Validating the Group-Based Medical Mistrust Scale with English and Spanish Speaking Latino Parents of Adolescents
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* Bibiana Martinez
* Jimi Huh
* Jennifer Tsui

## Abstract

*Background:* Medical mistrust can be a barrier to health care utilization. While the Group-Based Medical Mistrust Scale (GBMMS) has been validated among diverse populations, we know little about its psychometric performance among English-Speaking (ES) and Spanish-Speaking (SS) Latinos. We aim to examine the factor structure of GBMMS among Latino parents and explore whether scale latent factor structures would be different across preferred languages.

*Methods:* Parents of adolescents participating in an urban academic enrichment program for low-income students completed an online survey as part of a cross-sectional study about Human Papillomavirus (HPV) prevention. We tested the validity of the GBMMS in ES and SS respondents and performed exploratory factor analysis to identify latent factors. We examined scale scores, item means, item endorsement, and residual variance across language groups.

*Results:* 2-factor latent structure was identified for both ES and SS groups; factors were labeled as ‘Suspicion’ and ‘System-wide discrimination.’ Scale validity was better among SS (α = 0.76). Medical mistrust scores did not vary across language groups, but variation emerged in item endorsement by language.

*Discussion:* Our results suggest that the factor structures of the medical mistrust construct, measured by the GBMMS, are similar across ES and SS Latinos and that the GBMMS is valid for both populations. High factor pattern loading reflects a shared mistrust of how health care systems view and treat people of their racial/ethnic background, independent of their preferred languages. Measurement of medical mistrust and identifying its underlying causes are needed within diverse populations to fully address structural- and community-level influences on health inequities.

*   Cancer
*   Cross-Sectional Studies
*   Group Based Medical Mistrust Scale
*   Health Behavior
*   Health Inequities
*   Hispanic or Latino
*   Minority Health
*   Parents
*   Patient Acceptance of Health Care
*   Statistical Factor Analysis
*   Trust

## Background

Thompson and colleagues defined medical mistrust as “a tendency to distrust medical systems and personnel believed to represent the dominant culture”.1 Medical mistrust has been identified as a barrier to health care utilization among minority populations. Along with logistic barriers to care, medical mistrust has been found to affect health care decision-making and lead to lower Human Papillomavirus (HPV) vaccine uptake,2 coronavirus disease of 2019 (COVID-19) vaccine acceptance,3,4 HIV care,5,6 and utilization of cancer screening7,8 and treatment services9,10 among racial and ethnic minority groups in particular. As such, it is important that we understand how we can best measure medical mistrust as a construct to assess its impact on health-seeking behavior in racial/ethnic minority populations as we work to improve the uptake of preventive health services in vulnerable and underserved communities.

Thompson and colleagues developed the Group-Based Medical Mistrust Scale (GBMMS) to assess medical mistrust among Black and Latina women seeking mammography services1 in New York City. The scale has since been used extensively11 to examine relationships between medical mistrust and pediatric emergency services among English- and Spanish-speaking urban parents and caregivers,12 cervical cancer screening among rural women,13 breast cancer screening in Arab-American women,14 and HIV medication adherence in African-Americans.15 The scale has been validated among Black and Hispanic/Latino young adults,16 Black urban men,17 formerly incarcerated Black and Hispanic/Latino men,18 and ethnically diverse adults and adolescents.19 However, no studies to date have formally assessed medical mistrust constructs among Hispanic/Latino populations concerning their preferred language use.20

The history of Hispanics/Latinos as an ethnic group in the United States is markedly different from that of African-Americans, for whom most medical mistrust measures have been developed.11 A history of abusive research and medical practices, culminating in the Tuskegee Syphilis Study, has led to a legacy of entrenched suspicion and skepticism of the medical system within the African American community.21⇓–23 Hispanics/Latinos in the United States are a heterogeneous group, and all may not share this legacy equally. At the same time, experiences of discrimination have been associated with medical mistrust among Hispanics/Latinos24; some analyses suggest that this relationship varies by socioeconomic status and place of residence.25 In addition, Hispanics/Latinos living in Latin America report positive and trusting attitudes toward health care providers, suggesting that recent Hispanic/Latino immigrants may have a history of positive experiences with health care systems in their countries of origin.26 While the GBMMS has been validated among various Hispanic/Latino samples, different latent factor structures (ie, “Discrimination” and “Suspicion”)18 and item factor loadings have emerged,16 signaling that the scale may perform differently in Hispanics/Latinos and African-Americans. Furthermore, medical mistrust may operate differently between English-speaking (ES) and Spanish-speaking (SS) Hispanics/Latinos. While these 2 groups are frequently combined into a single entity, they tend to have different levels of acculturation,27,28 disparate health vulnerabilities,29⇓–31 and diverse health behavior patterns.30,32⇓–34 In addition, there is evidence to suggest that SS Hispanic/Latino parents of adolescent girls are more likely to trust health care professionals than their ES counterparts.35 Currently, there is no agreement on the best way to assess medical mistrust within linguistically diverse Hispanics/Latinos in the United States.

