Temporal Trends in Hepatitis C-Related Hospitalizations, United States, 2000-2019.

BACKGROUND: Hospitalization burden related to hepatitis C virus (HCV) infection is substantial. We sought to describe temporal trends in hospitalization rates before and after release of direct-acting antiviral (DAA) agents. METHODS: We analyzed 2000-2019 data from adults aged ≥18 years in the National Inpatient Sample. Hospitalizations were HCV-related if (1) hepatitis C was the primary diagnosis, or (2) hepatitis C was any secondary diagnosis with a liver-related primary diagnosis. We analyzed characteristics of HCV-related hospitalizations nationally and examined trends in age-adjusted hospitalization rates. RESULTS: During 2000-2019, there were an estimated 1 286 397 HCV-related hospitalizations in the United States. The annual age-adjusted hospitalization rate was lowest in 2019 (18.7/100 000 population) and highest in 2012 (29.6/100 000 population). Most hospitalizations occurred among persons aged 45-64 years (71.8%), males (67.1%), White non-Hispanic persons (60.5%), and Medicaid/Medicare recipients (64.0%). The national age-adjusted hospitalization rate increased during 2000-2003 (annual percentage change [APC], 9.4%; P < .001) and 2003-2013 (APC, 1.8%; P < .001) before decreasing during 2013-2019 (APC, -7.6%; P < .001). Comparing 2000 to 2019, the largest increases in hospitalization rates occurred among persons aged 55-64 years (132.9%), Medicaid recipients (41.6%), and Black non-Hispanic persons (22.3%). CONCLUSIONS: Although multiple factors likely contributed, overall HCV-related hospitalization rates declined steadily after 2013, coinciding with the release of DAAs. However, the declines were not observed equally among age, race/ethnicity, or insurance categories. Expanded access to DAA treatment is needed, particularly among Medicaid and Medicare recipients, to reduce disparities and morbidity and eliminate hepatitis C as a public health threat.

Vaccination barriers and opportunities at syringe services programs in the United States, June-August 2021-A cross-sectional survey.

BACKGROUND: Syringe services programs (SSPs) are an important venue for reaching people who inject drugs (PWID) to offer preventive services; however, not all SSPs offer vaccinations. We aimed to describe barriers and opportunities for SSPs to offer vaccinations. METHODS: During June-August 2021, we conducted a descriptive, cross-sectional survey of SSP providers in the United States. SSPs were recruited from national listservs using purposive sampling to ensure geographic diversity. The survey included questions about SSP characteristics, client demographics, existing vaccination resources, resource needs, and staff perspectives on client vaccination barriers. Statistical comparisons were made using Pearson's chi-square test. RESULTS: In total, 105 SSPs from 34 states responded to the survey; 46 SSPs (43.8%) offered on-site vaccinations. SSPs without on-site vaccinations were more likely operated by community-based organizations (81.4% vs 30.4%, p < 0.001) in urban areas (71.4% vs 40.0%, p = 0.002) than SSPs offering on-site vaccinations. The most common staffing need was for personnel licensed to administer vaccines (74/98, 75.5%). Over half of SSPs reported vaccine supply, administration supplies, storage equipment, and systems to follow-up clients for multidose series as important resource needs. The most common resource need was for reminder/recall systems for vaccines with multidose series (75/92, 81.5%). Vaccine safety concerns (92/95, 96.8%) and competing priorities (92/96, 95.8%) were the most common staff-reported client barriers to vaccinations. CONCLUSIONS: Addressing missed opportunities for offering vaccinations to PWID who use SSPs will require increased numbers of on-site personnel licensed to administer vaccines and additional training, vaccination supplies, and storage and handling equipment.

Incidence of Malignancies Among Patients With Chronic Hepatitis B in US Health Care Organizations, 2006-2018.

Hepatitis B virus (HBV) infection causes hepatocellular carcinoma but its association with other cancers is not well established. We compared age-adjusted incidence of primary cancers among 5773 HBV-infected persons with US cancer registries during 2006-2018. Compared with the US population, substantially higher incidence among HBV-infected persons was observed for hepatocellular carcinoma (standardized rate ratio [SRR], 30.79), gastric (SRR, 7.95), neuroendocrine (SRR, 5.88), cholangiocarcinoma (SRR, 4.62), and ovarian (SRR, 3.72) cancers, and non-Hodgkin lymphoma (SRR, 2.52). Clinicians should be aware of a heightened potential for certain nonhepatic malignancies among hepatitis B patients, as earlier diagnosis favors improved survival.

Psychosocial Obstacles to Hepatitis C Treatment Initiation Among Patients in Care: A Hitch in the Cascade of Cure.

