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.

The Impact of Big Five Personality Traits on Older Europeans’ Physical Health

Investigating the role of Big Five personality traits in relation to various health outcomes has been extensively studied. The impact of “Big Five” on physical health is here explored for older Europeans with a focus on examining age groups differences. The study sample included 378,500 respondents derived from the seventh data wave of Survey of Health, Aging and Retirement in Europe (SHARE). The physical health status of older Europeans was estimated by constructing an index considering the combined effect of well-established health indicators such as the number of chronic diseases, mobility limitations, limitations with basic and instrumental activities of daily living, and self-perceived health. This index was used for an overall physical health assessment, for which the higher the score for an individual, the worst health level. Then, through a dichotomization process applied to the retrieved Principal Component Analysis scores, a two-group discrimination (good or bad health status) of SHARE participants was obtained as regards their physical health condition, allowing for further con-structing logistic regression models to assess the predictive significance of “Big Five” and their protective role for physical health. Results showed that neuroti-cism was the most significant predictor of physical health for all age groups un-der consideration, while extraversion, agreeableness and openness were not found to significantly affect the self-reported physical health levels of midlife adults aged 50 up to 64. Older adults aged 65 up to 79 were more prone to open-ness, whereas the oldest old individuals aged 80 up to 105 were mainly affected by openness and conscientiousness. .

Personality factors and self-perceived health in Chi-lean elderly population

Empirical evidence suggests that the stability of personality itself contributes to successful ageing and is associated with longer life. The aim of this study was to investigate the association between personality traits and the self-perceived health status, stratified by medical conditions in a representative sample of non-institutionalized elderly people in Chile. The data used for this study come from the fourth waves (2009) of the Chilean Social Protection Survey (SPS-2009). Included were a total of 2655 subjects aged 65 and over. The results showed that higher scores of all five personality factors were associated with good health. Those with the perception of poor health were more likely to be female, with lower education level and older than those with good health. With the exception of agreeableness, strong and significant associations with self-perceived health were demonstrated for extraversion, conscientiousness, emotional stability and openness, among elderly with medical conditions. Among elderly without medical problems, significant associations with self-perceived health were demonstrated only for extraversion, agreeableness and emotional stability. This study has shown that there is a consistent association between personality factors and self-perceived health throughout the older population. Our results suggest that extraversion and openness traits could be acting as “protector” factors and agreeableness and conscientiousness traits as “resilient” factors, facing to the health problems among elderly people.

A Pilot Study of Health Coaching on Older Adults’ Personal Healthcare and Maintenance during the Outbreak of Covid-19 in Singapore

With a rapidly ageing population in Singapore, older adults and their family members face challenges of age-related diseases, caregiver stress, and increasing demand for caregiving services. To address this pressing issue, this pilot study aims to introduce online health coaching for older adults in Singapore and evaluate its effectiveness on maintenance of personal healthcare. In the midst of the COVID-19 outbreak, older adults’ activities were largely restricted by measures on social distancing. The online health coaching provided a solution for older adults to achieve a healthy lifestyle in a contactless manner. In this pilot study, 18 older adults (≥55 years old) who were willing to be coached by trained health coaches (n = 10) for 8 weeks (once a week) were recruited. Pre- and post-surveys with older adults were conducted. Furthermore, health coaching booklet was used to control the quality of coaching and to record diet and exercise plans. The pilot study demonstrated that the health coaching provided older adults with knowledge of nutrition and exercise, raised their awareness of well-being in terms of daily meals and regular exercise, and provided an alternative to maintain a healthy lifestyle amidst global pandemic. Additionally, we also identified that the older adults’ satisfactions with health coaching were positively associated with educational levels (R2 = 0.31). Lastly, this pilot study highlighted that health coaching standardization process for older adults is critical for researchers and healthcare practitioners in the future.

