Restricted Maximum Likelihood Research Articles

Firm ownership structure and voluntary carbon disclosure: a systematic review and meta-analysis

Purpose This study aims to systematically consolidate and quantitatively integrate the mixed empirical results on the association between ownership mechanisms and voluntary carbon disclosure using meta-analysis and further propose potential country-level moderators of this relationship. Design/methodology/approach The authors apply meta-analytic procedures on 55 empirical studies conducted during 2008–2022, covering 13 countries, 85 effect sizes and 226,473 firm-year observations. To gauge the significance of the estimated mean effect size, a random-effects Hedges and Olkin meta-analysis procedure is adopted, followed by a restricted maximum likelihood based meta-regression, to test the effect of possible moderators. Findings Aligned with agency and stakeholder theories, the results highlight institutional and state ownership (SO) as having a significant positive impact on voluntary carbon disclosure. On the other hand, ownership concentration, managerial and foreign ownership have an insignificant effect on voluntary carbon disclosure. Based on institutional theory perspectives, the authors confirm the impact of institutional ownership on voluntary carbon disclosure to be more prominent in civil law countries and those countries that have implemented an emission trading scheme (ETS). Practical implications The finding that institutional and SO in firms can translate into higher voluntary disclosures deems investors and the government as crucial stakeholders in achieving carbon neutrality. Furthermore, the finding that the effect of institutional investors on carbon disclosure is heightened in ETS-implemented countries provides evidence to the regulatory authorities in favour of this scheme. Social implications The positive impact of institutional and government ownership on voluntary carbon disclosure highlights that these ownership structures not only have the potential to transform corporate decisions but also have implications for the wider society. As firms owned by institutional investors disclose their carbon information, it provides access to critical information about their environmental practices to the public. This fosters an environment of transparency and trust between the firm and its stakeholders (the community), leading to an overall well-informed society. Originality/value While prior meta-reviews studied the impact of corporate governance on voluntary disclosures, the meta-literature, as of 2024, has yet to address its influence specifically on carbon disclosures, which are pertinent amidst the ongoing global climate change crisis. The findings inform policymakers about the pivotal institutional factors that can amplify the impact of effective ownership structures on voluntary carbon disclosure. Future scope exists for investigating the effects of ownership mechanisms on firm-level sustainable investments. Furthermore, future empirical analysis could consider the moderating influence of “culture” and “ease of doing business” on the ownership-carbon disclosure relationship.

Estimates of Maternal Effect and (co)Variance Components for BodyWeight at Different Ages by Animal Model in Chokla Sheep

Background: For this study, information was gathered on 6785 Chokla sheep at the Central Sheep and Wool Research Institute in Bikaner, Rajasthan, India and documented between 1974 and 2020. Methods: (Co)variance components and genetic parameters of weight at birth (BW), weaning (WW), 6, 9 and 12 months of age (6W,9W and YW, respectively) of Chokla sheep, were estimated by average algorithm restricted maximum likelihood (AIREML), fitting six different animal models with various combinations of direct and maternal effects. Result: The direct heritability estimates increased from birth to twelve months of age and values for all the body weight traits except birth weight (0.170) were moderate (0.30-0.50). The maternal influence diminished as age increases and maternal genetic effect (m2) was found to be important and sizeable at weaning stage (0.181). Maternal permanent environmental variance was found to influence the early body weight traits. Negative and high estimate of covariance between direct and maternal effects, resulted in highly inflated values of additive heritability. In this condition, it is more useful to use the total heritability (h2t) for evaluation of the response for selection based on phenotypic values to prevent the use of biased estimates of additive heritability. Genetic and phenotypic correlations among body weights at different ages were positive and ranged from medium to high.

A Modified Split-Plot Design Rice Yield Model and Analysis

In this research, a modified split-plot design model (SPDM) is introduced, where the mean part of the SPDM is tailored with a three-parameter Gompertz function, which modifies the SPDM to an intrinsically nonlinear SPDM. The model is applied to a balanced 2-replicated 3×42 mixed-level split-plot design experiment to determine the irrigation effect on four varieties of rice trial at four different rates of nitrogen fertilizer. The SPDM parameters were estimated through the methods of estimated generalized least squares (EGLS) and restricted maximum likelihood estimation (REML) for estimating the SPDM variance components. The parameter estimates are compared to estimates from ordinary least squares (OLS) and maximum likelihood estimation (MLE) estimates of the variance using four median adequacy measures and three information criteria for goodness of fit. The results obtained shows that the modified SPDM is a good fit, and its EGLS-REML estimates are of better reliability and adequacy compared to the OLS and EGLS-MLE techniques.

