The variation in preventable hospitalization in patients with type 2 diabetes in Kentucky before and after the Medicaid expansion.

BACKGROUND: Hospitalizations are more resource intensive and expensive than outpatient care. Therefore, type 2 diabetes-related preventable hospitalization are a major topic of research efficiency in the healthcare system. OBJECTIVES: Analyze county level variation in type 2 diabetes-related preventable hospitalization rates in Kentucky before the Medicaid expansion (2010-2013) and after the Medicaid expansion (2014-2017). DESIGN: Geographic mapping and cluster analysis. SETTING: Data for a state of the United States of America. METHODS: We used the KID data to generate geographic mapping for type 2 diabetes-related preventable hospitalizations to visualize rates. We included all Kentucky discharges of age 18 years and older with the ICD9/10 principal diagnosis code for type 2 diabetes. Then, we conducted cluster analysis techniques to compare county-level variation in type 2 diabetes-related preventable hospitalization rates across Kentucky counties pre- and post-Medicaid expansion. MAIN OUTCOME AND MEASURES: County type 2 diabetes-related preventable hospitalization pre- and post-Medicaid expansion. RESULTS: From 2010-2017, type 2 diabetes-related preventable hospitalization discharge rates reduced significantly in the period of the post-Medicaid expansion (P=.001). The spatial statistics analysis revealed a significant spatial clustering of counties with similar rates of type 2 diabetes-related preventable hospitalization in the south, east, and southeastern Kentucky pre- and post-Medicaid expansion (positive z-score and positive Moran's Index value (P>.05). Also, there was a significant clustering of counties with low type 2 diabetes-related preventable hospitalization rates in the north, west, and central regions of the state pre-Medicaid expansion and post-Medicaid expansion (positive z-score and positive Moran's Index value (P>.05). CONCLUSION: Kentucky counties in the southeast have experienced a significant clustering of highly avoidable hospitalization rates during both periods. Focusing on the vulnerable counties and the economic inequality in Kentucky could lead to efforts to lowering future type 2 diabetes-related preventable hospitalization rates. LIMITATIONS: We used de-identified data which does not provide insights into the frequency of hospitalizations per patient. An individual patient may be hospitalized several times and counted as several individuals.

Variation between surgeons in rate of reoperation after horizontal strabismus surgery among Medicare beneficiaries: associations with patient and surgeon characteristics and adjustable sutures.

Objective: To quantify variation between surgeons in reoperation rates after horizontal strabismus surgery, and to explore associations of reoperation rate with surgical techniques, patient characteristics, and practice type and volume. Methods: Fee-for-service payments in a national database to providers for Medicare beneficiaries having strabismus surgery on horizontal muscles between 2012 and 2020 were analyzed retrospectively to identify same calendar year reoperations. Multivariable linear regression was used to determine predictors of each surgeon's reoperation rate. Results: The reoperation rate for 1-horizontal muscle surgery varied between 0.0% and 30.8% among 141 surgeons. Just 7.8% of surgeons contributed over half of the reoperation events for 1-horizontal muscle surgery, due to the presence of high-volume surgeons with high reoperation rates. Surgeon seniority, gender, surgery volume, and use of adjustable sutures were not independently associated with surgeon reoperation rate. We explored associations of reoperation with patient characteristics, such as age and poverty. Surgeons in the South tended to have a higher reoperation rate (p=0.03) in a multivariable model. However, the multivariable model could only explain 16.3% of the inter-surgeon variation in reoperation rate for 1-horizontal muscle surgery. Discussion: Strabismus surgery is similar to other areas of medicine, in which large variations in outcomes between surgeons are observed. Future work can be directed towards explaining this variation. Conclusions: Patient-level analyses that fail to consider variation between surgeons will be dominated by a small number of high-reoperation, high-volume surgeons. Order-of-magnitude variations exist in reoperation rates among strabismus surgeons, the cause of which is largely unexplained.

Exploring the association between dietary Inflammatory Index and chronic pain in US adults using NHANES 1999-2004.

