Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2017 Dec 21.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2012 Aug 21;21(10):1814–1822. doi: 10.1158/1055-9965.EPI-12-0659

Examining the Association Between Socioeconomic Status and Invasive Colorectal Cancer Incidence and Mortality in California

Astrid Steinbrecher 1, Kari Fish 2,3, Christina A Clarke 2,4, Dee W West 2,3,4, Scarlett L Gomez 2,4, Iona Cheng 1
PMCID: PMC5738465  NIHMSID: NIHMS926567  PMID: 22911333

Abstract

Background

Colorectal cancer (CRC) incidence and mortality rates vary across race/ethnicity. Socioeconomic status (SES) also influences CRC rates; however, these associations might be inconsistent across racial/ethnic groups and tumor subsite. We examined associations between area-level SES and CRC incidence and mortality in a population-based registry study of non-Hispanic Whites, African Americans, Hispanics, and Asians/Pacific Islanders from California.

Methods

Data on 52,608 incident CRC cases (1998–2002) and 14,515 CRC deaths (1999–2001) aged ≥50 years were obtained from the California Cancer Registry. Based on 2000 U.S. Census data, each cancer case and death was assigned a multidimensional census tract-level SES index. SES-specific quintiles of CRC incidence and mortality rates, incidence rate ratios (IRR) and mortality rate ratios, and 95% confidence intervals (CI) were estimated. Analyses were stratified by anatomical site, including left- versus right-sided tumors, race/ethnicity, and stage of disease.

Results

Overall CRC incidence and SES did not show a clear association, yet patterns of associations varied across tumor subsite and race/ethnicity. Positive associations between SES and CRC incidence were found in Hispanics [SES Q5 v. Q1: IRR = 1.54, CI = 1.39–1.69], irrespective of the subsite. For Whites [SES Q5 v. Q1: IRR = 0.80, CI = 0.77–0.83], and African Americans [SES Q5 v. Q1: IRR = 0.83, CI = 0.70–0.97] inverse associations were observed, predominantly for left-sided tumors. Mortality rates declined with increasing SES in Whites, whereas in Hispanics mortality rates significantly increased with SES.

Conclusions

Our findings show that SES differences in CRC incidence and mortality vary considerably across anatomical subsite and race/ethnicity.

Impact

Studies combining area- and individual-level SES information are warranted.

Introduction

Colorectal cancer (CRC) is the third most common cancer in the United States (1, 2), accounting for approximately 10% of newly diagnosed cancers and 9% of cancer deaths (1). Incidence and mortality rates of CRC vary markedly across racial/ethnic groups. In the United States, African Americans and non-Hispanic Whites experience the highest incidence and mortality rates of CRC with Asians/Pacific Islanders and Hispanics having lower rates (2). Socioeconomic status (SES) has been inconsistently associated with incidence rates of CRC in the United States (3) with variable associations across racial/ethnic groups (4, 5). Lower SES has been consistently linked to higher mortality rates for CRC (3), yet less is known about how this relationship differs across racial/ethnic groups.

Over the past 2 decades, a shift in incidence toward more right-sided (ascending and transverse) than leftsided (descending and sigmoid) colon cancer has been reported (68). This has been attributed to differences in clinical and epidemiologic characteristics, molecular and genetic factors, and the use of colonoscopy and screening (7, 913). Furthermore, endoscopy screening for CRC has been positively associated with education, income, and health insurance coverage (1416). Whether SES impacts the distribution of left- and right-sided colon cancer, particularly among racial/ethnic groups, is not well understood and has yet to be studied.

To further understand SES-related disparities in CRC, we examined the association between SES and incidence and mortality rates of CRC in a large, population-based study of CRC from the ethnically diverse state of California. In particular, we focused on examining the differences in these rates across racial/ethnic groups and tumor subsite.

Materials and Methods

Study population

Incident first primary cases of invasive CRC (n = 58,897) diagnosed from January 1998 through December 2002 and CRC deaths (n = 15,546) that occurred from January 1999 through December 2001 were identified by the California Cancer Registry (CCR), comprising 3 registries that are part of the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program (Greater Bay Area Cancer Registry, Los Angeles Cancer Surveillance Program, Cancer Registry of Greater California). These 5-year pericensal incidence and 3-year mortality periods were based on the availability of the appropriate population estimates to be used as denominators for rate calculations at the census tract level, based on 2000 Census data. For incident cases of CRC, data on age at cancer diagnosis, sex, race/ethnicity, residential address at diagnosis, and tumor subsite, stage, and grade were collected from medical records. For CRC deaths, age, sex, race/ethnicity, and residential address at death were abstracted from death records; information on tumor subsite was not available. Race/ethnicity was classified as 5 mutually exclusive groups: (i) non-Hispanic African American, (ii) non-Hispanic Asian/Pacific Islander, (iii) Hispanic (of any race), (iv) non-Hispanic White, and (v) other/unknown. Tumor subsite was classified according to the International Classification of Diseases for Oncology, Second Edition with right colon cancer (cecum, appendix, ascending colon, hepatic flexure, transverse colon; C18.0–C18.4), left colon cancer (splenic flexure, descending colon, sigmoid; C18.5–18.7), rectal cancer (rectal sigmoid junction, rectum; C19.9 and C20.9), and other (C18.8–C18.9; overlapping lesions and not specified). Tumor stage was categorized as localized, regional/metastasized, or not abstracted/unknown. Because of low numbers of cases of “other” subsite (n = 2,251) and of unknown stage (n = 5,958), these cancers were omitted from site- and stage-specific analyses, respectively. For the present study, CRC patients aged less than 50 years at diagnosis and death (5,892 incident cases and 997 deaths) were excluded to focus on more sporadic forms of CRC. Those with other/unknown race/ethnicity (397 cases and 34 deaths) were also excluded, resulting in a study population of 52,608 incident CRC cases (1998-2002) and 14,515 CRC deaths (1999-2001).

SES and population data

Residential addresses of the cancer cases and deaths were geo-coded to the census tract level, an area covering about 4,000 residents, and linked to SES characteristics from the U.S. Census Bureau for these census tracts (17). Patients with unknown census tract of residence were randomly allocated to census tracts within their county of residence.

