Interventions In Environments Research Articles

Multi-Context Strategies and Opportunities for Increasing Levels of Physical Activity in Children and Young People: A Literature Review

Background: In today’s society, low levels of physical activity are observed in the child and adolescent population, which can cause numerous pathologies, such as obesity and mental health problems. Objective: This article aims to compile all the contexts and scenarios where it is possible to increase the levels of daily physical activity of children and young people, and which have significant scientific support. Method. To do so, a literature review was carried out examining four key contexts for intervention: school, extracurricular, family, and socio-community. Results: The results indicate that the school context, with strategies such as physical education classes and active breaks, is crucial but insufficient on its own, so it is essential to complement it with interventions in extracurricular, family, and socio-community environments. The involvement of families, access to adequate infrastructure such as parks and green areas, and the responsible use of technology, including active video games and the role of influencers on social networks, are presented as key elements to combat a sedentary lifestyle. Conclusions: It is important to highlight the importance of establishing socio-educational programs that adopt a comprehensive approach to promote physical activity in children and youth, highlighting the scientific evidence that supports the effectiveness of intervening in multiple scenarios. This review concludes that a coordinated approach between different actors (schools, families, communities) is necessary to ensure that children and youth reach adequate levels of physical activity, which not only improves their physical health, but also their mental well-being and cognitive development.

Machine learning for early detection of plant viruses: Analyzing post-infection electrical signal patterns

Plant viral diseases significantly threaten global agricultural productivity, necessitating rapid and non-invasive early detection methods to mitigate losses and prevent disease spread. This study presents a novel approach for early detection of viral infections in plants by analyzing electrical signal patterns, focusing on Alfalfa Mosaic Virus (AMV) infection in tobacco plants. A custom-designed, portable signal recording system was developed, incorporating multiple filtering stages at different steps to minimize noise in field conditions without the need for a Faraday cage, ensuring high-quality signal acquisition. Electrical signals were recorded from both healthy and AMV-infected plants before visible symptoms appeared. By extracting a comprehensive range of features in the low-frequency range of 0–4 Hz and carefully examining specific changes in the electrical signals post-infection, significant alterations were observed, characterized by weakened signal strength and increased irregularity. Through precise feature selection techniques, and using only three key features—Median, Autoregressive coefficients, and Autocorrelation—machine learning models, including Support Vector Machine, K-Nearest Neighbors, and Random Forest, achieved approximately 97% accuracy in detecting virus-infected plants even before the appearance of visual symptoms. This represents superior performance with minimal input data compared to existing methods. These results demonstrate the potential of electrical signal analysis combined with machine learning as a practical, rapid, non-invasive, and affordable tool for early virus detection in plants that is easy to use by non-specialists. Implementing this approach could significantly improve disease management strategies and contribute to sustainable agricultural practices by enabling timely interventions in real-world agricultural environments.

Cognitive function and its determinants in elderly Indonesians residing in long-term care: Insights from a cross-sectional study

Background Multiple medical conditions arising from reduced physical and physiological functioning, including cognitive decline, manifest in older persons. This study aims to examine the relationship between cognitive function and associated risk factors in older persons living in long-term care facilities in Indonesia. Methods This study involved 350 elderly individuals residing in long-term care institutions. A cross-sectional design utilizing an analytical survey methodology was implemented. Data were gathered via interviews employing a demographic questionnaire and the Montreal Cognitive Assessment (MoCA). Statistical analysis was conducted using SPSS (version 23). Results Univariate analysis demonstrated significant correlations between cognitive performance and gender, ethnicity, level of education, medical history, subjective memory issues, smoking habits, alcohol consumption, dietary intake of fruits and vegetables, and employment history (p < 0.05). Higher education (OR = 0.69, 95% CI: 0.56–0.84) and reduced subjective memory complaints (OR = 0.29, 95% CI: 0.20–0.44) correlated positively with enhanced cognitive function, but alcohol intake (OR = 6.79, 95% CI: 2.42–19.1) correlated with impaired cognitive function. Conclusions the level of education, subjective memory complaints, and alcohol intake are substantially correlated with cognitive performance in older persons residing in long-term care facilities. Evaluating demographic characteristics in elderly individuals can assist healthcare professionals in the early detection of cognitive impairment, facilitating prompt interventions in long-term care environments.

