bluuebunny/crossref_metadata_2025_split huggingface dataset:
New approach to identifying elite winter sport athletes’ risk of relative energy deficiency in sport (REDs)
Authors: Smith Emily M , Drager Kelly , Groves Erik M , Gabel Leigh , Boyd Steven K , Burt Lauren A 
Published: January 2025

ObjectivesRelative energy deficiency in sport (REDs) is a syndrome resulting from problematic low energy availability (LEA). Low areal bone mineral density (aBMD) is a primary indicator of LEA, measured by dual X-ray absorptiometry (DXA). High-resolution peripheral quantitative CT (HR-pQCT) is an advanced imaging device that provides measures of volumetric BMD (vBMD), bone microarchitecture, geometry and strength. This study aimed to assess the prevalence of REDs in elite winter sport athletes and to observe the associations in bone parameters using HR-pQCT in athletes identified as at-risk or not at-risk of REDs.MethodsParticipants included 101 elite athletes (24.1±4.4 SD years; 52% female). The REDs Clinical Assessment Tool (CAT2) was used to determine REDs risk. HR-pQCT scans of the non-dominant radius and left tibia were analysed on REDs risk grouping.Results17 athletes (17%; 71% female) were at-risk based on the REDs CAT2. After covarying for lean mass, OR suggested a higher likelihood of REDs risk classification for athletes with low cortical thickness, cortical area, total vBMD and bone strength.ConclusionsImpaired total vBMD, bone strength and cortical bone parameters were approximately twice as likely (OR: 1.9–3.0) in athletes at-risk of REDs. Results agree with the consensus statement that HR-pQCT may identify impaired bone health in athletes at-risk of REDs. Future directions should use HR-pQCT to explore REDs risk longitudinally, using bone change over time, as this may provide greater insight. Using advanced imaging to explore REDs risk in a population of winter high-performance athletes is novel.
Cessation and knowledge-building messaging are associated with e-cigarette cessation intentions among youth and young adults in the USA
Authors: Yu Linda Q , Do Elizabeth K , Minter Tyler , Koris Kristiann , Khatib Bushraa , Jacobs Megan A , Graham Amanda L , Hair Elizabeth C 
Published: January 2025

BackgroundIncreasing intentions to quit e-cigarettes among youth and young adults can reduce usage rates by making quit attempts more likely. This study assessed the potential impacts of a national media campaign, focused on building knowledge of e-cigarette use risks and cessation resources, on intentions to quit and campaign-targeted beliefs about mental health and quitting.MethodsA national sample from a repeated cross-sectional online survey was collected from March 2022 to August 2023, among youth and young adults who reported e-cigarette use in the past 30 days (N=5169). Regression models were used to assess associations between weekly campaign awareness and frequency of exposure on intentions to quit e-cigarette use within the next 6 months and targeted beliefs related to mental health and quitting.ResultsParticipants who were aware of both cessation and knowledge-building messaging were more likely to report intentions to quit e-cigarette use in the next 6 months (OR 1.43, (95% CI 1.21, 1.69)) and agree with quitting-related targeted beliefs (ORs 1.35–1.63) and a mental health targeted belief scale (b=1.14 (95% CI 0.69, 1.59)), relative those with no messaging awareness. The frequency of exposure to cessation messaging held a dose-response relationship with almost all outcomes.ConclusionFindings suggest that frequency and awareness of messaging that educates about e-cigarette harms to mental health and about cessation resources are associated with higher quitting intentions among young people who use e-cigarettes.
Scoto-seesaw model implied by flavor-dependent Abelian gauge charge
Authors: Van Loi Duong , Duy N. T. , Nam Cao H. , Van Dong Phung 
Published: January 2025

Abstract
Assuming fundamental fermions possess a new Abelian gauge charge that depends on flavors of both quark and lepton, we obtain a simple extension of the Standard Model, which reveals some new physics insights. The new gauge charge anomaly cancellation not only explains the existence of just three fermion generations as observed but also requires the presence of a unique right-handed neutrino

$$\nu _R$$

ν
R

with a non-zero new gauge charge. Further, the new gauge charge breaking supplies a residual matter parity, under which the fundamental fermions and

$$\nu _R$$

ν
R

are even, whereas a right-handed neutrino

$$N_R$$

N
R

without the new charge is odd. Consequently, light neutrino masses in our model are generated from the tree-level type-I seesaw mechanism induced by

