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. Author manuscript; available in PMC: 2021 Dec 1.
Published in final edited form as: J Med Screen. 2020 May 11;28(2):108–113. doi: 10.1177/0969141320920900

The ties that bind: Cancer history, communication, and screening intention associations among diverse families

Timiya S Nolan 1, Alai Tan 1, Karen Patricia Williams 1
PMCID: PMC8532169  NIHMSID: NIHMS1746456  PMID: 32393152

Abstract

Objective:

Breast and cervical cancers are screen-detectable; yet, challenges exist with ensuring uptake of mammography and Pap smear. Family, a central factor in developing knowledge to carry out health promotion behaviors, may be an asset to improving intention to screen among non-adherent women from underrepresented minority groups. We explored familial cancer; communication; and breast and cervical screening intention among non-adherent Black, Latina, and Arab women in the United States who participated in a randomized controlled trial of the Kin KeeperSM Cancer Prevention Intervention study. The intervention was a culturally-targeted breast and cervical cancer literacy tool for Black, Latina, and Arab women, consisting of two family-focused education sessions on the cancers, their screening guidelines, and risk-reducing health-related behaviors.

Methods:

For this secondary analysis, we assessed family cancer history, family communication, and screening intention for breast and cervical cancer in age-eligible, non-adherent participants. Descriptive statistics examined sample characteristics of the intervention and control groups. Odds ratios were estimated from logistic regression modeling to assess the intervention and sample characteristic effects on screening intention.

Results:

Of the 516 participants, 123 and 98 were non-adherent to breast and cervical cancer screening, respectively. The intervention (OR = 1.95 for mammography; OR = 1.62 for Pap smear) and highly communicative (OR = 2.57 for mammography; OR = 3.68 for Pap smear) families reported greater screening intention. Family history of cancer only increased screening intention for mammography (OR = 2.25).

Conclusion:

Family-focused approaches supporting communication may increase breast and cervical cancer screening intention among non-adherent, underrepresented minority groups.

Keywords: Cancer, communication, minority, mammography, Pap smear

Introduction

In 2014, in the United States, Black and Latina women accounted for about 20% (46,625) of those diagnosed with breast cancer and 22% (9048) of those who died.1 Black and Latina women accounted for about 30% (3848) of those diagnosed with cervical cancer and 32% (1330) of those who died.1 Due to reporting procedures, there was no indication of the burden of disease among Arab women. Black women, unlike Latinas and Arabs, are slightly more adherent to breast (mammography) and cervical (Pap smear) cancer screening guidelines than Whites.2 Rationale for adherence among Black women comes despite having lower health literacy than Whites.3 Understanding perceptions that lead to screening uptake among underrepresented minority groups may explain this phenomenon and indicate areas to improve reach to women who are non-adherent to breast and cervical cancer screening.

Cancer screening is a health promotion behavior. Similar to the case with Black and Latina women, screening among Arab women is linked to perceptions of cancer, motivation, and barriers.46 The family is a central factor in developing knowledge to carry out health promotion behaviors.79 Families are sources of information, behavioral habits, and genetic predispositions.10 In kind, the established trust among families serves as a resource to reinforce health-based education within the cultural context. Thus, including a family focus in intervention research may improve adherence to recommended breast and cervical screening guidelines.11

Opportunity presents itself to study women and their female family members who have connections to the healthcare system but are non-adherent to breast and cervical screening guidelines. Intention to be screened is a known predictor of screen completion.12 Here, we explore the family history of cancer; communication; and breast and cervical screening intention among non-adherent Black, Latina, and Arab women.

Methods

Data are derived from the Kin KeeperSM Cancer Prevention Intervention trial (described in detail elsewhere).13 This randomized controlled trial tested the culturally targeted Kin KeeperSM intervention designed to improve breast and cervical cancer literacy as well as increase health-related behaviors among Black, Latina, and Arab women. Delivered by community health workers, the intervention utilized the network of primary participants (intervention group or control group) to educate women in at-home group settings in Michigan (N = 516).13 Findings from the parent study indicate that the intervention improved cancer literacy across racial and ethnic groups.14 Baseline data identified associations between family communication, literacy, and perceived health status;15 however, associations with cancer history and such end-points have not been previously examined. Further, explaining associations in non-adherent women informs future research to increase adherence.

