Racial discrimination predicts subjective cognitive decline: Perceived relationship support buffers the association.

OBJECTIVES: Recent studies show that chronic exposure to racial discrimination increases the occurrence of subjective cognitive decline (SCD) among Black Americans. Little research, however, has examined potential for protective factors, such as perceived partner support, to buffer these effects. METHODS: This study utilized longitudinal data over a 10-year period from the Family and Community Health Study (FACHS) to examine the associations between experiences of racial discrimination, marital status, partner support, and SCD, measured by the Everyday Cognition (ECog) Scale, among 286 middle-aged Black American women. Regression analysis and internal moderator analyses were employed to analyze the data. RESULTS: About 31% were in married relationships. Thirty-four percent reported cognitive decline, especially in forgetting object locations and dates. Chronic discrimination predicted SCD, and for those in couple relationships, partner support buffered the adverse effects of discrimination, with those in warm and supportive relationships experiencing less SCD than those in relatively unsupportive relationships or not in a relationship. CONCLUSIONS: The study's findings support the idea that racism influences SCD and underscores the importance of supportive couple relationships in promoting resilience. The results also highlight the potential value of culturally relevant family interventions and support strategies to reduce the impact of discrimination-induced stress on cognitive health.

Mindfulness matters: Unveiling the relationship between trait mindfulness and procrastination - A three level meta-analysis.

Procrastination is a personality tendency with several deleterious consequences. Trait mindfulness has been found to be associated with procrastination. Nevertheless, the relationship between trait mindfulness and procrastination has yielded inconsistent results in previous studies. Therefore, by utilizing a three-level random-effects meta-analysic model, the present study synthesized previous studies to investigate the relationship between trait mindfulness and procrastination and explore the potential moderators that may affect this relationship. A significant and negative relationship between trait mindfulness and procrastination (r = -0.365; p < 0.0001) was found by analyzing 36 effect sizes from 19 studies with 14,094 participants. The subsequent moderator analysis did not reveal any significant moderators. Overall, the current meta-analysis shed insightful light on information for future research on reducing procrastination by considering utilizing mindfulness-based interventions that make it easier for individuals to maintain a mindfulness state and enhance trait mindfulness, thereby reducing procrastination.

A Meta-Analysis of the Reliability of Second Language Listening Tests (1991-2022).

To investigate the reliability of L2 listening tests and explore potential factors affecting the reliability, a reliability generalization (RG) meta-analysis was conducted in the present study. A total number of 122 alpha coefficients of L2 listening tests from 92 published articles were collected and submitted to a linear mixed effects RG analysis. The papers were coded based on a coding scheme consisting of 16 variables classified into three categories: study features, test features, and statistical results. The results showed an average reliability of 0.818 (95% CI: 0.803 to 0.833), with 40% of reliability estimates falling below the lower bound of CI. The presence of publication bias and heterogeneity was found in the reliability of L2 listening tests, indicating that low reliability coefficients were likely omitted from some published studies. In addition, two factors predicting the reliability of L2 listening tests were the number of items and test type (standardized and researcher- or teacher-designed tests). The study also found that reliability is not a moderator of the relationship between L2 listening scores and theoretically relevant constructs. Reliability induction was identified in reporting the reliability of L2 listening tests, too. Implications for researchers and teachers are discussed.

Prescriptive factors for intensive home treatment in acute psychiatry: a secondary analysis of a randomised controlled trial.

