Life Of Elderly People Research Articles

Aktifitas Fisik Berhubungan dengan Kualitas Hidup Lansia Penderita Hipertensi

As we age, an individual experiences changes including changes in physiological, psychological and socio-economic status. Elderly people continually experience various changes marked by decreased physical endurance, making them vulnerable to disease attacks, one of which is hypertension, which can cause reduced physical activity. Lack of physical activity increases the risk of developing hypertension. Physical activity can improve the quality of life of elderly people, including elderly people with hypertension. The aim of this study was to determine the relationship between physical activity and the quality of life of elderly people with hypertension. The research method is non-experimental with a cross-sectional approach. Data were analyzed using Chi Square. Instruments used WHO GPAQ Physical Activity and WHOQL-BREF quality of life. The research subjects were elderly people with hypertension. The results of the study showed a p-value of 0.003, where there was a relationship between physical activity and the quality of life of elderly people with hypertension with p < 0.05. Conclusion: There is a relationship between physical activity and quality of life in elderly people with hypertension

The relationship between the spirituality levels and the happiness and life satisfaction of elderly individuals living in their homes and nursing homes

ABSTRACT Spirituality and religion have an important place in the lives of Turkish elderly people. With modernization and changes in social life, the position of Turkish elderly people at home has changed and the need for institutional care has increased. Elderly individuals who have partially lost their place in traditional Turkish culture often resort to spirituality in coping with the problems they experience. This situation requires conducting studies on determining and comparing the relationship between the spirituality levels, happiness and life satisfaction of elderly individuals living at home or in nursing homes in our country. The sample of the study consisted of 139 elderly individuals over the age of 65 who were followed in nursing homes and Family Health Centers. The data of the research were collected by face-to-face interview technique using the “Personal Information Form, Spirituality Scale, Life Satisfaction Scale and Subjective Happiness Scale”. The research revealed that there is a significant difference between the spirituality levels of elderly individuals living in homes and nursing homes. It also showed that, although there was no significant difference, the life satisfaction and happiness levels of elderly individuals living at home were higher than those of elderly individuals living in a nursing home.

Effects of Reciting Qur'an (Ruqyah on Sleep Quality of Elderly People Living in A Nursing Home

Effects of Reciting Qur'an (Ruqyah on Sleep Quality of Elderly People Living in A Nursing Home

Factors associated with predoctoral and graduate dental students' intention to care for elderly patients: A cross-sectional study.

Ageism among pre-doctoral and graduate dental students may reduce their propensity to provide dental treatment to elderly patients leading to substandard healthcare for this population. This study evaluated the impact of perceived ageism constructs and geriatric dentistry education on the intention of pre-doctoral and graduate students to provide dental care for elderly patients. A questionnaire was applied to collect the data for this cross-sectional study from pre-doctoral students in their clinical years and graduate students in their internship year (N=201). A total of 183 completed responses were received, and the response rate was 91%. Hierarchical regression analysis was performed to determine the incremental effects of perceived ageism constructs and geriatric dentistry education on the intention to provide dental care for elderly patients. Geriatric dental education (B=0.328, t=3.826, p<0.001) and patients' low compliance (B=0.503, t=4.658, p<0.001) were significantly positive predictors of pre-doctoral and graduate students' intentions to care for elderly patients. Also, negative attitudes toward the lives of elderly people have a substantial adverse effect on the intention of care for this population (B=-0.225, t=-2.206, p=0.029). Cronbach's alpha for the scale constructs ranged from 0.738 to 0.886. Advanced geriatric training may cultivate pre-doctoral and graduate students' deeper understanding and recognition of the intellectual and practical benefits that might arise from offering dentalcare to elderly people.