Hands-On Gardening in Childcare Centers to Advance Preschool-Age Children's Fruit and Vegetable Liking in Semi-Arid Climate Zone.

Hands-on gardening is linked with healthy eating behaviors, increased outdoor activities, and overall well-being, all contributing factors to preventing obesity. Although these positive associations are widely established for adults and school-aged children, little evidence can be found on how such relationships may extend to early childhood, especially in the preschool years (3-5 years). One recent study conducted in North Carolina (NC) showed that participating in hands-on gardening significantly increased preschoolers' accurate identification of fruits and vegetables (FV) and FV consumption compared to children who did not participate in hands-on gardening, but no association was found between participation in hands-on gardening and the children's liking (eating preferences) of FV. FV identification and liking during the early years may lead to lifelong healthy eating behaviors and preferences, making hands-on gardening a critical health intervention in early childhood environments, especially in childcare centers where a majority of the 13 million children in the United States between the ages of 0 and 5 spend most of their waking hours. This research aimed to investigate how hands-on gardening in childcare centers may impact preschoolers' (3-5 years old) FV knowledge (identification) and liking in a semi-arid climate zone with a high concentration of Hispanic families by conducting experimental research with eight childcare centers and one hundred forty-nine children (n = 149) in Lubbock County, located in West Texas. The findings showed changes in average liking scores are generally positive in the experimental group of children who participated in hands-on gardening (compared to the control non-gardening group), implying an improved liking. The findings indicate that the benefits of hands-on gardening in childcare centers for enhancing healthy eating preferences are evident even in a semi-arid climate zone, where high temperatures and limited rainfall present significant gardening challenges. This research underscores the importance of integrating hands-on gardening into childcare programs, highlighting its potential as an effective obesity prevention strategy not only within the US but also in other regions with similar environmental constraints.

Patient-Centered Care and Process Improvement: A Systematic Review of Impacts on Satisfaction Outcomes

Patient-centered care (PCC) has emerged as a crucial approach in enhancing healthcare delivery, focusing on the needs and preferences of patients. This systematic review explores the impact of process improvement strategies on patient satisfaction outcomes within PCC frameworks. Databases including PubMed, Scopus, and Web of Science were searched for relevant studies published between 2016 and 2024, analyzing the effectiveness of process improvement interventions such as Lean, Six Sigma, and workflow optimization in various healthcare settings. Inclusion criteria focused on studies that specifically measured patient satisfaction as an outcome. The review found that process improvement initiatives positively influence patient satisfaction by streamlining care delivery, reducing wait times, and improving communication between healthcare providers and patients. However, variations in intervention types and healthcare settings highlight the need for context-specific applications. This review underscores the importance of integrating process improvement tools into PCC practices to achieve better satisfaction outcomes and improve overall care quality. Future research should focus on long-term effects and broader applications of these interventions in diverse healthcare environments.

Health promoting lifestyle in educational setting: an intervention study in the universities

The "health promoting universities" strategy has gained popularity and a presence in the higher education system, particularly in universities. It is imperative for higher education establishments to prioritize the promotion of health within their student body and academic community. By safeguarding and boosting students' wellbeing, a strategy centered on encouraging healthy lifestyles has the potential to boost the university's contribution to health improvement and offer significant value to the community. Universities have the power to improve health promotion through community service and to make policies in this area through research and teaching. In order to investigate student behavior in relation to the standard aspects of the healthpromoting lifestyle profile, this project will undertake an intervention study involving 150 students with the goal of promoting a healthy lifestyle. A pretest and post-test control group design was employed in this investigation. The health-promoting lifestyle standard profile II questionnaire was the research instrument, and descriptive statistics and inference were employed for analysis at the .05 significant level. The outcomes demonstrated a noteworthy impact on the implemented measures. This study's findings indicated that interventions in learning environments successfully raised student behavior linked to a healthy lifestyle and its components.

