Faculty Bibliography

BACKGROUND:Prenatal phthalate exposure has been associated with lower birth weight but also higher weight in childhood. Few studies have examined weight or adiposity from birth to childhood and thus cannot assess growth trajectories associated with exposure. OBJECTIVE:We assessed associations between maternal phthalate exposures in pregnancy and child weight and adiposity measured prenatally through childhood (3-6 years of age). METHODS: RESULTS: DISCUSSION:We observed associations between prenatal exposure to phthalates and lower weight at birth but not at childhood follow-up visits. However, for adiposity, we observed an interesting pattern of association with low adiposity at delivery as well as high adiposity at 3-4 years of age. Although it is not clear from our results whether these associations occur within the same children, such a pattern of adiposity in early life has been linked to cardiometabolic disease in adulthood and deserves special attention as an outcome in the study of prenatal exposures in the developmental origins of health and disease. https://doi.org/10.1289/EHP10077.

Survival modeling with time-varying coefficients has proven useful in analyzing time-to-event data with one or more distinct failure types. When studying the cause-specific etiology of breast and prostate cancers using the large-scale data from the Surveillance, Epidemiology, and End Results (SEER) Program, we encountered two major challenges that existing methods for estimating time-varying coefficients cannot tackle. First, these methods, dependent on expanding the original data in a repeated measurement format, result in formidable time and memory consumption as the sample size escalates to over one million. In this case, even a well-configured workstation cannot accommodate their implementations. Second, when the large-scale data under analysis include binary predictors with near-zero variance (e.g., only 0.6% of patients in our SEER prostate cancer data had tumors regional to the lymph nodes), existing methods suffer from numerical instability due to ill-conditioned second-order information. The estimation accuracy deteriorates further with multiple competing risks. To address these issues, we propose a proximal Newton algorithm with a shared-memory parallelization scheme and tests of significance and nonproportionality for the time-varying effects. A simulation study shows that our scalable approach reduces the time and memory costs by orders of magnitude and enjoys improved estimation accuracy compared with alternative approaches. Applications to the SEER cancer data demonstrate the real-world performance of the proximal Newton algorithm.

Advances in breast cancer screening and systemic therapies have been credited with profound improvements in breast cancer outcomes; indeed, 5-year relative survival rate approaches 91% in the USA (U.S. National Institutes of Health NCI. SEER Training Modules, Breast). While breast cancer mortality has been declining, oncologic outcomes have not improved equally among all races and ethnicities. Many factors have been implicated in breast cancer disparities; chief among them is limited access to care which contributes to lower rates of timely screening mammography and, once diagnosed with breast cancer, lower rates of receipt of guideline concordant care (Wu, Lund, Kimmick GG et al. in J Clin Oncol 30(2):142-150, 2012). Hospitals with a safety-net mission, such as the essential hospitals, historically have been dedicated to providing high-quality care to all populations and have eagerly embraced the role of caring for the most vulnerable and working to eliminate health disparities. In this article, we review landmark articles that have evaluated the role safety-net hospitals have played in providing equitable breast cancer care including to those patients who face significant social and economic challenges.

OBJECTIVE/BACKGROUND/OBJECTIVE:To examine the impact of prostate cancer (PCa) on sleep health for patients and caregivers. We hypothesized that sleep disturbances and poor sleep quality would be prevalent among patients with PCa and their caregivers. PATIENTS/METHODS/METHODS:A systematic literature search was conducted according to the Preferred Reporting Items for a Systematic Review and Meta-analysis guidelines. To be eligible for this systematic review, studies had to include: (1) patients diagnosed with PCa and/or their caregivers; and (2) objective or subjective data on sleep. 2431 articles were identified from the search. After duplicates were removed, 1577 abstracts were screened for eligibility, and 315 underwent full-text review. RESULTS AND CONCLUSIONS/CONCLUSIONS:Overall, 83 articles met inclusion criteria and were included in the qualitative synthesis. The majority of papers included patients with PCa (98%), who varied widely in their treatment stage. Only 3 studies reported on sleep among caregivers of patients with PCa. Most studies were designed to address a different issue and examined sleep as a secondary endpoint. Commonly used instruments included the Insomnia Severity Index and European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaires (EORTC-QLQ). Overall, patients with PCa reported a variety of sleep issues, including insomnia and general sleep difficulties. Both physical and psychological barriers to sleep are reported in this population. There was common use of hypnotic medications, yet few studies of behavioral interventions to improve sleep for patients with PCa or their caregivers. Many different sleep issues are reported by patients with PCa and caregivers with diverse sleep measurement methods and surveys. Future research may develop consensus on validated sleep assessment tools for use in PCa clinical care and research to promote facilitate comparison of sleep across PCa treatment stages. Also, future research is needed on behavioral interventions to improve sleep among this population.

