Multidimensional Scaling Research Articles

A Comparative Analysis of the Ocular Microbiome: Insights into Healthy Eyes and Anophthalmic Sockets

The purpose of this study is to characterize the ocular surface microbiota of patients with an anophthalmic cavity. An eNAT with 1 mL of Liquid Amies Medium was used to collect samples. Microbial DNA from anophthalmic socket and healthy fellow control eye samples was isolated and sequenced. Raw reads were analyzed with GAIA (v 2.02). The richness and Shannon alpha diversity metrics, as well as Bray–Curtis beta diversity and Wilcoxon signed-rank test values, were computed with R packages such as phyloseq, mia, or DESeq2 to allow for microbiome analysis. Principal coordinate analysis (PCoA) was performed using the function plotReducedDim from the R package scater. The different taxonomic profiles were described under the concept of eye community state type (ECST). The microbiomes of both eyes from 25 patients with an anophthalmic cavity were analyzed in this study. While the microbial communities of paired eyes from the same patients showed notable dissimilarity, no consistent patterns emerged when comparing healthy eyes to anophthalmic sockets. Alpha diversity values did not significantly differ between healthy eyes and anophthalmic socket samples, though there was considerable variability within each group. Notably, anophthalmic socket samples generally exhibited lower abundances of genera such as Staphylococcus, Enterococcus, Paenibacillus, and Sediminibacterium compared to their healthy counterparts. Microbial variability between healthy eyes and anophthalmic sockets may be due to anatomical differences. Further research is needed to determine whether patients without anophthalmic sockets exhibit similar microbiome patterns in both eyes.

Existential Gratitude in People Living with HIV (PLWH): Does Social Support Matter?

People Living with HIV (PLWH) often experience medical and psychological problems. Applying existential gratitude is a way to address all psychological problems. Existential gratitude is the concept of gratitude for the destiny that occurs in life, even though it is unpleasant. This study examines social support's effect on existential gratitude in PLWH in DKI Jakarta. Two hundred and ten respondents were obtained using the purposive sampling technique. Data were collected using the Existential Gratitude Scale (EGS) and the Multidimensional Scale of Perceived Social Support (MSPSS). Data were analyzed using simple linear regression techniques with the help of SPSS 24.00. The results showed that social support significantly affects existential gratitude among PLWH in DKI Jakarta province, with a contribution of 6.1 percent (R2=0.061, p=0.00). This study also found that social support from other significant (which comes from health workers) has the highest correlation with existential gratitude. This study has implications for increasing social support from family, friends, and health workers to improve the quality of life and well-being of PLWH.

Genomic and Transcriptomic Comparison Between Invasive Non-Typhoidal Salmonella and Non-Invasive Isolates

Invasive non-typhoidal Salmonella (iNTS) poses a significant threat to global public health. Salmonella enterica Enteritidis and Typhimurium are the primary serovars responsible for both invasive diseases and gastroenteritis. This study aims to investigate the genomic and transcriptomic differences between isolates associated with these contrasting clinical presentations. We retrieved genomes of Salmonella Enteritidis and Salmonella Typhimurium from Enterobase, utilizing blood and stool isolates as representatives for iNTS and non-iNTS, respectively. An indistinguishable phylogenetic relationship was revealed between the blood and stool isolates for both serovars. Few genes were specifically identified in iNTS. Random forest and principal coordinates analysis permitted moderate discrimination between the two sources of isolates based on overall genome content. Notably, the blood isolates of Salmonella Typhimurium displayed an elevated level of antimicrobial resistance and genome degradation compared to stool isolates. Meanwhile, transcriptome sequencing identified few genes that were differentially expressed between blood and stool isolates. Hierarchical clustering and principal component analysis did not effectively differentiate the expression profile of iNTS from non-iNTS. In summary, few genes could serve as reliable biomarkers to distinguish iNTS and non-iNTS at either the genomic or transcriptomic level. Nevertheless, iNTS has indeed accumulated subtle genomic differences from non-iNTS, which might contribute to invasiveness.

