A Confidence Interval for the Difference Between Standardized Regression Coefficients.

Researchers are often interested in comparing predictors, a practice commonly done via informal comparisons of standardized regression slopes. However, formal interval-based approaches offer advantages over informal comparison. Specifically, this article examines a delta-method-based confidence interval for the difference between two standardized regression coefficients, building upon previous work on confidence intervals for single coefficients. Using Monte Carlo simulation studies, the proposed approach is evaluated at finite sample sizes with respect to coverage rate, interval width, Type I error rate, and statistical power under a variety of conditions, and is shown to outperform an alternative approach that uses the standard covariance matrix found in regression textbooks. Additional simulations evaluate current software implementations, small sample performance, and multiple comparison procedures for simultaneously testing multiple differences of interest. Guidance on sample size planning for narrow confidence intervals, an R function to conduct the proposed method, and two empirical demonstrations are provided. The goal is to offer researchers a different tool in their toolbox for when comparisons among standardized coefficients are desired, as a supplement to, rather than a replacement for, other potentially useful analyses.

Significance of Plastic Recycling with the Focus on Polyesters - Creating a Circular Economy.

Plastics materials are essential in every part of our lives, resulting in their increasing production and consumption. Consequently, recycling of plastics has been of great importance in the last decades. Among all types of plastics, polyesters have become very appealing for numerous kinds of applications, making their recycling crucial. Several techniques have been developed for the recycling of plastics with the aim of eliminating the waste accumulated, as well as to create a circular economy.

Effects of Curcuminoids and Surfactant-Formulated Curcumin on Chemo-Resistant Colorectal Cancer.

Colorectal cancer (CRC) is a leading cause of cancer-related death in the United States, and chronic gut inflammation is a risk factor for CRC initiation and development. Curcuma longa L., or turmeric, has become one of the most studied herbal medicines in recent years due to its anticancer potentials. It is generally accepted that the major component in turmeric is curcuminoids, and the active constituent in curcuminoids is curcumin. However, unprocessed curcumin is characterized by poor water solubility, which means low bioavailability in humans. To increase the bioavailability of curcumin, in this study, we utilized a novel surfactant-formulated curcumin (CuminUP60[Formula: see text]) and evaluated its CRC chemopreventive activities. Compared with the chemo-sensitive CRC cell line HCT-116, the management of the CRC SW-480 cell line is a challenge, since the latter is chemo-resistant. In other words, these cancer cells resist the effects of the chemotherapy. Using the newly formulated CuminUP60[Formula: see text] water solution, this study demonstrated its strong antiproliferative effects on the SW-480 cells in a dose- and time-dependent manner. This new formulation induced early apoptosis and arrested the cell cycle in the G2/M phase via the upregulation of cyclin B1. We also observed that this new formulation possessed inhibitory effects on Th17 cell differentiation, which regulates the body's immune response against gut malignancies. In summary, our results exhibited a potential clinical utility of the surfactant-formulated curcumin in chemo-resistant colorectal cancer management.

Evaluating avoidable heterogeneity in exploratory factor analysis results.

Meaningful interpretations of scores derived from psychological scales depend on the replicability of psychometric properties. Despite this, and unexpected inconsistencies in psychometric results across studies, psychometrics has often been overlooked in the replication literature. In this article, we begin to address replication issues in exploratory factor analysis (EFA). We use a Monte Carlo simulation to investigate methodological choices made throughout the EFA process that have the potential to add heterogeneity to results. Our findings show that critical decision points for EFA include the method for determining the number of factors as well as rotation. The results also demonstrate the relevancy of data characteristics, as some contexts are more susceptible to the effects of methodological choice on the heterogeneity of results. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Assessing the Mental Wellbeing and Help-Seeking Behaviors of Pre-Veterinary Undergraduates at a Land-Grant Institution.

