CBCT in dental age estimation: A systematic review and meta analysis

Objectives: This study aimed to investigate the reproducibility of dental age estimation methods in cone beam computed tomography (CBCT) and the correlation between dental (DA) and chronological (CA) ages. Methods: The scientific literature was searched in six databases (PubMed, Scopus, LILACS, Web of Science, SciELO, and OATD). Only observational studies were selected. Within each study, the outcomes of interest were (I) the quantified reproducibility of the method (κ statistics and Intraclass correlation coefficient); and (II) the correlation (r) between the dental and chronological ages. A random-effect three-level meta-analysis was conducted alongside moderator analysis based on methods, arch (maxillary/mandibular), population, and number of roots. Results: From 671 studies, 39 fulfilled the inclusion criteria, with one study reporting two different methods. The methods used in the studies were divided into metric (n = 17), volumetric (n = 20), staging (n = 2), and atlas (n = 1). All studies reported high examiner reproducibility. Group 1 (metric and volumetric) provided a high inverse weighted r ([Formula: see text] = −0.71, CI [-0.79,–0.61]), and Group 2 (staging) provided a medium-weighted r ([Formula: see text] = 0.49, CI [0.44, 0.53]). Moderator analysis on Group one did not show statistically significant differences between methods, tooth position, arch, and number of roots. An exception was detected in the analysis based on population (Southeast Asia, [Formula: see text] = −0.89, CI [-0.94,–0.81]). Conclusion: There is high evidence that CBCT methods are reproducible and reliable in dental age estimation. Quantitative metric and volumetric analysis demonstrated better performance in predicting chronological age than staging. Future studies exploring population-specific variability for age estimation with metric and volumetric CBCT analysis may prove beneficial.

A meta-analysis examining technology-assisted L2 vocabulary learning

This meta-analysis examines the effectiveness of technology-assisted second language (L2) vocabulary learning as well as identifies factors that may play a role in their effectiveness. We found 34 studies with 2,511 participants yielding 49 separate effect sizes. Following the procedure developed by Hunter and Schmidt (2004), we corrected for sample size bias and measurement error. The overall effect size for using technology to learn L2 vocabulary was d = 0.64, which is a moderate effect size. The Q statistic indicated a significant variability in effect size, so we followed up with a theory-driven moderator analysis. The results of the moderator analysis revealed that learners benefited more from technology-assisted L2 vocabulary learning with incidental instruction than with intentional instruction; types of assessment were not significant moderators of the effect on technology-assisted L2 vocabulary learning; technology-assisted L2 vocabulary learning is more effective when the target language is close to the learner’s first language; college students benefited more from technology-assisted L2 vocabulary learning than K–12 students; and, finally, mobile-assisted L2 vocabulary learning was more effective than computer-assisted L2 vocabulary learning.

Evaluation of Childbirth Self-Efficacy in Pregnant Women with Variables: A Systematic Review and Meta-Analysis

Objective : The present study aims to examine childbirth self-efficacy levels with potential moderating variables. Methods: The systematic searches were conducted in nine databases in July 2019. The PRISMA checklist was used. The quality of studies was evaluated by two researchers. The random-effect model was used in the present meta-analysis. The heterogeneity tests and moderator analyses were performed. There were 18 eligible articles. Results: Results indicated that childbirth self-efficacy levels do not change based on parity (Q=0.784, p=0.376 for efficacy expectancy, Q=0.190, p=0.663 for outcome expectancy). The between-study variance was not significant for subdimensions of CBSEI (Qb = 1.531, p = .216), which means no significant difference between OE and EE levels was found. The between-study variance was not significant for OE levels (Qb = 0.333, p = .847), which means no significant difference was found between Outcome-AL, Outcome-SS, and OE-16. The moderator analysis, including Efficacy-AL, Efficacy-SS, and EE-16 presented a higher pooled mean score for EE-16 (111.56; 95% CI = 98.66 to 124.46). However, the between-study variance was not significant for EE levels (Qb = 4.240, p = .120). Despite the moderator analysis, the finding of high heterogeneity suggests the need for further studies which examine the concept of childbirth self-efficacy with additional variables. Conclusion: The study presents that childbirth self-efficacy levels do not change based on parity, stages of labor and subdimensions of CBSEI. Researchers need to examine the concept of childbirth self-efficacy with new variables for further clarify of concept.

