Abstract
Purpose
Given the relation between screening and improved cancer outcomes and the persistence of ethnic disparities in cancer mortality, we explored ethnic differences in colonoscopy, prostate-specific antigen (PSA), and mammography screening in the Multiethnic Cohort Study.
Methods
Logistic regression was applied to examine the influence of ethnicity as well as demographics, lifestyle factors, comorbidities, family history of cancer, and previous screening history on self-reported screening participation collected in 1999–2002.
Results
The analysis included 140,398 participants who identified as white, African American, Native Hawaiian, Japanese American, US born-Latino, or Mexican born-Latino. The screening prevalences overall were mammography: 88% of women, PSA: 45% of men, and colonoscopy: 35% of men and women. All minority groups reported 10–40% lower screening utilization than whites, but Mexican-born Latinos and Native Hawaiian were lowest. Men were nearly twice as likely to have a colonoscopy (OR = 1.94, 95% CI = 1.89–1.99) as women. A personal screening history, presence of comorbidities, and family history of cancer predicted higher screening utilization across modalities, but to different degrees across ethnic groups.
Conclusions
This study confirms previously reported sex differences in colorectal cancer screening and ethnic disparities in screening participation. The findings suggest it may be useful to include personal screening history and family history of cancer into counseling patients about screening participation.
Keywords: Mammogram, PSA, Colonoscopy, Cancer screening, Ethnic differences
1. Introduction
Colorectal cancer is the second leading cause of cancer-related deaths in the United States (US) [1] while prostate and breast cancer are the two most commonly diagnosed sex-specific cancers [1]. The first screening guidelines for these cancers were published in 1980 [2], but with updates over time, recommendations for tests such as prostate-specific antigen (PSA) have changed in popularity [3,4]. Effective screening modalities improve cancer outcomes through earlier detection of tumors [5]; however, persistent ethnic disparities in cancer morbidity and mortality require a better understanding of factors influencing screening uptake [6].
Although colorectal cancer screening has increased over time, 37% of the US population aged 50–75 years report not being screened with lower screening utilization in some groups [7]. Women are less likely to be screened than men, and African Americans, Latinos, and Korean Americans have lower utilization rates than whites [8–10]. In 2008, 44% of men 50 years of age and older reported having had a PSA test in the last year [3]. As with colorectal cancer screening, lower rates of PSA screening were noted in African Americans, Latinos, and some Asian groups [11–13]. In 2010, 72% of women ages 50–74 reported having a mammogram in the past 2 years with the lowest rates occurring among Asian American women (64%) [14]. Cancer screening research that uses a more refined ethnic classification for groups that tend to be aggregated, such as Asian Americans, Pacific Islanders, and Latinos, is needed [10,15].
Family and personal medical history, access to medical care, and physician recommendations for cancer screening have all been shown to affect screening behaviors [8,11,13,16–21]. Interactions between ethnicity and these factors have emerged as areas of interest [13,22–25]. The purpose of the current study was to examine how ethnicity and other factors influence colonoscopy, PSA, and mammography screening among participants of the Multiethnic Cohort (MEC).
2. Patients and methods
2.1. Study population
The MEC is an ethnically diverse prospective cohort designed to investigate the association of lifestyle and genetic factors with cancer incidence. The design and implementation of the MEC have been described elsewhere [26]. Briefly, over 215,000 men and women aged 45–75 years at recruitment and residing in Hawaii or California (primarily Los Angeles County) were enrolled between 1993 and 1996. To obtain a multiethnic sample of whites, African Americans, Native Hawaiians, Japanese Americans, and Latinos, a population-based sampling frame utilized drivers’ license files, supplemented with voter registration lists and Health Care Financing Administration (Medicare) files. The Institutional Review Boards at the University of Hawaii and the University of Southern California approved the study protocol.
2.2. Data collection
At cohort entry, participants completed a self-administered, 26-page baseline questionnaire (Q × 1) providing demographic, dietary, and other health and lifestyle information. Between 1999 and 2002, about 85% of eligible MEC members completed a brief follow-up questionnaire (Q × 2) that included information on medical history and an expanded cancer screening practices section for men and women (mammogram, Pap smear, PSA test, colonoscopy, gastroscopy).
2.3. Exclusion criteria
Participants were excluded from the current analysis if they were not from one of the five major ethnic groups (n = 10,311), were <50 years of age at time of Q × 2 (n = 675), reported a previous cancer diagnosis in Q × 2 (n = 16,568), and did not complete Q × 2 (n = 47,879). The final analytic sample included 140,398 participants (n = 62,005 men; n = 78,393 women) with complete data on screening history and ethnicity.
