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Keywords:

  • colorectal cancer;
  • epidemiology;
  • incidence;
  • Indians of North America;
  • health disparities;
  • screening;
  • colonic subsite;
  • cancer stage

Abstract

  1. Top of page
  2. Abstract
  3. MATERIALS AND METHODS
  4. RESULTS
  5. DISCUSSION
  6. REFERENCES

BACKGROUND.

Colorectal cancer (CRC) is a leading cause of cancer morbidity and mortality for American Indians and Alaska Natives (AI/ANs), but misclassification of race causes underestimates of disease burden.

METHODS.

The authors compared regional differences in CRC incidence, stage at diagnosis, and anatomic distribution between AI/ANs and non-Hispanic whites (NHWs). To reduce misclassification, data from the National Program of Cancer Registries; the Surveillance, Epidemiology, and End Results Program; and the Indian Health Service (IHS) were linked. The analysis was limited to the 56% of AI/AN who live in IHS Contract Health Service Delivery Areas.

RESULTS.

From 1999 to 2004, the overall incidence rate (per 100,000 persons per year) of CRC was 9% lower in the AI/AN population (46.3) than in the NHW population (50.8). However, AI/AN CRC incidence rates varied nearly 5-fold regionally, from 21 in the Southwest to 102.6 in Alaska. Compared with NHW rates, AI/AN rates were significantly higher in Alaska (rate ratio [RR], 2.03), the Northern Plains (RR, 1.39), and the Southern Plains (RR, 1.16) but were lower in the Pacific Coast (RR, 0.80), the East (RR, 0.65), and the Southwest (RR, 0.45). AI/ANs were diagnosed more often with advanced CRC than with localized CRC (RR, 1.92) compared with NHWs (RR, 1.48). Females more often had proximal CRC among both the AI/AN population (females, 40.1%; males, 33.5%) and the NHW population (females, 50.1%; males, 40.3%), although AI/ANs had a higher proportion of distal cancers overall.

CONCLUSIONS.

CRC incidence rates in AI/AN populations varied dramatically between regions. Efforts are needed to make CRC screening a priority, overcome barriers to endoscopic screening, and to engage AI/AN communities in culturally appropriate ways to participate in prevention and early detection programs. Cancer 2008;113(5 suppl):1179–90. Published 2008 by the American Cancer Society.

Colorectal cancer (CRC) is a leading cause of cancer morbidity and mortality for American Indian and Alaska Native (AI/AN) males and females.1–3 Although CRC mortality rates fell for most US populations from 1995 to 2004, there was no significant change in AI/AN rates.2 It has been demonstrated that CRC mortality varies significantly between AI/AN populations living in different regions of the US, with a >3-fold difference between the Southwest and Alaska.1 AI/AN males and females, as a group, reportedly have CRC incidence rates that are lower than the US average; however, summary measures may miss important rate heterogeneity between AI/AN populations.4

Accurate determination of cancer burden is a critical first step for addressing health disparities. Race misclassification in medical records and on death certificates makes determining cancer rates for AI/AN populations difficult.5, 6 Forthcoming data from the National Longitudinal Mortality Survey correlating self-identified race from Current Population Surveys with information on death certificates indicate that AI/ANs are classified as another race 44.8% of the time.7 Such misclassification results in underestimates of both cancer incidence and mortality.8–11

The objective of the current analysis was to compare regional CRC incidence rates by age, stage at diagnosis, and the colonic location of CRC tumors between AI/AN and non-Hispanic white (NHW) populations living in the same counties. This study is part of a larger effort linking the Centers for Disease Control and Prevention (CDC) National Program of Cancer Registries (NPCR) database; the National Cancer Institute (NCI) Surveillance, Epidemiology, and End Result (SEER) database; and the Indian Health Service (IHS) database to minimize the effects of race misclassification on estimates of cancer incidence.

MATERIALS AND METHODS

  1. Top of page
  2. Abstract
  3. MATERIALS AND METHODS
  4. RESULTS
  5. DISCUSSION
  6. REFERENCES

Data Sources

A more comprehensive description of the analytical methods used for this and other articles in this supplement of Cancer is published separately.12 We analyzed population-based cancer incidence data from the NPCR and from the SEER Program.13, 14 If data from central cancer registries that provided permission for their use met quality criteria, then they were included in the analysis (see footnote to Table 1 for a list of registries). Population estimates from the US Bureau of the Census, modified by the CDC and the NCI, were used as denominators in the rate calculations.15, 16 We included incident cases of invasive CRC as detailed elsewhere.17 Data on disease stage spanned changes in SEER Summary Stage coding. Stage was coded according to the SEER Summary Stage 1977 rules for diagnosis years 1999 through 2000 and SEER Summary Stage 2000 rules for diagnosis years 2001 through 2003; collaborative stage data, which were reported first for 2004, were not available for analysis. CRC stage data for 1999 through 2003 were combined for this analysis, because the differences observed in comparative studies of the 2 systems were minimal.18, 19 Tumor histology was categorized as proposed by Berg20 and modified by Stewart et al.21

Table 1. Colorectal Cancer Incidence by Sex and Indian Health Service Region for American Indians/Alaska Natives and Non-Hispanic Whites: US, 1999-2004a
IHS RegionSexCHSDA CountiesAll Counties
AI/AN CountAI/AN Rateb95% CI for AI/AN RateNHW RatebRR (AI/AN:NHW)95% CI for RRAI/AN CountAI/AN Rateb95% CI for AI/AN RateNHW RatebRR (AI/AN:NHW)95% CI for RR
  • Source: Cancer registries in the Centers for Disease Control and Prevention's National Program of Cancer Registries (NPCR) and/or the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program.

  • CHSDA indicates Contract Health Service Delivery Area; IHS, Indian Health Service; AI/AN, American Indians/Alaska Natives; 95% CI, 95% confidence interval; NHW, non-Hispanic whites; RR, rate ratio.

  • a

    AI/AN race is reported by NPCR and/or SEER registries or through linkage with the IHS patient registration database. AI/AN persons of Hispanic origin are included.

  • b

    Rates are per 100,000 persons and are age-adjusted to the 2000 US standard population (19 age groups; Census P25-1130).

  • c

    The RR is statistically significant (P < .05).

  • d

    Rates and RRs for Alaska in the CHSDA Counties section are the same as those in the All Counties section, because all counties in Alaska are CHSDA counties.

  • Years of data and registries used: 1999-2004 (41 states and the District of Columbia): Alaska,* Alabama,* Arkansas, Arizona,* California,* Colorado,* Connecticut,* the District of Columbia, Delaware, Florida,* Georgia, Hawaii, Iowa,* Idaho,* Illinois, Indiana,* Kentucky, Louisiana,* Massachusetts,* Maine,* Michigan,* Minnesota,* Missouri, Montana,* North Carolina,* Nebraska,* New Hampshire, New Jersey, New Mexico,* Nevada,* New York,* Ohio, Oklahoma,* Oregon,* Pennsylvania,* Rhode Island,* Texas,* Utah,* Washington,* Wisconsin,* West Virginia, and Wyoming*; 1999 and 2002-2004: North Dakota*; 2001-2004: South Dakota*; 2003-2004: Mississippi* and Virginia; 2004: Tennessee (asterisks indicate states with at least 1 county designated as a CHSDA).

  • Percent regional coverage of AI/AN in CHSDA counties to AI/AN in all counties: Alaska, 100%; East, 13.1%; Northern Plains, 59%; Southern Plains, 64.1%; Pacific Coast, 55.6%; Southwest, 87.5%.