Help! I Have Been Thinking to Do It Lately: Workplace Mistreatment and Suicidal Ideation Among Internship Students in Klang Valley

Workplace mistreatment, such as bullying, abusive supervision, and interpersonal conflict, is increasingly conceded as a critical issue affecting the mental health of junior professionals, particularly interns. Due to their momentary status, high expectations, and lack of support, interns are highly susceptible to negative workplace interactions that can lead to severe psychological outcomes such as including suicidal ideation. Drawing on the Fluid Vulnerability Theory, this study aims to examine the prevalence and impact of various forms of workplace mistreatment on suicidal ideation among internship students in Malaysia, providing insights for effective intervention strategies. The study used a cross-sectional research design and involved 247 internship students from the Faculty of Business and Management at UiTM Puncak Alam, Selangor, Malaysia. Data were collected through a structured online questionnaire assessing experiences of workplace bullying, abusive supervision, interpersonal conflict, and suicidal ideation. Statistical analyses, including descriptive statistics, correlation, and regression analysis, were employed to examine the relationships between the variables. The analysis revealed significant correlations between workplace bullying, abusive supervision, and interpersonal conflict with suicidal ideation. Regression models indicated that workplace bullying and interpersonal conflict were significant predictors of suicidal ideation, accentuating the critical need for targeted interventions in educational and professional environments. The findings suggest that workplace mistreatment significantly contributes to suicidal ideation among interns, highlighting the importance of developing supportive interventions and policies. Addressing workplace mistreatment through targeted programs can improve mental health outcomes for young professionals and foster healthier work environments.

Stress levels of science teachers when delivering distance education instruction in a state college during the COVID-19 pandemic

The COVID-19 pandemic has dramatically reshaped education worldwide, compelling institutions to rapidly adopt distance education models. Among those most affected are science educators, who face unique challenges in transitioning traditional classroom instruction to virtual platforms. Understanding the stressors experienced by science teachers during this shift is crucial not only for their well-being but also for the effectiveness of educational delivery. This study aims to investigate the stress levels and sources of stress experienced by science teachers at Zamboanga State College of Marine Sciences and Technology (ZSCMST) during the shift to distance education. The specific objectives were to determine the overall stress levels, identify the least stressful pre-identified causes of stress, compare the significance of different categories of stressors, and develop an intervention program based on the findings. A descriptive comparative research design with a quantitative approach was used, involving a purposive sample of 45 science teachers. Data were collected through a structured questionnaire, which included sections on demographic information, perceived stress levels, and specific stressors related to professional skills, technical skills, work-home conflict, and support systems. The data were analyzed using descriptive statistics and one-way ANOVA. The results indicated that science teachers experienced moderate to high levels of stress, with professional and technical skills being the most prominent stressors. Support systems, although somewhat helpful, still contributed to the overall stress levels. The findings highlight the need for targeted interventions to alleviate these stressors, such as professional development programs, enhanced support systems, and policies addressing work-home conflict. In conclusion, this study underscores the importance of addressing the specific stressors identified to improve the well-being of science teachers and the effectiveness of distance education. Further research is recommended to develop and evaluate interventions aimed at reducing teacher stress, enhancing teaching effectiveness, and understanding the long-term impact of these interventions in digital environments.

Improving the management of chronic kidney disease in primary care by enhancing laboratory reports with additional information and follow-up procedures

Identifying people at risk for progressive chronic kidney disease and connecting them with recommended care is crucial for providing timely and optimal treatment. The ASSIST-CKD (A programme to Spread eGFR [estimated glomerular filtration rate] graph Surveillance for the early identification, Support and Treatment of people with progressive CKD [chronic kidney disease]) trial evaluated the effect of graphical eGFR reporting to primary care physicians on late presentation to a nephrologist in the United Kingdom. Trial data were obtained from the UK Renal Registry. Although the results were neutral, the data generated from the ASSIST-CKD trial are informative and provide useful estimates of the intervention effect. The trial also provides valuable insights into the challenges of implementing complex interventions in busy health care environments, which can be used to guide the designs of future interventions.