Assessment of Prenatal Transportation Stress and Sex on Gene Expression Within the Amygdala of Brahman Calves

As the amygdala is associated with fear and anxiety, it is important to determine the potential effects of gestational stressors on behavior and stress responses in offspring. The objective of this study was to investigate the effects of prenatal transportation stress on amygdala gene expression in 25-day-old Brahman calves, focusing on sex-specific differences. Amygdala tissue samples from prenatally stressed (PNS) and control bull and heifer calves were analyzed using RNA sequencing. A thorough outlier detection process, utilizing visual inspection of multidimensional scaling plots, robust principal component analysis, and PCAGrid methods, led to the exclusion of 5 of 32 samples from subsequent analyses. Differential expression analysis revealed no significant treatment differences between the control and PNS groups within either sex. However, sex-specific differences in gene expression were identified in both the control and PNS groups. The control group showed seven differentially expressed genes between sexes, while ten were identified between PNS males and females, with seven located on the X chromosome. Among these was the ubiquitin-specific peptidase 9 X-linked gene, which plays a role in neurodevelopmental pathways. When comparing males to females, regardless of treatment, a total of 58 genes were differentially expressed, with 45 showing increased expression in females. Gene enrichment analysis indicated that many differentially expressed genes are associated with infectious disease-related pathways. Future research should explore amygdala size and functional responses to various postnatal stimuli.

Auxiliaries in Old Dutch

Abstract This study explores the use of auxiliaries in the oldest text available for Old Dutch, the Wachtendonck Psalter, dating from the 10th century. Our aim is to understand why there are so few different auxiliaries in this text in comparison to other texts in Old Dutch. We tackle this question by taking a historical comparative perspective, using methodological insights and techniques from corpus-based contrastive linguistics and typology. More specifically, we build a diachronic parallel corpus of psalm translations and compare the contexts in which auxiliaries and inflectional alternatives are used in these parallel texts by means of multidimensional scaling. Our historical comparative method results in five proximity maps which allow us to explore and compare the inventory of verb constructions of the Wachtendonck Psalter both retrospectively, with its source text in Latin, and prospectively, with later translations in Dutch. Our analysis examines the role of grammaticalization as well as the specific nature of the text as an interlinear translation as possible motivations for the presence and absence of auxiliaries in the Wachtendonck Psalter.

The Relationship Between Social Media Use and Smartphone Addiction in Adolescents and Parental Neglect During the Pandemic

The aim of this study was to examine the relationships between social media and smartphone addiction in adolescents and their parents’ neglectful behaviors in the pandemic. The main problem of the research is to examine whether the increasing socialization and intimacy needs of adolescents during the pandemic period are an important factor in the emergence of social media and smartphone addiction due to their parents' inability to adequately meet these needs and neglecting their children, especially in terms of supervision. The study group consisted of 280 adolescents aged between 11-14 attending secondary schools in the city center of Ankara, Türkiye and their parents. In terms of the data gathering instruments, an Individual Information Form was administered to both the children and parents for the purpose of gathering socio-demographic data. In addition, adolescents were administered Smartphone Addiction Scale for the purpose of assessing their smartphone addiction levels along with Social Media Addiction Scale for the purpose of assessing their social media addiction levels. On the other hand, the Multidimensional Neglectful Behaviors Scale was administered to the parents in order to assess the level of their neglectful behaviors. As a result, 86.5% (n=218) of adolescents stated that their smartphone use and 78.5% (n=204) stated that their social media use increased during the pandemic period. When the smart phone and social media addiction status of adolescents were compared according to the level of neglect by their parents, it was determined that the neglect scores of adolescents with addiction level-smart phone and -social media use were significantly higher. In addition, it was found that parental neglect levels were positively associated with both smart phone addiction and social media addiction in adolescents, and there was a positive relationship between smart phone addiction and social media addiction in adolescents. The findings were discussed in line with the related literature.

