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OBJECTIVES: The US Agency for Healthcare Research and Quality (AHRQ), through the Evidence-based Practice Center (EPC) Program, aims to provide health system decision makers with the highest-quality evidence to inform clinical decisions. However, limitations in the literature may lead to inconclusive findings in EPC systematic reviews (SRs). The EPC Program conducted pilot projects to understand the feasibility, benefits, and challenges of utilizing health system data to augment SR findings to support confidence in healthcare decision-making based on real-world experiences. STUDY DESIGN AND SETTING: Three contractors (each an EPC located at a different health system) selected a recently completed systematic review conducted by their center and identified an evidence gap that electronic health record (EHR) data might address. All pilot project topics addressed clinical questions as opposed to care delivery, care organization, or care disparities topics that are common in EPC reports. Topic areas addressed by each EPC included infantile epilepsy, migraine, and hip fracture. EPCs also tracked additional resources needed to conduct supplemental analyses. The workgroup met monthly in 2022-2023 to discuss challenges and lessons learned from the pilot projects. RESULTS: Two supplemental data analyses filled an evidence gap identified in the systematic reviews (raised certainty of evidence, improved applicability) and the third filled a health system knowledge gap. Project challenges fell under three themes: regulatory and logistical issues, data collection and analysis, and interpretation and presentation of findings. Limited ability to capture key clinical variables given inconsistent or missing data within the EHR was a major limitation. The workgroup found that conducting supplemental data analysis alongside an SR was feasible but adds considerable time and resources to the review process (estimated total hours to complete pilot projects ranged from 283-595 across EPCs), and that the increased effort and resources added limited incremental value. CONCLUSION: Supplementing existing systematic reviews with analyses of EHR data is resource intensive and requires specialized skillsets throughout the process. While using EHR data for research has immense potential to generate real-world evidence and fill knowledge gaps, these data may not yet be ready for routine use alongside systematic reviews.
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There is a strong association between total hip bone mineral density (THBMD) changes after 24 months of treatment and reduced fracture risk. We examined whether changes in THBMD after 12- and 18 months of treatment are also associated with fracture risk reduction. We used individual patient data (n = 122 235 participants) from 22 randomised, placebo-controlled, double-blind trials of osteoporosis medications. We calculated the difference in mean percent change in THBMD (active-placebo) at 12, 18, and 24 months using data available for each trial. We determined the treatment-related fracture reductions for the entire follow-up period, using logistic regression for radiologic vertebral fractures and Cox regression for hip, non-vertebral, "all" (combination of non-vertebral, clinical vertebral, and radiologic vertebral) fractures, and all clinical fractures (combination of non-vertebral and clinical vertebral). We performed meta-regression to estimate the study-level association (r2 and 95% confidence interval) between treatment-related differences in THBMD changes for each BMD measurement interval and fracture risk reduction. The meta-regression revealed that for vertebral fractures, the r2 (95% confidence interval) was 0.59 (0.19, 0.75), 0.69 (0.32, 0.82), and 0.73 (0.33, 0.84) for 12, 18 and 24 months, respectively. Similar patterns were observed for hip: r2 = 0.27 (0.00, 0.54), 0.39 (0.02, 0.63), and 0.41 (0.02, 0.65); non-vertebral: r2 = 0.27 (0.01, 0.52), 0.49 (0.10, 0.69), and 0.53 (0.11, 0.72); all fractures: r2 = 0.44 (0.10, 0.64), 0.63 (0.24, 0.77), and 0.66 (0.25, 0.80); and all clinical fractures: r2 = 0.46 (0.11, 0.65), 0.64 (0.26, 0.78), and 0.71 (0.32, 0.83), for 12-, 18- and 24-month changes in THBMD, respectively. These findings demonstrate that treatment-related THBMD changes at 12, 18 and 24 months are associated with fracture risk reductions across trials. We conclude that BMD measurement intervals as short as 12 months could be used to assess fracture efficacy, but the association is stronger with longer BMD measurement intervals.
