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Physical Health (Definition, Semantic Content, Study Prospects
... Physical health, according to Koipysheva et al., (2018), is a dynamic state characterized by the development of biochemical, physiological, and mental processes that influence labor capability and human social activities. This concept is consistent with the goal of this study, which is that a teacher's physical health has an impact on all activities and performance. ...
... This concept is consistent with the goal of this study, which is that a teacher's physical health has an impact on all activities and performance. The following are factors that affect physical health in general, according to Koipysheva et al. (2018) are genetics (heredity), health status, environment and lifestyle. ...
Work environment change during the Covid-19 pandemic caused symptoms of health problems. Since the online school, teachers at the Nurul Islam Integrated Islamic Elementary School, Cahaya Ilmu Elementary School, and Al-Iman Elementary School have experienced mental and physical health problems. Mental health disorders such as work stress, both stress that comes from within themselves and from the organization/environment. Physical health problems felt by the teachers were eye nerve disorders, joint disorders, muscle and spinal disorders. The purpose of this study was to analyze the impact of the work environment on the health conditions, especially for the mental and physical health of teachers, the sample in this study is 138 people. The data collection techniques used surveys, interviews, and distributing the questionnaires, and the data processing and analysis techniques used simple linear regression methods. The results of the partial analysis there is a negative amount of 20,6% influence between the work environment on healthy conditions, this means that any unfavorable high state of the work environment will deteriorate the teacher's physical and mental health.
... From the definition, it could state that physical health and mental health had relationship. Physical health can be defined as a normal function of the body at all levels; a normal course of biological processes that ensures individual survival and reproduction; a dynamic balance between the body's functions and the environment; participation in social activities and socially useful work; performance of basic social functions; the absence of diseases, painful conditions, and changes; and the body's ability to adjust to the constantly changing conditions of the external environment (Koipysheva, 2018). While mental health was defined as a state of well-being whereby individuals recognize their abilities to cope with the normal stresses of life, work productively and fruitfully, and make a contribution to their communities. ...
Depression and suicide rates among youths tended to increase. From reviews, many applications and online counseling could reduce depression and anxiety to promote well-being of youths and university students effectively. This study was conducted to develop "Friend from heart" application based on LINE system to promote well-being for undergraduate students of faculty of education, Kasetsart University. The research method included the survey of basic data for developing the application and evaluation of the application by specialists. A total of 72 voluntary students were invited to join an online survey. It was found that most of the students (81.94%) wanted applications that provide physical health information such as exercise, eating healthy food, and health care. However, about 16.66% of students needed an application that can speak or listen problems with video calls. Then, researchers took the services that students were interested more than 50% to develop the applications. It worked through the application, consisting of chatbot, physical health, mental health, and appointment with counselor. The index of item-objective congruence was 0.66-1.00 with additional specialists commenting that the application had an interesting design with good structure to help students. For ethical approval, it was obtained from the Kasetsart University Research Ethics Committee.
... Physical health is defined as the condition of the body, with normal status being without disease or serious illness. Other researchers claim that physical health is an active state, the process of sustaining and developing one's mental functions, biological, and social activity with the longest life expectancy . ...
Few studies have focused on the specific effects of trait mindfulness on physical health status, especially from a resilient aging perspective. This study examined the mediating role of mental health in the association between trait mindfulness and physical health status among middle-older adults in urban China. The participants included 188 individuals who were recruited from a community senior university and five community senior care centers. The findings reveal: (1) trait mindfulness has a strong effect on two physical health indicators (self-rated physical health and subjective sleep quality); (2) mental health is a significant mediator in the relationship between trait mindfulness and physical health status; and (3) the mediation role of mental health is more evident in the self-rated physical health model (24.15%) than subjective sleep quality (18.10%). This study improves our knowledge of how trait mindfulness can lead to a better physical health in middle-older adults and could lead to the development of social value communication and effective prevention.
... Physical development is influenced by factors: Genetics; Health condition; Environmental status; Life style. Besides, the degree of development is also affected by each individual's ability to regulate these factors . Consciousness is described as "a state of understanding and realizing something" , which is closely related to the individual's thoughts, memories, emotions, etc. Consciousness can not only transmit information, but also generate continuously changed and meaningful information according to individual needs, thus allowing individuals to act autonomously . ...
