Multidimensional Scaling Research Articles

Spatial variations in the microbiota: comparative analysis of microbial composition and predicted functions across different intestinal segments and feces in donkeys

Donkeys, as single-stomach herbivores, have a complex and diverse microbial community in their digestive tracts. The intestinal bacterial community is crucial for maintaining intestinal homeostasis, as well as the host’s overall nutrition and health. However, research on donkey gut microbes is relatively limited, particularly regarding the microbial colonization patterns in different intestinal segments of adult donkeys. Therefore, this study examined the abundance and function of microbiota across various sites of the intestinal tract (duodenum, jejunum, ileum, cecum, colon) and feces of healthy adult Dezhou male donkeys using 16S rRNA gene sequencing and PICRUSt analysis. The results indicate that donkeys have a rich gut microbial diversity and a large microbial population. No significant differences in the indices of alpha diversity were observed among the donkey’s duodenum, jejunum, ileum, cecum, colon, and feces. A Venn diagram analysis revealed the presence of both unique (Duodenum: 4645; Jejunum: 3586; Ileum: 4904; Cecum: 4253; Colon: 6135; Feces: 4885) and shared (339) ASVs among the different sections. A principal coordinate analysis (PCoA) revealed significant differences (R2 = 0.2076, p < 0.007) across the six intestinal segments of the donkeys. At the phylum level, Firmicutes (63.64%), Bacteroidetes (20.72%), Verrucomicrobiota (9.16%), Patescibacteria (1.95%), Spirochaetota (1.87%), Actinobacteriota (1.13%), and Proteobacteria (0.42%) were the dominant bacteria in all samples. The Wilcoxon rank-sum test revealed significant differences in the proportions of genera among different intestinal segments. Specific genera were significantly enriched in various segments: Lachnospiraceae_UCG-008 and Sphaerochaeta in the duodenum; Christensenellaceae_R-7_group and Bacillus in the jejunum; NK4A214_group and Alloprevotella in the ileum; UCG-005 and Lactobacillus in the cecum; Clostridium_sensu_stricto_1 and Chlamydia in the colon; and Rikenellaceae_RC9_gut_group and Prevotellaceae_UCG-004 in the feces. A PICRUSt2 functional prediction analysis indicated that carbohydrate metabolism, prokaryotic cellular communities, antimicrobial drug resistance, immune diseases, membrane transport, signal transduction, and transcription exhibited significant differences among the different intestinal segments. This study provided critical primary data on the differences in donkey gut microbiota and the synergistic effects between gut microbiota and host functions. These findings can be used to assess donkey health status, improve breeding, and develop microbial additives.

Digital Frequency Customized Relieving Sound for Chronic Subjective Tinnitus Management: Prospective Controlled Study.

Tinnitus is a major health issue, but currently no tinnitus elimination treatments exist for chronic subjective tinnitus. Acoustic therapy, especially personalized acoustic therapy, plays an increasingly important role in tinnitus treatment. With the application of smartphones, personalized acoustic stimulation combined with smartphone apps will be more conducive to the individualized treatment and management of patients with tinnitus. The aim of this study was to evaluate the efficacy of a new personalized approach known as the digital frequency customized relieving sound (DFCRS) for tinnitus treatment and to explore the factors that may influence its therapeutic effect. Patients with subjective tinnitus were enrolled in this study from July 14, 2020, to May 24, 2021, in the tinnitus specialist clinic of Eye and ENT Hospital, Fudan University, Shanghai, China. In this nonrandomized concurrent controlled trial, a total of 107 participants were assigned to listen to personalized DFCRS through our developed app, while the other 77 participants who did not want to download and use the app were assigned to listen to unmodified music (UM). All the recruits were instructed to listen to DFCRS or UM for at least 2 hours a day and complete follow-up assessments at baseline, 1, 2, and 3 months. Multidimensional assessment scales, that is, Tinnitus Handicapped Inventory (THI), Hospital Anxiety and Depression Scale (HADS), Athens Insomnia Scale (AIS), Fear of Tinnitus Questionnaire (FTQ), and Tinnitus Catastrophizing Scale (TCS) were used to evaluate the severity of tinnitus and the quality of life. Linear mixed models were used to test for changes in the THI scores across 3 months of acoustic treatment between group (DFCRS or UM treatment) and time. A multiclass logistic model was built with a stepwise function to determine the influence of the different covariates on the effects of acoustic treatment. The results of the multidimensional assessment scales after 3 months of treatment showed that DFCRS-treated patients had significant tinnitus relief compared to those in the UM group. Linear mixed models revealed a significant reduction in the THI scores over time (P<.001), with the DFCRS group showing significantly greater improvement than the UM group (P<.001). At 3 months, 92.5% (99/107) of the patients undergoing DFCRS reported tinnitus relief or disappearance, and longer daily treatment time was associated with better outcomes (P=.007). Multiclass logistic regression confirmed that longer treatment time (odds ratio [OR] 13.07-64.78; P<.001) and more severe tinnitus at baseline (OR 10.46-83.71; P<.001) predicted better treatment response. All secondary outcomes (HADS, AIS, FTQ, TCS) showed significant improvements over time (P<.001). Our study suggests that DFCRS is a new promising and noninvasive therapy for chronic tinnitus, and it can be delivered through a mobile app to bring more convenience to patients with tinnitus.

