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Influence of COVID-19 Pandemic in Heart Companies in Bahrain: Developing Aerobic Standard protocol pertaining to Upcoming Epidemics.
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Demographic trends and the globalization of neuropsychology have led to a push toward inclusivity and diversity in neuropsychological research in order to maintain relevance in the healthcare marketplace. However, in a review of neuropsychological journals, O'Bryant et al. found systematic under-reporting of sample characteristics vital for understanding the generalizability of research findings. We sought to update and expand the findings reported by O'Bryant et al.

We evaluated 1648 journal articles published between 2016 and 2019 from 7 neuropsychological journals. Of these, 1277 were original research or secondary analyses and were examined further. Articles were coded for reporting of age, sex/gender, years of education, ethnicity/race, socioeconomic status (SES), language, and acculturation. Additionally, we recorded information related to sample size, country, and whether the article focused on a pediatric or adult sample.

Key variables such as age and sex/gender (both over 95%) as well as education (71%) were frequently reported. Language (20%) and race/ethnicity (36%) were modestly reported, and SES (13%), and acculturation (<1%) were more rarely reported. SES was more commonly reported in pediatric than adult samples, and the opposite was true for education. There were differences between the present results and those of O'Bryant et al., though the same general trends remained.

Reporting of demographic data in neuropsychological research appears to be slowly changing toward greater comprehensiveness, though clearly more work is needed. Greater systematic reporting of such data is likely to be beneficial for the generalizability and contextualization of neurocognitive function.
Reporting of demographic data in neuropsychological research appears to be slowly changing toward greater comprehensiveness, though clearly more work is needed. Greater systematic reporting of such data is likely to be beneficial for the generalizability and contextualization of neurocognitive function.
Survivors of single ventricle heart disease must cope with the physical, neurodevelopmental, and psychosocial sequelae of their cardiac disease, which may also affect academic achievement and social relationships. The purpose of this study was to qualitatively examine the experiences of school and social relationships in adolescents with single ventricle heart disease.

A descriptive phenomenological methodology was employed, utilising semi-structured interviews. Demographic and clinical characteristics were obtained via chart review.

Fourteen adolescents (aged 14 to 19 years) with single ventricle heart disease participated. Interviews ranged from 25 to 80 minutes in duration. Four themes emerged from the interviews, including "Don't assume" Pervasive ableism; "The elephant in the room" Uncertain future; "Everyone finds something to pick on" Bullying at school; "They know what I have been through" Social support. The overall essence generated from the data was "optimism despite profound uncertainty."

Adolescents with single ventricle heart disease identified physical limitations and school challenges in the face of an uncertain health-related future. Transferase inhibitor Despite physical and psychosocial limitations, most remained optimistic for the future and found activities that were congruent with their abilities. These experiences reflect "optimism despite profound uncertainty."
Adolescents with single ventricle heart disease identified physical limitations and school challenges in the face of an uncertain health-related future. Despite physical and psychosocial limitations, most remained optimistic for the future and found activities that were congruent with their abilities. These experiences reflect "optimism despite profound uncertainty."Although modern lines for dealing with missing data are well established from the 1970s, today there is a challenge when researchers encounter this problem in multilevel models. First, there is a variety of existing software to handle missing data based on multiple imputation (MI), currently pointed out by experts as the most promising strategy. Second, the two principal paradigms of MI are joint modelling (JM) and fully conditional specification (FCS), one more complication because they are not equally useful depending on the combination of multilevel model and the estimated parameters affected by missing data. Technical literature do not contribute to ease the number of decisions that researcher has to do. Given these inconveniences, the present paper has three objectives. (1) To present a thorough revision of the most recently developed software and functions about multiple imputation in multilevel models. (2) We derive a set of suggestions, recommendations, and guides for helping researchers to handle missing data. We list a number of key questions to consider when analyzing multilevel models. (3) Finally, based on the previous relevant questions, we present two detailed examples using the recommended R packages to be easy for the researcher applying multiple imputation in multilevel models.
The Zero Suicide framework is a system-wide approach to prevent suicides in health services. It has been implemented worldwide but has a poor evidence-base of effectiveness.

To evaluate the effectiveness of the Zero Suicide framework, implemented in a clinical suicide prevention pathway (SPP) by a large public mental health service in Australia, in reducing repeated suicide attempts after an index attempt.

A total of 604 persons with 737 suicide attempt presentations were identified between 1 July and 31 December 2017. Relative risk for a subsequent suicide attempt within various time periods was calculated using cross-sectional analysis. Subsequently, a 10-year suicide attempt history (2009-2018) for the cohort was used in time-to-recurrent-event analyses.

Placement on the SPP reduced risk for a repeated suicide attempt within 7 days (RR = 0.29; 95% CI 0.11-0.75), 14 days (RR = 0.38; 95% CI 0.18-0.78), 30 days (RR = 0.55; 95% CI 0.33-0.94) and 90 days (RR = 0.62; 95% CI 0.41-0.95). Time-to-recurrent event analysis showed that SPP placement extended time to re-presentation (HR = 0.65; 95% CI 0.57-0.67). A diagnosis of personality disorder (HR = 2.70; 95% CI 2.03-3.58), previous suicide attempt (HR = 1.78; 95% CI 1.46-2.17) and Indigenous status (HR = 1.46; 95% CI 0.98-2.25) increased the hazard for re-presentation, whereas older age decreased it (HR = 0.92; 95% CI 0.86-0.98). The effect of the SPP was similar across all groups, reducing the risk of re-presentation to about 65% of that seen in those not placed on the SPP.

This paper demonstrates a reduction in repeated suicide attempts after an index attempt and a longer time to a subsequent attempt for those receiving multilevel care based on the Zero Suicide framework.
This paper demonstrates a reduction in repeated suicide attempts after an index attempt and a longer time to a subsequent attempt for those receiving multilevel care based on the Zero Suicide framework.
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