A previously developed composite score of SES was used, created by principal component analysis based on 7 SES indicators from census data: (i) education (18); (ii) median household income; (iii) percentage living 200% below poverty level; (iv) percentage of blue-collar workers; (v) percentage older than 15 years in workforce, without job; (vi) median rent; and (vii) median house value (19). Each census tract was assigned this composite score and categorized in quintiles based on the statewide distribution. Supplementary Table S1 (20) shows the distribution of the 7 census-based indicator variables of SES and the racial/ethnic distribution for each SES quintile. In the lowest SES quintile (Q1), the mean years of education was 11 years in comparison to 15 years in the highest quintile (Q5); the median household income was $28,335 versus $89,254 in Q1 v. Q5, respectively. Population data from age-, sex-, and race-specific population counts for census tracts, were obtained from the modified age, race, sex, and Hispanic origin files from the 2000 U.S. census and used as the denominator in rate calculation. Because population estimates for census tracts were not available for intercensal years, the 2000 population counts were multiplied by 5 to estimate the total population at risk for the 5-year period of incidence and by 3 to estimate the 3-year period of mortality.

Statistical analysis

CRC incidence and mortality rates were calculated per 100,000 individuals and age-adjusted to the 2000 U.S. standard population. SES quintile-specific incidence rate ratios (IRR) and mortality rate ratios (MRR) of CRC and 95% confidence intervals (CI) were estimated. Stratification analyses were conducted to examine consistency of effects across anatomical site, tumor subsite (left- vs. right-sided tumors for IRR only), race/ethnicity, and stage at diagnosis (IRR only). All analyses were conducted using SEER*Stat, version 6.3.4.

Results

SES and CRC incidence

Table 1 shows the characteristics of the 52,608 invasive incident CRC cases diagnosed from 1998 through 2002. The largest proportion of cases were located in the right colon (n = 20,560; 39.1%) in comparison to the left colon (n = 14,969; 28.5%) and rectum (n = 14,828; 28.2%). A total of 55% of the cases had regional/metastasized disease and 58% were moderately differentiated with similar proportions across tumor subsites. About 22% of CRC cases were in the highest SES quintile, whereas 13.7% of CRC cases were in the lowest SES quintile.

Table 1.

Characteristics of incident CRC cases, California 1998-2002

Total CRC (n = 52,608) n (%) Right-sided colon cancer (n = 20,560) n (%) Left-sided colon cancer (n = 14,969) n (%) Rectal cance (n = 14,828) N (%)
Age group
 50–59 years   9,141 (17.4)   2,528 (12.3)   2,908 (19.4)   3,467 (23.4)
 60–69 years 12,944 (24.6)   4,464 (21.7)   3,989 (26.6)   4,116 (27.8)
 70–79 years 17,024 (32.4)   7,089 (34.5)   4,853 (32.4)   4,468 (30.1)
 80+ years 13,499 (25.7)   6,479 (31.5)   3,219 (21.5)   2,777 (18.7)
Male 26,681 (50.7)   9,179 (44.6)   8,067 (53.9)   8,399 (56.6)
Female 25,927 (49.3) 11,381 (55.4)   6,902 (46.1)   6,429 (43.4)
Race/ethnicity
 Non-Hispanic White 37,407 (71.1) 15,247 (74.2) 10,204 (68.2) 10,293 (69.4)
 African American   3,475 (6.6)   1,505 (7.3)   1,039 (6.9)      756 (5.1)
 Hispanic   6,427 (12.2)   2,257 (11.0)   1,856 (12.4)   2,050 (13.8)
 Asian/Pacific Islander   5,299 (10.1)   1,551 (7.5)   1,870 (12.5)   1,729 (11.7)
Tumor stage
 Localized 17,482 (33.2)   5,983 (29.1)   5,561 (37.2)   5,835 (39.4)
 Regional/metastasized 29,147 (55.4) 12,777 (62.1)   8,167 (54.6)   7,264 (49.0)
 Unknown   5,958 (11.3)   1,800 (8.8)   1,241 (8.3)   1,729 (11.7)
Tumor grade
 Well differentiated   4,691 (8.9)   1,691 (8.2)   1,653 (11.0)   1,290 (8.7)
 Moderately differentiated 30,853 (58.6) 11,983 (58.3)   9,540 (63.7)   9,007 (60.7)
 Poorly differentiated   8,846 (16.8)   4,709 (22.9)   1,929 (12.9)   2,037 (13.7)
 Unknown   8,218 (15.6)   2,177 (10.6)   1,847 (12.3)   2,494 (16.8)
SES quintile
 Q1 (lowest)   7,226 (13.7)   2,632 (12.8)   2,170 (14.5)   2,092 (14.1)
 Q2 10,624 (20.2)   3,997 (19.4)   3,032 (20.3)   3,065 (20.7)
 Q3 11,414 (21.7)   4,423 (21.5)   3,187 (21.3)   3,298 (22.2)
 Q4 11,814 (22.5)   4,803 (23.4)   3,236 (21.6)   3,299 (22.2)
 Q5 (highest) 11,530 (21.9)   4,705 (22.9)   3,344 (22.3)   3,074 (20.7)

There was no clear association between incidence rates of CRC and SES quintiles (Table 2). Incidence rates for right-sided colon cancer were slightly elevated in the highest SES quintile in comparison to the lowest quintile (IRRSES Q5 v. Q1 = 1.09; 95% CI: 1.04–1.14). For left colon cancer, rates were reduced for the highest than the lowest quintile (IRRSES Q5 v. Q1 = 0.93; 95% CI: 0.88–0.98) and among rectal cancer cases, no clear association was observed.

Table 2.

