Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2011 Dec 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2010 Oct 12;19(12):3106–3118. doi: 10.1158/1055-9965.EPI-10-0863

Disparities in liver cancer incidence by nativity, acculturation, and socioeconomic status in California Hispanics and Asians

Ellen T Chang 1,2,3, Juan Yang 1, Theresa Alfaro-Velcamp 4, Samuel K S So 3, Sally L Glaser 1,2, Scarlett Lin Gomez 1,2
PMCID: PMC3005535  NIHMSID: NIHMS245134  PMID: 20940276

Abstract

Background

Asians and Hispanics have the highest incidence rates of liver cancer in the US, but little is known about how incidence patterns in these largely immigrant populations vary by nativity, acculturation, and socioeconomic status (SES). Such variations can identify high-priority subgroups for prevention and monitoring.

Methods

Incidence rates and rate ratios (IRRs) by nativity among 5,400 Hispanics and 5,809 Asians diagnosed with liver cancer in 1988–2004 were calculated in the California Cancer Registry. Neighborhood ethnic enclave status and SES were classified using 2000 US Census data for cases diagnosed in 1998–2002.

Results

Foreign-born Hispanic males had significantly lower liver cancer incidence rates than US-born Hispanic males in 1988–2004 (e.g., IRR=0.54, 95% confidence interval [CI]=0.50–0.59), whereas foreign-born Hispanic females had significantly higher rates in 1988–1996 (IRR=1.42, 95% CI=1.18–1.71), but not 1997–2004. Foreign-born Asian males and females had up to 5-fold higher rates than the US-born. Among Hispanic females, incidence rates were elevated by 21% in higher-enclave versus lower-enclave neighborhoods, and by 24% in lower- versus higher-SES neighborhoods. Among Asian males, incidence rates were elevated by 23% in higher-enclave neighborhoods and by 21% in lower-SES neighborhoods. In both racial/ethnic populations, males and females in higher-enclave, lower-SES neighborhoods had higher incidence rates.

Conclusions

Nativity, residential enclave status, and neighborhood SES characterize Hispanics and Asians with significantly unequal incidence rates of liver cancer, implicating behavioral or environmental risk factors and revealing opportunities for prevention.

Impact

Liver cancer control efforts should especially target foreign-born Asians, US-born Hispanic men, and residents of lower-SES ethnic enclaves.

Introduction

Liver cancer incidence and mortality rates have been increasing in the US since the 1970s (13). At present, US Asians and Hispanics (who are tied with American Indians/Alaska Natives) have the highest incidence rates, at three-fold and two-fold higher, respectively, than rates among non-Hispanic whites (4). Thus, these two fastest-growing US minority groups (5) are also the groups with the greatest burdens of liver cancer. Counteracting this mounting public health problem requires appropriate planning of prevention and screening efforts. Several causes of liver cancer, such as chronic infection with hepatitis B virus (HBV) or hepatitis C virus (HCV), alcohol abuse, and obesity can be prevented or effectively treated (6, 7), thereby reducing the risk of liver cancer. Furthermore, early disease detection by routine liver screening may reduce liver cancer mortality (8). Targeting these prevention efforts toward high-risk groups could help to reduce the heavy burden of liver cancer among Asians and Hispanics, and reduce the escalating trends in liver cancer incidence and mortality nationwide.

However, the identification of high-risk groups remains incomplete. In US Asian and Hispanic populations, which include large immigrant subsets, factors that may delineate groups at unequal risk include nativity, acculturation, and socioeconomic status (SES). Health in immigrant populations tends to differ from that of non-immigrants due to the maintenance of traditional cultural behaviors, the immigration experience itself, and the characteristics of individuals who choose to migrate (9). At the neighborhood level, the percentages of immigrant residents and non-English language usage patterns, which approximate acculturation and together can delineate “ethnic enclaves,” may influence health behaviors and risks through the availability of cultural goods and services, social networks, means of communication, access to health care, and other channels (1012). Likewise, neighborhood-level SES, in addition to reflecting the SES of its residents, may affect health status through community attitudes about health and health-related behaviors, the accessibility and availability of health-promoting infrastructure and services, and direct exposure to environmental agents (13, 14). Thus, all of these factors may be important for identifying high-priority groups for liver cancer prevention and monitoring in contemporary Asian and Hispanic populations. In addition, given the cultural, linguistic, and behavioral differences among groups defined by these characteristics, it may be critical to account for these factors when designing liver cancer control strategies.

To date, the influence of nativity on liver cancer incidence in Hispanics and Asians has not been widely studied, and the influence of ethnic enclave status and neighborhood SES has not, to our knowledge, been examined at all. Therefore, to learn whether these characteristics may help identify high-risk groups for targeted liver cancer control, we assessed the relationships of these factors with liver cancer incidence in California, home to approximately one-third of the nation’s Asian and Hispanic population (15).

Methods

Cancer patient data

From the California Cancer Registry (CCR), we obtained information regarding all state residents newly diagnosed with a primary invasive liver cancer (International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) site code 22.0, histology codes 8000–8999) from January 1, 1988, through December 31, 2004. All primary liver cancers were included because 31% of Hispanic and Asian liver cancer cases in the CCR lack microscopic confirmation, and cancer registries lack detailed data on diagnostic criteria. We performed secondary analyses limited to hepatocellular carcinoma, the single most common liver cancer type (ICD-O-3 histology codes 8170–8175). The CCR, comprising three of the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program registries (16), is estimated to be 99% complete in its ascertainment of cancer cases (17).

We included all 3,737 male Hispanic/Latino (hereafter referred to as “Hispanic,” in accordance with US Census categorization) liver cancer cases, 1,663 female Hispanic cases, 4,115 male Asian cases, and 1,694 female Asian cases. Hispanics were not further disaggregated by national origin due to a high proportion of missing data, although approximately 77% of California Hispanics are of Mexican origin (18), followed by 9% of Central American origin (19), indicating a relatively homogeneous study population. Among the 5,809 Asian patients, 2,105 (36%) were Chinese, 552 (10%) were Japanese, 1,009 (17%) were Filipino, 873 (15%) were Korean, and 1,270 (22%) were Vietnamese (Table 1); together, they comprised 89% of all Asian CCR patients diagnosed with liver cancer during the study period. Asians of other ethnic backgrounds were not included in the nativity analysis due to insufficient case numbers. Classifications of Hispanic ethnicity and specific Asian ethnic group (20) were improved by application of the North American Association of Central Cancer Registries Hispanic Identification Algorithm (21) and Asian/Pacific Islander Identification Algorithm (22).

Table 1.