Complete versus culprit-only percutaneous coronary intervention in elderly patients with acute coronary syndrome and multivessel coronary artery disease: A systematic review and meta-analysis

BackgroundCulprit-only percutaneous coronary intervention (PCI) is commonly performed for acute coronary syndrome (ACS) with multivessel coronary artery disease (MVD) in the elderly. Complete revascularization has been shown to benefit the general population, yet its safety and efficacy in older patients are uncertain. MethodsFollowing PRISMA guidelines, we systematically searched PubMed, Embase, and Cochrane databases for randomized controlled trials (RCTs) comparing complete versus culprit-only PCI in patients ≥65 years old with ACS and MVD. The primary outcome was major adverse cardiovascular events (MACE). Secondary outcomes included myocardial infarction (MI), ischemia-driven revascularization (IDR), all-cause mortality, and cardiovascular mortality. Data were pooled using a random effects model with a restricted maximum likelihood estimator to generate risk ratios (RRs). ResultsFive RCTs with 4105 patients aged ≥65 years were included. Compared with culprit-only PCI, complete revascularization reduced MI (RR 0.65; 95 % CI 0.49–0.85; p < 0.01). MACE (RR 0.75; 95 % CI 0.54–1.05; p = 0.09) and IDR (RR 0.41; 95 % CI 0.16–1.04; p = 0.06) were not significantly different between both strategies among those aged ≥65. However, there was a significant reduction in MI (RR 0.69; 95 % CI 0.49–0.96; p-value = 0.03), MACE (RR 0.78; 95 % CI 0.65–0.94; p < 0.01), and IDR (RR 0.60; 95 % CI 0.41–0.89; p < 0.01) in those aged ≥75. ConclusionsIn elderly patients aged ≥65 years with ACS and MVD, a strategy of complete revascularization by PCI reduces MI compared to culprit-only PCI with no significant difference in MACE and IDR. However, complete revascularization reduced MI, MACE, and IDR in those aged ≥75 years suggesting a possible benefit in this age group.

Comparative Effectiveness of Sotatercept and Approved Add-On Pulmonary Arterial Hypertension Therapies: A Systematic Review and Network Meta-Analysis.

There are no direct comparisons of sotatercept to add-on therapies approved for PAH. This study aimed to compare the efficacy and safety of add-on sotatercept versus other add-on therapies using a network meta-analysis. We searched MEDLINE, Embase, the Cochrane CENTRAL, and Clinicaltrials.gov until April 15, 2023, for randomized trials involving PAH patients treated with add-on sotatercept or add-on other PAH therapies. Data extraction and risk of bias assessments were performed independently and in duplicate using the Cochrane RoB 2.0 tool. We performed frequentist random-effects network meta-analysis using the restricted maximum likelihood (REML) estimator and assessed the certainty of evidence using the GRADE approach. Our search found 18 trials (5777 patients) eligible for analysis. Sotatercept reduces clinical worsening as compared to placebo (RR 0.21 [95% CI 0.11 to 0.41]; high certainty). Sotatercept probably reduces clinical worsening more compared to add-on ERA (RR 0.28 [95% CI 0.14 to 0.55]), prostanoid (Inh) (RR 0.21 [95% CI 0.07 to 0.67]), and prostanoid (PO) (RR 0.32 [95% CI 0.16 to 0.67]) (all moderate certainty). Sotatercept probably improves 6MWD as compared to placebo (MD 36.89m [95% CI 25.26 to 48.51]). Although sotatercept probably improves 6MWD more than add-on ERA (MD 18.38m [95% CI 5.92 to 30.84]) and prostanoid (PO) (MD 25.66m [95% CI 13.71 to 37.61]), it did not exceed the MCID of 33m (both moderate certainty). Sotatercept is an effective add-on therapy for PAH, likely superior to many approved add-on PAH therapies in reducing clinical worsening.