Recent research conducted within the veterinary profession has reported higher rates of depression and stress than the general US population. While this decline in mental wellbeing has been documented in Doctor of Veterinary Medicine (DVM) students and veterinary professionals, there is a lack of research on the mental wellbeing of the pre-veterinary population. This gap led the authors to conduct a survey in the fall of 2021 utilizing the DASS-21 and ATSPPH-sf inventories to assess the levels of depression, anxiety, stress, and help-seeking stigma in pre-veterinary students to better understand when the decline in veterinary mental wellbeing begins. A pre-test survey was completed by 233 pre-veterinary students in September, and an identical post-test survey was completed by 184 pre-veterinary students in November. From the pre- and post-test data, depression, anxiety, and stress scores increased as students advanced in academic status during their undergraduate degree. Juniors reported the highest averages of depression, anxiety, and stress compared to their peers. In the post-test, sophomores and juniors exhibited higher rates of depression than freshmen, and juniors and seniors exhibited higher rates of stress than freshmen. Current VMCAS applicants exhibited higher levels of stress than non-VMCAS applicants in the pre-test, and lower levels of stress in the post-test. In both the pre-test and post-test data, respondents averaged a neutral attitude toward help-seeking. Based on these results, a decline in pre-veterinary mental wellbeing occurs as students' progress in their undergraduate career and should be further studied to assess its impact on Doctor of Veterinary Medicine and veterinary professional wellbeing.

Assessment of a novel continuous cleaning device using metatranscriptomics in diverse hospital environments.

Introduction: Despite routine implementation of cleaning and disinfection practices in clinical healthcare settings, high-touch environmental surfaces and contaminated equipment often serve as reservoirs for the transmission of pathogens associated with healthcare-associated infections (HAIs). Methods: The current study involved the analysis of high-touch surface swabs using a metatranscriptomic sequencing workflow (CSI-Dx™) to assess the efficacy of cleanSURFACES® technology in decreasing microbial burden by limiting re-contamination. This is a non-human single center study conducted in the Emergency Department (ED) and on an inpatient Oncology Ward of Walter Reed National Military Medical Center that have followed hygienic practices during the COVID-19 pandemic environment. Results: Although there was no difference in observed microbial richness (two-tailed Wilcoxon test with Holm correction, P > 0.05), beta diversity findings identified shifts in microbial community structure between surfaces from baseline and post-intervention timepoints (Day 1, Day 7, Day 14, and Day 28). Biomarker and regression analyses identified significant reductions in annotated transcripts for various clinically relevant microorganisms' post-intervention, coagulase-negative staphylococci and Malassezia restricta, at ED and Oncology ward, respectively. Additionally, post-intervention samples predominantly consisted of Proteobacteria and to a lesser extent skin commensals and endogenous environmental microorganisms in both departments. Discussion: Findings support the value of cleanSURFACES®, when coupled with routine disinfection practices, to effectively impact on the composition of active microbial communities found on high-touch surfaces in two different patient care areas of the hospital (one outpatient and one inpatient) with unique demands and patient-centered practices.

Questionable research practices and cumulative science: The consequences of selective reporting on effect size bias and heterogeneity.

Despite increased attention to open science and transparency, questionable research practices (QRPs) remain common, and studies published using QRPs will remain a part of the published record for some time. A particularly common type of QRP involves multiple testing, and in some forms of this, researchers report only a selection of the tests conducted. Methodological investigations of multiple testing and QRPs have often focused on implications for a single study, as well as how these practices can increase the likelihood of false positive results. However, it is illuminating to consider the role of these QRPs from a broader, literature-wide perspective, focusing on consequences that affect the interpretability of results across the literature. In this article, we use a Monte Carlo simulation study to explore the consequences of two QRPs involving multiple testing, cherry picking and question trolling, on effect size bias and heterogeneity among effect sizes. Importantly, we explicitly consider the role of real-world conditions, including sample size, effect size, and publication bias, that amend the influence of these QRPs. Results demonstrated that QRPs can substantially affect both bias and heterogeneity, although there were many nuances, particularly relating to the influence of publication bias, among other factors. The present study adds a new perspective to how QRPs may influence researchers' ability to evaluate a literature accurately and cumulatively, and points toward yet another reason to continue to advocate for initiatives that reduce QRPs. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The effects of the 4/20 cannabis holiday and adult-use cannabis legalization on medical cannabis sales and medical cannabis patient registration in Arizona.