For the purpose of this study, we extracted study participants who reported being non-adherent (at baseline) to breast (N = 128) and cervical screening guidelines (N = 98). We examined associations of family communication and family cancer history with future screening intention among study participants. Non-adherence to breast cancer guidelines was defined as women aged 40–74, who had never had a mammogram, or had not had a mammogram within 12 months. Non-adherence to cervical cancer screening guidelines was defined as women aged 21–65, who had never had a Pap smear, or had not had a Pap smear within three years. Definitions for screening non-adherence were based on American Cancer Society and U.S. Preventive Services Task Force (USPSTF) recommendations of 2002, which were up-to-date at the time of study design.1618 The following describes measures used in this analysis.

Sociodemographic questionnaire

A 56-item sociodemographic questionnaire allowed participants to self-report their descriptive information (e.g. age, race/ethnicity, health status, screening behavior, family history of cancer, and insurance).

Family Adaptability and Cohesion Scale

The FACES IV assessed six scales of family cohesion (disengaged to enmeshed with family involvement) and flexibility dimensions (rigid to chaotic in managing familial problems) which are central to family communication and satisfaction in the Circumplex Model of Marital and Family Systems.19,20 We calculated the total ratio score, then dichotomized the score into a high or low variable. High scores indicated a high level of self-reported communication between family members. FACES IV has high internal consistency (Cronbach α = .77–.89).21

Screening intention

The Action Plan assessed participant’s self-reported goals or intent to access breast and cervical cancer screening. The intent to screen was indicated by answering “yes” to any of the following responses: (1) plan to find a healthcare provider to do first-ever screening; (2) schedule first-ever screening; or (3) continue getting yearly screening within twelve months. Screening refers to mammogram for breast cancer screening and Pap smear for cervical cancer screening.

Analysis

Descriptive statistics were used to summarize sample characteristics for non-adherent women, stratified by group (intervention vs. control). We calculated the proportion of women who had intent to screen in 12 months by intervention and sample characteristics. Unadjusted odds ratios and adjusted odds ratios were estimated from logistic regression modeling to examine the effect of intervention and sample characteristics on the future intent to screen. Each factor was entered into the model separately in unadjusted analyses. In adjusted analysis, all factors were included as predictors simultaneously in a multiple logistic regression model to examine the effects, adjusting for other factors in the model. We used effect sizes to guide the interpretation of odds ratios (ORs) from the logistic regression models, using OR = 1.68, 3.47, and 6.71 (or OR = 0.60, 0.28, and 0.15 for ORs less than one) as cutoffs for small, medium, and large effect sizes.22 All tests were two-sided with a significance level of 0.05 and were conducted using SAS version 9.4.23

Results

Of the 516 Kin KeeperSM trial participants, 123 (Black – 39.0%; Latina – 15.4%; Arab – 45.5%) reported non-adherence to the published guideline for mammography (yearly after age 40) and 98 (Black – 26.5%; Latina – 16.3%; Arab – 57.1%) reported non-adherence to the guideline for Pap smear (every three years) exams. Table 1 summarizes the sample characteristics. For mammography, we found that the intervention group was younger (p = 0.033) with a trend for higher likelihood of being un-partnered (p = 0.097), employed (p = 0.069), and insured (p = 0.083) than the control group. For Pap smear, the racial/ethnic make-up of the groups showed a marginally significant difference (p = 0.068). Compared to the control group, the intervention group had more African Americans (33.8% vs. 12.1%) and fewer Arab Americans (50.8% vs. 69.7%).

Table 1.

Sample characteristics: mammography group (N = 123); Pap smear group (N = 98).

