The increasing prevalence of dementia has necessitated the introduction and use of healthcare wearable devices to augment the healthcare services delivered to people with dementia (PWDs). Unfortunately, evidence on user feedback and the real impact of the actual use of these devices on the quality of life of PWDs has not been fully explored, especially in the context of developing countries. This study, therefore, seeks to evaluate the impact of actual use behavior (AUB) of healthcare wearable devices on the quality of life (QoL) of PWDs in Ghana by using constructs from the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model and the SF-36 quality of life instrument. Data were collected from people with dementia and, in some cases, caregivers (acting as proxies) in three administrative regions of Ghana using structured questionnaires. Of the 420 questionnaires distributed, 356 were returned, giving a response rate of (356/420, 84.8%). Three hundred and twenty (320) responses were used for further analysis, employing the Partial Least Squares based on Structural Equation Modeling. The results showed a significant positive relationship between AUB and QoL (p < 0.001). Other predictors such as behavioral intention, facilitating conditions, effort expectancy and social influence were also found to significantly impact the actual use behavior of healthcare wearable devices among PWDs. The study also revealed that 4% (14) of patients rated their reported health transition associated with the use of healthcare wearable devices as excellent, 42.5% (136) as very good, and 39.4% (126) as good, respectively at the time of the study compared to a year ago. This study provided empirical evidence of the positive impact of the actual use of healthcare wearable devices on the quality of life of PWDs and further highlighted the factors that drive actual use behavior among PWDs in Ghana. Based on the findings of this study, stakeholders need to create the necessary conditions that will facilitate the adoption and use of healthcare wearable devices, as this will help improve the quality of life, reduce the burden of the disease on caregivers, and enable independent living of PWDs.

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.

Social media has become a valuable tool in providing an opportunity to stay in touch with one’s social networks, providing reassurance and practical advice to individuals to pre-empt panic and rumors in COVID-19. However, the implications of social media use on the everyday emotion (anxiety and depression) of users especially, international students, are not well understood. Thus, this study sought to examine the impact of social media use on the everyday emotion of international students in China during COVID-19. Using a structured online questionnaire based on modified questions from the generalized anxiety disorder 7 (GAD-7) and the Patient Health Questionnaire 9 (PHQ-9) and social media use instruments, data were collected from 480 participants. Of the total responses received, 474 were further analyzed employing the Partial Least Squares Path Modelling (PLS-PM). This study showed a significant positive relationship between social media use and everyday emotion (B = 0.34, 95% CI (0.26, 0.44)). Additionally, self-rated anxiety and depression associated with social media use among international students were generally mild (n = 249, 52.50% and n = 350, 73.80%, respectively). Moderating effects revealed that age and sex do not significantly moderate the relationship between social media use and everyday emotion in COVID-19. Given the nature of social media among international students, who are also prone to suffering from anxiety and depression associated with social media use, the positive effect of social media use and everyday emotion, especially in COVID-19, has important implications for international students’ education stakeholders. Thus, gaining a deeper understanding of this relationship could enable them to harness social media and use it as a valuable tool to overcome the social distancing constraints in COVID-19.

The effects of large-scale land acquisitions for development projects such as mining, urbanization and dams are widely contested in the literature. Prior research has focused on the difficulties that resettlement poses for the affected families in terms of their capacity to meet the demands of the new community. This study suggests that resettlement (built environment) quality may act as a predictor and influence the residential satisfaction and quality of life of project-affected families. This study investigates how residential satisfaction influences the relationship between the quality of the dwelling, the context of resettlement homes, and the quality of life of mining-affected families in Ghana. A sample of 256 household heads displaced by a large-scale mining project in Ellembelle was used to evaluate the suggested model. The findings indicate that resettlement quality greatly enhances the quality of life of the mining-affected families. The findings also revealed that residential satisfaction was a significant mediator of the quality of dwellings and the context of the resettlement, in addition to being a strong predictor of quality of life. Indirectly, resident characteristics, such as socioeconomic and demographic conditions, influenced how people felt about their homes and quality of life. These results indicate that residential satisfaction and resettlement quality are accurate indicators of the mining-affected families’ quality of life. Integrating these features make it possible to quantify the mining-affected families’ quality of life for future research and public policy.