33 research outputs found
Valutazione critica di uno studio caso-controllo sugli eventi stressanti, la depressione e la demoralizzazione quali fattori di rischio per la sindrome coronarica acuta.
No full textLa ricerca presenta i risultati dell’analisi secondo la metodologia Evidence-Based Nursing di uno studio caso-controllo sul ruolo degli eventi stressanti e della depressione clinica e sub-clinica nell’insorgenza di una sindrome coronarica acuta (SCA). La valutazione critica dello studio è stata realizzata mediante una griglia di lettura del Centro Studi EBN di Bologna ed ha permesso di individuare la sostanziale correttezza dello studio condotto e delle conclusioni a cui è pervenuto, ma anche di evidenziare i limiti che uno studio caso-controllo può avere per individuare i fattori di rischio di una condizione morbosa
Stressful life events, depression and demoralization as risk factors for acute coronary heart disease
No full textBackground: While the effect of psychological stress and depression on the course of heart disease is commonly recognized, the relationship between recent life events, major depression, depressive symptomatology and the onset of acute coronary heart disease (CHD) has been less considered. The aim of this study was to investigate the presence of stressful life events, major and minor depression, recurrent depression and demoralization in the year preceding the occurrence of a first acute myocardial infarction (AMI) and/or a first episode of instable angina and to compare stressful life events, also related with mood disorders, in patients and healthy controls. Methods: 97 consecutive patients with a first episode of CHD (91 with AMI and 6 with instable angina) and 97 healthy subjects matched for sociodemographic variables were included. All patients were interviewed with Paykel’s Interview for Recent Life Events, a semistructured interview for determining the psychiatric diagnosis of mood disorders (DSM-IV), a semistructured interview for demoralization (DCPR). Patients were assessed while on remission from the acute phase. The time period considered was the year preceding the first episode of CHD and the year before the interview for controls. Results: Patients with acute CHD reported significantly more life events than control subjects (p < 0.001). All categories of events (except entrance events) were significantly more frequent. 30% of patients were identified as suffering from a major depressive disorder; 9% of patients were suffering from minor depression, 20% from demoralization. Even though there was an overlap between major depression and demoralization (12%), 17% of patients with major depression were not classified as demoralized and 7% of patients with demoralization did not satisfy the criteria for major depression. Independently of mood disorders, patients had a higher (p < 0.001) mean number of life events than controls. With regard to life events, the same significant difference (p < 0.001) compared to controls applied to patients with and without mood disorders. Conclusions: Our findings emphasize, by means of reliable methodology, the relationship between life events and AMI. These data, together with those regarding traditional cardiac risk factors, may have clinical and prognostic implications to be verified in longitudinal studies
Eventi stressanti e disturbi depressivi quali fattori di rischio per sindrome coronarica acuta
No full textAuthor Correction: Comparison of weather station and climate reanalysis data for modelling temperature-related mortality (Scientific Reports, (2022), 12, 1, (5178), 10.1038/s41598-022-09049-4)
No full textThe original version of this Article contained an error in Affiliation 25, which was incorrectly given as ‘Faculty of Medicine ArqFuturo INSPER, University of São Paulo, São Paulo, Brazil’. The correct affiliation is listed below. Faculty of Medicine, University of São Paulo, São Paulo, Brazil The original Article has been corrected. © The Author(s) 2022
Health and Economic Benefits of Complying With the World Health Organization Air Quality Guidelines for Particulate Matter in Nine Major Latin American Cities
No full textThis study aims to estimate the short-term preventable mortality and associated economic costs of complying with the World Health Organization (WHO) air quality guidelines (AQGs) limit values for PM10 and PM2.5 in nine major Latin American cities.The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. AT was supported by the Japanese Society for the Promotion of Science (JSPS) Invitational Fellowships for Research in Japan (grant S22077).Peer reviewe
Author Correction: Rapid increase in the risk of heat-related mortality
No full textHeat-related mortality has been identified as one of the key climate extremes posing a risk to human health. Current research focuses largely on how heat mortality increases with mean global temperature rise, but it is unclear how much climate change will increase the frequency and severity of extreme summer seasons with high impact on human health. In this probabilistic analysis, we combined empirical heat-mortality relationships for 748 locations from 47 countries with climate model large ensemble data to identify probable past and future highly impactful summer seasons. Across most locations, heat mortality counts of a 1-in-100 year season in the climate of 2000 would be expected once every ten to twenty years in the climate of 2020. These return periods are projected to further shorten under warming levels of 1.5 °C and 2 °C, where heat-mortality extremes of the past climate will eventually become commonplace if no adaptation occurs. Our findings highlight the urgent need for strong mitigation and adaptation to reduce impacts on human lives