Psychological variables related to technology-mediated intervention design in autism spectrum disorder

BackgroundAutism spectrum disorder (ASD) is a lifelong neurodevelopmental disorder characterized by persistent impairments in communication, social interaction and learning (Hodges et al., 2020). Because of its heterogeneous nature, ASD presents complex challenges, including social exclusion, school abandonment and limited access to health care. Technologies offer a pragmatic solution to overcome these limitations and to deliver therapeutic interventions in both physical and online environments. Studies have demonstrated that technology-mediated interventions (TMIs) have a positive impact on the development of capabilities of individuals with ASD. However, according to the European Parliament’s Research Service technologies for ASDs are less mature (European Parliament. Directorate General for Parliamentary Research Services., 2018) and the causes and effects of TMIs in ASD should be better understood. AimsPresent study aimed to investigate the psychological variables related to TMIs in ASD. Methods and proceduresThe study employed a survey research method with a between-subjects design involving 61 adult participants comprising therapists, teachers and parents of children with ASD and it examined psychological variables related to children with ASD, factors of technology usage, and parental and educators’ experiences. Outcomes and resultsThe analysis of the data obtained from the questionnaire focused on correlations and differences between groups, and was carried out using nonparametric tests. Kendall’s Tau B test was used to explore the relationships between variables. The Mann-Whitney nonparametric test was employed to identify differences between groups. Conclusions and implicationsThe findings revealed numerous relationships between variables and meaningful differences between the groups investigated in terms of how technologies are perceived by stakeholders involved in ASD interventions.

The Importance of the Use of Unmanned Aerial Vehicles (UAVs) in the Oil and Gas Industry

The oil and gas industry, renowned for its extensive and intricate operations, confronts numerous challenges in maintaining and inspecting its infrastructure. Traditional inspection methodologies, often reliant on manual labor, are not only time-consuming and costly but also expose workers to hazardous conditions. These conventional methods necessitate the shutdown of operations, leading to considerable productivity losses and elevated costs. Over the past decade, the advent of unmanned aerial vehicles (UAVs) has introduced a transformative technology in this sector, providing a safer, more efficient, and cost-effective alternative to traditional inspection techniques. UAVs, equipped with advanced sensors and high-resolution cameras, facilitate detailed visual and thermal inspections of critical assets such as pipelines, flare stacks, and offshore platforms. These capabilities enable companies to perform routine inspections without halting operations, thereby minimizing downtime and operational disruptions. The implementation of UAV technology has notably enhanced safety by reducing the need for human intervention in perilous environments. For instance, the traditional inspection of flare stacks necessitates workers to ascend these structures, posing significant risks. UAVs obviate this requirement by delivering real-time visual data from secure distances. Moreover, the precision and accuracy inherent in UAV inspections contribute to the early detection of defects and potential issues, allowing for prompt maintenance and repairs, which further augment safety and operational efficiency. The environmental benefits of UAV technology are also noteworthy. By diminishing the reliance on heavy machinery and extensive transportation typically associated with inspections and maintenance, UAVs aid in reducing carbon emissions, thus aligning with the industry's sustainability objectives. In summary, the integration of UAVs into the oil and gas industry's inspection protocols represents a significant technological advancement. This integration aligns with the sector's goals of enhancing safety, efficiency, and environmental sustainability, marking a pivotal step forward in the industry's evolution.

Co-Creating a Synchronous Tele-Education Program With Community-Dwelling Older Adults Using a Participatory Approach: A Mixed-Methods Study.

