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It is well known that the ecological study design suffers from a variety of biases that render the interpretation of its results difficult. Despite its limitations, however, the ecological study design is still widely used in a range of disciplines. The only solution to the ecological inference problem is to supplement the aggregate data with individual-level data and, to this end, Haneuse and Wakefield ( Biometrics 2007; 63:128-136) recently proposed a hybrid study design in which an ecological study is supplemented with a sample of case-control data. The latter provides the basis for the control of bias, while the former may provide efficiency gains. Building on that work, we illustrate the use of the hybrid design in the context of a geographical correlation study of lung cancer mortality from the state of Ohio. Focusing on epidemiological applications, we initially provide an overview of the use of ecological studies in scientific research, highlighting the breadth of current application as well as advantages and drawbacks of the design. We consider the interplay between the two sources of information in the design: ecological and case-control, and then provide details on a Bayesian spatial random effects model in the setting of the hybrid design. Issues of specification are addressed, as well as sensitivity to modeling assumptions. Further, an interesting feature of these data is that they provide an example of how the proposed design may be used to resolve the ecological fallacy. Copyright © 2007 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Objective: To determine what factors influence the breast-feeding behavior of first-time mothers in the Arizona WIC program. Methods: One hundred eighty-nine women provided data regarding infant-feeding method (during 6 months postpartum) and sources of feeding influence. Results: Family, friends, and breast-feeding promotion incentives were important in both the incidence and duration of breast-feeding. Postpartum assistance from the WIC staff influenced the mother to continue to breast-feed. Receipt of formula gift packs had a negative effect on duration. Conclusions: Breast-feeding may be encouraged through a variety of strategies. The distribution of formula gift packs, however, undermines efforts to increase breast-feeding. [ABSTRACT FROM AUTHOR]

Abstract Background Chronic back pain is a major public health problem and the primary reason patients seek massage treatment. Despite the growing use of massage for chronic low back pain, there have been few studies of its effectiveness. This trial will be the first evaluation of the effectiveness of relaxation massage for chronic back pain and the first large trial of a focused structural form of massage for this condition. Methods and Design A total of 399 participants (133 in each of three arms) between the ages of 20 and 65 years of age who have low back pain lasting at least 3 months will be recruited from an integrated health care delivery system. They will be randomized to one of two types of massage ("focused structural massage" or "relaxation massage"), or continued usual medical care. Ten massage treatments will be provided over 10 weeks. The primary outcomes, standard measures of dysfunction and bothersomeness of low back pain, will be assessed at baseline and after 10, 26, and 52 weeks by telephone interviewers masked to treatment assignment. General health status, satisfaction with back care, days of back-related disability, perceived stress, and use and costs of healthcare services for back pain will also be measured. Outcomes across assigned treatment groups will be compared using generalized estimating equations, accounting for participant correlation and adjusted for baseline value, age, and sex. For both primary outcome measures, this trial will have at least 85% power to detect the presence of a minimal clinically significant difference among the three treatment groups and 91% power for pairwise comparisons. Secondary analyses will compare the proportions of participants in each group that improve by a clinically meaningful amount. Conclusion Results of this trial will help clarify the value of two types of massage therapy for chronic low back pain. Trial registration Clinical Trials.gov NCT 00371384.

Missing data arise in most applied settings and are ubiquitous in electronic health records (EHR). When data are missing not at random (MNAR) with respect to measured covariates, sensitivity analyses are often considered. These solutions, however, are often unsatisfying in that they are not guaranteed to yield actionable conclusions. Motivated by an EHR-based study of long-term outcomes following bariatric surgery, we consider the use of double sampling as a means to mitigate MNAR outcome data when the statistical goals are estimation and inference regarding causal effects. We describe assumptions that are sufficient for the identification of the joint distribution of confounders, treatment, and outcome under this design. Additionally, we derive efficient and robust estimators of the average causal treatment effect under a nonparametric model and under a model assuming outcomes were, in fact, initially missing at random (MAR). We compare these in simulations to an approach that adaptively estimates based on evidence of violation of the MAR assumption. Finally, we also show that the proposed double sampling design can be extended to handle arbitrary coarsening mechanisms, and derive nonparametric efficient estimators of any smooth full data functional., (© 2024 The Author(s). Statistics in Medicine published by John Wiley & Sons Ltd.)

Introduction: Cancer risk factors are more common among sexual minority populations (e.g., lesbian, bisexual) than their heterosexual peers, yet little is known about cancer incidence across sexual orientation groups., Methods: The 1989-2017 data from the Nurses' Health Study II, a longitudinal cohort of female nurses across the United States, were analyzed (N = 101,543). Sexual orientation-related cancer disparities were quantified by comparing any cancer incidence among four sexual minority groups based on self-disclosure-(1) heterosexual with past same-sex attractions/partners/identity; (2) mostly heterosexual; (3) bisexual; and (4) lesbian women-to completely heterosexual women using age-adjusted incidence rate ratios (aIRR) calculated by the Mantel-Haenszel method. Additionally, subanalyses at 21 cancer disease sites (e.g., breast, colon/rectum) were conducted., Results: For all-cancer analyses, there were no statistically significant differences in cancer incidence at the 5% type I error cutoff among sexual minority groups when compared to completely heterosexual women; the aIRR was 1.17 (95% CI,0.99-1.38) among lesbian women and 0.80 (0.58-1.10) among bisexual women. For the site-specific analyses, incidences at multiple sites were significantly higher among lesbian women compared to completely heterosexual women: thyroid cancer (aIRR, 1.87 [1.03-3.41]), basal cell carcinoma (aIRR, 1.85 [1.09-3.14]), and non-Hodgkin lymphoma (aIRR, 2.13 [1.10-4.12])., Conclusion: Lesbian women may be disproportionately burdened by cancer relative to their heterosexual peers. Sexual minority populations must be explicitly included in cancer prevention efforts. Comprehensive and standardized sexual orientation data must be systematically collected so nuanced sexual orientation-related cancer disparities can be accurately assessed for both common and rare cancers., (© 2024 American Cancer Society.)