In this study, we looked at how changes in hip bone density over time relate to the risk of fractures in people taking osteoporosis medications. We analysed data from over 122 000 participants across 22 different clinical trials. We found that the increase in bone density measured after 12, 18, and 24 months of treatment was linked to the risk of fractures. Specifically, greater improvements in bone density were associated with fewer fractures in the spine, hips, and other bones. Using statistical methods, we calculated the strength of this association. We discovered that the later we measured bone mineral density in people taking the medication, the stronger the link between improved bone density and reduced fracture risk became. Our findings suggest that bone density measurements after 12 months of treatment could help predict how well a medication will prevent fractures. However, the best predictions came from bone density changes measured over longer periods.
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IMPORTANCE: U.S. Army Basic Combat Training (BCT) improves tibial volumetric bone mineral density (BMD) and structure in most, but not all soldiers. Few studies have investigated whether changes in serum bone biomarkers during BCT are associated with changes in tibial BMD and bone structure following BCT. OBJECTIVE: To characterize bone biomarker changes during BCT and to investigate the relationship between changes in bone biomarkers and changes in tibial BMD and bone structure. METHODS: We enrolled 235 trainees entering BCT in this ten-week prospective observational study. Trainees provided fasted blood samples and questionnaires weekly throughout BCT. Procollagen type 1â¯N-terminal propeptide (PINP) and C-terminal telopeptide of type 1 collagen (CTX) were measured by enzyme-linked immunoabsorbent assays every two weeks during BCT. We evaluated body composition and mass via dual-energy X-ray absorptiometry and bone structure, microarchitecture, and mineral density at the distal tibia via high-resolution peripheral quantitative computed tomography at baseline and post-BCT. RESULTS: Both male (nâ¯=â¯110) and female trainees (nâ¯=â¯125) were young (20.9⯱â¯3.7 and 20.7⯱â¯4.3â¯years, respectively), with normal to overweight BMIs (25.2⯱â¯4.1 and 24.2⯱â¯3.6â¯kg/m2, respectively). In female trainees, PINP increased during and post-BCT compared to baseline, with the greatest increase in PINP at week four (45.4â¯%⯱â¯49.6, pâ¯<â¯0.0001), whereas there were no changes in CTX. PINP also increased in male trainees, but only at weeks two and four (21.9â¯%⯱â¯24.5, pâ¯=â¯0.0027 and 35.9â¯%⯱â¯35.8, pâ¯<â¯0.0001, respectively). Unlike female trainees, in males, CTX was lower than baseline at weeks four, eight, and post-BCT. The change in PINP from baseline to week four of BCT was positively associated with changes in tibial BMD, Tb.BMD, Tb.Th, Tb.BV/TV, Ct.Th, Ct.Ar, and Ct.Po from the baseline to post-BCT. CONCLUSION: The bone formation marker PINP increases during U.S. Army BCT, especially during the first four weeks. Increases in PINP, but not CTX, were correlated with improved BMD and bone structure in the distal tibia.
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Chordoma is a rare bone cancer with variable clinical outcomes. Here, we recruited 184 sporadic chordoma patients from the US and Canada and collected their clinical and treatment data. The average age at diagnosis was 45.5 years (Range 5-78) and the chordoma site distribution was 49.2% clivus, 26.2% spinal, and 24.0% sacral. Most patients (97.5%) received surgery as the primary treatment, among whom 85.3% also received additional treatment. Except for the most prevalent cancers like prostate, lung, breast, and skin cancer, there was no discernible enrichment for any specific cancer type among patients or their family members. Among a subset of patients (N = 70) with tumor materials, we conducted omics analyses and obtained targeted panel sequencing and SNP array genotyping data for 51 and 49 patients, respectively. The most recurrent somatic driver mutations included PIK3CA (12%), followed by chromatin remodeling genes PBRM1 and SETD2. Amplification of the 6q27 region, containing the chordoma susceptibility gene TBXT, was detected in eight patients (16.3%). Clival patients appeared to be less likely to carry driver gene mutations, chromosome arm level deletion events (e.g., 5p, 5p, and 9p), or 6q27 amplification compared to sacral patients. After adjusting for age, sex, tumor site, and additional treatment, patients with somatic deletions of 14q (OR = 13.73, 95% CI 1.96-96.02, P = 0.008) and 18p (OR = 13.68, 95% CI 1.77-105.89, P = 0.012) were more likely to have persistent chordoma. The study highlights genomic heterogeneity in chordoma, potentially linked to location and clinical progression.