Characteristics Mammography group Characteristics Pap smear group
N (%) N (%)
Intervention Control p a Intervention Control p a
All 71 (100.0) 52 (100.0) All 65 (100.0) 33 (100.0)
Age 0.033 Age
 40–49 44 (62.0) 25 (48.1)  21–39 32 (49.2) 18 (54.5) 0.679
 50–64 25 (35.2) 20 (38.5)  40–49 17 (26.2) 6 (18.2)
 65–74 2 (2.8) 7 (13.5)  50–64 16 (24.6) 9 (27.3)
Race/ethnicity 0.246 Race/ethnicity
 African American 32 (45.1) 16 (30.8)  African American 22 (33.8) 4 (12.1) 0.068
 Latino/Hispanics 9 (12.7) 10 (19.2)  Latino/Hispanics 10 (15.4) 6 (18.2)
 Arab American 30 (42.3) 26 (50.0)  Arab American 33 (50.8) 23 (69.7)
Marital status 0.097 Marital status
 Married 36 (50.7) 28 (53.8)  Married 29 (44.6) 14 (42.4) 0.334
 Separated/divorced/widowed 15 (21.1) 15 (28.8)  Separated/divorced/widowed 11 (16.9) 10 (30.3)
 Single/never married 20 (28.2) 6 (11.5)  Single/never married 24 (36.9) 8 (24.2)
Education 0.306 Education
 High school or lower 51 (71.8) 40 (76.9)  High school or lower 42 (64.6) 18 (54.5) 0.334
 Some college or higher 20 (28.2) 10 (19.2)  Some college or higher 23 (35.4) 15 (45.5)
Employed 0.069 Employed
 Yes 34 (47.9) 17 (32.7)  Yes 30 (46.2) 19 (57.6) 0.437
 No 34 (47.9) 34 (65.4)  No 31 (47.7) 14 (42.4)
Insured 0.083 Insured
 Yes 40 (56.3) 21 (40.4)  Yes 40 (61.5) 16 (48.5) 0.242
 No 30 (42.3) 30 (57.7)  No 24 (36.9) 16 (48.5)
Family history of cancer 0.457 Family history of cancer 0.252
 Yes 25 (35.2) 15 (28.8)  Yes 20 (30.8) 14 (42.4)
 No 46 (64.8) 37 (71.2)  No 45 (69.2) 19 (57.6)
Family communication 0.730 Family communication 0.831
 Low (FACESIV⩽42) (41.5) (49.7)  Low (FACESIV⩽42) 32 (49.2) 17 (51.5)
 High (FACESIV>42) (58.5) (49.7)  High (FACESIV>42) 33 (50.8) 16 (48.5)
Last mammogram 0.198 Last Pap smear 0.135
 Ever, but > 12 months 34 (47.9) 31 (59.6)  Ever, but >3 years 34 (52.3) 12 (36.4)
 Never 37 (52.1) 21 (40.4)  Never 31 (47.7) 21 (63.6)
a

Chi-square tests were used to test the difference between intervention and control in sample characteristics.

Bolded p-values indicate a significant finding that is < 0.05.

A vast majority of the women had intent to receive the screening within 12 months (87.8% for mammography; 90.8% for Pap smear). Table 2 shows the unadjusted and adjusted effects of the Kin KeeperSM trial intervention and sample characteristics of having intent to receive mammography and Pap smear screening. After adjusting for potential confounders (age, race/ethnicity, marital status, education, employment, and insurance), multiple logistic regression analyses revealed that women who received the Kin KeeperSM intervention (OR = 1.95 for mammography; OR = 1.62 for Pap smear) and women in highly communicative families (OR = 2.57 for mammography; OR = 3.68 for Pap smear) reported greater screening intention. Lower education (OR = 1.86 for mammography; OR = 6.75 for Pap smear for ⩽ high school vs. higher education ⩾ some college) and older age were associated with higher likelihood of having screening intention as well. Being employed and having insurance were associated with less likelihood of intent to screen for mammography (OR = 0.35 and 0.19, respectively) in 12 months, but were not associated with intent to screen for Pap smear in 12 months (OR = 1.27 and 0.89, respectively). Family history of cancer increased screening intention for mammography (OR = 2.25); however, family history was not associated with screening intention for Pap smear (OR = 0.92). Women who had a history of mammography or Pap smear screening had lower intent to screen (OR = 0.67 for mammography; OR = 0.20 for Pap smear) compared to those who had never received screening before.

Table 2.

Effects on screening intention: mammography within 12 months (N = 123); Pap smear within three years (N = 98).