Composition of pelagic fish in commercial landings of the longline fishery in the Costa Rica Pacific during 2015-2021

Longline fishing in the Pacific of Costa Rica targets multiple species of large pelagic fishes and faces challenges in assessment due to lack of data. This study analyzes landing data of pelagic fish in this fishery using unconventional statistical methods, to better understand the dynamics and provide recommendations for improving data collection and analysis. Landing data reported during 2015-2021 were examined. A descriptive and comparative analysis of landings was conducted using Spearman correlation tests and Non-Metric Multidimensional Scaling (NMDS) to visualize patterns in catch composition. Permutational Multivariate Analysis of Variance (PERMANOVA) and Similarity Percentage Analysis (SIMPER) were employed to identify significant differences between fleet types, landing ports, months, and years, as well as species contribution to these differences. The annual mean total landing of large pelagic fish was 7531.01 tons, with 39.14% corresponding to sharks, 24.34% to billfish (Istiophoridae and Xiphiidae), 18.05% to mahi-mahi, and 14.94% to tuna. Statistically significant differences were found between fleet types, landing ports, months, and years. Shark landings were the least correlated (rho=0.36) and had the greatest influence on variation by fleet type. An increase in the similarity of catch composition by port since 2015 was observed. In addition, a shift towards increasingly less selective fishing over the study period was evident. Our findings highlight the urgent need for advanced research methodologies to address gaps in data collection for commercial fisheries in Costa Rica. Improving these methods is crucial to ensure that management policies are based on accurate and comprehensive information. Results highlight the need for a comprehensive strategy involving diverse stakeholders to improve our understanding and ensure the sustainability of fisheries and the preservation of marine ecosystems in Costa Rica.

Integrated Genetic Diversity and Multi-Omics Analysis of Colour Formation in Safflower

Safflower (Carthamus tinctorius L.) is a medicinal and edible cash crop that is widely cultivated worldwide. However, the genetic diversity of safflower germplasm resources and the reasons for the variations in safflower flower colour remain unclear. In this study, we used a combination of agronomic traits and Indel markers to assess the genetic diversity of 614 safflower germplasm resources. The results showed that most of the evaluated agronomic traits had high variability. The mean values of the Shannon’s information index (I) and polymorphism information content (PIC) in 50 pairs of Indel markers were 0.551 and 0.296, respectively. The population structure, neighbour-joining phylogeny, and principal coordinate analyses classified all genotypes into four subgroups, and 214 safflower core germplasms were constructed. Multiple analyses of genetic diversity parameters, range conformity, and the percentage of variance difference showed that the core germplasm did not differ significantly and could represent the original germplasm better. Transcriptome and metabolome analyses revealed that flavonoid synthesis-related genes, including CHS, F3H, ANS, and BZ1, were differentially expressed in different coloured safflowers. Most significantly, different genes and metabolite compounds in white safflowers were enriched upstream from the phenylpropanoid metabolic pathway to the production of naringenin, whereas those in red safflowers were concentrated in the downstream pathway from eriodictyol. Meanwhile, the preliminary quantification of anthocyanins and carotenoids extracted from red, orange, and white types of safflower showed that the level of both anthocyanins and carotenoids were highest in red types. This work provides new insights into the formation of different safflower flower colours and in the conservation and management of safflower germplasm.