There is a pressing need to include older individuals in health education and uncover their specific needs. Leveraging the advantages of digitized health education, this study employed a participatory approach to engage community-dwelling older adults in co-creating a synchronous tele-education program, with dementia as the focus due to its rising prevalence and associated stigma in Singapore. Our findings demonstrate the preliminary effectiveness and feasibility of tele-education. Participants' feedback and recommendations provided valuable insights and could guide the future development of a comprehensive tele-education program. Participants' satisfaction with the co-design workshops also indicates the potential of involving older generations in the design process of user-centered digital health interventions in online environments. Moving forward, the study advocates collaboration among health institutes, government and social agencies, and community organizations, alongside systematic evaluation of the long-term impacts of tele-education, with the aim of improving health outcomes and reducing health inequalities among the older population.

Perspectives of autistic students and their teachers on self-determination and peer support

Autistic students may need individualized supports to meet their academic, social, and self-determination needs in inclusive classrooms. However, few evidence-based interventions have been developed to provide these supports for autistic adolescents, and little is known about the perceptions of autistic youth about these interventions in use in high schools. This study aimed to explore the perspectives of autistic students and their teachers on self-determination and peer support, as well as their thoughts about two evidence-based interventions used in their classroom settings: the Self-Determined Learning Model of Instruction and Peer Supports. An overall theme of empowerment was identified from student and teacher data collected across the interventions, which highlighted the importance of enabling students to access these interventions in inclusive environments. Autistic students experienced growth in understanding their identity and role as students, peers, and learners, and many felt empowered to set and achieve goals important to their future success. Teachers noted increased self-confidence and assertiveness in students pursuing their goals, highlighting the need for inclusive interventions that address positive in-school and post-school outcomes for secondary autistic students.

Modeling the dynamics of Onchocerca volvulus with the impact of environmental factors on blackfly breeding sites

Onchocerciasis is a significant public health concern, characterized by infections affecting the eyes and skin. The environmental factors contributing to its widespread occurrence are frequently undervalued, despite their significant influence. This research introduces an innovative mathematical model that utilizes fractional derivatives to examine the impact of several important variables, including temperature, river velocity, and oxygen concentration, on the breeding locations of blackflies. The objective of our study is to improve comprehension regarding the influence of environmental elements on the dynamics of onchocerciasis transmission. The efficacy of multiple vector control tactics and host screening approaches, such as skin snip biopsy and continuous detection at healthcare facilities, is evaluated through a series of comprehensive numerical experiments. Our results highlights the potential effectiveness of implementing comprehensive vector management strategies, in conjunction with frequent host screening techniques, in substantially decreasing the rates of disease transmission. Our study specifically emphasizes the efficacy of these interventions in riverine environments that are characterized by varying environmental circumstances. The findings obtained from this study have important significance for the development and execution of focused public health interventions aimed at combating onchocerciasis in areas where environmental factors are crucial in the transmission dynamics of the illness. This study provides significant insights into the worldwide endeavor to combat neglected tropical diseases, highlighting the critical importance of environmental factors and implementing integrated control techniques for efficient disease management and prevention.

OliTag-seq enhances in cellulo detection of CRISPR-Cas9 off-targets

The potential for off-target mutations is a critical concern for the therapeutic application of CRISPR-Cas9 gene editing. Current detection methodologies, such as GUIDE-seq, exhibit limitations in oligonucleotide integration efficiency and sensitivity, which could hinder their utility in clinical settings. To address these issues, we introduce OliTag-seq, an in-cellulo assay specifically engineered to enhance the detection of off-target events. OliTag-seq employs a stable oligonucleotide for precise break tagging and an innovative triple-priming amplification strategy, significantly improving the scope and accuracy of off-target site identification. This method surpasses traditional assays by providing comprehensive coverage across various sgRNAs and genomic targets. Our research particularly highlights the superior sensitivity of induced pluripotent stem cells (iPSCs) in detecting off-target mutations, advocating for using patient-derived iPSCs for refined off-target analysis in therapeutic gene editing. Furthermore, we provide evidence that prolonged Cas9 expression and transient HDAC inhibitor treatments enhance the assay’s ability to uncover off-target events. OliTag-seq merges the high sensitivity typical of in vitro assays with the practical application of cellular contexts. This approach significantly improves the safety and efficacy profiles of CRISPR-Cas9 interventions in research and clinical environments, positioning it as an essential tool for the precise assessment and refinement of genome editing applications.