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Chordoma , Humans , Chordoma/genetics , Chordoma/pathology , Male , Female , Middle Aged , Aged , Adult , Adolescent , Young Adult , Child , Child, Preschool , DNA-Binding Proteins/genetics , Mutation , Class I Phosphatidylinositol 3-Kinases/genetics , T-Box Domain Proteins/genetics , Transcription Factors/genetics , Nuclear Proteins/genetics , Skull Base Neoplasms/genetics , Skull Base Neoplasms/pathology , Spinal Neoplasms/genetics , Spinal Neoplasms/pathology , Canada , Polymorphism, Single Nucleotide , Fetal Proteins , Histone-Lysine N-MethyltransferaseABSTRACT
Background: The objective was to examine patient-reported outcomes (PROs) associated with access to a virtual clinic model for diabetes care. Methods: Adults with diabetes (N = 234) received virtual care, including support for continuous glucose monitoring (CGM) over a 6-month study period. Care was led by a Certified Diabetes Care and Education Specialist and focused on optimizing self-management skills and response to glucose values observed on CGM. After 6 months of CGM use and access to diabetes education, participants could opt in to another 6 months of follow-up with access to the virtual care team. Participants completed PRO surveys and had health and glycemic measures collected at baseline, 3, 6, and 12 months. Results: Participants with type 1 diabetes (N = 160) were 44 ± 14 years and had mean baseline HbA1c of 61 mmol/mol (7.7%). Participants with type 2 diabetes (N = 74) were 52 ± 12 years and had mean baseline HbA1c of 66 mmol/mol (8.2%). Compared with baseline levels, at 6 months participants experienced less depression, diabetes distress, and hypoglycemic fears while also experiencing greater satisfaction with glucose monitoring, diabetes technology and specifically with CGM, and confidence for managing hypoglycemic (p < 0.05). For participants with type 1 diabetes, more time in the target range for glucose levels (70-180 mg/dL) was associated with less depression, diabetes distress, and hypoglycemic fears. Conclusions: PROs improved for adults with diabetes utilizing virtual diabetes care, including support for CGM use. Paired with the glycemic improvements observed in this virtual clinic study, there were robust benefits on the quality of life of adults with diabetes. ClinicalTrials.gov Identifier: NCT04765358.
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High-throughput proteomics has become an exciting field and a potential frontier of modern medicine since the early 2000s. While significant progress has been made in the technical aspects of the field, translating proteomics to clinical applications has been challenging. This review summarizes recent advances in clinical applications of high-throughput proteomics and discusses the associated challenges, advantages, and future directions. We focus on research progress and clinical applications of high-throughput proteomics in breast cancer, bladder cancer, laryngeal squamous cell carcinoma, gastric cancer, colorectal cancer, and coronavirus disease 2019. The future application of high-throughput proteomics will face challenges such as varying protein properties, limitations of statistical modeling, technical and logistical difficulties in data deposition, integration, and harmonization, as well as regulatory requirements for clinical validation and considerations. However, there are several noteworthy advantages of high-throughput proteomics, including the identification of novel global protein networks, the discovery of new proteins, and the synergistic incorporation with other omic data. We look forward to participating in and embracing future advances in high-throughput proteomics, such as proteomics-based single-cell biology and its clinical applications, individualized proteomics, pathology informatics, digital pathology, and deep learning models for high-throughput proteomics. Several new proteomic technologies are noteworthy, including data-independent acquisition mass spectrometry, nanopore-based proteomics, 4-D proteomics, and secondary ion mass spectrometry. In summary, we believe high-throughput proteomics will drastically shift the paradigm of translational research, clinical practice, and public health in the near future.