There are limited data examining the relationship between psychosocial factors and receipt of direct-acting antiviral (DAA) treatment among patients with hepatitis C in large health care organizations in the United States. We therefore sought to determine whether such factors were associated with DAA initiation. We analyzed data from an extensive psychological, behavioral, and social survey (that incorporated several health-related quality of life assessments) coupled with clinical data from electronic health records of patients with hepatitis C enrolled at four health care organizations during 2017-2018. Of 2,681 patients invited, 1,051 (39.2%) responded to the survey; of 894 respondents eligible for analysis, 690 (77.2%) initiated DAAs. Mean follow-up among respondents was 9.2 years. Compared with DAA recipients, nonrecipients had significantly poorer standardized scores for depression, anxiety, and life-related stressors as well as poorer scores related to physical and mental function. Lower odds of DAA initiation in multivariable analysis (adjusted by age, race, sex, study site, payment provider, cirrhosis status, comorbidity status, and duration of follow-up) included Black race (adjusted odds ratio [aOR], 0.59 vs. White race), perceived difficulty getting medical care in the preceding year (aOR, 0.48 vs. no difficulty), recent injection drug use (aOR, 0.11 vs. none), alcohol use disorder (aOR, 0.58 vs. no alcohol use disorder), severe depression (aOR, 0.42 vs. no depression), recent homelessness (aOR, 0.36 vs. no homelessness), and recent incarceration (aOR, 0.34 vs. no incarceration). Conclusion: In addition to racial differences, compared with respondents who initiated DAAs, those who did not were more likely to have several psychological, behavioral, and social impairments. Psychosocial barriers to DAA initiation among patients in care should also be addressed to reduce hepatitis C-related morbidity and mortality.

The Persistence of Underreporting of Hepatitis C as an Underlying or Contributing Cause of Death, 2011-2017.

Using electronic health records, we found that hepatitis C virus (HCV) reporting on death certificates of 2901 HCV-infected decedents from 4 US healthcare organizations during 2011-2017 was documented in only 50% of decedents with hepatocellular carcinoma and less than half with decompensated cirrhosis. National figures likely underestimate the US HCV mortality burden.

Hepatitis C virus infection and polysubstance use among young adult people who inject drugs in a rural county of New Mexico.

AIMS: We assessed prevalence and correlates for hepatitis C virus (HCV) infection in young adult people who inject drugs (PWID) in rural New Mexico, where opioid use has been historically problematic. METHODS: Participants were 18-29 years old with self-reported injection drug use in the past 90 days. We conducted testing for HCV antibodies (anti-HCV) and HCV ribonucleic acid (RNA) and assessed sociodemographic and risk exposures. We provided counseling and referrals to prevention services and drug treatment. We estimated prevalence ratios (PR) to assess bivariate associations with HCV infection; and adjusted PRs using modified Poisson regression methods. RESULTS: Among 256 participants tested for anti-HCV, 156 (60.9 %) had been exposed (anti-HCV positive), and of 230 tested for both anti-HCV and HCV RNA, 103 (44.8 %) had current infection (RNA-positive). The majority (87.6 %) of participants were Hispanic. Almost all (96.1 %) had ever injected heroin; 52.4 % and 52.0 % had ever injected methamphetamine or cocaine, respectively. Polysubstance injecting (heroin and any other drug) was associated with significantly higher prevalence of HCV infection (76.0 %) compared to injecting only heroin (24.0 %) (PR: 3.17 (95 % CI:1.93, 5.23)). Years of injecting, history of non-fatal opioid-involved overdose, polysubstance injecting, and stable housing were independently associated with HCV infection. CONCLUSIONS: HCV is highly prevalent among young adult PWID in rural NM. The high reported prevalence of polysubstance injecting and its association with HCV infection should be considered in prevention planning.

Association of Self-Reported Abscess With High-Risk Injection-Related Behaviors Among Young Persons Who Inject Drugs.

Abscess is a common source of morbidity for people who inject drugs. We used data from the Study to Assess Hepatitis C Risk to measure prevalence of abscess and identify factors associated with the history of abscess. Of 541 participants, 388 (72%) were male and 149 (28%) were female. Almost half (n = 258, 48%) reported ever having an abscess. Persons who inject drugs with an abscess history were significantly more likely to have more injection partners (p = .01), inject heroin daily (p < .05), and share cookers (p = .001) and less likely to report using new syringes with each injection (p = .02). Most reported self-treating their last abscess and increasing drug use when having an abscess. High-risk injection-related activity was associated not only with infections such as HIV and hepatitis C virus but also with abscess. Nurses should screen patients presenting with abscess for high-risk practices and provide prevention education.

