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.

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.

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.

Patient perspectives of prostate cancer screening vary by race following 2018 guideline changes.

BACKGROUND: The 2018 US Preventive Services Task Force guidelines recommend individualizing prostate cancer screening in 55- to 69-year-old men. Given the higher incidence of prostate cancer in African American (AA) compared to non-Hispanic White (NHW) men, this study compared reported rates of prostate-specific antigen (PSA) screening hypothesizing that it would not be commensurate with the relative risk between these two groups. METHODS: Using the 2020 Behavioral Risk Factor Surveillance System, we identified 43,685 men (40,301 NHW and 3384 AA) interviewed about PSA screening. RESULTS: AA men had an odds ratio (OR) of 0.80 (95% confidence interval [CI], 0.69-0.93; p = .004) of reporting PSA screening; sequentially correcting for access to care, smoking, and age had minimal effect on this finding, but when correcting for income significantly attenuated this difference (OR, 0.95; 95% CI, 0.81-1.12). Further adding education level eliminated the effect size of AA race entirely with OR, 0.99 (95% CI, 0.84-1.17; p = .91). Further analysis found significant interaction between education and race, with college-educated AA men having 1.42 OR of receiving screening compared to college-educated NHW men. CONCLUSIONS: Despite prostate cancer being more common and having higher population-level mortality in AA than NHW men, PSA screening and education patterns do not reflect this increased risk even when adjusting for health access disparities. The authors' findings of significant effect from both income and education suggest that systemic racism is an important factor in the observed difference in PSA screening between AA men and NHW men. LAY SUMMARY: In the United States, prostate cancer is more common in African American men New guidelines from 2018 encourage physicians to consider risk factors in deciding whether or not to recommend screening, but overall African American men continue to be screened at a lower rate than non-Hispanic White men This effect disappears when correcting for income and education level, suggesting that several factors including systemic racism, medical mistrust, and self-advocacy may impact this observed difference.

Less than ideal cardiovascular health among adults is associated with experiencing adverse childhood events: BRFSS 2019.

Ideal cardiovascular health (CVH) is associated with a lower risk of heart disease and stroke while adverse childhood events (ACEs) are related to health behaviors (e.g., smoking, unhealthy diet) and conditions (e.g., hypertension, diabetes) associated with CVH. Data from the 2019 Behavioral Risk Factor Surveillance System was used to explore ACEs and CVH among 86,584 adults ≥18 years from 20 states. CVH was defined as poor (0-2), intermediate (3-5), and ideal (6-7) from summation of survey indicators (normal weight, healthy diet, adequate physical activity, not smoking, no hypertension, no high cholesterol, and no diabetes). ACEs was summed by number (0,1, 2, 3, and ≥4). A generalized logit model estimated associations between poor and intermediate CVH (ideal as referent) and ACEs accounting for age, race/ethnicity, sex, education, and health care coverage. Overall, 16.7% (95% Confidence Interval[CI]:16.3-17.1) had poor, 72.4% (95%CI:71.9-72.9) had intermediate, and 10.9% (95%CI:10.5-11.3) had ideal CVH. Zero ACEs were reported for 37.0% (95%CI:36.4-37.6), 22.5% (95%CI:22.0-23.0) reported 1, 12.7% (95%CI:12.3-13.1) reported 2, 8.5% (95%CI:8.2-8.9) reported 3, and 19.3% (95%CI:18.8-19.8) reported ≥4 ACEs. Those with 1 (Adjusted Odds Ratio [AOR] = 1.27;95%CI = 1.11-1.46), 2 (AOR = 1.63;95%CI:1.36-1.96), 3 (AOR = 2.01;95%CI:1.66-2.44), and ≥ 4 (AOR = 2.47;95%CI:2.11-2.89) ACEs were more likely to report poor (vs. ideal) CVH compared to those with 0 ACEs. Those who reported 2 (AOR = 1.28;95%CI = 1.08-1.51), 3 (AOR = 1.48;95%CI:1.25-1.75), and ≥ 4 (AOR = 1.59;95%CI:1.38-1.83) ACEs were more likely to report intermediate (vs. ideal) CVH compared to those with 0 ACEs. Preventing and mitigating the harms of ACEs and addressing barriers to ideal CVH, particularly social and structural determinants, may improve health.

Exposure to adverse childhood experiences and diabetes: Mediational role of short sleep duration.