$$\nu _R$$

ν
R

and from the one-loop scotogenic contribution accommodated by potential dark matter candidates,

$$N_R$$

N
R

and dark scalars, odd under the matter parity. We examine new physics phenomena related to the additional gauge boson, which could be observed at colliders. We analyze the constraints imposed on our model by current experimental limits on neutrino masses, neutral meson oscillations, B-meson decays, and charged lepton flavor violating processes. We also investigate the potential dark matter candidates by considering relic density and direct detection.
Inference for Parameters Identified by Conditional Moment Restrictions Using a Generalized Bierens Maximum Statistic
Authors: Chen Xiaohong , Lee Sokbae , Seo Myung Hwan , Song Myunghyun 
Published: January 2025

Abstract
Many economic panel and dynamic models, such as rational behavior and Euler equations, imply that the parameters of interest are identified by conditional moment restrictions. We introduce a novel inference method without any prior information about which conditioning instruments are weak or irrelevant. Building on Bierens (1990), we propose penalized maximum statistics and combine bootstrap inference with model selection. Our method optimizes asymptotic power by solving a data-dependent max-min problem for tuning parameter selection. Extensive Monte Carlo experiments, based on an empirical example, demonstrate the extent to which our inference procedure is superior to those available in the literature. [C12, C36].
Heterogeneous Preferences for Neighborhood Amenities: Evidence from GPS Data
Authors: Cook Cody 
Published: January 2025

Abstract
How do preferences for neighborhood amenities vary by income? Using data on over 100 million visits to 1.4 million establishments, I estimate a discrete choice model of demand for restaurants, shops, personal services, and entertainment places. While preferences for specific establishments often vary by income, preferences for neighborhoods' overall amenity access are highly aligned. The primary determinant is density: dense urban areas have sufficient variety to offer broad appeal. For incumbents of gentrifying neighborhoods, tailoring amenities to higher-income entrants has only modest welfare effects relative to the effects of potential displacement to cheaper neighborhoods with worse access to amenities.
Finitely Heterogeneous Treatment Effect in Event-study
Authors: Shin Myungkou 
Published: January 2025

Abstract
A key assumption of the differences-in-differences designs is that the average evolution of untreated potential outcomes is the same across different treatment cohorts: parallel trend assumption. In this paper, we relax the parallel trend assumption by assuming a latent type variable and developing a type-specific parallel trend. With a finite support assumption on the latent type and long pretreatment time periods, an extremum classifier consistently estimates the type assignment. Based on the classification, we propose a type-specific DiD estimator for type-specific ATT. By estimating the type-specific ATT, we study heterogeneity in treatment effect, in addition to heterogeneity in baseline outcomes.
Self-, Peer-, and Teacher Perceptions Under School Tracking
Authors: Malamud Ofer , Mitrut Andreea , Pop-Eleches Cristian , Urquiola Miguel 
Published: January 2025

Abstract
We examine student, teacher, and peer perceptions of effort, ability, performance, and self-confidence in Romania's highly tracked schools. We find that: (1) students just above a cutoff—tracked into high-achieving classes—have less favorable self-perceptions than those just below (“big-fish-little-pond” effects); (2) students perceive peers in their classes more favorably (“in-group bias”); (3) this bias is stronger in lower-achieving classes; (4) students perceive themselves more positively than others perceive them (“illusory superiority”); (5) this bias is stronger among lower-achieving students (“Krueger-Dunning effects”). In short, being tracked into lower-achieving classes does not appear to negatively affect self-perceptions.
Can Educational Outreach Improve Experts' Decision Making? Evidence from a National Opioid Academic Detailing Program
Authors: Zhang Jonathan 
Published: January 2025

Abstract
Healthcare providers often deviate from guidelines, leading to worse outcomes. I study the impact of academic detailing (also known as educational outreach) to primary care teams on safer pain management, risk evaluation, harm reduction, and opioid use disorder treatment. Using data from over 5 million patients, I find detailing improves provider behavior: it increases naloxone prescribing, prescription drug monitoring queries, and reduces opioid prescriptions for three years. Patients have fewer emergency visits and hospitalizations for overdoses, suicides, and accidents, especially heavy opioid users. Importantly, pain scores remain stable despite reduced opioid use, highlighting detailing's role in fostering safer, effective care.
Wealth Taxation and Charitable Giving
Authors: Ring Marius A. K. , Thoresen Thor O. 
Published: January 2025