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Adults with type 1 diabetes (T1D) have increased hip fracture risk, yet no studies have assessed volumetric bone density or structure at the hip in older adults with T1D. Here, we used previously collected 3D CT scans of the proximal femur from older adults with longstanding T1D and non-diabetic controls to identify bone deficits that may contribute to hip fracture in T1D. In this retrospective cohort study, we identified 101 adults with T1D and 181 age-, sex- and race-matched non-diabetic controls (CON) who received abdominal or pelvis CT exams from 2010-2020. Among adults with T1D, 33 (33%) had mild-to-moderate nephropathy, 61 (60%) had neuropathy and 71 (70%) had retinopathy. Within the whole cohort, adults with T1D tended to have lower FN density, though differences did not reach statistical significance. The subset of the T1D group who were diagnosed before age 15 had lower total bone mineral content (-14%, TtBMC), cortical BMC (-19.5%, CtBMC) and smaller Ct cross-sectional area (-12.6, CtCSA) than their matched controls (P<.05 for all). Individuals with T1D who were diagnosed at a later age did not differ from controls in any bone outcome (P>.21). Furthermore, adults with T1D and nephropathy had lower FN aBMD (-10.6%), TtBMC (-17%), CtBMC (-24%) and smaller CtCSA (-15.4%) compared to matched controls (P<.05 for all). Adults with T1D and neuropathy had cortical bone deficits (8.4-12%, P<.04). In summary, among older adults with T1D, those who were diagnosed before age of 15 yrs, those with nephropathy, and those with neuropathy had unfavorable bone outcomes at the FN that may contribute to high hip fracture risk among patients with T1D. These novel observations highlight the longstanding detrimental impact of T1D when present during bone accrual and skeletal fragility as an additional complication of microvascular disease in individuals with T1D.
Older adults with type 1 diabetes (T1D) are at higher risk for hip fractures, but the reasons for this are unclear. In this study, we analyzed existing clinical CT scans of the hip from older adults with longstanding T1D and those without diabetes. While overall bone density differences were not significant, older adults with T1D who were diagnosed before age 15 or had complications like nephropathy or neuropathy showed worse bone outcomes at the femoral neck. These findings suggest that early-onset T1D and related complications contribute to increased hip fracture risk.
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Telehealth is a great tool that makes accessing healthcare easier for those incarcerated and can help with reentry into the the community. Justice impacted individuals face many hardships including adverse health outcomes which can be mitigated through access to telehealth services and providers. During the federally recognized COVID-19 pandemic the need for accessible healthcare was exacerbated and telehealth use surged. While access to telehealth should be considered a necessity, there are many challenges and barriers for justice impacted individuals to be able to utilize this service. This perspective examines aspects of accessibility, pandemic, policy, digital tools, and ethical and social considerations of telehealth in correctional facilities. Carceral facilities should continue to innovate and invest in telehealth to revolutionize healthcare delivery, and improve health outcomes for justice impacted individuals.
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COVID-19 , Health Services Accessibility , Telemedicine , Humans , SARS-CoV-2 , Prisoners , Correctional Facilities , PrisonsABSTRACT
This study explored differences in student-athletes' symptoms of depression, anxiety, and stress pre- to post-COVID-19-pandemic. The WHO reported a 25% increase in depression and anxiety rates worldwide, with young people disproportionately affected. Student-athletes face many stressors related to their sporting and academic feats, but what is not known is how the COVID-19 pandemic affected their experiences of symptoms of mental illness. A multiple-cohort cross-sectional study design was employed, and data collected using physical and online surveys. Participants (cohort 1 M age = 20.18 years, SD = 1.52; cohort 2 M age = 19.75 years, SD = 1.45) were recruited from UK universities (N = 807; 427 pre-pandemic cohort, 380 post-pandemic cohort). Results revealed statistically significant differences in mean depression (F (1, 805) = 23.92, p < 0.001), anxiety (F (1, 806) = 20.15, p < 0.001), and stress symptoms (F (1, 805) = 5.24, p = 0.022) scores between cohorts. Scores for the post-pandemic cohort were significantly higher than pre-pandemic, suggesting a worsening of symptom severity. Distributions of student-athletes across categories of symptom severity also worsened for depressive and anxiety symptoms post-pandemic and were skewed towards more severe categories. Symptoms of depression, anxiety, and stress were a concern pre-pandemic. Rates are higher in the post-pandemic cohort, suggesting a worsening of symptoms. These data add to evidence on student-athletes' symptoms of mental illness by exploring a UK sample and comparing scores pre- and post-pandemic.
