Unmet needs for long-term services and supports and associations with health outcomes.

BACKGROUND: The availability of population-level data on unmet needs for long-term services and supports (LTSS) is limited at state and national levels. Data on unmet LTSS needs can improve our understanding of disparities and relationships with health outcomes. OBJECTIVE: 1) Explore differences in unmet LTSS needs by socio-demographic characteristics, including age, sex, race/ethnicity, metropolitan status, sexual orientation, and socio-economic status; and 2) Examine associations between unmet LTSS needs and health/preventative healthcare outcomes. METHODS: We used the 2021 Behavioral Risk Factor Surveillance System (BRFSS) core survey and state-added LTSS questions to analyze a sample of adults with LTSS needs in Texas (N = 1232). We compared socio-demographic characteristics between adults with and without unmet LTSS needs. We conducted modified-Poisson regressions to estimate unadjusted and adjusted risk ratios (with 95 % confidence intervals) for each health/preventative healthcare outcome among adults with unmet LTSS needs. Health outcomes included health status, healthy days-physical health, healthy days-mental health, suicide ideation, and multiple chronic conditions. Preventative healthcare outcomes included routine check-up and flu vaccine. RESULTS: Among adults with LTSS needs, those with unmet LTSS needs were statistically significantly more likely to be younger (age<65), female, higher educational attainment, and non-straight sexual orientation. After controlling for socio-demographic variables, having unmet needs for LTSS was significantly associated with poorer physical and mental health outcomes and suicide ideation. CONCLUSIONS: Improved data collection on unmet needs LTSS can assist policymakers, particularly at the state level in guiding reforms to reduce disparities in access to home and community-based services (HCBS) and improve health outcomes.

Exploring the Factors Influencing Coronary Heart Disease Prevalence in the US Population: A Retrospective Observational Study.

INTRODUCTION: Coronary heart disease (CHD) remains a significant global health concern and is characterized by inadequate blood supply to the myocardium due to the accumulation of plaque in the coronary arteries. Despite therapeutic advancements, prevalence disparities persist across various segments of the U.S. population, posing a significant challenge to healthcare systems. This study aims to find the prevalence disparities of CHD using Behavioral Risk Factor Surveillance System (BRFSS) data. METHODOLOGY: A retrospective observational study was done using the 2022 BRFSS dataset on January 17, 2024. The study examined the presence of CHD as the dependent variable and investigated various independent variables. Descriptive and logistic regression analyses were conducted using the BRFSS Web Enabled Analysis Tool (Centers for Disease Control and Prevention, Atlanta, GA). Data management and storage utilized Microsoft Excel, and graphical analysis employed GraphPad Prism, version 9.4.1 (GraphPad Software, Inc., San Diego, CA). RESULTS: In demographics, respondents aged 65+ had higher CHD odds, while females exhibited lower risk than males. Hispanics had the lowest odds of CHD among all races. Socioeconomically, inability to work and retirees had higher CHD odds, as did income below $20,000 but ≥$15,000. Poor physical health increased CHD odds, as did having multiple healthcare providers. Medicare users had the highest CHD odds among insurance options. CONCLUSIONS: Significant disparities in CHD prevalence were seen across demographic, socioeconomic, health status, and healthcare access dimensions in the United States, emphasizing the urgent need for targeted interventions to address these disparities and improve overall public health outcomes.

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

Background: Adverse 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. Methods: We 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. Results: Individuals 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. Conclusions: The 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.

