Obesity phenotypes and their relationships with atrial fibrillation

Background This study assessed the associations of metabolic obesity phenotypes with the risk of atrial fibrillation (Afib). Methods This prospective cohort study categorized Taiwanese adults according to their body mass index (BMI) and metabolic health status at baseline. We assigned the participants to the underweight (BMI < 18.5 kg/m2), normal weight (BMI = 18.5–23.9 kg/m2), and overweight/obesity groups (BMI ≥ 24 kg/m2). Metabolically healthy was defined as absence of hypertension, diabetes, and hyperlipidemia and the presence of healthy metabolic profiles. Results In total, 5,742 adults were included. During a median follow-up of 13.7 years, 148 patients developed Afib. Compared to the metabolically healthy normal weight group, the risk of Afib was significantly higher than those in the metabolically unhealthy overweight/obesity (hazard ratio = 2.20, 95% confidence interval [1.12–4.33]) and metabolically unhealthy normal weight groups (HR = 2.64, 95% CI [1.34–5.17]). Additionally, the point estimate suggested a 1.97-fold greater risk among the metabolically healthy overweight/obesity group, although this difference was not significant given the wide confidence interval (HR = 1.97, 95% CI [0.80–4.86]). Conclusion Our results demonstrated the relationships of metabolic health and weight regarding the risk of Afib in Taiwanese adults. The Afib risk among metabolic and obesity phenotypes is associated with a metabolically unhealthy status. A trend toward a higher Afib risk with obesity among metabolically healthy subjects was observed. However, the result was not robust and it still suggested further study.

Is the Prevalence of Equinus Foot in Cerebral Palsy Overestimated? Results from a Meta-Analysis of 4814 Feet

Background: Equinus is a common foot deformity in patients with cerebral palsy (CP). However, its prevalence is scarcely reported in the literature. Therefore, we conducted this review to estimate the prevalence of equinus foot in CP. Methods: Eight databases were searched. Our primary outcome was the prevalence of equinus foot in CP patients. Subgroup analysis was conducted based on study design, the laterality of CP, and whether equinus foot was defined or not. Results: The prevalence of equinus foot in CP was 93% (95% CI: 71–99). The prevalence was 99% (95% CI: 55–100), 96% (95% CI: 57–100), and 65% (95% CI: 37–86) in unilateral, both, and bilateral CP, respectively. Based on study design, equinus foot prevalence was 92% (95% CI: 34–100) in case series and 62% (95% CI: 47–74) in cohort studies. Four studies reported definition criteria for equinus foot, with a pooled prevalence rate of equinus foot of 99% (95% CI: 36–100) compared to a rate of 89% (95% CI: 59–98) among studies that lacked a definition criterion. Conclusions: This is the first meta-analysis to address the prevalence of equinus foot in CP patients. Although its prevalence is very high, our findings should be interpreted with caution due to the presence of multiple limitations, such as the lack of standardized definition criteria for equinus foot, the inappropriate study design, the wide confidence interval of equinus foot rate, and the small number of studies investigating it as a primary outcome.

Evaluation of glycemic traits in susceptibility to COVID-19 risk: a Mendelian randomization study

Background Observational studies suggest poorer glycemic traits and type 2 diabetes associated with coronavirus disease 2019 (COVID-19) risk although these findings could be confounded by socioeconomic position. We conducted a two-sample Mendelian randomization to clarify their role in COVID-19 risk and specific COVID-19 phenotypes (hospitalized and severe cases). Method We identified genetic instruments for fasting glucose (n = 133,010), 2 h glucose (n = 42,854), glycated hemoglobin (n = 123,665), and type 2 diabetes (74,124 cases and 824,006 controls) from genome wide association studies and applied them to COVID-19 Host Genetics Initiative summary statistics (17,965 COVID-19 cases and 1,370,547 population controls). We used inverse variance weighting to obtain the causal estimates of glycemic traits and genetic predisposition to type 2 diabetes in COVID-19 risk. Sensitivity analyses included MR-Egger and weighted median method. Results We found genetic predisposition to type 2 diabetes was not associated with any COVID-19 phenotype (OR: 1.00 per unit increase in log odds of having diabetes, 95%CI 0.97 to 1.04 for overall COVID-19; OR: 1.02, 95%CI 0.95 to 1.09 for hospitalized COVID-19; and OR: 1.00, 95%CI 0.93 to 1.08 for severe COVID-19). There were no strong evidence for an association of glycemic traits in COVID-19 phenotypes, apart from a potential inverse association for fasting glucose albeit with wide confidence interval. Conclusion We provide some genetic evidence that poorer glycemic traits and predisposition to type 2 diabetes unlikely increase the risk of COVID-19. Although our study did not indicate glycemic traits increase severity of COVID-19, additional studies are needed to verify our findings.