Effect of soil nutrient management on soil weed seed bank dynamics across a soil fertility gradient in smallholder farms, Eastern Zimbabwe

Weed seed banks are latent biotic stress contributors to low crop production among smallholder farms. The objective of this study was to investigate effect of repeated soil nutrient amendments on weed seed bank dynamics in eastern Zimbabwe. Soil samples were taken from three farms with low, medium and high soil organic carbon (SOC) along the catena. Sampled treatments included varying combinations of compound D (7%N, 14%P, 7% K) fertiliser, cattle manure and lime. Weeds that emerged per plot were counted by species and data was tested for normality before running a linear mixed-effects model and Restricted Maximum Likelihood. Principal Component Analysis (PCA) was performed to establish the relationship between seasons, SOC, soil nutrient amendment, and emerged weeds. Significant (p &amp;lt; .05) species richness (Margalef index), and Shannon Weiner index were recorded in the medium (6.4g kg-1soil), high (8 g kg-1 soil) and low (&amp;lt; 3.9 g kg-1soil) SOC. Weed species emergence was significantly (p &amp;lt; .05) influenced by the level of SOC along the catena positions, representing results from the source. Emergency and abundance of weeds such as Richardia scabra, was associated with low SOC acidic sandy soils from the upper catena. However, application of nutrients (NPK+lime treatment) reduced weed species counts from 1.96±0.12 to 1.4±0.12. Cattle manure and NPK+CM treatments recorded significantly higher weed emergence, and weed biomass; compared to the control. Clearly, cattle manure treatments significantly increase the soil weed seed bank; thus, weeding intensity is likely to increase in cattle manure treated fields.

Maternal genetic effects throughout the life of the dam in Pirenaica beef cattle. a random regression model approach

In beef cattle, dams play a crucial role in shaping the pre- and postnatal environment for the growth of their offspring. Acknowledging the substantial impact of maternal influence on the early development of calves, researchers utilize maternal animal models. These models take into account both maternal genetic and permanent environmental effects, operating under the assumption that these influences remain constant throughout the productive life of the cow. Nevertheless, it cannot be ruled out that these genetic and environmental effects may evolve throughout the lifespan of the cows. Therefore, this study aims to describe the changes in genetic and environmental maternal effects over the productive lifespan of cows. To accomplish this goal, we utilized random regression models, incorporating the age of the dam effect, maternal genetic effects, and environmental permanent effects using Legendre orthogonal polynomials. Additionally, the analytical model incorporated a covariate to adjust for the calf’s age at recording, a two-level sex effect, a random herd-year-season effect, and an additive direct genetic effect associated linked to the calf. The dataset comprised information from dams aged between 2 and 16 years, resulting in a final database that comprised weight records of 58 332 calves from 21 673 dams. The average weight at 90 days was 135.0 ± 39.3 kg, and the mean age of the dam at calving was 7.03 ± 3.41 years. We evaluated models incorporating 2, 3, 4, 5, and 6 orthogonal polynomials alongside the standard maternal animal model. Afterward, we selected the model with five orthogonal polynomials based on the Akaike Information Criteria. The Restricted Maximum Likelihood estimates within this model indicated a direct heritability of around 0.50, and a maternal heritability ranging between 0.15 and 0.25, exhibiting a consistent increase between 4, 5 to 13 years. The genetic correlation estimates between direct and maternal genetic effects remained stable at approximately −0.55 across the lifespan of the cows. Furthermore, maternal genetic correlations between different ages of the dam decreased to around 0.7 for more distant age points. The maternal permanent correlations were notably lower, occasionally even reaching negative values, suggesting variability in environmental influence on maternal effects over the productive lifespan of the cow. Finally, the model enables the prediction of breeding values for the maternal genetic effects of the cow across its lifespan, providing opportunities for innovative selection strategies on the maternal side.

Genetic parameters for milk yield and reproductive traits in Honduran Holstein cattle.