A Global Overview of SVA—Spatial–Visual Ability

This study examines the global literature that looks at spatial–visual abilities (SVA) while considering the numerous differential studies, methods of evaluation designed over a century, and multiple external influences on its development. The dataset was retrieved from Google Scholar and publisher databases such as Elsevier, Taylor & Francis, Springer, etc. Only factual reports and bibliographic reviews were included in an analysis of a total of 87 documents. Each study of SVA is classified based on information, country, year, and age groupings. SVA has been extensively studied in the areas of “STEM (Science, Technology, Engineering and Mathematics) fields”, “demographic factors” and “other activities”. “Spatial visualisation” or “visual ability” is the term employed to refer to the cognitive ability that allows one to comprehend, mentally process, and manipulate three-dimensional visuospatial shapes. One of the most crucial distinct abilities involved is spatial aptitude, which aids in understanding numerous aspects of everyday and academic life. It is especially vital for comprehending scientific concepts, and it has been extensively studied. Nearly all multiple-aptitude assessments include spatial ability. It is determined that over the past two decades, the study of SVA has gained momentum, most likely because of information being digitised. Within the vast reservoir of spatial-cognition research, the majority of the studies examined here originate from the United States of America, with less than a quarter of the studies based in the Asia–Pacific region and the Middle East. This paper presents a comprehensive review of the literature on the assessment of SVA with respect to sector, year, country, age and socio-economic factors. It also offers a detailed examination of the use of spatial interventions in educational environments to integrate spatial abilities with training in architecture and interior design.

Comparing responses from a paper-based survey with a web-based survey in environmental criminology

This article aims to compare the pattern of responses obtained by a web-based and a paper-based survey used to investigate the transit safety of travellers in railway stations in Sweden. This aim is achieved by evaluating whether the response and the completion rates change as the surveys progress, assessing the effect of the survey mode on respondents’ answers (after controlling for the surveys’ internal consistency and differences in the samples), and the potential impact of the order of alternatives in multiple-choice questions on the responses. To carry out the study, a sample of 500 responses was taken from each population and later compared using a series of statistical tests. Findings indicate that despite the surveys’ high internal consistency, the prevalence of victimisation, fear of crime, and precautions detected in the web survey was higher than those found in the paper survey. The web survey shows a major drop just after the initial questions, while the paper survey shows a more stable pattern of responses, but was also affected by a single compulsory question that pushed the completion rate down. Finally, the order of alternatives in multiple-choice questions (fixed or random) did not affect the answers given by the respondents, providing a solid base for safety interventions in transit environments, regardless of survey mode. The article concludes by making suggestions for both research and practice.

AI-enhanced subsea maintenance for improved safety and efficiency: Exploring strategic approaches

