Tuberculosis Disease Among Nonimmigrant Visa Holders Reported to US Quarantine Stations, January 2011-June 2016.

US-bound immigrants and refugees undergo a mandatory overseas medical examination that includes tuberculosis screening; this exam is not routinely required for temporary visitors applying for non-immigrant visas (NIV) to visit, work, or study in the United States. US health departments and foreign ministries of health report tuberculosis cases in travelers to Centers for Disease Control and Prevention Quarantine Stations. We reviewed cases reported to this passive surveillance system from January 2011 to June 2016. Of 1252 cases of tuberculosis in travelers reported to CDC, 114 occurred in travelers with a long-term NIV. Of these, 83 (73%) were infectious; 18 (16%) with multidrug-resistant tuberculosis (MDR TB) and one with extensively drug-resistant tuberculosis (XDR TB). We found evidence that NIV holders are diagnosed with tuberculosis disease in the United States. Given that long-term NIV holders were over-represented in this data set, despite the small proportion (4%) of overall non-immigrant admissions they represent, expanding the US overseas migration health screening program to this population might be an efficient intervention to further reduce tuberculosis in the United States.

Minority Health Social Vulnerability Index and COVID-19 vaccination coverage - The United States, December 14, 2020-January 31, 2022.

INTRODUCTION: In 2021, HHS Office of Minority Health and CDC developed a composite measure of social vulnerability called the Minority Health Social Vulnerability Index (MHSVI) to assess the needs of communities most vulnerable to COVID-19. The MHSVI extends the CDC Social Vulnerability Index with two new themes on healthcare access and medical vulnerability. This analysis examines COVID-19 vaccination coverage by social vulnerability using the MHSVI. METHODS: County-level COVID-19 vaccine administration data among persons aged ≥18 years reported to CDC from 12/14/20 to 01/31/22 were analyzed. U.S. counties from 50 states and DC were categorized into tertiles of vulnerability (low, moderate, and high) for the composite MHSVI measure and each of the 34 indicators. Vaccination coverage (≥1 dose, primary series completion, and receipt of a booster dose) was calculated by tertiles for the composite MHSVI measure and each indicator. RESULTS: Counties with lower per capita income, higher proportion of individuals with no high school diploma, living below poverty, ≥65 years of age, with a disability, and in mobile homes had lower vaccination uptake. However, counties with larger proportions of racial/ethnic minorities and individuals speaking English less than "very well" had higher coverage. Counties with fewer primary care physicians and greater medical vulnerabilities had lower ≥ 1 dose vaccination coverage. Furthermore, counties of high vulnerability had lower primary series completion and receipt of a booster dose. There were no clear patterns in COVID-19 vaccination coverage by tertiles for the composite measure. CONCLUSION: Results from the new components in the MHSVI identify needs to prioritize persons in counties with greater medical vulnerabilities and limited access to health care, who are at greater risk for adverse COVID-19 outcomes. Findings suggest that using a composite measure to characterize social vulnerability might mask disparities in COVID-19 vaccination uptake that would have otherwise been observed using specific indicators.

Urban and Rural Child Deaths from Motor Vehicle Crashes: United States, 2015-2019.

OBJECTIVE: The objective of the study was to examine child deaths in motor vehicle crashes by rurality, restraint use, and state child passenger restraint laws. STUDY DESIGN: 2015-2019 Fatality Analysis Reporting System data were analyzed to determine deaths and rates by passenger and crash characteristics. Optimal restraint use was defined using age and the type of the restraint according to child passenger safety recommendations. RESULTS: Death rates per 100 000 population were highest for non-Hispanic Black (1.96; [1.84, 2.07]) and American Indian or Alaska Native children (2.67; [2.14, 3.20]) and lowest for Asian or Pacific Islander children (0.57; [0.47, 0.67]). Death rates increased with rurality with the lowest rate (0.88; [0.84, 0.92]) in the most urban counties and the highest rate (4.47; [3.88, 5.06]) in the most rural counties. Children who were not optimally restrained had higher deaths rates than optimally restrained children (0.84; [0.81, 0.87] vs 0.44; [0.42, 0.46], respectively). The death rate was higher in counties where states only required child passenger restraint use for passengers aged ≤6 years (1.64; [1.50, 1.78]) than that in those requiring child passenger restraint use for passengers aged ≤7 or ≤8 years (1.06; [1.01, 1.12]). CONCLUSIONS: Proper restraint use and extending the ages covered by child passenger restraint laws reduce the risk for child crash deaths. Additionally, racial and geographic disparities in crash deaths were identified, especially among Black and Hispanic children in rural areas. Decision makers can consider extending the ages covered by child passenger restraint laws until at least age 9 to increase proper child restraint use and reduce crash injuries and deaths.