Mortality Among Patients With Chronic Hepatitis B Infection: The Chronic Hepatitis Cohort Study (CHeCS).

BACKGROUND: According to death certificates, approximately 1800 persons die from hepatitis B annually in the United States; however, this figure may underestimate true mortality from chronic hepatitis B (CHB). METHODS: We analyzed data from CHB patients seen in the Chronic Hepatitis Cohort Study (CHeCS) between 1 January 2006 and 31 December 2013. We compared overall and cause-specific death rates and mean ages at death between CHeCS CHB decedents and U.S. decedents from the Multiple Cause of Death (MCOD) file. RESULTS: Of 4389 CHB patients followed for a mean of 5.38 years, 492 (11%) CHB patients died after a mean follow-up of 3.00 years. Compared to survivors, decedents were older, more likely to be White (40.6%), African-American (27.1%), or male (74.2%); and more likely to have had cirrhosis (59.8%), diabetes (27.2%), alcohol abuse (17.7%), hepatocellular carcinoma (17.5%), or a liver transplant (5.7%); whereas survivors were more likely to be Asian (48.8%; all P < .001). CHB patients died at an average age of 59.8 years-14 years younger than the general U.S. population-and at higher rates for all causes (relative risk [RR] = 1.85, 95% confidence interval [CI], 1.851-1.857) and liver-related causes (RR = 15.91, 95% CI, 15.81-16.01). Only 19% of CHB decedents and 40% of those dying of liver disease had hepatitis B reported on their death certificates. CONCLUSIONS: Compared to the general population, CHB patients die at younger ages and higher rates from all causes and liver-related causes. Death certificates underrepresent the true mortality from CHB.

Long-Term Liver Disease, Treatment, and Mortality Outcomes Among 17,000 Persons Diagnosed with Chronic Hepatitis C Virus Infection: Current Chronic Hepatitis Cohort Study Status and Review of Findings.

Chronic Hepatitis Cohort Study (CHeCS) publications using data from "real-world" patients with hepatitis C virus (HCV) have described demographic disparities in access to care; rates of advanced liver disease, morbidity, and mortality (2.5%-3.5% per year during 2006-10, although only 19% of all CHeCS decedents, and just 30% of those with deaths attributed to liver disease, had HCV listed on death certificate); substantial comorbidities, such as diabetes, advanced liver fibrosis (29% prevalence), renal disease, and depression, and partial reversal of all these with successful antiviral therapy; patient risk behaviors; and use of noninvasive markers to assess liver disease.

The Predictive Value of International Classification of Disease Codes for Chronic Hepatitis C Virus Infection Surveillance: The Utility and Limitations of Electronic Health Records.

Surveillance of chronic hepatitis C virus (HCV) cases faces limitations that result in delays and under-reporting. With increasing use of electronic health records (EHRs), the authors evaluated the predictive value of using International Classification of Diseases, Ninth Revision (ICD-9) codes to identify chronic HCV cases from EHR data. Longitudinal EHR data from 4 health care systems during 2006-2012 were evaluated. Using chart abstraction and review to confirm chronic HCV cases ("gold standard" definition), the authors calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 2 case definitions: (1) ≥2 ICD-9 codes separated by ≥6 months and (2) ≥1 positive HCV RNA (ribonucleic acid) test. Among 2,718,995 patients, 20,779 (0.8%) with ICD-9 codes indicating a likely diagnosis of chronic HCV infection were identified; 13,595 (65.4%) of these were randomly selected for review. Case definition 1 (≥2 ICD-9 codes separated by ≥6 months) had 70.3% sensitivity, 91.9% PPV, 99.9% specificity, and 99.9% NPV while case definition 2 (≥1 positive HCV RNA test) had 74.1% sensitivity, 97.4% PPV, 99.9% specificity, and 99.9% NPV. The predictive values of these alternate EHR-derived ICD-9 code-based case definitions suggest that these measures may be useful in capturing the burden of diagnosed chronic HCV infections. Their use can augment current chronic HCV case surveillance efforts; however, their accuracy may vary by length of observation and completeness of EHR data.

Comparison of ICD-9 Codes for Depression and Alcohol Misuse to Survey Instruments Suggests These Codes Should Be Used with Caution.