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

Background Arthritis is a prevalent, chronic condition with significant implications for morbidity and healthcare utilization. Understanding trends in arthritis prevalence and associated chronic health indicators is vital for informing public health interventions and healthcare policies. Objective This retrospective study aimed to analyze trends in arthritis prevalence and associated chronic health indicators among adults using data from the Behavioral Risk Factor Surveillance System (BRFSS) database. Methods This retrospective study utilized data from the BRFSS database covering 2019 to 2022. Participants included United States adults aged 18 years and older who completed BRFSS surveys during the specified period. Primary variables included arthritis prevalence and its correlation with chronic health indicators and demographics. Data collection involved standardized telephone questionnaires administered annually, with rigorous attention to data quality and consistency. Prevalence estimates were calculated using weighted proportions, and statistical analysis utilized analysis of variance (ANOVA). Results The study revealed relatively stable arthritis prevalence over the study period, with notable demographic variations. Arthritis prevalence remained stable (2019: 43.3%, 2021: 42.5%). Females consistently had higher rates than males (2019: 45%, 2021: 44.9%). Activity limitation, joint pain, and work limitation were more prevalent in arthritis patients. White, non-Hispanic individuals had higher rates than other groups. Physical inactivity increased from 2019 (29.4%) to 2022 (72.4%), particularly in males. Counseling for physical activity was lower in males. Targeted interventions are needed to address these disparities and improve arthritis management. Conclusion This study provides insights into trends in arthritis prevalence and associated chronic health indicators among United States adults. The findings underscore the importance of considering demographic factors in arthritis prevention and management strategies. Targeted interventions promoting physical activity counseling, particularly among high-risk populations, are warranted to address the rising trend of physical inactivity among individuals with arthritis.

Association of Hypertension with Well-Being: Results from the Behavioral Risk Factor Surveillance System (BRFSS) Study.

INTRODUCTION: It remains unclear how hypertension affects subjective well-being, especially in light of its potential gender-specific impacts. AIM: In this study, we aimed to study the association between hypertension and subjective well-being and the potential gender differences in this relationship as well as mediating factors. METHODS: We use individual-level data from > 1 million Americans who participated in six waves of the nationally representative Behavioral Risk Factor Surveillance System (BRFSS) survey. We employ descriptive and regression analyses to determine the association between hypertension and subjective well-being while controlling for the usual well-being covariates identified from the related literature. RESULTS: Hypertension was negative associated with subjective well-being (p < 0.001) and our results for covariates were in line with the findings in the related literature. The association between hypertension and subjective well-being was only found in males (p < 0.001) but not in females. The relationship is mediated by age and exercising but only for females. CONCLUSION: Hypertension is negatively associated with well-being among males. The diagnosis of hypertension should not only lead to medical treatments but also involve a careful psychological management.

Beer taxes associate with lower alcohol and cigarette use; cigarette taxes associate with lower cigarette but higher alcohol use.

Background: There is a yet unmet opportunity to utilize data on taxes and individual behaviors to yield insight for analyzing studies involving alcohol and cigarette use.Objectives: To inform the direction and strength of their mutual associations by leveraging the fact that taxation can affect individual consumption, but individual consumption cannot affect taxation.Methods: We linked state-level data on cigarette and beer taxes in 2009-2020 with individual-level data on self-reported current cigarette and alcohol use from the Behavioral Risk Factor Surveillance System, a telephone survey by the Centers for Disease Control and Prevention that is representative of the population of each state in the United States. We constructed linear and logistic models to examine associations between a $1 increase in cigarette taxes per pack and a $1 increase in beer taxes per gallon and self-reported cigarette use and alcohol consumption (assessed as any current intake, average drinks/day, heavy drinking, and binge drinking), adjusting for survey year and individual characteristics.Results: Among 2,968,839,352 respondents (49% male), a $1 increase in beer taxes was associated with .003 (95% confidence interval [CI] -.013, .008) fewer drinks/day and lower odds of any drinking (odds ratio [OR] = .81 95%CI .80, .83), heavy drinking (OR = .96 95%CI .93, .99), binge drinking (OR = .82 95%CI .80, .83), and smoking (OR = .98 95%CI .96, 1.00). In contrast, a $1 increase in cigarette taxes was associated with lower odds of smoking (OR = .94 95%CI .94, .95) but .007 (95%CI .005, .010) more drinks/day, and higher odds of any drinking (OR = 1.10 95%CI 1.10, 1.11), heavy drinking (OR = 1.02 95%CI 1.01, 1.02), and binge drinking (OR = .82 95%CI .80, .83).Conclusion: Higher beer taxes were associated with lower odds of drinking and smoking, but higher cigarette taxes were associated with lower odds of smoking and higher alcohol consumption. These results suggest that alcohol intake may be a determinant of cigarette use rather than cigarette use as a determinant of alcohol intake.