Adverse childhood experiences (ACEs) are associated with an increased risk of diabetes in adulthood. However, the potential mediational role of sleep duration in this association is unclear. A total of 116, 014 participants in the United States, from the Behavioral Risk Factor Surveillance System (BRFSS) survey in 2020 were involved in the study. The effects of ACE status, different ACEs, and ACE scores on short sleep duration were examined using binary logistic regression analysis, and the association of ACE status, different types of ACEs, and ACE scores with diabetes and the mediating role of short sleep duration were observed. Path analysis was used to investigate short sleep duration as pathways between different types of ACEs and diabetes in adulthood. For the different types of ACEs, alcohol abuse in the household (OR = 1.13, 95%CI 1.08; 1.18), witnessing domestic violence (OR = 1.17, 95%CI 1.11; 1.23), emotional abuse (OR = 1.11, 95%CI 1.06; 1.16), physical abuse (OR = 1.22, 95%CI 1.17; 1.28), sexual abuse (OR = 1.25, 95%CI 1.18; 1.32) and short sleep duration (OR = 1.26, 95%CI 1.21; 1.32) independently increased the odds of diabetes. There was also an indirect relationship between alcohol abuse in the household, witnessing domestic violence, physical abuse, sexual abuse, and diabetes via short sleep duration. Short sleep duration plays a partial mediating role between ACEs and diabetes, including alcohol abuse in the household, witnessing domestic violence, physical and sexual abuse.

Measuring bereavement prevalence in a complex sampling survey: the 2019 Georgia Behavioral Risk Factor Surveillance System (BRFSS).

BACKGROUND: The Behavioral Risk Factor Surveillance System (BRFSS) is an annual survey designed to identify trends in the public's health. In its 2019 field survey, the U.S. state of GA tested a new 3 - item module to measure the numbers of bereaved, resident adults aged 18 years and older. Participants were eligible if they answered 'Yes' to the item 'Have you experienced the death of a family member or close friend in the years 2018 or 2019?'. This analysis explores two research questions. Can estimates for bereavement prevalence be derived without large sampling errors, low precision, and small subsamples? Can multiple imputation techniques be applied to overcome non-response and missing data to support multivariate modeling? METHODS: BRFSS is a non-institutionalized sample of adults aged 18 years and older living in the U.S. state of Georgia. Analyses in this study were conducted under two scenarios. Scenario 1 applies the complex sample weights created by the Centers for Disease Control and imputes values for missing responses. Scenario 2 treats the data as a panel - no weighting combined with removal of persons with missing data. Scenario 1 reflects the use of BRFSS data for public health and policy, while Scenario 2 reflects data as it is commonly used in social science research studies. RESULTS: The bereavement screening item has a response rate (RR) of 69.1% (5206 of 7534 persons). Demographic subgroups and categories of health have RR of 55% or more. Under Scenario 1, the estimated prevalence of bereavement is 45.38%, meaning that 3,739,120 adults reported bereaved in 2018 or 2019. The estimated prevalence is 46.02% with Scenario 2 which removes persons with any missing data (4,289 persons). Scenario 2 overestimates the bereavement prevalence by 1.39%. An illustrative logistic model is presented to show the performance of exposure to bereavement under the two data scenarios. CONCLUSIONS: Recent bereavement can be ascertained in a surveillance survey accounting for biases in response. Estimating bereavement prevalence is needed for measuring population health. This survey is limited to one US state in a single year and excludes persons aged 17 years and younger.

Re-scaling and small area estimation of behavioral risk survey guided by social vulnerability data.

BACKGROUND: Local governments and other public health entities often need population health measures at the county or subcounty level for activities such as resource allocation and targeting public health interventions, among others. Information collected via national surveys alone cannot fill these needs. We propose a novel, two-step method for rescaling health survey data and creating small area estimates (SAEs) of smoking rates using a Behavioral Risk Factor Surveillance System survey administered in 2015 to participants living in Allegheny County, Pennsylvania, USA. METHODS: The first step consisted of a spatial microsimulation to rescale location of survey respondents from zip codes to tracts based on census population distributions by age, sex, race, and education. The rescaling allowed us, in the second step, to utilize available census tract-specific ancillary data on social vulnerability for small area estimation of local health risk using an area-level version of a logistic linear mixed model. To demonstrate this new two-step algorithm, we estimated the ever-smoking rate for the census tracts of Allegheny County. RESULTS: The ever-smoking rate was above 70% for two census tracts to the southeast of the city of Pittsburgh. Several tracts in the southern and eastern sections of Pittsburgh also had relatively high (> 65%) ever-smoking rates. CONCLUSIONS: These SAEs may be used in local public health efforts to target interventions and educational resources aimed at reducing cigarette smoking. Further, our new two-step methodology may be extended to small area estimation for other locations and health outcomes.