Securing Patient-Centric Personal Health Records Sharing System in Cloud Computing

Personal health record （PHR） enables patients to manage their own electronic medical records （EMR） in a centralized way, and it is oRen outsourced to be stored in a third-party server. In this paper we propose a novel secure and scalable system for sharing PHRs. We focus on the multiple data owner scenario, and divide the users in the system into multiple security domains that greatly reduce the key management complexity for owners and users. A high degree of patient privacy is guaranteed by exploiting hierarchical and multi- authority attribute-sets based encryption （HM- ASBE）. Our system not only supports compound attributes due to flexible attribute sets combinations, but also achieves fine-grained access control. Our scheme supports efficient on-demand user/attribute revocation and break-glass access under emergency scenarios.

Fog-Based Secure Framework for Personal Health Records Systems

The rapid development of personal health records(PHR)systems enables an individual to collect,create,store and share his PHR to authorized entities.Health care systems within the smart city environment require a patient to share his PRH data with a multitude of institutions’repositories located in the cloud.The cloud computing paradigm cannot meet such a massive transformative healthcare systems due to drawbacks including network latency,scalability and bandwidth.Fog computing relieves the load of conventional cloud computing by availing intermediate fog nodes between the end users and the remote servers.Assuming a massive demand of PHR data within a ubiquitous smart city,we propose a secure and fog assisted framework for PHR systems to address security,access control and privacy concerns.Built under a fog-based architecture,the proposed framework makes use of efficient key exchange protocol coupled with ciphertext attribute based encryption(CP-ABE)to guarantee confidentiality and fine-grained access control within the system respectively.We also make use of digital signature combined with CP-ABE to ensure the system authentication and users privacy.We provide the analysis of the proposed framework in terms of security and performance.

Survey of Relationship between Personality Traits with Mental Health and Academic Staffs’ Job Satisfaction in the University of Guilan, Iran

The main aim of the research is survey of relationship between personality characteristics with academic staffs’ job satisfaction and mental health in the University of Guilan. The statistic population was all these academic staffs in the year of 2014 (500). 196 individuals have selected by Kerjecy & Morgan (1970) and random sampling method. The research instruments were personality characteristics (NEO), General Health Questionnaire (GHQ) and self-made questionnaires. Pearson’s Correlation, Multiple Regression and Multiple Variant (Manova) have used for analyzing data. Results showed that there was a relationship among neurotic and settlement’s personality characteristics with job satisfaction and neurotic, openness, extroversion personality characteristics and settlement with mental health. Some of personality characteristics had been anticipators of mental health and job satisfaction and personality characteristics with mental health and job satisfaction had differenced depend on sociologic variances relationships.

Modern Health Worries and the Personality Disorders: Two Studies Using Different Measures

This paper reports on two studies using different measures of both Modern Health Worries (MHW) and the Personality Disorders (PDs) to establish the relationship between the two concepts. Study 1 used the PID-5 which is a measure of maladaptive personality traits and the extended 40 item MHW scale. Study 2 used the original 28 item measure of MHW and PDs as measured by the Coolidge Axis-II Inventory—Short Form: SCATI. In study 1 a regression on the total MHW scale accounted for 14% of the variance: those who scored higher on Antagonism and Negative Affect had higher MHW scores. In the study 2 regressions showed four variables consistently related to MHW: sex (females with higher scores), optimism, political beliefs (left wing liberals with higher scores) and those with Cluster B personality disorders (dramatic, overly emotional, erratic). There was enough overlap in the two studies to conclude that various PDs mainly from Cluster B (Moving Against others) were modestly related to MHW as predicted. Limitations and implications are considered.

Does Facility Based Sexual and Reproductive Health Services Meet the Needs of Young Persons? Views from Cross Section of Ghanaian Youth

The focus on facility based health setting to provide sexual and reproductive health to the youth has been tested in several settings and achieved varying results. This study examined whether facility based sexual and reproductive health services met the needs of Ghanaian youth. Adopting the descriptive cross sectional design, 170 youths between the ages of 10 and 24 were sampled. A three-stage stratified random sampling technique was adopted. The results of the study are presented using descriptive statistics. The study established that a total of 55.8% (95/170) of the youth had utilized at least one or more of a sexual and reproductive health service in life time. However, only 45.2% (43/95) of youth used or accessed sexual and reproductive health services from a facility based setting. Facility based sexual and reproductive health service provided specifically for the youth is very limited. This calls for the provision of out-of health facility services located within the communities and at strategic places while ensuring confidentiality to the youth. More rigorous research is recommended on a national scale to examine youth preference for the type of facility based and out-of-facility based sexual and reproductive health services to meet the needs of young people.

