Identify Health Issues Research Articles

Automotive workers: the role of coordinative and conditional abilities as effectiveness wellness indicator.

Noncommunicable diseases are on the rise due to sedentary and unhealthy lifestyles. The World Health Organization (WHO) and the American College of Sports Medicine (ACSM) recommend maintaining a healthy diet and engaging in regular physical activity, particularly in the workplace. Prolonged and repetitive work tasks can result in extended sick leave and decreased productivity while at work. Therefore, it is important to identify predictive factors that can act as indicators of the health status of employees. Utilizing motor abilities assessment tests can help to identify health issues at an early stage. Promoting preventive health measures is crucial for addressing chronic diseases and enhancing overall occupational well-being. The purpose of the study was to characterize workers' motor abilities and fitness levels and identify potential indicators. A total of 605 workers participated in this study, including 529 male participants with a height of 176 ± 0.09 cm and a body mass of 75.9 ± 14.1 kg and 77 female participants with a height of 162 ± 0.11 cm and an average body mass of 58.9 ± 11.1 kg. These individuals were enrolled during an Italian automotive corporation's mandatory annual medical check-up. The participants were categorized into three groups based on their occupational roles: blue-collar, manager, and white-collar groups. The participants underwent motor abilities assessment tests for upper-limb strength, trunk flexibility, and reaction time. The blue-collar group reported the best results in upper-limb strength (93.3 kgf ± 18.60), but had the worst results in flexibility (21.7 cm ± 7.90), total reaction time (58.8 s ± 4.74); and average intermedium (0.68 ms ± 0.11). The white-collar group reported the best result in flexibility (23.7 cm ± 8.94) and reaction time (48.5 s ± 4.38; 0.64 ms ± 0.09). Despite being frequently used to assess health status, handgrip measurements may not provide accurate differentiations because of the common use of blue-collar workers for tasks that require upper-limb strength. In contrast, reaction time metrics appear more reliable and discriminative in evaluating a worker's physical fitness.

Digital literacy competencies among students in higher learning institutions in Kazakhstan

Purpose This study aims to assess the digital literacy competencies among students in higher learning institutions in Kazakhstan. Design/methodology/approach A survey design was used. Simple random sampling was used to draw sample. Primary data were collected using Web/online questionnaires (Google Form). A total of 370 online questionnaires were disseminated to the respondents to their email addresses. Quantitative data collected were analyzed using MS Excel 2010. Thus, descriptive statistics were computed and the results were further presented in tables, charts and figures. Findings Results reveal that students are very competent in using digital technologies to communicate and share their educational digital contents, whereas they indicate moderate competence and incompetence in other essential digital literacy skills crucial for their academic pursuits. Furthermore, this study revealed that students frequently use digital technologies for educational purposes, with statistical analysis [t(381) = 4.562, p < 0.00001, two-tailed] indicating a significant difference between the extent and purpose of their digital usage. Moreover, findings identified health issues, technical issues and the constantly changing of hardware and software as primary challenges faced students when engaging with digital technologies. Originality/value This study is new in the context of Kazakhstan analyzing the digital literacy competencies among students, with a particular focus on elucidating the five fundamental facets of such competencies. This study therefore, recommends the implementation of comprehensive and consistent training programs aimed at imparting necessary digital literacy skills to students.

How enabling factors determine unmet healthcare needs? A panel data approach for countries

Health service need refers to the essential care required to achieve optimal health outcomes within resource constraints. When necessary services to address identified health issues are not received, unmet needs arise. This research focuses on the determinants of unmet healthcare needs across the 34 countries within the European region from 2011 to 2019, focusing on Andersen's Behavioral Model's enabling factors. We employed a static and robust panel regression model using Stata 14.0 software. Key determinants analyzed include GDP per capita, urbanization rate, and physicians per capita. Findings reveal that lower GDP per capita and lower urbanization rates are significantly correlated with higher levels of unmet healthcare needs, highlighting income level and geographical accessibility as critical factors. Additionally, a higher number of physicians per capita is associated with reduced unmet healthcare needs, indicating the importance of healthcare resources in addressing healthcare access gaps. These findings underscore the importance of targeted healthcare policies that address income level, improve healthcare accessibility, and enhance healthcare resource allocation to reduce unmet healthcare needs effectively. These findings equip policymakers and administrators with empirically grounded insights to comprehend the factors contributing to unmet healthcare needs and to develop policies aimed at addressing this challenge.