BACKGROUND: Intensive home treatment (IHT) aims to prevent psychiatric hospitalisation. Although this intervention is well tested, it is still unknown for whom this intervention works best. Therefore, this study aims to explore prescriptive factors that moderate the effect of IHT compared to care as usual (CAU) on symptom severity. METHODS: Using data from a randomised controlled trial, 198 participants that experience an exacerbation of acute psychiatric symptoms were included in this secondary analysis. In order to maximise clinical relevance, generally available environmental and clinical baseline factors were included as tentative moderators: age, gender, employment status, domestic situation, psychiatric disorders, psychological symptoms, psychosocial functioning, alcohol and other substance use. The outcome variable symptom severity was measured using the Brief Psychiatric Rating Scale (BPRS) and collected at 26 and 52 weeks post-randomisation. Multiple regression analysis was used to examine which participants' characteristics moderate the effect of IHT on the total BPRS score. RESULTS: Our results suggest that being employed (B = 0.28, SE = 0.13, 95% CI = 0.03-0.53, p = 0.03) at baseline seems to have a moderation effect, which result in lower symptom severity scores at 26 weeks follow-up for patients who received IHT. This effect was not found at 52 weeks. CONCLUSIONS: On the basis of the number of factors tested, there is no evidence for robust outcome moderators of the effect of IHT versus CAU. Our conclusion is therefore that IHT can be offered to a diverse target population with comparable clinical results. TRIAL REGISTRATION: This trial is registered (date of registration: 2016-11-23) at the international clinical trials registry platform (NTR6151).

Parental Homework Involvement and Students’ Achievement: A Three-Level Meta-Analysis / Implicación de los Padres en los Deberes y Rendimiento Académico: un Meta-Análisis de Tres Niveles

Background: Applying a three-level meta-analysis, the goal of our investigation was to examine the relationship between parental homework involvement and students’ achievement, and to investigate whether certain study features could have resulted in the inconsistent results relating to this relationship from prior studies. Method: We identified a total of 28 studies (32 independent samples) with 252 effect sizes for a total of 378222 participants. Results: Our meta-analysis revealed an overall weak negative relationship between parental homework involvement and students’ achievement (r = −0.064, p < 0.001). The overall relationship was moderated by the dimension of parental homework involvement. Specifically, students’ achievement was positively related to autonomy support, but largely unrelated to content support, parental control, frequency, and mixed. Additionally, the overall relationship was moderated by achievement measure, grade level, and parent gender. Conclusions: Given that parental autonomy support was the only dimension that was positively related to students’ achievement, it would be important to conduct qualitative research that provides longitudinal descriptions of parent-child interactions relating to homework tasks as children make their transition from elementary to middle and high school.(AU)

Antecedentes: Mediante un meta-análisis de tres niveles, el objetivo de esta investigación fue examinar la relación entre la participación de los padres en los deberes escolares y el rendimiento académico de los estudiantes, así como estudiar el rol mediador en esta relación de ciertas variables que podrían haber estado relacionadas con algunos resultados inconsistentes en estudios primarios. Método: Se identificaron 28 estudios, con 252 tamaños del efecto, para un total de 378222 participantes. Resultados: Los resultados revelaron una débil relación negativa entre la implicación de los padres en los deberes y el rendimiento de los estudiantes (r = −0,064, p < 0,001). Esta relación fue moderada por el tipo de implicación parental. Específicamente, el rendimiento de los estudiantes se relacionó positivamente con el apoyo a la autonomía, pero no con el apoyo al contenido, el control de los padres, la frecuencia y la combinación de estas dimensiones. Además, dicha relación fue moderada por la medida de rendimiento, el curso de los estudiantes y el género de los padres. Conclusiones: Es necesaria más investigación cualitativa sobre lo que ocurre en torno a las interacciones entre padres e hijos a la hora de la realización de los deberes escolares.(AU)

Associations of home and neighborhood environments with children's physical activity in the U.S.-based Neighborhood Impact on Kids (NIK) longitudinal cohort study.