Chronic pain, a substantial public health issue, may be influenced by dietary patterns through systemic inflammation. This cross-sectional study explored the association between Dietary Inflammatory Index (DII) and chronic pain among 2581 American adults from NHANES data. The DII, ranging from - 4.98 to 4.69, reflects the inflammatory potential of the diet, with higher scores indicating greater pro-inflammatory capacity. Our findings showed no significant association between the continuous DII score and chronic pain prevalence. However, a nonlinear relationship emerged. When the DII was categorized, a significant association between higher DII scores (DII ≥ 2.5) and chronic pain prevalence was observed. The analysis uncovered a U-shaped pattern, with an inflection point at a DII score of - 0.9, indicating an association between both low and high levels of dietary inflammation are associated with higher pain prevalence. This nuanced interaction between dietary inflammation and chronic pain indicates the possibility of incorporating dietary modification into pain management strategies and underscores the need for further research into the long-term effects of diet on chronic pain.

Births: Final Data for 2022.

Objectives- This report presents 2022 data on U.S. births by selected characteristics. Trends in fertility patterns and maternal and infant characteristics are described. Methods-Descriptive tabulations based on birth certificates of the 3.67 million births registered in 2022 are shown by maternal age, live-birth order, race and Hispanic origin, marital status, tobacco use, prenatal care, source of payment for the delivery, method of delivery, gestational age, birthweight, and plurality. Selected data by mother's state of residence and birth rates also are shown. Trends for 2010 to 2022 are presented for selected items, and by race and Hispanic origin for 2016-2022. Results-A total of 3,667,758 births occurred in the United States in 2022, essentially unchanged from 2021. The general fertility rate declined 1% from 2021 to 56.0 births per 1,000 females ages 15-44 in 2022. The birth rate for females ages 15-19 declined 2% from 2021 to 2022; birth rates fell 7% for women ages 20-24, rose 1% to 5% for women ages 25-29 and 35-44, and rose 12% for women ages 45-49 (the first increase since 2016). The total fertility rate declined less than 1% to 1,656.5 births per 1,000 women in 2022. Birth rates declined for unmarried women but increased for married women from 2021 to 2022. Prenatal care beginning in the first trimester declined to 77.0% in 2022; the percentage of women who smoked during pregnancy declined to 3.7%. The cesarean delivery rate was unchanged in 2022 (32.1%); Medicaid was the source of payment for 41.3% of births. The preterm birth rate declined 1% to 10.38%; the low birthweight rate rose 1% to 8.60%. The twin birth rate was unchanged in 2022 (31.2 per 1,000 births); the 2% decrease in the triplet and higher-order multiple birth rate.

Medicaid Eligibility Loss Among Dual-Eligible Beneficiaries Before and During COVID-19 Public Health Emergency.

