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1.
Front Public Health ; 12: 1382505, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39015393

RESUMO

Background: The eco-climatic crisis has been defined by the World Health Organization as the "single biggest health threat facing humanity," influencing both the emergence of zoonoses and the spread of vector-borne and water-borne diseases. The aim of this survey was to explore knowledge, eco-anxiety and attitudes toward the ecological and climate crisis among young Italian doctors and medical students. Methods: A cross-sectional, multicenter survey was conducted from November 2022 to June 2023, by administering an anonymous questionnaire to Italian doctors and students of medicine. Endpoint of the study was a Knowledge, Attitudes and Practices (KAP) score on ecological and climate crisis (0-20 points). Association between variables and KAP score was assessed by Kruskal-Wallis' or Spearman's test, as appropriate, and significant variables were included into ordinal regression model and reported as adjusted odds ratio (aOR) with their 95% confidence intervals (CI). Results: Both KAP and eco-anxiety scores showed acceptable levels of consistency with Cronbach's alpha. A total of 605 medical doctors and students living in 19 Italian regions were included in the study. Median age [Q1-Q3] was 27.6 [24.1-31.3] and females were 352 (58.2%). Despite showing good attitudes toward climate action, knowledge gap were found, with 42.5% (n = 257) of the respondents not knowing the temperature limits set by the Paris Agreements and 45.5% (n = 275) believing that climate change is caused by sunspots. Fears suggestive for eco-anxiety were common. At multivariable ordinal regression, high levels of eco-anxiety (aOR 1.29, p = 0.001) and low trust in government action (aOR 1.96, p = 0.003) were associated with a higher KAP score. Only one Italian medical school offered an educational module on climate change. Conclusion: Young Italian doctors and medical students are concerned about the climate crisis but show poor knowledge of these topics. The Italian academic system should urgently respond to this need.


Assuntos
Mudança Climática , Conhecimentos, Atitudes e Prática em Saúde , Médicos , Estudantes de Medicina , Humanos , Itália , Feminino , Masculino , Estudos Transversais , Estudantes de Medicina/estatística & dados numéricos , Estudantes de Medicina/psicologia , Inquéritos e Questionários , Adulto , Médicos/estatística & dados numéricos , Médicos/psicologia , Doenças Transmissíveis/epidemiologia , Adulto Jovem
2.
Vasc Health Risk Manag ; 18: 81-87, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35250272

RESUMO

INTRODUCTION: MEVEC 2.1 is a novel 3D mapping software dedicated to the evaluation of the venous vascular three of the lower limbs. It has already proven as a sensitive, specific, and accurate technique able to provide better morphologic and functional details of the lower limb venous system than standard reports. The aim of this study was to identify specific morpho-functional graphic phenotypes in lower limb venous diseases by means of MEVEC 2.1. MATERIALS: Three-hundred eleven consecutive outpatients underwent lower limb Doppler ultrasound examination by means of the MEVEC 2.1 technique. All of them showed at least one among these pathological findings: venous insufficiency, thrombosis, incompressibility, and/or incompetent. RESULTS: We tried to evaluate possible clusters among the different morpho-functional findings from the venous maps in order to outline reproducible phenotypes. Correlation indexes allowed us to provide a classification in morpho-functional phenotypes in order to standardize the data from examinations performed by different physicians. Twelve phenotypes had been proposed. CONCLUSION: The study showed that the MEVEC 2.1 technique provides a standardized classification that allows physicians identifying phenotypes yielded by 3D mapping of the veins of the lower limbs.


Assuntos
Veias , Insuficiência Venosa , Humanos , Extremidade Inferior/irrigação sanguínea , Fenótipo , Ultrassonografia Doppler , Veias/diagnóstico por imagem , Insuficiência Venosa/diagnóstico por imagem
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