BACKGROUND: Research suggests depression and alcohol misuse are highly prevalent among chronic hepatitis C (CHC) patients, which is of clinical concern. AIMS: To compare ICD-9 codes for depression and alcohol misuse to validated survey instruments. METHODS: Among CHC patients, we assessed how well electronic ICD-9 codes for depression and alcohol misuse predicted these disorders using validated instruments. RESULTS: Of 4874 patients surveyed, 56% were male and 52% had a history of injection drug use. Based on the PHQ-8, the prevalence of depression was 30% compared to 14% based on ICD-9 codes within 12 months of survey, 37% from ICD-9 codes any time before or within 12 months after survey, and 48% from ICD-9 codes any time before or within 24 months after survey. ICD-9 codes predicting PHQ-8 depression had a sensitivity ranging from 59 to 88% and a specificity ranging from 33 to 65%. Based on the AUDIT-C, the prevalence of alcohol misuse was 21% compared to 3-23% using ICD-9 codes. The sensitivity of ICD-9 codes to predict AUDIT-C score ranged from 9 to 35% and specificity from 80 to 98%. Overall 39% of patients reported ever binge drinking, with a sensitivity of ICD-9 to predict binge drinking ranging from 7 to 33% and a specificity from 84 to 98%. More than half of patients had either an ICD-9 code for depression, a survey score indicating depression, or both (59%); more than one-third had the same patterns for alcohol misuse (36%). CONCLUSIONS: ICD-9 codes were limited in predicting current depression and alcohol misuse, suggesting that caution should be exercised when using ICD-9 codes to assess depression or alcohol misuse among CHC patients.

Assessing potential population impact of statin treatment for primary prevention of atherosclerotic cardiovascular diseases in the USA: population-based modelling study.

OBJECTIVE: New cholesterol treatment guidelines from American College of Cardiology/American Heart Association recommend statin treatment for more of US population to prevent atherosclerotic cardiovascular disease (ASCVD). It is important to assess how new guidelines may affect population-level health. This study assessed the impact of statin use for primary prevention of ASCVD under the new guidelines. METHODS: We used data from 2010 US Multiple Cause Mortality, Third National Health and Nutrition Examination Survey (NHANES III) Linked Mortality File (1988-2006, n=8941) and NHANES 2005-2010 (n=3178) participants 40-75 years of age for the present study. RESULTS: Among 33.0 million adults meeting new guidelines for primary prevention of ASCVD, 8.8 million were taking statins; 24.2 million, including 7.7 million with diabetes, are eligible for statin treatment. If all those with diabetes used a statin, 2514 (95% CI 592 to 4142) predicted ASCVD deaths would be prevented annually with 482 (0 to 2239) predicted annual additional cases of myopathy based on randomised clinical trials (RCTs), and 11 801 (9251 to 14 916) using population-based study. Among 16.5 million without diabetes, 5425 (1276 to 8935) ASCVD deaths would be prevented annually with 16 406 (4922 to 26 250) predicted annual additional cases of diabetes and between 1030 (0 to 4791) and 24 302 (19 363 to 30 292) additional cases of myopathy based on RCTs and population-based study. Assuming 80% eligible population take statins with 80% medication adherence, among those without diabetes, the corresponding numbers were 3472 (817 to 5718) deaths, 10 500 (3150 to 16 800) diabetes, 660 (0 to 3066) myopathy (RCTs), and 15 554 (12 392 to 19 387) myopathy (population-based). The estimated total annual cost of statins use ranged from US$1.65 to US$6.5 billion if 100% of eligible population take statins. CONCLUSIONS: This population-based modelling study focused on impact of statin use on ASCVD mortality. Under the new guidelines, if all those eligible for primary prevention of ASCVD take statins, up to 12.6% of annual ASCVD deaths might be prevented, though additional cases of diabetes and myopathy likely occur. DISCLAIMER: The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Trends in High Blood Pressure among United States Adolescents across Body Weight Category between 1988 and 2012.

OBJECTIVE: To examine trends in pre-high blood pressure (BP [HBP]) and HBP among US adolescents by body weight category during 1988-2012. STUDY DESIGN: We estimated pre-HBP and HBP prevalence among 14,844 participants aged 12-19 years using National Health and Nutrition Examination Surveys from 1988-1994, 1999-2002, 2003-2006, and 2007-2012. Pre-HBP and HBP were defined based on age-sex-height-specific BP percentiles. We examined the temporal trends in pre-HBP and HBP across category of body weight (normal weight vs overweight/obese), adjusted for potential explanatory factors, and estimated the number of adolescents with pre-HBP and HBP. RESULTS: Between 1988 and 2012, the prevalence of HBP decreased and pre-HBP did not change. Among normal weight adolescents, multivariable adjusted pre-HBP prevalence was 11.0% during 1988-2012, and 10.9% during 2007-2012 (P = .923 for trend); adjusted HBP prevalence increased from 1988-1994 (0.9%) to 1999-2002 (2.3%), then declined significantly to 1.4% during 2007-2012 (P = .049). Among overweight/obese adolescents, adjusted pre-HBP prevalence was 17.5% during 1988-2012, and 20.9% during 2007-2012 (P = .323); adjusted HBP prevalence declined significantly from 7.2% during 1988-1994 to 3.2% during 2007-2012 (P = .018). Because of population growth, estimated number of adolescents with pre-HBP or HBP increased, from 4.18 million during 1988-1994 to 5.59 million during 2007-2012. CONCLUSIONS: Between 1988 and 2012, pre-HBP prevalence was consistently higher among overweight/obese adolescent than those of normal weight, and the pattern remain unchanged. HBP prevalence declined significantly, especially among overweight/obese adolescent that are not completely explained by sociodemographic or lifestyle characteristics.