Objective: To evaluate whether disparities exist in adverse neonatal outcomes among the offspring of lesbian, gay, bisexual, and other sexually minoritized (LGB+) birthing people., Methods: We used longitudinal data from 1995 to 2017 from the Nurses' Health Study II, a cohort of nurses across the United States. We restricted analyses to those who reported live births (N=70,642) in the 2001 or 2009 lifetime pregnancy questionnaires. Participants were asked about sexual orientation identity (current and past) and same-sex attractions and partners. We examined preterm birth, low birth weight, and macrosomia among 1) completely heterosexual; 2) heterosexual with past same-sex attractions, partners, or identity; 3) mostly heterosexual; 4) bisexual; and 5) lesbian or gay participants. We used log-binomial models to estimate risk ratios for each outcome and weighted generalized estimating equations to account for multiple pregnancies per person over time and informative cluster sizes., Results: Compared with completely heterosexual participants, offspring born to parents in all LGB+ groups combined (groups 2-5) had higher estimated risks of preterm birth (risk ratio 1.22, 95% CI, 1.15-1.30) and low birth weight (1.27, 95% CI, 1.15-1.40) but not macrosomia (0.98, 95% CI, 0.94-1.02). In the subgroup analysis, risk ratios were statistically significant for heterosexual participants with past same-sex attractions, partners, or identity (preterm birth 1.25, 95% CI, 1.13-1.37; low birth weight 1.32, 95% CI, 1.18-1.47). Risk ratios were elevated but not statistically significant for lesbian or gay participants (preterm birth 1.37, 95% CI, 0.98-1.93; low birth weight 1.46, 95% CI, 0.96-2.21) and bisexual participants (preterm birth 1.29, 95% CI, 0.85-1.93; low birth weight 1.24, 95% CI, 0.74-2.08)., Conclusion: The offspring of LGB+ birthing people experience adverse neonatal outcomes, specifically preterm birth and low birth weight. These findings highlight the need to better understand health risks, social inequities, and health care experiences that drive these adverse outcomes., Competing Interests: Financial Disclosure Payal Chakraborty was a research consultant for the Ohio Policy Evaluation Network (OPEN) at The Ohio State University and for the STRIPED research project at Boston Children's Hospital. She received honorariums from the Society of Family Planning for being a grant reviewer. She received travel support from the Take Root 2023 conference. Juno Obedin-Maliver reports receiving payments from Ibis Reproductive Health, Hims, Inc, Folx Inc, and Upstream Inc. The other authors did not report any potential conflicts of interest., (Copyright © 2024 by the American College of Obstetricians and Gynecologists. Published by Wolters Kluwer Health, Inc. All rights reserved.)

Objective: Assess whether display of a patient photograph in the electronic health record (EHR) alongside head and neck CT or MRI radiology examinations is associated with recommendations for additional imaging (RAI) and whether self-reported race modifies that association., Methods: This multi-institution health care system retrospective observational study from June 1, 2021 to May 31, 2022 included all patients with a head/neck CT or MRI report. We investigated association of photograph with RAIs using mixed-effects models adjusting for age, sex, complexity score, race, and area deprivation index while conditioning on patient and radiologist. Race was subsequently included as an interaction term. Multiple imputation was used as sensitivity analysis to address missing race data., Results: In all, 60,543 reports were included from 48,143 patients (55.6% female; median age 58 years, interquartile range 40-70). The EHR included a photograph at the time 18.2% (11,048 of 60,543) of reports were signed. RAIs were included in 7.5% (4,522 of 60,543) of reports. Reports signed when a photograph was displayed had lower estimated odds of containing RAIs (odds ratio: 0.85, 95% confidence interval: 0.77-0.93, P < .001), consistent in sensitivity analysis, with no clear interaction between race and photograph (odds ratio: 0.99, 95% confidence interval: 0.69-1.46, P = .97)., Discussion: Patients with a photograph in the EHR had a lower probability of receiving RAIs and this difference did not seem to be the result of implicit racial bias but may be due to personalization of the encounter. This effect may influence radiology reporting for millions of patients per year. Further research is needed to determine whether the association has a positive or negative impact on care quality and outcomes., (Copyright © 2024 American College of Radiology. Published by Elsevier Inc. All rights reserved.)

Background: Benzodiazepines are commonly prescribed for post-acute ischemic stroke for anxiety, insomnia, and agitation. While guidelines discourage use in those aged ≥65 years, little is known about prescription patterns at the national level., Methods: We analyzed a 20% sample of US Medicare claims from April 1, 2013, to September 30, 2021. We selected beneficiaries aged ≥65 years discharged alive following an acute ischemic stroke who had traditional Medicare coverage and 6 months' prior enrollment in Parts A (hospital insurance), B (Medical insurance), and D (drug coverage). We excluded those with prior benzodiazepine prescriptions, self-discharges, or discharge to skilled nursing facilities. We examined demographics, comorbidities, first prescription days' supply, cumulative incidences of benzodiazepine first prescription fills within 90 days after discharge, and geographic and yearly trends., Results: We included 126 050 beneficiaries with a mean age of 78 years (SD, 8); 54% were female and 82% were White. Within 90 days, 6127 (4.9%) initiated a benzodiazepine. Among new prescriptions, lorazepam (40%) and alprazolam (33%) were the most prescribed. Most (76%) of first fills had a day's supply over 7 days and 55% between 15 and 30 days. Female initiation rates were higher (5.5% [95% CI, 5.3-5.7]) than male initiation rates (3.8% [95% CI, 3.6%-3.9%]). Rates were highest in the southeast (5.1% [95% CI, 4.8%-5.3%]) and lowest in the midwest (4.0% [95% CI, 3.8%-4.3%]), with a modest nationwide initiation decline from 2013 to 2021 (cumulative incidence difference, 1.6%)., Conclusions: Despite a gradual decline in benzodiazepine initiation from 2013 to 2021, we noted excessive supplies in prescriptions post-acute ischemic stroke discharge, underscoring the need for improved policies., Competing Interests: Dr Hsu receives support from the National Institutes of Health, the Agency for Healthcare Research and Quality, Brandies University, Altmed, Cambridge Health Alliance, Columbia University, Invitrx, and the University of South Carolina and reports no conflict of interest. Dr Blacker receives support from the National Institute of Neurological Disorders and Stroke and the National Institute on Aging and reports no conflict of interest. Dr Newhouse is the director of the National Committee for Quality Assurance and reports no conflict of interest. Dr Moura receives support from the Epilepsy Foundation of America and reports no conflict of interest. The other authors report no conflicts.

