Health awareness and lifestyle toward healthcare-seeking behavior among students in Universitas Advent Indonesia

Objective:Healthcare-seeking behavior(HSB)would affect the prevalence of morbidity and mortality.There are various factors that affect one's HSB.This study aimed to determine if health awareness and lifestyle might relate to HSB.Methods:A cross-sectional study was applied by using three questionnaires to determine par ticipants'health awareness,lifestyle,and HSB.This study took place in Universitas Advent Indonesia and the students were recruited to be par ticipants.Results:There were 39 par ticipants joined in this study.Most of the par ticipants were females,third-year students,and from Accounting major.Almost all participants were aware of their low risk of health issues,had a fine lifestyle,and had moderate HSB.Conclusions:One's urge to seek health care facilities was not related to their health awareness and lifestyle.There was no fur ther study to contradict with this finding at this moment.

Health Systems Strengthening to Tackle the Global Burden of Pediatric and Congenital Heart Disease: A Diagonal Approach

1 Background Congenital heart disease(CHD)is the most common major congenital anomaly,affecting approximately one in every 100 live births[1].Among congenital anomalies,66%of preventable deaths are due to CHD,and 58%of the avertable morbidity and mortality due to congenital anomalies would result from scaling congenital heart surgery services[2].Every year,nearly 300,000 children and adults die from CHD,the majority of whom live in low-and middle-income countries(LMICs)[3].Approximately 49%of all individuals with CHD will require surgical or interventional care at some point in their lifetime[4];as a result of advances in access to and the delivery of such services,over 95%of children born with CHD in high-income countries now live into adulthood[3].Here,adults have surpassed children in the number of CHD cases at a ratio of 2:1[5].

Charting the course:India's health expenditure projections for 2035

Objectives Understanding past trends and forecasting future changes in health spending is vital for planning and reducing reliance on out-of-pocket(OOP)expenses.The current study analyzed health expenditure patterns in India and forecasted future trends and patterns until 2035.Methods Data on health expenditure in India from 2000 to 2019 was collected from the Organisation for Economic Co-operation and Development(OECD)iLibrary and National Health Accounts 2019 databases.Gross domestic product(GDP)data from the World Bank was also utilized.Descriptive statistics analyzed the composition and pattern,while the exponential smoothing model forecasted future health expenditures.Results The findings revealed that expenditure made by OOP is the primary health financing source,followed by government and pre-paid private spending.The percentage of GDP allocated to total health expenditure remains stable,while the per capita health expenditure fluctuates.Variations in expenditure among states are observed,with Karnataka relying heavily on pre-paid private coverage.Future projections suggest a decline in per capita and total health expenditure as a share of GDP,with a slight increase in the government’s share.Pre-paid private expenditure per capita and OOP health expenditure as a share of the total is projected to remain relatively constant but still high in absolute terms.Conclusion The study highlights variations in health spending in India,characterized by high OOP spending,limited public coverage,and a need for investments,and reforms to improve healthcare access and equity.

Using AI and Precision Nutrition to Support Brain Health during Aging

Artificial intelligence, often referred to as AI, is a branch of computer science focused on developing systems that exhibit intelligent behavior. Broadly speaking, AI researchers aim to develop technologies that can think and act in a way that mimics human cognition and decision-making [1]. The foundations of AI can be traced back to early philosophical inquiries into the nature of intelligence and thinking. However, AI is generally considered to have emerged as a formal field of study in the 1940s and 1950s. Pioneering computer scientists at the time theorized that it might be possible to extend basic computer programming concepts using logic and reasoning to develop machines capable of “thinking” like humans. Over time, the definition and goals of AI have evolved. Some theorists argued for a narrower focus on developing computing systems able to efficiently solve problems, while others aimed for a closer replication of human intelligence. Today, AI encompasses a diverse set of techniques used to enable intelligent behavior in machines. Core disciplines that contribute to modern AI research include computer science, mathematics, statistics, linguistics, psychology and cognitive science, and neuroscience. Significant AI approaches used today involve statistical classification models, machine learning, and natural language processing. Classification methods are widely applicable to problems in various domains like healthcare, such as informing diagnostic or treatment decisions based on patterns in data. Dean and Goldreich, 1998, define ML as an approach through which a computer has to learn a model by itself from the data provided but no specification on the sort of model is provided to the computer. They can then predict values for things that are different from the values used in training the models. NLP looks at two interrelated concerns, the task of training computers to understand human languages and the fact that since natural languages are so complex, they lend themselves very well to serving a number of very useful goals when used by computers.