The influence of environment, predisposing, enabling and need variables on personal health choices of adults with intellectual disability

Attention to disease and risk factor management is increasingly a feature of people with intellectual disability (ID) as an augmented life expectancy also exposes a growing number of age-related diseases. An additional concern is little attention to date to physical activity, nutrition, access to social support and other personal health choices and to environmental issues such as the impact of access to social support and the implications of individual’s living arrangements. Method: Using a sample of 753 persons with ID from the intellectual disability supplement to the Irish longitudinal study on ageing (IDS-TILDA), forty three variables were grouped into environmental, predisposing, enabling, need and personal health choices clusters and hierarchical ordinary least squares regression examined the contribution of environmental, enabling, predisposing, need and all combinations of the sets of variables to personal health choices. Findings: Almost 32% of variance was explained primarily by need variables. Most significant relationships were with meeting up with family and friends (environmental), age, rating of health and worries about getting older (predisposing), having public health insurance and nursing who come into the home (enabling) and presence of stroke, chronic constipation, functional limitations, high assistance needs with activities of daily living (need). Discussion: Taken together, the groupings of variables from the Anderson Model explained a modest amount of variance in the pursuit of positive personal health choices by people with ID. More work is clearly needed in developing evidence-based interventions and strategies, and in understanding the relationship between positive personal health choices of people with ID and health outcomes.

Relationship of Smartphone Dependence to General Health Status and Personality Traits among University Students

We investigated associations between smartphone dependence and general health status or personality traits. To 197 medical university students, we administered a set of self-reporting questionnaires designed to evaluate these parameters. For males, smartphone dependence positively correlated with somatic symptoms, anxiety and insomnia, and emotional instability, and negatively correlated with agreeableness. For females, smartphone dependence positively correlated with somatic symptoms, severe depression, and extraversion, and negatively correlated with social dysfunction. These findings suggest that smartphone dependence may be associated with general health status or personality traits and that there may be a gender difference in these associations.

Relationship between Students’ Personality and Mental Health at University of Guilan (Faculty of Humanities)

The main goal of this research was the scrutiny of relationship between students’ personality characteristics and mental health at the University of Guilan. The population was the students of the Faculty of Humanities in 2009 with 3000 which 196 were selected using Kerjeci & Morgan table and stratified sampling method. They answered to the NEO and GHQ questionnaires. Results showed that there was relationship between personality characteristic of neurotic, openness, extraversion and being conscionable with mental health. Meanwhile, openness had the highest and extraversion with the lowest correlation scale and most of students (65%) had low mental health. Also, there were no significant differences among students with respect to different courses but significant difference with respect to gender and age.

Practices and Barriers for Personal Protective Equipment among Health Care Workers during COVID-19 Pandemic Management at Tertiary Care Government Hospital of South Gujarat, India

Introduction: The recent COVID-19 pandemic has prompted concern about the compatibility of IPC guidelines with health care workers, their working practices and behaviours. These guidelines can be difficult and time-consuming to adhere to in practice. By identifying barriers and facilitators to IPC guideline adherence, especially using personal protective equipment (PPE), we can identify focussed strategies that will support health care workers to undertake the IPC measures needed at such a critical time in health care internationally. Material & Methods: This was a cross-sectional study designed during the COVID-19 pandemic management in the South Gujarat region, to analyse the knowledge, attitude and practices of health care workers about their usage of personal protective equipment. A semi-structured questionnaire-based study was prepared, deriving pointers from our previous experience of seasonal flu outbreaks. 225 participants enrolled who were doctors, resident doctors, nurses, lab technicians, ward boys and food distributors. Result: Analysis of the barriers-related questions show good preparedness by the medical institution. Overall we found good knowledge, attitude and practice related to PPE during COVID-19 pandemic management. There are few gaps found in the knowledge of donning of PPE (p-0.0075), N-95 mask related knowledge (p-0.01) and the attitude that PPE use causes discomfort while nursing patients (0.0001).

