Silver Spring) 2006;14(4):717–726. doi: 10.1038/oby.2006.82. [DOI] [PubMed] [Google Scholar]
  • 35.Maskarinec G, Carlin L, Pagano I, et al. Lifestyle risk factors for chronic disease in a multiethnic population: an analysis of two prospective studies over a 20-year period. Ethn Dis. 2007;17(4):597–603. [PubMed] [Google Scholar]
  • 36.Mampilly CM, Yore MM, Maddock JE, et al. Prevalence of physical activity levels by ethnicity among adults in Hawaii, BRFSS 2001. Hawaii Med J. 2005;64(10):270–273. [PubMed] [Google Scholar]
  • 37.Boyd JK, Braun KL. Supports for and barriers to healthy living for Native Hawaiian young adults enrolled in community colleges [electronic article] Prev Chronic Dis. 2007;4(4):A88. [PMC free article] [PubMed] [Google Scholar]
  • 38.Elstad E, Tusiofo C, Rosen RK, et al. Living with ma’i suka: individual, familial, cultural, and environmental stress among patients with type 2 diabetes mellitus and their caregivers in American Samoa [electronic article] Prev Chronic Dis. 2008;5(3):A79. [PMC free article] [PubMed] [Google Scholar]
  • 39.Kaholokula JK, Saito E, Mau MK, et al. Pacific Islanders’ perspectives on heart failure management. Patient Educ Couns. 2008;70(2):281–291. doi: 10.1016/j.pec.2007.10.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Kretzer K, Davis J, Easa D, et al. Self identity through ho’oponopono as adjunctive therapy for hypertension management. Ethn Dis. 2007;17(4):624–628. [PubMed] [Google Scholar]
  • 41.Marsella AJ, Oliveira J, Plummer CM, et al. Native Hawaiian (kanaka maoli) culture, mind, and well-being. In: McCubbin HI, Thompson EA, Fromer JE, editors. Resiliency in Ethnic Minority Families: Native Immigrant American Families. Madison, WI: University of Wisconsin, Center for Excellence in Family Studies; 1995. pp. 93–113. [Google Scholar]
  • 42.Wong MM, Klingle RS, Price RK. Alcohol, tobacco, and other drug use among Asian American and Pacific Islander adolescents in California and Hawaii. Addict Behav. 2004;29(1):127–141. doi: 10.1016/s0306-4603(03)00079-0. [DOI] [PubMed] [Google Scholar]
  • 43.Crabbe KM. Conceptions of depression: a Hawaiian perspective. Pac Health Dialog. 1999;6(1):122–126. [Google Scholar]
  • 44.Rezentes WCIII. Ka Lama Kukui—Hawaiian Psychology: An Introduction. Honolulu, HI: ‘A’ali’i Books; 1996. [Google Scholar]
  • 45.Yeo KK, Beauvallet S, Mau MK, et al. Procedural success and complications following percutaneous coronary interventions among Asians and Pacific Islanders. Clin Cardiol. 2005;28(9):429–432. doi: 10.1002/clc.4960280908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Chiem B, Nguyen V, Wu PL, et al. Cardiovascular risk factors among Chamorros [electronic article] BMC Public Health. 2006;6:298. doi: 10.1186/1471-2458-6-298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Taira DA, Gelber RP, Davis J, et al. Antihypertensive adherence and drug class among Asian Pacific Americans. Ethn Health. 2007;12(3):265–281. doi: 10.1080/13557850701234955. [DOI] [PubMed] [Google Scholar]
  • 48.Grandinetti A, Chang HK, Theriault A, et al. Metabolic syndrome in a multiethnic population in rural Hawaii. Ethn Dis. 2005;15(2):233–237. [PubMed] [Google Scholar]
  • 49.Wu PL, Sadler GR, Nguyen V, et al. Diabetes management in San Diego’s Chamorro community. Diabetes Educ. 2005;31(3):379–390. doi: 10.1177/0145721705276579. [DOI] [PubMed] [Google Scholar]
  • 50.Beckham S, Bradley S, Washburn A, et al. Diabetes management: utilizing community health workers in a Hawaiian/Samoan population. J Health Care Poor Underserved. 2008;19(2):416–427. doi: 10.1353/hpu.0.0012. [DOI] [PubMed] [Google Scholar]
  • 51.Kaholokula JK, Nacapoy AH, Grandinetti A, et al. Association between acculturation modes and type 2 diabetes among Native Hawaiians. Diabetes Care. 2008;31(4):698–700. doi: 10.2337/dc07-1560. [DOI] [PubMed] [Google Scholar]
  • 52.Maskarinec G, Meng L, Kolonel L. Alcohol intake, body weight, and mortality in a multiethnic prospective cohort. Epidemiology. 1998;9(6):654–661. [PubMed] [Google Scholar]
  • 53.Galanis DJ, McGarvey ST, Quested C, et al. Dietary intake of modernizing Samoans: implications for risk of cardiovascular disease. J Am Diet Assoc. 1999;99(2):184–190. doi: 10.1016/s0002-8223(99)00044-9. [DOI] [PubMed] [Google Scholar]
  • 54.McGarvey ST, Forrest W, Weeks DE, et al. Human leptin locus (LEP) alleles and BMI in Samoans. Int J Obes Relat Metab Disord. 2002;26(6):783–788. doi: 10.1038/sj.ijo.0801996. [DOI] [PubMed] [Google Scholar]
  • 55.Henderson KD, Goran MI, Kolonel LN, et al. Ethnic disparity in the relationship between obesity and plasma insulin-like growth factors: the Multiethnic Cohort. Cancer Epidemiol Biomarkers Prev. 2006;15(11):2298–2302. doi: 10.1158/1055-9965.EPI-06-0344. [DOI] [PubMed] [Google Scholar]
  • 56.Howarth NC, Murphy SP, Wilkens LR, et al. Dietary energy density is associated with overweight status among 5 ethnic groups in the Multiethnic Cohort Study. J Nutr. 2006;136(8):2243–2248. doi: 10.1093/jn/136.8.2243. [DOI] [PubMed] [Google Scholar]
  • 57.Dai F, Keighley ED, Sun G, et al. Genome-wide scan for adiposity-related phenotypes in adults from American Samoa. Int J Obes (Lond) 2007;31(12):1832–1842. doi: 10.1038/sj.ijo.0803675. [DOI] [PubMed] [Google Scholar]
  • 58.Novotny R, Nabokov V, Derauf C, et al. BMI and waist circumference as indicators of health among Samoan women. Obesity (Silver Spring) 2007;15(8):1913–1917. doi: 10.1038/oby.2007.227. [DOI] [PubMed] [Google Scholar]
  • 59.Maskarinec G, Aylward AG, Erber E, et al. Soy intake is related to a lower body mass index in adult women. Eur J Nutr. 2008;47(3):138–144. doi: 10.1007/s00394-008-0707-x. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES