County-Level Geographic Disparities in Disabilities Among US Adults, 2018.

INTRODUCTION: Local data are increasingly needed for public health practice. County-level data on disabilities can be a valuable complement to existing estimates of disabilities. The objective of this study was to describe the county-level prevalence of disabilities among US adults and identify geographic clusters of counties with a higher or lower prevalence of disabilities. METHODS: We applied a multilevel logistic regression and poststratification approach to geocoded 2018 Behavioral Risk Factor Surveillance System data, Census 2018 county-level population estimates, and American Community Survey 2014-2018 poverty estimates to generate county-level estimates for 6 functional disabilities and any disability type. We used cluster-outlier spatial statistical methods to identify clustered counties. RESULTS: Among 3,142 counties, median estimated prevalence was 29.5% for any disability and differed by type: hearing (8.0%), vision (4.9%), cognition (11.5%), mobility (14.9%), self-care (3.7%), and independent living (7.2%). The spatial autocorrelation statistic, Moran's I, was 0.70 for any disability and 0.60 or greater for all 6 types of disability, indicating that disabilities were highly clustered at the county level. We observed similar spatial cluster patterns in all disability types except hearing disability. CONCLUSION: The results suggest substantial differences in disability prevalence across US counties. These data, heretofore unavailable from a health survey, may help with planning programs at the county level to improve the quality of life for people with disabilities.

Association Between Self-Reported Disability and Lifetime History of Traumatic Brain Injury With Loss of Consciousness Among Veterans and Nonveterans in North Carolina.

BACKGROUND: Compared with civilians, service members and veterans who have a history of traumatic brain injury (TBI) are more likely to experience poorer physical and mental health. To investigate this further, this article examines the association between self-reported history of TBI with loss of consciousness and living with 1 or more current disabilities (ie, serious difficulty with hearing, vision, cognition, or mobility; any difficulty with self-care or independent living) for both veterans and nonveterans. METHODS: A cross-sectional study using data from the North Carolina Behavioral Risk Factor Surveillance System for 4733 veterans and nonveterans aged 18 years and older. RESULTS: Approximately 34.7% of veterans residing in North Carolina reported having a lifetime history of TBI compared with 23.6% of nonveterans. Veterans reporting a lifetime history of TBI had a 1.4 times greater risk of also reporting living with a current disability (adjusted prevalence ratio = 1.4; 95% confidence interval, 1.2-1.8) compared with nonveterans. The most common types of disabilities reported were mobility, cognitive, and hearing. CONCLUSIONS: Compared with nonveterans, veterans who reported a lifetime history of TBI had an increased risk of reporting a current disability. Future studies, such as longitudinal studies, may further explore this to inform the development of interventions.

Health Care Access and Use Among Adults With and Without Vision Impairment: Behavioral Risk Factor Surveillance System, 2018.

INTRODUCTION: Adults with vision impairment may have unique needs when accessing health care to maintain good health. Our study examined the relationship between vision status and access to and use of health care. METHODS: We analyzed data on adults aged 18 years or older who participated in the 2018 Behavioral Risk Factor Surveillance System. Vision impairment was identified by a yes response to the question "Are you blind or do you have serious difficulty seeing, even when wearing glasses?" Survey questions assessed health care access over the past year (having health insurance coverage, a usual health care provider, or unmet health care needs because of cost) and use of health care during that period (routine checkup and dental visit). We estimated age-adjusted prevalence of our outcomes of interest and used bivariate analyses to compare estimates of the outcomes by vision impairment status. RESULTS: The prevalence of self-reported vision impairment was 5.3%. Compared with adults without impaired vision, adults with vision impairment had a lower prevalence of having health insurance coverage (80.6% vs 87.6%), a usual health care provider (71.9% vs 75.7%), or a dental visit in the past year (52.9% vs 67.2%) and a higher prevalence of having an unmet health care need in the past year because of cost (29.2% vs 12.6%). CONCLUSION: Adults with vision impairment reported lower access to and use of health care than those without. Further research can better identify and understand barriers to care to improve access to and use of health care among this population.

Prevalence of Arthritis and Arthritis-Attributable Activity Limitation - United States, 2016-2018.

Arthritis has been the most frequently reported main cause of disability among U.S. adults for >15 years (1), was responsible for >$300 billion in arthritis-attributable direct and indirect annual costs in the U.S. during 2013 (2), is linked to disproportionately high levels of anxiety and depression (3), and is projected to increase 49% in prevalence from 2010-2012 to 2040 (4). To update national prevalence estimates for arthritis and arthritis-attributable activity limitation (AAAL) among U.S. adults, CDC analyzed combined National Health Interview Survey (NHIS) data from 2016-2018. An estimated 58.5 million adults aged ≥18 years (23.7%) reported arthritis; 25.7 million (10.4% overall; 43.9% among those with arthritis) reported AAAL. Prevalence of both arthritis and AAAL was highest among adults with physical limitations, few economic opportunities, and poor overall health. Arthritis was reported by more than one half of respondents aged ≥65 years (50.4%), adults who were unable to work or disabled* (52.3%), or adults with fair/poor self-rated health (51.2%), joint symptoms in the past 30 days (52.2%), activities of daily living (ADL)† disability (54.8%), or instrumental activities of daily living (IADL)§ disability (55.9%). More widespread dissemination of existing, evidence-based, community-delivered interventions, along with clinical coordination and attention to social determinants of health (e.g., improved social, economic, and mental health opportunities), can help reduce widespread arthritis prevalence and its adverse effects.

Racial and Ethnic Disparities in the Prevalence of Stress and Worry, Mental Health Conditions, and Increased Substance Use Among Adults During the COVID-19 Pandemic - United States, April and May 2020.

In 2019, approximately 51 million U.S. adults aged ≥18 years reported any mental illness,* and 7.7% reported a past-year substance use disorder† (1). Although reported prevalence estimates of certain mental disorders, substance use, or substance use disorders are not generally higher among racial and ethnic minority groups, persons in these groups are often less likely to receive treatment services (1). Persistent systemic social inequities and discrimination related to living conditions and work environments, which contribute to disparities in underlying medical conditions, can further compound health problems faced by members of racial and ethnic minority groups during the coronavirus disease 2019 (COVID-19) pandemic and worsen stress and associated mental health concerns (2,3). In April and May 2020, opt-in Internet panel surveys of English-speaking U.S. adults aged ≥18 years were conducted to assess the prevalence of self-reported mental health conditions and initiation of or increases in substance use to cope with stress, psychosocial stressors, and social determinants of health. Combined prevalence estimates of current depression, initiating or increasing substance use, and suicidal thoughts/ideation were 28.6%, 18.2%, and 8.4%, respectively. Hispanic/Latino (Hispanic) adults reported a higher prevalence of psychosocial stress related to not having enough food or stable housing than did adults in other racial and ethnic groups. These estimates highlight the importance of population-level and tailored interventions for mental health promotion and mental illness prevention, substance use prevention, screening and treatment services, and increased provision of resources to address social determinants of health. How Right Now (Qué Hacer Ahora) is an evidence-based and culturally appropriate communications campaign designed to promote and strengthen the emotional well-being and resiliency of populations adversely affected by COVID-19-related stress, grief, and loss (4).

Outcomes Among Patients Referred to Outpatient Rehabilitation Clinics After COVID-19 diagnosis - United States, January 2020-March 2021.

As of June 30, 2021, 33.5 million persons in the United States had received a diagnosis of COVID-19 (1). Although most patients infected with SARS-CoV-2, the virus that causes COVID-19, recover within a few weeks, some experience post-COVID-19 conditions. These range from new or returning to ongoing health problems that can continue beyond 4 weeks. Persons who were asymptomatic at the time of infection can also experience post-COVID-19 conditions. Data on post-COVID-19 conditions are emerging and information on rehabilitation needs among persons recovering from COVID-19 is limited. Using data acquired during January 2020-March 2021 from Select Medical* outpatient rehabilitation clinics, CDC compared patient-reported measures of health, physical endurance, and health care use between patients who had recovered from COVID-19 (post-COVID-19 patients) and patients needing rehabilitation because of a current or previous diagnosis of a neoplasm (cancer) who had not experienced COVID-19 (control patients). All patients had been referred to outpatient rehabilitation. Compared with control patients, post-COVID-19 patients had higher age- and sex-adjusted odds of reporting worse physical health (adjusted odds ratio [aOR] = 1.8), pain (aOR = 2.3), and difficulty with physical activities (aOR = 1.6). Post-COVID-19 patients also had worse physical endurance, measured by the 6-minute walk test† (6MWT) (p<0.001) compared with control patients. Among patients referred to outpatient rehabilitation, those recovering from COVID-19 had poorer physical health and functional status than those who had cancer, or were recovering from cancer but not COVID-19. Patients recovering from COVID-19 might need additional clinical support, including tailored physical and mental health rehabilitation services.

Frequent Mental Distress Among Adults, by Disability Status, Disability Type, and Selected Characteristics - United States, 2018.

Frequent mental distress, defined as 14 or more self-reported mentally unhealthy days in the past 30 days,* is associated with adverse health behaviors, increased use of health services, mental disorders (e.g., diagnosis of major depressive disorder), chronic diseases, and functional limitations (1). Adults with disabilities more often report depression and anxiety (2), reduced health care access (3), and health-related risk behaviors (4) than do adults without disabilities. CDC analyzed 2018 Behavioral Risk Factor Surveillance System (BRFSS) data to compare the prevalence of frequent mental distress among adults with disabilities with that among adults without disabilities and to identify factors associated with mental distress among those with disabilities. Nationwide, an estimated 17.4 million adults with disabilities reported frequent mental distress; the prevalence of reported mental distress among those with disabilities (32.9%) was 4.6 times that of those without disabilities (7.2%). Among adults with disabilities, those with both cognitive and mobility disabilities most frequently reported mental distress (55.6%). Adults with disabilities who reported adverse health-related characteristics (e.g., cigarette smoking, physical inactivity, insufficient sleep, obesity, or depressive disorders) or an unmet health care need because of cost also reported experiencing more mental distress than did those with disabilities who did not have these characteristics. Adults living below the federal poverty level reported mental distress 70% more often than did adults in higher income households. Among states, age-adjusted prevalence of mental distress among adults with disabilities ranged from 25.2% (Alaska) to 42.9% (New Hampshire). Understanding the prevalence of mental distress among adults with disabilities could help health care providers, public health professionals, and policy makers target interventions and inform programs and policies to ensure receipt of mental health screening, care, and support services to reduce mental distress among adults with disabilities.

Screening for Alcohol Use and Brief Counseling of Adults - 13 States and the District of Columbia, 2017.

Binge drinking* is a leading preventable public health problem. From 2006 to 2010, binge drinking contributed to approximately 49,000 annual deaths resulting from acute conditions (e.g., injuries and violence) (1). Binge drinking also increases the risk for adverse health conditions, including some chronic diseases (e.g., breast cancer) and fetal alcohol spectrum disorders (2). In 2004, 2013, and again in 2018, for all U.S. adults aged ≥18 years in primary care, the U.S. Preventive Services Task Force (USPSTF) recommended alcohol screening and brief intervention (alcohol SBI) or counseling for persons whose screening indicated drinking in excess of recommended limits or in ways that increase risk for poor health outcomes (3-5). However, previous CDC surveillance data indicate that patients report rarely talking to their provider about alcohol use,† and alcohol SBI is traditionally delivered through conversation. CDC recently analyzed 2017 data from the Behavioral Risk Factor Surveillance System (BRFSS) survey's five-question module, which asked adults in 13 states§ and the District of Columbia (DC) about the delivery of alcohol SBI during their most recent checkup in the past 2 years. Overall, 81.4% of adults (age-standardized estimate) reported being asked about alcohol use by a health professional in person or on a form during a checkup in the past 2 years, but only 37.8% reported being asked a question about binge-level alcohol consumption, which is included on USPSTF recommended instruments (3). Among module respondents who were asked about alcohol use at a checkup in the past 2 years and reported current binge drinking (past 30 days) at time of survey, only 41.7% were advised about the harms of drinking too much at a checkup in the past 2 years, and only 20.1% were advised to reduce or quit drinking at a checkup in the past 2 years. These findings suggest that missed opportunities remain for health care providers to intervene with patients who report binge drinking. Working to implement alcohol SBI at a systems level, including the provision of the new Healthcare Effectiveness Data Information Set (HEDIS) measure, Unhealthy Alcohol Use Screening and Follow-Up, can improve alcohol SBI's use and benefit in primary care.

Prevalence of Disabilities and Health Care Access by Disability Status and Type Among Adults - United States, 2016.