INTRODUCTION: Physical activity is important for children's health and well-being. Supportiveness for physical activity of home and neighborhood environments may affect children's PA, but most studies are cross-sectional. We examined environmental predictors of change in children's physical activity over two years. METHODS: Data were from the longitudinal, observational cohort study, 'Neighborhood Impact on Kids'. Participants were children (initially aged 6-12 years) and their parent/caregiver (n = 727 dyads) living in neighborhoods throughout San Diego County, California and King County (Seattle area), Washington, USA. Children's moderate-to-vigorous physical activity (MVPA) was measured using accelerometers at T1 (Time 1 or baseline, 2007-2009) and T2, the two-year follow-up. At T1, parents survey-reported on physical activity (PA) equipment at home and demographics. Neighborhood environment was measured using spatial data in Geographic Information Systems (intersection density; park availability) and in-person audits (informal play space near home; park-based PA facilities; land use; support for walking/cycling). Generalized additive mixed models estimated total effects, then direct effects, of environmental attributes on MVPA at T1. Two-way moderating effects of child's sex and age were examined at T1. To examine associations of environmental exposures with changes in MVPA, we estimated interaction effects of environmental attributes on the association between time and MVPA. RESULTS: On average, children accumulated 146 min/day (standard deviation or SD = 53) of MVPA at T1, and 113 (SD = 58) min/day at T2. There were no significant total or direct effects of environmental attributes on MVPA at T1, and no significant two-way interaction effects of child's age and sex for T1 MVPA. Having informal play spaces proximal to home with more amenities was associated with less MVPA decline from T1 to T2. Higher residential density, higher land use mix, and higher number of PA facilities in nearby parks were unexpectedly associated with greater MVPA decline. CONCLUSION: Higher quality informal play spaces close to home may help offset declines in MVPA during middle childhood, as they may promote unstructured active play with opportunities for parental or neighbor surveillance. Unexpectedly, environmental factors consistent with higher walkability were associated with greater declines in children's MVPA. As physical activity differs across the lifespan, so may environmental factors that facilitate it.

Nutrient effects on working memory across the adult lifespan.

OBJECTIVE: To identify the nutrients that influence the performance of working memory, which is greatly affected as age progresses. METHOD: A total of 1646 healthy adults between 21 and 80 years old participated in the study. The daily consumption of 64 nutrients was examined using a food frequency questionnaire that assessed food intake during the previous year. Working memory was measured in the verbal and spatial domains using a computerized task. We examined which nutrients influence working memory across the entire adult lifespan and whether the influence of any of these nutrients on working memory is moderated by individuals' ages. RESULTS: Working memory, across the entire adult lifespan, benefits from the intake of cholesterol, alcohol, gamma- and delta-tocopherol, vitamin B6, and palmitoleic, oleic, alpha linoleic and linoleic acids. Moderator analyses revealed that fats, energy, lactose and sodium negatively influenced working memory in middle-aged and older adults, whereas vitamin D and vitamin C had positive effects on memory beyond 70 years of age. CONCLUSION: Nutrients have the ability to positively or negatively affect working memory, which varies as a function of age.

Modeling multiple dependent variables in meta-analysis of single-case experimental design using multilevel modeling.

Although meta-analyses of single-case experimental design (SCED) often include multiple types of dependent variables (DVs), multiple DVs are rarely considered within models in the analysis. Baek et al. (Journal of Experimental Education, 90(4), 934-961, 2022) identified several statistical issues that arise when researchers fail to model multiple DVs in meta-analyses of SCED data. However, the degree to which non-modeling of multiple DVs impacts the results of the meta-analysis of SCED has not been fully examined. In this simulation study, we have systematically investigated the impact of non-modeling of multiple DVs when analyzing meta SCED data using multilevel modeling. The result demonstrates that modeling multiple DVs has advantages over the non-modeling option for meta-analysis of SCED. Modeling multiple DVs enables the determination of precise effects from different DVs in addition to the unbiased and accurate average effect and accurate estimates and inferences for the error variances at the study level as well as the observation level. The current study also reveals potential factors (i.e., the number of DVs, degree of heterogeneity in the level-1 error variances and autocorrelation, and presence of the moderator effect) that impact the precision and accuracy of the variance parameters.

Emotion regulation moderates the association between COVID-19 stress and mental distress: findings on buffering, exacerbation, and gender differences in a cross-sectional study from Norway.