The aim of this study was to estimate the (co)variance components and genetic parameters for milk yield adjusted to 305d (MY305), calving-to-conception interval (CCI), number of services per conception (NSC) and calving interval (CI) of Honduran Holstein cows, by fitting a bivariate animal model using Maximum Restricted Likelihood procedures. Model included the fixed effects of calving number, the contemporary calving group (farm-season-year of calving and the cow age as covariate). The estimated means and standard deviations for MY, CCI, NSC and CI were, 5098.60 ± 1564.32kg, 168.27 ± 104.71 days, 2.46 ± 1.69 services, and 448.73 ± 109.16 days, respectively; and their estimated heritabilities were 0.21 ± 0.05, 0.03 ± 0.028, 0.02 ± 0.024 and 0.06 ± 0.04, respectively. The genetic correlations between MY305 and CCI, NSC and CI were positive and antagonist, with values of 0.64 ± 0.52, 0.99 ± 0.56, and 0.32 ± 0.24 respectively. Even though moderate to low heritability was estimated for MY305, systematic selection for milk yield, with a reduction in reproductive efficiency, if considered as the only selection criterion is important to be considered. By including reproductive traits and considering permanent environment effects into the breeding program, might yield a slow, but constant and permanent improvement over time.

The relationship between interpersonal problems and therapeutic alliance in psychotherapy: A three-level mixed-effects meta-analysis.

Psychotherapy is an interpersonal process of collaboration toward specified treatment goals. The therapeutic alliance is well established as an important factor of psychotherapeutic change. However, the experience of distress in social interactions, commonly referred to as interpersonal problems, might be interfering with the collaborative process during psychotherapy. This study systematically reviews the literature and obtains an estimate of the relationship between pretreatment interpersonal problems and the quality of the therapeutic alliance. Overall, 27 studies with 48 correlation coefficients were included in the final analysis. Due to the nested structure of the data, a three-level meta-analytic approach with a restricted maximum likelihood estimator was applied. Alliance assessment phase, alliance rater, alliance measure instrument, and treatment type were tested as potential moderators. Heterogeneity and publication bias test were performed. The meta-analysis showed a small, but significant negative relationship between interpersonal problems at the beginning of psychotherapy and subsequent therapeutic alliance (r = -.12, SE = .02, 95% CI [-.16, -.08], p < .001, d = -.27). Only alliance assessment phase accounted for significant variability. There were no indications for a substantial publication bias. Interpersonal problems of patients before psychotherapy are a robust predictor for lower therapeutic alliance quality, albeit a small effect size. Consequently, patients who experience interpersonal problems may face greater challenges in developing a strong alliance with their therapists, especially in early stages of the treatment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

#2832 Lean tissue mass is associated with mortality across different stages of chronic kidney disease: a systematic review and meta-analysis

Abstract Background and Aims Loss of lean tissue mass (LLTM) commonly occurs in multiple long-term conditions (LTC), including chronic kidney disease (CKD), and is thought to be associated with adverse outcomes including mortality, frailty surrogates and poor quality of life. It remains unclear whether LLTM is directly associated with mortality in CKD after adjusting for the severity of CKD or the degree of multimorbidity, and whether such associations remain in other LTC with similar levels of multimorbidity, such as heart failure (HF). Method A systematic review was conducted in adult CKD [kidney transplant (KT), CKDG3-5 or dialysis treated kidney failure (D-KF)] and HF patients who had whole body bioimpedance defined lean tissue mass (BI-LTM). The primary outcome was mortality, with secondary outcomes including hospitalisation and health related quality of life (HRQoL). The review was registered with PROSPERO (CRD42021240688) and was conducted according to PRISMA guidelines. Electronic database searches of MEDLINE, EMBASE, AMED, CINAHL, PsychInfo, Web of Science, CENTRAL, ICTRP and ISRCTN were searched from inception until June 2023. Data extraction and risk of bias assessments, using the Quality in Prognosis Studies (QUIPS) tool, was performed by two independent reviewers. Random effects meta-analysis was conducted using STATA SE16.2 using restricted maximum likelihood (REML) estimation. Results From 10,024 citations, 126 studies were identified (100 D-KF, 12 CKDG3-5, 2 KT, 3 mixed CKD and 9 HF) reporting outcomes on 143,053 D-KF, 15,164 CKDG3-5, 346 KTR and 3716 HF patients respectively. There were 1,227 deaths (over 2-5 years) in the HF studies and 16,471 deaths (over 1-20 years) in the CKD studies. The weighted mean eGFRCreat was 54 and 42 ml/min/1.73 m2 in the KT and CKDG3-5 studies, with only 3 HF studies reporting any measure of renal function (all using categorical cut offs). In 87 studies survival analyses of all-cause mortality (ACM) showed that BI-LTM was associated with mortality in 67%, 100%, 85% and 74% of the HF, KT, CKDG3-5 and D-KF studies respectively after adjusting for age, sex, diabetic status, comorbidity score, CRP / IL-6, albumin and bioimpedance defined fluid measures in 93%, 77%, 64%, 17%, 32%, 59% and 24% of analyses. Meta-analysis within D-KF studies reporting MVA revealed a 1-degree decrease in phase angle (pooled HR 1.82, 95% CI 1.50-2.20: Fig. 1A) and lean tissue index &amp;lt;10th percentile (pooled HR 1.48, 95% CI 1.31-1.66: Fig. 1B) was associated with ACM. Leave one out meta-analysis and sensitivity analyses removing studies at high-risk of statistical analysis and study confounding bias confirmed these pooled estimates were robust. Of the studies reporting secondary outcomes including hospitalisation and HRQoL (including the Short Form-36 and Kidney Disease Quality of Life Instrument), 67% showed associations with BI-LTM. Conclusion LLTM is associated with mortality across all stages of CKD and in heart failure. Furthermore, LLTM is associated with adverse outcomes such as hospitalisation and poor quality of life. This study confirms that LLTM potentially has an important role in the explanatory pathway for adverse outcomes in patients with LTCs, including CKD. Using BI-LTM may provide a way to identify early LLTM and target interventions to reduce the risk of adverse outcomes in these multimorbid cohorts.