Exploring individual responses to welfare issues in growing-finishing pig feeding behaviour

The feeding behaviour of individual growing-finishing pigs can be continuously monitored using sensors such as electronic feeding stations (EFSs), and this could be further used to monitor pig welfare. To make accurate conclusions about individual pig welfare, however, it is important to know whether deviations in feeding behaviour in response to welfare issues are shown only on average or by each individual pig. Therefore, this study aimed (1) to quantify the individual variation in feeding behaviour changes in response to a range of welfare issues, and (2) to explain this individual variation by quantifying the responses to welfare issues for specific subgroups of pigs. We monitored four rounds of 110 growing-finishing pigs each (3–4 months per round). We collected feeding behaviour data using IVOG® EFSs and identified health issues and heat stress using climate sensors and twice-weekly health observations. For each pig, a generalised additive model was fitted, which modelled feeding behaviour through time and estimated the effect of each welfare issue that the pig had suffered from. The range of these effect estimates was compared between pigs to study the individual variation in responses. Subsequently, pigs were repeatedly grouped using physical and feeding characteristics, and, with meta–subset analysis, it was determined for each group whether a deviation in response to the welfare issue (i.e. their combined effect estimates) was present. We found that the range in effect estimates was very large, approaching normal distributions for most combinations of welfare issues and feeding variables. This indicates that most pigs did not show feeding behaviour deviations during the welfare issue, while those that did could show both increases and reductions. One exception was heat stress, for which almost all pigs showed reductions in their feed intake, feeding duration and feeding frequency. When looking at subgroups of pigs, it was seen that especially for lameness and tail damage pigs with certain physical characteristics or feeding strategies did consistently deviate on some feeding components during welfare issues (e.g. only relatively heavier pigs reduced their feeding frequency during lameness). In conclusion, while detection of individual pigs suffering from heat stress using feeding variables should be feasible, detection of (mild) health issues would be difficult due to pigs responding differently, if at all, to a given health issue. For some pigs with specific physical or behavioural characteristics, nevertheless, detection of some health issues, such as lameness or tail damage, may be possible.

Managing weaning issues in lambs and ewes. Part 2: management of ewes following weaning

Background: To ensure optimum flock fertility in the subsequent breeding season, it is important to ensure that ewes are in good health following weaning. Drafting (the period between weaning and tupping where ewes are sorted for culling) is a key time in the flock year to ensure only the most productive ewes are retained for breeding. Identifying health issues soon after weaning allows time for recovery, or for replacements to be sourced if necessary. Postweaning is also often an important time for the identification of underlying endemic diseases within a flock – the stress of pregnancy and lactation may exacerbate clinical signs and guide the clinician towards the requirement for diagnostic investigations.Aim of the article: This article, the second in a two‐part series on managing weaning issues in lambs and ewes, provides information about common health conditions that can be identified in the postweaning period which could affect subsequent reproductive performance of ewes. Examination of culling data of ewes can provide practitioners with information about the health of the flock and potential underlying health conditions to investigate. Information regarding how to investigate these conditions is also presented. Part one of this series, which was published in the January/February issue of In Practice (Forster and Falder 2024), focused on the common issues encountered by both ewes and lambs at weaning time and how to minimise these problems.

Validation of Quality-of-Life assessment tool for Ethiopian old age people.