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.

Associations Between Positive Childhood Experiences and Adult Smoking and Alcohol Use Behaviors in a Large Statewide Sample.

Childhood experiences are linked to myriad indices of health and wellbeing in adulthood, including substance use behaviors. Increasingly, there has been a paradigm shift in prevention science focused on healthy outcomes of positive experiences. The current study examined associations between retrospective reports of positive childhood experiences and patterns of smoking and alcohol use in adulthood. Data were from the 2019 Montana Behavioral Risk Factor Surveillance System survey (N = 6,495; Mage = 55.9 years; 49% male as assigned at birth). Outcomes examined with regard to positive childhood experiences included lifetime smoking (> 100 cigarettes), current smoking status, and past-month alcohol use indices (i.e., total drinks, typical quantity, heavy episodic drinking, and peak drinking occasion). Positive childhood experience scores were inversely associated with both smoking outcomes (AORs = 0.66 and 0.61). Curiously, positive childhood experiences were positively associated with any past-month alcohol use (AOR = 1.12), but among respondents who did use alcohol in the past month, positive childhood experiences were inversely associated with all indices of alcohol use patterns: total drinks (CR = 0.94), drinks per occasion (CR = 0.95), heavy episodic occasions (AOR = 0.91), and peak drinking (AOR = 0.95). Findings generally indicated that positive childhood experiences may be protective against cigarette and high-risk alcohol use behaviors in adulthood. Item-by-item analyses identified specific childhood experiences that may be particularly protective, which may inform prevention efforts and policy (prevention recommendations are discussed below).

Effects of Adverse Childhood Experiences and Chronic Health Conditions on Current Depression.

This study investigated the ability of three adverse childhood experience (ACE) types (household dysfunction, emotional/physical abuse, and sexual abuse) to predict current depression among adults. We also determined the contribution of ACEs to current depression after controlling for covariates and chronic illnesses. Respondents to the 2010 Behavioral Risk Factor Surveillance System (n = 20,345) were divided into depressed and not depressed groups based on Patient Health Questionnaire-8 (PHQ-8) scores. Binary logistic regression determined the ability of ACE exposure to predict depression while controlling for effects of covariates and number of chronic illnesses. Hierarchical multiple linear regression determined the association of ACEs on depression scores after accounting for the covariate set and chronic illnesses. Sexual Abuse had the single strongest association with current depression of any ACE exposure. Exposure to three ACE types has the greatest association with current depression. ACEs accounted for about 7% of the variance in depression scores.

Grandchildren as Caregivers: Adding a New Layer to the Sandwich Generation.

Although 10% of family caregivers are grandchildren, only a few studies have examined the experience of grandchildren who provide care to grandparents. The current study examined the caregiving processes and outcomes of grandchild caregivers to grandparents. Participants were (N = 5,778) adults identified as a caregiver, including 311 adult grandchildren. Analyses showed that although caregivers to grandparents did not differ significantly from other family caregivers in terms of depression, grandchildren did differ on a variety of demographic and caregiving context variables. A hierarchical binary logistic regression showed that providing personal care and helping with household tasks contribute to the equation, however, grandchild status did not uniquely contribute to the equation after other elements of the caregiving and personal contexts were entered. Post-hoc analyses identified additional predictors within the group of grandchild caregivers. The current study is an important starting point in understanding the experiences of grandchildren caregivers.

Adverse childhood experiences, diabetes and associated conditions, preventive care practices and health care access: A population-based study.

