The prevalence of bilateral hearing loss in the United States in 2019: a small area estimation modelling approach for obtaining national, state, and county level estimates by demographic subgroup.

Background: The goal of this study was to re-estimate rates of bilateral hearing loss Nationally, and create new estimates of hearing loss prevalence at the U.S. State and County levels. Methods: We developed small area estimation models of mild, and moderate or worse bilateral hearing loss in the U.S. using data from the National Health and Nutrition Examination Survey (2001-2012, 2015-2018), the American Community Survey (2019), Census County Business Patterns (2019); Social Security Administration Data (2019); Medicare Fee-for-Service and Advantage claims data (2019); the Area Health Resources File (2019), and other sources. We defined hearing loss as mild (>25 dB through 40 dB), moderate or worse (>40 dB), or any (>25 dB) in the better hearing ear based on a 4-frequency pure-tone-average threshold, and created estimates by age group (0-4, 5-17, 18-34, 35-64, 65-74, 75+), gender, race and ethnicity, state, and county. Findings: We estimated that 37.9 million (95% Uncertainty Interval [U.I.] 36.6-39.1) Americans experienced any bilateral hearing loss; 24.9 million (95% U.I. 23.6-26.0) with mild and 13.0 million (95% U.I. 12.1-13.9) with moderate or worse. The prevalence rate of any hearing loss was 11.6% (95% U.I. 11.2%-12.0%). Hearing loss increased with age. Men were more likely to have hearing loss than women after age 35, and non-Hispanic Whites had higher rates of hearing loss than other races and ethnicities. Higher hearing loss prevalence was associated with smaller population size. West Virginia, Alaska, Wyoming, Oklahoma, and Arkansas had the highest standardised rate of bilateral hearing loss, and Washington D.C., New Jersey, New York, Maryland, and Connecticut had the lowest. Interpretation: Bilateral Hearing loss varies by State and County, with variation associated with population age, race and ethnicity, and population size. Geographic estimates can be used to raise local awareness of hearing loss as a problem, to prioritize areas for hearing loss prevention, identification, and treatment, and to guide future research on the hearing loss risk factors that contribute to these differences. Funding: CDC's National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health.

Endorsement of COVID-19 misinformation among criminal legal involved individuals in the United States: Prevalence and relationship with information sources.

Criminal legal system involvement (CLI) is a critical social determinant of health that lies at the intersection of multiple sources of health disparities. The COVID-19 pandemic exacerbates many of these disparities, and specific vulnerabilities faced by the CLI population. This study investigated the prevalence of COVID-19-related misinformation, as well as its relationship with COVID-19 information sources used among Americans experiencing CLI. A nationally representative sample of American adults aged 18+ (N = 1,161), including a subsample of CLI individuals (n = 168), were surveyed in February-March 2021. On a 10-item test, CLI participants endorsed a greater number of misinformation statements (M = 1.88 vs. 1.27) than non-CLI participants, p < .001. CLI participants reported less use of government and scientific sources (p = .017) and less use of personal sources (p = .003) for COVID-19 information than non-CLI participants. Poisson models showed that use of government and scientific sources was negatively associated with misinformation endorsement for non-CLI participants (IRR = .841, p < .001), but not for CLI participants (IRR = .957, p = .619). These findings suggest that building and leveraging trust in important information sources are critical to the containment and mitigation of COVID-19-related misinformation in the CLI population.

Associations between partisan media consumption, opioid use disorder stigma, and opioid policy support: An exploration of the media's role in the ongoing opioid epidemic.

