Search results

The study aims to identify the predictors of depression and anxiety among carers of hospitalized patients with mental illness in Eradah Complex for Mental Health Hospital.

A descriptive correlational study design was conducted using a convenient sample of family carers of patients with mental illness (N = 216). The study used the Beck Depression Inventory and Anxiety Inventory scales.

The results of regression models revealed that the socio-demographic characteristics of the family carers showed that age is a statistically significant predictor of family carers depression and anxiety scores. In addition, the age of the family carers explained 36% of the variance in the family carers depression and anxiety scores, while marital status explained 64% of the total variance in the family carers’ depression and anxiety scores. Furthermore, having received support in caring significantly predicted depression and anxiety scores, and this was the case for occupation status and being diagnosed with any form of chronic illness.

Based on the findings of this study, the authors opine that evaluations of carers’ cognitive strategies and social support are needed to determine the risk of depression in carers of mental patients.

This study is the one of the limited studies conducted in Saudi Arabia to identify predictor of depression and anxiety among caregivers of hospitalized patients with mental illness. The study has used a validated scales to assess the main study outcomes.

The COVID-19 epidemic has brought attention to the variables that influence the mental health of health workers who are entrusted with nursing individuals. Despite the fact that many articles have examined the effects of social media usage on mental health, there is a lack of research synthesizing learning from this body of research. The purpose of this study is to use text mining and citation-based bibliometric analysis to conduct a detailed review of extant literature on health workers’ mental health and social networking habits.

This study conducts a full-text analysis of 36 articles selected on health workers' mental health and social media using text-mining techniques in R programming and a bibliometric citation analysis of 183 papers from the Scopus database in VOS viewer software. But the limitations of the methods used in this study are that the bibliometric analysis was limited to the Scopus database because the VOS viewer program did not support any other database and the text-mining approach caused the natural processing redundancy.

The bibliometric analysis reveals the thematic networks that exist in the literature of health workers’ mental health and social networking. The findings from text mining identified ten topic models, which helped to find the related papers classified in ten different groups and are provided alongside a summary of the published research and a list of the primary authors with posterior probability through Latent Dirichlet Allocation.

To the best of the authors’ knowledge, this is the first hybrid review, combining text mining and bibliometric review, on health workers’ mental health where social networking plays a moderating role. This paper critically provides an overview of the impact of social networking on health workers' mental health, presents the most important and frequent topics, introduces the scientific visualization of articles published in the Scopus database and suggests further research avenues. These findings are important for academics, health practitioners and medical specialists interested in learning how to better support the mental health of health workers using social media.

This study explores whether and how Internet usage improves the subjective health of middle-aged and older adults by analyzing the mediating role of social engagement and heterogeneity of different living arrangements.

Based on data from the China Health and Retirement Longitudinal Study, the ordinary least squares (OLS) method is adopted to explore the relationship between Internet usage and the subjective health of middle-aged and older adults. Propensity score matching method (PSM) is used to alleviate self-selection bias in the samples. The bootstrap method is adopted to test the mediating role of social engagement, and generalized structural equation modeling (GSEM) is employed to resolve endogeneity. A permutation test is adopted to examine the heterogeneous effects of Internet usage on different living arrangements.

Internet access can help relieve depression among middle-aged and older adults and enhance their self-rated health, leading to perceived changes in health status. However, Internet usage is not directly associated with health satisfaction among middle-aged and older adults. Nevertheless, Internet usage can enhance middle-aged and older adults' subjective health by facilitating social engagement and significantly influences middle-aged and older adults living with their children.

This study reveals the underlying role of Internet usage among older adults and provides insights for governments and families to help middle-aged and older adults actively adapt to a digital society and improve their health.

This study aims to conduct a complete bibliometric analysis of published research to develop a solid roadmap for future research into developing young adults’ mental health and resilience and to further the body of knowledge and scientific advancement in this area.

A literature search using VOSviewer, through Web of Science, was conducted to identify young adult mental health and resilience studies. A total of 226 studies were identified between 1993 and the end of June 2022, as the number of published studies increased. Extracted data included citation, co-citation, keyword and co-word analyses.

This study evaluates the current knowledge structure of young adult mental health and resilience through co-citation analysis and discovers the directions and trends of popular topics in young adult mental health and resilience through co-word analysis. It suggests that legislators and physicians should aim to provide social support via screening and interventions, especially for young adults struggling with disruption in their social lives.

