Variance Model Research Articles

Tilted beta regression and beta-binomial regression models: Mean and variance modeling

Tilted beta regression and beta-binomial regression models: Mean and variance modeling

Effects of the Drying Technique Used on the Contents of Total Polyphenols, Flavonoids and Antioxidant Activity of Five Varieties of Mangoes (Mangifera Indica) Dried in Senegal

The Ziguinchor region (Kaguitte village), where the mango samples were collected, is an area that is very affected by post-school losses of seasonal fruit in general. Faced with this problem, the women in the GIE (economic interest group) have been processing mangoes into by-products for several years, particularly drying, which is one of the mwain techniques for preserving agricultural and food products. It is a process that is used in the production of many food products. To carry out this drying, three techniques were used: the one used by the women of the locality (Normal) and two others with osmotic dehydration for two hours and three hours respectively. After peeling, it was found that the improved varieties Knt and Kt had the highest pulp yields (60% of their total mass) and that the Sl variety had the lowest yield. In this work, we followed the variation of polyphenol contents and antioxidant powers according to the technique and the mango variety. For total polyphenols, the Folin-Ciocalteu method was used and antioxidant activity was assessed with 2,2-diphenyl-1-pycrilhydrazyl (DPPH°). The results showed that the antioxidant power, significantly decreases after treatment of the four varieties (example: Knt normal-AAR=0.83%, Treatment-2h-AAR=0.69% and Treatment-3h-AAR=0.59%) with the exception of Dr variety (Normal-AAR=0.68% and Treatment-2h-AAR=0.79% and Treatment-3h-AAR=0.78%). The determination of total polyphenols in these samples showed a much more obvious variation between varieties and less important after the treatment. Thus we have: Knt (Normal-0.07g/100g, treatment-2h-0.03g/100g and treatment-3h-0.19g/100g), Kt (Normal-0.27g/100g, treatment-2h-0.07g/100g and treatment-3h-0.06g/100g) and Sl (Normal-0.11g/100g, treatment-2h-0.07g/100g and treatment-3h-0.21g/100g) Analyses (of Variance and linear models) show that the varieties Knt (treatment-2h-0.0087g/100g and normal-0.0033g/100g), Dr (treatment-2h-0.0023g/100g and normal-0.0019g/100g) and Sl (treatment-2h-0.0023g/100g and normal-0.0017g/100g), respectively, have quite high flavonoid contents. These experimental results show that the technique used (Normal) by the local units preserves the antioxidant compounds well and in some cases it is necessary to treat the different varieties before drying them.

Effects of dental anxiety and anesthesia on vital signs during tooth extraction

BackgroundAnxiety is common preceding tooth extraction; hence, it is crucial to identify patients with dental anxiety (DA) and to manage DA. This study assessed the level of DA and influencing factors in tooth extraction patients in a dental hospital in China and changes in their blood pressure (BP) and heart rate (HR) during the tooth-extraction procedure.MethodsThe study was a cohort study. The Dental Anxiety Scale (DAS) was used to assess the level of DA of 120 patients before tooth extraction. A Demographics and Oral Health Self-Assessment Form was used to assess factors influencing DA. The correlations of DAS scores with HR and BP were measured. The effects of local anesthesia and general anesthesia on HR and BP were also compared using a Datex-Ohmeda anesthesia monitor to detect HR and BP continuously before and after anesthesia. Independent sample t-tests, OLS multiple regression model and one-way analysis of variance were applied to analysis the results.ResultsBased on the DAS score, 12.5% of the participants were identified as suffering from DA. DA was related to age, gender, and the self-assessment of oral health. The DAS score was correlated with increased BP (P < 0.05). BP showed an overall upward trend after local anesthesia, while it was generally stable after general anesthesia. The systolic BP at 4 and 5 min and the HR at 2 and 4 min increased remarkably (P < 0.05) after local anesthesia compared with those before anesthesia. The HR and BP of patients under local anesthesia were generally higher than those of patients under general anesthesia were during the operation.ConclusionsThe prevalence of DA in adults was 12.5% in this study population. DA was related to gender, age, and the self-assessment of oral health. The score of DAS was correlated with BP. Compare to local anesthesia, general anesthesia can make the vital signs of tooth extraction patients more stable.

An uncertain bi-objective mean-entropy model for portfolio selection with realistic factors

In the imprecise investment environment, there are many indeterminate factors impacting security returns. This paper introduces a portfolio optimization problem where cross-entropy is utilized to control portfolio risk within the framework of uncertainty theory and presents an uncertain bi-objective mean-entropy portfolio selection model. To be more realistic, some realistic factors such as minimum transaction lots, dividend factors and tax factors are also considered. By introducing a risk preference coefficient, the bi-objective model is converted into a single-objective model and some equivalents are discussed. Additionally, a hybrid intelligent algorithm integrating a genetic algorithm with uncertain estimation is designed to solve the proposed model. Finally, a case study is executed to confirm the practicability of the model and the performance of the algorithm, and an empirical analysis based on the proposed model and the uncertain mean–variance model is developed to illustrate the advantage of the uncertain mean-entropy model in practical investment.

The impact of continuity correction methods in Cochrane reviews with single-zero trials with rare events: A meta-epidemiological study.

Meta-analyses examining dichotomous outcomes often include single-zero studies, where no events occur in intervention or control groups. These pose challenges, and several methods have been proposed to address them. A fixed continuity correction method has been shown to bias estimates, but it is frequently used because sometimes software (e.g., RevMan software in Cochrane reviews) uses it as a default. We aimed to empirically compare results using the continuity correction with those using alternative models that do not require correction. To this aim, we reanalyzed the original data from 885 meta-analyses in Cochrane reviews using the following methods: (i) Mantel-Haenszel model with a fixed continuity correction, (ii) random effects inverse variance model with a fixed continuity correction, (iii) Peto method (the three models available in RevMan), (iv) random effects inverse variance model with the treatment arm continuity correction, (v) Mantel-Haenszel model without correction, (vi) logistic regression, and (vii) a Bayesian random effects model with binominal likelihood. For each meta-analysis we calculated ratios of odds ratios between all methods, to assess how the choice of method may impact results. Ratios of odds ratios <0.8 or <1.25 were seen in ~30% of the existing meta-analyses when comparing results between Mantel-Haenszel model with a fixed continuity correction and either Mantel-Haenszel model without correction or logistic regression. We concluded that injudicious use of the fixed continuity correction in existing Cochrane reviews may have substantially influenced effect estimates in some cases. Future updates of RevMan should incorporate less biased statistical methods.

Prevalence and mortality of haemophagocytic lymphohistiocytosis in dengue fever: a systematic review and meta-analysis.

Haemophagocytic lymphohistiocytosis (HLH) is a rare complication of dengue fever with potentially life-threatening consequences and high mortality. Therefore, this study aims to investigate the prevalence, management and outcome of HLH in dengue fever. The major electronic databases, including PubMed, ScienceDirect and Ovid SP, were searched from inception until 31 January 2024 to identify relevant studies. Pooled prevalence and mortality were calculated using the random-effects generic inverse variance model with a 95% CI. All the statistical analysis was conducted using R programming. A total of nine studies with 157 patients with HLH, 576 patients with severe dengue and 5081 patients with dengue fever were included in this meta-analysis. The prevalence of HLH in severe dengue (22.1%, 95% CI 8.07 to 48.0%) was significantly higher than the prevalence in dengue fever (3.12%, 95% CI 0.37 to 21.9%). The prevalence of HLH in severe dengue was higher in the paediatric population (22.8%, 95% CI 3.9 to 68.4%) compared with the adult population (19.0%, 95% CI 3.0 to 63.9%). The overall mortality rate was 20.2% (95% CI 9.7 to 37.2%). The prevalence of dengue-associated HLH was low in patients with dengue fever but is significantly higher in patients with severe dengue and a high mortality rate.