As the oil and gas industry increasingly explores deeper and more remote offshore sites, the maintenance of subsea infrastructure becomes paramount. The use of Artificial Intelligence (AI) in subsea maintenance offers promising solutions to enhance safety and efficiency in these challenging environments. This review explores strategic approaches to integrating AI into subsea maintenance operations. AI facilitates predictive maintenance by analyzing vast amounts of data collected from sensors and historical maintenance records. Machine learning algorithms can detect patterns and predict equipment failures before they occur, enabling proactive maintenance scheduling. This predictive capability reduces downtime and minimizes the risk of accidents by addressing potential issues before they escalate. AI-enabled autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) play a crucial role in subsea inspections and repairs. These AI-enhanced robots can navigate complex subsea environments, perform inspections, and execute maintenance tasks with greater precision and efficiency than human divers. By reducing the need for human intervention in hazardous environments, AI-driven AUVs and ROVs significantly improve safety. Furthermore, AI algorithms can optimize maintenance schedules based on factors such as equipment condition, environmental conditions, and operational requirements. By dynamically adjusting maintenance plans, operators can maximize equipment uptime while minimizing costs and risks. This proactive approach ensures that maintenance activities are conducted at the most opportune times, reducing the likelihood of unplanned downtime and improving overall efficiency. Moreover, AI facilitates condition-based maintenance strategies, where equipment health is continuously monitored in real-time. Sensors installed on subsea infrastructure collect data on factors such as temperature, pressure, and vibration, which is then analyzed by AI algorithms to assess equipment condition. By detecting early signs of degradation or malfunction, AI enables timely interventions, preventing costly breakdowns and ensuring optimal performance. In addition to predictive and condition-based maintenance, AI-driven analytics offer insights into operational performance and asset integrity. By analyzing data from various sources, including sensors, historical records, and operational logs, AI can identify trends, anomalies, and optimization opportunities. These insights enable operators to make data-driven decisions that enhance overall system reliability and efficiency. Strategic approaches to implementing AI in subsea maintenance require collaboration between technology providers, operators, and regulatory bodies. Establishing industry standards and guidelines for AI applications in subsea operations is crucial to ensure safety, reliability, and interoperability. Furthermore, investing in research and development to enhance AI algorithms and robotics technology is essential to unlock the full potential of AI in subsea maintenance. AI-enhanced subsea maintenance offers significant benefits in terms of safety and efficiency. By leveraging predictive analytics, autonomous robotics, and real-time monitoring, operators can optimize maintenance activities, reduce downtime, and minimize risks. Strategic approaches to integrating AI into subsea operations require collaboration, investment, and a commitment to advancing technology to meet the challenges of offshore environments.

Gambaran Mindfulness Mahasiswa Psikologi UIN Walisongo dalam Menjaga Kesehatan Mental

In a state of mindfulness, a person deliberately focuses completely on one particular thing or activity, without being distracted by attention to other things. This research uses qualitative methods, especially phenomenology with the aim of understanding the picture of mindfulness of Psychology students at UIN Walisongo in maintaining mental health. Data was obtained through interviews, observation and documentation, with a population of all Psychology students at UIN Walisongo and a sample of 5 informants selected using purposive sampling. The research results showed that 4 informants had a good picture of mindfulness because they fulfilled three main aspects, namely acting with awareness, observing, and accepting without judgment. One informant, although he had a good picture of mindfulness in the first two aspects, was still lacking in the aspect of accepting without judgment. These findings provide an overview of the level of mindfulness among Psychology students at UIN Walisongo, with potential implications in the development of mental health strategies or interventions in academic environments. These results provide valuable insight for the development of mental health intervention strategies among Psychology students at UIN Walisongo.

Sources and determinants of free sugars intake by 5-year-old Australian children in the SMILE cohort.

Reducing free sugars intake is important for the prevention of dental caries and obesity in children. The study aimed to determine the amount and sources of free sugars known to contribute to dental caries, and identify sociodemographic determinants of intake by children aged 5 years in Australia. Cross-sectional analysis of dietary data from a cohort study, collected using a customized food frequency questionnaire were used to calculate free sugars intake as grams/day and percentage contribution to Estimated Energy Requirement (EER).The percent contribution of food sources to free sugars intake was derived. Sociodemographic determinants of achieving intakes within WHO thresholds (i.e., <5% and <10% Energy were explored with multinomial logistic regression. Complete data were available for 641 children (347 boys, 294 girls). Median (IQR)free sugars intake (g/day) was 31.6 (21.3-47.6) in boys and 28.1 (19.6-47.9) in girls. The median (IQR)percentage contribution to EER was 7.9 (5.4-12.7); 21% and 42% of children had intakes <5% EER and between 5% and<10%, respectively. The main sources of free sugars were: (1) Cakes, Biscuits and Cereal Bars; (2) Sweetened Milk Products (predominantly yoghurts) and (3) Desserts. Maternal university education, single-parent household, and maternal place of birth being Australia or New Zealand were associated with free sugars intake <5% EER. In conclusion, less than a quarter of 5-year-old children in the SMILE cohort achieved the WHO recommendations to limit free sugars to <5% EER. Strategies to lower free sugars intake could target priority populations such migrants, populations with lower levels of education or health literacy and identify areas for intervention in the wider food environments that children are exposed to.