Northern PlainsBoth sexes51372.565.9-79.552.31.39c1.26-1.5266054.950.4-59.654.71.000.92-1.09
 Males28188.977.5-101.361.31.45c1.26-1.6635566.959.0-75.365.01.030.91-1.16
 Females23259.852.0-68.445.11.33c1.15-1.5230546.140.7-51.846.70.990.87-1.11
AlaskadBoth sexes370102.691.9-114.250.62.03c1.78-2.31370102.691.9-114.250.62.03c1.78-2.31
 Males16398.582.6-116.461.41.60c1.31-1.9516398.582.6-116.461.41.60c1.31-1.95
 Females207106.291.8-122.140.62.62c2.18-3.14207106.291.8-122.140.62.62c2.18-3.14
Southern PlainsBoth sexes77260.255.9-64.751.81.16c1.08-1.2586149.145.8-52.750.10.980.91-1.05
 Males37870.362.9-78.263.21.110.99-1.2442156.250.5-62.360.70.930.83-1.03
 Females39453.848.5-59.443.21.25c1.12-1.3844044.540.3-48.941.91.060.96-1.17
Pacific CoastBoth sexes46438.735.0-42.748.50.80c0.72-0.8857426.424.2-28.849.00.54c0.49-0.59
 Males23144.037.8-50.756.50.78c0.67-0.9029130.126.4-34.257.20.53c0.46-0.60
 Females23335.030.4-40.042.10.83c0.72-0.9528323.720.9-26.842.40.56c0.49-0.63
EastBoth sexes11236.029.4-43.655.20.65c0.53-0.7943219.117.2-21.155.10.35c0.31-0.38
 Males4431.121.9-42.565.80.47c0.33-0.6521821.918.7-25.365.40.33c0.29-0.39
 Females6839.730.6-50.447.10.840.65-1.0721417.114.8-19.747.10.36c0.31-0.42
SouthwestBoth sexes39021.018.9-23.346.80.45c0.40-0.5041920.018.0-22.145.90.44c0.39-0.48
 Males21125.722.1-29.755.10.47c0.40-0.5422424.020.8-27.753.90.45c0.39-0.51
 Females17917.314.8-20.139.70.44c0.37-0.5119516.914.5-19.539.30.43c0.37-0.50
TotalBoth sexes262146.344.4-48.250.80.91c0.87-0.95331633.932.6-35.153.20.64c0.61-0.66
 Males130852.649.5-55.859.80.88c0.83-0.93167238.736.7-40.863.10.61c0.58-0.65
 Females131341.639.3-44.043.60.950.90-1.01164430.328.8-31.945.60.66c0.63-0.70

To reduce the misclassification of AI/AN cases as other races, all cancer case records from NPCR and SEER registries were linked with IHS patient registration databases using a probabilistic linkage software developed by the CDC.14 The IHS database identifies all individuals who have ever accessed IHS services. In addition, we focused on those AI/AN and NHW populations that were living in counties where individuals were eligible for IHS contract care services, called Contract Health Service Delivery Areas (CHSDAs).

The 6 IHS regions used in this analysis (Alaska, Pacific Coast, Northern Plains, Southern Plains, Southwest, and East) and their constituent CHSDA counties are shown in Figure 1. CHSDA counties, in general, contain federally recognized tribal lands or are adjacent to tribal lands. AI/AN males and females must live within CHSDA boundaries and be members of a federally recognized tribe to be eligible for health services that are not available at IHS or tribal health facilities. The proportions of the population that are AI/AN relative to the total population are higher in CHSDA counties than in non-CHSDA counties, and there is inherently less misclassification of race in medical and death records.7 Overall, 56% of AI/ANs live in CHSDA counties; however, this varies by region (Alaska, 100%; East, 13.1%; Northern Plains, 59%; Southern Plains, 64.1%; Pacific Coast, 55.6%; and Southwest, 87.5%).

thumbnail image

Figure 1. States and Contract Health Service Delivery Areas (CHSDA) counties by Indian Health Service region.

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Statistical Analyses

Two sets of statistics are provided for AI/AN and NHW cancer cases: 1) data from all counties in the respective regions (referred to as ‘All Counties’), and 2) data from all counties designated as CHSDA (referred to as ‘CHSDA counties’). The results described below refer to individuals who reside in CHSDA counties unless otherwise noted.

The age groups for analysis (<40 years, 40-49 years, 50-64 years, and ≥65 years) were selected with consideration of recommendations that average-risk individuals begin CRC screening at age 50 years and that screening colonoscopy coverage by Medicare, which is available to most US citizens, begin at age 65 years.22, 23 Anatomic subsites of incident cancers was divided into proximal (from the cecum to the splenic flexure) and distal colon and rectum based on International Classification of Diseases for Oncology, Ninth Revision codes. Proximal includes the cecum (C18.0), ascending colon (C18.2), hepatic flexure (C 18.3), transverse colon (C18.4), and splenic flexure (18.5); distal includes the descending colon (C18.6) and sigmoid colon (C18.7); and rectum includes the rectosigmoid junction (C19.9) and rectum (C20.9). This convention was chosen because flexible sigmoidoscopy is capable of observing the distal 60 cm of the colon to approximately the splenic flexure.

For all AI/AN and NHW populations, cancer incidence rates were expressed per 100,000 persons per year and were age-adjusted by 19 age groups (<1 year, 1-4 years, 5-9 years, …, 80-84 years, ≥85 years) to the 2000 US standard population using the direct method.13 Percent distributions for histology, stage, and anatomic subsite also were age-adjusted to the 2000 population. Ninety-five percent confidence intervals (CIs) for age-adjusted rates were calculated using the modification of Tiwari et al.24 Rate ratios (RRs) were calculated as the age-adjusted incidence rate for the AI/AN population of interest divided by the age-adjusted incidence rate for the same-area NHW population. The cancer incidence data were analyzed using SEER*Stat software, version 6.3.6.25

RESULTS

  1. Top of page
  2. Abstract
  3. MATERIALS AND METHODS
  4. RESULTS
  5. DISCUSSION
  6. REFERENCES

Over the 6-year study period (1999 to 2004), there were 3316 cases of invasive CRC diagnosed in the All-Counties AI/AN population and 681,801 cases diagnosed in the NHW population. Of these, 95.3% of AI/AN cases and 96.5% of NHW cases were confirmed microscopically. Microscopically confirmed cancers among AI/AN cases were 94.7% adenocarcinomas, 3% other specified carcinomas, 0.9% carcinomas not otherwise specified (NOS), 0.3% epidermoid carcinomas, and 1.1% other histologic types. The corresponding percentages among NHW cases were 95.7%, 2%, 1.2%, 0.4%, and 0.7%, respectively. Signet ring cell carcinomas accounted for 0.9% of microscopically confirmed CRC cases among AI/ANs and 1.1% among NHWs.

Among AI/ANs with CRC, 79% (2621 individuals) were residents of CHSDA counties compared with 21% (143,160) of NHWs (Table 1). The age-adjusted CRC incidence rate among AI/ANs was 46.3 in CHSDA counties and 33.9 in All Counties. CHSDA AI/ANs had a 9% lower overall incidence rate of CRC compared with the rate among CHSDA NHWs (RR, 0.91; 95% CI, 0.87-0.95). In contrast, the All-County AI/AN incidence rate was 36% lower than the All County NHW incidence rate. The remaining results presented below are limited to residents of CHSDA counties, because All-County data are likely underestimates because of misclassification of race not corrected by our IHS linkage strategy.

