Intolerance of Uncertainty and Cognition in Breast Cancer Survivors: The Mediating Role of Anxiety.

Cancer-related cognitive impairment (CRCI) is one of the most prevalent symptoms that breast cancer survivors experience. While cancer treatments are established contributors to CRCI, inter-individual differences in CRCI are not well understood. Individual differences in sensitivity to uncertainty are potential contributors to CRCI; however, no prior studies have attempted to examine this link in the context of breast cancer. To address the gap, we used preliminary findings from an ongoing cross-sectional study. A total of 38 women with stage I-III breast cancer (1-4 years post-treatment) were included in this study. Intolerance of uncertainty (IU) was assessed using the Intolerance of Uncertainty Scale. Self-reported cognitive function was assessed with the Neuro-QoL questionnaire. Anxiety was assessed using the Patient-Reported Outcomes Measurement System Bank. From this study, we found that anxiety mediates the association between IU and cognitive function of survivors. In other words, among post-menopausal breast cancer survivors, those with higher IU showed higher anxiety and consequently had lower cognitive function. This finding suggests that assessing IU may help predict the risk of CRCI. This study expands the current knowledge that addresses the importance of IU as a factor associated with cognitive health.

Accelerating Colorectal Cancer Screening and Follow-up through Implementation Science (ACCSIS) in Appalachia: protocol for a group randomized, delayed intervention trial.

Appalachian regions of Kentucky and Ohio are hotspots for colorectal cancer (CRC) mortality in the USA. Screening reduces CRC incidence and mortality; however, screening uptake is needed, especially in these underserved geographic areas. Implementation science offers strategies to address this challenge. The aim of the current study was to conduct multi-site, transdisciplinary research to evaluate and improve CRC screening processes using implementation science strategies. The study consists of two phases (Planning and Implementation). In the Planning Phase, a multilevel assessment of 12 health centers (HC) (one HC from each of the 12 Appalachian counties) was conducted by interviewing key informants, creating community profiles, identifying HC and community champions, and performing HC data inventories. Two designated pilot HCs chose CRC evidence-based interventions to adapt and implement at each level (i.e., patient, provider, HC, and community) with evaluation relative to two matched control HCs. During the Implementation Phase, study staff will repeat the rollout process in HC and community settings in a randomized, staggered fashion in the remaining eight counties/HCs. Evaluation will include analyses of electronic health record data and provider and county surveys. Rural HCs have been reluctant to participate in research because of concerns about capacity; however, this project should demonstrate that research does not need to be burdensome and can adapt to local needs and HC abilities. If effective, this approach could be disseminated to HC and community partners throughout Appalachia to encourage the uptake of effective interventions to reduce the burden of CRC.

We conducted a multi-site study to evaluate and improve CRC screening processes using implementation science strategies at multiple levels including the patient, provider, health center, and community. Our goals were to increase rates of guideline-recommended CRC screening, follow-up, and referral-to-care in an Appalachian, medically underserved population.

Bayesian semiparametric joint modeling of a count outcome and inconveniently timed longitudinal predictors.

The Women's Health Initiative (WHI) Life and Longevity After Cancer (LILAC) study is an excellent resource for studying the quality of life following breast cancer treatment. At study entry, women were asked about new symptoms that appeared following their initial cancer treatment. In this article, we were interested in using regression modeling to estimate associations of clinical and lifestyle factors at cancer diagnosis (independent variables) with the number of new symptoms (dependent variable). Although clinical and lifestyle data were collected longitudinally, few measurements were obtained at diagnosis or at a consistent timepoint prior to diagnosis, which complicates the analysis. Furthermore, parametric count models, such as the Poisson and negative binomial, do not fit the symptom data well. Thus, motivated by the issues encountered in LILAC, we propose two Bayesian joint models for longitudinal data and a count outcome. Our two models differ according to the assumption on the outcome distribution: one uses a negative binomial (NB) distribution and the other a nonparametric rounded mixture of Gaussians (RMG). The mean of each count distribution is dependent on imputed values of continuous, binary, and ordinal variables at a time point of interest (e.g. diagnosis). To facilitate imputation, longitudinal variables are modeled jointly using a linear mixed model for a latent underlying normal random variable, and a Dirichlet process prior is assigned to the random subject-specific effects to relax distribution assumptions. In simulation studies, the RMG joint model exhibited superior power and predictive accuracy over the NB model when the data were not NB. The RMG joint model also outperformed an RMG model containing predictors imputed using the last value carried forward, which generated estimates that were biased toward the null. We used our models to examine the relationship between sleep health at diagnosis and the number of new symptoms following breast cancer treatment in LILAC.