Background: Chronic disease microsimulation models often simulate disease incidence as a function of risk factors that evolve over time (e.g., blood pressure increasing with age) in order to facilitate decision analyses of different disease screening and prevention strategies. Existing models typically rely on incidence rates estimated with standard survival analysis techniques (e.g., proportional hazards from baseline data) that are not designed to be continually updated each model cycle. We introduce the use of joint longitudinal and time-to-event to parameterize microsimulations to avoid potential issues from using these existing methods. These joint models include random effects regressions to estimate the risk factor trajectories and a survival model to predict disease risk based on those estimated trajectories. In a case study on cardiovascular disease (CVD), we compare the validity of microsimulation models parameterized with this joint model approach to those parameterized with the standard approaches., Methods: A CVD microsimulation model was constructed that modeled the trajectory of seven CVD risk factors/predictors as a function of age (smoking, diabetes, systolic blood pressure, antihypertensive medication use, total cholesterol, HDL, and statin use) and predicted yearly CVD incidence as a function of these predictors, plus age, sex, and race. We parameterized the model using data from the Atherosclerosis Risk in Communities study (ARIC). The risk of CVD in the microsimulation was parameterized with three approaches: (1) joint longitudinal and time-to-event model, (2) proportional hazards model estimated using baseline data, and (3) proportional hazards model estimated using time-varying data. We accounted for non-CVD mortality across all the parameterization approaches. We simulated risk factor trajectories and CVD incidence from age 70y to 85y for an external test set comprised of individuals from the Multi-Ethnic Study of Atherosclerosis (MESA). We compared the simulated to observed incidence using both average survival curves and the E50 and E90 calibration metrics (the median and 90th percentile absolute difference between observed and predicted incidence) to measure the validity of each parameterization approach., Results: The average CVD survival curve estimated by the microsimulation model parameterized with the joint model approach matched the observed curve from the test set relatively closely. The other parameterization methods generally performed worse, especially the proportional hazards model estimated using baseline data. Similar results were observed for the calibration metrics, with the joint model performing particularly well on the E90 metric compared to the other models., Conclusions: Using a joint longitudinal and time-to-event model to parameterize a CVD simulation model produced incidence predictions that more accurately reflected observed data than a model parameterized with standard approaches. This parameterization approach could lead to more reliable microsimulation models, especially for models that evaluate policies which depend on tracking dynamic risk factors over time. Beyond this single case study, more work is needed to identify the specific circumstances where the joint model approach will outperform existing methods.

Multimorbidity is the co-occurrence of multiple chronic health problems, associated with aging, frailty, and poor functioning. Children born preterm experience more multimorbid conditions in early life compared to term-born peers. Though neonatal multimorbidity is linked to poor health-related quality of life, functional outcomes, and peer group participation, gaps in our theoretical understanding and conceptualization remain. Drawing from life course epidemiology and the Developmental Origins of Heath and Disease models, we offer a framework that neonatal multimorbidity reflects maturational vulnerability posed by preterm birth. The impact of such vulnerability on health and development may be further amplified by adverse exposures and interventions within the environment of the neonatal intensive care unit. This can be exacerbated by disadvantaged home or community contexts after discharge. Uncovering the physiologic and social antecedents of multiple morbid conditions in the neonatal period and their biological underpinnings will allow for more accurate risk-prediction, counseling, and care planning for preterm infants and their families. According to this framework, the maturational vulnerability to multimorbidity imparted by preterm birth and its negative effects on health and development are not predetermined or static. Elucidating pathways of early biologic and physical aging will lead to improvements in care and outcomes. IMPACT: Multimorbidity is associated with significant frailty and dysfunction among older adults and is indicative of early physiologic aging. Preterm infants commonly experience multimorbidities in the newborn period, an underrecognized threat to long-term health and development. We offer a novel framework incorporating multimorbidity, early cellular aging, and life course health development to innovate risk-prediction, care-planning, and therapeutics., (© 2024. The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.)

Preeclampsia is a pregnancy-associated condition posing risks of both fetal and maternal mortality and morbidity that can only resolve following delivery and removal of the placenta. Because in its typical form preeclampsia can arise before delivery, but not after, these two events exemplify the time-to-event setting of "semi-competing risks" in which a non-terminal event of interest is subject to the occurrence of a terminal event of interest. The semi-competing risks framework presents a valuable opportunity to simultaneously address two clinically meaningful risk modeling tasks: (i) characterizing risk of developing preeclampsia, and (ii) characterizing time to delivery after onset of preeclampsia. However, some people with preeclampsia deliver immediately upon diagnosis, while others are admitted and monitored for an extended period before giving birth, resulting in two distinct trajectories following the non-terminal event, which we call "clinically immediate" and "non-immediate" terminal events. Though such phenomena arise in many clinical contexts, to-date there have not been methods developed to acknowledge the complex dependencies between such outcomes, nor leverage these phenomena to gain new insight into individualized risk. We address this gap by proposing a novel augmented frailty-based illness-death model with a binary submodel to distinguish risk of immediate terminal event following the non-terminal event. The model admits direct dependence of the terminal event on the non-terminal event through flexible regression specification, as well as indirect dependence via a shared frailty term linking each submodel. We develop an efficient Bayesian sampler for estimation and corresponding model fit metrics, and derive formulae for dynamic risk prediction. In an extended example using pregnancy outcome data from an electronic health record, we demonstrate the proposed model's direct applicability to address a broad range of clinical questions., (© 2024 John Wiley & Sons Ltd.)

