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Caregiving provides numerous benefits to both caregivers and care recipients; however, it can also negatively affect caregivers' mental and physical health (1-4), and caregiving tasks often require physical exertion (1). Approximately 44% of adults with arthritis report limitations attributable to arthritis, including trouble doing daily activities (5). These limitations might affect caregivers' ability to provide care, but little is known about arthritis among caregivers. To assess arthritis among caregivers of a family member or friend, CDC examined data from 17 states that administered both the arthritis and caregiving modules as part of the Behavioral Risk Factor Surveillance System (BRFSS) in either 2017 or 2019. Approximately one in five adults (20.6%) was a caregiver. Prevalence of arthritis was higher among caregivers (35.1%) than noncaregivers (24.5%). Compared with caregivers without arthritis, those with arthritis provided similar types of care and were more likely to have provided care for ≥5 years and for ≥40 hours per week. In addition, higher proportions of caregivers with arthritis reported disabilities compared with those without arthritis, including mobility issues (38.0% versus 7.3%). Arthritis among caregivers might affect their own health as well as the care they can provide. Caregivers can discuss their arthritis and related limitations with a health care professional to identify ways to increase their physical activity and participation in lifestyle management programs.* Such interventions might ease arthritis pain and related limitations and might support them in their ongoing caregiving role. Public health professionals can implement strategies to support caregivers throughout the caregiving process.

Chronic obstructive pulmonary disease (COPD) accounts for the majority of deaths from chronic lower respiratory diseases, the fourth leading cause of death in the United States in 2019.* COPD mortality rates are decreasing overall. Although rates in men remain higher than those in women, declines have occurred among men but not women (1). To examine the geographic variation in sex-specific trends in age-adjusted COPD mortality rates among adults aged ≥25 years, CDC analyzed 1999-2019 death certificate data, by urban-rural status

Generalized Linear Mixed Model (GLMM) has been widely used in small area estimation for health indicators. Bayesian estimation is usually used to construct statistical intervals, however, its computational intensity is a big challenge for large complex surveys. Frequentist approaches, such as bootstrapping, and Monte Carlo (MC) simulation, are also applied but not evaluated in terms of the interval magnitude, width, and the computational time consumed. The 2013 Florida Behavioral Risk Factor Surveillance System data was used as a case study. County-level estimated prevalence of three health-related outcomes was obtained through a GLMM; and their 95% confidence intervals (CIs) were generated from bootstrapping and MC simulation. The intervals were compared to 95% credential intervals through a hierarchial Bayesian model. The results showed that 95% CIs for county-level estimates of each outcome by using MC simulation were similar to the 95% credible intervals generated by Bayesian estimation and were the most computationally efficient. It could be a viable option for constructing statistical intervals for small area estimation in public health practice.

Objectives To examine the association between chronic obstructive pulmonary disease status and indicators of economic instability and stress to better understand the magnitude of these issues in persons with chronic obstructive pulmonary disease. Methods Analyzed 2017 Behavioral Risk Factor Surveillance System data from 16 states that administered the ‘Social Determinants of Health’ module, which included economic instability and stress measures ( N = 101,461). Associations between self-reported doctor-diagnosed chronic obstructive pulmonary disease status and each measure were examined using multinomial logistic models. Results Adults with chronic obstructive pulmonary disease were more likely ( p Discussion Financial, housing, and food insecurity and frequent stress were more prevalent in adults with chronic obstructive pulmonary disease than without. Findings highlight the importance of including strategies to address challenges related to economic instability and stress in chronic obstructive pulmonary disease management programs.

Approximately 20% of U.S. adults are unpaid caregivers (caregivers) (1) who provide support to a family member or friend with a health condition or disability. Although there are benefits to caregiving, it can negatively affect caregivers' physical and mental health (2-4). Much of the assistance caregivers provide, such as administering medications or financial management, relies on cognitive ability, but little is known about caregivers' cognitive functioning. Subjective cognitive decline (SCD), the self-reported experience of worsening or more frequent confusion or memory loss over the past year (5), could affect caregivers' risk for adverse health outcomes and affect the quality of care they provide. CDC analyzed SCD among caregivers aged ≥45 years through a cross-sectional analysis of data from 22 states in the 2015-2019 Behavioral Risk Factor Surveillance System (BRFSS). Among adults aged ≥45 years, SCD was reported by 12.6% of caregivers who provided care to a family member or friend with a health condition or disability in the past 30 days compared with 10.2% of noncaregivers (p

The numerous health benefits of physical activity include reduced risk for chronic disease and improved mental health and quality of life (1). Physical activity can improve physical function and reduce pain and fall risk among adults with arthritis, a group of approximately 100 conditions affecting joints and surrounding tissues (most commonly osteoarthritis, fibromyalgia, gout, rheumatoid arthritis, and lupus) (1). Despite these benefits, the 54.6 million U.S. adults currently living with arthritis are generally less active than adults without arthritis, and only 36.2% of adults with arthritis are aerobically active (i.e., meet aerobic physical activity guidelines*) (2). Little is known about which physical activities adults with arthritis engage in. CDC analyzed 2019 Behavioral Risk Factor Surveillance System (BRFSS) data to examine the most common nonwork-related physical activities among adults with arthritis who reported any physical activity during the past month, nationally and by state. In 2019, 67.2% of adults with arthritis reported engaging in physical activity in the past month; among these persons, the most commonly reported activities were walking (70.8%), gardening (13.3%), and weightlifting (7.3%). In 45 U.S. states, at least two thirds of adults with arthritis who engaged in physical activity reported walking. Health care providers can help inactive adults with arthritis become active and, by encouraging physical activity and referring these persons to evidence-based physical activity programs, improve their health and quality of life.