Overall CRC and subsite incidence rates by SES quintile and race/ethnicity, California 1998–2002a

Total CRC
Right colon cancer
Left colon cancer
Rectum cancer
n Rate IRR (95% CI) n Rate IRR (95% CI) n Rate IRR (95% CI) n Rate IRR (95% CI)
All Q1 7,226 134.0 1.00 2,632 49.3 1.00 2,170 40.0 1.00 2,092 38.3 1.00
Q2 10,624 140.7 1.05 (1.02–1.08) 3,997 53.0 1.08 (1.02-1.13) 3,032 40.1 1.00 (0.95-1.06) 3,065 40.5 1.06 (1.00-1.12)
Q3 11,414 133.9 0.99 (0.97-1.03) 4,423 51.8 1.05 (1.00-1.10) 3,187 37.4 0.93 (0.88-0.99) 3,298 38.8 1.01 (0.96-1.07)
Q4 11,814 135.3 1.01 (0.98-1.04) 4,803 55.1 1.12 (1.06-1.17) 3,236 37.1 0.93 (0.88-0.98) 3,299 37.7 0.99 (0.93-1.04)
Q5 11,530 129.5 0.97 (0.94-1.00) 4,705 53.7 1.09 (1.04-1.14) 3,344 37.3 0.93 (0.88-0.98) 3,074 33.8 0.88 (0.83-0.93)
Non-Hispanic Q1 3,380 160.2 1.00 1,289 59.6 1.00 967 46.4 1.00 953 46.4 1.00
 White Q2 7,019 147.6 0.92 (0.88-0.96) 2,747 56.7 0.95 (0.89-1.02) 1,936 41.2 0.89 (0.82-0.96) 1,972 42.3 0.91 (0.84-0.99)
Q3 8,455 134.5 0.84 (0.81-0.87) 3,387 52.8 0.89 (0.83-0.95) 2,282 36.6 0.79 (0.73-0.85) 2,393 39.1 0.84 (0.78-0.91)
Q4 9,150 135.0 0.84 (0.81-0.88) 3,865 56.3 0.94 (0.89-1.01) 2,370 35.4 0.76 (0.71-0.82) 2,532 37.9 0.82 (0.76-0.88)
Q5 9,403 127.8 0.80 (0.77-0.83) 3,959 54.2 0.91 (0.85-0.97) 2,649 35.9 0.77 (0.72-0.83) 2,443 32.8 0.71 (0.65-0.76)
African Q1 1209 172.9 1.00 506 72.6 1.00 380 54.1 1.00 260 36.8 1.00
 American Q2 912 161.7 0.94 (0.86-1.02) 375 68.0 0.94 (0.82-1.07) 281 48.7 0.90 (0.77-1.05) 205 35.4 0.96 (0.80-1.16)
Q3 681 168.4 0.97 (0.88-1.07) 300 76.5 1.05 (0.91-1.22) 195 47.3 0.87 (0.73-1.05) 154 36.1 0.98 (0.79-1.21)
Q4 474 153.1 0.89 (0.79-0.99) 231 76.7 1.06 (0.90-1.24) 126 38.8 0.72 (0.58-0.89) 96 29.6 0.80 (0.62-1.03)
Q5 199 143.5 0.83 (0.70-0.97) 93 68.0 0.94 (0.73-1.18) 57 38.9 0.72 (0.52-0.97) 41 29.3 0.79 (0.55-1.13)
Hispanic Q1 1,948 96.5 1.00 640 33.4 1.00 567 27.3 1.00 660 31.0 1.00
Q2 1,670 115.6 1.20 (1.12-1.28) 582 42.9 1.28 (1.14-1.45) 463 31.1 1.14 (1.00-1.30) 540 35.2 1.14 (1.01-1.28)
Q3 1,283 122.1 1.27 (1.18-1.36) 452 44.8 1.34 (1.18-1.53) 381 35.4 1.29 (1.13-1.49) 401 36.5 1.18 (1.03-1.34)
Q4 906 134.2 1.39 (1.28-1.51) 338 53.5 1.60 (1.39-1.84) 269 38.2 1.40 (1.20-1.63) 264 37.0 1.19 (1.02-1.39)
Q5 620 148.1 1.54 (1.39-1.69) 245 61.6 1.85 (1.58-2.16) 176 40.9 1.50 (1.25-1.79) 185 41.6 1.34 (1.12-1.59)
Asian/Pacific Q1 689 126.9 1.00 249 36.4 1.00 256 47.2 1.00 219 40.1 1.00
 Islander Q2 1,023 132.2 1.04 (0.94-1.15) 261 38.5 1.06 (0.89-1.28) 352 45.4 0.96 (0.89-1.24) 348 44.5 1.11 (0.93-1.32)
Q3 995 125.2 0.99 (0.89-1.09) 273 37.4 1.03 (0.85-1.24) 329 40.9 0.87 (0.84-1.18) 350 42.4 1.06 (0.89-1.26)
Q4 1,284 135.7 1.07 (0.97-1.18) 348 40.7 1.12 (0.94-1.34) 471 49.1 1.04 (0.89-1.22) 407 41.5 1.03 (0.87-1.23)
Q5 1,308 132.4 1.04 (0.95-1.15) 420 43.8 1.20 (1.01-1.44) 462 46.0 0.98 (0.83-1.15) 405 38.6 0.96 (0.81 -1.14)

n, number of cases; IRR, incidence rate ratio; CI, confidence interval.

a

SES quintile (Q1, lower SES; Q5, higher SES); rates are per 100,000 and age-adjusted to the 2000 U.S. standard population (bold numbers indicate significant associations P < 0.05).

Significantly reduced incidence rates for CRC were associated with higher SES for non-Hispanic Whites (IRRSES Q5 v. Q1 = 0.80; 95% CI: 0.77–0.83) and African Americans (IRRSES Q5 v. Q1 = 0.83; 95% CI: 0.70–0.97; Table 2). SES differentials were strongest among Hispanics, with incidence rates of CRC significantly elevated among those in higher levels of SES in comparison to those in low levels of SES (IRRSES Q5 v. Q1 = 1.54; 95% CI: 1.39-1.69). Among Asians/Pacific Islanders, there was no clear association between SES and overall CRC incidence rates.

When stratifying the race-/ethnicity-specific analyses by cancer subsite, the direction of association for nonHispanic Whites remained consistent (inverse association); however, the IRR was lower when comparing highest to lowest SES level for left-sided (IRRSES Q5 v. Q1 = 0.77; 95% CI: 0.72-0.83) than for right-sided tumors (IRRSES Q5 v. Q1 = 0.91; 95% CI: 0.85-0.97). For rectal cancer, there was also a strong inverse association (IRRSES Q5 v. Q1 = 0.71; 95% CI: 0.65-0.76). For African Americans, the inverse association between SES and CRC incidence was significant for left-sided colon cancer (IRRSESQ5 v. Q1 = 0.72; 95%CI: 0.52-0.97) but not for right-sided colon or rectal cancer. For Hispanics, the positive associations between SES and colon cancer were seen for all subsites, but the effect estimate was stronger for right-sided (IRRSES Q5 v. Q1 = 1.85; 95% CI: 1.58-2.16) than for left-sided cancers (IRRSES Q5 v. Q1 = 1.50; 95% CI: 1.25-1.79) or rectal cancers (IRRSES Q5 v. Q1 = 1.34; 95% CI: 1.12-1.59). For Asians/Pacific Islanders, a positive association was suggested between SES and the incidence rate of right-sided colon cancer, yet no significant association was seen in left-sided colon or rectal tumors.