Self-reported symptoms among cancer survivors in the Women's Health Initiative (WHI) Life and Longevity after Cancer (LILAC) cohort.

PURPOSE: Due to cancer survivors living longer and morbidity associated with cancer treatments, it is necessary to understand symptoms experienced by cancer survivors. This study will analyze the symptom burden among a large cohort of survivors across multiple cancer sites. METHODS: Data from the Women's Health Initiative (WHI) Life and Longevity After Cancer (LILAC) study were used to examine the symptom burden of older cancer survivors. Poisson regression with robust standard errors was utilized to determine differences in symptoms by cancer site, treatment, and other covariates. RESULTS: The most frequently reported symptoms among cancer survivors were fatigue (15.8%) and feeling sad or depressed (14.1%). Multivariable analyses indicated that more symptoms were reported among survivors who were younger (p = 0.002), divorced or separated (p = 0.03), and had a combination of public and private insurance (p = 0.01). Survivors who received chemotherapy (p < 0.001), radiation (p = 0.01), or hormone therapy (p = 0.02) reported more symptoms than survivors who did not receive these treatments. Survivors diagnosed with cancer < 5 years ago reported fewer symptoms than longer-term survivors, particularly those diagnosed > 10 years ago (p = 0.02). CONCLUSIONS: Results indicate that common physical and psychological symptoms are reported across cancer types. Cancer survivors diagnosed with cancer 10 or more years ago reported more symptoms than those recently diagnosed. This suggests that symptoms may remain a problem for some survivors decades after their diagnosis. IMPLICATIONS FOR CANCER SURVIVORS: Future research should focus on implementing active surveillance of cancer survivors. Healthcare providers and those who care for cancer survivors should understand that the symptom burden associated with cancer may persist even decades following diagnosis.

Influence of Literacy, Self-Efficacy, and Social Support on Diabetes-Related Outcomes Following Hospital Discharge.

Objective: To evaluate the relationship between health literacy, social support, and self-efficacy as predictors of change in A1c and readmission among hospitalized patients with type 2 diabetes (T2D). Methods: This is a secondary analysis of patients with T2D (A1c >8.5%) enrolled in a randomized trial in which health literacy (Newest Vital Sign), social support (Multidimensional Scale of Perceived Social Support), and empowerment (Diabetes Empowerment Scale-Short Form) was assessed at baseline. Multivariable models evaluated whether these concepts were associated with A1c reduction at 12 weeks (absolute change, % with >1% reduction, % reaching individualized target) and readmission (14 and 30 days). Results: A1c (N=108) decreased >1% in 60%, while individualized A1c target was achieved in 31%. After adjustment for baseline A1c and potential confounders, health literacy was associated with significant reduction in A1c (Estimate -0.21, 95% CI -0.40, -0.01, p=0.041) and >1% decrease in A1c (OR 1.37, 95% CI 1.08, 1.73, p=0.009). However, higher social support was associated with greater adjusted odds of reaching the individualized A1c target (OR 1.63, 95% CI 1.04, 2.55, p=0.32). Both higher empowerment (OR 0.23, 95% CI 0.08, 0.64, p=0.005) and social support (OR 0.57, 95% CI 0.36, 0.91, p=0.018) were associated with fewer readmissions by 14 days, but not 30 days. Conclusion: The study indicates that health literacy and social support may be important predictors of A1c reduction post-discharge among hospitalized patients with T2D. Social support and diabetes self-management skills should be addressed and early follow-up may be critical for avoiding readmissions. Clinical Trial: NCT03455985.

Visual attention to blu's parody warnings and the FDA's warning on e-cigarette advertisements.