This article aims to examine the psychometric properties of the medical mistrust construct using the GBMMS among a sample of English and Spanish-speaking Hispanic/Latino parents of adolescents within a larger HPV vaccination study. Assessing the validity and reliability of this scale among these 2 groups is a necessary first step in understanding how to best measure medical mistrust and its relation to the utilization of cancer prevention services in these populations. The primary goal of our analysis was to determine whether different factor structures would emerge in our sample compared with those of the original validation sample.1 We also aimed to understand whether different experiences and histories with medical systems would lead to different latent factor structures among ES and SS parents completing the GBMMS. Lastly, we aimed to assess the overall performance of the GBMMS scale in assessing medical mistrust among both of our samples (ES and SS).

## Methods

### Study Sample and Recruitment

Survey data were collected as part of a larger study examining parental knowledge, attitudes, beliefs, and hesitancy related to HPV and uptake of HPV vaccination among children/adolescents. Parents of middle and high school students enrolled in the University of Southern California's (USC) Leslie and William McMorrow Neighborhood Academic Initiative (NAI), an academic enrichment program serving a largely Hispanic/Latino, low-income, first-generation student population in Los Angeles, California, were recruited to participate in an online survey during 2 Saturday morning parent enrichment virtual workshops in March 2021. Study eligibility included being the parent or guardian of an adolescent aged 9–17 years and able to complete the survey in English, Spanish, or Mandarin. During the virtual workshops, eligible parents were asked to complete the online survey in real time. The study was approved by USC's Institutional Review Board.

### Survey Instrument

The survey instrument included questions about HPV vaccination, parent acculturation (using the Brief Acculturation Scale for Hispanics [BASH]36), and sociodemographic information, in addition to the GBMMS. A professional translation company with substantial experience performing translations of health-related questionnaires was contracted to translate the study survey from English into Spanish. The translated Spanish survey was then reviewed and approved by bilingual staff associated with our research community partner (NAI), who have a long history of working with our target population and have an understanding of their cultural and linguistic needs.

### Measures

We used the 12-item GBMMS1 to assess medical mistrust among our study sample (see Table 2 for item list). Each measure has a 5-item Likert-type response scale ranging from 1 (strongly disagree) to 5 (strongly agree), including a neutral response option. Item responses are summed to calculate a scale score ranging from 12 to 60, with higher scores indicating higher medical mistrust. The original psychometric testing of the scale found high reliability with α = 0.83 and identified a 3-factor structure: factor 1) Suspicion, factor 2) Group disparities in health care, and factor 3) Lack of support from health care providers among Black and Latina women seeking mammogram services in East Harlem, New York City.1

View this table:
[Table 1.](http://www.jabfm.org/content/35/2/244/T1)

Table 1. 
Sample Characteristics of English and Spanish-Speaking Hispanic/Latino Parents of Adolescents in Los Angeles, California (n = 264)

### Sociodemographic Characteristics

We assessed age, sex, nativity, acculturation, marital status, education, employment, income, and insurance in the full sample as well as among the ES and SS subgroups. Using c2 and Fishers Exact tests, we also examined whether these characteristics varied by respondent language use.

Participants indicated their self-reported race/ethnicity from a list of racial/ethnic groups: American Indian or Alaska Native; Asian or Asian American; Black or African American; Hispanic/Latinx/Chicanx; Native Hawaiian/Other Pacific; White; or prefer not to answer. Respondents could select multiple responses; all participants that selected Hispanic/Latino as at least one of their choices were included in our sample.

### Statistical Analyses

Using descriptive analyses, we examined the mean and standard deviation of each of the 12 scale items in the ES and SS samples. Following Thompson and colleagues,1 we created a sum of the ‘Agree’ and ‘Strongly agree’ categories to obtain an estimate of the overall endorsement of each item; for items that are positively worded (questions 2, 8, 10, and 11), we summed the ‘Disagree’ and ‘Strongly disagree’ responses. We used Chi-square tests to examine response distribution per language for each survey item.

