The Mediating Role of Social Support on Unmet Healthcare Needs in Vietnamese Older People During the COVID-19.

This study examined various factors, including social support as a mediating one, influencing subjective unmet needs (SUN) in Vietnamese older people during the COVID-19 pandemic. Using logistic regression models with a national survey on older persons, we identified determinants of SUN, and then further explored how social support moderated the association between experiencing SUN and chronic diseases. We found that about 25% of Vietnamese older persons experienced SUN during the pandemic, in which more advanced age, living alone, lack of healthcare insurance and having chronic diseases were risk factors, while higher education, better wealth, and stronger social support played as protective factors.

The Effects of Spousal Caregiving on Middle-Age and Older Caregivers' Health and Well-Being: Evidence From Vietnam.

Population aging is escalating globally, intensifying the demand for long-term care (LTC), primarily met by informal caregivers, notably spouses. Evidence from developed countries suggests potential adverse effects on caregivers' well-being. Yet, research on this topic is scarce in developing nations.

A framework for controllable Pareto front learning with completed scalarization functions and its applications.

Pareto Front Learning (PFL) was recently introduced as an efficient method for approximating the entire Pareto front, the set of all optimal solutions to a Multi-Objective Optimization (MOO) problem. In the previous work, the mapping between a preference vector and a Pareto optimal solution is still ambiguous, rendering its results. This study demonstrates the convergence and completion aspects of solving MOO with pseudoconvex scalarization functions and combines them into Hypernetwork in order to offer a comprehensive framework for PFL, called Controllable Pareto Front Learning.

Wealth inequalities in physical and cognitive impairments across Japan and Europe: the role of health expenditure and infrastructure.

Although prior research has provided insights into the association between country-level factors and health inequalities, key research gaps remain. First, most previous studies examine subjective rather than objective health measures. Second, the wealth dimension in health inequalities is understudied.

VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations.

Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and localization of chest abnormalities. In this work, we describe a dataset of more than 100,000 chest X-ray scans that were retrospectively collected from two major hospitals in Vietnam.