OBJECTIVES: In 2017, the e-cigarette brand, blu, released advertisements featuring large, boxed, positively-framed messages. These messages mimicked the format of FDA-mandated warnings that would appear on e-cigarette advertisements in the United States in 2018. We compared attention to blu's parody warnings and FDA-mandated warning appearing on blu advertisements. METHODS: N = 73 young adults who had used tobacco participated in an eye-tracking study. Participants viewed three blu e-cigarette advertisements in random order: one with a parody warning and two with the FDA-mandated warning (one with a model's face and one without). Areas of interest (AOIs) were the parody or FDA-mandated warning. We compared dwell time on AOIs between the three advertisements. RESULTS: Participants viewed parody warnings longer than each FDA-mandated warning on average (254 and 608 ms longer; p's < 0.02). Comparing the advertisements with FDA-mandated warnings revealed that participants spent less time looking at the warning in the advertisement with a model's face (354 fewer milliseconds; p = 0.001). CONCLUSIONS: Parody warnings attracted more visual attention than FDA-mandated warnings, and the presence of a face in the advertisement drew attention away from the FDA-mandated warning. Results underscore the need for advertisement regulations that support increased attention to health warnings.

Bayesian semiparametric joint modeling of longitudinal explanatory variables of mixed types and a binary outcome.

Many prospective biomedical studies collect longitudinal clinical and lifestyle data that are both continuous and discrete. In some studies, there is interest in the association between a binary outcome and the values of these longitudinal measurements at a specific time point. A common problem in these studies is inconsistency in timing of measurements and missing follow-ups which can lead to few measurements at the time of interest. Some methods have been developed to address this problem, but are only applicable to continuous measurements. To address this limitation, we propose a new class of joint models for a binary outcome and longitudinal explanatory variables of mixed types. The longitudinal model uses a latent normal random variable construction with regression splines to model time-dependent trends in mean with a Dirichlet Process prior assigned to random effects to relax distribution assumptions. We also standardize timing of the explanatory variables by relating the binary outcome to imputed longitudinal values at a set time point. The proposed model is evaluated through simulation studies and applied to data from a cancer survivor study of participants in the Women's Health Initiative.

Correlates of physical activity among older breast cancer survivors: Findings from the Women's Health Initiative LILAC study.

INTRODUCTION: Physical activity can attenuate cancer-related declines in physical functioning, improve emotional well-being, and prolong survival among older (≥65 years) breast cancer survivors. However, factors associated with physical activity among older breast cancer survivors are not well-understood. MATERIALS AND METHODS: Participants were enrolled in the Women's Health Initiative (WHI) Life and Longevity After Cancer (LILAC) study. Descriptive statistics, multiple linear regression, and relative risk [RR] regression were used to assess the association of demographic, clinical, physical and psychosocial variables with the total duration of and participation in physical activity among postmenopausal breast cancer survivors. Age-specific correlates (65-74 years vs. 75-84 years vs. ≥85 years) of physical activity were also examined. RESULTS: The majority of participants (n = 3710, mean age = 78.8 ± 5.9) were white (90.7%) and had in situ/localized breast cancer (78.9%). Women who had higher education (RR = 1.47 for graduate/professional school versus high school or less, 95% CI: 1.32, 1.63), higher self-rated health (RR = 1.04 for 10 point increase, 95% CI:1.02, 1.07), higher physical functioning (RR = 1.03 for 5 point increase, 95% CI: 1.02, 1.04), and higher social support (RR = 1.41 for social support all of the time versus none of the time, 95% CI: 1.01, 1.96), were more likely to engage in any physical activity. Similar results were observed for duration of physical activity. Among women aged <75, radiation therapy, but not chemotherapy, was associated with longer duration of total physical activity (adjusted difference = 19.7 min/week, 95% CI: 6.1, 33.3), but was not associated with duration among older women. The association between pain and duration of moderate/strenuous activity also differed with age: among women aged <75, those with moderate pain averaged fewer minutes of moderate/strenuous physical activity than those with no pain (adjusted difference:-14.4 min/week, 95% CI:-28.5, -0.1). However, among women aged ≥85, those with moderate pain averaged more minutes of moderate/strenuous physical activity per week than those with no pain (adjusted difference:16.6 min/week; 95% CI:2.9, 30.3). DISCUSSION: Multiple factors were associated with physical activity among older breast cancer survivors in the WHI. Future physical activity interventions should focus on age-related (e.g., comorbidities) and treatment-related factors (e.g., radiation) as well as certain subgroups, such as women with higher symptom burden.