We report on a preliminary investigation into the relationship between partisan media consumption (PMC) among U.S. adults and their (1) opioid use disorder (OUD) stigma, (2) national OUD policy support (e.g., Medicaid coverage for OUD treatment), (3) local OUD policy support (e.g., safe injection sites), (4) discriminatory OUD policies (e.g., denying housing), and (5) carceral OUD policies (e.g., jailing people who use opioids). We performed a cross-sectional survey of a nationally-representative sample of U.S. adults (n = 6,515) from October 1-November 19, 2021. We surveyed a sample of U.S. adults ages 18 and older drawn from NORC's AmeriSpeak® Panel. AmeriSpeak is a probability-based ongoing panel of over 40,000 households designed to represent the U.S. household population. Cross-sectional analyses revealed significant relationships between PMC and OUD stigma (b = 0.29, p <.001, CI95 = 0.14,0.43), support for national (b = -0.31, p <.01, CI95 = -0.54,-0.09) and local policy responses (b = -0.38, p <.001, CI95 = -0.59,-0.17), and support for discriminatory opioid use disorder policies (b = 0.27, p <.01, CI95 = 0.07,0.45). After controlling for self-reported political affiliation and other potential covariates, Republican-leaning media consumption was significantly associated with increased OUD stigma, less support for national and local harm reduction or rehabilitative policies, and more support for discriminatory policies against individuals experiencing OUD. The opposite associations were observed for Democratic-leaning media consumption. Markers for racism mediated the relationship between PMC and support for carceral policies (indirect path b = -0.41,p <.001, CI95 = -0.50,-0.31). Our results indicate that public health advocates must collaborate with conservative leaders to find bipartisan common ground for targeted communication campaigns.

Openness to change among COVID misinformation endorsers: Associations with social demographic characteristics and information source usage.

RATIONALE: Misinformation is a major concern for public health, with its presence and impact strongly felt in the COVID-19 pandemic. Misinformation correction has drawn strong research interest. In contrast, relatively little attention has been given to the likelihood of favorable behavioral change post correction (i.e., openness to change). OBJECTIVE: This study seeks to identify the characteristics of COVID misinformation endorsers who are open to adopt more self-protective behaviors after misinformation correction. METHODS: COVID misinformation endorsers (N = 1991) in a large, nationally representative survey (fielded in October and November 2021) were asked how likely they would adopt self-protective behaviors if a source they trusted debunked their prior misperceptions. Multiple linear regression estimated the relationships between openness to change and socio-demographics, health-related factors, and health information source usage patterns. RESULTS: Less than half of the misinformation endorsers in the sample (41.3%) indicated any openness to change. Openness to change was positively associated with minority status and negatively associated with leaning Republican in political affiliation, higher income, being currently unvaccinated or unsure about vaccination status, better health, and a greater number of misinformation items endorsed. Past-month use of government, community, and personal sources for health information positively predicted openness. The use of online media was negatively associated with openness. CONCLUSIONS: Openness to change is not guaranteed after misinformation correction. Targeted interventions based on openness to change are needed to enhance the public health impact of misinformation correction efforts.

Association Between Social Determinants of Health and Examination-Based Vision Loss vs Self-reported Vision Measures.

Importance: Recent evidence suggests that social determinants of health (SDOH) affect vision loss, but it is unclear whether estimated associations differ between clinically evaluated and self-reported vision loss. Objective: To identify associations between SDOH and evaluated vision impairment and to assess whether these associations hold when examining self-reported vision loss. Design, Setting, and Participants: This population-based cross-sectional comparison included participants 12 years and older in the 2005 to 2008 National Health and Nutrition Examination Survey (NHANES), participants of all ages (infants and older) in the 2019 American Community Survey (ACS), and adults 18 years and older in the 2019 Behavioral Risk Factor Surveillance System (BRFSS). Exposures: Five domains of SDOH that are based on Healthy People 2030: economic stability, education access and quality, health care access and quality, neighborhood and built environment, and social and community context. Main Outcomes and Measures: Presenting vision impairment of 20/40 or worse in the better-seeing eye (NHANES) and self-reported blindness or serious difficulty seeing, even with glasses (ACS and BRFSS). Results: Of 3 649 085 included participants, 1 873 893 were female (51.1%) and 2 504 206 were White (64.4%). SDOH across domains of economic stability, educational attainment, health care access and quality, neighborhood and built environment, and social context were significant predictors of poor vision. For example, higher income (poverty to income ratio [NHANES]: OR, 0.91; 95% CI, 0.85-0.98; [ACS]: OR, 0.93; 95% CI, 0.93-0.94; categorical income [BRFSS:<$15 000 reference]: $15 000-$24 999; OR, 0.91; 95% CI, 0.91-0.91; $25 000-$34 999: OR, 0.80; 95% CI, 0.80-0.80; $35 000-$49 999: OR, 0.71; 95% CI, 0.71-0.72; ≥$50 000: OR, 0.49; 95% CI, 0.49-0.49), employment (BRFSS: OR, 0.66; 95% CI, 0.66-0.66; ACS: OR, 0.55; 95% CI, 0.54-0.55), and owning a home (NHANES: OR, 0.85; 95% CI, 0.73-1.00; BRFSS: OR, 0.82; 95% CI, 0.82-0.82; ACS: OR, 0.79; 95% CI, 0.79-0.79) were associated with lower odds of vision loss. The study team identified no differences in the general direction of the associations when using either clinically evaluated or self-reported vision measures. Conclusions and Relevance: The study team found evidence that associations between SDOH and vision impairment track together when using either clinically evaluated or self-reported vision loss. These findings support the use of self-reported vision data in a surveillance system to track trends in SDOH and vision health outcomes within subnational geographies.