Cigarette smoking remains the leading cause of preventable disease and death in the United States (1). Although the percentage of all U.S. adults who smoke cigarettes has declined substantially since the mid-1960s (1,2), marked disparities persist, and declines have not been consistent across population groups (1,2). Studies have shown that cigarette smoking is as common, and sometimes more so, among adults with a history of epilepsy compared with those without a history of epilepsy, but reasons for this are unclear (3-6). Compared with adults without epilepsy, adults with epilepsy report lower household income, more unemployment and disability, worse psychological health, and reduced health-related quality of life (3,4,6,7). Trends in cigarette smoking among U.S. adults with epilepsy have not been previously assessed. CDC analyzed National Health Interview Survey (NHIS) data among 121,497 U.S. adults from 2010, 2013, 2015, and 2017 to assess current cigarette smoking by epilepsy status. From 2010 through 2017, the age-standardized percentages of current smoking were 24.9% among adults with active epilepsy, 25.9% among adults with inactive epilepsy, and 16.6% among adults with no history of epilepsy. After accounting for differences in data collection intervals and patterns in smoking status among subgroups, CDC found that current cigarette smoking declined significantly from 2010 to 2017 among adults with no history of epilepsy (19.3% to 14.0% [p

Arthritis is a highly prevalent and disabling condition among U.S. adults (1); arthritis-attributable functional limitations and severe joint pain affect many aspects of health and quality of life (2). Self-management education (self-management) and physical activity can reduce pain and improve the health status and quality of life of adults with arthritis; however, in 2014, only 11.4% and 61.0% of arthritis patients reported engaging in each, respectively. To assess self-reported self-management class attendance and health care provider physical activity counseling among adults with doctor-diagnosed arthritis, CDC analyzed 2019 Behavioral Risk Factor Surveillance System (BRFSS) data. In 2019, an age-standardized state median of one in six (16.2%) adults with arthritis reported ever attending a self-management class, and 69.3% reported ever receiving health care provider counselling to be physically active. Prevalences of both differed by state and sociodemographic characteristics; decreased with lower educational attainment, joint pain severity, and urbanicity; and were lower in men than in women. Health care providers can play an important role in promoting self-management class attendance and physical activity by counseling arthritis patients about their benefits and referring patients to evidence-based programs (3).

Primary care providers (PCPs) can offer counseling to adults with arthritis on physical activity, which can reduce pain and improve physical function, mental health, and numerous other health outcomes. We analyzed cross-sectional 2018 DocStyles data for 1,366 PCPs who reported they always or sometimes recommend physical activity to adults with arthritis. Most PCPs sampled (88.2%) recommended walking, swimming, or cycling; 65.5% did not recommend any evidence-based, arthritis-appropriate physical activity programs recognized by the Centers for Disease Control and Prevention. Opportunities exist for public health awareness campaigns to educate PCPs about evidence-based physical activity programs proven to optimize health for adults with arthritis when more than counseling is needed.

An estimated 54.4 million (approximately one in four) U.S. adults have doctor-diagnosed arthritis (arthritis) (1). Severe joint pain and physical inactivity are common among adults with arthritis and are linked to adverse mental and physical health effects and limitations (2,3). CDC analyzed 2017 Behavioral Risk Factor Surveillance System (BRFSS) data to estimate current state-specific prevalence of arthritis and, among adults with arthritis, the prevalences of severe joint pain and physical inactivity. In 2017, the median age-standardized state prevalence of arthritis among adults aged ≥18 years was 22.8% (range = 15.7% [District of Columbia] to 34.6% [West Virginia]) and was generally highest in Appalachia and Lower Mississippi Valley regions.* Among adults with arthritis, age-standardized, state-specific prevalences of both severe joint pain (median = 30.3%; range = 20.8% [Colorado] to 45.2% [Mississippi]) and physical inactivity (median = 33.7%; range = 23.2% [Colorado] to 44.4% [Kentucky]) were highest in southeastern states. Physical inactivity prevalence among those with severe joint pain (47.0%) was higher than that among those with moderate (31.8%) or no/mild joint pain (22.6%). Self-management strategies such as maintaining a healthy weight or being physically active can reduce arthritis pain and prevent or delay arthritis-related disability. Evidence-based physical activity and self-management education programs are available that can improve quality of life among adults with arthritis.

Previous reports suggest that adults with inflammatory bowel disease (IBD) receive suboptimal preventive care. The population-based study compared the receipt of these services by US adults with and without IBD. Adults aged ≥ 18 years with IBD (1.2%) and without IBD were identified from the 2015 and 2016 National Health Interview Survey (n = 66,610). Age-standardized prevalence of doctor visits, receipt of medical advice, and selected preventive care was calculated for adults with and without IBD. The model-adjusted prevalence ratios were estimated for receipt of preventive care associated with IBD. The prevalence of a doctor visit in the past 12 months was significantly higher among adults with IBD than those without. IBD was also associated with significantly higher prevalence of receiving medical advice about smoking cessation (83.9% vs. 66.4%) and diet (42.9% vs. 32.1%), having colon cancer screening in the past 12 months (44.0% vs. 26.7%), having ever had an HIV test (51.5% vs. 45.4%) or pneumococcal vaccine (75.3% vs. 64.0%), having received a tetanus vaccine in the past 10 years (72.0% vs. 61.8%), and having received a flu vaccine in the past 12 months (48.4% vs. 41.0%), but was not significantly associated with receiving cervical cancer screening and hepatitis A and B vaccines. Adults with IBD were more likely to receive many types of preventive care than adults without IBD. The findings can inform healthcare policy makers to make strategic decisions that enhance multidisciplinary coordination from various medical specialties to ensure optimal preventive care for IBD patients.

Background In this study, the authors report on the geospatial distributions of periodontists and adults with severe periodontitis in the United States. Methods The authors used geospatial analysis to describe the distribution of periodontists and adults, periodontists vis-a-vis estimated density of adults with severe periodontitis, and their ratios to adults with severe periodontitis. The authors identified locations of 5,415 practicing periodontists through the 2014 National Provider Identifier Registry, linked them with the weighted census number of adults, and estimated the number of adults within a series of circular distance zones. Results Approximately 60% of adults 30 through 79 years lived within 5 miles of a periodontist, 73% within 10 miles, 85% within 20 miles, and 97% within 50 miles. Proximity to a periodontist varied widely. In urban areas, 95% of adults resided within 10 miles of a periodontist and 100% within 20 miles. Only 24% of adults in rural areas lived within 10 miles of a periodontist. Most periodontists (96.1%) practiced in urban areas, clustering along the eastern and western coasts and in the Midwest, 3.1% in urban clusters elsewhere, and 0.8% in rural areas. Ratios of fewer than 8,000 adults with periodontitis to 1 or more periodontists within 10 miles were clustered mostly in the Northeast, central East Coast, Florida, West Coast, Arizona, and Midwest. Conclusions In this study, the authors identified wide variations in geographic proximity to a practicing periodontist for adults with severe periodontitis. Practical Implications Dental practitioners may provide preventive care and counseling for periodontitis and referrals for specialty care. Geographic proximity to specialized periodontal care may vary widely by locality.