Importance: Medicaid coverage loss can substantially compromise access to and affordability of health care for dual-eligible beneficiaries. The extent to which this population lost Medicaid coverage before and during the COVID-19 public health emergency (PHE) and the characteristics of beneficiaries more at risk for coverage loss are currently not well known. Objective: To assess the loss of Medicaid coverage among dual-eligible beneficiaries before and during the first year of the PHE, and to examine beneficiary-level and plan-level factors associated with heightened likelihood of losing Medicaid. Design, Setting, and Participants: This repeated cross-sectional study used national Medicare data to estimate annual rates of Medicaid loss among dual-eligible beneficiaries before (2015 to 2019) and during the PHE (2020). Individuals who were dual eligible for Medicare and Medicaid at the beginning of a given year and who continuously received low-income subsidies for Medicare Part D prescription drug coverage were included in the sample. Multivariable regression models were used to examine beneficiary-level and plan-level factors associated with Medicaid loss. Data analyses were conducted between March 2023 and October 2023. Exposure: Onset of PHE. Main Outcomes and Measures: Loss of Medicaid for at least 1 month within a year. Results: Sample included 56 172 736 dual-eligible beneficiary-years between 2015 and 2020. In 2020, most dual-eligible beneficiaries were aged over 65 years (5 984 420 [61.1%]), female (5 868 866 [59.9%]), non-Hispanic White (4 928 035 [50.3%]), full-benefit eligible (6 837 815 [69.8%]), and enrolled in traditional Medicare (5 343 537 [54.6%]). The adjusted proportion of dual-eligible beneficiaries losing Medicaid for at least 1 month increased from 6.6% in 2015 to 7.3% in 2019 and then dropped to 2.3% in 2020. Between 2015 and 2019, dual-eligible beneficiaries who were older (ages 55-64 years: -1.4%; 95% CI, -1.8% to -1.0%; ages 65-74 years: -2.0%; 95% CI, -2.5% to -1.5%; ages 75 and older: -4.5%; 95% CI, -5.0% to -4.0%), disabled (-0.8%; 95% CI, -1.1% to -0.6%), and in integrated care programs were less likely to lose Medicaid. In 2020, the disparities within each of these demographic groups narrowed significantly. Notably, while Black (0.6%; 95% CI, 0.2% to 0.9%) and Hispanic (0.7%; 95% CI, 0.3% to 1.2%) dual-eligible beneficiaries were more likely to lose Medicaid than their non-Hispanic White counterparts between 2015 and 2019, such gap was eliminated for Black beneficiaries and narrowed for Hispanic beneficiaries in 2020. Conclusions and Relevance: During the PHE, Medicaid coverage loss declined significantly among dual-eligible beneficiaries, and disparities were mitigated across subgroups. As the PHE unwinds, it is crucial for policymakers to implement strategies to minimize Medicaid coverage disruptions and racial and ethnic disparities, especially given that loss of Medicaid was slightly increasing over time before the PHE.

Total muscle-to-fat ratio influences urinary incontinence in United States adult women: a population-based study.

Purpose: This study aims to investigate the relationship between the total muscle-to-fat ratio (tMFR) and female urinary incontinence (UI), determine whether tMFR can serve as a useful index for predicting UI, and identify factors that may influence this relationship. Methods: We retrospectively analyzed data from 4391 adult women participating in the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. The correlation between tMFR and UI was examined using a dose-response curve generated through a restricted cubic spline (RCS) function, LASSO and multivariate logistic regression. Furthermore, predictive models were constructed incorporating factors such as age, race, hypertension, diabetes, cotinine levels, and tMFR. The performance of these predictive models was evaluated using training and test datasets, employing calibration curves, receiver operating characteristic curves, and clinical decision curves. Mediation effects were also analyzed to explore potential relationships between tMFR and female UI. Results: In a sample of 4391 adult women, 1073 (24.4%) self-reported experiencing UI, while 3318 (75.6%) reported not having UI. Based on the analyses involving LASSO regression and multivariate logistic regression, it was found that tMFR exhibited a negative association with UI (OR = 0.599, 95% CI: 0.497-0.719, P < 0.001). The results from the restricted cubic spline chart indicated a decreasing risk of UI in women as tMFR increased. Furthermore, the model constructed based on logistic regression analysis demonstrated a certain level of accuracy (in the training dataset: area under the curve (AUC) = 0.663; in the test dataset: AUC = 0.662) and clinical applicability. The mediation analysis revealed that the influence of tMFR on the occurrence of UI in women might potentially occur through the blood index lymphocyte count (P = 0.040). Conclusion: A high tMFR serves as a protective factor against UI in women. Furthermore, lymphocyte might be involved in the relationship between tMFR and female UI.

High-Acuity Alcohol-Related Complications During the COVID-19 Pandemic.

