Behavioral Risk Factor Surveillance System Research Articles

Chronic Health Conditions and Longitudinal Employment in Survivors of Childhood Cancer

Employment is an important factor in quality of life and provides social and economic support. Longitudinal data on employment and associations with chronic health conditions for adult survivors of childhood cancer are lacking. To evaluate longitudinal trends in employment among survivors of childhood cancer. Retrospective cohort study of 5-year cancer survivors diagnosed at age 20 years or younger between 1970 and 1986 enrolled in the multi-institutional Childhood Cancer Survivor Study (CCSS). Sex-stratified employment status at baseline (2002 to 2004) and follow-up (2014 to 2016) was compared with general population rates from the Behavioral Risk Factor Surveillance System cohort. Data were analyzed from July 2021 to June 2022. Cancer therapy and preexisting and newly developed chronic health conditions. Standardized prevalence ratios of employment (full-time or part-time, health-related unemployment, unemployed, not in labor force) among adult (aged ≥25 years) survivors between baseline and follow-up compared with the general population. Longitudinal assessment of negative employment transitions (full-time to part-time or unemployed at follow-up). Female participants (3076 participants at baseline; 2852 at follow-up) were a median (range) age of 33 (25-53) years at baseline and 42 (27-65) years at follow-up; male participants (3196 participants at baseline; 2557 at follow-up) were 33 (25-54) and 43 (28-64) years, respectively. The prevalence of full-time or part-time employment at baseline and follow-up was 2215 of 3076 (71.3%) and 1933 of 2852 (64.8%) for female participants and 2753 of 3196 (85.3%) and 2079 of 2557 (77.3%) for male participants, respectively, with declining standardized prevalence ratios over time (female participant baseline, 1.01; 95% CI, 0.98-1.03; follow-up, 0.94; 95% CI, 0.90-0.98; P < .001; male participant baseline, 0.96; 95% CI, 0.94-0.97; follow-up, 0.92; 95% CI, 0.89-0.95; P = .02). While the prevalence of health-related unemployment increased (female participants, 11.6% to 17.2%; male participants, 8.1% to 17.1%), the standardized prevalence ratio remained higher than the general population and declined over time (female participant baseline, 3.78; 95% CI, 3.37-4.23; follow-up, 2.23; 95% CI, 1.97-2.51; P < .001; male participant baseline, 3.12; 95% CI, 2.71-3.60; follow-up, 2.61; 95% CI, 2.24-3.03; P = .002). Among survivors employed full-time at baseline (1488 female participants; 1933 male participants), 285 female participants (19.2%) and 248 male participants (12.8%) experienced a negative employment transition (median [range] follow-up, 11.5 [9.4-13.8] years). Higher numbers and grades of chronic health conditions were significantly associated with these transitions. In this retrospective analysis of adult survivors of childhood cancer, significant declines in employment and increases in health-related unemployment among cancer survivors compared with the general population were identified. A substantial portion of survivors in the midcareer age range fell out of the workforce. Awareness among clinicians, caregivers, and employers may facilitate clinical counseling and occupational provisions for supportive work accommodations.

Risk of Chronic Obstructive Pulmonary Disease and Receipt of a Breathing Test in 26 States and the District of Columbia, 2017–2018

Risk of Chronic Obstructive Pulmonary Disease and Receipt of a Breathing Test in 26 States and the District of Columbia, 2017–2018

Comparison of the characteristics of the population eligible for lung cancer screening under 2013 and population newly eligible under 2021 US Preventive Services Task Force recommendations.

In 2021, the United States Preventive Services Task Force (USPSTF) revised their 2013 recommendations for lung cancer screening eligibility by lowering the pack-year history from 30+ to 20+ pack-years and the recommended age from 55 to 50years. Simulation studies suggest that Black persons and females will benefit most from these changes, but it is unclear how the revised USPSTF recommendations will impact geographic, health-related, and other sociodemographic characteristics of those eligible. This cross-sectional study employed data from the 2017-2020 Behavioral Risk Factor Surveillance System surveys from 23 states to compare age, gender, race, marital, sexual orientation, education, employment, comorbidity, vaccination, region, and rurality characteristics of the eligible population according to the original 2013 USPSTF recommendations with the revised 2021 USPSTF recommendations using chi-squared tests. This study compared those originally eligible to those newly eligible using the BRFSS raking-dervived weighting variable. There were 30,190 study participants. The results of this study found that eligibility increased by 62.4% due to the revised recommendations. We found that the recommendation changes increased the proportion of eligible females (50.1% vs 44.1%), Black persons (9.2% vs 6.6%), Hispanic persons (4.4% vs 2.7%), persons aged 55-64 (55.8% vs 52.6%), urban-dwellers(88.3% vs 85.9%), unmarried (3.4% vs 2.5%) and never married (10.4% vs 6.6%) persons, as well as non-retirees (76.5% vs 56.1%) Respondents without comorbidities and COPD also increased. It is estimated that the revision of the lung cancer screening recommendations decreased eligibility disparities in sex, race, ethnicity, marital status, respiratory comorbidities, and vaccination status. Research will be necessary to estimate whether uptake patterns subsequently follow the expanded eligibility patterns.