Purpose: To examine primary care providers' (PCPs) physical activity assessment and recommendation behaviors for adults with arthritis. Design: Cross-sectional. Setting: 2018 DocStyles online national market research survey of US physicians and nurse practitioners. Sample: 1,389 PCPs seeing adults with arthritis. Measures: 2 independent behaviors (assessment and recommendation) as 3 non-mutually exclusive groups: “always assesses,” “always recommends,” and “both” (“always assesses and recommends”). Analysis: Calculated percentages of each group (overall and by PCP characteristics), and multivariable-adjusted prevalence ratios (PRs) using binary logistic regression. Results: Among PCPs, 49.2% always assessed and 57.7% always recommended physical activity; 39.7% did both. Across all 3 groups, percentages were highest for seeing ≥20 adults with arthritis weekly (“both”: 56.4%; “always assesses”: 66.7%; “always recommends”: 71.3%) and lowest among obstetrician/gynecologists (“both”: 26.9%; “always assesses”: 36.8%; “always recommends”: 40.7%). Multivariable-adjusted associations were strongest for seeing ≥20 adults with arthritis weekly (referent: 1-9 adults) and each of “always assesses” (PR = 1.5 [95% confidence interval (CI): 1.3−1.8] and “both” (PR = 1.6 [95% CI: 1.4−1.9]). Conclusions: Approximately 40% of PCPs sampled always engaged in both behaviors (assessing and recommending physical activity) with adults with arthritis; seeing a high volume of adults with arthritis was consistently related to engaging in each behavior. Evidence-based approaches to support PCP counseling include offering provider education and training, raising awareness of available resources, and using health system supports.

The potential for a population at a given location to utilize a health service can be estimated using a newly developed measure called the supply-concentric demand accumulation (SCDA) spatial availability index. Spatial availability is the amount of demand at the given location that can be satisfied by the supply of services at a facility, after discounting the intervening demand among other populations that are located nearer to a facility location than the given population location. This differs from spatial accessibility measures which treat absolute distance or travel time as the factor that impedes utilization. The SCDA is illustrated using pulmonary rehabilitation (PR), which is a treatment for people with chronic obstructive pulmonary disease (COPD). The spatial availability of PR was estimated for each Census block group in Georgia using the 1105 residents who utilized one of 45 PR facilities located in or around Georgia. Data was provided by the Centers for Medicare & Medicaid Services. The geographic patterns of the SCDA spatial availability index and the two-step floating catchment area (2SFCA) spatial accessibility index were compared with the observed PR utilization rate using bivariate local indicators of spatial association. The SCDA index was more associated with PR utilization (Morans I = 0.607, P

Among U.S. adults, over 4 million report a history of epilepsy, and more than 15 million report a history of chronic obstructive pulmonary disease (COPD); Chronic obstructive pulmonary disease, which includes chronic bronchitis and emphysema, is a common somatic comorbidity of epilepsy. This study assessed the relationship between self-reported physician-diagnosed epilepsy and COPD in a large representative sample of the U.S. adult population and explored possible mechanisms.Cross-sectional National Health Interview Surveys for 2013, 2015, and 2017 were aggregated to compare the prevalence of COPD between U.S. respondents aged ≥18 years with a history of physician-diagnosed epilepsy (n = 1783) and without epilepsy (n = 93,126). We calculated prevalence of COPD by age-standardized adjustment and prevalence ratios of COPD overall adjusted for sociodemographic and risk factors, by using multivariable logistic regression analyses. A Z-test was conducted to compare the prevalence between people with and without epilepsy at the statistical significance level of 0.05. Prevalence ratios whose 95% confidence intervals did not overlap 1.00 were considered statistically significant.The overall age-standardized prevalence was 5.7% for COPD and 1.8% for epilepsy. Age-standardized prevalence of COPD among respondents with epilepsy (15.4%) exceeded that among those without epilepsy (5.5%). The association remained significantly different among all sociodemographic and risk factor subgroups (p .05). In the adjusted analyses, epilepsy was also significantly associated with COPD, overall (adjusted prevalence ratio = 1.8, 95% confidence interval = 1.6-2.1) and in nearly all subgroups defined by selected characteristics.Epilepsy is associated with a higher prevalence of COPD in U.S. adults. Public health interventions targeting modifiable behavioral and socioeconomic risk factors among people with epilepsy may help prevent COPD and related premature death.

To report progress, to identify gaps, and to plan epilepsy surveillance and research activities more effectively, the Centers for Disease Control and Prevention (CDC) Epilepsy Program has summarized findings from selected CDC-supported surveillance and epidemiologic studies about epilepsy from 1994 through 2019. We identified publications supported by CDC funding and publications conducted by the CDC Epilepsy Program alone or with partners. We included only epilepsy surveillance and epidemiologic studies focusing on epilepsy burden, epilepsy-related outcomes, and healthcare utilization. We describe the findings of these studies in the following order: 1)prevalence; 2)incidence; 3)epilepsy-related outcomes by selected demographic characteristics; 4)cysticercosis or neurocysticercosis (NCC); 5)traumatic brain injury (TBI); 6)comorbidity; 7)mortality; 8)access to care; 9)quality of care; and 10) cost. We have characterized these findings in relation to the scope of the first three domains of the 2012 Institute of Medicine report on epilepsy and its relevant first four recommendations. From 1994 through 2019, 76 publications on epilepsy-related epidemiologic and surveillance studies were identified. Over the past 25 years, CDC has expanded community, state, and national surveillance on epilepsy and supported epidemiologic studies by using multiple assessment methods and validated case-ascertainment criteria to identify epilepsy burden, epilepsy-related outcomes, and healthcare utilization in the general population or in population subgroups. Among identified research opportunities, studies on epilepsy incidence and risk factors, mortality, and cost are considered as important surveillance gaps. Other remaining gaps and suggested surveillance strategies are also proposed. Findings from this review may help epilepsy researchers and other stakeholders reference and prioritize future activities for epidemiologic and surveillance studies in epilepsy.