2.4. Measures
Information on ethnicity, education, and smoking was obtained from Q × 1 as it was not updated in Q × 2. Ethnicity was based on self-report; persons who reported mixed ancestry were assigned to one of the ethnic groups according to the priority ranking: African-American, Native Hawaiian, Latino, Japanese American, and white [26]. Latinos were split into US and Mexican born individuals. Education was coded as completing vocational school or some college (yes/no). Cigarette smoking was classified as current or not (including former and never). Information on cancer screening, age, anthropometric measures, comorbidity, and family history of cancer was obtained from Q×2. Screening prevalences were assessed using participants’ reports of at least one of the following tests in the past: colonoscopy or sigmoidoscopy of the colon (colonoscopy) (yes/no), PSA (men only) (yes/no), or mammogram (women only) (yes/no). Personal screening history was defined as use of one of the other screening modalities. Screening information collected on Q × 1 was not considered as it was limited to women. Age was coded as 65 years and older to provide an indicator of likely Medicare enrollment. Self-reported height and weight were used to calculate body mass index (BMI) and classified as underweight (<18.5 kg/m2), normal weight (18.5–24.9 kg/m2), overweight (25–29.9 kg/m2) and obese (≥30 kg/m2). The presence of comorbidity was based on participants’ reporting being told by a doctor that they had at least one of the following conditions: angina pectoris, diabetes, heart disease, high blood pressure, or stroke. Family history of cancer assessed the following cancers in the participant’s natural father, mother, or full siblings: colon/rectal, prostate, breast, lung, stomach, ovarian, and melanoma of the skin.
2.5. Statistical analysis
Odds ratios (OR) and 95% confidence intervals (CIs) were the primary statistics of interest, as well as predicted prevalences using the distribution of covariates for the overall MEC population. Adjusted prevalences were obtained for each screening modality by logistic regression adjusted for age at follow-up and covariates of interest. Unconditional logistic regression was used to model screening participation for each modality. Covariates in the regression models included: ethnicity, sex, age at follow-up, education, smoking status, BMI status, location (Hawaii/Los Angeles), history of other cancer screening (personal screening history), comorbidity, previous cancer diagnosis, and family history of cancer. Sex differences by ethnicity were assessed using a Wald test of an interaction term in the regression model for colonoscopy. Differences in the effect of comorbidity, previous cancer diagnosis, and family history of cancer by ethnicity were also assessed using Wald tests of interaction terms in the regression models for colonoscopy, PSA and mammography. All analyses were conducted in SAS 9.3 (SAS Institute), using two-tailed tests with significance set at p < 0.05.
3. Results
Colonoscopy use was reported by 48,718 (35%) of the 140,398 participants, PSA by 27,716 (45%) of the 62,005 men, and mammography by 68,594 (88%) of the 78,393 women (unadjusted prevalences) (Table 1). After full adjustment (Table 1), the highest prevalences for colonoscopy were seen in Japanese Americans and whites (37% each), followed by African Americans (34%), US born-Latinos (32%), and Native Hawaiians (31%), while Mexican born-Latinos were lowest (27%). African American men had the highest adjusted prevalence for PSA testing (52%) and Native Hawaiian and Mexican-born Latino men the lowest (36% each). For mammography, participation was very similar (>84%) across ethnic groups with white and Japanese American women reporting the highest adjusted prevalences (89% and 88%, respectively).
Table 1.
Characteristics | All | White | African American | Native Hawaiian | Japanese American | US Born-Latino | Mexican Born-Latino |
---|---|---|---|---|---|---|---|
N (Male/female) | 140,398 (62,005/78,393) |
35,628 (16,335/19,293) |
20,940 (6,827/14,113) |
9,912 (4,347/5,565) |
44,025 (20,662/23,363) |
16,105 (7,502/8,603) |
13,788 (6,332/7,456) |
Age at baseline (years)b | 59.3 (8.7) | 58.1 (8.8) | 60.6 (9.0) | 56.2 (8.2) | 60.3 (9.0) | 60.2 (7.6) | 58.2 (7.4) |
Age at follow-up | |||||||
Under 65 years old | 46.9 | 53.7 | 40.0 | 62.5 | 41.9 | 39.9 | 52.5 |
65 years and older | 53.1 | 46.3 | 60.0 | 37.6 | 58.2 | 60.1 | 47.6 |
Some college education or more | 57.6 | 74.6 | 60.7 | 48.6 | 61.5 | 40.5 | 23.5 |
Current smoker | 14.6 | 15.2 | 20.0 | 21.2 | 11.4 | 13.8 | 11.7 |
Body mass index (kg/m2) | |||||||
Underweight (<18.5) | 1.7 | 1.5 | 0.8 | 0.7 | 3.2 | 0.5 | 0.7 |
Normal (18.5–24.9) | 40.1 | 44.4 | 24.2 | 25.2 | 56.0 | 27.7 | 27.3 |
Overweight (25–29.9) | 38.0 | 36.4 | 40.0 | 37.8 | 32.8 | 44.6 | 48.5 |
Obese (≥30) | 19.2 | 17.3 | 31.7 | 35.6 | 7.2 | 27.0 | 22.1 |
Missing | 1.0 | 0.3 | 3.4 | 0.7 | 0.8 | 0.2 | 1.4 |
Location | |||||||
Hawaii | 51.1 | 72.4 | 1.9 | 98.8 | 78.8 | 6.6 | 0.4 |
Los Angeles | 48.9 | 27.6 | 98.1 | 1.2 | 21.2 | 93.4 | 99.6 |
Comorbidityc | 49.0 | 38.0 | 65.6 | 54.4 | 48.8 | 52.3 | 44.6 |
Family history of cancer | |||||||
Polyps | 4.2 | 5.1 | 2.6 | 3.4 | 5.7 | 3.1 | 1.4 |
Colorectal cancer | 8.9 | 9.4 | 8.5 | 7.5 | 11.2 | 7.4 | 3.2 |
Prostate cancer | 7.0 | 8.2 | 8.9 | 5.4 | 6.3 | 6.9 | 4.4 |
Breast cancer | 10.1 | 12.0 | 9.6 | 12.3 | 10.2 | 9.5 | 5.1 |
Screening prevalences, unadjusted | |||||||
Colonoscopy | 34.7 | 38.8 | 35.7 | 24.9 | 38.1 | 32.5 | 21.6 |
PSA | 44.7 | 50.9 | 50.3 | 28.7 | 42.6 | 47.0 | 38.5 |
Mammogram | 87.5 | 89.6 | 86.6 | 84.3 | 87.9 | 86.5 | 85.5 |
Screening prevalences, adjustedd | |||||||
Colonoscopy | 37.0 | 34.0 | 31.0 | 37.4 | 32.3 | 27.2 | |
PSA | 48.7 | 52.1 | 36.1 | 43.7 | 44.8 | 36.0 | |
Mammogram | 88.5 | 87.5 | 87.5 | 88.1 | 85.9 | 84.4 |
All figures are percentages, unless otherwise noted.