A valid and reliable quality of life (QOL) assessment tool is critical for identifying health issues, evaluating health interventions, and establishing the best health policies and care plans. One of the tools for this goal is the World Health Organization's Quality of Life Old module (WHOQOL-OLD). It is validated and available in more than 20 languages globally, except Amharic (the widely spoken language in Ethiopia). As a result, the purpose of this study was to translate it into Amharic language and validate it among the elderly people in Bahir Dar City, Northwestern Ethiopia. This was a cross-sectional study conducted among 180 community-dwelling old age people in Bahir Dar City, Ethiopia, from January 16 to March 13, 2021. Psychometric validation was achieved through Cronbach's alpha of the internal consistency reliability test and construct validity from confirmatory factor analysis. The study participants were aged between 60 and 90 years, with a mean age of 69.44. Females made up 61.7% of the study population, and 40% of them could not read or write. The results showed a relatively low level of quality of life, with a total transformed score of 58.58±23.15. The Amharic version of the WHOQOL-OLD showed a Cronbach's Alpha value of 0.96 and corrected item-total correlations of more than 0.74. The confirmatory factor analysis confirmed the six-domain model with a chi-square (X2) of 341.98 and a p-value less than 0.001. The comparative fit index (CFI) was 0.98, Tucker-Lewis's index (TCL) was 0.97, and the root mean square error of approximation (RMSEA) was 0.046. The Amharic version of the WHOQOL-OLD indicated good internal consistency reliability and construct validity. The tool can be utilized to provide care to Ethiopian community-dwelling old age people.

Chronic Stress Indicator: A Novel Tool for Comprehensive Stress Analysis.

Extensive research has highlighted the strong association between chronic stress and negative health outcomes. This relationship is influenced by various factors, including sociobehavioral, environmental, and genetic and epigenomic forces. To comprehensively assess an individual's stress levels, we propose the development of the Chronic Stress Indicator (CSI), a novel comprehensive multifaceted tool that incorporates key biological, anthropometric, behavioral, and socioeconomic factors. The objective of this study is to assess the effectiveness of the CSI compared to Allostatic Load (AL), a type of chronic stress, in identifying health issues related to stress. The objective of this research is to evaluate the performance of the Chronic Stress Indicator (CSI) versus Allostatic Load (AL) in detecting adverse health outcomes within the U.S. demographic aged 20-49. The information used for this study was sourced from the National Health and Nutrition Examination Survey (NHANES), carried out from 2001 to 2004. Logistic regression modeling was employed to calculate odds ratios and confidence intervals. The Wilcoxon rank-sum test was employed to assess differences in means, whereas the chi-square test, accompanied by Cramer's V statistic, was used to examine the association among categorical variables. Additionally, the relationship between continuous variables was analyzed using Pearson's correlation coefficient. Our association tests show that the length of occupation activity and health status were among the strongest associations to CSI risk. Based on our logistic regression models, age and sex were found to be significant factors in determining AL. We also found that age, smoking, and longest occupation activity were significant factors of CSI risk. These findings suggest a need for individuals to limit smoking as it may lead to higher overall stress despite its common use as a coping mechanism for stress. We should also review the level of occupational activity a job has before continuously working on it as this may also lead to higher cumulative stress.

Machine Learning Applications in Healthcare: Current Trends and Future Prospects

The integration of machine learning (ML) in healthcare has witnessed remarkable advancements, transforming the landscape of medical diagnosis, treatment, and overall patient care. This article provides a comprehensive review of the current trends and future prospects of machine learning applications in the healthcare domain.The current landscape is characterized by the utilization of ML algorithms for disease diagnosis and risk prediction, personalized treatment plans, and efficient healthcare resource management. Notable applications include image recognition for radiology and pathology, predictive analytics for disease prognosis, and the development of precision medicine tailored to individual patient profiles.This review explores the evolving role of ML in improving patient outcomes, enhancing clinical decision-making, and optimizing healthcare workflows. It delves into the challenges faced in integrating ML into existing healthcare systems, such as data privacy concerns, interpretability of complex models, and the need for robust validation processes.Additionally, the article discusses future prospects and emerging trends in ML healthcare applications, including the potential for predictive analytics to preemptively identify health issues, the integration of wearable devices and remote monitoring for continuous patient care, and the intersection of ML with genomics for personalized medicine.The overarching goal of this article is to provide healthcare professionals, researchers, and policymakers with insights into the current state of ML applications in healthcare, along with an outlook on the transformative potential that machine learning holds for the future of healthcare delivery and patient outcomes.