Demographic and disease characteristics of Hispanic and Asian patients with incident primary liver cancer in California, 1988–2004

Characteristic Hispanic
N=5400
Chinese
N=2105
Japanese
N=552
Filipino
N=1009
Korean
N=873
Vietnamese
N=1270
Totals
N=11209
Age at diagnosis (years)
 0–29 195 4% 30 1% 2 0% 13 1% 7 1% 23 2% 270 2%
 30–39 105 2% 85 4% 1 0% 45 4% 24 3% 57 4% 317 3%
 40–49 642 12% 224 11% 25 5% 113 11% 117 13% 155 12% 1276 11%
 50–59 1232 23% 362 17% 80 14% 183 18% 210 24% 281 22% 2348 21%
 60–69 1482 27% 595 28% 217 39% 220 22% 272 31% 377 30% 3163 28%
 70–79 1239 23% 569 27% 159 29% 287 28% 179 21% 284 22% 2717 24%
 80+ 505 9% 240 11% 68 12% 148 15% 64 7% 93 7% 1118 10%
 Median 63 66 67 66 62 63
Sex
 Male 3737 69% 1579 75% 230 42% 735 73% 584 67% 987 78% 7852 70%
 Female 1663 31% 526 25% 322 58% 274 27% 289 33% 283 22% 3357 30%
Nativity
 US-born 2927 54% 181 9% 195 35% 54 5% 22 3% 19 1% 3398 30%
 Foreign-born 2473 46% 1924 91% 357 65% 955 95% 851 97% 1251 99% 7811 70%
Tumor stage at diagnosis
 Localized 1609 30% 660 31% 171 31% 305 30% 269 31% 420 33% 3434 31%
 Regional 738 14% 318 15% 84 15% 174 17% 125 14% 218 17% 1657 15%
 Distant 1406 26% 602 29% 158 29% 302 30% 224 26% 347 27% 3039 27%
 Unspecified 1647 31% 525 25% 139 25% 228 23% 255 29% 285 22% 3078 27%

Nativity classification

Registry data on birthplace were available for 91% of Hispanic cases and 92% of Asian cases. As cancer registry cases with unknown birthplace data are more likely to be US-born than those with available data (15, 23, 24), we estimated nativity for the remaining 9% of patients with unknown birthplace with minimal bias through statistical imputation (25). This approach used the patient’s social security number (SSN), which is indicative of the state and year of issuance (2628). Hispanic patients who received an SSN before age 20 years were classified as US-born, and those who received an SSN at or after age 20 years were classified as foreign-born. Asian patients who received an SSN before age 25 years were classified as US-born, and those who received an SSN at or after age 25 years were classified as foreign-born. These age cut-points were determined by comparisons with self-reported nativity from interviews with patients (N=1,227 Hispanics and N=1,836 Asians (29, 30)), and maximization of the area under the receiver-operating characteristic curve. The optimal positive predictive values of the age cut-points were confirmed by using logistic regression models with age at SSN issue as a continuous predictor of foreign-born status. The selected cut-points resulted in immigrant status classifications associated with 81% sensitivity and 80% specificity for detecting foreign-born status in Hispanics, and with 84% sensitivity and 80% specificity for detecting foreign-born status in Asians, with similar results across the Asian ethnic populations. The <1% of cases with missing or invalid SSNs were assigned a nativity status based on the known distribution of nativity within matched strata of race/ethnicity, sex, and age in the overall CCR patient population.

Neighborhood ethnic enclave status and socioeconomic status

We defined a neighborhood ethnic enclave as a geographical unit with a higher concentration of a foreign-born race/ethnicity-specific population and language(s) than other geographical units. As described previously (31, 32), in a CCR database separate from the nativity data, we assigned a measure of enclave status to each of the 99.7% of cases with a residential address at diagnosis geocoded to a census tract. Cases whose address could not be precisely geocoded were randomly assigned to a census tract within their county of residence. To characterize residence in an ethnic enclave, we applied principal components analysis (33) to selected 2000 US Census variables at the block-group level, then averaged these values across census tracts. For Hispanics, we included data on linguistic isolation, English fluency, Spanish language use, Hispanic ethnicity, immigration history, and nativity. For Asians, we included data on linguistic isolation, English fluency, Asian language use, Asian race, and immigration history. Each case was assigned to a neighborhood enclave status quintile based on the distribution of each enclave index across all census tracts in California. For statistical analysis, we combined quintiles 1–3 (lower enclave status, as the reference group) and quintiles 4–5 (higher enclave status).

As a neighborhood SES measure, we assigned each case a previously described index that incorporates 2000 US Census data on education, occupation, unemployment, household income, poverty, rent, and house values (34). Again, each patient was assigned to a neighborhood SES quintile based on the statewide distribution of the SES index, and we combined quintiles 1–3 (lower neighborhood SES) and quintiles 4–5 (higher neighborhood SES, as the reference group) for statistical analysis. Cancer registries do not collect data on individual-level SES.

Analyses of residential ethnic enclave status and neighborhood SES were limited to the pericensal period January 1, 1998, through December 31, 2002. In these analyses, which included 1,771 male Hispanic cases, 728 female Hispanic cases, 1,554 male Asian cases, and 680 female Asian cases, all Asian ethnic groups were included and combined into a single group due to the lack of subgroup-specific population estimates for census tracts.

General population data

From the 1990 and 2000 Census Summary File 3 (SF-3), we obtained population counts by sex, race/ethnicity, immigrant status, and five-year age group for California. We used data from the 20% Integrated Public-Use Microdata Sample of the Census to estimate age- and nativity-specific population counts for each ethnic group (35) by smoothing with a spline-based function (36). For intercensal years, we estimated the foreign-born population using cohort component interpolation and extrapolation methods, adjusting estimates to the populations by age and year provided by the California Department of Finance for years 1988–1989 and by the US Census for years 1990–2004, based on data availability. Incidence rates for US-born Filipinos, Koreans, and Vietnamese were not stable enough to report because 1) the US-born populations are significantly smaller than the foreign-born, and 2) they have considerably younger age distributions, reducing stability of age-adjusted rates for cancers, which predominantly occur at older ages. Therefore, we combined Filipinos, Koreans, and Vietnamese into a single group of “other Asians” for the nativity analysis. For the analyses of ethnic enclave status and neighborhood SES, we used 2000 US Census population estimates by race/ethnicity and sex at the census-tract level.

Statistical analysis

We used SEER*Stat software (37) to compute age-adjusted incidence rates (standardized to the 2000 US standard million population) and 95% confidence intervals (CIs). We calculated incidence rate ratios (IRRs) to compare incidence rates between US and foreign-born populations (Chinese, Japanese, other Asian, or Hispanic) for 1988–1996 and 1997–2004, and by neighborhood ethnic enclave status or SES within census tracts for 1998–2002. The lack of census-tract-level population data by nativity precluded joint analyses by nativity and neighborhood enclave status or SES. For comparisons of incidence rates among US-born and foreign-born populations in the US and other countries based on estimations published by the International Agency for Research on Cancer (GLOBOCAN (38, 39)), we standardized rates to the age distribution of the world standard population.

Results

In our study population, 41% of the Hispanic males and 56% of the Hispanic females diagnosed with incident liver cancer were foreign-born. Among Asians with incident liver cancer, 92% of the males and 92% of the females were foreign-born. Koreans, Vietnamese, and Hispanics were younger at diagnosis, on average, than Japanese, Chinese, and Filipinos (Table 1). From 1988–1996 to 1997–2004, the incidence rate of liver cancer increased in Hispanics by 87% and 83% among US-born males and females, respectively, and 31% and 29% among foreign-born males and females, respectively (Tables 2 and 3). By contrast, the incidence rate was stable among most Asians. However, among Filipino, Korean, and Vietnamese (“other Asian”) males and Japanese females born outside the US, the liver cancer incidence rates increased by 19% and 32%, respectively, while among foreign-born Chinese males, the rate decreased by 8%.

Table 2.