Regional CHSDA incidence rates were significantly higher in AI/ANs than NHWs in Alaska, the Northern Plains, and the Southern Plains, whereas the rates were significantly lower in the Pacific Coast, East, and Southwest (Table 1). There was a nearly 5-fold regional variation in incidence among AI/AN populations (from 21.0 in the Southwest to 102.6 in Alaska) compared with modest geographic variation among NHW populations (from 46.8 in the Southwest to 55.2 in the East). The pattern of regional variation in incidence was apparent for both AI/AN males and females. CRC incidence rates were consistently higher among males with the exception of Alaska and the East region. In Alaska, the AI/AN female incidence rate of 106.2 was 2.6 times higher than that of NHW Alaskan females and the highest of any group in the analysis.

Stratifying by age (Tables 2 and 3) and among those living in CHSDA counties, AI/AN populations had comparable or slightly higher rates of CRC than NHW populations (<40 years: RR, 1.25; 40-49 years: RR, 1.05; 50-64 years: RR, 1.05). One exception was that the overall CRC rate was significantly lower in AI/ANs aged ≥65 years (RR, 0.84). Important regional differences also were observed within and between age strata: 9.5% of CRC cases occurred among AI/AN males and females aged <50 years (the age for initiating CRC screening among average-risk individuals) compared with 7.9% of CRC cases among NHW individuals. Dramatically higher rates of CRC were observed among AI/AN populations ages 40 to 49 years in Alaska (RR, 3.28) and the Northern Plains (RR, 1.83). Although AI/ANs aged <50 years from the Southwest had lower CRC rates relative to most other regions, they accounted for 15% of Southwest AI/AN cases. Similarly, AI/ANs aged <40 years in the Southern Plains accounted for 3.7% of cases and had a significantly higher incidence of CRC than NHWs of similar age (RR, 1.66).

Table 2. Colorectal Cancer Invasive Incidence Rates and Percent Distribution by Age and Indian Health Service Region for American Indians/Alaska Natives and Non-Hispanic Whites in Contract Health Service Delivery Area Counties: US, 1999-2004
IHS Region<40 Years40-49 Years50-64 Years≥65 Years
Count% of CasesaRateb95% CICount% of CasesaRateb95% CICount% of CasesaRateb95% CICount% of CasesaRateb95% CI
  • Source: Cancer registries in the Centers for Disease Control and Prevention's National Program of Cancer Registries and/or the National Cancer Institute's Surveillance, Epidemiology, and End Results Program.

  • IHS indicates Indian Health Service; 95% CI, 95% confidence interval; AI/AN, American Indians/Alaska Natives; NHW, non-Hispanic whites.

  • a

    Percents may not add to 100% due to rounding.

  • b

    Rates are per 100,000 persons and are age-adjusted to the 2000 US standard population (19 age groups; Census P25-1130).

  • c

    The AI/AN rate is statistically significantly higher than the NHW rate (P < .05).

  • d

    The AI/AN rate is statistically significantly lower than the NHW rate (P < .05).

  • Years of data and registries used: 1999-2004 (41 states and the District of Columbia): Alaska,* Alabama,* Arkansas, Arizona,* California,* Colorado,* Connecticut,* the District of Columbia, Delaware, Florida,* Georgia, Hawaii, Iowa,* Idaho,* Illinois, Indiana,* Kentucky, Louisiana,* Massachusetts,* Maine,* Michigan,* Minnesota,* Missouri, Montana,* North Carolina,* Nebraska,* New Hampshire, New Jersey, New Mexico,* Nevada,* New York,* Ohio, Oklahoma,* Oregon,* Pennsylvania,* Rhode Island,* Texas,* Utah,* Washington,* Wisconsin,* West Virginia, and Wyoming*; 1999 and 2002-2004: North Dakota*; 2001-2004: South Dakota*; 2003-2004: Mississippi* and Virginia; 2004: Tennessee (asterisks indicate states with at least 1 county designated as a Contract Health Service Delivery Area).

AI/AN                
 Northern Plains192.02.51.5-3.9617.133.5c25.7-43.117524.5118.3c101.4-137.225866.4380.7c334.3-431.7
 Alaska81.32.31.0-4.5406.946.1c32.9-62.812826.9183.8c153.2-218.519464.9527.2c453.6-609.5
 Southern Plains403.73.92.8-5.3616.124.018.3-30.824125.1100.7c88.3-114.243065.1309.9281.1-340.9
 Pacific Coast161.81.20.7-2.0425.112.99.3-17.516123.560.851.7-70.924569.5212.9d186.4-242.0
 East42.21.40.4-3.4116.314.77.4-26.43321.451.5d35.4-72.46470.1199.7d153.3-255.8
 Southwest386.02.21.6-3.0489.012.2d9.0-16.215032.745.7d38.7-53.715452.386.9d73.5-102.0
Total1252.82.31.9-2.72636.720.017.7-22.688825.879.674.5-85.1134564.7236.8d224.1-250.0
NHW                
 Northern Plains4252.01.81.6-2.013615.418.317.4-19.3586321.876.174.1-78.119,50870.8292.8288.7-296.9
 Alaska362.72.31.6-3.2734.314.011.0-17.727618.963.856.4-71.948374.2296.9270.4-325.2
 Southern Plains1972.62.32.0-2.75616.421.519.8-23.4245223.681.478.2-84.7720167.5276.5270.1-282.9
 Pacific Coast7182.01.71.5-1.824775.718.117.4-18.810,31922.171.470.0-72.832,81670.2269.9267.0-272.8
 East5872.22.11.9-2.318636.021.520.5-22.5816723.185.283.4-87.127,40468.7300.1296.5-303.7
 Southwest2892.01.61.4-1.89705.817.716.6-18.9467422.770.868.8-72.914,44069.5257.2253.0-261.5
Total22522.11.81.8-1.973055.819.018.6-19.531,75122.476.075.1-76.8101,85269.8280.3278.6-282.0
Table 3. Colorectal Cancer Invasive Incidence Rates and Rate Ratios by Age and Indian Health Service Region for American Indians/Alaska Natives and Non-Hispanic Whites in Contract Health Service Delivery Area Counties: US, 1999-2004
IHS Region<40 Years40-49 Years50-64 Years≥65 Years
AI/AN RateaNHW RateaRR95% CIAI/AN RateaNHW RateaRR95% CIAI/AN RateaNHW RateaRR95% CIAI/AN RateaNHW RateaRR95% CI
  • Source: Cancer registries in the Centers for Disease Control and Prevention's National Program of Cancer Registries and/or the National Cancer Institute's Surveillance, Epidemiology, and End Results Program.

  • IHS indicates Indian Health Service; AI/AN, American Indians/Alaska Natives; NHW, non-Hispanic whites; RR, rate ratio; 95% CI, 95% confidence interval.

  • a

    Rates are per 100,000 persons and are age-adjusted to the 2000 US standard population (19 age groups; Census P25-1130).

  • b

    The RR is statistically significant (P < .05).