Increasing Restorative Sleep Among Adults With Depressive Symptoms: A Quality Improvement Project.

The Centers for Disease Control and Prevention estimates that 34.8% of adults in the United States experience non-restorative sleep. The restorative theory of sleep is based on sleep as a means for the restoration of cellular function that is needed for activities when awake. Non-restorative sleep leads to awakening feeling unrefreshed and not ready for the activities of the day three or more times weekly. Aims: The aim of this quality improvement project was to increase restorative sleep by increasing the average amount of sleep over units of 24 h, decreasing perceived insufficient sleep, and decreasing episodes of unintended daytime sleep among patients with depressive symptoms ages 18 to 80 years in an outpatient mental health clinic. Methods: Ten patients with depressive symptoms and reporting non-restorative sleep volunteered to participate in the project. Participants kept a sleep diary and followed principles of healthy sleep such as limiting time in bed and going to bed at the same time nightly. The change in and the average amount of sleep over 24 h and daytime sleepiness were evaluated using the Behavioral Risk Factor Surveillance System. Results: All participants achieved at least one more day of restorative sleep, with nine increasing restorative sleep by at least 30 min per day, and nine having no episodes of unintentionally falling asleep.

Non-response to ACE items is associated with demographic variables and health indicators in the 2021 Behavioral Risk Factor Surveillance System

BackgroundAdverse childhood experiences (ACE) encompass traumatic events occurring before age 18, with lasting impacts on health. While ACE disclosure is important for understanding these effects, some individuals decline to respond to ACE-related survey items due to sensitivity, privacy concerns, or psychological distress. This study explores the relationship between non-response to ACE items and health outcomes, shedding light on the implications for those who choose not to disclose. MethodsWe performed a secondary analysis of the 2021 Behavioral Risk Factor Surveillance System (BRFSS)—a national telephone survey querying health behaviors and conditions. Sociodemographic factors, ACE exposure, and non-response to ACE items were analyzed. ResultsIndividuals who decline to respond to ACE items exhibit similar patterns of health behaviors and conditions as those reporting ACE exposure. Non-response is linked to both healthier behaviors (lifetime HIV testing) and riskier behaviors (higher odds of smoking and e-cigarette use). Moreover, non-responders have higher odds of being underweight or obese, experiencing concentration difficulties, reporting poor self-rated health, and reporting multiple health diagnoses including depression, diabetes, high blood pressure, heart attack, and stroke. ConclusionsThe study underscores the need to address health disparities associated with ACE, regardless of disclosure status. Healthcare interventions should target respondents and non-respondents of ACE screeners, tailoring strategies to promote healthier coping mechanisms and mitigate maladaptive behaviors. These results emphasize the importance of trauma-informed care, early intervention, and targeted public health initiatives for individuals affected by ACE, irrespective of their disclosure choices.

Association between adverse childhood experiences and health related quality of life in adult cancer survivors in the United States.