Do Grittier People Have Greater Subjective Well-Being? A Meta-Analysis

The present study conducted a meta-analysis to examine the relation between grit and subjective well-being (SWB). The association between grit (i.e., overall grit, perseverance of effort, and consistency of interest) and SWB (i.e., positive affect, negative affect, happiness, depression, life satisfaction, job satisfaction, and school satisfaction) were synthesized across 83 studies and 66,518 participants. The results based on a random-effects model showed a substantial correlation between overall grit and SWB (ρ = .46, 95% confidence interval [CI] = [.43, .48]), followed by perseverance of effort (ρ = .38, 95% CI = [.33, .43]) and consistency of interest (ρ = .23, 95% CI = [.17, .28]). The moderator analysis indicated that the correlations between overall grit/consistency of effort and SWB become weaker as age increased, and these links were stronger in affective well-being than in cognitive well-being. Moreover, grit explained unique variance in SWB even after controlling for conscientiousness. Implications and directions for further research are discussed.

Gender Differences in Depression and Quality of Life in Current and Abstinent Ketamine Users

Ketamine use has become of increasing concern because it has spread in many parts of the world during the past few years. Substance users usually have depression and a lower quality of life (QoL). The aim of this study was to explore depression and QoL in ketamine users, and to further examine the role of gender in relation to differences in depression and QoL in ketamine users. This study recruited 204 current ketamine users, 102 abstinent ketamine users and 102 healthy controls. The demographic data, severity of depression and QoL were recorded. Analysis of Variance (ANOVA) was employed to compare the associations of ketamine use status with depression and QoL. Gender differences were examined by moderator analysis. The current ketamine users with and without ketamine use disorder, in addition to the abstinent ketamine users with ketamine use disorder, have more severe depression and a lower QoL than healthy controls. There were significant gender differences in depression and QoL in abstinent ketamine users with ketamine use disorder. Ketamine users have more severe depression and a lower QoL. In particular, depression and a lower QoL are still prominent in abstinent ketamine users. The gender differences in depression and QoL are significant in abstinent ketamine users.

Effect of unplanned athletic movement on knee mechanics: a systematic review with multilevel meta-analysis

ObjectiveTo compare the effects of pre-planned and unplanned movement tasks on knee biomechanics in uninjured individuals.DesignSystematic review with meta-analysis.Data sourcesFive databases (PubMed, Google Scholar, Cochrane Library, ScienceDirect and Web of Science) were searched from inception to November 2020. Cross-sectional, (randomised) controlled/non-controlled trials comparing knee angles/moments of pre-planned and unplanned single-leg landings/cuttings were included. Quality of evidence was assessed using the tool of the Grading of Recommendations Assessment, Development and Evaluation working group.MethodsA multilevel meta-analysis with a robust random-effects meta-regression model was used to pool the standardised mean differences (SMD) of knee mechanics between pre-planned and unplanned tasks. The influence of possible effect modifiers (eg, competitive performance level) was examined in a moderator analysis.ResultsTwenty-five trials (485 participants) with good methodological quality (Downs and Black) were identified. Quality of evidence was downgraded due to potential risk of bias (eg, confounding). Moderate-quality evidence indicates that unplanned tasks evoked significantly higher external knee abduction (SMD: 0.34, 95% CI: 0.16 to 0.51, 14 studies) and tibial internal rotation moments (SMD: 0.51, 95% CI: 0.23 to 0.79, 11 studies). No significant between-condition differences were detected for sagittal plane mechanics (p>0.05). According to the moderator analysis, increased abduction moments particularly occurred in non-professional athletes (SMD: 0.55, 95% CI: 0.14 to 0.95, 5 studies).ConclusionUnplanned movement entails higher knee abduction and tibial internal rotation moments, which could predispose for knee injury. Exercise professionals designing injury-prevention protocols, especially for non-elite athletes, should consider the implementation of assessments and exercises requiring time-constrained decision-making.PROSPERO registration numberCRD42019140331.