Our objective was to examine how Adverse Childhood Experiences (ACEs) are associated with diabetes mellitus, diabetes-related conditions, and preventive care practices. We used data from the Behavioral Risk Factor Surveillance System (BRFSS) 2009-2012, a cross-sectional, population-based survey, to assess ACEs, diabetes, and health care access in 179,375 adults. In those with diabetes (n = 21,007), we assessed the association of ACEs with myocardial infarction, stroke, and five Healthy People 2020 (HP2020) diabetes-related preventive-care objectives (n = 13,152). Healthcare access indicators included lack of a regular health care provider, insurance, and difficulty affording health care. Regression analyses adjusted for age, sex, and race. The adjusted odds ratio (AOR) of diabetes increased in a stepwise fashion by ACE exposure, ranging from 1.2 (95% CI 1.1-1.3) for 1 ACE to 1.7 (95% CI 1.6-1.9) for ≥4 ACEs, versus having no ACEs. In persons with diabetes, those with ≥4 ACEs had an elevated adjusted odds of myocardial infarction (AOR = 1.6, 95% CI 1.2-2.0) and stroke (AOR = 1.8, 95% CI 1.3-2.4), versus having no ACEs. ACEs were also associated with a reduction in the adjusted percent of HP2020 diabetes objectives met: 72.9% (95% CI 71.3-74.5) for those with no ACEs versus only 66.5% (95% CI 63.8-69.3%) for those with ≥4 ACEs (p = 0.0002). Finally, ACEs predicted worse health care access in a stepwise fashion for all indicators. In conclusion, ACEs are associated with greater prevalence of diabetes and associated disease conditions, and with meeting fewer HP2020 prevention goals. Implementing ACE screening and trauma-informed health care practices are thus recommended.

A latent class analysis of cognitive decline in US adults, BRFSS 2015-2020.

BACKGROUND: Cognitive decline can be an early indicator for dementia. Using quantitative methods and national representative survey data, we can monitor the potential burden of disease at the population-level. METHODS: BRFSS is an annual, nationally representative questionnaire in the United States. The optional cognitive decline module is a six-item self-reported scale pertaining to challenges in daily life due to memory loss and growing confusion over the past twelve months. Respondents are 45+, pooled from 2015-2020. Latent class analysis was used to determine unobserved subgroups of subjective cognitive decline (SCD) based on item response patterns. Multinomial logistic regression predicted latent class membership from socio-demographic covariates. RESULTS: A total of 54,771 reported experiencing SCD. The optimal number of latent classes was three, labeled as Mild, Moderate, and Severe SCD. Thirty-five percent of the sample belonged to the Severe group. Members of this subgroup were significantly less likely to be older (65+ vs. 45-54 OR = 0.29, 95% CI: 0.23-0.35) and more likely to be non-Hispanic Black (OR = 1.80, 95% CI: 1.53-2.11), have not graduated high school (OR = 1.60, 95% CI: 1.34-1.91), or earned <$15K a year (OR = 3.03, 95% CI: 2.43-3.77). CONCLUSIONS: This study determined three latent subgroups indicating severity of SCD and identified socio-demographic predictors. Using a single categorical indicator of SCD severity instead of six separate items improves the versatility of population-level surveillance.

Prevalence and predictors of stroke among individuals with prediabetes and diabetes in Florida.

BACKGROUND: The prevalence of both prediabetes and diabetes have been increasing in Florida. These increasing trends will likely result in increases of stroke burden since both conditions are major risk factors of stroke. However, not much is known about the prevalence and predictors of stroke among adults with prediabetes and diabetes and yet this information is critical for guiding health programs aimed at reducing stroke burden. Therefore, the objectives of this study were to estimate the prevalence and identify predictors of stroke among persons with either prediabetes or diabetes in Florida. METHODS: The 2019 Behavioral Risk Factor Surveillance System (BRFSS) survey data were obtained from the Florida Department of Health and used for the study. Weighted prevalence estimates of stroke and potential predictor variables as well as their 95% confidence intervals were computed for adults with prediabetes and diabetes. A conceptual model of predictors of stroke among adults with prediabetes and diabetes was constructed to guide statistical model building. Two multivariable logistic models were built to investigate predictors of stroke among adults with prediabetes and diabetes. RESULTS: The prevalence of stroke among respondents with prediabetes and diabetes were 7.8% and 11.2%, respectively. The odds of stroke were significantly (p ≤ 0.05) higher among respondents with prediabetes that were ≥ 45 years old (Odds ratio [OR] = 2.82; 95% Confidence Interval [CI] = 0.74, 10.69), had hypertension (OR = 5.86; CI = 2.90, 11.84) and hypercholesterolemia (OR = 3.93; CI = 1.84, 8.40). On the other hand, the odds of stroke among respondents with diabetes were significantly (p ≤ 0.05) higher if respondents were non-Hispanic Black (OR = 1.79; CI = 1.01, 3.19), hypertensive (OR = 3.56; CI = 1.87, 6.78) and had depression (OR = 2.02; CI = 1.14, 3.59). CONCLUSIONS: Stroke prevalence in Florida is higher among adults with prediabetes and diabetes than the general population of the state. There is evidence of differences in the importance of predictors of stroke among populations with prediabetes and those with diabetes. These findings are useful for guiding health programs geared towards reducing stroke burden among populations with prediabetes and diabetes.