Abstract
We use third-party reported data and two quasi-experiments from Norway to study how tax incentives affect charitable giving. First, using a shock to wealth tax exposure, we estimate the semi-elasticity of giving with respect to the after-tax return on wealth. Inconsistent with the notion that households accelerate giving to reduce future taxes, we find that a 1% wealth tax reduces giving by 26%. Second, using bunching at an income-tax deduction threshold, we estimate a moderate own-price elasticity of giving of -0.44. This elasticity exhibits little heterogeneity with respect to income and wealth but is considerably larger for religious giving.
Improving Medication Adherence in Psychiatric Patients With a Medication Adherence Program
Authors: Peterson Whitney 
Published: January 2025

Background: It’s estimated that over 50% of patients prescribed antipsychotic medication are nonadherent to the prescribed treatment. Medication nonadherence impedes the patient’s safety, leads to relapse, and the need for rehospitalization. Thus bolstering the importance of routine nursing follow-up interventions to improve adherence rates in patient with SMI. Aims: The purpose of this research is to address the significant impact that medication nonadherence has on patients with serious mental illness (SMI) and the positive impact that telephonic medication adherence programs have on improving patient outcomes through enhanced medication adherence. Methods: The literature was examined from the past 5 years (2016–2021) on the use of telephonic follow-up interventions to improve medication adherence in patients with psychiatric disorders and other chronic diseases at risk for mental illness. Databases (PubMed, CINAHL, ProQuest, and the Cochrane Library) were used. The inclusion criteria focused on psychiatric disorders, telephone calls to improve medication adherence, and the use of questionnaires to determine adherence. Results: The implementation of telephonic follow-up after discharge has proven to be an effective strategy to promote medication adherence in patients with mental illness and to provide additional support (emotional, side effect management, appointment reminders, and activity involvement) to improve the patient’s well-being. Conclusions: Telephonic follow-up is an effective strategy to improve medication adherence in patients with SMI and other chronic diseases as a short-term intervention (less than 24 months). Further research is needed on the benefits of telephonic follow-up as a long-term intervention (beyond 24 months).
Associations Between Diabetes Knowledge, the Prevalence of Diet-Related Chronic Conditions, and Dietary Behavior Among Hispanic/Latino Farm Workers with Type 2 Diabetes in the Salinas Valley, California, USA
Authors: Rodriguez Elizabeth , Klobodu Seth Selorm , Silliman Kathryn , Skarbek Anita , Figueroa Roger 
Published: January 2025

Introduction Studies on diabetes prevalence among U.S. farmworkers indicate prevalence ranging from 9.3% in California to 16.1% in Arizona, with 39.9% of the California cases previously undiagnosed. Hispanic/Latino farmworkers in California face unique barriers that place them at high risk for undiagnosed and poorly controlled Type 2 diabetes (T2D). Despite this, limited research has been conducted to assess their T2D knowledge. Methods This cross-sectional survey tests associations between diabetes knowledge, prevalence of concurrent chronic health conditions, and dietary behavior. Participants (n = 118) were recruited using unstructured and snowball sampling approaches. Results On average, diabetes knowledge among participants who use insulin was considered low with a score of 9.57/20 (48% correct) and 9.15/18 (51% correct) for participants who do not use insulin. It was found that health insurance status (p = 0.015) and general education level (p = 0.001) were predictors of diabetes knowledge. Hypertension was the most prevalent chronic health condition among study participants (n = 61) and no significant correlation was found between diabetes knowledge and prevalence of a chronic health condition or dietary behavior. Conclusion Findings suggest that insurance status and general education attainment may influence diabetes knowledge among Hispanic/Latino farmworkers.
Effects of Personalized DiaBetes TEXT Messaging Combined with Peer Support Education on Patients With Type 2 Diabetes: A Randomized Controlled Trial
Authors: Romadlon Debby Syahru , Huang Hui-Chuan , Chen Yu-Chi , Hu Sophia H , Kurniawan Rudy , Tarigan Tri Juli Edi , Al Baqi Safiruddin , Hasan Faizul , Chiu Hsiao-Yean 
Published: January 2025