Is SARS-CoV-2 transmitted by asymptomatic and pre-symptomatic infected individuals?

KEY FINDINGSAsymptomatic and pre-symptomatic transmission of SARS-CoV-2 may occur.• Manifestations of COVID-19 are highly varied and may include asymptomatic cases, who do not manifest with anysigns and symptoms despite testing positive for COVID-19 by viral nucleic acid tests. Pre-symptomatic cases areinfected individuals who are still in their incubation period, hence do not exhibit any symptoms yet but eventuallydevelop symptoms.• As of June 2020, only 586 (2.8%) of the 20,990 active cases in the Philippines were classified as asymptomatic,but it is unclear whether cases are pre-symptomatic or carriers (true asymptomatic).• Based on 36 observational studies (case reports, case series, cross-sectional and cohort studies) and 9 statisticalmodeling analysis, asymptomatic and pre-symptomatic transmission of SARS-CoV-2 may occur. However, 3studies reported no transmission from pre-symptomatic and asymptomatic cases.• Studies on viral load comparing symptomatic cases with pre-symptomatic and asymptomatic cases reportedcontradicting results. The duration of viral shedding was significantly longer for symptomatic patients comparedto asymptomatic patients but similar for asymptomatic and pre-symptomatic patients.• Therewas no difference in the transmission rates of symptomatic and asymptomatic cases. However,the estimatedinfectivity and probability of transmission was higherfor symptomatic cases compared to asymptomatic cases, butresults were imprecise due to a wide confidence interval.• The World Health Organization (WHO) and Centers for Disease Control and Prevention (CDC) recognize thepossibility of pre-symptomatic and asymptomatic transmission. According to WHO, current evidence suggestsasymptomatic cases are less likely to transmit the virus than symptomatic cases.

Does background color affect moral judgment? Three pre-registered replications of Zarkadi and Schnall’s (2012) Study 1

Do colored backgrounds lead to polarized judgments? Zarkadi and Schnall (2012) found in their Study 1 that, indeed, exposing participants to a black-and-white (versus other colored) background polarized participants’ judgments in a moral dilemma task. This study supported a moral intuitionist model of moral judgment and lent further support to so-called Conceptual Metaphor Theories (Lakoff &amp; Johnson, 1999). We replicated the effect in three high-powered preregistered studies (total N = 846). We successfully replicated the same result of ZS1 in one study (Study 2), but were unable to replicate the effect in two other studies (Studies 1 and 3). A meso-analysis including both our 3 replications and the original study showed no significant effect of background color on moral judgment. We infer that, based on the wide confidence interval of the original study and the lack of evidence in the replication studies, there is no relationship between color of background and polarized judgments. We call for highly-powered within-designs to study the relationship between color and moral judgment. Materials, data, and code available at https://osf.io/8ksqj/.

Group cognitive behavioural treatment for insomnia in primary care: a randomized controlled trial

BackgroundInsomnia disorder is common and often co-morbid with mental health conditions. Cognitive behavioural therapy (CBT) for insomnia is effective, but is rarely implemented as a discrete treatment. The aim of this study was to evaluate the effectiveness of brief CBT groups for insomnia compared to treatment as usual (TAU) for insomnia delivered by mental health practitioners in a primary-care mental health service.MethodA total of 239 participants were randomized to either a five-session CBT group or to TAU. Assessments of sleep and of symptoms of depression and anxiety were carried out at baseline, post-treatment and at 20 weeks. Primary outcome was sleep efficiency post-treatment.ResultsGroup CBT participants had better sleep outcomes post-treatment than those receiving TAU [sleep efficiency standardized mean difference 0.63, 95% confidence interval (CI) 0.34–0.92]. The effect at 20 weeks was smaller with a wide confidence interval (0.27, 95% CI −0.03 to 0.56). There were no important differences between groups at either follow-up period in symptoms of anxiety or depression.ConclusionsDedicated CBT group treatment for insomnia improves sleep more than treating sleep as an adjunct to other mental health treatment.