Ethnic minority manpower is a component of manpower, with the criteria of physical strength, mental power, and spirit power of the labor force. The article aims to analyze the current state of awareness of ethnic minority people about the IR4, the effects of the IR4 on physical strength, and the issue of physical development for ethnic minority people in Vietnam in the context of the IR4. The study conducted a survey with 3060 ethnic minority people from 2 ethnic minority groups in 9 provinces of Vietnam. The results of data analysis show that people's awareness of the IR4 has increased, helping people to improve their awareness of the effects of the Industrial Revolution 4.0 on the physical strength of ethnic minority people through which the consciousness of physical factors and factors affecting the physical development of ethnic minority people has also increased. In order to increase physical strength for ethnic minority people, it is necessary to have solutions to increase people's awareness of IR4 as well as its effect on physical strength. Based on the research results, we propose a number of policies to develop the physical strength of ethnic minorities in Vietnam.
... According to , mental and physical health is interrelated and constitutes health in proximity . Hence, health develops in an external environment (societal) ; therefore, social relationships and happiness and life satisfaction are termed as well-being . Thus, to constitute a scale of health and well-being, we reviewed previous scales that have included the components of health and well-being together. ...
There is an increasing acknowledgment of the added value obtained by integrating technological efforts to engage employees round the clock for organizational productivity. Hyperconnectivity is the demand of time for competitive advantage in businesses, but studies on its impact on the health and well-being of the employees have been neglected in academic research. Hence, in this study, we investigated the effect of hyperconnectivity on health and well-being, and in moderating the effect of work-to-family conflict and job demand control imbalance on the health and well-being of the office employees. An online questionnaire survey was used to collect data from 410 office employees working in the oil and gas industry in Malaysia. Respondents were approached through the LinkedIn forum. Statistical tests, principal component analysis, structural equation modeling, and path analysis were conducted. It is found that hyperconnectivity has a negatively insignificant effect on health and well-being. In addition, hyperconnectivity significantly strengthens the negative effect of job demand control imbalance (22%) and work-to-family conflict (24%) on health and well-being. It is concluded that hyperconnectivity decreases health and expedites other psychosocial hazards related to the health and well-being of the employees. Urgent measures should be taken to reduce unnecessary and frequent online notifications, messages, emails, and phone calls, both during and off-working hours. In this way, the effect of job demand control imbalance and work-to-family conflict can be reduced on the health and well-being of the office employees. Considering the negative consequences of hyperconnectivity, this problem should be addressed in health and safety policies in organizations. Future studies can investigate the effect of hyperconnectivity on job demands and control separately.
... Physical health is defined as an organism's normal function at all levels, the standard path of biological processes required for individual survival and reproduction, the dynamic equilibrium of an organism and its processes with the external milieu, involvement in socially beneficial work, the performance of essential social functions, the absence of illnesses, painful situations, and the body's capacity to adapt to the constantly changing environment (Koipysheva, 2018). ...
Managing health and well-being issues can be challenging for college students. Alternative supports, such as online programs, have been identified as cost-effective and efficient methods of providing inclusive support to college students, removing numerous barriers to health and well-being promotion. The article summarized a novel, evidence-based approach to developing an online health and well-being program. The program is based on Cognitive Behavioral Therapy (CBT), the positive emotion, engagement, relationships, meaning, and accomplishments (PERMA) construct, and the analysis, design, development, implementation, and evaluation (ADDIE) model. It discusses future directions in the evaluation, assessment, and documentation of the fitness-for-purpose process. Keywords: well-being, online health, physical health, college students, PERMA, CBT, ADDIE
... Physical health can be defined as normal functioning of the body at all levels; a normal course of biological processes that ensures individual survival and reproduction; a dynamic balance between the body's functions and the environment; participation in social activities and socially useful work; performance of basic social functions; the absence of diseases, painful conditions, and changes; and the body's ability to adjust to the constantly changing conditions of the external environment,  (p. 603), whereas mental health can be defined as "a state of well-being in which the individual realizes his or her own abilities and is able to cope with the normal stresses of life, work productively and fruitfully, and make a contribution to his or her community" . ...
The purpose of the study is to analyze the correlations between two clearly defined forms of non-standard employment (self-employment and mandate contract) and workers’ health. The study also addressed such variables as gender, age, length of service, and the reason for employment (voluntary vs. non-voluntary). The research was carried out in Poland in 2020 using the CATI method (a telephone interviewing technique), and it covered a sample of 200 workers (100 self-employed and 100 working under a mandate contract). Most of the respondents declared that their form of employment did not affect their health. However, the statistical analysis showed significant differences in health status between the self-employed and those working on a mandate contract. Self-employed respondents experienced mental health impacts more often, whereas those working under a mandate contract more frequently declared that their physical health was affected. The length of service was only important for mental health, having a negative impact on it. The respondents’ age and gender turned out to be statistically insignificant, which is in contradiction to many previous research findings. The inability to choose one’s form of employment resulted in worse physical health. These findings demonstrate the importance of certain variables that were not prioritized in previous studies and emphasize the need to clearly define what non-standard and precarious forms of employment are, as well as revealing new correlations between the studied categories and providing directions for further research.