Mean (standard deviation).
Comorbidity included the following: angina, diabetes, heart disease, and high blood pressure.
Adjusted prevalences were obtained by logistic regression models adjusted for age at follow-up, education, smoking status, BMI, location, history of other cancer screening, comorbidity, and family history of cancer.
Across screening modalities, participants who were white and had more years of education reported higher screening participation (Table 2). The ORs were particularly low for Native Hawaiians (colonoscopy: 0.67, PSA: 0.51, mammogram: 0.63) and Mexican born-Latinos (colonoscopy: 0.61, PSA: 0.73). Current smokers were less likely to be screened compared to former or those who never smoked. The same was true for underweight and obese individuals compared to normal weight individuals. A personal screening history was associated with a 3-fold higher prevalence of all screening while having comorbidities was associated with a 16–61% higher prevalence of screening. A family history of cancer was more important in predicting colonoscopy (OR = 1.90, 95% CI = 1.83–1.98) and PSA testing (OR = 1.79, 95% CI = 1.68–1.92) than mammography (OR = 1.45, 95% CI = 1.34–1.57).
Table 2.
N | Colonoscopy | P | N | PSA | P | N | Mammogram | P | |
---|---|---|---|---|---|---|---|---|---|
Ethnicity | |||||||||
White | 35,628 | 1.00 (Ref) | 16,335 | 1.00 (Ref) | 19,293 | 1.00 (Ref) | |||
African American | 20,940 | 0.99 (0.95–1.04) | 0.77 | 6827 | 0.87 (0.80–0.93) | <.0001 | 14,113 | 0.84 (0.77–0.91) | <.0001 |
Native Hawaiian | 9912 | 0.67 (0.63–0.70) | <.0001 | 4347 | 0.51 (0.47–0.55) | <.0001 | 5565 | 0.63 (0.58–0.70) | <.0001 |
Japanese | 44,025 | 0.98 (0.95–1.01) | 0.11 | 20,662 | 0.67 (0.64–0.70) | <.0001 | 23,363 | 0.84 (0.79–0.90) | <.0001 |
US Born-Latino | 16,105 | 0.89 (0.85–0.93) | <.0001 | 7502 | 0.79 (0.73–0.84) | <.0001 | 8603 | 0.94 (0.86–1.02) | 0.14 |
Mexican Born-Latino | 13,788 | 0.61 (0.58–0.64) | <.0001 | 6332 | 0.73 (0.67–0.78) | <.0001 | 7456 | 0.98 (0.89–1.07) | 0.59 |
Malea | 62,005 | 1.94 (1.89–1.99) | <.0001 | – | <.0001 | – | <.0001 | ||
65 years and older | 74,606 | 1.38 (1.35–1.41) | <.0001 | 32,949 | 1.61 (1.56–1.67) | <.0001 | 41,657 | 0.72 (0.68–0.75) | <.0001 |
Some vs. no college | 80,922 | 1.47 (1.43–1.51) | <.0001 | 38,031 | 1.36 (1.31–1.42) | <.0001 | 42,891 | 1.34 (1.27–1.40) | <.0001 |
Current vs. past/never smoker | 20,557 | 0.72 (0.70–0.75) | <.0001 | 10,194 | 0.65 (0.62–0.68) | <.0001 | 10,363 | 0.69 (0.65–0.73) | <.0001 |
Body mass index (kg/m2) | |||||||||
Underweight (<18.5) | 2378 | 0.93 (0.85–1.02) | 0.14 | 345 | 0.89 (0.71–1.12) | 0.31 | 2033 | 0.73 (0.64–0.82) | <.0001 |
Normal (18.5–24.9) | 56,271 | 1.00 (ref) | 21,803 | 1.00 (ref) | 34,468 | 1.00 (ref) | |||
Overweight (25–29.9) | 53,396 | 0.99 (0.96–1.02) | 0.41 | 29,035 | 0.98 (0.94–1.02) | 0.25 | 24,361 | 1.02 (0.97–1.08) | 0.47 |
Obese (≥30) | 26,892 | 0.91 (0.88–0.94) | <.0001 | 10,503 | 0.86 (0.82–0.91) | <.0001 | 16,389 | 0.95 (0.89–1.01) | 0.09 |
Located in Hawaii | 71,785 | 1.07 (1.03–1.11) | <.0001 | 34,040 | 0.80 (0.76–0.84) | <.0001 | 40,648 | 1.25 (1.17–1.33) | <.0001 |
Personal screening history | 96,313 | 2.92 (2.83–3.00) | <.0001 | 23,227 | 2.97 (2.87–3.08) | <.0001 | 25,552 | 3.04 (2.86–3.22) | <.0001 |
Comorbidityb | 76,985 | 1.16 (1.13–1.19) | <.0001 | 37,617 | 1.28 (1.24–1.33) | <.0001 | 39,368 | 1.61 (1.53–1.68) | <.0001 |
Family history of cancer | |||||||||