Objectives To assess the association between sleep duration and health-related quality of life (HRQOL) among adults with or without chronic conditions. Methods Using the 2014 Behavioral Risk Factor Surveillance System, we analyzed self-reported data from adult respondents aged ≥18 years with (n = 277,757, unhealthy group) and without (n = 172,052. healthy group) reported history of any of nine chronic conditions (coronary heart disease, stroke, cancer, chronic obstructive pulmonary disease, diabetes, asthma, arthritis, depression, chronic kidney disease). Multivariable logistic regressions were separately constructed to assess the associations between sleep duration and four self-reported HRQOL measures after adjustment for sociodemographics, leisure-time physical activity, body mass index, and smoking status among unhealthy and healthy adults. Results The prevalence of poor/fair health, frequent physical distress, frequent mental distress, frequent activity limitation, and short sleep duration was 27.9%, 19.3%, 17.0%, 13.6%, and 38.3% in the unhealthy group and 6.9%, 4.0%, 5.3%, 2.1%, and 31.0% in the healthy group, respectively. U-shaped relationships of sleep duration to all four HRQOL indicators were observed among the unhealthy group and to poor/fair health, frequent mental distress, and frequent activity limitation among the healthy group. The relationships further varied by sex, age, race/ethnicity, and BMI category among the healthy group. Conclusions Relationships between extreme sleep duration and HRQOLs were observed among both healthy and unhealthy groups. These results can help inform public awareness campaigns and physician-counseling regarding the importance of sleep for mental health and well-being.

Objective To assess spatial accessibility measures to on-premise alcohol outlets at census block, census tract, county, and state levels for the United States. Methods Using network analysis in a geographic information system, we computed distance-based measures (Euclidean distance, driving distance, and driving time) to on-premise alcohol outlets for the entire U.S. at the census block level. We then calculated spatial access-based measures, specifically a population-weighted spatial accessibility index and population-weighted distances (Euclidean distance, driving distance, and driving time) to alcohol outlets at the census tract, county, and state levels. A multilevel model-based sensitivity analysis was conducted to evaluate the associations between different on-premise alcohol outlet accessibility measures and excessive drinking outcomes. Results The national average population-weighted driving time to the nearest 7 on-premise alcohol outlets was 5.89 min, and the average population-weighted driving distance was 2.63 miles. At the state level, population-weighted driving times ranged from 1.67 min (DC) to 15.29 min (Arizona). Population-weighted driving distances ranged from 0.67 miles (DC) to 7.91 miles (Arkansas). At the county level, population-weighted driving times and distances exhibited significant geographic variations, and averages for both measures increased by the degree of county rurality. The population-weighted spatial accessibility indexes were highly correlated to respective population-weighted distance measures. Sensitivity analysis demonstrated that population weighted accessibility measures were more sensitive to excessive drinking outcomes than were population weighted distance measures. Conclusions These results can be used to assess the relationship between geographic access to on-premise alcohol outlets and health outcomes. This study demonstrates a flexible and robust method that can be applied or modified to quantify spatial accessibility to public resources such as healthy food stores, medical care providers, and parks and greenspaces, as well as, quantify spatial exposure to local adverse environments such as tobacco stores and fast food restaurants. Electronic supplementary material The online version of this article (10.1186/s12942-018-0143-y) contains supplementary material, which is available to authorized users.

Approximately 3 million American adults reported active epilepsy* in 2015 (1). Active epilepsy, especially when seizures are uncontrolled, poses substantial burdens because of somatic, neurologic, and mental health comorbidity; cognitive and physical dysfunction; side effects of antiseizure medications; higher injury and mortality rates; poorer quality of life; and increased financial cost (2). Thus, prompt diagnosis and seizure control (i.e., seizure-free in the 12 months preceding the survey) confers numerous clinical and social advantages to persons with active epilepsy. To obtain recent and reliable estimates of active epilepsy and seizure control status in the U.S. population, CDC analyzed aggregated data from the 2013 and the 2015 National Health Interview Surveys (NHISs). Overall, an annual estimated 2.6 million (1.1%) U.S. adults self-reported having active epilepsy, 67% of whom had seen a neurologist or an epilepsy specialist in the past year, and 90% of whom reported taking epilepsy medication. Among those taking epilepsy medication, only 44% reported having their seizures controlled. A higher prevalence of active epilepsy and poorer seizure control were associated with low family income, unemployment, and being divorced, separated, or widowed. Use of epilepsy medication was higher among adults who saw an epilepsy specialist in the past year than among those who did not. Health care and public health should ensure that adults with uncontrolled seizures have appropriate care and self-management support in order to promote seizure control, improve health and social outcomes, and reduce health care costs.

Chronic obstructive pulmonary disease (COPD) accounts for the majority of deaths from chronic lower respiratory diseases, the third leading cause of death in the United States in 2015 and the fourth leading cause in 2016.* Major risk factors include tobacco exposure, occupational and environmental exposures, respiratory infections, and genetics.† State variations in COPD outcomes (1) suggest that it might be more common in states with large rural areas. To assess urban-rural variations in COPD prevalence, hospitalizations, and mortality; obtain county-level estimates; and update state-level variations in COPD measures, CDC analyzed 2015 data from the Behavioral Risk Factor Surveillance System (BRFSS), Medicare hospital records, and death certificate data from the National Vital Statistics System (NVSS). Overall, 15.5 million adults aged ≥18 years (5.9% age-adjusted prevalence) reported ever receiving a diagnosis of COPD; there were approximately 335,000 Medicare hospitalizations (11.5 per 1,000 Medicare enrollees aged ≥65 years) and 150,350 deaths in which COPD was listed as the underlying cause for persons of all ages (40.3 per 100,000 population). COPD prevalence, Medicare hospitalizations, and deaths were significantly higher among persons living in rural areas than among those living in micropolitan or metropolitan areas. Among seven states in the highest quartile for all three measures, Arkansas, Kentucky, Mississippi, and West Virginia were also in the upper quartile (≥18%) for rural residents. Overcoming barriers to prevention, early diagnosis, treatment, and management of COPD with primary care provider education, Internet access, physical activity and self-management programs, and improved access to pulmonary rehabilitation and oxygen therapy are needed to improve quality of life and reduce COPD mortality.