Background: Sexual minority (SM) individuals (e.g., those with same-sex attractions/partners or who identify as lesbian/gay/bisexual) experience a host of physical and mental health disparities. However, little is known about sexual orientation-related disparities in gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP; gestational hypertension [gHTN] and preeclampsia)., Objective: To estimate disparities in GDM, gHTN and preeclampsia by sexual orientation., Methods: We used data from the Nurses' Health Study II-a cohort of nurses across the US enrolled in 1989 at 25-42 years of age-restricted to those with pregnancies ≥20 weeks gestation and non-missing sexual orientation data (63,518 participants; 146,079 pregnancies). Our primary outcomes were GDM, gHTN and preeclampsia, which participants reported for each of their pregnancies. Participants also reported their sexual orientation identity and same-sex attractions/partners. We compared the risk of each outcome in pregnancies among heterosexual participants with no same-sex experience (reference) to those among SM participants overall and within subgroups: (1) heterosexual with same-sex experience, (2) mostly heterosexual, (3) bisexual and (4) lesbian/gay participants. We used modified Poisson models to estimate risk ratios (RR) and 95% confidence intervals (CI), fit via weighted generalised estimating equations, to account for multiple pregnancies per person over time and informative cluster sizes., Results: The overall prevalence of each outcome was ≤5%. Mostly heterosexual participants had a 31% higher risk of gHTN (RR 1.31, 95% CI 1.03, 1.66), and heterosexual participants with same-sex experience had a 31% higher risk of GDM (RR 1.31, 95% CI 1.13, 1.50), compared to heterosexual participants with no same-sex experience. The magnitudes of the risk ratios were high among bisexual participants for gHTN and preeclampsia and among lesbian/gay participants for gHTN., Conclusions: Some SM groups may be disparately burdened by GDM and HDP. Elucidating modifiable mechanisms (e.g., structural barriers, discrimination) for reducing adverse pregnancy outcomes among SM populations is critical., (© 2024 John Wiley & Sons Ltd.)

Rationale: Despite guideline warnings, older acute ischemic stroke (AIS) survivors still receive benzodiazepines (BZD) for agitation, insomnia, and anxiety despite being linked to severe adverse effects, such as excessive somnolence and respiratory depression. Due to polypharmacy, drug metabolism, comorbidities, and complications during the sub-acute post-stroke period, older adults are more susceptible to these adverse effects. We examined the impact of receiving BZDs within 30 days post-discharge on survival among older Medicare beneficiaries after an AIS., Methods: Using the Medicare Provider Analysis and Review (MedPAR) dataset, Traditional fee-for-service Medicare (TM) claims, and Part D Prescription Drug Event data, we analyzed a random 20% sample of TM beneficiaries aged 66 years or older who were hospitalized for AIS between July 1, 2016, and December 31, 2019. Eligible beneficiaries were enrolled in Traditional Medicare Parts A, B, and D for at least 12 months before admission. We excluded beneficiaries who were prescribed a BZD within 90 days before hospitalization, passed away during their hospital stay, left against medical advice, or were discharged to institutional post-acute care. Our primary exposure was BZD initiation within 30 days post-discharge, and the primary outcome was 90-day mortality risk differences (RD) from discharge. We followed a trial emulation process involving cloning, weighting, and censoring, plus we used inverse-probability-of-censoring weighting to address confounding., Results: In a sample of 47,421 beneficiaries, 826 (1.74%) initiated BZD within 30 days after discharge from stroke admission or before readmission, whichever occurred first, and 6,392 (13.48%) died within 90 days. Our study sample had a median age of 79, with an inter-quartile range (IQR) of 12, 55.3% female, 82.9% White, 10.1% Black, 1.7% Hispanic, 2.2% Asian, 0.4% American Native, 1.5% Other and 1.1% Unknown. After standardization based on age, sex, race/ethnicity, length of stay in inpatient, and baseline dementia, the estimated 90-day mortality risk was 159 events per 1,000 (95% CI: 155, 166) for the BZD initiation strategy and 133 events per 1,000 (95% CI: 132, 135) for the non-initiation strategy, with an RD of 26 events per 1,000 (95% CI: 22, 33). Subgroup analyses showed RDs of 0 events per 1,000 (95% CI: -4, 11) for patients aged 66-70, 3 events per 1,000 (95% CI: -1, 13) for patients aged 71-75, 10 events per 1,000 (95% CI: 3, 23) for patients aged 76-80, 27 events per 1,000 (95% CI: 21, 46) for patients aged 81-85, and 84 events per 1,000 (95% CI: 73, 106) for patients aged 86 years or older. RDs were 34 events per 1,000 (95% CI: 26, 48) and 20 events per 1,000 (95% CI: 11, 33) for males and females, respectively. RDs were 87 events per 1,000 (95% CI: 63, 112) for patients with baseline dementia and 18 events per 1,000 (95% CI: 13, 21) for patients without baseline dementia., Conclusion: Initiating BZDs within 30 days post-AIS discharge significantly increased the 90-day mortality risk among Medicare beneficiaries aged 76 and older and for those with baseline dementia. These findings underscore the heightened vulnerability of older adults, especially those with cognitive impairment, to the adverse effects of BZDs., Competing Interests: DISCLOSURES M.A.D., J.D.B., M.P., L.H.S., S.H., and M.B.W. have no conflict of interest to disclose. J.H. receives support from the National Institutes of Health, Agency for Healthcare Research and Quality, Brandeis University, Altmed, Cambridge Health Alliance, Columbia University, Invitrx, and the University of South Carolina and reports no conflict of interest. D.B. receives support from the National Institutes of Health and reports no conflict of interest. J.P.N. is the National Committee for Quality Assurance director and reports no conflict of interest. L.M.V.R.M. receives support from NIH/NIA grants and the Epilepsy Foundation of America and reports no conflict of interest.

Introduction: Despite the progress in reducing child mortality, the rate remains high, particularly in sub-Saharan African countries. Limited data exist on child survival and other birth outcomes by sex. This study compared survival rates and birth outcomes by sex among neonates and children under 2 in Ethiopia., Methods: Women who gave birth after 28 weeks of gestation and their newborns were included in the analysis. Survival probabilities were estimated for males and females in the neonatal period as well as the 2-year period following birth using Kaplan-Meier curves. HRs and 95% CIs were compared between males and females under 2. Descriptive statistics and χ 2 tests were used to determine the sex-disaggregated variation in the birth outcomes of preterm birth, low birth weight (LBW), stillbirth, small for gestational age (SGA) and large for gestational age (LGA)., Results: The study included a total of 3904 women and child pairs. The neonatal mortality rate for males (3.4%, 95% CI 2.6% to 4.2%) was higher compared with females (1.7%, 95% CI 1.1% to 2.3%). The hazard of death during the first 28 days of life was approximately two times higher for males compared with females (HR 1.99, 95% CI 1.30 to 3.06) but was not significantly different after this period. While there was a non-significant difference between males and females in the proportion of preterm, LBW and LGA births, we found a significantly higher proportion of stillbirth (2.7% vs 1.3%, p=0.003) and SGA (20.5% vs 15.6%, p<0.001) for males compared with females., Conclusions: This study identified a significant sex difference in mortality and birth outcomes. We recommend focusing future research on the mechanisms of these sex differences in order to better design intervention programmes to reduce disparities and improve outcomes for neonates., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)