Persons with disabilities face greater barriers to health care than do those without disabilities (1). To identify characteristics of noninstitutionalized adults with six specific disability types (hearing, vision, cognition, mobility, self-care, and independent living),* and to assess disability-specific disparities in health care access, CDC analyzed 2016 Behavioral Risk Factor Surveillance System (BRFSS) data. The prevalences of disability overall and by disability type, and access to health care by disability type, were estimated. Analyses were stratified by three age groups: 18-44 years (young adults), 45-64 years (middle-aged adults), and ≥65 years (older adults). Among young adults, cognitive disability (10.6%) was the most prevalent type. Mobility disability was most prevalent among middle-aged (18.1%) and older adults (26.9%). Generally, disability prevalences were higher among women, American Indians/Alaska Natives (AI/AN), adults with income below the federal poverty level (FPL), and persons in the South U.S. Census region. Disability-specific disparities in health care access were prevalent, particularly among young and middle-aged adults. These data might inform public health programs of the sociodemographic characteristics and disparities in health care access associated with age and specific disability types and guide efforts to improve access to care for persons with disabilities.

Self-Perceived Poor/Fair Health, Frequent Mental Distress, and Health Insurance Status Among Working-Aged US Adults.

We examined associations of health insurance status with self-perceived poor/fair health and frequent mental distress (FMD) among working-aged US adults from 42 states and the District of Columbia using data from the 2014 Behavioral Risk Factor Surveillance System. After multiple-variable adjustment, compared with adequately insured adults, underinsured and never insured adults were 39% and 59% more likely to report poor/fair health, respectively, and 38% more likely to report FMD. Compared with working-aged adults with employer-based insurance, adults with Medicaid/Medicare or other public insurance coverage were 28% and 13% more likely to report poor/fair health, respectively, and 15% more likely to report FMD. Increasing insurance coverage and reducing cost barriers to care may improve general and mental health.

Linking Data From Health Surveys and Electronic Health Records: A Demonstration Project in Two Chicago Health Center Clinics.

INTRODUCTION: Monitoring and understanding population health requires conducting health-related surveys and surveillance. The objective of our study was to assess whether data from self-administered surveys could be collected electronically from patients in urban, primary-care, safety-net clinics and subsequently linked and compared with the same patients' electronic health records (EHRs). METHODS: Data from self-administered surveys were collected electronically from a convenience sample of 527 patients at 2 Chicago health centers from September through November, 2014. Survey data were linked to EHRs. RESULTS: A total of 251 (47.6%) patients who completed the survey consented to having their responses linked to their EHRs. Consenting participants were older, more likely to report fair or poor health, and took longer to complete the survey than those who did not consent. For 8 of 18 categorical variables, overall percentage of agreement between survey data and EHR data exceeded 80% (sex, race/ethnicity, pneumococcal vaccination, self-reported body mass index [BMI], diabetes, high blood pressure, medication for high blood pressure, and hyperlipidemia), and of these, the level of agreement was good or excellent (κ ≥0.64) except for pneumococcal vaccination (κ = 0.40) and hyperlipidemia (κ = 0.47). Of 7 continuous variables, agreement was substantial for age and weight (concordance coefficients ≥0.95); however, with the exception of calculated survey BMI and EHR-BMI (concordance coefficient = 0.88), all other continuous variables had poor agreement. CONCLUSIONS: Self-administered and web-based surveys can be completed in urban, primary-care, safety-net clinics and linked to EHRs. Linking survey and EHR data can enhance public health surveillance by validating self-reported data, completing gaps in patient data, and extending sample sizes obtained through current methods. This approach will require promoting and sustaining patient involvement.

Screening for Excessive Alcohol Use and Brief Counseling of Adults - 17 States and the District of Columbia, 2014.

Excessive and/or risky alcohol use* resulted in $249 billion in economic costs in 2010 (1) and >88,000 deaths in the United States every year from 2006 to 2010 (2). It is associated with birth defects and disabilities (e.g., fetal alcohol spectrum disorders [FASDs]), increases in chronic diseases (e.g., heart disease and breast cancer), and injuries and violence (e.g., motor vehicle crashes, suicide, and homicide).† Since 2004, the U.S. Preventive Services Task Force (USPSTF) has recommended alcohol misuse screening and brief counseling (also known as alcohol screening and brief intervention or ASBI) for adults aged ≥18 years (3).§ Among adults, ASBI reduces episodes of binge-level consumption, reduces weekly alcohol consumption, and increases compliance with recommended drinking limits in those who have an intervention in comparison to those who do not (3). A recent study suggested that health care providers rarely talk with patients about alcohol use (4). To estimate the prevalence of U.S. adults who reported receiving elements of ASBI, CDC analyzed 2014 Behavioral Risk Factor Surveillance System (BRFSS) data from 17 states¶ and the District of Columbia (DC). Weighted crude and age-standardized overall and state-level prevalence estimates were calculated by selected drinking patterns and demographic characteristics. Overall, 77.7% of adults (age-standardized estimate) reported being asked about alcohol use by a health professional in person or on a form during a checkup, but only 32.9% reported being asked about binge-level alcohol consumption (3). Among binge drinkers, only 37.2% reported being asked about alcohol use and advised about the harms of drinking too much, and only 18.1% reported being asked about alcohol use and advised to reduce or quit drinking. Widespread implementation of ASBI and other evidence-based interventions could help reduce excessive alcohol use in adults and related harms.