Body image, physical activity and psychological health in older female cancer survivors.

OBJECTIVES: To determine the association of physical activity and body image with psychological health outcomes and whether body image mediates the association of physical activity with psychological health among older female cancer survivors. MATERIALS AND METHODS: Data from the Women's Health Initiative (WHI) Life and Longevity after Cancer (LILAC) Study were used. Surveys assessed body image (appearance, attractiveness, scars), moderate-strenuous physical activity (min/week), and psychological health (depression, anxiety, distress). A mediation analysis was conducted to estimate the percentage of the total effect of physical activity on psychological health mediated by body image concerns. RESULTS: Among 4567 female cancer survivors aged 66-98 years, the average time since cancer diagnosis was 9.2 years. Approximately 50% reported no moderate-strenuous physical activity; 15% reported depressive symptoms, 6% reported anxiety, and 5% reported psychological distress; 3% had concerns with appearance, 20% had concerns with attractiveness, and 21% had concerns with scars. When unadjusted for body image concerns, every 30 min/week increase in physical activity was associated with lower risk of depressive symptoms (RR = 0.93, 95%CI: 0.90-0.96), anxiety (RR = 0.92, 95%CI: 0.87-0.97), and distress (RR = 0.92, 95%CI: 0.87-0.98). Body image concerns with appearance mediated 7%, 8.8%, and 14.5% of the association between physical activity and depressive symptoms, anxiety, and distress, respectively. CONCLUSION: Older female cancer survivors reported body image concerns, which were associated with both physical activity and psychological health. Our findings suggest that interventions designed to address body image concerns in older female cancer survivors could serve to improve the benefit of physical activity on psychological health.

Development of a multilevel intervention to increase colorectal cancer screening in Appalachia.

BACKGROUND: Colorectal cancer (CRC) screening rates are lower in Appalachian regions of the United States than in non-Appalachian regions. Given the availability of various screening modalities, there is critical need for culturally relevant interventions addressing multiple socioecological levels to reduce the regional CRC burden. In this report, we describe the development and baseline findings from year 1 of "Accelerating Colorectal Cancer Screening through Implementation Science (ACCSIS) in Appalachia," a 5-year, National Cancer Institute Cancer MoonshotSM-funded multilevel intervention (MLI) project to increase screening in Appalachian Kentucky and Ohio primary care clinics. METHODS: Project development was theory-driven and included the establishment of both an external Scientific Advisory Board and a Community Advisory Board to provide guidance in conducting formative activities in two Appalachian counties: one in Kentucky and one in Ohio. Activities included identifying and describing the study communities and primary care clinics, selecting appropriate evidence-based interventions (EBIs), and conducting a pilot test of MLI strategies addressing patient, provider, clinic, and community needs. RESULTS: Key informant interviews identified multiple barriers to CRC screening, including fear of screening, test results, and financial concerns (patient level); lack of time and competing priorities (provider level); lack of reminder or tracking systems and staff burden (clinic level); and cultural issues, societal norms, and transportation (community level). With this information, investigators then offered clinics a menu of EBIs and strategies to address barriers at each level. Clinics selected individually tailored MLIs, including improvement of patient education materials, provision of provider education (resulting in increased knowledge, p = .003), enhancement of electronic health record (EHR) systems and development of clinic screening protocols, and implementation of community CRC awareness events, all of which promoted stool-based screening (i.e., FIT or FIT-DNA). Variability among clinics, including differences in EHR systems, was the most salient barrier to EBI implementation, particularly in terms of tracking follow-up of positive screening results, whereas the development of clinic-wide screening protocols was found to promote fidelity to EBI components. CONCLUSIONS: Lessons learned from year 1 included increased recognition of variability among the clinics and how they function, appreciation for clinic staff and provider workload, and development of strategies to utilize EHR systems. These findings necessitated a modification of study design for subsequent years. TRIAL REGISTRATION: Trial NCT04427527 is registered at https://clinicaltrials.gov and was registered on June 11, 2020.

Semi-parametric survival analysis via Dirichlet process mixtures of the First Hitting Time model.