Background: To investigate the effects of personalized DiaBetes TEXT messaging combined with Peer Support Education (DB-TEXT+ PSE) on clinical outcomes in patients with type 2 diabetes. Methods: An assessor-blinded, three-arm randomized controlled trial recruited 84 participants between December 2022 and July 2023. Participants were randomly assigned to a DB-TEXT + PSE group, a DB-TEXT group, or a professional education program (PEP) group. Primary outcomes included glycated hemoglobin (HbA1c), fasting blood glucose (FBG) levels, and clinical remission rates, whereas secondary outcomes measured lipid profiles, fatigue, sleep quality, depression, and quality of life (QoL). Outcomes were assessed at baseline (T0), three months (T1), and six months (T2) postintervention. Results: Relative to PEP, personalized DB-TEXT + PSE and DB-TEXT alone led to significantly reduced HbA1c levels at T1 and decreased FBG levels at T1 and T2. Type 2 diabetes remission was achieved by 35.7% and 50% of the participants in the DB-TEXT + PSE group, by 17.9% and 25% in the DB-TEXT group, and by 3.7% and 3.7% in the PEP group at T1 and T2, respectively. Relative to the PEP, DB-TEXT + PSE led to significantly reduced TC levels, diastolic blood pressure (DBP), and systolic blood pressure (SBP) and improved sleep quality and QoL over time. Conclusions: Personalized DB-TEXT + PSE is more effective at enhancing clinical outcomes, reducing fatigue, improving sleep quality, and improving quality of life in patients with type 2 diabetes than DB-TEXT alone and PEPs are. Educators can incorporate personalized DB-TEXT + PSE as a component of diabetes education programs and thereby integrate digital interventions and supplementary programs.
Complication Rates Following Endoscopic Sinus Surgery for Chronic Sinusitis
Authors: Dhamija Ravi , Das Nikita , Ding Peng 
Published: January 2025

Background Endoscopic sinus surgery (ESS) is a minimally invasive procedure indicated for medically refractory chronic sinusitis (CRS). As with any surgical procedure, there are potential risks and complications. Objective The purpose of this study is to report skull base, orbital, and hemorrhagic-associated complication rates following ESS. Methods A retrospective query on the TriNetX platform identified patients diagnosed with CRS who subsequently underwent ESS in the last 20 years. Outcomes analyses were performed to determine the incidence of skull base (cerebrospinal fluid rhinorrhea, bacterial meningitis, dural tear), orbital (diplopia, optic nerve injury, blindness, epiphora, orbital hemorrhage, canthotomy/canthoplasty), and hemorrhagic (epistaxis, carotid artery injury, blood transfusion) complications within 30 days postoperatively. Kaplan-Meier Analysis estimated survival probability from each complication type. Outcome rates were also compared between female and male patients. Results A total of 116 669 patients from 55 healthcare organizations fit the study criteria. The average age at surgery was 47.9 ± 17.9 years. The gender distribution of the cohort was 50% female and 48% male. The risk of skull base, orbital, and hemorrhagic complications within 30 days of the surgery was found to be 0.212%, 0.741%, and 3.00%, respectively. Kaplan-Meier Analysis revealed that survival probability from each complication type was 99.783%, 99.260%, and 96.903%, respectively. Comparison of outcome risks stratified by gender revealed no major differences for skull base and orbital complications; however, males exhibited a significantly higher risk of hemorrhagic complications (3.2% vs 2.8%, P < .0001). Conclusions The study supports ESS as a safe procedure for the management of CRS. Though rare, hemorrhagic complications are more common than orbital and skull base complications. Hemorrhagic complications are also more common in men than women. These findings provide insights for counseling patients about ESS risks and benefits.
Texture Analysis of Cartilage Repair Tissue Maturation: Comparison of Two Cartilage Repair Methods and Correlation with MOCART 2.0
Authors: Janacova Veronika , Szomolanyi Pavol , Sitarcikova Diana , Kirner Alexandra , Trattnig Siegfried , Juras Vladimir 
Published: January 2025