Daily Sugar-Sweetened Beverage Consumption, by Disability Status, Among Adults in 23 States and the District of Columbia.

INTRODUCTION: Information on dietary intake, including sugar-sweetened beverages (SSBs), for adults with disabilities is limited. Such information can inform interventions to prevent chronic disease and promote health among adults with disabilities. The objective of this study was to describe the associations between SSB consumption and disability among adults. METHODS: We examined data on adults aged 18 years or older in 23 states and the District of Columbia who participated in the 2013 Behavioral Risk Factor Surveillance System (n = 150,760). Participants who reported a limitation in any activity caused by physical, mental, or emotional problems or who reported use of special equipment were considered to have a disability (n = 41,199). Participants were classified as daily SSB consumers (≥1 time/d) and non-daily SSB consumers (<1 time/d). Multivariable logistic regression was used to examine associations between daily SSB intake and disability after controlling for sociodemographic characteristics. An interaction effect between disability and obesity status was tested to consider obesity status as a potential effect modifier. RESULTS: The prevalence of drinking SSBs at least once daily was significantly higher among adults with disabilities (30.3%) than among adults without disabilities (28.6%) (P = .01). After controlling for sociodemographic characteristics, among nonobese adults, the odds of daily SSB intake were significantly higher among adults with disabilities than among adults without disabilities (adjusted odds ratio = 1.27, P < .001). Among obese adults, daily SSB intake was not associated with disability status (adjusted odds ratio = 0.97; P = .58). CONCLUSION: Our findings highlight the need for increased awareness of SSB consumption among adults with disabilities.

Comparison of 2 Disability Measures, Behavioral Risk Factor Surveillance System, 2013.

INTRODUCTION: Beginning in 2013, in addition to the 2-item disability question set asked since 2001, Behavioral Risk Factor Surveillance System (BRFSS) began using 5 of the 6 items from the US Department of Health and Human Services-recommended disability question set. We assess and compare disability prevalence using the 2-question and 5-question sets and describe characteristics of respondents who identified as having a disability using each question set. METHODS: We used data from the 2013 BRFSS to estimate the prevalence of disability for each question set and the 5 specific types of disability. Among respondents identified by each disability question set, we calculated the prevalence of selected demographic characteristics, health conditions, health behaviors, and health status. RESULTS: With the 2-question set, 21.6% of adults had a disability and with the 5-question set, 22.7% of adults had disability. A total of 51.2% of adults who identified as having a disability with either the 2-question or 5-question set reported having disabilities with both sets. Adults with different disability types differed by demographic and health characteristics. CONCLUSION: The inclusion of the 5 new disability questions in BRFSS provides a level of detail that can help develop targeted interventions and programs and can guide the adaptation of existing health promotion programs to be more inclusive of adults who experience specific types of disabilities.

Lack of Health Insurance Among Adults Aged 18 to 64 Years: Findings From the 2013 Behavioral Risk Factor Surveillance System.

