scholarly journals The Physical Health Evaluation of Adolescent Students Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Chunyan Fan
Keyword(s):  
Big Data ◽  
Physical Health ◽  
Evaluation Index System ◽  
Health Evaluation ◽  
Young Generation ◽  
Adolescent Students ◽  
Capacity Evaluation ◽  
The Status ◽  
Physical Health Problems ◽  
Health Quality

Globally, it is widely accepted that the physical health of the young generation is continuously declining which remained unnoticed in many countries including China. Therefore, it is very important to scientifically investigate the evaluation index system and effectively interrogate the current health position of the young generation especially students. The results regarding health issues will be further investigated in terms of finding the optimal solutions for improving the status quo. Considering adolescent physical health evaluation indicators of Chinese students, this paper introduces the new era of adolescent physical health evaluation which should focus on “health quality indicators” for analyzing the objectivity and applicability of the indicators through testing and research methods. The method of simulation experiment research is used to demonstrate the scientificity and validity of the index. The optimization of the physical health evaluation indicators of adolescent students helps in assessing the health quality of adolescents, scientifically and accurately. In addition, it can effectively improve the physical health problems faced by adolescents. The proposed model achieves the evaluation indicators of adolescent health quality, collects physical health information and exercise data of adolescent students in a certain area of the northwest through big data, and conducts research as the research object. Furthermore, through the collation and analysis of the correlation data of the aerobic capacity evaluation indicators, the results show that the mid-run test value currently used in China is negatively correlated with the relative value of the measured maximum oxygen uptake on the treadmill.

scholarly journals An Empirical Study on the Precise Employment Situation-Oriented Analysis of Digital-Driven Talents with Big Data Analysis

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Lin Li ◽  
Sang-Bing Tsai
Keyword(s):  
Big Data ◽  
College Graduates ◽  
Pearson Correlation ◽  
Current Situation ◽  
Evaluation Index System ◽  
Web Crawler ◽  
Overall Design ◽  
The Status ◽  
Stakeholder Perspective ◽  
Database Technology

This paper conducts an in-depth research analysis on the precise employment of college graduates in the context of big data using a number-driven approach. The textual information of the study is obtained by using in-depth interviews, and the evaluation index system of college students’ employment quality is constructed by combining the step-by-step coding method with rooting theory. The research on the current situation of employment recommendation platform research and the application status of big data in the employment recommendation platform is explored by using a bibliometric approach. And the innovative use of web crawler technology is used to comprehensively understand the recommendation function and status quo of the same type of recommendation platform, which provides a reference for the research of this platform. Based on the preliminary analysis of platform requirements and overall design, the overall design and functional implementation of the big data employment recommendation platform are carried out by using big data crawler technology, big data architecture technology, text mining technology, database technology, etc. The construction of a recommendation module based on user history information, a recommendation based on real-time user online behavior data, and hybrid recommendation carried out on the recommendation module to grasp all-round the platform is built based on a stakeholder perspective. Based on the platform construction, the initial platform operation and maintenance management mechanism was established from the stakeholder’s perspective. The Pearson correlation coefficient is used to objectively evaluate the current situation of talent supply in universities and talent demand in enterprises from the perspective of image and data. In the research on the development status of the big data education industry, the Lorenz curve and Gini coefficient are used to match the status of new big data majors with their college construction volume in each province and provide data support for the reasonable adjustment of majors setting in each province according to the education level.