Does geographic location matter for transportation risk behaviors among U.S. public high school students?

Introduction: Teen motor vehicle crash fatality rates differ by geographic location. Studies assessing teen transportation risk behaviors by location are inconclusive. Therefore, we explored the role of census region and metropolitan status for driving prevalence and four transportation risk behaviors among U.S. public high school students. Methods: Data from 2015 and 2017 national Youth Risk Behavior Surveys were combined and analyzed. Multivariable models controlled for sex, age, race/ethnicity, grades in school, and school socioeconomic status. Results: Overall, 41% of students did not always wear a seat belt. Students attending schools in the Northeast were 40% more likely than those in the Midwest to not always wear a seat belt. Among the 75% of students aged ≥16 years who had driven during the past 30 days, 47% texted/e-mailed while driving. Students in the Northeast were 20% less likely than those in the Midwest to text/e-mail while driving, and students attending suburban or town schools were more likely to text/e-mail while driving (20% and 30%, respectively) than students attending urban schools. Nineteen percent of students rode with a driver who had been drinking alcohol, and 7% of drivers aged ≥16 years drove when they had been drinking alcohol, with no significant differences by location for either alcohol-related behavior. Conclusions: We found few differences in teen transportation risk behaviors by census region or metropolitan status. Age at licensure, time since licensure, driving experience, and the policy and physical driving environment might contribute more to variation in teen fatal crashes by location than differences in transportation risk behaviors. Regardless of location, teen transportation risk behaviors remain high. Future research could address developing effective strategies to reduce teen cell phone use while driving and enhancing community implementation of existing, effective strategies to improve seat belt use and reduce alcohol consumption and driving after drinking alcohol.

Diabetes is associated with increased prevalence of latent tuberculosis infection: Findings from the National Health and Nutrition Examination Survey, 2011-2012.

AIMS: We aim to determine the association between prediabetes and diabetes with latent TB using National Health and Nutrition Examination Survey data. METHODS: We performed a cross-sectional analysis of 2011-2012 National Health and Nutrition Examination Survey data. Participants ≥20 years were eligible. Diabetes was defined by glycated hemoglobin (HbA1c) as no diabetes (≤5.6% [38 mmol/mol]), prediabetes (5.7-6.4% [39-46 mmol/mol]), and diabetes (≥6.5% [48 mmol/mol]) combined with self-reported diabetes. Latent TB infection was defined by the QuantiFERON®-TB Gold In Tube (QFT-GIT) test. Adjusted odds ratios (aOR) of latent TB infection by diabetes status were calculated using logistic regression and accounted for the stratified probability sample. RESULTS: Diabetes and QFT-GIT measurements were available for 4958 (89.2%) included participants. Prevalence of diabetes was 11.4% (95%CI 9.8-13.0%) and 22.1% (95%CI 20.5-23.8%) had prediabetes. Prevalence of latent TB infection was 5.9% (95%CI 4.9-7.0%). After adjusting for age, sex, smoking status, history of active TB, and foreign born status, the odds of latent TB infection were greater among adults with diabetes (aOR 1.90, 95%CI 1.15-3.14) compared to those without diabetes. The odds of latent TB in adults with prediabetes (aOR 1.15, 95%CI 0.90-1.47) was similar to those without diabetes. CONCLUSIONS: Diabetes is associated with latent TB infection among adults in the United States, even after adjusting for confounding factors. Given diabetes increases the risk of active TB, patients with co-prevalent diabetes and latent TB may be targeted for latent TB treatment.

United States Notifications of Travelers from Ebola-Affected Countries.