Insufficient sleep among children and adolescents is associated with increased risk for obesity, diabetes, injuries, poor mental health, attention and behavior problems, and poor academic performance (1-4). The American Academy of Sleep Medicine has recommended that, for optimal health, children aged 6-12 years should regularly sleep 9-12 hours per 24 hours and teens aged 13-18 years should sleep 8-10 hours per 24 hours (1). CDC analyzed data from the 2015 national, state, and large urban school district Youth Risk Behavior Surveys (YRBSs) to determine the prevalence of short sleep duration (

Background Epilepsy is associated with a high prevalence of sleep disturbance. However, population-based studies on the burden of sleep disturbance in people with epilepsy are limited. This study assessed sleep duration and sleep quality by epilepsy status in the general U.S. adult population aged ≥ 18 years. Methods We pooled data of cross-sectional National Health Interview Surveys in 2013, 2015, and 2017 to compare the prevalence of sleep duration and quality among those without epilepsy (N = 93,126) with those with any epilepsy (a history of physician-diagnosed epilepsy) (N = 1774), those with active epilepsy (those with a history of physician-diagnosed epilepsy who were currently taking medication to control it, had one or more seizures in the past year, or both) (N = 1101), and those with inactive epilepsy (those with a history of physician-diagnosed epilepsy who were neither taking medication for epilepsy nor had had a seizure in the past year) (N = 673). We also compared these measures between those with active and those with inactive epilepsy. The prevalences were adjusted for sociodemographics, behaviors, and health covariates, with multivariable logistic regression. We used Z-tests to compare prevalences of sleep duration and quality at the statistical significance level of 0.05. Results Adults with any epilepsy reported significantly higher adjusted prevalences of short sleep duration ( 9 h per day) (6.7% vs. 3.7%) but a lower prevalence of healthy sleep duration (7–9 h per day) (57.4% vs.64.6%) than those without epilepsy. In the past week, adults with any epilepsy reported significantly higher adjusted prevalences than adults without epilepsy of having trouble falling asleep (25.0% vs. 20.3%), staying asleep (34.4% vs. 26.3%), nonrestorative sleep (adults did not wake up feeling well rested) (≥3 days) (50.3% vs. 44.3%), and taking medication to help themselves fall asleep or stay asleep (≥1 times) (20.9% vs. 13.5%). However, adults with active epilepsy did not differ from adults with inactive epilepsy with respect to these sleep duration and quality measures. Conclusions Adults with epilepsy reported more short or long sleep duration and worse sleep quality than those without epilepsy. Neither seizure occurrence nor antiepileptic drug use accounted for these differences in sleep duration and quality. Careful screening for sleep complaints as well as identifying and intervening on the modifiable risk factors associated with sleep disturbances among people with epilepsy could improve epilepsy outcomes and quality of life.

Alzheimer's disease (Alzheimer's), an ultimately fatal form of dementia, is the sixth leading cause of death in the United States, accounting for 3.6% of all deaths in 2014 (1,2). Alzheimer's deaths can be an indicator of paid and unpaid caregiver burden because nearly everyone in the final stages of Alzheimer's needs constant care, regardless of the setting, as the result of functional and cognitive declines (2). To examine deaths with Alzheimer's as the underlying cause, state-level and county-level death certificate data from the National Vital Statistics System for the period 1999-2014 were analyzed. A total of 93,541 Alzheimer's deaths occurred in the United States in 2014 at an age-adjusted (to the 2000 standard population) rate of 25.4 deaths per 100,000 population, a 54.5% increase compared with the 1999 rate of 16.5 deaths per 100,000. Most deaths occurred in a nursing home or long-term care facility. The percentage of Alzheimer's decedents who died in a medical facility (e.g., hospital) declined from 14.7% in 1999 to 6.6% in 2014, whereas the percentage who died at home increased from 13.9% in 1999 to 24.9% in 2014. Significant increases in Alzheimer's deaths coupled with an increase in the number of persons with Alzheimer's dying at home have likely added to the burden on family members or other unpaid caregivers. Caregivers might benefit from interventions such as education, respite care, and case management that can lessen the potential burden of caregiving and can improve the care received by persons with Alzheimer's.

In 2009, an estimated 565,000 Americans had Crohn's disease (1), an inflammatory bowel disorder that can affect any part of the gastrointestinal tract. Symptoms include persistent diarrhea, abdominal cramps and pain, constipation leading to bowel obstruction, and rectal bleeding.* Symptoms sometimes intensify in severity and require hospitalization and surgeries of the small intestine, colon, or rectum (2). Hospital discharge data from the National Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project (HCUP) were used to estimate U.S. hospitalizations† for Crohn's disease as both the first-listed and any-listed§ discharge diagnosis and common surgical procedures during hospitalizations with Crohn's disease as first-listed diagnosis from 2003 to 2013, the most recent decade of data. Despite new therapies that were expected to improve remission and reduce hospitalizations, estimated numbers (and age-adjusted rates per 100,000 U.S. population) of hospitalizations for Crohn's disease as the first-listed diagnosis did not change significantly from 2003 to 2013. The proportion of these hospitalizations during which small bowel resection was performed decreased from 4.9% in 2003 to 3.9% in 2013 (p 120,000 (44.2 per 100,000) in 2003 to >196,000 (59.7 per 100,000) in 2013 (p

Persons living in rural areas are recognized as a health disparity population because the prevalence of disease and rate of premature death are higher than for the overall population of the United States. Surveillance data about health-related behaviors are rarely reported by urban-rural status, which makes comparisons difficult among persons living in metropolitan and nonmetropolitan counties.2013.The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed landline- and cellular-telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services related to the leading causes of death and disability. BRFSS data were analyzed for 398,208 adults aged ≥18 years to estimate the prevalence of five self-reported health-related behaviors (sufficient sleep, current nonsmoking, nondrinking or moderate drinking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations) by urban-rural status. For this report, rural is defined as the noncore counties described in the 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties.Approximately one third of U.S. adults practice at least four of these five behaviors. Compared with adults living in the four types of metropolitan counties (large central metropolitan, large fringe metropolitan, medium metropolitan, and small metropolitan), adults living in the two types of nonmetropolitan counties (micropolitan and noncore) did not differ in the prevalence of sufficient sleep; had higher prevalence of nondrinking or moderate drinking; and had lower prevalence of current nonsmoking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations. The overall age-adjusted prevalence of reporting at least four of the five health-related behaviors was 30.4%. The prevalence among the estimated 13.3 million adults living in noncore counties was lower (27.0%) than among those in micropolitan counties (28.8%), small metropolitan counties (29.5%), medium metropolitan counties (30.5%), large fringe metropolitan counties (30.2%), and large metropolitan centers (31.7%).This is the first report of the prevalence of these five health-related behaviors for the six urban-rural categories. Nonmetropolitan counties have lower prevalence of three and clustering of at least four health-related behaviors that are associated with the leading chronic disease causes of death. Prevalence of sufficient sleep was consistently low and did not differ by urban-rural status.Chronic disease prevention efforts focus on improving the communities, schools, worksites, and health systems in which persons live, learn, work, and play. Evidence-based strategies to improve health-related behaviors in the population of the United States can be used to reach the Healthy People 2020 objectives for these five self-reported health-related behaviors (sufficient sleep, current nonsmoking, nondrinking or moderate drinking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations). These findings suggest an ongoing need to increase public awareness and public education, particularly in rural counties where prevalence of these health-related behaviors is lowest.

