RESUMEN

BACKGROUND: Youth experiencing homelessness (YEH) in East Asian Pacific (EAP) regions represent one of the most at-risk populations due to cultural and geographical factors. Effective mental health interventions, primarily researched in Western contexts, may not fully apply to YEH in EAP. Their lack of stable shelter, disrupted social networks, and limited access to mental health services elevate their susceptibility to adverse mental health, making urgent interventions essential to address their needs. OBJECTIVE: The objective of this study is to explore and systematically search the types of mental health services and interventions available for YEH in EAP and their impact on overall quality of life and wellbeing. METHODS: Electronic databases (e.g., Medline, PsycINFO, PubMed, Scopus) were systematically searched (publication dates between 1 January 1990 and 13 May 2023), as well as additional online resources specific to homelessness. Articles were screened, and a critical appraisal assessed the quality of the included studies. RESULTS: Eight studies with different interventions were identified in Indonesia (n = 2), Malaysia (n = 1), South Korea (n = 3), and the Philippines (n = 1). These were thematically clustered into six categories: art, cognitive behavioural therapy, life skills education, resilience enhancement, family strengthening, and government interventions/services. CONCLUSIONS: This review highlights effective mental health interventions' positive impact on YEH mental health outcomes and quality of life in EAP, stressing the urgent need to implement socio-culturally sensitive services. Future research should address knowledge gaps through comprehensive studies covering diverse EAP regions and populations, prioritising socio-culturally specific psychological measures.

RESUMEN

The evaluation of the vulnerability of coupled socio-ecological systems is critical for addressing and preventing the adverse impacts of various environmental hazards and devising strategies for climate change adaptation. The initial step in vulnerability assessment involves exposure assessment, which entails quantifying and mapping the risks posed by multiple environmental hazards, thereby offering valuable insights for the implementation of vulnerability assessment methodologies. Consequently, this study sought to model the exposure of coupled social-ecological systems in mountainous regions to various environmental hazards. By a set of socio-economic, climatic, geospatial, hydrological, and demographic data, as well as satellite imagery, and examining 11 hazards, including droughts, pests, dust storms, winds, extreme temperatures, evapotranspiration, landslides, floods, wildfires, and social vulnerability, this research employed machine learning (ML) techniques and the fuzzy analytical hierarchy process (FAHP). Expert opinions were utilized to guide hazard weighting and calculate the exposure index (EI). Through the precise spatial mapping of EI variations across the socio-ecological systems in mountainous areas, this investigation provides insights into vulnerability to multiple environmental hazards, thereby laying the groundwork for future endeavors in supporting national-level vulnerability assessments aimed at fostering sustainable environments. The findings reveal that social vulnerability and pests receive the highest weighting, while floods and landslides are ranked lower. All hazards demonstrate significant correlations with the EI, with droughts exhibiting the strongest correlation (r > 0.81). Spatial analysis indicates a north-south gradient in forest exposure, with southern regions showing higher exposure hotspots (EI 29.08) compared to northern areas (EI 10.60). Validation based on Area Under Curve (AUC) and Consistency Rate (CR) in FAHP demonstrates robustness, with AUC values exceeding 0.78 and CR values below 0.1. Considering the anticipated intensification of hazards, management strategies should prioritize reducing social vulnerability, restore degraded areas using drought-resistant species, combat pests, and mitigate desertification. By integrating multidisciplinary data and expert opinions, this research contributes to informed decision-making regarding sustainable forest management and climate resilience in mountain ecosystems.

RESUMEN

As one of the most important and directly affected infrastructure by flood disasters in urban areas, the road system plays a crucial role in maintaining the order of human production and life, as well as providing a foundation for the implementation of emergency response work in disaster scenarios. The existing flood resilience quantification methods based on maximum inundation depths of each individual road unit neglects the influences on flood resilience caused by the connectivity of road system. Therefore, this paper focuses on the road system, simulates the flood resilience of the road system in multiple disaster scenarios based on the functionality curve of road system under rainfall-inundation processes, then quantifies the improvement effect of Low Impact Development (LID) measures on flood resilience. A case study is conducted in Yunmen community, Jingdezhen city in China. The results indicate that: (1) The flood resilience of the road system decreases with the increase of rainfall intensity under different scenarios, and the magnitude of the decrease reduces. (2) The road system exhibits strong adaptability during the early stages of rainfall; The duration of functionality loss increases with increasing of rainfall intensity in different scenarios. (3) Implementation of LID measures can significantly improve system robustness by enhancing the reliability of the roads around critical nodes, thereby effectively enhancing flood resilience. The conclusions can provide a theoretical basis for decision-makers to develop urban flood mitigation engineering plans and resilience strategies tailored to local conditions.

Asunto(s)

RESUMEN

BACKGROUND: Videoconferencing-based treatments have shown great potential in increasing engagement and compliance by decreasing the barriers of time and distance. In general, employees tend to experience a lot of stress, but find it difficult to visit a clinic during office hours. OBJECTIVE: The purpose of this study was to investigate the effectiveness of a mobile videoconference-based intervention for stress reduction and resilience enhancement in employees. METHODS: In total, 81 participants were randomly allocated to one of the three conditions: mobile videoconferencing, in-person, and self-care; of these, 72 completed the study. All participants underwent assessment via self-reported questionnaires before, immediately after, and 1 month after the intervention. Intervention lasted for 4 weeks and consisted of elements of cognitive behavioral therapy, positive psychology, and meditation. Changes in clinical variables regarding stress and resilience across time were compared between treatment conditions. RESULTS: There were significant condition × time effects on variables measuring perceived stress, resilience, emotional labor, and sleep, demonstrating significantly differential effects across time according to treatment condition. Moreover, there were significant effects of condition on perceived stress and occupational stress. There were no significant differences in any variable between the mobile videoconferencing and in-person conditions at 1 month after the intervention. CONCLUSIONS: Results indicate that both mobile videoconferencing and in-person interventions were comparably effective in decreasing stress and enhancing resilience. Further studies with a larger sample size and a longer follow-up period are warranted to investigate the long-term effect of mobile videoconferencing interventions. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT03256682; https://clinicaltrials.gov/ct2/show/NCT03256682 (Archived by WebCite at http://www.webcitation.org/71W77bwnR).

Asunto(s)