The International Health Regulations (IHR), an international law under the auspices of the World Health Organization (WHO), mandates that countries notify other countries of "travelers under public health observation." Between November 10, 2014, and July 12, 2015, the US Centers for Disease Control and Prevention (CDC) made 2,374 notifications to the National IHR Focal Points in 114 foreign countries of travelers who were monitored by US health departments because they had been to an Ebola-affected country in West Africa. Given that countries have preidentified focal points as points of contacts for sharing of public health information, notifications could be made by CDC to a trusted public health recipient in another country within 24 hours of receipt of the traveler's information from a US health department. The majority of US health departments used this process, offered by CDC, to notify other countries of travelers intending to leave the United States while being monitored in their jurisdiction.

Chronic Disease Disparities by County Economic Status and Metropolitan Classification, Behavioral Risk Factor Surveillance System, 2013.

INTRODUCTION: Racial/ethnic disparities have been studied extensively. However, the combined influence of geographic location and economic status on specific health outcomes is less well studied. This study's objective was to examine 1) the disparity in chronic disease prevalence in the United States by county economic status and metropolitan classification and 2) the social gradient by economic status. The association of hypertension, arthritis, and poor health with county economic status was also explored. METHODS: We used 2013 Behavioral Risk Factor Surveillance System data. County economic status was categorized by using data on unemployment, poverty, and per capita market income. While controlling for sociodemographics and other covariates, we used multivariable logistic regression to evaluate the relationship between economic status and hypertension, arthritis, and self-rated health. RESULTS: Prevalence of hypertension, arthritis, and poor health in the poorest counties was 9%, 13%, and 15% higher, respectively, than in the most affluent counties. After we controlled for covariates, poor counties still had a higher prevalence of the studied conditions. CONCLUSION: We found that residents of poor counties had a higher prevalence of poor health outcomes than affluent counties, even after we controlled for known risk factors. Further, the prevalence of poor health outcomes decreased as county economics improved. Findings suggest that poor counties would benefit from targeted public health interventions, better access to health care services, and improved food and built environments.

Best (but oft-forgotten) practices: checking assumptions concerning regression residuals.

The residuals of a least squares regression model are defined as the observations minus the modeled values. For least squares regression to produce valid CIs and P values, the residuals must be independent, be normally distributed, and have a constant variance. If these assumptions are not satisfied, estimates can be biased and power can be reduced. However, there are ways to assess these assumptions and steps one can take if the assumptions are violated. Here, we discuss both assessment and appropriate responses to violation of assumptions.

Improving blood pressure control in a large multiethnic California population through changes in health care delivery, 2004-2012.

The Kaiser Permanente Southern California (Kaiser) health care system succeeded in improving hypertension control in a multiethnic population by adopting a series of changes in health care delivery. Data from the Healthcare Effectiveness Data and Information Set (HEDIS) was used to assess blood pressure control from 2004 through 2012. Hypertension control increased overall from 54% to 86% during that period, and 80% or more in every subgroup, regardless of race/ethnicity, preferred language, or type of health insurance plan. Health care delivery changes improved hypertension control across a large multiethnic population, which indicates that health care systems can achieve a clinical target goal of 70% for hypertension control in their populations.

Trends in high LDL cholesterol, cholesterol-lowering medication use, and dietary saturated-fat intake: United States, 1976-2010.

From 1976­1980 through 2007­2010, for U.S. adults aged 40­74, a decrease was observed in the prevalence of high LDL­C, as well as an increase in adults using lipid-lowering medications and consuming a diet low in saturated fat. A substantial decline in the prevalence of high LDL­C from 59% to 28% was seen over this same time period. There also were significant increases in the percentage of adults meeting federal dietary guidelines (6) for low dietary saturated-fat intake, from 25% to 42%, between 1976­1980 and 2007­2010; however, no significant changes were observed from 1988­1994 to 2007­2010. Although declines in the proportion of calories from saturated fat have occurred since the 1970s, the average dietary energy intake has increased (7). Use of cholesterol-lowering medication continued to grow steadily, from 5% to 23%, from 1988­1994 to 2007­2010. Despite recent advances in medical treatment, high cholesterol remains a significant public health problem in the United States, with more than one-quarter of adults aged 40­74 having high LDL­C. These findings may provide useful information for evaluation of programs and policy initiatives aimed at reducing the prevalence of high cholesterol in the adult population.