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

OBJECTIVE: This study sought to examine racial disparities in marijuana use among U.S. adults living with children. METHODS: 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). RESULTS: 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. CONCLUSIONS AND RELEVANCE: 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.

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

BACKGROUND: Endometrial 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. METHODS: We 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. RESULTS: Women 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. CONCLUSION: Our 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.

Demographic and Behavioral Risk Factors Predict Functional Limitations Associated with Subjective Cognitive Decline in Americans with Chronic Obstructive Pulmonary Disease: A Secondary Analysis.

Prior research indicates that subjective cognitive decline (SCD) affects approximately one-third of older adults with Chronic Obstructive Pulmonary Disease (COPD). However, there is limited population-based research on risk factors associated with SCD-related functional limitations within this vulnerable subgroup. A secondary data analysis of 2019 Behavioral Risk Factor Surveillance System data was conducted to address this gap, focusing on Americans ≥45 years old with COPD (N = 107,204). Several sociodemographic and health-related factors were independently associated with SCD-related functional limitations. Retired and unemployed individuals were significantly more likely to require assistance with day-to-day activities due to memory loss or confusion compared to employed individuals (AOR = 3.0, 95% CI: 1.2-8.0; AOR = 5.8, 95% CI: 3.01-1.5, respectively). Additionally, unemployed individuals were over five times more likely to report confusion or memory loss affecting social activities (AOR = 5.7, 95% CI: 2.9-11.0). Disparities were also observed among different racial groups, with Black/African Americans (AOR = 4.9, 95% CI: 2.3-10.4) and Hispanics (AOR = 2.4, 95% CI: 1.2-4.7) more likely than White and non-Hispanic people, respectively, to give up daily chores due to SCD. Our findings underscore the need for culturally sensitive interventions to address functional limitations faced by retired, unemployed, and minority adults with COPD and SCD.

Trends in American Indian/Alaskan native self-reported stroke prevalence and associated modifiable risk factors in the United States from 2011-2021.

BACKGROUND: Stroke prevalence varies by race/ethnicity, as do the risk factors that elevate the risk of stroke. Prior analyses have suggested that American Indian/Alaskan Natives (AI/AN) have higher rates of stroke and vascular risk factors. METHODS: We included biyearly data from the 2011-2021 Behavioral Risk Factor Surveillance System (BRFSS) surveys of adults (age ≥18) in the United States. We describe survey-weighted prevalence of stroke per self-report by race and ethnicity. In patients with self-reported stroke (SRS), we also describe the prevalence of modifiable vascular risk factors. RESULTS: The weighted number of U.S. participants represented in BRFSS surveys increased from 237,486,646 in 2011 to 245,350,089 in 2021. SRS prevalence increased from 2.9% in 2011 to 3.3% in 2021 (p<0.001). Amongst all race/ethnicity groups, the prevalence of stroke was highest in AI/AN at 5.4% and 5.6% in 2011 and 2021, compared to 3.0% and 3.4% for White adults (p<0.001). AI/AN with SRS were also the most likely to have four or more vascular risk factors in both 2011 and 2021 at 23.9% and 26.4% compared to 18.2% and 19.6% in White adults (p<0.001). CONCLUSION: From 2011-2021 in the United States, AI/AN consistently had the highest prevalence of self-reported stroke and highest overall burden of modifiable vascular risk factors. This persistent health disparity leaves AI/AN more susceptible to both incident and recurrent stroke.

Prevalence of complete edentulism among US adults 65 years and older: A Behavioral Risk Factor Surveillance System study from 2012 through 2020.