Importance: Research has demonstrated an association between the COVID-19 pandemic and increased alcohol-related liver disease hospitalizations and deaths. However, trends in alcohol-related complications more broadly are unclear, especially among subgroups disproportionately affected by alcohol use. Objective: To assess trends in people with high-acuity alcohol-related complications admitted to the emergency department, observation unit, or hospital during the COVID-19 pandemic, focusing on demographic differences. Design, Setting, and Participants: This longitudinal interrupted time series cohort study analyzed US national insurance claims data using Optum's deidentified Clinformatics Data Mart database from March 2017 to September 2021, before and after the March 2020 COVID-19 pandemic onset. A rolling cohort of people 15 years and older who had at least 6 months of continuous commercial or Medicare Advantage coverage were included. Subgroups of interest included males and females stratified by age group. Data were analyzed from April 2023 to January 2024. Exposure: COVID-19 pandemic environment from March 2020 to September 2021. Main Outcomes and Measures: Differences between monthly rates vs predicted rates of high-acuity alcohol-related complication episodes, determined using claims-based algorithms and alcohol-specific diagnosis codes. The secondary outcome was the subset of complication episodes due to alcohol-related liver disease. Results: Rates of high-acuity alcohol-related complications were statistically higher than expected in 4 of 18 pandemic months after March 2020 (range of absolute and relative increases: 0.4-0.8 episodes per 100 000 people and 8.3%-19.4%, respectively). Women aged 40 to 64 years experienced statistically significant increases in 10 of 18 pandemic months (range of absolute and relative increases: 1.3-2.1 episodes per 100 000 people and 33.3%-56.0%, respectively). In this same population, rates of complication episodes due to alcohol-related liver disease increased above expected in 16 of 18 pandemic months (range of absolute and relative increases: 0.8-2.1 episodes per 100 000 people and 34.1%-94.7%, respectively). Conclusions and Relevance: In this cohort study of a national, commercially insured population, high-acuity alcohol-related complication episodes increased beyond what was expected in 4 of 18 COVID-19 pandemic months. Women aged 40 to 64 years experienced 33.3% to 56.0% increases in complication episodes in 10 of 18 pandemic months, a pattern associated with large and sustained increases in high-acuity alcohol-related liver disease complications. Findings underscore the need for increased attention to alcohol use disorder risk factors, alcohol use patterns, alcohol-related health effects, and alcohol regulations and policies, especially among women aged 40 to 64 years.

Disparities in Tuberculosis Incidence by Race and Ethnicity Among the U.S.-Born Population in the United States, 2011 to 2021 : An Analysis of National Disease Registry Data.

BACKGROUND: Elevated tuberculosis (TB) incidence rates have recently been reported for racial/ethnic minority populations in the United States. Tracking such disparities is important for assessing progress toward national health equity goals and implementing change. OBJECTIVE: To quantify trends in racial/ethnic disparities in TB incidence among U.S.-born persons. DESIGN: Time-series analysis of national TB registry data for 2011 to 2021. SETTING: United States. PARTICIPANTS: U.S.-born persons stratified by race/ethnicity. MEASUREMENTS: TB incidence rates, incidence rate differences, and incidence rate ratios compared with non-Hispanic White persons; excess TB cases (calculated from incidence rate differences); and the index of disparity. Analyses were stratified by sex and by attribution of TB disease to recent transmission and were adjusted for age, year, and state of residence. RESULTS: In analyses of TB incidence rates for each racial/ethnic population compared with non-Hispanic White persons, incidence rate ratios were as high as 14.2 (95% CI, 13.0 to 15.5) among American Indian or Alaska Native (AI/AN) females. Relative disparities were greater for females, younger persons, and TB attributed to recent transmission. Absolute disparities were greater for males. Excess TB cases in 2011 to 2021 represented 69% (CI, 66% to 71%) and 62% (CI, 60% to 64%) of total cases for females and males, respectively. No evidence was found to indicate that incidence rate ratios decreased over time, and most relative disparity measures showed small, statistically nonsignificant increases. LIMITATION: Analyses assumed complete TB case diagnosis and self-report of race/ethnicity and were not adjusted for medical comorbidities or social determinants of health. CONCLUSION: There are persistent disparities in TB incidence by race/ethnicity. Relative disparities were greater for AI/AN persons, females, and younger persons, and absolute disparities were greater for males. Eliminating these disparities could reduce overall TB incidence by more than 60% among the U.S.-born population. PRIMARY FUNDING SOURCE: Centers for Disease Control and Prevention.

Current Trends in Hypertension Identification and Management: Insights from the National Health and Nutrition Examination Survey (NHANES) Following the 2017 ACC/AHA High Blood Pressure Guidelines.