TATUS KESEHATAN MENTAL PASIEN GOUT ARHTRITIS DI KOTA TOMOHON

2019 ◽  
Vol 19 (2) ◽  
pp. 226
Author(s):  
Desi Desi
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Physical Health ◽  
Quantitative Research ◽  
Survey Methods ◽  
Physical Symptoms ◽  
Study Data ◽  
Mental Health Status ◽  
Physical Health Problems ◽  
Descriptive Approach

<span class="fontstyle0">Gout Arthritis </span><span class="fontstyle0">is a disease known as gout, but in certain conditions this disease can cause physical<br />symptoms that are not visible to some people. When there are problems with physical health, other<br />health aspects will also have an impact. The same is true for patients diagnosed with </span><span class="fontstyle0">Gout Arthritis</span><span class="fontstyle0">,<br />not only physical aspects but can affect other aspects, especially when having physical symptoms such<br />as tofi. Mental health is a condition where there is a balance between emotional, behavioral and<br />cognitive. This is the basis of the importance of maintaining mental health for someone who does not<br />have physical health problems and for someone who has a disease such as </span><span class="fontstyle0">Gout Arthritis </span><span class="fontstyle0">patients. The<br />purpose of this study was to find out how mental health status in </span><span class="fontstyle0">Gout Arthritis </span><span class="fontstyle0">patients in Tomohon<br />City. Quantitative research using a descriptive approach was used in this study. Data collection used<br />survey methods with questionnaires. The results showed that the majority of respondents had adequate<br />mental health (80.6%). Based on the results of the study, it was concluded that mental health status in<br /></span><span class="fontstyle0">Gout Arthriti</span><span class="fontstyle0">s patients in Tomohon City was at a sufficient level. These influenced by himself and the<br />environment around them.</span> <br /><br />

scholarly journals Mental and Physical Health Problems as Conditions of Ex-Prisoner Re-Entry

2021 ◽  
Vol 18 (14) ◽  
pp. 7642
Author(s):  
Anna Pękala-Wojciechowska ◽  
Andrzej Kacprzak ◽  
Krzysztof Pękala ◽  
Marta Chomczyńska ◽  
Piotr Chomczyński ◽  
...  
Keyword(s):  
Juvenile Offenders ◽  
Physical Health ◽  
Social Stigma ◽  
Prison Population ◽  
Health Problems ◽  
Juvenile Detention ◽  
Detention Centers ◽  
Physical Health Problems ◽  
Group Interviews ◽  
Mental And Physical Health

The article focuses on a less-discussed issue of social marginalization of people leaving penitentiaries, which is the prevalence of multifaceted health problems experienced by people in this category. It includes poor health status, resulting from, among others, poor housing conditions, harmful or risky lifestyle, and lack of access to medical services. Data from the District Inspectorate of the Prison Service in Lodz, Poland on the health conditions of inmates was accessed. These data were supplemented by qualitative research conducted in 21 juvenile detention centers and 8 prisons across the country, conducting direct observations and In-Depth Interviews (IDI). A total of 198 IDIs were conducted with incarcerated (72) and released (30) juvenile offenders, and incarcerated (68) and released (28) adult offenders. These were complemented by IDIs with experts (50) and Focus Group Interviews (FGIs; 8) with male and female inmates in 4 Polish prisons. The study revealed that mental and physical health is a serious obstacle to social reintegration of ex-prisoners. It is rarely addressed by state institutions. There are strong associations between neglect of health issues in the prison population and increasing social exclusion after leaving prison. As Poland has a restrictive penal policy, former prisoners remain a group with social stigma and little support.

scholarly journals The Australian Child Maltreatment Study (ACMS): protocol for a national survey of the prevalence of child abuse and neglect, associated mental disorders and physical health problems, and burden of disease

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e047074
Author(s):  
Ben Mathews ◽  
Rosana Pacella ◽  
Michael Dunne ◽  
James Scott ◽  
David Finkelhor ◽  
...  
Keyword(s):  
Child Maltreatment ◽  
Mental Disorders ◽  
Physical Health ◽  
Burden Of Disease ◽  
Emotional Abuse ◽  
Health Problems ◽  
Risk Behaviours ◽  
Exposure To Domestic Violence ◽  
Physical Health Problems ◽  
Health Disorders