Age-adjusted incidence rates (per 100,000 person-years) of liver cancer and incidence rate ratios (IRRs) by nativity among Hispanic and Asian males in California, 1988–2004

Ethnic
group
Years of
diagnosis
Nativity Cases
(N)
Population Incidence
rate*
95% CI IRR 95% CI
Hispanics US-born 691 21,071,875 9.9 (9.0–10.8) 1.00 reference
1988–1996 Foreign-born 510 18,095,886 7.7 (7.0–8.4) 0.78 (0.68–0.88)
US-born 1506 25,534,575 18.5 (17.6–19.5) 1.00 reference
1997–2004 Foreign-born 1030 20,466,825 10.1 (9.4–10.8) 0.54 (0.50–0.59)
Chinese US-born 56 1,109,824 15.4 (11.0–20.8) 1.00 reference
1988–1996 Foreign-born 628 2,315,169 27.3 (25.1–29.7) 1.77 (1.30–2.50)
US-born 79 1,380,593 16.2 (12.6–20.4) 1.00 reference
1997–2004 Foreign-born 816 2,697,457 25.0 (23.3–27.0) 1.55 (1.22–2.02)
Japanese US-born 61 951,274 5.6 (4.1–7.5) 1.00 reference
1988–1996 Foreign-born 38 372,960 21.6 (14.5–30.5) 3.85 (2.33–6.21)
US-born 72 872,647 6.8 (5.3–8.6) 1.00 reference
1997–2004 Foreign-born 59 391,684 23.8 (17.2–32.0) 3.51 (2.33–5.21)
Filipinos,
Koreans,
and
Vietnamese
US-born 28 1,611,348 16.4 (8.5–27.7) 1.00 reference
1988–1996 Foreign-born 820 4,220,104 23.9 (22.2–25.7) 1.46 (0.86–2.83)
US-born 40 2,170,383 12.7 (8.6–18.0) 1.00 reference
1997–2004 Foreign-born 1418 4,802,922 28.5 (26.9–30.2) 2.23 (1.57–3.32)
*

Standardized to the 2000 U.S. population age standard. Incidence rates with numerator <15 are not computed.

CI: Confidence interval

Table 3.

Age-adjusted incidence rates (per 100,000 person-years) of liver cancer and incidence rate ratios (IRRs) by nativity among Hispanic and Asian females in California, 1988–2004

Ethnic
group
Years of
diagnosis
Nativity Cases
(N)
Population Incidence
rate*
95% CI IRR 95% CI
Hispanics US-born 241 20,639,600 2.9 (2.5–3.3) 1.00 reference
1988–1996 Foreign-born 331 15,721,107 4.1 (3.6–4.5) 1.42 (1.18–1.71)
US-born 489 25,116,383 5.3 (4.8–5.8) 1.00 reference
1997–2004 Foreign-born 602 18,538,762 5.3 (4.9–5.8) 1.00 (0.88–1.13)
Chinese US-born 12 1,045,316 --- 1.00 reference
1988–1996 Foreign-born 192 2,533,953 7.6 (6.6–8.9) 2.18 (1.20–4.64)
US-born 34 1,314,287 5.5 (3.7–7.7) 1.00 reference
1997–2004 Foreign-born 288 3,092,306 7.9 (6.9–8.9) 1.44 (0.99–2.19)
Japanese US-born 24 958,160 2.2 (1.4–3.5) 1.00 reference
1988–1996 Foreign-born 105 596,184 11.1 (8.7–14.3) 5.02 (2.99–8.81)
US-born 38 871,207 2.7 (1.9–3.8) 1.00 reference
1997–2004 Foreign-born 155 640,558 14.7 (12.3– 17.7) 5.43 (3.67–8.17)
Filipinos,
Koreans,
and
Vietnamese
US-born 6 1,525,876 --- 1.00 reference
1988–1996 Foreign-born 303 4,762,158 7.8 (6.9–8.9) 3.67 (1.31–12.31)
US-born 21 2,053,269 5.4 (3.0–8.8) 1.00 reference
1997–2004 Foreign-born 516 5,646,961 8.5 (7.8–9.4) 1.57 (0.96–2.84)
*

Standardized to the 2000 U.S. population age standard. Incidence rates with numerator <15 are not computed.

CI: Confidence interval

In males, the incidence rate of liver cancer was 22% lower in 1988–1996 and a 46% lower in 1997–2004 in foreign-born than US-born Hispanics (Table 2). By contrast, the rate was 42% higher in foreign-born than US-born Hispanic females in 1988–1996, with no difference by nativity in 1997–2004 (Table 3). Among Chinese, Japanese, and other Asians, the incidence rate of liver cancer was consistently higher in the foreign-born than the US-born. The nativity gap was especially pronounced among Japanese men and women, among whom incidence rates were 3.5 to 5 times higher in the foreign-born than the US-born. In analysis of nativity excluding those with imputed birthplace, results were unchanged (data not shown).

Incidence rates among foreign-born Hispanics and Asians were consistently intermediate between rates for those born in the US and those living (and predominantly born) abroad (Table 4). The sole exception was for Hispanic females, in whom the incidence rate among the foreign-born living in the US was the lowest of the three groups.

Table 4.

Age-adjusted incidence rates (per 100,000 person-years) of liver cancer among Hispanics in California and Central America, and among Asians in California and Asia*

Males Females
Ethnic
group
Nativity and residence Rate 95% CI Rate 95% CI
Hispanics
US-born, living in US 13.7 (13.0–14.4) 3.6 (3.3–4.0)
Foreign-born, living in US 6.6 (6.2–7.1) 3.2 (2.9–3.5)
Living in Central America 4.9 --- 4.9 ---
Chinese
US-born, living in US 11.6 (9.0–14.7) 3.9 (2.6–5.5)
Foreign-born, living in US 17.7 (16.4–19.3) 5.0 (4.4–5.9)
Living in China 37.9 --- 14.2 ---
Japanese
US-born, living in US 4.5 (3.4–5.9) 1.6 (1.0–2.4)
Foreign-born, living in US 14.7 (11.0–19.3) 10.1 (8.5–12.4)
Living in Japan 23.1 --- 7.6 ---
Filipinos, Koreans, and Vietnamese
US-born, living in US 9.0 (6.1–12.5) 3.4 (1.9–5.6)
Foreign-born, living in US 20.0 (18.6–21.5) 5.3 (4.8–5.9)
Living in Philippines, Korea, or Vietnam 30.9 --- 11.4 ---
*

California rates from 1997–2004; international rates from GLOBOCAN 2002 (ref. (38)) or GLOBOCAN 2008 for Philippines, Korea, and Vietnam (ref. (39))

Standardized to the world population age standard

CI: confidence interval

In comparisons by neighborhood ethnic enclave status and SES, differences among Hispanic males were relatively small and not statistically significant (Table 5). By contrast, among Hispanic females, the incidence rate of liver cancer was 21% higher for those in areas with higher ethnic enclave status than those in areas with lower enclave status, and 24% higher among Hispanic females in lower-SES than higher-SES neighborhoods (Table 6). Hispanic males and females living in neighborhoods with both higher enclave status and lower SES had significantly higher incidence rates, by 17% and 34%, respectively, than those in lower-enclave, higher-SES neighborhoods.

Table 5.

Age-adjusted incidence rates (per 100,000 person-years) of liver cancer and incidence rate ratios (IRRs) by neighborhood immigrant enclave status and socioeconomic status (SES)* among Hispanic and Asian males in California, 1998–2002

Racial/ethnic
group
Neighborhood characteristic Cases
(N)
Population Incidence
rate
95% CI IRR 95% CI
Hispanics
Low enclave status 486 7,603,625 13.7 (12.4–15.1) 1.00 reference
High enclave status 1,068 20,409,605 14.5 (13.6–15.5) 1.06 (0.94–1.19)
High SES 278 4,243,850 13.0 (11.4–14.8) 1.00 reference
Low SES 1,276 23,774,865 14.5 (13.7–15.4) 1.12 (0.97–1.29)
Low enclave status/high SES 226 3,552,400 12.3 (10.6–14.1) 1.00 reference
High enclave status/high SES 52 688,845 17.3 (12.3–23.4) 1.41 (0.97–1.98)
Low enclave status/low SES 260 4,051,225 15.3 (13.4–17.4) 1.25 (1.03–1.52)
High enclave status/low SES 1,016 19,720,760 14.4 (13.4–15.4) 1.17 (1.00–1.38)
Asians
Low enclave status 320 1,924,885 21.0 (18.6–23.5) 1.00 reference
High enclave status 1,451 7,099,465 25.7 (24.3–27.1) 1.23 (1.08–1.39)
High SES 790 4,620,540 22.5 (20.8–24.2) 1.00 reference
Low SES 981 4,404,810 27.2 (25.5–29.0) 1.21 (1.10–1.34)
Low enclave status/high SES 139 890,150 20.4 (16.9–24.3) 1.00 reference
High enclave status/high SES 651 3,730,100 23.0 (21.2–24.9) 1.13 (0.93–1.39)
Low enclave status/low SES 181 1,034,735 22.0 (18.8–25.5) 1.08 (0.85–1.37)
High enclave status/low SES 800 3,369,365 28.7 (26.7–30.8) 1.41 (1.16–1.72)
*

"Low" = quintiles 1–3 of the statewide distribution; "high" = quintiles 4–5 of the statewide distribution

Standardized to the 2000 U.S. population age standard

CI: confidence interval

Table 6.

