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The CAPE (Compassion, Assertive Action, Pragmatism, and Evidence) vulnerability index - Second Edition: Putting mental health into foreign policy to address globalization, conflict, climate change, and natural disasters.

The CAPE Vulnerability Index serves as a worldwide foreign policy indicator that implies which countries should get assistance first. It provides an evidence-based, well-structured, and well-reasoned strategy for employing aid in bilateral arrangements with mental health as a basis. The second edition of the CAPE VI has been developed to identify which nations should get priority foreign aid. We considered various indices or measures at the country level reflecting the average national health status or factors influencing public health. To make our choice, we used 26 internationally accessible and verified indicators. For the study, we have scored the countries according to these indices and prioritized those with the worst scores. The CAPE Vulnerability Index is based on the number of times a country is ranked among the low-scoring nations. It is based on nine parameters and is an independent measure even though there may be a correlation with similar indices such as life expectancy, disability-adjusted life years(DALYs), physician numbers, and gross domestic product(GDP). We concluded that low-scoring countries were fragile or failed states, such as nations where governments lack complete oversight or power, are often oppressive and corrupt, have allegations of violations of human rights, or are marked by political turmoil in different forms, drawbacks from severe environmental damage, severe impoverishment, inequalities, cultural and racial divisions, cannot supply fundamental amenities, are victims of terrorism, and so on. To address these essential problems impacting fragile nations, administrations, aid donors, local organizations, mental health specialists, and associations should collaborate.

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Frequency of anthropometric implausible values estimated from different methodologies: a systematic review and meta-analysis.

Poor anthropometric data quality affect the prevalence of malnutrition and could harm public policy planning. This systematic review and meta-analysis was designed to identify different methods to evaluate and clean anthropometric data, and to calculate the frequency of implausible values for weight and height obtained from these methodologies. Studies about anthropometric data quality and/or anthropometric data cleaning were searched for in the MEDLINE, LILACS, SciELO, Embase, Scopus, Web of Science, and Google Scholar databases in October 2020 and updated in January 2023. In addition, references of included studies were searched for the identification of potentially eligible studies. Paired researchers selected studies, extracted data, and critically appraised the selected publications. Meta-analysis of the frequency of implausible values and 95% confidence interval (CI) was estimated. Heterogeneity (I2) and publication bias were examined by meta-regression and funnel plot, respectively. In the qualitative synthesis, 123 reports from 104 studies were included, and in the quantitative synthesis, 23 studies of weight and 14 studies of height were included. The study reports were published between 1980 and 2022. The frequency of implausible values for weight was 0.55% (95%CI, 0.29-0.91) and for height was 1.20% (95%CI, 0.44-2.33). Heterogeneity was not affected by the methodological quality score of the studies and publication bias was discarded. Height had twice the frequency of implausible values compared with weight. Using a set of indicators of quality to evaluate anthropometric data is better than using indicators singly. PROSPERO registration no. CRD42020208977.

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Is self-reported 7-day point prevalence abstinence an useful measure for smoking cessation effectiveness among individuals with mental disorders?

Smoking rates among individuals with mental disorders are higher compared to general population. We aimed to investigate the effectiveness of a smoking cessation treatment among individuals with and without mental disorders. Self-report 7-day point prevalence was used to assess abstinence status among ‘intention to treat’ (n = 1,213) and ‘completers-only’ (n = 578) samples. Participants were distributed in (1) ND-only; (2) ND and other substance use disorder (ND-SUD); (3) ND associated with mental disorder but no other SUD (ND-MD); and (4) co-morbid ND, SUD and MD (ND-SUMD). The treatment program was composed by six weeks of group Cognitive Behavioral Therapy (CBT) and medical consultations. Multivariate logistic regression models were applied. Rates of abstinence between ND-only and both ND-MD and ND-SUMD differed in the ‘intention-to-treat’ sample, with the former group showing the best rate (62.5%, 48% and 45.4% respectively). ND-SUD had the second-best rate of abstinence (56.1%). Differences between groups were not observed among ‘completers-only’. Self-report 7-day point prevalence abstinence is economical and reliable to be used in low to middle-income countries. In this study, it showed that the 6-week smoking cessation treatment had a positive effect among completers, which supports the importance of investing in treatment to decrease smoking prevalence in this population.

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The role of forest fragmentation in yellow fever virus dispersal

The intense process of deforestation in tropical forests poses serious challenges for the survival of biodiversity, as well as for the human species itself. This scenario is supported by the increase in the incidence of epidemics of zoonotic origin observed over the last few decades. In the specific case of sylvatic yellow fever (YF), it has already been shown that an increase in the transmission risk of the causative agent (yellow fever virus - YFV) is associated with areas with a high degree of forest fragmentation, which can facilitate the spread of the virus. In this study we tested the hypothesis that areas with more fragmented landscapes and a higher edge density (ED) but a high degree of connectivity between forest patches favor YFV spread. To this end, we used YF epizootics in non-human primates (NHPs) in the state of São Paulo to build direct networks, and used a multi-selection approach to analyze which landscape features could facilitate YFV spread. Our results showed that municipalities with the potential to spread the virus exhibited a higher amount of forest edge. Additionally, the models with greater empirical support showed a strong association between forest edge density and the risk of occurrence of epizootic diseases, as well as the need for a minimum threshold of native vegetation cover to restrict their transmission. These findings corroborate our hypothesis that more fragmented landscapes with a higher degree of connectivity favor the spread of YFV, while landscapes with fewer connections tend to act as dead zones for the circulation of the virus.

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A first epidemiological approach to migraine in the Paraguayan general population: frequency and associated factors

La migraña es uno de los trastornos neurológicos más frecuentes, con una prevalencia y una morbilidad elevadas. Está asociada a varios factores de riesgo, tanto biológicos como psicológicos, desencadenantes y comorbilidades. Este fue un estudio descriptivo, de asociación cruzada, no probabilístico, de casos consecutivos. Los participantes fueron reclutados a través de una encuesta en línea en octubre de 2022. Se midieron variables demográficas, datos del estado de salud y hábitos. Se realizó tamizaje de migraña a través del cuestionario ALCOI-95 y tamizaje de adicción a Internet a través de la subescala de adicción a Internet del Cuestionario MULTICAGE CAD-4. Se encuestó a 846 sujetos, de los cuales el 70,9 % eran mujeres y la media de edad fue de 28,62 años. El 14,5 % cumplía con criterios diagnósticos de migraña (5,2 % migraña con aura y 9,3 % migraña sin aura). El 63,8 % cumplía con criterios de tamizaje para adicción a Internet. Se encontró asociación entre el sexo femenino y migraña (p<0,001). En cuanto al estado de salud, el 21,39 % tenía diagnóstico de ansiedad, el 8,98 % de depresión, el 7,92 % de hipertensión arterial y el 2,36 % tenía diabetes mellitus. Se encontró asociación entre presentar depresión o ansiedad y migraña (p<0,001). Podemos concluir que la frecuencia de migraña es de más del 14 % en población general paraguaya, afecta principalmente a personas de alrededor de 30 años de edad y está asociada significativamente al hecho de ser mujer y de tener un trastorno mental.

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