Latent class analysis of medical mistrust and COVID-19 vaccine hesitancy among adults in the United States just prior to FDA emergency use authorization.

Using a nationally representative household sample, we sought to better understand types of medical mistrust as a driver of COVID-19 vaccine hesitancy. We used survey responses to conduct a latent class analysis to classify respondents into categories and explained this classification as a function of sociodemographic and attitudinal variables using multinomial logistic regression models. We then estimated the probability of respondents agreeing to receive a COVID-19 vaccine conditional on their medical mistrust category. We extracted a five-class solution to represent trust. The high trust group (53.0 %) is characterized by people who trust both their doctors and medical research. The trust in own doctor group (19.0 %) trust their own doctors but is ambiguous when it comes to trusting medical research. The high distrust group (6.3 %) neither trust their own doctor nor medical research. The undecided group (15.2 %) is characterized by people who agree on some dimensions and disagree on others. The no opinion group (6.2 %) did not agree nor disagree with any of the dimensions. Relative to the high trust group, those who trust their own doctors are almost 20 percentage points less likely to plan to get vaccinated (average marginal effect (AME) = 0.21, p <.001), and those who have high distrust are 24 percentage points less likely (AME = -0.24, p <.001) to report planning to get the vaccine. Results indicate that beyond sociodemographic characteristics and political attitudes, people's trust archetypes on parts of the medical field significantly predict their probability of wanting to get vaccinated. Our findings suggest that efforts to combat vaccine hesitancy should focus on building capacity of trusted providers to speak with their patients and parents of their patients, to recommend COVID-19 vaccination and build a trusting relationship; and increase trust and confidence in medical research.

Predictors of Mental Health among the General Population of U.S. Adults Eight Months into the COVID-19 Pandemic.

Background: The COVID-19 pandemic has had profound impacts on mental health. We examined whether mental health differed based on sociodemographic and background characteristics, political party affiliation, and concerns about COVID-19. Methods: A cross-sectional, national sample of 1095 U.S. adults were surveyed October 22-26, 2020. The survey collected information on demographics, risk and protective behaviors for COVID-19, and mental health using the Mental Health Inventory-5 (MHI-5) scale. Independent samples t-tests, one-way Analysis of Variance tests, and a multivariable linear regression model were conducted. Results: Regression results showed respondents with criminal justice (B = -6.56, 95% CI = -10.05, -3.06) or opioid misuse (B = -9.98, 95% CI = -14.74, -5.23) histories reported poorer mental health than those without. Those who took protective behaviors (e.g., wearing masks) reported poorer mental health compared to those who indicated protective behaviors were unnecessary (B = 7.00, 95% CI = 1.61, 12.38) while those who took at least one risk behavior (e.g., eating in a restaurant) reported better mental health than those who did not. Conclusions: Our study shows that certain groups have experienced poorer mental health during the COVID-19 pandemic, suggesting that mental health should continue to be monitored so that public health interventions and messaging help prevent the spread of COVID-19 without increasing poor mental health outcomes.

The Economic Burden of Vision Loss and Blindness in the United States.