The impact of adverse childhood experiences (ACEs) on health-related quality of life (HRQOL) is increasingly recognized, however, this has not been studied in cancer survivors in the United States. This study investigates if ACEs are associated with HRQOL in cancer survivors. We conducted a cross-sectional analysis of the 2020 Behavioral Risk Factor Surveillance System from states that administered ACEs and Cancer Survivorship modules. Eligibility criteria included being a cancer survivor and not currently receiving cancer treatment. Primary exposure was number of ACEs (categorized as 0, 1-2, 3, or ≥ 4). Primary outcomes were self-reported measures of HRQOL including worse overall health and ≥ 14 unhealthy days (mentally or physically) per month. Mantel-Haenszel stratified analyses were performed and prevalence ratios were adjusted for age. Of 5,780 participants, 62.0% were female and 67.8% were ≥ 65 years. Prevalence of worse overall health was 22.5% for individuals with no ACEs compared to 30.2% for 2-3 ACEs (aPR = 1.4, 95% CI 1.2, 1.5) and 38.5% for ≥ 4 ACEs (aPR = 1.7, 95% CI 1.5, 2.0). Prevalence of ≥ 14 unhealthy days was 18.1% with no ACEs compared to 21.0% for 1 ACE (aPR = 1.3, 95% CI 1, 1.3), 29.0% for 2-3 ACEs (aPR = 1.6, 95% CI 1.4, 1.8), and 44.8% for ≥ 4 ACEs (aPR = 2.2, 95% CI 2.0, 2.5). Our study provides novel evidence of the association of multiple ACEs with higher prevalence of poor HRQOL in cancer survivors. Screening for ACEs is warranted in all patients to guide targeted interventions to improve HRQOL and mitigate the impact of ACEs on HRQoL in cancer survivors.

Prevalence of Positive Childhood Experiences Among Adults - Behavioral Risk Factor Surveillance System, Four States, 2015-2021.

Positive childhood experiences (PCEs) promote optimal health and mitigate the effects of adverse childhood experiences, but PCE prevalence in the United States is not well-known. Using Behavioral Risk Factor Surveillance System data, this study describes the prevalence of individual and cumulative PCEs among adults residing in four states: Kansas (2020), Montana (2019), South Carolina (2020), and Wisconsin (2015). Cumulative PCE scores were calculated by summing affirmative responses to seven questions. Subscores were created for family-related (three questions) and community-related (four questions) PCEs. The prevalence of individual PCEs varied from 59.5% (enjoyed participating in community traditions) to 90.5% (adult in respondents' household made them feel safe), and differed significantly by race and ethnicity, age, and sexual orientation. Fewer non-Hispanic Black or African American (49.2%), non-Hispanic Alaska Native or American Indian (37.7%), and Hispanic or Latino respondents (38.9%) reported 6-7 PCEs than did non-Hispanic White respondents (55.2%). Gay or lesbian, and bisexual respondents were less likely than were straight respondents to report 6-7 PCEs (38.1% and 27.4% versus 54.7%, respectively). A PCE score of 6-7 was more frequent among persons with higher income and education. Improved understanding of the relationship of PCEs to adult health and well-being and variation among population subgroups might help reduce health inequities.

Equity in oncology care: addressing disparities in cancer treatment in Georgia

This research delves into the disparities in access to oncology care among cancer patients in Georgia, with a specific focus on the distinct challenges faced by African American (AA) individuals compared to non-African American (Non-AA) counterparts. Leveraging data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) survey and supplementary online resources, the study meticulously examines socioeconomic factors, including income, education, and insurance coverage, which significantly influence the quality of cancer care received. The analysis reveals substantial income gaps between AA and Non-AA patients, underscoring the critical implications for healthcare access. Moreover, AA patients exhibit lower rates of full insurance coverage for cancer-related treatments, posing additional barriers to comprehensive care. By investigating the intersections of race, income, and education, the research aims to pinpoint the root causes of these disparities and proposes evidence-based solutions to address the identified challenges. The ultimate objective is to contribute valuable insights that inform targeted policy recommendations and community-based interventions, fostering a more equitable landscape for oncology care in Georgia. This study seeks to amplify awareness and advocate for tangible measures, striving toward healthcare equity for all cancer patients, irrespective of their racial or socioeconomic backgrounds.

Deep Learning-Based Assessment of Built Environment From Satellite Images and Cardiometabolic Disease Prevalence.