Machine Learning Model for Predicting Walking Ability in Lower Limb Amputees

Background/Objectives: The number of individuals with lower limb loss (LLL) is rising. Therefore, identifying the walking potential in individuals with LLL and prescribing adequate prosthetic systems are crucial. Various factors can influence participants’ walking ability, to different extents. The aim of the present study was to apply machine learning methods to develop a predictive mode. This model can assist rehabilitation and limb loss care teams in making informed decisions regarding prosthesis prescription and predicting walking ability in individuals with LLL. Methods: The present study was designed as a prospective cross-sectional study encompassing 104 consecutively recruited participants with LLL (average age 62.1 ± 10.9 years, 80 (76.9%) men) at the Medical Rehabilitation Clinic. Demographic, physical, psychological, and social status data of patients were collected at the beginning of the rehabilitation program. At the end of the treatment, K-level estimation of functional ability, a Timed Up and Go Test (TUG), and a Two-Minute Walking Test (TMWT) were performed. Support vector machines (SVM) were used to develop the prediction model. Results: Three decision trees were created, one for each output, as follows: K-level, TUG, and TMWT. For all three outputs, there were eight significant predictors (balance, body mass index, age, Beck depression inventory, amputation level, muscle strength of the residual extremity hip extensors, intact extremity (IE) plantar flexors, and IE hip extensors). For the K-level, the ninth predictor was The Multidimensional Scale of Perceived Social Support (MSPSS). Conclusions: Using the SVM model, we can predict the K-level, TUG, and TMWT with high accuracy. These clinical assessments could be incorporated into routine clinical practice to guide clinicians and inform patients of their potential level of ambulation.

Algorithms for biodistance analysis based on various squared Euclidean and generalized Mahalanobis distances combined with probabilistic hierarchical cluster analysis and multidimensional scaling

Algorithms for biodistance analysis based on various squared Euclidean and generalized Mahalanobis distances combined with probabilistic hierarchical cluster analysis and multidimensional scaling

Supporting prescriber progression: a group concept mapping study

Abstract Introduction Education reforms allow pharmacists to become prescribers earlier in their career and from 2026, new registrants will be independent prescribers.1 In NHS Scotland, an operational framework supports the development of pharmacist independent prescribing.2 We wanted to supplement the operational framework by identifying our core areas of prescribing to articulate prescribing progression and inform education and training provision. Aim To develop a core prescribing framework to support safe prescribing and a spiral approach to expanding scope of practice. Methods We conducted a participatory mixed-method approach using group concept mapping methodology.3 Phase 1 (brainstorming): all hospital pharmacists working in a patient-facing clinical role were invited to enter statements on a cloud-based platform (Padlet®) using the prompt ‘In my day-to-day practice I prescribe and/or make prescribing recommendations about the following medicines / conditions …’. The statements were triangulated with electronic inpatient pharmacist prescribing data over the previous three months. Phase 2 (sorting and rating): a project group comprised of pharmacists with different levels of practice and areas of clinical expertise, individually sorted the statements into groups based on the statements’ conceptual similarity and rated each statement by level of practice (post-registration foundation, advancing, advanced) and importance for including in a core framework (5-point Likert scale). R software applied multidimensional scaling to sorting data to create a similarity matrix, cluster map and Go-Zones. ChatGPT generated cluster titles. The project group discussed the results and following a few revisions, consensus was achieved on the content of the prescribing framework. This study was not considered research and was approved by the pharmacy quality improvement team in line with local governance process. Results Forty-three pharmacists participated in the brainstorming phase and generated 158 statements. Fourteen pharmacists participated in the sorting and rating phase. Multidimensional scaling analysis identified three clusters of prescribing activities: initiating, adjusting and deprescribing. The data identified activities involving initiating medicines and autonomous decision making rated at advancing/advanced level practice while adjusting/deprescribing medicines (often with the caveat of within guidelines, protocols or team decisions) was rated at post-registration foundation level. The prescribing framework includes the activities considered important and is organised by cluster and level of practice. Discussion / Conclusion This study provides a structured conceptualisation of prescribing across the levels of practice. The prescribing framework reflects the needs of our patients and hospital inpatient service and provides a scaffolded approach to progressing from inexperienced to more advanced prescribing roles. Post-registration foundation prescribing activities focus on processes or types of prescribing, whilst advanced are more autonomous and complex. Limitations we didn’t collect clinical area of practice as part of the demographic information for the brainstorming phase and some specialities may not be represented. Further work includes a training needs analysis and developing entrustable professional activities for core and higher risk areas of prescribing (e.g. post-operative pain).