BACKGROUND: The rapid growth of the older adult population in the United States and their increased risk of edentulism make it essential to analyze trends and factors associated with edentulism. METHODS: Data were obtained from the Behavioral Risk Factor Surveillance System from 2012 through 2020. US- and state-level trend lines were reported. Multiple logistic regression analyses were used to evaluate the association between self-reported complete edentulism and demographic characteristics, chronic diseases, smoking status, and health insurance status. Multiple imputations were used to address the missing data. RESULTS: A total of 771,513 (weighted n = 50,410,576) participants were included in the study. There was a significant (P = .021) downward trend in the prevalence of edentulism from 2012 (16.36%) through 2020 (13.54%). Having less than a high school education, being a smoker, being non-Hispanic Black, having an annual household income less than $75,000, and having chronic conditions, including diabetes, myocardial infarction, arthritis, depression, and stroke, were significantly associated with complete edentulism. CONCLUSIONS: Despite a decrease in prevalence of edentulism, disparities based on race, income, and education still exist. Edentulism is associated with chronic diseases in older adults. PRACTICAL IMPLICATIONS: Public health initiatives should be aimed at reducing the impact of edentulism and improving overall quality of life among older adults. Community health programs allocating resources to improve access to affordable care, reducing precursors to edentulism, expanding dental coverage, and promoting oral and general health awareness are vital components of these efforts.

Partitioning the Composition of Adverse Childhood Experiences From Accumulated Adversity: Cross-Sectional Evidence From 2 U.S. Samples.

Introduction: Adverse childhood experiences are linked to adult morbidity and mortality. However, it is unknown whether the patterning of adverse childhood experiences, individually and in combination, confer health risk distinct from that of a cumulative adversity score. This study evaluates whether individual and comorbid adverse childhood experience exposures within a cumulative risk score are equally associated with current smoking and lifetime history of depression. Methods: Cross-sectional analysis of adverse childhood experience assessments in the Behavioral Risk Factor Surveillance System from 21 states in 2019 (n=115,183) and 23 states in 2020 (n=120,416) was performed. We modeled cumulative adverse childhood experience scores and the 5 most common distinct adverse childhood experience components that compose a given adverse childhood experience score, up to a cumulative score of 4. We compared adverse childhood experience components, adjusting for covariates. Results: Across both samples, 23% and 57%-58% of persons reported 1 adverse childhood experience and 2 or more adverse childhood experiences, respectively. In 2019 smoking prevalence was 10.4% for persons reporting zero adverse childhood experiences and 14.2% for persons reporting 1 adverse childhood experience. When the single adverse childhood experience was experiencing parental divorce, smoking was higher (16.6%) than when the single adverse childhood experience was verbal abuse (11.8%) or living with a mentally ill household member (9.5%). Lifetime depression prevalence was 9.6% and 14.1% across zero and 1 adverse childhood experience, respectively, whereas it was 26.6% if the single adverse childhood experience was living with a mentally ill household member and 11.0% when the adverse childhood experience was experiencing parental divorce. This heterogeneity was replicated in 2020 data. Additional heterogeneity was observed for higher cumulative adverse childhood experience scores. Conclusions: Cumulative adverse childhood experience scores mask substantial health risk heterogeneity, which can be delineated by examining distinct components of cumulative adverse childhood experience scores.

Using machine learning algorithms to investigate factors associated with complete edentulism among older adults in the United States.

AIMS: Edentulism is an incapacitating condition, and its prevalence is unequal among different population groups in the United States (US) despite its declining prevalence. This study aimed to investigate the current prevalence, apply Machine Learning (ML) Algorithms to investigate factors associated with complete tooth loss among older US adults, and compare the performance of the models. METHODS: The cross-sectional 2020 Behavioral Risk Factor Surveillance System (BRFSS) data was used to evaluate the prevalence and factors associated with edentulism. ML models were developed to identify factors associated with edentulism utilizing seven ML algorithms. The performance of these models was compared using the area under the receiver operating characteristic curve (AUC). RESULTS: An overall prevalence of 11.9% was reported. The AdaBoost algorithm (AUC = 84.9%) showed the best performance. Analysis showed that the last dental visit, educational attainment, smoking, difficulty walking, and general health status were among the top factors associated with complete edentulism. CONCLUSION: Findings from our study support the declining prevalence of complete edentulism in older adults in the US and show that it is possible to develop a high-performing ML model to investigate the most important factors associated with edentulism using nationally representative data.