IntroductionChild maltreatment (physical abuse, sexual abuse, emotional abuse, neglect and exposure to domestic violence) is widely understood to be associated with multiple mental health disorders, physical health problems and health risk behaviours throughout life. However, Australia lacks fundamental evidence about the prevalence and characteristics of child maltreatment, its associations with mental disorders and physical health, and the associated burden of disease. These evidence gaps impede the development of public health strategies to better prevent and respond to child maltreatment. The aims of this research are to generate the first comprehensive population-based national data on the prevalence of child maltreatment in Australia, identify associations with mental disorders and physical health conditions and other adverse consequences, estimate attributable burden of disease and indicate targeted areas for future optimal public health prevention strategies.Methods and analysisThe Australian Child Maltreatment Study (ACMS) is a nationwide, cross-sectional study of Australia’s population aged 16 years and over. A survey of approximately 10 000 Australians will capture retrospective self-reported data on the experience in childhood of all five types of maltreatment (physical abuse, sexual abuse, emotional abuse, neglect and exposure to domestic violence). A customised, multimodule survey instrument has been designed to obtain information including: the prevalence and characteristics of these experiences; diagnostic screening of common mental health disorders; physical health; health risk behaviours and health service utilisation. The survey will be administered in March–November 2021 to a random sample of the nationwide population, recruited through mobile phone numbers. Participants will be surveyed using computer-assisted telephone interviews, conducted by trained interviewers from the Social Research Centre, an agency with extensive experience in studies of health and adversity. Rigorous protocols protect the safety of both participants and interviewers, and comply with all ethical and legal requirements. Analysis will include descriptive statistics reporting the prevalence of individual and multitype child maltreatment, multiple logistic and linear regression analyses to determine associations with mental disorders and physical health problems. We will calculate the population attributable fractions of these putative outcomes to enable an estimation of the disease burden attributable to child maltreatment.Ethics and disseminationThe study has been approved by the Queensland University of Technology Human Research Ethics Committee (#1900000477, 16 August 2019). Results will be published to the scientific community in peer-reviewed journals, scientific meetings and through targeted networks. Findings and recommendations will be shared with government policymakers and community and organisational stakeholders through diverse engagement activities, a dedicated Advisory Board and a systematic knowledge translation strategy. Results will be communicated to the public through an organised media strategy and the ACMS website.

scholarly journals The employment and mental health impact of integrated improving access to psychological therapies services: Evidence on secondary health care utilization from a pragmatic trial in three English counties

2021 ◽  
pp. 135581962199749
Author(s):  
Veronica Toffolutti ◽  
David Stuckler ◽  
Martin McKee ◽  
Ineke Wolsey ◽  
Judith Chapman ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Care Utilization ◽  
Physical Health ◽  
Health Problems ◽  
Care Utilization ◽  
Psychological Therapies ◽  
Physical Health Problems ◽  
Secondary Health Care

Objective Patients with a combination of long-term physical health problems can face barriers in obtaining appropriate treatment for co-existing mental health problems. This paper evaluates the impact of integrating the improving access to psychological therapies services (IAPT) model with services addressing physical health problems. We ask whether such services can reduce secondary health care utilization costs and improve the employment prospects of those so affected. Methods We used a stepped-wedge design of two cohorts of a total of 1,096 patients with depression and/or anxiety and comorbid long-term physical health conditions from three counties within the Thames Valley from March to August 2017. Panels were balanced. Difference-in-difference models were employed in an intention-to-treat analysis. Results The new Integrated-IAPT was associated with a decrease of 6.15 (95% CI: −6.84 to −5.45) [4.83 (95% CI: −5.47 to −4.19]) points in the Patient Health Questionnaire-9 [generalized anxiety disorder-7] and £360 (95% CI: –£559 to –£162) in terms of secondary health care utilization costs per person in the first three months of treatment. The Integrated-IAPT was also associated with an 8.44% (95% CI: 1.93% to 14.9%) increased probability that those who were unemployed transitioned to employment. Conclusions Mental health treatment in care model with Integrated-IAPT seems to have significantly reduced secondary health care utilization costs among persons with long-term physical health conditions and increased their probability of employment.

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