Age-adjusted incidence rates (per 100,000 person-years) of liver cancer and incidence rate ratios (IRRs) by neighborhood immigrant enclave status and socioeconomic status (SES)* among Hispanic and Asian females in California, 1998–2002

Racial/ethnic
group
Neighborhood characteristic Cases
(N)
Population Incidence
rate
95% CI IRR 95% CI
Hispanics
Low enclave status 186 7,450,545 4.9 (4.2–5.6) 1.00 reference
High enclave status 494 19,303,670 5.9 (5.4–6.5) 1.21 (1.02–1.45)
High SES 113 4,234,710 4.7 (3.8–5.6) 1.00 reference
Low SES 567 22,520,645 5.8 (5.3–6.3) 1.24 (1.01–1.54)
Low enclave status/high SES 91 3,591,880 4.4 (3.5–5.4) 1.00 reference
High enclave status/high SES 22 642,320 6.2 (3.9–9.4) 1.42 (0.84–2.27)
Low enclave status/low SES 95 3,858,665 5.4 (4.3–6.7) 1.23 (0.91–1.67)
High enclave status/low SES 472 18,661,350 5.9 (5.3–6.5) 1.34 (1.06–1.71)
Asians
Low enclave status 154 2,174,195 8.1 (6.9–9.6) 1.00 reference
High enclave status 574 7,555,760 8.7 (8.0–9.5) 1.07 (0.89–1.29)
High SES 343 5,028,075 8.5 (7.6–9.5) 1.00 reference
Low SES 386 4,702,390 8.7 (7.9–9.7) 1.03 (0.88–1.19)
Low enclave status/high SES 65 1,038,520 7.8 (5.9–10.0) 1.00 reference
High enclave status/high SES 277 3,989,405 8.7 (7.7–9.8) 1.11 (0.84–1.50)
Low enclave status/low SES 89 1,135,675 8.5 (6.8–10.5) 1.09 (0.77–1.54)
High enclave status/low SES 297 3,566,355 8.8 (7.8–9.9) 1.13 (0.86–1.52)
*

"Low" = quintiles 1–3 of the statewide distribution; "high" = quintiles 4–5 of the statewide distribution

Standardized to the 2000 U.S. population age standard

CI: confidence interval

Among Asian males but not females, those in areas with higher ethnic enclave status had a 23% higher incidence rate of liver cancer than those in areas with lower enclave status, and those in lower-SES versus higher-SES neighborhoods had a 21% higher rate (Tables 5 and 6). When neighborhood enclave status and SES were combined, Asian males in higher-enclave, lower-SES neighborhoods had a 41% higher incidence rate of liver cancer than those in lower-enclave, higher-SES neighborhoods. Asian females in higher-enclave, lower-SES neighborhoods also had a 13% higher incidence rate, although this difference was not statistically significant.

We evaluated the effect of nativity, neighborhood ethnic enclave status, and neighborhood SES on incidence rates of hepatocellular carcinoma (which affected 86% of cases among Hispanic males, 76% among Hispanic females, 91% among Asian males, and 87% among Asian females) and of liver cancer presenting with regional or distant disease (which affected 41% of cases among Hispanic males, 36% among Hispanic females, 46% among Asian males, and 39% among Asian females, excluding localized and unstaged disease). These analyses yielded similar results (data not shown).

Discussion

In this population-based study in California, we found that foreign-born Asians had significantly and consistently higher incidence rates of liver cancer than US-born Asians—as high as a five-fold difference among Japanese women. By contrast, foreign-born Hispanic men had significantly lower liver cancer incidence rates than their US-born counterparts, a disparity that widened as the incidence rate increased more among US-born than foreign-born Hispanic men in recent years. A similar increase among US-born Hispanic women, meanwhile, closed an earlier gap with foreign-born Hispanic women. We also found that liver cancer incidence rates varied by neighborhood ethnic enclave status and SES, with increased rates among Hispanics and Asians living in neighborhoods with both higher enclave status and lower SES. In all subgroups, the markedly stronger IRRs by nativity than by neighborhood ethnic enclave status, SES, or both suggest that individual-level nativity is a more important determinant of liver cancer risk than these residential neighborhood characteristics.

The observed disparities in liver cancer incidence by nativity and residential characteristics are likely explained in large part by differences in known and unknown environmental and behavioral (as opposed to genetic) risk factors for liver cancer. The rising prevalence of such risk factors, such as obesity and chronic HCV infection, in past decades may explain the increasing trend in liver cancer incidence among US-born and, to a lesser extent, foreign-born Hispanics observed here and elsewhere (3, 40). The consistency of our results when the analysis was limited to regional and distant-stage disease argues against patterns of liver cancer screening as an explanation for the observed incidence rate patterns. Instead, perhaps the most prominent cause of the rising incidence rates of liver cancer in the US, especially among Hispanics, is chronic HCV infection. The prevalence of HCV infection escalated from the 1960s through the 1980s, mostly as a result of intravenous drug use and contaminated blood transfusion, and is expected to drive a continued increase in liver cancer rates for several years to come following a latency period of two to four decades (41, 42). HCV is likely a leading cause of liver cancer among Hispanics; at a New York City medical center between 1994 and 2001, 60% of Hispanic liver cancer patients were infected with HCV, compared with 43% of non-Hispanic patients (43). However, further population-based studies are needed to determine the percentage of liver cancer due to HCV in Hispanics. The incidence rate patterns in our study may point to a higher prevalence of HCV infection among US-born than foreign-born Hispanic males, and possibly a higher prevalence among less acculturated and lower-SES males and females, although data to support this conjecture are lacking. While separate studies suggest that the prevalence of HCV infection is higher among Mexicans in the US than those in Mexico (44, 45), to our knowledge, no studies have directly compared the prevalence of HCV infection among Hispanics by nativity, acculturation, or SES. Alcohol abuse, another behavioral risk factor for liver cancer (46), may also help to explain some of the observed incidence patterns by nativity and neighborhood characteristics. In support of this hypothesis, population-based data from the 2001 California Health Interview Survey (CHIS) (47)showed that US-born Hispanic males had a higher prevalence of binge drinking in the past month (31.8%; 95% CI: 29.0–34.5%) than foreign-born Hispanic men (26.4%; 95% CI: 24.2–28.6%), whereas there was no difference in the prevalence of binge drinking between US-born and foreign-born Asian men (14.0% and 14.5%, respectively). Of note, a study based in SEER-Medicare found the proportion of liver cancer attributable to alcoholic liver disease did not increase during the 1990s (42), and there is no consistent evidence of an increase in the prevalence of alcohol abuse in the US over the last several decades (48, 49), indicating that alcohol abuse is unlikely to be responsible for the rising incidence of liver cancer. Instead, the more likely causes are HCV and nonalcoholic fatty liver disease or steatohepatitis; the latter is an underlying cause of cirrhosis that has become increasingly common in concert with the epidemics of type 2 diabetes and obesity (50, 51), and appears to be more common in Mexican Americans than in other racial/ethnic groups in the US (52, 53). According to 2001 CHIS data, the prevalence of obesity among Hispanic adults generally coincided with liver cancer incidence patterns, with higher rates among US-born Hispanic men (27.7%; 95% CI: 25.0–30.3%) than foreign-born Hispanic men (21.1%; 95% CI: 19.1–23.1%), and higher rates among foreign-born Hispanic women (29.0%; 95% CI: 26.9–31.0%) than US-born Hispanic women (25.3%; 95% CI: 23.0–27.5%) (47). A higher prevalence of obesity among women and a lower prevalence among men in Mexico compared with those in California (54) may also contribute to international liver cancer incidence patterns in Hispanics. Among Asians, however, CHIS data on the prevalence of obesity did not correspond with liver cancer incidence patterns, with higher rates in US-born (12.9%; 95% CI: 7.5–18.3%) than foreign-born Asian men (4.9%; 3.3–6.5%), and slightly higher rates in US-born (5.4%; 2.9–8.0%) than foreign-born Asian women (3.7%; 2.6–4.8%) (47). These patterns, along with the fact that liver cancer incidence rates among Asians have not risen in concert with the rising prevalence of obesity and chronic HCV infection, suggest that nonalcoholic fatty liver disease and HCV may not be major contributing factors to liver cancer risk among US Asians.

