Personal Resilience in Patients with Type 2 Diabetes Mellitus: A Concept Analysis

Introduction: The most common kind of diabetes is type 2 diabetes mellitus (T2DM), which accounts for 95% of all DM cases. Microvascular and macrovascular complications burden patients physically, psychologically, socially, and economically. Patients must be resilient to live more affluent lives. Personal resilience in T2DM patients is essential in nursing practice and the development of nursing science. Understanding the concept of personal resilience is important to minimize bias and distortion in using the concept of resilience, especially in T2DM patients. Objectives: This study aimed to clarify the concept of personal resilience in T2DM patients. Methods: Walker and Avant\u27s concept analysis approach was applied. A literature search was performed using Google Scholar, ProQuest, ScienceDirect, and PubMed databases. The articles used from the databases were published between 2013 and 2022. Results: The attributes determining the level of personal resilience of T2DM patients are survival, adaptation, and recoverability. The antecedents include self-esteem, spirituality, culture, self-efficacy, optimism, hope, and age. The consequences include adherence, quality of life, effective coping, equilibrium, and illness perception. Conclusions: The three attributes, antecedents, and consequences of good personal resilience identified from the concept analysis could improve the researchers\u27 understanding of personal resilience and its implementation in the care of T2DM patients along with the complexity of the problems experienced by patients. The clarity of this concept lies in the reference for treatment that focuses on empowering the personal abilities of T2DM patients to carry out self-management to achieve prosperous quality of life

Burden and dimension of social quality of life related to Disaster Preparedness among family Caregivers with chronic kidney disease

Bacground: Caregivers of chronic diseases patients have an important role in emergency and disaster preparedness. However, the lack of understanding of the relation of the caregiver’s burden, dimension of quality of life, and disaster preparedness for personal caregivers with chronic kidney disease. Aim: This study aimed to examine caregivers\u27 burden, dimension of quality of life, and disaster preparedness of personal caregivers with chronic kidney disease. Methods: A Cross-sectional study design was adopted in this study. Accidental sample approach was used from January up to April 2024. The Zarit Burden Interview (ZBI), the World Health Organization Quality of Life-Brief Version (WHOQOL-BREF), and the Disaster Preparedness Evaluation Tool Indonesian Version (DPET-I) were used to assess the study variables. Linear regression was used to examine caregivers\u27 burden, dimension of quality of life and, disaster preparedness of family caregivers of chronic kidney diseases patients. Results: Sixty family caregivers were included in this study with a family caregiver mean aged 51.8 years old. Sixty percent are male family caregivers. There were significant factors such as caregiver burden (β=0.45; p=0.008) and social dimension of the quality of life (β=0.19; p=0.04) for disaster preparedness of family caregivers with chronic kidney disease. Conclusions: The caregiver’s burden and the social dimension of quality of life confirmed the factor associated with disaster preparedness of family caregivers with chronic kidney disease. Burden care and, social dimension of quality-of-life management for caregivers and, including family caregivers for the education of disaster preparedness are recommended to increase disaster preparedness of family caregivers with chronic kidney disease

Analysis of Adolescent Menstrual Hygiene Health Promotion

Introduction: Maintaining teenage girls\u27 organs in good physical and mental health during their menstrual cycles requires them to practice good personal cleanliness. Aim: understand how early menstruating teenagers\u27 attitudes and knowledge are affected by health promotion efforts related to menstrual hygiene. Method: Pre-Experiments with a single group Pretest-Posttest design, combined with Wilcoxon Test purposive sampling are utilized in quantitative research. Results: The study\u27s conclusions demonstrated that teenage girls\u27 knowledge and attitudes improved and had a positive effect on their menstrual hygiene after receiving health promotion. Conclusions; That early menstruating teenagers\u27 knowledge and attitudes are impacted by health promotion efforts related to menstrual hygien

Enhancing Public Health: Research on Occupational Health Measures and Employee Productivity in Manufacturing