Shifting the Paradigm:A Fresh Look at Physical Activity Frequency and Its Impact on Mental Health,Life Satisfaction,and Self-Rated Health in Adolescents

As adolescent mental health problems are becoming a more serious issue globally,this paper explores the relationship of physical activity in adolescents and its frequency on mental health as well as examines the mediating effects of life satisfaction and self-rated health in order to provide a reference for the promotion of mental health in adolescents.A sample of 3578 Chinese high school students completed questionnaires assessing their mental health,physical activity frequency,life satisfaction,and self-rated health.The mean SCL-90 value for adolescents was found to be 1.629%,and 24.73%of adolescents had varying degrees of mental health issue.Increased physical activity frequency is positively associated with improved mental health(p<0.001).Additionally,life satisfaction and self-rated health were found to play significant mediating roles in the relationship between physical activity frequency and mental health.Specifically,low-frequency physical activity had the most pronounced mediating effect on mental health through life satisfaction,while high-frequency physical activity exerted the most significant mediating effect on mental health through self-rated health.These findings underscore the importance of promoting physical activity among adolescents and highlight the distinct pathways through which physical activity frequency can influence mental health outcomes.Further research is needed to explore these relationships in diverse populations and settings,as well as to develop targeted intervention.

Evaluation of the effects of health education interventions for hypertensive patients based on the health belief model

BACKGROUND Hypertension is a major risk factor for cardiovascular disease and stroke,and its prevalence is increasing worldwide.Health education interventions based on the health belief model(HBM)can improve the knowledge,attitudes,and behaviors of patients with hypertension and help them control their blood pressure.AIM To evaluate the effects of health education interventions based on the HBM in patients with hypertension in China.METHODS Between 2021 and 2023,140 patients with hypertension were randomly assigned to either the intervention or control group.The intervention group received health education based on the HBM,including lectures,brochures,videos,and counseling sessions,whereas the control group received routine care.Outcomes were measured at baseline,three months,and six months after the intervention and included blood pressure,medication adherence,self-efficacy,and perceived benefits,barriers,susceptibility,and severity.RESULTS The intervention group had significantly lower systolic blood pressure[mean difference(MD):-8.2 mmHg,P<0.001]and diastolic blood pressure(MD:-5.1 mmHg,P=0.002)compared to the control group at six months.The intervention group also had higher medication adherence(MD:1.8,P<0.001),self-efficacy(MD:12.4,P<0.001),perceived benefits(MD:3.2,P<0.001),lower perceived barriers(MD:-2.6,P=0.001),higher perceived susceptibility(MD:2.8,P=0.002),and higher perceived severity(MD:3.1,P<0.001)than the control group at six months.CONCLUSION Health education interventions based on the HBM effectively improve blood pressure control and health beliefs in patients with hypertension and should be implemented in clinical practice and community settings.