Variables Plan for mammography Variables Plan for Pap smear
% OR (95% CI)b % OR (95% CI)b
All 87.8 All 90.8
Intervention Intervention
 Kin keeper 88.7 1.95 (0.43, 8.88)  Kin keeper 92.3 1.62 (0.25, 10.67)
 Control 86.5 Ref  Control 87.9 Ref
Age Age
 40–49 88.4 Ref  21–39 84.0 Ref
 50–64 86.7 1.28 (0.27, 6.11)  40–49 95.7 33.57 (1.17, 961.34)
 65–74 88.9 2.37 (0.14, 39.37)  50–64 100 a
Marital status Marital status
 Married 90.6 3.43 (0.46, 25.72)  Married 90.7 0.24 (0.02, 2.61)
 Separated/divorced/widowed 86.7 1.64 (0.25, 10.75)  Separated/divorced/widowed 95.2 1.29 (0.09, 19.16)
 Single/never married 80.8 Ref  Single/never married 87.5 Ref
Education Education
 High school or lower 87.9 1.86 (0.33, 10.34)  High school or lower 96.7 6.75 (0.73, 62.14)
 Some college or higher 86.7 Ref  Some college or higher 81.6 Ref
Family history of cancer Family history of cancer
 Yes 85.5 2.25 (0.39, 12.90)  Yes 91.2 0.92 (0.10, 8.21)
 No 82.5 Ref  No 90.6 Ref
Family communication Family communication
 Low (FACESIV⩽42) 85.9 Ref  Low (FACESIV⩽42) 89.8 Ref
 High (FACESIV>42) 89.8 2.57 (0.58, 11.37)  High (FACESIV>42) 91.8 3.68 (0.49, 27.82)
Last mammogram Last Pap smear
 Ever, but > 12 months 89.2 0.67 (0.15, 2.92)  Ever, but >3 years 91.3 0.20 (0.01, 2.64)
 Never 86.2 Ref  Never 90.4 Ref
a

Due to the fact that 100% of the women in the category planned for Pap smear in three years, the estimated OR > 999.99 (95% CI: <0.001, >999.99).

b

Multiple logistic regression model was adjusted for other variables in the table.

Bolded p-values indicate a significant finding that is <0.05.

Discussion

The presentation of breast and cervical cancer continues to disproportionately affect women of color in the United States, despite their screening behaviors. Arab women, who are most often classified as White, have been medically underserved based on their socioeconomic and immigration status. They accounted for half of those who reported being non-adherent to breast or cervical cancer screening. Arab women remain a community that is underrepresented in research and clinical care. Use of community health workers, and/or a member of the family, can encourage participation in research and create access to cancer education that may improve screening intention.15,24 Further, cultural barriers for timely initiation of cancer screening may be averted with increased education.

With the use of our extensive sociodemographic questionnaire, we captured data on family history of cancer and encouraged women to discuss this history among themselves. Family history of cancer was significant for intent for mammography screening in this study. This finding aligned with that from our previous study,9 which demonstrated that having a family history of cancer was motivational for mammography screening in Black women. However, our study found no significance between family history of cancer and Pap screening intent, contrary to the results of our query of the 2000 National Health Interview.25 This may be related to low health literacy on the intent for Pap smear screens to identify cervical cancer, which may be related to the lower incidence of cervical cancer in comparison to that of breast cancer. In a multiethnic study (including Blacks and Latinas), familial cancer history increased the odds of getting screened.26 This study offers a plausible argument that family communication is associated with screening intention, which may also be true of other women outside of the United States who share heritage and culture with women from these racial and ethnic groups.

As illustrated here, facilitating family communication can improve screening intention. While mass multimedia messaging is an effective and easily disseminated way to promote healthful behaviors like cancer screening, this raises questions about who is receiving the messaging as intended and do they have trouble understanding guidelines or risk.27,28 Capitalizing on family communication of normative cancer screening behaviors has been associated with follow-through in Black and Latina women.5,29,30 This communication offers opportunities to clarify facts related to screening and serves as a reminder to get screened.31

Quality communication of family health information is critical to leverage healthy behaviors within the home. Communication may be affected by any number of factors. Notably, the more extensive study of these diverse women identified marital status, family composition, and status of health as predictors of communication.15 One must also consider how families establish routines for healthful behaviors. Many studies have pointed to education as being directly related to establishing healthy behaviors like having cancer prevention screening.26,3234 However, we found that those with lower educational attainment had higher intention for breast and cervical cancer screening. This chance finding warrants further investigation.