Built environment plays an important role in development of cardiovascular disease. Large scale, pragmatic evaluation of built environment has been limited owing to scarce data and inconsistent data quality. To investigate the association between image-based built environment and the prevalence of cardiometabolic disease in urban cities. This cross-sectional study used features extracted from Google satellite images (GSI) to measure the built environment and link them with prevalence of cardiometabolic disease. Convolutional neural networks, light gradient-boosting machines, and activation maps were used to assess the association with health outcomes and identify feature associations with coronary heart disease (CHD), stroke, and chronic kidney disease (CKD). The study obtained aerial images from GSI covering census tracts in 7 cities (Cleveland, Ohio; Fremont, California; Kansas City, Missouri; Detroit, Michigan; Bellevue, Washington; Brownsville, Texas; and Denver, Colorado). The study used census tract-level data from the US Centers for Disease Control and Prevention's 500 Cities project. The data were originally collected from the Behavioral Risk Factor Surveillance System that surveyed people 18 years and older across the country. Analyses were conducted from February to December 2022. GSI images of built environment and cardiometabolic disease prevalence. Census tract-level estimated prevalence of CHD, stroke, and CKD based on image-based built environment features. The study obtained 31 786 aerial images from GSI covering 789 census tracts. Built environment features extracted from GSI using machine learning were associated with prevalence of CHD (R2 = 0.60), stroke (R2 = 0.65), and CKD (R2 = 0.64). The model performed better at distinguishing differences between cardiometabolic prevalence between cities than within cities (eg, highest within-city R2 = 0.39 vs between-city R2 = 0.64 for CKD). Addition of GSI features both outperformed and improved the model that only included age, sex, race, income, education, and composite indices for social determinants of health (R2 = 0.83 vs R2 = 0.76 for CHD; P <.001). Activation maps from the features revealed certain health-related built environment such as roads, highways, and railroads and recreational facilities such as amusement parks, arenas, and baseball parks. In this cross-sectional study, a significant portion of cardiometabolic disease prevalence was associated with GSI-based built environment using convolutional neural networks.

Predictors of stool deoxyribonucleic acid test use in the United States: Implications for outreach to under-resourced populations

ObjectiveAlthough colorectal cancer screening (CRCS) is a public health priority, uptake is suboptimal in under-resourced groups. Noninvasive modalities, including stool deoxyribonucleic acid (sDNA) testing, may mitigate economic, geographic, cultural, or impairment-related barriers to CRCS. We assessed use of sDNA testing and other CRCS modalities in U.S. residents, comparing subgroups defined by several social determinants of health (SDOH). MethodsA nationally representative sample of community-dwelling respondents aged 50–75 years self-reported use of CRCS modalities in the 2020 Behavioral Risk Factor Surveillance System Survey. Statistical analyses assessed up-to-date screening status and choice of modality in the recommended screening interval. ResultsOf 179,833 sampled respondents, 60.8% reported colonoscopy, 5.7% sDNA testing, 5.5% another modality. The rate of up-to-date screening was 72.0% overall and negatively associated with Hispanic ethnicity (63.6%), lower educational and annual income levels (e.g., <high school, 63.7%, <$20,000, 67.2%), and cost-related difficulty accessing physician care (57.4%; all p < 0.001) but not with Black non-Hispanic race/ethnicity (74.6%) or sensory, cognitive, or physical impairments (73.1%–73.9%). Choice of sDNA instead of colonoscopy was made by 8.5% overall and was more common in the same SDOH groups (Hispanic ethnicity, 17.7%; <high school, 17.4%; <$20,000, 16.8%; cost-related difficulty accessing care, 12.0%); Black non-Hispanic race/ethnicity (11.6%); and impairments (sensory, 12.0%; other cognitive or physical, 12.9%). ConclusionsUnder-resourced persons were more likely than better-resourced persons to access sDNA testing, possibly offsetting screening barriers in some groups. Findings suggest opportunities to increase CRCS with heightened communication about sDNA testing to those who may experience difficulty accessing other modalities.

The effects of the expanded child tax credit on mental health of home renters and homeowners

The American Rescue Plan Act of 2021 expanded the Child Tax Credits (CTC) by increasing the maximum amount of credit, making the credit fully refundable, and providing advanced monthly credit payments from July to December 2021. We evaluated the impact of the expanded CTC in 2021 on mental health of home renters compared to homeowners within the income range eligible for maximum credit. The study included nationally representative data from the 2019–2022 Behavioral Risk Factor Surveillance System. Outcomes were the number of days not in good mental health in the past 30 days, and an indicator for having 14 or more such days. The study employed regression models examining mental health changes of adults before and after the CTC expansion by number of children (which determines the overall CTC payment). We find that the CTC expansion was associated with improved mental health among renters. A $100 monthly CTC payment was associated with 0.096 fewer days not in good mental health among renters in the past 30, with associations concentrated in the last quarter of 2021. There was little evidence of associations of CTC payments with mental health among homeowners. The findings suggest that cash support programs such as the CTC are associated with improved mental health of adults in low-income renting households.