Living the good life? A systematic review of behavioural signs of affective state in the domestic horse (Equus caballus) and factors relating to quality of life. Part 2: Horse-human interactions.

Quality of life is dependent upon the extent to which behavioural needs are met, and the balance between pleasant and unpleasant lifetime experiences. In Part II of this systematic review, articles (n = 109) relating to horse-human interactions were reviewed to identify behavioural evidence of their positive or negative impact on the horse. The number of articles (n = 22) relating to the recognition of pain in horses, indicated the importance of identifying health issues, which are also likely to increase the aversiveness of interactions. These and articles relating to emotional reactivity testing in horses (n = 19), the behaviour of horses during handling and management procedures (n = 17), behaviour of the horse when ridden (n= 17), non-procedural horse-human interactions (n = 13), horse behaviour during transportation (n = 12) and behaviour during training other than when ridden (n = 9) were reviewed. During most interactions, horse behaviour is controlled and/or restricted by the human, masking negative or positive signs, and may be confounded by factors including fear and individual differences. In situations involving freedom of movement, positive experiences of horses with humans were associated with approach behaviour, negative ones with avoidance, but training could affect both. Undoubtedly, change is needed to reduce the extent to which interactions with humans are unpleasant for the horse. Only when the needs of the horse are fulfilled and interactions with humans are predominantly pleasurable will their quality of life improve.

A study on health issues of leather industry workers

Leather manufacturing company workers faced so many health issues. This study explores to investigate the health issues faced by workers in a leather manufacturing company located in Vaniyambadi District. Through a comprehensive assessment of the workers' health, including surveys, interviews, and analysis of medical records, the study identifies the prevalent health concerns and explores potential contributing factors. The findings reveal that workers in the leather manufacturing company experience a range of health issues, with body ache, joint pain, and headache being the most common problems reported. Other health issues identified include teeth problems, irritation in feet, urinary tract discomfort, giddiness, eye irritation, chest irritation, stomach discomfort, and various other symptoms. The study assesses the work environment and job tasks to identify potential occupational health risks that may contribute to the observed health issues. Factors such as long working hours, exposure to hazardous substances, ergonomic challenges, and inadequate safety measures are examined. Based on the study findings, recommendations are provided to address the identified health issues. These include implementing ergonomic improvements, enhancing health and safety training programs, providing personal protective equipment, and fostering a culture of health and well-being within the organization. The results of this study contribute to the understanding of health issues among workers in the leather manufacturing industry, providing valuable insights for the company and relevant stakeholders to enhance occupational health and improve worker well-being.

Health problems experienced by women during the first year postpartum: A systematic review.

During pregnancy and childbirth, health issues can arise that can negatively influence women's postpartum health. Although it is imperative to identify these health problems in order to tailor care to women's needs, they often remain unrecognized. A comprehensive overview of postpartum health problems does not exist in the current literature. This systematic review aimed to explore the health problems experienced by women residing in high-income countries during the first year postpartum. Scientific databases were searched for articles on health problems experienced by women during the first year postpartum, published between January 2000 and 2 July 2021. Studies investigating the experiences of healthy women from the age of 18 years, residing in high-income countries, who gave birth to a healthy neonate, were included. Identified health issues were divided into five categories and presented in an overview. A total of 25 articles were eligible for inclusion. In all, 83 health problems were identified and divided into five different categories (physical health problems, mental health problems, social health problems, problems related to feeding the infant, and other challenges). Common health issues postpartum were exhaustion, urinary incontinence, painful breasts, depressive symptoms, problems related to sexuality and sleep, lack of social support, and problems with breastfeeding. This systematic review contributes to a wider understanding of postpartum health problems and can be used to adapt healthcare to women's needs. It distinguishes itself from previous studies by the wide variety of identified health problems and its specific focus on women's experiences in the postpartum period.

Intelligent Health: Progress and Benefit of Artificial Intelligence in Sensing-Based Monitoring and Disease Diagnosis.