Instead, 60–80% of liver cancer among Asians in Asia, as well as foreign-born Asians in US, is caused by chronic HBV infection (5559) (except in Japan, where up to 50–70% of liver cancer is attributable to HCV (59, 60)). The predominant etiologic role of HBV in most of Asia likely explains why Asians, despite having markedly lower prevalences of binge drinking and obesity than Hispanics, nevertheless have higher incidence rates of liver cancer. HBV is endemic in most of East and Southeast Asia, where approximately 10% of the population is chronically infected (61). (Japan is an exception, with a 2–7% prevalence of chronic HBV infection (61).) By comparison, the prevalence of chronic HBV infection in the US non-Asian population is less than 0.5% (61). Most chronic HBV infection in Asia is acquired at birth from infected mothers and during early childhood from close contact with infected adults or children (62). Due in part to the lower population-wide prevalence of chronic HBV infection in the US, and perhaps to the widespread availability of an HBV vaccine since 1982, the prevalence of chronic HBV infection is substantially lower in US-born than foreign-born Asians (61, 63, 64). The prevalence of HCV infection is also likely lower in US-born than foreign-born Asians, given the higher population-wide prevalence of HCV infection in several Asian countries than in the US (60), although direct evidence is unavailable. In addition, aflatoxin B1, a hepatocarcinogenic metabolite produced by Aspergillus fungi, is more prevalent and more commonly consumed with contaminated staple foods in Asia than in the US (65). These differences most likely offer the primary explanation for the lower incidence rates of liver cancer among US-born than foreign-born Asians in our study, as well as the lower rates among Asians in the US than in Asia.

The nativity patterns we observed among Hispanics are consistent with those of El-Serag et al., who found that liver cancer mortality rates among US-born Hispanic men in California and Texas in 1999–2001 were double those among foreign-born Hispanic men, whereas rates did not differ appreciably between US-born and foreign-born Hispanic women (40). El-Serag et al. also found that liver cancer mortality rates increased substantially more among US-born than foreign-born Hispanic men and women between 1979–1981 and 1999–2001. By using incidence instead of mortality data, we showed that these patterns were most likely due to differences in disease risk, rather than liver cancer treatment. Although they lacked the ability to compare US- with foreign-born Hispanics, Pinheiro et al. found that liver cancer incidence rates among (predominantly foreign-born) Mexican, Puerto Rican, and Cuban males in Florida in 1999–2001 were consistently higher than the GLOBOCAN 2002 incidence rates in their countries of origin, whereas rates were lower among Mexican, Puerto Rican, and Cuban females in Florida than in Central America (66). Similarly, Ho et al. reported higher liver cancer incidence rates in US mainland than island Puerto Rican males, but not females (67). Taken together, these results reinforce the notion that behavioral or environmental risk factors related to migration or acculturation act rapidly to influence liver cancer incidence among Hispanic males within a single generation. In particular, Pinheiro et al. suggested that the diverging patterns by sex might be due to a tendency of male immigrants to adopt less healthy lifestyles, including increased alcohol consumption and intravenous drug use leading to viral hepatitis infection, compared with females (66).

Previous studies of liver cancer patterns by nativity among US Asians also found results similar to ours, although our data enhance prior findings in several ways. El-Serag et al. reported that liver cancer mortality rates among Asian men and women in California and Texas were nearly three times higher in the foreign-born than the US-born, and increased modestly among foreign-born but not US-born Asian men and women between 1979–1981 and 1999–2001 (40). Again, by analyzing incidence data, we ruled out the possibility that these patterns could have been due to differences in liver cancer treatment. Like us, Rosenblatt et al. found using SEER data that liver cancer incidence rates were highest among Asians in Asia, intermediate among foreign-born Asians in the US, and lowest among US-born Asians. However, they did not compute rate ratios to compare incidence rates directly between foreign-born and US-born Asians, and they randomly imputed birthplace for all cases with unknown birthplace. Because birthplace is non-randomly missing in cancer registry data (15, 23, 24), we strengthened these prior findings through imputation of missing birthplace using a validated SSN-based method. Lee et al. found similar results comparing liver cancer incidence rates between native South Koreans and Korean Americans, but they did not classify Korean Americans by nativity.

To our knowledge, no other study in the US has examined differences in liver cancer incidence rates by neighborhood ethnic enclave status and SES. A Canadian study found that liver cancer incidence rates were geographically clustered according to the proportion of immigrants within provincial health regions (68). In that study, the regional prevalence of smoking, alcohol use, obesity, and diabetes, as well as the distribution of physical activity, fruit and vegetable consumption, education, and income, did not contribute significantly to geographic variation in liver cancer incidence, although the large geographic scale may have obscured true etiologic effects.

An important consideration in interpreting our results is the impact of misclassification of undocumented/unlawful immigrants as US-born instead of foreign-born. In 2006, approximately 2.8 million undocumented immigrants lived in California, comprising about 8% of the state’s inhabitants and 30% of all immigrants (69). Approximately 90% of undocumented immigrants in California are estimated to be from Latin America, including 65% from Mexico alone; most of the remaining 10% are from Asia (69). Undocumented immigrants may be more likely than documented immigrants to falsely report themselves as US-born, as well as to provide false SSNs. A recent study by the Social Security Administration found that only 4% of US employees overall had SSNs that did not match the name and number in the administration’s records, although this figure is almost certainly an underestimate of the proportion of mismatched SSNs specifically among undocumented immigrants (70).

However, we believe that the bias due to misclassification of nativity among undocumented immigrants was limited in our study. False reporting of a US birthplace would likely have affected both the numerators and denominators of incidence rates, producing little net change. Bias due to the use of false SSNs to impute nativity for patients with missing birthplace information, resulting in an overestimate of US-born cases and a corresponding underestimate of foreign-born cases, was also limited, as nativity was imputed for only 9% of cases. Furthermore, even an individual using a false SSN would have been correctly classified as foreign-born if the SSN was issued after the individual reached age 25 years (if Asian) or 20 years (if Hispanic). For legally documented immigrants who had a true SSN issued early in life and missing birthplace in the CCR, the bias due to being misclassified by our algorithm as US-born was tempered by the fact that those individuals would have spent the majority of their lives in the US, like the US-born population with whom they were grouped.