Comparying two methods of disparity analysis of the anterior portion of m1 in the gray voles (Rodentia, Arvicolini) in a model sample: frequency analysis of morphotypes and geometric morphometrics

An analysis of disparity of the anterior portion of m1 shape in the gray voles in an artificial sample consisting of 5 groups with different frequency distributions of 5 morphotypes was carried out. Two main approaches were applied: (a) traditional analysis of frequency distribution of discrete morphotypes and (b) geometric morphometrics (GM) based on a strictly quantitative description of the shape of anterior portion of m1. The groups were compared quantitatively: Cavalli-Sforz–Edwards’ coefficient was applied in the first case, while the thin plate spline and Procrustes analyses in the second; their results were analyzed using a number of standard statistical methods (dispersion analysis, discriminant analysis, multidimensional scaling). Disparity within the groups was assessed using Shannon entropy index and averaged Procrustes distance. Traditional and GM approaches were shown to provide very similar results, with GM having a number of important advantages by being strictly quantitative. The second approach is recommended as the basic to replace the traditional one for explorations in disparity of tooth crown shape in the voles.

Fatigue, quality of life, and social support in Greek health staff: Public versus private kidney units

Healthcare professionals often experience fatigue and a diminished quality of life due to demanding hours and challenges in balancing work and personal life. Social support plays a critical role in influencing these factors. This study focused on nurses and healthcare workers in the artificial kidney unit, a specialized area requiring significant expertise to operate complex machinery for seriously ill patients. We assessed levels of fatigue, social support, and quality of life among 159 doctors and nurses in public and private facilities across Greece using the Fatigue Assessment Scale, Multidimensional Scale of Perceived Social Support, and General Health Questionnaire-28. Participants reported moderate fatigue (mean = 2.63, standard deviation [SD] = 0.57 for doctors; mean = 2.42, SD = 0.49 for nurses) and moderate-to-high levels of social support (mean = 5.66, SD = 1.35). Factors negatively impacting quality of life, such as physical symptoms, anxiety, social dysfunction, and severe depression, yielded low scores. Notably, fatigue and quality of life differed significantly between public and private sectors (p < 0.05), with public sector professionals reporting higher fatigue levels and lower quality of life. These findings highlight the need for healthcare authorities to address the unique challenges faced by staff in artificial kidney units, particularly in public hospitals, to improve working conditions and overall well-being.

Strengthening healthcare providers’ leadership capabilities, interprofessional collaboration, and systems thinking: a conceptualization of the Clinical Scholars program impact

BackgroundHealthcare provider leadership programs represent an intervention opportunity to support advancement of the national system of care and an evaluation of their program impacts is needed. Between 2016 and 2023, the Robert Wood Johnson Foundation (RWJF) funded Clinical Scholars (CS), a three-year equity-centered leadership training program for US healthcare providers. CS recruited participants (referred to as Fellows) in cohorts and engaged them as members of interprofessional teams to transform their careers and the health of their communities. The aim of this study was to evaluate Fellows’ perspectives on the success of CS, specifically the program elements and their importance for community well-being and sustainability.MethodsWe used the mixed methods group concept mapping (GCM) approach to evaluate Fellows’ perspectives on program success. First, we conducted the qualitative phases of brainstorming, sorting, and rating with Fellows. Secondly, we conducted the quantitative phases using multi-dimensional scaling and hierarchical cluster analysis and integrated the sorting and rating information from each Fellow to develop a series of concept maps. Finally, we conducted the interpretation phase to synthesize findings. Fellows (N = 177) across five cohorts were invited to participate in the study.ResultsFifty-seven Fellows (32%) completed one or more GCM phases. A conceptual map emerged, consisting of seven thematic clusters, which showed that program value could be attributed to the following elements: “Resources”, “Wicked Problem Impact Project (WPIP) Support”, “Curriculum”, “Thinking Bigger”, “Leadership Training”, “Networking”, and “Teamwork.” The pattern match showed that all seven clusters were highly rated by Fellows across the Community Well-being Impact and Sustainability domains.ConclusionStudy findings support the value of the RWJF-CS program strategy of long-term investment in the development of healthcare leaders with applied skills in interprofessional collaboration who will be prepared to continue addressing complex, multi-faceted challenges in the system of care.