Scale scores were calculated by creating a sum of all items in the scale (after reverse coding the 4 positively worded items). Paired *t*-tests were used to detect differences in medical mistrust scores among language groups; we selected α = 0.05 as our criteria for statistical significance. Cronbach's alphas were used to determine the scale's reliability in the 2 groups, using 0.8 as the threshold for good reliability.

Exploratory factor analysis (EFA) is a statistical method used to identify the underlying constructs (“factors”) that constitute an observed trait or phenomena and is key to assessing the internal reliability of a questionnaire.37,38 EFA is particularly important for examining changes in the internal reliability of a scale among different groups of people; EFA has previously been used to validate the GBMMS among African-American breast cancer survivors,39 formerly incarcerated Black and Hispanic/Latino men,18 and urban Black men in need of prostate cancer screening.17 We used EFA to identify the latent factor structures of the GBMMS in our 2 language groups. EFA was used instead of confirmatory factor analysis (CFA) because our objective was to identify the factors that emerged from the new GMMS data observed rather than to confirm the relationship between the original 3 factors across the 2 groups.37,38

We used the following criteria to determine factor extraction: eigenvalue greater than 1; factors above the Scree plot break; factors explaining greater than 10% of item variance; factors with at least 3 associated items; and factors that resulted in a simple structure,40 defined as extracted factors having high factor loading for some variables, and near zero for the remaining variables, and having most variables with relatively high factor loading on only 1 factor, and near-zero on others. We considered that an item loaded onto a factor if it had a factor pattern loading greater than 0.4. We anticipated that factors would be highly and positively correlated so that higher ‘Suspicion’ would be associated with higher perceived ‘Group disparities in health care’ and higher ‘Lack of support from health care providers’. In our analysis, appropriate rotation methods were selected to account for intercorrelation between the factors (ie, promax for interrelated factors and varimax for unrelated factors).

There was no data missing from the 12 GBMMS items in both groups, so a complete case analysis was used in all analyses. All analyses were performed using SAS Version 9.

## Results

### Participant Characteristics

Overall, 422 parents completed an online survey. Of the 339 parents who provided information about their race/ethnicity, 264 (75% of the full sample) identified as Hispanic/Latino; of these, 4 identified with more than 1 race/ethnic group. Among these 264 Hispanic/Latino parents, 143 (54%) answered the survey in English and 121 (46%) in Spanish. We used these 2 groups, ES and SS Hispanic/Latino survey participants as our analytic sample. Full information on sample demographics is presented in Table 1.

View this table:
[Table 2.](http://www.jabfm.org/content/35/2/244/T2)

Table 2. 
Means, Standard Deviations, Percent Endorsement, and p-values for 12 Items of the Group-Based Medical Mistrust Scale (GBMMS)

Most participants were aged 41–50 years (46%), married (67%), and the vast majority were women (90%). Nearly 3 quarters of our sample (73%) were not born in the United States, and most reported low acculturation rates, per BASH categorizations36 (69%). More than 3 quarters of the sample had less than a college degree; 50% reported being employed, and 72% had incomes of less than $50,000. Nevertheless, most of the sample had some type of insurance coverage, with 35% reporting access to private insurance and 45% being enrolled in a government insurance program (Medi-Cal, Medicare, or My Health LA).

Differences in sociodemographic characteristics were explored by language use. A much larger proportion of the SS participants were non-US born (*P* < *.01*), and SS also had lower acculturation rates than ES respondents (*P* < *.01*). Overall, SS survey respondents had lower income (*P* < *.01*), less education (*P* < *.01*), and were less likely to be employed (*P* = *.04*) or have private insurance (*P* < *.01*). A higher proportion of ES respondents were divorced, separated, or widowed (*P* = *.02*).

### GBMMS Distributions and Mean Scores

We examined endorsement for each of the 12 items in the GBMMS scale, as well as differences by language in item endorsement. Table 2 provides means, standard deviations, and percent endorsement of each specific item for the full sample and separately by language. Over 20% of endorsement emerged for the following items: “People of my ethnic group receive the same medical care from doctors and health care workers as people from other groups.” (25.0%); “Doctors and health care workers do not take the medical complaints of people of my ethnic group seriously.” (26.1%); “People of my ethnic group are treated the same as people of other groups by doctors and health care workers.” (25.4%); and “In most hospitals, people of different ethnic groups receive the same kind of care.” (24.2%). The remaining items received less than 20% endorsement.

There were different response patterns between ES and SS respondents. ES were more likely than SS to agree with the following items: “People of my ethnic group should not confide in doctors and health care workers because it will be used against them.” (*P* = *.03*); “People of my ethnic group should be suspicious of information from doctors and health care workers.” (*P* = *.01*); “People of my ethnic group cannot trust doctors and health care workers.” (*P* = *.01*)”; and “People of my ethnic group should be suspicious of modern medicine.” (*P* = *.06*). SS respondents were more likely to disagree (given its positive wording) with the following item: “Doctors have the best interests of people of my ethnic group in mind.” (*P* = *.04*).