Vital Signs: Predicted Heart Age and Racial Disparities in Heart Age Among U.S. Adults at the State Level.

INTRODUCTION: Cardiovascular disease is a leading cause of morbidity and mortality in the United States. Heart age (the predicted age of a person's vascular system based on their cardiovascular risk factor profile) and its comparison with chronological age represent a new way to express risk for developing cardiovascular disease. This study estimates heart age and differences between heart age and chronological age (excess heart age) and examines racial, sociodemographic, and regional disparities in heart age among U.S. adults aged 30-74 years. METHODS: Weighted 2011 and 2013 Behavioral Risk Factor Surveillance System data were applied to the sex-specific non-laboratory-based Framingham risk score models, stratifying the results by age and race/ethnic group, educational and income level, and state. These results were then translated into age-standardized heart age values, mean excess heart age was calculated, and the findings were compared across groups. RESULTS: Overall, average predicted heart age for adult men and women was 7.8 and 5.4 years older than their chronological age, respectively. Statistically significant (p<0.05) racial/ethnic, sociodemographic, and regional differences in heart age were observed: heart age among non-Hispanic black men (58.7 years) and women (58.9 years) was greater than other racial/ethnic groups, including non-Hispanic white men (55.3 years) and women (52.5 years). Excess heart age was lowest for men and women in Utah (5.8 and 2.8 years, respectively) and highest in Mississippi (10.1 and 9.1 years, respectively). CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: The predicted heart age among U.S. adults aged 30-74 years was significantly higher than their chronological age. Use of predicted heart age might 1) simplify risk communication and motivate more persons to live heart-healthy lifestyles and better comply with recommended therapeutic interventions, and 2) motivate communities to implement programs and policies that support cardiovascular health.

Predicted 10-year risk of developing cardiovascular disease at the state level in the U.S.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death in the U.S. State-specific predicted 10-year risk of developing CVD could provide useful information for state health planning and policy. PURPOSE: To estimate state-specific 10-year risk of developing CVD. METHODS: Using the updated non-laboratory-based Framingham CVD Risk Score (RS), this study estimated 10-year risk of developing CVD; coronary heart disease (CHD); and stroke, stratified by demographic factors and by state among 2009 Behavioral Risk Factors Surveillance System participants aged 30-74 years. Data analysis was completed in June 2014. RESULTS: The age-standardized mean CVD, CHD, and stroke RSs for adults aged 30-74 years were 14.6%, 10.4%, and 2.3% among men, respectively, and 7.5%, 4.5%, and 1.8% among women. RSs increased significantly with age and were highest among non-Hispanic blacks, those with less than high school education, and households with incomes <$35,000. State-specific age-standardized CVD, CHD, and stroke RS ranged, among men, from lows in Utah (13.2%, 9.6%, and 2.1%, respectively) to highs in Louisiana (16.2%, 11.7%, and 2.6%), and among women, from lows in Minnesota (6.3%, 3.8%, and 1.5%) to highs in Mississippi (8.7%, 5.3%, and 2.1%). CONCLUSIONS: The predicted 10-year risk of developing CVD varies significantly by age, gender, race/ethnicity, educational attainment, household income, and state of residence. These results support the development and implementation of targeted prevention programs by states to address the risk of developing CVD, CHD, and stroke among their populations.

Geographic and racial patterns of preventable hospitalizations for hypertension: Medicare beneficiaries, 2004-2009.