There are multivariate influences on the development of children's executive function throughout the lifespan and substantial individual differences can be seen as early as when children are 1 and 2 years of age. These individual differences are moderately stable throughout early childhood, but more research is needed to better understand their origins. To some degree, individual differences in executive function are correlated between mother and child, but no research to date has examined these associations prior to when children are preschool age, nor have any studies considered the role of fathers' and mothers' executive function in tandem. Here, we use a sample of 484 families (Mothers 89.2% white; Fathers 92.5% white) in three countries (UK, USA, Netherlands) to investigate the role of each parents' executive function on the development of children's (49.7% female) executive function from 14 (M = 14.42, SD = 0.57) to 24 (M = 24.47, SD = 0.78) months, as well as parenting practices that underlie these associations. Results of structural equation models suggest stability in some-but not all-components of executive function and growing unity between components as children age. We replicate extant findings such that mothers' executive function predicts children's executive function over and above stability and extend these findings to include associations between father and child skills. We find an additive role of fathers' EF, similar in magnitude to the role of mothers' EF. Finally, for both mothers and fathers we find that sensitivity and autonomy supportive practices mediate the relations between parents' and children's executive function.

Previous studies have provided data on determinants of phthalates in pregnant women, but results were disparate across regions. We aimed to identify the food groups and demographic factors that predict phthalate exposure in an urban contemporary pregnancy cohort in the US. The study included 450 pregnant women from the New York University Children's Health and Environment Study in New York City. Urinary concentrations of 22 phthalate metabolites, including metabolites of di-2-ethylhexylphthalate (DEHP), were determined at three time points across pregnancy by liquid chromatography coupled with tandem mass spectrometry. The Diet History Questionnaire II was completed by pregnant women at mid-pregnancy to assess dietary information. Linear mixed models were fitted to examine determinants of urinary phthalate metabolite concentrations. Using partial-linear single-index (PLSI) models, we assessed the major contributors, among ten food groups, to phthalate exposure. Metabolites of DEHP and its ortho-phthalate replacement, diisononyl phthalate (DiNP), were found in >90% of the samples. The sum of creatinine-adjusted DiNP metabolite concentrations was higher in older and single women and in samples collected in summer. Hispanic and non-Hispanic Black women had lower urinary concentrations of summed metabolites of di-n-octyl phthalate (DnOP), but higher concentrations of low molecular weight phthalates compared with non-Hispanic White women. Each doubling of grain products consumed was associated with a 20.9% increase in ∑DiNP concentrations (95%CI: 4.5, 39.9). PLSI models revealed that intake of dried beans and peas was the main dietary factor contributing to urinary ∑DEHP, ∑DiNP, and ∑DnOP levels, with contribution proportions of 76.3%, 35.8%, and 27.4%, respectively. Urinary metabolite levels of phthalates in pregnant women in NYC varied by age, marital status, seasonality, race/ethnicity, and diet. These results lend insight into the major determinants of phthalates levels, and may be used to identify exposure sources and guide interventions to reduce exposures in susceptible populations.

BACKGROUND:Several tools to improve reporting of implementation studies for evidence-based decision making have been created; however, no tool for critical appraisal of implementation outcomes exists. Researchers, practitioners, and policy makers lack tools to support the concurrent synthesis and critical assessment of outcomes for implementation research. Our objectives were to develop a comprehensive tool to (1) describe studies focused on implementation that use qualitative, quantitative, and/or mixed methodologies and (2) assess risk of bias of implementation outcomes. METHODS:A hybrid consensus-building approach combining Delphi Group and Nominal Group techniques (NGT) was modeled after comparative methodologies for developing health research reporting guidelines and critical appraisal tools. First, an online modified NGT occurred among a small expert panel (n = 5), consisting of literature review, item generation, round robin with clarification, application of the tool to various study types, voting, and discussion. This was followed by a larger e-consensus meeting and modified Delphi process with implementers and implementation scientists (n = 32). New elements and elements of various existing tools, frameworks, and taxonomies were combined to produce the ASSESS tool. RESULTS:The 24-item tool is applicable to a broad range of study designs employed in implementation science, including qualitative studies, randomized-control trials, non-randomized quantitative studies, and mixed methods studies. Two key features are a section for assessing bias of the implementation outcomes and sections for describing the implementation strategy and intervention implemented. An accompanying explanation and elaboration document that identifies and describes each of the items, explains the rationale, and provides examples of reporting and appraising practice, as well as templates to allow synthesis of extracted data across studies and an instructional video, has been prepared. CONCLUSIONS:The comprehensive, adaptable tool to support both reporting and critical appraisal of implementation science studies including quantitative, qualitative, and mixed methods assessment of intervention and implementation outcomes has been developed. This tool can be applied to a methodologically diverse and growing body of implementation science literature to support reviews or meta-analyses that inform evidence-based decision-making regarding processes and strategies for implementation.

Sexual and gender minorities (SGM) include persons identifying as lesbian, gay, bisexual, transgender/non-binary, and queer experience a greater cancer burden than their heterosexual or cisgender counterparts. Access to cancer care includes prevention and early detection, however despite known increased risk for various malignancies among SGM individuals, cancer screening rates remain low. This commentary outlines disparities in cancer screening for SGM individuals and provides the current evidence-based screening guidelines for these patients.