This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning, and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behavior analysis, and social media security analysis. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics.
In recent times, discussion about mental health is getting importance alongside physical health. Due to the pandemic, people got stuck inside their home resulting reduction in physical activity. This has worked as a catalyst in boosting the mental health issues. Due to the pandemic, social media has been used as a medium of communication to a greater extend. Social media posts can tell a lot about the personality and states of mind of people. A section of people with mental health issues provide some hint through their social media handles. In this study, we collect a dataset containing Facebook confessions and apply Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for predicting mental health status. We find a training accuracy of 71.67% and test accuracy of 73.94% on CNN. We implement SimpleRNN that yields results with 71.50% accuracy on training data and 70.10% accuracy on test data. We also implement Long Short-Term Memory (LSTM) network and get exactly the same accuracy as that of SimpleRNN for both training and test data. These results show that the implemented models predict the mental health status with comparably good accuracy.
Purpose: to analyze dynamic of physical condition, considering sex (females) and age of the tested, living in region with unfavorable ecology. Material: we studied pre school age girls (n=1580, age 4-7 years). In the research we did not include children with chronic diseases, who were under observation. We tested schoolgirls (n=3211, age 7-17 years) and girl students (n=5827, age 17-21 years, 1-4 years of study. Girl students were divided into five age groups: from 17 to 21 years. All participants lived in conditions of Eastern Siberia (Irkutsk). This region is characterized by unfavorable ecology and climate geographic characteristics. Results: in dynamic of physical condition of pre-school girls, schoolgirls and students we marked out three substantial periods of it characteristics' changes. Age 7-8 years is critical (transition from 1st to 2nd stage). The least values of these characteristics are found in older (after 17-18 years) ages. In students we observed relative stabilization of these indicators. Conclusions: the received results shall be considered in building physical education training process in pre-school educational establishments, secondary comprehensive schools and higher educational establishments.
The article presents a study of health indicators in young males studying at the university, differentiated according to the volume of their weekly motor activity-more than 8 hours per week, from 6 to 8, from 2 to 4 hours per week. The highest values of the health index were registered in sporting students, and in young males attending extra-curricular recreational physical education classes, the smallest ones - in young males attending only compulsory physical education classes, as well as in those students engaged in motor activity of increased volume. The detected differences in the physical health indicators stipulate a differentiated approach to the organization and maintenance of the compulsory curricular and extra-curricular forms of physical education of university students. Thus, it should be noted that the low functionality of the body of students, additionally engaged in health-improving physical culture, prevents them from participating in competitive activities, but at the same time, the high level of motivation makes it possible to involve them into participation in competitions by selecting the appropriate means and methods of pedagogical influence, aimed to solve the problem of involvement of students into the mass recreational and sports movement.
Principles of physical education in the context of doctrine of development of abilities
- G N References Germanov
- A E Stradze
- I A Sabirova
References Germanov, G.N., Stradze A.E., & Sabirova I.A. (2018). Principles of physical education in the context of doctrine of development of abilities. Theory and Practice of Physical Culture, 2, 47-50.
Technological support of test control of strength abilities of students of special medical groups
- V M Koryagin
- O Z Blavt
Koryagin, V.M., & Blavt, O.Z. (2016). Technological support of test control of strength abilities of students of special medical groups. Physical Education of Students, 1, 43-48.
Monitoring technologies when assessing physical fitness of students of a technical university
- E A Koypysheva
- L D Rybina
- V Lebedinsky
Koypysheva, E.A., Rybina, L.D., & Lebedinsky, V.Yu. (2015). Monitoring technologies when assessing physical fitness of students of a technical university. Theory and Practice of Physical Culture, 9, 11-13.
Assessment of the health status of students against indicators of adaptive potential, biological age and reserves of bioenergetics of organism
- O V Martynyuk
- V N Vilyansky
Martynyuk, O.V., & Vilyansky, V.N. (2015). Assessment of the health status of students against indicators of adaptive potential, biological age and reserves of bioenergetics of organism. Physical Education of Students, 3, 20-28.
Interrelation of physical activity, health and quality of life of students
- Yu D Zheleznyak
- A V Leifa
- Yu M Perelman
Zheleznyak, Yu.D., Leifa, A.V., & Perelman, Yu.M. (2015). Interrelation of physical activity, health and quality of life of students. Theory and Practice of Physical Culture, 11, 41-43.