Cannabis use among pregnant women under different legalization frameworks in the United States.

Background: Cannabis use in pregnancy is associated with adverse neonatal outcomes, yet its use among pregnant women in the United States has increased significantly.Objectives: This cross-sectional study explored how cannabis use in pregnant women varied between different cannabis legalization frameworks, that is, permitted use of cannabidiol (CBD)-only, medical cannabis, and adult-use cannabis.Methods: Behavioral Risk Factor Surveillance System data from 2017 to 2020 was utilized with respondents classified by their state's policies into CBD-only, medical, and adult-use groups. Outcome measures included prevalence of use and usage characteristics (frequency, method of intake, and reason for use) among pregnant women. Logistic regression models were estimated to evaluate the association between legal status and prevalence of use.Results: The unweighted dataset included 1,992 pregnant women. Recent cannabis use was reported by (weighted proportions): 2.4% (95%CI: 0-4.4) of respondents in the CBD-only group, 7.1% (95%CI: 4.0-10.1) in the medical group and 6.9% (95%CI: 3.0-10.9) in the adult-use group. Compared to the CBD-only group, respondents in the medical and adult-use groups were 4.5-fold (adjusted; 95%CI: 1.4-14.7; p = .01) and 4.7-fold (adjusted; 95%CI: 1.3-16.2; p = .02) more likely to use cannabis. Across all groups, smoking was the most common method of intake and over 49% of users reported using partially or entirely for adult-use purposes.Conclusions: The increased use with legalization motivates further research on the impacts of cannabis as a therapeutic agent during pregnancy and supports the need for increased screening and patient counseling regarding the potential effects of cannabis use on fetal development.

Vision Impairment and Blindness Prevalence in the United States: Variability of Vision Health Responses across Multiple National Surveys.

PURPOSE: To support survey validation efforts by comparing prevalence rates of self-reported and examination evaluated presenting visual impairment (VI) and blindness measured across national surveys. DESIGN: Cross-sectional comparison. PARTICIPANTS: Participants in the 2016 American Community Survey, the 2016 Behavioral Risk Factor Surveillance System, the 2016 National Health Interview Survey, the 2005-2008 National Health and Nutrition Examination Survey (NHANES), and the 2016 National Survey of Children's Health. METHODS: We estimated VI and blindness prevalence rates and confidence intervals for each survey measure and age group using the Clopper-Pearson method. We used inverse variance weighting to estimate the central tendency across measures by age-group, fitted trend lines to age-group estimates, and used the trend-line equations to estimate the number of United States persons with VI and blindness in 2016. We compared self-report estimates with those from NHANES physical evaluations of presenting VI and blindness. MAIN OUTCOME MEASURES: Variability of prevalence estimates of VI and blindness. RESULTS: Self-report estimates of blindness varied between 0.1% and 5.6% for those younger than 65 years and from 0.6% to 16.6% for those 65 or older. Estimates of VI varied between 1.6% and 24.8% for those younger than 65 years and between 2.2% and 26.6% for those 65 years or older. For summarized survey results and NHANES physical evaluation, prevalence rates for VI increased significantly with increasing age group. Blindness prevalence increased significantly with increasing age group for summarized survey responses but not for NHANES physical examination. Based on extrapolations of NHANES physical examination data to all ages, we estimated that in 2016, 23.4 million persons in the United States (7.2%) had VI or blindness, an evaluated presenting visual acuity of 20/40 or worse in the better-seeing eye before correction. Based on weighted self-reported surveys, we estimated that 24.8 million persons (7.7%) had presenting VI or blindness. CONCLUSIONS: Prevalence rates of VI and blindness obtained from national survey measures varied widely across surveys and age groups. Additional research is needed to validate the ability of survey self-report measures of VI and blindness to replicate results obtained through examination by an eye health professional.

Health-related behaviors and health insurance status among US adults: Findings from the 2017 behavioral risk factor surveillance system.

