Objectives: Widowhood has been shown to decrease surviving spouses' economic well-being. However, previous research has focused mostly on income-related outcomes, and has been less attentive to the importance of wealth, the processual nature of spousal death, and cross-national variation. In this study, we assessed how total, housing, and nonhousing wealth changes over the process of widowhood across 11 European countries.
Methods: Individual fixed-effects regressions and longitudinal data from the Survey of Health, Ageing and Retirement in Europe were used to estimate how household net total wealth, housing wealth, and nonhousing wealth changed 3 years prior and 6 or more years after spousal death relative to 4 or more years prior to widowhood in 11 European countries.
Results: In all countries, household net wealth stayed relatively constant across the widowhood process, except for Austria, the Czech Republic, and Poland, where wealth declines were observed especially in the years following death. However, we found declines in housing wealth over the widowhood process, including prior to spousal death, across most countries in our sample, particularly in Austria, France, Denmark, the Czech Republic, and Poland. Declines in housing wealth were generally not reflected by changes in nonhousing wealth but coincided with leaving homeownership and downsizing.
Discussion: Widowhood is associated with lower wealth, especially housing wealth, even in the years before spousal loss. Future research should focus on adjudicating the mechanisms behind country differences and exploring the implications of lost wealth following widowhood for surviving spouses' well-being and intergenerational transfers.
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http://dx.doi.org/10.1093/geronb/gbae116 | DOI Listing |
Front Public Health
January 2025
School of Mathematics, Statistics, and Computer Science, University of Kwazulu-Natal, Pietermaritzburg, South Africa.
Background: Malaria and anemia are significant public health concerns that contribute to child mortality in African. Despite global efforts to control the two diseases, their prevalence in high-risk regions like Nigeria remains high. Understanding socioeconomic, demographic, and geographical factors associated with malaria and anemia, is critical for effective intervention strategies.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Background: Non-communicable diseases (NCDs) are governed by a cluster of unhealthy behaviours and their determinants, like tobacco and alcohol, unhealthy diet, lack of physical activity, overweight and obesity, pollution (air, water, and soil), and stress. Regulation of these unhealthy behaviours plays a crucial role in blood pressure control among individuals on hypertensive treatment, especially those suffering from uncontrolled hypertension. Hence, the present study aims at identifying the unhealthy behaviours associated with uncontrolled hypertension.
View Article and Find Full Text PDFR Soc Open Sci
January 2025
School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia.
During the COVID-19 pandemic, both government-mandated lockdowns and discretionary changes in behaviour combined to produce dramatic and abrupt changes to human mobility patterns. To understand the socioeconomic determinants of intervention compliance and discretionary behavioural responses to epidemic threats, we investigate whether changes in human mobility showed a systematic variation by socioeconomic status during two distinct periods of the COVID-19 pandemic in Australia. We analyse mobility data from two major urban centres and compare the trends during mandated stay-at-home policies and after the full relaxation of nonpharmaceutical interventions, which coincided with a large surge of COVID-19 cases.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
School of Information Science and Technology, Fudan University, Shanghai, 200433, China; Key Laboratory of Medical Imaging, Computing and Computer Assisted Intervention, Shanghai, 200433, China. Electronic address:
Background And Objective: Utilizing AI to mine tumor microenvironment information in whole slide images (WSIs) for glioma molecular subtype and prognosis prediction is significant for treatment. Existing weakly-supervised learning frameworks based on multi-instance learning have potential in WSIs analysis, but the large number of patches from WSIs challenges the effective extraction of key local patch and neighboring patch microenvironment info. Therefore, this paper aims to develop an automatic neural network that effectively extracts tumor microenvironment information from WSIs to predict molecular typing and prognosis of glioma.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Sociology, The Ohio State University, Columbus, Ohio, United States of America.
Research over the past two decades has noted significant racial/ethnic wealth inequalities-inequalities with important implications for life chances and institutional access. Home ownership is as a foundational element of such inequality with broad consequences for exposure to crime, quality of public safety services, and access to healthcare, education, and employment. Building on earlier scholarship that has tended to focus on specific forms of mortgages, we draw in this article on over 1.
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