When comparing incidence rates between left- and right-sided colon cancers within each level of SES (Table 2), incidence rates of right-sided colon cancer were generally higher than the left-sided incidence rates. This pattern was similar across all racial/ethnic groups with the exception of Asians/Pacific Islanders for which incidence rates were higher for left-sided colon tumors than for right-sided tumors. Notably, among non-Hispanic Whites a consistent pattern of an inverse association between SES and CRC incidence was seen across subsite, although for Hispanics a positive association was observed for left-sided, right-sided, and rectal tumors.

In stage-stratified analysis (Table 3), a significant positive association was observed between CRC incidence and SES for localized disease most consistently among Hispanics. For regional/metastasized disease, no overall association between CRC incidence and SES was observed. Inverse patterns of association were observed for non-Hispanic Whites and African Americans, whereas for Hispanics a positive association was found.

Table 3.

CRC incidence rates for localized and regional/metastasized tumors by SES quintile and race/ ethnicity, California 1998–2002a

Localized
Regional/metastasized
n Rate IRR (95% CI) n Rate IRR (95% CI)
All Q1 2,217 41.0 1.00 4,028 74.4 1.00
Q2 3,240 42.8 1.04 (0.99-1.10) 5,829 77.2 1.04 (1.00-1.08)
Q3 3,676 43.1 1.05 (1.00-1.11) 6,170 72.5 0.97 (0.94-1.01)
Q4 4,050 46.4 1.13 (1.07-1.19) 6,638 76.1 1.02 (0.98-1.06)
Q5 4,299 48.1 1.17 (1.11-1.23) 6,482 72.7 0.98 (0.94-1.02)
Non-Hispanic White Q1 1,002 47.5 1.00 1,788 85.4 1.00
Q2 2,123 44.9 0.94 (0.87-1.02) 3,709 78.4 0.92 (0.87-0.97)
Q3 2,705 43.2 0.91 (0.85-0.98) 4,461 71.2 0.83 (0.79-0.88)
Q4 3,141 46.5 0.98 (0.91-1.05) 5,097 75.5 0.88 (0.84-0.93)
Q5 3,514 47.7 1.00 (0.93-1.08) 5,245 71.2 0.83 (0.79-0.88)
African American Q1 359 50.8 1.00 707 101.1 1.00
Q2 275 47.6 0.94 (0.80-1.10) 547 97.0 0.96 (0.86-1.08)
Q3 216 53.2 1.05 (0.88-1.25) 400 97.6 0.96 (0.85-1.10)
Q4 151 46.3 0.91 (0.74-1.11) 280 90.5 0.90 (0.77-1.03)
Q5 66 45.5 0.90 (0.67-1.18) 118 84.5 0.84 (0.67-1.03)
Hispanic Q1 628 30.8 1.00 1,139 55.4 1.00
Q2 533 36.7 1.19 (1.06-1.35) 950 64.3 1.16 (1.06-1.27)
Q3 417 38.9 1.26 (1.11-1.44) 733 69.2 1.25 (1.13-1.38)
Q4 301 44.4 1.44 (1.25-1.67) 519 75.7 1.37 (1.22-1.53)
Q5 234 54.7 1.78 (1.51-2.08) 356 84.9 1.53 (1.35-1.74)
Asian/Pacific Islander Q1 228 42.1 1.00 394 72.4 1.00
Q2 309 39.5 0.94 (0.79-1.12) 623 80.5 1.11 (0.98-1.27)
Q3 338 41.9 1.00 (0.84-1.19) 576 71.6 0.99 (0.87-1.13)
Q4 457 47.3 1.12 (0.95-1.33) 742 78.1 1.08 (0.95-1.22)
Q5 485 47.8 1.14 (0.97-1.34) 763 77.2 1.07 (0.94-1.21)

n, number of cases; IRR, incidence rate ratio; CI, confidence interval.

a

SES quintile (Q1, lower SES; Q5, higher SES); rates are per 100,000 and age-adjusted to the 2000 U.S. standard population (bold numbers indicate significant associations P < 0.05).

SES and CRC mortality

Characteristics of the 14,515 CRC patients who died between 1999 and 2001 are described in Table 4. Approximately 74.0% of the CRC patients were non-Hispanic Whites, 10.8% Hispanics, 8.0% African Americans, and 7.5% Asians/Pacific Islanders. A total of 14% of patients were in the lowest SES category and approximately 21% were in each of the other quintiles.

Table 4.

Characteristics of CRC deaths, California 1999-2001

Total CRC (n = 14,515) n (%) Colon (n = 12,317) n (%) Rectum (n = 2,198) n (%)
Age group
 50-59 years 1,678 (11.6) 1,353 (11.0)    325 (14.8)
 60-69 years 2,764 (19.0) 2,293 (18.6)    471 (21.4)
 70-79 years 4,681 (32.2) 3,961 (32.2)    720 (32.8)
 80+ years 5,392 (37.1) 4,710 (38.2)    682 (31.0)
Male 7,215 (49.7) 6,002 (48.7) 1,213 (55.2)
Female 7,300 (50.3) 6,315 (51.3)    985 (44.8)
Ethnicity
 Non-Hispanic White 10,696 (73.7) 9,083 (73.7) 1,613 (73.4)
 African American   1,166 (8.0) 1,024 (8.3)    142 (6.5)
 Hispanic   1,564 (10.8) 1,312 (10.7)    252 (11.5)
 Asian/Pacific Islander   1,089 (7.5)    898 (7.3)    191 (8.7)
SES
 Q1 (lower) 2,036 (14.0) 1,709 (13.9)    327 (14.9)
 Q2 3,018 (20.8) 2,563 (20.8)    455 (20.7)
 Q3 3,179 (21.9) 2,699 (21.9)    480 (21.8)
 Q4 3,303 (22.8) 2,807 (22.8)    496 (22.6)
 Q5 (higher) 2,979 (20.5) 2,539 (20.6)    440 (20.0)