INTRODUCTION: Caregiving, providing regular care or assistance to family members or friends with health problems or disabilities, may affect caregivers’ sleep. This study examined self-reported short sleep duration by caregiving status among US adults. METHODS: Data from 114,496 respondents aged ≥18 years in 19 states, the District of Columbia, and Puerto Rico from the 2016 Behavioral Risk Factor Surveillance System were analyzed. Prevalence of short sleep duration (

INTRODUCTION More than 54 million US adults have arthritis, and more than 15 million US adults have chronic obstructive pulmonary disease (COPD). Arthritis and COPD share many risk factors, such as tobacco use, asthma history, and age. The objective of this study was to assess the relationship between self-reported physician-diagnosed COPD and arthritis in the US adult population. METHODS We analyzed data from 408,774 respondents aged 18 or older in the 2016 Behavioral Risk Factor Surveillance System to assess the association between self-reported physician-diagnosed COPD and arthritis in the US adult population by using multivariable logistic regression analyses. RESULTS Overall crude prevalence was 6.4% for COPD and 25.2% for arthritis. The prevalence of age-adjusted COPD was higher among respondents with arthritis than among respondents without arthritis (13.7% vs 3.8%, P < .001). The association remained significant among most subgroups (P < .001) particularly among adults aged 18 to 44 (11.5% vs 2.0%) and never smokers (7.6% vs 1.7%). In multivariable logistic regression analyses, arthritis status was significantly associated with COPD status after controlling for sociodemographic characteristics, risk behaviors, and health-related quality of life measures (adjusted prevalence ratio = 1.5, 95% confidence interval, 1.4-1.5, P < .001). CONCLUSION Our results confirmed that arthritis is associated with a higher prevalence of COPD in the US adult population. Health care providers may assess COPD and arthritis symptoms for earlier detection of each condition and recommend that patients with COPD and/or arthritis participate in pulmonary rehabilitation and self-management education programs such as the Chronic Disease Self-Management Program, the proven benefits of which include increased aerobic activity and reduced shortness of breath, pain, and depression.

Cigarette smoking is the leading cause of chronic obstructive pulmonary disease (COPD) in the United States; however, an estimated one fourth of adults with COPD have never smoked (1). CDC analyzed state-specific Behavioral Risk Factor Surveillance System (BRFSS) data from 2017, which indicated that, overall among U.S. adults, 6.2% (age-adjusted) reported having been told by a health care professional that they had COPD. The age-adjusted prevalence of COPD was 15.2% among current cigarette smokers, 7.6% among former smokers, and 2.8% among adults who had never smoked. Higher prevalences of COPD were observed in southeastern and Appalachian states, regardless of smoking status of respondents. Whereas the strong positive correlation between state prevalence of COPD and state prevalence of current smoking was expected among current and former smokers, a similar relationship among adults who had never smoked suggests secondhand smoke exposure as a potential risk factor for COPD. Continued promotion of smoke-free environments might reduce COPD among both those who smoke and those who do not.

Previous reports suggest that adults with inflammatory bowel disease (IBD) receive suboptimal preventive care.The population-based study compared the receipt of these services by US adults with and without IBD.Adults aged ≥ 18 years with IBD (1.2%) and without IBD were identified from the 2015 and 2016 National Health Interview Survey (n = 66,610). Age-standardized prevalence of doctor visits, receipt of medical advice, and selected preventive care was calculated for adults with and without IBD. The model-adjusted prevalence ratios were estimated for receipt of preventive care associated with IBD.The prevalence of a doctor visit in the past 12 months was significantly higher among adults with IBD than those without. IBD was also associated with significantly higher prevalence of receiving medical advice about smoking cessation (83.9% vs. 66.4%) and diet (42.9% vs. 32.1%), having colon cancer screening in the past 12 months (44.0% vs. 26.7%), having ever had an HIV test (51.5% vs. 45.4%) or pneumococcal vaccine (75.3% vs. 64.0%), having received a tetanus vaccine in the past 10 years (72.0% vs. 61.8%), and having received a flu vaccine in the past 12 months (48.4% vs. 41.0%), but was not significantly associated with receiving cervical cancer screening and hepatitis A and B vaccines.Adults with IBD were more likely to receive many types of preventive care than adults without IBD. The findings can inform healthcare policy makers to make strategic decisions that enhance multidisciplinary coordination from various medical specialties to ensure optimal preventive care for IBD patients.

The purpose of this study was to examine both the distribution of payers for inpatient hospitalizations (all-ages) by principal diagnosis status (epilepsy versus nonepilepsy) and selected organizational- and community-level factors associated with hospitalizations using the Agency for Healthcare Research and Quality's (AHRQ) Healthcare Utilization Project 2016 National Inpatient Sample (NIS) database. We compared cases with epilepsy (any ICD-10CM diagnostic code beginning with “G40”) as a principal diagnosis (“epilepsy discharges”) versus cases without epilepsy as the principal diagnosis (“nonepilepsy discharges”). Accounting for the complex survey design, we examined how the principal payer source, median income for Zip Code, admission type, hospital location, teaching status, and hospital region varied by principal diagnosis status. For persons of all ages with epilepsy as a principal diagnosis, Medicaid and Medicare public insurance paid for about 65% of inpatient hospitalization costs. The percentage paid by Medicaid among epilepsy discharges (31.6%) significantly exceeded that among nonepilepsy discharges (23.1%). The percentage paid by Medicare among epilepsy discharges (33.9%) was significantly less than that among nonepilepsy discharges (39.7%), as was payment by private insurers (26.1% vs. 30.1%). Median Zip Code income, hospital and admission characteristics, and geographic region differed between hospitalizations with epilepsy versus those with a nonepilepsy discharge. These findings may be used to inform stakeholders’ understanding of epilepsy care-related costs and factors associated with hospitalizations for improved interventions and programs.