The Effect of an Individualized Informational Intervention on the Quality of Life, Adherence and Psychosocial Economic Status of Patients with COPD: A Research Protocol

Introduction: Chronic obstructive pulmonary disease (COPD) has a diverse negative impact on patients, affecting them both physically and mentally. Psychosocial factors such as anxiety, depression, social isolation, and financial stress have been found to be positively associated with more exacerbations, hospital readmissions, poor adherence to medication, and lower quality of life among patients with COPD. However, healthcare professionals, who have a crucial role in diagnosing and managing COPD, often overlook these psychosocial factors of the disease, despite growing evidence suggesting their crucial role in improving disease outcomes. Consequently, this study will evaluate the effectiveness of a personalized individualized informational intervention on the quality of life, adherence, and psychosocial economic status of patients with COPD in healthcare settings of Greece. Methods: A prospective, mixed-methods design will be used, incorporating both quantitative data through questionnaires, including the Short Form (SF-12), Clinical COPD Questionnaire (CCQ), Test of Adherence to Inhalers (TAI), Patient Health Questionnaire (PHQ-4), Multidimensional Scale of Perceived Social Support (MSPSS), and Financial Ability Scale (FAS), alongside qualitative data with questions exploring themes such as general health perception, treatment adherence, mental status, socioeconomic status, and disease management. Participants will consist of patients receiving care at primary healthcare facilities and respiratory hospital departments in Crete, Greece. The intervention will involve providing structured information on social, financial, and psychological support services, along with psychosocial counseling over a six-month period. The impact of the intervention will be measured using validated tools to assess health status, quality of life, treatment adherence, mental health, and socioeconomic status before and after the intervention. Conversely, qualitative interviews will be conducted to gain deeper insights into the impact of the intervention. Finally, when the analyses of both data types are finalized, they will be triangulated to achieve convergence. This procedure entails the creation of a figure or illustration that demonstrates the convergence or divergence of both data types. Conclusions: The findings of this study are expected to highlight the importance of integrating an individualized informational intervention into the management of COPD. Thus, this study could guide healthcare professionals and policymakers in improving COPD care and patient outcomes.

Moral intelligence among Muslim employees in hospitality settings: scale development and validation

PurposeAs upscale hotels have guests from diverse backgrounds and cultures, their Muslim employees should respect each. Consequently, this paper seeks to develop a multi-dimensional scale that measures Muslim employees’ moral intelligence within the hospitality domain.Design/methodology/approachThe following dimensions: fear of Allah, humility, generosity and tolerance were included in this new scale. To develop this scale, this paper incorporates a multistage approach.FindingsEmploying ADANCO-PLS v.2.4, the nomological validity of this new scale was examined. These dimensions will help Muslim employees in hospitality contexts enhance their moral intelligence, which can result in their skill development, increased job delight and retention since they will feel appreciated and encouraged toward their ethical growth.Practical implicationsUpscale hotels can benefit by creating workplace cultures of giving for guest experiences. When Muslim employees are ready to take it up a notch, they contribute exceptional guest experiences and deeper relationships. This leads to higher levels of customer loyalty rates with revisit intentions.Originality/valueGiven moral judgments are essential in hospitality businesses; this paper highlighted using moral intelligence attitudes among Muslim employees.

Analyzing Urban Air Quality Perceptions: Integrating Socio-Demographic Patterns with Sensor-Based Measurements Using Regression Model and Multidimensional Scaling

In this study, the urban air quality perceptions are explored in the metropolitan area of Târgu Mureș, Romania, emphasizing the interaction between socio-demographic factors, air quality measures, and industrial activity. The research addresses the need to understand how public perceptions align with objective air quality data and industrial influences, aiming to support sustainable urban planning. Data were gathered through a structured survey of 321 respondents and complemented by air quality measurements, including PM2.5 and PM10, and industrial production data. Statistical analyses, such as regression models and multidimensional scaling (PROXSCAL), were applied to identify patterns and relationships between socio-demographic characteristics, perceived air quality, and environmental factors. The results reveal significant links between demographic factors (e.g., age, awareness of local initiatives) and perceptions of air quality, alongside a nuanced interaction between air quality indicators and industrial activity. Respondents frequently identified traffic and industrial emissions as major contributors to air pollution, which was corroborated by sensor data trends. The findings underline the importance of integrating public perceptions with empirical data to design targeted policies and foster community engagement. This comprehensive approach provides actionable insights for improving urban air quality and advancing sustainable practices in mid-sized cities like Târgu Mureș.