Background: Maintaining good mental health is important during a crisis. However, little attention has been given to how people achieve this, or how they evaluate emotions associated with stressors, such as the COVID-19 pandemic. This study aims to (1) investigate whether emotion regulation, in particular cognitive reappraisal and suppression, moderates the relationship between COVID-19 stress and general mental distress and (2) examine gender differences in the interrelations between COVID-19 stress, emotion regulation, and mental distress. Methods: Data from a population in Norway (n = 1.225) were collected using a cross-sectional survey during the early months of the COVID-19 pandemic. Emotion regulation was measured using the Emotion Regulation Questionnaire Scale (ERQ), COVID-19 stress with the COVID-19 Stress Scale, and mental distress with the Patient Health Questionnaire 4 (PHQ-4). Moderation analyses were conducted using the PROCESS macro for SPSS. Results: There was a strong association between COVID-19 stress and general mental distress (r = 0.61). The moderation analyses showed substantial moderation effects of cognitive reappraisal and suppression on the relationship between COVID-19 stress and mental distress. Cognitive reappraisal served as a buffer (p = 0.001) and suppression (p = 0.002) exacerbated the relation between COVID-19 stress and mental distress. Men had higher scores of suppression (p < 0.001), and women had higher scores of cognitive reappraisal (p = 0.025). The buffering effect of cognitive reappraisal presented itself only in women (p < 0.001), while the exacerbation effect of suppression appeared only in men (p < 0.001). Conclusion: The current study suggests that COVID-19 pandemic-related stress is easier to deal with for those who have the tendency to cognitively reappraise. In contrast, suppression is associated with symptoms of depression and anxiety. The prevention of mental distress can be supported by guiding people about the importance of using healthy emotion regulation strategies, as well as helping them to become more aware of the way they interpret and regulate their emotions. Gender differences in emotion regulation suggest gender awareness, e.g., tailored programs for men and women.

Does abstaining from alcohol in high school moderate intervention effects for college students? Implications for tiered intervention strategies.

Brief motivational intervention (BMI) and personalized feedback intervention (PFI) are individual-focused brief alcohol intervention approaches that have been proven efficacious for reducing alcohol use among college students and young adults. Although the efficacy of these two intervention approaches has been well established, little is known about the factors that may modify their effects on alcohol outcomes. In particular, high school drinking may be a risk factor for continued and heightened use of alcohol in college, and thus may influence the outcomes of BMI and PFI. The purpose of this study was to investigate whether high school drinking was associated with different intervention outcomes among students who received PFI compared to those who received BMI. We conducted moderation analyses examining 348 mandated students (60.1% male; 73.3% White; and 61.5% first-year student) who were randomly assigned to either a BMI or a PFI and whose alcohol consumption was assessed at 4-month and 15-month follow-ups. Results from marginalized zero-inflated Poisson models showed that high school drinking moderated the effects of PFI and BMI at the 4-month follow-up but not at the 15-month follow-up. Specifically, students who reported no drinking in their senior year of high school consumed a 49% higher mean number of drinks after receiving BMI than PFI at the 4-month follow-up. The results suggest that alcohol consumption in high school may be informative when screening and allocating students to appropriate alcohol interventions to meet their different needs.

The Impact of Baseline User Characteristics on the Benefits of Real-Time Versus Intermittently Scanned Continuous Glucose Monitoring in Adults With Type 1 Diabetes: Moderator Analyses of the ALERTT1 Trial.