Accessibility and availability of health care services to internally displaced persons, in Kitgum and Pader districts, northern Uganda

Introduction: During 1986-2009, an estimated 1.6 million persons were internally displaced from northern and eastern regions of Uganda due to civil war. We investigated accessibility to and availability of health care services for the internally displaced persons in Kitgum and Pader districts, northern Uganda. Methods: This was a cross-sectional study conducted in Kitgum and Pader districts, northern Uganda. We interviewed a total of 1383 respondents comprising 968 (70%) adults and 415 (30%) adolescents;60% were females and 40% males, randomly selected from 35 of 67 (52.2%) internally displaced persons (IDP) camps. We held 27 key informant interviews and 52 focus group discussions. Data were entered in EPI data version 3.02 and analysed using SPSS version 12.00 statistical packages. Findings: Two thirds of the respondents 67.5% lived within 5 km distance of a health facility. The majority 62.9% of respondents mentioned that health related information was readily provided. 43.5% of health providers were always available in a health facility. A quarter 25.1% of health facilities always had drugs available, while 56.9% of the drugs prescribed were always available. Two thirds of the respondents 65.9% were satisfied with the health care services provided. The main reasons for the choice of a health facility were proximity 29.6%, provision of free treatment 24.7% and availability of drugs 17.2%. Main barriers to health care access were due to the lack of financial resources, trained personnel, and inadequate drugs and supplies in the health facilities. Conclusions and Recommendations: The majority of IDPs lived in close proximity to health facilities and obtained health care services from public health facilities. Access to health care was determined mainly by proximity and availability of free services and drugs. Although geographic accessibility to health services was high, lack of finances, information and decision power hindered access to health care services.

An Analysis and Prediction of Health Insurance Costs Using Machine Learning-Based Regressor Techniques

One of the most significant annual expenses that a person has is their health insurance coverage. Health insurance accounts for one-third of GDP, and everyone needs medical treatment to varying degrees. Changes in medicine, pharmaceutical trends, and political factors are only a few of the many factors that cause annual fluctuations in healthcare costs. This paper describes how a system may analyse a person’s medical history to display their insurance plans and make predictions about their health insurance premiums. The performance of four ML models—XGBoost, Lasso, KNN, and Ridge—is evaluated using R2-score and RMSE. The analysis of medical health insurance cost prediction using Lasso regression, Ridge regression, and K-Nearest Neighbours (KNN), and XGBoost (XGB) highlights notable differences in performance. KNN has the lowest R2-score of 55.21 and an RMSE of 4431.1, indicating limited predictive ability. Ridge Regression improves on this by an R2-score of 78.38 but has a higher RMSE of 4652.06. Lasso Regression slightly edges out Ridge with an R2-score of 79.78, yet it suffers from an advanced RMSE of 5671.6. In contrast, XGBoost excels with the highest R2-score of 86.81 and the lowermost RMSE of 4450.4, demonstrating superior predictive accuracy and making it the most effective model for this task. The best method for accurately predicting health insurance premiums was XGBoost Regression. The findings beneficial for policymakers, insurers, and healthcare providers as they can use this information to allocate resources more efficiently and enhance cost-effectiveness in the healthcare industry.