BACKGROUND: This study examined whether the 4/20 cannabis holiday was associated with increases in medical cannabis sales from licensed dispensaries in Arizona from 2018-2021, and whether adult-use cannabis legalization (the vote in November 2020 and retail sales in January 2021) was associated with declines in medical cannabis sales and in the number of registered medical patients. METHODS: Data came from the Arizona Medical Marijuana Program monthly reports from January 2018-December 2021. The reports show daily sales from licensed medical cannabis dispensaries (i.e., the number of medical cannabis dispensary transactions and the amount of cannabis sold in pounds), which we averaged by week, and show the number of registered medical cannabis patients each month. Autoregressive integrated moving average models were used to test changes in these outcomes associated with the 4/20 cannabis holiday and with legalization of adult-use cannabis. RESULTS: During the week of the 4/20 cannabis holiday, medical cannabis dispensary transactions abruptly increased by an average of 2,319.4 transactions each day (95% CI: 1636.1, 3002.7), and the amount of medical cannabis sold increased by an average of 120.3 pounds each day (95% CI: 99.3-141.3). During the first week of adult-use cannabis sales in late January 2021, medical cannabis dispensary transactions abruptly decreased by an average of 5,073 transactions each day (95% CI: -5,929.5, -4216.7), and the amount of medical cannabis sold decreased by an average of 119.1 pounds each day (95% CI: -144.2, -94.0). Moreover, medical cannabis sales continued to gradually decline each week after the start of adult-use retail sales, with declines in sales preceding declines in registered patients. By December 2021, slightly over a year after the vote to legalize adult-use cannabis, the actual number of registered medical cannabis patients fell short of the forecasted number, had adult-use not been legalized, by 36.5%. Moreover, the number of medical dispensary transactions and the amount of medical cannabis sold fell short of expectations, had adult-use cannabis not been legalized, by 58% and 53%, respectively. CONCLUSIONS: Findings document the blurred boundary between medical and non-medical cannabis use and are consistent with the possibility that medical cannabis legalization contributes to increases in adult cannabis use and dependence.

Validity and reliability of the Body-Esteem Scale among a diverse sample of preadolescent youth.

Researchers have called for more psychometric research on body image assessment measures in children. The Body-Esteem Scale (BES) is a commonly used 24-item measure of self-evaluation of body image in youth, yet only one study has evaluated the psychometric properties of this measure in preadolescent children. The goal of the present study was to replicate and extend the original psychometric work on the BES by examining the factor structure, reliability, and convergent validity in a diverse sample of children ages 9-11 years old. Teachers who taught 4th- and 5th-grade students in the United States were invited to participate. A total of 556 students completed an online survey in their classrooms. Findings indicate a one-factor model best fits the data after eliminating three BES items. The BES had strong scale score consistency. Supporting the convergent validity of the BES, body-esteem scores were positively correlated with general self-esteem and body satisfaction scores, while negatively correlated with body dissatisfaction, engagement in appearance conversations, and social comparison scores. There were no significant group differences on mean BES scores between gender and grade level. Overall, the BES is suitable to assess the body esteem of preadolescent children. Future research needs to replicate these findings and examine the BES's ability to detect a change in body-esteem scores across time in youth. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Appropriately estimating the standardized average treatment effect with missing data: A simulation and primer.