Technology has progressed and allows people to go further in multiple fields related to social issues. Medicine cannot be the exception, especially nowadays, when the COVID-19 pandemic has accelerated the use of technology to continue living meaningfully, but mainly in giving consideration to people who remain confined at home with health issues. Our research question is: how can artificial intelligence (AI) translated into technological devices be used to identify health issues, improve people's health, or prevent severe patient damage? Our work hypothesis is that technology has improved so much during the last decades that Medicine cannot remain apart from this progress. It must integrate technology into treatments so proper communication between intelligent devices and human bodies could better prevent health issues and even correct those already manifested. Consequently, we will answer: what has been the progress of Medicine using intelligent sensor-based devices? Which of those devices are the most used in medical practices? Which is the most benefited population, and what do physicians currently use this technology for? Could sensor-based monitoring and disease diagnosis represent a difference in how the medical praxis takes place nowadays, favouring prevention as opposed to healing?

Health Issues Among Nepalese Youth: A Literature Review.

Nepal is one of the world's least-developed countries. Nepalese children are often vulnerable to a lack of resources which leads to suboptimal levels of health in turn. This review article aims to identify health issues and inequities faced by school-aged children greater than five years old in Nepal. A comprehensive search of the literature was conducted in PubMed and Global Health databases to gather relevant studies. Inclusion and exclusion criteria were applied to select appropriate articles, and 35 full-length articles were reviewed in-depth. The literature supports the association between inadequate resource distribution among Nepalese children and poorer health outcomes compared to youth in developed countries. The key health issues of Nepalese youth identified in the literature consist of diarrheal illness, stunted growth, dental caries, visual impairment, poor mental health, and low health literacy. This review article aims to identify key health issues affecting Nepalese youth as well as propose interventions that can lead to an enhanced quality of life in this population.

Changes in Kidney Function Among Malaysian Adolescents and Its Determinants

The health and wellbeing of adolescents are often neglected, including the knowledge of chronic kidney disease (CKD), especially in its early stages. A total of 607 adolescents were recruited from the Malaysian Health and Adolescents Longitudinal Research Team (MyHeART) study, a prospective cohort study conducted from March 2012 to May 2016 that explored the noncommunicable diseases (NCDs) risk factors among 13 to 17 years old students in 3 states of Peninsular Malaysia. Students who participated in all 3 data collection periods in 2012, 2014, and 2016 with kidney function assessment across all 3-time points were included in the current study. The students' estimated glomerular filtration rate (eGFR) was calculated from isotope-dilution mass spectrometry-traceable Schwartz's equation and categorized based on Kidney Disease: Improving Global Outcomes (KDIGO) classification. Changes in kidney function were examined, and the longitudinal relationship between eGFR and multiple NCD risk factors was analyzed using the generalized estimating equation (GEE). The prevalence of decreased eGFR (60-89 ml/min per 1.73 m2) among the students increased from 6.1% (2012) to 30.0% (2014) and 40.2% (2016). Based on the GEE, the student's eGFR decreased over time, with a steeper decline during early to midadolescence. Males and rural students had lower eGFR compared to their counterparts. Students who are morbidly obese had lower eGFR than those with normal body mass index (BMI). Protein consumption also has a potential moderating effect on eGFR in adolescents. Kidney function changes can be detected as early as adolescence and are likely attributable to multiple NCD risk factors. Therefore, more comprehensive prevention efforts from various stakeholders are needed to identify health issues like CKD.

Are pregnancy outcomes affected by the lack of legal status? A demographic study based on 850,288 live births in Switzerland