Mortality rates of CRC varied across race/ethnicity categories with highest rates among African Americans followed by non-Hispanic Whites, Hispanics, and Asians/Pacific Islanders (Table 5). In addition, mortality rates for colon cancer were consistently higher than that of rectal cancer, irrespective of ethnicity. Overall, reduced mortality rates of total CRC were associated with higher levels of SES (MRRSES Q 5 v. Q1 = 0.89;95% CI0.84–0.94; Table 5).This inverse pattern of association was seen for both deaths of colon and rectal cancers. Distinct patterns of associations were seen across the different racial/ethnic groups. For non-Hispanic Whites, mortality rates of CRC decreased significantly with higher levels of SES (MRRSES Q5 v. Q1 = 0.76; 95% CI 0.71-0.82). For African Americans, a similar nonsignificant inverse trend was observed. In contrast, a significant positive association between SES and CRC mortality was seen for Hispanics (MRRSES Q5 v. Q1 = 1.40; 95% 1.14-1.71). For Asians/Pacific Islanders, mortality rates for CRC were not significantly associated with SES. Similar patterns of ethnic-specific associations were observed for both colon and rectal cancers.

Table 5.

Overall CRC and subsite mortality rates by SES quintiles and ethnicity, California 1999-2001a

Total CRC
Colon
Rectum and rectosigmoid junction
n Rate MRR (95% CI) n Rate MRR (95% CI) n Rate MRR (95% CI)
All Q1 2,036 64.5 1.00 1,709 54.3 1.00 327 10.2 1.00
Q2 3,018 66.8 1.03 (0.98-1.09) 2,563 56.7 1.04 (0.98-1.11) 455 10.1 0.98 (0.85-1.14)
Q3 3,179 62.3 0.97 (0.91-1.02) 2,699 52.9 0.97 (0.92-1.03) 480 9.4 0.92 (0.80-1.07)
Q4 3,303 62.6 0.97 (0.92-1.03) 2,807 53.2 0.98 (0.92-1.04) 496 9.4 0.92 (0.80-1.06)
Q5 2,979 57.4 0.89 (0.84-0.94) 2,539 49.0 0.90 (0.85-0.96) 440 8.4 0.82 (0.71-0.95)
Non-Hispanic White Q1 985 76.8 1.00 819 63.5 1.00 166 13.3 1.00
Q2 2,079 70.7 0.92 (0.85-0.99) 1,755 59.4 0.94 (0.86-1.02) 324 11.2 0.84 (0.69-1.02)
Q3 2,433 63.2 0.82 (0.76-0.89) 2,061 53.3 0.84 (0.77-0.91) 372 9.8 0.74 (0.61-0.89)
Q4 2,655 62.8 0.82 (0.76-0.88) 2,270 53.7 0.85 (0.78-0.92) 385 9.2 0.69 (0.57-0.83)
Q5 2,544 58.5 0.76 (0.71-0.82) 2,178 50.1 0.79 (0.73-0.86) 366 8.3 0.63 (0.52-0.76)
African American Q1 420 100.4 1.00 370 88.5 1.00 50 11.8 1.00
Q2 317 98.1 0.98 (0.84-1.13) 274 84.7 0.96 (0.81-1.12) 43 13.4 1.13 (0.73-1.74)
Q3 213 91.7 0.91 (0.77-1.08) 194 82.9 0.94 (0.78-1.12) 19 8.8 0.74 (0.41-1.29)
Q4 153 89.8 0.90 (0.73-1.08) 128 74.9 0.85 (0.68-1.04) 25 14.9 1.26 (0.74-2.10)
Q5 63 80.2 0.80 (0.59-1.06) 58 74.7 0.84 (0.62-1.13) ˆ ˆ ˆ ˆ
Hispanic Q1 490 43.5 1.00 400 36.2 1.00 90 7.3 1.00
Q2 406 50.9 1.17 (1.02-1.34) 356 44.4 1.23 (1.05-1.43) 50 6.5 0.89 (0.60-1.29)
Q3 310 54.3 1.25 (1.07-1.45) 257 45.6 1.26 (1.06-1.49) 53 8.7 1.19 (0.82-1.71)
Q4 224 58.1 1.33 (1.13-1.58) 189 49.5 1.37 (1.13-1.64) 35 8.6 1.18 (0.76-1.78)
Q5 134 60.9 1.40 (1.14-1.71) 110 50.6 1.40 (1.11-1.74) 24 10.3 1.42 (0.85-2.27)
Asian/Pacific Islander Q1 141 44.5 1.00 120 37.8 1.00 21 6.7 1.00
Q2 216 47.4 1.06 (0.85-1.33) 178 39.4 1.04 (0.82-1.33) 38 7.9 1.18 (0.68-2.13)
Q3 223 49.6 1.11 (0.90-1.39) 187 42.0 1.11 (0.87-1.41) 36 7.7 1.14 (0.64-2.07)
Q4 271 53.2 1.20 (0.97-1.48) 220 43.4 1.15 (0.91-1.45) 51 9.8 1.46 (0.86-2.58)
Q5 238 43.7 0.98 (0.79-1.22) 193 35.5 0.94 (0.74-1.20) 45 8.1 1.21 (0.70-2.16)

n, number of cases; MRR, mortality rate ratio; CI, confidence interval.

a

SES quintile (Q1, lower SES; Q5, higher SES); rates are per 100,000 and age-adjusted to the 2000 U.S. standard population (bold numbers indicate significant associations P < 0.05).

ˆ

Statistic not displayed because of fewer than 15 cases.

Discussion

In this large population-based study of CRC patients, there were no overall associations between SES and CRC incidence rates; but rates differed by race/ethnicity and anatomical site. In ethnic-specific analyses, a positive association between CRC incidence rates and SES level was seen only among Hispanics; whereas among non-Hispanic Whites and African Americans inverse associations were observed and no associations were seen for Asians/Pacific Islanders. Mortality rates of overall CRC were lower among patients at higher levels of SES. Yet, this inverse association was restricted to non-Hispanic Whites, whereas a positive association was seen among Hispanics.