Planetary health risks in urban agriculture

Urban agriculture is gaining recognition for its potential contributions to environmental resilience and climate change adaptation,providing advantages such as urban greening,reduced heat island effects,and decreased air pollution.Moreover,it indirectly supports communities during weather events and natural disasters,ensuring food security and fostering community cohesion.However,concerns about planetary health risks persist in highly urbanized and climate-affected areas.Employing electronic databases such as Web of Science and PubMed and adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines,we identified 55 relevant papers to comprehend the planetary health risks associated with urban agriculture,The literature review identified five distinct health risks related to urban agriculture:(1)trace metal risks in urban farms;(2)health risks associated with wastewater irrigation;(3)zoonotic risks;(4)other health risks;and(5)social and economic risks.The study highlights that urban agriculture,while emphasizing environmental benefits,particularly raises concerns about trace metal bioaccumulation in soil and vegetables,posing health risks for populations.Other well studied risks included wastewater irrigation and backyard livestock farming.The main limitations in the available literature were in studying infectious diseases and antibiotic resistance associated with urban agriculture.

Net Effect of Short-Term Smoking Cessation on Mental Health Changes:Inverse Probability of Treatment Weighting and Difference-in-Differences Method

Background:In response to the need for research clearly demonstrating the net effect of smoking cessation on mental health status,considering the causal relationship between smoking cessation and changes in mental health status,this study was undertaken.Thus,this study aimed to examine the net effect of short-term smoking cessation on five specific mental health metrics and the overall mental health status score.Methods:We used data from the first wave of the Korean Health Panel(KHP)Survey(2011–2013,2016–2018)and focused on men aged 19 years and older,to explore the effects of smoking cessation.We compared mental health status before and after cessation among current non-smokers who had quit smoking and continuous smokers.We ensured homogeneity between the two groups via inverse probability of treatment weighting(IPTW)and employed a difference-in-differences(DID)analysis to assess changes in mental health status.This study controlled for factors that could influence mental health and explored the net effect of short-term smoking cessation through difference-in-differences model using multiple regression analysis.Results:The results showed that short-term smoking cessation significantly alleviated mental and physical stress(p<0.1),reduced experiences of frustration(p<0.01),and improved the overall mental health status score(p<0.1).Conclusion:Thus,these results highlight a meaningful link between positive health behavior changes,such as smoking cessation,and enhanced mental health.Moreover,the application of temporal variables further improved the understanding of the causal relationship between health behaviors and mental health.

State of health prediction for lithium-ion batteries based on ensemble Gaussian process regression

The performance of lithium-ion batteries(LIBs)gradually declines over time,making it critical to predict the battery’s state of health(SOH)in real-time.This paper presents a model that incorporates health indicators and ensemble Gaussian process regression(EGPR)to predict the SOH of LIBs.Firstly,the degradation process of an LIB is analyzed through indirect health indicators(HIs)derived from voltage and temperature during discharge.Next,the parameters in the EGPR model are optimized using the gannet optimization algorithm(GOA),and the EGPR is employed to estimate the SOH of LIBs.Finally,the proposed model is tested under various experimental scenarios and compared with other machine learning models.The effectiveness of EGPR model is demonstrated using the National Aeronautics and Space Administration(NASA)LIB.The root mean square error(RMSE)is maintained within 0.20%,and the mean absolute error(MAE)is below 0.16%,illustrating the proposed approach’s excellent predictive accuracy and wide applicability.

Experience of Mental Health Professionals Collaborating with Peer Supporters in a Community Mental Health Service Team

This study explored how mental health professionals collaborate with peer supporters with mental disabilities in a community mental health institution.From January 19 to February 23,2021,three 60 min interviews were conducted with six mental health professionals working at a Korean community center.The results were qualitatively analyzed and divided into four themes and eight categories.The four themes were the perceptions of and challenges in working with peer supporters with mental disabilities,conflict and confusion about working with peer supporters,forming partnerships with peer supporters,and policy support for peer supporters’job security.Participants reported vague anxiety about working with a peer supporter and difficulties with the trial-and-error process of adjusting to the role as challenging.Over time,however,they realized that they needed to make an effort to develop meaningful relationships with peer supporters and mental health professionals.Thus,through this study,we realized that there was a need to improve the system,such as building infrastructure for job stability for peer support workers and capacity building tailored to the mental disorders.Although peer supporters play various roles while working with mental health professionals,this study showed the possibility of mutual growth through communication and cooperation.These findings will help prepare systems necessary for collaboration between the two teams amidst the increasing institutionalization of peer support for mental disorders.