Special economic zone dynamics and firm performance: Evidence from an emerging economy

AbstractThe empirical literature on Special economic zones (SEZs) has shown that SEZs have become critical policy tools for advancing economic and firm performance, especially in developing economies where financial capital, human capital, technology and technical know‐how to drive these performances are in limited supply. While the importance and effects of SEZs cannot be overemphasised and are well documented, particularly in Asia, SEZs' operationalisation, structure and policy practice appear to vary, especially in Ghana and hence a need to examine SEZ effects on firm performance in Ghana. Thus, following the difference in the structure and practice of SEZs and its limited empirical evidence in African emerging economies, this present study employs analysis of variance, treatment estimation and regression models covering 328 firms between 2018 and 2021 to shed insights on how SEZ dynamics/features affect firm performance (measured with total factor productivity, labour productivity, profitability, revenue generation and value added) in Ghana. Our results suggest firms operating under SEZ dynamics have varying significant effects on firm performance. Thus, while firms registered as SEZ firms and operating in SEZ enclaves and firms registered as SEZ firms and operating outside SEZ enclaves have significant positive effects on the performance indicators of firms, firms that are not registered as SEZ firms and operating outside SEZ enclaves detracted firm performance. Clearly, firms that possess SEZ dynamics/features tend to promote performance of firms as denoted in the empirical literature and theoretical approaches to SEZ. Arguably, the tax holidays, cheaper tariffs and infrastructural benefits derived by SEZ registered firms boost their productivity, revenue and profit performance higher than non‐SEZ registered firms. These results suggest policymakers/government should reduce administrative bottlenecks of registering as SEZ firms and operating in SEZ enclaves to increase the number of SEZ firm operations to induce performance and create room for fiscal revenue.

A cautionary tale on the effects of different covariance structures in linear mixed effects modeling of fMRI data.

With the steadily increasing abundance of longitudinal neuroimaging studies with large sample sizes and multiple repeated measures, questions arise regarding the appropriate modeling of variance and covariance. The current study examined the influence of standard classes of variance-covariance structures in linear mixed effects (LME) modeling of fMRI data from patients with pediatric mild traumatic brain injury (pmTBI; N = 181) and healthy controls (N = 162). During two visits, participants performed a cognitive control fMRI paradigm that compared congruent and incongruent stimuli. The hemodynamic response function was parsed into peak and late peak phases. Data were analyzed with a 4-way (GROUP×VISIT×CONGRUENCY×PHASE) LME using AFNI's 3dLME and compound symmetry (CS), autoregressive process of order 1 (AR1), and unstructured (UN) variance-covariance matrices. Voxel-wise results dramatically varied both within the cognitive control network (UN>CS for CONGRUENCY effect) and broader brain regions (CS>UN for GROUP:VISIT) depending on the variance-covariance matrix that was selected. Additional testing indicated that both model fit and estimated standard error were superior for the UN matrix, likely as a result of the modeling of individual terms. In summary, current findings suggest that the interpretation of results from complex designs is highly dependent on the selection of the variance-covariance structure using LME modeling.

Inflammatory bowel disease and allergic diseases: A Mendelian randomization study.

Inflammatory bowel disease (IBD) and allergic diseases possess similar genetic backgrounds and pathogenesis. Observational studies have shown a correlation, but the exact direction of cause and effect remains unclear. The aim of this Mendelian randomization (MR) study is to assess bidirectional causality between inflammatory bowel disease and allergic diseases. We comprehensively analyzed the causal relationship between inflammatory bowel disease (IBD), Crohn's disease (CD), ulcerative colitis (UC) and allergic disease (asthma, Hay fever, and eczema) as a whole, allergic conjunctivitis (AC), atopic dermatitis (AD), allergic asthma (AAS), and allergic rhinitis (AR) by performing a bidirectional Mendelian randomization study using summary-level data from genome-wide association studies. The analysis results mainly came from the random-effects model of inverse variance weighted (IVW-RE). In addition, multivariate Mendelian randomization (MVMR) analysis was conducted to adjust the effect of body mass index (BMI) on the instrumental variables. The IVW-RE method revealed that IBD genetically increased the risk of allergic disease as a whole (OR = 1.03, 95% CI = 1.01-1.04, fdr.p = .015), AC (OR = 1.04, 95% CI = 1.01-1.06, fdr.p = .011), and AD (OR = 1.06, 95% CI = 1.02-1.09, fdr.p = .004). Subgroup analysis further confirmed that CD increased the risk of allergic disease as a whole (OR = 1.02, 95% CI = 1.00-1.03, fdr.p = .031), AC (OR = 1.03, 95% CI = 1.01-1.05, fdr.p = .012), AD (OR = 1.06, 95% CI = 1.02-1.09, fdr.p = 2E-05), AAS (OR = 1.05, 95% CI = 1.02-1.08, fdr.p = .002) and AR (OR = 1.03, 95% CI = 1.00-1.07, fdr.p = .025), UC increased the risk of AAS (OR = 1.02, 95% CI = 0.98-1.07, fdr.p = .038). MVMR results showed that after taking BMI as secondary exposure, the causal effects of IBD on AC, IBD on AD, CD on allergic disease as a whole, CD on AC, CD on AD, CD on AAS, and CD on AR were still statistically significant. No significant association was observed in the reverse MR analysis. This Mendelian randomized study demonstrated that IBD is a risk factor for allergic diseases, which is largely attributed to its subtype CD increasing the risk of AC, AD, ASS, and AR. Further investigations are needed to explore the causal relationship between allergic diseases and IBD.