Abelson Tyrosine Kinase Inhibitors in Parkinson's Disease and Lewy Body Dementia: A Systematic Review, Meta-analysis, and Meta-regression.

Alpha-synucleinopathies are incurable neurodegenerative diseases. Abelson tyrosine kinase inhibitors (Abl TKIs) may be disease-modifying therapies. This systematic review, meta-analysis, and meta-regression evaluated the use of Abl TKIs in their treatment. We searched PubMed, Embase, and Cochrane databases for trials using Abl TKIs in patients with Parkinson's disease and Lewy body dementia published until July 2023. The outcome was the change in the MDS-UPDRS-III (Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale III). DerSimonian-Laird random-effects model was used to calculate the pooled effect estimates. Leave-one-out forest plots were used for the sensitivity analysis, and meta-regression (restricted maximum likelihood) was performed. Five studies (197 patients) were included. Nilotinib 300 mg had an effect size of -1.154 (95% confidence interval [CI], -3.000 to 0.692). Nilotinib 150 mg and bosutinib 100 mg versus placebo yielded 0.82 (95% CI, -3.76 to 5.41). Sensitivity analysis showed that 1 trial changed the significance of the nilotinib 300 mg single-arm analysis (MD = -1.723; 95% CI, -2.178 to -1.268). Meta-regression revealed that lower age (EC = -0.9103, SE = 0.2286, P < 0.0001) and higher baseline MDS-UPDRS-III scores (EC = 0.1210, SE = 0.0168, P < 0.0001) could explain the inefficacy of nilotinib 300 mg. Nilotinib (300 mg) proved effective postsensitivity analysis, unlike lower doses and bosutinib in Parkinson's disease/Lewy body dementia. Abl TKIs showed reduced efficacy in younger, more impaired patients, indicating the need for further testing with higher-potency drugs in patients who have diseases that are in the early stage but with a later onset.

Genetic parameters for reproductive traits and somatic cell score in U.S. dairy goats.