Time-to-event data often violate the proportional hazards assumption inherent in the popular Cox regression model. Such violations are especially common in the sphere of biological and medical data where latent heterogeneity due to unmeasured covariates or time varying effects are common. A variety of parametric survival models have been proposed in the literature which make more appropriate assumptions on the hazard function, at least for certain applications. One such model is derived from the First Hitting Time (FHT) paradigm which assumes that a subject's event time is determined by a latent stochastic process reaching a threshold value. Several random effects specifications of the FHT model have also been proposed which allow for better modeling of data with unmeasured covariates. While often appropriate, these methods often display limited flexibility due to their inability to model a wide range of heterogeneities. To address this issue, we propose a Bayesian model which loosens assumptions on the mixing distribution inherent in the random effects FHT models currently in use. We demonstrate via simulation study that the proposed model greatly improves both survival and parameter estimation in the presence of latent heterogeneity. We also apply the proposed methodology to data from a toxicology/carcinogenicity study which exhibits nonproportional hazards and contrast the results with both the Cox model and two popular FHT models.

Waterpipe Warning Placement and Risk Perceptions: An Eye Tracking Study.

Objectives: The purpose of this study was to select a health warning message location on a waterpipe (WP) that both attracted visual attention and conveyed the risks associated with WP smoking. Methods: During June through November 2019, we conducted a within-subjects randomized experiment (N = 74) using eye tracking equipment to examine visual attention to 3 placements of a health warning on the WP (stem, water bowl, hose). We asked young adult ever WP users 3 questions about WP harm perceptions. We used generalized linear mixed models to examine the amount of fixation time spent on the placement locations; we used repeated measures ANOVA to model changes in harm perceptions. Results: There were statistically significant differences across all 3 placement locations; regardless of place, all HWLs attracted a comparable amount of visual attention. Absolute WP harm perceptions significantly increased following the experiment and remained significantly higher at the one-week follow-up, compared to baseline. Conclusions: Warnings on WPs attracted visual attention and increased harm perceptions, and those harm perceptions remained high one week after the experiment. Findings indicate the value of including a warning on the WP device, and underscore the necessity and effectiveness of those health warnings to combat WP harm misperceptions.

Provider recommendation for HPV vaccination across Hispanic/Latinx subgroups in the United States.

Healthcare provider recommendation is a key predictor of HPV vaccination among adolescents, yet little is known about how parents' receipt of a provider recommendation differs across Hispanic/Latinx subgroups in the United States. We analyzed data from the 2012-2016 National Immunization Survey - Teen on Hispanic/Latinx adolescent ages 13-17 (n = 16,335). Analyses used weighted logistic regression models. Overall, 62.6% of parents of Hispanic/Latinx females and 46.4% of parents of Hispanic/Latinx males reported that they had received a provider recommendation for HPV vaccination. Among parents of females, receipt of a provider recommendation ranged from 55.0% among Central Americans to 73.3% among parents of Puerto Ricans. Among parents of males, the range was from 44.5% among Mexicans and multi-subgroup males to 53.4% among Cubans. There were no differences across Hispanic/Latinx subgroups in adjusted models among either males or females (all p > .05). Among parents of females, provider recommendation was less common among those whose preferred language was Spanish for Central Americans and South Americans (both p < .05). Efforts are needed to improve provider communication about and recommendations for HPV vaccination among the Hispanic/Latinx population and to ensure the availability of language assistance services for individuals with limited English proficiency.

Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated?

BACKGROUND: Coronavirus disease 2019 (COVID-19) was declared a pandemic in March 2020. Several prophylactic vaccines against COVID-19 are currently in development, yet little is known about people's acceptability of a COVID-19 vaccine. METHODS: We conducted an online survey of adults ages 18 and older in the United States (n = 2,006) in May 2020. Multivariable relative risk regression identified correlates of participants' willingness to get a COVID-19 vaccine (i.e., vaccine acceptability). RESULTS: Overall, 69% of participants were willing to get a COVID-19 vaccine. Participants were more likely to be willing to get vaccinated if they thought their healthcare provider would recommend vaccination (RR = 1.73, 95% CI: 1.49-2.02) or if they were moderate (RR = 1.09, 95% CI: 1.02-1.16) or liberal (RR = 1.14, 95% CI: 1.07-1.22) in their political leaning. Participants were also more likely to be willing to get vaccinated if they reported higher levels of perceived likelihood getting a COVID-19 infection in the future (RR = 1.05, 95% CI: 1.01-1.09), perceived severity of COVID-19 infection (RR = 1.08, 95% CI: 1.04-1.11), or perceived effectiveness of a COVID-19 vaccine (RR = 1.46, 95% CI: 1.40-1.52). Participants were less likely to be willing to get vaccinated if they were non-Latinx black (RR = 0.81, 95% CI: 0.74-0.90) or reported a higher level of perceived potential vaccine harms (RR = 0.95, 95% CI: 0.92-0.98). CONCLUSIONS: Many adults are willing to get a COVID-19 vaccine, though acceptability should be monitored as vaccine development continues. Our findings can help guide future efforts to increase COVID-19 vaccine acceptability (and uptake if a vaccine becomes available).