Developing a multidimensional scale for presenteeism: A study on measurement and implications

Presenteeism is among the key factors that negatively affect employee efficiency and, therefore, company organi zational performance. The existing measurement tools for assessing presenteeism highlight health-related issues as the main reason behind this counterproductive behaviour. On the other hand, other factors that influence modern business life and pro cesses are omitted. The paper’s primary purpose is to develop a comprehensive measurement tool suitable for the individual and organizational multi-factor structure of presenteeism that accurately reflects the complex nature of today’s business world. Meth odologically, the research is shaped within the framework of grounded theory. In the study, mixed methods research combining qualitative and quantitative methods was utilized. In this context, firstly, the authors conducted a literature review and focus group interviews with experts in the field in order to reveal the conceptual structure. We analysed the data using content analysis and then moved on to writing 18 scale items. We performed exploratory factor analysis using the SPSS program and confirmatory factor analysis using the AMOS program. As a result, we develop a four-dimensional scale for presenteeism covering work focus, stress management, social loafing, and performance. The verified multidimensional scale fills a vacuum in the literature by offer ing a comprehensive and dependable instrument to gauge presenteeism on organizational and individual dimensions. Among the possible avenues for further research are testing the scale in different cultural contexts and addressing the organizational causes of presenteeism.

Perceived social support and symptoms of depression and anxiety in emerging adulthood: A Swedish prospective cohort study.

The transition from adolescence to young adulthood, often referred to as 'emerging adulthood', is a challenging period in life, and mental health problems are common. Although a large number of studies have shown that social support is linked with fewer mental health problems, few longitudinal studies have examined these associations during this life phase. The aim of the current study was to examine the associations between perceived social support from different sources - family, friends and significant other - at age 17-18 and symptoms of depression and anxiety at age 20-21. Data were obtained from the cohort study Futura01 based on a Swedish national sample of adolescents attending grade 9 in 2016/2017. We used survey information from 2019 (age 17-18) and 2022 (age 20-21) and linked registry information (N=2722). Symptoms of depression and anxiety were measured by the Patient Health Questionnaire-4 (PHQ-4) at age 20-21. Perceived social support was measured by the Multidimensional Scale of Perceived Social Support (MSPSS) at age 17-18. Control variables included sociodemographic characteristics and indicators of mental health problems at age 17-18. Binary logistic regressions were performed. When mutually adjusting for all sources of perceived social support, family support at age 17-18 had inverse associations with symptoms of both depression and anxiety at age 20-21. Perceived support from friends was associated with subsequent symptoms of anxiety only. Perceived social support can be a protective factor against mental health problems in emerging adulthood. The family serves a particularly important source of social support.

Genetic Diversity and Ecogeographical Niche Overlap Among Hybridising Ox-Eye Daisies (Leucanthemum, Asteraceae) in the Carpathian Mountains: The Impact of Anthropogenic Disturbances.

Climate change and human influence are transforming mountain ecosystems, significantly impacting species distributions and biodiversity. Among these changes, the upward migration of lowland species into mountain regions stands out. This study examines the ecogeographical niche overlap and genetic diversity among three Leucanthemum species distributed along an altitudinal gradient in the Carpathian Mountains: the lowland L. ircutianum (4x), the montane L. rotundifolium (2x) and the alpine L. gaudinii (2x). By genotyping over 600 individuals using SNP analysis, followed by principal coordinate analysis (PCoA), Neighbour-Net Network and Structure clustering, we reveal not just distinct genetic groups but also hybridisation across all species, suggesting the potential for triple hybrids. Genetic admixture is further supported by environmental background and niche overlap analyses that reveal substantial overlap among species, particularly in line with their vertical distribution. Climate envelope plots indicate a likely reduction in available habitat for mountainous species due to climate change, leading to an increase in competition and an intensification of hybridisation. Anthropogenic influences are further intensifying these hybridisation trends. Among the studied species, L. gaudinii is most at risk of overwhelming hybridisation, whereas L. ircutianum may experience habitat expansion. By providing a comprehensive genetic and ecological overview, our research highlights the significance of hybridisation in biodiversity conservation and the challenges posed by environmental changes and anthropogenic activities in mountain environments. This study not only contributes to the understanding of genetic diversity in the Carpathians but also underscores the broader implications for molecular ecology and conservation strategies in mountain ecosystems.