Background Geographic clusters in prevalence and hospitalizations for COPD have been identified at national, state, and county levels. The study objective is to identify county-level geographic accessibility to pulmonologists for adults with COPD. Methods Service locations of 12,392 practicing pulmonologists and 248,160 primary care physicians were identified from the 2013 National Provider Identifier Registry and weighted by census block-level populations within a series of circular distance buffer zones. Model-based county-level population counts of US adults ≥ 18 years of age with COPD were estimated from the 2013 Behavioral Risk Factor Surveillance System. The percentages of all estimated adults with potential access to at least one provider type and the county-level ratio of adults with COPD per pulmonologist were estimated for selected distances. Results Most US adults (100% in urbanized areas, 99.5% in urban clusters, and 91.7% in rural areas) had geographic access to a primary care physician within a 10-mile buffer distance; almost all (≥ 99.9%) had access to a primary care physician within 50 miles. At least one pulmonologist within 10 miles was available for 97.5% of US adults living in urbanized areas, but only for 38.3% in urban clusters and 34.5% in rural areas. When distance increased to 50 miles, at least one pulmonologist was available for 100% in urbanized areas, 93.2% in urban clusters, and 95.2% in rural areas. County-level ratios of adults with COPD per pulmonologist varied greatly across the United States, with residents in many counties in the Midwest having no pulmonologist within 50 miles. Conclusions County-level geographic variations in pulmonologist access for adults with COPD suggest that those adults with limited access will have to depend on care from primary care physicians.

Racial/ethnic health disparities are infrequently considered by nativity status in the United States, although the immigrant population has practically doubled since 1990. We investigated the modifying role of nativity status (US- vs. foreign-born) on racial/ethnic disparities in short sleep duration (7 h), which has serious health consequences.Cross-sectional data from 23,505 US-born and 4,326 foreign-born adults aged ≥ 18 years from the 2012 National Health Interview Survey and multivariable log-linear regression were used to estimate prevalence ratios (PR) for reporting short sleep duration and their corresponding 95% confidence intervals (CI).After controlling for sociodemographic covariates, short sleep was more prevalent among blacks (PR 1.29, 95% CI: 1.21-1.37), Hispanics (PR 1.18, 95% CI: 1.08, 1.29), and Asians (PR 1.37, 95% CI: 1.16-1.61) than whites among US-born adults. Short sleep was more prevalent among blacks (PR 1.71, 95% CI: 1.38, 2.13) and Asians (PR 1.23, 95% CI: 1.02, 1.47) than whites among the foreign-born.Among both US- and foreign-born adults, blacks and Asians had a higher likelihood of short sleep compared to whites. US-born Hispanics, but not foreign-born Hispanics, had a higher likelihood than their white counterparts. Future research should aim to uncover mechanisms underlying these disparities.

Insufficient sleep is common among high school students and has been associated with an increased risk for motor vehicle crashes (1), sports injuries (2), and occupational injuries (3). To evaluate the association between self-reported sleep duration on an average school night and several injury-related risk behaviors (infrequent bicycle helmet use, infrequent seatbelt use, riding with a driver who had been drinking, drinking and driving, and texting while driving) among U.S. high school students, CDC analyzed data from 50,370 high school students (grades 9-12) who participated in the national Youth Risk Behavior Surveys (YRBSs) in 2007, 2009, 2011, or 2013. The likelihood of each of the five risk behaviors was significantly higher for students who reported sleeping ≤7 hours on an average school night; infrequent seatbelt use, riding with a drinking driver, and drinking and driving were also more likely for students who reported sleeping ≥10 hours compared with 9 hours on an average school night. Although insufficient sleep directly contributes to injury risk, some of the increased risk associated with insufficient sleep might be caused by engaging in injury-related risk behaviors. Intervention efforts aimed at these behaviors might help reduce injuries resulting from sleepiness, as well as provide opportunities for increasing awareness of the importance of sleep.

BACKGROUND Insufficient sleep in adolescents has been shown to be associated with a wide variety of adverse outcomes, from poor mental and physical health to behavioral problems and lower academic grades. However, most high school students do not get sufficient sleep. Delaying school start times for adolescents has been proposed as a policy change to address insufficient sleep in this population and potentially to improve students' academic performance, reduce engagement in risk behaviors, and improve health. METHODS This article reviews 38 reports examining the association between school start times, sleep, and other outcomes among adolescent students. RESULTS Most studies reviewed provide evidence that delaying school start time increases weeknight sleep duration among adolescents, primarily by delaying rise times. Most of the studies saw a significant increase in sleep duration even with relatively small delays in start times of half an hour or so. Later start times also generally correspond to improved attendance, less tardiness, less falling asleep in class, better grades, and fewer motor vehicle crashes. CONCLUSIONS Although additional research is necessary, research results that are already available should be disseminated to stakeholders to enable the development of evidence-based school policies.

Background Cigarette smoking is the predominant cause of COPD. Quitting can prevent development of and complications from COPD. The gold standard in clinician delivery of smoking cessation treatments is the 5As (ask, advise, assess, assist, arrange). This study assessed prevalence and correlates of self-reported receipt of the 5A strategies among adult smokers with and without COPD. Methods Data were analyzed from 20,021 adult past-year cigarette smokers in the 2009-2010 National Adult Tobacco Survey, a nationally representative telephone survey of US adults 18 years of age and older. Past-year receipt of the 5As was self-reported by participants who saw a clinician in the past year. Logistic regression was used to estimate the likelihood of receipt of each of the 5As by COPD status, adjusted for sociodemographic and smoking characteristics. Results Among smokers, those with COPD were more likely than those without COPD to report being asked about tobacco use (95.4% vs 85.8%), advised to quit (87.5% vs 59.4%), assessed for readiness to quit (63.8% vs 37.9%), offered any assistance to quit (58.6% vs 34.0%), and offered follow-up (14.9% vs 5.2%). In adjusted logistic regression models, those with COPD were significantly more likely than those without COPD to receive each of the 5As. Conclusions Health professionals should continue to prioritize tobacco cessation counseling and treatment to smokers with COPD. Increased system-level changes and insurance coverage for cessation treatments could be used to improve the delivery of brief tobacco cessation counseling to all smokers, regardless of COPD status.

To promote optimal health and well-being, adults aged 18-60 years are recommended to sleep at least 7 hours each night (1). Sleeping

To inform public health efforts to prevent epilepsy-related deaths, we used the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (WONDER; Wonder.cdc.gov) to examine any-listed epilepsy deaths for the period 2005-2014 by age groups (≤24, 25-44, 45-64, 65-84, ≥85years), sex, and race/ethnicity (non-Hispanic White, non-Hispanic African American, Hispanic, Asian/Pacific Islander, or American Indian/Alaska Native). Epilepsy deaths were defined by the International Classification of Diseases, Tenth Revision (ICD-10) codes G40.0-G40.9. The total number of deaths per year with epilepsy as any listed cause ranged from 1760 in 2005 to 2962 in 2014. Epilepsy was listed as the underlying cause of death for about 54% of all deaths with any mention of epilepsy in 2005 and for 43% of such deaths in 2014. Age-adjusted epilepsy mortality rates (as any-listed cause of death) per 100,000 significantly increased from 0.58 in 2005 to 0.85 in 2014 (47% increase). In 2014, deaths among the non-Hispanic Black population (1.42 deaths per 100,000) were higher than among non-Hispanic White (0.86 deaths per 100,000) and Hispanic populations (0.70 deaths per 100,000). Males had a higher mortality rate than females (1.01 per 100,000 versus 0.74 per 100,000 in 2014), and those aged 85years or older had the highest mortality among age groups. Results highlight the need for heightened action to prevent and monitor epilepsy-associated mortality.