Previous studies conducted in the United States and Canada (3) support our findings of lower incidence rates of CRC observed among those at higher levels of SES among non-Hispanic Whites and African Americans. This may be attributed to common CRC risk factors, such as physical inactivity, obesity, or unhealthy diet choices (21), which have been reported to be more prevalent among low SES populations (22, 23). In addition, utilization and access to health care among non-Hispanic Whites and African Americans, in particular, participation in CRC screening programs, may play an important role. With increased opportunity for screening among those at higher levels of SES, early detection and removal of precancerous adenoma polyps may lead to lower disease rates among those of higher SES. Data from the California Health Interview Survey (2001) indicate that 55% of non-Hispanic Whites and 54% of African Americans over 50 years of age received a fecal occult blood test, sigmoidoscopy, or colonoscopy within the past 5 years with higher screening rates seen with increasing household income and education (24, 25). In comparison, lower screening rates for Hispanics and Asians/Pacific Islanders (36% and 43%, respectively) were observed (24, 25). Having health insurance has been associated with higher screening rates (26), and physicians have been found to be less likely to discuss screening with patients of lower education (27). Furthermore, barriers in CRC screening, such as fear of injury, are more frequently reported in low SES subjects than in those of high SES (26). Thus, greater acceptance and utilization of CRC screening among higher SES non-Hispanic Whites and African Americans may contribute to the inverse association between SES and CRC.

Conversely, among Hispanics higher incidence rates of CRC were associated with higher levels of SES. Higher SES Hispanics may be more acculturated and adopt a more “westernized lifestyle” of physical inactivity, obesity, increased red meat consumption, and other health behaviors that serve as CRC risk factors (21). Supporting this hypothesis are subanalyses of a neighborhood ethnic enclave index (composed of language and immigration-related census variables; 28-30), in which we found that Hispanics living in more acculturated neighborhoods had higher incidence rates of CRC than those living in lower acculturation neighborhoods (highest to lowest quintile incidence rate per 100,000: Q5 = 148.7; Q4 = 138.7; Q3 = 131.6; Q2 = 118.3; Q1 = 94.9; data not shown).

For Asians/Pacific Islanders, we did not find clear associations between SES and CRC incidence, which might in part be attributed to the heterogeneous composition of this racial/ethnic group. A recent study on CRC incidence trends based on data from the CCR indicated that despite decreasing trends in CRC incidence for Asians/Pacific Islanders overall, the incidence is actually increasing for some subgroups (31).

In the United States, CRC incidence trends in 1980s and 1990s have shown a decline in rates of left-sided colon cancer whereas right-sided cancer rates remained unchanged (7). Data from 2000 onward show a decline in right-sided tumors although less steep than for left-sided tumors (32). Besides a differing role of genetic and environmental risk factors in left- versus right-sided tumor development, screening procedures might account for the difference in site-specific trends (7, 32) because left-sided colon cancer has been seen to be more likely screen detected than right-sided tumors (33). With higher SES reported to be associated with higher screening rates (14-16), we investigated whether the distribution of tumor subsite varied across SES levels. For left-sided colon cancer, SES was inversely associated with incidence of disease, where-as for right-sided colon cancer a positive association was observed. In ethnic-specific analyses, the inverse association between SES and colon cancer was more pronounced for left-sided than for right-sided tumors among Non-Hispanic Whites and African Americans, pointing to a stronger role of SES in left-sided tumors.

The reduced mortality rates of CRC associated with higher levels of SES is likely attributable to better health care access, informed education on health promoting behaviors, and avoidance of high-risk behaviors (34). Furthermore, greater screening participation seen in higher SES groups (14) allow for the removal of polyps and the detection of early stage disease (35). Racial/ethnic differences in the association between SES and CRC mortality were evident with a significant inverse association seen in non-Hispanic Whites although a significant positive association was observed among Hispanics.

Prior studies have similarly found that U.S. Hispanics have lower mortality rates than non-Hispanic Whites, despite lower income and less education (36-38). Possible explanations for this “Hispanic paradox” (38) has been attributed to healthier Latinos migrating to the United States, the return of Hispanics to their native country to die in one’s birthplace, and/or better social support resulting in improved health outcomes. Studies of cancer survival in Californian Hispanics indicate that a higher percentage of foreign-born Hispanics leave the country for medical care than U.S.-born Hispanics (29, 39). However, this migration effect may be too small to completely account for the Hispanic paradox (40). Additional studies of cancer survival in Hispanics with active follow-up and well-characterized information on place of birth are needed to clarify these observations.

Strengths of our study include the large multiethnic population, representing the diversity of the state of California and the use of census tracts as smallest geographic units, which are more homogeneous with regard to SES than larger geographic units such as counties. The use of area-based measures of SES allow for capturing elements of the socioeconomic environment that might not be attainable by individual-level data (41). Our comprehensive measure of SES included several domains of SES (e.g., education, income, employment) in contrast to using a single SES domain. We recognize that various SES measures may conduct differently across racial/ethnic groups such that within the same level of SES, individuals from different ethnic groups may not share the same level of power, prestige, and opportunities (19).

There are limitations to our study. For some subanalyses, the number of cases for some rates was small, especially among African Americans, leading to unstable associations. Furthermore, our grouping of different Asian populations and Pacific Islanders into one racial/ethnic category may not accurately reflect the associations seen in specific subpopulations. The cross-sectional design of this study and use of area-level neighborhood SES data in the absence of individual-level data limits the consideration of health behaviors and confounders that may further clarify the observed associations. In addition, ecologic fallacy may occur when area-level measures of SES do not accurately reflect individual levels of SES. Finally, we used the 2000 U.S. population counts to calculate population denominators for intercensal years, which may not represent the true population size of the incidence and mortality periods of analysis.

In conclusion, this study shows that the impact of SES on CRC incidence and mortality rates differs across racial/ethnic groups. These associations inform future studies having detailed individual-level data on health behaviors, screening, biologic markers as well as area-level measures of the contextual features of the neighborhood environment to comprehensively disentangle these complex interrelationships.

Supplementary Material

Supl

Acknowledgments

The authors thank Lauren Hu for her technical assistance with this project.