  • Years of data and registries used: 1999-2004 (41 states and the District of Columbia): Alaska,* Alabama,* Arkansas, Arizona,* California,* Colorado,* Connecticut,* the District of Columbia, Delaware, Florida,* Georgia, Hawaii, Iowa,* Idaho,* Illinois, Indiana,* Kentucky, Louisiana,* Massachusetts,* Maine,* Michigan,* Minnesota,* Missouri, Montana,* North Carolina,* Nebraska,* New Hampshire, New Jersey, New Mexico,* Nevada,* New York,* Ohio, Oklahoma,* Oregon,* Pennsylvania,* Rhode Island,* Texas,* Utah,* Washington,* Wisconsin,* West Virginia, and Wyoming*; 1999 and 2002-2004: North Dakota*; 2001-2004: South Dakota*; 2003-2004: Mississippi* and Virginia; 2004: Tennessee (asterisks indicate states with at least 1 county designated as a Contract Health Service Delivery Area).

Northern Plains2.51.81.420.84-2.2233.518.31.83b1.39-2.37118.376.11.55b1.33-1.81380.7292.81.30b1.14-1.48
Alaska2.32.31.000.40-2.1346.114.03.28b2.17-4.89183.863.82.88b2.31-3.57527.2296.91.78b1.49-2.11
Southern Plains3.92.31.66b1.15-2.3424.021.51.110.84-1.45100.781.41.24b1.08-1.41309.9276.51.12b1.01-1.24
Pacific Coast1.21.70.730.42-1.2012.918.10.72b0.52-0.9760.871.40.85b0.72-1.00212.9269.90.79b0.69-0.90
East1.42.10.650.18-1.6314.721.50.690.34-1.2351.585.20.60b0.42-0.85199.7300.10.67b0.51-0.85
Southwest2.21.61.390.96-1.9412.217.70.69b0.50-0.9245.770.80.65b0.55-0.7686.9257.20.34b0.29-0.40
Total2.31.81.25b1.04-1.5020.019.01.050.93-1.1979.676.01.050.98-1.12236.8280.30.84b0.80-0.89

In CHSDA counties, the overall rate of CRC among AI/ANs ages 50 to 64 years was not significantly different from that among NHWs (RR, 1.05), although the RR ranged from 2.88 in Alaska to 0.60 in the East. The cohort aged ≥65 years accounted for 64.7% of CRC cases that occurred in the AI/AN population and 69.8% of CRC cases that occurred in the NHW population. Nationally, AI/ANs in this age group had a lower rate of CRC (RR, 0.84;), although the RR varied from 0.34 in the Southwest to 1.78 in Alaska.

Data on disease stage at diagnosis were available for the years 1999 through 2003. Eight percent were unstaged among AI/ANs and 9.4% were unstaged among NHWs. Among staged cancers, 66.5% of AI/ANs were diagnosed at late-stage disease compared with 59.6% of NHWs: AI/AN males and females were more likely to have late-stage disease at diagnosis in each region (Table 4). Overall, the RR for late-stage versus early-stage CRC at diagnosis was 1.92 for AI/ANs and 1.48 for NHWs. AI/AN males and females from Alaska were the least likely to have late-stage CRC at diagnosis, whereas Eastern males and Northern and Southern Plains females were the most likely.

Table 4. Invasive Colorectal Cancer Incidence Counts, Rates, and Rate Ratios by Stage, Indian Health Service Region, and Sex for American Indians Alaska Natives and Non-Hispanic Whites in Contract Health Service Delivery Area Counties: US, 1999-2003
IHS RegionSexAmerican Indians/Alaska NativesNon-Hispanic White
Early StageaLate StageaLate/Early StageaEarly StageaLate StageaLate/Early Stagea
CountRatebCountRatebRRc95% CI for RRCountRatebCountRatebRRc95% CI for RR
  • Source: Cancer registries in the Centers for Disease Control and Prevention's National Program of Cancer Registries and/or the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program.

  • IHS indicates Indian Health Service; RR, rate ratio; 95% CI, 95% confidence interval.

  • a

    For 1999-2000, SEER Summary Stage 1977 was used; for 2001-2003, SEER Summary Stage 2000 was used. Data for the 2 staging systems are combined because the differences observed in comparative analyses were minimal (see Howe 200518 and Phillips 200319). Early stage includes local disease; late stage includes regional and distant stage disease.

  • b

    Rates are per 100,000 persons and are age-adjusted to the 2000 US standard population (19 age groups; Census P25-1130). In situ cancers are excluded.

  • c

    All RRs are statistically significant (P < .05).

  • Years of data and registries used: 1999-2004 (41 states and the District of Columbia): Alaska,* Alabama,* Arkansas, Arizona,* California,* Colorado,* Connecticut,* the District of Columbia, Delaware, Florida,* Georgia, Hawaii, Iowa,* Idaho,* Illinois, Indiana,* Kentucky, Louisiana,* Massachusetts,* Maine,* Michigan,* Minnesota,* Missouri, Montana,* North Carolina,* Nebraska,* New Hampshire, New Jersey, New Mexico,* Nevada,* New York,* Ohio, Oklahoma,* Oregon,* Pennsylvania,* Rhode Island,* Texas,* Utah,* Washington,* Wisconsin,* West Virginia, and Wyoming*; 1999 and 2002-2004: North Dakota*; 2001-2004: South Dakota*; 2003-2004: Mississippi* and Virginia; 2004: Tennessee (asterisks indicate states with at least 1 county designated as a Contract Health Service Delivery Area).

Northern PlainsBoth sexes13022.426145.42.021.61-2.56822619.212,47229.21.521.48-1.56
 Males7228.514054.31.911.37-2.68418622.5635334.11.521.46-1.58
 Females5818.312138.42.111.51-2.97404016.6611925.31.521.46-1.58
AlaskaBoth sexes11238.717660.01.551.20-2.0127019.439628.21.461.23-1.73
 Males4934.78060.91.751.18-2.6415421.624034.61.601.26-2.03
 Females6341.29660.01.461.04-2.0511617.015622.31.321.02-1.71
Southern PlainsBoth sexes19518.937134.81.851.54-2.22326219.5486129.21.501.43-1.56
 Males10424.117838.71.611.24-2.10175024.4255435.41.451.36-1.54
 Females9115.219332.22.111.64-2.75151215.9230724.41.541.44-1.64
Pacific CoastBoth sexes11912.625025.52.021.60-2.5814,33918.222,11628.11.551.51-1.58
 Males5714.312628.72.001.41-2.90752321.711,20432.21.491.44-1.53
 Females6211.512423.32.021.46-2.83681615.410,91224.71.601.56-1.65
EastBoth sexes2510.46225.02.411.48-4.1012,04921.216,33828.81.361.33-1.39
 Males77.02523.93.421.39-10.74628126.0806633.41.291.24-1.33
 Females1813.03726.22.011.12-3.80576817.5827225.21.441.39-1.49
SouthwestBoth sexes845.719812.52.191.68-2.90596916.6897925.11.511.47-1.57
 Males426.611816.92.571.76-3.84329520.1482129.31.461.39-1.52
 Females425.1809.11.791.21-2.70267413.7415821.41.571.49-1.65
TotalBoth sexes66514.7131828.21.921.74-2.1244,11518.965,16228.11.481.46-1.50
 Males33116.866732.11.911.65-2.2123,18922.833,23832.61.431.41-1.46
 Females33413.265125.21.911.67-2.2020,92615.931,92424.41.531.51-1.56

Excluding the appendix, NOS subsites, and overlapping lesions, 36% of CRCs among AI/ANs were located in the proximal portion (cecum to splenic flexure) of the colon compared with 45.3% of CRCs among NHW males and females from 1999 through 2004. The overall RR of proximal to distal (splenic flexure through rectum) disease was lower among AI/ANs than among NHWs, indicating a lower propensity toward proximal disease; the exceptions were for both sexes in the East and among females in Alaska, the Pacific Coast, and the Southwest, where AI/AN rates of proximal and distal CRC were not statistically different (Table 5). Females were more likely than males to be diagnosed with proximal disease among both AI/ANs and NHWs (40.6% and 50.7% among AI/AN and NHW females, respectively, compared with 31.3% and 40.4% among AI/AN and NHW males).