A brain machine interface framework for exploring proactive control of smart environments

Brain machine interfaces (BMIs) can substantially improve the quality of life of elderly or disabled people. However, performing complex action sequences with a BMI system is onerous because it requires issuing commands sequentially. Fundamentally different from this, we have designed a BMI system that reads out mental planning activity and issues commands in a proactive manner. To demonstrate this, we recorded brain activity from freely-moving monkeys performing an instructed task and decoded it with an energy-efficient, small and mobile field-programmable gate array hardware decoder triggering real-time action execution on smart devices. Core of this is an adaptive decoding algorithm that can compensate for the day-by-day neuronal signal fluctuations with minimal re-calibration effort. We show that open-loop planning-ahead control is possible using signals from primary and pre-motor areas leading to significant time-gain in the execution of action sequences. This novel approach provides, thus, a stepping stone towards improved and more humane control of different smart environments with mobile brain machine interfaces.

LOKUS KENDALI DAN KUALITAS HIDUP LANSIA DENGAN HIPERTENSI

Hypertension is a disease that many elderly people suffer from, who are vulnerable to experiencing a decrease in quality of life due to decreased organ function. Quality of life is influenced by locus of control. The aim of this study was to determine the relationship between locus of control and the quality of life of elderly people with hypertension. Correlation research design. Population 426 elderly, sample 209 elderly. Statistical tests use Pearson correlation. The results show that there is a relationship between locus of control and the quality of life of hypertensive elderly people, p=0.001 (P&lt;0.05). Observation of the locus of control is very important to improve the quality of life of the elderly in order to improve the welfare of the elderly in old age.

Sleep quality as a mediator between family function and life satisfaction among Chinese older adults in nursing home

BackgroundThe life satisfaction of the elderly in nursing home is the focus of social concern.The purpose of this study was to evaluate the effects of family function and sleep quality on life satisfaction among elderly individuals in nursing homes and examine the mediating effect of sleep quality between family function and life satisfaction.MethodsA cross-sectional observational study was conducted .A total of 127 older adults who completed the Life Satisfaction Index A (LSI-A), the Family APGAR Index and the Pittsburgh Sleep Quality Index (PSQI) were recruited from four nursing homes in Chongqing, China.ResultsLife satisfaction was positively correlated with family function (r=0.434, p<0.01) and negatively correlated with PSQI (r = -0.514, p<0.01). PSQI was found to be negatively associated with family function (r=-0.387, p<0.01).Family function had a significant effect on PSQI (path a: β=-0.8459, 95% CI=-1.2029, -0.4889), and PSQI had a significant effect on life satisfaction (path b: β=-0.3916, 95% CI=-0.5407, -0.2425). The total effect (path c) and direct effect (path c') of family function on life satisfaction were significant (β=0.8931, 95% CI=0.5626, 1.2235 and β=0.56181, 95% CI=0.2358, 0.8879, respectively). The coefficient for the indirect effect of family function on life satisfaction through PSQI was statistically significant (β=0.3312, 95% CI=0.1628, 0.5588). PSQI played a partial mediating role between family function and life satisfaction, and PSQI mediated 32.58% of the total effect of family function on life satisfaction.ConclusionsFamily function and sleep quality were significant predictors of elderly people's life satisfaction in nursing homes. Sleep quality partially mediated the relationship between family function and life satisfaction.The interventions focused on promoting family function and improving sleep quality may be more helpful in improving elderly people's life satisfaction in nursing homes.

Assessing the quality of life priorities in the elderly: Application of the Turkish-Adapted Mayers’ Lifestyle Questionnaire (3)

Introduction: The growing aging population requires the development of new policies and programs to meet the needs and expectations of the elderly. Identifying priorities for the elderly’s quality of life can be the foundation for rehabilitation services provided to the elderly. This study aims to assess the quality of life priorities in the elderly using the Turkish-adapted Mayers’ Lifestyle Questionnaire (3). Method: The study included 171 elderly with a mean age of 74.72 ± 4.36 years. Participants completed a sociodemographic information form and the Turkish-Adapted Mayers’ Lifestyle Questionnaire (3). Results: Quality of life priorities for elderly people were independence in reading and writing, participation in paid and/or voluntary work, spiritual, and satisfying activities, and the ability to make choices about their lives. Conclusion: The study results showed that Mayers’ Lifestyle Questionnaire (3) supports setting priorities by examining the quality of life of elderly people from a multidimensional perspective. The use of Mayers’ Lifestyle Questionnaire (3) can contribute to the development of effective strategies aimed at improving the quality of life for elderly individuals. A holistic approach to each factor affecting quality of life will enable occupational therapists and other professionals involved with elderly people to consider person-centered factors in their interventions.