Polyps | 5909 | 2.01 (1.90–2.12) | <.0001 | – | – | ||||
Colorectal cancer | 12,451 | 1.90 (1.83–1.98) | <.0001 | – | – | ||||
Prostate cancer | – | 4304 | 1.79 (1.68–1.92) | <.0001 | – | ||||
Breast cancer | – | – | 8786 | 1.45 (1.34–1.57) | <.0001 |
Regression by gender is not available for these screenings as PSA applies only to males and mammogram only to females.
Comorbidity included the following: angina, diabetes, heart disease, and high blood pressure.
Men reported a higher prevalence of colonoscopy (38%) than women (33%), and the interaction term between sex and ethnicity was highly significant (Table 3). When stratified by ethnicity, Native Hawaiians showed the largest sex difference (OR = 2.45, 95% CI = 2.18–2.77), but the odds were also 57–200% higher among men in the other ethnic groups. For all screening modalities, ethnicity significantly interacted with personal screening history (colonoscopy and mammogram: p < 0.0001, PSA: p = 0.002), and the risk estimates were highest for African Americans and Native Hawaiians. Ethnicity also significantly interacted with comorbidity for colonoscopy (p = 0.01) and mammography (p = 0.0003). Only for PSA testing, ethnicity interacted with family history (p = 0.02); the associations were weak for all ethnic groups except African Americans (OR = 2.09, 95%CI = 1.73–2.54) and US born-Latinos (OR = 2.10, 95%CI = 1.74–2.53).
Table 3.
White | African American | Native Hawaiian | Japanese American | US born-Latino | Mexican born-Latino | P-valuec | |
---|---|---|---|---|---|---|---|
Colonoscopy | |||||||
Male | 1.81 (1.72–1.91) |
1.57 (1.46–1.68) |
2.45 (2.18–2.77) |
2.03 (1.94–2.13) |
1.66 (1.53–1.79) |
1.61 (1.46–1.77) |
<.0001 |
Personal screening history | 2.54 (2.40–2.69) |
3.14 (2.89–3.41) |
3.30 (2.91–3.74) |
2.94 (2.79–3.10) |
2.54 (2.33–2.77) |
2.85 (2.55–3.17) |
<.0001 |
Comorbidityb | 1.69 (1.61–1.78) |
1.34 (1.25–1.43) |
1.68 (1.52–1.87) |
1.64 (1.57–1.72) |
1.36 (1.26–1.46) |
1.46 (1.34–1.60) |
0.01 |
Family history of polyps | 1.85 (1.67–2.05) |
2.36 (1.97–2.82) |
2.15 (1.70–2.71) |
1.95 (1.79–2.12) |
1.88 (1.56–2.26) |
2.13 (1.56–2.91) |
0.21 |
Family history of colorectal cancer | 2.01 (1.86–2.17) |
1.66 (1.50–1.84) |
1.73 (1.47–2.05) |
1.92 (1.81–2.05) |
1.92 (1.70–2.18) |
1.81 (1.47–2.24) |
0.12 |
PSA | |||||||
Personal screening history | 2.67 (2.50–2.86) |
3.17 (2.84–3.53) |
3.38 (2.92–3.92) |
2.88 (2.71–3.06) |
2.48 (2.24–2.74) |
2.78 (2.45–3.15) |
0.002 |
Comorbidityb | 1.82 (1.70–1.96) |
1.75 (1.56–1.97) |
1.52 (1.31–1.78) |
1.72 (1.61–1.83) |
1.92 (1.73–2.13) |
1.94 (1.74–2.16) |
0.77 |
Family history of prostate cancer | 1.61 (1.43–1.82) |
2.09 (1.73–2.54) |
1.78 (1.33–2.38) |
1.84 (1.63–2.08) |
2.10 (1.74–2.53) |
1.30 (1.01–1.68) |
0.02 |
Mammography | |||||||
Personal screening history | 2.37 (2.11–2.66) |
3.03 (2.66–3.45) |
3.22 (2.51–4.13) |
3.54 (3.16–3.95) |
2.74 (2.31–3.26) |
3.04 (2.43–3.78) |
<.0001 |
Comorbidityb | 1.32 (1.19–1.47) |
1.64 (1.47–1.82) |
1.95 (1.67–2.29) |
1.66 (1.53–1.81) |
1.50 (1.32–1.71) |
1.61 (1.40–1.85) |
0.0003 |
Family history of breast cancer | 1.68 (1.42–1.99) |
1.16 (0.98–1.37) |
1.52 (1.20–1.93) |
1.48 (1.28–1.72) |
1.40 (1.12–1.75) |
1.62 (1.17–2.25) |
0.06 |
Logistic regression models adjusted for gender, age at follow-up, education, smoking status, BMI, and region, history of other cancer screening, comorbidity, and family history of cancer when appropriate.