OBJECTIVES: Hypertension as the primary reason for hospitalization is often used to indicate failure of the outpatient health-care system to prevent and control high blood pressure. Investigators have reported increased rates of these preventable hospitalizations for black people compared with white people; however, none have mapped them nationally by race. METHODS: We used Medicare Part A data to estimate preventable hypertension hospitalizations from 2004-2009 using technical specifications published by the Agency for Healthcare Research and Quality. Rates per 100,000 beneficiaries were age- and sex-standardized to 2000 U.S. Census data. We mapped county-level rates by race and identified clusters of counties with extreme rates. RESULTS: Black people had higher crude rates of these hospitalizations than white people for every year studied, and the test for an increasing linear time trend for the standardized rates was significant for both black and white people; that is, the gap between the races increased over time. For both races, clusters of high-rate counties occurred primarily in parts of Oklahoma, Texas, Southern Alabama, and Louisiana. High rates for white people were also found in parts of Appalachia. Large differences in rates among black and white people were found in a number of large urban areas and in parts of Florida and Alabama. CONCLUSIONS: Racial disparities in preventable hospitalizations for hypertension persisted through 2009. The gap between black and white people is increasing, and these inequities exist unevenly across the country. Although this study was intended to be purely descriptive, future studies should use multivariate analyses to examine reasons for these unequal distributions.

Surveillance for certain health behaviors among States and selected local areas - United States, 2010.

PROBLEM: Chronic diseases (e.g., heart disease, stroke, cancer, and diabetes) are the leading causes of morbidity and mortality in the United States. Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs. Monitoring and evaluating health-risk behaviors and the use of health services is essential to developing intervention programs, promotion strategies, and health policies that address public health at multiple levels, including state, territory, metropolitan and micropolitan statistical area (MMSA), and county. REPORTING PERIOD: January-December 2010. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed 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 and practices related to the leading causes of death and disabilities in the United States. This report presents results for 2010 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the U.S. Virgin Islands, 192 MMSAs, and 302 counties. RESULTS: In 2010, the estimated prevalence of high-risk health behaviors, chronic diseases and conditions, access to health care, and use of preventive health services varied substantially by state and territory, MMSA, and county. In the following summary of results, each set of proportions refers to the range of estimated prevalence for the disease, condition, or behaviors, as reported by survey respondents. Adults reporting good or better health: 67.9%-89.3% for states and territories, 72.2%-92.1% for MMSAs, and 72.8%-95.8% for counties. Adults with health-care coverage: 69.4%-95.7% for states and territories, 45.7%-97.0% for MMSAs, and 45.7%-97.2% for counties. Adults who had a dental visit in the past year: 57.2%-81.7% for states and territories, 47.1%-83.5% for MMSAs, and 47.1%-88.2% for counties. Adults aged ≥65 years having had all their natural teeth extracted (edentulism): 7.4%-36.0% for states and territories, 4.8%-34.8% for MMSAs, and 2.4%-39.3% for counties. A routine physical checkup during the preceding 12 months: 53.8%-80.0% for states and territories, 49.5%-82.6% for MMSAs, and 49.5%-85.3% for counties. Influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.9%-73.4% for states and territories, 51.7%-77.1% for MMSAs, and 49.3%-87.8% for counties. Pneumococcal vaccination ever received among adults aged ≥65 years: 24.7%-74.0% for states and territories, 48.6%-79.9% for MMSAs, and 47.6%-83.1% for counties. Sigmoidoscopy or colonoscopy ever received among adults aged ≥50 years: 37.8%-75.7% for states and territories, 37.3%-79.9% for MMSAs, and 37.3%-82.5% for counties. Blood stool test received during the preceding 2 years among adults aged ≥50 years: 8.5%-27.0% for states and territories, 6.7%-51.3% for MMSAs, and 6.8%-57.2% for counties. Women who reported having had a Papanicolaou test during the preceding 3 years: 67.8%-88.9% for states and territories, 63.3%-91.2% for MMSAs, and 63.2%-95.7% for counties. Women aged ≥40 years who had a mammogram during the preceding 2 years: 63.8%-83.6% for states and territories, 60.3%-86.2% for MMSAs, and 59.3%-89.7% for counties. Current cigarette smokers: 5.8%-26.8% for states and territories, 5.8%-28.5% for MMSAs, and 5.9%-29.8% for counties. Binge drinking during the preceding month: 6.6%-21.6% for states and territories, 3.6%-23.0% for MMSAs, and 3.8%-24.0% for counties. Heavy drinking during the preceding month: 2.0%-7.2% for states and territories, 1.0%-10.0% for MMSAs, and 1.0%-14.2% for counties. Adults reporting no leisure-time physical activity: 17.5%-42.3% for states and territories, 13.1%-37.6% for MMSAs, and 8.5%-39.0% for counties. Adults who were overweight: 32.6%-40.7% for states and territories, 28.5%-42.5% for MMSAs, and 27.2%-46.4% for counties. Adults aged ≥20 years who were obese: 22.1%-35.0% for states and territories, 17.1%-42.1% for MMSAs, and 13.3%-42.1% for counties. Adults with current asthma: 5.2%-11.1% for states and territories, 3.4%-14.5% for MMSAs, and 3.3%-14.6% for counties. Adults with diagnosed diabetes: 5.3%-13.2% for states and territories, 4.6%-15.4% for MMSAs, and 2.6%-18.8% for counties. Adults with limited activities because of physical, mental or emotional problems: 10.8%-28.2% for states and territories, 13.5%-38.3% for MMSAs, and 11.7%-32.0% for counties. Adults using special equipment because of any health problem: 2.8%-10.6% for states and territories, 4.5%-15.5% for MMSAs, and 1.3%-15.5% for counties. Adults aged ≥45 years who have had coronary heart disease: 5.3%-16.7% for states and territories, 6.5%-19.6% for MMSAs, and 4.9%-19.6% for counties. Adults aged ≥45 years who have had a stroke: 2.4%-7.1% for states and territories, 2.3%-8.8% for MSMAs, and 1.7%-8.8% for counties. INTERPRETATION: The findings in this report indicate substantial variations in the health-risk behaviors, chronic diseases and conditions, access to health-care services, and the use of the preventive health services among U.S. adults at the state and territory, MMSA, and county levels. Healthy People 2010 (HP 2010) objectives were established to monitor health behaviors, conditions, and the use of preventive health services for the first decade of the 2000s. The findings in this report indicate that many of the HP 2010 objectives were not achieved by 2010. The findings underscore the continued need for surveillance of health-risk behaviors, chronic diseases, and conditions and of the use of preventive health-care services. PUBLIC HEALTH ACTION: Local and state health departments and federal agencies use BRFSS data to identify populations at high risk for certain health-risk behaviors, chronic diseases, and conditions and to evaluate the use of preventive health-care services. BRFSS data also are used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality from chronic conditions and corresponding health-risk behaviors.