Validity and Reliability of a Mental Health Recovery Checklist for Young Adults

The purpose of the present study is to evaluate the internal consistency and construct validity of a self-report checklist measuring clinical mental health recovery across six key domains:family and relationships,occupation and school,physical health,mental health,spirituality,and social support systems.The Mental Health Recovery Checklist(MHRC)was developed at The Dorm,an intensive outpatient mental health treatment program for young adults in New York,NY,and Washington DC that services individuals between the ages of 18 and 35 years old.The present study is cross-sectional,as data were pulled from clients’records who were discharged between January 2018 and May 2023.Pearson Correlations and Cronbach’s alpha were used to determine scale reliability.To establish validity,an Exploratory Factor Analysis(EFA)was conducted to assess a single-factor model using Principal Axis Factoring.Cronbach’s alpha was high(α=0.88),indicating good reliability.In the EFA,all items loaded strongly on a single factor.The unidimensional structure revealed in the EFA highlights the interconnected nature of various life domains as they pertain to mental health recovery in young adults.Future research is warranted to explore whether there are additional dimensions of mental health recovery that have not been assessed in the present scale.

Shaping global health promotion:a comprehensive analysis of the 10 Global Conferences on Health Promotion Conferences(1986-2021)

Objective This study analyzed how the 10 Global Conferences on Health Promotion have played a significant role in shaping and promoting a worldwide consensus and actions on health promotion,effectively addressing diverse health challenges that evolved over different periods.Methods The textual analysis method was used in this study and text encoding was conducted to systematically examine the declarations and reports presented by the 10 Global Conferences on Health Promotion held during 1986-2021.We summarized the themes and key achievements,and key vocabulary in the conference declarations was extracted and analyzed to construct the global health promotion consensus and actions.Results The fundamental principles of the conferences are to foster consensus and initiate actions in the realm of health promotion on a global scale.The primary purpose and goal are to promote health from regional to global.Significantly,our findings highlight a transition in the primary actors driving health promotion.It underscores a shift in health promotion from being driven primarily by organizations like the World Health Organization,governments,and international bodies,to a more inclusive approach involving non-governmental organizations and the general public.This development implies that health promotion has evolved into a collective global endeavor,demanding the proactive involvement of various stakeholders,and forging new alliances in public health.Meanwhile,the coronavirus disease 2019(COVID-19)pandemic has further shaped the landscape of health promotion,underscoring the need for intensified focus on areas including disease prevention,health education,and the integration of digital health technologies,and emphasizing the importance of a multidimensional,responsive approach in public health initiatives.Conclusions Sustained collaboration and innovative strategies are pivotal to advancing health promotion globally.Countries,together with public and private entities,should intensify cooperation.Multisectoral collaboration among partners such as healthcare,education,social security,and the industry is vital for health promotion and achieving global health goals.

How University Athletics Can Impact Mental Health among Student Athletes at the University of Evansville

In recent years, the NCAA student athlete population in the United States has surpassed 500,000, and is continuing to rise each year [1]. These student athletes work their entire lives academically and athletically to reach the ultimate goal: competing in university athletics. However, when these athletes reach university, they are met with non-stop training, homework, exams, and evolving social lives. We have conducted a study at the University of Evansville evaluating how participation in university athletics may impact mental health status among these student athletes, as well as measuring players’ awareness of accessible mental health resources. Over fifty percent of participants reported experiencing at least one mental health condition while competing in their sport;eighty percent reported having knowledge of the mental health resources available to them on campus, however, nearly thirty percent of those knowledgeable reported not knowing how to access these resources. This has indicated a gap in awareness and utilization of mental health resources among student athletes at the University of Evansville.