BackgroundIn the context of increased global mobility, it is fundamental to understand migrants’ needs and how governments can ensure equal health opportunities for both regular and irregular migrants simply by applying low-cost primary health care measures. To identify health issues in which to intervene, this study analysed the impact of a mother’s lack of legal status, together with available biological and socioeconomic characteristics, on four indicators of adverse perinatal outcomes in Switzerland.MethodsBased on the exhaustive records of the Swiss Federal Statistical Office (FSO) for its Vital Statistics (BEVNAT), different indicators of birth outcomes, including preterm birth (PTB), low and very low birth weight (LBW and VLBW), and small for gestational age (SGA), were analysed using logistic regressions on live births occurring from 2005 to 2018. These four adverse outcomes were defined as dependent variables. Statistical analysis was performed using the statistical package STATA, version 17.ResultsSelected pregnancy outcomes were conversely affected by an irregular legal status. Analysis run on the final sample showed that, compared to the neonates of mothers who are non-migrant legal residents in Switzerland, newborns of irregular migrants have higher risks of PTB (aOR 1.18 95% CI [1.05-1.32], p<0.01) and VLBW (aOR 1.43 [1.13-1.81], p < 0.01]). In contrast, we observed that in both irregular and regular migrant groups, the odds of SGA were lowered (aOR .76 [.68-.85] p<0.01) and aOR.93 [.91-.94], p< 0.01, respectively). A similar effect was observed when controlling for any adverse outcome (any AOs) (aOR .90 [.83-.99] p 0.022; and aOR .93 [.91-.94] p< 0.01, respectively).ConclusionsOur results, together with those from the available literature, call for a more comprehensive assessment of all pregnancy outcomes as well as of the social determinants of health for which the analysis was adjusted. Given the complexity of the migration phenomenon, future studies should account for local structural restrictions in the organization of care, the extension of a person’s network as a means of health care accessibility, diverse backgrounds and cultures and the recent arrival status of migrants. This would allow researchers to understand the long-term impact of social determinants of health on the wellbeing of a mother and child and take them into account in the adoption of health policies.

Validation of Quality-of-Life assessment tool for Ethiopian old age people

Background: A valid and reliable quality of life (QOL) assessment tool is critical for identifying health issues, evaluating health interventions, and establishing the best health policies and care plans. One of the tools for this goal is the World Health Organization's Quality of Life Old module (WHOQOL-OLD). It is validated and available in more than 20 languages globally, except Amharic (the widely spoken language in Ethiopia). As a result, the purpose of this study was to translate it into Amharic language and validate it among the elderly people in Bahir Dar City, Northwestern Ethiopia. Methods: This was a cross-sectional study conducted among 180 community-dwelling old age people in Bahir Dar City, Ethiopia, from January 16 to March 13, 2021. Psychometric validation was achieved through Cronbach’s alpha of the internal consistency reliability test and construct validity from confirmatory factor analysis. Results: The study participants were aged between 60 and 90 years, with a mean age of 69.44. Females made up 61.7% of the study population, and 40% of them could not read or write. The results showed a relatively low level of quality of life, with a total transformed score of 58.58±23.15. The Amharic version of the WHOQOL-OLD showed a Cronbach’s Alpha value of 0.96 and corrected item-total correlations of more than 0.74. The confirmatory factor analysis confirmed the six-domain model with a chi-square (X2) of 341.98 and a p-value less than 0.001. The comparative fit index (CFI) was 0.98, Tucker-Lewis’s index (TCL) was 0.97, and the root mean square error of approximation (RMSEA) was 0.046. Conclusion: The Amharic version of the WHOQOL-OLD indicated good internal consistency reliability and construct validity. The tool can be utilized to provide care to Ethiopian community-dwelling old age people.

Identifying behavioural barriers and facilitators to engaging men in a community-based lifestyle intervention to improve physical and mental health and well-being

BackgroundThere are few community-based lifestyle interventions designed to target physical and mental health of men. We conducted a qualitative focus group study with men to explore their perceived barriers and facilitators to uptake and engagement with interventions designed to improve their physical and mental health and wellbeing.MethodsA volunteer sampling approach (advertisements posted on a premier league football club’s social media) was used to recruit men aged 28 to 65 years who were interested in improving their physical and/or mental health and wellbeing. Focus group discussions were conducted at a local premier league football club to 1) explore men’s perceived barriers and facilitators to uptake of community-based interventions; 2) identify health issues considered important to address; 3) obtain participant views on how to best engage men in community-based interventions; and 4) use the findings to inform the development of a multibehavioural complex community-based intervention (called ‘The 12th Man’).ResultsSix focus group discussions were conducted (duration 27 to 57 min) involving 25 participants (median age 41 years, IQR = 21 years). Thematic analyses generated seven themes: ‘Lifestyle behaviours for both mental health and physical health’; ‘work pressures are barriers to engaging with lifestyle behaviour change’; previous injuries are barriers to engagement in physical activity and exercise’; personal and peer group relationships impact on lifestyle behaviour change’; relationships between body image and self-confidence on mastery of skills for physical activity and exercise’; building motivation and personalised goal setting’; and ‘credible individuals increase uptake and continued engagement with lifestyle behaviour change’.ConclusionsFindings suggest that a multibehavioural community-based lifestyle intervention designed for men should promote parity of esteem between physical and mental health. It should also acknowledge individual needs and preferences, emotions in the context of goal setting and planning, and be delivered by a knowledgeable and credible professional. The findings will inform the development of a multibehavioural complex community-based intervention (‘The 12th Man’).