Limitations

This study was a secondary analysis of previously collected data. As such, the self-reported data on intention do not indicate whether or not participants followed through with either screening modality. We also acknowledge that the relatively small sample size of the study resulted in less precise estimates as indicated by the wide confidence intervals and higher likelihood of Type-II error (or, failure to detect true significant findings).

Conclusion

Regardless of the racial or ethnic group, family serves as a positive vehicle to deliver health promotion messages. It presents a trusted environment to communicate complicated topics. Family-focused approaches supporting communication may increase breast and cervical cancer screening intention among non-adherent, underrepresented minority groups. Further work is needed to understand how bolstering family communication can be used to increase cancer prevention screening, particularly among those who have elevated risk of developing cancer due to familial history. Research is also needed to understand the role of general education in cancer prevention screening intention.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was funded in part by the National Institutes of Health National Institute of Nursing Research 5R01NR011323-05.

Footnotes

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

References

  • 1.U.S. Cancer Statistics Working Group. United States cancer statistics: 1999–2014 incidence and mortality web-based report. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute, www.cdc.gov/uscs (2017, accessed 9 April 2020). [Google Scholar]
  • 2.Narayan A, Fischer A, Zhang Z, et al. Nationwide cross-sectional adherence to mammography screening guidelines: national behavioral risk factor surveil-lance system survey results. Breast Cancer Res Treat 2017; 164: 719–725. [DOI] [PubMed] [Google Scholar]
  • 3.Brandzel S, Chang E, Tuzzio L, et al. Latina and Black/African American women’s perspectives on cancer screening and cancer screening reminders. J Racial Ethn Health Disparities 2017; 4(5): 1000–1008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Schwartz K, Fakhouri M, Bartoces M, et al. Mammography screening among Arab American women in metropolitan Detroit. J Immigr Minor Health 2008; 10: 541–549. [DOI] [PubMed] [Google Scholar]
  • 5.Stewart SL, Rakowski W and Pasick RJ. Behavioral constructs and mammography in five ethnic groups. Health Educ Behav 2009; 36: 36s–54s. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Matin M and LeBaron S. Attitudes toward cervical cancer screening among Muslim women: a pilot study. Women Health 2004; 39: 63–77. [DOI] [PubMed] [Google Scholar]
  • 7.Pasick RJ, Barker JC, Otero-Sabogal R, et al. Intention, subjective norms, and cancer screening in the context of relational culture. Health Educ Behav 2009; 36: 91s–110s. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Sinicrope PS, Brockman TA, Patten CA, et al. Factors associated with breast cancer prevention communication between mothers and daughters. J Womens Health (Larchmt) 2008; 17: 1017–1023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Williams KP, Sheppard VB, Todem, et al. Family matters in mammography screening among African-American women age > 40. J Natl Med Assoc 2008; 100: 508–515. [DOI] [PubMed] [Google Scholar]
  • 10.Gesink D, Filsinger B, Mihic A, et al. Cancer screening barriers and facilitators for under and never screened populations: A mixed methods study. Cancer Epidemiol 2016; 45: 126–134. [DOI] [PubMed] [Google Scholar]
  • 11.Smith RA, Andrews KS, Brooks D, et al. Cancer screening in the United States, 2017: a review of current American Cancer Society guidelines and current issues in cancer screening. CA Cancer J Clin 2017; 67: 100–121. [DOI] [PubMed] [Google Scholar]
  • 12.Mandelblatt J, Traxler M, Lakin P, et al. Targeting breast and cervical cancer screening to elderly poor black women: who will participate? The Harlem Study Team. Prev Med 1993; 22: 20–33. [DOI] [PubMed] [Google Scholar]
  • 13.Williams KP, Roman LA, Meghea CI, et al. Kin KeeperSM: design and baseline characteristics of a community-based randomized controlled trial promoting cancer screening in Black, Latina, and Arab women. Contemp Clin Trials 2013; 34: 312–319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Williams KP, Mabiso A, Todem D, et al. Differences in knowledge of breast cancer screening among African American, Arab American, and Latina women. Prev Chronic Dis. 2011; 8: A20. [PMC free article] [PubMed] [Google Scholar]