Other limitations of our study include the lack of cancer registry data on individual-level risk factors that may contribute to the observed incidence rate differences, as well as our inability to examine joint combinations of nativity and neighborhood enclave status or SES, due to the unavailability of nativity-and race/ethnicity-specific population data at the census-tract level. Counterbalancing these limitations are the notable strengths of this study, including its setting in the state with the nation’s largest Hispanic and Asian populations; the generalizability of our results, due to the population-based design; and our use of high-quality cancer registry data. For the 91% of cases with known birthplace, we have previously demonstrated that cancer registry birthplace information is highly valid in comparison with self-reported birthplace (29, 30). Likewise, prior studies have shown excellent agreement between cancer registry data and self-reported data on race, and good agreement on Hispanic ethnicity and Asian subgroup (71, 72).

In summary, we found that liver cancer incidence rates among California Hispanics and Asians varied significantly by nativity, residential enclave status, and neighborhood SES, with US-born Hispanic males, possibly foreign-born Hispanic females, foreign-born Asian males and females, and those living in lower-SES, higher-enclave-status neighborhoods having higher rates than their respective comparison groups. These geographic and environmental differences highlight the importance of behavioral and environmental risk factors in liver cancer development, and provide valuable new information to guide the prioritization of future liver cancer control strategies. In particular, our results indicate that cultural, linguistic, and socioeconomic considerations are likely critical in the design of programs to prevent, detect, and treat hepatitis B and C infection and reduce the prevalence of alcohol abuse, obesity, and diabetes in the high-risk Hispanic and Asian populations. For example, to be accessible to those at greatest risk, such programs may need to be located in dense ethnic enclaves and to offer hepatitis testing, antiviral and substance abuse treatment, liver cancer screening, and other preventive care for free or at a low cost. Better understanding of how behavioral risk factors for liver cancer vary by nativity, acculturation, and SES can enhance such programs to maximize their effectiveness and impact.

Acknowledgments

The authors thank Ms. Rita Leung, Ms. Sarah Shema, Ms. Jane Pham, Dr. Theresa Keegan, and Dr. Tim Miller for their assistance with this manuscript. This study was supported by Surveillance, Epidemiology and End Results Rapid Response Surveillance Study contracts N01-PC-35136 and N01-PC-35139. The collection of cancer incidence data used in this study was supported by the California Department of Health Services as part of the statewide cancer reporting program mandated by California Health and Safety Code Section 103885; the National Cancer Institute’s Surveillance, Epidemiology and End Results Program under contract N01-PC-35136 awarded to the Cancer Prevention Institute of California (formerly the Northern California Cancer Center), contract N01-PC-35139 awarded to the University of Southern California, and contract N02-PC-15105 awarded to the Public Health Institute; and the Centers for Disease Control and Prevention’s National Program of Cancer Registries, under agreement #U55/CCR921930-02 awarded to the Public Health Institute. The ideas and opinions expressed herein are those of the author and endorsement by the State of California, Department of Health Services, the National Cancer Institute, and the Centers for Disease Control and Prevention or their contractors and subcontractors is not intended nor should be inferred.