Cecal microbial composition and serum concentration of short-chain fatty acids in laying hens fed different fiber sources.

The intestinal microbiota is widely recognized as an integral factor in host health, metabolism, and immunity. In this study, the impact of dietary fiber sources on the intestinal microbiota and the production of short-chain fatty acids (SCFAs) was evaluated in Lohmann White laying hens. The hens were divided into four treatment groups: a control diet without fiber, a diet with wheat bran (mixed fibers), a diet with insoluble fiber (cellulose), and a diet with soluble fiber (pectin), with six replicates of four hens each. Cecal content from 24 hens was analyzed using 16S rRNA sequencing, while SCFA concentrations were measured in blood serum. Alpha diversity analysis revealed significant variations in microbial richness and diversity among treatments, with higher species richness observed in hens fed wheat bran and cellulose, as indicated by Shannon indices. Principal Coordinates Analysis (PCoA) showed significant differences in microbial composition between the control group and the fiber-supplemented groups. The predominant phyla were Bacteroidetes, Campilobacterota, Firmicutes, and Spirochaetota, with a notable increase in Bacteroidetes in fiber-supplemented groups. Regarding SCFAs, fiber inclusion increased acetic and propionic acid concentrations compared to the control group. Diets with mixed fibers (wheat bran) resulted in the highest acetic acid levels, while propionic acid was most abundant in hens fed soluble fiber (pectin). These findings demonstrate that dietary fiber inclusion to laying hens enhances microbial diversity, stimulates SCFA production, and contributes to host metabolism and health.

Dietary Chia (Salvia hispanica L.) seeds oil supplementation augments growth performance and gut microbial composition in Labeo rohita fingerlings

The present study investigates the supplemental effects of chia seed oil (CSO) on the growth performance and modulation of intestinal microbiota in Labeo rohita fingerlings. Four diets were formulated with graded levels of CSO: 1.0%, 2.0%, and 3.0% represented as CSO (1), CSO (2), and, CSO (3) groups alongside a control group without CSO. L. rohita fingerlings (n = 180) (mean weight = 19.74 ± 0.33 g) were randomly distributed in triplicates for 60 days to these treatment groups. The results depicted significant improvements (p < 0.05) in weight gain (WG) %, specific growth rate (SGR), feed conversion ratio (FCR), and feed conversion efficiency (FCE) in the group supplemented with the lowest level of CSO. Gut microbial analysis evidenced the ability of CSO at 1.0% to augment the relative abundance of bacterial phyla such as Verrucomicrobiota, Actinobacteria, Bacteroidota, Fusobacteria and Firmicutes, as well as genera Luteolibacter and Cetobacterium, indicating higher alpha diversity compared to the control. Principle coordinate analysis (PCoA) demonstrated a distinct composition of microbial communities in CSO-supplemented groups relative to the control (p < 0.001). Correlation analysis further revealed a significant (p < 0.05) association of specific microbial taxa with growth performance parameters. The predictions of metabolic pathways suggested the involvement of carbohydrate and amino acid metabolic pathways in the CSO (1) group, indicating improved nutrient transport and metabolism. Overall, the findings highlight the beneficial effects of 1.0% CSO supplementation on growth performance and modulation of gut microbiota in L. rohita fingerlings.

Assessment of Suicidal Ideation among Patients Attending Deaddiction Clinic in a Tertiary Care Hospital

Abstract Background: In substance use, disorder suicide is the major cause of mortality. Evidence suggests that there is some relation between suicidal ideation (SI) and substance use. There are an inadequate number of studies in Indian settings regarding SI among patients attending the deaddiction clinic. Objectives: This study investigates the presence of SI and its association with sociodemographic data. Methods: This cross-sectional study was conducted with 104 patients who attended the deaddiction clinic and were screened for SI using a convenient sample technique based on the inclusion criteria through the interview method. Data collection tools used were a questionnaire on sociodemographic data, the Columbia-Suicide Severity Rating Scale (C-SSRS), and the Multidimensional Scale of Perceived Social Support. Data were analyzed by SPSS software version IBM SPSS ®21 using descriptive statistics (frequency, mean, and standard deviation) and statistical tests (Chi-square test and Student’s t-test) with a level of significance &lt;0.05. Results: The study found that out of 104 participants, 34.6% had a history of SI and 13.5% had a history of actual attempts, most of them were of low lethality, but none had any such ideation at the time of assessment. The research found there is a strong association of SI with many of the sociodemographic variables, such as tobacco age of dependent use and quantity of alcohol use, which showed a significant relationship with SI, with P &lt; 0.05. Regarding the perceived social support, the result shows most of the patients had a moderate perceived social support. Conclusion: The results found that 1/3rd of the patients had experienced SI and about 1/8th of them had an actual attempt.