Comorbidity included the following: angina, diabetes, heart disease, and high blood pressure.
P-value for interaction between ethnicity and independent variable obtained by logistic regression.
4. Discussion
This study examined colonoscopy, PSA, and mammography screening prevalences within the MEC to determine ethnic differences and predictors of screening participation in a multiethnic population. Mammography screening was high among women at 88% and PSA screening was reported by 45% of men, while only 35% of participants reported a colonoscopy. More men than women reported a colonoscopy, and screening use varied by ethnicity with the lowest rates among Mexican born-Latinos and Native Hawaiians. Personal screening history, comorbidity, and family history of cancer predicted higher screening participation across modalities but not to the same degree across ethnic groups.
Although the data for these analyses were collected in the late 1990s, the ethnic differences and the major predictors remain relevant today. A comparison of the American Cancer Society screening recommendations in 1991 and 2010 show a small change in sigmoidoscopy recommendations (3–5 years compared to every 5 years), the addition of a colonoscopy recommendation, the same mammogram recommendation (annual for women over 50), and similar PSA recommendations (no recommendation compared to guidance on informed decision making) [2,3].
We found that all ethnic groups had lower screening prevalences compared with whites, but in contrast to previous reports screening participation was relatively high for African Americans [8,9,12,13]. The primary finding was the low screening use among Mexican born-Latinos and Native Hawaiians. Two past studies, one based on Q × 1 and one on Q × 2, assessed the prevalence of annual and biennial mammography in the MEC and found a lower frequency of regular use among African Americans, Latinas, and Native Hawaiian women [27,28]. The lower screening use among Native Hawaiians in the current report is of particular concern given their high incidence rates for breast cancer [29] and their high percentage of late stage diagnosis for colorectal (55%), prostate (10%), and breast (37%) cancer [29].
Access to a physician and having a physician recommend screenings are important predictors of screening behavior [8,9,12,13,22]. Due to age and insurance laws in Hawaii, our population most likely had access to health care. However, our questionnaire did not ask about physician recommendations; instead, we used the presence of comorbidities that would potentially increase an individual’s likelihood of visiting a physician (i.e., history of angina, diabetes, hypertension, heart disease) as a proxy measure. When stratified by ethnicity, the influence of comorbidity was positive for all ethnic groups across screening modalities, which is similar to past studies although these have looked primarily at PSA screening [12,13]. In this study, the influence was lowest for white women and mammography followed by colonoscopy and African Americans. Perceptions of cancer risk may be lower among African Americans and other ethnic minority groups [30]. Discussion of risk by a physician and awareness of one’s family history of cancer may raise awareness related to personal risk and increase screening [30,31].
Research on the influence of family history of cancer and screening behavior within ethnically diverse populations has been less consistent than would be expected given the connection between family history and personal cancer risk [13,32–36]. We found that participants with a family history of cancer were nearly twice as likely to report screening use, but this association was most pronounced in African Americans and US born-Latinos. This finding is expected for PSA, given the high rates of prostate cancer within African American families; however, past studies have found that African Americans may be less likely to receive a PSA test despite a family history of prostate cancer [13,36]. Also, individuals from ethnic minorities who have a family history of cancer may be less likely to pursue other screening modalities [22,34,36], possibly because there may be less conversation around cancer diagnoses due to cultural stigmas and taboos [15]. Given recommendations that support informed decision making over the general use of PSA testing in the prevention of prostate cancer [37], it is important for individuals and physicians to discuss family history in relation to PSA testing [38]. Our findings support the importance of including family history as part of all cancer screening conversations between family members as well as between patients and physicians.
In addition to physician exposure and family history, our analysis shows that having a history of colonoscopy, PSA, or mammogram was indicative of having another sex-appropriate screening test. This agrees with previous research showing an interactive effect [23,25,39,40]. This was especially true for Japanese American women reporting a mammogram and for African Americans and Native Hawaiians across screening modalities. Higher colonoscopy use in men compared to women was most pronounced among Native Hawaiians. This finding confirms other studies reporting lower colonoscopy rates among women, although reasons for this are not well understood [9,39,41]. For Native Hawaiians, colorectal cancer incidence rates have traditionally been low [29], perhaps impacting perceived risk and the need for screening. Another potential reason for lower prevalences of colonoscopy may be due to the fear of invasiveness or anxiety of the colonoscopy procedure [42,43]. As one possible strategy, it may be effective for physicians to communicate with their patients about all age and gender relevant screenings instead of promoting one particular test at a time.