Synthesis of Cr(VI)-adsorbed carbon from Artocarpus heterophyllus peel waste: activated conditions, characterizations and adsorption isotherm

Lignocellulosic biomass is often activated with phosphoric acid to make value-added goods. However, statistical effects of impregnation ratio (IR) and activation temperature (AT) on Artocarpus heterophyllus peel-derived activated carbon have not been studied. This study used an experimental approach and regression model to investigate these impacts on Cr(VI) adsorption capacity. A regression model and analysis of variance assessed these two factors’ variation. The activated carbon’s morphology, surface functional groups, and Cr(VI) adsorption isotherm at optimal conditions were examined using Brunauer, Emmett and Teller, X-ray diffraction, Scanning Electron Microscopy, Fourier Transform Infrared Spectrometry, Boehm titration, pH drift methods, Langmuir, and Freundlich models. The quadratic regression model described the influence of AT and IR on Cr(VI) adsorption capacity and found the best values of 545°C and 4:1. When IR and AT ranged from 1.89 to 4.0 and 330°C to 545°C respectively, the combined effect caused the most variance and had a synergistic effect on Cr(VI) adsorption capacity. This activated carbon at optimal conditions had many carboxylic groups, a porous, amorphous surface, and a maximum mono-layer capacity of 29.498 mg g-1. Freundlich is a better Cr(VI) adsorption model. This study will give a technical way and advocate for the utilization of activated carbon derived from Artocarpus heterophyllus peel as an effective material for the removal of chromium (VI) from water.

Investigating mental health and well-being among MBA students during campus placement season in India

Purpose This paper aims to identify the factors that influence students' mental health, particularly in the context of MBA students passing through an emotional phase of the placement season. Design/methodology/approach A conceptual model through literature has been proposed. To test the proposed model of this study, a survey was conducted among the students of three MBA institutes of national reputation in India. The study's hypotheses were investigated using partial least squares-structural equations modeling and analysis of variance. To corroborate the findings of the survey data, a qualitative study in the form of open-ended interviews with five students was conducted. Findings The study revealed that female students, non-engineering graduates and students from non-family business backgrounds undergo stress, anxiety and depression higher than their classmates. Cumulative grade point average and bank loans do not significantly affect students' stress, anxiety and depression during the placement season. It was found that the increase in the levels of mindfulness scores led to a significant negative impact on stress, anxiety and depression among the students. Originality/value There is a gap in the literature that addresses the mental health of MBA students during campus job placements and the role of mindfulness in mitigating stress, anxiety and depression in these students. This research attempts to fill these research gaps.

Care Needs of Older Adults With Urinary Incontinence: A Cross-Sectional Study.

To explore care requirements of older adults with urinary incontinence (UI) and contributing factors. This cross-sectional study used the Older Adults Urinary Incontinence Care Needs Inventory to survey participants with UI in three large-scale tertiary hospitals located in Guangzhou City, China, from January 2023 to November 2023. Statistical analyses, including analysis of variance, t tests, correlation analyses, and linear regression models, were conducted to assess factors influencing participants' care needs. A total of 530 older adults with UI participated in the survey and mean standardized score for overall care needs was 78.65 (SD = 5.01), with mean scores for each dimension ranging from 70.88 (SD = 10.55) for social participation needs to 82.45 (SD = 7.11) for health education needs. Factors that were found to influence incontinence care needs in older adults included age, literacy level, number of leaks, and type of disease (F = 37.07, adjusted R2 = 0.290, p < 0.001). Comprehensive care for older adults with UI, encompassing physiological, psychological, and social aspects, is crucial. It is essential to tailor care to individual needs and characteristics, taking into account factors, such as age and education, to ensure effective care. [Journal of Gerontological Nursing, 50(5), 43-49.].