Occupational health measures are rules and regulations designed to protect workers\u27 physical and mental health while they are at work. These precautions consist of health exams, safety procedures, environmental modification, and stress reduction plans. This research’s goal is to investigate the impact of occupational health measure (OHM), work environment, and employee productivity, to investigate the significant variable in manufacturing. A total of 54 respondents were provided. Questions were used to get the data. SPSS software is used. ANOVA, chi-square test, regression analysis test, Pearson correlation coefficient (PCC) test, and Cronbach’s alpha (α) test are employed in the analysis of the outcomes. The findings indicate that OHM, employee productivity, and work environment in enhancing public health are simultaneously significant to manufacturing. OHM and employee productivity are the significant factor that affects manufacturing. By mitigating health hazards and advancing employee welfare, businesses establish more secure work environments that promote increased productivity and effectiveness. In the end, successful public health programs support both overall corporate performance and employee happiness

Effect of Pranayama Exercises on Stage 1 Hypertension-Related Aggression

This study highlighted the effect of Pranayama exercises on stage 1 hypertension related aggression patients. This study explores the intricate relationship between aggression and Stage 1 hypertension, with a specific focus on the impact of breathing exercises, particularly Pranayama, on hypertension-induced aggression. Hypertension, a prevalent cardiovascular condition, is increasingly recognized for its bidirectional association with psychological factors, including aggression. The study investigates individuals with Stage 1 hypertension, characterized by elevated blood pressure, acknowledging its significant prevalence and potential implications for cardiovascular health. Utilizing a quantitative cross-sectional research design, the study examines the correlation between Pranayama practice and aggression in a sample of 120 participants. The data analysis reveals noteworthy correlations between Buss-Perry Aggression Questionnaire (BPAQ) scores in different yoga conditions, suggesting a potential association between engaging in yoga, especially under professional guidance, and lower aggression levels. The discussion interprets these findings, emphasizing the role of expert instruction in enhancing the stress-reducing and aggression-reducing effects of yoga. The study contributes valuable insights into the potential benefits of Pranayama in managing hypertension-induced aggression, paving the way for further targeted research in this evolving field

Mechanical Engineering Solutions For Healthcare Accessibility And Affordability In Public Health

The commercial outlook for the healthcare industry is bright these days, both globally and in India. The need for prosthetics, implants, and surgical equipment, among other specialised or customised medical devices, is growing daily. Investigating personalised medical gadgets is crucial to take advantage of upcoming business prospects. In order to expand this commercial opportunity in terms of customised medical devices, additive manufacturing, or AM, can be extremely important. Further investigation into the public healthcare system revealed that the laparoscopic surgical method necessitates the use of specially made, ergonomic surgical instruments. Because laparoscopic surgery is done by staring at a monitor rather than making direct touch with the organs like open surgery does, surgeons doing this sort of procedure often lack hand-eye coordination. Surgical mistakes were discovered with this surgical method. The laparoscopic surgical instrument is the only interface device, and it must be designed to improve coordination and feel responsive during the procedure

Public Health Policy and Advocacy: A Management Perspective

The division of authority and accountability between the federal government and the states is one of the public health governance system\u27s most significant advantages and concurrent problems. The policy management suggests that the best course of action is to develop institutional frameworks for consultative decision-making, allocate resources in an equitable manner, and implement policies in a coordinated manner. The proposed methods include improved fiduciary risk management, capacity building, technical support for state-specific strategic plans, active local self-government engagement, and community-based health output monitoring. The idea put forth in this paper is that HR rules, which are centred around the requirement that individuals with a background in public health management hold high positions in the field, should be tightened

Prediction of Drinking Water Quality for Effective Public Health Management to Avoid Water Borne Diseases

