Tag: statistics

Rehabil Psychol. 2024 Feb 15. doi: 10.1037/rep0000549. Online ahead of print.

ABSTRACT

PURPOSE/OBJECTIVES: The fear-avoidance model is a well-established framework for understanding the transition from acute to chronic pain. However, its applicability to concussions is not yet well understood. Here, we conduct the first mixed methods analysis of the fear-avoidance model in young adults with a recent concussion and co-occurring anxiety and assess the model’s alignment with their lived experience.

RESEARCH METHOD/DESIGN: We conducted a mixed methods analysis using a cross-sectional parallel design. Seventeen participants completed questionnaires corresponding with the elements in the fear-avoidance model (e.g., pain catastrophizing, avoidance, disability, anxiety, depression, etc.) and participated in semistructured interviews probing their experiences following their concussion between March 2021 and February 2022. We calculated bivariate correlations for quantitative data and analyzed the qualitative data using hybrid inductive-deductive thematic analysis.

RESULTS: Quantitative results demonstrated strong and medium-sized correlations among theorized relationships within the fear-avoidance model (rs = .40-.85) with the majority being statistically significant. Qualitative results provided substantial convergent and complementary support (e.g., bi-directionality of some relationships, associations between nonadjacent model components, centrality of anxiety in symptom persistence) for the application of the fear-avoidance model to concussions. Findings highlighted additional factors (social factors and post-injury endurance patterns) relevant to this population.

CONCLUSION/IMPLICATIONS: The fear-avoidance model is a useful lens for understanding the lived experience of young adults with a recent concussion and co-occurring anxiety. Psychosocial treatment for this population would benefit from focusing on the interplay of concussion symptoms, anxiety, depression, disability, and pain-related fear, offering adaptive confrontation strategies, and addressing the interpersonal impact of concussion. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:38358710 | DOI:10.1037/rep0000549

J Consult Clin Psychol. 2024 Mar;92(3):150-164. doi: 10.1037/ccp0000873.

ABSTRACT

OBJECTIVE: This is a randomized controlled trial (NCT03056157) of an enhanced adaptive disclosure (AD) psychotherapy compared to present-centered therapy (PCT; each 12 sessions) in 174 veterans with posttraumatic stress disorder (PTSD) related to traumatic loss (TL) and moral injury (MI). AD employs different strategies for different trauma types. AD-Enhanced (AD-E) uses letter writing (e.g., to the deceased), loving-kindness meditation, and bolstered homework to facilitate improved functioning to repair TL and MI-related trauma.

METHOD: The primary outcomes were the Sheehan Disability Scale (SDS), evaluated at baseline, throughout treatment, and at 3- and 6-month follow-ups (Brief Inventory of Psychosocial Functioning was also administered), the Clinician-Administered PTSD Scale (CAPS-5), the Dimensions of Anger Reactions, the Revised Conflict Tactics Scale, and the Quick Drinking Screen.

RESULTS: There were statistically significant between-group differences on two outcomes: The intent-to-treat (ITT) mixed-model analysis of SDS scores indicated greater improvement from baseline to posttreatment in the AD-E group (d = 2.97) compared to the PCT group, d = 1.86; -2.36, 95% CI [-3.92, -0.77], t(1,510) = -2.92, p < .001, d = 0.15. Twenty-one percent more AD-E cases made clinically significant changes on the SDS than PCT cases. From baseline to posttreatment, AD-E was also more efficacious on the CAPS-5 (d = 0.39). These differential effects did not persist at follow-up intervals.

CONCLUSION: This was the first psychotherapy of veterans with TL/MI-related PTSD to show superiority relative to PCT with respect to functioning and PTSD, although the differential effect sizes were small to medium and not maintained at follow-up. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:38358703 | DOI:10.1037/ccp0000873

Emotion. 2024 Feb 15. doi: 10.1037/emo0001344. Online ahead of print.

ABSTRACT

Emotion regulation (ER) variability refers to how individuals vary their use of ER strategies across time. It helps individuals to meet contextual needs, underscoring its importance in well-being. The theoretical foundation of ER variability recognizes two constituent processes: strategy switching (e.g., moving from distraction to social sharing) and endorsement change (e.g., decreasing the intensity of both distraction and social sharing). ER variability is commonly operationalized as the SD between strategies per observation (between-strategy SD) or within a strategy across time (within-strategy SD). In this article, we show that these SD-based approaches cannot sufficiently capture strategy switching and endorsement change, leading to ER variability indices with poor validity. We propose Bray-Curtis dissimilarity, a measure used in ecology to quantify biodiversity variability, as a theory-informed ER variability index. First, we demonstrate how Bray-Curtis dissimilarity is more sensitive than SD-based approaches in detecting ER variability through two simulation studies. Second, assuming that higher ER variability is adaptive in daily life, we test the relation between ER variability and negative affect in three experience sampling method data sets (total N = [70, 95, 200], number of moment-level observations = [5,040, 6,329, 14,098]). At both the moment level and person level, higher Bray-Curtis dissimilarity predicted lower negative affect more consistently than SD-based indices. We conclude that Bray-Curtis dissimilarity may better capture moment-level within-person ER variability and could have implications for studying variability in other multivariate dynamic processes. The article is accompanied by an R tutorial and practical recommendations for using Bray-Curtis dissimilarity with experience sampling method data. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:38358696 | DOI:10.1037/emo0001344

Psychol Methods. 2024 Feb 15. doi: 10.1037/met0000643. Online ahead of print.