Diabetes and the social, biologic, and behavioral determinants of endometrial cancer in the United States

BackgroundEndometrial cancer is one of the most common types of cancer that affects women’s reproductive system. The risk of endometrial cancer is associated with biologic, behavioral and social determinants of health (SDOH). The focus of the work is to investigate the cumulative effect of this cluster of covariates on the odds of endometrial cancer that heretofore have only been considered individually.MethodsWe conducted a quantitative study using the Behavioral Risk Factor Surveillance System (BRFSS) national data collected in 2020. Data analysis using weighted Chi-square test and weighted logistic regression were carried out on 84,118 female study participants from the United States.ResultsWomen with diabetes mellitus were approximately twice as likely to have endometrial cancer compared to women without diabetes (OR 1.54; 95%CI: 1.01–2.34). Biologic factors that included obesity (OR 3.10; 95% CI: 1.96–4.90) and older age (with ORs ranging from 2.75 to 7.21) had a significant increase in the odds of endometrial cancer compared to women of normal weight and younger age group of 18 to 44. Among the SDOH, attending college (OR 1.83; 95% CI: 1.12-3.00) was associated with increased odds of endometrial cancer, while renting a home (OR 0.50; 95% CI: 0.28–0.88), having other arrangements (OR 0.05; 95% CI: 0.02–0.16), being divorced (OR 0.55; 95% CI: 0.30–0.99), and having higher incomes ranging from $35,000 to $50,000 (OR 0.35; 95% CI: 0.16–0.78), and above $50,000 (OR 0.29; 95% CI: 0.14–0.62), were all associated with decreased odds of endometrial cancer. As for race, Black women (OR 0.24; 95% CI: 0.07–0.84) and women of other races (OR 0.37; 95% CI: 0.15–0.88) were shown to have lower odds of endometrial cancer compared to White women.ConclusionOur results revealed the importance of adopting a comprehensive approach to the study of the associated factors of endometrial cancer by including social, biologic, and behavioral determinants of health. The observed social inequity in endometrial cancer among women needs to be addressed through effective policies and changes in social structures to advocate for a standardized healthcare system that ensures equitable access to preventive measures and quality of care.

Association of cigarette smoking with changes in macroeconomic conditions

This study uses data from the 1987–2022 Behavioral Risk Factor Surveillance System and state-level employment rates from the US Bureau of Labor Statistics to estimate the association between macroeconomic conditions and cigarette smoking. Our finding suggests a positive association, which constantly declined with time after the 2001 recession. We find that a one percentage point increase in the employment rate is associated with a 1.4% higher likelihood of smoking cigarettes in the overall sample but declined to 0.4% among cohorts surveyed from 2011 to 2022. We also find strong positive and heterogeneous associations among sociodemographic groups, except among Blacks and persons aged 65 years and older, among whom there is no association; however, the positive associations consistently decreased among these sociodemographic groups. Consequently, the strong positive association disappeared in several sociodemographic groups in cohorts surveyed over the last decade.

The Influence of the COVID 19 Pandemic on Food Insecurity Among Cancer Survivors Across New York State.

People surviving cancer represent a particularly vulnerable population who are at a higher risk for food insecurity (FI) due to the adverse short- and long-term effects of cancer treatment. This analysis examines the influence of the COVID-19 pandemic on the prevalence of FI among cancer survivors across New York State (NYS). Data from the 2019 and 2021 NYS Behavioral Risk Factor Surveillance System (BRFSS) were used to estimate the prevalence of FI. Multivariable logistic regression was used to explore socioeconomic determinants of FI. Among cancer survivors, FI varied geographically with a higher prevalence in New York City compared to the rest of the state (ROS) prior to (25.3% vs. 13.8%; p = .0025) and during the pandemic (27.35% vs. 18.52%; p = 0.0206). In the adjusted logistic regression model, pre-pandemic FI was associated with non-White race (OR 2.30 [CI 1.16-4.56]), household income <$15,000 (OR 22.67 [CI 6.39-80.43]) or $15,000 to less than <$25,000 (OR 22.99 [CI 6.85-77.12]), and more co-morbidities (OR 1.39 [CI 1.09-1.77]). During the pandemic, the association of FI with non-White race (OR 1.76 [CI 0.98-3.16]) was attenuated but remained significant for low household income and more co-morbidities. FI was newly associated with being out of work for less than one year (OR 6.36 [CI 1.80-22.54] and having one (OR 4.42 [CI 1.77-11.07]) or two or more children in the household (OR 4.54 [CI 1.78-11.63]). Our findings highlight geographic inequities and key determinants of FI among cancer survivors that are amendable to correction by public health and social policies, for which several were momentarily implemented during the pandemic.