Mediating effect of social support on the relationships between caregiver burden and quality of life in family caregivers of people with dementia: a cross-sectional study in Rural China

BackgroundChina has the largest percentage of people with dementia (PwD) around the world. And most of them are cared for by their family members. The purpose of this study was to identify the quality of life (QoL) of family caregivers of PwD in rural China and to investigate the mediating role of social support between caregiver burden and QoL under the guidance of a stress process model.MethodsThis cross-sectional design study in rural areas of Hunan province, China included 150 family caregivers of PwD. The participants completed questionnaires, including the demographic information questionnaire on caregivers and PwD, the caregiver version of QoL in Alzheimer’s Disease, the Caregiver Burden Inventory, and the Multidimensional Scale of Perceived Social Support. The demographic factors associated with QoL were subjected to univariate analysis. Pearson’s correlations were used to test the relationship among care burden, social support, and QoL. SPSS PROCESS Procedure was conducted to test the hypothesis of mediating effects.ResultsThe family caregivers of PwD exhibited a fair QoL, with a score of 29.01 ± 4.059. Pearson’s correlations revealed the negative correlation of caregiver burden with social support and QoL and the positive correlation between social support and the QoL of family caregivers. The results suggest the mediating role of social support between caregiver burden and the QoL.ConclusionThe QoL of family caregivers of PwD in rural China is suboptimal and indirectly influenced by the caregiving burden through the mediating effect of social support. Strengthening social support networks, both formal and informal, is essential to reducing caregiver burden and improving the QoL of family caregivers of PwD.

Exploring the correlations between social support, resilience, well-being, and mental health variables among youth in border areas of Jammu and Kashmir.

The border areas of Jammu and Kashmir have long been affected by conflict, potentially impacting the mental health of youth. Understanding the relationships between social health factors and mental health outcomes in these regions is crucial for developing effective interventions. This study aims to investigate the correlations between social health factors (social support, resilience, and well-being) and mental health outcomes (stress, anxiety, and depression) among youth living in the border areas of Jammu and Kashmir. A sample of 300 individuals aged 18 to 25 years was recruited, with 150 participants from the Line of Control (LoC) border in Rajouri district and 150 from the International Border (IB) in Jammu district. Participants completed six standardized measures: the Resilience Scale, the Multidimensional Scale of Perceived Social Support (MSPSS), the Patient Health Questionnaire-9 (PHQ-9), the WHO-5 Well-Being Index, the Perceived Stress Scale (PSS), and the Generalized Anxiety Disorder-7 (GAD-7). Pearson Correlation was computed with statistical significance at p < .05. Significant positive correlations were found between social support, resilience, and well-being in both IB and LoC groups. Depression was positively correlated with anxiety in both groups. However, stress was positively correlated with depression and anxiety only in the LoC group. These findings highlight the importance of social health factors in maintaining mental well-being among youth in conflict-affected regions. The study suggests that interventions targeting social support, resilience, and well-being may effectively promote mental health in these areas. Additionally, the results underscore the need for context-specific approaches in addressing mental health challenges in different conflict-affected environments.

The moth fauna is more diverse in the understorey than in the canopy in a European forest.

The canopy of forests as the 'last biotic frontier' has often been neglected in insect biodiversity studies because it is harder to access compared to the understorey, even in relatively well-known temperate ecosystems. We investigated the diversity, abundance, and body size patterns of macromoths (Lepidoptera) in the canopy and understorey in a central European deciduous forest. We collected moths at two sites during 19 trapping nights and three lunar phases between July and September 2021 using a weak ultraviolet light emitting diode (LED) lamp (LepiLED mini). Overall, we captured 4368 individuals (165 species) from 11 families. Based on a number of metrics, richness and diversity was significantly lower in the canopy than in the understorey. Non-metric multidimensional scaling ordinations show that communities largely overlap, but the proportion of species that only occur in the understorey was higher. While Noctuidae and Erebidae species were abundant in both strata, Geometridae species were most frequently observed in the understorey. We identified 16 indicator species for the understorey but only three for the canopy. Forewing length of moths in the canopy was on average 1.7 mm longer than of those in the understorey. Overall, the understorey is far more important for moths than the canopy in a temperate forest. The canopy is dominated by fewer and larger species and probably has a higher proportion of dispersers.