Health insurance coverage has increased overtime in the US. This study examined the associations between health insurance status and adoption of health-related behaviors among US adults. Using data collected through the 2017 Behavioral Risk Factor Surveillance System on health insurance coverage and type of insurance, we examined four health-related behaviors (i.e., no tobacco use, nondrinking or moderate drinking, meeting aerobic physical activity recommendations, and having a healthy body weight) and their associations with health insurance status. We conducted log-linear regression analyses to assess the associations with adjustment for potential confounders. Results showed the percentages of adults who reported no tobacco use or meeting physical activity recommendations were significantly higher, and the percentages of adults with a healthy body weight were significantly lower among those who were insured versus uninsured, or among adults with private insurance versus uninsured. Adults with health insurance also had a higher prevalence of reporting all 4 health-related behaviors than those uninsured. These patterns persisted after multivariable adjustment for potential confounders including sociodemographics, routine checkup, and number of chronic diseases. Adults with public insurance were 7% more likely to report no tobacco use than adults who were uninsured. Additionally, adults with private insurance were 8% and 7% more likely to report no tobacco use and meeting physical activity recommendations, respectively, but 10% less likely to report nondrinking or moderate drinking than adults with public insurance. In conclusion, we found significant associations existed between having health insurance coverage and engaging in some health-related behaviors among US adults.

Chronic respiratory disease disparity between American Indian/Alaska Native and white populations, 2011-2018.

BACKGROUND: American Indian/Alaska Native (AI/AN) populations have been disproportionately affected by chronic respiratory diseases for reasons incompletely understood. Past research into disease disparity using population-based surveys mostly focused on state-specific factors. The present study investigates the independent contributions of AI/AN racial status and other socioeconomic/demographic variables to chronic respiratory disease disparity in an 11-state region with historically high AI/AN representation. Using data from the Behavioral Risk Factor Surveillance System (BRFSS) spanning years 2011-2018, this work provides an updated assessment of disease disparity and potential determinants of respiratory health in AI/AN populations. METHODS: This cross-sectional study used data from the BRFSS survey, 2011-2018. The study population included AI/AN and non-Hispanic white individuals resident in 11 states with increased proportion of AI/AN individuals. The yearly number of respondents averaged 75,029 (62878-87,350) which included approximately 5% AI/AN respondents (4.5-6.3%). We compared the yearly adjusted prevalence for chronic respiratory disease, where disease status was defined by self-reported history of having asthma and/or chronic obstructive pulmonary disease (COPD). Multivariable logistic regression was performed to determine if being AI/AN was independently associated with chronic respiratory disease. Covariates included demographic (age, sex), socioeconomic (marital status, education level, annual household income), and behavioral (smoking, weight morbidity) variables. RESULTS: The AI/AN population consistently displayed higher adjusted prevalence of chronic respiratory disease compared to the non-Hispanic white population. However, the AI/AN race/ethnicity characteristic was not independently associated with chronic respiratory disease (OR, 0.93; 95% CI, 0.79-1.10 in 2017). In contrast, indicators of low socioeconomic status such as annual household income of <$10,000 (OR, 2.02; 95% CI, 1.64-2.49 in 2017) and having less than high school education (OR, 1.37; 95% CI, 1.16-1.63 in 2017) were positively associated with disease. These trends persisted for all years analyzed. CONCLUSIONS: This study highlighted that AI/AN socioeconomic burdens are key determinants of chronic respiratory disease, in addition to well-established risk factors such as smoking and weight morbidity. Disease disparity experienced by the AI/AN population is therefore likely a symptom of disproportionate socioeconomic challenges they face. Further promotion of public health and social service efforts may be able to improve AI/AN health and decrease this disease disparity.

Association between daily and non-daily cannabis use and depression among United States adult cancer survivors.

BACKGROUND: Cancer survivors are vulnerable to Cannabis Use (CU) and at increased risk for depression. Yet, the relationship between CU and depression among cancer survivors is unknown. PURPOSE: The purpose of this study was to estimate the prevalence of daily/non-daily CU, investigate the association between CU and depression and evaluate CU reasons and methods of administration among cancer survivors. METHOD: Population-based, nationally representative sample of cancer survivors aged ≥18 (n = 10,799) from 2018 Behavioral Risk Factor Surveillance System Survey was used. Weighted descriptive statistics and multivariate logistic regression were conducted. FINDINGS: Overall, 4.2% reported daily and 4.1% non-daily CU. Those who self-reported depression had higher prevalence of daily and non-daily CU than those not reporting depression. Daily CU was associated with 120% increased odds of depression (odds ratio = 2.2, 95% confidence interval [1.3, 3.7]) compared with none-users. DISCUSSION: Efforts to improve open communications and evidence-informed discussions regarding benefits and risks of CU and reasons for using cannabis between clinicians and cancer survivors are imperative.