BACKGROUND: Hypertension is a global health issue associated with increased cardiovascular morbidity and mortality. This study aimed to investigate contemporary hypertension identification and management trends following the 2017 American College of Cardiology/American Heart Association guidelines. METHODS AND RESULTS: Data from the National Health and Nutrition Examination Survey conducted from 2017 to 2020 were analyzed. Participants between 20 and 79 years of age were included. Participants were stratified into different treatment groups based on indication and guideline adherence. Descriptive statistics were used to compare medication use, diagnosis rates, and blood pressure control. A total of 265 402 026 people met the inclusion criteria, of which 19.0% (n=50 349 209) were undergoing guideline antihypertensive management. In the guideline antihypertensive management group, a single antihypertensive class was used to treat 45.7% of participants, and 55.2% had uncontrolled blood pressure. Participants not undergoing guideline antihypertensive management qualified for primary prevention in 11.5% (n=24 741 999) of cases and for secondary prevention in 2.4% (n=5 070 044) of cases; of these, 66.3% (n=19 774 007) did not know they may have hypertension and were not on antihypertensive medication. CONCLUSIONS: Adherence to guidelines for antihypertensive management is suboptimal. Over half of patients undergoing guideline treatment had uncontrolled blood pressure. One-third of qualifying participants may not be receiving treatment. Education and medical management were missing for 2 in 3 qualifying participants. Addressing these deficiencies is crucial for improving blood pressure control and reducing cardiovascular event outcomes.

Trends and Disparities in Valvular Heart Disease Mortality in the United States From 1999 to 2020.

BACKGROUND: Percutaneous heart valve procedures have been increasingly performed over the past decade, yet real-world mortality data on valvular heart disease (VHD) in the United States remain limited. METHODS AND RESULTS: We queried the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research database among patients ≥15 years old from 1999 to 2020. VHD and its subtypes were listed as the underlying cause of death. We calculated age-adjusted mortality rate (AAMR) per 100 000 individuals and determined overall trends by estimating the average annual percent change using the Joinpoint regression program. Subgroup analyses were performed based on demographic and geographic factors. In the 22-year study, there were 446 096 VHD deaths, accounting for 0.80% of all-cause mortality (56 014 102 people) and 2.38% of the total cardiovascular mortality (18 759 451 people). Aortic stenosis recorded the highest mortality of VHD-related death in both male (109 529, 61.74%) and female (166 930, 62.13%) populations. The AAMR of VHD has declined from 8.4 (95% CI, 8.2-8.5) to 6.6 (95% CI, 6.5-6.7) per 100 000 population. Similar decreasing AAMR trends were also seen for the VHD subtypes. Men recorded higher AAMR for aortic stenosis and aortic regurgitation, whereas women had higher AAMR for mitral stenosis and mitral regurgitation. Mitral regurgitation had the highest change in average annual percent change in AAMR. CONCLUSIONS: The mortality rate of VHD among the US population has declined over the past 2 decades. This highlights the likely efficacy of increasing surveillance and advancement in the management of VHD, resulting in improved outcomes.

Trends in U.S. Medical Cannabis Registrations, Authorizing Clinicians, and Reasons for Use From 2020 to 2022.

BACKGROUND: As medical cannabis availability increases, up-to-date trends in medical cannabis licensure can inform clinical policy and care. OBJECTIVE: To describe current trends in medical cannabis licensure in the United States. DESIGN: Ecological study with repeated measures. SETTING: Publicly available state registry data from 2020 to 2022. PARTICIPANTS: People with medical cannabis licenses and clinicians authorizing cannabis licenses in the United States. MEASUREMENTS: Total patient volume and prevalence per 10 000 persons in the total population, symptoms or conditions qualifying patients for licensure (that is, patient-reported qualifying conditions), and number of authorizing clinicians. RESULTS: In 2022, of 39 jurisdictions allowing medical cannabis use, 34 reported patient numbers, 19 reported patient-reported qualifying conditions, and 29 reported authorizing clinician numbers. Enrolled patients increased 33.3% from 2020 (3 099 096) to 2022 (4 132 098), with a corresponding 23.0% increase in the population prevalence of patients (175.0 per 10 000 in 2020 to 215.2 per 10 000 in 2022). However, 13 of 15 jurisdictions with nonmedical adult-use laws had decreased enrollment from 2020 to 2022. The proportion of patient-reported qualifying conditions with substantial or conclusive evidence of therapeutic value decreased from 70.4% (2020) to 53.8% (2022). Chronic pain was the most common patient-reported qualifying condition in 2022 (48.4%), followed by anxiety (14.2%) and posttraumatic stress disorder (13.0%). In 2022, the United States had 29 500 authorizing clinicians (7.7 per 1000 patients), 53.5% of whom were physicians. The most common specialties reported were internal or family medicine (63.4%), physical medicine and rehabilitation (9.1%), and anesthesia or pain (7.9%). LIMITATION: Missing data (for example, from California), descriptive analysis, lack of information on individual use patterns, and changing evidence base. CONCLUSION: Enrollment in medical cannabis programs increased overall but generally decreased in jurisdictions with nonmedical adult-use laws. Use for conditions or symptoms without a strong evidence basis continues to increase. Given these trends, more research is needed to better understand the risks and benefits of medical cannabis. PRIMARY FUNDING SOURCE: National Institute on Drug Abuse of the National Institutes of Health.