BACKGROUND: ALERTT1 showed that switching from intermittently scanned continuous glucose monitoring (isCGM) without alerts to real-time CGM (rtCGM) with alert functionality improved time in range (TIR; 70-180 mg/dL), glycated hemoglobin (HbA1c), time <54 mg/dL, and Hypoglycemia Fear Survey version II worry subscale (HFS-worry) score after six months in adults with type 1 diabetes (T1D). Moderator analyses aimed to identify certain subgroups that would benefit more from switching to rtCGM than others. METHODS: Post hoc analyses of ALERTT1 evaluated the impact of 14 baseline characteristics on the difference (delta) in mean TIR, HbA1c, time <54 mg/dL, and HFS-worry score at six months between rtCGM and isCGM. Therefore, the delta was allowed to depend on each of these variables by including interactions in the moderator analysis model. Analyses were performed separately for each variable; variables with P < .10 in the univariable analysis were combined into a single model. RESULTS: Univariable analyses showed no dependency of delta TIR, HbA1c, or time <54 mg/dL on variables other than CGM type. Only delta HFS-worry score depended on baseline HbA1c (P = .0059), indicating less worries with rtCGM in people with baseline HbA1c <6.5% or ≥8%. Given P < .10 for dependency of delta TIR on insulin therapy type (favoring multiple daily injections), baseline HbA1c, and baseline TIR, these variables were combined into a multivariable analysis; interactions were not statistically significant. CONCLUSIONS: Except for HFS-worry score, no interactions between 14 baseline characteristics and the six-month intervention effect of rtCGM on TIR, HbA1c, or time <54 mg/dL were observed, supporting the conclusion of ALERTT1 that switching from isCGM without alerts to rtCGM with alert functionality is beneficial for a wide range of people with T1D.

Subgroup analyses in randomized controlled trials frequently categorized continuous subgroup information.

BACKGROUND AND OBJECTIVES: To investigate how subgroup analyses of published Randomized Controlled Trials (RCTs) are performed when subgroups are created from continuous variables. METHODS: We carried out a review of RCTs published in 2016-2021 that included subgroup analyses. Information was extracted on whether any of the subgroups were based on continuous variables and, if so, how they were analyzed. RESULTS: Out of 428 reviewed papers, 258 (60.4%) reported RCTs with a subgroup analysis. Of these, 178/258 (69%) had at least one subgroup formed from a continuous variable and 14/258 (5.4%) were unclear. The vast majority (169/178, 94.9%) dichotomized the continuous variable and treated the subgroup as categorical. The most common way of dichotomizing was using a pre-specified cutpoint (129/169, 76.3%), followed by a data-driven cutpoint (26/169, 15.4%), such as the median. CONCLUSION: It is common for subgroup analyses to use continuous variables to define subgroups. The vast majority dichotomize the continuous variable and, consequently, may lose substantial amounts of statistical information (equivalent to reducing the sample size by at least a third). More advanced methods that can improve efficiency, through optimally choosing cutpoints or directly using the continuous information, are rarely used.

Optimal partitioning for the proportional hazards model.

This paper discusses methods for clustering a continuous covariate in a survival analysis model. The advantages of using a categorical covariate defined from discretizing a continuous covariate (via clustering) is (i) enhanced interpretability of the covariate's impact on survival and (ii) relaxing model assumptions that are usually required for survival models, such as the proportional hazards model. Simulations and an example are provided to illustrate the methods.

The effectiveness of web-based Mathematics instruction (WBMI) on K-16 students' mathematics learning: a meta-analytic research.

Given the increasing prevalence of web technology, web-based mathematics environments have been increasingly widely used in mathematics education for the past two decades. The COVID-19 pandemic has led to an urgent transition from traditional mathematics instruction (TMI) to web-based mathematics instruction (WBMI) at all levels of mathematics education. At this point, it is crucial to scrutinize the effects of WBMI on K-16 students' mathematics learning comprehensively. This meta-analysis research contained a total of 63 studies with 115 effect sizes, which aimed to investigate the effectiveness of WBMI on K-16 students' mathematics learning by incorporating potential moderators, namely mathematics topics, mathematical content standards, feedback status, type of instructional features, age (i.e., grade level), and assessment methods. Based on findings, WBMI has a significantly strong effect on K-16 students' mathematics learning (g = 1.10, p = 0.01, 95% CI [0.95, 1.27]). Moderator analyses reveal that the effect sizes of WBMI on K-16 students' mathematics learning varied significantly depending on all these potential moderators. Additionally, higher-level mathematical concepts, statistics and probability, WBMI with providing feedback, tutorial systems, undergraduate students, and traditional paper-pencil assessment are the strongest moderators in their context. The most notable results of this research are that WBMI is significantly more effective on students' mathematics learning than TMI, while even in the context of WBMI, traditional paper-pencil assessment is significantly more effective than online assessment. This meta-analytic research provides a comprehensive and up-to-date perspective on the effectiveness of WBMI on K-16 students' mathematics learning.