  • 15.Zambrana RE, Meghea C, Talley C, et al. Association between family communication and health literacy among underserved racial/ethnic women. J Health Care Poor Underserved 2015; 26: 391–405. doi: 10.1353/hpu.2015.0034. [DOI] [PubMed] [Google Scholar]
  • 16.Humphrey LL, Helfand M, Chan BK, et al. Breast cancer screening: a summary of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med 2002; 137: 347–360. [DOI] [PubMed] [Google Scholar]
  • 17.Saslow D, Runowicz CD, Solomon D, et al. American Cancer Society guideline for the early detection of cervical neoplasia and cancer. CA Cancer J Clin 2002; 52: 342–362. [DOI] [PubMed] [Google Scholar]
  • 18.Smith RA, Saslow D, Sawyer KA, et al. American Cancer Society guidelines for breast cancer screening: update 2003. CA Cancer J Clin 2003; 53: 141–169. [DOI] [PubMed] [Google Scholar]
  • 19.Olson D and Gorall D. Circumplex model of marital and family system. 3rd ed. New York, NY: Guilford Publications Inc., 2003. [Google Scholar]
  • 20.Olson DH. Circumplex model of marital and family systems. J Fam Ther 2000; 22: 144–167. [DOI] [PubMed] [Google Scholar]
  • 21.Olson D FACES IV and the circumplex model: validation study. J Marital Fam Ther 2011; 37: 64–80. [DOI] [PubMed] [Google Scholar]
  • 22.Chen H, Cohen P and Chen S. How big is a big odds ratio? Interpreting the magnitudes of odds ratios in epidemiological studies. Commun Stat – Simul Comput 2010; 39: 860–864. [Google Scholar]
  • 23.SAS Institute®, Cary, NC. [Google Scholar]
  • 24.Mbah O, Ford JG, Qiu M, et al. Mobilizing social support networks to improve cancer screening: the COACH randomized controlled trial study design. BMC Cancer 2015; 15: 907. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kasting ML, Wilson S, Zollinger TW, et al. Differences in cervical cancer screening knowledge, practices, and beliefs: An examination of survey responses. Prev Med Rep 2017; 5: 169–174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Harmon BE, Little MA, Woekel ED, et al. Ethnic differences and predictors of colonoscopy, prostate-specific antigen, and mammography screening participation in the multiethnic cohort. Cancer Epidemiol 2014; 38: 162–167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hall IJ, Rim SH, Johnson-Turbes C, et al. The African American women and mass media campaign: a CDC Breast Cancer Screening Project. J Womens Health (Larchmt) 2012; 21: 1107–1113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Passmore SR, Williams-Parry KF, Casper E, et al. Message received: African American women and breast cancer screening. Health Promot Pract 2017; 18: 726–733. [DOI] [PubMed] [Google Scholar]
  • 29.Klassen AC and Washington C. How does social integration influence breast cancer control among urban African-American women? Results from a cross-sectional survey. BMC Womens Health. 2008; 8: 4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Molina Y, Ornelas IJ, Doty SL, et al. Family/friend recommendations and mammography intentions: the roles of perceived mammography norms and support. Health Educ Res 2015; 30: 797–809. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.McQueen A, Kreuter MW, Kalesan B, et al. Understanding narrative effects: The impact of breast cancer survivor stories on message processing, attitudes, and beliefs among African American women. Health Psychol 2011; 30: 674–682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Hirth JM, Laz TH, Rahman M, et al. Racial/ethnic differences affecting adherence to cancer screening guidelines among women. J Womens Health (Larchmt) 2016; 25: 371–380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.White A, Thompson TD, White MC, et al. Cancer screening test use – United States, 2015. MMWR Morb Mortal Wkly Rep 2017; 66: 201–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Perez LG, Elder JP, Haughton J, et al. Socio-demographic moderators of associations between psychological factors and Latinas’ breast cancer screening behaviors. J Immigr Minor Health 2018; 20: 823–830. [DOI] [PMC free article] [PubMed] [Google Scholar]

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