An important task in health research is to characterize time-to-event outcomes such as disease onset or mortality in terms of a potentially high-dimensional set of risk factors. For example, prospective cohort studies of Alzheimer's disease (AD) typically enroll older adults for observation over several decades to assess the long-term impact of genetic and other factors on cognitive decline and mortality. The accelerated failure time model is particularly well-suited to such studies, structuring covariate effects as "horizontal" changes to the survival quantiles that conceptually reflect shifts in the outcome distribution due to lifelong exposures. However, this modeling task is complicated by the enrollment of adults at differing ages, and intermittent follow-up visits leading to interval-censored outcome information. Moreover, genetic and clinical risk factors are not only high-dimensional, but characterized by underlying grouping structures, such as by function or gene location. Such grouped high-dimensional covariates require shrinkage methods that directly acknowledge this structure to facilitate variable selection and estimation. In this paper, we address these considerations directly by proposing a Bayesian accelerated failure time model with a group-structured lasso penalty, designed for left-truncated and interval-censored time-to-event data. We develop an R package with a Markov chain Monte Carlo sampler for estimation. We present a simulation study examining the performance of this method relative to an ordinary lasso penalty and apply the proposed method to identify groups of predictive genetic and clinical risk factors for AD in the Religious Orders Study and Memory and Aging Project prospective cohort studies of AD and dementia., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Health facility delivery is one of the critical indicators to monitor progress towards the provision of skilled delivery care and reduction in perinatal mortality. In Ethiopia, utilization of health facilities for skilled delivery care has been increasing but varies greatly by region and among specific socio-demography groups. We aimed to measure the prevalence and determinants of health facility delivery in the Amhara region in Ethiopia. From December 2018 to November 2020, we conducted a longitudinal study from a cohort of 2801 pregnant women and described the location of delivery and the association with determinants. We interviewed a subset of women who delivered in the community and analyzed responses using the three delays model to understand reasons for not using health facility services. A multivariable poisson regression model with robust error variance was used to estimate the presence and magnitude of association between location of delivery and the determinants. Of the 2,482 pregnant women followed through to birth, 73.6% (n = 1,826) gave birth in health facilities, 24.3% (n = 604) gave birth at home and 2.1% (n = 52) delivered on the way to a health facility. Determinants associated with increased likelihood of delivery at a health facility included formal maternal education, shorter travel times to health facilities, primiparity, higher wealth index and having attended at least one ANC visit. Most common reasons mothers gave for not delivering in a health facility were delays in individual/family decision to seek care. The proportion of deliveries occurring in health facilities is increasing but falls below targets. Interventions that focus on the identified social-demographic determinants and delays are warranted., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Hunegnaw et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Fall-related injuries (FRIs) are a major cause of hospitalizations among older patients, but identifying them in unstructured clinical notes poses challenges for large-scale research. In this study, we developed and evaluated Natural Language Processing (NLP) models to address this issue. We utilized all available clinical notes from the Mass General Brigham for 2,100 older adults, identifying 154,949 paragraphs of interest through automatic scanning for FRI-related keywords. Two clinical experts directly labeled 5,000 paragraphs to generate benchmark-standard labels, while 3,689 validated patterns were annotated, indirectly labeling 93,157 paragraphs as validated-standard labels. Five NLP models, including vanilla BERT, RoBERTa, Clinical-BERT, Distil-BERT, and SVM, were trained using 2,000 benchmark paragraphs and all validated paragraphs. BERT-based models were trained in three stages: Masked Language Modeling, General Boolean Question Answering (QA), and QA for FRI. For validation, 500 benchmark paragraphs were used, and the remaining 2,500 for testing. Performance metrics (precision, recall, F1 scores, Area Under ROC [AUROC] or Precision-Recall [AUPR] curves) were employed by comparison, with RoBERTa showing the best performance. Precision was 0.90 [0.88-0.91], recall [0.90-0.93], F1 score 0.90 [0.89-0.92], AUROC and AUPR curves of 0.96 [0.95-0.97]. These NLP models accurately identify FRIs from unstructured clinical notes, potentially enhancing clinical notes-based research efficiency., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Purpose: The aims of this study were to measure the actionability of recommendations for additional imaging (RAIs) in head and neck CT and MRI, for which there is a near complete absence of best practices or guidelines; to identify the most common recommendations; and to assess radiologist factors associated with actionability., Methods: All head and neck CT and MRI radiology reports across a multi-institution, multipractice health care system from June 1, 2021, to May 31, 2022, were retrospectively reviewed. The actionability of RAIs was scored using a validated taxonomy. The most common RAIs were identified. Actionability association with radiologist factors (gender, years out of training, fellowship training, practice type) and with trainees was measured using a mixed-effects model., Results: Two hundred nine radiologists generated 60,543 reports, of which 7.2% (n = 4,382) contained RAIs. Only 3.9% of RAIs (170 of 4,382) were actionable. More than 60% of RAIs were for eight examinations: thyroid ultrasound (14.1%), neck CT (12.6%), brain MRI (6.9%), chest CT (6.5%), neck CT angiography (5.5%), temporal bone CT (5.3%), temporal bone MRI (5.2%), and pituitary MRI (4.6%). Radiologists >23 years out of training (odds ratio, 0.39; 95% confidence interval, 0.15-1.02; P = .05) and community radiologists (odds ratio, 0.53; 95% confidence interval, 0.22-1.31; P = .17) had substantially lower estimated odds of making actionable RAIs than radiologists <7 years out of training and academic radiologists, respectively., Conclusions: The studied radiologists rarely made actionable RAIs, which makes it difficult to identify and track clinically necessary RAIs to timely performance. Multifaceted quality improvement initiatives including peer comparisons, clinical decision support at the time of reporting, and the development of evidence-based best practices, may help improve tracking and timely performance of clinically necessary RAIs., (Copyright © 2024 American College of Radiology. Published by Elsevier Inc. All rights reserved.)

