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Understanding the efficacy of each module of cognitive behavioral therapy (CBT) may inform efforts to improve outcomes for youth depression, but effects of specific modules have been difficult to examine. Idiographic interrupted time series models offer a robust way to estimate module effects on an individual's symptoms. This study examined the association of specific CBT modules for depression on internalizing symptoms among depressed youths who received modular CBT in a randomized trial.Individual models were created for three youths who met study criteria. Youths completed weekly symptom reports, and clinicians completed records of modules delivered. First order auto-regressive models quantified the change in average internalizing symptom severity between pre- and post-module delivery.All youths had 1-3 modules that were significantly associated with symptom reduction and 1-3 modules associated with deterioration. The 5 modules associated with improvement in at least one youth also lacked association (engagement, relaxation, cognitive reframing), or were associated with worsening (activity selection, parent psychoeducation) in others. Seven modules showed no measurable benefit, or detriment to any youth.This study demonstrated that specific modules have measurable effects, but more work is needed to build an evidence base of specific module effects to inform treatment personalization for youth depression.

Statistical mediation analysis is used in the social sciences and public health to uncover potential mechanisms, known as mediators, by which a treatment led to a change in an outcome. Recently, the estimation of the treatment-by-mediator interaction (i.e., the XM interaction) has been shown to play a pivotal role in understanding the equivalence between the traditional mediation effects in linear models and the causal mediation effects in the potential outcomes framework. However, there is limited guidance on how to estimate the XM interaction when the mediator is latent. In this article, we discuss eight methods to accommodate latent XM interactions in statistical mediation analysis, which fall in two categories: using structural models (e.g., latent moderated structural equations, Bayesian mediation, unconstrained product indicator method, multiple-group models) or scoring the mediator prior to estimating the XM interaction (e.g., summed scores and factor scores, with and without attenuation correction). Simulation results suggest that finite-sample bias is low, type 1 error rates and coverage of percentile bootstrap confidence intervals and Bayesian credible intervals are close to the nominal values, and statistical power is similar across approaches. The methods are demonstrated with an applied example, syntax is provided for their implementation, and general considerations are discussed.

The Cuatrociénegas Basin, Coahuila MX, has the highest rate of endemism in North America and has been the source of a rich aridlands, paleoenvironmental history in the Chihuahuan Desert of North America. Understanding the recent past of the Cuatrociénegas Basin contextualizes how aridland terrestrial and wetland systems may respond to ongoing climate warming and the potential aridification in already water-limited regions. A 12.3 m long sediment core dated to ~13,500 cal yr BP was collected from Poza Cortador and examined for pollen to reconstruct the Holocene terrestrial and wetland history of the Basin. The terrestrial record indicates a transition from woodland to desert environments by ~7500 cal yr BP. This transition is characterized more by the decrease in conifer and oak pollen abundances relative to desert taxa rather than a sudden appearance of new pollen types. Wetlands appear more stable than the terrestrial record, possibly because of groundwater buffering of the wetland surface. Alternatively, there might be less obvious changes because of the overall pollen diversity of identified wetland pollen types selected in this study. Significant aridity in both the terrestrial and wetland environments is inferred between 5000 and 3000 cal yr BP based on poor pollen preservation. The record of the last 3000 cal yrs reflects the resilience of both the terrestrial and wetland systems to prolonged drought and provides hope that this unique system may have resiliency to some aspects of future climate change if the hydrologic connectivity can remain intact.

The two-wave mediation model is the most suitable model for examining mediation effects in a randomized intervention and includes measures taken at pretest and posttest. When using self-report measures, the meaning of responses may change for the treatment group over the course of the intervention and result in noninvariance across groups at posttest, a phenomenon referred to as response shift. We investigate how the mediated effect would be impacted by noninvariance when using sum scores (i.e., assuming invariance). In a Monte Carlo simulation study, the magnitude and proportion of items that had noninvariant intercepts, the direction of noninvariance, number of items, effect size of the mediated effect and sample size were varied. Results showed increased Type I and Type II errors due to a biased estimate of the intervention effect on the mediator resulting from noninvariance. Thus, measurement noninvariance could lead to erroneous conclusions about the process underlying the intervention.

Ethoxymethyl (EOM) group was used to protect the phenol functionality on 2,6-dibromo-4-methylphenol. Subjecting the protected phenol to n-butyllithium followed by reaction with chlorodiphenylphosphine produced 2,6-bis(diphenylphosphino)-4-methyl-ethoxymethylphenol (1). Reactions of 1 with H2O2, S8 and Se (grey) followed by treatment with HCl led to isolation of 2,6-bis(diphenylphosphinyl)-4-methylphenol (3a), 2,6-bis(diphenylphosphinothioyl)-4-methylphenol (3b), and 2,6-bis(diphenylphosphinoselenoyl)-4-methylphenol (3c). Compounds 1 and 3a–b were fully characterized by multinuclear NMR and high-resolution mass spectrometry. In addition, compounds 1, 3a·(HOO)2C(CH3)2, 3b, and 3c were characterized by single crystal X-ray diffraction experiments.

BACKGROUND Maternal pre-pregnancy body mass index (BMI) is strongly associated with infant birthweight and the risk differs in pregnancies complicated by gestational diabetes (GDM). OBJECTIVES To examine the risk of large for gestational age (LGA) (≥97th percentile) singleton births at early term, full term and late term in relation to maternal pre-pregnancy BMI status mediated through GDM. METHODS We analysed data from the 2018 U.S. National Vital Statistics Natality File restricted to singleton term births (N = 3,229,783). In counterfactual models for causal inference, we estimated the total effect (TE), natural direct effect (NDE) and natural indirect effect (NIE) for the association of pre-pregnancy BMI with subcategories of LGA births at early, full and late term mediated through GDM, using log-binomial regression and adjusting for race/ethnicity, age, education, parity and infant sex. Proportion mediated was calculated on the risk difference scale and potential unmeasured confounders were assessed using the E-value. RESULTS Overall, 6.4% of women had GDM, and there were 3.6% LGA singleton term births. The highest prevalence of GDM was among pre-gestational overweight/obesity that also had the highest rates of LGA births at term. The TE estimates for the risk of LGA births were the strongest across women with higher pre-pregnancy BMI compared to women with normal pre-pregnancy BMI. The NDE estimates were higher than the NIE estimates for overweight/obese BMI status. The proportion mediated, which answers the causal question to what extent the total effect of the association between pre-pregnancy BMI and LGA births is accounted for through GDM, was the highest (up to 16%) for early term births. CONCLUSIONS Term singleton births make up the largest proportion in a cohort of newborns. While the percentage mediated through GDM was relatively small, health risks arising from pre-pregnancy overweight, and obesity can be substantial to both mothers and their offspring.

Issue Female genital mutilation (FGM) comprises all procedures that injury female genital organs for non-medical reasons, with several health impacts. Due to global migration, FGM has been increasingly recognised as a healthcare issue in Europe, affecting nearly 1 million women. In Portugal it is estimated that 5483 migrant women have undergone FGM in the Lisbon region. Intervention is required to tackle this issue. Description Portugal launched the “Healthy Practices: End of FGM”, a multiagency project targeting Lisbon and Tagus Valley region. Project implementation started in Nov 2018 at 5 local public health units (PHU) and was scaled-up to 5 more in Feb 2020. Project comprises 3 main axes: 1) inclusion in public policy instruments; 2) professionals’ education and awareness; and 3) community intervention. We describe inclusion of FGM in public policy, professionals training and changes in FGM recording before and after intervention. Results Between 2018-2022, inclusion of FGM in municipalities’ migration policies doubled. Between 2019-2021, 110 training sessions (n = 1722 professionals) were promoted. During pandemic years, only 344 (2020) and 202 (2021) were trained. Raising awareness and empowerment to risk communities happened mainly through local/online open sessions, workshops, flyer distribution, video projections. These occurred in all 10 PHU, mostly through partnerships with Non-Governmental Organizations and municipalities. According to the Portuguese Health Records, until 2018 there were only 300 women registered with FGM. Between 2019-2021, 363 more were added. Lessons The multisectoral approach allowed PHU professionals to collaborate directly with external organizations from different society sectors. COVID-19 pandemic posed a challenge to implementation, especially in the community intervention axis. Notification numbers increased after interventions, though causality could not be established and impact evaluation is yet to be performed. Key messages • Multisectoral projects for FGM intervention have specific implementation challenges, including how to justify and evaluate them, that must be considered in each setting. • Training health professionals might increase identification and notification of FGM, but the impact in preventing FGM in the Portuguese reality is still largely unknown.

We report genetic and morphological evidence for the presence of Redeye Bass Micropterus coosae, in the Verde River of Arizona, previously thought to be Smallmouth Bass Micropterus dolomieu. We performed meristic measurements on 15 individuals sampled from the Upper Verde River Wildlife Area, Yavapai County, Arizona. Meristic data for lateral line scales, scales above lateral line, and scales below lateral line were all consistent with Redeye Bass and not Smallmouth Bass. We analyzed mitochondrial and nuclear genetic data to determine whether one of the black bass (Genus Micropterus) species historically introduced to the Verde River was Redeye Bass and whether they persist in the system. We extracted DNA from fin clips of five individuals for phylogenetic analysis of the nicotinamide adenine dinucleotide + hydrogen (NADH) dehydrogenase subunit 2 (ND2) mitochondrial gene and for analysis of nuclear DNA using a diagnostic Single Nucleotide Polymorphism (SNP) panel. Results of the ND2 genetic sequencing and phylogenetic analysis indicated that these fish likely originated from native Redeye Bass stock from the Coosa River system of Alabama, Georgia, and Tennessee. Similarly, nuclear SNP data from the five individuals collected from the Verde River aligned with Redeye Bass reference genotypes based on STRUCTURE analysis. These results support the hypothesis that at least one of the introductions of black bass in Arizona's Verde River founded a previously unrecognized population of Redeye Bass. Further work is needed to determine the extent of the Redeye Bass presence in Arizona, whether Smallmouth Bass are also present in the Verde River system, and if hybridization of Redeye Bass and other black basses is occurring.

Rink hockey is a highly specialized and physiological demanding sport with sparse research regarding the game and athletes’ characteristics. A cross-sectional study was developed to characterize the body composition and grip strength of elite male rink hockey players and to establish the relationship between ethnicity on body composition and grip strength. A sample of 100 elite rink-hockey athletes aged 26.59 ± 6.02 participated in the study, comprised of 69 Caucasian male adults aged 27.58 ± 6.44 years and 31 Black African male adults aged 24.39 ± 4.27. Body composition was assessed by anthropometric measurements. Static grip strength was assessed with an adjustable dynamometer. Multiple regression analysis was applied to understand which variables constraints body fat percentage (BF) and grip strength. Body mass showed an average of 76.36 ± 9.18 kg for 175.80 ± 5.87 cm of height and BF% of 10.82 ± 5.07%. Maximal right grip strength was 50.91 ± 6.26 kg and 50.27 ± 6.23 kg for left grip strength. Four predictors accounted for 70.01% of the variance of BF%: abdominal circumference (p < 0.001), right thigh circumference (p < 0.001), right calf circumference (p = 0.001) and ethnicity (p = 0.016). Three predictors accounted for 13.1% of the variance of right grip strength: ethnicity (p = 0.013), chronological age (p = 0.024) and right distal thigh circumference (p = 0.014). Results suggest that elite rink hockey athletes have a specific anthropometric identity, which at the elite level may lead to reduced body fat and greater handgrip strength. Ethnicity seems to predict body fat and grip strength in elite rink hockey athletes.

Auditory sensory over-responsivity (aSOR) is a frequently reported sensory feature of autism spectrum disorders (ASD); however, there is little consensus regarding its prevalence and severity. This cross-sectional study uses secondary data from the Autism Diagnostic Interview-Revised (ADI-R; Item 72: undue sensitivity to noise) housed in the US National Institute of Mental Health Data Archives to identify prevalence and severity of aSOR. Of the 4104 subjects with ASD ages 2–54 (M = 9, SD = 5.8) who responded to item 72, 60.1% (n = 1876) had aSOR currently (i.e., point prevalence) and 71.1% (n = 2221) reported having aSOR ever (i.e., lifetime prevalence). aSOR prevalence and severity were affected by age, but there were no associations with sex.

Research hypotheses have been a cornerstone of science since before Galileo. Many have argued that hypotheses (1) encourage discovery of mechanisms, and (2) reduce bias—both features that should increase transferability and reproducibility. However, we are entering a new era of big data and highly predictive models where some argue the hypothesis is outmoded. We hypothesized that hypothesis use has declined in ecology and evolution since the 1990s, given the substantial advancement of tools further facilitating descriptive, correlative research. Alternatively, hypothesis use may have become more frequent due to the strong recommendation by some journals and funding agencies that submissions have hypothesis statements. Using a detailed literature analysis (N = 268 articles), we found prevalence of hypotheses in eco–evo research is very low (6.7%–26%) and static from 1990–2015, a pattern mirrored in an extensive literature search (N = 302,558 articles). Our literature review also indicates that neither grant success nor citation rates were related to the inclusion of hypotheses, which may provide disincentive for hypothesis formulation. Here, we review common justifications for avoiding hypotheses and present new arguments based on benefits to the individual researcher. We argue that stating multiple alternative hypotheses increases research clarity and precision, and is more likely to address the mechanisms for observed patterns in nature. Although hypotheses are not always necessary, we expect their continued and increased use will help our fields move toward greater understanding, reproducibility, prediction, and effective conservation of nature., We use a quantitative literature review to show that use of a priori hypotheses is still rare in the fields of ecology and evolution. We provide suggestions about the group and individual‐level benefits of hypothesis use.

Researchers and prevention scientists often develop interventions to target intermediate variables (known as mediators) that are thought to be related to an outcome. When researchers target a mediating construct measured by self-report, the meaning of the self-report measure could change from pretest to posttest for the individuals who received the intervention—which is a phenomenon referred to as response shift. As a result, any observed changes on the mediator measure across groups or across time might reflect a combination of true change on the construct and response shift. Although previous studies have focused on identifying the source and type of response shift in measures after an intervention, there has been limited research on how using sum scores in the presence of response shift affects the estimation of mediated effects via statistical mediation analysis, which is critical for explaining how the intervention worked. In this article, we focus on recalibration response shift, which is a change in internal standards of measurement and affects how respondents interpret the response scale. We provide background on the theory of response shift and the methodology used to detect response shift (i.e., tests of measurement invariance). In addition, we used simulated data sets to provide an illustration of how recalibration in the mediator can bias estimates of the mediated effect and affect Type I error and power.

Single case experimental designs (SCEDs) are used to test treatment effects in a wide range of fields and consist of repeated measurements for a single case throughout one or more baseline phases and throughout one or more treatment phases. Recently, mediation analysis has been applied to SCEDs. Mediation analysis decomposes the total treatment-outcome effect into a direct and indirect effect, and therefore aims to unravel the causal processes underlying treatment-outcome effects. The most recent methodological advancement for mediation analysis is the development of causal mediation analysis methodology which clarifies the necessary causal assumptions for mediation analysis. The goal of this article is to derive the causal mediation effects and corresponding standard errors based on piecewise linear regression models for the mediator and outcome and to evaluate the performance of these regression estimators and standard errors. Whereas previous studies estimated the direct and indirect effects as either the change in level or change in trend, we showed that the causal direct and indirect effects incorporate both the change in level and change in trend. Based on our simulation study we showed that for the causal indirect effects, Monte Carlo confidence intervals provided accurate (i.e., p =.05) Type I error rates and higher statistical power than normal theory confidence intervals. For the causal direct effects and total effect, normal theory confidence intervals provided accurate Type I error rates and higher statistical power than the Monte Carlo confidence intervals. Limitations and future directions are discussed