Objective The objective of this study was to assess the maturation of matrix-associated autologous chondrocyte transplantation (MACT) grafts up to 2 years after the surgery using gray-level co-occurrence matrix (GLCM) texture analysis of quantitative T2 maps, compare the results with the microfracturing technique (MFX) control group, and relate these results to the morphological MOCART 2.0 score. Design A subcohort of 37 patients from prospective, multi-center study underwent examination on a 3T MR scanner, including a T2 mapping sequence at 3, 12, and 24 months after surgery. Changes between the time-points in the mean T2 values and 20 GLCM features extracted from T2 maps were assessed in repair tissue, tissue adjacent to the repair site, and the reference cartilage for both procedures. Results Significant correlations were found between the MOCART 2.0 and GLCM features for both surgical procedures. There were no significant differences between MACT and MFX. We identified significant intra-group changes in T2 and autocorrelation (3M-12M: P = 0.002; 3M-24M: P = 0.004), dissimilarity (3M-24M: P = 0.01), homogeneity (3M-24M: P = 0.013), and correlation (3M-24M: P = 0.036), sum average (3M-12M: P = 0.001; 3M-24M: P = 0.002), and information measure (3M-24M: P < 0.001) in the MACT repair tissue. MACT models revealed differences in GLCM between all combinations of ROI types at almost all time-points. In the case of MFX, the significant differences were mainly between repair and reference tissue at 12 months. Conclusion Texture analysis provides a useful extension to T2 mapping. Texture features are correlated to the morphological outcome and reveal differences in the process of maturation between MACT and MFX.
Effect of Rheumatoid Arthritis on Postoperative Outcomes in Patients with Lumbar Spinal Disorders: A Systematic Review and Meta-Analysis
Authors: Honda Shintaro , Murata Koichi , Sakamoto Masaki , Shiroshita Akihiro , Saka Natsumi , Otsuki Bungo , Shimizu Takayoshi , Sono Takashi , Masuda Soichiro , Shima Koichiro , Matsuda Shuichi 
Published: January 2025

Study Design A systematic review and meta-analysis. Objective This study aimed to determine whether rheumatoid arthritis (RA) is associated with clinical outcomes following spinal surgery for lumbar spinal disorders. Methods MEDLINE, Embase, the Cochrane Library, and the International Clinical Trials Registry Platform were comprehensively searched for observational studies comparing clinical outcomes after lumbar spine surgery in patients with and without RA (>18 years). Quality assessment was conducted using the Quality in Prognosis Studies assessment tool. Pooled odds ratios (ORs) and hazard ratios were calculated for reoperation and surgical site infection by using a random effects model. Subgroup analyses were conducted to examine the effect of surgery type. Results Seven studies with 72,969 patients, including 7518 patients with RA, were analyzed. All studies had a moderate risk of bias. Patients with RA had a significantly higher odds of reoperation (OR: 5.57; 95% confidence interval [CI]: 1.10-28.26; I2 = 92%; P = 0.04) and higher odds of surgical site infection (OR: 1.47; 95% CI: 1.28-1.69; I2 = 2%; P < 0.01). No statistically significant difference was found in reoperation-free survival between patients with RA and those without RA (hazard ratio: 1.15; 95% CI: 0.94-1.40; I2 = 100%; P = 0.16). Patients with RA had higher complication rates, with incidence rates ranging from 13.5% to 57%, compared with those without RA. Conclusion Compared with patients without RA, patients with RA may be more likely to undergo reoperations and suffer from complications following surgery for lumbar spine lesions.
Making waves: How to improve scholarly impact performance through stakeholder engagement
Authors: Aguinis Herman , Gibson Bria C. 
Published: January 2025

Most scholarly impact measures focus exclusively on an essential but single group of stakeholders: other researchers. However, business research aims to benefit not only other researchers (i.e., internal) but also additional (i.e., external) stakeholders. Accordingly, we offer an expanded multidimensional and multistakeholder conceptualization of scholarly impact that includes the following dimensions and their stakeholders: (1) personal (i.e., individual researchers), (2) theory and research (i.e., other researchers), (3) educational (i.e., students, parent institutions, and university community), (4) organizational (i.e., practitioners including managers, consultants, and industry), (5) societal (i.e., media, policymakers, governments, and nongovernmental organizations), and (6) global (i.e., international institutions). We also describe scholarly impact measures across these dimensions and stakeholders. Then, we extend the capacity, opportunity, and relevant exchanges (CORE) performance model to describe the construct of scholarly impact performance (SIP) and provide actionable recommendations that individuals and organizations can implement to enhance SIP across institutional contexts (i.e., research-intensive, teaching-oriented, and those in emerging countries). In sum, we offer a broader conceptualization of scholarly impact, measures, and recommendations for incentivizing and enhancing SIP. JEL Classification: A10, A13, D02, D21, F60, I20, I23, I26, L2