THE RELATIONSHIP OF ORAL HEALTH AND QUALITY OF LIFE FOR ELDERLY AT THE TRESNA WERDHA NIRWANA SOCIAL ORGANIZATION PURI SAMARINDA

Introduction: Elderly is the final stage of the aging process, usually followed by cumulative changes in human that create changes in the oral cavity as well. Oral Health plays a crucial role in general health and quality of life. Material and Methods: : This research used analytical observational study with cross-sectional design, using purposive sampling as its sampling method. The respondents were 81 elderly people. This research used oral health Levin questionnaire and Oral Health Impact Profile (OHIP-14). The data from this research were analyzed using Spearman correlation test. Results and Discussions: The correlation between dental and oral health and quality of life showed significant with the p value &lt;0.001 and correlation coefficient R= 0.657. Conclusion: There was a significant correlation between dental and oral health and the quality of life of elderly people in Tresna Werdha Nirwana Puri Samarinda Nursing home.

A model of social and cultural components of quality of life of elderly people in the Republic of Croatia

A model of social and cultural components of quality of life of elderly people in the Republic of Croatia

Effectiveness of a Sustainable Training Program Combining Supervised Outdoor Exercise with Telecoaching on Physical Performance in Elderly People

The decrease in functional abilities can negatively influence quality of life and autonomy in elderly people, and physical exercise plays a crucial role regardless of the type. Among the latter, also due to the COVID-19 pandemic, outdoor exercise and telecoaching are settings that have been widely implemented. Hence, the aim of this study was to investigate the effectiveness of a sustainable training program combining supervised outdoor exercise with telecoaching on physical performance in elderly people. A total of 60 participants were recruited and divided into two groups: a trained group (TG) and an untrained group (UG), based on their participation in an 8-week sustainable training program consisted of five sessions/week, which included two sessions/week of supervised outdoor exercise and three sessions/week of telecoaching. Participants were evaluated before and at the end of the training program using the handgrip test, Timed Up and Go (TUG) test, short physical performance battery (SPPB), and Tinetti scale. In the TG, we found a significant improvement in the following tests: right handgrip (p &lt; 0.001); left handgrip (p &lt; 0.001); TUG (p &lt; 0.001); SPPB (p = 0.01); and Tinetti scale (p = 0.006). A detailed analysis of the SPPB and Tinetti scale showed the lack of significant changes in walking ability: gait speed (p &gt; 0.05) and walking parameters in the Tinetti scale (p &gt; 0.05). Based on our results, we suggest that a sustainable training program combining supervised outdoor exercise with telecoaching could be effective in the elderly population for improving balance capacity and strength.

Health Status and Risk Factors of Non-Communicable Diseases Among Elderly People Living in Dhaka City

Elderly peoples are occupying a big portion in Bangladesh as life expectancy increases. In Bangladesh, NCDs are a significant cause of mortality, responsible for 67% of total deaths. Non-communicable diseases (NCDs) including cardiovascular diseases and stroke, type 2 diabetes, and pulmonary disorders are the result of a combination of genetic, socio-demographic, biochemical, and behavioral factors. The study focuses on the compare of the health status of elderly people residing among both communities &amp; old homes in Dhaka city. A cross sectional analytical primary data-based study was carried out and the subjects were conducted among 200 senior citizens living at the old home and same respondents from the community living with family or alone. Most of the elderly peoples’ age group was 62-65 years among both community and old home resident’s. Most of the respondents were Muslim in the old home and community. Among community residents, 80.50% lived with a joint family and 19.50% in a nuclear family dwellers and old home dwellers. The health status of elderly peoples’ staying in both communities and old home is more or less similar, except COPD. The COPD was found higher in old home dwellers. Anxiety was higher in community dwellers, but depression was found higher in old home dwellers. Dementia and sleep disturbance was found higher in community dwellers. Diabetes was higher community than old home. It was found among 62% and 69% community and old home respondents. COPD was larger among old home than community residents. It was found among (66%) than the community residents (41%) and arthritis was found a serious problem among the study subjects.