An interlaboratory study for assessing repeatability and reproducibility of the data generated by rotating drum powder rheometers (Part 1: Granudrum)

The National Institute of Standards and Technology (NIST) organized an interlaboratory study to assess the repeatability and reproducibility of the data generated by two commercially available rotating drum powder rheometers namely, Granudrum and Revolution Powder Analyzer. Part 1 of this interlaboratory study focuses on the Granudrum rheometer. In total, thirteen laboratories comprised of industry, academia, and a national laboratory participated in this study. A nickel-based alloy, a titanium alloy, and a stainless-steel alloy in powder forms were tested, and an analysis of variance (ANOVA) model was used to rank the contributions of the study factors to the observed variability in the data. First, a maximum of five study factors were considered: material, sample, rotation speed, test, and participant (lab), which provides the ability to assess interactions, such as between lab and rotation speed and lab and material. The ANOVA results indicate that the ‘Flow Angle’ data showed 6% of its variation attributable to repeatability and 5% to reproducibility, whereas the ‘Cohesive Index’ data showed 21% of its variation attributable to repeatability and 17% to reproducibility. Next, because using the different rotation speeds and materials can add significant variability to the overall data, we also present separate ANOVA results for each combination of rotation speed and material. These results provide further insight into the repeatability and reproducibility of the Granudrum-generated data.

Modeling the Subgrid-Scale Scalar Variance: A Priori Tests and Application to Supersaturation in Cloud Turbulence

Abstract The subgrid-scale (SGS) scalar variance represents the “unmixedness” of the unresolved small scales in large-eddy simulations (LES) of turbulent flows. Supersaturation variance can play an important role in the activation, growth, and evaporation of cloud droplets in a turbulent environment, and therefore efforts are being made to include SGS supersaturation fluctuations in microphysics models. We present results from a priori tests of SGS scalar variance models using data collected in turbulent Rayleigh–Bénard convection in the Michigan Tech Pi chamber for Rayleigh numbers Ra ∼ 108–109. Data from an array of 10 thermistors were spatially filtered and used to calculate the true SGS scalar variance, a scale-similarity model, and a gradient model for dimensionless filter widths of h/Δ = 25, 14.3, and 10 (where h is the height of the chamber and Δ is the spatial filter width). The gradient model was found to have fairly low correlations (ρ ∼ 0.2), with the most probable values departing significantly from the one-to-one line in joint probability density functions (JPDFs). However, the scale-similarity model was found to have good behavior in JPDFs and was highly correlated (ρ ∼ 0.8) with the true SGS variance. Results of the a priori tests were robust across the parameter space considered, with little dependence on Ra and h/Δ. The similarity model, which only requires an additional test filtering operation, is therefore a promising approach for modeling the SGS scalar variance in LES of cloud turbulence and other related flows.

Do Hypoalbuminaemia Increase the Risk of Surgical Site Infection in Neck of Femur Fracture Patients: A Systematic Review and Meta-Analysis.

Serum albumin plays an important role in physiological and inflammatory haemostasis, and low serum levels are linked with an increased incidence of surgical site infections (SSI). Although this has been demonstrated in the spine and elective arthroplasty settings, there is a paucity of evidence with regard to the effect of low serum albumin on rates of SSI following surgery for adult patients suffering from traumatic and acute hip fractures. A systematic review was conducted using the PRISMA guidelines. Four databases were searched for randomised controlled trials (RCTs), cohort studies, and case-controlled studies. The risk of bias was assessed using the Newcastle-Ottawa Score (NOS). Data was collected and pooled using RevMan Web software. Results were reported as odds ratios (OR) with 95% confidence intervals (CI) and statistical significance of p <0.05. An inverse variance model was used in the meta-analysis. Six retrospective studies (five cohorts and one case-control) with a total of 43,059 patients were included. 45.3% (n=19 496) had low serum albumin (<3.5 g/dL). Hypoalbuminemia was associated with a significantly higher risk of any form of SSI (OR 1.25, p=0.008) and deep SSI (OR 1.76, p=0.05). There was no statistical significance between hypoalbuminemia and the incidence of superficial SSI (OR 1.06, p=0.77). Organ-space SSI was associated with hypoalbuminemia, although one study reported this with poor statistical significance (OR 8.74, p<0.054). Hypoalbuminemia increases the risk of most forms of surgical site infections, both superficial and deep. There is a weak conclusion to draw between the incidence of deep-space organ infections and low serum albumin.

