Background: In the context of fiscal austerity in many European welfare states, policy innovation often takes the form of 'social investment', a contested set of policies aimed at strengthening labour markets. Social investment policies include employment subsidies, skills training and job-finding services, early childhood education and childcare and parental leave. Given that such policies can influence gender equity in the labour market, we analysed the possible effects of such policies on gender health equity.
Methods: Using age-stratified and sex-stratified data from the Global Burden of Disease Study on cardiovascular disease (CVD) morbidity and mortality between 2005 and 2010, we estimated linear regression models of policy indicators on employment supports, childcare and parental leave with country fixed effects.
Findings: We found mixed effects of social investment for men versus women. Whereas government spending on early childhood education and childcare was associated with lower CVD mortality rates for both men and women equally, government spending on paid parental leave was more strongly associated with lower CVD mortality rates for women. Additionally, government spending on public employment services was associated with lower CVD mortality rates for men but was not significant for women, while government spending on employment training was associated with lower CVD mortality rates for women but was not significant for men.
Conclusions: Social investment policies were negatively associated with CVD mortality, but the ameliorative effects of specific policies were gendered. We discuss the implications of these results for the European social investment policy turn and for future research on gender health equity.
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http://dx.doi.org/10.1136/jech-2018-211283 | DOI Listing |
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
Background: Oxidative stress has an important role in type 2 diabetes (T2D). Oxidative balance score (OBS) is an emerging assessment of dietary and lifestyle oxidative balance. We aimed to explore the association of OBS with cardiovascular disease (CVD) and all-cause and CVD mortality in the T2D population through NHANES 1999-2018.
View Article and Find Full Text PDFNoncoding RNA Res
April 2025
Bashkir State Medical University, Ufa, Republic of Bashkortostan, 3 Lenin Street, 450008, Russia.
Cardiovascular diseases (CVD) are the foremost cause of mortality worldwide, with recent advances in immunology underscoring the critical roles of immune cells in their onset and progression. MicroRNAs (miRNAs), particularly those derived from the immune system, have emerged as vital regulators of cellular functions within the cardiovascular landscape. This review focuses on "immuno-miRs," a class of miRNAs that are highly expressed in immune cells, including T cells, B cells, NK cells, neutrophils, and monocytes/macrophages, and their significant role in controlling immune signaling pathways.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Department of VIP Region, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Background: It is necessary to find latent indicators to predict the survival of alcohol-associated liver disease (ALD) patients. Leukocyte telomere length (LTL) was regarded as an indicator of prognosis in several diseases. However, the relationships between LTL and survival as well as cause-specific mortality in ALD patients were still unknown.
View Article and Find Full Text PDFFront Immunol
December 2024
Anhui Provincial Key Laboratory for Conservation and Exploitation of Biological Resources, College of Life Science, Anhui Normal University, Wuhu, Anhui, China.
Cardiovascular diseases (CVDs) remain a significant global health challenge, leading to substantial morbidity and mortality. Despite recent advancements in CVD management, pharmaceutical treatments often suffer from poor pharmacokinetics and high toxicity. With the rapid progress of modern molecular biology and immunology, however, single-chain fragment variable (scFv) molecule engineering has emerged as a promising theranostic tool to offer specificity and versatility in targeting CVD-related antigens.
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