Grant Support

This research was supported by the National Cancer Institute’s Surveillance, Epidemiology and End Results Program under contract HHSN261201000140C awarded to the Cancer Prevention Institute of California. 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 HHSN261201000140C awarded to the Cancer Prevention Institute of California, contract HHSN261201000035C awarded to the University of Southern California, and contract HHSN261201000034C awarded to the Public Health Institute; and the Centers for Disease Control and Prevention’s National Program of Cancer Registries, under agreement #1U58 DP00080701 awarded to the Public Health Institute. The ideas and opinions expressed herein are those of the authors, and endorsement by the State of California, the California Department of Health Services, the National Cancer Institute, or the Centers for Disease Control and Prevention or their contractors and subcontractors is not intended nor should be inferred.

Footnotes

Note: Supplementary data for this article are available at Cancer Epidemiology, Biomarkers & Prevention Online (http://cebp.aacrjournals.org/).

Disclosure of Potential Conflicts of Interest

No potential conflicts of interest were disclosed.

Authors’ Contributions

Conception and design: S.L. Gomez, I. Cheng

Development of methodology: C.A. Clarke, S.L. Gomez

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): C.A. Clarke, D.W. West, S.L. Gomez

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): A. Steinbrecher, K. Fish, C.A. Clarke, D.W. West, S.L. Gomez, I. Cheng

Writing, review, and/or revision of the manuscript: A. Steinbrecher, K. Fish, C.A. Clarke, D.W. West, S.L. Gomez, I. Cheng

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): K. Fish, S.L. Gomez, I. Cheng