The GBMMS score for the full Hispanic/Latino sample (n = 264) was 28.06; scale scores were not significantly different between ES and SS groups (27.48 vs 28.74 respectively, *P* = *.26*).

### Exploratory factor Analysis for GBMMS by Language

#### English Sample

Two factors were extracted for English survey respondents (n = 143). Factor 1 had an eigenvalue of 5.54, and it explained 35% of the proportion of the variance of the items, and factor 2 had an eigenvalue of 1.85 and explained 21% of the proportion of the variance. In contrast, the third factor identified had an eigenvalue of 0.82 and explained 7% of the proportion of the variance. An analysis of the Scree plot found 2 factors above the break. The 2 factors were highly negatively correlated (r=-0.39); we, therefore, used an oblique (Promax) rotation. The scale's reliability in this group was α = 0.61, which was lower than the 0.8 threshold established.

Item loadings for both factors are listed in Table 3. Since the majority of items loading onto factor 1 were the same as in the original validation study, the authors decided that ‘Suspicion’ continued to be an appropriate label for this factor. Factor 2 was, for the most part, a combination of the items that had loaded into factors 2 (Disparities in health care) and 3 (Lack of support from health care providers) in the original scale validation, so we assigned the label of ‘System-wide discrimination’ to the second factor. Means, standard deviations, and factor pattern loading for each item in the scale are listed in Table 3.

View this table:
[Table 3.](http://www.jabfm.org/content/35/2/244/T3)

Table 3. 
Factor Pattern Loadings for Group-Based Medical Mistrust Scale (GBMMS) Items

#### Spanish Sample

Similar to our English-preferred sample, 2 factors were also extracted from the Spanish-speaking sample (n = 121): factor 1 had an eigenvalue of 4.24 and explained 46% of the item variance, and factor 2 had an eigenvalue of 2.58 and explained 15% of the item variance. In comparison, the third factor identified had an eigenvalue of 0.88, explained 6% of the item variance, and was therefore not extracted. The Scree plot showed a break starting after factor 2, confirming the scale's 2-factor structure in this sample.

Factor 1 was associated with the same items as in the English sample, with the addition of items 9 and 12; however, after discussions involving all 3 authors, it was decided that ‘Suspicion’ was still an appropriate label for this factor since both items express experiences of mistrust emerging from negative interactions with the health care system due to ethnic identification: “Doctors and health care workers do not take the medical complaints of people of my ethnic group seriously.” (Item 9), and “I have personally been treated poorly or unfairly by doctors or health care workers because of my ethnicity.” (Item 12). Factor 2 includes all items as in the English sample except for Item 9, so we retained the label of ‘System-wide discrimination’ for the Spanish sample as well.

The 2 factors had very low negative correlation (r=-0.08), so an orthogonal (Varimax) rotation was used. While slightly below the preset threshold of 0.8 to determine reliability, the scale performed better in the Spanish sample than in the English sample, with α = 0.76. Information on means, standard deviation, and factor pattern loading for each item is in Table 3.

### Factor Structure

Diverging from the findings of the original GBMMS validation study,1 we found that a 3-factor structure for the GBMMS (factor 1: Suspicion; factor 2: Group disparities in health care; and factor 3: Lack of support from health care providers) did not fit our ES or SS samples. Instead, a 2-factor structure was identified (factor 1: Suspicion; factor 2: System-wide discrimination), and we found that the same structure fit both samples equally. We found that most of the same items loaded into the ‘Suspicion’ factor as in the original study. However, the items associated with ‘Group disparities in health care’ and ‘Lack of support from health care providers’ seem combined in our samples into a new factor that we are calling ‘System-wide discrimination’. This is especially true if we put aside items 9 and 12, which had low and problematic loading in the original validation study.

## Discussion

In our study of English and Spanish-speaking Hispanic/Latino parents in Los Angeles, we examined the psychometric properties of the GBMMS in these groups. Overall, we found that mean scores for medical mistrust were low, which aligns with previous work using this scale to assess medical mistrust among Hispanics/Latinos,41,42 and found that medical mistrust scores did not vary significantly between English-speaking and Spanish-speaking Hispanic/Latino groups. In line with the findings of Valera and colleagues,18 we found support for a 2-factor structure rather than for the 3-factor structure identified in the Thompson's1 original validation of the GBMMS.