Study Question: Does medically assisted reproduction (MAR) use among cisgender women differ among those with same-sex partners or lesbian/bisexual identities compared to peers with different-sex partners or heterosexual identities?, Summary Answer: Women with same-sex partners or lesbian/bisexual identities are more likely to utilize any MAR but are no more likely to use ART (i.e. IVF, reciprocal IVF, embryo transfer, unspecified ART, ICSI, and gamete or zygote intrafallopian transfer) compared to non-ART MAR (i.e. IUI, ovulation induction, and intravaginal or intracervical insemination) than their different-sex partnered and completely heterosexual peers., What Is Known Already: Sexual minority women (SMW) form families in myriad ways, including through fostering, adoption, genetic, and/or biological routes. Emerging evidence suggests this population increasingly wants to form genetic and/or biological families, yet little is known about their family formation processes and conception needs., Study Design, Size, Duration: The Growing Up Today Study is a US-based prospective cohort (n = 27 805). Participants were 9-17 years of age at enrollment (1996 and 2004). Biennial follow-up is ongoing, with data collected through 2021., Participants/materials, Setting, Methods: Cisgender women who met the following criteria were included in this sample: endorsed ever being pregnant; attempted a pregnancy in 2019 or 2021; and endorsed either a male- or female-sex partner OR responded to questions regarding their sexual identity during their conception window. The main outcome was any MAR use including ART (i.e. procedures involving micromanipulation of gametes) and non-ART MAR (i.e. nonmanipulation of gametes). Secondary outcomes included specific MAR procedures, time to conception, and trends across time. We assessed differences in any MAR use using weighted modified Poisson generalized estimating equations., Main Results and the Role of Chance: Among 3519 participants, there were 6935 pregnancies/pregnancy attempts and 19.4% involved MAR. A total of 47 pregnancies or pregnancy attempts were among the same-sex partnered participants, while 91 were among bisexual participants and 37 among lesbian participants. Participants with same-sex, compared to different-sex partners were almost five times as likely to use MAR (risk ratio [95% CI]: 4.78 [4.06, 5.61]). Compared to completely heterosexual participants, there was greater MAR use among lesbian (4.00 [3.10, 5.16]) and bisexual (2.22 [1.60, 3.07]) participants compared to no MAR use; mostly heterosexual participants were also more likely to use ART (1.42 [1.11, 1.82]) compared to non-ART MAR. Among first pregnancies conceived using MAR, conception pathways differed by partnership and sexual identity groups; differences were largest for IUI, intravaginal insemination, and timed intercourse with ovulation induction. From 2002 to 2021, MAR use increased proportionally to total pregnancies/pregnancy attempts; ART use was increasingly common in later years among same-sex partnered and lesbian participants., Limitations, Reasons for Caution: Our results are limited by the small number of SMW, the homogenous sample of mostly White, educated participants, the potential misclassification of MAR use when creating conception pathways unique to SMW, and the questionnaire's skip logic, which excluded certain participants from receiving MAR questions., Wider Implications of the Findings: Previous studies on SMW family formation have primarily focused on clinical outcomes from ART procedures and perinatal outcomes by conception method, and have been almost exclusively limited to European, clinical samples that relied on partnership data only. Despite the small sample of SMW within a nonrepresentative study, this is the first study to our knowledge to use a nonclinical sample of cisgender women from across the USA to elucidate family formation pathways by partnership as well as sexual identity, including pathways that may be unique to SMW. This was made possible by our innovative approach to MAR categorization within a large, prospective dataset that collected detailed sexual orientation data. Specifically, lesbian, bisexual, and same-sex partnered participants used both ART and non-ART MAR at similar frequencies compared to heterosexual and different-sex partnered participants. This may signal differential access to conception pathways owing to structural barriers, emerging conception trends as family formation among SMW has increased, and a need for conception support beyond specialized providers and fertility clinics., Study Funding/competing Interest(s): The research reported in this publication was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health (NIH), under award number R01MD015256. Additionally, KRSS is supported by NCI grant T32CA009001, AKH by the NCI T32CA057711, PC by the NHLBI T32HL098048, BM by the Stanford Maternal Child Health Research Institute Clinical Trainee Support Grant and the Diversity Fellowship from the American Society for Reproductive Medicine Research Institute, BGE by NICHD R01HD091405, and SM by the Thomas O. Pyle Fellowship through the Harvard Pilgrim Health Care Foundation and Harvard University, NHLBI T32HL098048, NIMH R01MH112384, and the William T. Grant Foundation grant number 187958. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The first author recently had a leadership role in the not-for-profit program, The Lesbian Health Fund, a research fund focused on improving the health and wellbeing of LGBTQ+ women and girls. The fund did not have any role in this study and the author's relationship with the fund did not bias the findings of this manuscript., Trial Registration Number: N/A., (© The Author(s) 2024. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Sexually minoritized women (SMW) may be at an increased risk of adverse perinatal mental health, though prior research is limited. We examined sexual orientation-related differences in perinatal mental health (i.e., stress and depression), and antidepressant utilization among those at different severities of clinically significant perinatal depressive symptoms. Nurses' Health Study 3 participants with prospectively assessed pregnancies (N = 6,364) received pregnancy and postpartum questionnaires. Using weighted log-binomial generalized estimating equations, we examined differences in stress (Perceived Stress Scale 4 [PSS-4]), depression (the Edinburgh Postnatal Depression Scale [EDPS] at four cut-off scores [≥7, ≥9, ≥11, ≥13]), and patterns of antidepressant utilization across five groups: completely heterosexual with no same-sex sexual partners (reference group; n = 5,178); heterosexual with same-sex sexual partners (n = 245); mostly heterosexual (n = 770); bisexual (n = 106); and lesbian (n = 47). Compared to the completely heterosexual reference group, SMW reported increased stress during pregnancy (adjusted risk ratio [ARR]: 1.14, 95% confidence interval [1.02-1.28]). SMW reported an elevated risk of pregnancy depression at every EDPS score cutoff, with the magnitude of the disparity increasing as the score increased (ARRs: 1.09 [1.00-1.20]; 1.20 [1.05-1.36]; 1.37 [1.16-1.63]; 1.49 [1.18-1.89] for EDPS scores ≥7, ≥9, ≥11, ≥13, respectively). Disparities were highest in magnitude among the mostly heterosexual and bisexual subgroups. Utilization of postpartum antidepressants increased among the reference group with increasing symptom severity but was only associated at the highest score (≥13) among SMW subgroups. SMW have increased risks of pregnancy stress and depression and are more likely to use perinatal antidepressants; mostly heterosexual and bisexual individuals had the highest risk of antidepressant use. Postpartum symptom severity closely corresponded to antidepressant use among completely heterosexual, but not SMW-suggesting disparities in mental health treatment. Further research priorities include determining the causes of these disparities and appropriately tailored solutions.