Arylpyran pseudoacids showed slow ring-opening to the oxocarboxylic acids, and fast ring-closure to the lactols (pseudoacids) in a process that amounts to racemization. Compounds studied were patterned on “Cooper’s Pseudoacid” [3-hydroxy-4,4-dimethylisobenzopyran-1-one, 1], to which modifications were introduced to influence racemization rates by steric compression. Pseudoacid 1 in d6-DMSO had a barrier to racemization (ΔH‡) of +77.8(3) kJ/mol determined by dynamic nuclear magnetic resonance line-broadening measured from 25 °C to 100 °C, and coalescence of its diastereotopic gem-dimethyl signals at 78.5 °C. The solution half-life of 1 at room temperature is a few seconds. Introduction of various aryl 5-substituents lead to similar racemization barriers for the 5-fluoro-8-methyl derivative, and increasingly higher barriers for 5-methyl-8-methyl, 5-chloro-8-methyl, and 5-bromo-7-methyl derivatives. In 3-hydroxy-4,4,5,8-tetramethylisobenzopyran-1-one, the barrier was + 104(6) kJ/mol, and the solution enantiomer t1/2 at room temperature was of the order of hours. Chemical shift differences (ΔνMe) between diastereotopic methyls of 8-methyl-5-substituted enantiomeric pseudoacids were observed in the order F

Self-regulation is studied across various disciplines, including personality, social, cognitive, health, developmental, and clinical psychology; psychiatry; neuroscience; medicine; pharmacology; and economics. Widespread interest in self-regulation has led to confusion regarding both the constructs within the nomological network of self-regulation and the measures used to assess these constructs. To facilitate the integration of cross-disciplinary measures of self-regulation, we estimated product-moment and distance correlations among 60 cross-disciplinary measures of self-regulation (23 self-report surveys, 37 cognitive tasks) and measures of health and substance use based on 522 participants. The correlations showed substantial variability, though the surveys demonstrated greater convergent validity than did the cognitive tasks. Variables derived from the surveys only weakly correlated with variables derived from the cognitive tasks (M = .049, range = .000 to .271 for the absolute value of the product-moment correlation; M = .085, range = .028 to .241 for the distance correlation), thus challenging the notion that these surveys and cognitive tasks measure the same construct. We conclude by outlining several potential uses for this publicly available database of correlations.

Mediation analysis is a methodology used to understand how and why an independent variable (X) transmits its effect to an outcome (Y) through a mediator (M). New causal mediation methods based on the potential outcomes framework and counterfactual framework are a seminal advancement for mediation analysis, because they focus on the causal basis of mediation analysis. There are several programs available to estimate causal mediation effects, but these programs differ substantially in data set up, estimation, output, and software platform. To compare these programs, an empirical example is presented, and a single mediator model with treatment-mediator interaction was estimated with a continuous mediator and a continuous outcome in each program. Even though the software packages employ different estimation methods, they do provide similar causal effect estimates for mediation models with a continuous mediator and outcome. A detailed explanation of program similarities, unique features, and recommendations is discussed.