Varieties of Populist Attitudes in Brexit Britain: Socio-Political and Psychological Correlates of a New Multi-dimensional Scale

Populism is usually understood as a complex multi-dimensional phenomenon that encompasses different manifestations. However, most studies on the demand-side adopt a parsimonious minimal definition approach that hinders the ability to capture different forms of populism and the variable weight of its components. This article tests a new multi-dimensional strategy to measure and compare populist and pluralist attitudes in the context of Brexit Britain. We explore the relationship between populism and Britons’ socio-political views – on borders, democracy, governance, identity, and the European Union – and psychological traits – such as conspiracy belief, social alienation, justification of political violence, and meaning in life—. Our new Multi-dimensional Populist Attitudes Scale (MPAS) reveals two varieties of populism, ‘aspirational/subversive’ and ‘identitarian/protective’, and a non-populist ‘moderate/pluralist’ archetype. The new items introduced in the MPAS can complement (or become an alternative to) extant scales especially in contexts where populist movements do not fully fit narrow conceptualisations of populism.

Uncovering the Euclidean Geometry of Data

Suppose you have a collection of objects in some exotic metric space and you’d like to see what they would look like if they were instead in Euclidean space. Or suppose these objects aren’t even points in a metric space, they are just entities for which you have some rough, intuitive notion of distance between each pair of them—one that need not satisfy any official mathematical properties like the triangle inequality. There is a linear algebraic optimization procedure called multidimensional scaling that embeds these objects in Euclidean space in a manner that approximates their original distances. This uncovers the Euclidean geometry hidden in data. This article explores how it works and what it’s useful for, particularly in a data science context.

Assessing the Impact of Land-Based Anthropogenic Activities on the Macrobenthic Community in the Intertidal Zones of Anmyeon Island, South Korea

Anthropogenic activities, particularly land reclamation and industrialization, have severely damaged South Korea’s intertidal zones, resulting in a decline in biodiversity. In our study, we assessed the macrobenthic community in the intertidal zone of Anmyeon Island, South Korea, and used remote sensing to evaluate the impact of anthropogenic activities on the adjacent land areas. Spearman and Principal Coordinate Analysis (PCoA) indicated that the remote-sensing ecological index (RSEI) is a viable indicator for assessing the dissimilarity of macrobenthic communities in these zones. Moreover, biota–environment matching (BIO–ENV) and distance-based redundancy analysis (dbRDA) demonstrated that land cover types significantly influence the macrobenthic communities in nearby intertidal zones. Our study suggested that urbanization and agricultural activities have affected the terrestrial ecological environment and the adjacent intertidal communities. Consequently, the protection of these zones should extend beyond their borders to include the management of anthropogenic activities on adjacent lands. Our research contributes valuable insights to help inform conservation strategies and the policy-making necessary to safeguard South Korea’s intertidal zones.

Things Latinas need to plan for safety: A dual-site concept mapping study.

Latina women in the United States experience intimate partner violence (IPV) at high rates, but evidence suggests Latinas seek help for IPV at lower rates than other communities. Safety planning is an approach that provides those experiencing IPV with concrete actions to increase their safety and referrals to formal services. While safety planning is shown to reduce future incidences of violence, little is known about the safety planning priorities of Latinas. This study leveraged Group Concept Mapping, a mixed-method process consisting of brainstorming, sorting, rating, and interpreting. First, 17 Latinas who were survivors of IPV and/or professional advocates generated responses to a focal prompt. Next, 19 participants pile-sorted a list of unduplicated responses into categories. Data were analyzed using multidimensional scaling and hierarchical cluster analysis and results were iteratively refined by the study team. Forty-two Latina participants in Chicago and Miami rated each item based on its necessity for safety using two scenarios: if a survivor planned to leave a partner or remain in the relationship. Bivariate correlation analyses were used to examine differences in safety planning priorities across multiple axes. Finally, results were shared with participants for feedback and contextualization. Combined, a total of 46 Latinas participated in data collection activities. Brainstorming and sorting data generated seven clusters of safety planning needs. Statistically significant differences in cluster rating were found for women who intended to leave a relationship (for whom legal services was most necessary) versus those who intended to stay (for whom safety planning services were critical) and those in Chicago versus those in Miami. This study contributes to the small, but growing, literature regarding safety planning needs of Latinas in the US and illustrates potential ways in which future safety planning interventions should be tailored to these communities.