ABSTRACT

The linear mixed model (LMM) and latent growth model (LGM) are frequently applied to within-subject two-group comparison studies to investigate group differences in the time effect, supposedly due to differential group treatments. Yet, research about LMM and LGM in the presence of outliers (defined as observations with a very low probability of occurrence if assumed from a given distribution) is scarce. Moreover, when such research exists, it focuses on estimation properties (bias and efficiency), neglecting inferential characteristics (e.g., power and type-I error). We study power and type-I error rates of Wald-type and bootstrap confidence intervals (CIs), as well as coverage and length of CIs and mean absolute error (MAE) of estimates, associated with classical and robust estimations of LMM and LGM, applied to a within-subject two-group comparison design. We conduct a Monte Carlo simulation experiment to compare CIs and MAEs under different conditions: data (a) without contamination, (b) contaminated by within-subject outliers, (c) contaminated by between-subject outliers, and (d) both contaminated by within- and between-subject outliers. Results show that without contamination, methods perform similarly, except CIs based on S, a robust LMM estimator, which are slightly less close to nominal values in their coverage. However, in the presence of both within- and between-subject outliers, CIs based on robust estimators, especially S, performed better than those of classical methods. In particular, the percentile CI with the wild bootstrap applied to the robust LMM estimators outperformed all other methods, especially with between-subject outliers, when we found the classical Wald-type CI based on the t statistic with Satterthwaite approximation for LMM to be highly misleading. We provide R code to compute all methods presented here. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:38358679 | DOI:10.1037/met0000643

Neotrop Entomol. 2024 Feb 15. doi: 10.1007/s13744-024-01136-7. Online ahead of print.

ABSTRACT

Co-occurrence a correlation profiles are driven by different factors (exogenous and endogenous) and drawing a profile of association between species based on co-occurrence, without assessing how these species vary in terms of ecological niche can lead to wrong conclusions. The objective was to determine the co-occurrence and correlation patterns of phytophagous insects in canola crop and to evaluate how these patterns varied according to the crop stage (phenology-biotic) and sowing times (agricultural practice-abiotic). We found that the patterns of co-occurrence and correlation between species were reflections of population variations due to the phenology and sowing times of canola. Variations in the multi-species abundance matrix were influenced by mean air temperature and accumulated rainfall. The main species associated with canola in southern Brazil, in terms of abundance, were P. xylostella, D. speciosa, and N. viridula. These species were mostly negatively associated. When evaluating their population variations, we found that they explore different temporal niches, whether in terms of phenology or sowing times. Finally, we demonstrate empirically that despite being important, association patterns based on co-occurrence and correlation should be interpreted in light of the understanding of patterns of niche exploitation and temporal variation of species.

PMID:38358647 | DOI:10.1007/s13744-024-01136-7

Neotrop Entomol. 2024 Feb 15. doi: 10.1007/s13744-024-01132-x. Online ahead of print.

ABSTRACT

The growing concern with the decline of pollinators worldwide is centered on honey bees, due to their wide distribution, economic, and ecological importance. This type of concern remained less evident for stingless bees, which are widely distributed in the Neotropics, until recently. Since exposure to agrochemicals has been identified as one of the potential threats to bees, the present systematic review compiled information from toxicological evaluations in stingless bees in Brazil, home to a considerable portion of the existing species. This systematic review was performed considering species, research institutions, scientific journals, metrics, experimental set ups, and agrochemicals. The first article in this topic was published in 2010. Since then, 93 scientific papers were published, which showed that there are few species of stingless bees used for toxicological evaluations and Brazilian institutions lead these evaluations. Only 1.5% of the stingless bees’ species that occur in Brazil were assessed through chronic exposure in the larval stage. The Universidade Federal de Viçosa (UFV) is responsible for 37% of the total publications. The main route of exposure was acute, using adults in laboratory conditions. The main group of agrochemicals studied were insecticides, in particular the neonicotinoids. The current results reveal the advances achieved and point out the gaps that still need to be filled considering toxicological evaluations in stingless bees.

PMID:38358646 | DOI:10.1007/s13744-024-01132-x

Hum Cell. 2024 Feb 15. doi: 10.1007/s13577-024-01024-7. Online ahead of print.