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BACKGROUND: Racial health disparities are well documented and pervasive across the United States. Evidence suggests there is a "rural mortality penalty" whereby rural residents experience poorer health outcomes than their urban counterparts. However, whether this penalty is uniform across demographic groups and U.S. regions is unknown. OBJECTIVE: To assess how rural-urban differences in mortality differ by race (Black vs. White), U.S. region, poverty status, and how rural-urban status is measured. METHODS: Age-standardized mortality rates (ASMRs)/100,000 by U.S. county (2015-2019) were obtained by race (Black/White) from the CDC Wonder National Vital Statistics System (2015-2019) and were merged with county-level social determinants from the US Census Bureau and County Health Rankings. Multivariable generalized linear models assessed the associations between rurality (index of relative rurality [IRR] decile, rural-urban continuum codes, and population density) and race-specific ASMR, overall, and by Census region and poverty level. RESULTS: Overall, average ASMR was significantly higher in rural areas than urban areas for both Black (rural ASMR = 949.1 per 100,000 vs. urban ASMR = 857.7 per 100,000) and White (rural ASMR = 903.0 per 100,000 vs. urban ASMR = 791.6 per 100,000) populations. The Black-White difference was substantially higher (p < 0.001) in urban than in rural counties (65.1 per 100,000 vs. 46.1 per 100,000). Black-White differences and patterns in ASMR varied notably by poverty status and U.S. region. CONCLUSION: Policies and interventions designed to reduce racial health disparities should consider and address key contextual factors associated with geographic location, including rural-urban status and socioeconomic status.
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INTRODUCTION: Dancers are expected to navigate major challenges in their careers that might take a toll on their physical and mental health. To address underlying factors that might increase dancers' mental and physical health difficulties, research suggests the systematic use of techniques to build mental skills that can reduce risk factors and enhance protective factors against the challenges dancers encounter. However, existing mental skills training interventions in dance present a lack of consistency in design, content and duration, making it difficult to provide evidence-based recommendations. Hence, dance researchers and practitioners would benefit from a mixed methods systematic review (MMSR) of the why, what and how of these interventions. Adopting tools such as the Template for Intervention Description and Replication (TIDieR) can aid this endeavour by describing replicable aspects of interventions, thus offering dance researchers suggestions on how to understand, appraise and report intervention characteristics and processes in dance. Therefore, this protocol outlines a MMSR that will employ TIDieR to identify and assess characteristics of mental skills interventions in dance. METHODS AND ANALYSIS: A systematic search will be undertaken in Psycinfo, Medline, Embase, Sportdiscus, Web of Science and the first 30 pages of GoogleScholar. Following the search, two reviewers will independently screen identified studies in Covidence. One reviewer will extract data using the TIDieR framework and the Mixed Methods Appraisal Tool (MMAT) for quality appraisal, while a second reviewer will check a sample of extracted studies for accuracy. A convergent integrated synthesis will be conducted where quantitative and qualitative evidence will be integrated by qualitising the quantitative data into textual descriptions. ETHICS AND DISSEMINATION: There is no requirement for ethical approval for this systematic review as no empirical data will be collected. The findings will be disseminated through a peer-reviewed publication in a scientific journal and presentations in several different forums (eg, a dance psychology network, at scientific and applied conferences). PROSPERO REGISTRATION NUMBER: CRD42024537249.
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Dancing , Research Design , Systematic Reviews as Topic , Humans , Mental HealthABSTRACT
CONTEXT: Neuropathy and fracture are prevalent complications of type 1 diabetes (T1D). Although correlated in the clinical literature, it remains unknown whether neuropathy contributes to the initiation of bone loss at the earliest stages of disease. METHODS: We performed a single-center, cross-sectional study to quantify parameters of nerve and bone health in adolescent girls with T1D (n=21) and associated controls (n=12). Groups were well matched for age, height, strength, and physical activity. RESULTS: By HR-pQCT, participants with T1D had lower trabecular bone volume fraction at the distal radius (-14.6%, p-adj=0.095) and the tibia (-12.8%, p-adj=0.017) and decreased trabecular thickness (-8.3% radius, p-adj=0.007; -7.5% tibia, p-adj=0.034) after adjustment for body size. In the tibia only, cortical bone mineral density was increased by 8.6% (p-adj=0.024) and porosity was decreased by 52.9% with T1D (p-adj=0.012). There were no significant differences in bone density by DXA. Participants with T1D also had lower circulating levels of osteocalcin (-30%, p=0.057), and type I collagen cross-linked C-telopeptide (-36%, p=0.035), suggesting low bone formation and turnover in T1D. Based on the Michigan Neuropathy Screening Instrument, 9.5% of those with T1D had clinical evidence of diabetic peripheral neuropathy. However, consideration of neuropathy status failed to explain the widespread T1D-associated changes in bone. CONCLUSION: Our study defines early deficits in trabecular bone microarchitecture, decreased cortical porosity in the tibia, and suppression of biomarkers of bone turnover in adolescent girls with T1D, prior to the onset of symptomatic peripheral neuropathy. These findings inform our understanding of the rapid progression of skeletal disease in young girls with T1D and suggests that early detection and management strategies may help to prevent fracture and related co-morbidities later in life.