Parenting Programs That Address Physical Abuse in Childhood for Families of Children With Developmental Disabilities in Mainland China: Systematic Review and Meta-Regression.

Millions of children in China are diagnosed with developmental disabilities (DD), many of whom are subject to physical abuse. While a significant body of research suggests that parenting interventions can reduce the incidence and risk of such abuse, there is currently limited evidence of their effectiveness for this population or from non-English-speaking countries. This review involved searches in both English and Chinese databases to identify randomized controlled trials and quasi-experimental studies of parenting interventions for families of children with DD in mainland China. Multilevel meta-analyses were undertaken to examine the effectiveness of parenting programs. Subgroup analyses and meta-regression were conducted to investigate heterogeneity and identify potential moderators with a focus on intervention and delivery components. Risk of bias was assessed for each study. Thirty-one studies were included. The results showed that parenting interventions could reduce child emotional and behavioral problems (CEBP) and improve the parent-child relationship, although only one study directly measured the actual incidence of abuse. Programs for autism and epilepsy had stronger treatment effects. Teaching knowledge about CEBP, skills to improve parental mental health, and techniques to cultivate empathy were associated with program success; however, positive reinforcement was associated with more problems. The results also supported the delivery of programs with longer duration, a combination of group and individual sessions, efforts to build rapport, ongoing communication outside the programs, and delivery in hospitals or service agencies. Further research is needed, however, in addition to improvements in the quality of research and reporting.

The Relationship Between Self-Control and Internet Addiction Among Students: A Meta-Analysis.

As past studies of self-control and Internet addiction showed mixed results, this meta-analysis of 83 primary studies with 80,681 participants determined whether (a) these students with less self-control had greater Internet addiction, and (b) age, culture, gender, Internet addiction measures, or year moderated these relations. We used a random-effects meta-analysis of Pearson product-moment coefficients r with Fisher's z-transformation and tested for moderation with the homogeneity tests. The results showed a positive link between impulsivity and Internet addiction (r = 0.371, 95% CI = [0.311, 0.427]) and a negative link between restraint and Internet addiction (r = -0.362, 95% CI = [-0.414, -0.307]). The moderation analysis indicated that the correlation between impulsivity indicators and greater Internet addiction was stronger among undergraduates (18-22 years old) than among adolescents (10-17 years old). Furthermore, the negative link between a restraint indicator and Internet addiction was greater (a) among students in East Asia than those in Western Europe/North America, (b) among males than females and (c) when using the Internet addiction measures GPIUS or IAT rather than CIAS. Hence, these results indicate a negative link between self-control and Internet addiction, and this link is moderated by age, culture, gender, and Internet addiction measure.

Influence of Dietary Nutrient Intake on Episodic Memory Across the Adult Life Span.

The aim of the study was to identify nutrients that have the ability to impact brain functioning and, as a consequence, influence episodic memory. In particular, we examined recollection, the ability to recall details of previous experiences, which is the episodic memory process most affected as age advances. A sample of 1,550 healthy participants between 21 and 80 years old participated in the study. Nutritional intake was examined through a food frequency questionnaire and software developed to determine the daily consumption of 64 nutrients based on food intake during the last year. Recollection was measured through a computerized source memory paradigm. First, we identified which nutrients influence recollection across the entire adult life span. Then, moderator analyses were conducted by dividing the sample into young (21-40 years old), middle-aged (41-60 years old) and older (61-80 years old) adults to establish in which life stage nutrients influence episodic memory. Across the adult life span, recollection accuracy was shown to benefit from the intake of sodium, heme, vitamin E, niacin, vitamin B6, cholesterol, alcohol, fat, protein, and palmitic, stearic, palmitoleic, oleic, gadoleic, alpha-linoleic and linoleic acid. The effects of energy, maltose, lactose, calcium and several saturated fatty acids on recollection were modulated by age; in older adults, the consumption of these nutrients negatively influenced episodic memory performance, and in middle-aged adults, only lactose had negative effects. Several brain mechanisms that support episodic memory were influenced by specific nutrients, demonstrating the ability of food to enhance or deteriorate episodic memory.