The issue of water quality failure is a persistent global concern that leads to sickness, toxicity, the spread of diseases, and loss of life in metropolitan areas. Various physical, functional, and ecological factors may affect drinking water quality. These concerns include the incursion of pollutants into water pipes, leakage, the formation of disinfectant waste products, the penetration of chemicals or microbes, and pollution. Water-borne Diseases (WD) have emerged as a significant global public health issue. It is imperative to forecast the quality of drinkable water by utilizing an automated model that provides a preventive strategy that may be created to enhance public health management (PHM). This study forecasted the Drinking Water Quality (DWQ) to promote Public Health Management (PHM) strategies to prevent WD. Convolutional Neural Network (CNN) with Inverse Distance Loaded (IDL) interpolation has been used to forecast DWQ. One hundred five water specimens from the research region underwent thorough examination via physiochemical and microbiological analyses. The tested characteristics were pH, turbidity, temperature, fluoride concentration levels, and bacterial counts (Faecal Coliforms) to prevent WD. The test findings indicated that the CNN-IDL projected 35% of water specimens from the domestic pipeline network had bacteria levels below what the WHO considers acceptable. Also, about 57% of the samples from the home pipeline network met the fluoride reference values set by the WHO. The sanitary assessment rating clearly showed that the lack of appropriate measures to protect against multiple barriers resulted in declining water quality for users. The findings of this research will be valuable to administrators in implementing essential strategies to avoid WD before it significantly impacts public health

Cybersecurity Technologies for Protecting Social Medical Data in Public Healthcare Environments

The growing digitization of healthcare systems has made safeguarding sensitive social medical data a crucial priority. The primary objective of this study is to utilize sophisticated cybersecurity technologies, particularly machine learning (ML) algorithms, to improve the security of Electronic Health Records (EHR) in public healthcare settings. The proposed approach presents an innovative technique that merges the advantages of isolation forest and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) [IF-DBSCAN]algorithms for anomaly detection, achieving an impressive accuracy rate of 0.968. The study examines the difficulties presented by the distinct characteristics of healthcare data, which includes both medical and social information. The inadequacy of conventional security measures has necessitated the incorporation of sophisticated machine learning algorithms to detect abnormal patterns that may indicate potential security breaches. The hybrid model, which combines isolation forest and DBSCAN, seeks to overcome the constraints of current anomaly detection techniques by offering a resilient and precise solution specifically designed for the healthcare domain. The isolation forest is highly proficient at isolating anomalies by leveraging the inherent attributes of normal data, whereas DBSCAN is adept at detecting clusters and outliers within densely populated data regions. The integration of these two algorithms is anticipated to augment the overall anomaly detection capabilities, thereby strengthening the cybersecurity stance of healthcare systems. The proposed method is subjected to thorough evaluation using real-world datasets obtained from public healthcare environments. The accuracy rate of 0.968 demonstrates the effectiveness of the hybrid approach in accurately differentiating between normal and anomalous activities in EHR data. The research makes a valuable contribution to the field of cybersecurity in healthcare and also tackles the increasing concerns related to the privacy and reliability of social medical data. This research introduces an innovative method for protecting social medical data in public healthcare settings. It utilizes a sophisticated combination of isolation forest and DBSCAN to detect anomalies. The method\u27s high accuracy in the evaluation highlights its potential to greatly improve cybersecurity in healthcare systems, thereby guaranteeing the confidentiality and integrity of sensitive patient information. DOI: https://doi.org/10.52710/seejph.48

The Psychometric Device of the Scale of Cultural Intelligence in the Context of Social Media for Indonesian Adolescents

Through social media, any individual can interact with individuals from numerous cultural foundations. One element that becomes significant in maintaining amicable correspondence on social media is cultural intelligence. As a psychometric device, the objective of this examination was to make and approve the Scale of Cultural Intelligence in the Context of Social Media (SCIcSM). Very little exploration has been finished to foster a device for assessing cultural intelligence in the setting of social media. A trial of develop legitimacy was administered to 1,000 understudies in Malang, Indonesia. The 20-thing SCIcSM is delegated great, careful, and proper with the model according to the information investigation using the Rasch model. The SCIcSM was viewed as a pertinent and reliable instrument for assessing understudies\u27 social media-based cultural intelligence. The results and commitments to the advancement of direction and counseling administrations are shrouded in this article