Our results suggest that, albeit similar, subtle differences may make the experiences of medical mistrust among English and Spanish-speaking Hispanic/Latino parents slightly different from those of the population of the original validation study, for which half of the sample was African American. While Wheldon and colleagues found that a modified version of the GBMMS performed similarly among Hispanics/Latinos and African Americans,16 few studies have aimed to compare the psychometric properties of the scale across ethnic and racial groups.11 While such a comparison is beyond the scope of this work, performing CFA on independent samples of English- and Spanish-speaking Hispanics/Latinos will be an important next step in confirming the 2-factor structure that emerged in our analysis.

Two of the factors from Thompson's original validation study, ‘Group disparities in health care’ and ‘Lack of support from health care providers,’ seem to be combined in our ES and SS samples, which speaks to the idea that while these groups perceive some mistreatment at the health system level, those are not differentiated into issues of racial/ethnic group disparities and lack support. It suggests that both of these groups share a mistrust of how the health care systems views and treats people of their racial/ethnic background as a whole. This is particularly impactful if we consider that previous research has found that medical doctors are the most trusted source of health information among Hispanics/Latinos,20,43,44 as it implies that there is a perception of hostility present in the health relationship on which they rely the most.

Despite previous research suggesting the contrary,35 we found that ES and SS Hispanic/Latino groups seem to have similar experiences with medical mistrust, as found in the latent structure identified in this scale. This denotes that experiences among Hispanic/Latino respondents with health care providers in this sample were similar regardless of language preference, suggesting that something aside from acculturation level, citizenship status, and other factors associated with language preference among Hispanics/Latinos is driving these experiences. Further qualitative exploration of medical mistrust among these groups could provide more insight into this trend.

Some limitations to this study should be noted. While the scale items ask participants to provide information about their own opinions and experiences with medical mistrust, data from this study was collected as part of a study examining HPV vaccination in adolescents for which the participants were parents or caregivers. As such, it is possible that the questions regarding vaccination of their children could have primed participants to answer differently than they would have if they were responding to questions regarding their own use of health care services. Further research is needed to confirm these results among ES and SS Hispanics/Latinos seeking care for themselves. Another limitation is the heterogeneity of Hispanics/Latinos in the United States; there can be cultural and linguistic properties specific to our study participants that are not generalizable to other Hispanic/Latino subgroups. The translation of our survey is also a limitation; it is possible that a different translation of the GBMMS would have yielded a different factor structure. In addition, it is possible that bias in participant response styles could have altered our results, as preference and/or avoidance of extreme values responses in survey research have been documented across different cultures, races, and genders.45⇓–47 Other scales to assess medical mistrust have been validated among racial/ethnic minorities,11,48 and their factor structure should be examined to explore factor structure differences across scales. In addition, given sample size limitations, our analyses were limited to EFA only. The 2-factor structure we identified needs to be confirmed in a new sample of ES and SS Hispanics/Latinos. Lastly, our current work does not examine the relationship between medical mistrust and specific health-seeking behaviors, such as vaccine uptake. More work must be done to look at how the latent factors identified in our sample drive health outcomes in this population.

Nonetheless, the results of the analyses presented herein are an important first step in understanding how medical mistrust should be assessed among ES and SS Hispanic/Latino parents. While mean scores in our sample seem low, endorsing even 1 of the items in the GBMMS demonstrates a substantial mistrust against health care systems and medical professionals. Further research must explore ways in which medical trust can be built and on how to engage in partnerships that can help foster more positive, respectful, and effective interactions with ES and SS Hispanics/Latinos to provide care and improve the health of this growing population. Our study findings could inform the development of brief interventions focused on improving provider communications when interacting with populations with a history of medical mistrust. Training in motivational interviewing has been implemented with promise in other contexts49,50 and could be leveraged to identify ways in which medical mistrust in the clinical encounter can be acknowledged and validated. Further research should focus on specific ways in which medical mistrust can be overcome in this population and on how to implement trust-building practices in health care delivery settings that are responsive to the specific cultural and linguistic needs of the communities served. Our results can also guide further studies examining medical mistrust in multilingual populations and individuals who make health care decisions for others.

## Acknowledgments

We would like to thank Kim Thomas-Barrios, Jazmin Navarro, and Ivonne Rodriguez from the University of Southern California's Leslie and William McMorrow Neighborhood Academic Initiative (NAI) for assisting with the recruitment of study participants and the review of study materials. We also would like to thank the NAI parents who took their time to participate in our study. Lastly, we would like to thank Levi Bonnell and Saira Mayet for their early contributions to the data collection and primary data cleaning processes.

