This article analyses the complex factors contributing to rising medical expenses, focusing on the senior citizen demographic in Malaysia. With the global aging population, notably in lower and middle-income countries, the study highlights the escalating medical and health insurance costs, driven by age, income source, modern healthcare, and geographical residence. The research draws on an extensive literature review, demographic analysis, and quantitative methods to examine these determinants. It critically analyzes Malaysia’s healthcare system, which operates on a dual-tier model, and the financial burden placed on senior citizens. The findings indicate that age, source of income, and geographical residence significantly influence medical expenses, whereas modern healthcare’s impact is not statistically significant. The study calls for government intervention, insurance industry adjustments, and private sector support to mitigate the financial strain on senior citizens. Recommendations include tax relief adjustments, National Health Insurance Scheme implementation, and employment sustainability for seniors. This research provides some recommendations to policymaking, the insurance industry, and academia by providing insights into managing the healthcare needs of an aging population sustainably.

This paper aims to explore the impact of V-Girls APP on the improvement of female college students' Health literacy and its mechanism. Using a questionnaire survey method, the survey subjects were female students from a certain university. The results showed that using the V-Girls app can significantly improve the health knowledge level, health behavior habits, and mental health status of female college students. Further analysis reveals that the impact mechanisms of V-Girls APP mainly include cognitive mechanisms, social support mechanisms, and behavioral guidance mechanisms. The results of this study provide new ways and ideas for improving female college students' Health literacy.

The study aims to identify the effectiveness of social responsibility programs. More specifically, it seeks to identify the extent to which health institutions use social responsibility programs and to clarify the extent to which social responsibility programs succeed in achieving the goals of health institutions. The study sought to provide answers to the following questions: To what extent do health institutions use social responsibility programs? To what extent have social responsibility programs succeeded in achieving the goals of health institutions? The study used the descriptive analytical method, relying on the survey method. The study concluded with many results, the most important of which were the following: the effectiveness of social responsibility programs in marketing health services at the educational and age levels and the role of social media in marketing health services. The study recommended the necessity of providing an awareness dimension to marketing health services, with increasing training opportunities for workers in public relations departments in hospitals and health institutions to market health services, in addition to the necessity of conducting relevant research, studies, and surveys. Identify the activities that will help those working in the public relations department in health facilities with regard to identifying basic and influential needs and activities in directing successful health campaigns.

Objective: This study assessed the prevalence of psychological disorders and their correlation with health-promoting lifestyles among Chinese college students. Method: We used the Chinese version of the Depression Anxiety Stress Scales-21 (DASS-21) and the Health Promoting Lifestyle Profile II (HPLP-II) questionnaires. Gender and major differences were analyzed with the chi-square test, and multiple logistic regression explored the relationship between HPLP and psychological disorders. Results: Among 17,636 students, low prevalence rates were observed for stress (4.0%), depression (7.2%), and anxiety (15.4%). Females and students in humanities and social sciences reported higher rates of multiple psychological disorders. Higher HPLP scores were inversely correlated with depression (OR = 0.479, 95% CI: 0.376–0.609), anxiety (OR = 0.480, 95% CI: 0.408–0.565), and stress (OR = 0.821, 95% CI: 0.636–1.060) after adjusting for confounders. Conclusions: The study found low overall prevalence of psychological disorders, with higher rates among females and humanities/social sciences majors. Higher HPLP scores, particularly in interpersonal relationships and nutrition, are associated with a lower risk of mental disorders.

The failure to achieve sustainable development in South Africa is due to the inability to deliver quality and adequate health services that would lead to the achievement of sustainable human security. As we live in an era of digital technology, Machine Learning (ML) has not yet permeated the healthcare sector in South Africa. Its effects on promoting quality health services for sustainable human security have not attracted much academic attention in South Africa and across the African continent. Hospitals still face numerous challenges that have hindered achieving adequate health services. For this reason, the healthcare sector in South Africa continues to suffer from numerous challenges, including inadequate finances, poor governance, long waiting times, shortages of medical staff, and poor medical record keeping. These challenges have affected health services provision and thus pose threats to the achievement of sustainable security. The paper found that ML technology enables adequate health services that alleviate disease burden and thus lead to sustainable human security. It speeds up medical treatment, enabling medical workers to deliver health services accurately and reducing the financial cost of medical treatments. ML assists in the prevention of pandemic outbreaks and as well as monitoring their potential epidemic outbreaks. It protects and keeps medical records and makes them readily available when patients visit any hospital. The paper used a qualitative research design that used an exploratory approach to collect and analyse data.

5G technology is transforming healthcare by enhancing precision, efficiency, and connectivity in diagnostics, treatments, and remote monitoring. Its integration with AI and IoT is set to revolutionize healthcare standards. This study aims to establish the state of the art in research on 5G technology and its impact on healthcare innovation. A systematic review of 79 papers from digital libraries such as IEEE Xplore, Scopus, Springer, ScienceDirect, and ResearchGate was conducted, covering publications from 2018 to 2024. Among the reviewed papers, China and India emerge as leaders in 5G health-related publications. Scopus, Springer Link, and IEEE Xplore house the majority of first-quartile (Q1) papers, whereas Science Direct and other sources show a higher proportion in the second quartile (Q2) and lower rankings. The predominance of Q1 papers in Scopus, Springer Link, and IEEE Xplore underscores these platforms’ influence and recognition, reflecting significant advancements in both practice and theory, and highlighting the expanding application of 5G technology in healthcare.