Social determinants of health in patients with arthritis: a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System.

CONTEXT: Social determinants of health (SDOH) are economic, social, and political conditions that affect a person's overall health or the health of a group of people. Researchers have investigated the effects of SDOH on various diseases, such as asthma, obesity, and chronic stress, but few publications have been made regarding its effects on arthritis. OBJECTIVES: Our primary objective was to analyze the implications of SDOH on disease severity relating to pain levels and limitations experienced among people with diagnosed arthritis. METHODS: We performed a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System (BRFSS). We included individuals who reported having arthritis, were over the age of 45, and who also completed the SDOH module. Pain scores from the four-question Arthritis Burden Module were correlated to question responses pertaining to SDOH to determine their associations. RESULTS: For the analysis, our sample size was 25,682, with response rates varying slightly among the SDOH questions. Individuals diagnosed with arthritis were more likely to report functional limitations if they experienced food insecurity (χ2=234.0, p<0.001), financial instability (χ2=149.7, p<0.001), or frequent stress (χ2=297.6, p<0.001). Further, we found that individuals with arthritis experiencing any domain of SDOH reported higher mean pain scores than those not experiencing that domain, with the highest pain score difference among those reporting frequent stress (Coefficient: 1.93, CI=1.74-2.13, t=19.43, p<0.001). CONCLUSIONS: Our results show that SDOH profoundly impact pain levels and limitations experienced by patients with arthritis. Although work has already begun to help alleviate burdens associated with SDOH, more research and actions are required to create equitable health throughout the population.

Adverse childhood experiences and human immunodeficiency virus testing among adults with human immunodeficiency virus risk behaviours.

Adverse childhood experiences (ACEs) have been associated with poor HIV testing in adulthood yet, they have not been extensively described in those at increased risk for HIV. Cross-sectional analysis data (n = 204,231) on ACEs and HIV testing were obtained from the 2019-2020 Behavioural Risk Factor Surveillance Survey. Weighted logistic regression models were used to access the association of ACEs exposure, ACEs score, and ACEs type with HIV testing among adults with HIV risk behaviours, and stratified analysis was also performed to examine gender differences. The results indicated the overall rate of HIV testing was 38.8% and was higher among those with HIV risk behaviours (64.6%) than those without (37.2%). In populations with HIV risk behaviours, the negative association of HIV testing with ACEs exposure, ACEs score, and ACEs type was identified. Relative to those without ACEs, adults who were exposed to ACEs might decrease the rate of HIV testing, participants with ≥4 ACEs scores were less likely to have HIV testing, and childhood exposure to sexual abuse had the greatest impact on HIV testing. For both males and females, childhood exposure to ACEs was associated with lower odds of HIV testing and ACEs score ≥4 had the most robust associations with HIV testing. For males, those who experienced witnessed domestic violence had the lowest odds of HIV testing but the odds of engaging in HIV testing for females were the lowest among those who experienced childhood sexual abuse.

Associations between social determinants of health and diabetes self-care behaviors among insured adult patients.