[[alternative]]Author Correction: Comparison of weather station and climate reanalysis data for modelling temperature-related mortality (Scientific Reports, (2022), 12, 1, (5178), 10.1038/s41598-022-09049-4)
No full text[[abstract]]The original version of this Article contained an error in Affiliation 25, which was incorrectly given as ‘Faculty of Medicine ArqFuturo INSPER, University of São Paulo, São Paulo, Brazil’. The correct affiliation is listed below. Faculty of Medicine, University of São Paulo, São Paulo, Brazil The original Article has been corrected
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality
No full textEpidemiological analyses of health risks associated with non-optimal temperature are traditionally based on ground observations from weather stations that offer limited spatial and temporal coverage. Climate reanalysis represents an alternative option that provide complete spatio-temporal exposure coverage, and yet are to be systematically explored for their suitability in assessing temperature-related health risks at a global scale. Here we provide the first comprehensive analysis over multiple regions to assess the suitability of the most recent generation of reanalysis datasets for health impact assessments and evaluate their comparative performance against traditional station-based data. Our findings show that reanalysis temperature from the last ERA5 products generally compare well to station observations, with similar non-optimal temperature-related risk estimates. However, the analysis offers some indication of lower performance in tropical regions, with a likely underestimation of heat-related excess mortality. Reanalysis data represent a valid alternative source of exposure variables in epidemiological analyses of temperature-related risk. © 2022, The Author(s).The original version of this Article contained an error in Affiliation 25, which was incorrectly given as ‘Faculty of Medicine ArqFuturo INSPER, University of São Paulo, São Paulo, Brazil’. The correct affiliation is listed below. Faculty of Medicine, University of São Paulo, São Paulo, Brazil The original Article has been corrected. © The Author(s) 2022.The study was primarily supported by Grants from the European Commission’s Joint Research Centre Seville (Research Contract ID: JRC/SVQ/2020/MVP/1654), Medical Research Council-UK (Grant ID: MR/R013349/1), Natural Environment Research Council UK (Grant ID: NE/R009384/1), European Union’s Horizon 2020 Project Exhaustion (Grant ID: 820655). The following individual Grants also supported this work: J.K and A.U were supported by the Czech Science Foundation, project 20-28560S. A.T was supported by MCIN/AEI/10.13039/501100011033, Grant CEX2018-000794-S. V.H was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant agreement No 101032087. This work was generated using Copernicus Climate Change Service (C3S) information [1985–2019]
Comparison of weather station and climate reanalysis data for modelling temperature-related mortality
No full text© 2022, The Author(s).Epidemiological analyses of health risks associated with non-optimal temperature are traditionally based on ground observations from weather stations that offer limited spatial and temporal coverage. Climate reanalysis represents an alternative option that provide complete spatio-temporal exposure coverage, and yet are to be systematically explored for their suitability in assessing temperature-related health risks at a global scale. Here we provide the first comprehensive analysis over multiple regions to assess the suitability of the most recent generation of reanalysis datasets for health impact assessments and evaluate their comparative performance against traditional station-based data. Our findings show that reanalysis temperature from the last ERA5 products generally compare well to station observations, with similar non-optimal temperature-related risk estimates. However, the analysis offers some indication of lower performance in tropical regions, with a likely underestimation of heat-related excess mortality. Reanalysis data represent a valid alternative source of exposure variables in epidemiological analyses of temperature-related risk.Y
Fluctuating temperature modifies heat-mortality association around the globe
No full textStudies have investigated the effects of heat and temperature variability (TV) on mortality. However, few assessed whether TV modifies the heat-mortality association. Data on daily temperature and mortality in the warm season were collected from 717 locations across 36 countries. TV was calculated as the standard deviation of the average of the same and previous days’ minimum and maximum temperatures. We used location-specific quasi-Poisson regression models with an interaction term between the cross-basis term for mean temperature and quartiles of TV to obtain heat-mortality associations under each quartile of TV, and then pooled estimates at the country, regional, and global levels. Results show the increased risk in heat-related mortality with increments in TV, accounting for 0.70% (95% confidence interval [CI]: −0.33 to 1.69), 1.34% (95% CI: −0.14 to 2.73), 1.99% (95% CI: 0.29–3.57), and 2.73% (95% CI: 0.76–4.50) of total deaths for Q1–Q4 (first quartile–fourth quartile) of TV. The modification effects of TV varied geographically. Central Europe had the highest attributable fractions (AFs), corresponding to 7.68% (95% CI: 5.25–9.89) of total deaths for Q4 of TV, while the lowest AFs were observed in North America, with the values for Q4 of 1.74% (95% CI: −0.09 to 3.39). TV had a significant modification effect on the heat-mortality association, causing a higher heat-related mortality burden with increments of TV. Implementing targeted strategies against heat exposure and fluctuant temperatures simultaneously would benefit public health. © 2022 The Author(s