Association of total calcium and dietary protein intakes with fracture risk in postmenopausal women: the 1999-2002 National Health and Nutrition Examination Survey (NHANES).

OBJECTIVE: We examined the associations of total calcium intake (TCI) and dietary protein intake (DPI) with risk of fracture. METHODS: A total of 2006 postmenopausal women >or=50 y of age who were measured in the 1999-2002 National Health and Nutrition Examination Survey were included in the study. Weighted mean TCI and DPI and percentage of distributions of selected characteristics were estimated by TCI category and fracture status. Multivariate logistic regression models were used to assess the effect of TCI and DPI on risk of fracture. RESULTS: Thirteen percent of participants reported a fracture history, of whom 17.8% consumed a total of >or=1200 mg of calcium per day and 23.8% consumed <400 mg/d. TCI was not associated with fracture risk when controlling for all selected covariates. In women who consumed <46 g/d of dietary protein, those with a TCI >or=1200 mg/d had a significantly higher risk of fracture than those with the lowest TCI (adjusted odds ratio 5.98, 95% confidence interval 1.15-31.13), whereas in women who consumed >70 g/d of dietary protein, those with a TCI >or=1200 mg/d had an insignificant lower risk of fracture (adjusted odds ratio 0.69, 95% confidence interval 0.20-2.39). CONCLUSION: TCI is not associated with risk of fracture among postmenopausal women. Adequate TCI in the presence of inadequate DPI may not be protective against fractures. Optimal proportion of TCI and DPI warrants further investigation among older women.

Surveillance of certain health behaviors among states and selected local areas--United States, 2005.