There are no studies regarding the estimation of genetic parameters and genetic trends for reproductive traits and somatic cells in goats. Their knowledge allows optimization of selection schemes. The objective of this study was to estimate genetic parameters and genetic and phenotypic trends for age at first kidding (AFK), kidding interval (KIN) and somatic cell score (SCS). Analyses were conducted within and across seven US goat breeds, namely, Nubian (NU), Alpine (AL), LaMancha (LM), Toggenburg (TO), Saanen (SA), Nigerian Dwarf (ND) and Oberhasli (OB), and a set of all of these breeds (AB). The restricted maximum likelihood methodology and trivariate animal models were used. Genetic and phenotypic trends were estimated using regression models. The average and standard deviation of AFK, KIN and SCS for AB were 573.6 ± 178.5days, 418.8 ± 125.5days and 4.67 ± 2.23 Log2, respectively. The heritabilities (h2) and standard errors of AFK, KIN and SCS for AB were 0.28 ± 0.02, 0.04 ± 0.02 and 0.22 ± 0.01, respectively. The h2 ranged from 0.15 (SA) to 0.37 (NU) for AFK, from 0.04 (AB) to 0.10 (AL) for KIN, and from 0.11 (TO) to 0.26 (LM and ND) for SCS. Genetic correlations between AFK and KIN and between AFK and SCS for AB were positive and weak (0.07 and 0.12, respectively) but significant (P < 0.01). Genetic correlations between SCS and KIN were significant (P < 0.01) for all the breeds and ranged from -0.15 (NU) to 0.44 (AL). Genetic correlations between AFK and SCS in the NU and AL breeds were similar (approximately 0.21). A positive genetic trend was found for KIN in the SA breed, which caused an increase in the number of days between consecutive kiddings. The genetic trend of SCS for the NU, AL and ND breeds was negative and decreased annually, which is beneficial for producers. These first results show the intensity and direction of some favorable/unfavorable relationships between AFK or KIN and SCS Log2 in some U.S. goat genetic groups.

Association between insulin resistance and multiple sclerosis: a systematic review and meta-analysis.

There is increasing evidence of metabolic perturbations in multiple sclerosis (MS) patients, and insulin is an important parameter that has controversial effects on neurological disease. Therefore, this systematic review and meta-analysis study aimed to explore the association between insulin resistance (IR) and MS as well as insulin levels and MS.Three electronic databases, including Medline, Scopus, and the Web of Science, were examined up to 26 May 2023 for observational studies. Two independent reviewers assessed the studies according to a pre-specified protocol. Random-effects model using a Restricted-maximum Likelihood (REML) estimator was used to meta-analyze the association between IR [assessed by Homeostatic Model Assessment (HOMA-IR)], insulin and MS.Eighteen datasets from 2012 to 2022 were included in this meta-analysis. The standardized mean difference (SMD) for comparison IR and insulin between MS and healthy control group as outcomes 1 and 2 were 0.78 and 0.72 respectively. Furthermore, for outcome 1, we observed a greater effect size in studies that recruited different types of MS (Mix) (SMD: 1.09) than in those that included only relapsing-remitting MS (RRMS) (SMD: 0.59).The meta-analysis revealed a significant association between IR, insulin and MS, with stronger associations in studies that recruited mixed patients. However, high heterogeneity has been observed in the present study. Therefore, more studies are needed to confirm the association between these parameters and MS.

Hierarchical modelling of variance components makes analysis of resolvable incomplete block designs more efficient

The standard approach to variance component estimation in linear mixed models for alpha designs is the residual maximum likelihood (REML) method. One drawback of the REML method in the context of incomplete block designs is that the block variance may be estimated as zero, which can compromise the recovery of inter-block information and hence reduce the accuracy of treatment effects estimation. Due to the development of statistical and computational methods, there is an increasing interest in adopting hierarchical approaches to analysis. In order to increase the precision of the analysis of individual trials laid out as alpha designs, we here make a proposal to create an objectively informed prior distribution for variance components for replicates, blocks and plots, based on the results of previous (historical) trials. We propose different modelling approaches for the prior distributions and evaluate the effectiveness of the hierarchical approach compared to the REML method, which is classically used for analysing individual trials in two-stage approaches for multi-environment trials.

Immediate or delayed trial without catheter in acute urinary retention in males: A systematic review

Immediate or delayed trial without catheter in acute urinary retention in males: A systematic review

The effect of physical activity on anxiety symptoms among children and adolescents with mental health disorders: a research brief.

