BackgroundTikTok is a significant part of social media usage, since 25.6% of the total global population has a TikTok account, and, thus, scholars should pay attention to its association with users' mental health.ObjectiveTo synthesize and evaluate the association between problematic TikTok use and mental health.MethodsWe applied the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines in our review. The review protocol was registered with PROSPERO (CRD42024582054). We searched PubMed, Scopus, Web of Science, PsycINFO, ProQuest, and CINAHL until September 02, 2024.ResultsWe identified 16 studies with 15,821 individuals. All studies were cross-sectional and were conducted after 2019. Quality was moderate in 10 studies, good in three studies, and poor in three studies. Our random effects models showed a positive association between TikTok use and depression (β = 0.321, 95% confidence interval: 0.261 to 0.381, p < 0.001, I2 = 78.0%, n = 6 studies), and anxiety (β = 0.406, 95% confidence interval: 0.279 to 0.533, p < 0.001, I2 = 94.8%, n = 4 studies). Data to perform meta-analysis with the other mental health variables were limited. However, our descriptive data showed a positive association between TikTok use and body image issues, poor sleep, anger, distress intolerance, narcissism, and stress.ConclusionOur findings suggest that problematic TikTok use has a negative association with several mental health issues. Given the high levels of TikTok use, especially among young adults, our findings are essential to further enhance our understanding of the association between TikTok use and mental health. Finally, there is a need for further studies of better quality to assess the association between problematic TikTok use and mental health in a more valid way.

Global health aims to improve health outcomes and promote equity by addressing transnational health issues through cross-disciplinary collaboration. This field merges preventive measures with clinical care to enhance health and reduce disparities. On the other hand, human well-being includes material and non-material factors that influence quality of life and personal fulfillment. Together, they are crucial for sustainable development, aligning with the UN's Sustainable Development Goals. Though often examined separately, understanding their interconnectedness can reveal the root causes of global challenges, such as pandemics and climate change, and inform comprehensive strategies for a healthier, more equitable world. This systematic review updates the current challenges and opportunities in global health and well-being. It highlights the importance of scalable, cost-effective solutions, incorporating global health, environmental sustainability, and local contexts to address issues like antimicrobial resistance (AMR), zoonotic diseases, and climate-related health impacts. The study advocates for a multidisciplinary approach, integrating knowledge from medical microbiology, agriculture, environmental science, and traditional practices. Effective solutions should be holistic and inclusive, incorporating bioinformatics in AMR, One Health strategies, and sustainable food systems through regenerative agriculture. These recommendations support broader health equity goals, emphasizing the deep connections among human, animal, and environmental health that are essential for global well-being.

Air pollution, comprising a complex mixture of gaseous and particulate pollutants, remains a major global health concern that disproportionately affects vulnerable populations. In this scoping review, we aim to systematically investigate the role of genetic susceptibility in health outcomes associated with exposure to air pollution, with a particular emphasis on fine particulate matter (PM2.5), particulate matter (PM10), nitrogen dioxide (NO2), and nitrogen oxides (NOx); key pollutants consistently linked to adverse health effects. By exploring the gene-environment interactions underlying air pollution-related conditions, this review offers new insights into how genetic factors may modulate individual responses to air pollutants and their implications for precision health. Analyzing 16 peer-reviewed studies published in the last decade, we highlight genetic markers and pathways involved in regulating oxidative stress, inflammation, and DNA repair, which are thought to influence individual variation in responses to PM2.5, PM10, NO2, and NOx. Although none of the included studies entailed multi-omics or machine learning approaches, we identified these tools as promising directions for future research aimed at elucidating mechanistic pathways and informing personalized strategies. These techniques could significantly improve the understanding of gene-environment interactions, and are suggested as emerging methodologies for future studies. However, the scarcity of longitudinal studies and the underrepresentation of diverse populations limit the generalizability of the current findings. Addressing these gaps will be essential for advancing research, improving environmental health equity, and informing policy in the context of air pollution and genetic susceptibility.

