Publications by authors named "D V Petrova"
Green algae of the genus have attracted the attention of scientists due to their rich biochemical composition and potential for application in phytomedicine. The present study investigated the influence of light on the bioactive capacity of extracts from the Bulgarian strain of the green microalgae sp. BGV.
View Article and Find Full Text PDFObjective: People's beliefs about cancer can affect the actions they take to prevent and detect the disease. We investigated socio-economic inequalities in beliefs about cancer and its causes in the general population.
Methods: We analyzed data from the representative probabilistic Spanish Oncobarometer survey (N = 4769, 2020) and the non-probabilistic weight-corrected Spanish Cancer Awareness Survey (N = 1029, 2022).
Background: Cutaneous malignant melanoma (CMM) represents a global public health problem. Epidemiological studies about CMM trends tend to focus on single indicators or lack information about tumor characteristics that can help gain a more thorough understanding of CMM epidemiology.
Objectives: To fill this gap, we studied CMM trends in incidence, mortality, and survival over three decades and considering sex, age, and tumor characteristics.
Article Synopsis
- - The study examines the potential role of lipids as biomarkers for diagnosing anxiety and depression, which are major contributors to mental health issues and disability, despite the lack of existing biochemical tests for these conditions.
- - Researchers analyzed blood plasma lipid levels in a group of 604 urban individuals and compared them to 32 patients with clinical depression, finding significant correlations between lipid levels and the severity of depressive symptoms.
- - The findings suggest that lipid alterations seen in clinically depressed patients can also be observed in the general population, leading to the creation of a predictive model with high accuracy for identifying individuals with severe depressive symptoms.
More than 110,000 Europeans died as a result of the record-breaking temperatures of 2022 and 2023. A new generation of impact-based early warning systems, using epidemiological models to transform weather forecasts into health forecasts for targeted population subgroups, is an essential adaptation strategy to increase resilience against climate change. Here, we assessed the skill of an operational continental heat-cold-health forecasting system.
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