Effect of scan body designs and internal conical angles on the 3-dimensional accuracy of implant digital scans

Statement of problemAxial displacement is inevitable when connecting scan bodies to implants for digital scans using intraoral scanners, and axial displacement may reduce implant position accuracy in digital casts. However, studies assessing scan body type and accuracy are lacking. PurposeThe purpose of this in vitro study was to assess the linear and angular displacements of implants in digital casts using 2 scan body types with or without a vertical stop to minimize the axial displacement and 2 internal conical connection implants (ICCIs) with different internal conical angles. Material and methodsTwo identical reference casts were fabricated from epoxy resin by duplicating a partially edentulous mandibular dentiform. Each cast received 3 implants in the left first premolar, first molar, and second molar regions. One cast received an ICCI with a 7-degree internal conical angle (7-degree ICCI), and the other received an ICCI with an 11-degree internal conical angle (11-degree ICCI). A 10-mm polyetheretherketone (PEEK) cube was attached to the buccal area of the mandibular second premolar of each reference cast. A vertical stop was used in the experimental scan bodies to minimize the axial displacement, and conventional scan bodies were hand tightened to the implants in the reference casts. An intraoral scanner was used to fabricate 4 digital cast groups (2 implant types and 2 scan body types; each group had 10 casts). A coordinate measuring machine and digital inspection software program were used to measure the implant platform centroids (x, y, z) and projection angles (θXY, θYZ, θZX) of implant long axes in the reference and digital casts, respectively. One-way analysis of variance (ANOVA) and linear mixed model both with Tukey post hoc and 2-way ANOVA tests were performed to assess the significance of linear and angular displacements between groups (α=.05). ResultsSignificant differences were noted in all linear displacement variables among the 4 digital cast groups, except for Δx in the left first premolar implant. For the 7-degree ICCI, the linear displacement was statistically similar in the experimental and conventional scan bodies. However, for the 11-degree ICCIs, the experimental scan body group resulted in significantly smaller Δy, Δz, and Δd (Δd2=Δx2+Δy2+Δz2) than the conventional scan body group (P<.05). Overall, the 11-degree ICCIs demonstrated a significantly greater linear displacement than the 7-degree ICCI, regardless of the scan body type (P<.05). Significant differences between the test groups were observed for 10 of the 12 angular displacement variables (P<.05). ConclusionsThe 11-degree ICCIs demonstrated significantly greater linear displacements in Δy, Δz, and Δr than the 7-degree ICCIs. The experimental scan bodies with a vertical stop demonstrated significantly smaller linear displacements in the 11-degree ICCIs.

Calculation of Temperature Action of Flat Steel Box Girder of Long-Span Bridges Using a Joint Model of ARMA Mean and GARCH Variance

Using the monitoring temperature field data from the flat steel box girder, the time histories of temperature data and temperature difference data are investigated using the extreme value analysis method. Because the calculation of standard values of temperature action needs massive temperature field data, the simulation of daily extreme values of temperature data and temperature difference data is carried out by virtual of Probability Statistical Method. The seasonal and nonstationary trend terms are described using the weighted sum of a series of basic elementary functions. The random fluctuation term is represented by a joint model of ARMA mean and GARCH variance. Moreover, the yearly extreme values of temperature data and temperature difference data are considered as statistical variables, and their standard values of temperature action with 50-year return period are calculated by means of the general extreme value (GEV) distributive function. The research results can supply references for temperature action of flat steel box girder.