Conceptualizing Meaningful Youth Engagement in Adolescent Sexual and Reproductive Health Programming

Background and Objectives: The Youth Engagement Network (YEN) was a three-year project focused on strengthening meaningful youth engagement in sexual health programs. It sought to answer the question, “What is a useful framework for meaningful youth engagement of vulnerable populations in sexual health programming?” Methods: The YEN chose Group Concept Mapping (GCM) as the approach to answer their learning question. GCM is a mixed-methods process that can be used to integrate the unique perspectives of a group of individuals. The approach entails 1) brainstorming ideas related to a prompt, 2) individual sorting and rating of the ideas, and 3) the application of multi-dimensional scaling (MDS) and hierarchical cluster analysis to integrate the individual sorting information and develop a series of concept maps. Results: Seventy-four young people and adults generated 141 responses to our prompt. These were pared down to 82 statements that were then sorted and/or rated on importance by 113 participants. Our final cluster map focused on 9 concepts: Facilitators, Diversity, Relevance, Access, Connection, Comprehensive Sex Ed, Co-development, and Space. Conclusions: We found GCM to be useful for identifying potential components of a framework to move the field toward more meaningful engagement of young people in sexual health programming.

Effects of Elizabethan Collar and Wound Protection Corset on Pain and Discomfort Levels in Cats Undergoing Ovariohysterectomy.

To compare the impacts of Elizabethan collar (EC) and wound protection corset (WPC) on pain and discomfort levels in cats following ovariohysterectomy. Prospective, randomized controlled clinical trial. Twenty-six healthy female cats. Animals were randomly assigned to two groups after midline celiotomy: One group wore an EC (n=13), and the other wore a WPC (n=13). Pain was evaluated using the Composite Measure Pain Scale-Feline (CMPS-F) and the Multidimensional Pain Scale (MCPS) at intervals of 6, 12, 24, 48, 72 and 96h, with the requirement for rescue analgesia recorded. Discomfort was assessed through cortisol levels, behavioural observations and the frequency of misbehaviours. No significant differences were observed between groups at all time intervals for CMPS-F and MCPS (p<0.05). Rescue analgesic administration was similar between the groups, with 16 administrations in the WPC group and 17 in the EC group (p=0.88). Cortisol levels also showed no significant difference between groups (WPC: 0.05 [0.05-0.3] vs. EC: 0.05 [0.05-0.8]; p=0.09). Behavioural observations revealed significant differences in misbehaviours, with 10 out of 13 cats in the EC group attempting to remove their collars or exhibiting head shaking (p<0.01), whereas no misbehaviours were noted in the WPC group. Both EC and WPC provided comparable pain management; however, the significant misbehaviours associated with EC use suggest increased discomfort level. The WPC may offer a more comfortable recovery experience for cats following ovariohysterectomy, warranting further investigation.

Perceived Athlete Scandal Severity: Scale Development and Validation

Despite the significance of scandal severity in determining consumer responses to athlete scandals, a notable gap persists in the systematic understanding of perceived athlete scandal severity (PASS). The present study addresses this gap through three objectives: (a) identifying dimensions of PASS; (b) developing a multidimensional measurement scale; and (c) testing the validity of the PASS scale. Our systematic approach, which included an extensive literature review, open-ended surveys, and quantitative verification, led to the identification of eight dimensions that serve as formative indicators of the PASS scale: harm, illegality, media attention, intentionality, sport integrity-relatedness, transgression history, personal relevance, and cultural background. By developing and validating the PASS scale, this study opens avenues for further exploration into consumers’ multifaceted responses to athlete scandals. The PASS scale also equips marketing managers to make informed decisions based on the severity of athlete scandals, facilitating the implementation of effective crisis-management strategies.