Economic development and social environment changes influence disease patterns ranging from infectious diseases to noncommunicable diseases, and diabetes is one of the seven causes leading to death and disability in Vietnam. The purpose of this research is to present an overview of the challenges related to diabetes prevention in Vietnam and to find effective ways for the prevention and control of diabetes, as well as to improve the quality of life among diabetes patients. The literature review was conducted using a variety of databases, such as PubMed, Google Scholar, Science Direct, Vietnamese data sources, and papers published in the Vietnamese language. For the searches, we used keywords such as "Diabetes," "Prevention," and "Prevalence of Diabetes." With the increasing prevalence of diabetes, there are approximately 5.76 million people with diabetes currently living in Vietnam. The age-adjusted comparative prevalence of diabetes in the population of Vietnam was approximately 6% in 2017. This review suggests that the government needs to establish social security and policy programs aimed at reducing social risk factors and the burden of healthcare costs for diabetes treatment in older people. In addition, attention should be paid to the management and control of diabetes-related diseases, with an emphasis on new techniques for early diagnosis and treatment. Simultaneously, the health system should ensure that diabetes patients living in rural areas and belonging to ethnic minorities can access better healthcare services to improve their health and decrease their risk for chronic disease and death.

This study aimed to research the trajectory of leisure activity and the health status of older adults and analyze the effects of leisure activity on the health status of older adults. Based on the longitudinal data of CLHLS (2008–2018), the latent growth curve model (LGCM) was used; we found that the leisure activities (LA), activities of daily living (ADL) ability, instrumental activities of daily living (IADL) ability, and cognitive ability (COG) of older adults show a nonlinear downward trend over time. Furthermore, the panel binary regression analysis is used to find that leisure activities have significant inhibitory effects on ADL disorder, IADL disorder, and cognitive impairment in the older population. In addition, by using latent profile analysis (LPA), the older population is classified into three groups according to the homogeneity of the older adults’ choice of leisure activities, namely the types of relaxation, entertainment, and intellectual-learning, respectively. Based on the classification results, the analysis of one-way ANOVA shows that the rates of ADL disorder, IADL disorder, and cognitive impairment of older adults with different types are significantly different. Moreover, the inhibitory effect of leisure activities on the rate of ADL disorder, IADL disorder, and cognitive impairment of older adults is more significant in the middle-aged and high-aged groups. Therefore, older adults should be encouraged to increase leisure activities, especially those who are middle-aged and high-aged.

Due to rapid development and population growth in Ghana’s urban and peri-urban areas, most freshwater resources are degrading, directly affecting residents in these vicinities. This study, therefore, evaluates how human activities such as urbanization, farming and industrialization affect the Bonsa River and the health-related quality of life of residents living downstream. The study adopted statistical package for the social sciences (SPSS) and partial least square structural equation modeling (PLS-SEM) to assess the data retrieved from the residents living in and around the Bonsa River in Tarkwa Nsuaem, Ghana. The study’s outcome reveals a positive and significant impact of land use change on freshwater resource degradation and poor health-related quality of life of the inhabitants in the catchment area. The study has numerous practical and policy implications for the government, environmental and healthcare industry, and policymakers.

Objectives: to examine the causal relationship between sleep quality and life satisfaction and explore the mediating role of health status on the relationship between sleep quality and life satisfaction. Methods: A total of 1856 older Chinese people participating in 2011, 2014, and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were included. A cross-lagged panel analysis (CLPA) combined with mediator analysis was utilized. Results: The average sleep quality levels for the years 2011, 2014, and 2018 were 3.70, 3.63, and 3.47 out of 5, respectively. The corresponding average levels of health status were 3.47, 3.44, and 3.39 out of 5, and the average levels of life satisfaction were 3.75, 3.86, and 3.87 out of 5, respectively. In addition, sleep quality at prior assessment points was significantly associated with life quality at subsequent assessments, and vice versa. Also, health status partially mediated this prospective reciprocal relationship. Conclusions: There is a nonlinear decreased trend in sleep quality and health status, while there exists a nonlinear increased trend in life satisfaction for older adults from 2011 to 2018. Reciprocal positive effects between sleep quality and life satisfaction in older adults exist and are mediated by health status.

The working conditions created by the Covid-19 pandemic have been proven to amplify frontline nurses’ desire to leave their profession in recent years; thus, exploring new causing variables is vital. This cross-sectional study examined role demands’ direct and indirect effects on turnover intention through compassion fatigue and tested the various dimensions of spiritual leadership as moderators on the relationship between compassion fatigue and turnover intention. A total of 527 valid responses were collected from frontline nurses working in designated hospitals across Zhejiang province in China using a survey questionnaire. The outcomes from the hierarchical regression analysis indicated that role demands positively and significantly impacted turnover intention and compassion fatigue. Besides, compassion fatigue significantly and positively affected turnover intention and mediated its relationship with role demands. However, vision and altruistic love moderated the relationship between compassion fatigue and turnover intention, which was not true for the dimension hope/faith. This study’s findings are a steppingstone for medical firms’ managers and policymakers in demonstrating the likelihood of frontline nurses developing turnover thoughts arising from ambiguous and conflicting roles and the emotional strain from patients’ burdens. Furthermore, an exemplary implementation of spiritual leadership could help enhance nurses’ sense of calling and membership, essential in embracing the organization’s vision and achieving its goals.

China has become the world‘s second largest healthcare market based on a recent report by the World Health Organization. Eventhough China achieved universal health insurance coverage in 2011, representing the largest expansion of insurance coverage in human history achieved; health inequality remains endemic in China. Lessons from the effect of market crisis on health equity in Europe and other places has reignited interest in exploring the potential healthcare market aberrations that can trigger distributive injustice in healthcare resource allocation among China’s provinces. Recently, many healthcare investors in China have become more concerned about capital preservation, and are responding by abandoning long term investments strategies in healthcare. This investment withdrawal en mass is perceived to be influenced by herding tendencies and can trigger or consolidate endemic health inequality. Our study simultaneously employs four testing models (two state spaced models and two return dispersion models) to establish the existence of procyclical (herding) behavior among the stocks and its health equity implications. These are applied to a large set of data to compare and contrast results of herd formation among investors in fourteen healthcare sectors in China. The study reveals that apart from the cross sectional standard deviation (CSSD) model, the remaining two models and our augmented state space model yields significant evidence of herding in all subsectors of the healthcare market. We also find that the herding effect is more prominent during down movements of the market. Herding behavior may lead to contemporaneous loss of investor confidence and capital withdrawal and thereby deprive the healthcare sector of the much needed capital for expansion. Thus there may be obvious delay in efforts to bridge the gap in access to healthcare facilities, medical support services, medical supplies, pharmaceuticals, biotechnology, diagnostic substances, medical laboratory and advanced medical equipment across China. Moreover, a potential crash in the healthcare market is possible in the healthcare sector as a result of persistent herding tendencies among investors and that may have more damaging consequences for health inequality in China.