INTRODUCTION: The objective of this study was to estimate the prevalence of lack of health insurance among adults aged 18 to 64 years for each state and the United States and to describe populations without insurance. METHODS: We used 2013 Behavioral Risk Factor Surveillance System data to categorize states into 3 groups on the basis of the prevalence of lack of health insurance in each state compared with the national average (21.5%; 95% confidence interval, 21.1%-21.8%): high-insured states (states with an estimated prevalence of lack of health insurance below the national average), average-insured states (states with an estimated prevalence of lack of health insurance equivalent to the national average), and low-insured states (states with an estimated prevalence of lack of health insurance higher than the national average). We used bivariate analyses to compare the sociodemographic characteristics of these 3 groups after age adjustment to the 2000 US standard population. We examined the distribution of Medicaid expansion among the 3 groups. RESULTS: Compared with the national age-adjusted prevalence of lack of health insurance, 24 states had lower rates of uninsured residents, 12 states had equivalent rates of uninsured, and 15 states had higher rates of uninsured. Compared with adults in the high-insured and average-insured state groups, adults in the low-insured state group were more likely to be non-Hispanic black or Hispanic, to have less than a high school education, to be previously married (divorced, widowed, or separated), and to have an annual household income at or below $35,000. Seventy-one percent of high-insured states were expanding Medicaid eligibility compared with 67% of average-insured states and 40% of low-insured states. CONCLUSION: Large variations exist among states in the estimated prevalence of health insurance. Many uninsured Americans reside in states that have opted out of Medicaid expansion.

A new source of data for public health surveillance: Facebook likes.

BACKGROUND: Investigation into personal health has become focused on conditions at an increasingly local level, while response rates have declined and complicated the process of collecting data at an individual level. Simultaneously, social media data have exploded in availability and have been shown to correlate with the prevalence of certain health conditions. OBJECTIVE: Facebook likes may be a source of digital data that can complement traditional public health surveillance systems and provide data at a local level. We explored the use of Facebook likes as potential predictors of health outcomes and their behavioral determinants. METHODS: We performed principal components and regression analyses to examine the predictive qualities of Facebook likes with regard to mortality, diseases, and lifestyle behaviors in 214 counties across the United States and 61 of 67 counties in Florida. These results were compared with those obtainable from a demographic model. Health data were obtained from both the 2010 and 2011 Behavioral Risk Factor Surveillance System (BRFSS) and mortality data were obtained from the National Vital Statistics System. RESULTS: Facebook likes added significant value in predicting most examined health outcomes and behaviors even when controlling for age, race, and socioeconomic status, with model fit improvements (adjusted R(2)) of an average of 58% across models for 13 different health-related metrics over basic sociodemographic models. Small area data were not available in sufficient abundance to test the accuracy of the model in estimating health conditions in less populated markets, but initial analysis using data from Florida showed a strong model fit for obesity data (adjusted R(2)=.77). CONCLUSIONS: Facebook likes provide estimates for examined health outcomes and health behaviors that are comparable to those obtained from the BRFSS. Online sources may provide more reliable, timely, and cost-effective county-level data than that obtainable from traditional public health surveillance systems as well as serve as an adjunct to those systems.

Effects of Massachusetts health reform on the use of clinical preventive services.

BACKGROUND: Expansion of health insurance coverage, and hence clinical preventive services (CPS), provides an opportunity for improvements in the health of adults. The degree to which expansion of health insurance coverage affects the use of CPS is unknown. OBJECTIVE: To assess whether Massachusetts health reform was associated with changes in healthcare access and use of CPS. DESIGN: We used a difference-in-differences framework to examine change in healthcare access and use of CPS among working-aged adults pre-reform (2002-2005) and post-reform (2007-2010) in Massachusetts compared with change in other New England states (ONES). SETTING: Population-based, cross-sectional Behavioral Risk Factor Surveillance System surveys. PARTICIPANTS: A total of 208,831 survey participants aged 18 to 64 years. INTERVENTION: Massachusetts health reform enacted in 2006. MEASUREMENTS: Four healthcare access measures outcomes and five CPS. KEY RESULTS: The proportions of adults who had health insurance coverage, a healthcare provider, no cost barrier to healthcare, an annual routine checkup, and a colorectal cancer screening increased significantly more in Massachusetts than those in the ONES. In Massachusetts, the prevalence of cervical cancer screening in pre-reform and post-reform periods was about the same; however, the ONES had a decrease of -1.6 percentage points (95 % confidence interval [CI] -2.5, -0.7; p <0.001). As a result, the prevalence of cervical cancer screening in Massachusetts was increased relative to the ONES (1.7, 95 % CI 0.2, 3.2; p = 0.02). Cholesterol screening, influenza immunization, and breast cancer screening did not improve more in Massachusetts than in the ONES. LIMITATIONS: Data are self-reported. CONCLUSIONS: Health reform may increase healthcare access and improve use of CPS. However, the effects of health reform on CPS use may vary by type of service and by state.

Leisure-time aerobic physical activity, muscle-strengthening activity and mortality risks among US adults: the NHANES linked mortality study.