Hypertension in women of reproductive age in the United States: NHANES 1999-2008.

OBJECTIVE: To examine the epidemiology of hypertension in women of reproductive age. METHODS: Using NHANES from 1999-2008, we identified 5,521 women age 20-44 years old. Hypertension status was determined using blood pressure measurements and/or self-reported medication use. RESULTS: The estimated prevalence of hypertension in women of reproductive age was 7.7% (95% confidence interval (CI): 6.9%-8.5%). The prevalence of anti-hypertensive pharmacologic therapy was 4.2% (95% CI 3.5%-4.9%). The prevalence of hypertension was relatively stable across the study period; the age and race adjusted odds of hypertension in 2007-2008 did not differ significantly from 1999-2000 (odds ratio 1.2, CI 0.8 to 1.7, p = 0.45). Significant independent risk factors associated with hypertension included older age, non-Hispanic black race (compared to non-Hispanic whites), diabetes mellitus, chronic kidney disease, and higher body mass index. The most commonly used antihypertensive medications included diuretics, angiotensin-converting enzyme inhibitors (ACE), and beta blockers. CONCLUSION: Hypertension occurs in about 8% of women of reproductive age. There are remarkable differences in the prevalence of hypertension between racial/ethnic groups. Obesity is a risk factor of particular importance in this population because it affects over 30% of young women in the U.S., is associated with more than 4 fold increased risk of hypertension, and is potentially modifiable.

The changing incidence of in situ and invasive ductal and lobular breast carcinomas: United States, 1999-2004.

BACKGROUND: National incidence rates for lobular and ductal breast cancers have not been available previously. Evidence suggests that the increased risk of breast cancer associated with combined hormone replacement therapy use is higher for invasive lobular cancers (ILC) than for invasive ductal cancers (IDC). This study provides U.S. incidence rates for these histologic types for both in situ and invasive cancers and assesses changes in the incidence of these cancers over time. METHODS: Data for this study included incident ductal and lobular breast cancer cases diagnosed from 1999 through 2004 in central cancer registries in 44 states and the District of Columbia from the National Program of Cancer Registries and the Surveillance, Epidemiology, and End Results program. We estimated incidence per 100,000 women by 10-year age groups, race, and ethnicity. We also assessed the percent change in invasive and in situ cancer incidence over time. RESULTS: We observed distinct differences in the change of incidence over time between in situ and invasive lobular and ductal breast cancers. The age-adjusted rates of ILC and IDC declined an average of 4.6% and 3.3% per year, respectively. Overall, ILC decreased 20.5% from 1999 to 2004. The patterns of ductal and lobular in situ cancer incidence were not consistent over time, and the total change was negligible. CONCLUSION: The declines in ILC observed in our study are consistent with a decrease in cancer incidence related to a reduced use of combined hormone replacement therapy. However, other factors could also be responsible for these changes.

Surveillance for health behaviors of American Indians and Alaska Natives-findings from the behavioral risk factor surveillance system, 2000-2006.

BACKGROUND: The authors compared estimates for cancer risk factors, use of cancer screening tests, health status indicators, and access to care for American Indians and Alaska Natives (AI/ANs) and non-Hispanic whites (NHWs) in the US and for AI/ANs in 6 Indian Health Service regions. METHODS: Behavioral Risk Factor Surveillance System data were aggregated from the years 2000 through 2006 and were used to calculate weighted prevalence estimates by gender for key variables except demographic variables. RESULTS: Compared with NHWs, AI/ANs had lower prevalence estimates for income, educational attainment, insurance coverage, and access to personal healthcare providers. AI/ANs in Alaska and NHWs had similar estimates for diabetes (approximately 6%); however, the prevalence was nearly twice as high among AI/ANs in the other regions. The prevalence of obesity was higher for AI/ANs (29.6%) than for NHWs (20.9%). The prevalence of binge drinking was higher among AI/AN males (24.9%) than among AI/AN females (8.5%). Heavy drinking was more prevalent among NHW females (5.3%) than among AI/AN females (3.5%). AI/ANs were more likely to be current smokers (31.1%) than NHWs (22.8%). The prevalence of AI/ANs who never smoked ranged from 31.5% in Alaska to 56.9% in the Southwest. In 5 of the 6 regions, AI/AN females had lower prevalence estimates of both Papanicolaou and mammography testing than NHW females. The use of colorectal cancer screening tests was more common among NHWs (53.8%) than among AI/ANs (44%). CONCLUSIONS: Although cancer health disparities persist among AI/ANs, the current analysis indicated that variation in the prevalence of their chronic disease risk factors may be obscured when national data are not examined by smaller geographic areas such as regions.