BackgroundThe aged care sector faces significant challenges due to rising demand from aging populations and chronic diseases, in addition to workforce shortages, contributing to staff stress, burnout, and poor mental wellbeing. In this review, we synthesized quantitative studies on factors and interventions to improve the mental wellbeing of the aged care workforce across indicators and system levels.MethodsFive academic databases (Medline, Embase, Scopus, PsycInfo, and CINAHL) were searched from January 2014 to May 2024, using keywords related to aged care, care workers, and mental wellbeing. Quantitative studies examining factors or outcomes of interventions related to staff wellbeing were included. Identified factors were classified as micro-, meso-, and macro-level using a combined inductive and deductive approach.ResultsEighty-nine studies were included: 64 (72%) identified significant factors, and 25 (28%) evaluated interventions aiming to improve workers' mental wellbeing. Almost half concentrated on nursing staff (n = 38, 43%), with others addressing direct care workers (n = 25, 28%) or aged care workers more broadly (n = 19, 21%). From the synthesis, a multi-level model of factors affecting aged care worker wellbeing was developed, comprising 11 themes and 39 sub-themes; 3 micro-level themes (1. personal factors, 2. work engagement, and 3. skills and abilities), 6 meso-level themes (4. job demands, 5. professional relations, 6. job control, 7. leadership, 8. professional development, and 9. workplace resources), and 2 macro-level themes (10. policy and regulation and 11. structure and governance). Among the 25 intervention studies, most entailed micro-level changes (n = 24, 96%), including relaxation, emotion regulation, and behavioral management education training.ConclusionsUnderstanding system-level factors is a key to designing comprehensive improvement approaches. Our new model can help guide organizations in developing targeted strategies to promote mental wellbeing and strengthen care delivery. While individual-focused interventions have shown benefits, organizational and broader system-level strategies to improve mental wellbeing are pivotal for achieving sustainable change.

Non-communicable diseases (NCDs) pose a major public health challenge worldwide, particularly in low- and middle-income countries (LMICs) like Indonesia, driven by urbanization, lifestyle changes, and environmental risks. Challenges such as constrained healthcare resources and socio-economic disparities hinder the effectiveness of NCD prevention and management. In response, Indonesia has implemented the Community-Based Chronic Disease Management Program (Prolanis), designed to promote regular monitoring, medication adherence, lifestyle modifications, and health education through primary health centers. This scoping review aimed to identify and map the barriers to Prolanis implementation across different regions and communities in Indonesia. A comprehensive literature search was performed in Scopus, ScienceDirect, and PubMed for peer-reviewed publications between 2014 and 2024. After the screening process, 38 peer-reviewed works met the inclusion criteria and were analyzed thematically. Thematic analysis indicated five major categories of barriers, including infrastructure and staffing constraints, low coverage, participation and adherence, socioeconomic and cost barriers, cultural and health literacy barriers, and pandemic-related disruptions. Key issues included inadequate human resources, inconsistent medical supplies, geographic barriers, patient time conflicts, and a lack of perceived benefit. Additionally, socio-economic challenges such as out-of-pocket expenses and transportation costs further restricted participation. Addressing these identified barriers is critical for improving the effectiveness of Prolanis and enhancing chronic disease management in Indonesia. These findings also contribute valuable insights for the implementation of community-based NCD programs in other LMIC settings.

BackgroundCholera remains a persistent and deadly global public health threat, with recent years witnessing a resurgence of large-scale outbreaks, particularly in conflict-affected and resource-limited regions. The disease disproportionately affects vulnerable populations lacking access to clean water, sanitation, and essential healthcare services.ObjectiveThis systematic review aimed to synthesize evidence published between 2019 and 2024 to examine the evolving public health implications, economic burden, and prevention strategies associated with cholera outbreaks globally.MethodsFollowing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a comprehensive literature search was conducted across the major databases. Eligible studies were screened and assessed for quality and relevance using predefined inclusion criteria and standardized appraisal tools.ResultsThe review reveals an integrated perspective on cholera by analyzing the intersection of epidemiological trends, health system readiness, and socioeconomic vulnerabilities. Emerging factors such as climate change, population displacement, and political instability were identified as key contributors to cholera outbreaks. Innovative tools, including predictive modeling and artificial intelligence, demonstrate promise for early detection and response. The review also highlights the benefits and challenges of oral cholera vaccines (OCVs), the critical need for sustainable water and sanitation infrastructure, and the importance of community-based interventions.ConclusionThis review reinforces the urgency of adopting a multisectoral, systems-based approach to cholera prevention. Applying the “One Health” framework and aligning public health strategies with economic and policy insights can significantly enhance global efforts to reduce cholera's incidence and mortality. The findings inform key research and policy priorities to strengthen preparedness and resilience in high-burden settings.

