County of Residence and Screening Practices among Latinas and Non-Latina Whites in Two Rural Communities

Social determinants of health and health inequities in breast cancer screening: a scoping review

Introduction

This scoping review aims to highlight key social determinants of health associated with breast cancer screening behavior in United States women aged ≥40  years old, identify public and private databases with SDOH data at city, state, and national levels, and share lessons learned from United States based observational studies in addressing SDOH in underserved women influencing breast cancer screening behaviors.

Methods

The Arksey and O'Malley York methodology was used as guidance for this review: (1) identifying research questions; (2) searching for relevant studies; (3) selecting studies relevant to the research questions; (4) charting the data; and (5) collating, summarizing, and reporting results.

Results

The 72 included studies were published between 2013 and 2023. Among the various SDOH identified, those related to socioeconomic status (n = 96) exhibited the highest frequency. The Health Care Access and Quality category was reported in the highest number of studies (n = 44; 61%), showing its statistical significance in relation to access to mammography. Insurance status was the most reported sub-categorical factor of Health Care Access and Quality.

Discussion

Results may inform future evidence-based interventions aiming to address the underlying factors contributing to low screening rates for breast cancer in the United States.

Mammography Compliance for Arizona and New Mexico Hispanic and American Indian Women 2016-2018

Hispanic and American Indian (AI) women experience lower breast cancer incidence than non-Hispanic White (NHW) women, but later-stage diagnoses and lower survival rates, suggesting issues with screening and healthcare access. Between 1999-2015, NHW breast cancer incidence decreased by 10% but increased by 8% for AI women. This study used 2016 and 2018 Behavioral Risk Factor Surveillance System data for Arizona and New Mexico to explore mammography screening. Analyses included Hispanic, AI, and NHW women aged ≥40 years (n = 12,830) to calculate age-specific compliance by race/ethnicity, logistic regression, and adjusted and sample-weighted evaluated associations between compliance and socio-economic covariates. In total, 75.1% of Hispanic women aged 50-74 reported mammography in the past two years (United States Preventive Services Task Force compliant) compared to 73.9% of NHW and 71.0% of AI women. Women who reported doctor visits in the past 12 months were likelier to comply than those without (AOR = 4.2 for Hispanic, 2.9 for AI, and 3.2 for NHW women). Reporting access to a personal doctor was related to compliance, except for AI women. While screening compliance was over 74%, visiting a healthcare provider in the past 12 months was essential. AI women reported issues that suggest unique challenges when deciding on mammography.

Cancer Prevention and Diagnosis Knowledge among Spanish-speaking Older Latino/as Residing in Tampa, Florida

Objective

Cancer remains the leading cause of death among Latino/as in the United States, and advancing age is a major risk factor for developing most cancer types. Given the growing population of Latino/as immigrants aged ≥60 years and the current lack of relevant data, this study aims to understand the cancer prevention and perception of cancer diagnosis among older Latinos to ensure that they receive effective prevention, intervention, and psychosocial care.

Method

A survey exploring attitudes about cancer was developed and administered in Spanish. Using convenience sampling, 168 individuals identifying as Latino/as were surveyed in Tampa, Florida. Descriptive analysis was conducted to understand study population characteristics. Frequencies were assessed to understand the participants' responses to cancer-related attitude questions. The effects of age, country of origin, length of stay in the United States, and marital status on the participants' cancer-related attitudes were assessed using logistic regression.

Results

The mean age of the study participants was 67.9 years, 34.5% were male, and the mean length of stay in the United States was 25.8 years. In total, 29% and 24.4% of the participants knew that breast cancer and prostate cancer, respectively, can be diagnosed early. Individuals with an elementary education were less likely to have sufficient knowledge of cancer prevention and diagnosis. Additionally, 93.5% of the population was aware that tobacco use can lead to cancer, and 84.5% knew that exposure to tobacco smoke can affect both the smoker and their family.

Conclusion

Older Latino/as possess knowledge about cancer causes yet lack knowledge regarding cancer prevention and diagnosis, potentially creating barriers and causing them to avoid treatment. Focusing on cancer-related health education among older Latino/as is a step toward appropriate and equitable cancer care.

The Intersection of Rural Residence and Minority Race/Ethnicity in Cancer Disparities in the United States

One in every twenty-five persons in America is a racial/ethnic minority who lives in a rural area. Our objective was to summarize how racism and, subsequently, the social determinants of health disproportionately affect rural racial/ethnic minority populations, provide a review of the cancer disparities experienced by rural racial/ethnic minority groups, and recommend policy, research, and intervention approaches to reduce these disparities. We found that rural Black and American Indian/Alaska Native populations experience greater poverty and lack of access to care, which expose them to greater risk of developing cancer and experiencing poorer cancer outcomes in treatment and ultimately survival. There is a critical need for additional research to understand the disparities experienced by all rural racial/ethnic minority populations. We propose that policies aim to increase access to care and healthcare resources for these communities. Further, that observational and interventional research should more effectively address the intersections of rurality and race/ethnicity through reduced structural and interpersonal biases in cancer care, increased data access, more research on newer cancer screening and treatment modalities, and continued intervention and implementation research to understand how evidence-based practices can most effectively reduce disparities among these populations.

Factor Analysis of the Prediction of the Postpartum Depression Screening Scale

Postpartum depression (PPD), a severe form of clinical depression, is a serious social problem. Fortunately, most women with PPD are likely to recover if the symptoms are recognized and treated promptly. We designed two test data and six classifiers based on 586 questionnaires collected from a county in North Carolina from 2002 to 2005. We used the C4.5 decision tree (DT) algorithm to form decision trees to predict the degree of PPD. Our study established the roles of attributes of the Postpartum Depression Screening Scale (PDSS), and devised the rules for classifying PPD using factor analysis based on the participants’ scores on the PDSS questionnaires. The six classifiers discard the use of PDSS Total and Short Total and make extensive use of demographic attributes contained in the PDSS questionnaires. Our research provided some insightful results. When using the short form to detect PPD, demographic information can be instructive. An analysis of the decision trees established the preferred sequence of attributes of the short form of PDSS. The most important attribute set was determined, which should make PPD prediction more efficient. Our research hopes to improve early recognition of PPD, especially when information or time is limited, and help mothers obtain timely professional medical diagnosis and follow-up treatments to minimize the harm to families and societies.