Food Insecurity and Ideal Cardiovascular Health Risk Factors Among US Adolescents.

BACKGROUND: Food insecurity, a social and economic condition of limited availability of healthy food, is a risk factor for adverse cardiovascular health outcomes among adults; few studies have been conducted in adolescents. This study explores the association between food insecurity and cardiovascular health risk factors among a nationally representative sample of US adolescents, adopting the American Heart Association's Life's Essential 8 metric. METHODS AND RESULTS: We analyzed data from 2534 adolescents aged 12 to 19 years from the 2013 to 2018 National Health and Nutrition Examination Surveys. In the sample, 24.8% of adolescents lived in food-insecure households. After multivariable adjustment, food insecurity was associated with a 3.23-unit lower total Life's Essential 8 score (95% CI, -6.32, -0.15) and lower scores on diet quality (ß=-5.39 [95% CI, -8.91, -1.87]) and nicotine exposure (ß=-4.85 [95% CI, -9.24, -0.45]). Regarding diet, food insecurity was associated with 5% lower Healthy Eating Index-2015 scores [95% CI, -7%, -2%], particularly lower intakes of whole grains and seafood/plant proteins and marginally higher intake of added sugar. Regarding nicotine exposure, food insecurity was associated with ever use of a tobacco product among m (odds ratio, 1.74 [95% CI, 1.20-2.53]). Compared with their food-secure counterparts, food-insecure male (odds ratio, 1.98 [95% CI, 1.07-3.65]) and female (odds ratio, 3.22 [95% CI, 1.60-6.45]) adolescents had higher odds of living with a current indoor smoker. CONCLUSIONS: In this nationally representative sample of adolescents, food insecurity was associated with multiple indicators of cardiovascular health risk. These findings underscore the need for public health interventions and policies to reduce food insecurity and improve cardioprotective behaviors during adolescence, with particular efforts targeting diet quality and nicotine exposure.

Organizational Breast Cancer Data Mart: A Solution for Assessing Outcomes of Imaging and Treatment.

PURPOSE: In the United States, a comprehensive national breast cancer registry (CR) does not exist. Thus, care and coverage decisions are based on data from population subsets, other countries, or models. We report a prototype real-world research data mart to assess mortality, morbidity, and costs for breast cancer diagnosis and treatment. METHODS: With institutional review board approval and Health Insurance Portability and Accountability Act (HIPPA) compliance, a multidisciplinary clinical and research data warehouse (RDW) expert group curated demographic, risk, imaging, pathology, treatment, and outcome data from the electronic health records (EHR), radiology (RIS), and CR for patients having breast imaging and/or a diagnosis of breast cancer in our institution from January 1, 2004, to December 31, 2020. Domains were defined by prebuilt views to extract data denormalized according to requirements from the existing RDW using an export, transform, load pattern. Data dictionaries were included. Structured query language was used for data cleaning. RESULTS: Five-hundred eighty-nine elements (EHR 311, RIS 211, and CR 67) were mapped to 27 domains; all, except one containing CR elements, had cancer and noncancer cohort views, resulting in a total of 53 views (average 12 elements/view; range, 4-67). EHR and RIS queries returned 497,218 patients with 2,967,364 imaging examinations and associated visit details. Cancer biology, treatment, and outcome details for 15,619 breast cancer cases were imported from the CR of our primary breast care facility for this prototype mart. CONCLUSION: Institutional real-world data marts enable comprehensive understanding of care outcomes within an organization. As clinical data sources become increasingly structured, such marts may be an important source for future interinstitution analysis and potentially an opportunity to create robust real-world results that could be used to support evidence-based national policy and care decisions for breast cancer.