ADHD and Psychiatric Comorbidity: Functional Outcomes in a School-Based Sample of Children

Objective: Investigate the prevalence and impact of psychiatric comorbidities in community-based samples of schoolchildren with/without ADHD. Method: Teachers and parents screened children in South Carolina (SC; n = 4,604) and Oklahoma (OK; n = 12,626) for ADHD. Parents of high-screen and selected low-screen children received diagnostic interviews (SC: n = 479; OK: n = 577). Results: Psychiatric disorders were increased among children with ADHD and were associated with low academic performance. Conduct disorder/oppositional defiant disorder (CD/ODD) were associated with grade retention (ODD/CD + ADHD: odds ratio [OR] = 3.0; confidence interval [CI] = [1.5, 5.9]; ODD/CD without ADHD: OR = 4.0; CI = [1.7, 9.7]). School discipline/police involvement was associated with ADHD alone (OR = 3.2; CI = [1.5, 6.8]), ADHD + CD/ODD (OR = 14.1, CI = [7.3, 27.1]), ADHD + anxiety/depression (OR = 4.8, CI = [1.6, 14.8]), and CD/ODD alone (OR = 2.8, CI = [1.2, 6.4]). Children with ADHD + anxiety/depression had tenfold risk for poor academic performance (OR = 10.8; CI = [2.4, 49.1]) compared to children with ADHD alone. This should be interpreted with caution due to the wide confidence interval. Conclusion: Most children with ADHD have psychiatric comorbidities, which worsens functional outcomes. The pattern of outcomes varies by type of comorbidity.

Estimating the snake species richness of the Santubong Peninsula (Borneo): a computer-simulation

The snake species richness of the Santubong Peninsula, Sarawak, Borneo, has been estimated previously by fitting a Weibull model to the rarefied species accumulation curve. In the present study, the estimation procedure was simulated in order to shed more light on its validity, i.e. its accuracy and precision. First, the estimate was updated on the basis of an additional, small-scale, survey carried out in 2011. Subsequently, survey-data were used to construct a simulation database. Twenty samples were randomly drawn from this database. Each sample was transformed into a rarefied species accumulation curve to which a Weibull model was fitted. For comparison, various related models were fitted as well. All applied models resulted in a downwardly biased estimate. The Weibull model performed best, providing the estimate of species richness with the smallest bias and thus highest accuracy. As for the precision of the estimate, a rather wide confidence interval was established.

Allelic polymorphism in the serotonin transporter gene in major depression patients*

Introduction: Major depression (MD), like other mood disorders, is considered a worldwide endemic pathology, becoming one of the biggest public health problems. The hereditary factors of mood disorders have been studied for many years and different chromosomal regions and genes have been involved in this physiopathological process. Objective: To establish the association between allelic variants of the serotonin transporter gene (5-HTTLPR and VNTR) and MD in a population with this diagnostic in the department of Caldas, Colombia. Materials and methods: A case-control study was conducted with individuals older than 16 years of age born in the department of Caldas. The sample was composed of 59 patients with the MD with family antecedents of the pathology and 59 controls paired by precedence, age, and gender. For the cases and controls selection the Diagnostic Interview for Genetic Studies (DIGS) was used. Using the Hranilovic et al. protocol, the polymorphic regions in the promoter and third intron of the Serotonin Transporter gene was amplified. Results: It was not possible to find association between MD and the genetic or clinical variables. The absence of the short allele of the promoter could act as a protective factor (OR=0.70 CI 95%=0.313 to 1.604), for the development of the pathology in this population, and the presence of at least one copy of the 10 repetition alleles of the third intron could act as a risk factor (OR: 1.25), but the wide confidence interval (CI 95%=0.38 to 2.64) does not permit supporting these conclusions. Discussion: The results obtained in this population do not yield conclusive information related with the etiopathogeny of MD, but do not contradict those obtained in other studies with bigger samples than ours. The broad confidence interval does not support conclusions about the role as a risk factor for the 10 repetition alleles of the intron or the absence of the S allele of the promoter as a protector factor. Further studies with larger population samples may help to clarify these facts.

Stochastic long term modelling of a drainage system with estimation of return period uncertainty

Long term prediction of maximum water levels and combined sewer overflow (CSO) in drainage systems are associated with large uncertainties. Especially on rainfall inputs, parameters, and assessment of return periods. This paper proposes a Monte Carlo based methodology for stochastic prediction of both maximum water levels as well as CSO volumes based on operations of the urban drainage model MOUSE in a single catchment case study. Results show quite a wide confidence interval of the model predictions especially on the large return periods. Traditionally, return periods of drainage system predictions are based on ranking, but this paper proposes a new methodology for the assessment of return periods. Based on statistics of characteristic rainfall parameters and correlation with drainage system predictions, it is possible to predict return periods more reliably, and with smaller confidence bands compared to the traditional methodology.