Purpose: Bariatric surgery is associated with a greater venous thromboembolism (VTE) risk in the weeks following surgery, but the long-term risk of VTE is incompletely characterized. We evaluated bariatric surgery in relation to long-term VTE risk., Materials and Methods: This population-based retrospective matched cohort study within three United States-based integrated health care systems included adults with body mass index (BMI) ≥ 35 kg/m 2 who underwent bariatric surgery between January 2005 and September 2015 (n = 30,171), matched to nonsurgical patients on site, age, sex, BMI, diabetes, insulin use, race/ethnicity, comorbidity score, and health care utilization (n = 218,961). Follow-up for incident VTE ended September 2015 (median 9.3, max 10.7 years)., Results: Our population included 30,171 bariatric surgery patients and 218,961 controls; we identified 4068 VTE events. At 30 days post-index date, bariatric surgery was associated with a fivefold greater VTE risk (HR adj  = 5.01; 95% CI = 4.14, 6.05) and a nearly fourfold greater PE risk (HR adj  = 3.93; 95% CI = 2.87, 5.38) than no bariatric surgery. At 1 year post-index date, bariatric surgery was associated with a 48% lower VTE risk and a 70% lower PE risk (HR adj  = 0.52; 95% CI = 0.41, 0.66 and HR adj  = 0.30; 95% CI = 0.21, 0.44, respectively). At 5 years post-index date, lower VTE risks persisted, with bariatric surgery associated with a 41% lower VTE risk and a 55% lower PE risk (HR adj  = 0.59; 95% CI = 0.48, 0.73 and HR adj  = 0.45; 95% CI = 0.32, 0.64, respectively)., Conclusion: Although in the short-term bariatric surgery is associated with a greater VTE risk, in the long-term, it is associated with a substantially lower risk., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Importance: Extensive evidence documents health disparities for lesbian, gay, and bisexual (LGB) women, including worse physical, mental, and behavioral health than heterosexual women. These factors have been linked to premature mortality, yet few studies have investigated premature mortality disparities among LGB women and whether they differ by lesbian or bisexual identity., Objective: To examine differences in mortality by sexual orientation., Design, Setting, and Participants: This prospective cohort study examined differences in time to mortality across sexual orientation, adjusting for birth cohort. Participants were female nurses born between 1945 and 1964, initially recruited in the US in 1989 for the Nurses' Health Study II, and followed up through April 2022., Exposures: Sexual orientation (lesbian, bisexual, or heterosexual) assessed in 1995., Main Outcome and Measure: Time to all-cause mortality from assessment of exposure analyzed using accelerated failure time models., Results: Among 116 149 eligible participants, 90 833 (78%) had valid sexual orientation data. Of these 90 833 participants, 89 821 (98.9%) identified as heterosexual, 694 (0.8%) identified as lesbian, and 318 (0.4%) identified as bisexual. Of the 4227 deaths reported, the majority were among heterosexual participants (n = 4146; cumulative mortality of 4.6%), followed by lesbian participants (n = 49; cumulative mortality of 7.0%) and bisexual participants (n = 32; cumulative mortality of 10.1%). Compared with heterosexual participants, LGB participants had earlier mortality (adjusted acceleration factor, 0.74 [95% CI, 0.64-0.84]). These differences were greatest among bisexual participants (adjusted acceleration factor, 0.63 [95% CI, 0.51-0.78]) followed by lesbian participants (adjusted acceleration factor, 0.80 [95% CI, 0.68-0.95])., Conclusions and Relevance: In an otherwise largely homogeneous sample of female nurses, participants identifying as lesbian or bisexual had markedly earlier mortality during the study period compared with heterosexual women. These differences in mortality timing highlight the urgency of addressing modifiable risks and upstream social forces that propagate and perpetuate disparities.

It is estimated that billions of people around the world are affected by micronutrient deficiencies. Madagascar is considered to be particularly nutritionally vulnerable, with nearly half of the population stunted, and parts of the country facing emergency, near famine-like conditions (IPC4). Although Madagascar is generally considered among the most undernourished of countries, empirical data in the form of biological samples to validate these claims are extremely limited. Our research drew data from three studies conducted between 2013-2020 and provided comprehensive biomarker profile information for 4,710 individuals from 30 communities in five different ecological regions during at least one time-point. Estimated prevalences of nutrient deficiencies and inflammation across various regions of rural Madagascar were of concern for both sexes and across all ages, with 66.5% of the population estimated to be deficient in zinc, 15.6% depleted in vitamin B 12 (3.6% deficient), 11.6% deficient in retinol, and lower levels of iron deficiency (as indicated by 11.7% deficient in ferritin and 2.3% deficient assessed by soluble transferrin receptors). Beyond nutrient status biomarkers, nearly one quarter of the population (24.0%) exhibited chronic inflammation based on high values of α-1-acid glycoprotein, and 12.3% exhibited acute inflammation based on high values of C-reactive protein. There is an 8-fold difference between the lowest and highest regional observed prevalence of vitamin B 12 deficiency, a 10-fold difference in vitamin A deficiency (based on retinol), and a 2-fold difference in acute inflammation (CRP) and deficiencies of zinc and iron (based on ferritin), highlighting strong geographical variations in micronutrient deficiencies across Madagascar., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Golden, Zamborain-Mason, Levis, Rice, Allen, Hampel, Hazen, Metcalf, Randriamady, Shahab-Ferdows, Wu and Haneuse.)