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Avian metapneumovirus (aMPV) poses a significant threat to the poultry industry worldwide, primarily affecting turkeys and chickens. The recent detection of aMPV-A and -B subtypes in the United States marks a significant shift after a prolonged period free of aMPV following the eradication of the previously circulating subtype C. Hence, the demand for molecular diagnostic tests for aMPV has arisen due to their limited availability in the US market. In this study, we present the molecular characterization based on the complete genome sequence of aMPV subtype A, which was detected in the US for the first time. Four RT-qPCR positive samples were subjected to next-generation sequencing analysis, resulting in the assembly of one complete and one near-complete genome sequences. Phylogenetic analysis revealed that the isolated strains clustered within the aMPV-A subtype and were most closely related to recent Mexican strains. A detailed amino acid analysis identified unique mutations in the G gene of the US isolates compared to Mexican strains. Additionally, we compared the performance, cross-reactivity, and limit of detection of our revised aMPV subtype-specific RT-qPCR test with two commercial kits, demonstrating similar detection and subtyping capabilities. These findings highlight the importance of accurate diagnostic methods for disease management in the poultry industry, provide valuable insights into the epidemiology of aMPV, and underscore the need for continued vigilance and surveillance to mitigate its impact on poultry production.
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BACKGROUND: Computed tomography (CT) captures the quantity, density, and distribution of subcutaneous and visceral (SAT and VAT) adipose tissue compartments. These metrics may change with age and sex. OBJECTIVE: The study aims to provide age-, sex-, and vertebral level-specific reference values for SAT on chest CT and for SAT and VAT on abdomen CT. MATERIALS AND METHODS: This secondary analysis of an observational study describes SAT and VAT measurements in participants of the Framingham Heart Study without known cancer diagnosis who underwent at least 1 of 2 CT examinations between 2002 and 2011. We used a previously validated machine learning-assisted pipeline and rigorous quality assurance to segment SAT at the fifth, eighth, and tenth thoracic vertebra (T5, T8, T10) and SAT and VAT at the third lumbar vertebra (L3). For each metric, we measured cross-sectional area (cm2) and mean attenuation (Hounsfield units [HU]) and calculated index (area/height2) (cm2/m2) and gauge (attenuation × index) (HU × cm2/m2). We summarized body composition metrics by age and sex and modeled sex-, age-, and vertebral level-specific reference curves. RESULTS: We included 14,898 single-level measurements from up to 4 vertebral levels of 3797 scans of 3730 Framingham Heart Study participants (1889 [51%] male with a mean [standard deviation] age of 55.6 ± 10.6 years; range, 38-81 years). The mean VAT index increased with age from 65 (cm2/m2) in males and 29 (cm2/m2) in females in the <45-year-old age group to 99 (cm2/m2) in males and 60 (cm2/m2) in females in >75-year-old age group. The increase of SAT with age was less pronounced, resulting in the VAT/SAT ratio increasing with age. A free R package and online interactive visual web interface allow access to reference values. CONCLUSIONS: This study establishes age-, sex-, and vertebral level-specific reference values for CT-assessed SAT at vertebral levels T5, T8, T10, and L3 and VAT at vertebral level L3.