Seeing Personhood in Machines: Conceptualizing Anthropomorphism of Social Robots

This study conceptualizes and develops a multi-dimensional Scale of Social Robot Anthropomorphism (SSRA). Through a rigorous scale development procedure that consists of a battery of qualitative (interviews and focus group) and quantitative approaches (online and field studies), four dimensions of social robot anthropomorphism are identified, namely, human-like appearance, social intelligence, emotional capacity, and self-understanding. The scale is found to be valid and reliable by testing its convergent, discriminant, and nomological validities, utilizing data collected from over 1,000 participants. The theoretical and managerial contributions are discussed, and future research recommendations are provided.

Exploring phyto- and zooplankton community structure, spatial variation, and driving forces shaping the community from a large-scale freshwater dominated estuary

Abstract Plankton is essential to estuarine food webs, providing key food for species like fish larvae, and understanding their dynamics helps us comprehend ecological interactions and energy transfer in aquatic ecosystems. This study examined the plankton community structure, diversity, variability and the environmental variables of water that influenced these communities in a freshwater-dominated estuary along the Northern Bay of Bengal during the dry season. A variety of tools were employed, including a dissecting microscope, a Sedgwick-Rafter cell, and a Hanna multi-parameter meter, to obtain detailed and comprehensive data. From the analyses, in total 37 genera of phytoplankton belonging to 11 classes such as Bacillariophyceae (66%), Coscinodiscophyceae (28%), Fragilariophyceae (1%), Euglenophyceae (1%), Cyanophyceae (1%), others (3%) were recorded. Zooplankton, consisting of multicellular organisms, was represented by 11 genera across five classes, with Monogononta (53%) and Insecta (29%) being the most prevalent. Phytoplankton exhibited a mean abundance of 180,000 ± 20,200 cells L⁻¹ whereas zooplankton showed a mean abundance of 3,000 ± 200 cells L⁻¹. The diversity indices (H’), evenness (J’) and dominance (D) ranged from 1.188 ± 0.015 to 0.19 ± 0.006, 0.9377 ± 0.002 to 0.5118 ± 0.006, 0.365 ± 0.001 to 0.143 ± 0.002 respectively, suggested low to moderate plankton diversity with a suppressed community and moderate to high dominance in the river water. Based on the similarity percentage (SIMPER) and analysis of similarity (ANOSIM), Phytoplankton and zooplankton varied significantly between stations while non-metric multi-dimensional scaling (nMDS) indicated greater consistency in phytoplankton communities across stations compared to zooplankton. Furthermore, Pearson's correlation coefficient (rs) and canonical correspondence analysis (CCA) identified transparency, sulfates, dissolved oxygen, conductivity, TDS, pH, and salinity as major influencers of plankton abundance; nitrate had a moderate effect. Spearman's rank correlations showed significant positive (p < 0.05) correlations between diversity indices and environmental variables.

Physical Activity Level and Time of Participation in a Water Aerobics Project for the Elderly: Analysis of the Association with Quality of life, Musculoskeletal and Osteoarticular Disorders, Chronic Pain and Body Mass Index

The objective was to analyze the association between the physical activity level (PAL) and time of participation in the practice of water aerobics with the variables successful aging (SA), quality of life (QOL), musculoskeletal and osteoarticular disorders (MOD), chronic pain (CP) and body mass index (BMI). The method has a quantitative, descriptive and cross-sectional design. The non-probabilistic sample, for convenience, comprised 101 elderly people over 60 years of age, of both genders, who regularly participate in water aerobics activities in the city of Dois Irmãos, in the state of Rio Grande do Sul. The following instruments were used: Multidimensional Pain Assessment Scale, EUROHIS-QOL, IPAQ, SOC and Body Mass Index. Descriptive analyses of frequency, comparison, correlation and multiple linear regression were used. The results showed that the irregularly active group has adequate perception of QOL and longer participation in water aerobics activities associated with lower intensity of pain perception. Likewise, better QOL and control attitudes are associated with lower prevalence of MOD.