Reporting standardized effects in randomized treatment studies aids interpretation and facilitates future meta-analyses and policy considerations. However, when outcome data are missing, achieving an unbiased, accurate estimate of the standardized average treatment effect, sATE, can pose challenges even for those with general knowledge of missing data handling, given that the sATE is a ratio of a mean difference to a (within-group) standard deviation. Under both homogeneity and heterogeneity of variance, a Monte Carlo simulation study was conducted to compare missing data handling strategies in terms of bias and accuracy in the sATE, under specific missingness patterns plausible for randomized pretest posttest studies. Within two broad missing data handling approaches, maximum likelihood and multiple imputation, modeling choices were thoroughly investigated including the analysis model, variance estimator, imputation algorithm, and method of pooling results across imputed datasets. Results demonstrated that although the sATE can be estimated with little bias using either maximum likelihood or multiple imputation, particular attention should be paid to the model and variance estimator, especially at smaller sample sizes (i.e., N = 50). Differences in accuracy were driven by differences in bias. To improve estimation of the sATE in practice, recommendations and a software demonstration are provided. Moreover, a pedagogical explanation of the causes of bias, described separately for the numerator and denominator of the sATE is provided, demonstrating visually how and why bias occurs with certain methods.

cleanSURFACES® intervention reduces microbial activity on surfaces in a senior care facility.

As one of the top public health challenges outlined by the Centers for Disease Control (CDC), estimates report that hospital acquired infections (HAIs) claim the lives of 99,000 Americans and cost healthcare providers over $28 billion each year. In addition to underlying conditions related to age, elderly patients in long-term care facilities are at an elevated risk of acquiring HAIs. A large percentage of HAIs is attributable to contaminated surfaces and medical devices. To that end, this study utilized a metatranscriptomic sequencing workflow (CSI-Dx™) to profile active microbial communities from surfaces in the HJ Heinz Community Living Center, a long-term care facility in the Veterans Affairs Pittsburgh Health Care System. Swabs were collected from high-touch surfaces (Keyboard, Ledge, Workstation on Wheels, Worksurfaces) before (Baseline) and after cleanSURFACES® were installed at 4 timepoints (Day 1, Day 7, Day 14, and Day 30). Microbial richness was significantly reduced after cleanSURFACES® intervention (Wilcoxon test with Holm correction, p=0.000179). Beta diversity results revealed distinct clustering between Baseline and Post-intervention samples (Adonis, p<0.001). Reduction in bacterial (Staphylococcus aureus, Staphylococcus epidermidis, Staphylococcus hominis) and fungal (Malassezia restricta, Candida albicans, Candida glabrata, and Candida orthopsilosis) expression of opportunistic pathogens was observed. Additionally, a subset of taxa (Corynebacterium, Cutibacterium acnes, and Ralstonia pickettii) was present in specific Post-intervention timepoints and surface types. This study revealed decreased microbial activity, highlighting the potential for the combinatorial application of cleanSURFACES® and regular decontamination practices to reduce the prevalence of microbes causing HAIs.

Vertical transmission of horizontally acquired social information in sticklebacks: implications for transgenerational plasticity.

There is growing evidence that offspring receive information about their environment vertically, i.e. from their parents (environmental parental effects or transgenerational plasticity). For example, parents exposed to predation risk may produce offspring with heightened antipredator defences. At the same time, organisms can gain information about the environment horizontally, from conspecifics. In this study, we provide some of the first evidence that horizontally acquired social information can be transmitted vertically across generations. Three-spined stickleback (Gasterosteus aculeatus) fathers produced larval offspring with altered antipredator behaviour when fathers received visual and olfactory cues from predator-chased neighbours. Although fathers did not personally witness their neighbours being chased (i.e. they never saw the predator), changes in offspring traits were similar to those induced by direct paternal exposure to predation risk. These findings suggest that two different non-genetic pathways (horizontal transfer of social information, vertical transfer via sperm-mediated paternal effects) can combine to affect offspring phenotypes. The implications of simultaneous horizontal and vertical transmission are widely appreciated in the context of disease and culture; our results suggest that they could be equally important for the maintenance of phenotypic variation and could have profound consequences for the rate at which information flows within and across generations.

Sample size planning for replication studies: The devil is in the design.