Anxiety is prevalent among children and adolescents (termed youths), and leads to reduced quality of life, disability, loss of education and reduced life-span. Physical activity has shown promising effects on symptoms of anxiety in adult populations, and an increasing amount of research has also demonstrated some effect in youth. However, physical activity is not widely used in youth mental health care, and research is very limited. This single arm, pre-post study explores the effect of a manualized physical activity-based 14-session intervention termed Confident, Active and Happy Youth. Participants are youth attending specialized mental health care (N=51, M age = 13.4, SD = 2.2). Changes in anxiety symptoms are examined using mixed models with residual maximum likelihood (REML). The potential effect of anxiety subtype differences, participant age, comorbidity, and time spent in out-patient care are explored. Youths did not report any effect on anxiety symptoms after participation in CAHY, however, their parents report a significant reduction in youth's anxiety symptoms in general (b = -0.11, 95%, CI: -0.21 to -0.01) and specifically for social phobia (b = -0.19, 95% CI: -0.35 to -0.03). Age and comorbidity showed no significant effect on anxiety symptoms post treatment. Prior treatment time in youth mental health care demonstrated inconclusive results. The study finds initial evidence of symptomatic change in a clinical population of youth's receiving a physical activity-based intervention. Our research provides preliminary support for physical activity as a supplementary treatment method for mental health disorders among youths. clinicaltrials.gov, NCT05049759.

Influence of hydrometeorological risk factors on child diarrhea and enteropathogens in rural Bangladesh.

A number of studies have detected relationships between weather and diarrhea. Few have investigated associations with specific enteric pathogens. Understanding pathogen-specific relationships with weather is crucial to inform public health in low-resource settings that are especially vulnerable to climate change. Our objectives were to identify weather and environmental risk factors associated with diarrhea and enteropathogen prevalence in young children in rural Bangladesh, a population with high diarrheal disease burden and vulnerability to weather shifts under climate change. We matched temperature, precipitation, surface water, and humidity data to observational longitudinal data from a cluster-randomized trial that measured diarrhea and enteropathogen prevalence in children 6 months-5.5 years from 2012-2016. We fit generalized additive mixed models with cubic regression splines and restricted maximum likelihood estimation for smoothing parameters. Comparing weeks with 30°C versus 15°C average temperature, prevalence was 3.5% higher for diarrhea, 7.3% higher for Shiga toxin-producing Escherichia coli (STEC), 17.3% higher for enterotoxigenic E. coli (ETEC), and 8.0% higher for Cryptosporidium. Above-median weekly precipitation (median: 13mm; range: 0-396mm) was associated with 29% higher diarrhea (adjusted prevalence ratio 1.29, 95% CI 1.07, 1.55); higher Cryptosporidium, ETEC, STEC, Shigella, Campylobacter, Aeromonas, and adenovirus 40/41; and lower Giardia, sapovirus, and norovirus prevalence. Other associations were weak or null. Higher temperatures and precipitation were associated with higher prevalence of diarrhea and multiple enteropathogens; higher precipitation was associated with lower prevalence of some enteric viruses. Our findings emphasize the heterogeneity of the relationships between hydrometeorological variables and specific enteropathogens, which can be masked when looking at composite measures like all-cause diarrhea. Our results suggest that preventive interventions targeted to reduce enteropathogens just before and during the rainy season may more effectively reduce child diarrhea and enteric pathogen carriage in rural Bangladesh and in settings with similar meteorological characteristics, infrastructure, and enteropathogen transmission.