BACKGROUND. A paucity of relevant guidelines may lead to pronounced variation among radiologists in issuing recommendations for additional imaging (RAI) for head and neck imaging. OBJECTIVE. The purpose of this article was to explore associations of RAI for head and neck imaging examinations with examination, patient, and radiologist factors and to assess the role of individual radiologist-specific behavior in issuing such RAI. METHODS. This retrospective study included 39,200 patients (median age, 58 years; 21,855 women, 17,315 men, 30 with missing sex information) who underwent 39,200 head and neck CT or MRI examinations, interpreted by 61 radiologists, from June 1, 2021, through May 31, 2022. A natural language processing (NLP) tool with manual review of NLP results was used to identify RAI in report impressions. Interradiologist variation in RAI rates was assessed. A generalized mixed-effects model was used to assess associations between RAI and examination, patient, and radiologist factors. RESULTS. A total of 2943 (7.5%) reports contained RAI. Individual radiologist RAI rates ranged from 0.8% to 22.0% (median, 7.1%; IQR, 5.2-10.2%), representing a 27.5-fold difference between minimum and a maximum values and 1.8-fold difference between 25th and 75th percentiles. In multivariable analysis, RAI likelihood was higher for CTA than for CT examinations (OR, 1.32), for examinations that included a trainee in report generation (OR, 1.23), and for patients with self-identified race of Black or African American versus White (OR, 1.25); was lower for male than female patients (OR, 0.90); and was associated with increasing patient age (OR, 1.09 per decade) and inversely associated with radiologist years since training (OR, 0.90 per 5 years). The model accounted for 10.9% of the likelihood of RAI. Of explainable likelihood of RAI, 25.7% was attributable to examination, patient, and radiologist factors; 74.3% was attributable to radiologist-specific behavior. CONCLUSION. Interradiologist variation in RAI rates for head and neck imaging was substantial. RAI appear to be more substantially associated with individual radiologist-specific behavior than with measurable systemic factors. CLINICAL IMPACT. Quality improvement initiatives, incorporating best practices for incidental findings management, may help reduce radiologist preference-sensitive decision-making in issuing RAI for head and neck imaging and associated care variation.

Objectives: To examine the association between parents' influenza vaccination and their children's coronavirus disease 2019 (COVID-19) vaccination status., Methods: Participants included father-mother dyads from Fathers & Families , a cohort of fathers and their co-parents living in the United States. Parents' influenza vaccination status and children's COVID-19 vaccination status were reported from June 2022-July 2023. Logistic regression was used to examine the association between parental influenza vaccination (both parents vs. neither parent vs. mother only vs. father only vaccinated) and child COVID-19 vaccination (received at least 1 vs. 0 doses). Models were adjusted for recruitment site, income, parent education, child race/ethnicity, child age, and childcare enrollment. Inverse probability weighting was used to account for selection bias into the father-mother dyad sample., Results: Children were predominately non-Hispanic White (56 %) and aged 3-5 years (62 %). In most households, both parents (64 %) received the influenza vaccine and half (53 %) of children received the COVID-19 vaccine. One-in-four fathers (23 %) lacked knowledge about their child's COVID-19 vaccination eligibility. Compared to children with two unvaccinated parents, having only their father (adjusted odds ratio [AOR] = 2.84, 95 % confidence interval [CI]: 1.52-5.36), only their mother (AOR = 4.04, 95 % CI: 2.16-7.68), and both parents (AOR = 10.33, 95 % CI: 6.29-17.53) vaccinated against influenza was associated with higher odds of children receiving the COVID-19 vaccine., Conclusions: Father and mother influenza vaccination is associated with child COVID-19 vaccination. Given many fathers were unaware their child was eligible for the COVID-19 vaccine, it is critical to tailor vaccine messaging for fathers., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Inc.)

An important task in survival analysis is choosing a structure for the relationship between covariates of interest and the time-to-event outcome. For example, the accelerated failure time (AFT) model structures each covariate effect as a constant multiplicative shift in the outcome distribution across all survival quantiles. Though parsimonious, this structure cannot detect or capture effects that differ across quantiles of the distribution, a limitation that is analogous to only permitting proportional hazards in the Cox model. To address this, we propose a general framework for quantile-varying multiplicative effects under the AFT model. Specifically, we embed flexible regression structures within the AFT model and derive a novel formula for interpretable effects on the quantile scale. A regression standardization scheme based on the g-formula is proposed to enable the estimation of both covariate-conditional and marginal effects for an exposure of interest. We implement a user-friendly Bayesian approach for the estimation and quantification of uncertainty while accounting for left truncation and complex censoring. We emphasize the intuitive interpretation of this model through numerical and graphical tools and illustrate its performance through simulation and application to a study of Alzheimer's disease and dementia., (© The Author 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: The prevalence of poor sleep quality and sleep apnea differs by race and ethnicity and may contribute to racial disparities in cognitive aging. We investigated whether sleep quality and sleep apnea risk were associated with cognitive function and decline and whether the associations differed by race/ethnicity., Methods: Participants from the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE; N = 1690; mean age: 75.7 years) study, a cohort of Asian, Black, Latino, and White participants, completed a modified Pittsburgh Sleep Quality Index assessing subjective sleep quality, latency, duration, disturbances, sleep medication use, and daytime dysfunction. Sleep apnea risk was measured by questions about snoring, tiredness, and whether apnea was observed. Executive function and verbal episodic memory were assessed at three time points over an average of 2.7 years with the Spanish and English Neuropsychological Assessment Scale. We fit linear mixed-effect models and stratified analyses by race/ethnicity., Results: Higher sleep apnea risk was associated with faster declines in verbal episodic memory ( β ^ sleep apnea = -0.02, 95% confidence interval [CI], -0.04, -0.001) but not in executive function. Poorer sleep quality was associated with lower levels of and faster decline in executive function but not in verbal episodic memory. Race/ethnicity modified these associations: compared to estimated effects among White participants, poorer global sleep quality ( β ^ sleep*time = -0.02, 95% CI, -0.02, -0.01) was associated with larger effects on decline in executive function among Black participants. Estimated effects of some individual sleep quality components were also modified by race/ethnicity; for example, sleep medication use was associated with faster declines in executive function ( β ^ sleep*time = -0.05, 95% CI, -0.07, -0.03) and verbal episodic memory β ^ sleep*time = -0.04, 95% CI, -0.07, -0.02) among Black participants compared to White participants., Discussion: Observational evidence indicates sleep quality is a promising target for addressing racial/ethnic disparities in cognitive aging, especially among Black older adults., Highlights: Sleep apnea risk was associated with faster declines in verbal episodic memory but not executive function among all participants.Global sleep quality was associated with lower levels of and faster decline in executive function but not verbal episodic memory among all participants.Black older adults were particularly susceptible to the estimated adverse cognitive impacts of global sleep quality, particularly the use of sleep medication., Competing Interests: The authors declare no conflicts of interest. Author disclosures are available in the supporting information., (© 2024 The Authors. Alzheimer's & Dementia: Translational Research & Clinical Interventions published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)