ABSTRACT

Tumor-infiltrating neutrophils play a crucial role in the progression of head and neck squamous cell carcinoma (HNSCC). Here, we aimed to statistically quantify the plasticity of HNSCC-infiltrating N2/N1 neutrophils and examine its impacts on survival and immune infiltration landscape. A retrospective study of 80 patients who underwent curative surgical resection for HNSCC between 2014 and 2017 was conducted in this study. HNSCC-infiltrating neutrophil phenotypes were classified using immunofluorescence staining, and the N2/N1 neutrophil plasticity was evaluated via the ratio of N2/N1 neutrophils. We then assessed the correlations between N2/N1 neutrophil plasticity, clinicopathological characteristics, and immune infiltration landscape using rigorous statistical methods. Infiltration variations of N1 and N2 neutrophils were observed between the tumor nest (TN) and tumor stroma (TS), with TN exhibiting higher N2 neutrophil infiltration and lower N1 neutrophil infiltration. High ratios of N2/N1 neutrophils were correlated with advanced TNM stage, large tumor size and invasion of adjacent tissue. High infiltration of N2 neutrophils was associated with decreased overall and relapse-free survival, which were opposite for N1 neutrophils. The independent prognostic role of N2/N1 neutrophil plasticity, particularly within the TN region, was confirmed by multivariate analyses. Moreover, the ratio of N2/N1 neutrophils within the TN region showed correlations with high CD8⁺ T cells infiltration and low FOXP3⁺ Tregs infiltration. We identify HNSCC-infiltrating N2/N1 neutrophil plasticity as a crucial prognostic indictor which potentially reflects the tumor microenvironment (TME) and immune escape landscape within HNSCC tissues. Further investigations and validations may provide novel therapeutic strategies for personalized immunomodulation in HNSCC patients.

PMID:38358636 | DOI:10.1007/s13577-024-01024-7

Environ Sci Pollut Res Int. 2024 Feb 15. doi: 10.1007/s11356-024-32353-7. Online ahead of print.

ABSTRACT

Considering the opening of high-speed railway (HSR) as a quasi-natural experiment, this paper explores the emission reduction effect of HSR opening and its mechanisms and heterogeneity characteristics based on the panel data of 272 cities in China from 2006 to 2019 by staggered DID model and the mediating effect model. It is found that (1) the opening of HSR significantly reduces the carbon emission level of cities, and the conclusion still holds after controlling the endogeneity issue and a series of robustness tests; (2) Bancon decomposition and negative weight diagnostics both show that the estimated average treatment effect bias is small and the robust estimators are more robust; (3) by reducing production costs and promoting inter-regional industrial division of labor, the opening of HSR promotes intra-industrial structural transformation and inter-industrial structural transformation, respectively, thus reducing urban carbon emissions. At the same time, HSR achieves urban carbon emission reduction by promoting free movement of population and human capital agglomeration; and (4) further study finds that there is regional heterogeneity in the emission reduction effect of HSR opening, and the carbon reduction effect is mainly reflected in large and medium-sized cities, near provincial capitals, non-resource-based cities, and cities with rich educational resources, which indicates that the location of future HSR should be combined with the city’s own characteristics and be tailored to the city.

PMID:38358635 | DOI:10.1007/s11356-024-32353-7

Environ Sci Pollut Res Int. 2024 Feb 15. doi: 10.1007/s11356-024-32410-1. Online ahead of print.

ABSTRACT

Using the QARDL approach and data from January of 2010 to May of 2022, we explore how renewable energy consumption affects CO₂ emissions in the USA. Long-term analysis reveals a negative link between these variables, while only lower quantile levels show short-term statistical significance. Integrating technical innovation (measured by patents) in our QARDL model shows substantial reduction in CO₂ emissions, with varying effects over time. Interestingly, only renewable energy consumption, not technical innovation, significantly impacts CO₂ emissions at lower quantile levels. These findings emphasize the crucial role of renewable energy in reducing both short-term and long-term CO₂ emissions and offer policymakers valuable insights for shaping effective energy strategies to combat emissions and promote sustainability in the USA.

PMID:38358631 | DOI:10.1007/s11356-024-32410-1

Environ Sci Pollut Res Int. 2024 Feb 15. doi: 10.1007/s11356-024-32384-0. Online ahead of print.

ABSTRACT

This study analyzed the impact of educational, perception, and attitudinal factors on the plastic waste behavior of high school students in Vietnam. A cross-sectional research design and questionnaire survey method were used to collect data from 573 high school students. All the statistical analyses and hypothesis tests were performed using SPSS 26 and AmoS 20 software. Research results show that perception does not directly affect students’ behavior toward the plastic waste problem (B = 0.051, p = 0.201 > 0.05, CI = [- 0.027; 0.130]) but has an indirect impact through attitude mediation, with an impact coefficient of B = 0.107 (p = 0.016 < 0.05, CI = [0.042; 0.177]). Educational factors positively impact students’ behavior toward plastic waste through both direct effects, with an impact coefficient of B = 0.546 (p = 0.00 < 0.05, CI = [0.473; 0.620], and indirect effects, mediated by attitude, with an impact coefficient of B = 0.017 (p = 0.007 < 0.05, CI = [0.003; 0.037]). These findings are new compared to previous studies, contributing to enriching theories related to behavior toward the plastic waste problem and bringing practical significance to Vietnam. The findings of this study provide the basis for proposing measures to improve plastic waste behaviors for Vietnamese high school students.

PMID:38358623 | DOI:10.1007/s11356-024-32384-0