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BACKGROUND: The United States (U.S.) has a growing population of Brazilian immigrant women. However, limited research has explored Pap tests and human papillomavirus (HPV) vaccination among this population. METHODS: Participants completed an online survey between July-August 2020. Bivariate analyses examined associations between healthcare-related variables (e.g., insurance, having a primary care provider) and demographics (e.g., age, education, income, marital status, years living in the U.S., primary language spoken at home) with 1) Pap test recency (within the past 3 years) and 2) HPV vaccination (0 doses vs. 1 + doses). Variables significant at p < 0.10 in bivariate analyses were included in multivariable logistic regression models examining Pap test recency and HPV vaccination. RESULTS: The study found that 83.7% of the sample had a Pap test in the past three years. Women who did not know their household income were less likely to be than women who reported a household income of < $25,000 (adjusted OR [aOR] = 0.34, 95% CI: 0.12, 0.95). Women who had seen a healthcare provider in the past year were more likely to have had a Pap test within the last three years than those who had not seen a provider in the past year ([aOR] = 2.43, 95% CI: 1.32, 4.47). Regarding HPV vaccination, 30.3% of respondents reported receiving one or more doses of the HPV vaccine. The multivariable logic regression models determined that women aged 27 -45 (aOR = 0.35, 95% CI: 0.18, 0.67) were less likely than women aged 18-26 to have been vaccinated against HPV). and that women with a PCP were more likely to be vaccinated than those without a PCP (aOR = 2.47. 95% CI:1.30, 4.59). CONCLUSION: This study found that Brazilian immigrant women in the youngest age groups (21 - 29) for Pap test, 18- 26 for HPV vaccination) had somewhat better rates of Pap screening and HPV vaccination than the general U.S. POPULATION: This study adds new information about cervical cancer prevention and control behaviors among Brazilian immigrant women.
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Emigrants and Immigrants , Papanicolaou Test , Papillomavirus Infections , Papillomavirus Vaccines , Humans , Female , Adult , Cross-Sectional Studies , Papillomavirus Vaccines/administration & dosage , United States , Brazil , Emigrants and Immigrants/statistics & numerical data , Papanicolaou Test/statistics & numerical data , Papillomavirus Infections/prevention & control , Young Adult , Middle Aged , Adolescent , Uterine Cervical Neoplasms/prevention & control , Surveys and Questionnaires , Vaccination/statistics & numerical dataABSTRACT
Affect-biased attention is the phenomenon of prioritizing attention to emotionally salient stimuli and away from goal-directed stimuli. It is thought that affect-biased attention to emotional stimuli is a driving factor in the development of depression. This effect has been well-studied in adults, but research shows that this is also true during adolescence, when the severity of depressive symptoms are correlated with the magnitude of affect-biased attention to negative emotional stimuli. Prior studies have shown that trainings to modify affect-biased attention may ameliorate depression in adults, but this research has also been stymied by concerns about reliability and replicability. This study describes a clinical application of augmented reality-guided EEG-based attention modification ("AttentionCARE") for adolescents who are at highest risk for future depressive disorders (i.e., daughters of depressed mothers). Our results (n = 10) indicated that the AttentionCARE protocol can reliably and accurately provide neurofeedback about adolescent attention to negative emotional distractors that detract from attention to a primary task. Through several within and cross-study replications, our work addresses concerns about the lack of reliability and reproducibility in brain-computer interface applications, offering insights for future interventions to modify affect-biased attention in high-risk adolescents.
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Importance: Cutaneous squamous cell carcinoma (CSCC) is the second most common malignant disease in the US. Although it typically carries a good prognosis, a subset of CSCCs are highly aggressive, carrying regional and distant metastatic potential. Due to its high incidence, this aggressive subset is responsible for considerable mortality, with an overall annual mortality estimated to equal or even surpass melanoma. Despite this morbidity, CSCC is excluded from national cancer registries, making it difficult to study its epidemiology and outcomes. Therefore, the bulk of the CSCC literature is composed of single-center and multi-institutional retrospective cohort analyses. Given variations in reporting measures and analyses in these studies, interpretability between studies and the ability to pool results are limited. Objective: To define standardized reporting measures for retrospective CSCC studies. Findings: An expert panel was convened to determine standardized guidelines for recording and analyzing retrospective CSCC data. A total of 13 dermatologists and dermatologic surgeons with more than 5 years of posttraining experience and considerable experience with performing CSCC outcomes research were recruited to the panel. Consensus recommendations were achieved for CSCC retrospective study reporting measures, definitions, and analyses. Conclusions and Relevance: The recommendations in this report present the potential to standardize future CSCC retrospective studies. With such standardization, future work may have greater interstudy interpretability and allow for pooled analyses.