Background: We investigated the effect of economic assets on mortality in patients with dementia in a national cohort of elderly individuals aged 65 or older.
Objective: To examine the effect of economic assets on mortality in patients with dementia.
Methods: Incidence of dementia and all-cause mortality was analyzed with incidence rate ratios (IRR) in three different categories of economic assets by means of Cox regression models.
Results: A total of 874,246 individuals aged 65+ were included. The risk of receiving a dementia diagnosis was highest in the low economic asset group (IRR 1.19). Patients with dementia had a higher mortality compared to those without a diagnosis (IRR 2.85). The mortality in the dementia group was lowest in the high economic asset group (IRR 3.31). However, the increase associated with dementia was lowest within the low economic assets group (IRR 2.57).
Conclusion: Mortality is increased with a dementia diagnosis and highest for the low economic asset group. However, the increase in mortality attributable to dementia was higher in the high economic assets group.
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http://dx.doi.org/10.3233/JAD-181107 | DOI Listing |
Eval Rev
January 2025
School of Finance, Yunnan University of Finance and Economics, Kunming, China.
Gold and stocks, which are conventionally regarded as a safe haven and risk assets, respectively, exhibit complex interrelationships, with significant implications for financial risk management. This paper builds on the sentiment categorization proposed by Liang et al. (2020) to distinguish between private and public sector sentiment.
View Article and Find Full Text PDFNutrients
January 2025
Food Systems Program, University of Vermont, Burlington, VT 05405, USA.
Background/objectives: Rural communities face a disproportionate burden in terms of diet-related health challenges and have been identified as a target for the U.S. Department of Agriculture's nutrition security initiatives.
View Article and Find Full Text PDFLife (Basel)
January 2025
Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China.
This review explores the evolving role of the tea green leafhopper, , in the tea industry, transitioning from a recognized pest to a significant enhancer of tea quality. Recent research highlights how its feeding behavior stimulates the production of desirable secondary metabolites, thereby improving the flavor profiles and market value of premium teas, particularly varieties like Taiwan's "Oriental Beauty". As consumer demand for unique and artisanal teas rises, the economic benefits associated with are becoming increasingly evident, prompting farmers to adopt sustainable agricultural practices that often involve reduced pesticide use.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Management, Hefei University of Technology, Hefei 230009, China; Data Science and Smart Social Governance Philosophy and Social Sciences Laboratory of the Ministry of Education, Hefei University of Technology, Hefei 230009, China; Anhui Provincial Key Laboratory of Philosophy and Social Sciences for Smart Management of Energy & Environment and Green & Low Carbon Development, Hefei University of Technology, Hefei 230009, China. Electronic address:
The information and communication technology (ICT) industry plays a vital role in high-quality development process but contributes significantly to carbon emissions due to its high energy consumption. Therefore, it is crucial to identify the factors influencing carbon emissions in the ICT industry to achieve carbon neutrality goal in China. Here, this study calculates the carbon emissions of ICT industry from 2000 to 2021 in China and analyzes factors influencing carbon emissions in the ICT industry by extending the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model.
View Article and Find Full Text PDFPLoS One
January 2025
Institute for Studies in County Development, Shandong University, Qingdao, Shandong, China.
This research mainly explored the effects of mergers and acquisitions (M&As) on the financial performance of Chinese listed companies and the determinants of post-M&A financial performance of mergers by incorporating adjustments for business cycle fluctuations. The research was divided into two parts. The first part applied data envelopment analysis (DEA) models for the calculation of the financial performance scores of mergers and non-mergers in six major sectors before and after M&As.
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