National Breast, Cervical, and Colorectal Cancer Screening Use in Federally Qualified Health Centers

Federally qualified health centers (FQHCs) deliver health care to nearly 30 million underserved persons across the US, yet nationwide and state-level breast, cervical, and colorectal cancer screening use in FQHCs is not described. Furthermore, it is unknown how the underscreened FQHC population contributes to the total underscreened population at national and state levels. To describe national- and state-level breast, cervical, and colorectal cancer screening use among individuals served by FQHCs in the US and to estimate the percentage of underscreened individuals in the general population served by FQHCs. This cross-sectional analysis of cancer screening used data from January 1 through December 31, 2020, from the FQHC Uniform Data System, reported by 1364 FQHCs across the US, and self-reported estimates from the Behavioral Risk Factor Surveillance System. Participants were 16 696 692 US adults served by FQHCs who were eligible for breast (age, 50-74 years), cervical (age, 21-64 years), and colorectal (age, 50-75 years) cancer screening. Analyses were conducted between January 1 and June 30, 2023. Breast, cervical, and colorectal cancer screening. Percentages of breast, cervical, and colorectal cancer screening-eligible individuals up to date on screening. A total of 3 162 882 breast, 7 444 465 cervical, and 6 089 345 colorectal screening-eligible individuals were served by FQHCs in 2020. Nationally, screening use in FQHCs was 45.4% (95% CI, 45.4%-45.5%) for breast cancer, 51.0% (95% CI, 51.0%-51.1%) for cervical cancer, and 40.2% (95% CI, 40.1%-40.2%) for colorectal cancer. Screening use among the US general population was 78.2% (95% CI, 77.6%-78.9%) for breast cancer, 82.9% (95% CI, 82.3%-83.4%) for cervical cancer, and 72.3% (95% CI, 71.7%-72.8%) for colorectal cancer. The contribution of the underscreened population served by FQHCs to the national underscreened general population was 16.9% (95% uncertainty interval [UI], 16.4%-17.4%) for breast cancer, 29.7% (95% UI, 28.8%-30.7%) for cervical cancer, and 14.7% (95% UI, 14.4%-15.0%) for colorectal cancer. Findings from this national cross-sectional study indicated major gaps in cancer screening use in FQHCs in the US. Improved prevention is urgently needed to address screening disparities.

Incentivizing dental services in healthy behaviour Medicaid waivers.

In the United States, adult dental benefits are optional in the state-managed, public insurance program, Medicaid. States also have the option to adapt their Medicaid program via waivers which pair healthy behaviour incentives (HBI) with cost-sharing. These waivers have proven ineffective, but the empirical evidence has ignored differences between states. This study aims to evaluate the impact of four state's HBI Medicaid waiver on dental visits among low-income adult population subject to incentives and cost-sharing requirements by the HBI waiver. Analysing biannual data from the Behavioural Risk Factor Surveillance System's Oral Health module (2008-2018) with a Difference-in-Differences design, this study estimated the effect of a Healthy Behaviour Incentive waiver on the probability of visiting the dentist in the past year. The three states that implemented an HBI Waiver (Indiana, Michigan and Wisconsin) were analysed separately. Secondary outcomes included being uninsured and having all teeth extracted. Matrix Completion methods accounted for dynamic treatment and tested for non-common trends. Inference was based on randomization inference tests. Only in Michigan was an HBI waiver consistently associated with a significant increase in the probability of a dental visit (Est. = 5.6%-points, p = .01). There was little convincing evidence that HBI waivers were associated with being uninsured or having all teeth extracted. Between 2010 and 2019, many states have implemented an HBI waiver, each with a different approach to incentivizing dental visits. These implementation differences may explain the heterogeneous effects by state. More work is needed to evaluate how Medicaid waivers impact health outcomes in low-income populations.

Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification

Despite medical advancements in recent years, cardiovascular diseases (CVDs) remain a major factor in rising mortality rates, challenging predictions despite extensive expertise. The healthcare sector is poised to benefit significantly from harnessing massive data and the insights we can derive from it, underscoring the importance of integrating machine learning (ML) to improve CVD prevention strategies. In this study, we addressed the major issue of class imbalance in the Behavioral Risk Factor Surveillance System (BRFSS) 2021 heart disease dataset, including personal lifestyle factors, by exploring several resampling techniques, such as the Synthetic Minority Oversampling Technique (SMOTE), Adaptive Synthetic Sampling (ADASYN), SMOTE-Tomek, and SMOTE-Edited Nearest Neighbor (SMOTE-ENN). Subsequently, we trained, tested, and evaluated multiple classifiers, including logistic regression (LR), decision trees (DTs), random forest (RF), gradient boosting (GB), XGBoost (XGB), CatBoost, and artificial neural networks (ANNs), comparing their performance with a primary focus on maximizing sensitivity for CVD risk prediction. Based on our findings, the hybrid resampling techniques outperformed the alternative sampling techniques, and our proposed implementation includes SMOTE-ENN coupled with CatBoost optimized through Optuna, achieving a remarkable 88% rate for recall and 82% for the area under the receiver operating characteristic (ROC) curve (AUC) metric.

Trends in Arthritis Prevalence and Associated Chronic Health Indicators Among Adults: Insights From the Behavioral Risk Factor Surveillance System (BRFSS) Database

Trends in Arthritis Prevalence and Associated Chronic Health Indicators Among Adults: Insights From the Behavioral Risk Factor Surveillance System (BRFSS) Database

Racial Disparities in Patterns and Modes of Current and Daily Marijuana Use among Adults Living with Children.

This study sought to examine racial disparities in marijuana use among U.S. adults living with children. Data are drawn from the 2022 Behavioral Risk Factor Surveillance System to examine the prevalence of current (past month) and frequent (≥20 days in the last 30 days) marijuana use along with the mode of marijuana use by 7 racial and ethnic groups (non-Hispanic [NH] White, NH-Black, Hispanic, NH American Indian or Alaskan Native [AI/AN], NH-Asian, NH Native Hawaiian or other Pacific Islander only [NH/PI], and other/multiple races, n=22,659). Compared to NH White adults with children, NH Black adults had a higher prevalence of current marijuana use (23.1% vs. 16.9%, p=0.003) and NH AI/AN adults had two times higher prevalence of frequent use (17.3% vs. 8.4%, p=0.0003). Adults living in recreational marijuana legal states (vs. no) were also more likely to report marijuana use, and there were significant age × race/ethnicity and education × race/ethnicity interactions (p<0.05) on marijuana use. Regarding the mode of use, racial minority users except Asians also reported a higher prevalence of smoking marijuana than their White counterparts. Substantial racial disparities in marijuana use patterns among adults who live with children highlight a potential risk for adolescents' health. Addressing these differences is essential for promoting equitable health outcomes in diverse communities.

Racial and ethnic disparities in prostate cancer screening following the 2018 US Preventive Services Task Force recommendation statement.

In 2018, the United States Preventive Services Task Force promoted shared decision making between healthcare provider and patient for men aged 55 to 69. This study aimed to analyze rates of prostate-specific antigen (PSA) testing across racial and ethnic groups following this new recommendation. A secondary analysis was conducted of the 2020-2021 Behavioral Risk Factor Surveillance System database to assess men aged 55 or older without a history of prostate cancer. We defined four race-ethnicity groups: non-Hispanic Whites (NHWs), non-Hispanic Blacks (NHBs), Hispanics, and Other. The primary outcome was the most recent PSA test (MRT), defined as the respondent's most recent PSA test occurring pre-2018 or post-2018 guidelines. Logistic regression adjusted for covariates including age, socioeconomic status factors, marital status, smoking history, and healthcare access factors. In the age 55 to 69 study sample, NHW men had the greatest proportion of MRT post-2018 guidelines (n = 15,864, 72.5%). NHB men had the lowest percentage of MRT post-2018 guidelines (n = 965, 66.6%). With NHW as referent, the crude odds of the MRT post-2018 guidelines was 0.68 (95% confidence interval (CI) = 0.53-0.90) for NHB. The maximally adjusted odds ratio was 0.78 (0.59-1.02). We found that NHB aged 55 to 69 reported decreased rates of PSA testing after 2018 when compared to NHW. This was demonstrated on crude analysis but not after adjustment. Such findings suggest the influence of social determinants of health on preventative screening for at-risk populations.