HPV vaccine coverage across Hispanic/Latinx subgroups in the United States.

PURPOSE: Research on HPV vaccine coverage in the United States has typically aggregated Hispanic/Latinx individuals into a single group for analyses, an approach that has potentially masked variation between Hispanic/Latinx subgroups. To address this limitation, we examined HPV vaccine coverage across Hispanic/Latinx subgroups. METHODS: We analyzed data on Hispanic/Latinx adolescents ages 13-17 (n = 16,335) from the 2012-2016 National Immunization Survey-Teen. Each adolescent was categorized into a subgroup: Mexican, Cuban, Puerto Rican, Central American, South American, other Spanish origin, or multi-subgroup. We examined HPV vaccine initiation (receipt of one or more doses) and completion (receipt of three doses) for males and females separately. Analyses used weighted logistic regression. RESULTS: Vaccine coverage among males was highest among Central Americans (initiation: 57.5%; completion: 31.1%) and lowest among multi-subgroup males (initiation: 46.3%; completion: 19.9%). Among females, initiation ranged from 63.4% among Cubans to 71.2% among Puerto Ricans, and completion ranged from 33.6% among multi-subgroup females to 48.7% among South Americans. Hispanic/Latinx subgroups were similar on these outcomes in regression models. However, within several subgroups, vaccine coverage was higher among adolescents whose parents' preferred language was Spanish (i.e., potentially less acculturated) compared to those whose parents' preferred language was English. CONCLUSIONS: Modest variation in HPV vaccine coverage exists across Hispanic/Latinx subgroups, with differences found by preferred language within several subgroups. Findings provide insight into HPV vaccine coverage among Hispanic/Latinx subgroups and can help guide future surveillance efforts and vaccination interventions.

Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow test.

Evaluating the goodness of fit of logistic regression models is crucial to ensure the accuracy of the estimated probabilities. Unfortunately, such evaluation is problematic in large samples. Because the power of traditional goodness of fit tests increases with the sample size, practically irrelevant discrepancies between estimated and true probabilities are increasingly likely to cause the rejection of the hypothesis of perfect fit in larger and larger samples. This phenomenon has been widely documented for popular goodness of fit tests, such as the Hosmer-Lemeshow test. To address this limitation, we propose a modification of the Hosmer-Lemeshow approach. By standardizing the noncentrality parameter that characterizes the alternative distribution of the Hosmer-Lemeshow statistic, we introduce a parameter that measures the goodness of fit of a model but does not depend on the sample size. We provide the methodology to estimate this parameter and construct confidence intervals for it. Finally, we propose a formal statistical test to rigorously assess whether the fit of a model, albeit not perfect, is acceptable for practical purposes. The proposed method is compared in a simulation study with a competing modification of the Hosmer-Lemeshow test, based on repeated subsampling. We provide a step-by-step illustration of our method using a model for postneonatal mortality developed in a large cohort of more than 300 000 observations.

A Multi-level Model to Understand Cervical Cancer Disparities in Appalachia.