Table 5. Invasive Colorectal Cancer Incidence Counts, Rates, and Rate Ratios by Tumor Location, Indian Health Service Region, and Sex for American Indians/Alaska Natives and Non-Hispanic Whites in Contract Health Service Delivery Area Counties: US, 1999-2004a
IHS RegionSexAmerican Indians/Alaska NativesNon-Hispanic Whites
ProximalDistal and RectumProximal/Distal and RectumProximalDistal and RectumProximal/Distal and Rectum
CountRatebCountRatebRR95% CI for RRCountRatebCountRatebRR95% CI for RR
  • Source: Cancer registries in the Center for Disease Control and Prevention's National Program of Cancer Registries and/or the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program.

  • IHS indicates Indian Health Service; RR, rate ratio; 95% CI, 95% confidence interval.

  • a

    Rates are per 100,000 persons and are age-adjusted to the 2000 US standard population (19 age groups; Census P25-1130). Excludes in situ cancers.

  • b

    The RR is statistically significant (P < .05).

  • Years of data and registries used: 1999-2004 (41 states and the District of Columbia): Alaska,* Alabama,* Arkansas, Arizona,* California,* Colorado,* Connecticut,* the District of Columbia, Delaware, Florida,* Georgia, Hawaii, Iowa,* Idaho,* Illinois, Indiana,* Kentucky, Louisiana,* Massachusetts,* Maine,* Michigan,* Minnesota,* Missouri, Montana,* North Carolina,* Nebraska,* New Hampshire, New Jersey, New Mexico,* Nevada,* New York,* Ohio, Oklahoma,* Oregon,* Pennsylvania,* Rhode Island,* Texas,* Utah,* Washington,* Wisconsin,* West Virginia, and Wyoming*; 1999 and 2002-2004: North Dakota*; 2001-2004: South Dakota*; 2003-2004: Mississippi* and Virginia; 2004: Tennessee (asterisks indicate states with at least 1 county designated as a Contract Health Service Delivery Area).

Northern PlainsBoth sexes15622.532444.10.51c0.41-0.6311,75522.413,43126.10.86c0.84-0.88
 Males7725.718153.70.48c0.35-0.65525123.7761833.30.71c0.69-0.74
 Females7920.314336.20.56c0.42-0.75650421.5581320.21.06c1.02-1.10
AlaskaBoth sexes14142.021156.20.75c0.59-0.9432621.148526.30.80c0.69-0.93
 Males5233.910561.30.55c0.38-0.8017723.530733.80.70c0.56-0.86
 Females8949.010651.70.950.70-1.2714918.917819.30.980.77-1.24
Southern PlainsBoth sexes23719.442932.10.60c0.51-0.71394719.5529226.50.74c0.71-0.77
 Males10922.021537.40.59c0.46-0.75184021.6304134.60.62c0.59-0.66
 Females12817.921428.60.63c0.50-0.79210717.9225120.30.89c0.83-0.94
Pacific CoastBoth sexes16615.328121.50.71c0.58-0.8820,16121.023,51524.90.84c0.83-0.86
 Males6915.215326.20.58c0.42-0.79917422.213,31531.30.71c0.69-0.73
 Females9715.812817.70.890.67-1.1810,98720.010,20019.61.021.00-1.05
EastBoth sexes4515.76419.50.800.53-1.2015,89022.519,72629.20.77c0.76-0.79
 Males1612.22818.90.640.31-1.28723625.010,76236.70.68c0.66-0.70
 Females2918.03620.20.890.52-1.50865420.8896423.40.89c0.86-0.92
SouthwestBoth sexes1237.023712.10.58c0.46-0.73828918.910,34123.80.80c0.77-0.82
 Males527.014216.40.43c0.30-0.60407620.8597329.60.70c0.68-0.73
 Females717.1958.70.810.58-1.12421317.4436818.80.92c0.89-0.97
TotalBoth sexes86816.3154625.90.63c0.58-0.6960,36821.272,79026.10.81c0.80-0.82
 Males37516.682431.00.53c0.47-0.6127,75422.941,01632.90.69c0.68-0.71
 Females49316.372222.00.74c0.66-0.8432,61419.931,77420.50.97c0.95-0.98

DISCUSSION

  1. Top of page
  2. Abstract
  3. MATERIALS AND METHODS
  4. RESULTS
  5. DISCUSSION
  6. REFERENCES

The objective of this study was to describe more accurately the incidence of CRC in AI/AN populations by linking NPCR and SEER cancer registry data with IHS records and then focusing on CHSDA counties where the misclassification of race was less prevalent. During the study period, CRC was the third most commonly diagnosed cancer among CHSDA AI/AN males and females, accounting for 11.8% of all cancers.26 Our most dramatic finding was the regional variation in CRC incidence, with an almost 5-fold difference observed between AI/AN populations in Alaska and the Southwest. Also important were differences in incidence, stage of diagnosis, and colonic subsite distribution between AI/AN and NHW populations. Because only 56% of AI/ANs live in CHSDA counties (15% in the East Region), caution should be exercised not to generalize our results to the entire AI/AN population.

Geographic, racial, and gender differences in both CRC incidence and the distribution of incident cancers by colonic subsite may provide insights into etiologic risk factors and are important for guiding CRC screening recommendations. Regional differences in CRC incidence are likely a function of the heterogeneity of AI/AN populations, which vary greatly in culture, diet, resources, environment, and, theoretically, even genetic risk. Regional data from the Behavioral Risk Factor Surveillance System (BRFSS) suggest that AI/AN males and females have a higher prevalence of known CRC risk factors, including diabetes, obesity, smoking, and binge alcohol consumption.27 Except for smoking, however, regional variations of these risk factors do not appear to mirror regional differences in CRC incidence rates. Smoking rates during 1999 through 2003 for Southwest AI/ANs (20.4%) were less than 50% of those reported in the Northern Plains and Alaska (both 43.9%).

Regional differences in diet and environmental micronutrients also may modify CRC risk.28, 29 For example, previous studies have suggested that solar irradiance and its role in vitamin D production may explain in part the North-South CRC incidence gradient observed in the general population.30, 31 It also is believed that calcium intake decreases CRC risk, and calcium is plentiful in the ground water of the Navajo reservation.32, 33 Other population differences that also may alter the risk of CRC include the dietary intake of animal fats, folate, and the consumption patterns of fresh produce.34–37

In several areas, AI/ANs appeared to be susceptible to CRC at younger ages than NHWs. During the study period, there were 40 cases of CRC in the Southern Plains that occurred in AI/ANs aged <40years, a rate 66% higher than that for NHWs in this age group. Significantly higher rates of CRC also were observed among AI/ANs ages 40 to 49 years in Alaska and the Northern Plains. The onset of CRC in young populations should raise suspicion for the presence of hereditary CRC syndromes. Indeed, Navajo kindreds with hereditary nonpolyposis CRC syndrome have been followed for decades.38 Further work is needed in these populations to elucidate CRC risk factors and to assess whether CRC screening recommendations should be modified to include younger individuals.