AIMS: This study explored the association between social determinants of health (SDOH) and diabetes care behaviors among individuals with health insurance. METHODS: Data from 57,206 US residents, representing a population of over 25.58 million adults with health insurance and diagnosed diabetes, were included in this cross-sectional analysis of data from the 2017 Behavioral Risk Factor Surveillance System. Logistic regression models were constructed to evaluate the likelihood of various diabetes care behaviors given the presence of several SDOH (e.g., food insecurity, poverty, housing insecurity, rurality). RESULTS: Most respondents exercised, ate vegetables, saw a provider for diabetes-related care in the last year, and reported checking their feet and testing their blood sugar daily. Not feeling safe (odds ratio (OR) 1.77, 95 % confidence interval (CI) 1.04, 3.01) was related to never checking blood sugar. Experiencing frequent stress was associated with a lower likelihood of exercise (OR .77, 95% CI 0.60, 0.999) and lower likelihood of checking blood sugar at least once a day (OR 0.73, 95% CI 0.54, 0.99). Food insecurity was associated with lower likelihood of vegetable consumption (OR 0.63, 95 % CI 0.47, 0.85) but a higher likelihood of checking blood sugar (OR 1.80, 95 % CI 1.26, 2.57). Low-income respondents were less likely to exercise (OR 0.72, 95 % CI 0.64, 0.80) or eat vegetables (OR 0.83, 95 % CI 0.75, 0.93) but more likely to check their feet (OR 1.19, 95 % CI 1.04, 1.35) and blood sugar at least once per day (OR 1.15, 95% CI 1.01, 1.31). Those who rent their home were also more likely to check their blood sugar (OR 1.22, 95% CI 1.07, 1.37) but less likely to have eaten vegetables in the last week (OR 0.87, 95% CI 0.78, 0.97). Respondents living in rural areas were more likely to have visited a provider in the last year (OR 1.21 95% CI 1.00, 1.47). CONCLUSIONS: SDOH can adversely affect diabetes self-care behaviors, providers should assist vulnerable patients by connecting them with community resources and providing individualized care.

The Impact of Social Determinants of Health on the Diagnosis of Type 2 Diabetes Mellitus (T2DM) Among Asian Indians (AIs) in New Jersey: A Secondary Analysis of the BRFSS Survey From 2013 to 2017.

INTRODUCTION: Asian Indians (AIs), the second largest immigrant population in the United States, are disproportionately affected by type 2 diabetes mellitus (T2DM) at a lower age and body mass index (BMI). The purpose of this study was to examine the relationship between social determinants of health (SDOH) and the diagnosis of T2DM among AIs in New Jersey (NJ). METHODOLOGY: This was a secondary data analysis of the Behavioral Risk Factor Surveillance System (BRFSS) in NJ from 2013 to 2017. Statistical analyses included descriptive and inferential statistics. RESULTS: Among 1,132 AIs, 16% had T2DM or prediabetes (PDM) and 69.2% were overweight or obese. The risk for T2DM was significantly associated with internet use, older age, having medical check-ups, and having a personal doctor (p ≤ .05). DISCUSSION: These findings inform culturally congruent care by underscoring the importance of weight management, earlier screening, and provider involvement in diabetes prevention strategies for AIs.

National and Local Direct Medical Cost Burden of COPD in the United States From 2016 to 2019 and Projections Through 2029.

BACKGROUND: Despite the significant burden posed by COPD to health care systems, there is a lack of up-to-date information quantifying the general COPD burden, costs, and long-term projections to various stakeholders in the United States. RESEARCH QUESTION: What are the updated state-specific and nationwide estimates of the COPD disease burden and direct costs in 2019, along with projections of COPD-attributable medical costs through 2029? STUDY DESIGN AND METHODS: A cross-sectional, retrospective study design using the 2016 to 2019 Medical Expenditure Panel Survey, 2019 American Community Survey, and 2019 Behavioral Risk Factor Surveillance System data was applied to generate COPD-attributable expenditure estimates. Cost projections for the years 2020 to 2029 were based on 2017 national population projections reported by the US Census Bureau, and all costs were adjusted to 2019 US dollars. RESULTS: In total, 4,135 people living with COPD were included; a higher proportion had other concurrent conditions such as cardiovascular-related conditions compared with people without COPD (n = 86,021). Overall, in 2019, COPD-attributable medical costs after adjusting for demographic characteristics and 19 concurrent conditions (including COPD-related and non-COPD-related conditions) were estimated at $31.3 billion, with state-specific cost estimates reporting wide variation, from $44.8 million in Alaska to $3.1 billion in Florida. Nationwide COPD-attributable medical costs borne by payer type were as follows: private insurance, $11.4 billion; Medicare, $10.8 billion; and Medicaid, $3.0 billion. Projections of national medical costs attributable to COPD are reported to increase to $60.5 billion in 2029. INTERPRETATION: Understanding the current disease and economic burden of COPD in the United States, along with the projected costs attributable to COPD in the next decade, will highlight unmet needs and gaps in care that help inform health care decision-makers in planning future actions to alleviate this disease burden.