Using a bibliometric approach, the findings provide a robust roadmap for further investigation into young adult mental health and resilience evolution. This method will further advance the knowledge and progress of this field, as this research is the first attempt at doing so – to the best of the authors’ knowledge.

Teleworking, working from home and flexible work have gained popularity over the last few years. A shift in policies and practices in the workplace is required owing to the COVID-19 pandemic accelerating current trends in work-from-everywhere (WFE) research. This article presents a systematic literature review of WFE research from 1990 to early 2023 to understand the transformation of the field.

The Web of Science database was used to conduct this review based on rigorous bibliometric and network analysis techniques. The prominence of the research studied using SPAR-4-SLR and a collection of bibliometric techniques on selected journal articles, reviews and early access articles. Performance and keyword co-occurrence analysis form the premise of cluster analysis. The content analysis of recently published papers revealed the driving and restraining forces that help define and operationalize the concept of WFE.

The major findings indicate that the five established and accelerated trends from cluster analysis are COVID-19 and the pandemic, telework(ing), remote working, work from home and well-being and productivity. Driving and restraining forces identified through content analysis include technological breakthroughs, work–life integration challenges, inequality in the distribution of jobs, gender, shifts in industry and sector preferences, upskilling and reskilling and many more have been published post-COVID in the restraining forces category of WFE.

A key contribution of this pioneering study of “work from everywhere” is the linking of the bibliometric trends of the past three decades to the influencing and restraining factors during the pandemic. This study illustrates how WFE could be perceived differently post-COVID, which is of great concern to practitioners and future researchers.

A wide range of publications on WFE and multiple synonyms can create confusion if a systematic and effective system does not classify and associate them. This study uses both bibliometric and scientometric analyses in the context of WFE using systematic literature review (SLR) methods.

The aim of this study is to understand the acculturation experiences of international students in order to maximize their academic and social experiences which, in turn, can facilitate the development of sustainable educational tourism in the host country.

Using a qualitative methodology and semi-structured interview techniques, 40 international postgraduate tourism students from the Global South were interviewed.

The findings in this study demonstrated that the main problems faced by these students are inadequate funds and language difficulties.

This study highlighted the fact that although the number of international students is growing all over the world, for most of the students from poorer parts of the world, being an international student is fraught with difficulties. It also demonstrated that although acculturation stress is a serious concern, lack of adequate funding assumes greater importance for students from a poor background.

The aim of this study was to determine the effectiveness of promoting peer support to reduce depression, anxiety and stress among migrant construction workers in Singapore.

This longitudinal study drew participants from migrant workers of various nationalities in the construction sector in Singapore. Baseline data pertaining to depression, anxiety and stress was established using the DASS-21 questionnaire, and salient covariates such as demographic factors and work environment factors recorded using suitable questionnaires. Intervention was training of participants on peer support techniques, supplemented by episodic support by trained counsellors. At the end of 6 months, DASS-21 was again deployed to obtain the post-results. Comparison of baseline with post-results data was performed to evaluate effectiveness of the peer support intervention.

Statistically significant reduction was observed in measures of all the three parameters studied, namely, depression, anxiety and stress. A decrease of 3.3 (95% CI:2.3 to 4.3) points in mean depression score, a decrease of 2.6 (95% CI: 1.6 to 3.7) points in mean anxiety score and a decrease of 2.7 (with 95% CI: 1.6 to 4.0) points in mean stress scores on the DASS-21 scale were recorded. Conclusions: Peer support is effective in improving mental health of migrant workers in the construction sector in Singapore. This intervention should be considered among other measures to improve their welfare.

This is the first paper that talks about the mental health of migrant workers pre-COVID and hence would be a strong paper for the future comparative studies for pre-and post-COVID periods. This is the first paper that addresses the benefits of peer-support among migrant workers to improve their mental wellbeing.

The early care and education (ECE) workforce plays a pivotal role in shaping early childhood developmental trajectories and simultaneously experiences significant mental health disparities. The purpose of this study is to investigate how social determinants of health and external stressors are associated with the mental health of ECE staff, which represent a low-resourced segment of the workforce; how psychological capital (psycap) can mitigate these associations.

The authors administered an 89-item survey to 332 ECE staff employed in 42 Head Start centers in the USA. The authors ran three hierarchical linear regression models to analyze associations between social determinants of health, external sources of stress, psycap and potential moderation effects and mental health outcomes.