Artificial intelligence (AI) is playing an increasing role in several fields of medicine. It is also gaining popularity among surgeons as a valuable screening and diagnostic tool for many conditions such as benign and malignant colorectal, gastric, thyroid, parathyroid, and breast disorders. In the literature, there is no review that groups together the various application domains of AI when it comes to the screening and diagnosis of main surgical diseases. The aim of this review is to describe the use of AI in these settings. We performed a literature review by searching PubMed, Web of Science, Scopus, and Embase for all studies investigating the role of AI in the surgical setting, published between January 01, 2000, and June 30, 2023. Our focus was on randomized controlled trials (RCTs), meta-analysis, systematic reviews, and observational studies, dealing with large cohorts of patients. We then gathered further relevant studies from the reference list of the selected publications. Based on the studies reviewed, it emerges that AI could strongly enhance the screening efficiency, clinical ability, and diagnostic accuracy for several surgical conditions. Some of the future advantages of this technology include implementing, speeding up, and improving the automaticity with which AI recognizes, differentiates, and classifies the various conditions.

This study aimed to establish the relationship between the appendicular muscle mass index (AMMI), assessed from anthropometric variables, and the physical function of older people. Seventy-six older people participated in this study (72.03 ± 7.03 years). The participants underwent evaluations to determine their AMMI using anthropometry (weight, calf circumference, hip circumference, and knee height) and manual grip strength. Additionally, their physical function was evaluated using the 5-chair stand test, the 3-meter walk test, and the timed up and go test (TUG) to determine the strength of the lower limbs, the gait speed, and the dynamic balance, respectively. The results show that the AMMI did not present a significant relationship with the 5-chair stand test in both women (r = -0.135; p = 0.204) and men (r = -0.067; p = 0.349). The AMMI was moderately correlated with the gait speed in both women (r = 0.542; p < 0.001) and men (r = 0.556; p < 0.001). Finally, a statistical significance was observed in the relationship between the AMMI and the TUG test in women (r = -0.273; p = 0.047) and older men evaluated in this study (r = -0.284; p = 0.042). In conclusion, there is a relationship between the AMMI and both the dynamic balance and the gait speed. Therefore, the AMMI emerges as a potential public health assessment by enabling the clinical quantification of muscle mass and an estimation of physical function in the elderly population.

Adults with Attention-Deficit/Hyperactivity Disorder (ADHD) often face significant deficits in executive function and adverse work-related outcomes. This study aimed to explore the role of executive function deficits in job burnout of employees with ADHD. We hypothesized that employees with ADHD, relative to employees without ADHD, will experience higher levels of job burnout and deficits in executive function. We also hypothesized that the ADHD-job burnout relationship would be mediated through executive function deficits, specifically by self-management to time and self-organization/problem-solving. A field study with 171 employees provided support for the research hypotheses and mediation model in which the employees' ADHD-job burnout relationship was mediated through executive function deficits. Additional mediation analyses indicated that the specific executive function of self-management to time and self-organization/problem-solving mediated the effect of ADHD on job burnout and its facets. Specifically, for physical fatigue, the mediation was realized through self-management to time, and for emotional exhaustion and cognitive weariness, the mediation was significant through self-organization/problem-solving. The present findings shed light on the relevance of referring ADHD among employees, their vulnerability to job burnout, and the role of executive function deficits in job burnout of employees with ADHD.

The pandemic has led to notable psychological challenges among healthcare professionals, including nurses. Our aims of this study were to assess insomnia and nightmare distress levels in nurses and investigate their association with mental resilience. Nurses participated in an online survey, which included the Nightmare Distress Questionnaire (NDQ), Brief Resilience Scale (BRS) and Athens Insomnia Scale (AIS). Demographic information, such as age, professional experience and gender, was also collected. The study included 355 female and 78 male nurses. Findings revealed that 61.4% had abnormal AIS scores, 7% had abnormal NDQ scores and 25.4% had low BRS scores. Female nurses had higher AIS and NDQ scores but lower BRS scores compared to males. BRS demonstrated negative correlations with both AIS and NDQ. Multiple regression analysis indicated that NDQ accounted for 24% of the AIS variance, with an additional 6.5% explained by the BRS. BRS acted as a mediator, attenuating the impact of nightmares on insomnia, with gender moderating this relationship. Nursing staff experienced heightened sleep disturbances during the pandemic, with nightmares and insomnia being prevalent. Nightmares significantly contributed to insomnia, but mental resilience played a vital role in mitigating this effect. Strategies are warranted to address the pandemic's psychological impact on nursing professionals.