Sociodemographic and health risk factors associated with health-related quality of life among adults living in Puerto Rico in 2019: a cross-sectional study.

BACKGROUND: Puerto Rico, a US territory, faces numerous challenges adversely affecting public health, including poverty, a fragile healthcare system, inadequate infrastructure, a debt crisis, and vulnerability to climate change-related natural disasters. The impact of these factors on the Health-Related Quality of Life (HRQoL) measure has not been comprehensively evaluated. Only two studies have assessed HRQoL, with the latest conducted in 2011, prior to recent events that could affect public health. This study aimed to assess the HRQoL and associated sociodemographic and health risk factors among adults living in Puerto Rico in 2019. METHODS: Prevalence and 95% confidence intervals were used to describe HRQoL and its associations with sociodemographic and health-related variables among adults living in Puerto Rico who answered the Behavioral Risk Factor Surveillance System (BRFSS) survey (n = 4,944) in 2019. Multivariable logistic regression models were developed to identify which of these variables were more likely to be associated with each of the four core HRQoL questions (HRQoL-4), expressed as prevalence odds ratios with 95% confidence intervals adjusted for potential confounders. RESULTS: Through a comprehensive multivariable analysis, we uncovered significant risk factors - increasing number of chronic conditions, advanced age, and low income - associated with poor HRQoL among adults living in Puerto Rico. Specifically, our findings suggest that individuals with an increasing number of chronic conditions were more likely to report poor HRQoL across all 4 domains. As the number of reported chronic conditions increases by one, the odds of reporting having: fair/poor general health increased by a factor of 2.24 (POR: 2.24, 95% CI: 2.08-2.41), physical health impairment increased by a factor of 1.93 (POR: 1.93, 95% CI: 1.78-2.08), mental health impairment increased by a factor of 1.90 (POR: 1.90, 95% CI: 1.78-2.02) and activity limitation increased by a factor of 1.27 ( POR: 1.27, 95% CI: 1.13-1.42). Advancing age was associated with all domains of poor HRQoL, except for the mental health domain for which we observed higher rates of poor HRQoL among the younger population (POR: 4.76, 95% CI: 2.4-9.1). CONCLUSION: This paper shows that the prevalence of poor HRQoL has not improved compared to the only previous study of HRQoL of Puerto Rico in the last decade. We also found that poor HRQoL is associated with having multiple chronic conditions in adults living in Puerto Rico. This may be a consequence of a decline in health services after natural disasters and socioeconomic downturns on the island. The study emphasizes the need for targeted interventions and ongoing monitoring of the population's HRQoL over time to reach vulnerable subgroups, especially those with chronic conditions, advanced age, and low income, in order to reduce health disparities in Puerto Rico.

Association between low health literacy and adverse health behaviors in North Carolina, 2016.

Introduction: Health literacy (HL) is an urgent public health challenge facing the U.S. HL is a critical factor in health inequities and exacerbates underlying social determinants of health. Purpose: This study assesses the association between low HL (LHL) and adverse health behaviors, which contribute to poor health. Methods: Researchers used North Carolina's 2016 Behavioral Risk Factor Surveillance System data, namely, the Health Literacy optional module which asks respondents to rate how difficult it is for them to get health-related advice or to understand medical information (verbal or written). Health behaviors analyzed were excessive alcohol consumption, lack of adequate exercise and sleep, and irregular medical and dental check-ups. The sample was divided into four age categories (18-49, 50-64, and 65-75, and 76 and older) for statistical comparisons. Stata 15 and a user-written Stata command, - psacalc-, were used to examine the relationships by addressing omitted variable bias in OLS regressions. Results: Findings indicate that LHL has a direct robust relationship with not exercising, inadequate sleep, irregular health and dental checkup, and health screenings across different age groups. Among women, LHL is associated with getting a Pap test in 3 years as opposed to more than 3 years. Implications: The adverse behaviors can explain the mechanisms underlying the link between LHL and adverse health outcomes. Further research on the causal relationship between LHL and adverse health behaviors using longitudinal data on a broader geographic region is warranted.