Replication is central to scientific progress. Because of widely reported replication failures, replication has received increased attention in psychology, sociology, education, management, and related fields in recent years. Replication studies have generally been assessed dichotomously, designated either a "success" or "failure" based entirely on the outcome of a null hypothesis significance test (i.e., p < .05 or p > .05, respectively). However, alternative definitions of success depend on researchers' goals for the replication. Previous work on alternative definitions for success has focused on the analysis phase of replication. However, the design of the replication is also important, as emphasized with the adage, "an ounce of prevention is better than a pound of cure." One critical component of design often ignored or oversimplified in replication studies is sample size planning, indeed, the details here are crucial. Sample size planning for replication studies should correspond to the method by which success will be evaluated. Researchers have received little guidance, some of which is misguided, on sample size planning for replication goals other than the aforementioned dichotomous null hypothesis significance testing approach. In this article, we describe four different replication goals. Then, we formalize sample size planning methods for each of the four goals. This article aims to provide clarity on the procedures for sample size planning for each goal, with examples and syntax provided to show how each procedure can be used in practice. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Multiplicity in multiple regression: Defining the issue, evaluating solutions, and integrating perspectives.

When multiple hypothesis tests are conducted, the familywise Type I error probability correspondingly increases. Various multiple test procedures (MTPs) have been developed, which generally aim to control the familywise Type I error rate at the desired level. However, although multiplicity is frequently discussed in the ANOVA literature and MTPs are correspondingly employed, the issue has received considerably little attention in the regression literature and it is rare to see MTPs employed empirically. The present aims are three-fold. First, within the eclectic uses of multiple regression, specific situations are delineated wherein adjusting for multiplicity may be most relevant. Second, the performance of ten MTPs amenable to regression is investigated via familywise Type I error control, statistical power, and, where appropriate, false discovery rate, simultaneous confidence interval coverage and width. Although methodologists may anticipate general patterns, the focus is on the magnitude of error inflation and the size of the differences among methods under plausible scenarios. Third, perspectives from across the scientific literature are discussed, which shed light on contextual factors to consider when evaluating whether multiplicity adjustment is advantageous. Results indicated that multiple testing can be problematic, even in nonextreme situations where multiplicity consequences may not be immediately expected. Results pointed toward several effective, balanced, MTPs, particularly those that accommodate correlated parameters. Importantly, the goal is not to universally recommend MTPs for all regression models, but. rather to identify a set of circumstances wherein multiplicity is most relevant, evaluate MTPs, and integrate diverse perspectives that suggest multiplicity adjustment or alternate solutions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A revised and expanded taxonomy for understanding heterogeneity in research and reporting practices.

Concerns about replication failures can be partially recast as concerns about excessive heterogeneity in research results. Although this heterogeneity is an inherent part of science (e.g., sampling variability; studying different conditions), not all heterogeneity results from unavoidable sources. In particular, the flexibility researchers have when designing studies and analyzing data adds additional heterogeneity. This flexibility has been the topic of considerable discussion in the last decade. Ideas, and corresponding phrases, have been introduced to help unpack researcher behaviors, including researcher degrees of freedom and questionable research practices. Using these concepts and phrases, methodological and substantive researchers have considered how researchers' choices impact statistical conclusions and reduce clarity in the research literature. While progress has been made, inconsistent, vague, and overlapping use of the terminology surrounding these choices has made it difficult to have clear conversations about the most pressing issues. Further refinement of the language conveying the underlying concepts can catalyze further progress. We propose a revised, expanded taxonomy for assessing research and reporting practices. In addition, we redefine several crucial terms in a way that reduces overlap and enhances conceptual clarity, with particular focus on distinguishing practices along two lines: research versus reporting practices and choices involving multiple empirically supported options versus choices known to be subpar. We illustrate the effectiveness of these changes using conceptual and simulated demonstrations, and we discuss how this taxonomy can be valuable to substantive researchers by helping to navigate this flexibility and to methodological researchers by motivating research toward areas of greatest need. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Altered gut microbiota composition with antibiotic treatment impairs functional recovery after traumatic peripheral nerve crush injury in mice: effects of probiotics with butyrate producing bacteria.