## Notes

*   This article was externally peer reviewed.

*   *Funding:* This research was funded by the National Cancer Institute through a University of Southern California Norris Comprehensive Cancer Center Support Grant Supplement for the study of HPV Vaccine Hesitancy (Grant # 3P30CA014089-45S4).

*   *Conflict of interests*: No conflicts of interest to report.

*   To see this article online, please go to: [http://jabfm.org/content/35/2/244.full](http://jabfm.org/content/35/2/244.full).

*   Received for publication July 16, 2021.
*   Revision received December 9, 2021.
*   Accepted for publication December 10, 2021.

## References

1.  1.Thompson HS, Valdimarsdottir HB, Winkel G, Jandorf L, Redd W. The Group-Based Medical Mistrust Scale: psychometric properties and association with breast cancer screening. Prev Med 2004;38:209–18.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1016/j.ypmed.2003.09.041&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=14715214&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 
    
    [Web of Science](http://www.jabfm.org/lookup/external-ref?access_num=000188319200012&link_type=ISI) 

2.  2.Amboree TL, Darkoh C. Barriers to human papillomavirus vaccine uptake among racial/ethnic minorities: a systematic review. J Racial Ethn Health Disparities 2021;8:1192–1207.
    
    

3.  3.Teixeira da Silva D, Biello K, Lin WY, et al. COVID-19 vaccine acceptance among an online sample of sexual and gender minority men and transgender women. Vaccines 2021;9:204.
    
    

4.  4.Griffith J, Marani H, Monkman H. COVID-19 vaccine hesitancy in canada: content analysis of tweets using the theoretical domains framework. J Med Internet Res 2021;23:e26874.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.2196/26874&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=33769946&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 

5.  5.Randolph SD, Golin C, Welgus H, Lightfoot AF, Harding CJ, Riggins LF. How perceived structural racism and discrimination and medical mistrust in the health system influences participation in HIV health services for black women living in the United States South: a qualitative, descriptive study. J Assoc Nurses AIDS Care 2020;31:598–605.
    
    

6.  6.Ojikutu BO, Amutah-Onukagha N, Mahoney TF, et al. HIV-related mistrust (or HIV conspiracy theories) and willingness to use PrEP among Black women in the United States. AIDS Behav 2020;24:2927–34.
    
    

7.  7.Rogers CR, Rogers TN, Matthews P, et al. Psychosocial determinants of colorectal cancer screening uptake among African-American men: understanding the role of masculine role norms, medical mistrust, and normative support. Ethn Health 2020;1–20.
    
    

8.  8.McFarlane JS, Morgan SE, Schlumbrecht M. Acceptability of a multicomponent, community-based, HPV self-test intervention among Jamaican women. Cancer Causes Control 2021;32:547–54.
    
    

9.  9.DeWitt-Foy ME, Gam K, Modlin C, Kim SP, Abouassaly R. Race, decisional regret and prostate cancer beliefs: identifying targets to reduce racial disparities in prostate cancer. J Urol 2021;205:426–33.
    
    

10. 10.Olson J, Cawthra T, Beyer K, et al. Community and research perspectives on cancer disparities in Wisconsin. Prev Chronic Dis 2020;17:E122.
    
    

11. 11.Williamson LD, Bigman CA. A systematic review of medical mistrust measures. Patient Educ Couns 2018;101:1786–94.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1016/j.pec.2018.05.007&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=29861339&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 

12. 12.Fields A, Abraham M, Gaughan J, Haines C, Hoehn KS. Language matters: race, trust, and outcomes in the pediatric emergency department. Pediatr Emerg Care 2016;32:222–6.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1097/PEC.0000000000000453&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=27031004&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 

13. 13.Hall MB, Vos P, Bess JJ, et al. Cervical cancer screening behaviors and perceptions of medical mistrust among rural Black and White women. JHCPU 2018;29:1368–85.
    
    

14. 14.Jaffee K, Cohen M, Azaiza F, Hammad A, Hamade H, Thompson H. Cultural barriers to breast cancer screening and medical mistrust among Arab American women. J Immigr 2021;23:95–102.
    
    

15. 15.Pellowski JA, Price DM, Allen AM, Eaton LA, Kalichman SC. The differences between medical trust and mistrust and their respective influences on medication beliefs and ART adherence among African-Americans living with HIV. Psychol Health 2017;32:1127–39.
    
    

16. 16.Wheldon CW, Kolar SK, Hernandez ND, Daley EM. Factorial invariance and convergent validity of the group-based medical mistrust scale across gender and ethnoracial identity. JHCPU 2017;28:88–99.
    