Limitations of this study include the use of self-reported data to assess screening prevalences. Therefore, a small percentage of reported testing may have been conducted in the context of diagnosis or due to symptoms and not as screening tests. Removing individuals with a previous history of cancer from the analytic sample reduced the potential for diagnostic testing to be included in our reported screening prevalences. A meta-analysis of validation studies found ethnic minority populations may overestimate screening by mammogram and men may underreport screening by PSA, but the validity of results was found to differ by study [44]. Another study of self-reported colorectal cancer screenings found them to be reliable and not influenced by age, ethnicity, sex, or family history when compared to medical records [45]. While fecal occult blood testing has been recommended as a screening test for colorectal cancer [3], use of this test was not asked on the questionnaire and so we are not able to assess its prevalence. On the other hand, a major strength of this report is its population-based design and the inclusion of large samples from ethnically diverse populations completing the same questionnaires. Most studies of screening participation have been conducted with white, African American, and Latino populations [22,25,34,46,47], which are part of the MEC along with Japanese Americans and Native Hawaiians.
The current analysis confirmed higher colonoscopy rates in men than women and the existence of ethnic differences in colonoscopy, PSA, and mammogram screening utilization, particularly among Native Hawaiians and Mexican born-Latinos. The associations of comorbidity, family history of cancer, and personal screening history with higher screening use suggest that it may be useful to include these factors into counseling patients about screening participation.
Acknowledgments
The Multiethnic Cohort Study has been supported by US Public Health Service (National Cancer Institute) grant R37 CA 54281 (PI: L.N. Kolonel) and UM1 CA 164973 (PI: Loic Le Marchand). Drs. Harmon, Little, Woekel, Ettienne, and Long were supported by a postdoctoral fellowship on grant R25 CA 90956. We thank all the participants in the Multiethnic Cohort Study.
Footnotes
Conflict of interest
The authors of this paper have no conflicts of interest to report.
References
- 1.United States Cancer Statistics: 1999–2009 incidence and mortality web-based report [Internet] Available from: http://www.cdc.gov/uscs [accessed 08.05.13]
- 2.Mettlin C, Dodd GD. The American Cancer Society guidelines for the cancer-related checkup: an update. CA Cancer J Clin. 1991;41(5):279–82. doi: 10.3322/canjclin.41.5.279. [DOI] [PubMed] [Google Scholar]
- 3.Smith RA, Cokkinides V, Brooks D, Saslow D, Brawley OW. Cancer screening in the United States 2010: a review of current American Cancer Society guidlines and issues in cancer screening. CA Cancer J Clin. 2010;60(2):99–119. doi: 10.3322/caac.20063. [DOI] [PubMed] [Google Scholar]
- 4.U.S. Department of Health and Human Services, Agency for Healthcare Research and Quality. The Guide to Clinical Preventive Services, 2012: recommendations of the U.S. Preventive Services Task Force. Agency for Healthcare Research and Quality; Oct, 2012. (AHRQ Pub No 12-05154). [Google Scholar]
- 5.American Cancer Society. Cancer facts & figures 2013. Atlanta: American Cancer Society; 2013. [Google Scholar]
- 6.Howlander N, Noone AM, Krapcho M, Garshell J, Neyman N, Altekruse SF, et al. SEER cancer statistics review. Bethesda, MD: National Cancer Institute; 1975–2010. http://seer.cancer.gov/csr/1975_2010/, based on November 2012 SEER data submission, posted to web site on April 2013[accessed 06.4.13] [Google Scholar]
- 7.Richardson LC, Rim SH, Plescia M. Vital signs: colorectal cancer screening among adults aged 50–75 years – United States, 2008. MMMWR Morb Mortal Wkly Rep. 2010;59(26):808–12. [PubMed] [Google Scholar]
- 8.Bellizzi KM, Breslau ES, Burness A, Waldron W. Prevalence of cancer screening in older, racially diverse adults: still screening after all these years. Arch Intern Med. 2011;171(22):2031–7. doi: 10.1001/archinternmed.2011.570. [DOI] [PubMed] [Google Scholar]
- 9.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(20):4872–81. doi: 10.1002/cncr.25215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lee HY, Lundquist M, Ju E, Xianghua L, Townsend A. Colorectal cancer screening disparities in Asian Americans and Pacific Islanders: which groups are most vulnerable? Ethn Health. 2011;16(6):501–18. doi: 10.1080/13557858.2011.575219. [DOI] [PubMed] [Google Scholar]