The association between perceive social support and post-traumatic stress disorder symptoms among medical staff in Hubei, China: a chain mediating effect of resilience and positive coping

BackgroundEvidence suggests that PTSD symptoms following public health emergencies are influenced by many factors. The aim of this study was to investigate the relationship between perceived social support and Post-traumatic stress disorder symptoms and to explore the chain-mediated role of resilience and positive coping style, among medical staff in Hubei Province, China, during a public health emergency.MethodsConvenience sampling was used to select medical staff from two general hospitals in Hubei Province in July 2022 for this study. A total of 2,751 medical staff were included in the study. Multidimensional Scale of Perceived Social Support, 10- itemConnor- Davidson resilience scale, Simplified Coping Style Questionnaire and The Post-traumatic stress disorder Checklist for DSM-5 were used to assess the levels of perceived social support, resilience, coping style and Post-traumatic stress disorder symptoms of medical staff two years after the public health emergency. Statistical descriptions were conducted using SPSS, and a structural equation model was established using AMOS to analyze the chain-mediated roles of resilience and positive coping style between perceived social support and Post-traumatic stress disorder symptoms.ResultsStructural equation modeling results showed a standardized total effect of perceived social support on Post-traumatic stress disorder symptoms of -0.416 (95%CI [-0.456, -0.374], P < 0.001). Resilience mediated the effect of perceived social support and Post-traumatic stress disorder, with an indirect effect of -0.016 ( 95%CI [0.031, 0.001], P = 0.038). Positive coping mediated the effect of perceived social support and Post-traumatic stress disorder, with an indirect effect of -0.024 (95%CI [-0.035, -0.014], P < 0.001). Resilience and positive coping style chain-mediated between perceived social support and Post-traumatic stress disorder symptoms, mediating 17.1% of the total effect.ConclusionPerceived social support has significant direct and indirect effects on Post-traumatic stress disorder symptoms and resilience. In addition, positive coping style act as chain mediators between perceived social support and Post-traumatic stress disorder symptoms. We suggest that strengthening perceived social support for medical staff can enhance their resilience, encouraging them to adopt positive coping, which in turn reduces the level of post-traumatic stress symptoms among medical staff following public health emergencies.

Perceived Social Support and Depression, Anxiety and Stress in Pregnant Women Diagnosed With Foetal Anomaly.

To examine the relationship between perceived social support level and depression, anxiety and stress in pregnant women diagnosed with foetal anomaly. This descriptive and correlational study was conducted in an advanced prenatal evaluation unit of a university hospital between December 2021 and May 2022. The study data collected from 131 pregnant women through a personal information form, depression, anxiety and stress scale (DASS-42) and multidimensional scale of perceived social support (MSPSS). Most of the pregnant women were in the second trimester of pregnancy, and more than half had been advised by a healthcare professional to terminate their pregnancy. Overall, the pregnant women reported moderate levels of social support, while their depression, anxiety and stress levels varied. There was a weak negative correlation between perceived social support from family, friends and multidimensional sources with stress, but the effect rate was low. Most pregnant women diagnosed with foetal anomaly have normal levels of depression, stress and anxiety. There is a weak negative correlation between perceived social support and stress, with family and friend support affecting stress levels at a low rate. Professional support should be provided, and both the woman's mental health and social support mechanisms must be evaluated. This study highlights the importance of social support in managing stress among pregnant women with foetal anomalies. While most women had normal levels of depression, anxiety and stress, increased social support from family and friends was shown to reduce stress. The findings underscore the need for healthcare professionals to assess and strengthen mental health and social support systems in this vulnerable population, informing interventions to improve psychosocial outcomes. This descriptive and correlational study adhered to the CONSORT guidelines for reporting non-randomised trials. No patient or public contribution.