Diarylhalonium compounds provide new opportunities as reagents and catalysts in the field of organic synthesis. The three center, four electron (3c-4e) bond is a center piece of their reactivity, but structural variation among the diarylhaloniums, and in comparison with other λ

The physicochemical and functional properties of flour (MF) and a protein isolate (MPI) obtained from moring leaves were evaluated and compared. These properties were evaluated and compared with a commercial soybean protein isolate (SPI). MPI was obtained by alkaline solubilization at pH 11.5 and isoelectric precipitation at pH 4.5. The protein content of MPI was 75.8%, with a yield of 6.5% when obtained by lyophilization. Electrophoresis analysis confirmed the presence of proteins between 8 and 120 kDa, and FTIR analysis confirmed the yield of MPI and the decrease of non-protein constituents, such as carbohydrates. The MF showed good gelation properties [5 mL (100%) at 14% (w/v) flour]. MPI showed even better gelling properties (10% to 78%) than SPI and similar water and oil absorption capacities (WAC and OAC) (3 g g-1 and 1.5 g g-1 respectively) as SPI. The pH had a significant influence on these properties. It can be concluded that MPI is an important protein source and may be a viable alternative as a functional food ingredient comparable to SPI in some properties such as WAC, OAC, and emulsion stability at low pH.

BACKGROUND Self-regulation refers to a person’s ability to manage their cognitive, emotional, and behavioral processes to achieve long-term goals. Most prior research has examined self-regulation at the individual level; however, individual-level assessments do not allow the examination of dynamic patterns of intraindividual variability in self-regulation and thus cannot aid in understanding potential malleable processes of self-regulation that may occur in response to the daily environment. OBJECTIVE This study aims to develop a brief, psychometrically sound momentary self-regulation scale that can be practically administered through participants’ mobile devices at a momentary level. METHODS This study was conducted in 2 phases. In the first phase, in a sample of 522 adults collected as part of a larger self-regulation project, we examined 23 previously validated assessments of self-regulation containing 594 items in total to evaluate the underlying structure of self-regulation via exploratory and confirmatory factor analyses. We then selected 20 trait-level items to be carried forward to the second phase. In the second phase, we converted each item into a momentary question and piloted the momentary items in a sample of 53 adults over 14 days. Using the results from the momentary pilot study, we explored the psychometric properties of the items and assessed their underlying structure. We then proposed a set of subscale and total score calculations. RESULTS In the first phase, the selected individual-level items appeared to measure 4 factors of self-regulation. The factors identified were perseverance, sensation seeking, emotion regulation, and mindfulness. In the second phase of the ecological momentary assessment pilot, the selected items demonstrated strong construct validity as well as predictive validity for health risk behaviors. CONCLUSIONS Our findings provide preliminary evidence for a 12-item momentary self-regulation scale comprising 4 subscales designed to capture self-regulatory dynamics at the momentary level.

Background Self-regulation refers to a person’s ability to manage their cognitive, emotional, and behavioral processes to achieve long-term goals. Most prior research has examined self-regulation at the individual level; however, individual-level assessments do not allow the examination of dynamic patterns of intraindividual variability in self-regulation and thus cannot aid in understanding potential malleable processes of self-regulation that may occur in response to the daily environment. Objective This study aims to develop a brief, psychometrically sound momentary self-regulation scale that can be practically administered through participants’ mobile devices at a momentary level. Methods This study was conducted in 2 phases. In the first phase, in a sample of 522 adults collected as part of a larger self-regulation project, we examined 23 previously validated assessments of self-regulation containing 594 items in total to evaluate the underlying structure of self-regulation via exploratory and confirmatory factor analyses. We then selected 20 trait-level items to be carried forward to the second phase. In the second phase, we converted each item into a momentary question and piloted the momentary items in a sample of 53 adults over 14 days. Using the results from the momentary pilot study, we explored the psychometric properties of the items and assessed their underlying structure. We then proposed a set of subscale and total score calculations. Results In the first phase, the selected individual-level items appeared to measure 4 factors of self-regulation. The factors identified were perseverance, sensation seeking, emotion regulation, and mindfulness. In the second phase of the ecological momentary assessment pilot, the selected items demonstrated strong construct validity as well as predictive validity for health risk behaviors. Conclusions Our findings provide preliminary evidence for a 12-item momentary self-regulation scale comprising 4 subscales designed to capture self-regulatory dynamics at the momentary level.