Locus of control moderates the association of COVID-19 stress and general mental distress: results of a Norwegian and a German-speaking cross-sectional survey.

BACKGROUND: An internal locus of control (LoC I) refers to the belief that the outcome of events in one's life is contingent upon one's actions, whereas an external locus of control (LoC E) describes the belief that chance and powerful others control one's life. This study investigated whether LoC I and LoC E moderated the relationship between COVID-19 stress and general mental distress in the general population during the early months of the COVID-19 pandemic. METHODS: This cross-sectional survey study analysed data from a Norwegian (n = 1225) and a German-speaking sample (n = 1527). We measured LoC with the Locus of Control-4 Scale (IE-4), COVID-19 stress with a scale developed for this purpose, and mental distress with the Patient Health Questionnaire 4 (PHQ-4). Moderation analyses were conducted using the PROCESS macro for SPSS. RESULTS: The association between COVID-19 stress and general mental distress was strong (r = .61 and r = .55 for the Norwegian and the German-speaking sample, respectively). In both samples, LoC showed substantial moderation effects. LoC I served as a buffer (p < .001), and LoC E exacerbated (p < .001) the relation between COVID-19 stress and general mental distress. CONCLUSIONS: The data suggest that the COVID-19 pandemic is easier to bear for people who, despite pandemic-related strains, feel that they generally have influence over their own lives. An external locus of control, conversely, is associated with symptoms of depression and anxiety. The prevention of mental distress may be supported by enabling a sense of control through citizen participation in policy decisions and transparent explanation in their implementation.

Meta-analysis of diabetes mellitus prevalence among tuberculosis patients in Asia and Africa.

OBJECTIVE: To determine the prevalence rate of diabetes mellitus among active tuberculosis patients, and to assess the impact of age in this regard. METHODS: The meta-analysis comprised studies conducted in Asian and African countries from 2012 to 2018. Data was extracted from the selected studies and was analyzed using the Meta extension of Excel. Comprised studies conducted in Asian and African countries from 2012 to 2018. Data was extracted from the selected studies and was analyzed using the Meta extension of Excel. RESULTS: Of the 200 studies reviewed, 15(7.5%) were selected for further analyses. The selected studies involved a total of 28,055 patients. Of the selected studies, 8(53%) were from Asia and 7(47%) were from Africa. The overall pooled prevalence of diabetes among tuberculosis patients was 26% (95% confidence interval: 14.62 to 35.34). Age had a significant negative effect on the prevalence rate (95% confidence interval: -0.634 to 4.179). CONCLUSIONS: Diabetes was found to be widely spreading among Asian and African people, and age was found to be a significant negative factor.

Meta-analytic structural equation modeling made easy: A tutorial and web application for one-stage MASEM.

Meta-analytic structural equation modeling (MASEM) refers to fitting structural equation models (SEMs) (such as path models or factor models) to meta-analytic data. Currently, fitting MASEMs may be challenging for researchers that are not accustomed to working with R software and packages. Therefore, we developed webMASEM; a web application for MASEM. This app implements the one-stage MASEM approach, and allows users to apply MASEM in a user-friendly way. The aim of this article is to provide a tutorial on one-stage MASEM and a practical guide to webMASEM. We will pay specific attention to how the data should be structured and prepared for webMASEM, because mistakes in this step may lead to faulty results without receiving an error message. The use of webMASEM is illustrated with an analysis of a meta-analytic path model in which the path coefficients are moderated by a study-level variable, a meta-analytic factor model in which the factor loadings are moderated by a study-level variable, and a meta-analytic panel model in which the effects are moderated by a study-level variable. All used datafiles and R scripts are available online.