The Appalachian region experiences higher incidence and mortality due to cervical cancer compared with other regions of the United States. The goal of the Ohio State University Center for Population Health and Health Disparities (CPHHD), called the Community Awareness Resources and Education (CARE) project, was to understand reasons for this disparity. The first wave (2003-2008) of funding included three projects focusing on the known risk factors for cervical cancer, lack of screening, smoking, and infection with human papillomavirus (HPV). On the basis of the results of these projects, the second wave (2011-2017) included four projects, designed to address a multi-level model of factors contributing to cervical disparities in Appalachia. The results of these projects were then used to refine a multi-level model that explains cervical cancer disparities in Appalachia. Future funded projects will take these multi-level explanations for cervical disparities and focus on implementation science strategies to reduce the burden of cervical cancer morbidity and mortality in Appalachia.See all articles in this Special Collection Honoring Paul F. Engstrom, MD, Champion of Cancer Prevention.

Change in Drop-Landing Mechanics Over 2 Years in Young Athletes After Anterior Cruciate Ligament Reconstruction.

BACKGROUND: While between-limb landing asymmetries after anterior cruciate ligament reconstruction (ACLR) are linked with poor function and risk of additional injury, it is not currently understood how landing symmetry changes over time after ACLR. PURPOSE/HYPOTHESIS: The purpose was to investigate how double-legged drop vertical jump (DVJ) landing and single-legged drop-landing symmetry changed from the time of return-to-sport (RTS) clearance to 2 years later in a prospective cohort of young athletes after ACLR. It was hypothesized that double-legged DVJ landing and single-legged drop-landing symmetry would improve from the time of RTS to 2 years later. STUDY DESIGN: Descriptive laboratory study. METHODS: The authors followed 64 young athletes with primary, unilateral ACLR for 2 years after RTS clearance. At the time of RTS and 2 years later, between-limb symmetry values for biomechanical variables of interest (VOIs) were calculated with 3-dimensional motion analysis during double-legged DVJ and single-legged drop-landing tasks. VOIs included knee flexion excursion, peak internal knee extension moment, peak vertical ground-reaction force, and peak trunk flexion (for single-legged task only). Symmetry values and proportions of participants meeting 90% symmetry cutoffs were compared between time points. RESULTS: For double-legged DVJ landing, symmetry values for all VOIs and the proportions meeting 90% cutoffs for peak internal knee extension moment and peak vertical ground-reaction force were higher at 2 years after RTS as compared with RTS. For single-legged drop-landing, symmetry values were higher for knee flexion excursion and lower for peak trunk flexion at 2 years after RTS as compared with RTS, but the proportions meeting 90% cutoffs for all VOIs did not differ between time points. CONCLUSION: Double-legged DVJ landing symmetry improved across VOIs over the 2 years after RTS following ACLR, while single-legged drop-landing did not improve as consistently. The implications of longitudinal landing asymmetry after ACLR should be further studied.

Clinical measures associated with knee function over two years in young athletes after ACL reconstruction.

PURPOSE: The purpose of this study was to investigate how patient-reported knee function changed over a two-year period in young athletes after anterior cruciate ligament reconstruction (ACLR) and return-to-sport (RTS), and to determine the impact of clinical measures, after controlling for demographic and surgical covariates. METHODS: At the time of RTS after primary, unilateral ACLR, the following data were collected in 67 young athletes: Quadriceps (QF), hamstring (HS), and hip abduction (HA) strength; knee range-of-motion, effusion, and anterior laxity; and patient-reported function using the Knee injury and Osteoarthritis Outcome Score (KOOS). At two years post-RTS, patient-reported function was reevaluated using the KOOS. Absolute KOOS scores and proportions of participants meeting functional recovery cutoffs were compared between time-points. Multivariable linear regression was used to determine clinical measures at RTS associated with two-year post-RTS KOOS scores. RESULTS: KOOS scores for all subscales were higher at two years post-RTS (all p < 0.003), and the proportions of participants demonstrating functional recovery were higher at two years post-RTS for the KOOS-Symptoms, KOOS-Sport, KOOS-QOL, and all KOOS subscales combined (all p < 0.03). After controlling for graft type, clinical measures at RTS associated with higher two-year post-RTS KOOS scores were: KOOS-Pain (lower HA peak torque); KOOS-Symptoms (higher QF strength symmetry and higher QF peak torque); and KOOS-ADL (lower HA peak torque). CONCLUSIONS: In this cohort, after controlling for graft type, higher QF strength symmetry, higher involved-limb QF peak torque, and lower involved-limb HA peak torque from the time of RTS were associated with higher function at two years post-RTS.