This study used the most recent national data on epilepsy from the 2017 National Health Interview Survey (NHIS) to examine the distribution of types of provider visits in the last 12 months among 2.9 million adult respondents aged ≥ 18 years with active epilepsy (self-reported doctor-diagnosed epilepsy taking antiseizure medications and/or having ≥ 1 seizure in the past year) and compared these estimates with 2010 NHIS data. We calculated age-standardized percentages of visits to a general doctor and an epilepsy specialist during the past 12 months, accounting for the complex survey design. Among US adults with active epilepsy in 2017, 27.1% saw a general doctor only, 9.0% saw a neurologist/epilepsy specialist only, 53.0% visited both a general doctor and a neurologist/epilepsy specialist, and 11.4% did not see either a general doctor or a neurologist/specialist. Overall, 62.0% [95% confidence interval (CI) = 55.2%–67.5%] of adults with active epilepsy visited a neurologist or epilepsy specialist in the past year. A visit in the past 12 months with both provider types was not significantly different in 2017 compared with 2010 (53.0% vs 46.2%) while seeing a general doctor only had declined (41.8% vs 27.1%, p, Highlights • We used NHIS data to examine past 12-month provider visits for adults with epilepsy. • In 2017, 62% of adults visited a neurologist or epilepsy specialist in the past year. • In 2017, 27% of US adults with epilepsy saw a general doctor only. • In 2017, 11% of adults did not see either a general doctor or a neurologist/specialist. • Past 12-month visits with both provider types were the same in 2017 as in 2010.

Background We used a multilevel regression and poststratification approach to generate estimates of health-related outcomes using Behavioral Risk Factor Surveillance System 2013 (BRFSS) data for the 500 US cities. We conducted an empirical study to investigate whether the approach is robust using different health surveys. Methods We constructed a multilevel logistic model with individual-level age, sex, and race/ethnicity as predictors (Model I), and sequentially added educational attainment (Model II) and area-level poverty (Model III) for 5 health-related outcomes using the nationwide BRFSS, the Massachusetts BRFSS 2013 (a state subset of nationwide BRFSS), and the Boston BRFSS 2010/2013 (an independent survey), respectively. We applied each model to the Boston population (2010 Census) to predict each outcome in Boston and compared each with corresponding Boston BRFSS direct estimates. Results Using Model I for the nationwide BRFSS, estimates of diabetes, high blood pressure, physical inactivity, and binge drinking fell within the 95% confidence interval of corresponding Boston BRFSS direct estimates. Adding educational attainment and county-level poverty (Models II and III) further improved their accuracy, particularly for current smoking (the model-based estimate was 15.2% by Model I and 18.1% by Model II). The estimates based on state BRFSS and Boston BRFSS models were similar to those based on the nationwide BRFSS, but area-level poverty did not improve the estimates significantly. Conclusion The estimates of health-related outcomes were similar using different health surveys. Model specification could vary by surveys with different geographic coverage.

An estimated 54.4 million (22.7%25) U.S. adults have doctor-diagnosed arthritis (1). A report in 2012 found that, among adults aged ≥45 years with arthritis, approximately one third reported having anxiety or depression, with anxiety more common than depression (2). Studies examining mental health conditions in adults with arthritis have focused largely on depression, arthritis subtypes, and middle-aged and older adults, or have not been nationally representative (3). To address these knowledge gaps, CDC analyzed 2015-2017 National Health Interview Survey (NHIS) data* to estimate the national prevalence of clinically relevant symptoms of anxiety and depression among adults aged ≥18 years with arthritis. Among adults with arthritis, age-standardized prevalences of symptoms of anxiety and depression were 22.5%25 and 12.1%25, respectively, compared with 10.7%25 and 4.7%25 among adults without arthritis. Successful treatment approaches to address anxiety and depression among adults with arthritis are multifaceted and include screenings, referrals to mental health professionals, and evidence-based strategies such as regular physical activity and participation in self-management education to improve mental health.

Few studies have addressed recent trends in hospitalization costs for inflammatory bowel disease (IBD). We explored trends and described patient and hospital factors associated with hospitalization costs for IBD. Using data from the 2003–2014 National Inpatient Sample for adults aged ≥ 18 years, we estimated costs using multivariable linear models and assessed linear trends by time periods using piecewise linear regressions. In 2014, there were an estimated 56,290 hospitalizations for Crohn’s disease (CD), with a mean cost of US$11,345 and median cost of US$7592; and 33,585 hospitalizations for ulcerative colitis (UC), with a mean cost of US$13,412 and median cost of US$8873. Higher costs were observed among Hispanic [adjusted cost ratio (ACR) = 1.07; 95% confidence interval (CI) = 1.00–1.14; p = 0.04] or other non-Hispanic (ACR = 1.09; 95% CI = 1.02–1.17; p = 0.01) CD patients than for non-Hispanic White CD patients. For UC patients, higher costs were observed among men (ACR = 1.09; 95% CI = 1.05–1.13; p

Introduction Alzheimer's disease and related dementias (ADRD) cause a high burden of morbidity and mortality in the United States. Age, race, and ethnicity are important risk factors for ADRD. Methods We estimated the future US burden of ADRD by age, sex, and race and ethnicity by applying subgroup-specific prevalence among Medicare Fee-for-Service beneficiaries aged ≥65 years in 2014 to subgroup-specific population estimates for 2014 and population projection data from the United States Census Bureau for 2015 to 2060. Results The burden of ADRD in 2014 was an estimated 5.0 million adults aged ≥65 years or 1.6% of the population, and there are significant disparities in ADRD prevalence among population subgroups defined by race and ethnicity. ADRD burden will double to 3.3% by 2060 when 13.9 million Americans are projected to have the disease. Discussion These estimates can be used to guide planning and interventions related to caring for the ADRD population and supporting caregivers.