PPPM (Predictive, Preventive and Personalized Medicine) as a New Model of the National and International Healthcare Services and Thus a Promising Strategy to Prevent a Disease: From Basics to Practice

Nowadays the system of public health is constructed in such a manner so that its main objective is the recovery of an already sick person, while prediction and prevention receive little attention. Meanwhile the development of these aspects of medicine can lead to the ability to control morbidity among the population, to identify chronic and genetic diseases in the early stages of development, and thus to prevent their further progression. This will reduce traditionally high costs of sick people treatment and the number of disabled population, and improve the quality and duration of life. The elaboration of new fields of science that are working on the study and interpretation of data obtained during laboratory and clinical research, creation of new methods for diagnosis, prognosis and treatment, provides an opportunity now to implement a new strategy, called PPPM, and gets promising results, which should lead to further development of an existing medicine.

知识图谱在糖尿病患者健康管理中的应用进展

知识图谱通过先进的语义技术对大量的医疗知识进行规范化表示、抽取、融合和推理,可以实现强大的知识可视化和推理支持功能。本文介绍知识图谱的概念、发展和特点,综述其在糖尿病患者健康管理中的应用,旨在为糖尿病患者健康管理提供参考。

适应理论的积极心理学干预联合合理情绪疗法对甲状腺功能亢进患者的影响

目的:探讨基于适应理论的积极心理学干预联合合理情绪(REBT)疗法对甲状腺功能亢进患者心理健康、人格特征和应对方式的影响。方法:选取2021年4月-2024年3月在某院确诊的160例甲状腺功能亢进患者,根据入院时间将2021年4月-2022年6月采用常规干预的80例患者纳入为参照组,将2022年7月-2024年3月在参照组基础上加用基于适应理论的积极心理学干预的80例患者纳入为联合组,均持续干预8周。比较两组患者干预前后心理健康[采用评估汉密尔顿焦虑量表(HAMA)和汉密尔顿抑郁量表(HAMD)]、精神症状[采用症状自评量表(SCL-90)评估]、人格特质[采用中国版艾森克人格简式量表(EPQ-RSC)评分评估]、应对方式[采用简易应对方式量表评估]和生活质量[采用生活质量量表(SF-36)评估]。结果:干预后,联合组HAMA和HAMD量表评分、SCL-90量表评分和EPQ-RSC量表评分较参照组低,联合组患者的简易应对方式量表评分和生活质量较参照组高,差异有统计学意义(P<0.05)。结论:基于适应理论的积极心理学干预REBT疗法可以改善患者心理健康,降低患者人格特征倾向化表现,提高其对疾病的积极应对方式和生活质量。

关于建立标准人(Standard Person简写SP)体系的假设

人作为生物,也作为社会成员,他们具有不同的个体特征,但同时又具有共同之处,这些共同之处我们可以从人的身体素质、思想素质和科学文化素质等进行比较。标准人体系假设就是试图从这几个重要因素及其子因素对人的影响中确定一个标准人所拥有的条件,以及各因素对标准人的影响权重,也就是对人的条件进行量化,并提出本假设的目的,解决的问题和作者希望通过本假设对社会学、人口学、人类学、人口社会学等学科的研究提供一种新的视角。

数智赋能青少年体质健康:基于自我决定理论的个性化干预策略

基于自我决定理论(SDT),通过文献资料法分析数智化环境如何通过影响青少年的内在动机及其在体质健康管理中的作用,探讨数智时代青少年体质健康个性化促进的策略,构建一套包含个性化评估、基于SDT的个性化干预策略的综合框架,以期促进青少年体质健康。结果显示:数智工具在提升青少年自主性、胜任感和关系感方面有显著成效,有助于促进青少年体质健康。然而,数智化进程中也伴随着技术、心理和资源等诸多挑战。建议加强数字素养教育、平衡虚拟与现实活动并强化跨领域合作,以促进青少年在数智化环境中的健康成长。结论:为促进青少年在数智化环境中的健康成长,建议加强数字素养教育,提高青少年对数智工具的正确认识和使用能力;平衡虚拟与现实活动,确保青少年在参与数智化活动的同时,也能积极参与体育锻炼等现实活动;强化跨领域合作,整合教育、体育、科技等领域的资源,共同为青少年体质健康促进提供支持。