Attachment Styles, Vulnerable Narcissism, Emotion Dysregulation and Perceived Social Support: A Mediation Model

Attachment styles have been shown to significantly influence individuals’ social and emotional functioning. Furthermore, vulnerable narcissism and emotion dysregulation are both relevant factors to consider in understanding individuals’ social interactions and support networks. However, the mechanisms underlying such relationships are not fully understood yet. The objective of this research was to assess whether vulnerable narcissism and emotion dysregulation sequentially mediate the connection between different attachment styles and perceived social support. Self-report questionnaires were administered to a sample of 1260 emerging adults (50% women) aged 18–25. Multivariate Analysis of Variance (MANOVA) and Structural Equation Modeling (SEM) were conducted. Preliminary analyses indicated significant effects of gender on some study variables, thus gender was controlled in the mediation analyses. The findings indicated that there was no mediation for secure attachment, full mediation for dismissing and preoccupied attachment, and partial mediation for fearful attachment. The results suggest that addressing vulnerable narcissism and emotion dysregulation may be crucial in promoting individuals’ perceived social support, particularly for those with insecure attachment styles. Furthermore, the findings emphasize the need for personalized approaches, as interventions may need to be tailored to individuals’ unique attachment styles.

Virtual Reality Distraction for Needle-Related Pain and Distress in Children: A Multicenter Randomized Controlled Trial.

This international multicenter randomized controlled trial aimed to compare the effectiveness of virtual reality (VR) distraction with an identical non-VR game in reducing needle-related pain and anxiety in children undergoing venous blood draw. The study involved 304 children aged 5-9 years undergoing a blood draw procedure, randomly allocated to one of three groups: VR distraction, non-VR distraction, and control group (usual care). The distraction task was based on the Multiple Object Tracking (MOT) paradigm, and the game was identical in design and gameplay for both VR and non-VR distraction groups. The primary outcome was self-reported pain intensity using the Faces Pain Scale-Revised (FPS-R). Secondary outcomes included child distress, attention/distraction to the blood draw, and parent and medical staff satisfaction with procedure. Analyses were conducted using analysis of variance and multivariable linear regression models. The results showed that VR distraction and non-VR distraction performed similarly, showing large effect sizes compared with standard care. There was no significant difference between the two types of distraction. The study's findings suggest that VR and non-VR distraction are similarly effective in reducing needle-related pain and anxiety in children undergoing venous blood draw. This is the first well-powered study comparing modern VR distraction with an identical task displayed on a smartphone or monitor screen. The study's results have important implications for using VR in clinical settings and suggest that investing in expensive VR equipment for acute pain management may not be necessary. The study protocol was pre-registered on Open Science Framework at https://osf.io/frsyc.

Perceived control, self-management efficacy, and quality of life in patients treated with radiation therapy for breast cancer: a longitudinal study.

This longitudinal study aims to examine the present state of perceived control, self-management efficacy, and overall quality of life (QoL) in patients with breast cancer undergoing radiotherapy, and gain insight into the dynamic trends and factors that influence the quality of life experienced by patients during the course of radiotherapy. Participants completed the Cancer Experience and Efficacy Scale (CEES), Strategies Used by People to Promote Health (SUPPH), and Functional Assessment of Cancer Therapy- Breast (FACT-B). The data was analyzed using the software SPSS26.0. Repeated measures analysis of variance (ANOVA) and mixed-effects linear models were used to analyze trends in perceived control, self-management efficacy, and QoL at three-time points, as well as factors affecting QoL during radiotherapy. Perceived control and self-management efficacy were associated with QoL over the course of the radiotherapy. Self-management efficacy (β = 0.30, P < 0.001), presence of chemotherapy (β = 18.33, P = 0.024), and duration of illness (β = 2.25, P = 0.028) had a positive effect on the change in QoL, while time (β = - 2.95, P < 0.001), cancer experience (β = - 0.46, P < 0.001), and type of medical insurance (β = - 2.77, P = 0.021) had the negative effect on the change in QoL. The QoL, perceived control, and self-efficacy of patients with breast cancer show dynamic changes during radiotherapy. The higher the self-efficacy, the better the QoL, and the worse the QoL when the sense of disease control is poor. At the same time, more attention should be paid to the QoL of breast cancer radiotherapy patients with a long course of the disease, receiving chemotherapy, and different medical payment methods.