Effects of Health Education with Problem-Based Learning Approaches on the Knowledge, Attitude, Practice and Coping Skills of Women with High-Risk Pregnancies in Plateau Areas

Objective: Given the unique cultural background, way of life, and physical environment of the Tibetan Plateau, this study aims to investigate the effects of health education using problem-based learning (PBL) approaches on the knowledge, attitude, practice, and coping skills of women with high-risk pregnancies in this region. Methods: 76 high-risk pregnancy cases were enrolled at Tibet’s Linzhi People’s Hospital between September 2023 and April 2024. 30 patients admitted between September 2023 and December 2023 were selected as the control group and were performed with regular patient education. 46 patients admitted between January 2024 and April 2024 were selected as the observation group and were performed regular patient education with problem-based learning approaches. Two groups’ performance on their health knowledge, attitude, practice and coping skills before and after interventions were evaluated, and patient satisfaction were measured at the end of the study. Results: There was no statistical significance (P P P Conclusions: Health education with problem-based learning approaches is worth promoting as it can help high-risk pregnant women in plateau areas develop better health knowledge, attitude and practice and healthier coping skills. Also, it can improve patient sanctification.

Observation on the Effect of Health Education in Health Management of Chronic Disease Patients

Objective: By the end of 2021, the aging rate of China’s population is 18.9%, and the prevalence rate of chronic diseases in the elderly population is increasing year by year, and chronic diseases have become the main causes of death and health threats of Chinese residents. Therefore, how to manage this huge group well is crucial. This paper analyzes the value of health education in the process of health management for patients with chronic diseases. Methods: 102 patients with chronic diseases treated from January 2021 to December 2021 were divided into control group and experimental group by random number table method. The control group was given routine health management while the experimental group was given health education based on the control group, and the implementation effect was analyzed. Results: After management, the scores of chronic disease knowledge in the experimental group were significantly higher than those in the control group, and the dimensions of ESCA were higher than those in the control group, and P < 0.05;Conclusion: The implementation of health education in the process of chronic disease health management is helpful to improve patients’ self-care ability and better control disease progression.

ERAD: Enhanced Ransomware Attack Defense System for Healthcare Organizations

Digital integration within healthcare systems exacerbates their vulnerability to sophisticated ransomware threats, leading to severe operational disruptions and data breaches. Current defenses are typically categorized into active and passive measures that struggle to achieve comprehensive threat mitigation and often lack real-time response effectiveness. This paper presents an innovative ransomware defense system, ERAD, designed for healthcare environments that apply the MITRE ATT&CK Matrix to coordinate dynamic, stage-specific countermeasures throughout the ransomware attack lifecycle. By systematically identifying and addressing threats based on indicators of compromise (IOCs), the proposed system proactively disrupts the attack chain before serious damage occurs. Validation is provided through a detailed analysis of a system deployment against LockBit 3.0 ransomware, illustrating significant enhancements in mitigating the impact of the attack, reducing the cost of recovery, and strengthening the cybersecurity framework of healthcare organizations, but also applicable to other non-health sectors of the business world.

Assessing the relationship between health literacy intervention and hypertension self-management:A 7-year systematic review from January 2016 to December 2022

Hypertension(HTN)is one of the most common chronic diseases affecting over 30%of the adult population globally,with a growing incidence rate.This review assesses the relationship between health literacy(HL)intervention and hypertension(HTN)self-management among people with HTN.The study design was a systematic review of empirical research articles using a well-defined strategy.Online journals were accessed through databases such as PubMed,CINAHL,Google Scholar,ProQuest,Global Health,WHOLIS,Embase,and EbscoHost,spanning from January 2016 to December 2022 as the scope of the study.Articles selected for inclusion were those published in English during the specified time frame and adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and Sample,Phenomenon of Interest,Design,Evaluation,Research Type framework for systematic review,focusing on criteria related to the sample,the phenomenon of interest,study design,evaluation,and research type.Out of 180 studies initially identified in the database search,20 studies were ultimately included in the review.The findings were reported based on these five emerging themes:Relationship between HL and HTN self-management;Effect of HL intervention on HTN self-management;Factors predicting self-care behaviors among HTN patients with low HL;Effect of HL and self-management efficacy on health-related quality of life(HRQoL);and level of self-care practices.This review highlights a relationship between HL,self-efficacy,self-care,and HRQoL,underscoring the necessity for further well-designed intervention studies focused on enhancing HL in individuals with HTN in Nigeria to enhance their quality of life.