- 11.Lee HY, Jung Y. Older Korean American men’s prostate cancer screening behavior: the prime role of culture. J Immigr Minor Health. 2013;15:1030–7. doi: 10.1007/s10903-013-9804-x. [DOI] [PubMed] [Google Scholar]
- 12.Hosain GMM, Sanderson M, Du XL, Chan W, Strom SS. Racial/ethnic differences in predictors of PSA screening in a tri-ethnic population. Cent Eur J Public Health. 2011;19(1):30–4. doi: 10.21101/cejph.a3622. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Glenn BA, Bastani R, Maxwell AE, Herrmann AK, Swanson KA, Mojica CM, et al. Prostate cancer screening among ethnically diverse first-degree relatives of prostate cancer cases. Health Psychol. 2012;31(5):562–70. doi: 10.1037/a0028626. [DOI] [PubMed] [Google Scholar]
- 14.Centers for Disease Control and Prevention. Cancer screening – United States, 2010. MMMWR Morb Mortal Wkly Rep. 2012;61(3):41–5. [PubMed] [Google Scholar]
- 15.Kagawa-Singer M, Dadia AV, Yu MC, Surbone A. Cancer, culture, and health disparities: time to chart a new course? CA Cancer J Clin. 2010;60(1):12–39. doi: 10.3322/caac.20051. [DOI] [PubMed] [Google Scholar]
- 16.Justman S. Uninformed consent: mass screening for prostate cancer. Bioethics. 2012;26(3):143–8. doi: 10.1111/j.1467-8519.2010.01826.x. [DOI] [PubMed] [Google Scholar]
- 17.Elshafei A, Moussa AS, Hatem A, Ethan V, Panumatrassamee K, Hernandez AV, et al. Does positive family hisory of prostate cancer increase the risk of prostate cancer on initial prostate biopsy? Urology. 2013;81(4):826–30. doi: 10.1016/j.urology.2012.10.074. [DOI] [PubMed] [Google Scholar]
- 18.Walker MJ, Chiarelli AM, Knight JA, Mirea L, Glendon G, Ritvo P. Perceived risk and adherence to breast cancer screening guidelines among women with a familial history of breast cancer: a review of the literature. Breast. 2013;22(4):395–404. doi: 10.1016/j.breast.2012.12.005. [DOI] [PubMed] [Google Scholar]
- 19.Ross LE, Berkowitz Z, Ekwueme DU. Use of the prostate-specific antigen test among U.S men: findings from the 2005 National Health Interview Survey. Cancer Epidemiol Biomark Prev. 2008;17(3):636–44. doi: 10.1158/1055-9965.EPI-07-2709. [DOI] [PubMed] [Google Scholar]
- 20.Kempe KL, Larson RS, Shetterley S, Wilkinson A. Breast cancer screening for an insured population: whom are we missing? Perm J. 2013;17(1):38–44. doi: 10.7812/TPP/12-068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Kratzke C, Vilchis H, Amatya A. Breast cancer prevention knowledge, attitudes, and behaviors among college women and mother-daughter communication. J Community Health. 2013;8(3):560–8. doi: 10.1007/s10900-013-9651-7. [DOI] [PubMed] [Google Scholar]
- 22.Ponce NA, Tsui J, Knight SJ, Afable-Munsuz A, Ladabaum U, Hiatt RA, et al. Disparities in cancer screening in individuals with a family history of breast or colorectal cancer. Cancer. 2012;118(6):1656–63. doi: 10.1002/cncr.26480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Adams-Campbell LL, Makambi K, Mouton CP, Palmer JR, Rosenberg L. Colonoscopy utilization in black women’s health study. J Natl Med Assoc. 2010;102(3):237–42. doi: 10.1016/s0027-9684(15)30530-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Williams KP, Sheppard VB, Todem D, Mabiso A, Wulu JT, HInes RD. Family matters in mammography screening among African-American women age ≥40. J Natl Med Assoc. 2008;100(5):508–15. doi: 10.1016/s0027-9684(15)31297-9. [DOI] [PubMed] [Google Scholar]
- 25.Griffith KA, McGuire DB, Royak-Schaler R, Plowden KO, Steinberger EK. Influence of family history and preventive health behaviors on colorectal cancer screening in African Americans. Cancer. 2008;113(2):276–85. doi: 10.1002/cncr.23550. [DOI] [PubMed] [Google Scholar]
- 26.Kolonel LN, Henderson BE, Hankin JH, Nomura AM, Wilkens LR, Pike MC, et al. A multiethic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol. 2000;151(4):346–57. doi: 10.1093/oxfordjournals.aje.a010213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Edwards QT, Li AX, Pike MC, Kolonel LN, Ursin G, Henderson BE, et al. Ethnic differences in the use of regular mammography: the multiethnic cohort. Breast Cancer Res Treat. 2009;115(1):163–70. doi: 10.1007/s10549-008-0049-7. [DOI] [PubMed] [Google Scholar]
- 28.Edwards QT, Li A, Pike MC, Kolonel LN, Henderson BE, McKean-Cowdin R. Patterns of regular use of mammography—body weight and ethnicity: the multiethnic cohort. J Am Acad Nurse Pract. 2010;22(3):162–9. doi: 10.1111/j.1745-7599.2009.00488.x. [DOI] [PubMed] [Google Scholar]
- 29.American Cancer Society, Cancer Research Center of Hawai’i, Hawai’i Department of Health. Hawai’i cancer facts & figures 2010. Honolulu: American Cancer Society; 2010. [Google Scholar]