BACKGROUND: Regular physical activity elicits multiple health benefits in the prevention and management of chronic diseases. We examined the mortality risks associated with levels of leisure-time aerobic physical activity and muscle-strengthening activity based on the 2008 Physical Activity Guidelines for Americans among US adults. METHODS: We analysed data from the 1999 to 2004 National Health and Nutrition Examination Survey with linked mortality data obtained through 2006. Cox proportional HRs with 95% CIs were estimated to assess risks for all-causes and cardiovascular disease (CVD) mortality associated with aerobic physical activity and muscle-strengthening activity. RESULTS: Of 10 535 participants, 665 died (233 deaths from CVD) during an average of 4.8-year follow-up. Compared with participants who were physically inactive, the adjusted HR for all-cause mortality was 0.64 (95% CI 0.52 to 0.79) among those who were physically active (engaging in ≥150 min/week of the equivalent moderate-intensity physical activity) and 0.72 (95% CI 0.54 to 0.97) among those who were insufficiently active (engaging in >0 to <150 min/week of the equivalent moderate-intensity physical activity). The adjusted HR for CVD mortality was 0.57 (95% CI 0.34 to 0.97) among participants who were insufficiently active and 0.69 (95% CI 0.43 to 1.12) among those who were physically active. Among adults who were insufficiently active, the adjusted HR for all-cause mortality was 44% lower by engaging in muscle-strengthening activity ≥2 times/week. CONCLUSIONS: Engaging in aerobic physical activity ranging from insufficient activity to meeting the 2008 Guidelines reduces the risk of premature mortality among US adults. Engaging in muscle-strengthening activity ≥2 times/week may provide additional benefits among insufficiently active adults.

Sociodemographic and health-related risk factors associated with tooth loss among adults in Rhode Island.

INTRODUCTION: Oral health is an integral component of overall health and well-being. Very little Rhode Island state-level information exists on the determinants of tooth loss. The objective of this study was to systematically identify sociodemographic characteristics, health behaviors, health conditions and disabilities, and dental insurance coverage associated with tooth loss among noninstitutionalized adults in Rhode Island. METHODS: We analyzed Rhode Island's 2008 and 2010 Behavioral Risk Factor Surveillance System survey data in 2011. The survey had 4 response categories for tooth loss: none, 1 to 5, 6 or more but not all, and all. We used multinomial logistic regression models to assess the relationship between 4 risk factor domains and tooth loss. RESULTS: An estimated 57.6% of Rhode Island adults had all their teeth, 28.9% had 1 to 5 missing teeth, 8.9% had 6 to 31 missing teeth, and 4.6% were edentulous. Respondents who had low income, low education, unhealthy behaviors (ie, were former or current smokers and did not engage in physical activity), chronic conditions (ie, diabetes and obesity) or disabilities, and no dental insurance coverage were more likely to have fewer teeth compared with their referent groups. However, the association of these variables with tooth loss was not uniform by age group. CONCLUSION: Adults who report risky health behaviors or impaired health may be considered target subpopulations for prevention of tooth loss and promotion of good oral health.

A comparison of prevalence estimates for selected health indicators and chronic diseases or conditions from the Behavioral Risk Factor Surveillance System, the National Health Interview Survey, and the National Health and Nutrition Examination Survey, 2007-2008.

OBJECTIVE: To compare the prevalence estimates of selected health indicators and chronic diseases or conditions among three national health surveys in the United States. METHODS: Data from adults aged 18 years or older who participated in the Behavioral Risk Factor Surveillance System (BRFSS) in 2007 and 2008 (n=807,524), the National Health Interview Survey (NHIS) in 2007 and 2008 (n=44,262), and the National Health and Nutrition Examination Survey (NHANES) during 2007 and 2008 (n=5871) were analyzed. RESULTS: The prevalence estimates of current smoking, obesity, hypertension, and no health insurance were similar across the three surveys, with absolute differences ranging from 0.7% to 3.9% (relative differences: 2.3% to 20.2%). The prevalence estimate of poor or fair health from BRFSS was similar to that from NHANES, but higher than that from NHIS. The prevalence estimates of diabetes, coronary heart disease, and stroke were similar across the three surveys, with absolute differences ranging from 0.0% to 0.8% (relative differences: 0.2% to 17.1%). CONCLUSION: While the BRFSS continues to provide invaluable health information at state and local level, it is reassuring to observe consistency in the prevalence estimates of key health indicators of similar caliber between BRFSS and other national surveys.