References

  • 1.El-Serag HB, Mason AC. Rising incidence of hepatocellular carcinoma in the United States. N Engl J Med. 1999;340:745–750. doi: 10.1056/NEJM199903113401001. [DOI] [PubMed] [Google Scholar]
  • 2.El-Serag HB, Davila JA, Petersen NJ, McGlynn KA. The continuing increase in the incidence of hepatocellular carcinoma in the United States: an update. Ann Intern Med. 2003;139:817–823. doi: 10.7326/0003-4819-139-10-200311180-00009. [DOI] [PubMed] [Google Scholar]
  • 3.Edwards BK, Ward E, Kohler BA, et al. Annual report to the nation on the status of cancer, 1975–2006, featuring colorectal cancer trends and impact of interventions (risk factors, screening, and treatment) to reduce future rates. Cancer. 2010;116:544–573. doi: 10.1002/cncr.24760. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Altekruse SF, Kosary CL, Krapcho M, et al., editors. Bethesda, MD: National Cancer Institute; SEER Cancer Statistics Review, 1975–2007. http://seer.cancer.gov/csr/1975_2007/, based on November 2009 SEER data submission, posted to the SEER web site, 2010.
  • 5.United States Census Bureau. Press Release: Census Bureau Estimates Nearly Half of Children Under Age 4 are Minorities. Washington, D.C.: Public Information Office, U.S. Census Bureau; 2009 May 14; Available at http://www.census.gov/newsroom/releases/archives/population/cb09-75.html.
  • 6.Belongia EA, Costa J, Gareen IF, et al. NIH consensus development statement on management of hepatitis B. NIH Consens State Sci Statements. 2008;25:1–29. [PubMed] [Google Scholar]
  • 7.Singal AK, Singh A, Jaganmohan S, et al. Antiviral therapy reduces risk of hepatocellular carcinoma in patients with hepatitis C virus-related cirrhosis. Clin Gastroenterol Hepatol. 2010;8:192–199. doi: 10.1016/j.cgh.2009.10.026. [DOI] [PubMed] [Google Scholar]
  • 8.Zhang BH, Yang BH, Tang ZY. Randomized controlled trial of screening for hepatocellular carcinoma. J Cancer Res Clin Oncol. 2004;130:417–422. doi: 10.1007/s00432-004-0552-0. [DOI] [PubMed] [Google Scholar]
  • 9.Reyes-Ortiz CA, Ju H, Inniss A, Eschbach K, Kuo YF, Goodwin JS. Acculturation and serum nutrients thought to be involved with cancer prevention among Mexican American men in the United States. Cancer Control. 2009;16:169–175. doi: 10.1177/107327480901600209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Haas JS, Phillips KA, Sonneborn D, et al. Variation in access to health care for different racial/ethnic groups by the racial/ethnic composition of an individual's county of residence. Med Care. 2004;42:707–714. doi: 10.1097/01.mlr.0000129906.95881.83. [DOI] [PubMed] [Google Scholar]
  • 11.Osypuk TL, Roux AV, Hadley C, Kandula NR. Are immigrant enclaves healthy places to live? The Multi-ethnic Study of Atherosclerosis. Soc Sci Med. 2009;69:110–120. doi: 10.1016/j.socscimed.2009.04.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Gresenz CR, Rogowski J, Escarce JJ. Community demographics and access to health care among U.S. Hispanics. Health Serv Res. 2009;44:1542–1562. doi: 10.1111/j.1475-6773.2009.00997.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Pickett KE, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health. 2001;55:111–122. doi: 10.1136/jech.55.2.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Evans GW, Kantrowitz E. Socioeconomic status and health: the potential role of environmental risk exposure. Annu Rev Public Health. 2002;23:303–331. doi: 10.1146/annurev.publhealth.23.112001.112349. [DOI] [PubMed] [Google Scholar]
  • 15.Gomez SL, Glaser SL. Quality of birthplace information obtained from death certificates for Hispanics, Asians, and Pacific Islanders. Ethn Dis. 2004;14:292–295. [PubMed] [Google Scholar]
  • 16.Surveillance EaERP, National Cancer Institute. [Last accessed June 30, 2010];Overview of the SEER Program. Available at http://seer.cancer.gov/about/. [internet] [cited; Available from: http://seer.cancer.gov/registries/
  • 17.California Cancer Registry. [Last accessed June 30, 2010];Frequently asked questions. Available at http://www.ccrcal.org/questions.html#frequently%20asked%20question.
  • 18.United States Census Bureau. Census 2000 Summary File 2. Washington, D.C.: U.S. Department of Commerce, Economics and Statistics Administration; 2001. [Google Scholar]
  • 19.Pew Hispanic Center. Survey Brief: Latinos in California, Texas, New York, Florida and New Jersey. Washington, D.C.: Pew Hispanic Center; 2004. Mar, Available at: http://pewhispanic.org/files/factsheets/10.pdf. [Google Scholar]
  • 20.Gomez SL, Le GM, West DW, Satariano WA, O'Connor L. Hospital policy and practice regarding the collection of data on race, ethnicity, and birthplace. Am J Public Health. 2003;93:1685–1688. doi: 10.2105/ajph.93.10.1685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.NAACCR Latino Research Work Group. NAACCR Guideline for Enhancing Hispanic-Latino Identification: Revised NAACCR Hispanic/Latino Identification Algorithm [NHIA v2] Springfield, IL: North American Association of Central Cancer Registries; 2005 September 21; Available at http://www.naaccr.org/filesystem/pdf/NHIA%20v2%2009-21-05.pdf.
  • 22.NAACCR Asian/Pacific Islander Work Group. NAACCR Asian/Pacific Islander Identification Algorithm [NAPIIA v1.1]: Enhancing the Specificity of Identification. Springfield, IL: North American Association of Central Cancer Registries; 2008 July 3; Available at http://www.naaccr.org/filesystem/pdf/NAPIIA%20v1.1%2007032008.pdf.
  • 23.Gomez SL, Glaser SL. Quality of cancer registry birthplace data for Hispanics living in the United States. Cancer Causes Control. 2005;16:713–723. doi: 10.1007/s10552-005-0694-7. [DOI] [PubMed] [Google Scholar]
  • 24.Lin SS, Clarke CA, O'Malley CD, Le GM. Studying cancer incidence and outcomes in immigrants: methodological concerns. Am J Public Health. 2002;92:1757–1759. doi: 10.2105/ajph.92.11.1757-a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Gomez SL, Quach T, Horn-Ross PL, et al. Hidden breast cancer disparities in Asian women: disaggregating incidence rates by ethnicity and migrant status. Am J Public Health. 2010;100 Suppl 1:S125–S131. doi: 10.2105/AJPH.2009.163931. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Block G, Matanoski GM, Seltser RS. A method for estimating year of birth using social security number. Am J Epidemiol. 1983;118:377–395. doi: 10.1093/oxfordjournals.aje.a113645. [DOI] [PubMed] [Google Scholar]
  • 27.Shimizu H, Mack TM, Ross RK, Henderson BE. Cancer of the gastrointestinal tract among Japanese and white immigrants in Los Angeles County. J Natl Cancer Inst. 1987;78:223–228. [PubMed] [Google Scholar]
  • 28.Shimizu H, Ross RK, Bernstein L, Yatani R, Henderson BE, Mack TM. Cancers of the prostate and breast among Japanese and white immigrants in Los Angeles County. Br J Cancer. 1991;63:963–966. doi: 10.1038/bjc.1991.210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Gomez SL, Glaser SL. Quality of cancer registry birthplace data for Hispanics living in the United States. Cancer Causes Control. 2005;16:713–723. doi: 10.1007/s10552-005-0694-7. [DOI] [PubMed] [Google Scholar]
  • 30.Gomez SL, Glaser SL, Kelsey JL, Lee MM. Bias in completeness of birthplace data for Asian groups in a population-based cancer registry (United States) Cancer Causes Control. 2004;15:243–253. doi: 10.1023/B:CACO.0000024244.91775.64. [DOI] [PubMed] [Google Scholar]
  • 31.Keegan TH, John EM, Fish KM, Alfaro-Velcamp T, Clarke CA, Gomez SL. Breast cancer incidence patterns among California Hispanic women: differences by nativity and residence in an enclave. Cancer Epidemiol Biomarkers Prev. 2010;19:1208–1218. doi: 10.1158/1055-9965.EPI-10-0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Gomez SL, Clarke CA, Shema SJ, Chang ET, Keegan TH, Glaser SL. Disparities in breast cancer survival among Asian women by ethnicity and immigrant status: a population-based study. Am J Public Health. 2010;100:861–869. doi: 10.2105/AJPH.2009.176651. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3–9. doi: 10.1097/00041433-200202000-00002. [DOI] [PubMed] [Google Scholar]
  • 34.Yost K, Perkins C, Cohen R, Morris C, Wright W. Socioeconomic status and breast cancer incidence in California for different race/ethnic groups. Cancer Causes Control. 2001;12:703–711. doi: 10.1023/a:1011240019516. [DOI] [PubMed] [Google Scholar]
  • 35.Gomez SL, Le GM, Miller T, et al. Cancer Incidence among Asians in the Greater Bay Area, 1990–2002. Fremont, CA: 2005. Jul, [Google Scholar]
  • 36.Bates D, Chambers J, Dalgaard P, et al. R Program [R] 2.8.0 ed. The R Foundation for Statistical Computing; [Google Scholar]