- 30.Orom H, Kiviniemi MT, Underwood W, III, Ross L, Shavers VL. Perceived cancer risk: why is it lower among nonwhites than whites? Cancer Epidemiol Biomark Prev. 2010;19:746–54. doi: 10.1158/1055-9965.EPI-09-1085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Brenes GA, Paskett DE. Predictors of stage of adoption for colorectal cancer screening. Prev Med. 2000;31:410–6. doi: 10.1006/pmed.2000.0729. [DOI] [PubMed] [Google Scholar]
- 32.Courtney RJ, Paul CL, Carey ML, Sanson-Fisher RW, Macrae FA, D’Este C, et al. A population-based cross-sectional study of colorectal cancer screening practices of first-degree relatives of colorectal cancer patients. BMC Cancer. 2013;13(13) doi: 10.1186/1471-2407-13-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ouakrim DA, Boussioutas A, Lockett T, Winship I, Giles GG, Flander LB, et al. Screening practices of unaffected people at familial risk of colorectal cancer. Cancer Prev Res. 2012;5(2):240–7. doi: 10.1158/1940-6207.CAPR-11-0229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Haber G, Ahmed N, Pekovic V. Family history of cancer and its association with breast cancer risk perception and repeat mammography. Am J Public Health. 2012;102(12):2322–9. doi: 10.2105/AJPH.2012.300786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zhang LR, Chiarelli AM, Glendon G, Mirea L, Knight JA, Andrulis IL, et al. Worry is good for breast cancer screening: a study of female relatives from Ontario site of breast cancer family registry. J Cancer Epidemiol. 2012;2012 doi: 10.1155/2012/545062. http://dx.doi.org/10.1155/2012/545062. Article ID 545062, 9 pages. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Drake BF, Lathan CS, Okechukwu CA, Bennett GG. Racial differences in prostate cancer screening by family history. Ann Epidemiol. 2008;18(7):579–83. doi: 10.1016/j.annepidem.2008.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Moyer VA. Screening for prostate cancer: U.S preventive services task force recommendation statement. Ann Intern Med. 2012;157(2):120–34. doi: 10.7326/0003-4819-157-2-201207170-00459. [DOI] [PubMed] [Google Scholar]
- 38.Bowen DJ, Hannon PA, Harris JR, Martin DP. Prostate cancer screening and informed decision-making: provider and patient perspectives. Prostate Cancer Prostatic Dis. 2011;14:155–61. doi: 10.1038/pcan.2010.55. [DOI] [PubMed] [Google Scholar]
- 39.Sinicrope PS, Goode EL, Limburg PJ, Vernon SW, Wick JB, Patten CA, et al. A population-based study of prevalence and adherence trends in average risk colorectal cancer screening, 1997–2008. Cancer Epidemiol Biomark Prev. 2011;12:347–50. doi: 10.1158/1055-9965.EPI-11-0818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wong Y-N, Coups EJ. Correlates of colorectal cancer screening adherence among men who have been screened for prostate cancer. J Cancer Educ. 2011;26:301–7. doi: 10.1007/s13187-011-0194-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.O’Donnell S, Goldstein B, DiMatteo MR, Fox SA, John CR, Obrzut JE. Adherence to mammography and colorectal cancer screening in women 50–80 years of age: the role of psychological distress. Womens Health Issues. 2010;20(5):343–9. doi: 10.1016/j.whi.2010.04.002. [DOI] [PubMed] [Google Scholar]
- 42.Sly JR, Edwards T, Shelton RC, Jandorf L. Identifying barriers to colonoscopy screening for nonadherent African American participants in a patient navigation intervention. Health Educ Behav. 2012;40(4):449–57. doi: 10.1177/1090198112459514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.McLachlan S-A, Clements A, Austoker J. Patients’ experiences and reported barriers to colonoscopy in the screening context—a systematic review of the literature. Patient Educ Couns. 2012;86(2):137–46. doi: 10.1016/j.pec.2011.04.010. [DOI] [PubMed] [Google Scholar]
- 44.Rauscher GH, Johnson TP, Cho YI, Walk JA. Accuracy of self-reported cancer-screening histories: a meta-analysis. Cancer Epidemiol Biomark Prev. 2008;17:748–57. doi: 10.1158/1055-9965.EPI-07-2629. [DOI] [PubMed] [Google Scholar]
- 45.Baier M, Calonge N, Cutter G, McClatchy M, Schoentgen S, Hines S, et al. Validity of self-reported colorectal cancer screening behavior. Cancer Epidemiol Biomark Prev. 2000;9:229–32. [PubMed] [Google Scholar]
- 46.Shavers VL, Underwood IIIW, Moser RP. Race/ethnicity, risk perception, and receipt of prostate-specific antigen testing. J Natl Med Assoc. 2009;101(7):698–704. doi: 10.1016/s0027-9684(15)30979-2. [DOI] [PubMed] [Google Scholar]
- 47.Liang Y, Du F, Thompson IM, Turner BJ. Limited PSA testing in indigent men in south Texas: an appropriate care or missing a prevention opportunity. Cancer Epidemiol Biomark Prev. 2012;21(9):1489–96. doi: 10.1158/1055-9965.EPI-12-0497. [DOI] [PMC free article] [PubMed] [Google Scholar]