risk factors associated with a delayed diagnosis in Portugal

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Inventory of attitudes toward seeking mental health services: psychometric properties among adolescents

Mental health is an essential element of wellness; however, some populations are more vulnerable to mental health problems. Suicide is the second-highest cause of death in young people and help-seeking unwillingness is a significant obstacle to mental health interventions. Young people are especially reluctant to seek help and negative attitudes stand out as help-seeking barriers, highlighting the importance of evaluating these constructs. The Inventory of Attitudes toward Seeking Mental Health Services (IASMHS) is a measure that evaluates help-seeking attitudes; nevertheless, it lacks applicability in Portuguese youth. This study aims to explore the psychometric characteristics of the IASMHS in 750 Portuguese adolescents (52.3% female, Mage = 14.67), through exploratory and confirmatory factor analysis, and reliability and validity analyses. Results suggest that a three-factor structure was adequate, those factors being help-seeking propensity, indifference to stigma, and psychological openness. The IASMHS was shortened to 20 items and revealed satisfactory properties regarding internal consistency, convergent/discriminant validity, and temporal stability. These findings validate the IASMHS as an adequate tool in the assessment of young people’s help-seeking attitudes.info:eu-repo/semantics/publishedVersio

Assessing New York City's COVID-19 Vaccine Rollout Strategy: A Case for Risk-Informed Distribution.

From PubMed via Jisc Publications RouterHistory: accepted 2024-03-08Publication status: aheadofprintDaniel Reidpath - ORCID: 0000-0002-8796-0420 https://orcid.org/0000-0002-8796-0420This study reviews the impact of eligibility policies in the early rollout of the COVID-19 vaccine on coverage and probable outcomes, with a focus on New York City. We conducted a retrospective ecological study assessing age  65+, area-level income, vaccination coverage, and COVID-19 mortality rates, using linked Census Bureau data and New York City Health administrative data aggregated at the level of modified zip code tabulation areas (MODZCTA). The population for this study was all individuals in 177 MODZCTA in New York City. Population data were obtained from Census Bureau and New York City Health administrative data. The total mortality rate was examined through an ordinary least squares (OLS) regression model, using area-level wealth, the proportion of the population aged 65 and above, and the vaccination rate among this age group as predictors. Low-income areas with high proportions of older people demonstrated lower coverage rates (mean vaccination rate 52.8%; maximum coverage 67.9%) than wealthier areas (mean vaccination rate 74.6%; maximum coverage 99% in the wealthiest quintile) in the first 3 months of vaccine rollout and higher mortality over the year. Despite vaccine shortages, many younger people accessed vaccines ahead of schedule, particularly in high-income areas (mean coverage rate 60% among those 45-64 years in the wealthiest quintile). A vaccine program that prioritized those at greatest risk of COVID-19-associated morbidity and mortality would have prevented more deaths than the strategy that was implemented. When rolling out a new vaccine, policymakers must account for local contexts and conditions of high-risk population groups. If New York had focused limited vaccine supply on low-income areas with high proportions of residents 65 or older, overall mortality might have been lower. [Abstract copyright: © 2024. The Author(s).]pubpu

Intraspecific effects of short-term elevated atmospheric co2 in yield and nutritional profile of phaseolus vulgaris

Legumes are key contributors of essential nutrients for human health, namely iron (Fe) and zinc (Zn), but they are one of the most sensitive plant families to elevated concentrations of atmospheric CO2 (eCO2), a major threat to global agriculture and human nutrition. Therefore, unravelling the effects underlying eCO2 responses on biomass yield and nutritional value is of utmost importance to anticipate potential negative effects on human nutrition and expedite mitigation strategies.info:eu-repo/semantics/publishedVersio

Common bean (Phaseolus vulgaris L.) nutritional profile & soil microbiome community is affected by elevated atmospheric carbon dioxide (CO2)

info:eu-repo/semantics/publishedVersio

Plasmodium falciparum FIKK Kinase Members Target Distinct Components of the Erythrocyte Membrane

BACKGROUND: Modulation of infected host cells by intracellular pathogens is a prerequisite for successful establishment of infection. In the human malaria parasite Plasmodium falciparum, potential candidates for erythrocyte remodelling include the apicomplexan-specific FIKK kinase family (20 members), several of which have been demonstrated to be transported into the erythrocyte cytoplasm via Maurer's clefts. METHODOLOGY: In the current work, we have knocked out two members of this gene family (Pf fikk7.1 and Pf fikk12), whose products are localized at the inner face of the erythrocyte membrane. Both mutant parasite lines were viable and erythrocytes infected with these parasites showed no detectable alteration in their ability to adhere in vitro to endothelial receptors such as chondroitin sulfate A and CD36. However, we observed sizeable decreases in the rigidity of infected erythrocytes in both knockout lines. Mutant parasites were further analyzed using a phospho-proteomic approach, which revealed distinct phosphorylation profiles in ghost preparations of infected erythrocytes. Knockout parasites showed a significant reduction in the level of phosphorylation of a protein of approximately 80 kDa for FIKK12-KO in trophozoite stage and a large protein of about 300 kDa for FIKK7.1-KO in schizont stage. CONCLUSIONS: Our results suggest that FIKK members phosphorylate different membrane skeleton proteins of the infected erythrocyte in a stage-specific manner, inducing alterations in the mechanical properties of the parasite-infected red blood cell. This suggests that these host cell modifications may contribute to the parasites' survival in the circulation of the human host

Module identification in bipartite and directed networks

Modularity is one of the most prominent properties of real-world complex networks. Here, we address the issue of module identification in two important classes of networks: bipartite networks and directed unipartite networks. Nodes in bipartite networks are divided into two non-overlapping sets, and the links must have one end node from each set. Directed unipartite networks only have one type of nodes, but links have an origin and an end. We show that directed unipartite networks can be conviniently represented as bipartite networks for module identification purposes. We report a novel approach especially suited for module detection in bipartite networks, and define a set of random networks that enable us to validate the new approach

a space-and-time approach

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Modeling fitness variable responses to training In prepubescent children

The aim of this study was to determine strength and oxygen uptake (VO2max) performances according to different training program intervention design with 8-weeks duration in prepubescent children through a multiple linear regression models. Two hundred and forty-five healthy prepubescent children (aged 10.9 ± 0.5 years) were randomly assigned to a specific training program (strength training only - S; aerobic training only - A; intra-session aerobic and strength training - AS; intra-session strength and aerobic training - SA; or concurrent training performed in different sessions - CT) or a control group (no training regimen - C). It was possible to develop indirect predictive models for each training method, by including each variable pre-training, body fat percentage and body mass index. The models provided explained 82% of variance in the VO2max, 98% in the 1kg ball-throw, 96% in the 3kg ball-throw, 92% in the counter-movement jump, 93% in the standing long jump and 98% in the 20m sprint performances. This novel approach to training evaluation and control aims to provide a tool to allow professionals to calculate changes with a high confidence level (CI 95%), to control gains and to choose the best training methodology to apply according to the defined purposes. The results of this study could be a great support to teachers, coaches and professionals providing important tools to improve the efficacy and individualization of training