Regional differences in CRC screening also may affect incidence. It is believed that screening primarily is responsible for the declining rate of CRC in the general population while it also contributes to a shift toward earlier stages of disease at diagnosis.22, 39 Flexible sigmoidoscopy screening also has been implicated in a temporal shift of incident CRCs from the distal colon and rectum to more proximal sites.40–43 Although BRFSS data suggest that AI/ANs have lower CRC fecal occult blood testing (FOBT) and endoscopic screening rates than NHWs (overall, 44.0% and 53.8%, respectively),27 the true screening disparity may be far greater. Participation in the BRFSS requires individuals have a telephone and be willing to be interviewed.44 For AI/ANs, this tends to select those with more income, higher levels of education, and less traditional ways of life, all of which have been associated with higher rates of screening participation.8, 45, 46 In addition, cultural factors, including a reluctance to trust outsiders, modesty, and hesitancy to discuss one's health, may bias BRFSS prevalence estimates further for AI/ANs.

Data from other sources suggest significant variation in screening rates between AI/ANs and NHWs. For example, a 2007 review of CRC screening compliance among patients who visited Alaska tribal health centers reported that 34.8% of individuals aged ≥50 years were current with U.S. Preventive Services Task Force CRC screening recommendations, although rates from individual tribal health facilities ranged from 5.5% to 60.8%.47 This compares with a reported Alaska AI/AN BRFSS rate of 49.5%.27 Although financial, institutional, geographic, and cultural barriers to CRC screening vary widely between communities, AI/ANs in the Southwest and Northern Plains are significantly less likely than the general population to have undergone CRC screening.48, 49 Poverty, low education attainment, and insufficient health coverage are major challenges for AI/AN communities and also most likely contribute to lower screening rates.50–52

The colonic subsite distribution of CRC has major relevance for the choice of methods used for screening. For example, prior reports have demonstrated that females in the US have a higher prevalence of adenomatous polyps and CRCs in the proximal colon than men, leading to conclusions that colonoscopy is a preferable CRC screening option for females.42, 53 Our work also indicated that females had a greater propensity toward proximal CRC. NHW females had a near equal prevalence of proximal to distal cancers, whereas NHW males had proportionally fewer proximal cancers. Similarly, AI/AN females had a higher proportion of proximal cancers than AI/AN men. However, as a population, AI/ANs had proportionately more distal cancers (64%) than NHWs (55%). Factors other than gender that are believed to influence subsite distribution include smoking, physical activity, alcohol abuse, diabetes, nonsteroidal anti-inflammatory drug use, and dietary factors.40, 54–63 A better understanding of the relative risks of these variables and CRC in AI/AN populations is needed.

Our analysis revealed that AI/ANs were diagnosed more commonly with later stage CRC than NHWs. Many factors influence the stage at which CRC is diagnosed. AI/AN communities face substantial barriers to the early detection and prevention of CRC. Limited availability of endoscopic services, provider time pressures, health systems that are geared and used primarily for acute and subacute care, and an underfunded health system are institutional barriers to screening for many AI/AN healthcare systems. In addition, cultural hesitance to access Western medicine for nonacute health problems, infrequent provider recommendations to get screened, insufficient health coverage, inability to afford Medicare or insurance copays, and transportation difficulties are factors commonly cited as cancer screening barriers by AI/AN individuals.46, 64–66

Alaska, although it has the highest AI/AN population CRC rates, had the highest proportion of cases detected in early stages. Among IHS regions, Alaska has been the most proactive toward CRC screening. Since 2000, Alaska has increased its CRC screening rate by >50%.47 Vanguard efforts have included the training and employment of a nurse practitioner who conducts screening colonoscopies in Anchorage and programs to train mid-level providers to conduct flexible sigmoidoscopies at regional health facilities.67, 68 Innovation has been spurred by the CRC burden as well as by the necessary abandonment of guaiac-based FOBT because of a high prevalence of Helicobacter pylori-associated hemorrhagic gastritis.69 The commitment of the Alaska Native Tribal Health Consortium to increasing endoscopic capacity, overcome cost and transportation barriers, and the implementation of screening promotion programs are having a positive impact on disease stage at diagnosis.

In our study, CRC incidence rates appeared to be much higher among AI/AN males and females living in CHSDA counties than in all counties. This difference is most likely because of higher rates of race misclassification in non-CHSDA areas that are not corrected by our linkage rather than true differences in incidence. In 2000, 64.1% of the AI/AN population lived outside of Census Bureau-defined ‘American Indian areas,’ and >31% were not considered part of the IHS population.70, 71 Data on the health status of these mostly urban AI/AN populations are scarce and resources are fleeting, with only 1% of the annual IHS appropriation available to support 34 urban AI/AN clinics across the nation. More work to define and address the health of urban AI/AN populations clearly is needed.

For this study, linkages and geographic analyses were used to reduce the misclassification of race in AI/AN populations to more accurately describe CRC incidence. Clearly, there are significant regional differences in CRC rates among AI/AN males and females. Work to understand the reasons behind this 5-fold variation holds great promise for elucidating CRC risk factors, not only for AI/AN populations but for all populations. Our findings that AI/AN tend to be diagnosed with more advanced disease, coupled with the apparent success of Alaskan endoscopic screening programs in capturing earlier stage diagnoses, call for resources and diligence in approaching this disparity. Currently, approximately 1 in 18 Americans will be diagnosed with CRC in their lifetime.72 The lifetime risk for AI/AN males and females in Alaska and the Northern and Southern Plains is higher. Although efforts aimed at modifying CRC risk factors are important, they are often a generational objective. Meanwhile, up to 90% of CRC can be prevented by screening and surveillance because of the efficacy of removing adenomatous polyps before they become cancers.43, 73 Disparities in CRC incidence and stage at diagnosis are likely to persist until screening is made a priority for tribal health systems, the many barriers to screening are overcome, and AI/AN communities are engaged in culturally appropriate ways to participate.