PROBLEM: Behavioral risk factors such as smoking, poor diet, physical inactivity, and excessive drinking are linked to the leading causes of death in the United States. Controlling these behavioral risk factors and using preventive health services (e.g., influenza and pneumococcal vaccination of adults aged > or =65 years and hypertension and cholesterol screenings) can substantially reduce the morbidity and mortality in the U.S. population. Continuous monitoring of these behaviors and preventive services are essential for developing health promotion, intervention programs, and health policies at the state, city, and county level. REPORTING PERIOD COVERED: Data collected in 2005 are presented for states/territories, selected metropolitan and micropolitan statistical areas (MMSAs), metropolitan divisions, and selected counties. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit--dialed telephone survey of the noninstitutionalized U.S. population aged > or =18 years. BRFSS collects information on health risk behaviors and preventive health services related to leading causes of death. All 50 states, the District of Columbia (DC), the Commonwealth of Puerto Rico, and the U.S. Virgin Islands participated in BRFSS during 2005. Within these states and territories, 153 MMSAs and 232 counties that reported data for at least 500 respondents or a minimum sample size of 19 per weighting class were included in the analyses. RESULTS: Prevalence of health-risk behaviors, awareness of specific medical conditions, and use of preventive services varied substantially by state/territory, MMSA, and county. In 2005, prevalence of health insurance ranged from 60% to 95% for states/territories, MMSAs, and counties. Prevalence of leisure-time physical inactivity ranged from 16% to 49% for states/territories, 14% to 36% for MMSAs, and 12% to 41% for counties. Prevalence of adults who engaged in at least moderate physical activity ranged from 33% to 62%, and prevalence of vigorous physical activity ranged from 15% to 42% for states/territories, MMSAs, and counties. Prevalence of adults who currently smoke cigarettes ranged from 6% to 35% for states/territories, MMSAs, and counties. The prevalence of binge drinking was substantially higher than the prevalence of heavy drinking across all the states/territories, MMSAs, and counties. Prevalence of adults who were overweight ranged from 53% to 67 % for states/territories, 49% to 70% for MMSAs, and 44% to 71% for counties. Prevalence of current asthma ranged from 4% to 14% for states/territories, MMSAs, and counties. Prevalence of diabetes ranged from 4% to 14% for states/territories and MMSAs and from 3% to 14% for counties. Proportion of respondents with high blood pressure ranged from 13% to 39% for states/territories, MMSAs and counties. Prevalence of respondents with high cholesterol ranged from 31% to 41% for states/territories and 26% to 47% for MMSAs and counties. The prevalence estimates for respondents who reported being limited in any way in any activities because of physical, mental, or emotional problems ranged from 10% to 27% for states/territories, 12% to 31% for MMSAs, and 10% to 27% for counties. The percentage of respondents who required use of special equipment ranged from 4% to 10% for the states/territories, 3% to 15% for MMSAs, and 3% to 11% for counties. Prevalence of fair or poor health ranged from 11% to 34% for states/territories and 6% to 26% for MMSAs and counties. The prevalence of adults who checked their cholesterol during the preceding 5 years ranged from 55% to 86% for states/territories, MMSAs, and counties. Prevalence of annual influenza vaccination among adults aged > or =65 years ranged from 32% to 78% for states/territories, 48% to 83% for MMSAs, and 41% to 84% for counties. The estimated prevalence of pneumococcal vaccination among adults aged > or =65 years ranged from 28% to 72% for states/territories, 52% to 82% for MMSAs, and 35% to 83% for counties. INTERPRETATION: The findings in this report indicate a wide variation in health-risk behaviors, chronic conditions, and use of preventive services among U.S. adults at the state/territory, MMSA, and county level. The findings underscore a need for continuous efforts to evaluate public health intervention programs and policies designed to reduce morbidity and mortality caused by chronic disease and injury. PUBLIC HEALTH ACTION: The 2005 BRFSS data indicate a need for continued monitoring of health-risk behaviors, specific disease conditions, and use of preventive services to identify high-risk populations and to implement and monitor health-promotion programs and health policies at the state/territory, MMSA, and county level.

Association between the metabolic syndrome and its components and gait speed among U.S. adults aged 50 years and older: a cross-sectional analysis.

BACKGROUND: To examine the relationship between the metabolic syndrome and its components and gait speed among older U.S. men and women. Whether these associations are independent of physical activity was also explored. METHODS: Eight hundred and thirty-five men and 850 women aged > or =50 years from the continuous National Health and Nutrition Examination Survey 1999-2002 were examined. We used the definition of the metabolic syndrome developed by the U.S. National Cholesterol Education Program Adult Treatment Panel III. Gait speed was measured with a 6.10-meter timed walk examination. RESULTS: The prevalence of the metabolic syndrome was 40.2% in men and 45.6% in women (P = .127). The prevalence of gait speed impairment was 29.3% in men and 12.5% in women (P < .001). No association was found between the metabolic syndrome and gait speed impairment. After including the individual components of the metabolic syndrome in a logistic model adjusted for age and leisure-time physical activity, abdominal obesity, low HDL cholesterol, and high fasting glucose were significantly associated with gait speed impairment among women (adjusted odds ratio [AOR] = 0.48, 95% confidence interval [CI] = 0.26 to 0.89; AOR = 2.26, 95% CI = 1.08 to 4.75; and AOR = 2.05, 95% CI = 1.12 to 3.74, respectively). Further adjustment for race/ethnicity, education, smoking status, alcohol consumption, arthritis status, and use of an assistive device attenuated these associations; among women, abdominal obesity and low HDL cholesterol remained significantly associated with gait speed impairment (AOR = 0.37, 95% CI = 0.18 to 0.76 and AOR = 2.45, 95% CI = 1.07 to 5.63, respectively) while the association between hyperglycemia and impaired gait speed attenuated to nonsignificance. CONCLUSION: Among women, gait speed impairment is associated with low HDL cholesterol and inversely with abdominal obesity. These associations may be sex-dependent and warrant further research.