Prostate cancer incidence among American Indian and Alaska Native men, US, 1999-2004.

BACKGROUND: American Indian and Alaska Native (AI/AN) men experience lower incidence of prostate cancer than other race/ethnic populations in the US, but racial misclassification of AI/AN men threatens the validity of these estimates. To the authors' knowledge, little is known concerning prostate-specific antigen (PSA) testing in AI/AN men. METHODS: The authors linked cancer registry data with Indian Health Service enrollment records to improve race classification. Analyses comparing cancer incidence rates and stage at diagnosis for AI/AN and non-Hispanic white (NHW) men for 6 geographic regions focused on counties known to have less race misclassification. The authors also used Behavioral Risk Factors Surveillance System data to characterize PSA testing in AI/AN men. RESULTS: Prostate cancer incidence rates were generally lower in AI/AN than in NHW men for all regions combined (rate ratio of 0.68). However, regional variation was noted among AI/AN men, with incidence rates (per 100,000 population) ranging from 65.7 in the Southwest to 174.5 on the Northern Plains. The rate of distant stage disease was somewhat higher among AI/AN (7.8) than NHW (6.2) men. Nationally, AI/AN men were less likely than NHW men to have undergone recent PSA testing (48.4% vs 58.0%), with prominent regional variation in screening rates noted. CONCLUSIONS: Prostate cancer incidence rates and the proportion of men with recent PSA testing were lower for AI/AN men than for NHW men. However, incident rates and rate of distant stage varied by region more for AI/AN than for NHW. Further research is needed among AI/AN men to evaluate strategies for better understanding the causes of the regional variation in prostate cancer incidence.

Trends in colorectal cancer screening disparities in people aged 50-64 years, 2000-2005.

BACKGROUND: Colorectal cancer (CRC) screening rates are low, and racial, ethnic, and economic disparities have been reported. Whether disparities in CRC screening have decreased over time is unknown. This study aimed to determine whether progress was made between 2000 and 2005 in reducing CRC screening disparities by race, ethnicity, income, and insurance status. METHODS: Age-adjusted percentages of participants aged 50-64 who reported CRC screening (home fecal occult blood test in the past year or endoscopy in the past 10 years) were estimated from the 2000 (n=6,020 participants) and 2005 (n=6,706) cancer control supplements of the National Health Interview Survey, with analysis in 2007. RESULTS: Screening rates did not increase between 2000 and 2005 for Hispanic women or uninsured women. Only for high-income participants did screening exceed 50%. For both men and women, the uninsured had the lowest levels of screening (19.1% and 19.3%, respectively, in 2005), and the greatest disparities were observed among groups defined by health insurance status. For women, disparities by ethnicity, income, and insurance status increased over time, whereas among men, disparities in 2005 were similar to those in 2000. For Hispanic women, growing disparities were present at all income and insurance levels and persisted after additional adjustment. CONCLUSIONS: No progress was made in reducing most CRC screening disparities between 2000 and 2005. Methods are needed to increase CRC screening among everyone, but in particular Hispanic women and uninsured men and women.

Disparities in mammography use among US women aged 40-64 years, by race, ethnicity, income, and health insurance status, 1993 and 2005.