OBJECTIVE: Antibiotics (ABX) are widely used for life-threatening infections and also for routine surgical operations. Compelling evidence suggests that ABX-induced alterations of gut microbiota composition, termed dysbiosis, are linked with diverse disease states including neurological and neurodegenerative conditions. To combat the consequences of dysbiosis, probiotics (PBX) are widely used. ABX-induced dysbiosis is reported to impair neurological function after spinal cord injury. Traumatic peripheral nerve injury (TPNI) results in profound neurologic impairment and permanent disability. It is unknown whether ABX treatment-induced dysbiosis has any impact on TPNI-induced functional recovery, and if so, what role medical-grade PBX could have on TPNI recovery. RESULTS: In this study, ABX-induced dysbiosis and PBX-induced microbiota enrichment models were used to explore the potential role of gut microbiome in TPNI. Stool analysis with 16S ribosomal RNA (rRNA) gene sequencing confirmed ABX-induced dysbiosis and revealed that ABX-induced changes could be partially restored by PBX administration with an abundance of butyrate producing bacteria. Pre-injury ABX significantly impaired, but pre-injury PBX significantly improved post-TPNI functional recovery. Importantly, post-injury PBX protected against pre-injury ABX-induced functional impairment. These findings demonstrate that reestablishment of gut microbiota composition with butyrate producing PBX during ABX-induced dysbiosis could be a useful adjuvant therapy for TPNI.

The prospective interactive effects of alcohol expectancies and subjective response on future drinking behavior.

Although alcohol expectancies and subjective response are independent predictors of drinking, social-cognitive theory suggests that expectancies may distort one's subjective response, creating discrepancies between expected and actual alcohol effects. A recent cross-sectional study found that unmet expectancies (using difference scores) were associated with heavier drinking. However, cross-sectional data cannot establish temporal precedence, and using difference scores ignores important conditional main effects. As such, the current study sought to evaluate how expectancy-subjective response discrepancies predict future drinking using prospective data and an interaction approach. Participants (N = 258) were randomly assigned to consume alcohol (target BAC = .08%) within a placebo-controlled alcohol administration session. Alcohol expectancies and subjective response were assessed across the full valence by arousal affective space using parallel measures. Results indicated a significant high arousal positive (HIGH+) interaction, such that, as HIGH+ expectancies increased, individuals at low and mean levels of HIGH+ subjective response drank more heavily 12 months later. There was also a significant high arousal negative (HIGH-) interaction with a similar pattern of moderated effects. No interactions were found for low arousal effects. These results indicate that individuals with unmet HIGH+ and HIGH- expectancies drink more heavily 12 months later, controlling for prior drinking. This suggests that clinicians may consider recommending specific interventions (e.g., expectancy challenges vs. pharmacotherapy) based upon an individual's levels of expectancies and subjective response to optimize intervention efficacy. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Power(ful) myths: misconceptions regarding sample size in quality of life research.

PURPOSE: Carefully selecting the sample size for a research study is one of the most fundamental ways to utilize resources in an ethical manner, maximize impact and replicability, and minimize research waste when investigating questions relevant to health-related quality of life (HRQOL). Despite an increased focus on sample size in the methodological literature, the topic has received limited attention in the HRQOL field, and there are still misconceptions that can weaken even well-intentioned sample size planning. This article aims to highlight common misconceptions, provide accessible and non-technical corrections to these misconceptions, and show how HRQOL researchers can benefit from a more nuanced understanding of sample size planning. METHOD: Misconceptions were identified broadly through examples within the health, psychology, and HRQOL literatures. In examining these misconceptions, study-level (e.g., missing data, multilevel designs, multiple reported outcomes) and field-level (e.g., publication bias, replicability) issues relevant to HRQOL research were considered. RESULTS: Misconceptions include: (a) researchers should use rules of thumb or the largest sample size possible, (b) sample size planning should always focus on power, (c) planned power = actual power, (d) there is only one level of power per study, and (e) power is only relevant for the individual researcher. Throughout the article, major themes linked to these misconceptions are mapped onto recent HRQOL studies to make the connections more tangible. CONCLUSION: By clarifying several challenges and misconceptions regarding sample size planning and statistical power, HRQOL researchers will have the tools needed to augment the research literature in effective and meaningful ways.