    

17. 17.Shelton RC, Winkel G, Davis SN, et al. Validation of the group-based medical mistrust scale among urban black men. J Gen Intern Med 2010;25:549–55.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1007/s11606-010-1288-y&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=20195782&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 

18. 18.Valera P, Boyas JF, Bernal C, Chiongbian VB, Chang Y, Shelton RC. A validation of the Group-Based Medical Mistrust Scale in formerly incarcerated Black and Latino men. Am J Mens Health 2018;12:844–50.
    
    

19. 19.Knopf AS, Krombach P, Katz AJ, Baker R, Zimet G. Measuring research mistrust in adolescents and adults: validity and reliability of an adapted version of the Group-Based Medical Mistrust Scale. PLoS One 2021;16:e0245783–e0245783.
    
    

20. 20.Harrington N, Chen Y, O'Reilly AM, Fang CY, Immersion Science Program, Fox Chase Cancer Center, Philadelphia, PA, USA. The role of trust in HPV vaccine uptake among racial and ethnic minorities in the United States: a narrative review. AIMS Public Health 2021;8:352–68.
    
    

21. 21.Jaiswal J, Halkitis PN. Towards a more inclusive and dynamic understanding of medical mistrust informed by science. Behav Med 2019;45:79–85.
    
    

22. 22.Alsan M, Wanamaker MT. The health of black men. Q J Econ 2018;133:407–55.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1093/qje/qjx029&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=30505005&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 

23. 23.Alsan M, Wanamaker M, Hardeman RR. The Tuskegee Study of untreated syphilis: a case study in peripheral trauma with implications for health professionals. J Gen Intern Med 2020;35:322–5.
    
    

24. 24.Oakley LP, López-Cevallos DF, Harvey SM. The association of cultural and structural factors with perceived medical mistrust among young adult latinos in rural Oregon. Behav Med 2019;45:118–27.
    
    

25. 25.Armstrong K, Ravenell KL, McMurphy S, Putt M. Racial/ethnic differences in physician distrust in the United States. Am J Public Health 2007;97:1283–9.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.2105/AJPH.2005.080762&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=17538069&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 
    
    [Web of Science](http://www.jabfm.org/lookup/external-ref?access_num=000255647800022&link_type=ISI) 

26. 26.Canedo JR, Wilkins CH, Senft N, Romero A, Bonnet K, Schlundt D. Barriers and facilitators to dissemination and adoption of precision medicine among Hispanics/Latinos. BMC public health 2020;20:603.
    
    

27. 27.Marin G, Marin BV. Research with Hispanic populations. Newbury Park, CA: SAGE; 1991.
    
    

28. 28.Marin G, Sabogal F, Marin BV, Otero-Sabogal R, Perez-Stable EJ. Development of a short acculturation scale for Hispanics. Hisp J Behav Sci 1987;9:183–205.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1177/07399863870092005&link_type=DOI) 
    
    [Web of Science](http://www.jabfm.org/lookup/external-ref?access_num=A1987K299900005&link_type=ISI) 

29. 29.Himmelgreen DA, Pérez-Escamilla R, Martinez D, et al. The longer you stay, the bigger you get: length of time and language use in the U.S. are associated with obesity in Puerto Rican women. Am J Phys Anthropol 2004;125:90–96.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1002/ajpa.10367&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=15293335&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 
    
    [Web of Science](http://www.jabfm.org/lookup/external-ref?access_num=000223447800009&link_type=ISI) 

30. 30.Unger JB, Cruz TB, Rohrbach LA, et al. English language use as a risk factor for smoking initiation among Hispanic and Asian American adolescents: evidence for mediation by tobacco-related beliefs and social norms. Health Psychol 2000;19:403–410.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1037/0278-6133.19.5.403&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=11007148&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 
    
    [Web of Science](http://www.jabfm.org/lookup/external-ref?access_num=000089292200001&link_type=ISI) 

31. 31.DuBard CA, Gizlice Z. Language spoken and differences in health status, access to care, and receipt of preventive services among US Hispanics. Am J Public Health 2008;98:2021–2028.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.2105/AJPH.2007.119008&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=18799780&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 
    
    [Web of Science](http://www.jabfm.org/lookup/external-ref?access_num=000260622900023&link_type=ISI) 

32. 32.Niu Z, Tortolero-Luna G, Lozada C, Heckman CJ, Coups EJ. Correlates of sun protection behaviors among adults in Puerto Rico. Int J Behav Med 2022;29:36–45.
    