REFERENCES

  1. Top of page
  2. Abstract
  3. MATERIALS AND METHODS
  4. RESULTS
  5. DISCUSSION
  6. REFERENCES
  • 1
    Espey D,Paisano R,Cobb N. Regional patterns and trends in cancer mortality among American Indians and Alaska Natives, 1990-2001. Cancer. 2005; 103: 10451053.
  • 2
    Espey DK,Wu XC,Swan J, et al. Annual report to the nation on the status of cancer, 1975-2004, featuring cancer in American Indians and Alaska Natives. Cancer. 2007; 110: 21192152.
  • 3
    Paltoo DN,Chu KC. Patterns in cancer incidence among American Indians/Alaska Natives, United States, 1992-1999. Public Health Rep. 2004; 119: 443451.
  • 4
    Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov). SEER*Stat Database: Incidence-SEER 17 Registries Public-Use. Based on the November 2005 submission (2000-2003), released April 2006. Bethesda, Md: National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch; 2006.
  • 5
    Frost F,Taylor V,Fries E. Racial misclassification of Native Americans in a Surveillance, Epidemiology, and End Results cancer registry. J Natl Cancer Inst. 1992; 84: 957962.
  • 6
    Rosenberg HM,Maurer JD,Sorlie PD, et al. Quality of death rates by race and Hispanic origin: a summary of current research, 1999. Vital Health Stat 2. 1999; 128: 113.
  • 7
    Arias E,Schauman WS,Eschbach K,Sorlie PD, The validity of race and Hispanic origin reporting on death certificates in the United States. Natl Vital Stat Rep. In press.
  • 8
    Ioannou GN,Chapko MK,Dominitz JA. Predictors of colorectal cancer screening participation in the United States. Am J Gastroenterol. 2003; 98: 20822091.
    Direct Link:
  • 9
    Mettlin CJ,Menck HR,Winchester DP,Murphy GP. A comparison of breast, colorectal, lung, and prostate cancers reported to the National Cancer Data Base and the Surveillance, Epidemiology, and End Results Program. Cancer. 1997; 79: 20522061.
  • 10
    Puukka E,Stehr-Green P,Becker TM. Measuring the health status gap for American Indians/Alaska Natives: getting closer to the truth. Am J Public Health. 2005; 95: 838843.
  • 11
    Swan J,Edwards BK. Cancer rates among American Indians and Alaska Natives: is there a national perspective? Cancer. 2003; 98: 12621272.
  • 12
    Espey DK,Wiggins CL,Jim MA,Miller BA,Johnson CJ,Becker TM. Methods for improving cancer surveillance data in American Indian and Alaska Native populations. Cancer. 2008; 113( 5 suppl): 11201130.
  • 13
    U.S. Cancer Statistics Working Group. United States Cancer Statistics: 2003 Incidence and Mortality. Atlanta, Ga: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute; 2006.
  • 14
    Wingo PA,Jamison PM,Hiatt RA, et al. Building the infrastructure for nationwide cancer surveillance and control—a comparison between the National Program of Cancer Registries (NPCR) and the Surveillance, Epidemiology, and End Results (SEER) Program (United States). Cancer Causes Control. 2003; 14: 175193.
  • 15
    National Cancer Institute. Surveillance Epidemiology and End Results (SEER) Program. Population estimates used in NCI's SEER*Stat software. Available at: http://seer.cancer.gov/popdata/methods.html. Accessed on July 10, 2008.
  • 16
    Ingram DD,Parker JD,Schenker N, et al. United States Census 2000 Population With Bridged Race Categories. DHHS Publication PHS 2003-1334. Vital and Health Statistics, Series 2, No. 135. Data Evaluation and Methods Research. Atlanta, Ga: Health and Human Services Department, Centers for Disease Control and Prevention, National Center for Health Statistics; 2003.
  • 17
    Jackson-Thompson J,Ahmed F,German RR,Lai SM,Friedman C. Descriptive epidemiology of colorectal cancer in the United States, 1998-2001. Cancer. 2006; 107( 5 suppl): 11031111.
  • 18
    Howe HL,Jamison PM,Havener L,Chen VW,Ries LAG. Site-Specific Comparison of Summary Stage 1977 and Summary Stage 2000 Coding. Springfield, Ill: North American Association of Central Cancer Registries; 2005. Available at: http://www.naaccr.org/index.asp?Col_SectionKey=11&Col_ContentID=397. Accessed on July 10, 2008.
  • 19
    PhillipsJ, ed. Summary Stage: Data Effects of the Changes in 2000. Springfield, Ill: North American Association of Central Cancer Registries; 2003.
  • 20
    Berg JW. Morphologic classification of human cancer. In: SchottenfeldD,FraumeniJJr, eds. Cancer Epidemiology and Prevention,2nd ed. New York, NY: Oxford University Press; 1996: 28.
  • 21
    Stewart SL,Wike JM,Kato I,Lewis DR,Michaud F. A population-based study of colorectal cancer histology in the United States, 1998-2001. Cancer. 2006; 107( 5 suppl): 11281141.
  • 22
    Pignone M,Rich M,Teutsch SM,Berg AO,Lohr KN. Screening for colorectal cancer in adults at average risk: a summary of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med. 2002; 137: 132141.
  • 23
    Winawer S,Fletcher R,Rex D, et al. Colorectal cancer screening and surveillance: clinical guidelines and rationale—update based on new evidence. Gastroenterology. 2003; 124: 544560.
  • 24
    Tiwari RC,Ghosh K,Jemal A, et al. A new method of predicting U.S. and state-level cancer mortality counts for the current calendar year. CA Cancer J Clin. 2004; 54: 3040.
  • 25
    Surveillance Epidemiology, and End Results Program. SEER*Stat software. Bethesda, Md: National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch; 2007. Available at: http://www.seer.cancer.gov/seerstat. Accessed on July 10, 2008.
  • 26
    Wiggins CL,Espey DK,Wingo PA, et al. Cancer among American Indians and Alaska Natives in the United States, 1999-2004. Cancer. 2008; 113( 5 suppl): 11421152.
  • 27
    Steele CB,Cardinez CJ,Richardson LC,Tom-Orme L,Shaw KM. Surveillance for health behaviors of American Indians and Alaska Natives—findings from the Behavioral Risk Factor Surveillance System, 2000-2006. Cancer. 2008; 113( 5 suppl): 11311141.
  • 28
    Di Noia J,Schinke SP,Contento IR. Dietary patterns of reservation and nonreservation Native American youths. Ethn Dis. 2005; 15: 705712.
  • 29
    Stang J,Zephier EM,Story M, et al. Dietary intakes of nutrients thought to modify cardiovascular risk from 3 groups of American Indians: the Strong Heart Dietary Study, Phase II. J Am Diet Assoc. 2005; 105: 18951903.
  • 30
    Emerson JC,Weiss NS. Colorectal cancer and solar radiation. Cancer Causes Control. 1992; 3: 9599.
  • 31
    Lai SM,Zhang KB,Uhler RJ,Harrison JN,Clutter GG,Williams MA. Geographic variation in the incidence of colorectal cancer in the United States, 1998-2001. Cancer. 2006; 107( 5 suppl): 11721180.
  • 32
    Hallfrisch J,Veillon C,Patterson KY, et al. Bone-related mineral content of water samples collected on the Navajo reservation. Toxicology. 2000; 149: 143148.
  • 33
    Wu K,Willett WC,Fuchs CS,Colditz GA,Giovannucci EL. Calcium intake and risk of colon cancer in women and men. J Natl Cancer Inst. 2002; 94: 437446.
  • 34
    Kim MK,Sasaki S,Otani T,Tsugane S;Japan Public Health Center-based Prospective Study G. Dietary patterns and subsequent colorectal cancer risk by subsite: a prospective cohort study. Int J Cancer. 2005; 115: 790798.
  • 35
    Kim Y-I. Folate and colorectal cancer: an evidence-based critical review. Mol Nutr Food Res. 2007; 51: 267292.
  • 36