Case Study of Nursing Care For An Elderly Family With Hypertension Problems

Introduction: Hypertension is one of the health issues brought on by degenerative processes that many elderly people experience. The estimated number of hypertension cases in Indonesia is 63,309,620 people, with (55.2%) hypertension occurring in the 55-64 year age group, then (45.3%) in the 45-54 year age group, and (31.6%) in the age group 31-44 years. To reduce these cases, family nursing care is one strategy used, with a focus on five family health tasks: identifying health issues, making decisions about health issues for sick families, caring for sick families, changing the environment inside and outside the home that affects family health, and using health service facilities. Objective: To describe family nursing care at the growth and development stages of elderly people with hypertension problems. Method: Using descriptive methods with a case study approach. Results: Based on a case study conducted on five elderly families with hypertension, Diagnosis: Risk of Ineffective Cerebral Perfusion Disorders, Knowledge Deficit About Hypertension Control, Non-Compliance, Ineffective Family Health Management, and Ineffective Health Management Conclusion: The nursing care provided to the family resulted in the family nursing problems that emerged being partially resolved.

Study on Water Pollution Impacts on Human Health from Water Usage based on Household’s Perception at Setiu River Basin

Anthropogenic activity near the Setiu River basin can have a detrimental effect on people who use water in the area in terms of their body health. This study was important to assess the impact of river water degradation based on household perception so that the related parties can take intensive action to address this problem on the impact of river water degradation on human health. It involved 203 locals living along the Setiu River basin. Questionnaires were distributed and collected through face-to-face and "Google forms". The survey was conducted for four months from 1 January 2022 to 1 May 2022. All the respondents were locals who are Malaysian citizens. The data were obtained through questionnaires including questions based on a 5-point Likert scale and analysed by the Statistical Package for Social Science (SPSS) Software. Current water quality data was obtained through secondary data from the Department of Environment (DOE), Terengganu. The respondents' Income, Awareness, Knowledge, and Attitudes supported the hypothesis that demographic and socio-economic factors had significant differences in the risk perception for the impact of water pollution on human health. This study identified health issues related to the water pollution of Sungai Setiu among the residents from the questionnaire distributed by a regression analysis model.

SEMMI: Multi-party security decision-making scheme for linear functions in the internet of medical things

In the Internet of Medical Things(IoMT), developing models using machine learning algorithms can detect and assist users effectively in identifying health issues. Due to the risk of private user information being leaked during the machine learning application process, the widespread application and development of IoMT applications are hampered. Encrypting data is a good way to protect user privacy. However, given the participants’ limited resources, processing and analyzing ciphertext data presents a significant challenge.As a result, this paper proposes a secure and efficient assisted decision-making scheme (SEMMI) that is appropriate for the IoMT applications. SEMMI performs a thorough analysis of each participant’s resource constraints, divides the data circulation process into four stages, and constructs a data circulation and ciphertext calculation protocol. Data transmission security is ensured through the use of stream encryption and homomorphic encryption. Each participant sends the ciphertext to the cloud, and the cloud calculates the ciphertext data, effectively relieving each participant’s computational load. The security of the final result is guaranteed by matching the result with pre-decryption. The scheme’s security and efficiency are demonstrated experimentally. The results indicate that the accuracy loss of each data set under the ciphertext is no more than 3% at most and that the cloud performs most of the calculations for each participant. Finally, SEMMI is applied to the FedAvg algorithm, demonstrating the scheme’s universality.