Share of Adult Suicides After Recent Jail Release

Although people released from jail have an elevated suicide risk, the potentially large proportion of this population in all adult suicides is unknown. To estimate what percentage of adults who died by suicide within 1 year or 2 years after jail release could be reached if the jail release triggered community suicide risk screening and prevention efforts. This cohort modeling study used estimates from meta-analyses and jail census counts instead of unit record data. The cohort included all adults who were released from US jails in 2019. Data analysis and calculations were performed between June 2021 and February 2024. The outcomes were percentage of total adult suicides within years 1 and 2 after jail release and associated crude mortality rates (CMRs), standardized mortality ratios (SMRs), and relative risks (RRs) of suicide in incarcerated vs not recently incarcerated adults. Taylor expansion formulas were used to calculate the variances of CMRs, SMRs, and other ratios. Random-effects restricted maximum likelihood meta-analyses were used to estimate suicide SMRs in postrelease years 1 and 2 from 10 jurisdictions. Alternate estimate was computed using the ratio of suicides after release to suicides while incarcerated. Included in the analysis were 2019 estimates for 7 091 897 adults (2.8% of US adult population; 76.7% males and 23.3% females) who were released from incarceration at least once, typically after brief pretrial stays. The RR of suicide was 8.95 (95% CI, 7.21-10.69) within 1 year after jail release and 6.98 (95% CI, 4.21-9.76) across 2 years after release. A total of 27.2% (95% CI, 18.0%-41.7%) of all adult suicide deaths occurred in formerly incarcerated individuals within 2 years of jail release, and 19.9% (95% CI, 16.2%-24.1%) of all adult suicides occurred within 1 year of release (males: 23.3% [95% CI, 20.8%-25.6%]; females: 24.0% [95% CI, 19.7%-36.8%]). The alternate method yielded slightly larger estimates. Another 0.8% of adult suicide deaths occurred during jail stays. This cohort modeling study found that adults who were released from incarceration at least once make up a large, concentrated population at greatly elevated risk for death by suicide; therefore, suicide prevention efforts focused on return to the community after jail release could reach many adults within 1 to 2 years of jail release, when suicide is likely to occur. Health systems could develop infrastructure to identify these high-risk adults and provide community-based suicide screening and prevention.

Respiratory Syncytial Virus Sequelae Among Adults in High-Income Countries: A Systematic Literature Review and Meta-analysis.

Respiratory syncytial virus (RSV) can cause severe respiratory infections in adults; however, information on associated sequelae is limited. This systematic literature review aimed to identify sequelae in adults within 1year following RSV-related hospitalization or resolution of acute infection. Studies were identified from Embase, MEDLINE, LILACS, SciELO, and grey literature. Random-effects meta-analyses using restricted maximum likelihood were used to calculate the proportions and relative risks of sequelae in patients with RSV compared with controls (patients with RSV-negative influenza-like illness, influenza, and parainfluenza) per follow-up period, population, and treatment setting, where possible. Twenty-one relevant studies covering the period from 1990 to 2019 were included. Among the general population, the most frequent clinical sequela was sustained function loss (33.5% [95%CI 27.6-39.9]). Decline in lung function and cardiovascular event or congestive heart failure were also identified. Utilization sequelae were readmission (highest at > 6months after discharge) and placement in a skilled nursing facility. The only subpopulation with data regarding sequelae was transplant patients. Among lung transplant patients, the most frequently reported clinical sequelae were decline in lung function, followed by graft dysfunction and bronchiolitis obliterans syndrome. Pooled relative risks were calculated for the following sequela with controls (primarily influenza-positive patients): cardiovascular event (general population) and pulmonary impairment (hematogenic-transplant patients) both 1.4 (95%CI 1.0-2.0) and for readmission (general population) 1.2 (95%CI 1.1-1.3). Although less data are available for RSV than for influenza or other lower respiratory tract infections, RSV infection among adults is associated with medically important sequelae, with a prevalence similar to other respiratory pathogens. RSV sequelae should be included in disease burden estimates.

Linear Mixed-Effects Models for Dependent Data: Power and Accuracy in Parameter Estimation

Linear mixed-effects models have been increasingly used to analyze dependent data in psychological research. Despite their many advantages over ANOVA, critical issues in their analyses remain. Due to increasing random effects and model complexity, estimation computation is demanding, and convergence becomes challenging. Applied users need help choosing appropriate methods to estimate random effects. The present Monte Carlo simulation study investigated the impacts when the restricted maximum likelihood (REML) and Bayesian estimation models were misspecified in the estimation. We also compared the performance of Akaike information criterion (AIC) and deviance information criterion (DIC) in model selection. Results showed that models neglecting the existing random effects had inflated Type I errors, unacceptable coverage, and inaccurate R-squared measures of fixed and random effects variation. Furthermore, models with redundant random effects had convergence problems, lower statistical power, and inaccurate R-squared measures for Bayesian estimation. The convergence problem is more severe for REML, while reduced power and inaccurate R-squared measures were more severe for Bayesian estimation. Notably, DIC was better than AIC in identifying the true models (especially for models including person random intercept only), improving convergence rates, and providing more accurate effect size estimates, despite AIC having higher power than DIC with 10 items and the most complicated true model.