    Martinez ME,Jacobs ET,Ashbeck EL, et al. Meat intake, preparation methods, mutagens and colorectal adenoma recurrence. Carcinogenesis. 2007; 28: 20192027.
  • 37
    Millen AE,Subar AF,Graubard BI, et al. Fruit and vegetable intake and prevalence of colorectal adenoma in a cancer screening trial. Am J Clin Nutr. 2007; 86: 17541764.
  • 38
    Lynch PM,Wargovich MJ,Lynch HT, et al. A follow-up study of colonic epithelial proliferation as a biomarker in a Native-American family with hereditary nonpolyposis colon cancer. J Natl Cancer Inst. 1991; 83: 951954.
  • 39
    Cress RD,Morris C,Ellison GL,Goodman MT. Secular changes in colorectal cancer incidence by subsite, stage at diagnosis, and race/ethnicity, 1992-2001. Cancer. 2006; 107( 5 suppl): 11421152.
  • 40
    Cheng X,Chen VW,Steele B, 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: 25472554.
  • 41
    Cucino C,Buchner AM,Sonnenberg A. Continued rightward shift of colorectal cancer. Dis Colon Rectum. 2002; 45: 10351040.
  • 42
    Schoenfeld P,Cash B,Flood A, et al. Colonoscopic screening of average-risk women for colorectal neoplasia. N Engl J Med. 2005; 352: 20612068.
  • 43
    Winawer SJ,Zauber AG,Ho MN, et al. Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup. N Engl J Med. 1993; 329: 19771981.
  • 44
    Levin S,Welch VL,Bell RA,Casper ML. Geographic variation in cardiovascular disease risk factors among American Indians and comparisons with the corresponding state populations. Ethn Health. 2002; 7: 5767.
  • 45
    Bressler B,Lo C,Amar J, et al. Prospective evaluation of screening colonoscopy: who is being screened? Gastrointest Endosc. 2004; 60: 921926.
  • 46
    Coe K,Attakai A,Papenfuss M,Giuliano A,Martin L,Nuvayestewa L. Traditionalism and its relationship to disease risk and protective behaviors of women living on the Hopi reservation. Health Care women Int. 2004; 25: 391410.
  • 47
    Indian Health Service. Alaska Area 2007 Aggregate Report, IHS 2007 National GPRA (Government Performance and Results Act of 1993) Clinical Performance Report, Clinical Reporting System, Version 7.0. Report run August 6, 2007. Anchorage, Alaska: Indian Health Service, Alaska Area Native Health Service; 2007.
  • 48
    Chao A,Gilliland FD,Hunt WC,Bulterys M,Becker TM,Key CR. Increasing incidence of colon and rectal cancer among Hispanics and American Indians in New Mexico (United States), 1969-1994. Cancer Causes Control. 1998; 9: 137144.
  • 49
    James TM,Greiner KA,Ellerbeck EF,Feng C,Ahluwalia JS. Disparities in colorectal cancer screening: a guideline-based analysis of adherence. Ethn Dis. 2006; 16: 228233.
  • 50
    Adams EK,Thorpe KE,Becker ER,Joski PJ,Flome J. Colorectal cancer screening, 1997-1999: role of income, insurance and policy. Prev Med. 2004; 38: 551557.
  • 51
    McCaffery K,Wardle J,Nadel M,Atkin W. Socioeconomic variation in participation in colorectal cancer screening. J Med Screen. 2002; 9: 104108.
  • 52
    Ward E,Jemal A,Cokkinides V, et al. Cancer disparities by race/ethnicity and socioeconomic status. CA Cancer J Clin. 2004; 54: 7893.
  • 53
    McCashland TM,Brand R,Lyden E,de Garmo P;CORI Research Project. Gender differences in colorectal polyps and tumors. Am J Gastroenterol. 2001; 96: 882886.
    Direct Link:
  • 54
    Colbert LH,Hartman TJ,Malila N, et al. Physical activity in relation to cancer of the colon and rectum in a cohort of male smokers. Cancer Epidemiol Biomarkers Prev. 2001; 10: 265268.
  • 55
    Hu J,Morrison H,Mery L,DesMeules M,Macleod M,Canadian Cancer Registries Epidemiology Research G. Diet and vitamin or mineral supplementation and risk of colon cancer by subsite in Canada. Eur J Cancer Prev. 2007; 16: 275291.
  • 56
    Isomura K,Kono S,Moore MA, et al. Physical activity and colorectal cancer: the Fukuoka Colorectal Cancer Study. Cancer Sci. 2006; 97: 10991104.
  • 57
    Limburg PJ,Anderson KE,Johnson TW, et al. Diabetes mellitus and subsite-specific colorectal cancer risks in the Iowa Women's Health Study. Cancer Epidemiol Biomarkers Prev. 2005; 14: 133137.
  • 58
    Limburg PJ,Vierkant RA,Cerhan JR,Yang P,Lazovich D,Potter JD, et al. Cigarette smoking and colorectal cancer: long-term, subsite-specific risks in a cohort study of postmenopausal women. Clin Gastroenterol Hepatol. 2003; 1: 202210.
  • 59
    Mahipal A,Anderson KE,Limburg PJ,Folsom AR. Nonsteroidal anti-inflammatory drugs and subsite-specific colorectal cancer incidence in the Iowa Women's Health Study. Cancer Epidemiol, Biomarkers Prev. 2006; 15: 17851790.
  • 60
    Sharpe CR,Siemiatycki J,Rachet B. Effects of alcohol consumption on the risk of colorectal cancer among men by anatomical subsite (Canada). Cancer Causes Control. 2002; 13: 483491.
  • 61
    Sharpe CR,Siemiatycki JA,Rachet BP. The effects of smoking on the risk of colorectal cancer. Dis Colon Rectum. 2002; 45: 10411050.
  • 62
    Wu X,Cokkinides V,Chen VW, et al. Associations of subsite-specific colorectal cancer incidence rates and stage of disease at diagnosis with county-level poverty, by race and sex. Cancer. 2006; 107( 5 suppl): 11211127.
  • 63
    Zhang Y,Cantor KP,Dosemeci M,Lynch CF,Zhu Y,Zheng T. Occupational and leisure-time physical activity and risk of colon cancer by subsite. J Occup Environ Med. 2006; 48: 236243.
  • 64
    Canales M. Taking care of self: health care decision making of American Indian women. Health Care Women Int. 2004; 25: 411435.
  • 65
    Michalek AM,Mahoney MC,Tome D,Tenney M,Burhansstipanov L. Tribal-based cancer control activities. Services and perceptions. Cancer. 1996; 78( 7 suppl): 15741577.
  • 66
    Novins DK,Beals J,Moore LA,Spicer P,Manson SM; AI-SUPERPFP Team. Use of biomedical services and traditional healing options among American Indians: sociodemographic correlates, spirituality, and ethnic identity. Med Care. 2004; 42: 670679.
  • 67
    Meltzer W. Nurses doing flexible sigmoidoscopy and colonoscopy [serial online]. Outpatient Surg. 2004. Available at: http://www.outpatientsurgery.net/2004/os05/nurses_flexible_sigmoidoscopy_colonoscopy.php. Accessed on July 10, 2008.
  • 68
    Schraag J. She'll do quite well! Pioneering the murky waters of nurse practitioner-led screening colonoscopies [serial online]. EndoNurse. 2006. Available at: http://www.endonurse.com/articles/6c1feat3. Accessed on July 10, 2008.
  • 69
    Yip R,Limburg PJ,Ahlquist DA, et al. Pervasive occult gastrointestinal bleeding in an Alaska native population with prevalent iron deficiency. Role of Helicobacter pylori gastritis. JAMA. 1997; 277: 11351139.
  • 70
    Indian Health Service Division of Program Statistics. American Indian and Alaska Native population estimates by state for each year 1980 to 2000 (for service and nonservice portions of each state). Available at: http://www.ihs.gov/NonMedicalPrograms/IHS_Stats/Statistical_Databases.asp. Accessed on July 10, 2008.
  • 71
    Ogunwole SU. We the People: American Indians and Alaska Natives in the United States: Census 2000 Special Reports. Washington, DC: U.S. Census Bureau; 2006.
  • 72
    Jemal A,Thomas A,Murray T,Thun M. Cancer statistics, 2002. CA Cancer J Clin. 2002; 52: 2347.
  • 73
    Becker F,Nusko G,Welke J,Hahn EG,Mansmann U. Benefit-risk analysis of different risk-related surveillance schedules following colorectal polypectomy. Hepatogastroenterology. 2007; 54: 22492258.