    

33. 33.Chamberlain R, Fatehi M, Fogel J, Kulyn J. Hispanic acculturation: associations with family planning behaviors and attitudes. KJM 2021;14:103–107.
    
    

34. 34.Unger JB. Cultural influences on substance use among Hispanic adolescents and young adults: findings from Project RED. Child Dev Perspect 2014;8:48–53.
    
    

35. 35.O'Leary ST, Lockhart S, Barnard J, et al. Exploring facilitators and barriers to initiation and completion of the Human Papillomavirus (HPV) vaccine series among parents of girls in a safety net system. Int J Environ Res Public Health 2018;15:185.
    
    

36. 36.Norris AE, Ford K, Bova CA. Psychometrics of a brief acculturation scale for Hispanics in a probability sample of urban Hispanic adolescents and young adults. Hisp J Behav Sci 1996;18:29–38.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1177/07399863960181004&link_type=DOI) 
    
    [Web of Science](http://www.jabfm.org/lookup/external-ref?access_num=A1996TU40500004&link_type=ISI) 

37. 37.O'Rourke N, Hatcher L. Exploratory Factor Analysis. In: A Step-by-Step Approach to Using SAS® for Factor Analysis and Structural Equation Modeling. Second Edition ed. Cary, NC: SAS Institute Inc.; 2013.
    
    

38. 38.Fabrigar LR, Wegener DT, MacCallum RC, Strahan EJ. Evaluating the use of exploratory factor analysis in psychological research. Psychol 1999;4:272–299.
    
    

39. 39.Barsevick AM, Leader A, Bradley PK, et al. Post-treatment problems of African American breast cancer survivors. SCC 2016;24:4979–4986.
    
    

40. 40.Ph DLH, O'Rourke RDPN. A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition, 2nd Ed. SAS Institute; 2013.
    
    

41. 41.Sussner KM, Jandorf L, Thompson HS, Valdimarsdottir HB. Barriers and facilitators to BRCA genetic counseling among at-risk Latinas in New York City. Psychooncol 2013;22:1594–1604.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1002/pon.3187&link_type=DOI) 
    
    [PubMed](http://www.jabfm.org/lookup/external-ref?access_num=22987526&link_type=MED&atom=%2Fjabfp%2F35%2F2%2F244.atom) 

42. 42.Abraído-Lanza AF, Céspedes A, Daya S, Flórez KR, White K. Satisfaction with health care among Latinas. JHCPU 2011;22:491–505.
    
    

43. 43.Painter JE, Viana De OMS, Jimenez L, Avila AA, Sutter CJ, Sutter R. Vaccine-related attitudes and decision-making among uninsured, Latin American immigrant mothers of adolescent daughters: a qualitative study. Hum Vaccin Immunother 2019;15:121–133.
    
    

44. 44.Dilley SE, Peral S, Straughn JM Jr.., Scarinci IC. The challenge of HPV vaccination uptake and opportunities for solutions: lessons learned from Alabama. Prev Med 2018;113:124–131.
    
    

45. 45.Johnson T, Kulesa P, Cho YI, Shavitt S. The Relation between culture and response styles: evidence from 19 countries. J Cross Cult Psychol 2005;36:264–277.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1177/0022022104272905&link_type=DOI) 
    
    [Web of Science](http://www.jabfm.org/lookup/external-ref?access_num=000227048600006&link_type=ISI) 

46. 46.Benítez I, He J, Van de Vijver FJR, Padilla J-L. Linking extreme response style to response processes: a cross-cultural mixed methods approach. Int J Psychol 2016;51:464–473.
    
    

47. 47.Baumgartner H, Steenkamp JEBM. Response styles in marketing research: a cross-national investigation. J Mark Res 2001;38:143–156.
    
    [CrossRef](http://www.jabfm.org/lookup/external-ref?access_num=10.1509/jmkr.38.2.143.18840&link_type=DOI) 
    
    [Web of Science](http://www.jabfm.org/lookup/external-ref?access_num=000168807400001&link_type=ISI) 

48. 48.Sheppard VB, Huei-Yu Wang J, Hurtado-de-Mendoza A, Sutton AL, LaVeist TA. Psychometric properties of the Medical Mistrust Index (MMI) in Latina immigrants. Behav Med 2019;45:128–133.
    
    

49. 49.Dale SK. Using motivational interviewing to increase PrEP uptake among Black women at risk for HIV: an open pilot trial of MI-PrEP. J Racial Ethn Health Disparities 2020;7:913–927.
    
    

50. 50.Brandford A, Adegboyega A, Combs B, Hatcher J. Training community health workers in motivational interviewing to promote cancer screening. Health Promot Pract 2019;20:239–250.