Associations between sleep duration, sleep disturbance and cardiovascular disease biomarkers among adults in the United States.

BACKGROUND: Sleep problems are associated with abnormal cardiovascular biomarkers and an increased risk of cardiovascular diseases (CVDs). However, studies investigating associations between sleep problems and CVD biomarkers have reported conflicting findings. This study examined the associations between sleep problems and CVD biomarkers in the United States. METHODS: Data were from the National Health and Nutrition Examination Survey (NHANES) (2007-2018) and analyses were restricted to adults ≥ 20 years (n = 23,749). CVD biomarkers [C-reactive Protein (CRP), low-density lipoproteins, high-density lipoproteins (HDL), triglycerides, insulin, glycosylated hemoglobin (HbA1c), and fasting blood glucose] were categorized as abnormal or normal using standardized cut-off points. Sleep problems were assessed by sleep duration (short [≤ 6 h], long [≥ 9 h], and recommended [> 6 to < 9 h) and self-reported sleep disturbance (yes, no). Multivariable logistic regression models explored the associations between sleep duration, sleep disturbance, and CVD biomarkers adjusting for sociodemographic characteristics and lifestyle behaviors. RESULTS: The mean sleep duration was 7.1 ± 1.5 h and 25.1% of participants reported sleep disturbances. Compared to participants with the recommended sleep duration, those with short sleep duration had higher odds of abnormal levels of HDL (adjusted odds ratio [aOR] = 1.20, 95% confidence interval [CI] = 1.05-1.39), CRP (aOR = 3.08, 95% CI = 1.18-8.05), HbA1c (aOR = 1.25, 95% CI = 1.05-1.49), and insulin (aOR = 1.24, 95% CI = 1.03-1.51). Long sleep duration was associated with increased odds of abnormal CRP (aOR = 6.12, 95% CI = 2.19-17.15), HbA1c (aOR = 1.54, 95% CI = 1.09-2.17), and blood glucose levels (aOR = 1.45, 95% CI = 1.07-1.95). Sleep disturbance predicted abnormal triglyceride (aOR = 1.18, 95% CI = 1.01-1.37) and blood glucose levels (aOR = 1.24, 95% CI = 1.04-1.49). CONCLUSION: Short and long sleep durations were positively associated with abnormal CRP, HDL, HbA1c, blood glucose, and insulin levels, while sleep disturbance was associated with abnormal triglyceride and blood glucose levels. Since sleep is a modifiable factor, adopting healthy sleeping habits may create a balanced metabolism and reduce the risk of developing a CVD. Our study may provide insights into the relationship between sleep duration, sleep disturbance, and CVD risk.

Matching Against Men: 5 Years of Residency Match Data Show Disparities Still Exist.

OBJECTIVES: Despite progress toward equal representation by sex in medical practice, women remain underrepresented in many specialties. This study sought to examine the current state of gender equality among recently graduated doctors in multiple specialties. METHODS: Deidentified demographics, standardized examination scores, and Match results were gathered for 829 graduates. Participants were selected from an allopathic medical school between 2016 and 2020. Nineteen students (2.29%) were excluded from the study. Descriptive statistics were calculated, and χ2 tests for independence were used to compare proportions between reported sex and specialty and program Match results. One-way analysis of variance was then performed to test for differences in US Medical Licensing Examination Step 1 and Step 2 scores between sexes. P < 0.05 was considered statistically significant. RESULTS: Of the 829 individuals studied, 44.6% were women. A significantly smaller proportion of women matched into the most competitive specialties, despite no significant difference in US Medical Licensing Examination Step 1 scores between sexes. Furthermore, there was an overall significant trend of women matching into more competitive programs for any given specialty. CONCLUSIONS: In this study, we found that men matched into more highly competitive specialties, whereas women matched into more competitive residency program locations. Further research is needed to determine why women matched into specific specialties at lower rates than their male peers and seek to understand how sex affects the narrative of specialty choice.