The Effect of the COVID-19 Pandemic on Health Care Workers’ Anxiety Levels: A Meta-Analysis

Background. The COVID-19 pandemic has been declared a public health emergency of international concern; this has caused excessive anxiety among health care workers. In addition, publication bias and low-quality publications have become widespread, which can result in the dissemination of unreliable findings.This paper performed a meta-analysis with the following two aims: (1) to examine the prevalence of anxiety among health care workers and determine whether it has increased due to the COVID-19 pandemic, and (2) to investigate whether there has been an increase in publication bias.Methods. All related studies published/released from 2015 to 2020 were searched in electronic databases (Web of Science, PubMed, PsyArXiv, and medRxiv). The heterogeneity of the studies was assessed using the I2 statistic. The effect size (prevalence rates of anxiety) and a 95% CI for each paper were also calculated. We used a moderator analysis to test for the effect of COVID-19 on health care workers’ anxiety levels and detect publication bias in COVID-19 studies. We also assessed publication bias using the funnel plot and Egger regression.Results.The pooled meta-analysis prevalence was 35.3% (95% CI: 32.2%−38.4%). The moderator analysis revealed no significant difference between articles related to COVID-19 and those unrelated to COVID-19 (p = 0.831). Moreover, no significant difference was found between articles related to COVID-19 and preprints (p = 0.981). Significant heterogeneity was found in each subgroup. Egger’s tests revealed publication bias in articles related to COVID-19 and preprints (p < 0.001).Conclusions. Concluding whether the anxiety state of health care workers is altered by the COVID-19 pandemic currently is difficult. However, we have strong evidence that their anxiety levels are always high, although this could also be a false positive caused by a large publication bias. Moreover, without comparing the results with those of non-health care workers, we cannot be sure that their anxiety is particularly high. Furthermore, we found a large publication bias in studies; however, the quality of the studies is relatively stable and reliable.

Additively manufactured titanium scaffolds and osteointegration - meta-analyses and moderator-analyses of in vivo biomechanical testing

Introduction Maximizing osteointegration potential of three-dimensionally-printed porous titanium (3DPPT) is an ongoing focus in biomaterial research. Many strategies are proposed and tested but there is no weighted comparison of results. Methods We systematically searched Pubmed and Embase to obtain two pools of 3DPPT studies that performed mechanical implant-removal testing in animal models and whose characteristics were sufficiently similar to compare the outcomes in meta-analyses (MAs). We expanded these MAs to multivariable meta-regressions (moderator analysis) to verify whether statistical models including reported scaffold features (e.g., “pore-size”, “porosity”, “type of unit cell”) or post-printing treatments (e.g., surface treatments, adding agents) could explain the observed differences in treatment effects (expressed as shear strength of bone-titanium interface). Results “Animal type” (species of animal in which the 3DPPT was implanted) and “type of post-treatment” (treatment performed after 3D printing) were moderators providing statistically significant models for differences in mechanical removal strength. An interaction model with covariables “pore-size” and “porosity” in a rabbit subgroup analysis (the most reported animal model) was also significant. Impact of other moderators (including “time” and “location of implant”) was not statistically significant. Discussion/conclusion Our findings suggest a stronger effect from porosity in a rat than in a sheep model. Additionally, adding a calcium-containing layer does not improve removal strength but the other post-treatments do. Our results provide overview and new insights, but little narrowing of existing value ranges. Consequent reporting of 3DPPT characteristics, standardized comparison, and expression of porosity in terms of surface roughness could help tackle these existing dilemmas. Graphical abstract

The permissive non-parental childcare and moral intelligence: Indonesian setting

<p class="keywords"><span lang="EN-US">Most parents in Indonesia are unable to provide maximum care for their children while working. Childcare includes fostering moral intelligence, which is carried out by grandmothers, household assistants, and daycare assistants. Furthermore, 178 young children (95 males and 83 females) and 178 caregivers (68 grandmothers, 54 household assistants, and 56 daycare assistants) were involved in the study. Simple regression analysis was used to examine parenthood on moral intelligence, and moderator analysis was used to test permissive non-parental childcare and moral intelligence in early childhood. The results showed that authoritative and permissive parenthood has an effect on moral intelligence and that the effects of permissiveness on moral intelligence are only moderately influenced. Permissive non-parental childcare and moral intelligence apply to the group of grandmothers and household assistants. The research provides a detailed description of the role of predictors on moral intelligence in non-parental care.</span></p>