PURPOSE: To estimate the economic burden of vision loss (VL) in the United States and by state. DESIGN: Analysis of secondary data sources (American Community Survey [ACS], American Time Use Survey, Bureau of Labor Statistics, Medical Expenditure Panel Survey [MEPS], National and State Health Expenditure Accounts, and National Health Interview Survey [NHIS]) using attributable fraction, regression, and other methods to estimate the incremental direct and indirect 2017 costs of VL. PARTICIPANTS: People with a yes response to a question asking if they are blind or have serious difficulty seeing even when wearing glasses in the ACS, MEPS, or NHIS. MAIN OUTCOME MEASURES: We estimated the direct costs of medical, nursing home (NH), and supportive services and the indirect costs of absenteeism, lost household production, reduced labor force participation, and informal care by age group, sex, and state in aggregate and per person with VL. RESULTS: We estimated an economic burden of VL of $134.2 billion: $98.7 billion in direct costs and $35.5 billion in indirect costs. The largest burden components were NH ($41.8 billion), other medical care services ($30.9 billion), and reduced labor force participation ($16.2 billion), all of which accounted for 66% of the total. Those with VL incurred $16 838 per year in incremental burden. Informal care was the largest burden component for people 0 to 18 years of age, reduced labor force participation was the largest burden component for people 19 to 64 years of age, and NH costs were the largest burden component for people 65 years of age or older. New York, Connecticut, Massachusetts, Rhode Island, and Vermont experienced the highest costs per person with VL. Sensitivity analyses indicate total burden may range between $76 and $218 billion depending on the assumptions used in the model. CONCLUSIONS: Self-reported VL imposes a substantial economic burden on the United States. Burden accrues in different ways at different ages, leading to state differences in the composition of per-person costs based on the age composition of the population with VL. Information on state variation can help local decision makers target resources better to address the burden of VL.

National variability in Americans' COVID-19 protective behaviors: Implications for vaccine roll-out.

Protective behaviors such as mask wearing and physical distancing are critical to slow the spread of COVID-19, even in the context of vaccine scale-up. Understanding the variation in self-reported COVID-19 protective behaviors is critical to developing public health messaging. The purpose of the study is to provide nationally representative estimates of five self-reported COVID-19 protective behaviors and correlates of such behaviors. In this cross-sectional survey study of US adults, surveys were administered via internet and telephone. Adults were surveyed from April 30-May 4, 2020, a time of peaking COVID-19 incidence within the US. Participants were recruited from the probability-based AmeriSpeak® national panel. Brief surveys were completed by 994 adults, with 73.0% of respondents reported mask wearing, 82.7% reported physical distancing, 75.1% reported crowd avoidance, 89.8% reported increased hand-washing, and 7.7% reported having prior COVID-19 testing. Multivariate analysis (p critical value .05) indicates that women were more likely to report protective behaviors than men, as were those over age 60. Respondents who self-identified as having low incomes, histories of criminal justice involvement, and Republican Party affiliation, were less likely to report four protective behaviors, though Republicans and individuals with criminal justice histories were more likely to report having received COVID-19 testing. The majority of Americans engaged in COVID-19 protective behaviors, with low-income Americans, those with histories of criminal justice involvement, and self-identified Republicans less likely to engage in these preventive behaviors. Culturally competent public health messaging and interventions might focus on these latter groups to prevent future infections. These findings will remain highly relevant even with vaccines widely available, given the complementarities between vaccines and protective behaviors, as well as the many challenges in delivering vaccines.

Social Stigma toward Persons with Opioid Use Disorder: Results from a Nationally Representative Survey of U.S. Adults.

Background: This study seeks to understand the general adult population's knowledge, attitudes, and stigma towards opioid use disorder (OUD), people with histories of opioid misuse, and policies related to OUD. Methods: We conducted a cross-sectional national survey of the U.S. adult population, using AmeriSpeak's® web, probability-based panel. The number of participants were 947 (493 females and 454 males) general population adults ages 19 -89 years old who completed a self-report survey covering: social stigma of OUD, opioid policy attitudes, perceptions of OUD as a crime, knowledge and beliefs about opioids and treatment, personal experience with opioids and the criminal justice (CJ) system, and demographics. Results: Thirteen percent self-reported ever misusing opioids, 3% reported an opioid overdose, and 14% reported personal experience with the CJ system. On average, the general adult population moderately endorses stigmatizing behaviors, agrees that OUD is a medical condition, agrees with policies to increase access to OUD treatment, and is less likely to endorse OUD as a crime. Having a disregard for OUD as a medical condition was most associated with higher levels of stigma, endorsing OUD as a crime, and disagreeing with policies to help people access OUD treatment. Conclusions: Our data provide guidance to policymakers concerning individuals with certain characteristics to target for public education efforts to reduce stigma and draw more support for public heath interventions for OUD. Our data also suggest that the content of this education should include improving understanding of OUD as a medical condition.

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.