Disparities in Mistreatment During Childbirth.

Importance: Lack of respectful maternity care may be a key factor associated with disparities in maternal health. However, mistreatment during childbirth has not been widely documented in the US. Objectives: To estimate the prevalence of mistreatment by health care professionals during childbirth among a representative multistate sample and to identify patient characteristics associated with mistreatment experiences. Design, Setting, and Participants: This cross-sectional study used representative survey data collected from respondents to the 2020 Pregnancy Risk and Monitoring System in 6 states and New York City who had a live birth in 2020 and participated in the Postpartum Assessment of Health Survey at 12 to 14 months' post partum. Data were collected from January 1, 2021, to March 31, 2022. Exposures: Demographic, social, clinical, and birth characteristics that have been associated with patients' health care experiences. Main Outcomes and Measures: Any mistreatment during childbirth, as measured by the Mistreatment by Care Providers in Childbirth scale, a validated measure of self-reported experiences of 8 types of mistreatment. Survey-weighted rates of any mistreatment and each mistreatment indicator were estimated, and survey-weighted logistic regression models estimated odds ratios (ORs) and 95% CIs. Results: The sample included 4458 postpartum individuals representative of 552 045 people who had live births in 2020 in 7 jurisdictions. The mean (SD) age was 29.9 (5.7) years, 2556 (54.4%) identified as White, and 2836 (58.8%) were commercially insured. More than 1 in 8 individuals (13.4% [95% CI, 11.8%-15.1%]) reported experiencing mistreatment during childbirth. The most common type of mistreatment was being "ignored, refused request for help, or failed to respond in a timely manner" (7.6%; 95% CI, 6.5%-8.9%). Factors associated with experiencing mistreatment included being lesbian, gay, bisexual, transgender, queer identifying (unadjusted OR [UOR], 2.3; 95% CI, 1.4-3.8), Medicaid insured (UOR, 1.4; 95% CI, 1.1-1.8), unmarried (UOR, 0.8; 95% CI, 0.6-1.0), or obese before pregnancy (UOR, 1.3; 95% CI, 1.0-1.7); having an unplanned cesarean birth (UOR, 1.6; 95% CI, 1.2-2.2), a history of substance use disorder (UOR, 2.6; 95% CI, 1.3-5.1), experienced intimate partner or family violence (UOR, 2.3; 95% CI, 1.3-4.2), mood disorder (UOR, 1.5; 95% CI, 1.1-2.2), or giving birth during the COVID-19 public health emergency (UOR, 1.5; 95% CI, 1.1-2.0). Associations of mistreatment with race and ethnicity, age, educational level, rural or urban geography, immigration status, and household income were ambiguous. Conclusions and Relevance: This cross-sectional study of individuals who had a live birth in 2020 in 6 states and New York City found that mistreatment during childbirth was common. There is a need for patient-centered, multifaceted interventions to address structural health system factors associated with negative childbirth experiences.

How COVID-19 is reshaping U.S. national security policy.

In the wake of the COVID-19 pandemic, the United States is actively reshaping parts of its national security enterprise. This article explores the underlying politics, with a specific interest in the context of biosecurity, biodefense, and bioterrorism strategy, programs, and response, as the United States responds to the most significant outbreak of an emerging infectious disease in over a century. How the implicit or tacit failure to recognize the political will and political decision-making connected to warfare and conflict for biological weapons programs in these trends is explored. Securitization of public health has been a focus of the literature over the past half century. This recent trend may represent something of an inverse: an attempt to treat national security interests as public health problems. A hypothesis is that the most significant underrecognized problem associated with COVID-19 is disinformation and the weakening of confidence in institutions, including governments, and how adversaries may exploit that blind spot.