Method“Monte Carlo”in healthcare

In public health,simulation modeling stands as an invaluable asset,enabling the evaluation of new systems without their physical implementation,experimentation with existing systems without operational adjustments,and testing system limits without real-world repercussions.In simulation modeling,the Monte Carlo method emerges as a powerful yet underutilized tool.Although the Monte Carlo method has not yet gained widespread prominence in healthcare,its technological capabilities hold promise for substantial cost reduction and risk mitigation.In this review article,we aimed to explore the transformative potential of the Monte Carlo method in healthcare contexts.We underscore the significance of experiential insights derived from simulated experimentation,especially in resource-constrained scenarios where time,financial constraints,and limited resources necessitate innovative and efficient approaches.As public health faces increasing challenges,incorporating the Monte Carlo method presents an opportunity for enhanced system construction,analysis,and evaluation.

Acceptability of Immunization against COVID-19 by the Populations of the Kasenga State Health Area in the Uvira Health Zone, DR Congo

Introduction: COVID-19 was an emerging disease putting all public health systems in countries around the world in a state of emergency. To be able to prevent its spread and morbidity and mortality, several appropriate strategies were necessary, such as vaccination. The latter has been the subject of controversy. The objective of the present study is therefore to evaluate the factors associated with the acceptance of this vaccine within the population of the Kasenga State Health Area. A result which will shed light on future strategies to be put in place for possible new vaccines. Methodology: Is a prospective and analytical cross-sectional study conducted over a period of approximately 1 month from January 5 to February 5, 2024. A survey questionnaire in Kobotoolbox was useful for collecting data. STATA software was very important for us in analyzing the data collected. Results: Prevalence of vaccination against COVID-19 among the population of the Kasenga State Health Area is 37.5% (28.4 - 45.6). The study revealed that reluctance is observed among most of the population for different reasons, including, first and foremost, the deliberate aspect of not wanting to take the vaccine (46.6%) and rumors that this antigen is dangerous and harmful (32.9%). 72.5% of respondents believe that the COVID-19 vaccine is a fabrication, unhealthy and that the disease itself never existed. The study proved that there was a statistical relationship between age (p = 0.001) and adherence to vaccination. And the refusal of respondents to recommend the vaccine to loved ones was a factor associated with non-adherence to vaccination (OR = 7.901, 95% IC [3.028 - 20.615], p = 0.000). Conclusion: Vaccination against COVID-19 was not well accepted by the population of the study site. Raising public awareness and involving community leaders and political-administrative authorities, which has not been done well, would play an important role in the good perception of the disease, of the vaccine and therefore in its adherence.

Personalized Health Monitoring Systems: Integrating Wearable and AI

The integration of wearable technologies and artificial intelligence (AI) has revolutionized healthcare, enabling advanced personal health monitoring systems. This article explores the transformative impact of wearable technologies and AI on healthcare, highlighting the development and theoretical application of the Integrated Personal Health Monitoring System (IPHMS). By integrating data from various wearable devices, such as smartphones, Apple Watches, and Oura Rings, the IPHMS framework aims to revolutionize personal health monitoring through real-time alerts, comprehensive tracking, and personalized insights. Despite its potential, the practical implementation faces challenges, including data privacy, system interoperability, and scalability. The evolution of healthcare technology from traditional methods to AI-enhanced wearables underscores a significant advancement towards personalized care, necessitating further research and innovation to address existing limitations and fully realize the benefits of such integrated health monitoring systems.