Study supervision: S.L. Gomez, I. Cheng

References

  • 1.American Cancer Society. Cancer facts & figures 2010. Atlanta: American Cancer Society; 2010. [Google Scholar]
  • 2.Howlader N, Noone AM, Krapcho M, Neyman N, Aminou R, Waldron W, et al., editors. SEER cancer statistics review, 1975–2008. Bethesda (MD): National Cancer Institute; 2011. [Google Scholar]
  • 3.Aarts MJ, Lemmens VE, Louwman MW, Kunst AE, Coebergh JW. Socioeconomic status and changing inequalities in colorectal cancer? A review of the associations with risk, treatment and outcome. Eur J Cancer. 2010;46:2681–95. doi: 10.1016/j.ejca.2010.04.026. [DOI] [PubMed] [Google Scholar]
  • 4.Krieger N, Quesenberry C, Jr, Peng T, Horn-Ross P, Stewart S, Brown S, et al. Social class, race/ethnicity, and incidence of breast, cervix, colon, lung, and prostate cancer among Asian, Black, Hispanic, and White residents of the San Francisco Bay Area, 1988-92 (United States) Cancer Causes Control. 1999;10:525–37. doi: 10.1023/a:1008950210967. [DOI] [PubMed] [Google Scholar]
  • 5.Yin D, Morris C, Allen M, Cress R, Bates J, Liu L. Does socioeconomic disparity in cancer incidence vary across racial/ethnic groups? Cancer Causes Control. 2010;21:1721–30. doi: 10.1007/s10552-010-9601-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kee F, Wilson RH, Gilliland R, Sloan JM, Rowlands BJ, Moorehead RJ. Changing site distribution of colorectal cancer. BMJ. 1992;305:158. doi: 10.1136/bmj.305.6846.158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rabeneck L, Davila JA, El-Serag HB. Is there a true “shift” to the right colon in the incidence of colorectal cancer? Am J Gastroenterol. 2003;98:1400–9. doi: 10.1111/j.1572-0241.2003.07453.x. [DOI] [PubMed] [Google Scholar]
  • 8.Cucino C, Buchner AM, Sonnenberg A. Continued rightward shift of colorectal cancer. Dis Colon Rectum. 2002;45:1035–40. doi: 10.1007/s10350-004-6356-0. [DOI] [PubMed] [Google Scholar]
  • 9.Iacopetta B. Are there two sides to colorectal cancer? Int J Cancer. 2002;101:403–8. doi: 10.1002/ijc.10635. [DOI] [PubMed] [Google Scholar]
  • 10.Distler P, Holt PR. Are right- and left-sided colon neoplasms distinct tumors? Dig Dis. 1997;15:302–11. doi: 10.1159/000171605. [DOI] [PubMed] [Google Scholar]
  • 11.Glebov OK, Rodriguez LM, Nakahara K, Jenkins J, Cliatt J, Humbyrd CJ, et al. Distinguishing right from left colon by the pattern of gene expression. Cancer Epidemiol Biomarkers Prev. 2003;12:755–62. [PubMed] [Google Scholar]
  • 12.Birkenkamp-Demtroder K, Olesen SH, Sorensen FB, Laurberg S, Laiho P, Aaltonen LA, et al. Differential gene expression in colon cancer of the caecum versus the sigmoid and rectosigmoid. Gut. 2005;54:374–84. doi: 10.1136/gut.2003.036848. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Gervaz P, Bucher P, Morel P. Two colons-two cancers: paradigm shift and clinical implications. J Surg Oncol. 2004;88:261–6. doi: 10.1002/jso.20156. [DOI] [PubMed] [Google Scholar]
  • 14.Swan J, Breen N, Graubard BI, McNeel TS, Blackman D, Tangka FK, et al. Data and trends in cancer screening in the United States: results from the 2005 National Health Interview Survey. Cancer. 2010;116:4872–81. doi: 10.1002/cncr.25215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Adams-Campbell LL, Makambi K, Mouton CP, Palmer JR, Rosenberg L. Colonoscopy utilization in the Black Women’s Health Study. J Natl Med Assoc. 2010;102:237–42. doi: 10.1016/s0027-9684(15)30530-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Subramanian S, Amonkar MM, Hunt TL. Use of colonoscopy for colorectal cancer screening: evidence from the 2000 National Health Interview Survey. Cancer Epidemiol Biomarkers Prev. 2005;14:409–16. doi: 10.1158/1055-9965.EPI-03-0493. [DOI] [PubMed] [Google Scholar]
  • 17.Krieger N, Williams DR, Moss NE. Measuring social class in U.S. public health research: concepts, methodologies, and guidelines. Ann Rev Public Health. 1997;18:341–78. doi: 10.1146/annurev.publhealth.18.1.341. [DOI] [PubMed] [Google Scholar]
  • 18.Liu L, Deapen D, Bernstein L. Socioeconomic status and cancer of female breast and reproductive organs: a comparison across racial/ethnic populations in Los Angeles County, California (United States) Cancer Causes Control. 1988;9:369–80. doi: 10.1023/a:1008811432436. [DOI] [PubMed] [Google Scholar]
  • 19.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;12:703–11. doi: 10.1023/a:1011240019516. [DOI] [PubMed] [Google Scholar]
  • 20.Gomez SL, Glaser SL, McClure LA, Shema SJ, Kealey M, Keegan TH, et al. The California Neighborhoods Data System: a new resource for examining the impact of neighborhood characteristics on cancer incidence and outcomes in populations. Cancer Causes Control. 2011;22:631–47. doi: 10.1007/s10552-011-9736-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.World Cancer Research Fund/American Institute for Cancer Research. Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. Washington DC: AICR; 2007. [Google Scholar]
  • 22.James WP, Nelson M, Ralph A, Leather S. Socioeconomic determinants of health. The contribution of nutrition to inequalities in health. BMJ. 1997;314:1545–9. doi: 10.1136/bmj.314.7093.1545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Pampel FC, Krueger PM, Denney JT. Socioeconomic disparities in health behaviors. Annu Rev Sociol. 2010;36:349–70. doi: 10.1146/annurev.soc.012809.102529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.CHIS. 2001 Adult Public Use File, Release 4. Los Angeles (CA): UCLA Center for Health Policy Research; 2005. [Google Scholar]
  • 25.Babey SH, Ponce NA, Etzioni DA, Spencer BA, Brown ER, Chawla N. Cancer screening in California: racial and ethnic disparities persist. Policy Brief UCLA Cent Health Policy Res. 2003:1–6. [PubMed] [Google Scholar]
  • 26.James AS, Hall S, Greiner KA, Buckles D, Born WK, Ahluwalia JS. The impact of socioeconomic status on perceived barriers to colorectal cancer testing. Am J Health Promot. 2008;23:97–100. doi: 10.4278/ajhp.07041938. [DOI] [PubMed] [Google Scholar]
  • 27.Bao Y, Fox SA, Escarce JJ. Socioeconomic and racial/ethnic differences in the discussion of cancer screening: “between-” versus “within-” physician differences. Health Serv Res. 2007;42:950–70. doi: 10.1111/j.1475-6773.2006.00638.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Clarke CA, Glaser SL, Gomez SL, Wang SS, Keegan TH, Yang J, et al. Lymphoid malignancies in U.S. Asians: incidence rate differences by birthplace and acculturation. Cancer Epidemiol Biomarkers Prev. 2011;20:1064–77. doi: 10.1158/1055-9965.EPI-11-0038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Keegan TH, Quach T, Shema S, Glaser SL, Gomez SL. The influence of nativity and neighborhoods on breast cancer stage at diagnosis and survival among California Hispanic women. BMC Cancer. 2010;10:603. doi: 10.1186/1471-2407-10-603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.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;19:1208–18. doi: 10.1158/1055-9965.EPI-10-0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Giddings BH, Kwong SL, Parikh-Patel A, Bates JH, Snipes KP. Going against the tide: increasing incidence of colorectal cancer among Koreans, Filipinos, and South Asians in California, 1988-2007. Cancer Causes Control. 2012;23:691–702. doi: 10.1007/s10552-012-9937-6. [DOI] [PubMed] [Google Scholar]
  • 32.Siegel RL, Ward EM, Jemal A. Trends in colorectal cancer incidence rates in the United States by tumor location and stage, 1992-2008. Cancer Epidemiol Biomarkers Prev. 2012;21:411–6. doi: 10.1158/1055-9965.EPI-11-1020. [DOI] [PubMed] [Google Scholar]
  • 33.Cheng X, Chen VW, Steele B, Ruiz B, Fulton J, Liu L, et al. Subsite-specific incidence rate and stage of disease in colorectal cancer by race, gender, and age group in the United States, 1992-1997. Cancer. 2001;92:2547–54. doi: 10.1002/1097-0142(20011115)92:10<2547::aid-cncr1606>3.0.co;2-k. [DOI] [PubMed] [Google Scholar]
  • 34.Howard G, Anderson RT, Russell G, Howard VJ, Burke GL. Race, socioeconomic status, and cause-specific mortality. Ann Epidemiol. 2000;10:214–23. doi: 10.1016/s1047-2797(00)00038-7. [DOI] [PubMed] [Google Scholar]
  • 35.Winawer SJ, Zauber AG, Ho MN, O’Brien MJ, Gottlieb LS, Sternberg SS, et al. Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup. N Engl J Med. 1993;329:1977–81. doi: 10.1056/NEJM199312303292701. [DOI] [PubMed] [Google Scholar]
  • 36.Elo IT, Turra CM, Kestenbaum B, Ferguson BR. Mortality among elderly Hispanics in the United States: past evidence and new results. Demography. 2004;41:109–28. doi: 10.1353/dem.2004.0001. [DOI] [PubMed] [Google Scholar]
  • 37.Markides KS, Eschbach K. Aging, migration, and mortality: current status of research on the Hispanic paradox. J Gerontol B Psychol Sci Soc Sci. 2005;60(2):68–75. doi: 10.1093/geronb/60.special_issue_2.s68. [DOI] [PubMed] [Google Scholar]
  • 38.Markides KS, Coreil J. The health of Hispanics in the southwestern United States: an epidemiologic paradox. Public Health Rep. 1986;101:253–65. [PMC free article] [PubMed] [Google Scholar]
  • 39.Chang ET, Yang J, Alfaro-Velcamp T, So SK, Glaser SL, Gomez SL. Disparities in liver cancer incidence by nativity, acculturation, and socioeconomic status in California Hispanics and Asians. Cancer Epidemiol Biomarkers Prev. 2010;19:3106–18. doi: 10.1158/1055-9965.EPI-10-0863. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Turra CM, Elo IT. The impact of salmon bias on the hispanic mortality advantage: new evidence from social security data. Popul Res Policy Rev. 2008;27:515–30. doi: 10.1007/s11113-008-9087-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Diez-Roux AV, Kiefe CI, Jacobs DR, Jr, Haan M, Jackson SA, Nieto FJ, et al. Area characteristics and individual-level socioeconomic position indicators in three population-based epidemiologic studies. Ann Epidemiol. 2001;11:395–405. doi: 10.1016/s1047-2797(01)00221-6. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supl

RESOURCES