Development of artificial intelligence edge computing based wearable device for fall detection and prevention of elderly people

Elderly falls are a major concerning threat resulting in over 1.5–2 million elderly people experiencing severe injuries and 1 million deaths yearly. Falls experienced by Elderly people may lead to a long‐term negative impact on their physical and psychological health conditions. Major healthcare research had focused on this lately to detect and prevent the fall. In this work, an Artificial Intelligence (AI) edge computing based wearable device is designed and developed for detection and prevention of fall of elderly people. Further, the various deep learning algorithms such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) are utilized for activity recognition of elderly. Also, the CNN-LSTM, RNN-LSTM and GRU-LSTM with and without attention layer respectively are utilized and the performance metrics are analyzed to find the best deep learning model. Furthermore, the three different hardware boards such as Jetson Nano developer board, Raspberry PI 3 and 4 are utilized as an AI edge computing device and the best deep learning model is implemented and the computation time is evaluated. Results demonstrate that the CNN-LSTM with attention layer exhibits the accuracy, recall, precision and F1_Score of 97%, 98%, 98% and 0.98 respectively which is better when compared to other deep learning models. Also, the computation time of NVIDIA Jetson Nano is less when compared to other edge computing devices. This work appears to be of high societal relevance since the proposed wearable device can be used to monitor the activity of elderly and prevents the elderly falls which improve the quality of life of elderly people.

PROCare4Life lessons learned.

PeRsOnalised Integrated CARE Solution for Elderly (PROCare4Life) was an EU-funded project that ran from January 2020 until June 2023, whose focus was to further develop and integrate previous ICT solutions developed by several previous EU-funded projects into a unique modular system able to support the autonomy and empowerment and to increase the Quality of Life (QoL) of elderly people living with Parkinson's, Alzheimer's, or similar dementia, having also tested the system for elderly people living with comorbidities. This article focuses on the methodology and results used to identify the internal lessons learned. PROCare4Life was developed using a codesign approach involving more than 2,000 participants whose input has been listened to and transformed into valuable changes of the system and also into lessons learned included in this case study report. Since the beginning of the implementation of PROCare4Life, there has been a commitment to make invisible knowledge visible through open discussion and including our lessons learned in each of our deliverables. In the last six months of implementation, qualitative research has been implemented by the PROCare4Life consortium to identify and select our most relevant challenges and recommendations for future projects and initiatives. PROCare4Life was highly impacted by the COVID-19 pandemic, and it is acknowledged in the lessons learned. However, the consortium has focused on the recommendations that could be more valuable for ordinary implementation of future projects and initiatives developing eHealth tools for elderly citizens living with conditions that might affect their cognitive or mobility capacities.

Особенности социологических исследований старения в постпандемийное время

The new coronavirus infection, general uncertainty and constant variability of the post-pandemic world influenced transformations in the understanding of age and aging, as well as the emergence of new perspectives in aging research and understanding of this process in the social sciences. Defining age boundaries, understanding the activities of elderly people in the post-pandemic reality and the prospects for researching such activities are important issues for the domestic and foreign scientific community. The article examines the latest publications on the sociology of aging, social policy, health of elderly people and their necessary activities. In total, the author analyzes 1,000 publications released in 2022 and 2023 and devoted to the peculiarities of elderly people’s life after the pandemic. The author uncovers important factors for better integration of elderly people into social life and overcoming the problems caused by the pandemic: activating the social life of elderly people; developing the integration of elderly people into social life; understanding the employment of elderly people as a multi-vector direction, which may include hobbies and their monetization, non-permanent employment or employment for pleasure and communication.