Individuals experiencing greater finance-related stress reported 0.15 higher scores on the depression scale and 0.20 higher scores on the anxiety scale than those experiencing less finance-related stress (p < 0.05). Individuals experiencing greater work-related stress reported 1.26 more days of poorer mental health in the past month than those experiencing less work-related stress (p < 0.01). After controlling for all sociodemographic variables and sources of stress, psycap was significantly and negatively associated with depressive symptomology (b-weight = −0.02, p < 0.01) and the number of poor mental health days reported in the past month (b-weight = −0.13, p < 0.05). Moderation models suggest that higher levels of psycap may mitigate the association between work-related stress and the number of poor mental health days reported in the past month (b-weight = −0.06, p = 0.02).

The implications of these findings suggest a need for policy change to mitigate social determinants of health and promote pay equity and multi-level interventio ns that target workplace-related stressors and psycap to combat poor mental health of the ECE workforce.

This study aims to explore the effect of mental health in terms of depression, anxiety, stress, fear of COVID-19 and quality of life (QoL) on the reluctance to be vaccinated in a population of Palestinian adults living in occupied Palestinian territories and Israel.

The authors recruited 1,122 Palestinian adults who consented to participate in the study; 722 were females, and the mean age of the sample was 40.83 (SD 8.8). Depression, anxiety, and stress scale (DASS), World Health Organization QoL-BREF, FCov-19 and reluctance to the vaccine scale were administered; hierarchical regression analysis was applied to test vaccine reluctance as a dependent variable, and mental health, fear of COVID-19 and QoL as independent variables. This study hypothesized influence of such variables on the vaccine choice with differences due to the participants’ geographical locations.

Findings showed an effect of mental health, particularly depression, QoL and fear of COVID on vaccine reluctance, with depression and fear of COVID in the West Bank and Gaza, while in Israel, QoL played a role in vaccination choices.

The future needs to be comprehended more thoroughly to discover mutations and fluctuations over time in vaccine hesitancy and the increasing role of psychological distress, diminished QoL and fear of Covid-19. Online recruitment might not have allowed the study to include the most disadvantaged strips of the Palestinian population.

Human rights perspectives must be considered in public health and public mental health policies to ensure the QoL and well-being for the Palestinian population during and following the pandemic.

The crumbling of the Palestinian health-care system exacerbated the sense of dread among the population and made them less likely to vaccinate. The pandemic-like spread of Covid-19 prompts a plea for the global community to actively advocate for the urgent re-establishment of equity, autonomy and durability of the medical infrastructure in the occupied territories and equal entitlements for the Palestinians in Israel.

The results demonstrated the importance for public mental health to consider the multiple levels implied in the vaccine refusal in Palestine and Israel among the Palestinian population.

This paper aims to reflect on the outcomes of a community-based video-conferencing intervention for depression, predating the COVID-19 pandemic. The study investigates the potential implications of its findings for enhancing adherence to digital mental health interventions. The primary objective is to present considerations for researchers aimed at minimising the intention-behaviour gap frequently encountered in digital mental health interventions.

A randomised control feasibility trial design was used to implement a telehealth model adapted from an established face-to-face community-based intervention for individuals clinically diagnosed with depression. In total, 60 participants were initially recruited in association with a local mental health charity offering traditional talking-based therapies with only eight opting to continue through all phases of the project. Modifications aligning with technological advancements were introduced.

However, the study faced challenges, with low uptake observed after an initial surge in recruitment interest. The behaviour-intention gap highlighted technology as a barrier to service accessibility, exacerbated by participant age. Furthermore, the clinical diagnosis of depression, characterised by low mood and reduced interest in activities, emerged as a potential influencing factor.

The limitations of the research include its pre-pandemic execution, during a nascent stage of technological mental health interventions when participants were less familiar with online developments.

Despite these limitations, this study's reflections offer valuable insights for researchers aiming to design and implement telehealth services. Addressing the intention-behaviour gap necessitates a nuanced understanding of participant demographics, diagnosis and technological familiarity.

The study's relevance extends to post-pandemic society, urging researchers to reassess assumptions about technology availability to ensure engagement. This paper contributes to the mental health research landscape by raising awareness of critical considerations in the design and implementation of digital mental health interventions.

Reflections from a pre-pandemic intervention in line with the developments of a post-pandemic society will allow for research to consider that because the technology is available does not necessarily result in engagement.