  • 37.Surveillance EaERP. SEER*Stat Software version 6.6.2. 2010 April 13; Available at http://seer.cancer.gov/seerstat/index.html.
  • 38.Parkin DM, Bray F, Ferlay J, Pisani P. Global cancer statistics, 2002. CA Cancer J Clin. 2005;55:74–108. doi: 10.3322/canjclin.55.2.74. [DOI] [PubMed] [Google Scholar]
  • 39.Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. GLOBOCAN 2008, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 10 [Internet] Lyon, France: International Agency for Research on Cancer; 2010. Available at: http://globocan.iarc.fr. Version 1.0, June 2010. [Google Scholar]
  • 40.El-Serag HB, Lau M, Eschbach K, Davila J, Goodwin J. Epidemiology of hepatocellular carcinoma in Hispanics in the United States. Arch Intern Med. 2007;167:1983–1989. doi: 10.1001/archinte.167.18.1983. [DOI] [PubMed] [Google Scholar]
  • 41.Deuffic-Burban S, Poynard T, Sulkowski MS, Wong JB. Estimating the future health burden of chronic hepatitis C and human immunodeficiency virus infections in the United States. J Viral Hepat. 2007;14:107–115. doi: 10.1111/j.1365-2893.2006.00785.x. [DOI] [PubMed] [Google Scholar]
  • 42.Davila JA, Morgan RO, Shaib Y, McGlynn KA, El-Serag HB. Hepatitis C infection and the increasing incidence of hepatocellular carcinoma: a population-based study. Gastroenterology. 2004;127:1372–1380. doi: 10.1053/j.gastro.2004.07.020. [DOI] [PubMed] [Google Scholar]
  • 43.Guerrero-Preston R, Siegel A, Renz J, Vlahov D, Neugut A. HCV Infection and Cryptogenic Cirrhosis are Risk Factors for Hepatocellular Carcinoma Among Latinos in New York City. J Community Health. 2009 doi: 10.1007/s10900-009-9184-2. [DOI] [PubMed] [Google Scholar]
  • 44.Santos-Lopez G, Sosa-Jurado F, Vallejo-Ruiz V, Melendez-Mena D, Reyes-Leyva J. Prevalence of hepatitis C virus in the Mexican population: a systematic review. J Infect. 2008;56:281–290. doi: 10.1016/j.jinf.2008.02.001. [DOI] [PubMed] [Google Scholar]
  • 45.Armstrong GL, Wasley A, Simard EP, McQuillan GM, Kuhnert WL, Alter MJ. The prevalence of hepatitis C virus infection in the United States, 1999 through 2002. Ann Intern Med. 2006;144:705–714. doi: 10.7326/0003-4819-144-10-200605160-00004. [DOI] [PubMed] [Google Scholar]
  • 46.Morgan TR, Mandayam S, Jamal MM. Alcohol and hepatocellular carcinoma. Gastroenterology. 2004;127:S87–S96. doi: 10.1053/j.gastro.2004.09.020. [DOI] [PubMed] [Google Scholar]
  • 47.UCLA Center for Health Policy Research, California Department of Health Services, Public Health Institute. [Last accessed July 6, 2010];California Health Interview Survey (CHIS) 2001–2007. Available at www.chis.ucla.edu. [cited; Available from:
  • 48.Grucza RA, Norberg KE, Bierut LJ. Binge drinking among youths and young adults in the United States: 1979–2006. J Am Acad Child Adolesc Psychiatry. 2009;48:692–702. doi: 10.1097/CHI.0b013e3181a2b32f. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Serdula MK, Brewer RD, Gillespie C, Denny CH, Mokdad A. Trends in alcohol use and binge drinking, 1985–1999: results of a multi-state survey. Am J Prev Med. 2004;26:294–298. doi: 10.1016/j.amepre.2003.12.017. [DOI] [PubMed] [Google Scholar]
  • 50.Siegel AB, Zhu AX. Metabolic syndrome and hepatocellular carcinoma: two growing epidemics with a potential link. Cancer. 2009;115:5651–5661. doi: 10.1002/cncr.24687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Starley BQ, Calcagno CJ, Harrison SA. Nonalcoholic fatty liver disease and hepatocellular carcinoma: a weighty connection. Hepatology. 2010;51:1820–1832. doi: 10.1002/hep.23594. [DOI] [PubMed] [Google Scholar]
  • 52.Clark JM, Brancati FL, Diehl AM. The prevalence and etiology of elevated aminotransferase levels in the United States. Am J Gastroenterol. 2003;98:960–967. doi: 10.1111/j.1572-0241.2003.07486.x. [DOI] [PubMed] [Google Scholar]
  • 53.Ruhl CE, Everhart JE. Determinants of the association of overweight with elevated serum alanine aminotransferase activity in the United States. Gastroenterology. 2003;124:71–79. doi: 10.1053/gast.2003.50004. [DOI] [PubMed] [Google Scholar]
  • 54.Garcia-Garcia G, Aviles-Gomez R, Luquin-Arellano VH, et al. Cardiovascular risk factors in the Mexican population. Ren Fail. 2006;28:677–687. doi: 10.1080/08860220600936096. [DOI] [PubMed] [Google Scholar]
  • 55.Parkin DM. The global health burden of infection-associated cancers in the year 2002. Int J Cancer. 2006;118:3030–3044. doi: 10.1002/ijc.21731. [DOI] [PubMed] [Google Scholar]
  • 56.Hwang SJ, Tong MJ, Lai PP, et al. Evaluation of hepatitis B and C viral markers: clinical significance in Asian and Caucasian patients with hepatocellular carcinoma in the United States of America. J Gastroenterol Hepatol. 1996;11:949–954. [PubMed] [Google Scholar]
  • 57.Han KH, Kim JK. Liver cancer in Korea. Hepatol Res. 2007;37 Suppl 2:S106–S109. doi: 10.1111/j.1872-034X.2007.00171.x. [DOI] [PubMed] [Google Scholar]
  • 58.Hwang JP, Hassan MM. Survival and hepatitis status among Asian Americans with hepatocellular carcinoma treated without liver transplantation. BMC Cancer. 2009;9:46. doi: 10.1186/1471-2407-9-46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Tong MJ, Chavalitdhamrong D, Lu DS, et al. Survival in Asian Americans after treatments for hepatocellular carcinoma: a seven-year experience at UCLA. J Clin Gastroenterol. 2010;44:e63–e70. doi: 10.1097/MCG.0b013e3181b4b68b. [DOI] [PubMed] [Google Scholar]
  • 60.Shepard CW, Finelli L, Alter MJ. Global epidemiology of hepatitis C virus infection. Lancet Infect Dis. 2005;5:558–567. doi: 10.1016/S1473-3099(05)70216-4. [DOI] [PubMed] [Google Scholar]
  • 61.Weinbaum CM, Williams I, Mast EE, et al. Recommendations for identification and public health management of persons with chronic hepatitis B virus infection. MMWR Recomm Rep. 2008;57:1–20. [PubMed] [Google Scholar]
  • 62.Shepard CW, Simard EP, Finelli L, Fiore AE, Bell BP. Hepatitis B virus infection: epidemiology and vaccination. Epidemiol Rev. 2006;28:112–125. doi: 10.1093/epirev/mxj009. [DOI] [PubMed] [Google Scholar]
  • 63.Lin SY, Chang ET, So SK. Why we should routinely screen Asian American adults for hepatitis B: a cross-sectional study of Asians in California. Hepatology. 2007;46:1034–1040. doi: 10.1002/hep.21784. [DOI] [PubMed] [Google Scholar]
  • 64.Chao SD, Chang ET, Le PV, Prapong W, Kiernan M, So SK. The Jade Ribbon Campaign: A Model Program for Community Outreach and Education to Prevent Liver Cancer in Asian Americans. J Immigr Minor Health. 2007 doi: 10.1007/s10903-007-9094-2. [DOI] [PubMed] [Google Scholar]
  • 65.Groopman JD, Kensler TW, Wild CP. Protective interventions to prevent aflatoxin-induced carcinogenesis in developing countries. Annu Rev Public Health. 2008;29:187–203. doi: 10.1146/annurev.publhealth.29.020907.090859. [DOI] [PubMed] [Google Scholar]
  • 66.Pinheiro PS, Sherman RL, Trapido EJ, et al. Cancer incidence in first generation U.S. Hispanics: Cubans, Mexicans, Puerto Ricans, and new Latinos. Cancer Epidemiol Biomarkers Prev. 2009;18:2162–2169. doi: 10.1158/1055-9965.EPI-09-0329. [DOI] [PubMed] [Google Scholar]
  • 67.Ho GY, Figueroa-Valles NR, De La Torre-Feliciano T, et al. Cancer disparities between mainland and island Puerto Ricans. Rev Panam Salud Publica. 2009;25:394–400. doi: 10.1590/s1020-49892009000500003. [DOI] [PubMed] [Google Scholar]
  • 68.Chen Y, Yi Q, Mao Y. Cluster of liver cancer and immigration: a geographic analysis of incidence data for Ontario 1998–2002. Int J Health Geogr. 2008;7:28. doi: 10.1186/1476-072X-7-28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Public Policy Institute of California. San Francisco: Public Policy Institute of California; Illegal Immigrants. 2008 June; Available at http://www.ppic.org/content/pubs/jtf/JTF_IllegalImmigrantsJTF.pdf.
  • 70.U.S. Immigration Support. False Social Security Numbers Used by Undocumented Workers. Washington, D.C.: U.S. Immigration Support; [Last accessed June 30, 2010]. Available at http://www.usimmigrationsupport.org/false-social-security-number.html. [Google Scholar]
  • 71.Clegg LX, Reichman ME, Hankey BF, et al. Quality of race, Hispanic ethnicity, and immigrant status in population-based cancer registry data: implications for health disparity studies. Cancer Causes Control. 2007;18:177–187. doi: 10.1007/s10552-006-0089-4. [DOI] [PubMed] [Google Scholar]
  • 72.Gomez SL, Glaser SL. Misclassification of race/ethnicity in a population-based cancer registry (United States) Cancer Causes Control. 2006;17:771–781. doi: 10.1007/s10552-006-0013-y. [DOI] [PubMed] [Google Scholar]

RESOURCES