OBJECTIVE: To examine current disparities in mammography use, and changes in disparities over time by race, ethnicity, income, insurance, and combinations of these characteristics. RESEARCH DESIGN: Comparison of cross-sectional surveys of mammography use using the 1993 and 2005 National Health Interview Survey. SUBJECTS: Women aged 40-64 (1993, n = 4167; 2005, n = 7434). MEASURES: Mammogram within prior 2 years. RESULTS: In 2005, uninsured women reported the lowest mammography use (38.3%). Though screening increased 6.9 percentage points among low-income, uninsured women, the overall disparity between insured and uninsured women did not change significantly between 1993 and 2005. Screening seems to have declined among middle-income, uninsured women, increasing the gap compared with middle-income, insured women. The lower mammography use in 1993 among American Indian/Alaska Native compared with white women was not present in 2005; however, lower use among Asian compared with white women emerged in 2005. We found no differences between African American and white women. Hispanic women were less likely than non-Hispanic women to report screening in 2005 (58.1% vs. 69.0%). CONCLUSIONS: Although mammography use increased for some groups between 1993 and 2005, low-income, uninsured women continued to have the lowest screening rates in 2005 and the disparity for this group was not reduced. The gap in screening use for middle-income, uninsured women increased, resulting from possible declines in mammography even for uninsured women not in poverty. Asian women became less likely to receive screening in 2005. Continuing efforts are needed to eliminate disparities. Increased efforts are especially needed to address the large persistent disparity for uninsured women, including middle-income uninsured women.

Asian and Pacific Islander childhood vaccination coverage: National Immunization Survey, 2002-2004.

OBJECTIVE: Public health data on Asian/Pacific Islanders are most often collected and reported as one aggregated group. This aggregation of data can mask potential differences among the many ethnic/national/cultural groups classified as Asian/Pacific Islanders. We used data from the National Immunization Survey (NIS) to examine immunization status for all US children and four mutually exclusive groups: Asian only, Native Hawaiian only, Pacific Islander only, and other. METHODS: We included information from 64,718 US children 19-35 months of age who had adequate vaccination histories from provider(s) for 2002 to 2004; among these, 2673 (4.3%) were Asian only, Native Hawaiian only, or Pacific Islander only. The sample sizes reported are unweighted, while results are based on weighted analyses. RESULTS: Vaccination coverage estimates for children in the Native Hawaiian only group were consistently higher than estimates for all US children, whereas those in the Asian only group were nearly the same. Children in the Pacific Islander only group had vaccination coverage estimates that were lower than estimates for all US children. CONCLUSION: The results of this study indicated that although overall the Asian/Pacific Islander group had similar childhood vaccination coverage to all US children, the group does not have homogeneous coverage, with Pacific Islanders having lower coverage. Public health researchers should, whenever possible, examine individual groups of Asian/Pacific Islanders to more accurately measure the health status of this growing population.

Compliance with vaccination recommendations for U.S. children.

BACKGROUND: Official recommendations for the routine vaccination of U.S. children, made by the Advisory Committee on Immunization Practices (ACIP), specify the vaccines for administration, the number of doses that should be given, the age ranges for administration, the minimum ages at which doses are considered valid, the minimum intervals between doses within a series, and several additional vaccine-specific adjustments and exceptions. Federally reported estimates of vaccination coverage measure only compliance with the required number of doses; other recommendations are not routinely evaluated. METHODS: Analysis of vaccination histories for 17,563 U.S. children aged 19-35 months from the 2005 National Immunization Survey. MAIN OUTCOME MEASURES: Compliance with, and incremental impact of, each vaccination recommendation. RESULTS: Estimated coverage was 72% for the standard vaccination series accounting for all recommendations, 9 percentage points lower than coverage based solely on counting doses. Overall, 19% of children were missing one or more doses, while 8% had received an invalid dose, and 9% were affected by other recommendations. The proportion of noncompliance due to missed doses versus other recommendations varied by state and by antigen. CONCLUSIONS: Approximately 28% of children were not in compliance with the official vaccination recommendations. Missed doses accounted for approximately two thirds of noncompliance, with the remainder due to mis-timed doses and other requirements. Measuring compliance with all ACIP recommendations provides a valuable tool to assess and improve the quality of healthcare delivery and ensure that children and communities are optimally protected from vaccine-preventable diseases.