Novelty detection algorithms to help identify abnormal activities in the daily lives of elderly people

Novelty detection algorithms to help identify abnormal activities in the daily lives of elderly people

A perspective on how to improve the quality of life of elderly people living in rural areas

Introduction: We are going to witness the demographic shift with the predictable trends of population ageing and thus need to understand healthy ageing. This study was aimed to understand factors that influence the quality of life (QOL) of the elderly. Methods: This was a qualitative study conducted in 4 selected villages including males and females of age group &gt; 60 years of age. 20 elderly individuals and 10 elderly individuals were chosen for a free listing and pile sorting exercise respectively. Smith's index was calculated for a free listing. Multidimensional scaling and cluster analysis were conducted to do pile sorting of data. Data were analyzed using Flame v1.2 and Anthropac. Result: During free-listing, 54 salient items were identified. Financial stability, healthy living, self-sufficiency, and work engagement were the most frequent responses that came from the study subjects. 25 salient items that were repeated in the free-listing exercise were included for the pile-sorting. The piles generated ranged from 3-12. Later, 25 perceived items (factors) for improving quality of life were clustered into 5 groups (Role of harmonious family, healthy ageing, daily schedule activity, leisure time and external support). Conclusion: The elderly recognized that a harmonious family, healthy ageing, daily schedule with leisure activity, and Government support can all improve their quality of life.

An Exploratory Study of the Spiritual Support Care Model for the Elderly with Dementia under the Perspective of Matching Supply and Demand

China attaches great importance to the issue of population aging, actively addressing it as one of the country’s important measures, with the care model for elderly people with dementia being a focus of society. This study explores the spiritual support care model for elderly people with dementia from the perspective of supply-demand matching, aiming to construct more feasible and economical care models and nursing care plans to improve the quality of nursing services and enhance the quality of life of elderly people. At the same time, it enhances the quality of life for the elderly. This study provides a better understanding of the research progress related to the spiritual support care model for medical staff, offering a rich guiding experience for elderly people with dementia in China. It provides a solid theoretical foundation for the application of spiritual support care. In future development, interdisciplinary research models can be promoted to drive innovative development, combining China’s profound traditional cultural heritage and adapting to the diversified demands arising from social development, ensuring that every elderly person has support and care and enhancing the spiritual health level of the elderly.

Potential mechanism of tea for treating osteoporosis, osteoarthritis, and rheumatoid arthritis.

Osteoporosis (OP), osteoarthritis (OA), and rheumatoid arthritis (RA) are common bone and joint diseases with a high incidence and long duration. Thus, these conditions can affect the lives of middle-aged and elderly people. Tea drinking is a traditional lifestyle in China, and the long-term intake of tea and its active ingredients is beneficial to human health. However, the mechanisms of action of tea and its active ingredients against OP, OA, and RA are not completely elucidated. This study aimed to assess the therapeutic role and related mechanisms of tea and its active ingredients in OP, OA, and RA. Moreover, it expanded the potential mechanisms of tea efficacy based on network pharmacology and molecular docking. Results showed that tea has potential anti-COX properties and hormone-like effects. Compared with a single component, different tea components synergize or antagonize each other, thereby resulting in a more evident dual effect. In conclusion, tea has great potential in the medical and healthcare fields. Nevertheless, further research on the composition, proportion, and synergistic mechanism of several tea components should be performed.

Developing an intelligent prediction system for successful aging based on artificial neural networks.

Due to the growing number of disabilities in elderly, Attention to this period of life is essential to be considered. Few studies focused on the physical, mental, disabilities, and disorders affecting the quality of life in elderly people. SA1 is related to various factors influencing the elderly's life. So, the objective of the current study is to build an intelligent system for SA prediction through ANN2 algorithms to investigate better all factors affecting the elderly life and promote them. This study was performed on 1156 SA and non-SA cases. We applied statistical feature reduction method to obtain the best factors predicting the SA. Two models of ANNs with 5, 10, 15, and 20 neurons in hidden layers were used for model construction. Finally, the best ANN configuration was obtained for predicting the SA using sensitivity, specificity, accuracy, and cross-entropy loss function. The study showed that 25 factors correlated with SA at the statistical level of P < 0.05. Assessing all ANN structures resulted in FF-BP3 algorithm having the configuration of 25-15-1 with accuracy-train of 0.92, accuracy-test of 0.86, and accuracy-validation of 0.87 gaining the best performance over other ANN algorithms. Developing the CDSS for predicting SA has crucial role to effectively inform geriatrics and health care policymakers decision making.